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 16:34:57.376830
Analysis finished2024-04-29 16:34:58.562085
Duration1.19 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
Minimum2013-01-01 00:00:00
Maximum2013-02-15 00:00:00
2024-04-30T01:34:58.618043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:34:58.739472image/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%
Mean1628.2729
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:34:58.855601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile205
Q1318
median2529
Q32648
95-th percentile2814
Maximum2827
Range2677
Interquartile range (IQR)2330

Descriptive statistics

Standard deviation1175.1342
Coefficient of variation (CV)0.7217059
Kurtosis-1.9068746
Mean1628.2729
Median Absolute Deviation (MAD)232
Skewness-0.25931867
Sum16282729
Variance1380940.3
MonotonicityNot monotonic
2024-04-30T01:34:58.995911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208 49
 
0.5%
2739 49
 
0.5%
417 48
 
0.5%
429 48
 
0.5%
2819 46
 
0.5%
230 46
 
0.5%
335 46
 
0.5%
207 46
 
0.5%
248 45
 
0.4%
2756 45
 
0.4%
Other values (265) 9532
95.3%
ValueCountFrequency (%)
150 32
0.3%
151 32
0.3%
152 38
0.4%
153 35
0.4%
154 32
0.3%
155 37
0.4%
156 30
0.3%
157 36
0.4%
158 31
0.3%
159 27
0.3%
ValueCountFrequency (%)
2827 39
0.4%
2826 38
0.4%
2825 35
0.4%
2824 35
0.4%
2823 36
0.4%
2822 38
0.4%
2821 38
0.4%
2820 39
0.4%
2819 46
0.5%
2818 36
0.4%

역명
Text

Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:34:59.247959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.5639
Min length2

Characters and Unicode

Total characters55639
Distinct characters219
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 row양천구청(248)
2nd row용답(244)
3rd row사가정
4th row신당(6)
5th row사당(433)
ValueCountFrequency (%)
왕십리(208 49
 
0.5%
남성 49
 
0.5%
길음(417 48
 
0.5%
신용산(429 48
 
0.5%
문정 46
 
0.5%
신림(230 46
 
0.5%
대치(335 46
 
0.5%
상왕십리(207 46
 
0.5%
신중동 45
 
0.4%
숭실대입구 45
 
0.4%
Other values (265) 9532
95.3%
2024-04-30T01:34:59.616655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 5872
 
10.6%
) 5872
 
10.6%
2 3353
 
6.0%
3 2742
 
4.9%
4 1933
 
3.5%
1 1861
 
3.3%
5 1369
 
2.5%
1196
 
2.1%
1085
 
2.0%
0 908
 
1.6%
Other values (209) 29448
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29035
52.2%
Decimal Number 14860
26.7%
Open Punctuation 5872
 
10.6%
Close Punctuation 5872
 
10.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1196
 
4.1%
1085
 
3.7%
903
 
3.1%
890
 
3.1%
646
 
2.2%
556
 
1.9%
554
 
1.9%
545
 
1.9%
527
 
1.8%
504
 
1.7%
Other values (197) 21629
74.5%
Decimal Number
ValueCountFrequency (%)
2 3353
22.6%
3 2742
18.5%
4 1933
13.0%
1 1861
12.5%
5 1369
9.2%
0 908
 
6.1%
7 838
 
5.6%
6 774
 
5.2%
8 597
 
4.0%
9 485
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 5872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5872
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29035
52.2%
Common 26604
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1196
 
4.1%
1085
 
3.7%
903
 
3.1%
890
 
3.1%
646
 
2.2%
556
 
1.9%
554
 
1.9%
545
 
1.9%
527
 
1.8%
504
 
1.7%
Other values (197) 21629
74.5%
Common
ValueCountFrequency (%)
( 5872
22.1%
) 5872
22.1%
2 3353
12.6%
3 2742
10.3%
4 1933
 
7.3%
1 1861
 
7.0%
5 1369
 
5.1%
0 908
 
3.4%
7 838
 
3.1%
6 774
 
2.9%
Other values (2) 1082
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29035
52.2%
ASCII 26604
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 5872
22.1%
) 5872
22.1%
2 3353
12.6%
3 2742
10.3%
4 1933
 
7.3%
1 1861
 
7.0%
5 1369
 
5.1%
0 908
 
3.4%
7 838
 
3.1%
6 774
 
2.9%
Other values (2) 1082
 
4.1%
Hangul
ValueCountFrequency (%)
1196
 
4.1%
1085
 
3.7%
903
 
3.1%
890
 
3.1%
646
 
2.2%
556
 
1.9%
554
 
1.9%
545
 
1.9%
527
 
1.8%
504
 
1.7%
Other values (197) 21629
74.5%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5052 
하차
4948 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 5052
50.5%
하차 4948
49.5%

Length

2024-04-30T01:34:59.732453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:34:59.806883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5052
50.5%
하차 4948
49.5%

05~06
Text

Distinct738
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:00.152328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.2822
Min length2

Characters and Unicode

Total characters32822
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)2.4%

Sample

1st row108
2nd row6
3rd row38
4th row41
5th row168
ValueCountFrequency (%)
30 132
 
1.3%
28 132
 
1.3%
32 127
 
1.3%
19 126
 
1.3%
33 119
 
1.2%
24 118
 
1.2%
22 118
 
1.2%
20 112
 
1.1%
9 112
 
1.1%
29 110
 
1.1%
Other values (728) 8794
87.9%
2024-04-30T01:35:00.633455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
30.5%
1 4305
13.1%
2 3265
 
9.9%
3 2761
 
8.4%
4 2256
 
6.9%
5 2001
 
6.1%
6 1795
 
5.5%
7 1729
 
5.3%
8 1590
 
4.8%
9 1520
 
4.6%
Other values (2) 1600
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22732
69.3%
Space Separator 10000
30.5%
Other Punctuation 90
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4305
18.9%
2 3265
14.4%
3 2761
12.1%
4 2256
9.9%
5 2001
8.8%
6 1795
7.9%
7 1729
7.6%
8 1590
 
7.0%
9 1520
 
6.7%
0 1510
 
6.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32822
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
30.5%
1 4305
13.1%
2 3265
 
9.9%
3 2761
 
8.4%
4 2256
 
6.9%
5 2001
 
6.1%
6 1795
 
5.5%
7 1729
 
5.3%
8 1590
 
4.8%
9 1520
 
4.6%
Other values (2) 1600
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32822
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
30.5%
1 4305
13.1%
2 3265
 
9.9%
3 2761
 
8.4%
4 2256
 
6.9%
5 2001
 
6.1%
6 1795
 
5.5%
7 1729
 
5.3%
8 1590
 
4.8%
9 1520
 
4.6%
Other values (2) 1600
 
4.9%

06~07
Text

Distinct1406
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:01.010142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9011
Min length2

Characters and Unicode

Total characters39011
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique451 ?
Unique (%)4.5%

Sample

1st row221
2nd row27
3rd row200
4th row257
5th row348
ValueCountFrequency (%)
85 40
 
0.4%
130 38
 
0.4%
69 38
 
0.4%
115 37
 
0.4%
116 36
 
0.4%
56 36
 
0.4%
77 36
 
0.4%
71 36
 
0.4%
79 35
 
0.4%
133 35
 
0.4%
Other values (1396) 9633
96.3%
2024-04-30T01:35:01.539108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
25.6%
1 5032
12.9%
2 3796
 
9.7%
3 3221
 
8.3%
4 2645
 
6.8%
5 2612
 
6.7%
6 2515
 
6.4%
7 2286
 
5.9%
8 2210
 
5.7%
9 2088
 
5.4%
Other values (2) 2606
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28421
72.9%
Space Separator 10000
 
25.6%
Other Punctuation 590
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5032
17.7%
2 3796
13.4%
3 3221
11.3%
4 2645
9.3%
5 2612
9.2%
6 2515
8.8%
7 2286
8.0%
8 2210
7.8%
9 2088
7.3%
0 2016
7.1%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 590
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39011
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
25.6%
1 5032
12.9%
2 3796
 
9.7%
3 3221
 
8.3%
4 2645
 
6.8%
5 2612
 
6.7%
6 2515
 
6.4%
7 2286
 
5.9%
8 2210
 
5.7%
9 2088
 
5.4%
Other values (2) 2606
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
25.6%
1 5032
12.9%
2 3796
 
9.7%
3 3221
 
8.3%
4 2645
 
6.8%
5 2612
 
6.7%
6 2515
 
6.4%
7 2286
 
5.9%
8 2210
 
5.7%
9 2088
 
5.4%
Other values (2) 2606
 
6.7%

07~08
Text

Distinct2799
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:01.910081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.4534
Min length2

Characters and Unicode

Total characters44534
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1266 ?
Unique (%)12.7%

Sample

1st row320
2nd row39
3rd row380
4th row446
5th row451
ValueCountFrequency (%)
103 28
 
0.3%
180 23
 
0.2%
122 23
 
0.2%
97 23
 
0.2%
160 22
 
0.2%
118 22
 
0.2%
65 21
 
0.2%
202 21
 
0.2%
294 21
 
0.2%
153 20
 
0.2%
Other values (2789) 9776
97.8%
2024-04-30T01:35:02.377601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.5%
1 5298
11.9%
2 4351
9.8%
3 3430
 
7.7%
6 2992
 
6.7%
4 2967
 
6.7%
5 2896
 
6.5%
, 2796
 
6.3%
7 2510
 
5.6%
8 2510
 
5.6%
Other values (2) 4784
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31738
71.3%
Space Separator 10000
 
22.5%
Other Punctuation 2796
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5298
16.7%
2 4351
13.7%
3 3430
10.8%
6 2992
9.4%
4 2967
9.3%
5 2896
9.1%
7 2510
7.9%
8 2510
7.9%
9 2423
7.6%
0 2361
7.4%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2796
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44534
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.5%
1 5298
11.9%
2 4351
9.8%
3 3430
 
7.7%
6 2992
 
6.7%
4 2967
 
6.7%
5 2896
 
6.5%
, 2796
 
6.3%
7 2510
 
5.6%
8 2510
 
5.6%
Other values (2) 4784
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.5%
1 5298
11.9%
2 4351
9.8%
3 3430
 
7.7%
6 2992
 
6.7%
4 2967
 
6.7%
5 2896
 
6.5%
, 2796
 
6.3%
7 2510
 
5.6%
8 2510
 
5.6%
Other values (2) 4784
10.7%

08~09
Text

Distinct3776
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:02.733824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.9109
Min length2

Characters and Unicode

Total characters49109
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1824 ?
Unique (%)18.2%

Sample

1st row570
2nd row96
3rd row952
4th row1,508
5th row938
ValueCountFrequency (%)
234 17
 
0.2%
113 15
 
0.1%
375 15
 
0.1%
169 15
 
0.1%
138 15
 
0.1%
340 14
 
0.1%
118 14
 
0.1%
293 14
 
0.1%
309 13
 
0.1%
213 13
 
0.1%
Other values (3766) 9855
98.6%
2024-04-30T01:35:03.188223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.4%
1 5957
12.1%
, 4717
9.6%
2 4126
8.4%
3 3788
 
7.7%
4 3361
 
6.8%
6 3100
 
6.3%
5 3058
 
6.2%
7 2943
 
6.0%
9 2804
 
5.7%
Other values (2) 5255
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34392
70.0%
Space Separator 10000
 
20.4%
Other Punctuation 4717
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5957
17.3%
2 4126
12.0%
3 3788
11.0%
4 3361
9.8%
6 3100
9.0%
5 3058
8.9%
7 2943
8.6%
9 2804
8.2%
0 2634
7.7%
8 2621
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4717
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49109
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.4%
1 5957
12.1%
, 4717
9.6%
2 4126
8.4%
3 3788
 
7.7%
4 3361
 
6.8%
6 3100
 
6.3%
5 3058
 
6.2%
7 2943
 
6.0%
9 2804
 
5.7%
Other values (2) 5255
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.4%
1 5957
12.1%
, 4717
9.6%
2 4126
8.4%
3 3788
 
7.7%
4 3361
 
6.8%
6 3100
 
6.3%
5 3058
 
6.2%
7 2943
 
6.0%
9 2804
 
5.7%
Other values (2) 5255
10.7%

09~10
Text

Distinct2855
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:03.550815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.5855
Min length2

Characters and Unicode

Total characters45855
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1177 ?
Unique (%)11.8%

Sample

1st row622
2nd row64
3rd row575
4th row1,179
5th row1,313
ValueCountFrequency (%)
343 22
 
0.2%
336 20
 
0.2%
441 18
 
0.2%
545 17
 
0.2%
216 17
 
0.2%
270 16
 
0.2%
232 16
 
0.2%
279 16
 
0.2%
183 16
 
0.2%
356 15
 
0.1%
Other values (2845) 9827
98.3%
2024-04-30T01:35:04.032382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.8%
1 5229
11.4%
2 3927
 
8.6%
3 3560
 
7.8%
4 3239
 
7.1%
5 3183
 
6.9%
, 3137
 
6.8%
6 2882
 
6.3%
7 2844
 
6.2%
8 2703
 
5.9%
Other values (2) 5151
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32718
71.4%
Space Separator 10000
 
21.8%
Other Punctuation 3137
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5229
16.0%
2 3927
12.0%
3 3560
10.9%
4 3239
9.9%
5 3183
9.7%
6 2882
8.8%
7 2844
8.7%
8 2703
8.3%
9 2660
8.1%
0 2491
7.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45855
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.8%
1 5229
11.4%
2 3927
 
8.6%
3 3560
 
7.8%
4 3239
 
7.1%
5 3183
 
6.9%
, 3137
 
6.8%
6 2882
 
6.3%
7 2844
 
6.2%
8 2703
 
5.9%
Other values (2) 5151
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45855
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.8%
1 5229
11.4%
2 3927
 
8.6%
3 3560
 
7.8%
4 3239
 
7.1%
5 3183
 
6.9%
, 3137
 
6.8%
6 2882
 
6.3%
7 2844
 
6.2%
8 2703
 
5.9%
Other values (2) 5151
11.2%

10~11
Text

Distinct2211
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:04.400781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3565
Min length2

Characters and Unicode

Total characters43565
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique776 ?
Unique (%)7.8%

Sample

1st row535
2nd row55
3rd row566
4th row672
5th row1,532
ValueCountFrequency (%)
200 25
 
0.2%
224 24
 
0.2%
310 22
 
0.2%
205 22
 
0.2%
218 22
 
0.2%
217 21
 
0.2%
386 21
 
0.2%
234 21
 
0.2%
256 20
 
0.2%
195 20
 
0.2%
Other values (2201) 9782
97.8%
2024-04-30T01:35:04.929830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.0%
1 4808
11.0%
2 4000
 
9.2%
3 3496
 
8.0%
4 3336
 
7.7%
5 3008
 
6.9%
6 2913
 
6.7%
7 2694
 
6.2%
8 2553
 
5.9%
0 2364
 
5.4%
Other values (2) 4393
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31531
72.4%
Space Separator 10000
 
23.0%
Other Punctuation 2034
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4808
15.2%
2 4000
12.7%
3 3496
11.1%
4 3336
10.6%
5 3008
9.5%
6 2913
9.2%
7 2694
8.5%
8 2553
8.1%
0 2364
7.5%
9 2359
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2034
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.0%
1 4808
11.0%
2 4000
 
9.2%
3 3496
 
8.0%
4 3336
 
7.7%
5 3008
 
6.9%
6 2913
 
6.7%
7 2694
 
6.2%
8 2553
 
5.9%
0 2364
 
5.4%
Other values (2) 4393
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.0%
1 4808
11.0%
2 4000
 
9.2%
3 3496
 
8.0%
4 3336
 
7.7%
5 3008
 
6.9%
6 2913
 
6.7%
7 2694
 
6.2%
8 2553
 
5.9%
0 2364
 
5.4%
Other values (2) 4393
10.1%

11~12
Text

Distinct2204
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:05.306247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.353
Min length2

Characters and Unicode

Total characters43530
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique805 ?
Unique (%)8.1%

Sample

1st row533
2nd row71
3rd row544
4th row503
5th row1,503
ValueCountFrequency (%)
212 25
 
0.2%
318 23
 
0.2%
378 21
 
0.2%
195 21
 
0.2%
291 21
 
0.2%
308 21
 
0.2%
339 21
 
0.2%
171 21
 
0.2%
367 20
 
0.2%
201 20
 
0.2%
Other values (2194) 9786
97.9%
2024-04-30T01:35:05.800792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.0%
1 4910
11.3%
2 3887
 
8.9%
3 3641
 
8.4%
4 3188
 
7.3%
5 2986
 
6.9%
6 2899
 
6.7%
7 2678
 
6.2%
8 2544
 
5.8%
0 2416
 
5.6%
Other values (2) 4381
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31522
72.4%
Space Separator 10000
 
23.0%
Other Punctuation 2008
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4910
15.6%
2 3887
12.3%
3 3641
11.6%
4 3188
10.1%
5 2986
9.5%
6 2899
9.2%
7 2678
8.5%
8 2544
8.1%
0 2416
7.7%
9 2373
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.0%
1 4910
11.3%
2 3887
 
8.9%
3 3641
 
8.4%
4 3188
 
7.3%
5 2986
 
6.9%
6 2899
 
6.7%
7 2678
 
6.2%
8 2544
 
5.8%
0 2416
 
5.6%
Other values (2) 4381
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.0%
1 4910
11.3%
2 3887
 
8.9%
3 3641
 
8.4%
4 3188
 
7.3%
5 2986
 
6.9%
6 2899
 
6.7%
7 2678
 
6.2%
8 2544
 
5.8%
0 2416
 
5.6%
Other values (2) 4381
10.1%

12~13
Text

Distinct2309
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:06.188709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4035
Min length2

Characters and Unicode

Total characters44035
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique836 ?
Unique (%)8.4%

Sample

1st row587
2nd row58
3rd row585
4th row478
5th row1,583
ValueCountFrequency (%)
343 22
 
0.2%
460 20
 
0.2%
289 20
 
0.2%
397 20
 
0.2%
392 19
 
0.2%
266 19
 
0.2%
546 18
 
0.2%
252 18
 
0.2%
416 18
 
0.2%
335 18
 
0.2%
Other values (2299) 9808
98.1%
2024-04-30T01:35:06.720710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.7%
1 4744
10.8%
2 3927
 
8.9%
3 3546
 
8.1%
4 3337
 
7.6%
5 3157
 
7.2%
6 2861
 
6.5%
7 2670
 
6.1%
8 2550
 
5.8%
9 2546
 
5.8%
Other values (2) 4697
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31812
72.2%
Space Separator 10000
 
22.7%
Other Punctuation 2223
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4744
14.9%
2 3927
12.3%
3 3546
11.1%
4 3337
10.5%
5 3157
9.9%
6 2861
9.0%
7 2670
8.4%
8 2550
8.0%
9 2546
8.0%
0 2474
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.7%
1 4744
10.8%
2 3927
 
8.9%
3 3546
 
8.1%
4 3337
 
7.6%
5 3157
 
7.2%
6 2861
 
6.5%
7 2670
 
6.1%
8 2550
 
5.8%
9 2546
 
5.8%
Other values (2) 4697
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.7%
1 4744
10.8%
2 3927
 
8.9%
3 3546
 
8.1%
4 3337
 
7.6%
5 3157
 
7.2%
6 2861
 
6.5%
7 2670
 
6.1%
8 2550
 
5.8%
9 2546
 
5.8%
Other values (2) 4697
10.7%

13~14
Text

Distinct2440
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:07.094592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4888
Min length2

Characters and Unicode

Total characters44888
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique878 ?
Unique (%)8.8%

Sample

1st row504
2nd row90
3rd row655
4th row441
5th row1,754
ValueCountFrequency (%)
484 23
 
0.2%
277 21
 
0.2%
326 19
 
0.2%
250 19
 
0.2%
217 19
 
0.2%
489 19
 
0.2%
419 18
 
0.2%
386 18
 
0.2%
517 18
 
0.2%
379 18
 
0.2%
Other values (2430) 9808
98.1%
2024-04-30T01:35:07.622891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.3%
1 4985
11.1%
2 3917
 
8.7%
3 3552
 
7.9%
4 3471
 
7.7%
5 3095
 
6.9%
6 2801
 
6.2%
7 2738
 
6.1%
8 2637
 
5.9%
, 2614
 
5.8%
Other values (2) 5078
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32274
71.9%
Space Separator 10000
 
22.3%
Other Punctuation 2614
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4985
15.4%
2 3917
12.1%
3 3552
11.0%
4 3471
10.8%
5 3095
9.6%
6 2801
8.7%
7 2738
8.5%
8 2637
8.2%
9 2597
8.0%
0 2481
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2614
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44888
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.3%
1 4985
11.1%
2 3917
 
8.7%
3 3552
 
7.9%
4 3471
 
7.7%
5 3095
 
6.9%
6 2801
 
6.2%
7 2738
 
6.1%
8 2637
 
5.9%
, 2614
 
5.8%
Other values (2) 5078
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.3%
1 4985
11.1%
2 3917
 
8.7%
3 3552
 
7.9%
4 3471
 
7.7%
5 3095
 
6.9%
6 2801
 
6.2%
7 2738
 
6.1%
8 2637
 
5.9%
, 2614
 
5.8%
Other values (2) 5078
11.3%

14~15
Text

Distinct2474
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:08.196730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4904
Min length2

Characters and Unicode

Total characters44904
Distinct characters12
Distinct 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 row472
2nd row73
3rd row659
4th row464
5th row1,530
ValueCountFrequency (%)
311 24
 
0.2%
418 22
 
0.2%
407 21
 
0.2%
460 20
 
0.2%
293 19
 
0.2%
252 19
 
0.2%
528 19
 
0.2%
241 19
 
0.2%
308 19
 
0.2%
450 18
 
0.2%
Other values (2464) 9800
98.0%
2024-04-30T01:35:08.739156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.3%
1 4858
10.8%
2 3945
 
8.8%
3 3617
 
8.1%
4 3329
 
7.4%
5 3111
 
6.9%
6 2929
 
6.5%
7 2699
 
6.0%
8 2665
 
5.9%
, 2633
 
5.9%
Other values (2) 5118
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32271
71.9%
Space Separator 10000
 
22.3%
Other Punctuation 2633
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4858
15.1%
2 3945
12.2%
3 3617
11.2%
4 3329
10.3%
5 3111
9.6%
6 2929
9.1%
7 2699
8.4%
8 2665
8.3%
0 2571
8.0%
9 2547
7.9%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2633
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44904
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.3%
1 4858
10.8%
2 3945
 
8.8%
3 3617
 
8.1%
4 3329
 
7.4%
5 3111
 
6.9%
6 2929
 
6.5%
7 2699
 
6.0%
8 2665
 
5.9%
, 2633
 
5.9%
Other values (2) 5118
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.3%
1 4858
10.8%
2 3945
 
8.8%
3 3617
 
8.1%
4 3329
 
7.4%
5 3111
 
6.9%
6 2929
 
6.5%
7 2699
 
6.0%
8 2665
 
5.9%
, 2633
 
5.9%
Other values (2) 5118
11.4%

15~16
Text

Distinct2548
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:09.084870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.519
Min length2

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

Unique984 ?
Unique (%)9.8%

Sample

1st row348
2nd row118
3rd row826
4th row257
5th row1,560
ValueCountFrequency (%)
267 21
 
0.2%
470 20
 
0.2%
434 19
 
0.2%
439 19
 
0.2%
279 19
 
0.2%
554 18
 
0.2%
468 18
 
0.2%
390 17
 
0.2%
266 17
 
0.2%
448 17
 
0.2%
Other values (2538) 9815
98.2%
2024-04-30T01:35:09.575198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.1%
1 4905
10.9%
2 3952
 
8.7%
3 3644
 
8.1%
4 3396
 
7.5%
5 3154
 
7.0%
6 3018
 
6.7%
, 2753
 
6.1%
7 2704
 
6.0%
9 2593
 
5.7%
Other values (2) 5071
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32437
71.8%
Space Separator 10000
 
22.1%
Other Punctuation 2753
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4905
15.1%
2 3952
12.2%
3 3644
11.2%
4 3396
10.5%
5 3154
9.7%
6 3018
9.3%
7 2704
8.3%
9 2593
8.0%
8 2577
7.9%
0 2494
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2753
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.1%
1 4905
10.9%
2 3952
 
8.7%
3 3644
 
8.1%
4 3396
 
7.5%
5 3154
 
7.0%
6 3018
 
6.7%
, 2753
 
6.1%
7 2704
 
6.0%
9 2593
 
5.7%
Other values (2) 5071
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.1%
1 4905
10.9%
2 3952
 
8.7%
3 3644
 
8.1%
4 3396
 
7.5%
5 3154
 
7.0%
6 3018
 
6.7%
, 2753
 
6.1%
7 2704
 
6.0%
9 2593
 
5.7%
Other values (2) 5071
11.2%

16~17
Text

Distinct2615
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:09.941178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5523
Min length2

Characters and Unicode

Total characters45523
Distinct characters12
Distinct 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 row418
2nd row182
3rd row985
4th row300
5th row1,389
ValueCountFrequency (%)
546 20
 
0.2%
175 19
 
0.2%
355 18
 
0.2%
372 17
 
0.2%
480 17
 
0.2%
618 17
 
0.2%
307 17
 
0.2%
300 17
 
0.2%
532 17
 
0.2%
437 16
 
0.2%
Other values (2605) 9825
98.2%
2024-04-30T01:35:10.449672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.0%
1 4948
10.9%
2 3794
 
8.3%
3 3613
 
7.9%
4 3399
 
7.5%
5 3258
 
7.2%
6 3051
 
6.7%
, 2905
 
6.4%
7 2825
 
6.2%
8 2685
 
5.9%
Other values (2) 5045
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32618
71.7%
Space Separator 10000
 
22.0%
Other Punctuation 2905
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4948
15.2%
2 3794
11.6%
3 3613
11.1%
4 3399
10.4%
5 3258
10.0%
6 3051
9.4%
7 2825
8.7%
8 2685
8.2%
9 2584
7.9%
0 2461
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45523
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.0%
1 4948
10.9%
2 3794
 
8.3%
3 3613
 
7.9%
4 3399
 
7.5%
5 3258
 
7.2%
6 3051
 
6.7%
, 2905
 
6.4%
7 2825
 
6.2%
8 2685
 
5.9%
Other values (2) 5045
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.0%
1 4948
10.9%
2 3794
 
8.3%
3 3613
 
7.9%
4 3399
 
7.5%
5 3258
 
7.2%
6 3051
 
6.7%
, 2905
 
6.4%
7 2825
 
6.2%
8 2685
 
5.9%
Other values (2) 5045
11.1%

17~18
Text

Distinct2895
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:10.848716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.6737
Min length2

Characters and Unicode

Total characters46737
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1146 ?
Unique (%)11.5%

Sample

1st row422
2nd row174
3rd row1,166
4th row312
5th row1,271
ValueCountFrequency (%)
439 19
 
0.2%
443 19
 
0.2%
429 17
 
0.2%
469 17
 
0.2%
699 17
 
0.2%
504 16
 
0.2%
526 16
 
0.2%
422 16
 
0.2%
942 16
 
0.2%
410 16
 
0.2%
Other values (2885) 9831
98.3%
2024-04-30T01:35:11.306752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.4%
1 5303
11.3%
2 3692
 
7.9%
4 3547
 
7.6%
, 3489
 
7.5%
3 3425
 
7.3%
5 3225
 
6.9%
6 3033
 
6.5%
7 2947
 
6.3%
8 2753
 
5.9%
Other values (2) 5323
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33248
71.1%
Space Separator 10000
 
21.4%
Other Punctuation 3489
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5303
15.9%
2 3692
11.1%
4 3547
10.7%
3 3425
10.3%
5 3225
9.7%
6 3033
9.1%
7 2947
8.9%
8 2753
8.3%
9 2736
8.2%
0 2587
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3489
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46737
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.4%
1 5303
11.3%
2 3692
 
7.9%
4 3547
 
7.6%
, 3489
 
7.5%
3 3425
 
7.3%
5 3225
 
6.9%
6 3033
 
6.5%
7 2947
 
6.3%
8 2753
 
5.9%
Other values (2) 5323
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.4%
1 5303
11.3%
2 3692
 
7.9%
4 3547
 
7.6%
, 3489
 
7.5%
3 3425
 
7.3%
5 3225
 
6.9%
6 3033
 
6.5%
7 2947
 
6.3%
8 2753
 
5.9%
Other values (2) 5323
11.4%

18~19
Text

Distinct3573
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:11.678475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.9598
Min length2

Characters and Unicode

Total characters49598
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1594 ?
Unique (%)15.9%

Sample

1st row301
2nd row375
3rd row2,143
4th row546
5th row1,065
ValueCountFrequency (%)
504 15
 
0.1%
556 13
 
0.1%
602 13
 
0.1%
483 13
 
0.1%
422 13
 
0.1%
694 13
 
0.1%
439 12
 
0.1%
549 12
 
0.1%
487 12
 
0.1%
261 12
 
0.1%
Other values (3563) 9872
98.7%
2024-04-30T01:35:12.156643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.2%
1 6002
12.1%
, 4876
9.8%
2 3912
 
7.9%
3 3478
 
7.0%
4 3445
 
6.9%
6 3224
 
6.5%
5 3221
 
6.5%
7 2970
 
6.0%
9 2899
 
5.8%
Other values (2) 5571
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34722
70.0%
Space Separator 10000
 
20.2%
Other Punctuation 4876
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6002
17.3%
2 3912
11.3%
3 3478
10.0%
4 3445
9.9%
6 3224
9.3%
5 3221
9.3%
7 2970
8.6%
9 2899
8.3%
0 2846
8.2%
8 2725
7.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
20.2%
1 6002
12.1%
, 4876
9.8%
2 3912
 
7.9%
3 3478
 
7.0%
4 3445
 
6.9%
6 3224
 
6.5%
5 3221
 
6.5%
7 2970
 
6.0%
9 2899
 
5.8%
Other values (2) 5571
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
20.2%
1 6002
12.1%
, 4876
9.8%
2 3912
 
7.9%
3 3478
 
7.0%
4 3445
 
6.9%
6 3224
 
6.5%
5 3221
 
6.5%
7 2970
 
6.0%
9 2899
 
5.8%
Other values (2) 5571
11.2%

19~20
Text

Distinct3267
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:12.508728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.7544
Min length2

Characters and Unicode

Total characters47544
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1426 ?
Unique (%)14.3%

Sample

1st row161
2nd row356
3rd row2,638
4th row911
5th row1,003
ValueCountFrequency (%)
301 18
 
0.2%
299 17
 
0.2%
348 15
 
0.1%
611 14
 
0.1%
379 14
 
0.1%
380 14
 
0.1%
343 14
 
0.1%
359 14
 
0.1%
242 14
 
0.1%
342 14
 
0.1%
Other values (3257) 9852
98.5%
2024-04-30T01:35:12.959759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
21.0%
1 5503
11.6%
2 4005
8.4%
, 3959
 
8.3%
3 3684
 
7.7%
4 3423
 
7.2%
5 3186
 
6.7%
6 2979
 
6.3%
7 2816
 
5.9%
8 2780
 
5.8%
Other values (2) 5209
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33585
70.6%
Space Separator 10000
 
21.0%
Other Punctuation 3959
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5503
16.4%
2 4005
11.9%
3 3684
11.0%
4 3423
10.2%
5 3186
9.5%
6 2979
8.9%
7 2816
8.4%
8 2780
8.3%
0 2609
7.8%
9 2600
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3959
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47544
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
21.0%
1 5503
11.6%
2 4005
8.4%
, 3959
 
8.3%
3 3684
 
7.7%
4 3423
 
7.2%
5 3186
 
6.7%
6 2979
 
6.3%
7 2816
 
5.9%
8 2780
 
5.8%
Other values (2) 5209
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47544
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
21.0%
1 5503
11.6%
2 4005
8.4%
, 3959
 
8.3%
3 3684
 
7.7%
4 3423
 
7.2%
5 3186
 
6.7%
6 2979
 
6.3%
7 2816
 
5.9%
8 2780
 
5.8%
Other values (2) 5209
11.0%

20~21
Text

Distinct2555
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:13.332919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.4511
Min length2

Characters and Unicode

Total characters44511
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1041 ?
Unique (%)10.4%

Sample

1st row127
2nd row210
3rd row1,595
4th row420
5th row987
ValueCountFrequency (%)
281 21
 
0.2%
205 19
 
0.2%
384 19
 
0.2%
196 19
 
0.2%
164 18
 
0.2%
246 18
 
0.2%
160 18
 
0.2%
148 18
 
0.2%
261 18
 
0.2%
233 18
 
0.2%
Other values (2545) 9814
98.1%
2024-04-30T01:35:13.827243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.5%
1 5059
11.4%
2 3985
 
9.0%
3 3558
 
8.0%
4 3265
 
7.3%
6 2930
 
6.6%
5 2917
 
6.6%
7 2730
 
6.1%
8 2634
 
5.9%
, 2555
 
5.7%
Other values (2) 4878
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31956
71.8%
Space Separator 10000
 
22.5%
Other Punctuation 2555
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5059
15.8%
2 3985
12.5%
3 3558
11.1%
4 3265
10.2%
6 2930
9.2%
5 2917
9.1%
7 2730
8.5%
8 2634
8.2%
9 2501
7.8%
0 2377
7.4%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44511
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.5%
1 5059
11.4%
2 3985
 
9.0%
3 3558
 
8.0%
4 3265
 
7.3%
6 2930
 
6.6%
5 2917
 
6.6%
7 2730
 
6.1%
8 2634
 
5.9%
, 2555
 
5.7%
Other values (2) 4878
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.5%
1 5059
11.4%
2 3985
 
9.0%
3 3558
 
8.0%
4 3265
 
7.3%
6 2930
 
6.6%
5 2917
 
6.6%
7 2730
 
6.1%
8 2634
 
5.9%
, 2555
 
5.7%
Other values (2) 4878
11.0%

21~22
Text

Distinct2421
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:14.199049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.377
Min length2

Characters and Unicode

Total characters43770
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique978 ?
Unique (%)9.8%

Sample

1st row113
2nd row219
3rd row1,444
4th row234
5th row920
ValueCountFrequency (%)
180 23
 
0.2%
187 21
 
0.2%
226 21
 
0.2%
246 20
 
0.2%
290 20
 
0.2%
400 20
 
0.2%
233 20
 
0.2%
194 20
 
0.2%
392 20
 
0.2%
160 19
 
0.2%
Other values (2411) 9796
98.0%
2024-04-30T01:35:14.680580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
22.8%
1 4946
11.3%
2 3958
 
9.0%
3 3524
 
8.1%
4 3226
 
7.4%
5 2956
 
6.8%
6 2955
 
6.8%
7 2598
 
5.9%
9 2471
 
5.6%
8 2461
 
5.6%
Other values (2) 4675
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31537
72.1%
Space Separator 10000
 
22.8%
Other Punctuation 2233
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4946
15.7%
2 3958
12.6%
3 3524
11.2%
4 3226
10.2%
5 2956
9.4%
6 2955
9.4%
7 2598
8.2%
9 2471
7.8%
8 2461
7.8%
0 2442
7.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
22.8%
1 4946
11.3%
2 3958
 
9.0%
3 3524
 
8.1%
4 3226
 
7.4%
5 2956
 
6.8%
6 2955
 
6.8%
7 2598
 
5.9%
9 2471
 
5.6%
8 2461
 
5.6%
Other values (2) 4675
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
22.8%
1 4946
11.3%
2 3958
 
9.0%
3 3524
 
8.1%
4 3226
 
7.4%
5 2956
 
6.8%
6 2955
 
6.8%
7 2598
 
5.9%
9 2471
 
5.6%
8 2461
 
5.6%
Other values (2) 4675
10.7%

22~23
Text

Distinct2296
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:15.038450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.2947
Min length2

Characters and Unicode

Total characters42947
Distinct characters12
Distinct 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 row86
2nd row220
3rd row1,209
4th row219
5th row812
ValueCountFrequency (%)
222 24
 
0.2%
212 23
 
0.2%
161 22
 
0.2%
220 22
 
0.2%
102 22
 
0.2%
145 21
 
0.2%
243 21
 
0.2%
246 21
 
0.2%
160 21
 
0.2%
125 20
 
0.2%
Other values (2286) 9783
97.8%
2024-04-30T01:35:15.517171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
23.3%
1 4946
11.5%
2 3990
 
9.3%
3 3462
 
8.1%
4 3099
 
7.2%
5 2983
 
6.9%
6 2726
 
6.3%
7 2542
 
5.9%
8 2470
 
5.8%
9 2438
 
5.7%
Other values (2) 4291
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30978
72.1%
Space Separator 10000
 
23.3%
Other Punctuation 1969
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4946
16.0%
2 3990
12.9%
3 3462
11.2%
4 3099
10.0%
5 2983
9.6%
6 2726
8.8%
7 2542
8.2%
8 2470
8.0%
9 2438
7.9%
0 2322
7.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1969
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42947
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
23.3%
1 4946
11.5%
2 3990
 
9.3%
3 3462
 
8.1%
4 3099
 
7.2%
5 2983
 
6.9%
6 2726
 
6.3%
7 2542
 
5.9%
8 2470
 
5.8%
9 2438
 
5.7%
Other values (2) 4291
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
23.3%
1 4946
11.5%
2 3990
 
9.3%
3 3462
 
8.1%
4 3099
 
7.2%
5 2983
 
6.9%
6 2726
 
6.3%
7 2542
 
5.9%
8 2470
 
5.8%
9 2438
 
5.7%
Other values (2) 4291
10.0%

23~24
Text

Distinct1667
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:15.885089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9385
Min length2

Characters and Unicode

Total characters39385
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique656 ?
Unique (%)6.6%

Sample

1st row31
2nd row130
3rd row714
4th row392
5th row296
ValueCountFrequency (%)
66 40
 
0.4%
88 37
 
0.4%
86 37
 
0.4%
76 35
 
0.4%
72 35
 
0.4%
68 35
 
0.4%
109 35
 
0.4%
77 35
 
0.4%
112 34
 
0.3%
85 34
 
0.3%
Other values (1657) 9643
96.4%
2024-04-30T01:35:16.405432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
25.4%
1 4874
12.4%
2 3677
 
9.3%
3 3154
 
8.0%
4 2787
 
7.1%
5 2662
 
6.8%
6 2545
 
6.5%
7 2311
 
5.9%
8 2226
 
5.7%
9 2127
 
5.4%
Other values (2) 3022
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28455
72.2%
Space Separator 10000
 
25.4%
Other Punctuation 930
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4874
17.1%
2 3677
12.9%
3 3154
11.1%
4 2787
9.8%
5 2662
9.4%
6 2545
8.9%
7 2311
8.1%
8 2226
7.8%
9 2127
7.5%
0 2092
7.4%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
25.4%
1 4874
12.4%
2 3677
 
9.3%
3 3154
 
8.0%
4 2787
 
7.1%
5 2662
 
6.8%
6 2545
 
6.5%
7 2311
 
5.9%
8 2226
 
5.7%
9 2127
 
5.4%
Other values (2) 3022
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
25.4%
1 4874
12.4%
2 3677
 
9.3%
3 3154
 
8.0%
4 2787
 
7.1%
5 2662
 
6.8%
6 2545
 
6.5%
7 2311
 
5.9%
8 2226
 
5.7%
9 2127
 
5.4%
Other values (2) 3022
 
7.7%

24~
Text

Distinct744
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:35:16.726901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.1311
Min length2

Characters and Unicode

Total characters31311
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique249 ?
Unique (%)2.5%

Sample

1st row0
2nd row45
3rd row287
4th row100
5th row0
ValueCountFrequency (%)
0 1106
 
11.1%
1 299
 
3.0%
2 181
 
1.8%
15 128
 
1.3%
11 116
 
1.2%
7 109
 
1.1%
19 107
 
1.1%
18 106
 
1.1%
10 105
 
1.1%
9 103
 
1.0%
Other values (734) 7640
76.4%
2024-04-30T01:35:17.167448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
31.9%
1 4373
14.0%
2 2963
 
9.5%
0 2356
 
7.5%
3 2164
 
6.9%
4 1955
 
6.2%
5 1670
 
5.3%
8 1482
 
4.7%
6 1469
 
4.7%
7 1468
 
4.7%
Other values (2) 1411
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21235
67.8%
Space Separator 10000
31.9%
Other Punctuation 76
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4373
20.6%
2 2963
14.0%
0 2356
11.1%
3 2164
10.2%
4 1955
9.2%
5 1670
 
7.9%
8 1482
 
7.0%
6 1469
 
6.9%
7 1468
 
6.9%
9 1335
 
6.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
31.9%
1 4373
14.0%
2 2963
 
9.5%
0 2356
 
7.5%
3 2164
 
6.9%
4 1955
 
6.2%
5 1670
 
5.3%
8 1482
 
4.7%
6 1469
 
4.7%
7 1468
 
4.7%
Other values (2) 1411
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
31.9%
1 4373
14.0%
2 2963
 
9.5%
0 2356
 
7.5%
3 2164
 
6.9%
4 1955
 
6.2%
5 1670
 
5.3%
8 1482
 
4.7%
6 1469
 
4.7%
7 1468
 
4.7%
Other values (2) 1411
 
4.5%

Sample

날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
61642013-01-12248양천구청(248)승차10822132057062253553358750447234841842230116112711386310
6572013-01-02244용답(244)하차627399664557158907311818217437535621021922013045
37412013-01-072724사가정하차382003809525755665445856556598269851,1662,1432,6381,5951,4441,209714287
124892013-01-232636신당(6)하차412574461,5081,179672503478441464257300312546911420234219392100
68342013-01-13433사당(433)승차1683484519381,3131,5321,5031,5831,7541,5301,5601,3891,2711,0651,0039879208122960
245702013-02-142627공덕(6)승차1652948591,2717746996826657589269569401,3613,3522,2401,4371,320983480103
26142013-01-052711장암승차134083130103989177909187106103755620152320
115132013-01-212760굴포천하차93316030018618013820321120823026441566276174855941126589
93782013-01-18205동대문역사문화공원(205)승차3392812994114174695127067608601,0491,2851,5432,0191,6641,081906946808168
159012013-01-292754부천종합운동장하차19491463641191171109611213314618327145951635028033220787
날짜역번호역명구분05~0606~0707~0808~0909~1010~1111~1212~1313~1414~1515~1616~1717~1818~1919~2020~2121~2222~2323~2424~
35652013-01-072524영등포구청(5)하차13592098354402561862232122171881991652822361281351267211
162702013-01-302552명일승차1585951,9241,7187986084845325224284354535795493392902992266515
97482013-01-182641고려대승차1122491,0881,4526224143804833884144626158281,11058936041738319626
122862013-01-23409당고개(409)승차3416542,2152,1491,2407336216565724775134746426094422591901527514
105512013-01-20241이대(241)하차211851452856008721,0361,1611,4591,2601,3671,2891,3581,08586165170162339838
237472013-02-13239홍대입구(239)하차1024931,4985,5514,2542,8633,2453,5814,2784,2564,5024,7235,9027,9838,5184,2752,8492,9741,913816
11792013-01-03230신림(230)하차1366371,2212,9212,2781,6631,7372,1982,1962,4933,0093,8354,2889,20311,2036,4986,2696,3024,1691,471
73242013-01-14337대청(337)승차1445891,5751,8598445646026006005176355968681,31161448842125311920
8122013-01-022523양평(5)승차1062568068253492471981982402342802864181,3926213993091758911
161512013-01-30416미아삼거리(416)하차893518361,5931,7441,0261,1951,2361,4821,6681,8022,0472,6054,6285,5743,2562,5502,7841,757437