Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory201.0 B

Variable types

DateTime1
Numeric1
Text21
Categorical1

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-12921/F/1/datasetView.do

Alerts

구분 has constant value ""Constant

Reproduction

Analysis started2024-04-29 16:34:10.247464
Analysis finished2024-04-29 16:34:11.424963
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct212
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-01-01 00:00:00
Maximum2015-07-31 00:00:00
2024-04-30T01:34:11.479303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:34:11.585990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

역번호
Real number (ℝ)

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.1442
Minimum150
Maximum434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:34:11.713382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile155
Q1220
median250
Q3338
95-th percentile429
Maximum434
Range284
Interquartile range (IQR)118

Descriptive statistics

Standard deviation86.940781
Coefficient of variation (CV)0.2996468
Kurtosis-1.1578297
Mean290.1442
Median Absolute Deviation (MAD)68
Skewness0.27036443
Sum2901442
Variance7558.6995
MonotonicityNot monotonic
2024-04-30T01:34:11.842463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
220 103
 
1.0%
212 98
 
1.0%
237 98
 
1.0%
208 96
 
1.0%
328 95
 
0.9%
431 95
 
0.9%
332 95
 
0.9%
157 95
 
0.9%
216 95
 
0.9%
244 94
 
0.9%
Other values (109) 9036
90.4%
ValueCountFrequency (%)
150 85
0.9%
151 87
0.9%
152 83
0.8%
153 82
0.8%
154 85
0.9%
155 88
0.9%
156 81
0.8%
157 95
0.9%
158 76
0.8%
159 70
0.7%
ValueCountFrequency (%)
434 92
0.9%
433 83
0.8%
432 85
0.9%
431 95
0.9%
430 75
0.8%
429 80
0.8%
428 79
0.8%
427 84
0.8%
426 89
0.9%
425 81
0.8%

역명
Text

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:12.075715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length8.0847
Min length7

Characters and Unicode

Total characters80847
Distinct characters152
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 row신림(230)
2nd row대청(337)
3rd row서초(224)
4th row안국(318)
5th row안국(318)
ValueCountFrequency (%)
선릉(220 103
 
1.0%
당산(237 98
 
1.0%
건대입구(212 98
 
1.0%
왕십리(성동구청)(208 96
 
1.0%
잠원(328 95
 
0.9%
제기동(157 95
 
0.9%
잠실(216 95
 
0.9%
양재(332 95
 
0.9%
동작(431 95
 
0.9%
지축(309 94
 
0.9%
Other values (109) 9036
90.4%
2024-04-30T01:34:12.448642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 10255
 
12.7%
) 10255
 
12.7%
2 7775
 
9.6%
3 6188
 
7.7%
4 4393
 
5.4%
1 4391
 
5.4%
0 2014
 
2.5%
5 1890
 
2.3%
1767
 
2.2%
1427
 
1.8%
Other values (142) 30492
37.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30504
37.7%
Other Letter 29833
36.9%
Open Punctuation 10255
 
12.7%
Close Punctuation 10255
 
12.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1767
 
5.9%
1427
 
4.8%
1239
 
4.2%
1199
 
4.0%
843
 
2.8%
768
 
2.6%
754
 
2.5%
746
 
2.5%
666
 
2.2%
580
 
1.9%
Other values (130) 19844
66.5%
Decimal Number
ValueCountFrequency (%)
2 7775
25.5%
3 6188
20.3%
4 4393
14.4%
1 4391
14.4%
0 2014
 
6.6%
5 1890
 
6.2%
9 1079
 
3.5%
6 931
 
3.1%
7 929
 
3.0%
8 914
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 10255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51014
63.1%
Hangul 29833
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1767
 
5.9%
1427
 
4.8%
1239
 
4.2%
1199
 
4.0%
843
 
2.8%
768
 
2.6%
754
 
2.5%
746
 
2.5%
666
 
2.2%
580
 
1.9%
Other values (130) 19844
66.5%
Common
ValueCountFrequency (%)
( 10255
20.1%
) 10255
20.1%
2 7775
15.2%
3 6188
12.1%
4 4393
8.6%
1 4391
8.6%
0 2014
 
3.9%
5 1890
 
3.7%
9 1079
 
2.1%
6 931
 
1.8%
Other values (2) 1843
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51014
63.1%
Hangul 29833
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 10255
20.1%
) 10255
20.1%
2 7775
15.2%
3 6188
12.1%
4 4393
8.6%
1 4391
8.6%
0 2014
 
3.9%
5 1890
 
3.7%
9 1079
 
2.1%
6 931
 
1.8%
Other values (2) 1843
 
3.6%
Hangul
ValueCountFrequency (%)
1767
 
5.9%
1427
 
4.8%
1239
 
4.2%
1199
 
4.0%
843
 
2.8%
768
 
2.6%
754
 
2.5%
746
 
2.5%
666
 
2.2%
580
 
1.9%
Other values (130) 19844
66.5%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 10000
100.0%

Length

2024-04-30T01:34:12.575464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:34:12.645862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 10000
100.0%

05~06
Text

Distinct1265
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:12.972408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.757
Min length2

Characters and Unicode

Total characters37570
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

Unique415 ?
Unique (%)4.2%

Sample

1st row1,604
2nd row170
3rd row64
4th row57
5th row66
ValueCountFrequency (%)
15 59
 
0.6%
43 56
 
0.6%
31 51
 
0.5%
29 50
 
0.5%
36 50
 
0.5%
13 49
 
0.5%
18 48
 
0.5%
35 46
 
0.5%
37 45
 
0.4%
52 45
 
0.4%
Other values (1255) 9501
95.0%
2024-04-30T01:34:13.463118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
26.6%
1 5080
13.5%
2 3417
 
9.1%
3 3060
 
8.1%
4 2844
 
7.6%
5 2668
 
7.1%
6 2178
 
5.8%
7 2088
 
5.6%
8 2039
 
5.4%
9 1984
 
5.3%
Other values (2) 2212
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27119
72.2%
Space Separator 10000
 
26.6%
Other Punctuation 451
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5080
18.7%
2 3417
12.6%
3 3060
11.3%
4 2844
10.5%
5 2668
9.8%
6 2178
8.0%
7 2088
7.7%
8 2039
7.5%
9 1984
 
7.3%
0 1761
 
6.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 451
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
26.6%
1 5080
13.5%
2 3417
 
9.1%
3 3060
 
8.1%
4 2844
 
7.6%
5 2668
 
7.1%
6 2178
 
5.8%
7 2088
 
5.6%
8 2039
 
5.4%
9 1984
 
5.3%
Other values (2) 2212
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
26.6%
1 5080
13.5%
2 3417
 
9.1%
3 3060
 
8.1%
4 2844
 
7.6%
5 2668
 
7.1%
6 2178
 
5.8%
7 2088
 
5.6%
8 2039
 
5.4%
9 1984
 
5.3%
Other values (2) 2212
 
5.9%

06~07
Text

Distinct2018
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:13.805584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1858
Min length2

Characters and Unicode

Total characters41858
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

Unique700 ?
Unique (%)7.0%

Sample

1st row3,370
2nd row580
3rd row242
4th row102
5th row145
ValueCountFrequency (%)
64 32
 
0.3%
122 31
 
0.3%
137 31
 
0.3%
88 30
 
0.3%
128 28
 
0.3%
146 28
 
0.3%
239 28
 
0.3%
123 27
 
0.3%
117 27
 
0.3%
32 27
 
0.3%
Other values (2008) 9711
97.1%
2024-04-30T01:34:14.284879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.9%
1 5147
12.3%
2 4065
9.7%
3 3439
 
8.2%
4 3105
 
7.4%
5 2788
 
6.7%
6 2452
 
5.9%
7 2354
 
5.6%
8 2325
 
5.6%
9 2282
 
5.5%
Other values (2) 3901
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30141
72.0%
Space Separator 10000
 
23.9%
Other Punctuation 1717
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5147
17.1%
2 4065
13.5%
3 3439
11.4%
4 3105
10.3%
5 2788
9.2%
6 2452
8.1%
7 2354
7.8%
8 2325
7.7%
9 2282
7.6%
0 2184
7.2%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1717
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41858
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.9%
1 5147
12.3%
2 4065
9.7%
3 3439
 
8.2%
4 3105
 
7.4%
5 2788
 
6.7%
6 2452
 
5.9%
7 2354
 
5.6%
8 2325
 
5.6%
9 2282
 
5.5%
Other values (2) 3901
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.9%
1 5147
12.3%
2 4065
9.7%
3 3439
 
8.2%
4 3105
 
7.4%
5 2788
 
6.7%
6 2452
 
5.9%
7 2354
 
5.6%
8 2325
 
5.6%
9 2282
 
5.5%
Other values (2) 3901
 
9.3%

07~08
Text

Distinct3653
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:14.644220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.7886
Min length2

Characters and Unicode

Total characters47886
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

Unique1837 ?
Unique (%)18.4%

Sample

1st row11,596
2nd row1,876
3rd row684
4th row172
5th row353
ValueCountFrequency (%)
0 41
 
0.4%
220 23
 
0.2%
226 22
 
0.2%
71 21
 
0.2%
230 20
 
0.2%
67 18
 
0.2%
105 18
 
0.2%
275 18
 
0.2%
65 18
 
0.2%
276 17
 
0.2%
Other values (3643) 9784
97.8%
2024-04-30T01:34:15.098228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.9%
1 5395
11.3%
2 4610
9.6%
, 4323
9.0%
3 4030
8.4%
4 3241
 
6.8%
5 2833
 
5.9%
6 2802
 
5.9%
7 2794
 
5.8%
0 2664
 
5.6%
Other values (2) 5194
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33563
70.1%
Space Separator 10000
 
20.9%
Other Punctuation 4323
 
9.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5395
16.1%
2 4610
13.7%
3 4030
12.0%
4 3241
9.7%
5 2833
8.4%
6 2802
8.3%
7 2794
8.3%
0 2664
7.9%
8 2651
7.9%
9 2543
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47886
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.9%
1 5395
11.3%
2 4610
9.6%
, 4323
9.0%
3 4030
8.4%
4 3241
 
6.8%
5 2833
 
5.9%
6 2802
 
5.9%
7 2794
 
5.8%
0 2664
 
5.6%
Other values (2) 5194
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.9%
1 5395
11.3%
2 4610
9.6%
, 4323
9.0%
3 4030
8.4%
4 3241
 
6.8%
5 2833
 
5.9%
6 2802
 
5.9%
7 2794
 
5.8%
0 2664
 
5.6%
Other values (2) 5194
10.8%

08~09
Text

Distinct4035
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:15.442096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.0234
Min length2

Characters and Unicode

Total characters50234
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

Unique1916 ?
Unique (%)19.2%

Sample

1st row15,061
2nd row1,797
3rd row1,269
4th row310
5th row471
ValueCountFrequency (%)
0 41
 
0.4%
356 19
 
0.2%
371 17
 
0.2%
370 15
 
0.1%
358 15
 
0.1%
400 15
 
0.1%
341 14
 
0.1%
394 14
 
0.1%
395 14
 
0.1%
372 14
 
0.1%
Other values (4025) 9822
98.2%
2024-04-30T01:34:15.902963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
19.9%
1 5721
11.4%
, 5281
10.5%
3 4128
8.2%
2 4107
8.2%
4 3568
 
7.1%
5 3274
 
6.5%
0 2921
 
5.8%
6 2860
 
5.7%
8 2837
 
5.6%
Other values (2) 5537
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34953
69.6%
Space Separator 10000
 
19.9%
Other Punctuation 5281
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5721
16.4%
3 4128
11.8%
2 4107
11.8%
4 3568
10.2%
5 3274
9.4%
0 2921
8.4%
6 2860
8.2%
8 2837
8.1%
9 2787
8.0%
7 2750
7.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5281
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
19.9%
1 5721
11.4%
, 5281
10.5%
3 4128
8.2%
2 4107
8.2%
4 3568
 
7.1%
5 3274
 
6.5%
0 2921
 
5.8%
6 2860
 
5.7%
8 2837
 
5.6%
Other values (2) 5537
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
19.9%
1 5721
11.4%
, 5281
10.5%
3 4128
8.2%
2 4107
8.2%
4 3568
 
7.1%
5 3274
 
6.5%
0 2921
 
5.8%
6 2860
 
5.7%
8 2837
 
5.6%
Other values (2) 5537
11.0%

09~10
Text

Distinct3233
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:16.260763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.8288
Min length3

Characters and Unicode

Total characters48288
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

Unique1222 ?
Unique (%)12.2%

Sample

1st row7,121
2nd row817
3rd row948
4th row400
5th row414
ValueCountFrequency (%)
158 14
 
0.1%
485 14
 
0.1%
492 14
 
0.1%
512 14
 
0.1%
513 14
 
0.1%
541 14
 
0.1%
533 14
 
0.1%
637 13
 
0.1%
661 13
 
0.1%
551 13
 
0.1%
Other values (3223) 9863
98.6%
2024-04-30T01:34:16.761898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.7%
1 5683
11.8%
, 4292
8.9%
2 3931
 
8.1%
3 3474
 
7.2%
5 3250
 
6.7%
4 3240
 
6.7%
6 3104
 
6.4%
7 3011
 
6.2%
8 2928
 
6.1%
Other values (2) 5375
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33996
70.4%
Space Separator 10000
 
20.7%
Other Punctuation 4292
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5683
16.7%
2 3931
11.6%
3 3474
10.2%
5 3250
9.6%
4 3240
9.5%
6 3104
9.1%
7 3011
8.9%
8 2928
8.6%
9 2792
8.2%
0 2583
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.7%
1 5683
11.8%
, 4292
8.9%
2 3931
 
8.1%
3 3474
 
7.2%
5 3250
 
6.7%
4 3240
 
6.7%
6 3104
 
6.4%
7 3011
 
6.2%
8 2928
 
6.1%
Other values (2) 5375
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.7%
1 5683
11.8%
, 4292
8.9%
2 3931
 
8.1%
3 3474
 
7.2%
5 3250
 
6.7%
4 3240
 
6.7%
6 3104
 
6.4%
7 3011
 
6.2%
8 2928
 
6.1%
Other values (2) 5375
11.1%

10~11
Text

Distinct2653
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:17.109765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.7178
Min length3

Characters and Unicode

Total characters47178
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

Unique814 ?
Unique (%)8.1%

Sample

1st row3,563
2nd row542
3rd row678
4th row516
5th row530
ValueCountFrequency (%)
550 19
 
0.2%
556 15
 
0.1%
484 15
 
0.1%
571 14
 
0.1%
539 14
 
0.1%
519 14
 
0.1%
639 14
 
0.1%
657 14
 
0.1%
521 14
 
0.1%
436 14
 
0.1%
Other values (2643) 9853
98.5%
2024-04-30T01:34:17.561641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.2%
1 5835
12.4%
, 3791
 
8.0%
2 3673
 
7.8%
3 3356
 
7.1%
5 3220
 
6.8%
4 3144
 
6.7%
6 3075
 
6.5%
7 2999
 
6.4%
8 2838
 
6.0%
Other values (2) 5247
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33387
70.8%
Space Separator 10000
 
21.2%
Other Punctuation 3791
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5835
17.5%
2 3673
11.0%
3 3356
10.1%
5 3220
9.6%
4 3144
9.4%
6 3075
9.2%
7 2999
9.0%
8 2838
8.5%
9 2670
8.0%
0 2577
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3791
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.2%
1 5835
12.4%
, 3791
 
8.0%
2 3673
 
7.8%
3 3356
 
7.1%
5 3220
 
6.8%
4 3144
 
6.7%
6 3075
 
6.5%
7 2999
 
6.4%
8 2838
 
6.0%
Other values (2) 5247
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.2%
1 5835
12.4%
, 3791
 
8.0%
2 3673
 
7.8%
3 3356
 
7.1%
5 3220
 
6.8%
4 3144
 
6.7%
6 3075
 
6.5%
7 2999
 
6.4%
8 2838
 
6.0%
Other values (2) 5247
11.1%

11~12
Text

Distinct2672
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:17.907885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.8064
Min length3

Characters and Unicode

Total characters48064
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

Unique749 ?
Unique (%)7.5%

Sample

1st row2,958
2nd row525
3rd row794
4th row1,069
5th row946
ValueCountFrequency (%)
469 17
 
0.2%
541 15
 
0.1%
525 15
 
0.1%
339 15
 
0.1%
579 15
 
0.1%
526 14
 
0.1%
534 14
 
0.1%
518 14
 
0.1%
539 13
 
0.1%
1,124 13
 
0.1%
Other values (2662) 9855
98.6%
2024-04-30T01:34:18.373178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.8%
1 6168
12.8%
, 4235
8.8%
2 3795
 
7.9%
3 3433
 
7.1%
4 3236
 
6.7%
5 3213
 
6.7%
6 2970
 
6.2%
7 2900
 
6.0%
8 2829
 
5.9%
Other values (2) 5285
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33829
70.4%
Space Separator 10000
 
20.8%
Other Punctuation 4235
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6168
18.2%
2 3795
11.2%
3 3433
10.1%
4 3236
9.6%
5 3213
9.5%
6 2970
8.8%
7 2900
8.6%
8 2829
8.4%
9 2645
7.8%
0 2640
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.8%
1 6168
12.8%
, 4235
8.8%
2 3795
 
7.9%
3 3433
 
7.1%
4 3236
 
6.7%
5 3213
 
6.7%
6 2970
 
6.2%
7 2900
 
6.0%
8 2829
 
5.9%
Other values (2) 5285
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.8%
1 6168
12.8%
, 4235
8.8%
2 3795
 
7.9%
3 3433
 
7.1%
4 3236
 
6.7%
5 3213
 
6.7%
6 2970
 
6.2%
7 2900
 
6.0%
8 2829
 
5.9%
Other values (2) 5285
11.0%

12~13
Text

Distinct2871
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:18.710458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.9066
Min length3

Characters and Unicode

Total characters49066
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

Unique835 ?
Unique (%)8.3%

Sample

1st row3,202
2nd row452
3rd row800
4th row1,577
5th row1,410
ValueCountFrequency (%)
482 17
 
0.2%
546 15
 
0.1%
769 15
 
0.1%
429 14
 
0.1%
71 14
 
0.1%
795 14
 
0.1%
49 13
 
0.1%
827 13
 
0.1%
515 12
 
0.1%
914 12
 
0.1%
Other values (2861) 9861
98.6%
2024-04-30T01:34:19.211630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.4%
1 6460
13.2%
, 4732
9.6%
2 3896
 
7.9%
3 3278
 
6.7%
5 3227
 
6.6%
4 3158
 
6.4%
6 2981
 
6.1%
7 2960
 
6.0%
8 2909
 
5.9%
Other values (2) 5465
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34334
70.0%
Space Separator 10000
 
20.4%
Other Punctuation 4732
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6460
18.8%
2 3896
11.3%
3 3278
9.5%
5 3227
9.4%
4 3158
9.2%
6 2981
8.7%
7 2960
8.6%
8 2909
8.5%
9 2762
8.0%
0 2703
7.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4732
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49066
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.4%
1 6460
13.2%
, 4732
9.6%
2 3896
 
7.9%
3 3278
 
6.7%
5 3227
 
6.6%
4 3158
 
6.4%
6 2981
 
6.1%
7 2960
 
6.0%
8 2909
 
5.9%
Other values (2) 5465
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49066
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.4%
1 6460
13.2%
, 4732
9.6%
2 3896
 
7.9%
3 3278
 
6.7%
5 3227
 
6.6%
4 3158
 
6.4%
6 2981
 
6.1%
7 2960
 
6.0%
8 2909
 
5.9%
Other values (2) 5465
11.1%

13~14
Text

Distinct3125
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:19.555804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.024
Min length3

Characters and Unicode

Total characters50240
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

Unique974 ?
Unique (%)9.7%

Sample

1st row3,432
2nd row475
3rd row1,087
4th row1,884
5th row1,334
ValueCountFrequency (%)
486 13
 
0.1%
1,008 12
 
0.1%
475 12
 
0.1%
551 12
 
0.1%
479 12
 
0.1%
784 12
 
0.1%
54 11
 
0.1%
499 11
 
0.1%
1,003 11
 
0.1%
483 11
 
0.1%
Other values (3115) 9883
98.8%
2024-04-30T01:34:20.003699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
19.9%
1 6494
12.9%
, 5308
10.6%
2 4324
8.6%
3 3367
 
6.7%
4 3307
 
6.6%
5 3163
 
6.3%
6 2915
 
5.8%
0 2883
 
5.7%
8 2854
 
5.7%
Other values (2) 5625
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34932
69.5%
Space Separator 10000
 
19.9%
Other Punctuation 5308
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6494
18.6%
2 4324
12.4%
3 3367
9.6%
4 3307
9.5%
5 3163
9.1%
6 2915
8.3%
0 2883
8.3%
8 2854
8.2%
7 2819
8.1%
9 2806
8.0%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
19.9%
1 6494
12.9%
, 5308
10.6%
2 4324
8.6%
3 3367
 
6.7%
4 3307
 
6.6%
5 3163
 
6.3%
6 2915
 
5.8%
0 2883
 
5.7%
8 2854
 
5.7%
Other values (2) 5625
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
19.9%
1 6494
12.9%
, 5308
10.6%
2 4324
8.6%
3 3367
 
6.7%
4 3307
 
6.6%
5 3163
 
6.3%
6 2915
 
5.8%
0 2883
 
5.7%
8 2854
 
5.7%
Other values (2) 5625
11.2%

14~15
Text

Distinct3174
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:20.354029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.0252
Min length3

Characters and Unicode

Total characters50252
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

Unique993 ?
Unique (%)9.9%

Sample

1st row2,946
2nd row399
3rd row1,268
4th row2,387
5th row1,635
ValueCountFrequency (%)
1,036 17
 
0.2%
1,071 14
 
0.1%
936 14
 
0.1%
543 13
 
0.1%
487 13
 
0.1%
425 13
 
0.1%
1,128 13
 
0.1%
511 13
 
0.1%
791 13
 
0.1%
450 12
 
0.1%
Other values (3164) 9865
98.7%
2024-04-30T01:34:20.821267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
19.9%
1 6360
12.7%
, 5314
10.6%
2 4549
9.1%
3 3453
 
6.9%
4 3232
 
6.4%
5 3138
 
6.2%
0 2906
 
5.8%
6 2888
 
5.7%
7 2833
 
5.6%
Other values (2) 5579
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34938
69.5%
Space Separator 10000
 
19.9%
Other Punctuation 5314
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6360
18.2%
2 4549
13.0%
3 3453
9.9%
4 3232
9.3%
5 3138
9.0%
0 2906
8.3%
6 2888
8.3%
7 2833
8.1%
8 2809
8.0%
9 2770
7.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5314
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
19.9%
1 6360
12.7%
, 5314
10.6%
2 4549
9.1%
3 3453
 
6.9%
4 3232
 
6.4%
5 3138
 
6.2%
0 2906
 
5.8%
6 2888
 
5.7%
7 2833
 
5.6%
Other values (2) 5579
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
19.9%
1 6360
12.7%
, 5314
10.6%
2 4549
9.1%
3 3453
 
6.9%
4 3232
 
6.4%
5 3138
 
6.2%
0 2906
 
5.8%
6 2888
 
5.7%
7 2833
 
5.6%
Other values (2) 5579
11.1%

15~16
Text

Distinct3445
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:21.161275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.0818
Min length3

Characters and Unicode

Total characters50818
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

Unique1244 ?
Unique (%)12.4%

Sample

1st row3,140
2nd row492
3rd row1,603
4th row2,936
5th row2,018
ValueCountFrequency (%)
122 14
 
0.1%
610 14
 
0.1%
1,073 13
 
0.1%
688 13
 
0.1%
510 13
 
0.1%
55 12
 
0.1%
653 12
 
0.1%
59 12
 
0.1%
798 12
 
0.1%
1,127 12
 
0.1%
Other values (3435) 9873
98.7%
2024-04-30T01:34:21.843984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
19.7%
1 6260
12.3%
, 5593
11.0%
2 4551
9.0%
3 3785
 
7.4%
4 3230
 
6.4%
5 3132
 
6.2%
6 2970
 
5.8%
7 2871
 
5.6%
9 2860
 
5.6%
Other values (2) 5566
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35225
69.3%
Space Separator 10000
 
19.7%
Other Punctuation 5593
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6260
17.8%
2 4551
12.9%
3 3785
10.7%
4 3230
9.2%
5 3132
8.9%
6 2970
8.4%
7 2871
8.2%
9 2860
8.1%
0 2786
7.9%
8 2780
7.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5593
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50818
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
19.7%
1 6260
12.3%
, 5593
11.0%
2 4551
9.0%
3 3785
 
7.4%
4 3230
 
6.4%
5 3132
 
6.2%
6 2970
 
5.8%
7 2871
 
5.6%
9 2860
 
5.6%
Other values (2) 5566
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
19.7%
1 6260
12.3%
, 5593
11.0%
2 4551
9.0%
3 3785
 
7.4%
4 3230
 
6.4%
5 3132
 
6.2%
6 2970
 
5.8%
7 2871
 
5.6%
9 2860
 
5.6%
Other values (2) 5566
11.0%

16~17
Text

Distinct3649
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:22.186757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.1859
Min length3

Characters and Unicode

Total characters51859
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

Unique1332 ?
Unique (%)13.3%

Sample

1st row2,958
2nd row786
3rd row1,546
4th row3,548
5th row2,042
ValueCountFrequency (%)
1,225 14
 
0.1%
1,018 13
 
0.1%
903 13
 
0.1%
55 13
 
0.1%
1,134 12
 
0.1%
1,216 12
 
0.1%
1,131 12
 
0.1%
1,300 12
 
0.1%
1,236 11
 
0.1%
1,075 11
 
0.1%
Other values (3639) 9877
98.8%
2024-04-30T01:34:22.644720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
19.3%
1 6452
12.4%
, 6080
11.7%
2 4598
8.9%
3 3959
 
7.6%
4 3329
 
6.4%
5 3159
 
6.1%
6 3114
 
6.0%
7 2863
 
5.5%
0 2799
 
5.4%
Other values (2) 5506
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35779
69.0%
Space Separator 10000
 
19.3%
Other Punctuation 6080
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6452
18.0%
2 4598
12.9%
3 3959
11.1%
4 3329
9.3%
5 3159
8.8%
6 3114
8.7%
7 2863
8.0%
0 2799
7.8%
8 2784
7.8%
9 2722
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6080
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51859
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
19.3%
1 6452
12.4%
, 6080
11.7%
2 4598
8.9%
3 3959
 
7.6%
4 3329
 
6.4%
5 3159
 
6.1%
6 3114
 
6.0%
7 2863
 
5.5%
0 2799
 
5.4%
Other values (2) 5506
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51859
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
19.3%
1 6452
12.4%
, 6080
11.7%
2 4598
8.9%
3 3959
 
7.6%
4 3329
 
6.4%
5 3159
 
6.1%
6 3114
 
6.0%
7 2863
 
5.5%
0 2799
 
5.4%
Other values (2) 5506
10.6%

17~18
Text

Distinct4144
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:23.004287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.2989
Min length3

Characters and Unicode

Total characters52989
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

Unique1720 ?
Unique (%)17.2%

Sample

1st row3,344
2nd row878
3rd row2,312
4th row4,159
5th row2,640
ValueCountFrequency (%)
77 11
 
0.1%
794 11
 
0.1%
91 10
 
0.1%
1,113 10
 
0.1%
1,415 10
 
0.1%
1,136 10
 
0.1%
884 10
 
0.1%
1,062 10
 
0.1%
1,095 9
 
0.1%
1,145 9
 
0.1%
Other values (4134) 9900
99.0%
2024-04-30T01:34:23.506474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
18.9%
, 6661
12.6%
1 6474
12.2%
2 4313
8.1%
3 4052
7.6%
4 3499
 
6.6%
5 3195
 
6.0%
6 3146
 
5.9%
7 2981
 
5.6%
0 2912
 
5.5%
Other values (2) 5756
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36328
68.6%
Space Separator 10000
 
18.9%
Other Punctuation 6661
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6474
17.8%
2 4313
11.9%
3 4052
11.2%
4 3499
9.6%
5 3195
8.8%
6 3146
8.7%
7 2981
8.2%
0 2912
8.0%
9 2882
7.9%
8 2874
7.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6661
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52989
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
18.9%
, 6661
12.6%
1 6474
12.2%
2 4313
8.1%
3 4052
7.6%
4 3499
 
6.6%
5 3195
 
6.0%
6 3146
 
5.9%
7 2981
 
5.6%
0 2912
 
5.5%
Other values (2) 5756
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
18.9%
, 6661
12.6%
1 6474
12.2%
2 4313
8.1%
3 4052
7.6%
4 3499
 
6.6%
5 3195
 
6.0%
6 3146
 
5.9%
7 2981
 
5.6%
0 2912
 
5.5%
Other values (2) 5756
10.9%

18~19
Text

Distinct5034
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:23.879199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.3868
Min length3

Characters and Unicode

Total characters53868
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

Unique2626 ?
Unique (%)26.3%

Sample

1st row4,031
2nd row1,350
3rd row4,963
4th row3,703
5th row5,504
ValueCountFrequency (%)
125 13
 
0.1%
83 12
 
0.1%
72 12
 
0.1%
137 10
 
0.1%
68 10
 
0.1%
275 10
 
0.1%
69 10
 
0.1%
256 10
 
0.1%
964 10
 
0.1%
441 10
 
0.1%
Other values (5024) 9893
98.9%
2024-04-30T01:34:24.353630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
18.6%
, 6894
12.8%
1 5883
10.9%
2 4746
8.8%
3 3754
 
7.0%
4 3672
 
6.8%
5 3442
 
6.4%
6 3403
 
6.3%
7 3104
 
5.8%
9 3068
 
5.7%
Other values (2) 5902
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36974
68.6%
Space Separator 10000
 
18.6%
Other Punctuation 6894
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5883
15.9%
2 4746
12.8%
3 3754
10.2%
4 3672
9.9%
5 3442
9.3%
6 3403
9.2%
7 3104
8.4%
9 3068
8.3%
8 3008
8.1%
0 2894
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6894
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53868
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
18.6%
, 6894
12.8%
1 5883
10.9%
2 4746
8.8%
3 3754
 
7.0%
4 3672
 
6.8%
5 3442
 
6.4%
6 3403
 
6.3%
7 3104
 
5.8%
9 3068
 
5.7%
Other values (2) 5902
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53868
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
18.6%
, 6894
12.8%
1 5883
10.9%
2 4746
8.8%
3 3754
 
7.0%
4 3672
 
6.8%
5 3442
 
6.4%
6 3403
 
6.3%
7 3104
 
5.8%
9 3068
 
5.7%
Other values (2) 5902
11.0%

19~20
Text

Distinct4120
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:24.709203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.1019
Min length2

Characters and Unicode

Total characters51019
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

Unique1875 ?
Unique (%)18.8%

Sample

1st row3,128
2nd row698
3rd row2,212
4th row2,543
5th row2,784
ValueCountFrequency (%)
53 16
 
0.2%
47 13
 
0.1%
41 12
 
0.1%
909 12
 
0.1%
164 11
 
0.1%
1,076 11
 
0.1%
368 11
 
0.1%
441 11
 
0.1%
52 11
 
0.1%
884 11
 
0.1%
Other values (4110) 9881
98.8%
2024-04-30T01:34:25.177031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
19.6%
1 6063
11.9%
, 5736
11.2%
2 4083
8.0%
3 3870
 
7.6%
4 3476
 
6.8%
5 3311
 
6.5%
6 3115
 
6.1%
7 2975
 
5.8%
8 2820
 
5.5%
Other values (2) 5570
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35283
69.2%
Space Separator 10000
 
19.6%
Other Punctuation 5736
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6063
17.2%
2 4083
11.6%
3 3870
11.0%
4 3476
9.9%
5 3311
9.4%
6 3115
8.8%
7 2975
8.4%
8 2820
8.0%
0 2803
7.9%
9 2767
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5736
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51019
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
19.6%
1 6063
11.9%
, 5736
11.2%
2 4083
8.0%
3 3870
 
7.6%
4 3476
 
6.8%
5 3311
 
6.5%
6 3115
 
6.1%
7 2975
 
5.8%
8 2820
 
5.5%
Other values (2) 5570
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
19.6%
1 6063
11.9%
, 5736
11.2%
2 4083
8.0%
3 3870
 
7.6%
4 3476
 
6.8%
5 3311
 
6.5%
6 3115
 
6.1%
7 2975
 
5.8%
8 2820
 
5.5%
Other values (2) 5570
10.9%

20~21
Text

Distinct3594
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:25.545902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.863
Min length2

Characters and Unicode

Total characters48630
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

Unique1580 ?
Unique (%)15.8%

Sample

1st row2,432
2nd row496
3rd row1,311
4th row2,112
5th row1,771
ValueCountFrequency (%)
326 16
 
0.2%
24 15
 
0.1%
329 14
 
0.1%
220 14
 
0.1%
315 14
 
0.1%
52 13
 
0.1%
608 13
 
0.1%
293 13
 
0.1%
104 13
 
0.1%
21 13
 
0.1%
Other values (3584) 9862
98.6%
2024-04-30T01:34:26.005906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.6%
1 5632
11.6%
, 4656
9.6%
2 4325
8.9%
3 3784
 
7.8%
4 3333
 
6.9%
5 3066
 
6.3%
6 3000
 
6.2%
7 2850
 
5.9%
8 2835
 
5.8%
Other values (2) 5149
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33974
69.9%
Space Separator 10000
 
20.6%
Other Punctuation 4656
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5632
16.6%
2 4325
12.7%
3 3784
11.1%
4 3333
9.8%
5 3066
9.0%
6 3000
8.8%
7 2850
8.4%
8 2835
8.3%
0 2610
7.7%
9 2539
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4656
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.6%
1 5632
11.6%
, 4656
9.6%
2 4325
8.9%
3 3784
 
7.8%
4 3333
 
6.9%
5 3066
 
6.3%
6 3000
 
6.2%
7 2850
 
5.9%
8 2835
 
5.8%
Other values (2) 5149
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.6%
1 5632
11.6%
, 4656
9.6%
2 4325
8.9%
3 3784
 
7.8%
4 3333
 
6.9%
5 3066
 
6.3%
6 3000
 
6.2%
7 2850
 
5.9%
8 2835
 
5.8%
Other values (2) 5149
10.6%

21~22
Text

Distinct3575
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:26.371891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.8167
Min length2

Characters and Unicode

Total characters48167
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

Unique1627 ?
Unique (%)16.3%

Sample

1st row2,542
2nd row428
3rd row1,493
4th row1,754
5th row2,086
ValueCountFrequency (%)
9 24
 
0.2%
20 18
 
0.2%
120 16
 
0.2%
213 16
 
0.2%
17 16
 
0.2%
13 15
 
0.1%
41 15
 
0.1%
129 15
 
0.1%
11 15
 
0.1%
8 14
 
0.1%
Other values (3565) 9836
98.4%
2024-04-30T01:34:26.813244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.8%
1 5730
11.9%
, 4469
9.3%
2 4047
8.4%
3 3936
 
8.2%
4 3306
 
6.9%
5 3095
 
6.4%
6 3004
 
6.2%
7 2786
 
5.8%
8 2608
 
5.4%
Other values (2) 5186
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33698
70.0%
Space Separator 10000
 
20.8%
Other Punctuation 4469
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5730
17.0%
2 4047
12.0%
3 3936
11.7%
4 3306
9.8%
5 3095
9.2%
6 3004
8.9%
7 2786
8.3%
8 2608
7.7%
0 2598
7.7%
9 2588
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4469
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.8%
1 5730
11.9%
, 4469
9.3%
2 4047
8.4%
3 3936
 
8.2%
4 3306
 
6.9%
5 3095
 
6.4%
6 3004
 
6.2%
7 2786
 
5.8%
8 2608
 
5.4%
Other values (2) 5186
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.8%
1 5730
11.9%
, 4469
9.3%
2 4047
8.4%
3 3936
 
8.2%
4 3306
 
6.9%
5 3095
 
6.4%
6 3004
 
6.2%
7 2786
 
5.8%
8 2608
 
5.4%
Other values (2) 5186
10.8%

22~23
Text

Distinct3304
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:27.146864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.653
Min length2

Characters and Unicode

Total characters46530
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

Unique1462 ?
Unique (%)14.6%

Sample

1st row2,325
2nd row423
3rd row1,300
4th row1,077
5th row1,303
ValueCountFrequency (%)
0 46
 
0.5%
7 23
 
0.2%
12 23
 
0.2%
9 21
 
0.2%
13 20
 
0.2%
150 20
 
0.2%
213 19
 
0.2%
6 19
 
0.2%
122 19
 
0.2%
16 18
 
0.2%
Other values (3294) 9772
97.7%
2024-04-30T01:34:27.632709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.5%
1 5485
11.8%
2 4040
8.7%
, 3790
 
8.1%
3 3664
 
7.9%
5 3216
 
6.9%
4 3204
 
6.9%
6 2724
 
5.9%
7 2657
 
5.7%
9 2640
 
5.7%
Other values (2) 5110
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32740
70.4%
Space Separator 10000
 
21.5%
Other Punctuation 3790
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5485
16.8%
2 4040
12.3%
3 3664
11.2%
5 3216
9.8%
4 3204
9.8%
6 2724
8.3%
7 2657
8.1%
9 2640
8.1%
8 2592
7.9%
0 2518
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3790
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.5%
1 5485
11.8%
2 4040
8.7%
, 3790
 
8.1%
3 3664
 
7.9%
5 3216
 
6.9%
4 3204
 
6.9%
6 2724
 
5.9%
7 2657
 
5.7%
9 2640
 
5.7%
Other values (2) 5110
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.5%
1 5485
11.8%
2 4040
8.7%
, 3790
 
8.1%
3 3664
 
7.9%
5 3216
 
6.9%
4 3204
 
6.9%
6 2724
 
5.9%
7 2657
 
5.7%
9 2640
 
5.7%
Other values (2) 5110
11.0%

23~24
Text

Distinct2122
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:27.984948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.092
Min length2

Characters and Unicode

Total characters40920
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

Unique833 ?
Unique (%)8.3%

Sample

1st row1,302
2nd row152
3rd row338
4th row294
5th row464
ValueCountFrequency (%)
0 52
 
0.5%
4 48
 
0.5%
5 43
 
0.4%
3 42
 
0.4%
2 38
 
0.4%
102 34
 
0.3%
1 32
 
0.3%
8 31
 
0.3%
6 31
 
0.3%
35 30
 
0.3%
Other values (2112) 9619
96.2%
2024-04-30T01:34:28.482342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
24.4%
1 5043
12.3%
2 3791
 
9.3%
3 3109
 
7.6%
4 3008
 
7.4%
5 2798
 
6.8%
6 2477
 
6.1%
7 2330
 
5.7%
8 2211
 
5.4%
0 2187
 
5.3%
Other values (2) 3966
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29107
71.1%
Space Separator 10000
 
24.4%
Other Punctuation 1813
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5043
17.3%
2 3791
13.0%
3 3109
10.7%
4 3008
10.3%
5 2798
9.6%
6 2477
8.5%
7 2330
8.0%
8 2211
7.6%
0 2187
7.5%
9 2153
7.4%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1813
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
24.4%
1 5043
12.3%
2 3791
 
9.3%
3 3109
 
7.6%
4 3008
 
7.4%
5 2798
 
6.8%
6 2477
 
6.1%
7 2330
 
5.7%
8 2211
 
5.4%
0 2187
 
5.3%
Other values (2) 3966
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
24.4%
1 5043
12.3%
2 3791
 
9.3%
3 3109
 
7.6%
4 3008
 
7.4%
5 2798
 
6.8%
6 2477
 
6.1%
7 2330
 
5.7%
8 2211
 
5.4%
0 2187
 
5.3%
Other values (2) 3966
 
9.7%

24~
Text

Distinct633
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:28.799142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length2.89
Min length2

Characters and Unicode

Total characters28900
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

Unique201 ?
Unique (%)2.0%

Sample

1st row279
2nd row19
3rd row60
4th row0
5th row52
ValueCountFrequency (%)
0 2144
 
21.4%
1 457
 
4.6%
2 265
 
2.6%
3 171
 
1.7%
5 127
 
1.3%
4 127
 
1.3%
7 115
 
1.1%
6 102
 
1.0%
11 99
 
1.0%
9 96
 
1.0%
Other values (623) 6297
63.0%
2024-04-30T01:34:29.232612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
34.6%
1 3650
 
12.6%
0 3231
 
11.2%
2 2504
 
8.7%
3 1895
 
6.6%
4 1574
 
5.4%
5 1376
 
4.8%
7 1224
 
4.2%
6 1198
 
4.1%
8 1110
 
3.8%
Other values (2) 1138
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18845
65.2%
Space Separator 10000
34.6%
Other Punctuation 55
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3650
19.4%
0 3231
17.1%
2 2504
13.3%
3 1895
10.1%
4 1574
8.4%
5 1376
 
7.3%
7 1224
 
6.5%
6 1198
 
6.4%
8 1110
 
5.9%
9 1083
 
5.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
34.6%
1 3650
 
12.6%
0 3231
 
11.2%
2 2504
 
8.7%
3 1895
 
6.6%
4 1574
 
5.4%
5 1376
 
4.8%
7 1224
 
4.2%
6 1198
 
4.1%
8 1110
 
3.8%
Other values (2) 1138
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
34.6%
1 3650
 
12.6%
0 3231
 
11.2%
2 2504
 
8.7%
3 1895
 
6.6%
4 1574
 
5.4%
5 1376
 
4.8%
7 1224
 
4.2%
6 1198
 
4.1%
8 1110
 
3.8%
Other values (2) 1138
 
3.9%

Sample

날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
21812015-01-19230신림(230)승차1,6043,37011,59615,0617,1213,5632,9583,2023,4322,9463,1402,9583,3444,0313,1282,4322,5422,3251,302279
113922015-04-06337대청(337)승차1705801,8761,7978175425254524753994927868781,35069849642842315219
5092015-01-05224서초(224)승차642426841,2699486787948001,0871,2681,6031,5462,3124,9632,2121,3111,4931,30033860
103032015-03-28318안국(318)승차571021723104005161,0691,5771,8842,3872,9363,5484,1593,7032,5432,1121,7541,0772940
47102015-02-09318안국(318)승차661453534714145309461,4101,3341,6352,0182,0422,6405,5042,7841,7712,0861,30346452
137392015-04-26245신답(245)승차17292761667288738963634446374121131430
57102015-02-17433사당(433)승차3291,0423,6394,0062,7501,6921,5251,5171,7121,6631,6301,6251,8412,1241,6171,1981,192996637121
145622015-05-03235문래(235)승차901432263814644684637736985686355685204263933653394051240
213172015-06-15220선릉(220)승차2135821,2531,5471,3411,5331,9522,1202,5712,8473,8984,3656,22912,9528,0114,9354,7303,6351,389245
222662015-07-21205동대문역사문화공원(205)승차4011953184674034295877447779651,1281,3071,6332,3651,5621,1201,134898592157
날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
6412015-01-06237당산(237)승차2778502,8553,2901,8731,0951,0659811,0459199581,0631,7922,8221,5641,0011,06376938782
181802015-06-16208왕십리(성동구청)(208)승차3615721,5082,1461,1317267147847877339351,2601,3691,7621,2471,1481,0991,258692120
23102015-01-20240신촌(240)승차3016562,1922,9311,7721,6812,2072,5733,2352,8123,3963,7114,6594,9383,7383,7063,8254,6312,131373
236602015-07-20240신촌(240)승차3847102,2032,7071,5471,5581,9662,3722,8022,7533,1443,3164,0184,4163,2733,2663,6364,0931,942346
109002015-04-02320을지로3가(320)승차2240951582412893253634825426676281,0242,5951,81885992259330855
224212015-07-31316독립문(316)승차2242526457865474464756154554675545035906444132551891496821
82482015-03-11228서울대입구(228)승차1,3612,0477,1728,9534,7092,4262,2122,2612,5462,2332,5673,2103,8635,0173,2442,5332,7642,4481,276234
240802015-07-18247도림천(247)승차15192643494610365575651566039121661060
63962015-02-23339수서(339)승차1715751,4461,5298866716066096345656386789241,62386753751133212220
196032015-06-22230신림(230)승차1,9193,82312,00714,3146,7333,1112,6502,6972,8462,4272,4822,5773,0603,7043,0082,3722,4592,1271,167284