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 16:33:46.937644
Analysis finished2024-04-29 16:33:47.962346
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-01 00:00:00
Maximum2016-02-15 00:00:00
2024-04-30T01:33:48.026910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:33:48.167331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

역번호
Real number (ℝ)

Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1617.9894
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:48.304973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204
Q1316
median2528
Q32647
95-th percentile2813
Maximum2827
Range2677
Interquartile range (IQR)2331

Descriptive statistics

Standard deviation1176.3297
Coefficient of variation (CV)0.72703179
Kurtosis-1.9150646
Mean1617.9894
Median Absolute Deviation (MAD)233
Skewness-0.24369134
Sum16179894
Variance1383751.6
MonotonicityNot monotonic
2024-04-30T01:33:48.437007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311 51
 
0.5%
2533 49
 
0.5%
150 47
 
0.5%
309 47
 
0.5%
2752 46
 
0.5%
2728 46
 
0.5%
234 46
 
0.5%
331 46
 
0.5%
2638 45
 
0.4%
338 45
 
0.4%
Other values (265) 9532
95.3%
ValueCountFrequency (%)
150 47
0.5%
151 33
0.3%
152 38
0.4%
153 41
0.4%
154 36
0.4%
155 37
0.4%
156 35
0.4%
157 37
0.4%
158 37
0.4%
159 23
0.2%
ValueCountFrequency (%)
2827 33
0.3%
2826 40
0.4%
2825 39
0.4%
2824 37
0.4%
2823 26
0.3%
2822 34
0.3%
2821 36
0.4%
2820 43
0.4%
2819 32
0.3%
2818 41
0.4%

역명
Text

Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:48.691674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.6271
Min length2

Characters and Unicode

Total characters56271
Distinct characters220
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 row용마산
2nd row부천종합운동장
3rd row서초(224)
4th row월드컵경기장
5th row을지로3가(203)
ValueCountFrequency (%)
연신내(311 51
 
0.5%
서대문 49
 
0.5%
지축(309 47
 
0.5%
서울역(150 47
 
0.5%
온수(7 46
 
0.5%
신도림(234 46
 
0.5%
어린이대공원 46
 
0.5%
남부터미널(331 46
 
0.5%
신정네거리(249 45
 
0.4%
창신 45
 
0.4%
Other values (265) 9532
95.3%
2024-04-30T01:33:49.066037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 6014
 
10.7%
) 6014
 
10.7%
2 3334
 
5.9%
3 2809
 
5.0%
1 1972
 
3.5%
4 1956
 
3.5%
5 1371
 
2.4%
1130
 
2.0%
1092
 
1.9%
919
 
1.6%
Other values (210) 29660
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29232
51.9%
Decimal Number 15011
26.7%
Open Punctuation 6014
 
10.7%
Close Punctuation 6014
 
10.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1130
 
3.9%
1092
 
3.7%
919
 
3.1%
902
 
3.1%
630
 
2.2%
594
 
2.0%
583
 
2.0%
547
 
1.9%
528
 
1.8%
522
 
1.8%
Other values (198) 21785
74.5%
Decimal Number
ValueCountFrequency (%)
2 3334
22.2%
3 2809
18.7%
1 1972
13.1%
4 1956
13.0%
5 1371
9.1%
0 879
 
5.9%
7 822
 
5.5%
6 803
 
5.3%
8 571
 
3.8%
9 494
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 6014
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6014
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29232
51.9%
Common 27039
48.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1130
 
3.9%
1092
 
3.7%
919
 
3.1%
902
 
3.1%
630
 
2.2%
594
 
2.0%
583
 
2.0%
547
 
1.9%
528
 
1.8%
522
 
1.8%
Other values (198) 21785
74.5%
Common
ValueCountFrequency (%)
( 6014
22.2%
) 6014
22.2%
2 3334
12.3%
3 2809
10.4%
1 1972
 
7.3%
4 1956
 
7.2%
5 1371
 
5.1%
0 879
 
3.3%
7 822
 
3.0%
6 803
 
3.0%
Other values (2) 1065
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29232
51.9%
ASCII 27039
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 6014
22.2%
) 6014
22.2%
2 3334
12.3%
3 2809
10.4%
1 1972
 
7.3%
4 1956
 
7.2%
5 1371
 
5.1%
0 879
 
3.3%
7 822
 
3.0%
6 803
 
3.0%
Other values (2) 1065
 
3.9%
Hangul
ValueCountFrequency (%)
1130
 
3.9%
1092
 
3.7%
919
 
3.1%
902
 
3.1%
630
 
2.2%
594
 
2.0%
583
 
2.0%
547
 
1.9%
528
 
1.8%
522
 
1.8%
Other values (198) 21785
74.5%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하차
5031 
승차
4969 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하차 5031
50.3%
승차 4969
49.7%

Length

2024-04-30T01:33:49.177224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:33:49.255269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하차 5031
50.3%
승차 4969
49.7%

05~06
Text

Distinct747
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:49.580555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.2913
Min length2

Characters and Unicode

Total characters32913
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)2.5%

Sample

1st row15
2nd row21
3rd row207
4th row36
5th row30
ValueCountFrequency (%)
21 115
 
1.1%
13 113
 
1.1%
34 113
 
1.1%
23 113
 
1.1%
25 113
 
1.1%
20 112
 
1.1%
15 108
 
1.1%
18 108
 
1.1%
30 107
 
1.1%
26 106
 
1.1%
Other values (737) 8892
88.9%
2024-04-30T01:33:50.108364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
30.4%
1 4325
13.1%
2 3149
 
9.6%
3 2846
 
8.6%
4 2345
 
7.1%
5 1964
 
6.0%
6 1810
 
5.5%
8 1699
 
5.2%
7 1672
 
5.1%
9 1549
 
4.7%
Other values (2) 1554
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22829
69.4%
Space Separator 10000
30.4%
Other Punctuation 84
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4325
18.9%
2 3149
13.8%
3 2846
12.5%
4 2345
10.3%
5 1964
8.6%
6 1810
7.9%
8 1699
 
7.4%
7 1672
 
7.3%
9 1549
 
6.8%
0 1470
 
6.4%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
30.4%
1 4325
13.1%
2 3149
 
9.6%
3 2846
 
8.6%
4 2345
 
7.1%
5 1964
 
6.0%
6 1810
 
5.5%
8 1699
 
5.2%
7 1672
 
5.1%
9 1549
 
4.7%
Other values (2) 1554
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
30.4%
1 4325
13.1%
2 3149
 
9.6%
3 2846
 
8.6%
4 2345
 
7.1%
5 1964
 
6.0%
6 1810
 
5.5%
8 1699
 
5.2%
7 1672
 
5.1%
9 1549
 
4.7%
Other values (2) 1554
 
4.7%

06~07
Text

Distinct1395
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:50.459673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.886
Min length2

Characters and Unicode

Total characters38860
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)4.5%

Sample

1st row50
2nd row71
3rd row662
4th row110
5th row50
ValueCountFrequency (%)
92 45
 
0.4%
62 42
 
0.4%
74 42
 
0.4%
82 41
 
0.4%
79 37
 
0.4%
53 37
 
0.4%
147 37
 
0.4%
129 36
 
0.4%
59 36
 
0.4%
84 36
 
0.4%
Other values (1385) 9611
96.1%
2024-04-30T01:33:50.953763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
25.7%
1 5022
12.9%
2 3863
 
9.9%
3 3115
 
8.0%
4 2646
 
6.8%
5 2612
 
6.7%
6 2357
 
6.1%
7 2308
 
5.9%
8 2238
 
5.8%
9 2184
 
5.6%
Other values (2) 2515
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28307
72.8%
Space Separator 10000
 
25.7%
Other Punctuation 553
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5022
17.7%
2 3863
13.6%
3 3115
11.0%
4 2646
9.3%
5 2612
9.2%
6 2357
8.3%
7 2308
8.2%
8 2238
7.9%
9 2184
7.7%
0 1962
 
6.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 553
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
25.7%
1 5022
12.9%
2 3863
 
9.9%
3 3115
 
8.0%
4 2646
 
6.8%
5 2612
 
6.7%
6 2357
 
6.1%
7 2308
 
5.9%
8 2238
 
5.8%
9 2184
 
5.6%
Other values (2) 2515
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
25.7%
1 5022
12.9%
2 3863
 
9.9%
3 3115
 
8.0%
4 2646
 
6.8%
5 2612
 
6.7%
6 2357
 
6.1%
7 2308
 
5.9%
8 2238
 
5.8%
9 2184
 
5.6%
Other values (2) 2515
 
6.5%

07~08
Text

Distinct2664
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:51.337737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.3656
Min length2

Characters and Unicode

Total characters43656
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1212 ?
Unique (%)12.1%

Sample

1st row36
2nd row107
3rd row2,035
4th row380
5th row85
ValueCountFrequency (%)
107 27
 
0.3%
122 26
 
0.3%
41 25
 
0.2%
65 25
 
0.2%
85 24
 
0.2%
109 24
 
0.2%
137 24
 
0.2%
97 24
 
0.2%
182 23
 
0.2%
78 23
 
0.2%
Other values (2654) 9755
97.5%
2024-04-30T01:33:51.816429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.9%
1 5278
12.1%
2 4270
9.8%
3 3310
 
7.6%
4 2904
 
6.7%
5 2882
 
6.6%
6 2711
 
6.2%
7 2512
 
5.8%
9 2507
 
5.7%
8 2502
 
5.7%
Other values (2) 4780
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31176
71.4%
Space Separator 10000
 
22.9%
Other Punctuation 2480
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5278
16.9%
2 4270
13.7%
3 3310
10.6%
4 2904
9.3%
5 2882
9.2%
6 2711
8.7%
7 2512
8.1%
9 2507
8.0%
8 2502
8.0%
0 2300
7.4%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.9%
1 5278
12.1%
2 4270
9.8%
3 3310
 
7.6%
4 2904
 
6.7%
5 2882
 
6.6%
6 2711
 
6.2%
7 2512
 
5.8%
9 2507
 
5.7%
8 2502
 
5.7%
Other values (2) 4780
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.9%
1 5278
12.1%
2 4270
9.8%
3 3310
 
7.6%
4 2904
 
6.7%
5 2882
 
6.6%
6 2711
 
6.2%
7 2512
 
5.8%
9 2507
 
5.7%
8 2502
 
5.7%
Other values (2) 4780
10.9%

08~09
Text

Distinct3511
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:52.182826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.7854
Min length2

Characters and Unicode

Total characters47854
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1683 ?
Unique (%)16.8%

Sample

1st row87
2nd row280
3rd row5,948
4th row450
5th row295
ValueCountFrequency (%)
247 19
 
0.2%
121 17
 
0.2%
345 16
 
0.2%
99 16
 
0.2%
279 16
 
0.2%
369 15
 
0.1%
234 15
 
0.1%
318 15
 
0.1%
83 15
 
0.1%
337 15
 
0.1%
Other values (3501) 9841
98.4%
2024-04-30T01:33:52.654077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.9%
1 5758
12.0%
2 4160
8.7%
, 4140
8.7%
3 3731
 
7.8%
4 3279
 
6.9%
5 3055
 
6.4%
6 2936
 
6.1%
7 2799
 
5.8%
8 2797
 
5.8%
Other values (2) 5199
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33714
70.5%
Space Separator 10000
 
20.9%
Other Punctuation 4140
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5758
17.1%
2 4160
12.3%
3 3731
11.1%
4 3279
9.7%
5 3055
9.1%
6 2936
8.7%
7 2799
8.3%
8 2797
8.3%
9 2747
8.1%
0 2452
7.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.9%
1 5758
12.0%
2 4160
8.7%
, 4140
8.7%
3 3731
 
7.8%
4 3279
 
6.9%
5 3055
 
6.4%
6 2936
 
6.1%
7 2799
 
5.8%
8 2797
 
5.8%
Other values (2) 5199
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.9%
1 5758
12.0%
2 4160
8.7%
, 4140
8.7%
3 3731
 
7.8%
4 3279
 
6.9%
5 3055
 
6.4%
6 2936
 
6.1%
7 2799
 
5.8%
8 2797
 
5.8%
Other values (2) 5199
10.9%

09~10
Text

Distinct2720
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:53.000936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.5397
Min length2

Characters and Unicode

Total characters45397
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1111 ?
Unique (%)11.1%

Sample

1st row126
2nd row140
3rd row3,693
4th row225
5th row243
ValueCountFrequency (%)
438 20
 
0.2%
318 20
 
0.2%
222 19
 
0.2%
469 18
 
0.2%
305 17
 
0.2%
241 17
 
0.2%
491 17
 
0.2%
371 17
 
0.2%
175 17
 
0.2%
187 17
 
0.2%
Other values (2710) 9821
98.2%
2024-04-30T01:33:53.462939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.0%
1 5269
11.6%
2 3804
 
8.4%
3 3563
 
7.8%
4 3368
 
7.4%
5 3060
 
6.7%
, 2920
 
6.4%
6 2889
 
6.4%
7 2775
 
6.1%
8 2768
 
6.1%
Other values (2) 4981
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32477
71.5%
Space Separator 10000
 
22.0%
Other Punctuation 2920
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5269
16.2%
2 3804
11.7%
3 3563
11.0%
4 3368
10.4%
5 3060
9.4%
6 2889
8.9%
7 2775
8.5%
8 2768
8.5%
9 2558
7.9%
0 2423
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2920
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.0%
1 5269
11.6%
2 3804
 
8.4%
3 3563
 
7.8%
4 3368
 
7.4%
5 3060
 
6.7%
, 2920
 
6.4%
6 2889
 
6.4%
7 2775
 
6.1%
8 2768
 
6.1%
Other values (2) 4981
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.0%
1 5269
11.6%
2 3804
 
8.4%
3 3563
 
7.8%
4 3368
 
7.4%
5 3060
 
6.7%
, 2920
 
6.4%
6 2889
 
6.4%
7 2775
 
6.1%
8 2768
 
6.1%
Other values (2) 4981
11.0%

10~11
Text

Distinct2177
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:53.825285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3321
Min length2

Characters and Unicode

Total characters43321
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique800 ?
Unique (%)8.0%

Sample

1st row168
2nd row147
3rd row1,511
4th row195
5th row516
ValueCountFrequency (%)
272 21
 
0.2%
273 21
 
0.2%
166 21
 
0.2%
158 20
 
0.2%
234 20
 
0.2%
349 20
 
0.2%
171 20
 
0.2%
233 20
 
0.2%
165 19
 
0.2%
214 19
 
0.2%
Other values (2167) 9799
98.0%
2024-04-30T01:33:54.327830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.1%
1 4661
10.8%
2 4090
9.4%
3 3444
 
7.9%
4 3237
 
7.5%
5 3090
 
7.1%
6 2997
 
6.9%
7 2740
 
6.3%
8 2491
 
5.8%
0 2343
 
5.4%
Other values (2) 4228
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31417
72.5%
Space Separator 10000
 
23.1%
Other Punctuation 1904
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4661
14.8%
2 4090
13.0%
3 3444
11.0%
4 3237
10.3%
5 3090
9.8%
6 2997
9.5%
7 2740
8.7%
8 2491
7.9%
0 2343
7.5%
9 2324
7.4%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1904
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43321
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.1%
1 4661
10.8%
2 4090
9.4%
3 3444
 
7.9%
4 3237
 
7.5%
5 3090
 
7.1%
6 2997
 
6.9%
7 2740
 
6.3%
8 2491
 
5.8%
0 2343
 
5.4%
Other values (2) 4228
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.1%
1 4661
10.8%
2 4090
9.4%
3 3444
 
7.9%
4 3237
 
7.5%
5 3090
 
7.1%
6 2997
 
6.9%
7 2740
 
6.3%
8 2491
 
5.8%
0 2343
 
5.4%
Other values (2) 4228
9.8%

11~12
Text

Distinct2168
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:54.707220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3492
Min length3

Characters and Unicode

Total characters43492
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique756 ?
Unique (%)7.6%

Sample

1st row133
2nd row138
3rd row1,131
4th row208
5th row462
ValueCountFrequency (%)
183 23
 
0.2%
188 22
 
0.2%
320 22
 
0.2%
180 21
 
0.2%
217 21
 
0.2%
228 21
 
0.2%
204 20
 
0.2%
165 20
 
0.2%
240 19
 
0.2%
278 19
 
0.2%
Other values (2158) 9792
97.9%
2024-04-30T01:33:55.179724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.0%
1 4797
11.0%
2 4002
9.2%
3 3603
 
8.3%
4 3224
 
7.4%
5 3095
 
7.1%
6 2797
 
6.4%
7 2585
 
5.9%
8 2522
 
5.8%
9 2463
 
5.7%
Other values (2) 4404
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31513
72.5%
Space Separator 10000
 
23.0%
Other Punctuation 1979
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4797
15.2%
2 4002
12.7%
3 3603
11.4%
4 3224
10.2%
5 3095
9.8%
6 2797
8.9%
7 2585
8.2%
8 2522
8.0%
9 2463
7.8%
0 2425
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1979
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.0%
1 4797
11.0%
2 4002
9.2%
3 3603
 
8.3%
4 3224
 
7.4%
5 3095
 
7.1%
6 2797
 
6.4%
7 2585
 
5.9%
8 2522
 
5.8%
9 2463
 
5.7%
Other values (2) 4404
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.0%
1 4797
11.0%
2 4002
9.2%
3 3603
 
8.3%
4 3224
 
7.4%
5 3095
 
7.1%
6 2797
 
6.4%
7 2585
 
5.9%
8 2522
 
5.8%
9 2463
 
5.7%
Other values (2) 4404
10.1%

12~13
Text

Distinct2292
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:55.551723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4048
Min length2

Characters and Unicode

Total characters44048
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique816 ?
Unique (%)8.2%

Sample

1st row143
2nd row148
3rd row880
4th row253
5th row781
ValueCountFrequency (%)
320 21
 
0.2%
378 20
 
0.2%
266 20
 
0.2%
269 20
 
0.2%
304 19
 
0.2%
470 19
 
0.2%
207 19
 
0.2%
307 19
 
0.2%
306 18
 
0.2%
511 18
 
0.2%
Other values (2282) 9807
98.1%
2024-04-30T01:33:56.282821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.7%
1 4672
10.6%
2 3938
 
8.9%
3 3620
 
8.2%
4 3257
 
7.4%
5 3249
 
7.4%
6 2959
 
6.7%
7 2746
 
6.2%
8 2523
 
5.7%
0 2448
 
5.6%
Other values (2) 4636
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31825
72.3%
Space Separator 10000
 
22.7%
Other Punctuation 2223
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4672
14.7%
2 3938
12.4%
3 3620
11.4%
4 3257
10.2%
5 3249
10.2%
6 2959
9.3%
7 2746
8.6%
8 2523
7.9%
0 2448
7.7%
9 2413
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44048
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.7%
1 4672
10.6%
2 3938
 
8.9%
3 3620
 
8.2%
4 3257
 
7.4%
5 3249
 
7.4%
6 2959
 
6.7%
7 2746
 
6.2%
8 2523
 
5.7%
0 2448
 
5.6%
Other values (2) 4636
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.7%
1 4672
10.6%
2 3938
 
8.9%
3 3620
 
8.2%
4 3257
 
7.4%
5 3249
 
7.4%
6 2959
 
6.7%
7 2746
 
6.2%
8 2523
 
5.7%
0 2448
 
5.6%
Other values (2) 4636
10.5%

13~14
Text

Distinct2447
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:56.662318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.482
Min length3

Characters and Unicode

Total characters44820
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique914 ?
Unique (%)9.1%

Sample

1st row184
2nd row171
3rd row1,094
4th row252
5th row649
ValueCountFrequency (%)
284 22
 
0.2%
456 21
 
0.2%
193 19
 
0.2%
499 19
 
0.2%
291 19
 
0.2%
698 18
 
0.2%
278 18
 
0.2%
394 18
 
0.2%
297 18
 
0.2%
262 18
 
0.2%
Other values (2437) 9810
98.1%
2024-04-30T01:33:57.143244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.3%
1 4857
10.8%
2 3945
 
8.8%
3 3513
 
7.8%
4 3287
 
7.3%
5 3233
 
7.2%
6 2887
 
6.4%
7 2713
 
6.1%
8 2705
 
6.0%
9 2603
 
5.8%
Other values (2) 5077
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32236
71.9%
Space Separator 10000
 
22.3%
Other Punctuation 2584
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4857
15.1%
2 3945
12.2%
3 3513
10.9%
4 3287
10.2%
5 3233
10.0%
6 2887
9.0%
7 2713
8.4%
8 2705
8.4%
9 2603
8.1%
0 2493
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2584
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44820
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.3%
1 4857
10.8%
2 3945
 
8.8%
3 3513
 
7.8%
4 3287
 
7.3%
5 3233
 
7.2%
6 2887
 
6.4%
7 2713
 
6.1%
8 2705
 
6.0%
9 2603
 
5.8%
Other values (2) 5077
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.3%
1 4857
10.8%
2 3945
 
8.8%
3 3513
 
7.8%
4 3287
 
7.3%
5 3233
 
7.2%
6 2887
 
6.4%
7 2713
 
6.1%
8 2705
 
6.0%
9 2603
 
5.8%
Other values (2) 5077
11.3%

14~15
Text

Distinct2444
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:57.518923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4851
Min length3

Characters and Unicode

Total characters44851
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique905 ?
Unique (%)9.0%

Sample

1st row182
2nd row204
3rd row1,086
4th row269
5th row828
ValueCountFrequency (%)
459 21
 
0.2%
341 21
 
0.2%
319 20
 
0.2%
260 20
 
0.2%
287 20
 
0.2%
323 20
 
0.2%
314 19
 
0.2%
296 19
 
0.2%
353 19
 
0.2%
407 18
 
0.2%
Other values (2434) 9803
98.0%
2024-04-30T01:33:58.020954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.3%
1 4859
10.8%
2 4065
9.1%
3 3659
 
8.2%
4 3320
 
7.4%
5 3198
 
7.1%
6 2906
 
6.5%
7 2633
 
5.9%
8 2630
 
5.9%
, 2589
 
5.8%
Other values (2) 4992
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32262
71.9%
Space Separator 10000
 
22.3%
Other Punctuation 2589
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4859
15.1%
2 4065
12.6%
3 3659
11.3%
4 3320
10.3%
5 3198
9.9%
6 2906
9.0%
7 2633
8.2%
8 2630
8.2%
9 2575
8.0%
0 2417
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44851
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.3%
1 4859
10.8%
2 4065
9.1%
3 3659
 
8.2%
4 3320
 
7.4%
5 3198
 
7.1%
6 2906
 
6.5%
7 2633
 
5.9%
8 2630
 
5.9%
, 2589
 
5.8%
Other values (2) 4992
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.3%
1 4859
10.8%
2 4065
9.1%
3 3659
 
8.2%
4 3320
 
7.4%
5 3198
 
7.1%
6 2906
 
6.5%
7 2633
 
5.9%
8 2630
 
5.9%
, 2589
 
5.8%
Other values (2) 4992
11.1%

15~16
Text

Distinct2516
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:58.399687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.519
Min length3

Characters and Unicode

Total characters45190
Distinct characters12
Distinct 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 row203
2nd row215
3rd row946
4th row383
5th row759
ValueCountFrequency (%)
401 21
 
0.2%
338 20
 
0.2%
332 20
 
0.2%
302 18
 
0.2%
330 18
 
0.2%
277 18
 
0.2%
499 17
 
0.2%
351 17
 
0.2%
313 17
 
0.2%
339 17
 
0.2%
Other values (2506) 9817
98.2%
2024-04-30T01:33:58.858286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.1%
1 4885
10.8%
2 3870
 
8.6%
3 3771
 
8.3%
4 3340
 
7.4%
5 3197
 
7.1%
6 2949
 
6.5%
, 2746
 
6.1%
8 2644
 
5.9%
7 2630
 
5.8%
Other values (2) 5158
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32444
71.8%
Space Separator 10000
 
22.1%
Other Punctuation 2746
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4885
15.1%
2 3870
11.9%
3 3771
11.6%
4 3340
10.3%
5 3197
9.9%
6 2949
9.1%
8 2644
8.1%
7 2630
8.1%
0 2591
8.0%
9 2567
7.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2746
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.1%
1 4885
10.8%
2 3870
 
8.6%
3 3771
 
8.3%
4 3340
 
7.4%
5 3197
 
7.1%
6 2949
 
6.5%
, 2746
 
6.1%
8 2644
 
5.9%
7 2630
 
5.8%
Other values (2) 5158
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.1%
1 4885
10.8%
2 3870
 
8.6%
3 3771
 
8.3%
4 3340
 
7.4%
5 3197
 
7.1%
6 2949
 
6.5%
, 2746
 
6.1%
8 2644
 
5.9%
7 2630
 
5.8%
Other values (2) 5158
11.4%

16~17
Text

Distinct2619
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:59.200550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5588
Min length3

Characters and Unicode

Total characters45588
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1014 ?
Unique (%)10.1%

Sample

1st row206
2nd row258
3rd row996
4th row424
5th row918
ValueCountFrequency (%)
399 20
 
0.2%
303 20
 
0.2%
364 19
 
0.2%
434 18
 
0.2%
351 17
 
0.2%
437 17
 
0.2%
422 17
 
0.2%
536 17
 
0.2%
391 17
 
0.2%
230 17
 
0.2%
Other values (2609) 9821
98.2%
2024-04-30T01:33:59.665370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.9%
1 4931
10.8%
2 3899
 
8.6%
3 3613
 
7.9%
4 3521
 
7.7%
5 3203
 
7.0%
6 2985
 
6.5%
, 2928
 
6.4%
7 2870
 
6.3%
9 2625
 
5.8%
Other values (2) 5013
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32660
71.6%
Space Separator 10000
 
21.9%
Other Punctuation 2928
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4931
15.1%
2 3899
11.9%
3 3613
11.1%
4 3521
10.8%
5 3203
9.8%
6 2985
9.1%
7 2870
8.8%
9 2625
8.0%
8 2578
7.9%
0 2435
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2928
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.9%
1 4931
10.8%
2 3899
 
8.6%
3 3613
 
7.9%
4 3521
 
7.7%
5 3203
 
7.0%
6 2985
 
6.5%
, 2928
 
6.4%
7 2870
 
6.3%
9 2625
 
5.8%
Other values (2) 5013
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.9%
1 4931
10.8%
2 3899
 
8.6%
3 3613
 
7.9%
4 3521
 
7.7%
5 3203
 
7.0%
6 2985
 
6.5%
, 2928
 
6.4%
7 2870
 
6.3%
9 2625
 
5.8%
Other values (2) 5013
11.0%

17~18
Text

Distinct2867
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:00.028876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.6711
Min length3

Characters and Unicode

Total characters46711
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1129 ?
Unique (%)11.3%

Sample

1st row215
2nd row261
3rd row898
4th row395
5th row860
ValueCountFrequency (%)
423 18
 
0.2%
446 17
 
0.2%
350 17
 
0.2%
567 17
 
0.2%
664 17
 
0.2%
527 16
 
0.2%
397 16
 
0.2%
427 15
 
0.1%
357 15
 
0.1%
499 15
 
0.1%
Other values (2857) 9837
98.4%
2024-04-30T01:34:00.583917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.4%
1 5259
11.3%
2 3800
 
8.1%
3 3486
 
7.5%
, 3474
 
7.4%
4 3389
 
7.3%
5 3139
 
6.7%
6 3046
 
6.5%
7 2888
 
6.2%
8 2877
 
6.2%
Other values (2) 5353
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33237
71.2%
Space Separator 10000
 
21.4%
Other Punctuation 3474
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5259
15.8%
2 3800
11.4%
3 3486
10.5%
4 3389
10.2%
5 3139
9.4%
6 3046
9.2%
7 2888
8.7%
8 2877
8.7%
9 2800
8.4%
0 2553
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3474
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46711
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.4%
1 5259
11.3%
2 3800
 
8.1%
3 3486
 
7.5%
, 3474
 
7.4%
4 3389
 
7.3%
5 3139
 
6.7%
6 3046
 
6.5%
7 2888
 
6.2%
8 2877
 
6.2%
Other values (2) 5353
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46711
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.4%
1 5259
11.3%
2 3800
 
8.1%
3 3486
 
7.5%
, 3474
 
7.4%
4 3389
 
7.3%
5 3139
 
6.7%
6 3046
 
6.5%
7 2888
 
6.2%
8 2877
 
6.2%
Other values (2) 5353
11.5%

18~19
Text

Distinct3485
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:00.941516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.8937
Min length3

Characters and Unicode

Total characters48937
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1571 ?
Unique (%)15.7%

Sample

1st row194
2nd row346
3rd row1,283
4th row574
5th row637
ValueCountFrequency (%)
679 16
 
0.2%
304 14
 
0.1%
368 14
 
0.1%
683 14
 
0.1%
394 14
 
0.1%
633 13
 
0.1%
343 13
 
0.1%
149 13
 
0.1%
480 13
 
0.1%
601 12
 
0.1%
Other values (3475) 9864
98.6%
2024-04-30T01:34:01.415308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.4%
1 5663
11.6%
, 4561
9.3%
2 4038
8.3%
3 3643
 
7.4%
4 3355
 
6.9%
5 3259
 
6.7%
6 3219
 
6.6%
7 2969
 
6.1%
9 2818
 
5.8%
Other values (2) 5412
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34376
70.2%
Space Separator 10000
 
20.4%
Other Punctuation 4561
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5663
16.5%
2 4038
11.7%
3 3643
10.6%
4 3355
9.8%
5 3259
9.5%
6 3219
9.4%
7 2969
8.6%
9 2818
8.2%
8 2764
8.0%
0 2648
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4561
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48937
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.4%
1 5663
11.6%
, 4561
9.3%
2 4038
8.3%
3 3643
 
7.4%
4 3355
 
6.9%
5 3259
 
6.7%
6 3219
 
6.6%
7 2969
 
6.1%
9 2818
 
5.8%
Other values (2) 5412
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.4%
1 5663
11.6%
, 4561
9.3%
2 4038
8.3%
3 3643
 
7.4%
4 3355
 
6.9%
5 3259
 
6.7%
6 3219
 
6.6%
7 2969
 
6.1%
9 2818
 
5.8%
Other values (2) 5412
11.1%

19~20
Text

Distinct3127
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:01.802298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.689
Min length2

Characters and Unicode

Total characters46890
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1355 ?
Unique (%)13.6%

Sample

1st row209
2nd row309
3rd row1,029
4th row280
5th row497
ValueCountFrequency (%)
172 18
 
0.2%
229 18
 
0.2%
340 17
 
0.2%
291 17
 
0.2%
333 16
 
0.2%
222 16
 
0.2%
578 15
 
0.1%
364 15
 
0.1%
346 15
 
0.1%
293 15
 
0.1%
Other values (3117) 9838
98.4%
2024-04-30T01:34:02.262885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.3%
1 5342
11.4%
2 3993
 
8.5%
3 3708
 
7.9%
, 3649
 
7.8%
4 3258
 
6.9%
5 3174
 
6.8%
6 3066
 
6.5%
7 2843
 
6.1%
8 2720
 
5.8%
Other values (2) 5137
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33241
70.9%
Space Separator 10000
 
21.3%
Other Punctuation 3649
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5342
16.1%
2 3993
12.0%
3 3708
11.2%
4 3258
9.8%
5 3174
9.5%
6 3066
9.2%
7 2843
8.6%
8 2720
8.2%
9 2650
8.0%
0 2487
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3649
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46890
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.3%
1 5342
11.4%
2 3993
 
8.5%
3 3708
 
7.9%
, 3649
 
7.8%
4 3258
 
6.9%
5 3174
 
6.8%
6 3066
 
6.5%
7 2843
 
6.1%
8 2720
 
5.8%
Other values (2) 5137
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.3%
1 5342
11.4%
2 3993
 
8.5%
3 3708
 
7.9%
, 3649
 
7.8%
4 3258
 
6.9%
5 3174
 
6.8%
6 3066
 
6.5%
7 2843
 
6.1%
8 2720
 
5.8%
Other values (2) 5137
11.0%

20~21
Text

Distinct2455
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:02.650395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4097
Min length2

Characters and Unicode

Total characters44097
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)10.0%

Sample

1st row171
2nd row249
3rd row565
4th row245
5th row385
ValueCountFrequency (%)
310 25
 
0.2%
211 23
 
0.2%
150 23
 
0.2%
117 22
 
0.2%
168 22
 
0.2%
207 21
 
0.2%
245 20
 
0.2%
195 20
 
0.2%
167 20
 
0.2%
124 20
 
0.2%
Other values (2445) 9784
97.8%
2024-04-30T01:34:03.148526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.7%
1 5222
11.8%
2 4020
9.1%
3 3513
 
8.0%
4 3224
 
7.3%
5 2942
 
6.7%
6 2706
 
6.1%
8 2665
 
6.0%
7 2633
 
6.0%
9 2418
 
5.5%
Other values (2) 4754
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31739
72.0%
Space Separator 10000
 
22.7%
Other Punctuation 2358
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5222
16.5%
2 4020
12.7%
3 3513
11.1%
4 3224
10.2%
5 2942
9.3%
6 2706
8.5%
8 2665
8.4%
7 2633
8.3%
9 2418
7.6%
0 2396
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44097
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.7%
1 5222
11.8%
2 4020
9.1%
3 3513
 
8.0%
4 3224
 
7.3%
5 2942
 
6.7%
6 2706
 
6.1%
8 2665
 
6.0%
7 2633
 
6.0%
9 2418
 
5.5%
Other values (2) 4754
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44097
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.7%
1 5222
11.8%
2 4020
9.1%
3 3513
 
8.0%
4 3224
 
7.3%
5 2942
 
6.7%
6 2706
 
6.1%
8 2665
 
6.0%
7 2633
 
6.0%
9 2418
 
5.5%
Other values (2) 4754
10.8%

21~22
Text

Distinct2326
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:03.511830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.3265
Min length2

Characters and Unicode

Total characters43265
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique951 ?
Unique (%)9.5%

Sample

1st row193
2nd row268
3rd row528
4th row193
5th row397
ValueCountFrequency (%)
154 27
 
0.3%
201 25
 
0.2%
190 23
 
0.2%
195 23
 
0.2%
315 21
 
0.2%
361 21
 
0.2%
139 21
 
0.2%
104 20
 
0.2%
143 20
 
0.2%
147 20
 
0.2%
Other values (2316) 9779
97.8%
2024-04-30T01:34:04.027815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.1%
1 4938
11.4%
2 3934
 
9.1%
3 3626
 
8.4%
4 3165
 
7.3%
5 2915
 
6.7%
6 2762
 
6.4%
7 2614
 
6.0%
8 2451
 
5.7%
9 2424
 
5.6%
Other values (2) 4436
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31244
72.2%
Space Separator 10000
 
23.1%
Other Punctuation 2021
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4938
15.8%
2 3934
12.6%
3 3626
11.6%
4 3165
10.1%
5 2915
9.3%
6 2762
8.8%
7 2614
8.4%
8 2451
7.8%
9 2424
7.8%
0 2415
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2021
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.1%
1 4938
11.4%
2 3934
 
9.1%
3 3626
 
8.4%
4 3165
 
7.3%
5 2915
 
6.7%
6 2762
 
6.4%
7 2614
 
6.0%
8 2451
 
5.7%
9 2424
 
5.6%
Other values (2) 4436
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.1%
1 4938
11.4%
2 3934
 
9.1%
3 3626
 
8.4%
4 3165
 
7.3%
5 2915
 
6.7%
6 2762
 
6.4%
7 2614
 
6.0%
8 2451
 
5.7%
9 2424
 
5.6%
Other values (2) 4436
10.3%

22~23
Text

Distinct2201
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:04.418660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.2402
Min length2

Characters and Unicode

Total characters42402
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique920 ?
Unique (%)9.2%

Sample

1st row197
2nd row219
3rd row500
4th row217
5th row270
ValueCountFrequency (%)
132 27
 
0.3%
166 26
 
0.3%
169 25
 
0.2%
238 24
 
0.2%
141 24
 
0.2%
107 24
 
0.2%
78 23
 
0.2%
101 23
 
0.2%
165 22
 
0.2%
174 22
 
0.2%
Other values (2191) 9760
97.6%
2024-04-30T01:34:04.899429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.6%
1 4949
11.7%
2 3934
 
9.3%
3 3455
 
8.1%
4 3078
 
7.3%
5 2822
 
6.7%
6 2669
 
6.3%
7 2624
 
6.2%
8 2482
 
5.9%
9 2336
 
5.5%
Other values (2) 4053
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30654
72.3%
Space Separator 10000
 
23.6%
Other Punctuation 1748
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4949
16.1%
2 3934
12.8%
3 3455
11.3%
4 3078
10.0%
5 2822
9.2%
6 2669
8.7%
7 2624
8.6%
8 2482
8.1%
9 2336
7.6%
0 2305
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1748
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.6%
1 4949
11.7%
2 3934
 
9.3%
3 3455
 
8.1%
4 3078
 
7.3%
5 2822
 
6.7%
6 2669
 
6.3%
7 2624
 
6.2%
8 2482
 
5.9%
9 2336
 
5.5%
Other values (2) 4053
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.6%
1 4949
11.7%
2 3934
 
9.3%
3 3455
 
8.1%
4 3078
 
7.3%
5 2822
 
6.7%
6 2669
 
6.3%
7 2624
 
6.2%
8 2482
 
5.9%
9 2336
 
5.5%
Other values (2) 4053
9.6%

23~24
Text

Distinct1569
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:05.273219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.8905
Min length2

Characters and Unicode

Total characters38905
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique607 ?
Unique (%)6.1%

Sample

1st row146
2nd row233
3rd row270
4th row138
5th row113
ValueCountFrequency (%)
61 43
 
0.4%
87 41
 
0.4%
53 40
 
0.4%
49 39
 
0.4%
54 39
 
0.4%
48 37
 
0.4%
111 37
 
0.4%
33 36
 
0.4%
30 36
 
0.4%
60 35
 
0.4%
Other values (1559) 9617
96.2%
2024-04-30T01:34:05.751727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
25.7%
1 4842
12.4%
2 3652
 
9.4%
3 3225
 
8.3%
4 2866
 
7.4%
5 2639
 
6.8%
6 2407
 
6.2%
7 2228
 
5.7%
8 2145
 
5.5%
9 2097
 
5.4%
Other values (2) 2804
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28102
72.2%
Space Separator 10000
 
25.7%
Other Punctuation 803
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4842
17.2%
2 3652
13.0%
3 3225
11.5%
4 2866
10.2%
5 2639
9.4%
6 2407
8.6%
7 2228
7.9%
8 2145
7.6%
9 2097
7.5%
0 2001
7.1%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 803
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38905
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
25.7%
1 4842
12.4%
2 3652
 
9.4%
3 3225
 
8.3%
4 2866
 
7.4%
5 2639
 
6.8%
6 2407
 
6.2%
7 2228
 
5.7%
8 2145
 
5.5%
9 2097
 
5.4%
Other values (2) 2804
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
25.7%
1 4842
12.4%
2 3652
 
9.4%
3 3225
 
8.3%
4 2866
 
7.4%
5 2639
 
6.8%
6 2407
 
6.2%
7 2228
 
5.7%
8 2145
 
5.5%
9 2097
 
5.4%
Other values (2) 2804
 
7.2%

24~
Text

Distinct673
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:06.073674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.0199
Min length2

Characters and Unicode

Total characters30199
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)2.0%

Sample

1st row17
2nd row28
3rd row72
4th row37
5th row0
ValueCountFrequency (%)
0 1490
 
14.9%
1 358
 
3.6%
2 221
 
2.2%
3 140
 
1.4%
11 118
 
1.2%
5 116
 
1.2%
6 113
 
1.1%
10 111
 
1.1%
12 107
 
1.1%
4 107
 
1.1%
Other values (663) 7119
71.2%
2024-04-30T01:34:06.533761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
33.1%
1 4011
13.3%
2 2792
 
9.2%
0 2700
 
8.9%
3 2089
 
6.9%
4 1765
 
5.8%
5 1518
 
5.0%
6 1514
 
5.0%
7 1336
 
4.4%
8 1224
 
4.1%
Other values (2) 1250
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20142
66.7%
Space Separator 10000
33.1%
Other Punctuation 57
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4011
19.9%
2 2792
13.9%
0 2700
13.4%
3 2089
10.4%
4 1765
8.8%
5 1518
 
7.5%
6 1514
 
7.5%
7 1336
 
6.6%
8 1224
 
6.1%
9 1193
 
5.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
33.1%
1 4011
13.3%
2 2792
 
9.2%
0 2700
 
8.9%
3 2089
 
6.9%
4 1765
 
5.8%
5 1518
 
5.0%
6 1514
 
5.0%
7 1336
 
4.4%
8 1224
 
4.1%
Other values (2) 1250
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
33.1%
1 4011
13.3%
2 2792
 
9.2%
0 2700
 
8.9%
3 2089
 
6.9%
4 1765
 
5.8%
5 1518
 
5.0%
6 1514
 
5.0%
7 1336
 
4.4%
8 1224
 
4.1%
Other values (2) 1250
 
4.1%

Sample

날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
207932016-02-072725용마산하차1550368712616813314318418220320621519420917119319714617
126012016-01-232754부천종합운동장하차217110728014014713814817120421525826134630924926821923328
22672016-01-05224서초(224)하차2076622,0355,9483,6931,5111,1318801,0941,0869469968981,2831,02956552850027072
141062016-01-262620월드컵경기장승차3611038045022519520825325226938342439557428024519321713837
242242016-02-14203을지로3가(203)승차3050852952435164627816498287599188606374973853972701130
142642016-01-262761부평구청(7)승차2241,0012,8612,1211,10059550654149641245248275475943529227819010219
22782016-01-05230신림(230)승차1,6763,34811,06915,3937,4653,5243,0313,0853,2932,9102,8152,8843,3734,0492,9632,4262,3822,1391,213276
140372016-01-262535종로3가(5)하차162046402,2151,7441,2751,2411,1681,1961,04186678473484452628120514611862
190852016-02-042634약수(6)하차13642117984042832021791972111731962073422561411281189750
74302016-01-142532충정로(5)승차42822323091811522041881842452582363591,1655493122941798621
날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
81752016-01-152741상도하차602032797325874364504495185265405616991,2591,234660635688549201
156442016-01-292514송정승차1583801,3891,46181360761551151741342649468889165538331432520139
222482016-02-102516발산승차571061612212732553093724204254634824655053442822852801121
66072016-01-13153종로3가(153)하차815101,3694,9464,8673,8963,5353,4864,0283,0352,5662,0882,0032,7241,828558347289173103
192312016-02-042818가락시장(8)하차832215131,94877248340838045051645044343774159644836329319187
189782016-02-042531애오개승차711967951,1185083493344304433714003975621,0654373122742278112
60762016-01-12204을지로4가(204)승차24541191942934105666227569139981,1541,6073,2062,11188366343421824
60352016-01-112820장지하차976627832,1381,1794936166657185626826978041,1751,145704678609261127
234732016-02-122628효창공원앞하차171633981,404780362323307374335431365486733615416291315223117
195692016-02-052551굽은다리하차15922035493983443503834145076327328701,3181,161648591567438165