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

Reproduction

Analysis started2024-04-29 16:36:30.404203
Analysis finished2024-04-29 16:36:31.453701
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2009-01-01 00:00:00
Maximum2009-02-20 00:00:00
2024-04-30T01:36:31.515046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:36:31.639637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

역번호
Real number (ℝ)

Distinct263
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1613.2028
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:36:31.780478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204
Q1314
median2526
Q32642
95-th percentile2815
Maximum2827
Range2677
Interquartile range (IQR)2328

Descriptive statistics

Standard deviation1175.0717
Coefficient of variation (CV)0.72840915
Kurtosis-1.9157346
Mean1613.2028
Median Absolute Deviation (MAD)286
Skewness-0.241635
Sum16132028
Variance1380793.5
MonotonicityNot monotonic
2024-04-30T01:36:31.911628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
426 52
 
0.5%
2531 51
 
0.5%
2521 50
 
0.5%
2537 49
 
0.5%
2740 48
 
0.5%
2536 47
 
0.5%
222 47
 
0.5%
229 47
 
0.5%
2557 47
 
0.5%
2619 47
 
0.5%
Other values (253) 9515
95.2%
ValueCountFrequency (%)
150 34
0.3%
151 33
0.3%
152 36
0.4%
153 41
0.4%
154 23
0.2%
155 39
0.4%
156 36
0.4%
157 42
0.4%
158 36
0.4%
159 42
0.4%
ValueCountFrequency (%)
2827 34
0.3%
2826 35
0.4%
2825 31
0.3%
2824 41
0.4%
2823 40
0.4%
2822 46
0.5%
2821 45
0.4%
2820 36
0.4%
2819 38
0.4%
2818 46
0.5%

역명
Text

Distinct263
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:32.114107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.5561
Min length2

Characters and Unicode

Total characters55561
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 row선릉(220)
2nd row을지로4가(204)
3rd row이촌(430)
4th row거여
5th row면목
ValueCountFrequency (%)
서울역(426 52
 
0.5%
애오개 51
 
0.5%
목동 50
 
0.5%
동대문역사문화공원5 49
 
0.5%
숭실대입구 48
 
0.5%
방이 47
 
0.5%
당산(237 47
 
0.5%
봉천(229 47
 
0.5%
을지로4가(5 47
 
0.5%
강남(222 47
 
0.5%
Other values (253) 9515
95.2%
2024-04-30T01:36:32.430112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 6015
 
10.8%
) 6015
 
10.8%
2 3524
 
6.3%
3 2681
 
4.8%
1 1923
 
3.5%
4 1887
 
3.4%
5 1424
 
2.6%
1224
 
2.2%
1049
 
1.9%
902
 
1.6%
Other values (202) 28917
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28436
51.2%
Decimal Number 15095
27.2%
Open Punctuation 6015
 
10.8%
Close Punctuation 6015
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1224
 
4.3%
1049
 
3.7%
902
 
3.2%
860
 
3.0%
649
 
2.3%
630
 
2.2%
537
 
1.9%
514
 
1.8%
497
 
1.7%
493
 
1.7%
Other values (190) 21081
74.1%
Decimal Number
ValueCountFrequency (%)
2 3524
23.3%
3 2681
17.8%
1 1923
12.7%
4 1887
12.5%
5 1424
9.4%
7 864
 
5.7%
0 862
 
5.7%
6 852
 
5.6%
8 607
 
4.0%
9 471
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 6015
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6015
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28436
51.2%
Common 27125
48.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1224
 
4.3%
1049
 
3.7%
902
 
3.2%
860
 
3.0%
649
 
2.3%
630
 
2.2%
537
 
1.9%
514
 
1.8%
497
 
1.7%
493
 
1.7%
Other values (190) 21081
74.1%
Common
ValueCountFrequency (%)
( 6015
22.2%
) 6015
22.2%
2 3524
13.0%
3 2681
9.9%
1 1923
 
7.1%
4 1887
 
7.0%
5 1424
 
5.2%
7 864
 
3.2%
0 862
 
3.2%
6 852
 
3.1%
Other values (2) 1078
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28436
51.2%
ASCII 27125
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 6015
22.2%
) 6015
22.2%
2 3524
13.0%
3 2681
9.9%
1 1923
 
7.1%
4 1887
 
7.0%
5 1424
 
5.2%
7 864
 
3.2%
0 862
 
3.2%
6 852
 
3.1%
Other values (2) 1078
 
4.0%
Hangul
ValueCountFrequency (%)
1224
 
4.3%
1049
 
3.7%
902
 
3.2%
860
 
3.0%
649
 
2.3%
630
 
2.2%
537
 
1.9%
514
 
1.8%
497
 
1.7%
493
 
1.7%
Other values (190) 21081
74.1%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하차
5033 
승차
4967 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하차 5033
50.3%
승차 4967
49.7%

Length

2024-04-30T01:36:32.550056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:36:32.648021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하차 5033
50.3%
승차 4967
49.7%

05~06
Text

Distinct706
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:32.992141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.2857
Min length2

Characters and Unicode

Total characters32857
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

Unique214 ?
Unique (%)2.1%

Sample

1st row273
2nd row38
3rd row37
4th row9
5th row23
ValueCountFrequency (%)
15 143
 
1.4%
12 134
 
1.3%
18 133
 
1.3%
17 132
 
1.3%
20 131
 
1.3%
16 128
 
1.3%
24 119
 
1.2%
22 117
 
1.2%
26 114
 
1.1%
21 114
 
1.1%
Other values (696) 8735
87.4%
2024-04-30T01:36:33.493747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
30.4%
1 4507
13.7%
2 3396
 
10.3%
3 2627
 
8.0%
4 2129
 
6.5%
5 1968
 
6.0%
6 1813
 
5.5%
7 1667
 
5.1%
8 1633
 
5.0%
0 1537
 
4.7%
Other values (2) 1580
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22782
69.3%
Space Separator 10000
30.4%
Other Punctuation 75
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4507
19.8%
2 3396
14.9%
3 2627
11.5%
4 2129
9.3%
5 1968
8.6%
6 1813
8.0%
7 1667
 
7.3%
8 1633
 
7.2%
0 1537
 
6.7%
9 1505
 
6.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32857
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
30.4%
1 4507
13.7%
2 3396
 
10.3%
3 2627
 
8.0%
4 2129
 
6.5%
5 1968
 
6.0%
6 1813
 
5.5%
7 1667
 
5.1%
8 1633
 
5.0%
0 1537
 
4.7%
Other values (2) 1580
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
30.4%
1 4507
13.7%
2 3396
 
10.3%
3 2627
 
8.0%
4 2129
 
6.5%
5 1968
 
6.0%
6 1813
 
5.5%
7 1667
 
5.1%
8 1633
 
5.0%
0 1537
 
4.7%
Other values (2) 1580
 
4.8%

06~07
Text

Distinct1337
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:33.859189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.8676
Min length2

Characters and Unicode

Total characters38676
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 row1,881
2nd row55
3rd row164
4th row71
5th row175
ValueCountFrequency (%)
78 49
 
0.5%
88 43
 
0.4%
102 41
 
0.4%
86 41
 
0.4%
109 39
 
0.4%
101 39
 
0.4%
72 39
 
0.4%
91 39
 
0.4%
83 39
 
0.4%
141 39
 
0.4%
Other values (1327) 9592
95.9%
2024-04-30T01:36:34.345790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
25.9%
1 5239
13.5%
2 3672
 
9.5%
3 3029
 
7.8%
4 2804
 
7.2%
5 2419
 
6.3%
6 2409
 
6.2%
8 2271
 
5.9%
7 2177
 
5.6%
0 2092
 
5.4%
Other values (2) 2564
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28169
72.8%
Space Separator 10000
 
25.9%
Other Punctuation 507
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5239
18.6%
2 3672
13.0%
3 3029
10.8%
4 2804
10.0%
5 2419
8.6%
6 2409
8.6%
8 2271
8.1%
7 2177
7.7%
0 2092
 
7.4%
9 2057
 
7.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 507
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38676
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
25.9%
1 5239
13.5%
2 3672
 
9.5%
3 3029
 
7.8%
4 2804
 
7.2%
5 2419
 
6.3%
6 2409
 
6.2%
8 2271
 
5.9%
7 2177
 
5.6%
0 2092
 
5.4%
Other values (2) 2564
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
25.9%
1 5239
13.5%
2 3672
 
9.5%
3 3029
 
7.8%
4 2804
 
7.2%
5 2419
 
6.3%
6 2409
 
6.2%
8 2271
 
5.9%
7 2177
 
5.6%
0 2092
 
5.4%
Other values (2) 2564
 
6.6%

07~08
Text

Distinct2657
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:34.695423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.3883
Min length2

Characters and Unicode

Total characters43883
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

Unique1185 ?
Unique (%)11.8%

Sample

1st row6,147
2nd row134
3rd row489
4th row38
5th row284
ValueCountFrequency (%)
125 29
 
0.3%
126 27
 
0.3%
147 26
 
0.3%
121 26
 
0.3%
102 25
 
0.2%
173 25
 
0.2%
177 25
 
0.2%
98 24
 
0.2%
132 24
 
0.2%
130 23
 
0.2%
Other values (2647) 9746
97.5%
2024-04-30T01:36:35.159527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.8%
1 5236
11.9%
2 4115
9.4%
3 3551
 
8.1%
5 3029
 
6.9%
4 2959
 
6.7%
6 2802
 
6.4%
7 2635
 
6.0%
, 2516
 
5.7%
8 2440
 
5.6%
Other values (2) 4600
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31367
71.5%
Space Separator 10000
 
22.8%
Other Punctuation 2516
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5236
16.7%
2 4115
13.1%
3 3551
11.3%
5 3029
9.7%
4 2959
9.4%
6 2802
8.9%
7 2635
8.4%
8 2440
7.8%
9 2312
7.4%
0 2288
7.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43883
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.8%
1 5236
11.9%
2 4115
9.4%
3 3551
 
8.1%
5 3029
 
6.9%
4 2959
 
6.7%
6 2802
 
6.4%
7 2635
 
6.0%
, 2516
 
5.7%
8 2440
 
5.6%
Other values (2) 4600
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43883
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.8%
1 5236
11.9%
2 4115
9.4%
3 3551
 
8.1%
5 3029
 
6.9%
4 2959
 
6.7%
6 2802
 
6.4%
7 2635
 
6.0%
, 2516
 
5.7%
8 2440
 
5.6%
Other values (2) 4600
10.5%

08~09
Text

Distinct3709
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:35.531392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.8776
Min length2

Characters and Unicode

Total characters48776
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

Unique1776 ?
Unique (%)17.8%

Sample

1st row17,777
2nd row220
3rd row901
4th row83
5th row835
ValueCountFrequency (%)
151 15
 
0.1%
217 15
 
0.1%
184 14
 
0.1%
166 14
 
0.1%
180 14
 
0.1%
98 13
 
0.1%
273 13
 
0.1%
324 13
 
0.1%
224 13
 
0.1%
235 13
 
0.1%
Other values (3699) 9863
98.6%
2024-04-30T01:36:35.988284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.5%
1 5853
12.0%
, 4555
9.3%
2 4200
8.6%
3 3740
 
7.7%
4 3381
 
6.9%
5 3107
 
6.4%
6 3034
 
6.2%
7 2882
 
5.9%
8 2716
 
5.6%
Other values (2) 5308
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34221
70.2%
Space Separator 10000
 
20.5%
Other Punctuation 4555
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5853
17.1%
2 4200
12.3%
3 3740
10.9%
4 3381
9.9%
5 3107
9.1%
6 3034
8.9%
7 2882
8.4%
8 2716
7.9%
0 2706
7.9%
9 2602
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48776
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.5%
1 5853
12.0%
, 4555
9.3%
2 4200
8.6%
3 3740
 
7.7%
4 3381
 
6.9%
5 3107
 
6.4%
6 3034
 
6.2%
7 2882
 
5.9%
8 2716
 
5.6%
Other values (2) 5308
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48776
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.5%
1 5853
12.0%
, 4555
9.3%
2 4200
8.6%
3 3740
 
7.7%
4 3381
 
6.9%
5 3107
 
6.4%
6 3034
 
6.2%
7 2882
 
5.9%
8 2716
 
5.6%
Other values (2) 5308
10.9%

09~10
Text

Distinct2849
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:36.357984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.5954
Min length2

Characters and Unicode

Total characters45954
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

Unique1194 ?
Unique (%)11.9%

Sample

1st row11,266
2nd row368
3rd row507
4th row119
5th row531
ValueCountFrequency (%)
270 22
 
0.2%
248 21
 
0.2%
295 19
 
0.2%
234 18
 
0.2%
326 17
 
0.2%
250 16
 
0.2%
272 16
 
0.2%
220 15
 
0.1%
244 15
 
0.1%
259 15
 
0.1%
Other values (2839) 9826
98.3%
2024-04-30T01:36:36.815874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.8%
1 5352
11.6%
2 4080
8.9%
3 3505
 
7.6%
4 3318
 
7.2%
, 3200
 
7.0%
5 3159
 
6.9%
6 2983
 
6.5%
7 2773
 
6.0%
8 2547
 
5.5%
Other values (2) 5037
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32754
71.3%
Space Separator 10000
 
21.8%
Other Punctuation 3200
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5352
16.3%
2 4080
12.5%
3 3505
10.7%
4 3318
10.1%
5 3159
9.6%
6 2983
9.1%
7 2773
8.5%
8 2547
7.8%
0 2545
7.8%
9 2492
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.8%
1 5352
11.6%
2 4080
8.9%
3 3505
 
7.6%
4 3318
 
7.2%
, 3200
 
7.0%
5 3159
 
6.9%
6 2983
 
6.5%
7 2773
 
6.0%
8 2547
 
5.5%
Other values (2) 5037
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.8%
1 5352
11.6%
2 4080
8.9%
3 3505
 
7.6%
4 3318
 
7.2%
, 3200
 
7.0%
5 3159
 
6.9%
6 2983
 
6.5%
7 2773
 
6.0%
8 2547
 
5.5%
Other values (2) 5037
11.0%

10~11
Text

Distinct2240
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:37.175626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3605
Min length2

Characters and Unicode

Total characters43605
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

Unique797 ?
Unique (%)8.0%

Sample

1st row4,355
2nd row510
3rd row349
4th row66
5th row465
ValueCountFrequency (%)
284 25
 
0.2%
425 22
 
0.2%
198 22
 
0.2%
226 22
 
0.2%
168 21
 
0.2%
333 20
 
0.2%
183 20
 
0.2%
216 20
 
0.2%
253 20
 
0.2%
187 19
 
0.2%
Other values (2230) 9789
97.9%
2024-04-30T01:36:37.708370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.9%
1 4817
11.0%
2 4001
9.2%
3 3497
 
8.0%
4 3272
 
7.5%
5 3011
 
6.9%
6 2968
 
6.8%
7 2736
 
6.3%
8 2611
 
6.0%
0 2329
 
5.3%
Other values (2) 4363
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31536
72.3%
Space Separator 10000
 
22.9%
Other Punctuation 2069
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4817
15.3%
2 4001
12.7%
3 3497
11.1%
4 3272
10.4%
5 3011
9.5%
6 2968
9.4%
7 2736
8.7%
8 2611
8.3%
0 2329
7.4%
9 2294
7.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2069
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43605
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.9%
1 4817
11.0%
2 4001
9.2%
3 3497
 
8.0%
4 3272
 
7.5%
5 3011
 
6.9%
6 2968
 
6.8%
7 2736
 
6.3%
8 2611
 
6.0%
0 2329
 
5.3%
Other values (2) 4363
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.9%
1 4817
11.0%
2 4001
9.2%
3 3497
 
8.0%
4 3272
 
7.5%
5 3011
 
6.9%
6 2968
 
6.8%
7 2736
 
6.3%
8 2611
 
6.0%
0 2329
 
5.3%
Other values (2) 4363
10.0%

11~12
Text

Distinct2196
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:38.074195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3622
Min length2

Characters and Unicode

Total characters43622
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

Unique783 ?
Unique (%)7.8%

Sample

1st row3,032
2nd row652
3rd row366
4th row100
5th row425
ValueCountFrequency (%)
294 24
 
0.2%
175 22
 
0.2%
258 22
 
0.2%
233 22
 
0.2%
415 20
 
0.2%
157 20
 
0.2%
389 20
 
0.2%
372 20
 
0.2%
193 20
 
0.2%
266 20
 
0.2%
Other values (2186) 9790
97.9%
2024-04-30T01:36:38.759153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.9%
1 4973
11.4%
2 4073
9.3%
3 3500
 
8.0%
4 3246
 
7.4%
5 2985
 
6.8%
6 2834
 
6.5%
7 2645
 
6.1%
8 2470
 
5.7%
9 2456
 
5.6%
Other values (2) 4440
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31567
72.4%
Space Separator 10000
 
22.9%
Other Punctuation 2055
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4973
15.8%
2 4073
12.9%
3 3500
11.1%
4 3246
10.3%
5 2985
9.5%
6 2834
9.0%
7 2645
8.4%
8 2470
7.8%
9 2456
7.8%
0 2385
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2055
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43622
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.9%
1 4973
11.4%
2 4073
9.3%
3 3500
 
8.0%
4 3246
 
7.4%
5 2985
 
6.8%
6 2834
 
6.5%
7 2645
 
6.1%
8 2470
 
5.7%
9 2456
 
5.6%
Other values (2) 4440
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43622
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.9%
1 4973
11.4%
2 4073
9.3%
3 3500
 
8.0%
4 3246
 
7.4%
5 2985
 
6.8%
6 2834
 
6.5%
7 2645
 
6.1%
8 2470
 
5.7%
9 2456
 
5.6%
Other values (2) 4440
10.2%

12~13
Text

Distinct2286
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:39.117610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4052
Min length2

Characters and Unicode

Total characters44052
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

Unique790 ?
Unique (%)7.9%

Sample

1st row2,904
2nd row805
3rd row442
4th row118
5th row452
ValueCountFrequency (%)
301 22
 
0.2%
229 20
 
0.2%
340 20
 
0.2%
397 20
 
0.2%
368 20
 
0.2%
183 20
 
0.2%
323 19
 
0.2%
406 19
 
0.2%
362 19
 
0.2%
231 19
 
0.2%
Other values (2276) 9802
98.0%
2024-04-30T01:36:39.604130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.7%
1 4792
10.9%
2 3965
 
9.0%
3 3555
 
8.1%
4 3345
 
7.6%
5 2979
 
6.8%
6 2877
 
6.5%
8 2669
 
6.1%
7 2644
 
6.0%
9 2539
 
5.8%
Other values (2) 4687
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31811
72.2%
Space Separator 10000
 
22.7%
Other Punctuation 2241
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4792
15.1%
2 3965
12.5%
3 3555
11.2%
4 3345
10.5%
5 2979
9.4%
6 2877
9.0%
8 2669
8.4%
7 2644
8.3%
9 2539
8.0%
0 2446
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44052
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.7%
1 4792
10.9%
2 3965
 
9.0%
3 3555
 
8.1%
4 3345
 
7.6%
5 2979
 
6.8%
6 2877
 
6.5%
8 2669
 
6.1%
7 2644
 
6.0%
9 2539
 
5.8%
Other values (2) 4687
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.7%
1 4792
10.9%
2 3965
 
9.0%
3 3555
 
8.1%
4 3345
 
7.6%
5 2979
 
6.8%
6 2877
 
6.5%
8 2669
 
6.1%
7 2644
 
6.0%
9 2539
 
5.8%
Other values (2) 4687
10.6%

13~14
Text

Distinct2500
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:40.027563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4919
Min length2

Characters and Unicode

Total characters44919
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

Unique968 ?
Unique (%)9.7%

Sample

1st row3,532
2nd row892
3rd row487
4th row127
5th row533
ValueCountFrequency (%)
490 20
 
0.2%
255 19
 
0.2%
272 18
 
0.2%
388 18
 
0.2%
360 18
 
0.2%
459 18
 
0.2%
352 17
 
0.2%
219 17
 
0.2%
289 17
 
0.2%
256 17
 
0.2%
Other values (2490) 9821
98.2%
2024-04-30T01:36:40.531715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.3%
1 4904
10.9%
2 4036
9.0%
3 3668
 
8.2%
4 3323
 
7.4%
5 3151
 
7.0%
6 2886
 
6.4%
7 2715
 
6.0%
, 2647
 
5.9%
8 2548
 
5.7%
Other values (2) 5041
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32272
71.8%
Space Separator 10000
 
22.3%
Other Punctuation 2647
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4904
15.2%
2 4036
12.5%
3 3668
11.4%
4 3323
10.3%
5 3151
9.8%
6 2886
8.9%
7 2715
8.4%
8 2548
7.9%
9 2534
7.9%
0 2507
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2647
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.3%
1 4904
10.9%
2 4036
9.0%
3 3668
 
8.2%
4 3323
 
7.4%
5 3151
 
7.0%
6 2886
 
6.4%
7 2715
 
6.0%
, 2647
 
5.9%
8 2548
 
5.7%
Other values (2) 5041
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.3%
1 4904
10.9%
2 4036
9.0%
3 3668
 
8.2%
4 3323
 
7.4%
5 3151
 
7.0%
6 2886
 
6.4%
7 2715
 
6.0%
, 2647
 
5.9%
8 2548
 
5.7%
Other values (2) 5041
11.2%

14~15
Text

Distinct2507
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:40.885223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5019
Min length2

Characters and Unicode

Total characters45019
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

Unique944 ?
Unique (%)9.4%

Sample

1st row2,871
2nd row1,152
3rd row437
4th row106
5th row561
ValueCountFrequency (%)
314 25
 
0.2%
555 21
 
0.2%
582 20
 
0.2%
479 20
 
0.2%
310 20
 
0.2%
466 19
 
0.2%
205 19
 
0.2%
428 19
 
0.2%
307 19
 
0.2%
465 18
 
0.2%
Other values (2497) 9800
98.0%
2024-04-30T01:36:41.384082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.2%
1 5021
11.2%
2 4073
9.0%
3 3699
 
8.2%
4 3284
 
7.3%
5 3108
 
6.9%
6 2878
 
6.4%
, 2685
 
6.0%
7 2640
 
5.9%
8 2562
 
5.7%
Other values (2) 5069
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32334
71.8%
Space Separator 10000
 
22.2%
Other Punctuation 2685
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5021
15.5%
2 4073
12.6%
3 3699
11.4%
4 3284
10.2%
5 3108
9.6%
6 2878
8.9%
7 2640
8.2%
8 2562
7.9%
9 2549
7.9%
0 2520
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2685
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45019
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.2%
1 5021
11.2%
2 4073
9.0%
3 3699
 
8.2%
4 3284
 
7.3%
5 3108
 
6.9%
6 2878
 
6.4%
, 2685
 
6.0%
7 2640
 
5.9%
8 2562
 
5.7%
Other values (2) 5069
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.2%
1 5021
11.2%
2 4073
9.0%
3 3699
 
8.2%
4 3284
 
7.3%
5 3108
 
6.9%
6 2878
 
6.4%
, 2685
 
6.0%
7 2640
 
5.9%
8 2562
 
5.7%
Other values (2) 5069
11.3%

15~16
Text

Distinct2573
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:41.756294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5259
Min length2

Characters and Unicode

Total characters45259
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

Unique995 ?
Unique (%)10.0%

Sample

1st row3,097
2nd row1,241
3rd row601
4th row152
5th row654
ValueCountFrequency (%)
293 20
 
0.2%
279 19
 
0.2%
371 19
 
0.2%
319 19
 
0.2%
395 19
 
0.2%
403 19
 
0.2%
210 18
 
0.2%
493 18
 
0.2%
641 18
 
0.2%
347 18
 
0.2%
Other values (2563) 9813
98.1%
2024-04-30T01:36:42.289525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.1%
1 4987
11.0%
2 4073
9.0%
3 3772
 
8.3%
4 3344
 
7.4%
5 3177
 
7.0%
6 2932
 
6.5%
, 2792
 
6.2%
7 2699
 
6.0%
8 2536
 
5.6%
Other values (2) 4947
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32467
71.7%
Space Separator 10000
 
22.1%
Other Punctuation 2792
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4987
15.4%
2 4073
12.5%
3 3772
11.6%
4 3344
10.3%
5 3177
9.8%
6 2932
9.0%
7 2699
8.3%
8 2536
7.8%
9 2487
7.7%
0 2460
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2792
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45259
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.1%
1 4987
11.0%
2 4073
9.0%
3 3772
 
8.3%
4 3344
 
7.4%
5 3177
 
7.0%
6 2932
 
6.5%
, 2792
 
6.2%
7 2699
 
6.0%
8 2536
 
5.6%
Other values (2) 4947
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.1%
1 4987
11.0%
2 4073
9.0%
3 3772
 
8.3%
4 3344
 
7.4%
5 3177
 
7.0%
6 2932
 
6.5%
, 2792
 
6.2%
7 2699
 
6.0%
8 2536
 
5.6%
Other values (2) 4947
10.9%

16~17
Text

Distinct2637
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:42.649303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.56
Min length2

Characters and Unicode

Total characters45600
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

Unique997 ?
Unique (%)10.0%

Sample

1st row3,174
2nd row1,309
3rd row844
4th row212
5th row856
ValueCountFrequency (%)
470 22
 
0.2%
374 20
 
0.2%
416 19
 
0.2%
393 19
 
0.2%
253 18
 
0.2%
438 18
 
0.2%
477 18
 
0.2%
383 17
 
0.2%
308 17
 
0.2%
381 16
 
0.2%
Other values (2627) 9816
98.2%
2024-04-30T01:36:43.166194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.9%
1 4960
10.9%
2 3861
 
8.5%
3 3777
 
8.3%
4 3422
 
7.5%
5 3119
 
6.8%
6 3087
 
6.8%
, 2945
 
6.5%
7 2869
 
6.3%
8 2638
 
5.8%
Other values (2) 4922
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32655
71.6%
Space Separator 10000
 
21.9%
Other Punctuation 2945
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4960
15.2%
2 3861
11.8%
3 3777
11.6%
4 3422
10.5%
5 3119
9.6%
6 3087
9.5%
7 2869
8.8%
8 2638
8.1%
9 2473
7.6%
0 2449
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.9%
1 4960
10.9%
2 3861
 
8.5%
3 3777
 
8.3%
4 3422
 
7.5%
5 3119
 
6.8%
6 3087
 
6.8%
, 2945
 
6.5%
7 2869
 
6.3%
8 2638
 
5.8%
Other values (2) 4922
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.9%
1 4960
10.9%
2 3861
 
8.5%
3 3777
 
8.3%
4 3422
 
7.5%
5 3119
 
6.8%
6 3087
 
6.8%
, 2945
 
6.5%
7 2869
 
6.3%
8 2638
 
5.8%
Other values (2) 4922
10.8%

17~18
Text

Distinct2900
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:43.546022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.6579
Min length2

Characters and Unicode

Total characters46579
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

Unique1150 ?
Unique (%)11.5%

Sample

1st row3,431
2nd row1,600
3rd row905
4th row212
5th row1,002
ValueCountFrequency (%)
577 18
 
0.2%
379 18
 
0.2%
458 17
 
0.2%
444 17
 
0.2%
464 17
 
0.2%
416 16
 
0.2%
409 16
 
0.2%
490 16
 
0.2%
434 16
 
0.2%
734 16
 
0.2%
Other values (2890) 9833
98.3%
2024-04-30T01:36:44.057270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.5%
1 5269
11.3%
2 3605
 
7.7%
3 3528
 
7.6%
4 3468
 
7.4%
, 3422
 
7.3%
5 3275
 
7.0%
6 3029
 
6.5%
7 2912
 
6.3%
9 2758
 
5.9%
Other values (2) 5313
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33157
71.2%
Space Separator 10000
 
21.5%
Other Punctuation 3422
 
7.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5269
15.9%
2 3605
10.9%
3 3528
10.6%
4 3468
10.5%
5 3275
9.9%
6 3029
9.1%
7 2912
8.8%
9 2758
8.3%
8 2750
8.3%
0 2563
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46579
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.5%
1 5269
11.3%
2 3605
 
7.7%
3 3528
 
7.6%
4 3468
 
7.4%
, 3422
 
7.3%
5 3275
 
7.0%
6 3029
 
6.5%
7 2912
 
6.3%
9 2758
 
5.9%
Other values (2) 5313
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.5%
1 5269
11.3%
2 3605
 
7.7%
3 3528
 
7.6%
4 3468
 
7.4%
, 3422
 
7.3%
5 3275
 
7.0%
6 3029
 
6.5%
7 2912
 
6.3%
9 2758
 
5.9%
Other values (2) 5313
11.4%

18~19
Text

Distinct3520
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:44.468884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.8856
Min length2

Characters and Unicode

Total characters48856
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

Unique1572 ?
Unique (%)15.7%

Sample

1st row4,086
2nd row3,232
3rd row1,123
4th row225
5th row1,711
ValueCountFrequency (%)
636 15
 
0.1%
304 15
 
0.1%
352 15
 
0.1%
277 14
 
0.1%
333 14
 
0.1%
197 13
 
0.1%
718 13
 
0.1%
656 13
 
0.1%
349 13
 
0.1%
605 13
 
0.1%
Other values (3510) 9862
98.6%
2024-04-30T01:36:44.976004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.5%
1 5664
11.6%
, 4543
9.3%
2 3973
 
8.1%
3 3650
 
7.5%
4 3457
 
7.1%
5 3317
 
6.8%
6 3083
 
6.3%
7 2933
 
6.0%
8 2838
 
5.8%
Other values (2) 5398
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34313
70.2%
Space Separator 10000
 
20.5%
Other Punctuation 4543
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5664
16.5%
2 3973
11.6%
3 3650
10.6%
4 3457
10.1%
5 3317
9.7%
6 3083
9.0%
7 2933
8.5%
8 2838
8.3%
9 2745
8.0%
0 2653
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4543
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48856
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.5%
1 5664
11.6%
, 4543
9.3%
2 3973
 
8.1%
3 3650
 
7.5%
4 3457
 
7.1%
5 3317
 
6.8%
6 3083
 
6.3%
7 2933
 
6.0%
8 2838
 
5.8%
Other values (2) 5398
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.5%
1 5664
11.6%
, 4543
9.3%
2 3973
 
8.1%
3 3650
 
7.5%
4 3457
 
7.1%
5 3317
 
6.8%
6 3083
 
6.3%
7 2933
 
6.0%
8 2838
 
5.8%
Other values (2) 5398
11.0%

19~20
Text

Distinct3195
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:45.405465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.7115
Min length2

Characters and Unicode

Total characters47115
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

Unique1392 ?
Unique (%)13.9%

Sample

1st row3,452
2nd row2,398
3rd row569
4th row188
5th row2,038
ValueCountFrequency (%)
335 17
 
0.2%
231 17
 
0.2%
296 15
 
0.1%
562 15
 
0.1%
672 15
 
0.1%
324 14
 
0.1%
355 14
 
0.1%
328 14
 
0.1%
381 14
 
0.1%
369 14
 
0.1%
Other values (3185) 9851
98.5%
2024-04-30T01:36:45.937310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.2%
1 5501
11.7%
2 4095
8.7%
, 3768
 
8.0%
3 3649
 
7.7%
4 3327
 
7.1%
5 3152
 
6.7%
6 2980
 
6.3%
7 2819
 
6.0%
9 2693
 
5.7%
Other values (2) 5131
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33347
70.8%
Space Separator 10000
 
21.2%
Other Punctuation 3768
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5501
16.5%
2 4095
12.3%
3 3649
10.9%
4 3327
10.0%
5 3152
9.5%
6 2980
8.9%
7 2819
8.5%
9 2693
8.1%
8 2620
7.9%
0 2511
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3768
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.2%
1 5501
11.7%
2 4095
8.7%
, 3768
 
8.0%
3 3649
 
7.7%
4 3327
 
7.1%
5 3152
 
6.7%
6 2980
 
6.3%
7 2819
 
6.0%
9 2693
 
5.7%
Other values (2) 5131
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.2%
1 5501
11.7%
2 4095
8.7%
, 3768
 
8.0%
3 3649
 
7.7%
4 3327
 
7.1%
5 3152
 
6.7%
6 2980
 
6.3%
7 2819
 
6.0%
9 2693
 
5.7%
Other values (2) 5131
10.9%

20~21
Text

Distinct2575
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:46.308421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4344
Min length2

Characters and Unicode

Total characters44344
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

Unique1061 ?
Unique (%)10.6%

Sample

1st row2,039
2nd row1,002
3rd row458
4th row210
5th row1,323
ValueCountFrequency (%)
223 24
 
0.2%
369 21
 
0.2%
158 20
 
0.2%
174 20
 
0.2%
212 19
 
0.2%
267 19
 
0.2%
209 19
 
0.2%
200 18
 
0.2%
202 18
 
0.2%
385 18
 
0.2%
Other values (2565) 9804
98.0%
2024-04-30T01:36:46.835150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.6%
1 5066
11.4%
2 3950
 
8.9%
3 3671
 
8.3%
4 3292
 
7.4%
5 2883
 
6.5%
7 2745
 
6.2%
6 2742
 
6.2%
8 2592
 
5.8%
, 2493
 
5.6%
Other values (2) 4910
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31851
71.8%
Space Separator 10000
 
22.6%
Other Punctuation 2493
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5066
15.9%
2 3950
12.4%
3 3671
11.5%
4 3292
10.3%
5 2883
9.1%
7 2745
8.6%
6 2742
8.6%
8 2592
8.1%
9 2486
7.8%
0 2424
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2493
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44344
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.6%
1 5066
11.4%
2 3950
 
8.9%
3 3671
 
8.3%
4 3292
 
7.4%
5 2883
 
6.5%
7 2745
 
6.2%
6 2742
 
6.2%
8 2592
 
5.8%
, 2493
 
5.6%
Other values (2) 4910
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.6%
1 5066
11.4%
2 3950
 
8.9%
3 3671
 
8.3%
4 3292
 
7.4%
5 2883
 
6.5%
7 2745
 
6.2%
6 2742
 
6.2%
8 2592
 
5.8%
, 2493
 
5.6%
Other values (2) 4910
11.1%

21~22
Text

Distinct2396
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:47.231468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.3516
Min length2

Characters and Unicode

Total characters43516
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

Unique982 ?
Unique (%)9.8%

Sample

1st row1,431
2nd row685
3rd row359
4th row173
5th row1,182
ValueCountFrequency (%)
187 28
 
0.3%
249 25
 
0.2%
191 24
 
0.2%
179 24
 
0.2%
122 22
 
0.2%
170 22
 
0.2%
342 22
 
0.2%
212 22
 
0.2%
167 21
 
0.2%
211 21
 
0.2%
Other values (2386) 9769
97.7%
2024-04-30T01:36:47.773502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.0%
1 5074
11.7%
2 4013
9.2%
3 3577
 
8.2%
4 3116
 
7.2%
5 2867
 
6.6%
6 2735
 
6.3%
7 2586
 
5.9%
8 2521
 
5.8%
9 2447
 
5.6%
Other values (2) 4580
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31356
72.1%
Space Separator 10000
 
23.0%
Other Punctuation 2160
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5074
16.2%
2 4013
12.8%
3 3577
11.4%
4 3116
9.9%
5 2867
9.1%
6 2735
8.7%
7 2586
8.2%
8 2521
8.0%
9 2447
7.8%
0 2420
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.0%
1 5074
11.7%
2 4013
9.2%
3 3577
 
8.2%
4 3116
 
7.2%
5 2867
 
6.6%
6 2735
 
6.3%
7 2586
 
5.9%
8 2521
 
5.8%
9 2447
 
5.6%
Other values (2) 4580
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.0%
1 5074
11.7%
2 4013
9.2%
3 3577
 
8.2%
4 3116
 
7.2%
5 2867
 
6.6%
6 2735
 
6.3%
7 2586
 
5.9%
8 2521
 
5.8%
9 2447
 
5.6%
Other values (2) 4580
10.5%

22~23
Text

Distinct2266
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:48.179387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.2672
Min length2

Characters and Unicode

Total characters42672
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

Unique919 ?
Unique (%)9.2%

Sample

1st row1,176
2nd row424
3rd row233
4th row216
5th row1,173
ValueCountFrequency (%)
148 26
 
0.3%
163 23
 
0.2%
180 23
 
0.2%
204 23
 
0.2%
125 22
 
0.2%
108 22
 
0.2%
133 22
 
0.2%
154 22
 
0.2%
135 22
 
0.2%
196 21
 
0.2%
Other values (2256) 9774
97.7%
2024-04-30T01:36:48.666001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.4%
1 5051
11.8%
2 3929
 
9.2%
3 3428
 
8.0%
4 3081
 
7.2%
5 2790
 
6.5%
6 2668
 
6.3%
8 2589
 
6.1%
7 2478
 
5.8%
9 2464
 
5.8%
Other values (2) 4194
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30785
72.1%
Space Separator 10000
 
23.4%
Other Punctuation 1887
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5051
16.4%
2 3929
12.8%
3 3428
11.1%
4 3081
10.0%
5 2790
9.1%
6 2668
8.7%
8 2589
8.4%
7 2478
8.0%
9 2464
8.0%
0 2307
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.4%
1 5051
11.8%
2 3929
 
9.2%
3 3428
 
8.0%
4 3081
 
7.2%
5 2790
 
6.5%
6 2668
 
6.3%
8 2589
 
6.1%
7 2478
 
5.8%
9 2464
 
5.8%
Other values (2) 4194
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.4%
1 5051
11.8%
2 3929
 
9.2%
3 3428
 
8.0%
4 3081
 
7.2%
5 2790
 
6.5%
6 2668
 
6.3%
8 2589
 
6.1%
7 2478
 
5.8%
9 2464
 
5.8%
Other values (2) 4194
9.8%

23~24
Text

Distinct1629
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:49.010567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9247
Min length2

Characters and Unicode

Total characters39247
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

Unique594 ?
Unique (%)5.9%

Sample

1st row916
2nd row172
3rd row74
4th row124
5th row823
ValueCountFrequency (%)
71 48
 
0.5%
60 40
 
0.4%
89 40
 
0.4%
61 39
 
0.4%
78 38
 
0.4%
43 38
 
0.4%
88 37
 
0.4%
92 37
 
0.4%
68 35
 
0.4%
75 34
 
0.3%
Other values (1619) 9614
96.1%
2024-04-30T01:36:49.511104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
25.5%
1 5008
12.8%
2 3811
 
9.7%
3 2942
 
7.5%
4 2866
 
7.3%
5 2660
 
6.8%
6 2441
 
6.2%
7 2372
 
6.0%
8 2188
 
5.6%
9 2040
 
5.2%
Other values (2) 2919
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28347
72.2%
Space Separator 10000
 
25.5%
Other Punctuation 900
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5008
17.7%
2 3811
13.4%
3 2942
10.4%
4 2866
10.1%
5 2660
9.4%
6 2441
8.6%
7 2372
8.4%
8 2188
7.7%
9 2040
7.2%
0 2019
7.1%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 900
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
25.5%
1 5008
12.8%
2 3811
 
9.7%
3 2942
 
7.5%
4 2866
 
7.3%
5 2660
 
6.8%
6 2441
 
6.2%
7 2372
 
6.0%
8 2188
 
5.6%
9 2040
 
5.2%
Other values (2) 2919
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
25.5%
1 5008
12.8%
2 3811
 
9.7%
3 2942
 
7.5%
4 2866
 
7.3%
5 2660
 
6.8%
6 2441
 
6.2%
7 2372
 
6.0%
8 2188
 
5.6%
9 2040
 
5.2%
Other values (2) 2919
 
7.4%

24~
Text

Distinct729
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:36:49.826467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.1133
Min length2

Characters and Unicode

Total characters31133
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

Unique231 ?
Unique (%)2.3%

Sample

1st row444
2nd row25
3rd row15
4th row26
5th row508
ValueCountFrequency (%)
0 1035
 
10.3%
1 217
 
2.2%
2 161
 
1.6%
3 137
 
1.4%
5 117
 
1.2%
13 117
 
1.2%
4 116
 
1.2%
14 115
 
1.1%
6 112
 
1.1%
7 110
 
1.1%
Other values (719) 7763
77.6%
2024-04-30T01:36:50.281469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
32.1%
1 4068
13.1%
2 2807
 
9.0%
3 2341
 
7.5%
0 2337
 
7.5%
4 1981
 
6.4%
5 1774
 
5.7%
6 1648
 
5.3%
7 1414
 
4.5%
8 1371
 
4.4%
Other values (2) 1392
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21079
67.7%
Space Separator 10000
32.1%
Other Punctuation 54
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4068
19.3%
2 2807
13.3%
3 2341
11.1%
0 2337
11.1%
4 1981
9.4%
5 1774
8.4%
6 1648
7.8%
7 1414
 
6.7%
8 1371
 
6.5%
9 1338
 
6.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
32.1%
1 4068
13.1%
2 2807
 
9.0%
3 2341
 
7.5%
0 2337
 
7.5%
4 1981
 
6.4%
5 1774
 
5.7%
6 1648
 
5.3%
7 1414
 
4.5%
8 1371
 
4.4%
Other values (2) 1392
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
32.1%
1 4068
13.1%
2 2807
 
9.0%
3 2341
 
7.5%
0 2337
 
7.5%
4 1981
 
6.4%
5 1774
 
5.7%
6 1648
 
5.3%
7 1414
 
4.5%
8 1371
 
4.4%
Other values (2) 1392
 
4.5%

Sample

날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
263592009-02-20220선릉(220)하차2731,8816,14717,77711,2664,3553,0322,9043,5322,8713,0973,1743,4314,0863,4522,0391,4311,176916444
31822009-01-07204을지로4가(204)승차38551342203685106528058921,1521,2411,3091,6003,2322,3981,00268542417225
107422009-01-21430이촌(430)승차371644899015073493664424874376018449051,1235694583592337415
3312009-01-012560거여하차97138831196610011812710615221221222518821017321612426
193692009-02-062723면목하차231752848355314654254525335616548561,0021,7112,0381,3231,1821,173823508
74222009-01-15220선릉(220)승차2765611,3782,1141,9192,1172,8272,8953,3773,5414,4634,6268,05515,0989,8276,0566,0685,4341,997302
56242009-01-112627공덕(6)승차7210879214268298259344345335430386562509296210232172690
122182009-01-24309지축(309)승차34431081951701691641672211721451441601238171502567
166902009-02-012637동묘앞(6)승차637191151283270270357416549672832850589347270257164720
156562009-01-302646태릉입구(6)승차1072046818894472932502712622452272232773642501871481216122
날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
226382009-02-13201시청(201)승차50912334025438349891,0901,2991,3761,5121,5872,2036,4263,9812,0441,9011,661781147
48622009-01-10313녹번(313)승차2454028581,8191,3051,0851,003987925804679712745591365311267237724
209242009-02-092712도봉산(7)승차2837602,5451,408606448363344445466426500498409251171132118508
195362009-02-07228서울대입구(228)승차9381,0171,7283,0733,1322,5022,6833,2293,4303,3253,1333,5563,7273,3532,3652,1322,0492,18483424
174682009-02-03246신설동(246)승차30421271511231501942542923423793974976964012091651413013
188682009-02-052736고속터미널(7)승차52942655206217197149629098078911,1971,5571,8771,1991,1151,12881232749
62812009-01-122812천호(8)하차372524479738755745766887268008249561,2312,2772,5091,3891,1321,066636204
143052009-01-28242아현(242)하차15971876355513504154675094915565957011,0601,095718647622498130
76912009-01-152558오금하차161543251,23549122119719417123318422423231225522917517411643
40622009-01-082635청구(6)승차29872113811991361231191231231271272063503492081731227412