Overview

Dataset statistics

Number of variables7
Number of observations288
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.7 KiB
Average record size in memory59.5 B

Variable types

Numeric3
Text4

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-12035/S/1/datasetView.do

Alerts

연번 is highly overall correlated with 역번호 and 1 other fieldsHigh correlation
역번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
호선 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
역번호 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2024-04-29 15:55:57.233612
Analysis finished2024-04-29 15:55:59.749232
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.5
Minimum1
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-30T00:55:59.813823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.35
Q172.75
median144.5
Q3216.25
95-th percentile273.65
Maximum288
Range287
Interquartile range (IQR)143.5

Descriptive statistics

Standard deviation83.282651
Coefficient of variation (CV)0.57635053
Kurtosis-1.2
Mean144.5
Median Absolute Deviation (MAD)72
Skewness0
Sum41616
Variance6936
MonotonicityStrictly increasing
2024-04-30T00:55:59.930962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
146 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
Other values (278) 278
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%
279 1
0.3%

역번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1731.8125
Minimum150
Maximum4138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-30T00:56:00.060512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile205.35
Q1320.75
median2534.5
Q32711.25
95-th percentile2826.65
Maximum4138
Range3988
Interquartile range (IQR)2390.5

Descriptive statistics

Standard deviation1260.9341
Coefficient of variation (CV)0.72810084
Kurtosis-1.5158867
Mean1731.8125
Median Absolute Deviation (MAD)283
Skewness-0.10614562
Sum498762
Variance1589954.9
MonotonicityNot monotonic
2024-04-30T00:56:00.197354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 1
 
0.3%
2536 1
 
0.3%
2632 1
 
0.3%
2631 1
 
0.3%
2630 1
 
0.3%
2629 1
 
0.3%
2628 1
 
0.3%
2627 1
 
0.3%
2626 1
 
0.3%
2625 1
 
0.3%
Other values (278) 278
96.5%
ValueCountFrequency (%)
150 1
0.3%
151 1
0.3%
152 1
0.3%
153 1
0.3%
154 1
0.3%
155 1
0.3%
156 1
0.3%
157 1
0.3%
158 1
0.3%
159 1
0.3%
ValueCountFrequency (%)
4138 1
0.3%
4137 1
0.3%
4136 1
0.3%
4135 1
0.3%
4134 1
0.3%
4133 1
0.3%
4132 1
0.3%
4131 1
0.3%
4130 1
0.3%
4129 1
0.3%

호선
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8090278
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-30T00:56:00.300129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1595719
Coefficient of variation (CV)0.44906622
Kurtosis-0.98417794
Mean4.8090278
Median Absolute Deviation (MAD)2
Skewness0.060565223
Sum1385
Variance4.663751
MonotonicityIncreasing
2024-04-30T00:56:00.393443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 56
19.4%
2 50
17.4%
7 42
14.6%
6 39
13.5%
3 34
11.8%
4 26
9.0%
8 18
 
6.2%
9 13
 
4.5%
1 10
 
3.5%
ValueCountFrequency (%)
1 10
 
3.5%
2 50
17.4%
3 34
11.8%
4 26
9.0%
5 56
19.4%
6 39
13.5%
7 42
14.6%
8 18
 
6.2%
9 13
 
4.5%
ValueCountFrequency (%)
9 13
 
4.5%
8 18
 
6.2%
7 42
14.6%
6 39
13.5%
5 56
19.4%
4 26
9.0%
3 34
11.8%
2 50
17.4%
1 10
 
3.5%

역명
Text

Distinct251
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-30T00:56:00.647401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.4479167
Min length2

Characters and Unicode

Total characters1281
Distinct characters247
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)74.7%

Sample

1st row서울
2nd row시청
3rd row종각
4th row종로3가
5th row종로5가
ValueCountFrequency (%)
동대문역사문화공원(ddp 3
 
1.0%
검찰청 3
 
1.0%
대림(구로구청 2
 
0.7%
종합운동장 2
 
0.7%
삼각지 2
 
0.7%
사당 2
 
0.7%
석촌 2
 
0.7%
영등포구청 2
 
0.7%
합정 2
 
0.7%
충정로(경기대입구 2
 
0.7%
Other values (243) 270
92.5%
2024-04-30T00:56:00.995912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 67
 
5.2%
( 67
 
5.2%
대 50
 
3.9%
구 49
 
3.8%
동 33
 
2.6%
청 30
 
2.3%
신 27
 
2.1%
원 26
 
2.0%
산 21
 
1.6%
문 20
 
1.6%
Other values (237) 891
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1123
87.7%
Close Punctuation 67
 
5.2%
Open Punctuation 67
 
5.2%
Uppercase Letter 9
 
0.7%
Decimal Number 8
 
0.6%
Space Separator 5
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 50
 
4.5%
구 49
 
4.4%
동 33
 
2.9%
청 30
 
2.7%
신 27
 
2.4%
원 26
 
2.3%
산 21
 
1.9%
문 20
 
1.8%
입 19
 
1.7%
성 18
 
1.6%
Other values (228) 830
73.9%
Decimal Number
ValueCountFrequency (%)
3 5
62.5%
4 2
 
25.0%
5 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
D 6
66.7%
P 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1123
87.7%
Common 149
 
11.6%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 50
 
4.5%
구 49
 
4.4%
동 33
 
2.9%
청 30
 
2.7%
신 27
 
2.4%
원 26
 
2.3%
산 21
 
1.9%
문 20
 
1.8%
입 19
 
1.7%
성 18
 
1.6%
Other values (228) 830
73.9%
Common
ValueCountFrequency (%)
) 67
45.0%
( 67
45.0%
3 5
 
3.4%
5
 
3.4%
, 2
 
1.3%
4 2
 
1.3%
5 1
 
0.7%
Latin
ValueCountFrequency (%)
D 6
66.7%
P 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1123
87.7%
ASCII 158
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 67
42.4%
( 67
42.4%
D 6
 
3.8%
3 5
 
3.2%
5
 
3.2%
P 3
 
1.9%
, 2
 
1.3%
4 2
 
1.3%
5 1
 
0.6%
Hangul
ValueCountFrequency (%)
대 50
 
4.5%
구 49
 
4.4%
동 33
 
2.9%
청 30
 
2.7%
신 27
 
2.4%
원 26
 
2.3%
산 21
 
1.9%
문 20
 
1.8%
입 19
 
1.7%
성 18
 
1.6%
Other values (228) 830
73.9%

역전화번호
Text

Distinct280
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-30T00:56:01.244160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3456
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)94.4%

Sample

1st row02-6110-1331
2nd row02-6110-1321
3rd row02-6110-1311
4th row02-6110-1301
5th row02-6110-1291
ValueCountFrequency (%)
02-6110-3211 2
 
0.7%
02-6311-5371 2
 
0.7%
02-6311-7171 2
 
0.7%
02-6110-3521 2
 
0.7%
02-6311-5471 2
 
0.7%
02-6311-5441 2
 
0.7%
02-6110-4231 2
 
0.7%
02-6311-5291 2
 
0.7%
02-6110-1331 1
 
0.3%
02-6311-6191 1
 
0.3%
Other values (270) 270
93.8%
2024-04-30T00:56:01.613285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 928
26.9%
- 576
16.7%
0 464
13.4%
2 457
13.2%
6 370
 
10.7%
3 289
 
8.4%
5 113
 
3.3%
4 103
 
3.0%
7 72
 
2.1%
8 43
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2880
83.3%
Dash Punctuation 576
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 928
32.2%
0 464
16.1%
2 457
15.9%
6 370
 
12.8%
3 289
 
10.0%
5 113
 
3.9%
4 103
 
3.6%
7 72
 
2.5%
8 43
 
1.5%
9 41
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 576
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 928
26.9%
- 576
16.7%
0 464
13.4%
2 457
13.2%
6 370
 
10.7%
3 289
 
8.4%
5 113
 
3.3%
4 103
 
3.0%
7 72
 
2.1%
8 43
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 928
26.9%
- 576
16.7%
0 464
13.4%
2 457
13.2%
6 370
 
10.7%
3 289
 
8.4%
5 113
 
3.3%
4 103
 
3.0%
7 72
 
2.1%
8 43
 
1.2%

도로명주소
Text

Distinct274
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-30T00:56:01.907396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length24.631944
Min length21

Characters and Unicode

Total characters7094
Distinct characters211
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)90.3%

Sample

1st row서울특별시 중구 세종대로 지하2(남대문로 5가)
2nd row서울특별시 중구 세종대로 지하101(정동)
3rd row서울특별시 종로구 종로 지하55(종로1가)
4th row서울특별시 종로구 종로 지하129(종로3가)
5th row서울특별시 종로구 종로 지하216(종로5가)
ValueCountFrequency (%)
서울특별시 273
 
23.3%
송파구 28
 
2.4%
중구 23
 
2.0%
강남구 21
 
1.8%
마포구 16
 
1.4%
경기도 15
 
1.3%
종로구 15
 
1.3%
성동구 14
 
1.2%
강동구 14
 
1.2%
은평구 13
 
1.1%
Other values (427) 739
63.1%
2024-04-30T00:56:02.277895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
888
 
12.5%
동 350
 
4.9%
로 328
 
4.6%
서 320
 
4.5%
구 297
 
4.2%
시 288
 
4.1%
) 287
 
4.0%
( 287
 
4.0%
울 273
 
3.8%
별 273
 
3.8%
Other values (201) 3503
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4727
66.6%
Space Separator 888
 
12.5%
Decimal Number 886
 
12.5%
Close Punctuation 287
 
4.0%
Open Punctuation 287
 
4.0%
Dash Punctuation 19
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 350
 
7.4%
로 328
 
6.9%
서 320
 
6.8%
구 297
 
6.3%
시 288
 
6.1%
울 273
 
5.8%
별 273
 
5.8%
특 273
 
5.8%
지 272
 
5.8%
하 265
 
5.6%
Other values (187) 1788
37.8%
Decimal Number
ValueCountFrequency (%)
1 174
19.6%
2 136
15.3%
3 98
11.1%
0 98
11.1%
4 72
8.1%
7 72
8.1%
5 68
 
7.7%
6 58
 
6.5%
9 57
 
6.4%
8 53
 
6.0%
Space Separator
ValueCountFrequency (%)
888
100.0%
Close Punctuation
ValueCountFrequency (%)
) 287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4727
66.6%
Common 2367
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 350
 
7.4%
로 328
 
6.9%
서 320
 
6.8%
구 297
 
6.3%
시 288
 
6.1%
울 273
 
5.8%
별 273
 
5.8%
특 273
 
5.8%
지 272
 
5.8%
하 265
 
5.6%
Other values (187) 1788
37.8%
Common
ValueCountFrequency (%)
888
37.5%
) 287
 
12.1%
( 287
 
12.1%
1 174
 
7.4%
2 136
 
5.7%
3 98
 
4.1%
0 98
 
4.1%
4 72
 
3.0%
7 72
 
3.0%
5 68
 
2.9%
Other values (4) 187
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4727
66.6%
ASCII 2367
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
888
37.5%
) 287
 
12.1%
( 287
 
12.1%
1 174
 
7.4%
2 136
 
5.7%
3 98
 
4.1%
0 98
 
4.1%
4 72
 
3.0%
7 72
 
3.0%
5 68
 
2.9%
Other values (4) 187
 
7.9%
Hangul
ValueCountFrequency (%)
동 350
 
7.4%
로 328
 
6.9%
서 320
 
6.8%
구 297
 
6.3%
시 288
 
6.1%
울 273
 
5.8%
별 273
 
5.8%
특 273
 
5.8%
지 272
 
5.8%
하 265
 
5.6%
Other values (187) 1788
37.8%

지번주소
Text

UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-30T00:56:02.595049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length28.802083
Min length24

Characters and Unicode

Total characters8295
Distinct characters245
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique288 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 남대문로5가 73-6 서울역(1호선)
2nd row서울특별시 중구 정동 5-5 시청역(1호선)
3rd row서울특별시 종로구 종로1가 54 종각역(1호선)
4th row서울특별시 종로구 종로3가 10-5 종로3가역(1호선)
5th row서울특별시 종로구 종로5가 82-1 종로5가역(1호선)
ValueCountFrequency (%)
서울특별시 272
 
18.7%
송파구 28
 
1.9%
중구 23
 
1.6%
강남구 21
 
1.4%
마포구 16
 
1.1%
경기도 15
 
1.0%
종로구 15
 
1.0%
성동구 14
 
1.0%
강동구 14
 
1.0%
노원구 13
 
0.9%
Other values (754) 1025
70.4%
2024-04-30T00:56:03.054671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1168
 
14.1%
동 345
 
4.2%
구 323
 
3.9%
서 313
 
3.8%
호 302
 
3.6%
선 298
 
3.6%
역 296
 
3.6%
시 295
 
3.6%
) 293
 
3.5%
( 293
 
3.5%
Other values (235) 4369
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4930
59.4%
Decimal Number 1413
 
17.0%
Space Separator 1168
 
14.1%
Close Punctuation 293
 
3.5%
Open Punctuation 293
 
3.5%
Dash Punctuation 198
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 345
 
7.0%
구 323
 
6.6%
서 313
 
6.3%
호 302
 
6.1%
선 298
 
6.0%
역 296
 
6.0%
시 295
 
6.0%
울 277
 
5.6%
별 273
 
5.5%
특 272
 
5.5%
Other values (221) 1936
39.3%
Decimal Number
ValueCountFrequency (%)
1 245
17.3%
2 199
14.1%
5 152
10.8%
3 151
10.7%
6 144
10.2%
7 136
9.6%
4 136
9.6%
9 98
 
6.9%
8 85
 
6.0%
0 67
 
4.7%
Space Separator
ValueCountFrequency (%)
1168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4930
59.4%
Common 3365
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 345
 
7.0%
구 323
 
6.6%
서 313
 
6.3%
호 302
 
6.1%
선 298
 
6.0%
역 296
 
6.0%
시 295
 
6.0%
울 277
 
5.6%
별 273
 
5.5%
특 272
 
5.5%
Other values (221) 1936
39.3%
Common
ValueCountFrequency (%)
1168
34.7%
) 293
 
8.7%
( 293
 
8.7%
1 245
 
7.3%
2 199
 
5.9%
- 198
 
5.9%
5 152
 
4.5%
3 151
 
4.5%
6 144
 
4.3%
7 136
 
4.0%
Other values (4) 386
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4930
59.4%
ASCII 3365
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1168
34.7%
) 293
 
8.7%
( 293
 
8.7%
1 245
 
7.3%
2 199
 
5.9%
- 198
 
5.9%
5 152
 
4.5%
3 151
 
4.5%
6 144
 
4.3%
7 136
 
4.0%
Other values (4) 386
 
11.5%
Hangul
ValueCountFrequency (%)
동 345
 
7.0%
구 323
 
6.6%
서 313
 
6.3%
호 302
 
6.1%
선 298
 
6.0%
역 296
 
6.0%
시 295
 
6.0%
울 277
 
5.6%
별 273
 
5.5%
특 272
 
5.5%
Other values (221) 1936
39.3%

Interactions

2024-04-30T00:55:59.342237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:58.760125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:59.058898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:59.422285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:58.889578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:59.135677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:59.511019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:58.983487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T00:55:59.245831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T00:56:03.138981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번역번호호선
연번1.0000.9150.933
역번호0.9151.0000.941
호선0.9330.9411.000
2024-04-30T00:56:03.225275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번역번호호선
연번1.0001.0000.989
역번호1.0001.0000.989
호선0.9890.9891.000

Missing values

2024-04-30T00:55:59.611538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T00:55:59.708184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번역번호호선역명역전화번호도로명주소지번주소
011501서울02-6110-1331서울특별시 중구 세종대로 지하2(남대문로 5가)서울특별시 중구 남대문로5가 73-6 서울역(1호선)
121511시청02-6110-1321서울특별시 중구 세종대로 지하101(정동)서울특별시 중구 정동 5-5 시청역(1호선)
231521종각02-6110-1311서울특별시 종로구 종로 지하55(종로1가)서울특별시 종로구 종로1가 54 종각역(1호선)
341531종로3가02-6110-1301서울특별시 종로구 종로 지하129(종로3가)서울특별시 종로구 종로3가 10-5 종로3가역(1호선)
451541종로5가02-6110-1291서울특별시 종로구 종로 지하216(종로5가)서울특별시 종로구 종로5가 82-1 종로5가역(1호선)
561551동대문02-6110-1281서울특별시 종로구 종로 지하302(창신동)서울특별시 종로구 창신동 492-1 동대문역(1호선)
671561신설동02-6110-1261서울특별시 동대문구 왕산로 지하1(신설동)서울특별시 동대문구 신설동 76-5 신설동역(1호선)
781571제기동02-6110-1251서울특별시 동대문구 왕산로 지하93(제기동)서울특별시 동대문구 제기동 65 제기동역(1호선)
891581청량리(서울시립대입구)02-6110-1241서울특별시 동대문구 왕산로 지하205(전농동)서울특별시 동대문구 전농동 620-69 청량리역(1호선)
9101591동묘앞02-6110-1271서울특별시 종로구 종로 359(숭인동)서울특별시 종로구 숭인동 117 동묘앞역(1호선)
연번역번호호선역명역전화번호도로명주소지번주소
27827941299봉은사02-2656-0929서울특별시 강남구 봉은사로 지하601(삼성동)서울특별시 강남구 삼성동 172 봉은사역(9호선)
27928041309종합운동장02-2656-0930서울특별시 송파구 올림픽로 49(잠실동)서울특별시 송파구 잠실동 123 종합운동장역(9호선)
28028141319삼전02-2656-0931서울특별시 송파구 백제고분로 지하189(잠실동)서울특별시 송파구 잠실동 347 삼전역(9호선)
28128241329석촌고분02-2656-0932서울특별시 송파구 백제고분로 지하274(삼전동)서울특별시 송파구 삼전동 157-1 석촌고분역(9호선)
28228341339석촌02-2656-0933서울특별시 송파구 송파대로 지하439(석촌동)서울특별시 송파구 석촌동 209 석촌역(9호선)
28328441349송파나루02-2656-0934서울특별시 송파구 백제고분로 지하446(방이동)서울특별시 송파구 방이동 2 송파나루역(9호선)
28428541359한성백제02-2656-0935서울특별시 송파구 위례성대로 지하29(방이동)서울특별시 송파구 방이동 88-17 한성백제역(9호선)
28528641369올림픽공원(한국체대)02-2656-0936서울특별시 송파구 양재대로 지하1233(방이동)서울특별시 송파구 방이동 89-28 올림픽공원역(9호선)
28628741379둔촌오륜02-2656-0937서울특별시 강동구 강동대로 지하303(둔촌동)서울특별시 강동구 둔촌동 227-7 둔촌오륜역(9호선)
28728841389중앙보훈병원02-2656-0938서울특별시 강동구 동남로 지하625(둔촌동)서울특별시 강동구 둔촌동 8-1 중앙보훈병원역(9호선)