Overview

Dataset statistics

Number of variables327
Number of observations5499
Missing cells1693125
Missing cells (%)94.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 MiB
Average record size in memory2.6 KiB

Variable types

Text307
Categorical12
Unsupported8

Dataset

Description대전광역시 도로관리시스템에 등재된 자전거도로 현황입니다. ※ 2022년 공공데이터 기업 매칭 지원사업으로 청년 인턴을 통해 구축·정비된 데이터입니다. 법적 효력이 없으므로 참고 목적으로만 활용하시기 바랍니다.
URLhttps://www.data.go.kr/data/15110475/fileData.do

Alerts

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자전거도로구분 is highly imbalanced (83.5%)Imbalance
위치구분 is highly imbalanced (87.7%)Imbalance
자전거도로재질 is highly imbalanced (83.0%)Imbalance
경계종류 is highly imbalanced (87.3%)Imbalance
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Unnamed: 260 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 261 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 262 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 263 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 264 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 265 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 266 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 267 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 268 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 269 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 270 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 271 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 272 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 273 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 274 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 275 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 276 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 277 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 278 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 279 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 280 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 281 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 282 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 283 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 284 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 285 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 286 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 287 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 288 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 289 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 290 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 291 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 292 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 293 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 294 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 295 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 296 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 297 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 298 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 299 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 300 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 301 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 302 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 303 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 304 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 305 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 306 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 307 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 308 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 309 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 310 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 311 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 312 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 313 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 314 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 315 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 317 has 5499 (100.0%) missing valuesMissing
Unnamed: 318 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 319 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 320 has 5498 (> 99.9%) missing valuesMissing
Unnamed: 323 has 5498 (> 99.9%) missing valuesMissing
지도 공간 참조 시스템 언어 has unique valuesUnique
도엽번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설치일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
연장 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폭원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대장초기화여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관리번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로구간번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 317 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:21:57.140125
Analysis finished2023-12-12 10:22:07.347423
Duration10.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5499
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2023-12-12T19:22:07.531407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length997
Mean length521.58902
Min length9

Characters and Unicode

Total characters2868218
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5499 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((223273.661043151 412463.680242054,223255.270368353 412457.657604144,223255.217517084 412457.651767852,223250.446806143 412457.245415657,223245.664751732 412456.958340825,223240.838541432 412456.789605076,223235.896990277 412456.691669106,223230.896809183 412456.593339975,223225.896628089 412456.495010844,223220.896446995 412456.396681714,223215.896265901 412456.298352583,223210.896084807 412456.200023452,223205.973496712 412456.103220197,223186.051258034 412456.138337463,223186.055709269 412458.663553188,223205.091 412458.618,223230.394999995 412459.098,223246.892000001 412459.449,223249.653 412459.63,223254.259 412460.06,223257.600999998 412461.051999999,223272.847000001 412466.004,223289.007 412469.664,223299.377000001 412472.824,223308.76 412476.306,223310.62 412477.086,223312.071 412477.93,223312.996 412478.977,223314.195 412480.988,223314.445 412481.166,223315.905 412481.694,223316.907873026 412481.484383097,223316.797941781 412481.118202531,223316.675631343 412480.755968847,223316.541082
2nd rowMULTIPOLYGON (((223433.801715632 412619.900911235,223436.461425006 412625.566566449,223439.274976784 412631.157418742,223442.240269228 412636.669291716,223445.35508725 412642.098067974,223449.110511324 412648.219883121,223453.056057601 412654.220924301,223457.187845328 412660.09528902,223461.501810568 412665.837199381,223465.993710197 412671.441007764,223470.65912608 412676.901202385,223475.493469417 412682.212412716,223478.85923188 412685.929934297,223482.444495339 412689.712875642,223486.112581012 412693.410974707,223489.798823876 412696.972903654,223493.537978413 412700.552003536,223546.64801866 412748.433318384,223547.099711395 412748.855024404,223547.536451313 412749.292197755,223547.957709076 412749.744308572,223548.362974111 412750.210808888,223548.751755229 412750.691133295,223549.123581218 412751.184699631,223549.478001418 412751.690909681,223549.814586265 412752.20914991,223550.13292781 412752.7387922,223550.432640217 412753.279194612,223550.713360228 412753.829702168,223550.974747605 412754.3896476
3rd rowMULTIPOLYGON (((233021.944 430461.745,233021.516 430461.199,233016.675 430454.239,233016.198 430453.511,233014.915 430453.604,233013.16 430453.466,233020.946 430464.698,233021.378 430463.188,233021.944 430461.745)))
4th rowMULTIPOLYGON (((232994.854 430470.305,232997.744 430474.561,232997.917 430474.821,232999.269 430474.673,233000.941 430474.896,233000.336 430473.987,232995.681 430467.179,232995.248 430468.814,232994.663 430470.032,232994.854 430470.305)))
5th rowMULTIPOLYGON (((233053.671 430551.482,233053.446 430570.543,233035.517 430570.761,233035.611 430572.083,233035.68 430573.262,233037.341 430573.241,233052.232 430573.065,233053.144 430573.06,233053.551 430571.91,233054.862 430569.647,233056.052 430568.172,233056.033 430565.115,233056.148 430554.388,233056.181 430553.119,233055.02 430552.507,233053.671 430551.482)))
ValueCountFrequency (%)
multipolygon 5498
 
5.8%
411608.67819 2
 
< 0.1%
233116.361622704 2
 
< 0.1%
419404.36 2
 
< 0.1%
430889.236359433 2
 
< 0.1%
231325.04256337 2
 
< 0.1%
233057.251741006 2
 
< 0.1%
414286.24522438 2
 
< 0.1%
430647.831941135 2
 
< 0.1%
233592.914 2
 
< 0.1%
Other values (88859) 88864
94.2%
2023-12-12T19:22:07.931252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 315117
11.0%
4 305680
10.7%
3 276040
9.6%
1 270830
9.4%
5 215229
7.5%
9 213827
7.5%
7 213639
7.4%
8 213422
7.4%
6 212158
7.4%
0 203203
7.1%
Other values (15) 429073
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2439145
85.0%
Other Punctuation 244718
 
8.5%
Space Separator 88882
 
3.1%
Uppercase Letter 65976
 
2.3%
Open Punctuation 16496
 
0.6%
Close Punctuation 13001
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 315117
12.9%
4 305680
12.5%
3 276040
11.3%
1 270830
11.1%
5 215229
8.8%
9 213827
8.8%
7 213639
8.8%
8 213422
8.7%
6 212158
8.7%
0 203203
8.3%
Uppercase Letter
ValueCountFrequency (%)
O 10996
16.7%
L 10996
16.7%
U 5498
8.3%
N 5498
8.3%
G 5498
8.3%
Y 5498
8.3%
P 5498
8.3%
I 5498
8.3%
T 5498
8.3%
M 5498
8.3%
Other Punctuation
ValueCountFrequency (%)
. 166765
68.1%
, 77953
31.9%
Space Separator
ValueCountFrequency (%)
88882
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16496
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13001
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2802242
97.7%
Latin 65976
 
2.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 315117
11.2%
4 305680
10.9%
3 276040
9.9%
1 270830
9.7%
5 215229
7.7%
9 213827
7.6%
7 213639
7.6%
8 213422
7.6%
6 212158
7.6%
0 203203
7.3%
Other values (5) 363097
13.0%
Latin
ValueCountFrequency (%)
O 10996
16.7%
L 10996
16.7%
U 5498
8.3%
N 5498
8.3%
G 5498
8.3%
Y 5498
8.3%
P 5498
8.3%
I 5498
8.3%
T 5498
8.3%
M 5498
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2868218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 315117
11.0%
4 305680
10.7%
3 276040
9.6%
1 270830
9.4%
5 215229
7.5%
9 213827
7.5%
7 213639
7.4%
8 213422
7.4%
6 212158
7.4%
0 203203
7.1%
Other values (15) 429073
15.0%

지형지물부호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
자전거도로
5497 
<NA>
 
1
237095.803669057 423370.028843019
 
1

Length

Max length33
Median length5
Mean length5.00491
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row자전거도로
2nd row자전거도로
3rd row자전거도로
4th row자전거도로
5th row자전거도로

Common Values

ValueCountFrequency (%)
자전거도로 5497
> 99.9%
<NA> 1
 
< 0.1%
237095.803669057 423370.028843019 1
 
< 0.1%

Length

2023-12-12T19:22:08.065911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:22:08.167495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자전거도로 5497
99.9%
na 1
 
< 0.1%
237095.803669057 1
 
< 0.1%
423370.028843019 1
 
< 0.1%

행정읍면동
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
대전광역시 서구
1465 
대전광역시 유성구
1436 
대전광역시 동구
923 
대전광역시 대덕구
858 
대전광역시 중구
815 
Other values (2)
 
2

Length

Max length32
Median length8
Mean length8.4208038
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row대전광역시 유성구
2nd row대전광역시 유성구
3rd row대전광역시 유성구
4th row대전광역시 유성구
5th row대전광역시 유성구

Common Values

ValueCountFrequency (%)
대전광역시 서구 1465
26.6%
대전광역시 유성구 1436
26.1%
대전광역시 동구 923
16.8%
대전광역시 대덕구 858
15.6%
대전광역시 중구 815
14.8%
<NA> 1
 
< 0.1%
237086.51464583 423349.798922114 1
 
< 0.1%

Length

2023-12-12T19:22:08.279687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:22:08.388440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 5497
50.0%
서구 1465
 
13.3%
유성구 1436
 
13.1%
동구 923
 
8.4%
대덕구 858
 
7.8%
중구 815
 
7.4%
na 1
 
< 0.1%
237086.51464583 1
 
< 0.1%
423349.798922114 1
 
< 0.1%

도엽번호
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size43.1 KiB

설치일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5232
Missing (%)95.1%
Memory size43.1 KiB

자전거도로구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
자전거보행자겸용도로
5163 
자전거전용도로
 
148
미분류
 
118
자전거자동차겸용도로
 
68
<NA>
 
1

Length

Max length33
Median length10
Mean length9.7721404
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row자전거보행자겸용도로
2nd row자전거보행자겸용도로
3rd row자전거보행자겸용도로
4th row자전거보행자겸용도로
5th row자전거보행자겸용도로

Common Values

ValueCountFrequency (%)
자전거보행자겸용도로 5163
93.9%
자전거전용도로 148
 
2.7%
미분류 118
 
2.1%
자전거자동차겸용도로 68
 
1.2%
<NA> 1
 
< 0.1%
237068.700681815 423310.273387246 1
 
< 0.1%

Length

2023-12-12T19:22:08.514784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:22:08.630946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자전거보행자겸용도로 5163
93.9%
자전거전용도로 148
 
2.7%
미분류 118
 
2.1%
자전거자동차겸용도로 68
 
1.2%
na 1
 
< 0.1%
237068.700681815 1
 
< 0.1%
423310.273387246 1
 
< 0.1%

위치구분
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
미분류
5229 
 
112
 
105
중앙
 
41
횡단보도
 
7
Other values (3)
 
5

Length

Max length33
Median length3
Mean length2.9199855
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row
2nd row
3rd row횡단보도
4th row횡단보도
5th row횡단보도

Common Values

ValueCountFrequency (%)
미분류 5229
95.1%
112
 
2.0%
105
 
1.9%
중앙 41
 
0.7%
횡단보도 7
 
0.1%
기타 3
 
0.1%
<NA> 1
 
< 0.1%
237052.566824106 423273.813091628 1
 
< 0.1%

Length

2023-12-12T19:22:08.793019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:22:08.910167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 5229
95.1%
112
 
2.0%
105
 
1.9%
중앙 41
 
0.7%
횡단보도 7
 
0.1%
기타 3
 
0.1%
na 1
 
< 0.1%
237052.566824106 1
 
< 0.1%
423273.813091628 1
 
< 0.1%

자전거도로재질
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
아스콘
5043 
블록
 
241
투수콘크리트
 
103
아스팔트
 
77
투수아스팔트콘크리트
 
19
Other values (5)
 
16

Length

Max length33
Median length3
Mean length3.0572831
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row아스콘
2nd row아스콘
3rd row아스팔트
4th row아스팔트
5th row아스팔트

Common Values

ValueCountFrequency (%)
아스콘 5043
91.7%
블록 241
 
4.4%
투수콘크리트 103
 
1.9%
아스팔트 77
 
1.4%
투수아스팔트콘크리트 19
 
0.3%
콘크리트 7
 
0.1%
미분류 6
 
0.1%
기타 1
 
< 0.1%
<NA> 1
 
< 0.1%
237034.288960652 423230.804104682 1
 
< 0.1%

Length

2023-12-12T19:22:09.061931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:22:09.200469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아스콘 5043
91.7%
블록 241
 
4.4%
투수콘크리트 103
 
1.9%
아스팔트 77
 
1.4%
투수아스팔트콘크리트 19
 
0.3%
콘크리트 7
 
0.1%
미분류 6
 
0.1%
기타 1
 
< 0.1%
na 1
 
< 0.1%
237034.288960652 1
 
< 0.1%

연장
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size43.1 KiB

폭원
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size43.1 KiB

경계종류
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
미분류
5230 
경계석
 
195
도색
 
70
포장
 
2
<NA>
 
1

Length

Max length32
Median length3
Mean length2.9923622
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row포장
2nd row포장
3rd row도색
4th row도색
5th row도색

Common Values

ValueCountFrequency (%)
미분류 5230
95.1%
경계석 195
 
3.5%
도색 70
 
1.3%
포장 2
 
< 0.1%
<NA> 1
 
< 0.1%
237005.83657594 423160.382588819 1
 
< 0.1%

Length

2023-12-12T19:22:09.353789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:22:09.458210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 5230
95.1%
경계석 195
 
3.5%
도색 70
 
1.3%
포장 2
 
< 0.1%
na 1
 
< 0.1%
237005.83657594 1
 
< 0.1%
423160.382588819 1
 
< 0.1%

대장초기화여부
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size43.1 KiB

관리번호
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size43.1 KiB

도로구간번호
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size43.1 KiB

Unnamed: 14
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:09.624072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236984.880851595 423091.463479264
ValueCountFrequency (%)
236984.880851595 1
50.0%
423091.463479264 1
50.0%
2023-12-12T19:22:09.884696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5
15.2%
9 4
12.1%
8 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
16.7%
9 4
13.3%
8 4
13.3%
2 3
10.0%
3 3
10.0%
6 3
10.0%
5 3
10.0%
0 2
 
6.7%
1 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5
15.2%
9 4
12.1%
8 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5
15.2%
9 4
12.1%
8 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 15
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:10.076077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236978.433335242 423068.690209683
ValueCountFrequency (%)
236978.433335242 1
50.0%
423068.690209683 1
50.0%
2023-12-12T19:22:10.368141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
21.2%
2 5
15.2%
6 4
12.1%
9 3
9.1%
8 3
9.1%
4 3
9.1%
0 3
9.1%
. 2
 
6.1%
7 1
 
3.0%
5 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
23.3%
2 5
16.7%
6 4
13.3%
9 3
10.0%
8 3
10.0%
4 3
10.0%
0 3
10.0%
7 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
21.2%
2 5
15.2%
6 4
12.1%
9 3
9.1%
8 3
9.1%
4 3
9.1%
0 3
9.1%
. 2
 
6.1%
7 1
 
3.0%
5 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
21.2%
2 5
15.2%
6 4
12.1%
9 3
9.1%
8 3
9.1%
4 3
9.1%
0 3
9.1%
. 2
 
6.1%
7 1
 
3.0%
5 1
 
3.0%

Unnamed: 16
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:10.532879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236970.527382734 423040.580621766
ValueCountFrequency (%)
236970.527382734 1
50.0%
423040.580621766 1
50.0%
2023-12-12T19:22:10.829063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
3 4
12.1%
6 4
12.1%
7 4
12.1%
0 4
12.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
3 4
13.3%
6 4
13.3%
7 4
13.3%
0 4
13.3%
4 3
10.0%
5 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
3 4
12.1%
6 4
12.1%
7 4
12.1%
0 4
12.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
3 4
12.1%
6 4
12.1%
7 4
12.1%
0 4
12.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 17
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:11.019892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236970.52000495 423040.556703994
ValueCountFrequency (%)
236970.52000495 1
50.0%
423040.556703994 1
50.0%
2023-12-12T19:22:11.304620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
21.9%
9 4
12.5%
5 4
12.5%
4 4
12.5%
2 3
9.4%
3 3
9.4%
6 2
 
6.2%
7 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
24.1%
9 4
13.8%
5 4
13.8%
4 4
13.8%
2 3
10.3%
3 3
10.3%
6 2
 
6.9%
7 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7
21.9%
9 4
12.5%
5 4
12.5%
4 4
12.5%
2 3
9.4%
3 3
9.4%
6 2
 
6.2%
7 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
21.9%
9 4
12.5%
5 4
12.5%
4 4
12.5%
2 3
9.4%
3 3
9.4%
6 2
 
6.2%
7 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Unnamed: 18
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:11.455531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236969.02105003 423036.096828513
ValueCountFrequency (%)
236969.02105003 1
50.0%
423036.096828513 1
50.0%
2023-12-12T19:22:11.699010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.8%
3 5
15.6%
2 4
12.5%
6 4
12.5%
9 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.7%
3 5
17.2%
2 4
13.8%
6 4
13.8%
9 3
10.3%
1 2
 
6.9%
5 2
 
6.9%
8 2
 
6.9%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.8%
3 5
15.6%
2 4
12.5%
6 4
12.5%
9 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.8%
3 5
15.6%
2 4
12.5%
6 4
12.5%
9 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1
 
3.1%

Unnamed: 19
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:11.834616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236969.017887434 423036.087711087
ValueCountFrequency (%)
236969.017887434 1
50.0%
423036.087711087 1
50.0%
2023-12-12T19:22:12.104101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
3 4
12.1%
0 4
12.1%
8 4
12.1%
6 3
9.1%
1 3
9.1%
4 3
9.1%
2 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
3 4
13.3%
0 4
13.3%
8 4
13.3%
6 3
10.0%
1 3
10.0%
4 3
10.0%
2 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
3 4
12.1%
0 4
12.1%
8 4
12.1%
6 3
9.1%
1 3
9.1%
4 3
9.1%
2 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
3 4
12.1%
0 4
12.1%
8 4
12.1%
6 3
9.1%
1 3
9.1%
4 3
9.1%
2 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%

Unnamed: 20
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:12.272779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236963.384350713 423020.339364593
ValueCountFrequency (%)
236963.384350713 1
50.0%
423020.339364593 1
50.0%
2023-12-12T19:22:12.598896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 10
30.3%
2 3
 
9.1%
6 3
 
9.1%
9 3
 
9.1%
4 3
 
9.1%
0 3
 
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 10
33.3%
2 3
 
10.0%
6 3
 
10.0%
9 3
 
10.0%
4 3
 
10.0%
0 3
 
10.0%
5 2
 
6.7%
8 1
 
3.3%
7 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 10
30.3%
2 3
 
9.1%
6 3
 
9.1%
9 3
 
9.1%
4 3
 
9.1%
0 3
 
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 10
30.3%
2 3
 
9.1%
6 3
 
9.1%
9 3
 
9.1%
4 3
 
9.1%
0 3
 
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 21
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:12.810956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236958.053632368 423005.678017005
ValueCountFrequency (%)
236958.053632368 1
50.0%
423005.678017005 1
50.0%
2023-12-12T19:22:13.112574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.2%
3 5
15.2%
6 4
12.1%
5 4
12.1%
2 3
9.1%
8 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
9 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
3 5
16.7%
6 4
13.3%
5 4
13.3%
2 3
10.0%
8 3
10.0%
7 2
 
6.7%
9 1
 
3.3%
4 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.2%
3 5
15.2%
6 4
12.1%
5 4
12.1%
2 3
9.1%
8 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
9 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
3 5
15.2%
6 4
12.1%
5 4
12.1%
2 3
9.1%
8 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
9 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 22
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:13.292713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236955.207363092 422996.287233873
ValueCountFrequency (%)
236955.207363092 1
50.0%
422996.287233873 1
50.0%
2023-12-12T19:22:13.601143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
3 6
18.2%
9 4
12.1%
6 3
9.1%
7 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
3 6
20.0%
9 4
13.3%
6 3
10.0%
7 3
10.0%
5 2
 
6.7%
0 2
 
6.7%
8 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
3 6
18.2%
9 4
12.1%
6 3
9.1%
7 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
3 6
18.2%
9 4
12.1%
6 3
9.1%
7 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Unnamed: 23
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:13.768456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236953.270252773 422987.37369733
ValueCountFrequency (%)
236953.270252773 1
50.0%
422987.37369733 1
50.0%
2023-12-12T19:22:14.128282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
21.9%
2 6
18.8%
7 6
18.8%
9 3
9.4%
6 2
 
6.2%
5 2
 
6.2%
. 2
 
6.2%
0 1
 
3.1%
1
 
3.1%
4 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
24.1%
2 6
20.7%
7 6
20.7%
9 3
10.3%
6 2
 
6.9%
5 2
 
6.9%
0 1
 
3.4%
4 1
 
3.4%
8 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
21.9%
2 6
18.8%
7 6
18.8%
9 3
9.4%
6 2
 
6.2%
5 2
 
6.2%
. 2
 
6.2%
0 1
 
3.1%
1
 
3.1%
4 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
21.9%
2 6
18.8%
7 6
18.8%
9 3
9.4%
6 2
 
6.2%
5 2
 
6.2%
. 2
 
6.2%
0 1
 
3.1%
1
 
3.1%
4 1
 
3.1%

Unnamed: 24
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:14.299457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236950.364174591 422970.021990185
ValueCountFrequency (%)
236950.364174591 1
50.0%
422970.021990185 1
50.0%
2023-12-12T19:22:14.616279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
0 4
12.1%
1 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
16.7%
2 4
13.3%
0 4
13.3%
1 4
13.3%
5 3
10.0%
4 3
10.0%
3 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
0 4
12.1%
1 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
0 4
12.1%
1 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 25
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:14.818898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236948.965436924 422961.553412915
ValueCountFrequency (%)
236948.965436924 1
50.0%
422961.553412915 1
50.0%
2023-12-12T19:22:15.106515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
9 5
15.2%
4 5
15.2%
6 4
12.1%
5 4
12.1%
3 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
9 5
16.7%
4 5
16.7%
6 4
13.3%
5 4
13.3%
3 3
10.0%
1 3
10.0%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
9 5
15.2%
4 5
15.2%
6 4
12.1%
5 4
12.1%
3 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
9 5
15.2%
4 5
15.2%
6 4
12.1%
5 4
12.1%
3 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Unnamed: 26
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:15.285591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236945.662003422 422941.169088862
ValueCountFrequency (%)
236945.662003422 1
50.0%
422941.169088862 1
50.0%
2023-12-12T19:22:15.588375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
4 4
12.1%
9 3
9.1%
0 3
9.1%
8 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
5 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
6 5
16.7%
4 4
13.3%
9 3
10.0%
0 3
10.0%
8 3
10.0%
3 2
 
6.7%
1 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
4 4
12.1%
9 3
9.1%
0 3
9.1%
8 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
5 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
4 4
12.1%
9 3
9.1%
0 3
9.1%
8 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
5 1
 
3.0%

Unnamed: 27
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:15.785948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236939.344840437 422900.096739328
ValueCountFrequency (%)
236939.344840437 1
50.0%
422900.096739328 1
50.0%
2023-12-12T19:22:16.103307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
9 5
15.2%
4 5
15.2%
2 4
12.1%
0 4
12.1%
6 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
9 5
16.7%
4 5
16.7%
2 4
13.3%
0 4
13.3%
6 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
9 5
15.2%
4 5
15.2%
2 4
12.1%
0 4
12.1%
6 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
9 5
15.2%
4 5
15.2%
2 4
12.1%
0 4
12.1%
6 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Unnamed: 28
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:16.274479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236931.742610356 422853.674900698
ValueCountFrequency (%)
236931.742610356 1
50.0%
422853.674900698 1
50.0%
2023-12-12T19:22:16.573229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.2%
2 4
12.1%
3 4
12.1%
9 3
9.1%
4 3
9.1%
0 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
16.7%
2 4
13.3%
3 4
13.3%
9 3
10.0%
4 3
10.0%
0 3
10.0%
1 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
8 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.2%
2 4
12.1%
3 4
12.1%
9 3
9.1%
4 3
9.1%
0 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.2%
2 4
12.1%
3 4
12.1%
9 3
9.1%
4 3
9.1%
0 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 29
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:16.732143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236926.871518028 422823.432986283
ValueCountFrequency (%)
236926.871518028 1
50.0%
422823.432986283 1
50.0%
2023-12-12T19:22:16.999771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
8 6
18.2%
3 4
12.1%
6 3
 
9.1%
9 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
7 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
8 6
20.0%
3 4
13.3%
6 3
 
10.0%
9 2
 
6.7%
1 2
 
6.7%
4 2
 
6.7%
7 1
 
3.3%
5 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
8 6
18.2%
3 4
12.1%
6 3
 
9.1%
9 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
7 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
8 6
18.2%
3 4
12.1%
6 3
 
9.1%
9 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
7 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 30
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:17.192802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236925.2487543 422813.748565899
ValueCountFrequency (%)
236925.2487543 1
50.0%
422813.748565899 1
50.0%
2023-12-12T19:22:17.481751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
16.1%
5 4
12.9%
4 4
12.9%
8 4
12.9%
3 3
9.7%
9 3
9.7%
6 2
 
6.5%
. 2
 
6.5%
7 2
 
6.5%
1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
90.3%
Other Punctuation 2
 
6.5%
Space Separator 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.9%
5 4
14.3%
4 4
14.3%
8 4
14.3%
3 3
10.7%
9 3
10.7%
6 2
 
7.1%
7 2
 
7.1%
1 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
16.1%
5 4
12.9%
4 4
12.9%
8 4
12.9%
3 3
9.7%
9 3
9.7%
6 2
 
6.5%
. 2
 
6.5%
7 2
 
6.5%
1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
16.1%
5 4
12.9%
4 4
12.9%
8 4
12.9%
3 3
9.7%
9 3
9.7%
6 2
 
6.5%
. 2
 
6.5%
7 2
 
6.5%
1
 
3.2%

Unnamed: 31
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:17.609220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236919.159588967 422779.057643814
ValueCountFrequency (%)
236919.159588967 1
50.0%
422779.057643814 1
50.0%
2023-12-12T19:22:17.841578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
15.2%
7 4
12.1%
2 3
9.1%
6 3
9.1%
1 3
9.1%
5 3
9.1%
8 3
9.1%
4 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
16.7%
7 4
13.3%
2 3
10.0%
6 3
10.0%
1 3
10.0%
5 3
10.0%
8 3
10.0%
4 3
10.0%
3 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.2%
7 4
12.1%
2 3
9.1%
6 3
9.1%
1 3
9.1%
5 3
9.1%
8 3
9.1%
4 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
15.2%
7 4
12.1%
2 3
9.1%
6 3
9.1%
1 3
9.1%
5 3
9.1%
8 3
9.1%
4 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 32
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:17.970694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236919.158032278 422779.049201397
ValueCountFrequency (%)
236919.158032278 1
50.0%
422779.049201397 1
50.0%
2023-12-12T19:22:18.193526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
9 5
15.2%
7 4
12.1%
3 3
9.1%
1 3
9.1%
0 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
9 5
16.7%
7 4
13.3%
3 3
10.0%
1 3
10.0%
0 3
10.0%
8 2
 
6.7%
4 2
 
6.7%
6 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
9 5
15.2%
7 4
12.1%
3 3
9.1%
1 3
9.1%
0 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
9 5
15.2%
7 4
12.1%
3 3
9.1%
1 3
9.1%
0 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 33
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:18.332028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236914.923576358 422757.14083693
ValueCountFrequency (%)
236914.923576358 1
50.0%
422757.14083693 1
50.0%
2023-12-12T19:22:18.562557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.6%
2 4
12.5%
6 3
9.4%
9 3
9.4%
4 3
9.4%
5 3
9.4%
7 3
9.4%
1 2
 
6.2%
. 2
 
6.2%
8 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
17.2%
2 4
13.8%
6 3
10.3%
9 3
10.3%
4 3
10.3%
5 3
10.3%
7 3
10.3%
1 2
 
6.9%
8 2
 
6.9%
0 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.6%
2 4
12.5%
6 3
9.4%
9 3
9.4%
4 3
9.4%
5 3
9.4%
7 3
9.4%
1 2
 
6.2%
. 2
 
6.2%
8 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.6%
2 4
12.5%
6 3
9.4%
9 3
9.4%
4 3
9.4%
5 3
9.4%
7 3
9.4%
1 2
 
6.2%
. 2
 
6.2%
8 2
 
6.2%
Other values (2) 2
 
6.2%

Unnamed: 34
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:18.704129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236914.508935373 422754.857679796
ValueCountFrequency (%)
236914.508935373 1
50.0%
422754.857679796 1
50.0%
2023-12-12T19:22:18.940160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
3 4
12.1%
9 4
12.1%
5 4
12.1%
2 3
9.1%
6 3
9.1%
4 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
3 4
13.3%
9 4
13.3%
5 4
13.3%
2 3
10.0%
6 3
10.0%
4 3
10.0%
8 2
 
6.7%
1 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
3 4
12.1%
9 4
12.1%
5 4
12.1%
2 3
9.1%
6 3
9.1%
4 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
3 4
12.1%
9 4
12.1%
5 4
12.1%
2 3
9.1%
6 3
9.1%
4 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 35
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:19.072216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236914.507104106 422754.848125814
ValueCountFrequency (%)
236914.507104106 1
50.0%
422754.848125814 1
50.0%
2023-12-12T19:22:19.327102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
5 3
9.1%
0 3
9.1%
8 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
1 5
16.7%
2 4
13.3%
5 3
10.0%
0 3
10.0%
8 3
10.0%
6 2
 
6.7%
7 2
 
6.7%
3 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
5 3
9.1%
0 3
9.1%
8 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
5 3
9.1%
0 3
9.1%
8 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 36
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:19.474571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236912.246511185 422743.644883504
ValueCountFrequency (%)
236912.246511185 1
50.0%
422743.644883504 1
50.0%
2023-12-12T19:22:19.726243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
1 4
12.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
8 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
2 5
16.7%
1 4
13.3%
3 3
10.0%
6 3
10.0%
5 3
10.0%
8 3
10.0%
9 1
 
3.3%
7 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
1 4
12.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
8 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
1 4
12.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
8 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 37
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:19.869129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236910.814604945 422735.394634308
ValueCountFrequency (%)
236910.814604945 1
50.0%
422735.394634308 1
50.0%
2023-12-12T19:22:20.132658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
3 5
15.2%
2 3
9.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
3 5
16.7%
2 3
10.0%
6 3
10.0%
9 3
10.0%
0 3
10.0%
1 2
 
6.7%
8 2
 
6.7%
5 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
3 5
15.2%
2 3
9.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
3 5
15.2%
2 3
9.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 38
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:20.280332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236910.801646934 422735.339033875
ValueCountFrequency (%)
236910.801646934 1
50.0%
422735.339033875 1
50.0%
2023-12-12T19:22:20.984218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
21.2%
2 3
9.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
4 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
23.3%
2 3
10.0%
6 3
10.0%
9 3
10.0%
0 3
10.0%
4 3
10.0%
1 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
21.2%
2 3
9.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
4 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
21.2%
2 3
9.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
4 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 39
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:21.144525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236910.782435244 422735.285273023
ValueCountFrequency (%)
236910.782435244 1
50.0%
422735.285273023 1
50.0%
2023-12-12T19:22:21.438889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
3 5
15.2%
4 4
12.1%
7 3
 
9.1%
5 3
 
9.1%
0 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
3 5
16.7%
4 4
13.3%
7 3
 
10.0%
5 3
 
10.0%
0 2
 
6.7%
8 2
 
6.7%
6 1
 
3.3%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
3 5
15.2%
4 4
12.1%
7 3
 
9.1%
5 3
 
9.1%
0 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
3 5
15.2%
4 4
12.1%
7 3
 
9.1%
5 3
 
9.1%
0 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 40
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:21.598309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236910.736807893 422735.177454392
ValueCountFrequency (%)
236910.736807893 1
50.0%
422735.177454392 1
50.0%
2023-12-12T19:22:21.898399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
7 5
15.2%
2 4
12.1%
9 3
9.1%
4 3
9.1%
6 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
7 5
16.7%
2 4
13.3%
9 3
10.0%
4 3
10.0%
6 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
8 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
7 5
15.2%
2 4
12.1%
9 3
9.1%
4 3
9.1%
6 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
7 5
15.2%
2 4
12.1%
9 3
9.1%
4 3
9.1%
6 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 41
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:22.069153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236908.854208543 422725.48175353
ValueCountFrequency (%)
236908.854208543 1
50.0%
422725.48175353 1
50.0%
2023-12-12T19:22:22.363469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
3 4
12.5%
8 4
12.5%
4 4
12.5%
0 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
6 1
 
3.1%
9 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
5 5
17.2%
3 4
13.8%
8 4
13.8%
4 4
13.8%
0 2
 
6.9%
7 2
 
6.9%
6 1
 
3.4%
9 1
 
3.4%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
3 4
12.5%
8 4
12.5%
4 4
12.5%
0 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
6 1
 
3.1%
9 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
3 4
12.5%
8 4
12.5%
4 4
12.5%
0 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
6 1
 
3.1%
9 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 42
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:22.529563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236903.326596186 422695.775812133
ValueCountFrequency (%)
236903.326596186 1
50.0%
422695.775812133 1
50.0%
2023-12-12T19:22:22.856725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
6 5
15.2%
9 3
9.1%
5 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
3 5
16.7%
6 5
16.7%
9 3
10.0%
5 3
10.0%
1 3
10.0%
8 2
 
6.7%
7 2
 
6.7%
0 1
 
3.3%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
6 5
15.2%
9 3
9.1%
5 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
6 5
15.2%
9 3
9.1%
5 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 43
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:23.071580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236899.594496056 422672.987440375
ValueCountFrequency (%)
236899.594496056 1
50.0%
422672.987440375 1
50.0%
2023-12-12T19:22:23.369824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
15.2%
4 5
15.2%
2 4
12.1%
6 4
12.1%
5 3
9.1%
7 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
16.7%
4 5
16.7%
2 4
13.3%
6 4
13.3%
5 3
10.0%
7 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.2%
4 5
15.2%
2 4
12.1%
6 4
12.1%
5 3
9.1%
7 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
15.2%
4 5
15.2%
2 4
12.1%
6 4
12.1%
5 3
9.1%
7 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%

Unnamed: 44
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:23.550997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236898.507267212 422666.314475814
ValueCountFrequency (%)
236898.507267212 1
50.0%
422666.314475814 1
50.0%
2023-12-12T19:22:23.876493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
4 4
12.1%
8 3
9.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
4 4
13.3%
8 3
10.0%
7 3
10.0%
1 3
10.0%
3 2
 
6.7%
5 2
 
6.7%
9 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
4 4
12.1%
8 3
9.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
4 4
12.1%
8 3
9.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 45
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:24.072421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236896.532729694 422652.847606951
ValueCountFrequency (%)
236896.532729694 1
50.0%
422652.847606951 1
50.0%
2023-12-12T19:22:24.407717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 6
18.2%
9 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 6
20.0%
9 4
13.3%
5 3
10.0%
4 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
0 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 6
18.2%
9 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 6
18.2%
9 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 46
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:24.634058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236896.531018569 422652.83676682
ValueCountFrequency (%)
236896.531018569 1
50.0%
422652.83676682 1
50.0%
2023-12-12T19:22:24.985166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
21.9%
2 5
15.6%
8 4
12.5%
3 3
9.4%
5 3
9.4%
9 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
0 1
 
3.1%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
24.1%
2 5
17.2%
8 4
13.8%
3 3
10.3%
5 3
10.3%
9 2
 
6.9%
1 2
 
6.9%
0 1
 
3.4%
4 1
 
3.4%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
21.9%
2 5
15.6%
8 4
12.5%
3 3
9.4%
5 3
9.4%
9 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
0 1
 
3.1%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
21.9%
2 5
15.6%
8 4
12.5%
3 3
9.4%
5 3
9.4%
9 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
0 1
 
3.1%
1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 47
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:25.180139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236889.746561042 422612.720335456
ValueCountFrequency (%)
236889.746561042 1
50.0%
422612.720335456 1
50.0%
2023-12-12T19:22:25.522014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
4 4
12.1%
3 3
9.1%
5 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
4 4
13.3%
3 3
10.0%
5 3
10.0%
8 2
 
6.7%
7 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
4 4
12.1%
3 3
9.1%
5 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
4 4
12.1%
3 3
9.1%
5 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 48
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:25.730338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236883.823200356 422579.572154112
ValueCountFrequency (%)
236883.823200356 1
50.0%
422579.572154112 1
50.0%
2023-12-12T19:22:26.119587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
5 4
12.1%
8 3
9.1%
1 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
3 4
13.3%
5 4
13.3%
8 3
10.0%
1 3
10.0%
6 2
 
6.7%
0 2
 
6.7%
4 2
 
6.7%
7 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
5 4
12.1%
8 3
9.1%
1 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
5 4
12.1%
8 3
9.1%
1 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 49
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:26.284056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236883.821044351 422579.560842544
ValueCountFrequency (%)
236883.821044351 1
50.0%
422579.560842544 1
50.0%
2023-12-12T19:22:26.615279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
8 4
12.1%
5 4
12.1%
3 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
2 5
16.7%
8 4
13.3%
5 4
13.3%
3 3
10.0%
6 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
7 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
8 4
12.1%
5 4
12.1%
3 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
8 4
12.1%
5 4
12.1%
3 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 50
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:26.822397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236880.321962285 422562.286765461
ValueCountFrequency (%)
236880.321962285 1
50.0%
422562.286765461 1
50.0%
2023-12-12T19:22:27.195471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
6 6
18.2%
8 4
12.1%
5 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
0 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
6 6
20.0%
8 4
13.3%
5 3
 
10.0%
3 2
 
6.7%
1 2
 
6.7%
4 2
 
6.7%
0 1
 
3.3%
9 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
6 6
18.2%
8 4
12.1%
5 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
0 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
6 6
18.2%
8 4
12.1%
5 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
0 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 51
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:27.386646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236874.293083045 422533.105001383
ValueCountFrequency (%)
236874.293083045 1
50.0%
422533.105001383 1
50.0%
2023-12-12T19:22:27.762438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
21.2%
0 5
15.2%
2 4
12.1%
8 3
9.1%
4 3
9.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
6 1
 
3.0%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
23.3%
0 5
16.7%
2 4
13.3%
8 3
10.0%
4 3
10.0%
5 3
10.0%
1 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
21.2%
0 5
15.2%
2 4
12.1%
8 3
9.1%
4 3
9.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
6 1
 
3.0%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
21.2%
0 5
15.2%
2 4
12.1%
8 3
9.1%
4 3
9.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
6 1
 
3.0%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 52
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:27.948512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236872.214482962 422522.584048974
ValueCountFrequency (%)
236872.214482962 1
50.0%
422522.584048974 1
50.0%
2023-12-12T19:22:28.340571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
27.3%
4 6
18.2%
8 4
12.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
3 1
 
3.0%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
30.0%
4 6
20.0%
8 4
13.3%
6 2
 
6.7%
7 2
 
6.7%
9 2
 
6.7%
5 2
 
6.7%
3 1
 
3.3%
1 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
27.3%
4 6
18.2%
8 4
12.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
3 1
 
3.0%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
27.3%
4 6
18.2%
8 4
12.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
3 1
 
3.0%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 53
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:28.505017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236872.213241987 422522.577966521
ValueCountFrequency (%)
236872.213241987 1
50.0%
422522.577966521 1
50.0%
2023-12-12T19:22:28.832191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
27.3%
7 4
12.1%
6 3
 
9.1%
1 3
 
9.1%
5 3
 
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
30.0%
7 4
13.3%
6 3
 
10.0%
1 3
 
10.0%
5 3
 
10.0%
3 2
 
6.7%
8 2
 
6.7%
4 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
27.3%
7 4
12.1%
6 3
 
9.1%
1 3
 
9.1%
5 3
 
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
27.3%
7 4
12.1%
6 3
 
9.1%
1 3
 
9.1%
5 3
 
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%

Unnamed: 54
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:29.008331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236869.181928144 422508.177471474
ValueCountFrequency (%)
236869.181928144 1
50.0%
422508.177471474 1
50.0%
2023-12-12T19:22:29.297636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
8 4
12.1%
7 4
12.1%
6 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
1 5
16.7%
2 4
13.3%
8 4
13.3%
7 4
13.3%
6 2
 
6.7%
9 2
 
6.7%
3 1
 
3.3%
5 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
8 4
12.1%
7 4
12.1%
6 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
8 4
12.1%
7 4
12.1%
6 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 55
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:29.469127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236867.183568788 422498.987232233
ValueCountFrequency (%)
236867.183568788 1
50.0%
422498.987232233 1
50.0%
2023-12-12T19:22:29.759154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 7
21.2%
2 6
18.2%
3 5
15.2%
6 3
9.1%
7 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%
1 1
 
3.0%
5 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 7
23.3%
2 6
20.0%
3 5
16.7%
6 3
10.0%
7 3
10.0%
4 2
 
6.7%
9 2
 
6.7%
1 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 7
21.2%
2 6
18.2%
3 5
15.2%
6 3
9.1%
7 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%
1 1
 
3.0%
5 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 7
21.2%
2 6
18.2%
3 5
15.2%
6 3
9.1%
7 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%
1 1
 
3.0%
5 1
 
3.0%

Unnamed: 56
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:29.913176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236866.19433191 422494.484850125
ValueCountFrequency (%)
236866.19433191 1
50.0%
422494.484850125 1
50.0%
2023-12-12T19:22:30.166641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.8%
2 4
12.5%
1 4
12.5%
3 3
9.4%
6 3
9.4%
8 3
9.4%
9 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.7%
2 4
13.8%
1 4
13.8%
3 3
10.3%
6 3
10.3%
8 3
10.3%
9 3
10.3%
5 2
 
6.9%
0 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.8%
2 4
12.5%
1 4
12.5%
3 3
9.4%
6 3
9.4%
8 3
9.4%
9 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.8%
2 4
12.5%
1 4
12.5%
3 3
9.4%
6 3
9.4%
8 3
9.4%
9 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
1
 
3.1%

Unnamed: 57
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:30.321184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236866.190271992 422494.467802962
ValueCountFrequency (%)
236866.190271992 1
50.0%
422494.467802962 1
50.0%
2023-12-12T19:22:30.633944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
9 5
15.2%
4 4
12.1%
8 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
6 5
16.7%
9 5
16.7%
4 4
13.3%
8 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
7 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
9 5
15.2%
4 4
12.1%
8 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
9 5
15.2%
4 4
12.1%
8 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%

Unnamed: 58
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:30.804966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236866.175654272 422494.420664768
ValueCountFrequency (%)
236866.175654272 1
50.0%
422494.420664768 1
50.0%
2023-12-12T19:22:31.110861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
21.2%
2 6
18.2%
4 6
18.2%
7 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
3 1
 
3.0%
1 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
23.3%
2 6
20.0%
4 6
20.0%
7 3
10.0%
8 2
 
6.7%
5 2
 
6.7%
3 1
 
3.3%
1 1
 
3.3%
9 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
21.2%
2 6
18.2%
4 6
18.2%
7 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
3 1
 
3.0%
1 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
21.2%
2 6
18.2%
4 6
18.2%
7 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
3 1
 
3.0%
1 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 59
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:31.252783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236865.319082938 422492.07463441
ValueCountFrequency (%)
236865.319082938 1
50.0%
422492.07463441 1
50.0%
2023-12-12T19:22:31.514958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
4 5
15.6%
3 4
12.5%
6 3
9.4%
8 3
9.4%
9 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
0 2
 
6.2%
5 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
4 5
17.2%
3 4
13.8%
6 3
10.3%
8 3
10.3%
9 3
10.3%
1 2
 
6.9%
0 2
 
6.9%
5 1
 
3.4%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
4 5
15.6%
3 4
12.5%
6 3
9.4%
8 3
9.4%
9 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
0 2
 
6.2%
5 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
4 5
15.6%
3 4
12.5%
6 3
9.4%
8 3
9.4%
9 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
0 2
 
6.2%
5 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 60
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:31.691246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236863.408506845 422486.976726452
ValueCountFrequency (%)
236863.408506845 1
50.0%
422486.976726452 1
50.0%
2023-12-12T19:22:31.987133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6
18.2%
2 5
15.2%
4 5
15.2%
8 4
12.1%
5 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
20.0%
2 5
16.7%
4 5
16.7%
8 4
13.3%
5 3
10.0%
3 2
 
6.7%
0 2
 
6.7%
7 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6
18.2%
2 5
15.2%
4 5
15.2%
8 4
12.1%
5 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6
18.2%
2 5
15.2%
4 5
15.2%
8 4
12.1%
5 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Unnamed: 61
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:32.145307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236857.90831393 422471.673988961
ValueCountFrequency (%)
236857.90831393 1
50.0%
422471.673988961 1
50.0%
2023-12-12T19:22:32.424960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.6%
8 4
12.5%
9 4
12.5%
2 3
9.4%
6 3
9.4%
7 3
9.4%
1 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
5 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
17.2%
8 4
13.8%
9 4
13.8%
2 3
10.3%
6 3
10.3%
7 3
10.3%
1 3
10.3%
4 2
 
6.9%
5 1
 
3.4%
0 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.6%
8 4
12.5%
9 4
12.5%
2 3
9.4%
6 3
9.4%
7 3
9.4%
1 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
5 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.6%
8 4
12.5%
9 4
12.5%
2 3
9.4%
6 3
9.4%
7 3
9.4%
1 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
5 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 62
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:32.587768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236855.08506147 422462.183037408
ValueCountFrequency (%)
236855.08506147 1
50.0%
422462.183037408 1
50.0%
2023-12-12T19:22:32.894847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.5%
8 4
12.5%
0 4
12.5%
4 4
12.5%
3 3
9.4%
6 3
9.4%
5 3
9.4%
. 2
6.2%
1 2
6.2%
7 2
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.8%
8 4
13.8%
0 4
13.8%
4 4
13.8%
3 3
10.3%
6 3
10.3%
5 3
10.3%
1 2
6.9%
7 2
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.5%
8 4
12.5%
0 4
12.5%
4 4
12.5%
3 3
9.4%
6 3
9.4%
5 3
9.4%
. 2
6.2%
1 2
6.2%
7 2
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.5%
8 4
12.5%
0 4
12.5%
4 4
12.5%
3 3
9.4%
6 3
9.4%
5 3
9.4%
. 2
6.2%
1 2
6.2%
7 2
6.2%

Unnamed: 63
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:33.087134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236848.094112259 422437.725760493
ValueCountFrequency (%)
236848.094112259 1
50.0%
422437.725760493 1
50.0%
2023-12-12T19:22:33.406041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
4 5
15.2%
3 3
9.1%
9 3
9.1%
7 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
4 5
16.7%
3 3
10.0%
9 3
10.0%
7 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
1 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
4 5
15.2%
3 3
9.1%
9 3
9.1%
7 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
4 5
15.2%
3 3
9.1%
9 3
9.1%
7 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 64
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:33.589702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236844.529609127 422425.047764184
ValueCountFrequency (%)
236844.529609127 1
50.0%
422425.047764184 1
50.0%
2023-12-12T19:22:33.997532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
6 3
9.1%
7 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7
23.3%
2 6
20.0%
6 3
10.0%
7 3
10.0%
8 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
0 2
 
6.7%
1 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
6 3
9.1%
7 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
6 3
9.1%
7 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 65
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:34.234262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236837.194643627 422398.512543811
ValueCountFrequency (%)
236837.194643627 1
50.0%
422398.512543811 1
50.0%
2023-12-12T19:22:34.665070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
1 4
12.1%
4 4
12.1%
6 3
9.1%
8 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
3 5
16.7%
1 4
13.3%
4 4
13.3%
6 3
10.0%
8 3
10.0%
7 2
 
6.7%
9 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
1 4
12.1%
4 4
12.1%
6 3
9.1%
8 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
1 4
12.1%
4 4
12.1%
6 3
9.1%
8 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%

Unnamed: 66
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:34.866081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236833.203637808 422381.423491694
ValueCountFrequency (%)
236833.203637808 1
50.0%
422381.423491694 1
50.0%
2023-12-12T19:22:35.252627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
21.2%
2 5
15.2%
8 4
12.1%
4 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
23.3%
2 5
16.7%
8 4
13.3%
4 4
13.3%
6 3
10.0%
0 2
 
6.7%
1 2
 
6.7%
9 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
21.2%
2 5
15.2%
8 4
12.1%
4 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
21.2%
2 5
15.2%
8 4
12.1%
4 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%

Unnamed: 67
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:35.459486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236831.370960196 422372.381991613
ValueCountFrequency (%)
236831.370960196 1
50.0%
422372.381991613 1
50.0%
2023-12-12T19:22:35.765075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
1 5
15.2%
2 4
12.1%
6 4
12.1%
9 4
12.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
1 5
16.7%
2 4
13.3%
6 4
13.3%
9 4
13.3%
8 2
 
6.7%
7 2
 
6.7%
0 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
1 5
15.2%
2 4
12.1%
6 4
12.1%
9 4
12.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
1 5
15.2%
2 4
12.1%
6 4
12.1%
9 4
12.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Unnamed: 68
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:35.933387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236830.512768593 422365.341043806
ValueCountFrequency (%)
236830.512768593 1
50.0%
422365.341043806 1
50.0%
2023-12-12T19:22:36.219376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
2 4
12.1%
6 4
12.1%
8 3
9.1%
0 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
2 4
13.3%
6 4
13.3%
8 3
10.0%
0 3
10.0%
5 3
10.0%
4 3
10.0%
1 2
 
6.7%
7 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
2 4
12.1%
6 4
12.1%
8 3
9.1%
0 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
2 4
12.1%
6 4
12.1%
8 3
9.1%
0 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 69
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:36.383448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236829.838400015 422356.404533127
ValueCountFrequency (%)
236829.838400015 1
50.0%
422356.404533127 1
50.0%
2023-12-12T19:22:36.649543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
4 4
12.1%
0 4
12.1%
8 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
3 5
16.7%
4 4
13.3%
0 4
13.3%
8 3
10.0%
5 3
10.0%
6 2
 
6.7%
1 2
 
6.7%
9 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
4 4
12.1%
0 4
12.1%
8 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
4 4
12.1%
0 4
12.1%
8 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 70
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:36.840565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236829.1438416 422338.387564389
ValueCountFrequency (%)
236829.1438416 1
50.0%
422338.387564389 1
50.0%
2023-12-12T19:22:37.192497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
19.4%
8 5
16.1%
2 4
12.9%
4 4
12.9%
6 3
9.7%
9 2
 
6.5%
. 2
 
6.5%
1 2
 
6.5%
1
 
3.2%
7 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
90.3%
Other Punctuation 2
 
6.5%
Space Separator 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
21.4%
8 5
17.9%
2 4
14.3%
4 4
14.3%
6 3
10.7%
9 2
 
7.1%
1 2
 
7.1%
7 1
 
3.6%
5 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
19.4%
8 5
16.1%
2 4
12.9%
4 4
12.9%
6 3
9.7%
9 2
 
6.5%
. 2
 
6.5%
1 2
 
6.5%
1
 
3.2%
7 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
19.4%
8 5
16.1%
2 4
12.9%
4 4
12.9%
6 3
9.7%
9 2
 
6.5%
. 2
 
6.5%
1 2
 
6.5%
1
 
3.2%
7 1
 
3.2%

Unnamed: 71
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:37.412917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236828.119735824 422305.802250706
ValueCountFrequency (%)
236828.119735824 1
50.0%
422305.802250706 1
50.0%
2023-12-12T19:22:37.753654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
8 4
12.1%
0 4
12.1%
3 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
8 4
13.3%
0 4
13.3%
3 3
10.0%
5 3
10.0%
6 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
8 4
12.1%
0 4
12.1%
3 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
8 4
12.1%
0 4
12.1%
3 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 72
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:37.918837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236828.119380524 422305.793427732
ValueCountFrequency (%)
236828.119380524 1
50.0%
422305.793427732 1
50.0%
2023-12-12T19:22:38.266792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
3 5
15.2%
8 3
9.1%
4 3
9.1%
7 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
3 5
16.7%
8 3
10.0%
4 3
10.0%
7 3
10.0%
1 2
 
6.7%
9 2
 
6.7%
0 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
3 5
15.2%
8 3
9.1%
4 3
9.1%
7 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
3 5
15.2%
8 3
9.1%
4 3
9.1%
7 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 73
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:38.471202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236827.277337952 422288.650184697
ValueCountFrequency (%)
236827.277337952 1
50.0%
422288.650184697 1
50.0%
2023-12-12T19:22:38.828879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
7 5
15.2%
8 4
12.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
7 5
16.7%
8 4
13.3%
3 3
10.0%
6 3
10.0%
9 2
 
6.7%
5 2
 
6.7%
4 2
 
6.7%
0 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
7 5
15.2%
8 4
12.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
7 5
15.2%
8 4
12.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 74
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:39.005284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236826.942244577 422282.004706934
ValueCountFrequency (%)
236826.942244577 1
50.0%
422282.004706934 1
50.0%
2023-12-12T19:22:39.333061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
4 6
18.2%
6 3
 
9.1%
7 3
 
9.1%
0 3
 
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
4 6
20.0%
6 3
 
10.0%
7 3
 
10.0%
0 3
 
10.0%
3 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
4 6
18.2%
6 3
 
9.1%
7 3
 
9.1%
0 3
 
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
4 6
18.2%
6 3
 
9.1%
7 3
 
9.1%
0 3
 
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 1
 
3.0%

Unnamed: 75
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:39.500187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236825.524786084 422258.032798942
ValueCountFrequency (%)
236825.524786084 1
50.0%
422258.032798942 1
50.0%
2023-12-12T19:22:39.776487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
8 5
15.2%
4 4
12.1%
5 3
 
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
8 5
16.7%
4 4
13.3%
5 3
 
10.0%
3 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
0 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
8 5
15.2%
4 4
12.1%
5 3
 
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
8 5
15.2%
4 4
12.1%
5 3
 
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%

Unnamed: 76
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:39.977565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236825.361298398 422250.545069631
ValueCountFrequency (%)
236825.361298398 1
50.0%
422250.545069631 1
50.0%
2023-12-12T19:22:40.262859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
6 4
12.1%
5 4
12.1%
8 3
9.1%
9 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
3 4
13.3%
6 4
13.3%
5 4
13.3%
8 3
10.0%
9 3
10.0%
1 2
 
6.7%
4 2
 
6.7%
0 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
6 4
12.1%
5 4
12.1%
8 3
9.1%
9 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
6 4
12.1%
5 4
12.1%
8 3
9.1%
9 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%

Unnamed: 77
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:40.437082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236825.861691997 422235.621542149
ValueCountFrequency (%)
236825.861691997 1
50.0%
422235.621542149 1
50.0%
2023-12-12T19:22:40.741604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
6 4
12.1%
1 4
12.1%
9 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
6 4
13.3%
1 4
13.3%
9 4
13.3%
5 3
10.0%
4 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
6 4
12.1%
1 4
12.1%
9 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
6 4
12.1%
1 4
12.1%
9 4
12.1%
5 3
9.1%
4 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 1
 
3.0%

Unnamed: 78
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:41.343442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236826.714655653 422216.321130149
ValueCountFrequency (%)
236826.714655653 1
50.0%
422216.321130149 1
50.0%
2023-12-12T19:22:41.727398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
1 5
15.2%
3 4
12.1%
4 3
9.1%
5 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
7 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
1 5
16.7%
3 4
13.3%
4 3
10.0%
5 3
10.0%
8 1
 
3.3%
7 1
 
3.3%
0 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
1 5
15.2%
3 4
12.1%
4 3
9.1%
5 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
7 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
1 5
15.2%
3 4
12.1%
4 3
9.1%
5 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
7 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 79
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:41.932819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236826.714956698 422216.312710519
ValueCountFrequency (%)
236826.714956698 1
50.0%
422216.312710519 1
50.0%
2023-12-12T19:22:42.333796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
1 5
15.2%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
1 5
16.7%
9 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
5 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
1 5
15.2%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
1 5
15.2%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 80
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:42.579813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236827.072927477 422203.210738696
ValueCountFrequency (%)
236827.072927477 1
50.0%
422203.210738696 1
50.0%
2023-12-12T19:22:42.926691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
7 6
18.2%
3 3
 
9.1%
6 3
 
9.1%
0 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
7 6
20.0%
3 3
 
10.0%
6 3
 
10.0%
0 3
 
10.0%
8 2
 
6.7%
9 2
 
6.7%
4 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
7 6
18.2%
3 3
 
9.1%
6 3
 
9.1%
0 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
7 6
18.2%
3 3
 
9.1%
6 3
 
9.1%
0 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Unnamed: 81
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:43.129091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236827.073113992 422203.197082844
ValueCountFrequency (%)
236827.073113992 1
50.0%
422203.197082844 1
50.0%
2023-12-12T19:22:43.485081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
8 3
9.1%
7 3
9.1%
0 3
9.1%
1 3
9.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
6 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
3 4
13.3%
8 3
10.0%
7 3
10.0%
0 3
10.0%
1 3
10.0%
9 3
10.0%
4 3
10.0%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
8 3
9.1%
7 3
9.1%
0 3
9.1%
1 3
9.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
6 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
8 3
9.1%
7 3
9.1%
0 3
9.1%
1 3
9.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
6 1
 
3.0%

Unnamed: 82
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:43.680191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236827.073042523 422203.188629145
ValueCountFrequency (%)
236827.073042523 1
50.0%
422203.188629145 1
50.0%
2023-12-12T19:22:44.043290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
3 4
12.1%
8 3
 
9.1%
0 3
 
9.1%
4 3
 
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
3 4
13.3%
8 3
 
10.0%
0 3
 
10.0%
4 3
 
10.0%
6 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
3 4
12.1%
8 3
 
9.1%
0 3
 
9.1%
4 3
 
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
3 4
12.1%
8 3
 
9.1%
0 3
 
9.1%
4 3
 
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 83
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:44.208657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236827.065077266 422202.717585692
ValueCountFrequency (%)
236827.065077266 1
50.0%
422202.717585692 1
50.0%
2023-12-12T19:22:44.524219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
6 5
15.2%
7 5
15.2%
0 3
 
9.1%
5 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%
4 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
6 5
16.7%
7 5
16.7%
0 3
 
10.0%
5 3
 
10.0%
8 2
 
6.7%
3 1
 
3.3%
4 1
 
3.3%
1 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
6 5
15.2%
7 5
15.2%
0 3
 
9.1%
5 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%
4 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
6 5
15.2%
7 5
15.2%
0 3
 
9.1%
5 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%
4 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 84
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:44.686889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236827.064639642 422202.703482045
ValueCountFrequency (%)
236827.064639642 1
50.0%
422202.703482045 1
50.0%
2023-12-12T19:22:44.954556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
4 5
15.2%
6 4
12.1%
0 4
12.1%
3 3
 
9.1%
8 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
4 5
16.7%
6 4
13.3%
0 4
13.3%
3 3
 
10.0%
8 2
 
6.7%
7 2
 
6.7%
9 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
4 5
15.2%
6 4
12.1%
0 4
12.1%
3 3
 
9.1%
8 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
4 5
15.2%
6 4
12.1%
0 4
12.1%
3 3
 
9.1%
8 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Unnamed: 85
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:45.124888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236826.353447486 422186.955440175
ValueCountFrequency (%)
236826.353447486 1
50.0%
422186.955440175 1
50.0%
2023-12-12T19:22:45.395153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
2 4
12.1%
6 4
12.1%
5 4
12.1%
3 3
9.1%
8 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
2 4
13.3%
6 4
13.3%
5 4
13.3%
3 3
10.0%
8 3
10.0%
7 2
 
6.7%
1 2
 
6.7%
9 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
2 4
12.1%
6 4
12.1%
5 4
12.1%
3 3
9.1%
8 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
2 4
12.1%
6 4
12.1%
5 4
12.1%
3 3
9.1%
8 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 86
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:45.541753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236826.351758905 422186.931169707
ValueCountFrequency (%)
236826.351758905 1
50.0%
422186.931169707 1
50.0%
2023-12-12T19:22:45.800028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.1%
6 4
12.1%
1 4
12.1%
3 3
9.1%
8 3
9.1%
5 3
9.1%
7 3
9.1%
9 3
9.1%
. 2
6.1%
0 2
6.1%
Other values (2) 2
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.3%
6 4
13.3%
1 4
13.3%
3 3
10.0%
8 3
10.0%
5 3
10.0%
7 3
10.0%
9 3
10.0%
0 2
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.1%
6 4
12.1%
1 4
12.1%
3 3
9.1%
8 3
9.1%
5 3
9.1%
7 3
9.1%
9 3
9.1%
. 2
6.1%
0 2
6.1%
Other values (2) 2
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.1%
6 4
12.1%
1 4
12.1%
3 3
9.1%
8 3
9.1%
5 3
9.1%
7 3
9.1%
9 3
9.1%
. 2
6.1%
0 2
6.1%
Other values (2) 2
6.1%

Unnamed: 87
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:45.960591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236825.653860543 422179.512172343
ValueCountFrequency (%)
236825.653860543 1
50.0%
422179.512172343 1
50.0%
2023-12-12T19:22:46.260694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
3 5
15.2%
5 4
12.1%
6 3
9.1%
4 3
9.1%
1 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
3 5
16.7%
5 4
13.3%
6 3
10.0%
4 3
10.0%
1 3
10.0%
8 2
 
6.7%
7 2
 
6.7%
0 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
3 5
15.2%
5 4
12.1%
6 3
9.1%
4 3
9.1%
1 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
3 5
15.2%
5 4
12.1%
6 3
9.1%
4 3
9.1%
1 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 88
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:46.418853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236825.652115566 422179.496333543
ValueCountFrequency (%)
236825.652115566 1
50.0%
422179.496333543 1
50.0%
2023-12-12T19:22:46.727752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
6 5
15.2%
5 5
15.2%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
3 5
16.7%
6 5
16.7%
5 5
16.7%
1 3
10.0%
4 3
10.0%
9 2
 
6.7%
8 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
6 5
15.2%
5 5
15.2%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
6 5
15.2%
5 5
15.2%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Unnamed: 89
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:46.968722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236825.648510747 422179.472452468
ValueCountFrequency (%)
236825.648510747 1
50.0%
422179.472452468 1
50.0%
2023-12-12T19:22:47.254952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
4 6
18.2%
7 4
12.1%
6 3
9.1%
8 3
9.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
4 6
20.0%
7 4
13.3%
6 3
10.0%
8 3
10.0%
5 3
10.0%
1 2
 
6.7%
3 1
 
3.3%
0 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
4 6
18.2%
7 4
12.1%
6 3
9.1%
8 3
9.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
4 6
18.2%
7 4
12.1%
6 3
9.1%
8 3
9.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 90
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:47.457155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236824.411414088 422172.433427317
ValueCountFrequency (%)
236824.411414088 1
50.0%
422172.433427317 1
50.0%
2023-12-12T19:22:47.807216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
1 5
15.2%
3 4
12.1%
8 3
9.1%
7 3
9.1%
. 2
 
6.1%
6 1
 
3.0%
0 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7
23.3%
2 6
20.0%
1 5
16.7%
3 4
13.3%
8 3
10.0%
7 3
10.0%
6 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
1 5
15.2%
3 4
12.1%
8 3
9.1%
7 3
9.1%
. 2
 
6.1%
6 1
 
3.0%
0 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
1 5
15.2%
3 4
12.1%
8 3
9.1%
7 3
9.1%
. 2
 
6.1%
6 1
 
3.0%
0 1
 
3.0%
1
 
3.0%

Unnamed: 91
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:47.984455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236824.406140668 422172.407473851
ValueCountFrequency (%)
236824.406140668 1
50.0%
422172.407473851 1
50.0%
2023-12-12T19:22:48.369226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
6 4
12.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
2 5
16.7%
6 4
13.3%
8 3
10.0%
0 3
10.0%
1 3
10.0%
7 3
10.0%
3 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
6 4
12.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
6 4
12.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Unnamed: 92
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:48.571107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236821.63685592 422160.41526248
ValueCountFrequency (%)
236821.63685592 1
50.0%
422160.41526248 1
50.0%
2023-12-12T19:22:48.930355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
22.6%
6 5
16.1%
8 3
9.7%
1 3
9.7%
5 3
9.7%
4 3
9.7%
3 2
 
6.5%
. 2
 
6.5%
9 1
 
3.2%
1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
90.3%
Other Punctuation 2
 
6.5%
Space Separator 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
25.0%
6 5
17.9%
8 3
10.7%
1 3
10.7%
5 3
10.7%
4 3
10.7%
3 2
 
7.1%
9 1
 
3.6%
0 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
22.6%
6 5
16.1%
8 3
9.7%
1 3
9.7%
5 3
9.7%
4 3
9.7%
3 2
 
6.5%
. 2
 
6.5%
9 1
 
3.2%
1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
22.6%
6 5
16.1%
8 3
9.7%
1 3
9.7%
5 3
9.7%
4 3
9.7%
3 2
 
6.5%
. 2
 
6.5%
9 1
 
3.2%
1
 
3.2%

Unnamed: 93
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:49.116906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236821.524132031 422159.522411059
ValueCountFrequency (%)
236821.524132031 1
50.0%
422159.522411059 1
50.0%
2023-12-12T19:22:49.444433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
1 6
18.2%
5 4
12.1%
3 3
 
9.1%
4 3
 
9.1%
. 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%
6 1
 
3.0%
8 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
1 6
20.0%
5 4
13.3%
3 3
 
10.0%
4 3
 
10.0%
0 2
 
6.7%
9 2
 
6.7%
6 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
1 6
18.2%
5 4
12.1%
3 3
 
9.1%
4 3
 
9.1%
. 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%
6 1
 
3.0%
8 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
1 6
18.2%
5 4
12.1%
3 3
 
9.1%
4 3
 
9.1%
. 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%
6 1
 
3.0%
8 1
 
3.0%

Unnamed: 94
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:49.636657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236821.519544815 422159.493108982
ValueCountFrequency (%)
236821.519544815 1
50.0%
422159.493108982 1
50.0%
2023-12-12T19:22:50.000473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
8 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
3 2
 
6.1%
. 2
 
6.1%
6 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
1 5
16.7%
8 4
13.3%
5 4
13.3%
9 4
13.3%
4 4
13.3%
3 2
 
6.7%
6 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
8 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
3 2
 
6.1%
. 2
 
6.1%
6 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
8 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
3 2
 
6.1%
. 2
 
6.1%
6 1
 
3.0%
1
 
3.0%

Unnamed: 95
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:50.227630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236820.642537694 422154.805492462
ValueCountFrequency (%)
236820.642537694 1
50.0%
422154.805492462 1
50.0%
2023-12-12T19:22:50.559388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
4 6
18.2%
6 4
12.1%
5 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
4 6
20.0%
6 4
13.3%
5 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
9 2
 
6.7%
7 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
4 6
18.2%
6 4
12.1%
5 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
4 6
18.2%
6 4
12.1%
5 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 96
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:50.757569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236820.520044088 422153.560371706
ValueCountFrequency (%)
236820.520044088 1
50.0%
422153.560371706 1
50.0%
2023-12-12T19:22:51.108602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.2%
2 5
15.2%
3 3
9.1%
6 3
9.1%
8 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
2 5
16.7%
3 3
10.0%
6 3
10.0%
8 3
10.0%
5 3
10.0%
4 3
10.0%
1 2
 
6.7%
7 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.2%
2 5
15.2%
3 3
9.1%
6 3
9.1%
8 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
2 5
15.2%
3 3
9.1%
6 3
9.1%
8 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%

Unnamed: 97
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:51.281272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236820.437640726 422151.542095322
ValueCountFrequency (%)
236820.437640726 1
50.0%
422151.542095322 1
50.0%
2023-12-12T19:22:51.578416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
4 4
12.1%
3 3
 
9.1%
6 3
 
9.1%
0 3
 
9.1%
5 3
 
9.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
4 4
13.3%
3 3
 
10.0%
6 3
 
10.0%
0 3
 
10.0%
5 3
 
10.0%
7 2
 
6.7%
1 2
 
6.7%
8 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
4 4
12.1%
3 3
 
9.1%
6 3
 
9.1%
0 3
 
9.1%
5 3
 
9.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
4 4
12.1%
3 3
 
9.1%
6 3
 
9.1%
0 3
 
9.1%
5 3
 
9.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 98
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:51.753744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236819.087446296 422122.674360982
ValueCountFrequency (%)
236819.087446296 1
50.0%
422122.674360982 1
50.0%
2023-12-12T19:22:52.029212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
4 4
12.1%
8 3
9.1%
9 3
9.1%
3 2
 
6.1%
1 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
6 5
16.7%
4 4
13.3%
8 3
10.0%
9 3
10.0%
3 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
7 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
4 4
12.1%
8 3
9.1%
9 3
9.1%
3 2
 
6.1%
1 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
6 5
15.2%
4 4
12.1%
8 3
9.1%
9 3
9.1%
3 2
 
6.1%
1 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%

Unnamed: 99
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:52.193618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236817.914621826 422095.927136121
ValueCountFrequency (%)
236817.914621826 1
50.0%
422095.927136121 1
50.0%
2023-12-12T19:22:52.481997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
1 6
18.2%
6 4
12.1%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
1 6
20.0%
6 4
13.3%
9 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
0 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
1 6
18.2%
6 4
12.1%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
1 6
18.2%
6 4
12.1%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 100
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:52.664214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236817.9142919 422095.920592007
ValueCountFrequency (%)
236817.9142919 1
50.0%
422095.920592007 1
50.0%
2023-12-12T19:22:52.964579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
19.4%
9 6
19.4%
0 4
12.9%
1 3
9.7%
7 2
 
6.5%
. 2
 
6.5%
4 2
 
6.5%
5 2
 
6.5%
3 1
 
3.2%
6 1
 
3.2%
Other values (2) 2
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
90.3%
Other Punctuation 2
 
6.5%
Space Separator 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
21.4%
9 6
21.4%
0 4
14.3%
1 3
10.7%
7 2
 
7.1%
4 2
 
7.1%
5 2
 
7.1%
3 1
 
3.6%
6 1
 
3.6%
8 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
19.4%
9 6
19.4%
0 4
12.9%
1 3
9.7%
7 2
 
6.5%
. 2
 
6.5%
4 2
 
6.5%
5 2
 
6.5%
3 1
 
3.2%
6 1
 
3.2%
Other values (2) 2
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
19.4%
9 6
19.4%
0 4
12.9%
1 3
9.7%
7 2
 
6.5%
. 2
 
6.5%
4 2
 
6.5%
5 2
 
6.5%
3 1
 
3.2%
6 1
 
3.2%
Other values (2) 2
 
6.5%

Unnamed: 101
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:53.158612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236816.018157122 422062.647580892
ValueCountFrequency (%)
236816.018157122 1
50.0%
422062.647580892 1
50.0%
2023-12-12T19:22:53.449365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
6 4
12.1%
8 4
12.1%
1 4
12.1%
0 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
6 4
13.3%
8 4
13.3%
1 4
13.3%
0 3
10.0%
5 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
3 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
6 4
12.1%
8 4
12.1%
1 4
12.1%
0 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
6 4
12.1%
8 4
12.1%
1 4
12.1%
0 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 102
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:53.640340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236813.555764235 422025.04976916
ValueCountFrequency (%)
236813.555764235 1
50.0%
422025.04976916 1
50.0%
2023-12-12T19:22:54.036211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
6 4
12.5%
3 3
9.4%
4 3
9.4%
1 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
0 2
 
6.2%
9 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
5 5
17.2%
6 4
13.8%
3 3
10.3%
4 3
10.3%
1 2
 
6.9%
7 2
 
6.9%
0 2
 
6.9%
9 2
 
6.9%
8 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
6 4
12.5%
3 3
9.4%
4 3
9.4%
1 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
0 2
 
6.2%
9 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
6 4
12.5%
3 3
9.4%
4 3
9.4%
1 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
0 2
 
6.2%
9 2
 
6.2%
Other values (2) 2
 
6.2%

Unnamed: 103
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:54.240911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236812.893737131 422016.342502501
ValueCountFrequency (%)
236812.893737131 1
50.0%
422016.342502501 1
50.0%
2023-12-12T19:22:54.610137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
3 5
15.2%
1 5
15.2%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
3 5
16.7%
1 5
16.7%
0 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
5 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
3 5
15.2%
1 5
15.2%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
3 5
15.2%
1 5
15.2%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 104
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:54.847289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236812.353953655 422008.250747355
ValueCountFrequency (%)
236812.353953655 1
50.0%
422008.250747355 1
50.0%
2023-12-12T19:22:55.203419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7
21.2%
2 5
15.2%
3 5
15.2%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7
23.3%
2 5
16.7%
3 5
16.7%
0 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
4 2
 
6.7%
7 2
 
6.7%
1 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7
21.2%
2 5
15.2%
3 5
15.2%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7
21.2%
2 5
15.2%
3 5
15.2%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 105
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:55.370579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236812.353209589 422008.241022472
ValueCountFrequency (%)
236812.353209589 1
50.0%
422008.241022472 1
50.0%
2023-12-12T19:22:55.673461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
27.3%
0 4
12.1%
3 3
 
9.1%
8 3
 
9.1%
4 3
 
9.1%
1 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
30.0%
0 4
13.3%
3 3
 
10.0%
8 3
 
10.0%
4 3
 
10.0%
1 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
27.3%
0 4
12.1%
3 3
 
9.1%
8 3
 
9.1%
4 3
 
9.1%
1 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
27.3%
0 4
12.1%
3 3
 
9.1%
8 3
 
9.1%
4 3
 
9.1%
1 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 106
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:55.856934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236807.931093387 421957.017429412
ValueCountFrequency (%)
236807.931093387 1
50.0%
421957.017429412 1
50.0%
2023-12-12T19:22:56.169715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
7 4
12.1%
9 4
12.1%
1 4
12.1%
0 3
9.1%
4 3
9.1%
8 2
6.1%
. 2
6.1%
6 1
 
3.0%
Other values (2) 2
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.3%
3 4
13.3%
7 4
13.3%
9 4
13.3%
1 4
13.3%
0 3
10.0%
4 3
10.0%
8 2
6.7%
6 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
7 4
12.1%
9 4
12.1%
1 4
12.1%
0 3
9.1%
4 3
9.1%
8 2
6.1%
. 2
6.1%
6 1
 
3.0%
Other values (2) 2
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
7 4
12.1%
9 4
12.1%
1 4
12.1%
0 3
9.1%
4 3
9.1%
8 2
6.1%
. 2
6.1%
6 1
 
3.0%
Other values (2) 2
6.1%

Unnamed: 107
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:56.349274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236803.149838496 421905.311167162
ValueCountFrequency (%)
236803.149838496 1
50.0%
421905.311167162 1
50.0%
2023-12-12T19:22:56.662316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.2%
3 4
12.1%
6 4
12.1%
2 3
9.1%
8 3
9.1%
4 3
9.1%
9 3
9.1%
0 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.0%
3 4
13.3%
6 4
13.3%
2 3
10.0%
8 3
10.0%
4 3
10.0%
9 3
10.0%
0 2
 
6.7%
5 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.2%
3 4
12.1%
6 4
12.1%
2 3
9.1%
8 3
9.1%
4 3
9.1%
9 3
9.1%
0 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.2%
3 4
12.1%
6 4
12.1%
2 3
9.1%
8 3
9.1%
4 3
9.1%
9 3
9.1%
0 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 108
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:56.811911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236797.281743683 421844.012881468
ValueCountFrequency (%)
236797.281743683 1
50.0%
421844.012881468 1
50.0%
2023-12-12T19:22:57.158122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 6
18.2%
4 5
15.2%
2 4
12.1%
1 4
12.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 6
20.0%
4 5
16.7%
2 4
13.3%
1 4
13.3%
3 3
10.0%
6 3
10.0%
7 3
10.0%
9 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 6
18.2%
4 5
15.2%
2 4
12.1%
1 4
12.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 6
18.2%
4 5
15.2%
2 4
12.1%
1 4
12.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Unnamed: 109
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:57.348413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236794.381133508 421813.185688542
ValueCountFrequency (%)
236794.381133508 1
50.0%
421813.185688542 1
50.0%
2023-12-12T19:22:57.695441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 6
18.2%
3 5
15.2%
1 5
15.2%
2 3
9.1%
4 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 6
20.0%
3 5
16.7%
1 5
16.7%
2 3
10.0%
4 3
10.0%
5 3
10.0%
6 2
 
6.7%
7 1
 
3.3%
9 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 6
18.2%
3 5
15.2%
1 5
15.2%
2 3
9.1%
4 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 6
18.2%
3 5
15.2%
1 5
15.2%
2 3
9.1%
4 3
9.1%
5 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 110
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:57.865674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236791.894091907 421783.636798756
ValueCountFrequency (%)
236791.894091907 1
50.0%
421783.636798756 1
50.0%
2023-12-12T19:22:58.174527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
9 5
15.2%
6 4
12.1%
3 3
9.1%
1 3
9.1%
8 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
9 5
16.7%
6 4
13.3%
3 3
10.0%
1 3
10.0%
8 3
10.0%
2 2
 
6.7%
4 2
 
6.7%
0 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
9 5
15.2%
6 4
12.1%
3 3
9.1%
1 3
9.1%
8 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
9 5
15.2%
6 4
12.1%
3 3
9.1%
1 3
9.1%
8 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 111
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:58.348654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236787.058168947 421729.768079408
ValueCountFrequency (%)
236787.058168947 1
50.0%
421729.768079408 1
50.0%
2023-12-12T19:22:58.702966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
18.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
0 3
9.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
20.0%
8 5
16.7%
2 3
10.0%
6 3
10.0%
0 3
10.0%
9 3
10.0%
4 3
10.0%
1 2
 
6.7%
3 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
18.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
0 3
9.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
18.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
0 3
9.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 112
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:58.884300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236782.059128486 421671.950960329
ValueCountFrequency (%)
236782.059128486 1
50.0%
421671.950960329 1
50.0%
2023-12-12T19:22:59.207228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
9 4
12.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
6 4
13.3%
9 4
13.3%
8 3
10.0%
0 3
10.0%
1 3
10.0%
3 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
4 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
9 4
12.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
9 4
12.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 113
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:59.369021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236776.621273209 421609.190578211
ValueCountFrequency (%)
236776.621273209 1
50.0%
421609.190578211 1
50.0%
2023-12-12T19:22:59.644945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
1 5
15.2%
6 4
12.1%
7 4
12.1%
0 3
9.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
4 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
1 5
16.7%
6 4
13.3%
7 4
13.3%
0 3
10.0%
9 3
10.0%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
1 5
15.2%
6 4
12.1%
7 4
12.1%
0 3
9.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
4 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
1 5
15.2%
6 4
12.1%
7 4
12.1%
0 3
9.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
4 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 114
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:22:59.803839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236775.431340939 421594.961237985
ValueCountFrequency (%)
236775.431340939 1
50.0%
421594.961237985 1
50.0%
2023-12-12T19:23:00.084724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
9 5
15.2%
4 4
12.1%
2 3
9.1%
7 3
9.1%
5 3
9.1%
1 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
9 5
16.7%
4 4
13.3%
2 3
10.0%
7 3
10.0%
5 3
10.0%
1 3
10.0%
6 2
 
6.7%
0 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
9 5
15.2%
4 4
12.1%
2 3
9.1%
7 3
9.1%
5 3
9.1%
1 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
9 5
15.2%
4 4
12.1%
2 3
9.1%
7 3
9.1%
5 3
9.1%
1 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 115
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:00.249656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236774.744452302 421586.425580824
ValueCountFrequency (%)
236774.744452302 1
50.0%
421586.425580824 1
50.0%
2023-12-12T19:23:00.508571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
5 4
12.1%
7 3
9.1%
8 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7
23.3%
2 6
20.0%
5 4
13.3%
7 3
10.0%
8 3
10.0%
3 2
 
6.7%
6 2
 
6.7%
0 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
5 4
12.1%
7 3
9.1%
8 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7
21.2%
2 6
18.2%
5 4
12.1%
7 3
9.1%
8 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Unnamed: 116
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:00.652889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.483261031 421558.904284657
ValueCountFrequency (%)
236772.483261031 1
50.0%
421558.904284657 1
50.0%
2023-12-12T19:23:00.893814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
4 4
12.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
8 3
9.1%
1 3
9.1%
5 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
4 4
13.3%
3 3
10.0%
6 3
10.0%
7 3
10.0%
8 3
10.0%
1 3
10.0%
5 3
10.0%
0 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
4 4
12.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
8 3
9.1%
1 3
9.1%
5 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
4 4
12.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
8 3
9.1%
1 3
9.1%
5 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 117
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:01.059981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.185179494 421550.817975214
ValueCountFrequency (%)
236772.185179494 1
50.0%
421550.817975214 1
50.0%
2023-12-12T19:23:01.367055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
2 4
12.1%
5 4
12.1%
4 4
12.1%
9 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
3 1
 
3.0%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
1 5
16.7%
2 4
13.3%
5 4
13.3%
4 4
13.3%
9 3
10.0%
8 2
 
6.7%
3 1
 
3.3%
6 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
2 4
12.1%
5 4
12.1%
4 4
12.1%
9 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
3 1
 
3.0%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
2 4
12.1%
5 4
12.1%
4 4
12.1%
9 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
3 1
 
3.0%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 118
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:02.008940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.224942931 421547.746397098
ValueCountFrequency (%)
236772.224942931 1
50.0%
421547.746397098 1
50.0%
2023-12-12T19:23:02.326404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
7 5
15.2%
4 5
15.2%
9 4
12.1%
3 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
7 5
16.7%
4 5
16.7%
9 4
13.3%
3 3
10.0%
6 2
 
6.7%
1 2
 
6.7%
5 1
 
3.3%
0 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
7 5
15.2%
4 5
15.2%
9 4
12.1%
3 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
7 5
15.2%
4 5
15.2%
9 4
12.1%
3 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 119
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:02.514874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.300589854 421545.880273344
ValueCountFrequency (%)
236772.300589854 1
50.0%
421545.880273344 1
50.0%
2023-12-12T19:23:02.802128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5
15.2%
2 4
12.1%
3 4
12.1%
5 4
12.1%
8 4
12.1%
7 3
9.1%
0 3
9.1%
. 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
16.7%
2 4
13.3%
3 4
13.3%
5 4
13.3%
8 4
13.3%
7 3
10.0%
0 3
10.0%
6 1
 
3.3%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5
15.2%
2 4
12.1%
3 4
12.1%
5 4
12.1%
8 4
12.1%
7 3
9.1%
0 3
9.1%
. 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5
15.2%
2 4
12.1%
3 4
12.1%
5 4
12.1%
8 4
12.1%
7 3
9.1%
0 3
9.1%
. 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 120
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:02.968843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.300935406 421545.86806828
ValueCountFrequency (%)
236772.300935406 1
50.0%
421545.86806828 1
50.0%
2023-12-12T19:23:03.234452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.5%
6 4
12.5%
0 4
12.5%
8 4
12.5%
3 3
9.4%
5 3
9.4%
4 3
9.4%
7 2
6.2%
. 2
6.2%
9 1
 
3.1%
Other values (2) 2
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.8%
6 4
13.8%
0 4
13.8%
8 4
13.8%
3 3
10.3%
5 3
10.3%
4 3
10.3%
7 2
6.9%
9 1
 
3.4%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.5%
6 4
12.5%
0 4
12.5%
8 4
12.5%
3 3
9.4%
5 3
9.4%
4 3
9.4%
7 2
6.2%
. 2
6.2%
9 1
 
3.1%
Other values (2) 2
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.5%
6 4
12.5%
0 4
12.5%
8 4
12.5%
3 3
9.4%
5 3
9.4%
4 3
9.4%
7 2
6.2%
. 2
6.2%
9 1
 
3.1%
Other values (2) 2
6.2%

Unnamed: 121
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:03.381148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.715917567 421520.085758377
ValueCountFrequency (%)
236772.715917567 1
50.0%
421520.085758377 1
50.0%
2023-12-12T19:23:03.687922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 8
24.2%
5 5
15.2%
2 4
12.1%
1 3
 
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 8
26.7%
5 5
16.7%
2 4
13.3%
1 3
 
10.0%
3 2
 
6.7%
6 2
 
6.7%
0 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 8
24.2%
5 5
15.2%
2 4
12.1%
1 3
 
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 8
24.2%
5 5
15.2%
2 4
12.1%
1 3
 
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 122
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:03.866730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236774.02286036 421470.845266558
ValueCountFrequency (%)
236774.02286036 1
50.0%
421470.845266558 1
50.0%
2023-12-12T19:23:04.193326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
6 5
15.6%
4 4
12.5%
7 3
9.4%
0 3
9.4%
8 3
9.4%
5 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
6 5
17.2%
4 4
13.8%
7 3
10.3%
0 3
10.3%
8 3
10.3%
5 3
10.3%
3 2
 
6.9%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
6 5
15.6%
4 4
12.5%
7 3
9.4%
0 3
9.4%
8 3
9.4%
5 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
6 5
15.6%
4 4
12.5%
7 3
9.4%
0 3
9.4%
8 3
9.4%
5 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Unnamed: 123
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:04.377413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236775.059826619 421431.004308933
ValueCountFrequency (%)
236775.059826619 1
50.0%
421431.004308933 1
50.0%
2023-12-12T19:23:04.686300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
0 4
12.1%
2 3
9.1%
6 3
9.1%
9 3
9.1%
1 3
9.1%
4 3
9.1%
7 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
0 4
13.3%
2 3
10.0%
6 3
10.0%
9 3
10.0%
1 3
10.0%
4 3
10.0%
7 2
 
6.7%
5 2
 
6.7%
8 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
0 4
12.1%
2 3
9.1%
6 3
9.1%
9 3
9.1%
1 3
9.1%
4 3
9.1%
7 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
0 4
12.1%
2 3
9.1%
6 3
9.1%
9 3
9.1%
1 3
9.1%
4 3
9.1%
7 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 124
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:04.870181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236775.63263814 421416.418857558
ValueCountFrequency (%)
236775.63263814 1
50.0%
421416.418857558 1
50.0%
2023-12-12T19:23:05.169050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 4
12.5%
5 4
12.5%
8 4
12.5%
1 4
12.5%
4 4
12.5%
2 3
9.4%
3 3
9.4%
7 3
9.4%
. 2
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 4
13.8%
5 4
13.8%
8 4
13.8%
1 4
13.8%
4 4
13.8%
2 3
10.3%
3 3
10.3%
7 3
10.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 4
12.5%
5 4
12.5%
8 4
12.5%
1 4
12.5%
4 4
12.5%
2 3
9.4%
3 3
9.4%
7 3
9.4%
. 2
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 4
12.5%
5 4
12.5%
8 4
12.5%
1 4
12.5%
4 4
12.5%
2 3
9.4%
3 3
9.4%
7 3
9.4%
. 2
6.2%
1
 
3.1%

Unnamed: 125
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:05.322331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236776.204568132 421402.063999407
ValueCountFrequency (%)
236776.204568132 1
50.0%
421402.063999407 1
50.0%
2023-12-12T19:23:05.581300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
0 4
12.1%
4 4
12.1%
3 3
9.1%
7 3
9.1%
9 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
6 4
13.3%
0 4
13.3%
4 4
13.3%
3 3
10.0%
7 3
10.0%
9 3
10.0%
1 2
 
6.7%
5 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
0 4
12.1%
4 4
12.1%
3 3
9.1%
7 3
9.1%
9 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
0 4
12.1%
4 4
12.1%
3 3
9.1%
7 3
9.1%
9 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 126
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:05.748576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236776.204834932 421402.055476647
ValueCountFrequency (%)
236776.204834932 1
50.0%
421402.055476647 1
50.0%
2023-12-12T19:23:06.040211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
6 4
12.1%
7 4
12.1%
3 3
9.1%
0 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
2 5
16.7%
6 4
13.3%
7 4
13.3%
3 3
10.0%
0 3
10.0%
5 2
 
6.7%
8 1
 
3.3%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
6 4
12.1%
7 4
12.1%
3 3
9.1%
0 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
2 5
15.2%
6 4
12.1%
7 4
12.1%
3 3
9.1%
0 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 127
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:06.208215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236776.343918926 421395.947478471
ValueCountFrequency (%)
236776.343918926 1
50.0%
421395.947478471 1
50.0%
2023-12-12T19:23:06.472322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
4 5
15.2%
3 4
12.1%
9 4
12.1%
2 3
9.1%
6 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
4 5
16.7%
3 4
13.3%
9 4
13.3%
2 3
10.0%
6 3
10.0%
1 3
10.0%
8 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
4 5
15.2%
3 4
12.1%
9 4
12.1%
2 3
9.1%
6 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
4 5
15.2%
3 4
12.1%
9 4
12.1%
2 3
9.1%
6 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Unnamed: 128
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:06.621994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236776.429847671 421391.468120533
ValueCountFrequency (%)
236776.429847671 1
50.0%
421391.468120533 1
50.0%
2023-12-12T19:23:06.890189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
6 4
12.1%
7 4
12.1%
4 4
12.1%
1 4
12.1%
. 2
6.1%
9 2
6.1%
8 2
6.1%
1
 
3.0%
Other values (2) 2
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.3%
3 4
13.3%
6 4
13.3%
7 4
13.3%
4 4
13.3%
1 4
13.3%
9 2
6.7%
8 2
6.7%
0 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
6 4
12.1%
7 4
12.1%
4 4
12.1%
1 4
12.1%
. 2
6.1%
9 2
6.1%
8 2
6.1%
1
 
3.0%
Other values (2) 2
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
6 4
12.1%
7 4
12.1%
4 4
12.1%
1 4
12.1%
. 2
6.1%
9 2
6.1%
8 2
6.1%
1
 
3.0%
Other values (2) 2
6.1%

Unnamed: 129
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:07.054650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236777.693338433 421365.628568865
ValueCountFrequency (%)
236777.693338433 1
50.0%
421365.628568865 1
50.0%
2023-12-12T19:23:07.346376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
21.2%
6 6
18.2%
8 4
12.1%
2 3
9.1%
7 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
23.3%
6 6
20.0%
8 4
13.3%
2 3
10.0%
7 3
10.0%
5 3
10.0%
4 2
 
6.7%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
21.2%
6 6
18.2%
8 4
12.1%
2 3
9.1%
7 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
21.2%
6 6
18.2%
8 4
12.1%
2 3
9.1%
7 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
9 1
 
3.0%
1
 
3.0%

Unnamed: 130
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:07.505749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236778.427401123 421351.954084447
ValueCountFrequency (%)
236778.427401123 1
50.0%
421351.954084447 1
50.0%
2023-12-12T19:23:07.819244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7
21.2%
2 4
12.1%
7 4
12.1%
1 4
12.1%
3 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7
23.3%
2 4
13.3%
7 4
13.3%
1 4
13.3%
3 3
10.0%
8 2
 
6.7%
0 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7
21.2%
2 4
12.1%
7 4
12.1%
1 4
12.1%
3 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7
21.2%
2 4
12.1%
7 4
12.1%
1 4
12.1%
3 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 131
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:07.984703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236780.257306069 421315.681880081
ValueCountFrequency (%)
236780.257306069 1
50.0%
421315.681880081 1
50.0%
2023-12-12T19:23:08.261536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 5
15.2%
0 5
15.2%
6 4
12.1%
1 4
12.1%
2 3
9.1%
3 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 5
16.7%
0 5
16.7%
6 4
13.3%
1 4
13.3%
2 3
10.0%
3 3
10.0%
7 2
 
6.7%
5 2
 
6.7%
9 1
 
3.3%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 5
15.2%
0 5
15.2%
6 4
12.1%
1 4
12.1%
2 3
9.1%
3 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 5
15.2%
0 5
15.2%
6 4
12.1%
1 4
12.1%
2 3
9.1%
3 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 132
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:08.421428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236782.441471458 421274.672898326
ValueCountFrequency (%)
236782.441471458 1
50.0%
421274.672898326 1
50.0%
2023-12-12T19:23:08.739456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
4 6
18.2%
7 4
12.1%
8 4
12.1%
6 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
4 6
20.0%
7 4
13.3%
8 4
13.3%
6 3
10.0%
1 3
10.0%
3 2
 
6.7%
5 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
4 6
18.2%
7 4
12.1%
8 4
12.1%
6 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
4 6
18.2%
7 4
12.1%
8 4
12.1%
6 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 1
 
3.0%
1
 
3.0%

Unnamed: 133
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:08.938183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236783.071385821 421262.104725284
ValueCountFrequency (%)
236783.071385821 1
50.0%
421262.104725284 1
50.0%
2023-12-12T19:23:09.316937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
8 4
12.1%
1 4
12.1%
3 3
9.1%
7 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
8 4
13.3%
1 4
13.3%
3 3
10.0%
7 3
10.0%
4 3
10.0%
6 2
 
6.7%
0 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
8 4
12.1%
1 4
12.1%
3 3
9.1%
7 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
8 4
12.1%
1 4
12.1%
3 3
9.1%
7 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%

Unnamed: 134
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:09.483479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236785.511342194 421216.160905248
ValueCountFrequency (%)
236785.511342194 1
50.0%
421216.160905248 1
50.0%
2023-12-12T19:23:09.812511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.2%
2 5
15.2%
4 4
12.1%
6 3
9.1%
5 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.0%
2 5
16.7%
4 4
13.3%
6 3
10.0%
5 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
0 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.2%
2 5
15.2%
4 4
12.1%
6 3
9.1%
5 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.2%
2 5
15.2%
4 4
12.1%
6 3
9.1%
5 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 135
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:09.988495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236787.698453837 421175.984615086
ValueCountFrequency (%)
236787.698453837 1
50.0%
421175.984615086 1
50.0%
2023-12-12T19:23:10.343754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 5
15.2%
6 4
12.1%
7 4
12.1%
3 3
9.1%
4 3
9.1%
5 3
9.1%
1 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 5
16.7%
6 4
13.3%
7 4
13.3%
3 3
10.0%
4 3
10.0%
5 3
10.0%
1 3
10.0%
2 2
 
6.7%
9 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 5
15.2%
6 4
12.1%
7 4
12.1%
3 3
9.1%
4 3
9.1%
5 3
9.1%
1 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 5
15.2%
6 4
12.1%
7 4
12.1%
3 3
9.1%
4 3
9.1%
5 3
9.1%
1 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 136
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:10.549589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236788.420429939 421160.827856587
ValueCountFrequency (%)
236788.420429939 1
50.0%
421160.827856587 1
50.0%
2023-12-12T19:23:10.879144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
8 5
15.2%
6 3
9.1%
7 3
9.1%
4 3
9.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
8 5
16.7%
6 3
10.0%
7 3
10.0%
4 3
10.0%
9 3
10.0%
3 2
 
6.7%
0 2
 
6.7%
1 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
8 5
15.2%
6 3
9.1%
7 3
9.1%
4 3
9.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
8 5
15.2%
6 3
9.1%
7 3
9.1%
4 3
9.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 137
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:11.081837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236790.426142177 421122.309800759
ValueCountFrequency (%)
236790.426142177 1
50.0%
421122.309800759 1
50.0%
2023-12-12T19:23:11.402729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
7 4
12.1%
0 4
12.1%
1 4
12.1%
9 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
7 4
13.3%
0 4
13.3%
1 4
13.3%
9 3
10.0%
4 3
10.0%
3 2
 
6.7%
6 2
 
6.7%
8 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
7 4
12.1%
0 4
12.1%
1 4
12.1%
9 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
7 4
12.1%
0 4
12.1%
1 4
12.1%
9 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 138
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:11.577534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236791.452221914 421107.928854706
ValueCountFrequency (%)
236791.452221914 1
50.0%
421107.928854706 1
50.0%
2023-12-12T19:23:11.906852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
1 5
15.2%
4 4
12.1%
7 3
9.1%
9 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
1 5
16.7%
4 4
13.3%
7 3
10.0%
9 3
10.0%
6 2
 
6.7%
5 2
 
6.7%
0 2
 
6.7%
8 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
1 5
15.2%
4 4
12.1%
7 3
9.1%
9 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
1 5
15.2%
4 4
12.1%
7 3
9.1%
9 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 139
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:12.054989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236791.60062921 421107.008739464
ValueCountFrequency (%)
236791.60062921 1
50.0%
421107.008739464 1
50.0%
2023-12-12T19:23:12.366917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
6 4
12.5%
1 4
12.5%
7 3
9.4%
9 3
9.4%
4 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
17.2%
2 4
13.8%
6 4
13.8%
1 4
13.8%
7 3
10.3%
9 3
10.3%
4 3
10.3%
3 2
 
6.9%
8 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
6 4
12.5%
1 4
12.5%
7 3
9.4%
9 3
9.4%
4 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
6 4
12.5%
1 4
12.5%
7 3
9.4%
9 3
9.4%
4 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1
 
3.1%

Unnamed: 140
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:12.547308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236791.603066134 421106.99178902
ValueCountFrequency (%)
236791.603066134 1
50.0%
421106.99178902 1
50.0%
2023-12-12T19:23:12.832854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.6%
1 5
15.6%
9 4
12.5%
0 4
12.5%
2 3
9.4%
3 3
9.4%
7 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
17.2%
1 5
17.2%
9 4
13.8%
0 4
13.8%
2 3
10.3%
3 3
10.3%
7 2
 
6.9%
4 2
 
6.9%
8 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.6%
1 5
15.6%
9 4
12.5%
0 4
12.5%
2 3
9.4%
3 3
9.4%
7 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.6%
1 5
15.6%
9 4
12.5%
0 4
12.5%
2 3
9.4%
3 3
9.4%
7 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
1
 
3.1%

Unnamed: 141
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:13.032571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236791.605508085 421106.967832185
ValueCountFrequency (%)
236791.605508085 1
50.0%
421106.967832185 1
50.0%
2023-12-12T19:23:13.373829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 4
12.1%
1 4
12.1%
0 4
12.1%
5 4
12.1%
8 4
12.1%
2 3
9.1%
3 2
6.1%
7 2
6.1%
9 2
6.1%
. 2
6.1%
Other values (2) 2
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 4
13.3%
1 4
13.3%
0 4
13.3%
5 4
13.3%
8 4
13.3%
2 3
10.0%
3 2
6.7%
7 2
6.7%
9 2
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 4
12.1%
1 4
12.1%
0 4
12.1%
5 4
12.1%
8 4
12.1%
2 3
9.1%
3 2
6.1%
7 2
6.1%
9 2
6.1%
. 2
6.1%
Other values (2) 2
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 4
12.1%
1 4
12.1%
0 4
12.1%
5 4
12.1%
8 4
12.1%
2 3
9.1%
3 2
6.1%
7 2
6.1%
9 2
6.1%
. 2
6.1%
Other values (2) 2
6.1%

Unnamed: 142
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:13.567528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.370624926 421097.114762065
ValueCountFrequency (%)
236792.370624926 1
50.0%
421097.114762065 1
50.0%
2023-12-12T19:23:13.911324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
7 4
12.1%
9 3
9.1%
0 3
9.1%
4 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
7 4
13.3%
9 3
10.0%
0 3
10.0%
4 3
10.0%
1 3
10.0%
3 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
7 4
12.1%
9 3
9.1%
0 3
9.1%
4 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
7 4
12.1%
9 3
9.1%
0 3
9.1%
4 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Unnamed: 143
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:14.116109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.371694448 421097.096812626
ValueCountFrequency (%)
236792.371694448 1
50.0%
421097.096812626 1
50.0%
2023-12-12T19:23:14.528918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
6 5
15.2%
9 4
12.1%
4 4
12.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
6 5
16.7%
9 4
13.3%
4 4
13.3%
7 3
10.0%
1 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
6 5
15.2%
9 4
12.1%
4 4
12.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
6 5
15.2%
9 4
12.1%
4 4
12.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%

Unnamed: 144
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:14.804167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.447641096 421095.269122753
ValueCountFrequency (%)
236792.447641096 1
50.0%
421095.269122753 1
50.0%
2023-12-12T19:23:15.196341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 4
12.1%
9 4
12.1%
4 4
12.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 4
13.3%
9 4
13.3%
4 4
13.3%
7 3
10.0%
1 3
10.0%
3 2
 
6.7%
0 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 4
12.1%
9 4
12.1%
4 4
12.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 4
12.1%
9 4
12.1%
4 4
12.1%
7 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%

Unnamed: 145
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:15.406827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.581722692 421091.410461912
ValueCountFrequency (%)
236792.581722692 1
50.0%
421091.410461912 1
50.0%
2023-12-12T19:23:15.721524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
1 6
18.2%
9 4
12.1%
6 3
9.1%
4 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
1 6
20.0%
9 4
13.3%
6 3
10.0%
4 3
10.0%
7 2
 
6.7%
0 2
 
6.7%
3 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
1 6
18.2%
9 4
12.1%
6 3
9.1%
4 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
1 6
18.2%
9 4
12.1%
6 3
9.1%
4 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 146
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:15.884693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.582021844 421091.394651437
ValueCountFrequency (%)
236792.582021844 1
50.0%
421091.394651437 1
50.0%
2023-12-12T19:23:16.192513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
1 4
12.1%
3 3
9.1%
9 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
4 5
16.7%
1 4
13.3%
3 3
10.0%
9 3
10.0%
6 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
1 4
12.1%
3 3
9.1%
9 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
1 4
12.1%
3 3
9.1%
9 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 147
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:16.358873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.59610981 421086.857217092
ValueCountFrequency (%)
236792.59610981 1
50.0%
421086.857217092 1
50.0%
2023-12-12T19:23:16.625671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
9 4
12.5%
1 4
12.5%
6 3
9.4%
7 3
9.4%
0 3
9.4%
8 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
3 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
9 4
13.8%
1 4
13.8%
6 3
10.3%
7 3
10.3%
0 3
10.3%
8 3
10.3%
5 2
 
6.9%
3 1
 
3.4%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
9 4
12.5%
1 4
12.5%
6 3
9.4%
7 3
9.4%
0 3
9.4%
8 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
3 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
9 4
12.5%
1 4
12.5%
6 3
9.4%
7 3
9.4%
0 3
9.4%
8 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
3 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 148
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:16.778641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.706981515 421067.295887204
ValueCountFrequency (%)
236792.706981515 1
50.0%
421067.295887204 1
50.0%
2023-12-12T19:23:17.064504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
7 4
12.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
8 3
9.1%
1 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
7 4
13.3%
6 3
10.0%
9 3
10.0%
0 3
10.0%
8 3
10.0%
1 3
10.0%
5 3
10.0%
4 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
7 4
12.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
8 3
9.1%
1 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
7 4
12.1%
6 3
9.1%
9 3
9.1%
0 3
9.1%
8 3
9.1%
1 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 149
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:17.209797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236792.96488937 421057.335103067
ValueCountFrequency (%)
236792.96488937 1
50.0%
421057.335103067 1
50.0%
2023-12-12T19:23:17.481413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.6%
7 4
12.5%
2 3
9.4%
6 3
9.4%
9 3
9.4%
0 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
8 2
 
6.2%
1 2
 
6.2%
Other values (2) 3
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
17.2%
7 4
13.8%
2 3
10.3%
6 3
10.3%
9 3
10.3%
0 3
10.3%
4 2
 
6.9%
8 2
 
6.9%
1 2
 
6.9%
5 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.6%
7 4
12.5%
2 3
9.4%
6 3
9.4%
9 3
9.4%
0 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
8 2
 
6.2%
1 2
 
6.2%
Other values (2) 3
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.6%
7 4
12.5%
2 3
9.4%
6 3
9.4%
9 3
9.4%
0 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
8 2
 
6.2%
1 2
 
6.2%
Other values (2) 3
9.4%

Unnamed: 150
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:17.654172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236793.278616949 421048.195528849
ValueCountFrequency (%)
236793.278616949 1
50.0%
421048.195528849 1
50.0%
2023-12-12T19:23:17.949569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
8 4
12.1%
4 4
12.1%
6 3
9.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
16.7%
2 4
13.3%
8 4
13.3%
4 4
13.3%
6 3
10.0%
1 3
10.0%
3 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
8 4
12.1%
4 4
12.1%
6 3
9.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
8 4
12.1%
4 4
12.1%
6 3
9.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 151
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:18.111962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236794.814518737 421009.81800429
ValueCountFrequency (%)
236794.814518737 1
50.0%
421009.81800429 1
50.0%
2023-12-12T19:23:18.469891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 4
12.5%
8 4
12.5%
1 4
12.5%
0 4
12.5%
2 3
9.4%
7 3
9.4%
9 3
9.4%
3 2
6.2%
. 2
6.2%
6 1
 
3.1%
Other values (2) 2
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4
13.8%
8 4
13.8%
1 4
13.8%
0 4
13.8%
2 3
10.3%
7 3
10.3%
9 3
10.3%
3 2
6.9%
6 1
 
3.4%
5 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 4
12.5%
8 4
12.5%
1 4
12.5%
0 4
12.5%
2 3
9.4%
7 3
9.4%
9 3
9.4%
3 2
6.2%
. 2
6.2%
6 1
 
3.1%
Other values (2) 2
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 4
12.5%
8 4
12.5%
1 4
12.5%
0 4
12.5%
2 3
9.4%
7 3
9.4%
9 3
9.4%
3 2
6.2%
. 2
6.2%
6 1
 
3.1%
Other values (2) 2
6.2%

Unnamed: 152
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:18.629686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236795.431563697 420997.947854577
ValueCountFrequency (%)
236795.431563697 1
50.0%
420997.947854577 1
50.0%
2023-12-12T19:23:18.970634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
18.2%
9 5
15.2%
5 4
12.1%
4 4
12.1%
3 3
9.1%
6 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
1 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
20.0%
9 5
16.7%
5 4
13.3%
4 4
13.3%
3 3
10.0%
6 3
10.0%
2 2
 
6.7%
1 1
 
3.3%
0 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
18.2%
9 5
15.2%
5 4
12.1%
4 4
12.1%
3 3
9.1%
6 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
1 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
18.2%
9 5
15.2%
5 4
12.1%
4 4
12.1%
3 3
9.1%
6 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
1 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 153
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:19.144289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236798.099536973 420935.964036655
ValueCountFrequency (%)
236798.099536973 1
50.0%
420935.964036655 1
50.0%
2023-12-12T19:23:19.491364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 6
18.2%
3 5
15.2%
6 5
15.2%
5 4
12.1%
0 3
9.1%
2 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
8 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6
20.0%
3 5
16.7%
6 5
16.7%
5 4
13.3%
0 3
10.0%
2 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 6
18.2%
3 5
15.2%
6 5
15.2%
5 4
12.1%
0 3
9.1%
2 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
8 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 6
18.2%
3 5
15.2%
6 5
15.2%
5 4
12.1%
0 3
9.1%
2 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
8 1
 
3.0%

Unnamed: 154
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:19.716137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236800.84860354 420874.455084033
ValueCountFrequency (%)
236800.84860354 1
50.0%
420874.455084033 1
50.0%
2023-12-12T19:23:20.088228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.8%
4 6
18.8%
8 5
15.6%
3 4
12.5%
5 3
9.4%
2 2
 
6.2%
6 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
7 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.7%
4 6
20.7%
8 5
17.2%
3 4
13.8%
5 3
10.3%
2 2
 
6.9%
6 2
 
6.9%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.8%
4 6
18.8%
8 5
15.6%
3 4
12.5%
5 3
9.4%
2 2
 
6.2%
6 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
7 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.8%
4 6
18.8%
8 5
15.6%
3 4
12.5%
5 3
9.4%
2 2
 
6.2%
6 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
7 1
 
3.1%

Unnamed: 155
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:20.277129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236801.86563895 420850.880749948
ValueCountFrequency (%)
236801.86563895 1
50.0%
420850.880749948 1
50.0%
2023-12-12T19:23:20.621122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 7
21.9%
0 4
12.5%
6 3
9.4%
5 3
9.4%
9 3
9.4%
4 3
9.4%
2 2
 
6.2%
3 2
 
6.2%
. 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 7
24.1%
0 4
13.8%
6 3
10.3%
5 3
10.3%
9 3
10.3%
4 3
10.3%
2 2
 
6.9%
3 2
 
6.9%
1 1
 
3.4%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 7
21.9%
0 4
12.5%
6 3
9.4%
5 3
9.4%
9 3
9.4%
4 3
9.4%
2 2
 
6.2%
3 2
 
6.2%
. 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 7
21.9%
0 4
12.5%
6 3
9.4%
5 3
9.4%
9 3
9.4%
4 3
9.4%
2 2
 
6.2%
3 2
 
6.2%
. 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 156
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:20.808948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236803.931676562 420803.471861744
ValueCountFrequency (%)
236803.931676562 1
50.0%
420803.471861744 1
50.0%
2023-12-12T19:23:21.164714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.2%
3 4
12.1%
4 4
12.1%
2 3
9.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
7 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
16.7%
3 4
13.3%
4 4
13.3%
2 3
10.0%
8 3
10.0%
0 3
10.0%
1 3
10.0%
7 3
10.0%
9 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.2%
3 4
12.1%
4 4
12.1%
2 3
9.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
7 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.2%
3 4
12.1%
4 4
12.1%
2 3
9.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
7 3
9.1%
. 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 157
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:21.372568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236805.27159246 420769.825015195
ValueCountFrequency (%)
236805.27159246 1
50.0%
420769.825015195 1
50.0%
2023-12-12T19:23:21.699245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
6 3
9.4%
0 3
9.4%
1 3
9.4%
9 3
9.4%
8 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
4 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
5 5
17.2%
6 3
10.3%
0 3
10.3%
1 3
10.3%
9 3
10.3%
8 2
 
6.9%
7 2
 
6.9%
4 2
 
6.9%
3 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
6 3
9.4%
0 3
9.4%
1 3
9.4%
9 3
9.4%
8 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
4 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
5 5
15.6%
6 3
9.4%
0 3
9.4%
1 3
9.4%
9 3
9.4%
8 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
4 2
 
6.2%
Other values (2) 2
 
6.2%

Unnamed: 158
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:21.922599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236805.271804387 420769.818685489
ValueCountFrequency (%)
236805.271804387 1
50.0%
420769.818685489 1
50.0%
2023-12-12T19:23:22.767359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 7
21.2%
2 3
9.1%
6 3
9.1%
0 3
9.1%
7 3
9.1%
4 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 7
23.3%
2 3
10.0%
6 3
10.0%
0 3
10.0%
7 3
10.0%
4 3
10.0%
3 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 7
21.2%
2 3
9.1%
6 3
9.1%
0 3
9.1%
7 3
9.1%
4 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 7
21.2%
2 3
9.1%
6 3
9.1%
0 3
9.1%
7 3
9.1%
4 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 159
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:22.959983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.156939765 420737.207287181
ValueCountFrequency (%)
236806.156939765 1
50.0%
420737.207287181 1
50.0%
2023-12-12T19:23:23.282923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
2 4
12.1%
6 4
12.1%
3 3
9.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
2 4
13.3%
6 4
13.3%
3 3
10.0%
8 3
10.0%
0 3
10.0%
1 3
10.0%
5 2
 
6.7%
9 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
2 4
12.1%
6 4
12.1%
3 3
9.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
2 4
12.1%
6 4
12.1%
3 3
9.1%
8 3
9.1%
0 3
9.1%
1 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 160
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:23.480757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.503981793 420723.662889386
ValueCountFrequency (%)
236806.503981793 1
50.0%
420723.662889386 1
50.0%
2023-12-12T19:23:23.817159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
8 5
15.2%
2 4
12.1%
0 3
9.1%
9 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
5 1
 
3.0%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
6 5
16.7%
8 5
16.7%
2 4
13.3%
0 3
10.0%
9 3
10.0%
7 2
 
6.7%
5 1
 
3.3%
1 1
 
3.3%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
8 5
15.2%
2 4
12.1%
0 3
9.1%
9 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
5 1
 
3.0%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
8 5
15.2%
2 4
12.1%
0 3
9.1%
9 3
9.1%
. 2
 
6.1%
7 2
 
6.1%
5 1
 
3.0%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 161
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:24.012245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.50413882 420723.652731657
ValueCountFrequency (%)
236806.50413882 1
50.0%
420723.652731657 1
50.0%
2023-12-12T19:23:24.294645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
3 4
12.5%
6 4
12.5%
8 3
9.4%
0 3
9.4%
5 3
9.4%
7 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
3 4
13.8%
6 4
13.8%
8 3
10.3%
0 3
10.3%
5 3
10.3%
7 3
10.3%
4 2
 
6.9%
1 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
3 4
12.5%
6 4
12.5%
8 3
9.4%
0 3
9.4%
5 3
9.4%
7 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
3 4
12.5%
6 4
12.5%
8 3
9.4%
0 3
9.4%
5 3
9.4%
7 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%

Unnamed: 162
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:24.461471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.590925337 420707.274027774
ValueCountFrequency (%)
236806.590925337 1
50.0%
420707.274027774 1
50.0%
2023-12-12T19:23:24.721997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 7
21.2%
2 5
15.2%
0 5
15.2%
3 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 7
23.3%
2 5
16.7%
0 5
16.7%
3 3
10.0%
4 3
10.0%
6 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 7
21.2%
2 5
15.2%
0 5
15.2%
3 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 7
21.2%
2 5
15.2%
0 5
15.2%
3 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%

Unnamed: 163
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:24.870827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.650395412 420706.182329944
ValueCountFrequency (%)
236806.650395412 1
50.0%
420706.182329944 1
50.0%
2023-12-12T19:23:25.130316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
0 4
12.1%
4 4
12.1%
3 3
9.1%
9 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
6 4
13.3%
0 4
13.3%
4 4
13.3%
3 3
10.0%
9 3
10.0%
8 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
0 4
12.1%
4 4
12.1%
3 3
9.1%
9 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
6 4
12.1%
0 4
12.1%
4 4
12.1%
3 3
9.1%
9 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 164
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:25.276579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.650758638 420706.174545781
ValueCountFrequency (%)
236806.650758638 1
50.0%
420706.174545781 1
50.0%
2023-12-12T19:23:25.534659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.2%
8 4
12.1%
0 4
12.1%
5 4
12.1%
7 4
12.1%
4 3
9.1%
2 2
 
6.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
16.7%
8 4
13.3%
0 4
13.3%
5 4
13.3%
7 4
13.3%
4 3
10.0%
2 2
 
6.7%
3 2
 
6.7%
1 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.2%
8 4
12.1%
0 4
12.1%
5 4
12.1%
7 4
12.1%
4 3
9.1%
2 2
 
6.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.2%
8 4
12.1%
0 4
12.1%
5 4
12.1%
7 4
12.1%
4 3
9.1%
2 2
 
6.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%

Unnamed: 165
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:25.683964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236807.562579095 420682.707390154
ValueCountFrequency (%)
236807.562579095 1
50.0%
420682.707390154 1
50.0%
2023-12-12T19:23:25.929259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.2%
2 4
12.1%
7 4
12.1%
5 4
12.1%
6 3
9.1%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
16.7%
2 4
13.3%
7 4
13.3%
5 4
13.3%
6 3
10.0%
9 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
4 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.2%
2 4
12.1%
7 4
12.1%
5 4
12.1%
6 3
9.1%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.2%
2 4
12.1%
7 4
12.1%
5 4
12.1%
6 3
9.1%
9 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 166
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:26.099672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236807.56284961 420682.698296136
ValueCountFrequency (%)
236807.56284961 1
50.0%
420682.698296136 1
50.0%
2023-12-12T19:23:26.473290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
21.9%
2 5
15.6%
8 4
12.5%
9 3
9.4%
3 2
 
6.2%
0 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%
7 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
24.1%
2 5
17.2%
8 4
13.8%
9 3
10.3%
3 2
 
6.9%
0 2
 
6.9%
4 2
 
6.9%
1 2
 
6.9%
7 1
 
3.4%
5 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
21.9%
2 5
15.6%
8 4
12.5%
9 3
9.4%
3 2
 
6.2%
0 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%
7 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
21.9%
2 5
15.6%
8 4
12.5%
9 3
9.4%
3 2
 
6.2%
0 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%
7 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 167
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:26.627601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236808.03287216 420659.928353723
ValueCountFrequency (%)
236808.03287216 1
50.0%
420659.928353723 1
50.0%
2023-12-12T19:23:26.913671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.8%
3 5
15.6%
8 4
12.5%
6 3
9.4%
0 3
9.4%
. 2
 
6.2%
7 2
 
6.2%
5 2
 
6.2%
9 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.7%
3 5
17.2%
8 4
13.8%
6 3
10.3%
0 3
10.3%
7 2
 
6.9%
5 2
 
6.9%
9 2
 
6.9%
1 1
 
3.4%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.8%
3 5
15.6%
8 4
12.5%
6 3
9.4%
0 3
9.4%
. 2
 
6.2%
7 2
 
6.2%
5 2
 
6.2%
9 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.8%
3 5
15.6%
8 4
12.5%
6 3
9.4%
0 3
9.4%
. 2
 
6.2%
7 2
 
6.2%
5 2
 
6.2%
9 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 168
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:27.088238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236808.032978654 420659.918034805
ValueCountFrequency (%)
236808.032978654 1
50.0%
420659.918034805 1
50.0%
2023-12-12T19:23:27.410836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 5
15.2%
0 5
15.2%
2 3
9.1%
3 3
9.1%
6 3
9.1%
9 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 5
16.7%
0 5
16.7%
2 3
10.0%
3 3
10.0%
6 3
10.0%
9 3
10.0%
5 3
10.0%
4 3
10.0%
7 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 5
15.2%
0 5
15.2%
2 3
9.1%
3 3
9.1%
6 3
9.1%
9 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 5
15.2%
0 5
15.2%
2 3
9.1%
3 3
9.1%
6 3
9.1%
9 3
9.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 169
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:27.591589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236808.032906194 420659.909522839
ValueCountFrequency (%)
236808.032906194 1
50.0%
420659.909522839 1
50.0%
2023-12-12T19:23:27.864926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 6
18.2%
2 5
15.2%
0 5
15.2%
3 3
9.1%
6 3
9.1%
8 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
1 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6
20.0%
2 5
16.7%
0 5
16.7%
3 3
10.0%
6 3
10.0%
8 3
10.0%
4 2
 
6.7%
5 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 6
18.2%
2 5
15.2%
0 5
15.2%
3 3
9.1%
6 3
9.1%
8 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
1 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 6
18.2%
2 5
15.2%
0 5
15.2%
3 3
9.1%
6 3
9.1%
8 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
1 1
 
3.0%

Unnamed: 170
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:28.007135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236807.612030804 420635.190533906
ValueCountFrequency (%)
236807.612030804 1
50.0%
420635.190533906 1
50.0%
2023-12-12T19:23:28.290161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
21.2%
3 5
15.2%
6 4
12.1%
2 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
23.3%
3 5
16.7%
6 4
13.3%
2 3
10.0%
8 2
 
6.7%
1 2
 
6.7%
4 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7
21.2%
3 5
15.2%
6 4
12.1%
2 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
21.2%
3 5
15.2%
6 4
12.1%
2 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 171
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:28.432435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236807.611654513 420635.177866969
ValueCountFrequency (%)
236807.611654513 1
50.0%
420635.177866969 1
50.0%
2023-12-12T19:23:28.703671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
21.2%
1 4
12.1%
3 3
9.1%
7 3
9.1%
5 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
23.3%
1 4
13.3%
3 3
10.0%
7 3
10.0%
5 3
10.0%
2 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
4 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
21.2%
1 4
12.1%
3 3
9.1%
7 3
9.1%
5 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
21.2%
1 4
12.1%
3 3
9.1%
7 3
9.1%
5 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 172
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:28.875662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.952607328 420619.632783772
ValueCountFrequency (%)
236806.952607328 1
50.0%
420619.632783772 1
50.0%
2023-12-12T19:23:29.272584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
8 3
9.1%
0 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
5 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
3 4
13.3%
7 4
13.3%
8 3
10.0%
0 3
10.0%
9 2
 
6.7%
5 1
 
3.3%
4 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
8 3
9.1%
0 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
5 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
8 3
9.1%
0 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
5 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 173
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:29.465277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236806.951546747 420619.615141928
ValueCountFrequency (%)
236806.951546747 1
50.0%
420619.615141928 1
50.0%
2023-12-12T19:23:29.853240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.2%
1 5
15.2%
4 4
12.1%
2 3
9.1%
9 3
9.1%
5 3
9.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
16.7%
1 5
16.7%
4 4
13.3%
2 3
10.0%
9 3
10.0%
5 3
10.0%
8 2
 
6.7%
0 2
 
6.7%
7 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.2%
1 5
15.2%
4 4
12.1%
2 3
9.1%
9 3
9.1%
5 3
9.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.2%
1 5
15.2%
4 4
12.1%
2 3
9.1%
9 3
9.1%
5 3
9.1%
8 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 174
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:30.056497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236805.84027899 420605.345710993
ValueCountFrequency (%)
236805.84027899 1
50.0%
420605.345710993 1
50.0%
2023-12-12T19:23:30.390800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.6%
9 4
12.5%
2 3
9.4%
3 3
9.4%
8 3
9.4%
5 3
9.4%
4 3
9.4%
6 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
17.2%
9 4
13.8%
2 3
10.3%
3 3
10.3%
8 3
10.3%
5 3
10.3%
4 3
10.3%
6 2
 
6.9%
7 2
 
6.9%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.6%
9 4
12.5%
2 3
9.4%
3 3
9.4%
8 3
9.4%
5 3
9.4%
4 3
9.4%
6 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.6%
9 4
12.5%
2 3
9.4%
3 3
9.4%
8 3
9.4%
5 3
9.4%
4 3
9.4%
6 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
Other values (2) 2
 
6.2%

Unnamed: 175
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:30.590192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236804.203007822 420586.78525984
ValueCountFrequency (%)
236804.203007822 1
50.0%
420586.78525984 1
50.0%
2023-12-12T19:23:30.917129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.8%
8 5
15.6%
0 5
15.6%
4 3
9.4%
5 3
9.4%
3 2
 
6.2%
6 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.7%
8 5
17.2%
0 5
17.2%
4 3
10.3%
5 3
10.3%
3 2
 
6.9%
6 2
 
6.9%
7 2
 
6.9%
9 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.8%
8 5
15.6%
0 5
15.6%
4 3
9.4%
5 3
9.4%
3 2
 
6.2%
6 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.8%
8 5
15.6%
0 5
15.6%
4 3
9.4%
5 3
9.4%
3 2
 
6.2%
6 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
1
 
3.1%

Unnamed: 176
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:31.113780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236803.994791417 420584.610392315
ValueCountFrequency (%)
236803.994791417 1
50.0%
420584.610392315 1
50.0%
2023-12-12T19:23:31.397648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4
12.1%
9 4
12.1%
4 4
12.1%
1 4
12.1%
2 3
9.1%
0 3
9.1%
6 2
6.1%
8 2
6.1%
. 2
6.1%
7 2
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4
13.3%
9 4
13.3%
4 4
13.3%
1 4
13.3%
2 3
10.0%
0 3
10.0%
6 2
6.7%
8 2
6.7%
7 2
6.7%
5 2
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4
12.1%
9 4
12.1%
4 4
12.1%
1 4
12.1%
2 3
9.1%
0 3
9.1%
6 2
6.1%
8 2
6.1%
. 2
6.1%
7 2
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4
12.1%
9 4
12.1%
4 4
12.1%
1 4
12.1%
2 3
9.1%
0 3
9.1%
6 2
6.1%
8 2
6.1%
. 2
6.1%
7 2
6.1%
Other values (2) 3
9.1%

Unnamed: 177
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:31.589195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236803.993675841 420584.599906937
ValueCountFrequency (%)
236803.993675841 1
50.0%
420584.599906937 1
50.0%
2023-12-12T19:23:31.881006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 6
18.2%
3 4
12.1%
6 3
9.1%
8 3
9.1%
0 3
9.1%
5 3
9.1%
4 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6
20.0%
3 4
13.3%
6 3
10.0%
8 3
10.0%
0 3
10.0%
5 3
10.0%
4 3
10.0%
2 2
 
6.7%
7 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 6
18.2%
3 4
12.1%
6 3
9.1%
8 3
9.1%
0 3
9.1%
5 3
9.1%
4 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 6
18.2%
3 4
12.1%
6 3
9.1%
8 3
9.1%
0 3
9.1%
5 3
9.1%
4 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 178
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:32.066808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236803.513409091 420580.49759892
ValueCountFrequency (%)
236803.513409091 1
50.0%
420580.49759892 1
50.0%
2023-12-12T19:23:32.355246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.6%
9 5
15.6%
2 3
9.4%
3 3
9.4%
8 3
9.4%
5 3
9.4%
4 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
6 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
17.2%
9 5
17.2%
2 3
10.3%
3 3
10.3%
8 3
10.3%
5 3
10.3%
4 3
10.3%
1 2
 
6.9%
6 1
 
3.4%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.6%
9 5
15.6%
2 3
9.4%
3 3
9.4%
8 3
9.4%
5 3
9.4%
4 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
6 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.6%
9 5
15.6%
2 3
9.4%
3 3
9.4%
8 3
9.4%
5 3
9.4%
4 3
9.4%
. 2
 
6.2%
1 2
 
6.2%
6 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 179
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:32.524032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236803.510564964 420580.477572207
ValueCountFrequency (%)
236803.510564964 1
50.0%
420580.477572207 1
50.0%
2023-12-12T19:23:32.783454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.2%
2 4
12.1%
5 4
12.1%
4 4
12.1%
7 4
12.1%
6 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
16.7%
2 4
13.3%
5 4
13.3%
4 4
13.3%
7 4
13.3%
6 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
1 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.2%
2 4
12.1%
5 4
12.1%
4 4
12.1%
7 4
12.1%
6 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.2%
2 4
12.1%
5 4
12.1%
4 4
12.1%
7 4
12.1%
6 3
9.1%
3 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
1 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 180
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:32.930037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236801.827477099 420570.150630417
ValueCountFrequency (%)
236801.827477099 1
50.0%
420570.150630417 1
50.0%
2023-12-12T19:23:33.208911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.2%
7 5
15.2%
2 3
9.1%
1 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
7 5
16.7%
2 3
10.0%
1 3
10.0%
4 3
10.0%
3 2
 
6.7%
6 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.2%
7 5
15.2%
2 3
9.1%
1 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
7 5
15.2%
2 3
9.1%
1 3
9.1%
4 3
9.1%
3 2
 
6.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 181
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:33.359465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236801.825525816 420570.139457607
ValueCountFrequency (%)
236801.825525816 1
50.0%
420570.139457607 1
50.0%
2023-12-12T19:23:33.699921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5
15.2%
2 4
12.1%
0 4
12.1%
6 3
9.1%
8 3
9.1%
1 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5
16.7%
2 4
13.3%
0 4
13.3%
6 3
10.0%
8 3
10.0%
1 3
10.0%
7 3
10.0%
3 2
 
6.7%
4 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5
15.2%
2 4
12.1%
0 4
12.1%
6 3
9.1%
8 3
9.1%
1 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5
15.2%
2 4
12.1%
0 4
12.1%
6 3
9.1%
8 3
9.1%
1 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 182
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:33.852222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236797.050651938 420544.517352509
ValueCountFrequency (%)
236797.050651938 1
50.0%
420544.517352509 1
50.0%
2023-12-12T19:23:34.156062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6
18.2%
0 4
12.1%
2 3
9.1%
3 3
9.1%
7 3
9.1%
9 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6
20.0%
0 4
13.3%
2 3
10.0%
3 3
10.0%
7 3
10.0%
9 3
10.0%
4 3
10.0%
6 2
 
6.7%
1 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6
18.2%
0 4
12.1%
2 3
9.1%
3 3
9.1%
7 3
9.1%
9 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6
18.2%
0 4
12.1%
2 3
9.1%
3 3
9.1%
7 3
9.1%
9 3
9.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 183
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:34.333790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236797.049431567 420544.511030273
ValueCountFrequency (%)
236797.049431567 1
50.0%
420544.511030273 1
50.0%
2023-12-12T19:23:34.683787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5
15.2%
3 4
12.1%
7 4
12.1%
0 4
12.1%
2 3
9.1%
1 3
9.1%
5 3
9.1%
6 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
16.7%
3 4
13.3%
7 4
13.3%
0 4
13.3%
2 3
10.0%
1 3
10.0%
5 3
10.0%
6 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5
15.2%
3 4
12.1%
7 4
12.1%
0 4
12.1%
2 3
9.1%
1 3
9.1%
5 3
9.1%
6 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5
15.2%
3 4
12.1%
7 4
12.1%
0 4
12.1%
2 3
9.1%
1 3
9.1%
5 3
9.1%
6 2
 
6.1%
9 2
 
6.1%
. 2
 
6.1%

Unnamed: 184
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:34.856354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236788.026830255 420499.333840182
ValueCountFrequency (%)
236788.026830255 1
50.0%
420499.333840182 1
50.0%
2023-12-12T19:23:35.189558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
8 5
15.2%
0 4
12.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
3 5
16.7%
8 5
16.7%
0 4
13.3%
4 3
10.0%
6 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
7 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
8 5
15.2%
0 4
12.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
8 5
15.2%
0 4
12.1%
4 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 185
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:35.368362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236785.13448224 420485.53228542
ValueCountFrequency (%)
236785.13448224 1
50.0%
420485.53228542 1
50.0%
2023-12-12T19:23:35.662890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
22.6%
4 6
19.4%
8 4
12.9%
5 4
12.9%
3 3
9.7%
. 2
 
6.5%
6 1
 
3.2%
7 1
 
3.2%
1 1
 
3.2%
1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
90.3%
Other Punctuation 2
 
6.5%
Space Separator 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
25.0%
4 6
21.4%
8 4
14.3%
5 4
14.3%
3 3
10.7%
6 1
 
3.6%
7 1
 
3.6%
1 1
 
3.6%
0 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
22.6%
4 6
19.4%
8 4
12.9%
5 4
12.9%
3 3
9.7%
. 2
 
6.5%
6 1
 
3.2%
7 1
 
3.2%
1 1
 
3.2%
1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
22.6%
4 6
19.4%
8 4
12.9%
5 4
12.9%
3 3
9.7%
. 2
 
6.5%
6 1
 
3.2%
7 1
 
3.2%
1 1
 
3.2%
1
 
3.2%

Unnamed: 186
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:35.843758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236777.199352968 420447.78527276
ValueCountFrequency (%)
236777.199352968 1
50.0%
420447.78527276 1
50.0%
2023-12-12T19:23:36.144082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 7
21.9%
2 5
15.6%
6 3
9.4%
9 3
9.4%
4 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 7
24.1%
2 5
17.2%
6 3
10.3%
9 3
10.3%
4 3
10.3%
3 2
 
6.9%
5 2
 
6.9%
8 2
 
6.9%
1 1
 
3.4%
0 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 7
21.9%
2 5
15.6%
6 3
9.4%
9 3
9.4%
4 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 7
21.9%
2 5
15.6%
6 3
9.4%
9 3
9.4%
4 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 187
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:36.307641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236777.194967877 420447.766263146
ValueCountFrequency (%)
236777.194967877 1
50.0%
420447.766263146 1
50.0%
2023-12-12T19:23:36.595187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 8
24.2%
6 6
18.2%
4 5
15.2%
2 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 8
26.7%
6 6
20.0%
4 5
16.7%
2 3
 
10.0%
3 2
 
6.7%
1 2
 
6.7%
9 2
 
6.7%
8 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 8
24.2%
6 6
18.2%
4 5
15.2%
2 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 8
24.2%
6 6
18.2%
4 5
15.2%
2 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Unnamed: 188
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:36.777650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.630657074 420429.605016377
ValueCountFrequency (%)
236772.630657074 1
50.0%
420429.605016377 1
50.0%
2023-12-12T19:23:37.103054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
18.2%
6 5
15.2%
0 5
15.2%
2 4
12.1%
3 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
1
 
3.0%
9 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
20.0%
6 5
16.7%
0 5
16.7%
2 4
13.3%
3 3
10.0%
4 3
10.0%
5 2
 
6.7%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
18.2%
6 5
15.2%
0 5
15.2%
2 4
12.1%
3 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
1
 
3.0%
9 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
18.2%
6 5
15.2%
0 5
15.2%
2 4
12.1%
3 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
1
 
3.0%
9 1
 
3.0%

Unnamed: 189
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:37.275055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236772.62573552 420429.587046321
ValueCountFrequency (%)
236772.62573552 1
50.0%
420429.587046321 1
50.0%
2023-12-12T19:23:37.585109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.9%
7 4
12.5%
5 4
12.5%
3 3
9.4%
6 3
9.4%
4 3
9.4%
. 2
 
6.2%
0 2
 
6.2%
1
 
3.1%
9 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
24.1%
7 4
13.8%
5 4
13.8%
3 3
10.3%
6 3
10.3%
4 3
10.3%
0 2
 
6.9%
9 1
 
3.4%
8 1
 
3.4%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.9%
7 4
12.5%
5 4
12.5%
3 3
9.4%
6 3
9.4%
4 3
9.4%
. 2
 
6.2%
0 2
 
6.2%
1
 
3.1%
9 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.9%
7 4
12.5%
5 4
12.5%
3 3
9.4%
6 3
9.4%
4 3
9.4%
. 2
 
6.2%
0 2
 
6.2%
1
 
3.1%
9 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 190
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:37.774546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236766.430410553 420408.522092815
ValueCountFrequency (%)
236766.430410553 1
50.0%
420408.522092815 1
50.0%
2023-12-12T19:23:38.090039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
0 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
0 5
16.7%
4 4
13.3%
5 4
13.3%
3 3
10.0%
6 3
10.0%
1 2
 
6.7%
8 2
 
6.7%
7 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
0 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
0 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 191
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:38.293546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236760.855536545 420389.814419277
ValueCountFrequency (%)
236760.855536545 1
50.0%
420389.814419277 1
50.0%
2023-12-12T19:23:38.684080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5
15.2%
4 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
8 3
9.1%
0 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5
16.7%
4 4
13.3%
2 3
10.0%
3 3
10.0%
6 3
10.0%
7 3
10.0%
8 3
10.0%
0 2
 
6.7%
9 2
 
6.7%
1 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5
15.2%
4 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
8 3
9.1%
0 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5
15.2%
4 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
7 3
9.1%
8 3
9.1%
0 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 192
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:38.885274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236760.247694207 420387.734786009
ValueCountFrequency (%)
236760.247694207 1
50.0%
420387.734786009 1
50.0%
2023-12-12T19:23:39.209932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
18.2%
0 5
15.2%
2 4
12.1%
6 4
12.1%
4 4
12.1%
3 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
20.0%
0 5
16.7%
2 4
13.3%
6 4
13.3%
4 4
13.3%
3 3
10.0%
9 2
 
6.7%
8 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
18.2%
0 5
15.2%
2 4
12.1%
6 4
12.1%
4 4
12.1%
3 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
18.2%
0 5
15.2%
2 4
12.1%
6 4
12.1%
4 4
12.1%
3 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Unnamed: 193
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:39.417684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236749.798754284 420352.56185743
ValueCountFrequency (%)
236749.798754284 1
50.0%
420352.56185743 1
50.0%
2023-12-12T19:23:39.786343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5
15.6%
2 4
12.5%
7 4
12.5%
5 4
12.5%
3 3
9.4%
8 3
9.4%
6 2
 
6.2%
9 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
17.2%
2 4
13.8%
7 4
13.8%
5 4
13.8%
3 3
10.3%
8 3
10.3%
6 2
 
6.9%
9 2
 
6.9%
0 1
 
3.4%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5
15.6%
2 4
12.5%
7 4
12.5%
5 4
12.5%
3 3
9.4%
8 3
9.4%
6 2
 
6.2%
9 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5
15.6%
2 4
12.5%
7 4
12.5%
5 4
12.5%
3 3
9.4%
8 3
9.4%
6 2
 
6.2%
9 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 194
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:39.997207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236744.345424587 420334.675874685
ValueCountFrequency (%)
236744.345424587 1
50.0%
420334.675874685 1
50.0%
2023-12-12T19:23:40.364651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 8
24.2%
3 4
12.1%
7 4
12.1%
5 4
12.1%
2 3
 
9.1%
6 3
 
9.1%
8 3
 
9.1%
. 2
 
6.1%
1
 
3.0%
0 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 8
26.7%
3 4
13.3%
7 4
13.3%
5 4
13.3%
2 3
 
10.0%
6 3
 
10.0%
8 3
 
10.0%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 8
24.2%
3 4
12.1%
7 4
12.1%
5 4
12.1%
2 3
 
9.1%
6 3
 
9.1%
8 3
 
9.1%
. 2
 
6.1%
1
 
3.0%
0 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 8
24.2%
3 4
12.1%
7 4
12.1%
5 4
12.1%
2 3
 
9.1%
6 3
 
9.1%
8 3
 
9.1%
. 2
 
6.1%
1
 
3.0%
0 1
 
3.0%

Unnamed: 195
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:40.556580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236733.153727661 420297.622489556
ValueCountFrequency (%)
236733.153727661 1
50.0%
420297.622489556 1
50.0%
2023-12-12T19:23:40.917119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
3 4
13.3%
7 4
13.3%
5 3
10.0%
1 2
 
6.7%
4 2
 
6.7%
9 2
 
6.7%
0 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
5 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
9 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 196
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:41.101607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236733.148259808 420297.605489543
ValueCountFrequency (%)
236733.148259808 1
50.0%
420297.605489543 1
50.0%
2023-12-12T19:23:41.438289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
4 4
12.1%
8 4
12.1%
5 3
9.1%
9 3
9.1%
0 3
9.1%
6 2
6.1%
7 2
6.1%
. 2
6.1%
Other values (2) 2
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.3%
3 4
13.3%
4 4
13.3%
8 4
13.3%
5 3
10.0%
9 3
10.0%
0 3
10.0%
6 2
6.7%
7 2
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
4 4
12.1%
8 4
12.1%
5 3
9.1%
9 3
9.1%
0 3
9.1%
6 2
6.1%
7 2
6.1%
. 2
6.1%
Other values (2) 2
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.1%
3 4
12.1%
4 4
12.1%
8 4
12.1%
5 3
9.1%
9 3
9.1%
0 3
9.1%
6 2
6.1%
7 2
6.1%
. 2
6.1%
Other values (2) 2
6.1%

Unnamed: 197
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:41.617331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236729.089865941 420285.720085262
ValueCountFrequency (%)
236729.089865941 1
50.0%
420285.720085262 1
50.0%
2023-12-12T19:23:41.943177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
0 4
12.1%
8 4
12.1%
6 3
9.1%
9 3
9.1%
5 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
0 4
13.3%
8 4
13.3%
6 3
10.0%
9 3
10.0%
5 3
10.0%
7 2
 
6.7%
4 2
 
6.7%
3 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
0 4
12.1%
8 4
12.1%
6 3
9.1%
9 3
9.1%
5 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
0 4
12.1%
8 4
12.1%
6 3
9.1%
9 3
9.1%
5 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 198
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:42.145883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236728.440575104 420282.832186099
ValueCountFrequency (%)
236728.440575104 1
50.0%
420282.832186099 1
50.0%
2023-12-12T19:23:42.495605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
8 4
12.1%
4 4
12.1%
0 4
12.1%
3 2
 
6.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
8 4
13.3%
4 4
13.3%
0 4
13.3%
3 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
8 4
12.1%
4 4
12.1%
0 4
12.1%
3 2
 
6.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
8 4
12.1%
4 4
12.1%
0 4
12.1%
3 2
 
6.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 199
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:42.691260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236727.69334741 420277.363389408
ValueCountFrequency (%)
236727.69334741 1
50.0%
420277.363389408 1
50.0%
2023-12-12T19:23:43.545632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.8%
7 5
15.6%
2 4
12.5%
4 4
12.5%
6 3
9.4%
. 2
 
6.2%
9 2
 
6.2%
0 2
 
6.2%
8 2
 
6.2%
1 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.7%
7 5
17.2%
2 4
13.8%
4 4
13.8%
6 3
10.3%
9 2
 
6.9%
0 2
 
6.9%
8 2
 
6.9%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.8%
7 5
15.6%
2 4
12.5%
4 4
12.5%
6 3
9.4%
. 2
 
6.2%
9 2
 
6.2%
0 2
 
6.2%
8 2
 
6.2%
1 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.8%
7 5
15.6%
2 4
12.5%
4 4
12.5%
6 3
9.4%
. 2
 
6.2%
9 2
 
6.2%
0 2
 
6.2%
8 2
 
6.2%
1 1
 
3.1%

Unnamed: 200
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:43.746040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236727.12207358 420270.136523328
ValueCountFrequency (%)
236727.12207358 1
50.0%
420270.136523328 1
50.0%
2023-12-12T19:23:44.058273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
25.0%
3 5
15.6%
7 4
12.5%
0 3
 
9.4%
6 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
27.6%
3 5
17.2%
7 4
13.8%
0 3
 
10.3%
6 2
 
6.9%
1 2
 
6.9%
5 2
 
6.9%
8 2
 
6.9%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
25.0%
3 5
15.6%
7 4
12.5%
0 3
 
9.4%
6 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
25.0%
3 5
15.6%
7 4
12.5%
0 3
 
9.4%
6 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
5 2
 
6.2%
8 2
 
6.2%
1
 
3.1%

Unnamed: 201
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:44.210277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236727.070031636 420254.635156527
ValueCountFrequency (%)
236727.070031636 1
50.0%
420254.635156527 1
50.0%
2023-12-12T19:23:44.525034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
0 4
12.1%
5 4
12.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
6 5
16.7%
3 4
13.3%
7 4
13.3%
0 4
13.3%
5 4
13.3%
1 2
 
6.7%
4 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
0 4
12.1%
5 4
12.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
6 5
15.2%
3 4
12.1%
7 4
12.1%
0 4
12.1%
5 4
12.1%
. 2
 
6.1%
1 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Unnamed: 202
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:44.706840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236727.089973483 420249.815619578
ValueCountFrequency (%)
236727.089973483 1
50.0%
420249.815619578 1
50.0%
2023-12-12T19:23:45.017596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.1%
7 4
12.1%
8 4
12.1%
9 4
12.1%
3 3
9.1%
4 3
9.1%
6 2
6.1%
. 2
6.1%
0 2
6.1%
1 2
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.3%
7 4
13.3%
8 4
13.3%
9 4
13.3%
3 3
10.0%
4 3
10.0%
6 2
6.7%
0 2
6.7%
1 2
6.7%
5 2
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.1%
7 4
12.1%
8 4
12.1%
9 4
12.1%
3 3
9.1%
4 3
9.1%
6 2
6.1%
. 2
6.1%
0 2
6.1%
1 2
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.1%
7 4
12.1%
8 4
12.1%
9 4
12.1%
3 3
9.1%
4 3
9.1%
6 2
6.1%
. 2
6.1%
0 2
6.1%
1 2
6.1%
Other values (2) 3
9.1%

Unnamed: 203
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:45.169573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236727.085049807 420237.387838757
ValueCountFrequency (%)
236727.085049807 1
50.0%
420237.387838757 1
50.0%
2023-12-12T19:23:45.457213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 7
21.2%
8 5
15.2%
2 4
12.1%
3 4
12.1%
0 4
12.1%
. 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 7
23.3%
8 5
16.7%
2 4
13.3%
3 4
13.3%
0 4
13.3%
5 2
 
6.7%
4 2
 
6.7%
6 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 7
21.2%
8 5
15.2%
2 4
12.1%
3 4
12.1%
0 4
12.1%
. 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 7
21.2%
8 5
15.2%
2 4
12.1%
3 4
12.1%
0 4
12.1%
. 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
6 1
 
3.0%
9 1
 
3.0%

Unnamed: 204
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:45.606173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.964932623 420223.089339476
ValueCountFrequency (%)
236726.964932623 1
50.0%
420223.089339476 1
50.0%
2023-12-12T19:23:45.897253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
3 6
18.2%
6 5
15.2%
9 4
12.1%
4 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%
8 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
3 6
20.0%
6 5
16.7%
9 4
13.3%
4 3
10.0%
7 2
 
6.7%
0 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
3 6
18.2%
6 5
15.2%
9 4
12.1%
4 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%
8 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
3 6
18.2%
6 5
15.2%
9 4
12.1%
4 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%
8 1
 
3.0%

Unnamed: 205
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:46.058581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.860090496 420215.892543104
ValueCountFrequency (%)
236726.860090496 1
50.0%
420215.892543104 1
50.0%
2023-12-12T19:23:46.371682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
0 5
15.2%
6 4
12.1%
4 4
12.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
1 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
0 5
16.7%
6 4
13.3%
4 4
13.3%
9 3
10.0%
3 2
 
6.7%
8 2
 
6.7%
1 2
 
6.7%
5 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
0 5
15.2%
6 4
12.1%
4 4
12.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
1 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
0 5
15.2%
6 4
12.1%
4 4
12.1%
9 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
1 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 206
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:46.525034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.914863877 420213.662244963
ValueCountFrequency (%)
236726.914863877 1
50.0%
420213.662244963 1
50.0%
2023-12-12T19:23:46.841282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 6
18.2%
3 4
12.1%
4 4
12.1%
7 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 6
20.0%
3 4
13.3%
4 4
13.3%
7 3
10.0%
9 2
 
6.7%
1 2
 
6.7%
8 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 6
18.2%
3 4
12.1%
4 4
12.1%
7 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 6
18.2%
3 4
12.1%
4 4
12.1%
7 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
1
 
3.0%

Unnamed: 207
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:47.009091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.915014594 420213.649969278
ValueCountFrequency (%)
236726.915014594 1
50.0%
420213.649969278 1
50.0%
2023-12-12T19:23:47.325466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
9 5
15.2%
6 4
12.1%
4 4
12.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
9 5
16.7%
6 4
13.3%
4 4
13.3%
1 3
10.0%
3 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
0 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
9 5
15.2%
6 4
12.1%
4 4
12.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
9 5
15.2%
6 4
12.1%
4 4
12.1%
1 3
9.1%
3 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 208
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:47.502976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.912358975 420213.598505058
ValueCountFrequency (%)
236726.912358975 1
50.0%
420213.598505058 1
50.0%
2023-12-12T19:23:47.849864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6
18.2%
2 5
15.2%
3 3
9.1%
9 3
9.1%
8 3
9.1%
0 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6
20.0%
2 5
16.7%
3 3
10.0%
9 3
10.0%
8 3
10.0%
0 3
10.0%
6 2
 
6.7%
7 2
 
6.7%
1 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6
18.2%
2 5
15.2%
3 3
9.1%
9 3
9.1%
8 3
9.1%
0 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6
18.2%
2 5
15.2%
3 3
9.1%
9 3
9.1%
8 3
9.1%
0 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 209
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:48.055501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.508384295 420209.694539441
ValueCountFrequency (%)
236726.508384295 1
50.0%
420209.694539441 1
50.0%
2023-12-12T19:23:48.422612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
9 4
12.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
0 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
4 5
16.7%
9 4
13.3%
3 3
10.0%
6 3
10.0%
5 3
10.0%
0 3
10.0%
8 2
 
6.7%
7 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
9 4
12.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
0 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
9 4
12.1%
3 3
9.1%
6 3
9.1%
5 3
9.1%
0 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 210
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:48.618720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.495067787 420209.62063612
ValueCountFrequency (%)
236726.495067787 1
50.0%
420209.62063612 1
50.0%
2023-12-12T19:23:48.952209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.8%
6 6
18.8%
7 4
12.5%
0 4
12.5%
3 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
9 2
 
6.2%
5 1
 
3.1%
8 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.7%
6 6
20.7%
7 4
13.8%
0 4
13.8%
3 2
 
6.9%
4 2
 
6.9%
9 2
 
6.9%
5 1
 
3.4%
8 1
 
3.4%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.8%
6 6
18.8%
7 4
12.5%
0 4
12.5%
3 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
9 2
 
6.2%
5 1
 
3.1%
8 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.8%
6 6
18.8%
7 4
12.5%
0 4
12.5%
3 2
 
6.2%
. 2
 
6.2%
4 2
 
6.2%
9 2
 
6.2%
5 1
 
3.1%
8 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 211
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:49.141959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.470833486 420209.549560606
ValueCountFrequency (%)
236726.470833486 1
50.0%
420209.549560606 1
50.0%
2023-12-12T19:23:49.499628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6
18.2%
0 5
15.2%
2 4
12.1%
4 4
12.1%
3 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
20.0%
0 5
16.7%
2 4
13.3%
4 4
13.3%
3 3
10.0%
7 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6
18.2%
0 5
15.2%
2 4
12.1%
4 4
12.1%
3 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6
18.2%
0 5
15.2%
2 4
12.1%
4 4
12.1%
3 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%

Unnamed: 212
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:49.695065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236726.436228025 420209.482916085
ValueCountFrequency (%)
236726.436228025 1
50.0%
420209.482916085 1
50.0%
2023-12-12T19:23:50.058862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
6 4
12.1%
0 4
12.1%
4 3
 
9.1%
8 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
6 4
13.3%
0 4
13.3%
4 3
 
10.0%
8 3
 
10.0%
3 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
7 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
6 4
12.1%
0 4
12.1%
4 3
 
9.1%
8 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
6 4
12.1%
0 4
12.1%
4 3
 
9.1%
8 3
 
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 213
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:50.222178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236723.966221559 420205.491023317
ValueCountFrequency (%)
236723.966221559 1
50.0%
420205.491023317 1
50.0%
2023-12-12T19:23:50.530320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
6 3
9.1%
9 3
9.1%
1 3
9.1%
5 3
9.1%
0 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
3 4
13.3%
6 3
10.0%
9 3
10.0%
1 3
10.0%
5 3
10.0%
0 3
10.0%
7 2
 
6.7%
4 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
6 3
9.1%
9 3
9.1%
1 3
9.1%
5 3
9.1%
0 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
3 4
12.1%
6 3
9.1%
9 3
9.1%
1 3
9.1%
5 3
9.1%
0 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%

Unnamed: 214
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:50.679624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236723.945541948 420205.460218263
ValueCountFrequency (%)
236723.945541948 1
50.0%
420205.460218263 1
50.0%
2023-12-12T19:23:50.938515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
4 5
15.2%
3 3
9.1%
6 3
9.1%
5 3
9.1%
0 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
4 5
16.7%
3 3
10.0%
6 3
10.0%
5 3
10.0%
0 3
10.0%
9 2
 
6.7%
1 2
 
6.7%
8 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
4 5
15.2%
3 3
9.1%
6 3
9.1%
5 3
9.1%
0 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
4 5
15.2%
3 3
9.1%
6 3
9.1%
5 3
9.1%
0 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 215
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:51.086574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236723.910427579 420205.417142079
ValueCountFrequency (%)
236723.910427579 1
50.0%
420205.417142079 1
50.0%
2023-12-12T19:23:51.360670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
7 5
15.2%
0 4
12.1%
4 4
12.1%
9 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
7 5
16.7%
0 4
13.3%
4 4
13.3%
9 3
10.0%
1 3
10.0%
3 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
7 5
15.2%
0 4
12.1%
4 4
12.1%
9 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
7 5
15.2%
0 4
12.1%
4 4
12.1%
9 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%

Unnamed: 216
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:51.527499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236714.681414816 420195.30005406
ValueCountFrequency (%)
236714.681414816 1
50.0%
420195.30005406 1
50.0%
2023-12-12T19:23:51.786761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5
15.6%
4 5
15.6%
0 5
15.6%
6 4
12.5%
2 2
 
6.2%
3 2
 
6.2%
. 2
 
6.2%
8 2
 
6.2%
5 2
 
6.2%
7 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
17.2%
4 5
17.2%
0 5
17.2%
6 4
13.8%
2 2
 
6.9%
3 2
 
6.9%
8 2
 
6.9%
5 2
 
6.9%
7 1
 
3.4%
9 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
15.6%
4 5
15.6%
0 5
15.6%
6 4
12.5%
2 2
 
6.2%
3 2
 
6.2%
. 2
 
6.2%
8 2
 
6.2%
5 2
 
6.2%
7 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
15.6%
4 5
15.6%
0 5
15.6%
6 4
12.5%
2 2
 
6.2%
3 2
 
6.2%
. 2
 
6.2%
8 2
 
6.2%
5 2
 
6.2%
7 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 217
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:51.947653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236712.814422986 420193.253136549
ValueCountFrequency (%)
236712.814422986 1
50.0%
420193.253136549 1
50.0%
2023-12-12T19:23:52.295702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
1 4
12.1%
4 4
12.1%
6 3
9.1%
9 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
3 4
13.3%
1 4
13.3%
4 4
13.3%
6 3
10.0%
9 3
10.0%
8 2
 
6.7%
5 2
 
6.7%
7 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
1 4
12.1%
4 4
12.1%
6 3
9.1%
9 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
1 4
12.1%
4 4
12.1%
6 3
9.1%
9 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 218
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:52.475311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236712.809490905 420193.247807395
ValueCountFrequency (%)
236712.809490905 1
50.0%
420193.247807395 1
50.0%
2023-12-12T19:23:52.784174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.2%
9 5
15.2%
2 4
12.1%
3 3
9.1%
7 3
9.1%
4 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
16.7%
9 5
16.7%
2 4
13.3%
3 3
10.0%
7 3
10.0%
4 3
10.0%
1 2
 
6.7%
8 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.2%
9 5
15.2%
2 4
12.1%
3 3
9.1%
7 3
9.1%
4 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.2%
9 5
15.2%
2 4
12.1%
3 3
9.1%
7 3
9.1%
4 3
9.1%
1 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 219
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:52.961454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236712.797531709 420193.235502265
ValueCountFrequency (%)
236712.797531709 1
50.0%
420193.235502265 1
50.0%
2023-12-12T19:23:53.314602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
7 4
12.1%
5 4
12.1%
1 3
9.1%
9 3
9.1%
0 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
3 4
13.3%
7 4
13.3%
5 4
13.3%
1 3
10.0%
9 3
10.0%
0 3
10.0%
6 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
7 4
12.1%
5 4
12.1%
1 3
9.1%
9 3
9.1%
0 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
3 4
12.1%
7 4
12.1%
5 4
12.1%
1 3
9.1%
9 3
9.1%
0 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Unnamed: 220
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:53.497045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236706.787666683 420187.260443747
ValueCountFrequency (%)
236706.787666683 1
50.0%
420187.260443747 1
50.0%
2023-12-12T19:23:53.800030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
21.2%
7 6
18.2%
4 4
12.1%
2 3
9.1%
3 3
9.1%
0 3
9.1%
8 3
9.1%
. 2
 
6.1%
1
 
3.0%
1 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
23.3%
7 6
20.0%
4 4
13.3%
2 3
10.0%
3 3
10.0%
0 3
10.0%
8 3
10.0%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
21.2%
7 6
18.2%
4 4
12.1%
2 3
9.1%
3 3
9.1%
0 3
9.1%
8 3
9.1%
. 2
 
6.1%
1
 
3.0%
1 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
21.2%
7 6
18.2%
4 4
12.1%
2 3
9.1%
3 3
9.1%
0 3
9.1%
8 3
9.1%
. 2
 
6.1%
1
 
3.0%
1 1
 
3.0%

Unnamed: 221
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:53.992065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236706.770333294 420187.24401501
ValueCountFrequency (%)
236706.770333294 1
50.0%
420187.24401501 1
50.0%
2023-12-12T19:23:54.289512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
3 4
12.5%
7 4
12.5%
4 4
12.5%
1 3
9.4%
6 2
 
6.2%
. 2
 
6.2%
9 1
 
3.1%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
17.2%
2 4
13.8%
3 4
13.8%
7 4
13.8%
4 4
13.8%
1 3
10.3%
6 2
 
6.9%
9 1
 
3.4%
8 1
 
3.4%
5 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
3 4
12.5%
7 4
12.5%
4 4
12.5%
1 3
9.4%
6 2
 
6.2%
. 2
 
6.2%
9 1
 
3.1%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
3 4
12.5%
7 4
12.5%
4 4
12.5%
1 3
9.4%
6 2
 
6.2%
. 2
 
6.2%
9 1
 
3.1%
1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 222
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:54.491393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236686.985325499 420169.368979217
ValueCountFrequency (%)
236686.985325499 1
50.0%
420169.368979217 1
50.0%
2023-12-12T19:23:54.902853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 6
18.2%
6 5
15.2%
2 4
12.1%
3 3
9.1%
8 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6
20.0%
6 5
16.7%
2 4
13.3%
3 3
10.0%
8 3
10.0%
5 2
 
6.7%
4 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 6
18.2%
6 5
15.2%
2 4
12.1%
3 3
9.1%
8 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 6
18.2%
6 5
15.2%
2 4
12.1%
3 3
9.1%
8 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 223
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:55.102857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236686.966768407 420169.353030175
ValueCountFrequency (%)
236686.966768407 1
50.0%
420169.353030175 1
50.0%
2023-12-12T19:23:55.437734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
21.2%
3 4
12.1%
0 4
12.1%
7 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
23.3%
3 4
13.3%
0 4
13.3%
7 3
10.0%
2 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
4 2
 
6.7%
1 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
21.2%
3 4
12.1%
0 4
12.1%
7 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
21.2%
3 4
12.1%
0 4
12.1%
7 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 224
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:55.625642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236680.457837003 420164.085048836
ValueCountFrequency (%)
236680.457837003 1
50.0%
420164.085048836 1
50.0%
2023-12-12T19:23:55.923923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.2%
8 5
15.2%
3 4
12.1%
6 4
12.1%
4 4
12.1%
2 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
8 5
16.7%
3 4
13.3%
6 4
13.3%
4 4
13.3%
2 2
 
6.7%
5 2
 
6.7%
7 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.2%
8 5
15.2%
3 4
12.1%
6 4
12.1%
4 4
12.1%
2 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
8 5
15.2%
3 4
12.1%
6 4
12.1%
4 4
12.1%
2 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
7 2
 
6.1%
1
 
3.0%

Unnamed: 225
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:56.059070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236663.287308305 420150.43448041
ValueCountFrequency (%)
236663.287308305 1
50.0%
420150.43448041 1
50.0%
2023-12-12T19:23:56.324533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.6%
0 5
15.6%
4 5
15.6%
2 3
9.4%
6 3
9.4%
8 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
1 2
 
6.2%
7 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
17.2%
0 5
17.2%
4 5
17.2%
2 3
10.3%
6 3
10.3%
8 3
10.3%
5 2
 
6.9%
1 2
 
6.9%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.6%
0 5
15.6%
4 5
15.6%
2 3
9.4%
6 3
9.4%
8 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
1 2
 
6.2%
7 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.6%
0 5
15.6%
4 5
15.6%
2 3
9.4%
6 3
9.4%
8 3
9.4%
. 2
 
6.2%
5 2
 
6.2%
1 2
 
6.2%
7 1
 
3.1%

Unnamed: 226
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:56.498332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236647.976785648 420138.119218568
ValueCountFrequency (%)
236647.976785648 1
50.0%
420138.119218568 1
50.0%
2023-12-12T19:23:56.782032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.2%
8 5
15.2%
1 4
12.1%
2 3
9.1%
4 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
16.7%
8 5
16.7%
1 4
13.3%
2 3
10.0%
4 3
10.0%
7 3
10.0%
3 2
 
6.7%
9 2
 
6.7%
5 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.2%
8 5
15.2%
1 4
12.1%
2 3
9.1%
4 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.2%
8 5
15.2%
1 4
12.1%
2 3
9.1%
4 3
9.1%
7 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 227
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:56.971267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236626.460739256 420121.097250953
ValueCountFrequency (%)
236626.460739256 1
50.0%
420121.097250953 1
50.0%
2023-12-12T19:23:57.289390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
0 4
12.1%
3 3
9.1%
9 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
0 4
13.3%
3 3
10.0%
9 3
10.0%
5 3
10.0%
4 2
 
6.7%
7 2
 
6.7%
1 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
0 4
12.1%
3 3
9.1%
9 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
6 5
15.2%
0 4
12.1%
3 3
9.1%
9 3
9.1%
5 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%

Unnamed: 228
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:57.466404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236609.066109372 420106.526719491
ValueCountFrequency (%)
236609.066109372 1
50.0%
420106.526719491 1
50.0%
2023-12-12T19:23:57.762740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6
18.2%
0 5
15.2%
2 4
12.1%
9 4
12.1%
1 4
12.1%
3 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
20.0%
0 5
16.7%
2 4
13.3%
9 4
13.3%
1 4
13.3%
3 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6
18.2%
0 5
15.2%
2 4
12.1%
9 4
12.1%
1 4
12.1%
3 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6
18.2%
0 5
15.2%
2 4
12.1%
9 4
12.1%
1 4
12.1%
3 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
1
 
3.0%

Unnamed: 229
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:57.932429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236591.816264616 420092.066989069
ValueCountFrequency (%)
236591.816264616 1
50.0%
420092.066989069 1
50.0%
2023-12-12T19:23:58.261404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 8
24.2%
9 5
15.2%
2 4
12.1%
0 4
12.1%
1 3
 
9.1%
. 2
 
6.1%
8 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 8
26.7%
9 5
16.7%
2 4
13.3%
0 4
13.3%
1 3
 
10.0%
8 2
 
6.7%
4 2
 
6.7%
3 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 8
24.2%
9 5
15.2%
2 4
12.1%
0 4
12.1%
1 3
 
9.1%
. 2
 
6.1%
8 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 8
24.2%
9 5
15.2%
2 4
12.1%
0 4
12.1%
1 3
 
9.1%
. 2
 
6.1%
8 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%

Unnamed: 230
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:58.446368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236563.755172556 420068.525879189
ValueCountFrequency (%)
236563.755172556 1
50.0%
420068.525879189 1
50.0%
2023-12-12T19:23:58.804488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7
21.2%
2 4
12.1%
6 4
12.1%
7 3
9.1%
8 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7
23.3%
2 4
13.3%
6 4
13.3%
7 3
10.0%
8 3
10.0%
3 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
9 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7
21.2%
2 4
12.1%
6 4
12.1%
7 3
9.1%
8 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7
21.2%
2 4
12.1%
6 4
12.1%
7 3
9.1%
8 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 231
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:58.998561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236563.737717529 420068.51198182
ValueCountFrequency (%)
236563.737717529 1
50.0%
420068.51198182 1
50.0%
2023-12-12T19:23:59.338450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.5%
7 4
12.5%
1 4
12.5%
3 3
9.4%
6 3
9.4%
5 3
9.4%
8 3
9.4%
. 2
6.2%
9 2
6.2%
0 2
6.2%
Other values (2) 2
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.8%
7 4
13.8%
1 4
13.8%
3 3
10.3%
6 3
10.3%
5 3
10.3%
8 3
10.3%
9 2
6.9%
0 2
6.9%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.5%
7 4
12.5%
1 4
12.5%
3 3
9.4%
6 3
9.4%
5 3
9.4%
8 3
9.4%
. 2
6.2%
9 2
6.2%
0 2
6.2%
Other values (2) 2
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.5%
7 4
12.5%
1 4
12.5%
3 3
9.4%
6 3
9.4%
5 3
9.4%
8 3
9.4%
. 2
6.2%
9 2
6.2%
0 2
6.2%
Other values (2) 2
6.2%

Unnamed: 232
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:59.513468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236543.036324316 420052.775937155
ValueCountFrequency (%)
236543.036324316 1
50.0%
420052.775937155 1
50.0%
2023-12-12T19:23:59.818216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
5 5
15.2%
2 4
12.1%
6 3
9.1%
4 3
9.1%
0 3
9.1%
7 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
5 5
16.7%
2 4
13.3%
6 3
10.0%
4 3
10.0%
0 3
10.0%
7 3
10.0%
1 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
5 5
15.2%
2 4
12.1%
6 3
9.1%
4 3
9.1%
0 3
9.1%
7 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
5 5
15.2%
2 4
12.1%
6 3
9.1%
4 3
9.1%
0 3
9.1%
7 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
1
 
3.0%

Unnamed: 233
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:23:59.975087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236533.243097718 420045.433543863
ValueCountFrequency (%)
236533.243097718 1
50.0%
420045.433543863 1
50.0%
2023-12-12T19:24:00.302490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
24.2%
4 5
15.2%
2 3
 
9.1%
5 3
 
9.1%
0 3
 
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
26.7%
4 5
16.7%
2 3
 
10.0%
5 3
 
10.0%
0 3
 
10.0%
6 2
 
6.7%
7 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
24.2%
4 5
15.2%
2 3
 
9.1%
5 3
 
9.1%
0 3
 
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
24.2%
4 5
15.2%
2 3
 
9.1%
5 3
 
9.1%
0 3
 
9.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 234
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:00.475751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236509.994547383 420028.340903029
ValueCountFrequency (%)
236509.994547383 1
50.0%
420028.340903029 1
50.0%
2023-12-12T19:24:00.777466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.2%
3 5
15.2%
9 5
15.2%
2 4
12.1%
4 4
12.1%
5 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
6 1
 
3.0%
7 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
3 5
16.7%
9 5
16.7%
2 4
13.3%
4 4
13.3%
5 2
 
6.7%
8 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.2%
3 5
15.2%
9 5
15.2%
2 4
12.1%
4 4
12.1%
5 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
6 1
 
3.0%
7 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
3 5
15.2%
9 5
15.2%
2 4
12.1%
4 4
12.1%
5 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
6 1
 
3.0%
7 1
 
3.0%

Unnamed: 235
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:00.989149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236480.762707852 420007.229769445
ValueCountFrequency (%)
236480.762707852 1
50.0%
420007.229769445 1
50.0%
2023-12-12T19:24:01.314942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
0 5
15.2%
7 5
15.2%
4 4
12.1%
6 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
3 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
0 5
16.7%
7 5
16.7%
4 4
13.3%
6 3
10.0%
8 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
0 5
15.2%
7 5
15.2%
4 4
12.1%
6 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
3 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
0 5
15.2%
7 5
15.2%
4 4
12.1%
6 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 2
 
6.1%
3 1
 
3.0%

Unnamed: 236
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:01.500277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236480.749213567 420007.220357803
ValueCountFrequency (%)
236480.749213567 1
50.0%
420007.220357803 1
50.0%
2023-12-12T19:24:01.843536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.2%
2 5
15.2%
3 4
12.1%
7 4
12.1%
4 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
2 5
16.7%
3 4
13.3%
7 4
13.3%
4 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
5 2
 
6.7%
9 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.2%
2 5
15.2%
3 4
12.1%
7 4
12.1%
4 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
2 5
15.2%
3 4
12.1%
7 4
12.1%
4 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
9 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 237
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:02.031082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236462.079238932 419994.650374452
ValueCountFrequency (%)
236462.079238932 1
50.0%
419994.650374452 1
50.0%
2023-12-12T19:24:02.357002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
9 5
15.2%
3 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
4 5
16.7%
9 5
16.7%
3 4
13.3%
6 3
10.0%
0 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
8 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
9 5
15.2%
3 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
4 5
15.2%
9 5
15.2%
3 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 238
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:02.563422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236462.07012279 419994.644380297
ValueCountFrequency (%)
236462.07012279 1
50.0%
419994.644380297 1
50.0%
2023-12-12T19:24:02.884392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
4 5
15.6%
9 5
15.6%
6 3
9.4%
0 3
9.4%
7 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
4 5
17.2%
9 5
17.2%
6 3
10.3%
0 3
10.3%
7 3
10.3%
3 2
 
6.9%
1 2
 
6.9%
8 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
4 5
15.6%
9 5
15.6%
6 3
9.4%
0 3
9.4%
7 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
4 5
15.6%
9 5
15.6%
6 3
9.4%
0 3
9.4%
7 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
1 2
 
6.2%
1
 
3.1%

Unnamed: 239
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:03.066903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236456.189024458 419990.868633447
ValueCountFrequency (%)
236456.189024458 1
50.0%
419990.868633447 1
50.0%
2023-12-12T19:24:03.379522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
6 4
12.1%
8 4
12.1%
9 4
12.1%
3 3
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
6 4
13.3%
8 4
13.3%
9 4
13.3%
3 3
10.0%
2 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
6 4
12.1%
8 4
12.1%
9 4
12.1%
3 3
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
6 4
12.1%
8 4
12.1%
9 4
12.1%
3 3
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 240
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:03.567399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236456.163641055 419990.853466211
ValueCountFrequency (%)
236456.163641055 1
50.0%
419990.853466211 1
50.0%
2023-12-12T19:24:04.459073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6
18.2%
1 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
9 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
20.0%
1 5
16.7%
4 4
13.3%
5 4
13.3%
3 3
10.0%
9 3
10.0%
2 2
 
6.7%
0 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6
18.2%
1 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
9 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6
18.2%
1 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
9 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
1
 
3.0%

Unnamed: 241
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:04.640806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236439.139343267 419981.353875993
ValueCountFrequency (%)
236439.139343267 1
50.0%
419981.353875993 1
50.0%
2023-12-12T19:24:04.979375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
24.2%
9 6
18.2%
4 3
 
9.1%
1 3
 
9.1%
2 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
26.7%
9 6
20.0%
4 3
 
10.0%
1 3
 
10.0%
2 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
8 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
24.2%
9 6
18.2%
4 3
 
9.1%
1 3
 
9.1%
2 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
24.2%
9 6
18.2%
4 3
 
9.1%
1 3
 
9.1%
2 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
5 2
 
6.1%

Unnamed: 242
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:05.176441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236422.304917651 419971.894086113
ValueCountFrequency (%)
236422.304917651 1
50.0%
419971.894086113 1
50.0%
2023-12-12T19:24:05.515399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.2%
4 4
12.1%
9 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.0%
4 4
13.3%
9 4
13.3%
2 3
10.0%
3 3
10.0%
6 3
10.0%
0 2
 
6.7%
7 2
 
6.7%
8 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.2%
4 4
12.1%
9 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.2%
4 4
12.1%
9 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 243
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:05.681290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236422.299392638 419971.891027185
ValueCountFrequency (%)
236422.299392638 1
50.0%
419971.891027185 1
50.0%
2023-12-12T19:24:05.967420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
9 6
18.2%
1 4
12.1%
3 3
9.1%
8 3
9.1%
6 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
9 6
20.0%
1 4
13.3%
3 3
10.0%
8 3
10.0%
6 2
 
6.7%
4 2
 
6.7%
7 2
 
6.7%
0 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
9 6
18.2%
1 4
12.1%
3 3
9.1%
8 3
9.1%
6 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
9 6
18.2%
1 4
12.1%
3 3
9.1%
8 3
9.1%
6 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 244
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:06.134192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236404.524528081 419962.196109215
ValueCountFrequency (%)
236404.524528081 1
50.0%
419962.196109215 1
50.0%
2023-12-12T19:24:06.420917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
4 4
12.1%
9 4
12.1%
6 3
9.1%
0 3
9.1%
5 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
3 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
1 5
16.7%
4 4
13.3%
9 4
13.3%
6 3
10.0%
0 3
10.0%
5 3
10.0%
8 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
4 4
12.1%
9 4
12.1%
6 3
9.1%
0 3
9.1%
5 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
3 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
4 4
12.1%
9 4
12.1%
6 3
9.1%
0 3
9.1%
5 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
3 1
 
3.0%

Unnamed: 245
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:06.591124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236404.503350109 419962.185204482
ValueCountFrequency (%)
236404.503350109 1
50.0%
419962.185204482 1
50.0%
2023-12-12T19:24:06.889477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5
15.2%
0 5
15.2%
2 4
12.1%
3 3
9.1%
5 3
9.1%
1 3
9.1%
9 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
16.7%
0 5
16.7%
2 4
13.3%
3 3
10.0%
5 3
10.0%
1 3
10.0%
9 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5
15.2%
0 5
15.2%
2 4
12.1%
3 3
9.1%
5 3
9.1%
1 3
9.1%
9 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5
15.2%
0 5
15.2%
2 4
12.1%
3 3
9.1%
5 3
9.1%
1 3
9.1%
9 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%

Unnamed: 246
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:07.067841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236387.013347921 419953.700279504
ValueCountFrequency (%)
236387.013347921 1
50.0%
419953.700279504 1
50.0%
2023-12-12T19:24:07.355653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
7 4
12.1%
0 4
12.1%
9 4
12.1%
2 3
9.1%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
7 4
13.3%
0 4
13.3%
9 4
13.3%
2 3
10.0%
1 3
10.0%
4 3
10.0%
5 2
 
6.7%
6 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
7 4
12.1%
0 4
12.1%
9 4
12.1%
2 3
9.1%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
7 4
12.1%
0 4
12.1%
9 4
12.1%
2 3
9.1%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 247
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:07.526547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236387.007998274 419953.697723301
ValueCountFrequency (%)
236387.007998274 1
50.0%
419953.697723301 1
50.0%
2023-12-12T19:24:07.809850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
7 5
15.2%
9 5
15.2%
2 3
9.1%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
7 5
16.7%
9 5
16.7%
2 3
10.0%
0 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
4 2
 
6.7%
1 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
7 5
15.2%
9 5
15.2%
2 3
9.1%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
7 5
15.2%
9 5
15.2%
2 3
9.1%
0 3
9.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 248
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:07.991832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236386.994794246 419953.691742179
ValueCountFrequency (%)
236386.994794246 1
50.0%
419953.691742179 1
50.0%
2023-12-12T19:24:08.313715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 7
21.2%
4 5
15.2%
6 4
12.1%
2 3
9.1%
3 3
9.1%
7 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 7
23.3%
4 5
16.7%
6 4
13.3%
2 3
10.0%
3 3
10.0%
7 3
10.0%
1 3
10.0%
8 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 7
21.2%
4 5
15.2%
6 4
12.1%
2 3
9.1%
3 3
9.1%
7 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 7
21.2%
4 5
15.2%
6 4
12.1%
2 3
9.1%
3 3
9.1%
7 3
9.1%
1 3
9.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%

Unnamed: 249
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:08.489818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236379.579726197 419950.461594436
ValueCountFrequency (%)
236379.579726197 1
50.0%
419950.461594436 1
50.0%
2023-12-12T19:24:08.767089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 6
18.2%
6 4
12.1%
7 4
12.1%
4 4
12.1%
3 3
9.1%
5 3
9.1%
1 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6
20.0%
6 4
13.3%
7 4
13.3%
4 4
13.3%
3 3
10.0%
5 3
10.0%
1 3
10.0%
2 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 6
18.2%
6 4
12.1%
7 4
12.1%
4 4
12.1%
3 3
9.1%
5 3
9.1%
1 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 6
18.2%
6 4
12.1%
7 4
12.1%
4 4
12.1%
3 3
9.1%
5 3
9.1%
1 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
1
 
3.0%

Unnamed: 250
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:08.957320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236379.569642638 419950.457332564
ValueCountFrequency (%)
236379.569642638 1
50.0%
419950.457332564 1
50.0%
2023-12-12T19:24:09.285697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
9 4
12.1%
5 4
12.1%
4 4
12.1%
2 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
6 5
16.7%
9 4
13.3%
5 4
13.3%
4 4
13.3%
2 3
10.0%
7 2
 
6.7%
8 1
 
3.3%
1 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
9 4
12.1%
5 4
12.1%
4 4
12.1%
2 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
9 4
12.1%
5 4
12.1%
4 4
12.1%
2 3
9.1%
7 2
 
6.1%
. 2
 
6.1%
8 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 251
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:09.473082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236358.279652957 419941.732445545
ValueCountFrequency (%)
236358.279652957 1
50.0%
419941.732445545 1
50.0%
2023-12-12T19:24:09.762559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6
18.2%
4 5
15.2%
2 4
12.1%
9 4
12.1%
3 3
9.1%
7 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
8 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6
20.0%
4 5
16.7%
2 4
13.3%
9 4
13.3%
3 3
10.0%
7 3
10.0%
6 2
 
6.7%
1 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6
18.2%
4 5
15.2%
2 4
12.1%
9 4
12.1%
3 3
9.1%
7 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
8 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6
18.2%
4 5
15.2%
2 4
12.1%
9 4
12.1%
3 3
9.1%
7 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
8 1
 
3.0%

Unnamed: 252
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:09.940403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236358.272658873 419941.729640659
ValueCountFrequency (%)
236358.272658873 1
50.0%
419941.729640659 1
50.0%
2023-12-12T19:24:10.256892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
12.1%
6 4
12.1%
9 4
12.1%
3 3
9.1%
5 3
9.1%
8 3
9.1%
7 3
9.1%
4 3
9.1%
. 2
6.1%
1 2
6.1%
Other values (2) 2
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
13.3%
6 4
13.3%
9 4
13.3%
3 3
10.0%
5 3
10.0%
8 3
10.0%
7 3
10.0%
4 3
10.0%
1 2
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
12.1%
6 4
12.1%
9 4
12.1%
3 3
9.1%
5 3
9.1%
8 3
9.1%
7 3
9.1%
4 3
9.1%
. 2
6.1%
1 2
6.1%
Other values (2) 2
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.1%
6 4
12.1%
9 4
12.1%
3 3
9.1%
5 3
9.1%
8 3
9.1%
7 3
9.1%
4 3
9.1%
. 2
6.1%
1 2
6.1%
Other values (2) 2
6.1%

Unnamed: 253
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:10.461053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236338.239507463 419933.87031409
ValueCountFrequency (%)
236338.239507463 1
50.0%
419933.87031409 1
50.0%
2023-12-12T19:24:10.826693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
25.0%
9 4
12.5%
0 3
 
9.4%
4 3
 
9.4%
2 2
 
6.2%
6 2
 
6.2%
8 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
1 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
27.6%
9 4
13.8%
0 3
 
10.3%
4 3
 
10.3%
2 2
 
6.9%
6 2
 
6.9%
8 2
 
6.9%
7 2
 
6.9%
1 2
 
6.9%
5 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
25.0%
9 4
12.5%
0 3
 
9.4%
4 3
 
9.4%
2 2
 
6.2%
6 2
 
6.2%
8 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
1 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
25.0%
9 4
12.5%
0 3
 
9.4%
4 3
 
9.4%
2 2
 
6.2%
6 2
 
6.2%
8 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
1 2
 
6.2%
Other values (2) 2
 
6.2%

Unnamed: 254
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:11.026311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236318.971206923 419926.141014384
ValueCountFrequency (%)
236318.971206923 1
50.0%
419926.141014384 1
50.0%
2023-12-12T19:24:11.415820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.2%
2 4
12.1%
3 4
12.1%
9 4
12.1%
4 4
12.1%
6 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.0%
2 4
13.3%
3 4
13.3%
9 4
13.3%
4 4
13.3%
6 3
10.0%
8 2
 
6.7%
0 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.2%
2 4
12.1%
3 4
12.1%
9 4
12.1%
4 4
12.1%
6 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.2%
2 4
12.1%
3 4
12.1%
9 4
12.1%
4 4
12.1%
6 3
9.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
7 1
 
3.0%

Unnamed: 255
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:11.626523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236318.956193518 419926.13527031
ValueCountFrequency (%)
236318.956193518 1
50.0%
419926.13527031 1
50.0%
2023-12-12T19:24:12.004580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.8%
3 5
15.6%
9 4
12.5%
2 3
9.4%
6 3
9.4%
5 3
9.4%
8 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
4 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.7%
3 5
17.2%
9 4
13.8%
2 3
10.3%
6 3
10.3%
5 3
10.3%
8 2
 
6.9%
4 1
 
3.4%
7 1
 
3.4%
0 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.8%
3 5
15.6%
9 4
12.5%
2 3
9.4%
6 3
9.4%
5 3
9.4%
8 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
4 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.8%
3 5
15.6%
9 4
12.5%
2 3
9.4%
6 3
9.4%
5 3
9.4%
8 2
 
6.2%
. 2
 
6.2%
1
 
3.1%
4 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 256
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:12.176667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236297.036107196 419918.150241773
ValueCountFrequency (%)
236297.036107196 1
50.0%
419918.150241773 1
50.0%
2023-12-12T19:24:12.532477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.2%
9 4
12.1%
7 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
0 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.0%
9 4
13.3%
7 4
13.3%
2 3
10.0%
3 3
10.0%
6 3
10.0%
0 3
10.0%
4 2
 
6.7%
8 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.2%
9 4
12.1%
7 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
0 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.2%
9 4
12.1%
7 4
12.1%
2 3
9.1%
3 3
9.1%
6 3
9.1%
0 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 257
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:12.736342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236297.02871331 419918.147613865
ValueCountFrequency (%)
236297.02871331 1
50.0%
419918.147613865 1
50.0%
2023-12-12T19:24:13.085095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.8%
3 4
12.5%
2 3
9.4%
6 3
9.4%
9 3
9.4%
7 3
9.4%
8 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
0 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.7%
3 4
13.8%
2 3
10.3%
6 3
10.3%
9 3
10.3%
7 3
10.3%
8 3
10.3%
4 2
 
6.9%
0 1
 
3.4%
5 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.8%
3 4
12.5%
2 3
9.4%
6 3
9.4%
9 3
9.4%
7 3
9.4%
8 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
0 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.8%
3 4
12.5%
2 3
9.4%
6 3
9.4%
9 3
9.4%
7 3
9.4%
8 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
0 1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 258
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:13.246591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236277.308820639 419911.312661572
ValueCountFrequency (%)
236277.308820639 1
50.0%
419911.312661572 1
50.0%
2023-12-12T19:24:13.582139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
3 4
12.1%
6 4
12.1%
7 3
9.1%
9 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
1 5
16.7%
3 4
13.3%
6 4
13.3%
7 3
10.0%
9 3
10.0%
0 2
 
6.7%
8 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
3 4
12.1%
6 4
12.1%
7 3
9.1%
9 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
3 4
12.1%
6 4
12.1%
7 3
9.1%
9 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
8 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 259
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:13.751575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236277.299584843 419911.309560882
ValueCountFrequency (%)
236277.299584843 1
50.0%
419911.309560882 1
50.0%
2023-12-12T19:24:14.068453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
8 4
12.1%
3 3
9.1%
4 3
9.1%
1 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
16.7%
2 4
13.3%
8 4
13.3%
3 3
10.0%
4 3
10.0%
1 3
10.0%
6 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
0 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
8 4
12.1%
3 3
9.1%
4 3
9.1%
1 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
15.2%
2 4
12.1%
8 4
12.1%
3 3
9.1%
4 3
9.1%
1 3
9.1%
6 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 260
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:14.264956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236277.29167959 419911.307064571
ValueCountFrequency (%)
236277.29167959 1
50.0%
419911.307064571 1
50.0%
2023-12-12T19:24:14.582076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.6%
9 5
15.6%
1 5
15.6%
2 3
9.4%
6 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
5 2
 
6.2%
4 2
 
6.2%
0 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
17.2%
9 5
17.2%
1 5
17.2%
2 3
10.3%
6 3
10.3%
3 2
 
6.9%
5 2
 
6.9%
4 2
 
6.9%
0 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.6%
9 5
15.6%
1 5
15.6%
2 3
9.4%
6 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
5 2
 
6.2%
4 2
 
6.2%
0 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.6%
9 5
15.6%
1 5
15.6%
2 3
9.4%
6 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
5 2
 
6.2%
4 2
 
6.2%
0 2
 
6.2%

Unnamed: 261
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:14.770460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236258.594760959 419905.572989192
ValueCountFrequency (%)
236258.594760959 1
50.0%
419905.572989192 1
50.0%
2023-12-12T19:24:15.095080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 8
24.2%
5 5
15.2%
2 4
12.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 8
26.7%
5 5
16.7%
2 4
13.3%
6 2
 
6.7%
8 2
 
6.7%
4 2
 
6.7%
7 2
 
6.7%
0 2
 
6.7%
1 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 8
24.2%
5 5
15.2%
2 4
12.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 8
24.2%
5 5
15.2%
2 4
12.1%
6 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 262
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:15.269389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236238.447759868 419899.113939485
ValueCountFrequency (%)
236238.447759868 1
50.0%
419899.113939485 1
50.0%
2023-12-12T19:24:15.563300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 6
18.2%
8 5
15.2%
3 4
12.1%
4 4
12.1%
1 3
9.1%
2 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6
20.0%
8 5
16.7%
3 4
13.3%
4 4
13.3%
1 3
10.0%
2 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 6
18.2%
8 5
15.2%
3 4
12.1%
4 4
12.1%
1 3
9.1%
2 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 6
18.2%
8 5
15.2%
3 4
12.1%
4 4
12.1%
1 3
9.1%
2 2
 
6.1%
6 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%

Unnamed: 263
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:15.727444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236238.440378017 419899.111635692
ValueCountFrequency (%)
236238.440378017 1
50.0%
419899.111635692 1
50.0%
2023-12-12T19:24:15.983608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5
15.2%
3 4
12.1%
9 4
12.1%
2 3
9.1%
6 3
9.1%
8 3
9.1%
4 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
16.7%
3 4
13.3%
9 4
13.3%
2 3
10.0%
6 3
10.0%
8 3
10.0%
4 3
10.0%
0 2
 
6.7%
7 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
15.2%
3 4
12.1%
9 4
12.1%
2 3
9.1%
6 3
9.1%
8 3
9.1%
4 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
15.2%
3 4
12.1%
9 4
12.1%
2 3
9.1%
6 3
9.1%
8 3
9.1%
4 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 264
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:16.169249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236216.060033593 419892.316446097
ValueCountFrequency (%)
236216.060033593 1
50.0%
419892.316446097 1
50.0%
2023-12-12T19:24:16.476259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
0 4
12.1%
9 4
12.1%
2 3
9.1%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
6 5
16.7%
0 4
13.3%
9 4
13.3%
2 3
10.0%
1 3
10.0%
4 3
10.0%
5 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
0 4
12.1%
9 4
12.1%
2 3
9.1%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
6 5
15.2%
0 4
12.1%
9 4
12.1%
2 3
9.1%
1 3
9.1%
4 3
9.1%
. 2
 
6.1%
5 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 265
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:16.644359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236204.597080364 419888.852061019
ValueCountFrequency (%)
236204.597080364 1
50.0%
419888.852061019 1
50.0%
2023-12-12T19:24:17.068556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
4 3
9.1%
9 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
16.7%
8 5
16.7%
2 3
10.0%
6 3
10.0%
4 3
10.0%
9 3
10.0%
1 3
10.0%
3 2
 
6.7%
5 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
4 3
9.1%
9 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
4 3
9.1%
9 3
9.1%
1 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 266
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:17.281353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236166.445594056 419876.913241312
ValueCountFrequency (%)
236166.445594056 1
50.0%
419876.913241312 1
50.0%
2023-12-12T19:24:17.640808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.2%
1 5
15.2%
4 5
15.2%
2 3
9.1%
3 3
9.1%
5 3
9.1%
9 3
9.1%
. 2
 
6.1%
0 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
16.7%
1 5
16.7%
4 5
16.7%
2 3
10.0%
3 3
10.0%
5 3
10.0%
9 3
10.0%
0 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.2%
1 5
15.2%
4 5
15.2%
2 3
9.1%
3 3
9.1%
5 3
9.1%
9 3
9.1%
. 2
 
6.1%
0 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.2%
1 5
15.2%
4 5
15.2%
2 3
9.1%
3 3
9.1%
5 3
9.1%
9 3
9.1%
. 2
 
6.1%
0 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 267
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:17.839958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236139.094734556 419868.207976677
ValueCountFrequency (%)
236139.094734556 1
50.0%
419868.207976677 1
50.0%
2023-12-12T19:24:18.226395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 5
15.2%
7 5
15.2%
9 4
12.1%
3 3
9.1%
4 3
9.1%
2 2
 
6.1%
1 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
16.7%
7 5
16.7%
9 4
13.3%
3 3
10.0%
4 3
10.0%
2 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
5 2
 
6.7%
8 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 5
15.2%
7 5
15.2%
9 4
12.1%
3 3
9.1%
4 3
9.1%
2 2
 
6.1%
1 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 5
15.2%
7 5
15.2%
9 4
12.1%
3 3
9.1%
4 3
9.1%
2 2
 
6.1%
1 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
5 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 268
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:18.455336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236099.644687266 419856.003017068
ValueCountFrequency (%)
236099.644687266 1
50.0%
419856.003017068 1
50.0%
2023-12-12T19:24:18.916568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
21.2%
0 5
15.2%
9 3
9.1%
4 3
9.1%
8 3
9.1%
2 2
 
6.1%
3 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
23.3%
0 5
16.7%
9 3
10.0%
4 3
10.0%
8 3
10.0%
2 2
 
6.7%
3 2
 
6.7%
7 2
 
6.7%
1 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
21.2%
0 5
15.2%
9 3
9.1%
4 3
9.1%
8 3
9.1%
2 2
 
6.1%
3 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
21.2%
0 5
15.2%
9 3
9.1%
4 3
9.1%
8 3
9.1%
2 2
 
6.1%
3 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 269
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:19.112886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236062.554496954 419844.212858411
ValueCountFrequency (%)
236062.554496954 1
50.0%
419844.212858411 1
50.0%
2023-12-12T19:24:19.436882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7
21.2%
2 4
12.1%
5 4
12.1%
1 4
12.1%
6 3
9.1%
9 3
9.1%
8 3
9.1%
. 2
 
6.1%
3 1
 
3.0%
0 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7
23.3%
2 4
13.3%
5 4
13.3%
1 4
13.3%
6 3
10.0%
9 3
10.0%
8 3
10.0%
3 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7
21.2%
2 4
12.1%
5 4
12.1%
1 4
12.1%
6 3
9.1%
9 3
9.1%
8 3
9.1%
. 2
 
6.1%
3 1
 
3.0%
0 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7
21.2%
2 4
12.1%
5 4
12.1%
1 4
12.1%
6 3
9.1%
9 3
9.1%
8 3
9.1%
. 2
 
6.1%
3 1
 
3.0%
0 1
 
3.0%

Unnamed: 270
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:19.621794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236031.172670563 419834.517353786
ValueCountFrequency (%)
236031.172670563 1
50.0%
419834.517353786 1
50.0%
2023-12-12T19:24:19.931882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
6 4
12.1%
1 4
12.1%
7 4
12.1%
5 3
9.1%
2 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
6 4
13.3%
1 4
13.3%
7 4
13.3%
5 3
10.0%
2 2
 
6.7%
0 2
 
6.7%
4 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
6 4
12.1%
1 4
12.1%
7 4
12.1%
5 3
9.1%
2 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
6 4
12.1%
1 4
12.1%
7 4
12.1%
5 3
9.1%
2 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
8 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 271
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:20.093597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236031.167249542 419834.515712527
ValueCountFrequency (%)
236031.167249542 1
50.0%
419834.515712527 1
50.0%
2023-12-12T19:24:20.352924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
7 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
1 5
16.7%
4 4
13.3%
5 4
13.3%
3 3
10.0%
7 3
10.0%
6 2
 
6.7%
9 2
 
6.7%
0 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
7 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
1 5
15.2%
4 4
12.1%
5 4
12.1%
3 3
9.1%
7 3
9.1%
6 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 272
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:20.507831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236012.437164686 419828.960633054
ValueCountFrequency (%)
236012.437164686 1
50.0%
419828.960633054 1
50.0%
2023-12-12T19:24:20.743581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6
18.2%
3 4
12.1%
4 4
12.1%
2 3
9.1%
0 3
9.1%
1 3
9.1%
8 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
20.0%
3 4
13.3%
4 4
13.3%
2 3
10.0%
0 3
10.0%
1 3
10.0%
8 3
10.0%
9 2
 
6.7%
7 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6
18.2%
3 4
12.1%
4 4
12.1%
2 3
9.1%
0 3
9.1%
1 3
9.1%
8 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6
18.2%
3 4
12.1%
4 4
12.1%
2 3
9.1%
0 3
9.1%
1 3
9.1%
8 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 273
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:20.871867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row236012.394711527 419828.950038982
ValueCountFrequency (%)
236012.394711527 1
50.0%
419828.950038982 1
50.0%
2023-12-12T19:24:21.111031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
1 4
12.1%
9 4
12.1%
8 4
12.1%
3 3
9.1%
0 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
1 4
13.3%
9 4
13.3%
8 4
13.3%
3 3
10.0%
0 3
10.0%
4 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
1 4
12.1%
9 4
12.1%
8 4
12.1%
3 3
9.1%
0 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
1 4
12.1%
9 4
12.1%
8 4
12.1%
3 3
9.1%
0 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%
5 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 274
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:21.239371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235993.379787462 419825.080007946
ValueCountFrequency (%)
235993.379787462 1
50.0%
419825.080007946 1
50.0%
2023-12-12T19:24:21.480356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
15.2%
7 4
12.1%
0 4
12.1%
2 3
9.1%
3 3
9.1%
8 3
9.1%
4 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
16.7%
7 4
13.3%
0 4
13.3%
2 3
10.0%
3 3
10.0%
8 3
10.0%
4 3
10.0%
5 2
 
6.7%
6 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.2%
7 4
12.1%
0 4
12.1%
2 3
9.1%
3 3
9.1%
8 3
9.1%
4 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
15.2%
7 4
12.1%
0 4
12.1%
2 3
9.1%
3 3
9.1%
8 3
9.1%
4 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 275
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:21.636090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235993.373759489 419825.07881962
ValueCountFrequency (%)
235993.373759489 1
50.0%
419825.07881962 1
50.0%
2023-12-12T19:24:21.904922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 6
18.8%
3 4
12.5%
8 4
12.5%
2 3
9.4%
5 3
9.4%
7 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6
20.7%
3 4
13.8%
8 4
13.8%
2 3
10.3%
5 3
10.3%
7 3
10.3%
4 2
 
6.9%
1 2
 
6.9%
0 1
 
3.4%
6 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 6
18.8%
3 4
12.5%
8 4
12.5%
2 3
9.4%
5 3
9.4%
7 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%
1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 6
18.8%
3 4
12.5%
8 4
12.5%
2 3
9.4%
5 3
9.4%
7 3
9.4%
. 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%
1
 
3.1%
Other values (2) 2
 
6.2%

Unnamed: 276
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:22.053971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235993.342570733 419825.073885112
ValueCountFrequency (%)
235993.342570733 1
50.0%
419825.073885112 1
50.0%
2023-12-12T19:24:22.326958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
2 4
12.1%
5 4
12.1%
9 3
9.1%
7 3
9.1%
1 3
9.1%
8 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
2 4
13.3%
5 4
13.3%
9 3
10.0%
7 3
10.0%
1 3
10.0%
8 3
10.0%
4 2
 
6.7%
0 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
2 4
12.1%
5 4
12.1%
9 3
9.1%
7 3
9.1%
1 3
9.1%
8 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
2 4
12.1%
5 4
12.1%
9 3
9.1%
7 3
9.1%
1 3
9.1%
8 3
9.1%
. 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%

Unnamed: 277
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:22.490335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235966.397591966 419821.679031904
ValueCountFrequency (%)
235966.397591966 1
50.0%
419821.679031904 1
50.0%
2023-12-12T19:24:22.762916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 7
21.2%
6 5
15.2%
1 4
12.1%
3 3
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 7
23.3%
6 5
16.7%
1 4
13.3%
3 3
10.0%
2 2
 
6.7%
5 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
0 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 7
21.2%
6 5
15.2%
1 4
12.1%
3 3
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 7
21.2%
6 5
15.2%
1 4
12.1%
3 3
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 278
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:22.895633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235966.385479329 419821.677655594
ValueCountFrequency (%)
235966.385479329 1
50.0%
419821.677655594 1
50.0%
2023-12-12T19:24:23.146458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5
15.2%
9 5
15.2%
6 4
12.1%
2 3
9.1%
3 3
9.1%
4 3
9.1%
7 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5
16.7%
9 5
16.7%
6 4
13.3%
2 3
10.0%
3 3
10.0%
4 3
10.0%
7 3
10.0%
8 2
 
6.7%
1 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5
15.2%
9 5
15.2%
6 4
12.1%
2 3
9.1%
3 3
9.1%
4 3
9.1%
7 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5
15.2%
9 5
15.2%
6 4
12.1%
2 3
9.1%
3 3
9.1%
4 3
9.1%
7 3
9.1%
. 2
 
6.1%
8 2
 
6.1%
1 2
 
6.1%

Unnamed: 279
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:23.320089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235955.47690642 419820.572680023
ValueCountFrequency (%)
235955.47690642 1
50.0%
419820.572680023 1
50.0%
2023-12-12T19:24:23.583589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.6%
5 4
12.5%
0 4
12.5%
9 3
9.4%
4 3
9.4%
6 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
8 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
17.2%
5 4
13.8%
0 4
13.8%
9 3
10.3%
4 3
10.3%
6 3
10.3%
3 2
 
6.9%
7 2
 
6.9%
8 2
 
6.9%
1 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.6%
5 4
12.5%
0 4
12.5%
9 3
9.4%
4 3
9.4%
6 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
8 2
 
6.2%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.6%
5 4
12.5%
0 4
12.5%
9 3
9.4%
4 3
9.4%
6 3
9.4%
3 2
 
6.2%
. 2
 
6.2%
7 2
 
6.2%
8 2
 
6.2%
Other values (2) 2
 
6.2%

Unnamed: 280
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:23.731064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235913.765140902 419816.113103917
ValueCountFrequency (%)
235913.765140902 1
50.0%
419816.113103917 1
50.0%
2023-12-12T19:24:24.014406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
24.2%
3 4
12.1%
9 4
12.1%
0 3
 
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
6 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
26.7%
3 4
13.3%
9 4
13.3%
0 3
 
10.0%
2 2
 
6.7%
5 2
 
6.7%
7 2
 
6.7%
6 2
 
6.7%
4 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
24.2%
3 4
12.1%
9 4
12.1%
0 3
 
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
6 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
24.2%
3 4
12.1%
9 4
12.1%
0 3
 
9.1%
2 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
6 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 281
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:24.174919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235893.747584015 419813.822442973
ValueCountFrequency (%)
235893.747584015 1
50.0%
419813.822442973 1
50.0%
2023-12-12T19:24:24.506097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5
15.2%
2 4
12.1%
3 4
12.1%
8 4
12.1%
5 3
9.1%
9 3
9.1%
7 3
9.1%
1 3
9.1%
. 2
 
6.1%
0 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
16.7%
2 4
13.3%
3 4
13.3%
8 4
13.3%
5 3
10.0%
9 3
10.0%
7 3
10.0%
1 3
10.0%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5
15.2%
2 4
12.1%
3 4
12.1%
8 4
12.1%
5 3
9.1%
9 3
9.1%
7 3
9.1%
1 3
9.1%
. 2
 
6.1%
0 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5
15.2%
2 4
12.1%
3 4
12.1%
8 4
12.1%
5 3
9.1%
9 3
9.1%
7 3
9.1%
1 3
9.1%
. 2
 
6.1%
0 1
 
3.0%

Unnamed: 282
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:24.717248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235881.024247279 419812.3291183
ValueCountFrequency (%)
235881.024247279 1
50.0%
419812.3291183 1
50.0%
2023-12-12T19:24:25.498646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
19.4%
1 5
16.1%
8 4
12.9%
3 3
9.7%
4 3
9.7%
9 3
9.7%
. 2
 
6.5%
7 2
 
6.5%
5 1
 
3.2%
0 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
90.3%
Other Punctuation 2
 
6.5%
Space Separator 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
21.4%
1 5
17.9%
8 4
14.3%
3 3
10.7%
4 3
10.7%
9 3
10.7%
7 2
 
7.1%
5 1
 
3.6%
0 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
19.4%
1 5
16.1%
8 4
12.9%
3 3
9.7%
4 3
9.7%
9 3
9.7%
. 2
 
6.5%
7 2
 
6.5%
5 1
 
3.2%
0 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
19.4%
1 5
16.1%
8 4
12.9%
3 3
9.7%
4 3
9.7%
9 3
9.7%
. 2
 
6.5%
7 2
 
6.5%
5 1
 
3.2%
0 1
 
3.2%

Unnamed: 283
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:25.659182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235877.578915107 419811.841986904
ValueCountFrequency (%)
235877.578915107 1
50.0%
419811.841986904 1
50.0%
2023-12-12T19:24:25.963136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
18.2%
8 5
15.2%
7 4
12.1%
9 4
12.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
2 1
 
3.0%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
20.0%
8 5
16.7%
7 4
13.3%
9 4
13.3%
5 3
10.0%
4 3
10.0%
0 2
 
6.7%
2 1
 
3.3%
3 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
18.2%
8 5
15.2%
7 4
12.1%
9 4
12.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
2 1
 
3.0%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
18.2%
8 5
15.2%
7 4
12.1%
9 4
12.1%
5 3
9.1%
4 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
2 1
 
3.0%
3 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 284
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:26.123360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235853.887579256 419808.416782343
ValueCountFrequency (%)
235853.887579256 1
50.0%
419808.416782343 1
50.0%
2023-12-12T19:24:26.440549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 6
18.2%
3 4
12.1%
5 4
12.1%
2 3
9.1%
7 3
9.1%
4 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
6 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 6
20.0%
3 4
13.3%
5 4
13.3%
2 3
10.0%
7 3
10.0%
4 3
10.0%
9 2
 
6.7%
6 2
 
6.7%
1 2
 
6.7%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 6
18.2%
3 4
12.1%
5 4
12.1%
2 3
9.1%
7 3
9.1%
4 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
6 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 6
18.2%
3 4
12.1%
5 4
12.1%
2 3
9.1%
7 3
9.1%
4 3
9.1%
. 2
 
6.1%
9 2
 
6.1%
6 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 285
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:26.620790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235844.490261167 419806.632108766
ValueCountFrequency (%)
235844.490261167 1
50.0%
419806.632108766 1
50.0%
2023-12-12T19:24:26.979886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6
18.2%
4 4
12.1%
1 4
12.1%
2 3
9.1%
8 3
9.1%
0 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
20.0%
4 4
13.3%
1 4
13.3%
2 3
10.0%
8 3
10.0%
0 3
10.0%
3 2
 
6.7%
9 2
 
6.7%
7 2
 
6.7%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6
18.2%
4 4
12.1%
1 4
12.1%
2 3
9.1%
8 3
9.1%
0 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6
18.2%
4 4
12.1%
1 4
12.1%
2 3
9.1%
8 3
9.1%
0 3
9.1%
3 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 286
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:27.173489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235841.776758557 419805.921417818
ValueCountFrequency (%)
235841.776758557 1
50.0%
419805.921417818 1
50.0%
2023-12-12T19:24:27.499647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5
15.2%
8 5
15.2%
1 5
15.2%
7 5
15.2%
4 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
3 1
 
3.0%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5
16.7%
8 5
16.7%
1 5
16.7%
7 5
16.7%
4 3
10.0%
2 2
 
6.7%
9 2
 
6.7%
3 1
 
3.3%
6 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5
15.2%
8 5
15.2%
1 5
15.2%
7 5
15.2%
4 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
3 1
 
3.0%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5
15.2%
8 5
15.2%
1 5
15.2%
7 5
15.2%
4 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
3 1
 
3.0%
6 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 287
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:27.680069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235841.757420461 419805.916761976
ValueCountFrequency (%)
235841.757420461 1
50.0%
419805.916761976 1
50.0%
2023-12-12T19:24:28.033087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5
15.2%
4 4
12.1%
7 4
12.1%
6 4
12.1%
5 3
9.1%
9 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
16.7%
4 4
13.3%
7 4
13.3%
6 4
13.3%
5 3
10.0%
9 3
10.0%
2 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
3 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
15.2%
4 4
12.1%
7 4
12.1%
6 4
12.1%
5 3
9.1%
9 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
15.2%
4 4
12.1%
7 4
12.1%
6 4
12.1%
5 3
9.1%
9 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 288
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:28.219841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235824.449831594 419802.112337614
ValueCountFrequency (%)
235824.449831594 1
50.0%
419802.112337614 1
50.0%
2023-12-12T19:24:28.532861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
3 4
12.1%
8 3
9.1%
9 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
1 5
16.7%
2 4
13.3%
3 4
13.3%
8 3
10.0%
9 3
10.0%
5 2
 
6.7%
0 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
3 4
12.1%
8 3
9.1%
9 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
1 5
15.2%
2 4
12.1%
3 4
12.1%
8 3
9.1%
9 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 289
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:28.708436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235817.464069223 419800.500481308
ValueCountFrequency (%)
235817.464069223 1
50.0%
419800.500481308 1
50.0%
2023-12-12T19:24:28.991213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
18.2%
8 4
12.1%
4 4
12.1%
2 3
9.1%
3 3
9.1%
1 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
8 4
13.3%
4 4
13.3%
2 3
10.0%
3 3
10.0%
1 3
10.0%
5 2
 
6.7%
6 2
 
6.7%
9 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
18.2%
8 4
12.1%
4 4
12.1%
2 3
9.1%
3 3
9.1%
1 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
8 4
12.1%
4 4
12.1%
2 3
9.1%
3 3
9.1%
1 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
9 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 290
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:29.137938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235803.119698188 419796.46625042
ValueCountFrequency (%)
235803.119698188 1
50.0%
419796.46625042 1
50.0%
2023-12-12T19:24:29.419935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 4
12.5%
1 4
12.5%
9 4
12.5%
6 4
12.5%
2 3
9.4%
4 3
9.4%
3 2
6.2%
5 2
6.2%
0 2
6.2%
. 2
6.2%
Other values (2) 2
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 4
13.8%
1 4
13.8%
9 4
13.8%
6 4
13.8%
2 3
10.3%
4 3
10.3%
3 2
6.9%
5 2
6.9%
0 2
6.9%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 4
12.5%
1 4
12.5%
9 4
12.5%
6 4
12.5%
2 3
9.4%
4 3
9.4%
3 2
6.2%
5 2
6.2%
0 2
6.2%
. 2
6.2%
Other values (2) 2
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 4
12.5%
1 4
12.5%
9 4
12.5%
6 4
12.5%
2 3
9.4%
4 3
9.4%
3 2
6.2%
5 2
6.2%
0 2
6.2%
. 2
6.2%
Other values (2) 2
6.2%

Unnamed: 291
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:29.596960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235771.129192907 419786.124334937
ValueCountFrequency (%)
235771.129192907 1
50.0%
419786.124334937 1
50.0%
2023-12-12T19:24:29.971316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
9 5
15.2%
2 4
12.1%
3 4
12.1%
4 3
9.1%
. 2
 
6.1%
5 1
 
3.0%
0 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
1 5
16.7%
9 5
16.7%
2 4
13.3%
3 4
13.3%
4 3
10.0%
5 1
 
3.3%
0 1
 
3.3%
8 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
9 5
15.2%
2 4
12.1%
3 4
12.1%
4 3
9.1%
. 2
 
6.1%
5 1
 
3.0%
0 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
9 5
15.2%
2 4
12.1%
3 4
12.1%
4 3
9.1%
. 2
 
6.1%
5 1
 
3.0%
0 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 292
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:30.125285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235737.949446586 419775.349570027
ValueCountFrequency (%)
235737.949446586 1
50.0%
419775.349570027 1
50.0%
2023-12-12T19:24:30.422537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
18.2%
4 5
15.2%
5 4
12.1%
9 4
12.1%
3 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
0 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
20.0%
4 5
16.7%
5 4
13.3%
9 4
13.3%
3 3
10.0%
2 2
 
6.7%
6 2
 
6.7%
0 2
 
6.7%
8 1
 
3.3%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
18.2%
4 5
15.2%
5 4
12.1%
9 4
12.1%
3 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
0 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
18.2%
4 5
15.2%
5 4
12.1%
9 4
12.1%
3 3
9.1%
2 2
 
6.1%
. 2
 
6.1%
6 2
 
6.1%
0 2
 
6.1%
8 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 293
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:30.602301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235737.943918748 419775.347810304
ValueCountFrequency (%)
235737.943918748 1
50.0%
419775.347810304 1
50.0%
2023-12-12T19:24:30.956291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
18.2%
3 5
15.2%
4 5
15.2%
9 3
9.1%
1 3
9.1%
8 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
2 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
20.0%
3 5
16.7%
4 5
16.7%
9 3
10.0%
1 3
10.0%
8 3
10.0%
5 2
 
6.7%
0 2
 
6.7%
2 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
18.2%
3 5
15.2%
4 5
15.2%
9 3
9.1%
1 3
9.1%
8 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
2 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
18.2%
3 5
15.2%
4 5
15.2%
9 3
9.1%
1 3
9.1%
8 3
9.1%
5 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
2 1
 
3.0%

Unnamed: 294
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:31.135821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235727.818000295 419772.188920285
ValueCountFrequency (%)
235727.818000295 1
50.0%
419772.188920285 1
50.0%
2023-12-12T19:24:31.470099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
18.2%
8 5
15.2%
7 4
12.1%
0 4
12.1%
5 3
9.1%
1 3
9.1%
9 3
9.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
20.0%
8 5
16.7%
7 4
13.3%
0 4
13.3%
5 3
10.0%
1 3
10.0%
9 3
10.0%
3 1
 
3.3%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
18.2%
8 5
15.2%
7 4
12.1%
0 4
12.1%
5 3
9.1%
1 3
9.1%
9 3
9.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
18.2%
8 5
15.2%
7 4
12.1%
0 4
12.1%
5 3
9.1%
1 3
9.1%
9 3
9.1%
. 2
 
6.1%
3 1
 
3.0%
1
 
3.0%

Unnamed: 295
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:31.668825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235704.361804896 419764.430255634
ValueCountFrequency (%)
235704.361804896 1
50.0%
419764.430255634 1
50.0%
2023-12-12T19:24:32.028224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6
18.2%
3 4
12.1%
6 4
12.1%
5 3
9.1%
0 3
9.1%
2 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
20.0%
3 4
13.3%
6 4
13.3%
5 3
10.0%
0 3
10.0%
2 2
 
6.7%
7 2
 
6.7%
1 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6
18.2%
3 4
12.1%
6 4
12.1%
5 3
9.1%
0 3
9.1%
2 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6
18.2%
3 4
12.1%
6 4
12.1%
5 3
9.1%
0 3
9.1%
2 2
 
6.1%
7 2
 
6.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
Other values (2) 3
9.1%

Unnamed: 296
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:32.235615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235681.589963403 419756.934701452
ValueCountFrequency (%)
235681.589963403 1
50.0%
419756.934701452 1
50.0%
2023-12-12T19:24:32.542526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
6 3
9.1%
1 3
9.1%
2 2
6.1%
8 2
6.1%
. 2
6.1%
0 2
6.1%
Other values (2) 3
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4
13.3%
5 4
13.3%
9 4
13.3%
4 4
13.3%
6 3
10.0%
1 3
10.0%
2 2
6.7%
8 2
6.7%
0 2
6.7%
7 2
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
6 3
9.1%
1 3
9.1%
2 2
6.1%
8 2
6.1%
. 2
6.1%
0 2
6.1%
Other values (2) 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
6 3
9.1%
1 3
9.1%
2 2
6.1%
8 2
6.1%
. 2
6.1%
0 2
6.1%
Other values (2) 3
9.1%

Unnamed: 297
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:32.751009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235663.093842512 419750.939257263
ValueCountFrequency (%)
235663.093842512 1
50.0%
419750.939257263 1
50.0%
2023-12-12T19:24:33.116753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
5 4
12.1%
9 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
16.7%
3 5
16.7%
5 4
13.3%
9 4
13.3%
6 3
10.0%
0 2
 
6.7%
4 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
5 4
12.1%
9 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
15.2%
3 5
15.2%
5 4
12.1%
9 4
12.1%
6 3
9.1%
. 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 298
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:33.316634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235640.819669698 419743.759609918
ValueCountFrequency (%)
235640.819669698 1
50.0%
419743.759609918 1
50.0%
2023-12-12T19:24:33.649356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 7
21.2%
6 5
15.2%
4 3
9.1%
8 3
9.1%
1 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 7
23.3%
6 5
16.7%
4 3
10.0%
8 3
10.0%
1 3
10.0%
3 2
 
6.7%
5 2
 
6.7%
0 2
 
6.7%
7 2
 
6.7%
2 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 7
21.2%
6 5
15.2%
4 3
9.1%
8 3
9.1%
1 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 7
21.2%
6 5
15.2%
4 3
9.1%
8 3
9.1%
1 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
0 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 299
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:33.818027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235619.19953435 419736.669477714
ValueCountFrequency (%)
235619.19953435 1
50.0%
419736.669477714 1
50.0%
2023-12-12T19:24:34.110635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
15.6%
3 4
12.5%
6 4
12.5%
1 4
12.5%
4 4
12.5%
7 4
12.5%
5 3
9.4%
. 2
 
6.2%
2 1
 
3.1%
1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5
17.2%
3 4
13.8%
6 4
13.8%
1 4
13.8%
4 4
13.8%
7 4
13.8%
5 3
10.3%
2 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.6%
3 4
12.5%
6 4
12.5%
1 4
12.5%
4 4
12.5%
7 4
12.5%
5 3
9.4%
. 2
 
6.2%
2 1
 
3.1%
1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
15.6%
3 4
12.5%
6 4
12.5%
1 4
12.5%
4 4
12.5%
7 4
12.5%
5 3
9.4%
. 2
 
6.2%
2 1
 
3.1%
1
 
3.1%

Unnamed: 300
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:34.316305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235601.572603769 419731.003859924
ValueCountFrequency (%)
235601.572603769 1
50.0%
419731.003859924 1
50.0%
2023-12-12T19:24:34.699453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4
12.1%
0 4
12.1%
9 4
12.1%
2 3
9.1%
5 3
9.1%
6 3
9.1%
1 3
9.1%
7 3
9.1%
. 2
6.1%
4 2
6.1%
Other values (2) 2
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4
13.3%
0 4
13.3%
9 4
13.3%
2 3
10.0%
5 3
10.0%
6 3
10.0%
1 3
10.0%
7 3
10.0%
4 2
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4
12.1%
0 4
12.1%
9 4
12.1%
2 3
9.1%
5 3
9.1%
6 3
9.1%
1 3
9.1%
7 3
9.1%
. 2
6.1%
4 2
6.1%
Other values (2) 2
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4
12.1%
0 4
12.1%
9 4
12.1%
2 3
9.1%
5 3
9.1%
6 3
9.1%
1 3
9.1%
7 3
9.1%
. 2
6.1%
4 2
6.1%
Other values (2) 2
6.1%

Unnamed: 301
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:34.895694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235593.855903111 419728.539904371
ValueCountFrequency (%)
235593.855903111 1
50.0%
419728.539904371 1
50.0%
2023-12-12T19:24:35.225666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
5 5
15.2%
9 5
15.2%
1 5
15.2%
2 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
5 5
16.7%
9 5
16.7%
1 5
16.7%
2 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
4 2
 
6.7%
7 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
5 5
15.2%
9 5
15.2%
1 5
15.2%
2 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
5 5
15.2%
9 5
15.2%
1 5
15.2%
2 2
 
6.1%
. 2
 
6.1%
8 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
7 2
 
6.1%

Unnamed: 302
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:35.415329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235592.862594901 419728.205622332
ValueCountFrequency (%)
235592.862594901 1
50.0%
419728.205622332 1
50.0%
2023-12-12T19:24:35.723628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
24.2%
5 4
12.1%
9 4
12.1%
3 3
 
9.1%
. 2
 
6.1%
8 2
 
6.1%
6 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
5 4
13.3%
9 4
13.3%
3 3
 
10.0%
8 2
 
6.7%
6 2
 
6.7%
4 2
 
6.7%
0 2
 
6.7%
1 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
24.2%
5 4
12.1%
9 4
12.1%
3 3
 
9.1%
. 2
 
6.1%
8 2
 
6.1%
6 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
24.2%
5 4
12.1%
9 4
12.1%
3 3
 
9.1%
. 2
 
6.1%
8 2
 
6.1%
6 2
 
6.1%
4 2
 
6.1%
0 2
 
6.1%
1 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 303
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:35.916886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235524.711761037 419705.876915926
ValueCountFrequency (%)
235524.711761037 1
50.0%
419705.876915926 1
50.0%
2023-12-12T19:24:36.290599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
5 4
12.1%
2 3
9.1%
6 3
9.1%
9 3
9.1%
3 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
16.7%
1 5
16.7%
5 4
13.3%
2 3
10.0%
6 3
10.0%
9 3
10.0%
3 2
 
6.7%
4 2
 
6.7%
0 2
 
6.7%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
5 4
12.1%
2 3
9.1%
6 3
9.1%
9 3
9.1%
3 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
15.2%
1 5
15.2%
5 4
12.1%
2 3
9.1%
6 3
9.1%
9 3
9.1%
3 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 304
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:36.496021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235418.082304519 419670.882121222
ValueCountFrequency (%)
235418.082304519 1
50.0%
419670.882121222 1
50.0%
2023-12-12T19:24:36.821773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
21.2%
1 5
15.2%
8 4
12.1%
4 3
9.1%
0 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
23.3%
1 5
16.7%
8 4
13.3%
4 3
10.0%
0 3
10.0%
3 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
21.2%
1 5
15.2%
8 4
12.1%
4 3
9.1%
0 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
21.2%
1 5
15.2%
8 4
12.1%
4 3
9.1%
0 3
9.1%
3 2
 
6.1%
5 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 305
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:36.998791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235395.32680038 419661.744708045
ValueCountFrequency (%)
235395.32680038 1
50.0%
419661.744708045 1
50.0%
2023-12-12T19:24:37.304084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4
12.5%
0 4
12.5%
4 4
12.5%
5 3
9.4%
6 3
9.4%
8 3
9.4%
2 2
6.2%
9 2
6.2%
. 2
6.2%
1 2
6.2%
Other values (2) 3
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
90.6%
Other Punctuation 2
 
6.2%
Space Separator 1
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4
13.8%
0 4
13.8%
4 4
13.8%
5 3
10.3%
6 3
10.3%
8 3
10.3%
2 2
6.9%
9 2
6.9%
1 2
6.9%
7 2
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4
12.5%
0 4
12.5%
4 4
12.5%
5 3
9.4%
6 3
9.4%
8 3
9.4%
2 2
6.2%
9 2
6.2%
. 2
6.2%
1 2
6.2%
Other values (2) 3
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4
12.5%
0 4
12.5%
4 4
12.5%
5 3
9.4%
6 3
9.4%
8 3
9.4%
2 2
6.2%
9 2
6.2%
. 2
6.2%
1 2
6.2%
Other values (2) 3
9.4%

Unnamed: 306
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:37.471587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235384.931506268 419655.830785338
ValueCountFrequency (%)
235384.931506268 1
50.0%
419655.830785338 1
50.0%
2023-12-12T19:24:37.763439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
5 5
15.2%
8 5
15.2%
6 3
9.1%
2 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
5 5
16.7%
8 5
16.7%
6 3
10.0%
2 2
 
6.7%
4 2
 
6.7%
9 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
5 5
15.2%
8 5
15.2%
6 3
9.1%
2 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
5 5
15.2%
8 5
15.2%
6 3
9.1%
2 2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
0 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 307
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:37.915324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235372.912962885 419648.303455388
ValueCountFrequency (%)
235372.912962885 1
50.0%
419648.303455388 1
50.0%
2023-12-12T19:24:38.181434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
8 5
15.2%
2 4
12.1%
5 4
12.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
6 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
8 5
16.7%
2 4
13.3%
5 4
13.3%
9 3
10.0%
4 3
10.0%
1 2
 
6.7%
6 2
 
6.7%
7 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
8 5
15.2%
2 4
12.1%
5 4
12.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
6 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
8 5
15.2%
2 4
12.1%
5 4
12.1%
9 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
6 2
 
6.1%
7 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 308
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:38.316015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235358.799006903 419638.365297304
ValueCountFrequency (%)
235358.799006903 1
50.0%
419638.365297304 1
50.0%
2023-12-12T19:24:38.582922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 6
18.2%
9 5
15.2%
0 4
12.1%
5 3
9.1%
6 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 6
20.0%
9 5
16.7%
0 4
13.3%
5 3
10.0%
6 3
10.0%
2 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
1 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 6
18.2%
9 5
15.2%
0 4
12.1%
5 3
9.1%
6 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 6
18.2%
9 5
15.2%
0 4
12.1%
5 3
9.1%
6 3
9.1%
2 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
Other values (2) 2
 
6.1%

Unnamed: 309
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:38.738165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235358.779055145 419638.351953175
ValueCountFrequency (%)
235358.779055145 1
50.0%
419638.351953175 1
50.0%
2023-12-12T19:24:39.003241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8
24.2%
3 5
15.2%
1 4
12.1%
7 3
 
9.1%
9 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
2 1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8
26.7%
3 5
16.7%
1 4
13.3%
7 3
 
10.0%
9 3
 
10.0%
8 2
 
6.7%
4 2
 
6.7%
2 1
 
3.3%
0 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8
24.2%
3 5
15.2%
1 4
12.1%
7 3
 
9.1%
9 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
2 1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8
24.2%
3 5
15.2%
1 4
12.1%
7 3
 
9.1%
9 3
 
9.1%
8 2
 
6.1%
. 2
 
6.1%
4 2
 
6.1%
2 1
 
3.0%
0 1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 310
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:39.163657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235358.756325186 419638.338359082
ValueCountFrequency (%)
235358.756325186 1
50.0%
419638.338359082 1
50.0%
2023-12-12T19:24:39.440796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
21.2%
5 5
15.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
23.3%
5 5
16.7%
8 5
16.7%
2 3
10.0%
6 3
10.0%
1 2
 
6.7%
9 2
 
6.7%
7 1
 
3.3%
4 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
21.2%
5 5
15.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
21.2%
5 5
15.2%
8 5
15.2%
2 3
9.1%
6 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
9 2
 
6.1%
7 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 311
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:39.600635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235339.654158392 419627.590342114
ValueCountFrequency (%)
235339.654158392 1
50.0%
419627.590342114 1
50.0%
2023-12-12T19:24:39.856570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
15.2%
2 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
1 4
12.1%
. 2
 
6.1%
6 2
 
6.1%
8 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
2 4
13.3%
5 4
13.3%
9 4
13.3%
4 4
13.3%
1 4
13.3%
6 2
 
6.7%
8 1
 
3.3%
7 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
15.2%
2 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
1 4
12.1%
. 2
 
6.1%
6 2
 
6.1%
8 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
15.2%
2 4
12.1%
5 4
12.1%
9 4
12.1%
4 4
12.1%
1 4
12.1%
. 2
 
6.1%
6 2
 
6.1%
8 1
 
3.0%
1
 
3.0%
Other values (2) 2
 
6.1%

Unnamed: 312
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:40.002559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235339.621864599 419627.573686645
ValueCountFrequency (%)
235339.621864599 1
50.0%
419627.573686645 1
50.0%
2023-12-12T19:24:40.235262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6
18.2%
3 4
12.1%
5 4
12.1%
9 4
12.1%
2 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
90.9%
Other Punctuation 2
 
6.1%
Space Separator 1
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
20.0%
3 4
13.3%
5 4
13.3%
9 4
13.3%
2 3
10.0%
4 3
10.0%
1 2
 
6.7%
8 2
 
6.7%
7 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6
18.2%
3 4
12.1%
5 4
12.1%
9 4
12.1%
2 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6
18.2%
3 4
12.1%
5 4
12.1%
9 4
12.1%
2 3
9.1%
4 3
9.1%
. 2
 
6.1%
1 2
 
6.1%
8 2
 
6.1%
7 2
 
6.1%

Unnamed: 313
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:40.375624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length37
Mean length37
Min length37

Characters and Unicode

Total characters37
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row235339.577038317 419627.555191789)))"
ValueCountFrequency (%)
235339.577038317 1
50.0%
419627.555191789 1
50.0%
2023-12-12T19:24:40.641593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
13.5%
5 5
13.5%
7 5
13.5%
9 4
10.8%
1 4
10.8%
) 3
8.1%
2 2
 
5.4%
. 2
 
5.4%
8 2
 
5.4%
0 1
 
2.7%
Other values (4) 4
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
81.1%
Close Punctuation 3
 
8.1%
Other Punctuation 3
 
8.1%
Space Separator 1
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
16.7%
5 5
16.7%
7 5
16.7%
9 4
13.3%
1 4
13.3%
2 2
 
6.7%
8 2
 
6.7%
0 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
" 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
13.5%
5 5
13.5%
7 5
13.5%
9 4
10.8%
1 4
10.8%
) 3
8.1%
2 2
 
5.4%
. 2
 
5.4%
8 2
 
5.4%
0 1
 
2.7%
Other values (4) 4
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
13.5%
5 5
13.5%
7 5
13.5%
9 4
10.8%
1 4
10.8%
) 3
8.1%
2 2
 
5.4%
. 2
 
5.4%
8 2
 
5.4%
0 1
 
2.7%
Other values (4) 4
10.8%

Unnamed: 314
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:40.766505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row자전거도로
ValueCountFrequency (%)
자전거도로 1
100.0%
2023-12-12T19:24:41.021123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Unnamed: 315
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:41.202386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row대전광역시 유성구
ValueCountFrequency (%)
대전광역시 1
50.0%
유성구 1
50.0%
2023-12-12T19:24:41.560807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
88.9%
Space Separator 1
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
88.9%
Common 1
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
88.9%
ASCII 1
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 316
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
<NA>
5498 
36710047
 
1

Length

Max length8
Median length4
Mean length4.0007274
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5498
> 99.9%
36710047 1
 
< 0.1%

Length

2023-12-12T19:24:41.739967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:24:41.853260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5498
> 99.9%
36710047 1
 
< 0.1%

Unnamed: 317
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5499
Missing (%)100.0%
Memory size48.5 KiB

Unnamed: 318
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:41.954830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row미분류
ValueCountFrequency (%)
미분류 1
100.0%
2023-12-12T19:24:42.198633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 319
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:42.337733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row미분류
ValueCountFrequency (%)
미분류 1
100.0%
2023-12-12T19:24:42.620601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 320
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:42.729401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row아스콘
ValueCountFrequency (%)
아스콘 1
100.0%
2023-12-12T19:24:42.973391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 321
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
<NA>
5498 
8003.61
 
1

Length

Max length7
Median length4
Mean length4.0005456
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5498
> 99.9%
8003.61 1
 
< 0.1%

Length

2023-12-12T19:24:43.105363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:24:43.211657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5498
> 99.9%
8003.61 1
 
< 0.1%

Unnamed: 322
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
<NA>
5498 
1
 
1

Length

Max length4
Median length4
Mean length3.9994544
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5498
> 99.9%
1 1
 
< 0.1%

Length

2023-12-12T19:24:43.331449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:24:43.437129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5498
> 99.9%
1 1
 
< 0.1%

Unnamed: 323
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5498
Missing (%)> 99.9%
Memory size43.1 KiB
2023-12-12T19:24:43.528747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row미분류
ValueCountFrequency (%)
미분류 1
100.0%
2023-12-12T19:24:43.800658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 324
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
<NA>
5498 
1
 
1

Length

Max length4
Median length4
Mean length3.9994544
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5498
> 99.9%
1 1
 
< 0.1%

Length

2023-12-12T19:24:43.963203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:24:44.087065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5498
> 99.9%
1 1
 
< 0.1%

Unnamed: 325
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
<NA>
5498 
4554
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5498
> 99.9%
4554 1
 
< 0.1%

Length

2023-12-12T19:24:44.186840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:24:44.280209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5498
> 99.9%
4554 1
 
< 0.1%

Unnamed: 326
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
<NA>
5498 
13790
 
1

Length

Max length5
Median length4
Mean length4.0001819
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5498
> 99.9%
13790 1
 
< 0.1%

Length

2023-12-12T19:24:44.895420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:24:44.989655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5498
> 99.9%
13790 1
 
< 0.1%

Sample

지도 공간 참조 시스템 언어지형지물부호행정읍면동도엽번호설치일자자전거도로구분위치구분자전거도로재질연장폭원경계종류대장초기화여부관리번호도로구간번호Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87Unnamed: 88Unnamed: 89Unnamed: 90Unnamed: 91Unnamed: 92Unnamed: 93Unnamed: 94Unnamed: 95Unnamed: 96Unnamed: 97Unnamed: 98Unnamed: 99Unnamed: 100Unnamed: 101Unnamed: 102Unnamed: 103Unnamed: 104Unnamed: 105Unnamed: 106Unnamed: 107Unnamed: 108Unnamed: 109Unnamed: 110Unnamed: 111Unnamed: 112Unnamed: 113Unnamed: 114Unnamed: 115Unnamed: 116Unnamed: 117Unnamed: 118Unnamed: 119Unnamed: 120Unnamed: 121Unnamed: 122Unnamed: 123Unnamed: 124Unnamed: 125Unnamed: 126Unnamed: 127Unnamed: 128Unnamed: 129Unnamed: 130Unnamed: 131Unnamed: 132Unnamed: 133Unnamed: 134Unnamed: 135Unnamed: 136Unnamed: 137Unnamed: 138Unnamed: 139Unnamed: 140Unnamed: 141Unnamed: 142Unnamed: 143Unnamed: 144Unnamed: 145Unnamed: 146Unnamed: 147Unnamed: 148Unnamed: 149Unnamed: 150Unnamed: 151Unnamed: 152Unnamed: 153Unnamed: 154Unnamed: 155Unnamed: 156Unnamed: 157Unnamed: 158Unnamed: 159Unnamed: 160Unnamed: 161Unnamed: 162Unnamed: 163Unnamed: 164Unnamed: 165Unnamed: 166Unnamed: 167Unnamed: 168Unnamed: 169Unnamed: 170Unnamed: 171Unnamed: 172Unnamed: 173Unnamed: 174Unnamed: 175Unnamed: 176Unnamed: 177Unnamed: 178Unnamed: 179Unnamed: 180Unnamed: 181Unnamed: 182Unnamed: 183Unnamed: 184Unnamed: 185Unnamed: 186Unnamed: 187Unnamed: 188Unnamed: 189Unnamed: 190Unnamed: 191Unnamed: 192Unnamed: 193Unnamed: 194Unnamed: 195Unnamed: 196Unnamed: 197Unnamed: 198Unnamed: 199Unnamed: 200Unnamed: 201Unnamed: 202Unnamed: 203Unnamed: 204Unnamed: 205Unnamed: 206Unnamed: 207Unnamed: 208Unnamed: 209Unnamed: 210Unnamed: 211Unnamed: 212Unnamed: 213Unnamed: 214Unnamed: 215Unnamed: 216Unnamed: 217Unnamed: 218Unnamed: 219Unnamed: 220Unnamed: 221Unnamed: 222Unnamed: 223Unnamed: 224Unnamed: 225Unnamed: 226Unnamed: 227Unnamed: 228Unnamed: 229Unnamed: 230Unnamed: 231Unnamed: 232Unnamed: 233Unnamed: 234Unnamed: 235Unnamed: 236Unnamed: 237Unnamed: 238Unnamed: 239Unnamed: 240Unnamed: 241Unnamed: 242Unnamed: 243Unnamed: 244Unnamed: 245Unnamed: 246Unnamed: 247Unnamed: 248Unnamed: 249Unnamed: 250Unnamed: 251Unnamed: 252Unnamed: 253Unnamed: 254Unnamed: 255Unnamed: 256Unnamed: 257Unnamed: 258Unnamed: 259Unnamed: 260Unnamed: 261Unnamed: 262Unnamed: 263Unnamed: 264Unnamed: 265Unnamed: 266Unnamed: 267Unnamed: 268Unnamed: 269Unnamed: 270Unnamed: 271Unnamed: 272Unnamed: 273Unnamed: 274Unnamed: 275Unnamed: 276Unnamed: 277Unnamed: 278Unnamed: 279Unnamed: 280Unnamed: 281Unnamed: 282Unnamed: 283Unnamed: 284Unnamed: 285Unnamed: 286Unnamed: 287Unnamed: 288Unnamed: 289Unnamed: 290Unnamed: 291Unnamed: 292Unnamed: 293Unnamed: 294Unnamed: 295Unnamed: 296Unnamed: 297Unnamed: 298Unnamed: 299Unnamed: 300Unnamed: 301Unnamed: 302Unnamed: 303Unnamed: 304Unnamed: 305Unnamed: 306Unnamed: 307Unnamed: 308Unnamed: 309Unnamed: 310Unnamed: 311Unnamed: 312Unnamed: 313Unnamed: 314Unnamed: 315Unnamed: 316Unnamed: 317Unnamed: 318Unnamed: 319Unnamed: 320Unnamed: 321Unnamed: 322Unnamed: 323Unnamed: 324Unnamed: 325Unnamed: 326
0MULTIPOLYGON (((223273.661043151 412463.680242054,223255.270368353 412457.657604144,223255.217517084 412457.651767852,223250.446806143 412457.245415657,223245.664751732 412456.958340825,223240.838541432 412456.789605076,223235.896990277 412456.691669106,223230.896809183 412456.593339975,223225.896628089 412456.495010844,223220.896446995 412456.396681714,223215.896265901 412456.298352583,223210.896084807 412456.200023452,223205.973496712 412456.103220197,223186.051258034 412456.138337463,223186.055709269 412458.663553188,223205.091 412458.618,223230.394999995 412459.098,223246.892000001 412459.449,223249.653 412459.63,223254.259 412460.06,223257.600999998 412461.051999999,223272.847000001 412466.004,223289.007 412469.664,223299.377000001 412472.824,223308.76 412476.306,223310.62 412477.086,223312.071 412477.93,223312.996 412478.977,223314.195 412480.988,223314.445 412481.166,223315.905 412481.694,223316.907873026 412481.484383097,223316.797941781 412481.118202531,223316.675631343 412480.755968847,223316.541082자전거도로대전광역시 유성구36710071NaN자전거보행자겸용도로아스콘137.022.5포장1197375<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1MULTIPOLYGON (((223433.801715632 412619.900911235,223436.461425006 412625.566566449,223439.274976784 412631.157418742,223442.240269228 412636.669291716,223445.35508725 412642.098067974,223449.110511324 412648.219883121,223453.056057601 412654.220924301,223457.187845328 412660.09528902,223461.501810568 412665.837199381,223465.993710197 412671.441007764,223470.65912608 412676.901202385,223475.493469417 412682.212412716,223478.85923188 412685.929934297,223482.444495339 412689.712875642,223486.112581012 412693.410974707,223489.798823876 412696.972903654,223493.537978413 412700.552003536,223546.64801866 412748.433318384,223547.099711395 412748.855024404,223547.536451313 412749.292197755,223547.957709076 412749.744308572,223548.362974111 412750.210808888,223548.751755229 412750.691133295,223549.123581218 412751.184699631,223549.478001418 412751.690909681,223549.814586265 412752.20914991,223550.13292781 412752.7387922,223550.432640217 412753.279194612,223550.713360228 412753.829702168,223550.974747605 412754.3896476자전거도로대전광역시 유성구36710071NaN자전거보행자겸용도로아스콘383.531.5포장1255914<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2MULTIPOLYGON (((233021.944 430461.745,233021.516 430461.199,233016.675 430454.239,233016.198 430453.511,233014.915 430453.604,233013.16 430453.466,233020.946 430464.698,233021.378 430463.188,233021.944 430461.745)))자전거도로대전광역시 유성구3671001520191221.0자전거보행자겸용도로횡단보도아스팔트11.652.46도색13124498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3MULTIPOLYGON (((232994.854 430470.305,232997.744 430474.561,232997.917 430474.821,232999.269 430474.673,233000.941 430474.896,233000.336 430473.987,232995.681 430467.179,232995.248 430468.814,232994.663 430470.032,232994.854 430470.305)))자전거도로대전광역시 유성구3671001520191221.0자전거보행자겸용도로횡단보도아스팔트7.182.45도색14124498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4MULTIPOLYGON (((233053.671 430551.482,233053.446 430570.543,233035.517 430570.761,233035.611 430572.083,233035.68 430573.262,233037.341 430573.241,233052.232 430573.065,233053.144 430573.06,233053.551 430571.91,233054.862 430569.647,233056.052 430568.172,233056.033 430565.115,233056.148 430554.388,233056.181 430553.119,233055.02 430552.507,233053.671 430551.482)))자전거도로대전광역시 유성구3671001520191221.0자전거보행자겸용도로횡단보도아스팔트37.482.52도색15124498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5MULTIPOLYGON (((232953.799 430394.235,232961.778 430402.73,232961.757 430400.915,232962.028 430399.386,232961.624 430398.949,232958.155 430395.263,232957.472 430394.568,232955.789 430394.611,232953.799 430394.235)))자전거도로대전광역시 유성구3671001520191221.0자전거보행자겸용도로횡단보도아스팔트8.642.47도색16124494<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6MULTIPOLYGON (((233750.495 430705.776,233751.579 430705.774,233758.888 430705.75,233760.613 430705.753,233761.659 430704.627,233763.617 430703.247,233748.02 430703.329,233749.551 430704.624,233750.495 430705.776)))자전거도로대전광역시 유성구3671001620191221.0자전거보행자겸용도로횡단보도아스팔트13.852.47도색17123960<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7MULTIPOLYGON (((233031.25 430911.15,233055.81 430911.14,233058.275 430911.183,233058.894 430910.81,233058.897 430909.085,233058.997 430890.617,233059.087 430888.723,233057.751 430887.885,233056.52 430886.849,233055.456 430885.761,233053.365 430885.749,233031.381 430885.799,233030.566 430885.817,233029.485 430886.881,233028.943 430887.327,233027.896 430888.086,233026.751 430888.806,233026.758 430890.543,233026.674 430909.052,233026.674 430910.592,233027.688 430911.17,233031.25 430911.15),(233029.195 430888.262,233056.527 430888.21,233056.412 430908.636,233029.296 430908.647,233029.195 430888.262)))자전거도로대전광역시 유성구3671000520191221.0자전거보행자겸용도로횡단보도아스팔트103.042.5도색18124612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8MULTIPOLYGON (((233058.088 430726.657,233056.961 430725.816,233055.739 430724.598,233054.807 430723.479,233054.017 430722.137,233052.22 430722.156,233032.547 430722.257,233031.454 430722.281,233030.746 430723.399,233029.665 430724.778,233028.46 430725.881,233028.448 430727.119,233028.333 430736.772,233028.312 430737.698,233029.506 430738.65,233030.733 430740.008,233031.579 430741.195,233033.72 430741.194,233053.44 430741.161,233054.433 430741.184,233055.305 430739.92,233056.706 430738.476,233057.893 430737.495,233057.942 430735.546,233058.075 430728.142,233058.088 430726.657),(233030.944 430724.764,233055.669 430724.713,233055.401 430738.668,233030.894 430738.727,233030.944 430724.764)))자전거도로대전광역시 유성구3671001520191221.0자전거보행자겸용도로횡단보도아스팔트82.482.48도색19132795<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9MULTIPOLYGON (((232978.227 430415.868,232967.538 430403.902,232965.263214853 430405.941636753,232976.013506654 430417.852680789,232978.227 430415.868)))자전거도로대전광역시 유성구3671001520191221.0자전거보행자겸용도로아스콘16.043.01경계석110124494<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
지도 공간 참조 시스템 언어지형지물부호행정읍면동도엽번호설치일자자전거도로구분위치구분자전거도로재질연장폭원경계종류대장초기화여부관리번호도로구간번호Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87Unnamed: 88Unnamed: 89Unnamed: 90Unnamed: 91Unnamed: 92Unnamed: 93Unnamed: 94Unnamed: 95Unnamed: 96Unnamed: 97Unnamed: 98Unnamed: 99Unnamed: 100Unnamed: 101Unnamed: 102Unnamed: 103Unnamed: 104Unnamed: 105Unnamed: 106Unnamed: 107Unnamed: 108Unnamed: 109Unnamed: 110Unnamed: 111Unnamed: 112Unnamed: 113Unnamed: 114Unnamed: 115Unnamed: 116Unnamed: 117Unnamed: 118Unnamed: 119Unnamed: 120Unnamed: 121Unnamed: 122Unnamed: 123Unnamed: 124Unnamed: 125Unnamed: 126Unnamed: 127Unnamed: 128Unnamed: 129Unnamed: 130Unnamed: 131Unnamed: 132Unnamed: 133Unnamed: 134Unnamed: 135Unnamed: 136Unnamed: 137Unnamed: 138Unnamed: 139Unnamed: 140Unnamed: 141Unnamed: 142Unnamed: 143Unnamed: 144Unnamed: 145Unnamed: 146Unnamed: 147Unnamed: 148Unnamed: 149Unnamed: 150Unnamed: 151Unnamed: 152Unnamed: 153Unnamed: 154Unnamed: 155Unnamed: 156Unnamed: 157Unnamed: 158Unnamed: 159Unnamed: 160Unnamed: 161Unnamed: 162Unnamed: 163Unnamed: 164Unnamed: 165Unnamed: 166Unnamed: 167Unnamed: 168Unnamed: 169Unnamed: 170Unnamed: 171Unnamed: 172Unnamed: 173Unnamed: 174Unnamed: 175Unnamed: 176Unnamed: 177Unnamed: 178Unnamed: 179Unnamed: 180Unnamed: 181Unnamed: 182Unnamed: 183Unnamed: 184Unnamed: 185Unnamed: 186Unnamed: 187Unnamed: 188Unnamed: 189Unnamed: 190Unnamed: 191Unnamed: 192Unnamed: 193Unnamed: 194Unnamed: 195Unnamed: 196Unnamed: 197Unnamed: 198Unnamed: 199Unnamed: 200Unnamed: 201Unnamed: 202Unnamed: 203Unnamed: 204Unnamed: 205Unnamed: 206Unnamed: 207Unnamed: 208Unnamed: 209Unnamed: 210Unnamed: 211Unnamed: 212Unnamed: 213Unnamed: 214Unnamed: 215Unnamed: 216Unnamed: 217Unnamed: 218Unnamed: 219Unnamed: 220Unnamed: 221Unnamed: 222Unnamed: 223Unnamed: 224Unnamed: 225Unnamed: 226Unnamed: 227Unnamed: 228Unnamed: 229Unnamed: 230Unnamed: 231Unnamed: 232Unnamed: 233Unnamed: 234Unnamed: 235Unnamed: 236Unnamed: 237Unnamed: 238Unnamed: 239Unnamed: 240Unnamed: 241Unnamed: 242Unnamed: 243Unnamed: 244Unnamed: 245Unnamed: 246Unnamed: 247Unnamed: 248Unnamed: 249Unnamed: 250Unnamed: 251Unnamed: 252Unnamed: 253Unnamed: 254Unnamed: 255Unnamed: 256Unnamed: 257Unnamed: 258Unnamed: 259Unnamed: 260Unnamed: 261Unnamed: 262Unnamed: 263Unnamed: 264Unnamed: 265Unnamed: 266Unnamed: 267Unnamed: 268Unnamed: 269Unnamed: 270Unnamed: 271Unnamed: 272Unnamed: 273Unnamed: 274Unnamed: 275Unnamed: 276Unnamed: 277Unnamed: 278Unnamed: 279Unnamed: 280Unnamed: 281Unnamed: 282Unnamed: 283Unnamed: 284Unnamed: 285Unnamed: 286Unnamed: 287Unnamed: 288Unnamed: 289Unnamed: 290Unnamed: 291Unnamed: 292Unnamed: 293Unnamed: 294Unnamed: 295Unnamed: 296Unnamed: 297Unnamed: 298Unnamed: 299Unnamed: 300Unnamed: 301Unnamed: 302Unnamed: 303Unnamed: 304Unnamed: 305Unnamed: 306Unnamed: 307Unnamed: 308Unnamed: 309Unnamed: 310Unnamed: 311Unnamed: 312Unnamed: 313Unnamed: 314Unnamed: 315Unnamed: 316Unnamed: 317Unnamed: 318Unnamed: 319Unnamed: 320Unnamed: 321Unnamed: 322Unnamed: 323Unnamed: 324Unnamed: 325Unnamed: 326
5489MULTIPOLYGON (((233883.680549215 413529.424694642,233911.364441792 413509.043641461,233911.426538139 413508.989497134,233911.478900308 413508.925890782,233911.520106649 413508.854549335,233911.549038403 413508.777409732,233919.638044751 413480.254461789,233926.886153826 413454.701413922,233927.378132936 413452.966396252,233927.381389577 413452.954339623,233927.385678102 413452.936246664,233932.653673588 413428.712342988,233931.676513383 413428.499839028,233926.411821736 413452.708550607,233925.924096137 413454.42856781,233918.675991138 413479.981601294,233910.633692708 413508.339850712,233883.220538011 413528.521584987,233840.106504154 413528.40099266,233840.103707112 413529.400988749,233883.382717147 413529.522042526,233883.462074214 413529.515929556,233883.539455839 413529.497301709,233883.6129012 413529.46663101,233883.680549215 413529.424694642)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘160.391미분류1548955670<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5490MULTIPOLYGON (((234046.020925143 413057.322603617,234045.083142912 413056.975379642,234035.304135016 413083.38651653,234036.241917248 413083.733740505,234046.020925143 413057.322603617)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘28.151미분류1549087203<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5491MULTIPOLYGON (((234033.933017384 413089.98671256,234032.995261168 413089.63941833,233999.404172391 413180.34133507,233999.390746382 413180.383138565,233997.992730191 413185.497295443,233998.95733842 413185.760982681,234000.349560226 413180.668022564,234033.933017384 413089.98671256)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘101.981미분류1549187203<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5492MULTIPOLYGON (((233985.123488362 413335.169516098,233984.158628207 413334.90675217,233971.295612173 413382.139307373,233969.581821431 413388.400005604,233970.546337372 413388.664030229,233972.260300388 413382.40270184,233985.123488362 413335.169516098)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘55.421미분류1549287183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5493MULTIPOLYGON (((233950.709245801 413527.068957601,233937.584839692 413508.582535684,233936.769436858 413509.16142964,233950.042904375 413527.857786587,233950.093204066 413527.917397603,233950.152162903 413527.968460188,233950.218345993 413528.009731616,233950.290142619 413528.040207454,233950.365805447 413528.059146003,233950.443493049 413528.06608635,234004.8275658 413528.666118743,234004.838598367 413527.666179603,233950.709245801 413527.068957601)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘77.281미분류1549387768<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5494MULTIPOLYGON (((233997.975001118 414039.570087841,233983.756112168 413994.172973573,233982.801825635 413994.471866897,233997.020714588 414039.868981158,233997.975001118 414039.570087841)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘47.551미분류1549487137<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5495MULTIPOLYGON (((233964.037038534 413919.773123709,233952.257867785 413875.136330326,233951.290967517 413875.391484931,233963.071033794 413920.031671895,233963.072872419 413920.038446197,233973.717979164 413958.198063731,233980.740785184 413987.768809583,233981.713723556 413987.537744814,233974.68867162 413957.957542149,233974.686494017 413957.948729586,233974.683813943 413957.938722929,233964.037038534 413919.773123709)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘116.151미분류1549587519<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5496MULTIPOLYGON (((234035.518075168 412814.18781926,233998.215918805 412792.827924396,233997.719001806 412793.695722466,234035.021158171 412815.055617334,234035.518075168 412814.18781926)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘42.971미분류1549687160<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5497MULTIPOLYGON (((234065.055725661 413082.060827132,234064.123042358 413081.700130784,234042.193222476 413138.405936332,234039.525288252 413144.080184014,234039.512879997 413144.108870087,234039.506077871 413144.127076415,234023.438865814 413189.821844141,234024.38224655 413190.153556042,234040.441043076 413144.482721884,234043.105684549 413138.815477325,234043.118819509 413138.784934197,234065.055725661 413082.060827132)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘115.491미분류1549755657<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5498MULTIPOLYGON (((234034.377211602 414173.897133296,233999.7624094 414047.052391773,233998.79768571 414047.315656289,234033.412526697 414174.160539878,234039.994755067 414198.253788415,234040.959403519 414197.990248346,234034.377211602 414173.897133296)))자전거도로대전광역시 서구36710076NaN자전거보행자겸용도로미분류아스콘156.391미분류1549887137<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>