Overview

Dataset statistics

Number of variables34
Number of observations554
Missing cells4301
Missing cells (%)22.8%
Duplicate rows3
Duplicate rows (%)0.5%
Total size in memory153.2 KiB
Average record size in memory283.2 B

Variable types

Numeric6
Categorical17
Text5
Boolean6

Dataset

Description지하철 1~8호선의 역사 내 공중화장실 데이터(화장실명, 소재지도로명주소, 소재지지번주소, 남녀공용화장실여부, 대/소변기수, 등)입니다.
URLhttps://www.data.go.kr/data/15044453/fileData.do

Alerts

남녀공용화장실여부 has constant value ""Constant
비상벨 설치유무 has constant value ""Constant
화장실입구cctv설치유무 has constant value ""Constant
Dataset has 3 (0.5%) duplicate rowsDuplicates
남성용-장애인용소변기수 is highly imbalanced (67.1%)Imbalance
남성용-어린이용소변기수 is highly imbalanced (84.9%)Imbalance
연번 has 253 (45.7%) missing valuesMissing
호선 has 253 (45.7%) missing valuesMissing
화장실명(역명) has 253 (45.7%) missing valuesMissing
소재지도로명주소 has 253 (45.7%) missing valuesMissing
소재지지번주소 has 253 (45.7%) missing valuesMissing
남녀공용화장실여부 has 253 (45.7%) missing valuesMissing
남성용-대변기수 has 253 (45.7%) missing valuesMissing
여성용-대변기수 has 253 (45.7%) missing valuesMissing
전화번호 has 253 (45.7%) missing valuesMissing
화장실 상세위치 has 253 (45.7%) missing valuesMissing
위도 has 253 (45.7%) missing valuesMissing
경도 has 253 (45.7%) missing valuesMissing
비상벨 설치유무 has 253 (45.7%) missing valuesMissing
화장실입구cctv설치유무 has 253 (45.7%) missing valuesMissing
기저귀교환대설치유무-남자장애인화장실 has 253 (45.7%) missing valuesMissing
기저귀교환대설치유무-여자화장실 has 253 (45.7%) missing valuesMissing
기저귀교환대설치유무-여자장애인화장실 has 253 (45.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:37:41.571223
Analysis finished2023-12-12 16:37:42.405200
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct301
Distinct (%)100.0%
Missing253
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean151
Minimum1
Maximum301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-13T01:37:42.494923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q176
median151
Q3226
95-th percentile286
Maximum301
Range300
Interquartile range (IQR)150

Descriptive statistics

Standard deviation87.035433
Coefficient of variation (CV)0.5763936
Kurtosis-1.2
Mean151
Median Absolute Deviation (MAD)75
Skewness0
Sum45451
Variance7575.1667
MonotonicityStrictly increasing
2023-12-13T01:37:42.670930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208 1
 
0.2%
206 1
 
0.2%
205 1
 
0.2%
204 1
 
0.2%
203 1
 
0.2%
202 1
 
0.2%
201 1
 
0.2%
200 1
 
0.2%
199 1
 
0.2%
198 1
 
0.2%
Other values (291) 291
52.5%
(Missing) 253
45.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
301 1
0.2%
300 1
0.2%
299 1
0.2%
298 1
0.2%
297 1
0.2%
296 1
0.2%
295 1
0.2%
294 1
0.2%
293 1
0.2%
292 1
0.2%

구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
공중화장실
301 
<NA>
253 

Length

Max length7
Median length7
Mean length5.6299639
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 공중화장실
2nd row 공중화장실
3rd row 공중화장실
4th row 공중화장실
5th row 공중화장실

Common Values

ValueCountFrequency (%)
공중화장실 301
54.3%
<NA> 253
45.7%

Length

2023-12-13T01:37:42.856253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:42.992509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공중화장실 301
54.3%
na 253
45.7%

호선
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)2.7%
Missing253
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean4.4916944
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-13T01:37:43.095629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.020915
Coefficient of variation (CV)0.44992265
Kurtosis-1.1636799
Mean4.4916944
Median Absolute Deviation (MAD)2
Skewness-0.025652563
Sum1352
Variance4.0840975
MonotonicityIncreasing
2023-12-13T01:37:43.233837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 58
 
10.5%
2 57
 
10.3%
7 44
 
7.9%
6 43
 
7.8%
3 37
 
6.7%
4 30
 
5.4%
8 17
 
3.1%
1 15
 
2.7%
(Missing) 253
45.7%
ValueCountFrequency (%)
1 15
 
2.7%
2 57
10.3%
3 37
6.7%
4 30
5.4%
5 58
10.5%
6 43
7.8%
7 44
7.9%
8 17
 
3.1%
ValueCountFrequency (%)
8 17
 
3.1%
7 44
7.9%
6 43
7.8%
5 58
10.5%
4 30
5.4%
3 37
6.7%
2 57
10.3%
1 15
 
2.7%

화장실명(역명)
Text

MISSING 

Distinct268
Distinct (%)89.0%
Missing253
Missing (%)45.7%
Memory size4.5 KiB
2023-12-13T01:37:43.618197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.9036545
Min length4

Characters and Unicode

Total characters1777
Distinct characters214
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)79.7%

Sample

1st row 서울(1)
2nd row 시청(1)
3rd row 종각
4th row 종각
5th row 종로3가(1)
ValueCountFrequency (%)
동묘앞(1 4
 
1.3%
용두 4
 
1.3%
사당(4 3
 
1.0%
시청(2 2
 
0.7%
월드컵경기장 2
 
0.7%
종합운동장 2
 
0.7%
당고개 2
 
0.7%
마포구청 2
 
0.7%
동대문역사문화공원(4 2
 
0.7%
사당(2 2
 
0.7%
Other values (258) 276
91.7%
2023-12-13T01:37:44.218352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602
33.9%
) 96
 
5.4%
( 96
 
5.4%
대 33
 
1.9%
구 28
 
1.6%
동 27
 
1.5%
신 24
 
1.4%
산 20
 
1.1%
3 18
 
1.0%
사 17
 
1.0%
Other values (204) 816
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
49.4%
Space Separator 602
33.9%
Decimal Number 106
 
6.0%
Close Punctuation 96
 
5.4%
Open Punctuation 96
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 33
 
3.8%
구 28
 
3.2%
동 27
 
3.1%
신 24
 
2.7%
산 20
 
2.3%
사 17
 
1.9%
문 17
 
1.9%
로 16
 
1.8%
원 16
 
1.8%
가 15
 
1.7%
Other values (193) 664
75.7%
Decimal Number
ValueCountFrequency (%)
3 18
17.0%
2 17
16.0%
5 17
16.0%
6 15
14.2%
4 13
12.3%
7 12
11.3%
1 10
9.4%
8 4
 
3.8%
Space Separator
ValueCountFrequency (%)
602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 900
50.6%
Hangul 877
49.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 33
 
3.8%
구 28
 
3.2%
동 27
 
3.1%
신 24
 
2.7%
산 20
 
2.3%
사 17
 
1.9%
문 17
 
1.9%
로 16
 
1.8%
원 16
 
1.8%
가 15
 
1.7%
Other values (193) 664
75.7%
Common
ValueCountFrequency (%)
602
66.9%
) 96
 
10.7%
( 96
 
10.7%
3 18
 
2.0%
2 17
 
1.9%
5 17
 
1.9%
6 15
 
1.7%
4 13
 
1.4%
7 12
 
1.3%
1 10
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
50.6%
Hangul 877
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
602
66.9%
) 96
 
10.7%
( 96
 
10.7%
3 18
 
2.0%
2 17
 
1.9%
5 17
 
1.9%
6 15
 
1.7%
4 13
 
1.4%
7 12
 
1.3%
1 10
 
1.1%
Hangul
ValueCountFrequency (%)
대 33
 
3.8%
구 28
 
3.2%
동 27
 
3.1%
신 24
 
2.7%
산 20
 
2.3%
사 17
 
1.9%
문 17
 
1.9%
로 16
 
1.8%
원 16
 
1.8%
가 15
 
1.7%
Other values (193) 664
75.7%

소재지도로명주소
Text

MISSING 

Distinct265
Distinct (%)88.0%
Missing253
Missing (%)45.7%
Memory size4.5 KiB
2023-12-13T01:37:44.585158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length27.282392
Min length21

Characters and Unicode

Total characters8212
Distinct characters240
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)78.1%

Sample

1st row 서울특별시 중구 봉래동2가 122 서울역(1호선)
2nd row 서울특별시 중구 정동 5-5 시청역(1호선)
3rd row 서울특별시 종로구 종로1가 54 종각지하철역사
4th row 서울특별시 종로구 종로1가 54 종각지하철역사
5th row 서울특별시 종로3가 10-5 1호선 종로3가역(1호선)
ValueCountFrequency (%)
서울특별시 285
 
18.4%
송파구 25
 
1.6%
중구 24
 
1.5%
종로구 19
 
1.2%
강남구 18
 
1.2%
마포구 18
 
1.2%
동작구 16
 
1.0%
성동구 15
 
1.0%
노원구 15
 
1.0%
경기도 15
 
1.0%
Other values (725) 1103
71.0%
2023-12-13T01:37:45.136182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1857
22.6%
동 358
 
4.4%
구 334
 
4.1%
서 329
 
4.0%
시 311
 
3.8%
역 310
 
3.8%
울 290
 
3.5%
별 286
 
3.5%
특 285
 
3.5%
1 251
 
3.1%
Other values (230) 3601
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4745
57.8%
Space Separator 1857
 
22.6%
Decimal Number 1258
 
15.3%
Dash Punctuation 201
 
2.4%
Open Punctuation 71
 
0.9%
Close Punctuation 71
 
0.9%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 358
 
7.5%
구 334
 
7.0%
서 329
 
6.9%
시 311
 
6.6%
역 310
 
6.5%
울 290
 
6.1%
별 286
 
6.0%
특 285
 
6.0%
호 103
 
2.2%
선 100
 
2.1%
Other values (215) 2039
43.0%
Decimal Number
ValueCountFrequency (%)
1 251
20.0%
2 174
13.8%
4 141
11.2%
3 132
10.5%
6 122
9.7%
5 106
8.4%
7 95
 
7.6%
9 84
 
6.7%
0 78
 
6.2%
8 75
 
6.0%
Space Separator
ValueCountFrequency (%)
1857
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4745
57.8%
Common 3467
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 358
 
7.5%
구 334
 
7.0%
서 329
 
6.9%
시 311
 
6.6%
역 310
 
6.5%
울 290
 
6.1%
별 286
 
6.0%
특 285
 
6.0%
호 103
 
2.2%
선 100
 
2.1%
Other values (215) 2039
43.0%
Common
ValueCountFrequency (%)
1857
53.6%
1 251
 
7.2%
- 201
 
5.8%
2 174
 
5.0%
4 141
 
4.1%
3 132
 
3.8%
6 122
 
3.5%
5 106
 
3.1%
7 95
 
2.7%
9 84
 
2.4%
Other values (5) 304
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4745
57.8%
ASCII 3467
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1857
53.6%
1 251
 
7.2%
- 201
 
5.8%
2 174
 
5.0%
4 141
 
4.1%
3 132
 
3.8%
6 122
 
3.5%
5 106
 
3.1%
7 95
 
2.7%
9 84
 
2.4%
Other values (5) 304
 
8.8%
Hangul
ValueCountFrequency (%)
동 358
 
7.5%
구 334
 
7.0%
서 329
 
6.9%
시 311
 
6.6%
역 310
 
6.5%
울 290
 
6.1%
별 286
 
6.0%
특 285
 
6.0%
호 103
 
2.2%
선 100
 
2.1%
Other values (215) 2039
43.0%

소재지지번주소
Text

MISSING 

Distinct219
Distinct (%)72.8%
Missing253
Missing (%)45.7%
Memory size4.5 KiB
2023-12-13T01:37:45.554543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length17.026578
Min length17

Characters and Unicode

Total characters5125
Distinct characters166
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

Unique161 ?
Unique (%)53.5%

Sample

1st row 서울특별시 중구 봉래동2가
2nd row 서울특별시 중구 정동 5-5
3rd row 서울특별시 종로구 종로1가
4th row 서울특별시 종로구 종로1가
5th row 서울특별시 종로3가 10-5
ValueCountFrequency (%)
서울특별시 285
25.0%
1 72
 
6.3%
송파구 25
 
2.2%
중구 24
 
2.1%
3 23
 
2.0%
2 22
 
1.9%
종로구 19
 
1.7%
강남구 18
 
1.6%
마포구 18
 
1.6%
4 17
 
1.5%
Other values (230) 616
54.1%
2023-12-13T01:37:46.131434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1480
28.9%
동 336
 
6.6%
서 322
 
6.3%
구 307
 
6.0%
시 301
 
5.9%
울 286
 
5.6%
별 286
 
5.6%
특 285
 
5.6%
1 94
 
1.8%
로 50
 
1.0%
Other values (156) 1378
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3330
65.0%
Space Separator 1480
28.9%
Decimal Number 310
 
6.0%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 336
 
10.1%
서 322
 
9.7%
구 307
 
9.2%
시 301
 
9.0%
울 286
 
8.6%
별 286
 
8.6%
특 285
 
8.6%
로 50
 
1.5%
강 46
 
1.4%
성 42
 
1.3%
Other values (144) 1069
32.1%
Decimal Number
ValueCountFrequency (%)
1 94
30.3%
2 44
14.2%
3 40
12.9%
5 31
 
10.0%
4 25
 
8.1%
6 21
 
6.8%
7 19
 
6.1%
8 18
 
5.8%
9 13
 
4.2%
0 5
 
1.6%
Space Separator
ValueCountFrequency (%)
1480
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3330
65.0%
Common 1795
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 336
 
10.1%
서 322
 
9.7%
구 307
 
9.2%
시 301
 
9.0%
울 286
 
8.6%
별 286
 
8.6%
특 285
 
8.6%
로 50
 
1.5%
강 46
 
1.4%
성 42
 
1.3%
Other values (144) 1069
32.1%
Common
ValueCountFrequency (%)
1480
82.5%
1 94
 
5.2%
2 44
 
2.5%
3 40
 
2.2%
5 31
 
1.7%
4 25
 
1.4%
6 21
 
1.2%
7 19
 
1.1%
8 18
 
1.0%
9 13
 
0.7%
Other values (2) 10
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3330
65.0%
ASCII 1795
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1480
82.5%
1 94
 
5.2%
2 44
 
2.5%
3 40
 
2.2%
5 31
 
1.7%
4 25
 
1.4%
6 21
 
1.2%
7 19
 
1.1%
8 18
 
1.0%
9 13
 
0.7%
Other values (2) 10
 
0.6%
Hangul
ValueCountFrequency (%)
동 336
 
10.1%
서 322
 
9.7%
구 307
 
9.2%
시 301
 
9.0%
울 286
 
8.6%
별 286
 
8.6%
특 285
 
8.6%
로 50
 
1.5%
강 46
 
1.4%
성 42
 
1.3%
Other values (144) 1069
32.1%

남녀공용화장실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing253
Missing (%)45.7%
Memory size1.2 KiB
False
301 
(Missing)
253 
ValueCountFrequency (%)
False 301
54.3%
(Missing) 253
45.7%
2023-12-13T01:37:46.264986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)2.7%
Missing253
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean3.6644518
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-13T01:37:46.346330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3330537
Coefficient of variation (CV)0.36377983
Kurtosis-0.1037786
Mean3.6644518
Median Absolute Deviation (MAD)1
Skewness0.38675109
Sum1103
Variance1.7770321
MonotonicityNot monotonic
2023-12-13T01:37:46.439421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 101
 
18.2%
4 66
 
11.9%
5 54
 
9.7%
2 43
 
7.8%
6 20
 
3.6%
1 10
 
1.8%
7 6
 
1.1%
8 1
 
0.2%
(Missing) 253
45.7%
ValueCountFrequency (%)
1 10
 
1.8%
2 43
7.8%
3 101
18.2%
4 66
11.9%
5 54
9.7%
6 20
 
3.6%
7 6
 
1.1%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
7 6
 
1.1%
6 20
 
3.6%
5 54
9.7%
4 66
11.9%
3 101
18.2%
2 43
7.8%
1 10
 
1.8%

남성용-소변기수
Categorical

Distinct15
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
253 
5
76 
4
71 
3
50 
6
38 
Other values (10)
66 

Length

Max length5
Median length1
Mean length2.3880866
Min length1

Unique

Unique4 ?
Unique (%)0.7%

Sample

1st row5
2nd row5
3rd row2
4th row5
5th row6

Common Values

ValueCountFrequency (%)
<NA> 253
45.7%
5 76
 
13.7%
4 71
 
12.8%
3 50
 
9.0%
6 38
 
6.9%
7 25
 
4.5%
8 14
 
2.5%
2 13
 
2.3%
9 6
 
1.1%
11 2
 
0.4%
Other values (5) 6
 
1.1%

Length

2023-12-13T01:37:46.574121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 253
45.7%
5 76
 
13.7%
4 71
 
12.8%
3 50
 
9.0%
6 38
 
6.9%
7 25
 
4.5%
8 14
 
2.5%
2 13
 
2.3%
9 6
 
1.1%
11 2
 
0.4%
Other values (5) 6
 
1.1%

남성용-장애인용대변기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
285 
<NA>
269 

Length

Max length4
Median length1
Mean length2.4566787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 285
51.4%
<NA> 269
48.6%

Length

2023-12-13T01:37:46.707063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:46.805510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 285
51.4%
na 269
48.6%

남성용-장애인용소변기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
503 
1
 
37
-
 
14

Length

Max length5
Median length4
Mean length3.8249097
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 503
90.8%
1 37
 
6.7%
- 14
 
2.5%

Length

2023-12-13T01:37:46.918062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:47.022157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 503
90.8%
1 37
 
6.7%
14
 
2.5%

남성용-어린이용대변기수
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
397 
1
131 
2
 
26

Length

Max length4
Median length4
Mean length3.1498195
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 397
71.7%
1 131
 
23.6%
2 26
 
4.7%

Length

2023-12-13T01:37:47.117863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:47.238809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 397
71.7%
1 131
 
23.6%
2 26
 
4.7%

남성용-어린이용소변기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
542 
1
 
12

Length

Max length4
Median length4
Mean length3.9350181
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 542
97.8%
1 12
 
2.2%

Length

2023-12-13T01:37:47.362577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:47.456771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 542
97.8%
1 12
 
2.2%

여성용-대변기수
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)6.6%
Missing253
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean8.8438538
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-13T01:37:47.547801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median8
Q311
95-th percentile15
Maximum21
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5164666
Coefficient of variation (CV)0.39761699
Kurtosis0.54612119
Mean8.8438538
Median Absolute Deviation (MAD)2
Skewness0.58710941
Sum2662
Variance12.365537
MonotonicityNot monotonic
2023-12-13T01:37:47.683618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8 49
 
8.8%
6 45
 
8.1%
7 33
 
6.0%
9 31
 
5.6%
10 26
 
4.7%
11 19
 
3.4%
5 16
 
2.9%
12 15
 
2.7%
14 14
 
2.5%
13 12
 
2.2%
Other values (10) 41
 
7.4%
(Missing) 253
45.7%
ValueCountFrequency (%)
1 3
 
0.5%
2 6
 
1.1%
3 7
 
1.3%
4 3
 
0.5%
5 16
 
2.9%
6 45
8.1%
7 33
6.0%
8 49
8.8%
9 31
5.6%
10 26
4.7%
ValueCountFrequency (%)
21 1
 
0.2%
20 2
 
0.4%
19 1
 
0.2%
17 3
 
0.5%
16 5
 
0.9%
15 10
1.8%
14 14
2.5%
13 12
2.2%
12 15
2.7%
11 19
3.4%

여성용-장애인용대변기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
1
285 
<NA>
269 

Length

Max length4
Median length1
Mean length2.4566787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 285
51.4%
<NA> 269
48.6%

Length

2023-12-13T01:37:47.839729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:47.945980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 285
51.4%
na 269
48.6%

여성용-어린이용대변기수
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
382 
1
134 
2
 
37
3
 
1

Length

Max length4
Median length4
Mean length3.0685921
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row2
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 382
69.0%
1 134
 
24.2%
2 37
 
6.7%
3 1
 
0.2%

Length

2023-12-13T01:37:48.045411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:48.145586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
69.0%
1 134
 
24.2%
2 37
 
6.7%
3 1
 
0.2%

관리기관명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
서울교통공사
301 
<NA>
253 

Length

Max length8
Median length8
Mean length6.1732852
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 서울교통공사
2nd row 서울교통공사
3rd row 서울교통공사
4th row 서울교통공사
5th row 서울교통공사

Common Values

ValueCountFrequency (%)
서울교통공사 301
54.3%
<NA> 253
45.7%

Length

2023-12-13T01:37:48.285005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:48.391416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울교통공사 301
54.3%
na 253
45.7%

전화번호
Text

MISSING 

Distinct263
Distinct (%)87.4%
Missing253
Missing (%)45.7%
Memory size4.5 KiB
2023-12-13T01:37:48.617764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters4214
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)76.7%

Sample

1st row 02-6110-1331
2nd row 02-6110-1321
3rd row 02-6110-1311
4th row 02-6110-1311
5th row 02-6110-1301
ValueCountFrequency (%)
02-6110-1361 4
 
1.3%
02-6110-1271 4
 
1.3%
02-6110-4331 3
 
1.0%
02-6110-3522 3
 
1.0%
02-6311-5621 2
 
0.7%
02-6110-3501 2
 
0.7%
02-6311-7321 2
 
0.7%
02-6110-2341 2
 
0.7%
02-6311-5291 2
 
0.7%
02-6110-3211 2
 
0.7%
Other values (253) 275
91.4%
2023-12-13T01:37:49.025907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1016
24.1%
602
14.3%
- 602
14.3%
0 487
11.6%
2 474
11.2%
6 379
 
9.0%
3 301
 
7.1%
4 105
 
2.5%
5 104
 
2.5%
7 73
 
1.7%
Other values (2) 71
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3010
71.4%
Space Separator 602
 
14.3%
Dash Punctuation 602
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1016
33.8%
0 487
16.2%
2 474
15.7%
6 379
 
12.6%
3 301
 
10.0%
4 105
 
3.5%
5 104
 
3.5%
7 73
 
2.4%
8 42
 
1.4%
9 29
 
1.0%
Space Separator
ValueCountFrequency (%)
602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1016
24.1%
602
14.3%
- 602
14.3%
0 487
11.6%
2 474
11.2%
6 379
 
9.0%
3 301
 
7.1%
4 105
 
2.5%
5 104
 
2.5%
7 73
 
1.7%
Other values (2) 71
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1016
24.1%
602
14.3%
- 602
14.3%
0 487
11.6%
2 474
11.2%
6 379
 
9.0%
3 301
 
7.1%
4 105
 
2.5%
5 104
 
2.5%
7 73
 
1.7%
Other values (2) 71
 
1.7%

개방시간
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
05:00~24:00
301 
<NA>
253 

Length

Max length13
Median length13
Mean length8.8898917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 05:00~24:00
2nd row 05:00~24:00
3rd row 05:00~24:00
4th row 05:00~24:00
5th row 05:00~24:00

Common Values

ValueCountFrequency (%)
05:00~24:00 301
54.3%
<NA> 253
45.7%

Length

2023-12-13T01:37:49.193590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:49.316621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05:00~24:00 301
54.3%
na 253
45.7%

화장실 상세위치
Text

MISSING 

Distinct282
Distinct (%)93.7%
Missing253
Missing (%)45.7%
Memory size4.5 KiB
2023-12-13T01:37:49.624618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length17.734219
Min length5

Characters and Unicode

Total characters5338
Distinct characters183
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)88.7%

Sample

1st row 지하1층 2번출구 부근
2nd row 지하1층 5번출구 부근
3rd row 지하1층 가게이트 부근 (연결통로 부근, 시청측)
4th row 지하1층 다게이트 부근 (종로3가측)
5th row 지하1층 가게이트 부근
ValueCountFrequency (%)
대합실 186
 
16.4%
지하1층 89
 
7.9%
1층 64
 
5.6%
앞 57
 
5.0%
옆 55
 
4.9%
b1층 37
 
3.3%
출구 29
 
2.6%
지하2층 21
 
1.9%
역무실 20
 
1.8%
방향 20
 
1.8%
Other values (267) 555
49.0%
2023-12-13T01:37:50.107084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1471
27.6%
층 272
 
5.1%
1 268
 
5.0%
실 255
 
4.8%
대 226
 
4.2%
합 221
 
4.1%
지 156
 
2.9%
구 146
 
2.7%
하 145
 
2.7%
출 142
 
2.7%
Other values (173) 2036
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2933
54.9%
Space Separator 1471
27.6%
Decimal Number 550
 
10.3%
Other Punctuation 122
 
2.3%
Uppercase Letter 90
 
1.7%
Close Punctuation 76
 
1.4%
Open Punctuation 76
 
1.4%
Dash Punctuation 8
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 272
 
9.3%
실 255
 
8.7%
대 226
 
7.7%
합 221
 
7.5%
지 156
 
5.3%
구 146
 
5.0%
하 145
 
4.9%
출 142
 
4.8%
번 140
 
4.8%
이 89
 
3.0%
Other values (141) 1141
38.9%
Decimal Number
ValueCountFrequency (%)
1 268
48.7%
2 121
22.0%
3 49
 
8.9%
4 31
 
5.6%
5 22
 
4.0%
7 21
 
3.8%
6 15
 
2.7%
8 15
 
2.7%
0 5
 
0.9%
9 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
B 64
71.1%
E 11
 
12.2%
S 8
 
8.9%
V 3
 
3.3%
G 1
 
1.1%
L 1
 
1.1%
A 1
 
1.1%
I 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
b 2
33.3%
g 1
16.7%
s 1
16.7%
i 1
16.7%
m 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 112
91.8%
/ 9
 
7.4%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1471
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Symbol
ValueCountFrequency (%)
ⓘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2933
54.9%
Common 2309
43.3%
Latin 96
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 272
 
9.3%
실 255
 
8.7%
대 226
 
7.7%
합 221
 
7.5%
지 156
 
5.3%
구 146
 
5.0%
하 145
 
4.9%
출 142
 
4.8%
번 140
 
4.8%
이 89
 
3.0%
Other values (141) 1141
38.9%
Common
ValueCountFrequency (%)
1471
63.7%
1 268
 
11.6%
2 121
 
5.2%
, 112
 
4.9%
) 76
 
3.3%
( 76
 
3.3%
3 49
 
2.1%
4 31
 
1.3%
5 22
 
1.0%
7 21
 
0.9%
Other values (9) 62
 
2.7%
Latin
ValueCountFrequency (%)
B 64
66.7%
E 11
 
11.5%
S 8
 
8.3%
V 3
 
3.1%
b 2
 
2.1%
G 1
 
1.0%
g 1
 
1.0%
s 1
 
1.0%
i 1
 
1.0%
L 1
 
1.0%
Other values (3) 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2933
54.9%
ASCII 2403
45.0%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1471
61.2%
1 268
 
11.2%
2 121
 
5.0%
, 112
 
4.7%
) 76
 
3.2%
( 76
 
3.2%
B 64
 
2.7%
3 49
 
2.0%
4 31
 
1.3%
5 22
 
0.9%
Other values (21) 113
 
4.7%
Hangul
ValueCountFrequency (%)
층 272
 
9.3%
실 255
 
8.7%
대 226
 
7.7%
합 221
 
7.5%
지 156
 
5.3%
구 146
 
5.0%
하 145
 
4.9%
출 142
 
4.8%
번 140
 
4.8%
이 89
 
3.0%
Other values (141) 1141
38.9%
Enclosed Alphanum
ValueCountFrequency (%)
ⓘ 2
100.0%

화장실 상세위치(게이트 내외부)
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
253 
외부
227 
내부
74 

Length

Max length4
Median length2
Mean length2.9133574
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 253
45.7%
외부 227
41.0%
내부 74
 
13.4%

Length

2023-12-13T01:37:50.254625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:50.348022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
45.7%
외부 227
41.0%
내부 74
 
13.4%

위도
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)89.4%
Missing253
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean37.674001
Minimum36.344485
Maximum57.580037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-13T01:37:50.447153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.344485
5-th percentile37.477591
Q137.504905
median37.547892
Q337.573281
95-th percentile37.629878
Maximum57.580037
Range21.235552
Interquartile range (IQR)0.068376

Descriptive statistics

Standard deviation1.6296822
Coefficient of variation (CV)0.043257477
Kurtosis147.17003
Mean37.674001
Median Absolute Deviation (MAD)0.031264
Skewness12.155287
Sum11339.874
Variance2.6558642
MonotonicityNot monotonic
2023-12-13T01:37:50.572564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.57406213 4
 
0.7%
37.573281 4
 
0.7%
37.47759121 3
 
0.5%
37.56209982 2
 
0.4%
37.47656223 2
 
0.4%
37.511206 2
 
0.4%
37.56514371 2
 
0.4%
37.577964 2
 
0.4%
37.569656 2
 
0.4%
37.563418 2
 
0.4%
Other values (259) 276
49.8%
(Missing) 253
45.7%
ValueCountFrequency (%)
36.344485 1
0.2%
37.433072 1
0.2%
37.437611 1
0.2%
37.440749 1
0.2%
37.445163 1
0.2%
37.451541 1
0.2%
37.46272308 1
0.2%
37.470375 1
0.2%
37.47074187 1
0.2%
37.47619284 1
0.2%
ValueCountFrequency (%)
57.580037 1
0.2%
57.50067442 1
0.2%
37.69995657 1
0.2%
37.699655 1
0.2%
37.68963047 2
0.4%
37.67021684 2
0.4%
37.665375 1
0.2%
37.654527 1
0.2%
37.648811 1
0.2%
37.645494 1
0.2%

경도
Real number (ℝ)

MISSING 

Distinct268
Distinct (%)89.0%
Missing253
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean127.0101
Minimum126.80126
Maximum127.22263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-13T01:37:50.741974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.80126
5-th percentile126.86571
Q1126.95455
median127.01438
Q3127.0717
95-th percentile127.13979
Maximum127.22263
Range0.4213732
Interquartile range (IQR)0.117155

Descriptive statistics

Standard deviation0.085007153
Coefficient of variation (CV)0.00066929446
Kurtosis-0.33929066
Mean127.0101
Median Absolute Deviation (MAD)0.0586498
Skewness-0.12426835
Sum38230.039
Variance0.007226216
MonotonicityNot monotonic
2023-12-13T01:37:50.880793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0382757 4
 
0.7%
127.016649 4
 
0.7%
126.9816985 3
 
0.5%
126.8012568 2
 
0.4%
126.9815586 2
 
0.4%
126.979819 2
 
0.4%
127.019539 2
 
0.4%
127.0079152 2
 
0.4%
126.898232 2
 
0.4%
126.896869 2
 
0.4%
Other values (258) 276
49.8%
(Missing) 253
45.7%
ValueCountFrequency (%)
126.8012568 2
0.4%
126.80465 1
0.2%
126.810637 1
0.2%
126.821446 1
0.2%
126.823603 1
0.2%
126.8363263 1
0.2%
126.836492 1
0.2%
126.8377364 1
0.2%
126.838247 1
0.2%
126.844517 1
0.2%
ValueCountFrequency (%)
127.22263 1
0.2%
127.20676 1
0.2%
127.203768 1
0.2%
127.192636 2
0.4%
127.17588 2
0.4%
127.166995 1
0.2%
127.157632 1
0.2%
127.154033 1
0.2%
127.151921 1
0.2%
127.150601 1
0.2%

화장실소유구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
서울교통공사
301 
<NA>
253 

Length

Max length8
Median length8
Mean length6.1732852
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 서울교통공사
2nd row 서울교통공사
3rd row 서울교통공사
4th row 서울교통공사
5th row 서울교통공사

Common Values

ValueCountFrequency (%)
서울교통공사 301
54.3%
<NA> 253
45.7%

Length

2023-12-13T01:37:51.009189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:51.107097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울교통공사 301
54.3%
na 253
45.7%

화장실설치장소유형
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
역사 내 화장실
301 
<NA>
253 

Length

Max length10
Median length10
Mean length7.2599278
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 역사 내 화장실
2nd row 역사 내 화장실
3rd row 역사 내 화장실
4th row 역사 내 화장실
5th row 역사 내 화장실

Common Values

ValueCountFrequency (%)
역사 내 화장실 301
54.3%
<NA> 253
45.7%

Length

2023-12-13T01:37:51.478503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:51.577731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
역사 301
26.0%
내 301
26.0%
화장실 301
26.0%
na 253
21.9%

오물처리방식
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
수세식
301 
<NA>
253 

Length

Max length5
Median length5
Mean length4.5433213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 수세식
2nd row 수세식
3rd row 수세식
4th row 수세식
5th row 수세식

Common Values

ValueCountFrequency (%)
수세식 301
54.3%
<NA> 253
45.7%

Length

2023-12-13T01:37:51.669881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:51.811703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수세식 301
54.3%
na 253
45.7%

비상벨 설치유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing253
Missing (%)45.7%
Memory size1.2 KiB
True
301 
(Missing)
253 
ValueCountFrequency (%)
True 301
54.3%
(Missing) 253
45.7%
2023-12-13T01:37:51.911014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실입구cctv설치유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing253
Missing (%)45.7%
Memory size1.2 KiB
True
301 
(Missing)
253 
ValueCountFrequency (%)
True 301
54.3%
(Missing) 253
45.7%
2023-12-13T01:37:51.986223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대설치유무-남자화장실
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
253 
Y
154 
N
146 
Y
 
1

Length

Max length4
Median length1
Mean length2.3736462
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 253
45.7%
Y 154
27.8%
N 146
26.4%
Y 1
 
0.2%

Length

2023-12-13T01:37:52.088814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:52.197114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
45.7%
y 155
28.0%
n 146
26.4%

기저귀교환대설치유무-남자장애인화장실
Boolean

MISSING 

Distinct2
Distinct (%)0.7%
Missing253
Missing (%)45.7%
Memory size1.2 KiB
True
212 
False
89 
(Missing)
253 
ValueCountFrequency (%)
True 212
38.3%
False 89
 
16.1%
(Missing) 253
45.7%
2023-12-13T01:37:52.287385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대설치유무-여자화장실
Boolean

MISSING 

Distinct2
Distinct (%)0.7%
Missing253
Missing (%)45.7%
Memory size1.2 KiB
True
164 
False
137 
(Missing)
253 
ValueCountFrequency (%)
True 164
29.6%
False 137
24.7%
(Missing) 253
45.7%
2023-12-13T01:37:52.368966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대설치유무-여자장애인화장실
Boolean

MISSING 

Distinct2
Distinct (%)0.7%
Missing253
Missing (%)45.7%
Memory size1.2 KiB
True
219 
False
82 
(Missing)
253 
ValueCountFrequency (%)
True 219
39.5%
False 82
 
14.8%
(Missing) 253
45.7%
2023-12-13T01:37:52.451964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

리모델링년월
Categorical

Distinct18
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
253 
2008이전
70 
2009
45 
2010
36 
2012
 
17
Other values (13)
133 

Length

Max length8
Median length4
Mean length4.5054152
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2015
2nd row2013
3rd row2015
4th row 2008이전
5th row2010

Common Values

ValueCountFrequency (%)
<NA> 253
45.7%
2008이전 70
 
12.6%
2009 45
 
8.1%
2010 36
 
6.5%
2012 17
 
3.1%
2015 17
 
3.1%
2019 15
 
2.7%
2013 14
 
2.5%
2018 14
 
2.5%
2020 13
 
2.3%
Other values (8) 60
 
10.8%

Length

2023-12-13T01:37:52.574788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 253
45.7%
2008이전 70
 
12.6%
2009 45
 
8.1%
2010 36
 
6.5%
2012 17
 
3.1%
2015 17
 
3.1%
2019 15
 
2.7%
2013 14
 
2.5%
2018 14
 
2.5%
2020 13
 
2.3%
Other values (8) 60
 
10.8%

데이터기준일자
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-08-14
300 
<NA>
254 

Length

Max length10
Median length10
Mean length7.2490975
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-14
2nd row2023-08-14
3rd row2023-08-14
4th row2023-08-14
5th row2023-08-14

Common Values

ValueCountFrequency (%)
2023-08-14 300
54.2%
<NA> 254
45.8%

Length

2023-12-13T01:37:52.765860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:37:52.890106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-14 300
54.2%
na 254
45.8%

Sample

연번구분호선화장실명(역명)소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간화장실 상세위치화장실 상세위치(게이트 내외부)위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨 설치유무화장실입구cctv설치유무기저귀교환대설치유무-남자화장실기저귀교환대설치유무-남자장애인화장실기저귀교환대설치유무-여자화장실기저귀교환대설치유무-여자장애인화장실리모델링년월데이터기준일자
01공중화장실1서울(1)서울특별시 중구 봉래동2가 122 서울역(1호선)서울특별시 중구 봉래동2가N451<NA>2<NA>912서울교통공사02-6110-133105:00~24:00지하1층 2번출구 부근외부37.556878126.972578서울교통공사역사 내 화장실수세식YYYYYY20152023-08-14
12공중화장실1시청(1)서울특별시 중구 정동 5-5 시청역(1호선)서울특별시 중구 정동 5-5N651<NA>2<NA>1512서울교통공사02-6110-132105:00~24:00지하1층 5번출구 부근외부37.565682126.976849서울교통공사역사 내 화장실수세식YYYYYY20132023-08-14
23공중화장실1종각서울특별시 종로구 종로1가 54 종각지하철역사서울특별시 종로구 종로1가N321<NA>1<NA>611서울교통공사02-6110-131105:00~24:00지하1층 가게이트 부근 (연결통로 부근, 시청측)외부37.570175126.983226서울교통공사역사 내 화장실수세식YYYYYY20152023-08-14
34공중화장실1종각서울특별시 종로구 종로1가 54 종각지하철역사서울특별시 종로구 종로1가N551<NA><NA><NA>101<NA>서울교통공사02-6110-131105:00~24:00지하1층 다게이트 부근 (종로3가측)외부37.570175126.983226서울교통공사역사 내 화장실수세식YYYYYY2008이전2023-08-14
45공중화장실1종로3가(1)서울특별시 종로3가 10-5 1호선 종로3가역(1호선)서울특별시 종로3가 10-5N561<NA>1<NA>1211서울교통공사02-6110-130105:00~24:00지하1층 가게이트 부근외부37.57042126.992153서울교통공사역사 내 화장실수세식YYYYYY20102023-08-14
56공중화장실1종로3가(1)서울특별시 종로3가 10-5 1호선 종로3가역(1호선)서울특별시 종로3가 10-5N45<NA><NA><NA><NA>6<NA><NA>서울교통공사02-6110-130105:00~24:00지하1층 라게이트 부근 (역무실앞)내부37.57042126.992153서울교통공사역사 내 화장실수세식YYYNYN2008이전2023-08-14
67공중화장실1종로5가서울특별시 종로구 종로5가 82-1 1호선 종로5가역서울특별시 종로구 종로5가N441<NA>1<NA>811서울교통공사02-6110-129105:00~24:00지하1층 지하상가 연결통로앞외부37.571743127.011169서울교통공사역사 내 화장실수세식YYYYYY20142023-08-14
78공중화장실1동대문(1)서울특별시 종로구 창신동 492-1 1호선 동대문역(1호선)서울특별시 종로구 창신동 4N461<NA>2<NA>1211서울교통공사02-6110-128105:00~24:00지하1층 4번출입구 부근외부37.576087127.02456서울교통공사역사 내 화장실수세식YYYYYY20162023-08-14
89공중화장실1동묘앞(1)서울특별시 종로구 숭인동 117 동묘앞역(1호선)서울특별시 종로구 숭인동 1N121<NA><NA><NA>11<NA>서울교통공사02-6110-127105:00~24:001층 역무실 부근외부37.573281127.016649서울교통공사역사 내 화장실수세식YYYNYN2008이전2023-08-14
910공중화장실1동묘앞(1)서울특별시 종로구 숭인동 117 동묘앞역(1호선)서울특별시 종로구 숭인동 1N121<NA><NA><NA>61<NA>서울교통공사02-6110-127105:00~24:00지하1층 3번출입구 부근외부37.573281127.016649서울교통공사역사 내 화장실수세식YYYNYN2008이전2023-08-14
연번구분호선화장실명(역명)소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간화장실 상세위치화장실 상세위치(게이트 내외부)위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨 설치유무화장실입구cctv설치유무기저귀교환대설치유무-남자화장실기저귀교환대설치유무-남자장애인화장실기저귀교환대설치유무-여자화장실기저귀교환대설치유무-여자장애인화장실리모델링년월데이터기준일자
544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
545<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
548<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
549<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
550<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
551<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
552<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번구분호선화장실명(역명)소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간화장실 상세위치화장실 상세위치(게이트 내외부)위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨 설치유무화장실입구cctv설치유무기저귀교환대설치유무-남자화장실기저귀교환대설치유무-남자장애인화장실기저귀교환대설치유무-여자화장실기저귀교환대설치유무-여자장애인화장실리모델링년월데이터기준일자# duplicates
2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>221
1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>18
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14