Overview

Dataset statistics

Number of variables44
Number of observations1668
Missing cells2223
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory576.8 KiB
Average record size in memory354.1 B

Variable types

Categorical3
Numeric2
Text39

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-12928/F/1/datasetView.do

Alerts

24시00분 has 1111 (66.6%) missing valuesMissing
24시30분 has 1112 (66.7%) missing valuesMissing
24시30분 has 33 (2.0%) zerosZeros

Reproduction

Analysis started2024-05-11 07:26:27.600624
Analysis finished2024-05-11 07:26:30.546228
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조사일자
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
평일
556 
토요일
556 
일요일
556 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 556
33.3%
토요일 556
33.3%
일요일 556
33.3%

Length

2024-05-11T07:26:30.833077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:26:31.291254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 556
33.3%
토요일 556
33.3%
일요일 556
33.3%

호선
Categorical

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
5호선
306 
7호선
306 
2호선
258 
6호선
228 
3호선
204 
Other values (5)
366 

Length

Max length4
Median length3
Mean length3.028777
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1호선
2nd row1호선
3rd row1호선
4th row1호선
5th row1호선

Common Values

ValueCountFrequency (%)
5호선 306
18.3%
7호선 306
18.3%
2호선 258
15.5%
6호선 228
13.7%
3호선 204
12.2%
4호선 156
9.4%
8호선 102
 
6.1%
1호선 60
 
3.6%
성수지선 24
 
1.4%
신정지선 24
 
1.4%

Length

2024-05-11T07:26:31.713433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:26:32.203764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5호선 306
18.3%
7호선 306
18.3%
2호선 258
15.5%
6호선 228
13.7%
3호선 204
12.2%
4호선 156
9.4%
8호선 102
 
6.1%
1호선 60
 
3.6%
성수지선 24
 
1.4%
신정지선 24
 
1.4%

역번호
Real number (ℝ)

Distinct278
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1625.259
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:26:32.945329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204.35
Q1317
median2528.5
Q32647
95-th percentile2813.65
Maximum2827
Range2677
Interquartile range (IQR)2330

Descriptive statistics

Standard deviation1176.2323
Coefficient of variation (CV)0.72371995
Kurtosis-1.910738
Mean1625.259
Median Absolute Deviation (MAD)232
Skewness-0.25611149
Sum2710932
Variance1383522.5
MonotonicityNot monotonic
2024-05-11T07:26:33.689467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 6
 
0.4%
2623 6
 
0.4%
2629 6
 
0.4%
2628 6
 
0.4%
2627 6
 
0.4%
2626 6
 
0.4%
2625 6
 
0.4%
2624 6
 
0.4%
2622 6
 
0.4%
2614 6
 
0.4%
Other values (268) 1608
96.4%
ValueCountFrequency (%)
150 6
0.4%
151 6
0.4%
152 6
0.4%
153 6
0.4%
154 6
0.4%
155 6
0.4%
156 6
0.4%
157 6
0.4%
158 6
0.4%
159 6
0.4%
ValueCountFrequency (%)
2827 6
0.4%
2826 6
0.4%
2825 6
0.4%
2824 6
0.4%
2823 6
0.4%
2822 6
0.4%
2821 6
0.4%
2820 6
0.4%
2819 6
0.4%
2818 6
0.4%

역명
Text

Distinct241
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:34.541201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length2.9784173
Min length2

Characters and Unicode

Total characters4968
Distinct characters212
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울역
2nd row서울역
3rd row시청
4th row시청
5th row종각
ValueCountFrequency (%)
종로3가 18
 
1.1%
동대문역사문화공원 18
 
1.1%
오금 12
 
0.7%
교대 12
 
0.7%
서울역 12
 
0.7%
영등포구청 12
 
0.7%
사당 12
 
0.7%
잠실 12
 
0.7%
시청 12
 
0.7%
충정로 12
 
0.7%
Other values (231) 1536
92.1%
2024-05-11T07:26:36.000055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
4.1%
180
 
3.6%
156
 
3.1%
150
 
3.0%
114
 
2.3%
96
 
1.9%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (202) 3708
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4896
98.6%
Decimal Number 48
 
1.0%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
204
 
4.2%
180
 
3.7%
156
 
3.2%
150
 
3.1%
114
 
2.3%
96
 
2.0%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (197) 3636
74.3%
Decimal Number
ValueCountFrequency (%)
3 30
62.5%
4 12
 
25.0%
5 6
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4896
98.6%
Common 72
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
204
 
4.2%
180
 
3.7%
156
 
3.2%
150
 
3.1%
114
 
2.3%
96
 
2.0%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (197) 3636
74.3%
Common
ValueCountFrequency (%)
3 30
41.7%
4 12
 
16.7%
( 12
 
16.7%
) 12
 
16.7%
5 6
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4896
98.6%
ASCII 72
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
204
 
4.2%
180
 
3.7%
156
 
3.2%
150
 
3.1%
114
 
2.3%
96
 
2.0%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (197) 3636
74.3%
ASCII
ValueCountFrequency (%)
3 30
41.7%
4 12
 
16.7%
( 12
 
16.7%
) 12
 
16.7%
5 6
 
8.3%

구분
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
상선
681 
하선
681 
내선
153 
외선
153 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상선
2nd row하선
3rd row상선
4th row하선
5th row상선

Common Values

ValueCountFrequency (%)
상선 681
40.8%
하선 681
40.8%
내선 153
 
9.2%
외선 153
 
9.2%

Length

2024-05-11T07:26:36.478326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:26:36.883804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상선 681
40.8%
하선 681
40.8%
내선 153
 
9.2%
외선 153
 
9.2%
Distinct432
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:38.004403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.3261391
Min length1

Characters and Unicode

Total characters5548
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

Unique144 ?
Unique (%)8.6%

Sample

1st row8.2
2nd row11.8
3rd row7.7
4th row9.5
5th row6.3
ValueCountFrequency (%)
0 44
 
2.7%
7.2 17
 
1.0%
6.3 15
 
0.9%
8.2 14
 
0.9%
7.4 14
 
0.9%
6.9 14
 
0.9%
17.9 13
 
0.8%
9.5 13
 
0.8%
8.5 13
 
0.8%
7 12
 
0.7%
Other values (421) 1467
89.7%
2024-05-11T07:26:39.846174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1421
25.6%
1 859
15.5%
2 605
10.9%
3 394
 
7.1%
4 361
 
6.5%
7 352
 
6.3%
5 347
 
6.3%
6 345
 
6.2%
9 326
 
5.9%
8 318
 
5.7%
Other values (2) 220
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4095
73.8%
Other Punctuation 1421
 
25.6%
Space Separator 32
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 859
21.0%
2 605
14.8%
3 394
9.6%
4 361
8.8%
7 352
8.6%
5 347
8.5%
6 345
8.4%
9 326
 
8.0%
8 318
 
7.8%
0 188
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 1421
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5548
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1421
25.6%
1 859
15.5%
2 605
10.9%
3 394
 
7.1%
4 361
 
6.5%
7 352
 
6.3%
5 347
 
6.3%
6 345
 
6.2%
9 326
 
5.9%
8 318
 
5.7%
Other values (2) 220
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1421
25.6%
1 859
15.5%
2 605
10.9%
3 394
 
7.1%
4 361
 
6.5%
7 352
 
6.3%
5 347
 
6.3%
6 345
 
6.2%
9 326
 
5.9%
8 318
 
5.7%
Other values (2) 220
 
4.0%
Distinct372
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:40.939626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.4286571
Min length1

Characters and Unicode

Total characters5719
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

Unique87 ?
Unique (%)5.2%

Sample

1st row12.9
2nd row13.5
3rd row11.2
4th row11.3
5th row8.1
ValueCountFrequency (%)
0 41
 
2.5%
8.5 17
 
1.0%
8.4 15
 
0.9%
12.3 15
 
0.9%
10.3 14
 
0.8%
14 14
 
0.8%
8.7 14
 
0.8%
7.6 14
 
0.8%
10.1 13
 
0.8%
16.6 13
 
0.8%
Other values (361) 1488
89.7%
2024-05-11T07:26:42.400316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1464
25.6%
1 1044
18.3%
2 573
 
10.0%
3 432
 
7.6%
4 396
 
6.9%
6 336
 
5.9%
8 332
 
5.8%
5 325
 
5.7%
7 319
 
5.6%
9 302
 
5.3%
Other values (2) 196
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4245
74.2%
Other Punctuation 1464
 
25.6%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1044
24.6%
2 573
13.5%
3 432
10.2%
4 396
 
9.3%
6 336
 
7.9%
8 332
 
7.8%
5 325
 
7.7%
7 319
 
7.5%
9 302
 
7.1%
0 186
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1464
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1464
25.6%
1 1044
18.3%
2 573
 
10.0%
3 432
 
7.6%
4 396
 
6.9%
6 336
 
5.9%
8 332
 
5.8%
5 325
 
5.7%
7 319
 
5.6%
9 302
 
5.3%
Other values (2) 196
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1464
25.6%
1 1044
18.3%
2 573
 
10.0%
3 432
 
7.6%
4 396
 
6.9%
6 336
 
5.9%
8 332
 
5.8%
5 325
 
5.7%
7 319
 
5.6%
9 302
 
5.3%
Other values (2) 196
 
3.4%
Distinct381
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:43.250002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.3513189
Min length1

Characters and Unicode

Total characters5590
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

Unique119 ?
Unique (%)7.1%

Sample

1st row21.5
2nd row12.2
3rd row19.6
4th row11.6
5th row15.5
ValueCountFrequency (%)
0 41
 
2.5%
10.1 21
 
1.3%
10.7 18
 
1.1%
10.5 17
 
1.0%
9.4 17
 
1.0%
10.9 16
 
1.0%
5.8 16
 
1.0%
13.3 15
 
0.9%
5.7 14
 
0.8%
8 14
 
0.8%
Other values (370) 1469
88.6%
2024-05-11T07:26:44.432228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1450
25.9%
1 988
17.7%
2 507
 
9.1%
3 406
 
7.3%
5 361
 
6.5%
8 334
 
6.0%
4 330
 
5.9%
9 325
 
5.8%
6 323
 
5.8%
7 322
 
5.8%
Other values (2) 244
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4130
73.9%
Other Punctuation 1450
 
25.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 988
23.9%
2 507
12.3%
3 406
9.8%
5 361
 
8.7%
8 334
 
8.1%
4 330
 
8.0%
9 325
 
7.9%
6 323
 
7.8%
7 322
 
7.8%
0 234
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 1450
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5590
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1450
25.9%
1 988
17.7%
2 507
 
9.1%
3 406
 
7.3%
5 361
 
6.5%
8 334
 
6.0%
4 330
 
5.9%
9 325
 
5.8%
6 323
 
5.8%
7 322
 
5.8%
Other values (2) 244
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1450
25.9%
1 988
17.7%
2 507
 
9.1%
3 406
 
7.3%
5 361
 
6.5%
8 334
 
6.0%
4 330
 
5.9%
9 325
 
5.8%
6 323
 
5.8%
7 322
 
5.8%
Other values (2) 244
 
4.4%
Distinct464
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:45.212159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.3441247
Min length1

Characters and Unicode

Total characters5578
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

Unique174 ?
Unique (%)10.4%

Sample

1st row28.4
2nd row17.8
3rd row24.4
4th row16.7
5th row16.6
ValueCountFrequency (%)
0 41
 
2.5%
7 24
 
1.4%
11 18
 
1.1%
7.8 18
 
1.1%
8.2 15
 
0.9%
9.6 14
 
0.8%
9.9 14
 
0.8%
8.5 14
 
0.8%
10.1 13
 
0.8%
7.9 13
 
0.8%
Other values (453) 1474
88.9%
2024-05-11T07:26:46.400393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1447
25.9%
1 895
16.0%
2 513
 
9.2%
3 427
 
7.7%
4 370
 
6.6%
7 350
 
6.3%
5 348
 
6.2%
6 340
 
6.1%
8 330
 
5.9%
9 323
 
5.8%
Other values (2) 235
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4121
73.9%
Other Punctuation 1447
 
25.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 895
21.7%
2 513
12.4%
3 427
10.4%
4 370
9.0%
7 350
 
8.5%
5 348
 
8.4%
6 340
 
8.3%
8 330
 
8.0%
9 323
 
7.8%
0 225
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 1447
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1447
25.9%
1 895
16.0%
2 513
 
9.2%
3 427
 
7.7%
4 370
 
6.6%
7 350
 
6.3%
5 348
 
6.2%
6 340
 
6.1%
8 330
 
5.9%
9 323
 
5.8%
Other values (2) 235
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1447
25.9%
1 895
16.0%
2 513
 
9.2%
3 427
 
7.7%
4 370
 
6.6%
7 350
 
6.3%
5 348
 
6.2%
6 340
 
6.1%
8 330
 
5.9%
9 323
 
5.8%
Other values (2) 235
 
4.2%
Distinct549
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:47.217336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4868106
Min length1

Characters and Unicode

Total characters5816
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

Unique228 ?
Unique (%)13.7%

Sample

1st row46.7
2nd row26.4
3rd row36.2
4th row23.2
5th row22.7
ValueCountFrequency (%)
0 41
 
2.5%
11 14
 
0.8%
6.7 13
 
0.8%
10.6 12
 
0.7%
12.4 12
 
0.7%
6.8 11
 
0.7%
8.2 11
 
0.7%
9.6 11
 
0.7%
13.7 11
 
0.7%
8.8 11
 
0.7%
Other values (538) 1511
91.1%
2024-05-11T07:26:48.648664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1469
25.3%
1 918
15.8%
2 558
 
9.6%
3 422
 
7.3%
5 415
 
7.1%
4 412
 
7.1%
6 383
 
6.6%
8 342
 
5.9%
9 336
 
5.8%
7 329
 
5.7%
Other values (2) 232
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4337
74.6%
Other Punctuation 1469
 
25.3%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 918
21.2%
2 558
12.9%
3 422
9.7%
5 415
9.6%
4 412
9.5%
6 383
8.8%
8 342
 
7.9%
9 336
 
7.7%
7 329
 
7.6%
0 222
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1469
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1469
25.3%
1 918
15.8%
2 558
 
9.6%
3 422
 
7.3%
5 415
 
7.1%
4 412
 
7.1%
6 383
 
6.6%
8 342
 
5.9%
9 336
 
5.8%
7 329
 
5.7%
Other values (2) 232
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1469
25.3%
1 918
15.8%
2 558
 
9.6%
3 422
 
7.3%
5 415
 
7.1%
4 412
 
7.1%
6 383
 
6.6%
8 342
 
5.9%
9 336
 
5.8%
7 329
 
5.7%
Other values (2) 232
 
4.0%
Distinct682
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:49.635254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6223022
Min length1

Characters and Unicode

Total characters6042
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

Unique329 ?
Unique (%)19.7%

Sample

1st row70
2nd row34.8
3rd row53.7
4th row34.1
5th row34.8
ValueCountFrequency (%)
0 41
 
2.5%
16.1 13
 
0.8%
15.7 11
 
0.7%
17.3 11
 
0.7%
15.4 10
 
0.6%
23.5 9
 
0.5%
9.9 9
 
0.5%
15.3 9
 
0.5%
17.5 9
 
0.5%
9.8 9
 
0.5%
Other values (671) 1527
92.1%
2024-05-11T07:26:51.082386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1449
24.0%
1 919
15.2%
2 635
10.5%
3 556
 
9.2%
4 452
 
7.5%
5 390
 
6.5%
7 361
 
6.0%
8 358
 
5.9%
6 348
 
5.8%
9 342
 
5.7%
Other values (2) 232
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4583
75.9%
Other Punctuation 1449
 
24.0%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 919
20.1%
2 635
13.9%
3 556
12.1%
4 452
9.9%
5 390
8.5%
7 361
 
7.9%
8 358
 
7.8%
6 348
 
7.6%
9 342
 
7.5%
0 222
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 1449
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6042
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1449
24.0%
1 919
15.2%
2 635
10.5%
3 556
 
9.2%
4 452
 
7.5%
5 390
 
6.5%
7 361
 
6.0%
8 358
 
5.9%
6 348
 
5.8%
9 342
 
5.7%
Other values (2) 232
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1449
24.0%
1 919
15.2%
2 635
10.5%
3 556
 
9.2%
4 452
 
7.5%
5 390
 
6.5%
7 361
 
6.0%
8 358
 
5.9%
6 348
 
5.8%
9 342
 
5.7%
Other values (2) 232
 
3.8%
Distinct625
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:52.161564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.646283
Min length1

Characters and Unicode

Total characters6082
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

Unique281 ?
Unique (%)16.8%

Sample

1st row74.5
2nd row25.2
3rd row51.7
4th row26.4
5th row28.7
ValueCountFrequency (%)
0 41
 
2.5%
14.2 11
 
0.7%
17.5 11
 
0.7%
19.9 11
 
0.7%
17.3 10
 
0.6%
14.7 10
 
0.6%
17.4 9
 
0.5%
20.7 9
 
0.5%
13.9 9
 
0.5%
22.1 9
 
0.5%
Other values (614) 1528
92.2%
2024-05-11T07:26:53.949003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1475
24.3%
1 912
15.0%
2 700
11.5%
3 493
 
8.1%
4 413
 
6.8%
7 405
 
6.7%
6 405
 
6.7%
5 401
 
6.6%
9 338
 
5.6%
8 316
 
5.2%
Other values (2) 224
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4597
75.6%
Other Punctuation 1475
 
24.3%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 912
19.8%
2 700
15.2%
3 493
10.7%
4 413
9.0%
7 405
8.8%
6 405
8.8%
5 401
8.7%
9 338
 
7.4%
8 316
 
6.9%
0 214
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 1475
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6082
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1475
24.3%
1 912
15.0%
2 700
11.5%
3 493
 
8.1%
4 413
 
6.8%
7 405
 
6.7%
6 405
 
6.7%
5 401
 
6.6%
9 338
 
5.6%
8 316
 
5.2%
Other values (2) 224
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6082
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1475
24.3%
1 912
15.0%
2 700
11.5%
3 493
 
8.1%
4 413
 
6.8%
7 405
 
6.7%
6 405
 
6.7%
5 401
 
6.6%
9 338
 
5.6%
8 316
 
5.2%
Other values (2) 224
 
3.7%
Distinct613
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:55.150013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6576739
Min length1

Characters and Unicode

Total characters6101
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

Unique245 ?
Unique (%)14.7%

Sample

1st row52.2
2nd row21
3rd row47.1
4th row21
5th row32.4
ValueCountFrequency (%)
0 41
 
2.5%
18.6 12
 
0.7%
17.3 12
 
0.7%
18.1 11
 
0.7%
18.7 10
 
0.6%
14.2 10
 
0.6%
20.6 9
 
0.5%
20.7 9
 
0.5%
18.4 9
 
0.5%
19.2 8
 
0.5%
Other values (602) 1527
92.1%
2024-05-11T07:26:56.945228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1476
24.2%
1 846
13.9%
2 735
12.0%
3 525
 
8.6%
4 463
 
7.6%
5 404
 
6.6%
6 398
 
6.5%
7 379
 
6.2%
8 334
 
5.5%
9 316
 
5.2%
Other values (2) 225
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4615
75.6%
Other Punctuation 1476
 
24.2%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 846
18.3%
2 735
15.9%
3 525
11.4%
4 463
10.0%
5 404
8.8%
6 398
8.6%
7 379
8.2%
8 334
 
7.2%
9 316
 
6.8%
0 215
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 1476
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6101
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1476
24.2%
1 846
13.9%
2 735
12.0%
3 525
 
8.6%
4 463
 
7.6%
5 404
 
6.6%
6 398
 
6.5%
7 379
 
6.2%
8 334
 
5.5%
9 316
 
5.2%
Other values (2) 225
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1476
24.2%
1 846
13.9%
2 735
12.0%
3 525
 
8.6%
4 463
 
7.6%
5 404
 
6.6%
6 398
 
6.5%
7 379
 
6.2%
8 334
 
5.5%
9 316
 
5.2%
Other values (2) 225
 
3.7%
Distinct587
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:26:57.963970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6013189
Min length1

Characters and Unicode

Total characters6007
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

Unique221 ?
Unique (%)13.2%

Sample

1st row57.1
2nd row17
3rd row47.1
4th row16.8
5th row35
ValueCountFrequency (%)
0 41
 
2.5%
17.6 11
 
0.7%
24.5 11
 
0.7%
17.5 10
 
0.6%
20.8 10
 
0.6%
20 9
 
0.5%
14.6 9
 
0.5%
19 9
 
0.5%
23 9
 
0.5%
16.6 8
 
0.5%
Other values (576) 1531
92.3%
2024-05-11T07:26:59.867613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1427
23.8%
2 779
13.0%
1 719
12.0%
3 575
9.6%
4 466
 
7.8%
5 387
 
6.4%
7 374
 
6.2%
6 366
 
6.1%
9 360
 
6.0%
8 344
 
5.7%
Other values (2) 210
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4570
76.1%
Other Punctuation 1427
 
23.8%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 779
17.0%
1 719
15.7%
3 575
12.6%
4 466
10.2%
5 387
8.5%
7 374
8.2%
6 366
8.0%
9 360
7.9%
8 344
7.5%
0 200
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1427
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6007
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1427
23.8%
2 779
13.0%
1 719
12.0%
3 575
9.6%
4 466
 
7.8%
5 387
 
6.4%
7 374
 
6.2%
6 366
 
6.1%
9 360
 
6.0%
8 344
 
5.7%
Other values (2) 210
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6007
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1427
23.8%
2 779
13.0%
1 719
12.0%
3 575
9.6%
4 466
 
7.8%
5 387
 
6.4%
7 374
 
6.2%
6 366
 
6.1%
9 360
 
6.0%
8 344
 
5.7%
Other values (2) 210
 
3.5%
Distinct532
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:01.121407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5953237
Min length1

Characters and Unicode

Total characters5997
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

Unique152 ?
Unique (%)9.1%

Sample

1st row38.5
2nd row16.4
3rd row37.4
4th row16.4
5th row30.6
ValueCountFrequency (%)
0 41
 
2.5%
22 13
 
0.8%
21.8 12
 
0.7%
20.3 10
 
0.6%
22.9 9
 
0.5%
22.7 9
 
0.5%
12 9
 
0.5%
18.2 9
 
0.5%
17.2 9
 
0.5%
20 9
 
0.5%
Other values (521) 1528
92.2%
2024-05-11T07:27:02.556417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1427
23.8%
2 802
13.4%
1 772
12.9%
3 611
10.2%
4 495
 
8.3%
5 359
 
6.0%
8 338
 
5.6%
7 334
 
5.6%
6 327
 
5.5%
9 318
 
5.3%
Other values (2) 214
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4560
76.0%
Other Punctuation 1427
 
23.8%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 802
17.6%
1 772
16.9%
3 611
13.4%
4 495
10.9%
5 359
7.9%
8 338
7.4%
7 334
7.3%
6 327
7.2%
9 318
 
7.0%
0 204
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1427
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5997
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1427
23.8%
2 802
13.4%
1 772
12.9%
3 611
10.2%
4 495
 
8.3%
5 359
 
6.0%
8 338
 
5.6%
7 334
 
5.6%
6 327
 
5.5%
9 318
 
5.3%
Other values (2) 214
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1427
23.8%
2 802
13.4%
1 772
12.9%
3 611
10.2%
4 495
 
8.3%
5 359
 
6.0%
8 338
 
5.6%
7 334
 
5.6%
6 327
 
5.5%
9 318
 
5.3%
Other values (2) 214
 
3.6%
Distinct538
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:03.466326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6420863
Min length1

Characters and Unicode

Total characters6075
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

Unique172 ?
Unique (%)10.3%

Sample

1st row31.3
2nd row20.8
3rd row27.2
4th row19.6
5th row24.4
ValueCountFrequency (%)
0 41
 
2.5%
23.2 11
 
0.7%
21.8 10
 
0.6%
24.6 10
 
0.6%
28 10
 
0.6%
21.6 10
 
0.6%
15.7 9
 
0.5%
22.2 9
 
0.5%
15.9 9
 
0.5%
17.5 9
 
0.5%
Other values (527) 1530
92.3%
2024-05-11T07:27:04.916741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1464
24.1%
2 776
12.8%
1 734
12.1%
3 657
10.8%
4 491
 
8.1%
5 388
 
6.4%
6 342
 
5.6%
7 340
 
5.6%
9 336
 
5.5%
8 332
 
5.5%
Other values (2) 215
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4601
75.7%
Other Punctuation 1464
 
24.1%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 776
16.9%
1 734
16.0%
3 657
14.3%
4 491
10.7%
5 388
8.4%
6 342
7.4%
7 340
7.4%
9 336
7.3%
8 332
7.2%
0 205
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1464
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6075
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1464
24.1%
2 776
12.8%
1 734
12.1%
3 657
10.8%
4 491
 
8.1%
5 388
 
6.4%
6 342
 
5.6%
7 340
 
5.6%
9 336
 
5.5%
8 332
 
5.5%
Other values (2) 215
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1464
24.1%
2 776
12.8%
1 734
12.1%
3 657
10.8%
4 491
 
8.1%
5 388
 
6.4%
6 342
 
5.6%
7 340
 
5.6%
9 336
 
5.5%
8 332
 
5.5%
Other values (2) 215
 
3.5%
Distinct544
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:05.895643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.616307
Min length1

Characters and Unicode

Total characters6032
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

Unique165 ?
Unique (%)9.9%

Sample

1st row45.9
2nd row20.4
3rd row41.1
4th row19.9
5th row36.7
ValueCountFrequency (%)
0 41
 
2.5%
26.7 13
 
0.8%
29.7 11
 
0.7%
27 10
 
0.6%
31.9 10
 
0.6%
29.3 10
 
0.6%
21.6 9
 
0.5%
19 9
 
0.5%
24 9
 
0.5%
15.4 9
 
0.5%
Other values (533) 1527
92.1%
2024-05-11T07:27:07.879190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1439
23.9%
2 756
12.5%
1 693
11.5%
3 652
10.8%
4 534
 
8.9%
5 395
 
6.5%
7 358
 
5.9%
9 355
 
5.9%
6 337
 
5.6%
8 299
 
5.0%
Other values (2) 214
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4583
76.0%
Other Punctuation 1439
 
23.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 756
16.5%
1 693
15.1%
3 652
14.2%
4 534
11.7%
5 395
8.6%
7 358
7.8%
9 355
7.7%
6 337
7.4%
8 299
 
6.5%
0 204
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1439
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6032
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1439
23.9%
2 756
12.5%
1 693
11.5%
3 652
10.8%
4 534
 
8.9%
5 395
 
6.5%
7 358
 
5.9%
9 355
 
5.9%
6 337
 
5.6%
8 299
 
5.0%
Other values (2) 214
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1439
23.9%
2 756
12.5%
1 693
11.5%
3 652
10.8%
4 534
 
8.9%
5 395
 
6.5%
7 358
 
5.9%
9 355
 
5.9%
6 337
 
5.6%
8 299
 
5.0%
Other values (2) 214
 
3.5%
Distinct557
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:09.006410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6432854
Min length1

Characters and Unicode

Total characters6077
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

Unique150 ?
Unique (%)9.0%

Sample

1st row36.5
2nd row24.9
3rd row38
4th row23.5
5th row38.5
ValueCountFrequency (%)
0 41
 
2.5%
25 10
 
0.6%
21.4 9
 
0.5%
16.5 8
 
0.5%
34.1 8
 
0.5%
28.1 8
 
0.5%
25.2 8
 
0.5%
17.1 8
 
0.5%
33.5 8
 
0.5%
27.7 8
 
0.5%
Other values (546) 1542
93.0%
2024-05-11T07:27:10.640860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1458
24.0%
2 798
13.1%
3 670
11.0%
1 661
10.9%
4 539
 
8.9%
5 444
 
7.3%
6 358
 
5.9%
7 340
 
5.6%
8 317
 
5.2%
9 307
 
5.1%
Other values (2) 185
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4609
75.8%
Other Punctuation 1458
 
24.0%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 798
17.3%
3 670
14.5%
1 661
14.3%
4 539
11.7%
5 444
9.6%
6 358
7.8%
7 340
7.4%
8 317
 
6.9%
9 307
 
6.7%
0 175
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 1458
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6077
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1458
24.0%
2 798
13.1%
3 670
11.0%
1 661
10.9%
4 539
 
8.9%
5 444
 
7.3%
6 358
 
5.9%
7 340
 
5.6%
8 317
 
5.2%
9 307
 
5.1%
Other values (2) 185
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6077
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1458
24.0%
2 798
13.1%
3 670
11.0%
1 661
10.9%
4 539
 
8.9%
5 444
 
7.3%
6 358
 
5.9%
7 340
 
5.6%
8 317
 
5.2%
9 307
 
5.1%
Other values (2) 185
 
3.0%
Distinct533
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:11.629086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6115108
Min length1

Characters and Unicode

Total characters6024
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

Unique146 ?
Unique (%)8.8%

Sample

1st row34.9
2nd row27.8
3rd row34.5
4th row26.2
5th row27.6
ValueCountFrequency (%)
0 41
 
2.5%
15.4 11
 
0.7%
28 10
 
0.6%
29.1 10
 
0.6%
16.8 9
 
0.5%
34.5 9
 
0.5%
30 9
 
0.5%
23 9
 
0.5%
27.4 9
 
0.5%
37.4 9
 
0.5%
Other values (522) 1532
92.4%
2024-05-11T07:27:13.275555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1432
23.8%
2 755
12.5%
3 668
11.1%
1 614
10.2%
4 565
 
9.4%
5 416
 
6.9%
6 387
 
6.4%
8 332
 
5.5%
7 329
 
5.5%
9 322
 
5.3%
Other values (2) 204
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4582
76.1%
Other Punctuation 1432
 
23.8%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 755
16.5%
3 668
14.6%
1 614
13.4%
4 565
12.3%
5 416
9.1%
6 387
8.4%
8 332
7.2%
7 329
7.2%
9 322
7.0%
0 194
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 1432
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1432
23.8%
2 755
12.5%
3 668
11.1%
1 614
10.2%
4 565
 
9.4%
5 416
 
6.9%
6 387
 
6.4%
8 332
 
5.5%
7 329
 
5.5%
9 322
 
5.3%
Other values (2) 204
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1432
23.8%
2 755
12.5%
3 668
11.1%
1 614
10.2%
4 565
 
9.4%
5 416
 
6.9%
6 387
 
6.4%
8 332
 
5.5%
7 329
 
5.5%
9 322
 
5.3%
Other values (2) 204
 
3.4%
Distinct568
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:14.359878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6468825
Min length1

Characters and Unicode

Total characters6083
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

Unique170 ?
Unique (%)10.2%

Sample

1st row36
2nd row28.5
3rd row34.8
4th row28
5th row32.9
ValueCountFrequency (%)
0 41
 
2.5%
27.8 13
 
0.8%
27.7 10
 
0.6%
36.2 10
 
0.6%
27.6 9
 
0.5%
22.7 9
 
0.5%
37 8
 
0.5%
25.8 8
 
0.5%
32.8 8
 
0.5%
31.7 8
 
0.5%
Other values (557) 1534
92.5%
2024-05-11T07:27:16.048536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1449
23.8%
2 744
12.2%
3 711
11.7%
1 563
 
9.3%
4 548
 
9.0%
5 421
 
6.9%
7 384
 
6.3%
6 379
 
6.2%
9 341
 
5.6%
8 330
 
5.4%
Other values (2) 213
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4624
76.0%
Other Punctuation 1449
 
23.8%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 744
16.1%
3 711
15.4%
1 563
12.2%
4 548
11.9%
5 421
9.1%
7 384
8.3%
6 379
8.2%
9 341
7.4%
8 330
7.1%
0 203
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1449
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6083
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1449
23.8%
2 744
12.2%
3 711
11.7%
1 563
 
9.3%
4 548
 
9.0%
5 421
 
6.9%
7 384
 
6.3%
6 379
 
6.2%
9 341
 
5.6%
8 330
 
5.4%
Other values (2) 213
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1449
23.8%
2 744
12.2%
3 711
11.7%
1 563
 
9.3%
4 548
 
9.0%
5 421
 
6.9%
7 384
 
6.3%
6 379
 
6.2%
9 341
 
5.6%
8 330
 
5.4%
Other values (2) 213
 
3.5%
Distinct550
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:17.158224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6768585
Min length1

Characters and Unicode

Total characters6133
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

Unique156 ?
Unique (%)9.4%

Sample

1st row35
2nd row30.8
3rd row35.3
4th row29.8
5th row34.1
ValueCountFrequency (%)
0 41
 
2.5%
35 10
 
0.6%
26.1 10
 
0.6%
27.1 9
 
0.5%
28.4 9
 
0.5%
22.8 9
 
0.5%
27.7 9
 
0.5%
26.2 9
 
0.5%
42.8 8
 
0.5%
30.1 8
 
0.5%
Other values (539) 1536
92.6%
2024-05-11T07:27:19.042872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1472
24.0%
2 707
11.5%
3 700
11.4%
4 636
10.4%
1 569
 
9.3%
5 483
 
7.9%
6 391
 
6.4%
7 348
 
5.7%
8 318
 
5.2%
9 294
 
4.8%
Other values (2) 215
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4651
75.8%
Other Punctuation 1472
 
24.0%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 707
15.2%
3 700
15.1%
4 636
13.7%
1 569
12.2%
5 483
10.4%
6 391
8.4%
7 348
7.5%
8 318
6.8%
9 294
6.3%
0 205
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1472
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1472
24.0%
2 707
11.5%
3 700
11.4%
4 636
10.4%
1 569
 
9.3%
5 483
 
7.9%
6 391
 
6.4%
7 348
 
5.7%
8 318
 
5.2%
9 294
 
4.8%
Other values (2) 215
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1472
24.0%
2 707
11.5%
3 700
11.4%
4 636
10.4%
1 569
 
9.3%
5 483
 
7.9%
6 391
 
6.4%
7 348
 
5.7%
8 318
 
5.2%
9 294
 
4.8%
Other values (2) 215
 
3.5%
Distinct572
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:20.166588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6756595
Min length1

Characters and Unicode

Total characters6131
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

Unique181 ?
Unique (%)10.9%

Sample

1st row35.2
2nd row34.3
3rd row33.7
4th row32.6
5th row32.7
ValueCountFrequency (%)
0 41
 
2.5%
25.6 12
 
0.7%
33 10
 
0.6%
28.3 10
 
0.6%
35.9 10
 
0.6%
30.7 10
 
0.6%
34.3 9
 
0.5%
31.8 9
 
0.5%
29.7 9
 
0.5%
30.9 9
 
0.5%
Other values (561) 1529
92.2%
2024-05-11T07:27:22.052545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1465
23.9%
2 745
12.2%
3 744
12.1%
4 594
9.7%
1 544
 
8.9%
5 458
 
7.5%
6 361
 
5.9%
7 353
 
5.8%
9 342
 
5.6%
8 304
 
5.0%
Other values (2) 221
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4656
75.9%
Other Punctuation 1465
 
23.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 745
16.0%
3 744
16.0%
4 594
12.8%
1 544
11.7%
5 458
9.8%
6 361
7.8%
7 353
7.6%
9 342
7.3%
8 304
6.5%
0 211
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1465
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1465
23.9%
2 745
12.2%
3 744
12.1%
4 594
9.7%
1 544
 
8.9%
5 458
 
7.5%
6 361
 
5.9%
7 353
 
5.8%
9 342
 
5.6%
8 304
 
5.0%
Other values (2) 221
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1465
23.9%
2 745
12.2%
3 744
12.1%
4 594
9.7%
1 544
 
8.9%
5 458
 
7.5%
6 361
 
5.9%
7 353
 
5.8%
9 342
 
5.6%
8 304
 
5.0%
Other values (2) 221
 
3.6%
Distinct538
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:23.273903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.661271
Min length1

Characters and Unicode

Total characters6107
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

Unique140 ?
Unique (%)8.4%

Sample

1st row31.6
2nd row36
3rd row32.4
4th row35.5
5th row33.2
ValueCountFrequency (%)
0 41
 
2.5%
30.4 11
 
0.7%
25.5 10
 
0.6%
36 10
 
0.6%
29.9 10
 
0.6%
33.4 10
 
0.6%
24.9 9
 
0.5%
32.6 9
 
0.5%
24.7 8
 
0.5%
31.6 8
 
0.5%
Other values (527) 1532
92.4%
2024-05-11T07:27:24.990367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1457
23.9%
3 783
12.8%
2 737
12.1%
4 603
9.9%
1 573
 
9.4%
5 439
 
7.2%
6 359
 
5.9%
7 337
 
5.5%
8 322
 
5.3%
9 295
 
4.8%
Other values (2) 202
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4640
76.0%
Other Punctuation 1457
 
23.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 783
16.9%
2 737
15.9%
4 603
13.0%
1 573
12.3%
5 439
9.5%
6 359
7.7%
7 337
7.3%
8 322
6.9%
9 295
 
6.4%
0 192
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1457
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1457
23.9%
3 783
12.8%
2 737
12.1%
4 603
9.9%
1 573
 
9.4%
5 439
 
7.2%
6 359
 
5.9%
7 337
 
5.5%
8 322
 
5.3%
9 295
 
4.8%
Other values (2) 202
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1457
23.9%
3 783
12.8%
2 737
12.1%
4 603
9.9%
1 573
 
9.4%
5 439
 
7.2%
6 359
 
5.9%
7 337
 
5.5%
8 322
 
5.3%
9 295
 
4.8%
Other values (2) 202
 
3.3%
Distinct553
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:26.033616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6642686
Min length1

Characters and Unicode

Total characters6112
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

Unique157 ?
Unique (%)9.4%

Sample

1st row29.6
2nd row30
3rd row30.4
4th row35.4
5th row30.4
ValueCountFrequency (%)
0 41
 
2.5%
22.1 12
 
0.7%
31.7 12
 
0.7%
31.3 11
 
0.7%
27.8 9
 
0.5%
38.1 9
 
0.5%
35.6 9
 
0.5%
35 9
 
0.5%
39.3 8
 
0.5%
34.3 8
 
0.5%
Other values (542) 1530
92.3%
2024-05-11T07:27:27.997797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1463
23.9%
3 792
13.0%
2 753
12.3%
4 585
 
9.6%
1 556
 
9.1%
5 457
 
7.5%
6 347
 
5.7%
7 328
 
5.4%
8 323
 
5.3%
9 307
 
5.0%
Other values (2) 201
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4639
75.9%
Other Punctuation 1463
 
23.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 792
17.1%
2 753
16.2%
4 585
12.6%
1 556
12.0%
5 457
9.9%
6 347
7.5%
7 328
7.1%
8 323
7.0%
9 307
 
6.6%
0 191
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1463
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1463
23.9%
3 792
13.0%
2 753
12.3%
4 585
 
9.6%
1 556
 
9.1%
5 457
 
7.5%
6 347
 
5.7%
7 328
 
5.4%
8 323
 
5.3%
9 307
 
5.0%
Other values (2) 201
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1463
23.9%
3 792
13.0%
2 753
12.3%
4 585
 
9.6%
1 556
 
9.1%
5 457
 
7.5%
6 347
 
5.7%
7 328
 
5.4%
8 323
 
5.3%
9 307
 
5.0%
Other values (2) 201
 
3.3%
Distinct545
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:29.000258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6618705
Min length1

Characters and Unicode

Total characters6108
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

Unique154 ?
Unique (%)9.2%

Sample

1st row28.7
2nd row49
3rd row30.3
4th row41
5th row36.3
ValueCountFrequency (%)
0 41
 
2.5%
36.1 11
 
0.7%
39.3 10
 
0.6%
28.3 10
 
0.6%
38.9 9
 
0.5%
38 9
 
0.5%
23.5 9
 
0.5%
32.4 9
 
0.5%
26.9 8
 
0.5%
35.8 8
 
0.5%
Other values (534) 1534
92.5%
2024-05-11T07:27:30.695856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1455
23.8%
3 799
13.1%
2 719
11.8%
4 602
9.9%
1 542
 
8.9%
5 437
 
7.2%
6 378
 
6.2%
8 325
 
5.3%
9 318
 
5.2%
7 294
 
4.8%
Other values (2) 239
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4643
76.0%
Other Punctuation 1455
 
23.8%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 799
17.2%
2 719
15.5%
4 602
13.0%
1 542
11.7%
5 437
9.4%
6 378
8.1%
8 325
7.0%
9 318
 
6.8%
7 294
 
6.3%
0 229
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 1455
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1455
23.8%
3 799
13.1%
2 719
11.8%
4 602
9.9%
1 542
 
8.9%
5 437
 
7.2%
6 378
 
6.2%
8 325
 
5.3%
9 318
 
5.2%
7 294
 
4.8%
Other values (2) 239
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1455
23.8%
3 799
13.1%
2 719
11.8%
4 602
9.9%
1 542
 
8.9%
5 437
 
7.2%
6 378
 
6.2%
8 325
 
5.3%
9 318
 
5.2%
7 294
 
4.8%
Other values (2) 239
 
3.9%
Distinct566
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:31.653577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6600719
Min length1

Characters and Unicode

Total characters6105
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

Unique165 ?
Unique (%)9.9%

Sample

1st row26
2nd row43.7
3rd row28.3
4th row41.9
5th row30.7
ValueCountFrequency (%)
0 41
 
2.5%
34.3 9
 
0.5%
39.6 9
 
0.5%
36.7 9
 
0.5%
37.1 9
 
0.5%
32.1 9
 
0.5%
27.6 8
 
0.5%
26 8
 
0.5%
39.4 8
 
0.5%
30.2 8
 
0.5%
Other values (555) 1540
92.9%
2024-05-11T07:27:33.036989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1453
23.8%
3 749
12.3%
2 711
11.6%
4 639
10.5%
1 534
 
8.7%
5 465
 
7.6%
6 373
 
6.1%
7 364
 
6.0%
9 312
 
5.1%
8 300
 
4.9%
Other values (2) 205
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4642
76.0%
Other Punctuation 1453
 
23.8%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 749
16.1%
2 711
15.3%
4 639
13.8%
1 534
11.5%
5 465
10.0%
6 373
8.0%
7 364
7.8%
9 312
6.7%
8 300
6.5%
0 195
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 1453
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1453
23.8%
3 749
12.3%
2 711
11.6%
4 639
10.5%
1 534
 
8.7%
5 465
 
7.6%
6 373
 
6.1%
7 364
 
6.0%
9 312
 
5.1%
8 300
 
4.9%
Other values (2) 205
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1453
23.8%
3 749
12.3%
2 711
11.6%
4 639
10.5%
1 534
 
8.7%
5 465
 
7.6%
6 373
 
6.1%
7 364
 
6.0%
9 312
 
5.1%
8 300
 
4.9%
Other values (2) 205
 
3.4%
Distinct579
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:33.964974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6918465
Min length1

Characters and Unicode

Total characters6158
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

Unique164 ?
Unique (%)9.8%

Sample

1st row27.5
2nd row46.4
3rd row29.7
4th row44.3
5th row30.4
ValueCountFrequency (%)
0 41
 
2.5%
39.3 11
 
0.7%
30.9 9
 
0.5%
41.4 8
 
0.5%
36.2 8
 
0.5%
42.3 8
 
0.5%
35.2 8
 
0.5%
36.7 8
 
0.5%
38.1 8
 
0.5%
32.8 7
 
0.4%
Other values (568) 1542
93.0%
2024-05-11T07:27:35.351351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1474
23.9%
3 735
11.9%
2 682
11.1%
4 648
10.5%
5 545
 
8.9%
1 500
 
8.1%
6 390
 
6.3%
7 351
 
5.7%
8 318
 
5.2%
9 315
 
5.1%
Other values (2) 200
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4674
75.9%
Other Punctuation 1474
 
23.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 735
15.7%
2 682
14.6%
4 648
13.9%
5 545
11.7%
1 500
10.7%
6 390
8.3%
7 351
7.5%
8 318
6.8%
9 315
6.7%
0 190
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1474
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6158
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1474
23.9%
3 735
11.9%
2 682
11.1%
4 648
10.5%
5 545
 
8.9%
1 500
 
8.1%
6 390
 
6.3%
7 351
 
5.7%
8 318
 
5.2%
9 315
 
5.1%
Other values (2) 200
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1474
23.9%
3 735
11.9%
2 682
11.1%
4 648
10.5%
5 545
 
8.9%
1 500
 
8.1%
6 390
 
6.3%
7 351
 
5.7%
8 318
 
5.2%
9 315
 
5.1%
Other values (2) 200
 
3.2%
Distinct607
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:36.171062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6594724
Min length1

Characters and Unicode

Total characters6104
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

Unique191 ?
Unique (%)11.5%

Sample

1st row32.7
2nd row57
3rd row34.2
4th row52.4
5th row35.4
ValueCountFrequency (%)
0 41
 
2.5%
35.4 9
 
0.5%
35 9
 
0.5%
25.7 8
 
0.5%
49.6 8
 
0.5%
33.4 8
 
0.5%
27.9 8
 
0.5%
37.1 7
 
0.4%
44.4 7
 
0.4%
39.2 7
 
0.4%
Other values (596) 1546
93.2%
2024-05-11T07:27:37.394984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1444
23.7%
4 687
11.3%
3 665
10.9%
2 614
10.1%
5 557
 
9.1%
1 481
 
7.9%
6 425
 
7.0%
7 363
 
5.9%
9 353
 
5.8%
8 329
 
5.4%
Other values (2) 186
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4650
76.2%
Other Punctuation 1444
 
23.7%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 687
14.8%
3 665
14.3%
2 614
13.2%
5 557
12.0%
1 481
10.3%
6 425
9.1%
7 363
7.8%
9 353
7.6%
8 329
7.1%
0 176
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 1444
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1444
23.7%
4 687
11.3%
3 665
10.9%
2 614
10.1%
5 557
 
9.1%
1 481
 
7.9%
6 425
 
7.0%
7 363
 
5.9%
9 353
 
5.8%
8 329
 
5.4%
Other values (2) 186
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1444
23.7%
4 687
11.3%
3 665
10.9%
2 614
10.1%
5 557
 
9.1%
1 481
 
7.9%
6 425
 
7.0%
7 363
 
5.9%
9 353
 
5.8%
8 329
 
5.4%
Other values (2) 186
 
3.0%
Distinct654
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:38.133749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6822542
Min length1

Characters and Unicode

Total characters6142
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

Unique236 ?
Unique (%)14.1%

Sample

1st row26.8
2nd row65.7
3rd row30.8
4th row60.9
5th row37.3
ValueCountFrequency (%)
0 41
 
2.5%
44 9
 
0.5%
24.8 8
 
0.5%
44.3 8
 
0.5%
37.8 7
 
0.4%
31.2 7
 
0.4%
47.9 7
 
0.4%
37.7 7
 
0.4%
49.1 7
 
0.4%
29.1 7
 
0.4%
Other values (643) 1550
93.5%
2024-05-11T07:27:39.449827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1462
23.8%
4 668
10.9%
3 648
10.6%
2 609
9.9%
5 548
 
8.9%
1 513
 
8.4%
6 439
 
7.1%
7 374
 
6.1%
8 341
 
5.6%
9 321
 
5.2%
Other values (2) 219
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4670
76.0%
Other Punctuation 1462
 
23.8%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 668
14.3%
3 648
13.9%
2 609
13.0%
5 548
11.7%
1 513
11.0%
6 439
9.4%
7 374
8.0%
8 341
7.3%
9 321
6.9%
0 209
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1462
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6142
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1462
23.8%
4 668
10.9%
3 648
10.6%
2 609
9.9%
5 548
 
8.9%
1 513
 
8.4%
6 439
 
7.1%
7 374
 
6.1%
8 341
 
5.6%
9 321
 
5.2%
Other values (2) 219
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6142
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1462
23.8%
4 668
10.9%
3 648
10.6%
2 609
9.9%
5 548
 
8.9%
1 513
 
8.4%
6 439
 
7.1%
7 374
 
6.1%
8 341
 
5.6%
9 321
 
5.2%
Other values (2) 219
 
3.6%
Distinct681
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:40.295846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6996403
Min length1

Characters and Unicode

Total characters6171
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

Unique240 ?
Unique (%)14.4%

Sample

1st row34.4
2nd row70.4
3rd row35.6
4th row64.1
5th row39.2
ValueCountFrequency (%)
0 41
 
2.5%
33.9 9
 
0.5%
38.3 8
 
0.5%
31.2 8
 
0.5%
41.9 7
 
0.4%
35.8 7
 
0.4%
41.4 7
 
0.4%
36.7 7
 
0.4%
41.3 7
 
0.4%
21.3 7
 
0.4%
Other values (670) 1550
93.5%
2024-05-11T07:27:42.040517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1475
23.9%
3 647
10.5%
4 643
10.4%
2 625
10.1%
1 546
 
8.8%
5 517
 
8.4%
6 433
 
7.0%
7 395
 
6.4%
8 348
 
5.6%
9 328
 
5.3%
Other values (2) 214
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4686
75.9%
Other Punctuation 1475
 
23.9%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 647
13.8%
4 643
13.7%
2 625
13.3%
1 546
11.7%
5 517
11.0%
6 433
9.2%
7 395
8.4%
8 348
7.4%
9 328
7.0%
0 204
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1475
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1475
23.9%
3 647
10.5%
4 643
10.4%
2 625
10.1%
1 546
 
8.8%
5 517
 
8.4%
6 433
 
7.0%
7 395
 
6.4%
8 348
 
5.6%
9 328
 
5.3%
Other values (2) 214
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1475
23.9%
3 647
10.5%
4 643
10.4%
2 625
10.1%
1 546
 
8.8%
5 517
 
8.4%
6 433
 
7.0%
7 395
 
6.4%
8 348
 
5.6%
9 328
 
5.3%
Other values (2) 214
 
3.5%
Distinct695
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:43.140557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6582734
Min length1

Characters and Unicode

Total characters6102
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

Unique266 ?
Unique (%)15.9%

Sample

1st row40.3
2nd row105.6
3rd row51.1
4th row88.8
5th row65.5
ValueCountFrequency (%)
0 41
 
2.5%
34 10
 
0.6%
39.2 9
 
0.5%
30.9 8
 
0.5%
28 8
 
0.5%
47.1 8
 
0.5%
38.3 8
 
0.5%
24.1 8
 
0.5%
25.9 8
 
0.5%
30.6 7
 
0.4%
Other values (684) 1543
93.1%
2024-05-11T07:27:45.004461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1437
23.5%
3 632
10.4%
2 629
10.3%
4 589
9.7%
1 560
 
9.2%
5 489
 
8.0%
6 418
 
6.9%
7 410
 
6.7%
8 376
 
6.2%
9 337
 
5.5%
Other values (2) 225
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4655
76.3%
Other Punctuation 1437
 
23.5%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 632
13.6%
2 629
13.5%
4 589
12.7%
1 560
12.0%
5 489
10.5%
6 418
9.0%
7 410
8.8%
8 376
8.1%
9 337
7.2%
0 215
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 1437
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1437
23.5%
3 632
10.4%
2 629
10.3%
4 589
9.7%
1 560
 
9.2%
5 489
 
8.0%
6 418
 
6.9%
7 410
 
6.7%
8 376
 
6.2%
9 337
 
5.5%
Other values (2) 225
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1437
23.5%
3 632
10.4%
2 629
10.3%
4 589
9.7%
1 560
 
9.2%
5 489
 
8.0%
6 418
 
6.9%
7 410
 
6.7%
8 376
 
6.2%
9 337
 
5.5%
Other values (2) 225
 
3.7%
Distinct717
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:45.806921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6864508
Min length1

Characters and Unicode

Total characters6149
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

Unique318 ?
Unique (%)19.1%

Sample

1st row42.7
2nd row76.5
3rd row48.7
4th row73.4
5th row58.2
ValueCountFrequency (%)
0 41
 
2.5%
28.3 9
 
0.5%
25.8 8
 
0.5%
30.7 8
 
0.5%
19.5 8
 
0.5%
26.4 7
 
0.4%
42.7 7
 
0.4%
29.6 7
 
0.4%
12.8 7
 
0.4%
44.2 7
 
0.4%
Other values (706) 1549
93.4%
2024-05-11T07:27:47.374893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1460
23.7%
2 697
11.3%
3 661
10.7%
1 639
10.4%
4 501
 
8.1%
5 447
 
7.3%
6 418
 
6.8%
8 383
 
6.2%
7 361
 
5.9%
9 357
 
5.8%
Other values (2) 225
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4679
76.1%
Other Punctuation 1460
 
23.7%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 697
14.9%
3 661
14.1%
1 639
13.7%
4 501
10.7%
5 447
9.6%
6 418
8.9%
8 383
8.2%
7 361
7.7%
9 357
7.6%
0 215
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 1460
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6149
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1460
23.7%
2 697
11.3%
3 661
10.7%
1 639
10.4%
4 501
 
8.1%
5 447
 
7.3%
6 418
 
6.8%
8 383
 
6.2%
7 361
 
5.9%
9 357
 
5.8%
Other values (2) 225
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1460
23.7%
2 697
11.3%
3 661
10.7%
1 639
10.4%
4 501
 
8.1%
5 447
 
7.3%
6 418
 
6.8%
8 383
 
6.2%
7 361
 
5.9%
9 357
 
5.8%
Other values (2) 225
 
3.7%
Distinct611
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:48.252903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6354916
Min length1

Characters and Unicode

Total characters6064
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

Unique217 ?
Unique (%)13.0%

Sample

1st row29.8
2nd row51
3rd row36.1
4th row48.1
5th row42.1
ValueCountFrequency (%)
0 41
 
2.5%
27.9 11
 
0.7%
29.1 9
 
0.5%
27.1 8
 
0.5%
33.3 8
 
0.5%
18.5 8
 
0.5%
23.1 8
 
0.5%
18.4 8
 
0.5%
32.1 8
 
0.5%
30.2 7
 
0.4%
Other values (600) 1542
93.0%
2024-05-11T07:27:49.862871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1454
24.0%
2 721
11.9%
1 716
11.8%
3 648
10.7%
4 521
 
8.6%
5 411
 
6.8%
7 367
 
6.1%
6 358
 
5.9%
8 343
 
5.7%
9 328
 
5.4%
Other values (2) 197
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4600
75.9%
Other Punctuation 1454
 
24.0%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 721
15.7%
1 716
15.6%
3 648
14.1%
4 521
11.3%
5 411
8.9%
7 367
8.0%
6 358
7.8%
8 343
7.5%
9 328
7.1%
0 187
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1454
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1454
24.0%
2 721
11.9%
1 716
11.8%
3 648
10.7%
4 521
 
8.6%
5 411
 
6.8%
7 367
 
6.1%
6 358
 
5.9%
8 343
 
5.7%
9 328
 
5.4%
Other values (2) 197
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1454
24.0%
2 721
11.9%
1 716
11.8%
3 648
10.7%
4 521
 
8.6%
5 411
 
6.8%
7 367
 
6.1%
6 358
 
5.9%
8 343
 
5.7%
9 328
 
5.4%
Other values (2) 197
 
3.2%
Distinct543
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:51.092596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5947242
Min length1

Characters and Unicode

Total characters5996
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

Unique163 ?
Unique (%)9.8%

Sample

1st row21.7
2nd row37.4
3rd row24.2
4th row34.1
5th row30.1
ValueCountFrequency (%)
0 41
 
2.5%
25.7 12
 
0.7%
27.1 11
 
0.7%
24.2 9
 
0.5%
19.5 9
 
0.5%
26.8 9
 
0.5%
17.5 9
 
0.5%
16.3 9
 
0.5%
23.9 9
 
0.5%
23.8 9
 
0.5%
Other values (532) 1531
92.3%
2024-05-11T07:27:52.573761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1444
24.1%
2 771
12.9%
1 758
12.6%
3 621
10.4%
4 469
 
7.8%
5 424
 
7.1%
6 355
 
5.9%
7 348
 
5.8%
9 326
 
5.4%
8 285
 
4.8%
Other values (2) 195
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4542
75.8%
Other Punctuation 1444
 
24.1%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 771
17.0%
1 758
16.7%
3 621
13.7%
4 469
10.3%
5 424
9.3%
6 355
7.8%
7 348
7.7%
9 326
7.2%
8 285
 
6.3%
0 185
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1444
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1444
24.1%
2 771
12.9%
1 758
12.6%
3 621
10.4%
4 469
 
7.8%
5 424
 
7.1%
6 355
 
5.9%
7 348
 
5.8%
9 326
 
5.4%
8 285
 
4.8%
Other values (2) 195
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1444
24.1%
2 771
12.9%
1 758
12.6%
3 621
10.4%
4 469
 
7.8%
5 424
 
7.1%
6 355
 
5.9%
7 348
 
5.8%
9 326
 
5.4%
8 285
 
4.8%
Other values (2) 195
 
3.3%
Distinct513
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:53.684094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5893285
Min length1

Characters and Unicode

Total characters5987
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

Unique136 ?
Unique (%)8.2%

Sample

1st row15.1
2nd row36.5
3rd row18.7
4th row32
5th row25.8
ValueCountFrequency (%)
0 41
 
2.5%
20.4 10
 
0.6%
19.1 9
 
0.5%
24.7 9
 
0.5%
18.9 9
 
0.5%
24.4 8
 
0.5%
22.1 8
 
0.5%
13.9 8
 
0.5%
29.3 8
 
0.5%
25.1 8
 
0.5%
Other values (502) 1540
92.9%
2024-05-11T07:27:55.197668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1453
24.3%
1 830
13.9%
2 772
12.9%
3 600
10.0%
4 492
 
8.2%
5 392
 
6.5%
9 318
 
5.3%
6 315
 
5.3%
8 310
 
5.2%
7 298
 
5.0%
Other values (2) 207
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4524
75.6%
Other Punctuation 1453
 
24.3%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 830
18.3%
2 772
17.1%
3 600
13.3%
4 492
10.9%
5 392
8.7%
9 318
 
7.0%
6 315
 
7.0%
8 310
 
6.9%
7 298
 
6.6%
0 197
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1453
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5987
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1453
24.3%
1 830
13.9%
2 772
12.9%
3 600
10.0%
4 492
 
8.2%
5 392
 
6.5%
9 318
 
5.3%
6 315
 
5.3%
8 310
 
5.2%
7 298
 
5.0%
Other values (2) 207
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5987
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1453
24.3%
1 830
13.9%
2 772
12.9%
3 600
10.0%
4 492
 
8.2%
5 392
 
6.5%
9 318
 
5.3%
6 315
 
5.3%
8 310
 
5.2%
7 298
 
5.0%
Other values (2) 207
 
3.5%
Distinct520
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:56.052975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.572542
Min length1

Characters and Unicode

Total characters5959
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

Unique130 ?
Unique (%)7.8%

Sample

1st row15.9
2nd row31.2
3rd row18.3
4th row27.7
5th row24.2
ValueCountFrequency (%)
0 41
 
2.5%
15.2 11
 
0.7%
15.9 10
 
0.6%
20.1 10
 
0.6%
14 10
 
0.6%
11.4 9
 
0.5%
24.1 9
 
0.5%
20.8 9
 
0.5%
15.3 9
 
0.5%
25.6 9
 
0.5%
Other values (509) 1531
92.3%
2024-05-11T07:27:57.514995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1447
24.3%
1 791
13.3%
2 751
12.6%
3 579
9.7%
4 468
 
7.9%
5 399
 
6.7%
9 343
 
5.8%
6 337
 
5.7%
8 319
 
5.4%
7 303
 
5.1%
Other values (2) 222
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4502
75.5%
Other Punctuation 1447
 
24.3%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 791
17.6%
2 751
16.7%
3 579
12.9%
4 468
10.4%
5 399
8.9%
9 343
7.6%
6 337
7.5%
8 319
7.1%
7 303
 
6.7%
0 212
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 1447
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1447
24.3%
1 791
13.3%
2 751
12.6%
3 579
9.7%
4 468
 
7.9%
5 399
 
6.7%
9 343
 
5.8%
6 337
 
5.7%
8 319
 
5.4%
7 303
 
5.1%
Other values (2) 222
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1447
24.3%
1 791
13.3%
2 751
12.6%
3 579
9.7%
4 468
 
7.9%
5 399
 
6.7%
9 343
 
5.8%
6 337
 
5.7%
8 319
 
5.4%
7 303
 
5.1%
Other values (2) 222
 
3.7%
Distinct550
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:27:58.415711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.572542
Min length1

Characters and Unicode

Total characters5959
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

Unique169 ?
Unique (%)10.1%

Sample

1st row17.1
2nd row37.6
3rd row20.7
4th row34.8
5th row30
ValueCountFrequency (%)
0 41
 
2.5%
14.4 12
 
0.7%
13.9 11
 
0.7%
8 10
 
0.6%
15.9 10
 
0.6%
14.3 10
 
0.6%
13.1 10
 
0.6%
17.9 9
 
0.5%
18.9 9
 
0.5%
18.5 9
 
0.5%
Other values (539) 1527
92.1%
2024-05-11T07:27:59.656301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1444
24.2%
1 778
13.1%
2 683
11.5%
3 630
10.6%
4 495
 
8.3%
6 371
 
6.2%
5 363
 
6.1%
8 344
 
5.8%
9 325
 
5.5%
7 317
 
5.3%
Other values (2) 209
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4505
75.6%
Other Punctuation 1444
 
24.2%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 778
17.3%
2 683
15.2%
3 630
14.0%
4 495
11.0%
6 371
8.2%
5 363
8.1%
8 344
7.6%
9 325
7.2%
7 317
7.0%
0 199
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1444
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1444
24.2%
1 778
13.1%
2 683
11.5%
3 630
10.6%
4 495
 
8.3%
6 371
 
6.2%
5 363
 
6.1%
8 344
 
5.8%
9 325
 
5.5%
7 317
 
5.3%
Other values (2) 209
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1444
24.2%
1 778
13.1%
2 683
11.5%
3 630
10.6%
4 495
 
8.3%
6 371
 
6.2%
5 363
 
6.1%
8 344
 
5.8%
9 325
 
5.5%
7 317
 
5.3%
Other values (2) 209
 
3.5%
Distinct552
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:28:00.509699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5863309
Min length1

Characters and Unicode

Total characters5982
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

Unique167 ?
Unique (%)10.0%

Sample

1st row16
2nd row44.6
3rd row22
4th row39.3
5th row31.9
ValueCountFrequency (%)
0 41
 
2.5%
18.8 11
 
0.7%
12.8 11
 
0.7%
16.8 9
 
0.5%
23.6 9
 
0.5%
14 9
 
0.5%
21.2 9
 
0.5%
9.9 9
 
0.5%
29.3 8
 
0.5%
21.9 8
 
0.5%
Other values (541) 1534
92.5%
2024-05-11T07:28:02.090454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1464
24.5%
1 766
12.8%
2 690
11.5%
3 622
10.4%
4 473
 
7.9%
5 387
 
6.5%
8 360
 
6.0%
6 360
 
6.0%
7 326
 
5.4%
9 315
 
5.3%
Other values (2) 219
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4508
75.4%
Other Punctuation 1464
 
24.5%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 766
17.0%
2 690
15.3%
3 622
13.8%
4 473
10.5%
5 387
8.6%
8 360
8.0%
6 360
8.0%
7 326
7.2%
9 315
7.0%
0 209
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 1464
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5982
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1464
24.5%
1 766
12.8%
2 690
11.5%
3 622
10.4%
4 473
 
7.9%
5 387
 
6.5%
8 360
 
6.0%
6 360
 
6.0%
7 326
 
5.4%
9 315
 
5.3%
Other values (2) 219
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1464
24.5%
1 766
12.8%
2 690
11.5%
3 622
10.4%
4 473
 
7.9%
5 387
 
6.5%
8 360
 
6.0%
6 360
 
6.0%
7 326
 
5.4%
9 315
 
5.3%
Other values (2) 219
 
3.7%
Distinct598
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:28:02.973791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5947242
Min length1

Characters and Unicode

Total characters5996
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

Unique190 ?
Unique (%)11.4%

Sample

1st row19
2nd row45.6
3rd row24
4th row37.4
5th row34
ValueCountFrequency (%)
0 42
 
2.5%
34.4 9
 
0.5%
27.2 9
 
0.5%
20.4 9
 
0.5%
13.5 8
 
0.5%
9.7 8
 
0.5%
18.9 8
 
0.5%
27.5 8
 
0.5%
17.7 8
 
0.5%
13.7 8
 
0.5%
Other values (587) 1541
92.9%
2024-05-11T07:28:04.343851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1458
24.3%
1 754
12.6%
2 681
11.4%
3 546
 
9.1%
4 541
 
9.0%
5 420
 
7.0%
6 380
 
6.3%
7 335
 
5.6%
8 321
 
5.4%
9 320
 
5.3%
Other values (2) 240
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4528
75.5%
Other Punctuation 1458
 
24.3%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 754
16.7%
2 681
15.0%
3 546
12.1%
4 541
11.9%
5 420
9.3%
6 380
8.4%
7 335
7.4%
8 321
7.1%
9 320
7.1%
0 230
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1458
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1458
24.3%
1 754
12.6%
2 681
11.4%
3 546
 
9.1%
4 541
 
9.0%
5 420
 
7.0%
6 380
 
6.3%
7 335
 
5.6%
8 321
 
5.4%
9 320
 
5.3%
Other values (2) 240
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1458
24.3%
1 754
12.6%
2 681
11.4%
3 546
 
9.1%
4 541
 
9.0%
5 420
 
7.0%
6 380
 
6.3%
7 335
 
5.6%
8 321
 
5.4%
9 320
 
5.3%
Other values (2) 240
 
4.0%
Distinct579
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:28:05.444036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5773381
Min length1

Characters and Unicode

Total characters5967
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

Unique178 ?
Unique (%)10.7%

Sample

1st row15.2
2nd row37.8
3rd row18.7
4th row36.3
5th row26.8
ValueCountFrequency (%)
0 41
 
2.5%
18.7 13
 
0.8%
10.5 10
 
0.6%
7.4 10
 
0.6%
18.8 9
 
0.5%
13.4 9
 
0.5%
19.3 9
 
0.5%
8.7 9
 
0.5%
14 8
 
0.5%
11.4 8
 
0.5%
Other values (568) 1532
92.4%
2024-05-11T07:28:07.374821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1464
24.5%
1 779
13.1%
2 647
10.8%
3 576
 
9.7%
4 483
 
8.1%
5 381
 
6.4%
8 370
 
6.2%
6 356
 
6.0%
7 341
 
5.7%
9 336
 
5.6%
Other values (2) 234
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4493
75.3%
Other Punctuation 1464
 
24.5%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 779
17.3%
2 647
14.4%
3 576
12.8%
4 483
10.8%
5 381
8.5%
8 370
8.2%
6 356
7.9%
7 341
7.6%
9 336
7.5%
0 224
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1464
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5967
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1464
24.5%
1 779
13.1%
2 647
10.8%
3 576
 
9.7%
4 483
 
8.1%
5 381
 
6.4%
8 370
 
6.2%
6 356
 
6.0%
7 341
 
5.7%
9 336
 
5.6%
Other values (2) 234
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1464
24.5%
1 779
13.1%
2 647
10.8%
3 576
 
9.7%
4 483
 
8.1%
5 381
 
6.4%
8 370
 
6.2%
6 356
 
6.0%
7 341
 
5.7%
9 336
 
5.6%
Other values (2) 234
 
3.9%
Distinct527
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:28:08.467487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.4874101
Min length1

Characters and Unicode

Total characters5817
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

Unique159 ?
Unique (%)9.5%

Sample

1st row10.5
2nd row28.8
3rd row13.7
4th row23
5th row18.8
ValueCountFrequency (%)
0 41
 
2.5%
12.7 12
 
0.7%
10 11
 
0.7%
7.3 10
 
0.6%
15 9
 
0.5%
10.1 9
 
0.5%
21.7 9
 
0.5%
5.7 9
 
0.5%
8.2 9
 
0.5%
16 8
 
0.5%
Other values (516) 1531
92.3%
2024-05-11T07:28:10.184695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1430
24.6%
1 849
14.6%
2 643
11.1%
3 525
 
9.0%
4 479
 
8.2%
5 364
 
6.3%
8 337
 
5.8%
6 333
 
5.7%
7 315
 
5.4%
9 308
 
5.3%
Other values (2) 234
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4377
75.2%
Other Punctuation 1430
 
24.6%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 849
19.4%
2 643
14.7%
3 525
12.0%
4 479
10.9%
5 364
8.3%
8 337
 
7.7%
6 333
 
7.6%
7 315
 
7.2%
9 308
 
7.0%
0 224
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1430
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5817
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1430
24.6%
1 849
14.6%
2 643
11.1%
3 525
 
9.0%
4 479
 
8.2%
5 364
 
6.3%
8 337
 
5.8%
6 333
 
5.7%
7 315
 
5.4%
9 308
 
5.3%
Other values (2) 234
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1430
24.6%
1 849
14.6%
2 643
11.1%
3 525
 
9.0%
4 479
 
8.2%
5 364
 
6.3%
8 337
 
5.8%
6 333
 
5.7%
7 315
 
5.4%
9 308
 
5.3%
Other values (2) 234
 
4.0%
Distinct451
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:28:11.133411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3417266
Min length1

Characters and Unicode

Total characters5574
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

Unique132 ?
Unique (%)7.9%

Sample

1st row7.8
2nd row19.3
3rd row10
4th row18.1
5th row12.5
ValueCountFrequency (%)
0 41
 
2.5%
9.5 13
 
0.8%
4.4 12
 
0.7%
10.6 12
 
0.7%
8.8 12
 
0.7%
9.1 11
 
0.7%
4.9 11
 
0.7%
11.9 11
 
0.7%
16 10
 
0.6%
3.2 10
 
0.6%
Other values (440) 1503
91.3%
2024-05-11T07:28:12.749946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1437
25.8%
1 845
15.2%
2 598
10.7%
3 442
 
7.9%
4 415
 
7.4%
5 350
 
6.3%
6 347
 
6.2%
7 317
 
5.7%
8 313
 
5.6%
9 305
 
5.5%
Other values (2) 205
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4115
73.8%
Other Punctuation 1437
 
25.8%
Space Separator 22
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 845
20.5%
2 598
14.5%
3 442
10.7%
4 415
10.1%
5 350
8.5%
6 347
8.4%
7 317
 
7.7%
8 313
 
7.6%
9 305
 
7.4%
0 183
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1437
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5574
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1437
25.8%
1 845
15.2%
2 598
10.7%
3 442
 
7.9%
4 415
 
7.4%
5 350
 
6.3%
6 347
 
6.2%
7 317
 
5.7%
8 313
 
5.6%
9 305
 
5.5%
Other values (2) 205
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1437
25.8%
1 845
15.2%
2 598
10.7%
3 442
 
7.9%
4 415
 
7.4%
5 350
 
6.3%
6 347
 
6.2%
7 317
 
5.7%
8 313
 
5.6%
9 305
 
5.5%
Other values (2) 205
 
3.7%

24시00분
Text

MISSING 

Distinct225
Distinct (%)40.4%
Missing1111
Missing (%)66.6%
Memory size13.2 KiB
2024-05-11T07:28:13.890466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2172352
Min length1

Characters and Unicode

Total characters1792
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

Unique83 ?
Unique (%)14.9%

Sample

1st row6
2nd row7.1
3rd row6.9
4th row4
5th row9.1
ValueCountFrequency (%)
0 21
 
3.8%
11.5 9
 
1.6%
3.7 8
 
1.4%
8.7 7
 
1.3%
4.1 7
 
1.3%
7.3 7
 
1.3%
8.4 6
 
1.1%
2.4 6
 
1.1%
11.9 6
 
1.1%
4 6
 
1.1%
Other values (214) 473
85.1%
2024-05-11T07:28:15.834209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 480
26.8%
1 326
18.2%
2 166
 
9.3%
3 146
 
8.1%
4 130
 
7.3%
5 99
 
5.5%
7 98
 
5.5%
8 94
 
5.2%
6 94
 
5.2%
9 88
 
4.9%
Other values (2) 71
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1311
73.2%
Other Punctuation 480
 
26.8%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 326
24.9%
2 166
12.7%
3 146
11.1%
4 130
 
9.9%
5 99
 
7.6%
7 98
 
7.5%
8 94
 
7.2%
6 94
 
7.2%
9 88
 
6.7%
0 70
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 480
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 480
26.8%
1 326
18.2%
2 166
 
9.3%
3 146
 
8.1%
4 130
 
7.3%
5 99
 
5.5%
7 98
 
5.5%
8 94
 
5.2%
6 94
 
5.2%
9 88
 
4.9%
Other values (2) 71
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 480
26.8%
1 326
18.2%
2 166
 
9.3%
3 146
 
8.1%
4 130
 
7.3%
5 99
 
5.5%
7 98
 
5.5%
8 94
 
5.2%
6 94
 
5.2%
9 88
 
4.9%
Other values (2) 71
 
4.0%

24시30분
Real number (ℝ)

MISSING  ZEROS 

Distinct177
Distinct (%)31.8%
Missing1112
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean7.0983813
Minimum0
Maximum31
Zeros33
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:16.781046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.8
median5.7
Q310.3
95-th percentile18.5
Maximum31
Range31
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.7371444
Coefficient of variation (CV)0.80823278
Kurtosis1.4747058
Mean7.0983813
Median Absolute Deviation (MAD)3.3
Skewness1.2041059
Sum3946.7
Variance32.914826
MonotonicityNot monotonic
2024-05-11T07:28:17.559035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 33
 
2.0%
4.6 11
 
0.7%
2.6 10
 
0.6%
4.7 9
 
0.5%
4.4 9
 
0.5%
5.8 8
 
0.5%
4.8 8
 
0.5%
6.3 8
 
0.5%
5.0 7
 
0.4%
4.3 7
 
0.4%
Other values (167) 446
26.7%
(Missing) 1112
66.7%
ValueCountFrequency (%)
0.0 33
2.0%
0.1 2
 
0.1%
0.2 5
 
0.3%
0.3 4
 
0.2%
0.4 4
 
0.2%
0.5 3
 
0.2%
0.6 1
 
0.1%
0.7 2
 
0.1%
0.8 3
 
0.2%
0.9 3
 
0.2%
ValueCountFrequency (%)
31.0 1
0.1%
29.9 1
0.1%
27.9 1
0.1%
26.9 1
0.1%
26.5 1
0.1%
24.9 1
0.1%
24.0 1
0.1%
23.8 1
0.1%
23.7 1
0.1%
23.4 1
0.1%

Sample

조사일자호선역번호역명구분5시30분6시00분6시30분7시00분7시30분8시00분8시30분9시00분9시30분10시00분10시30분11시00분11시30분12시00분12시30분13시00분13시30분14시00분14시30분15시00분15시30분16시00분16시30분17시00분17시30분18시00분18시30분19시00분19시30분20시00분20시30분21시00분21시30분22시00분22시30분23시00분23시30분24시00분24시30분
0평일1호선150서울역상선8.212.921.528.446.77074.552.257.138.531.345.936.534.9363535.231.629.628.72627.532.726.834.440.342.729.821.715.115.917.1161915.210.57.860.9
1평일1호선150서울역하선11.813.512.217.826.434.825.2211716.420.820.424.927.828.530.834.336304943.746.45765.770.4105.676.55137.436.531.237.644.645.637.828.819.37.10.4
2평일1호선151시청상선7.711.219.624.436.253.751.747.147.137.427.241.13834.534.835.333.732.430.430.328.329.734.230.835.651.148.736.124.218.718.320.7222418.713.7106.91.0
3평일1호선151시청하선9.511.311.616.723.234.126.42116.816.419.619.923.526.22829.832.635.535.44141.944.352.460.964.188.873.448.134.13227.734.839.337.436.32318.141.6
4평일1호선152종각상선6.38.115.516.622.734.828.732.43530.624.436.738.527.632.934.132.733.230.436.330.730.435.437.339.265.558.242.130.125.824.23031.93426.818.812.59.11.2
5평일1호선152종각하선11.112.312.819.328.644.241.226.720.817.422.320.225.129.726.334.429.73534.939.239.740.749.655.456.474.756.538.626.327.821.528.732.235.327.720.4174.21.8
6평일1호선153종로3가상선6.38.114.416.322.936.234.831.132.530.524.431.642.528.435.536.636.236.433.141.134.335.240.843.341.863.267.245.631.727.125.232.933.840.128.920.514.210.41.2
7평일1호선153종로3가하선12.112.215.923.139.95969.137.428.622.426.322.32832.126.733.129.233.932.535.93740.54546.646.454.243.929.820.72015.618.521.421.91912.810.92.61.3
8평일1호선154종로5가상선5.66.512.412.416.528.823.621.328.624.820.127.431.23030.732.733.934.833.937.136.732.943.843.941.569.56851.533.428.727.633.534.942.729.121.914111.1
9평일1호선154종로5가하선13.417.217.127.445.170.868.237.232.430.82830.131.132.636.133.439.53636.639.237.441.247.74944.15739.428.118.420.213.318.61819.218.411.811.72.91.7
조사일자호선역번호역명구분5시30분6시00분6시30분7시00분7시30분8시00분8시30분9시00분9시30분10시00분10시30분11시00분11시30분12시00분12시30분13시00분13시30분14시00분14시30분15시00분15시30분16시00분16시30분17시00분17시30분18시00분18시30분19시00분19시30분20시00분20시30분21시00분21시30분22시00분22시30분23시00분23시30분24시00분24시30분
1658일요일8호선2823남한산성입구상선8.46.96.37.89.313.915.218.319.617.418.617.116.217.6201718.419.417.214.813.715.113.112.410.7106.86.77.35.57.35.64.25.6532.2<NA><NA>
1659일요일8호선2823남한산성입구하선5.43.65.24.85.75.45.38.38.1910.310.111.88.210.710.613.612.612.612.79.913.512.212.412.49.612.411.59.49.79.210.59.39.48.17.45<NA><NA>
1660일요일8호선2824단대오거리상선5.64.54.84.45.88.79.911.513.611.513.810.611.514.413.113.41517.112.912.612.112.212.311.610.18.98.16.475.98.85.45.56.85.83.82.2<NA><NA>
1661일요일8호선2824단대오거리하선6.33.24.33.16.25.25.88.39.210.210.812.910.49.810.310.81311.411.19.59.19.38.68.57.96.27.76.85.65.24.65.35.44.73.73.72.4<NA><NA>
1662일요일8호선2825신흥상선3.42.82.93.33.34.966.997.187.37.19.99.710.112.414.210.510.51010.211.310.59.788.94.77.15.27.55.25.56.55.23.42<NA><NA>
1663일요일8호선2825신흥하선6.93.442.86.35.468.29.310.510.512.510.79.69.210.311.89.58.97.97.27.56.76.35.25.65.54.73.93.533.13.52.92.32.11.7<NA><NA>
1664일요일8호선2826수진상선2.42.22.22.22.53.34.15.67.15.76.35.568.28.810.512.413.810.38.710.79.911910.66.79.166.64.66.45.94.85.54.43.41.5<NA><NA>
1665일요일8호선2826수진하선113.73.22.64.15.55.87.69.4109.510.41011.1109.411.98.88.27.47.47.47.665.253.132.52.82.31.91.41.31.410.4<NA><NA>
1666일요일8호선2827모란상선1.821.71.71.82.13.13.2545.344.76.77.29.410.313.19.68.39.49.910.58.310.15.99.46.36.44.55.15.95.35.74.23.41.5<NA><NA>
1667일요일8호선2827모란하선0000000000000000000000000000000000000<NA><NA>