Overview

Dataset statistics

Number of variables12
Number of observations391
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.7 KiB
Average record size in memory101.3 B

Variable types

Numeric3
Text2
Categorical7

Dataset

Description대전광역시 유성구 공중화장실 현황에 대한 데이터로 화장실이름, 주소, 관리부서, 시군구코드 등의 항목을 제공합니다.
Author대전광역시 유성구
URLhttps://www.data.go.kr/data/15108942/fileData.do

Alerts

관리부서 has constant value ""Constant
시도코드 has constant value ""Constant
시도이름 has constant value ""Constant
시군구코드 has constant value ""Constant
시군구이름 has constant value ""Constant
번호 is highly overall correlated with 법정동이름High correlation
행정동코드 is highly overall correlated with 법정동코드 and 2 other fieldsHigh correlation
법정동코드 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
행정동이름 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
법정동이름 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
번호 has unique valuesUnique
화장실이름 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:06:19.450380
Analysis finished2023-12-12 20:06:21.195551
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct391
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1107.4604
Minimum851
Maximum1353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T05:06:21.269277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum851
5-th percentile884.5
Q1985.5
median1108
Q31225.5
95-th percentile1332.5
Maximum1353
Range502
Interquartile range (IQR)240

Descriptive statistics

Standard deviation141.54757
Coefficient of variation (CV)0.12781277
Kurtosis-1.1158544
Mean1107.4604
Median Absolute Deviation (MAD)120
Skewness-0.0086949641
Sum433017
Variance20035.716
MonotonicityNot monotonic
2023-12-13T05:06:21.413023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
851 1
 
0.3%
1202 1
 
0.3%
1200 1
 
0.3%
1199 1
 
0.3%
1198 1
 
0.3%
1197 1
 
0.3%
1196 1
 
0.3%
1195 1
 
0.3%
1194 1
 
0.3%
1193 1
 
0.3%
Other values (381) 381
97.4%
ValueCountFrequency (%)
851 1
0.3%
852 1
0.3%
853 1
0.3%
855 1
0.3%
857 1
0.3%
858 1
0.3%
859 1
0.3%
860 1
0.3%
861 1
0.3%
866 1
0.3%
ValueCountFrequency (%)
1353 1
0.3%
1352 1
0.3%
1350 1
0.3%
1349 1
0.3%
1348 1
0.3%
1347 1
0.3%
1346 1
0.3%
1345 1
0.3%
1344 1
0.3%
1343 1
0.3%

화장실이름
Text

UNIQUE 

Distinct391
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T05:06:21.741138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length11.938619
Min length3

Characters and Unicode

Total characters4668
Distinct characters278
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique391 ?
Unique (%)100.0%

Sample

1st row구즉동주민센터 1층
2nd row봉산어린이공원
3rd row장성어린이공원
4th row암웨이프라자대전점
5th row대전유성경찰서 유성지구대
ValueCountFrequency (%)
1층 69
 
8.1%
2층 53
 
6.2%
유성구 47
 
5.5%
대전광역시 39
 
4.6%
3층 36
 
4.2%
국립대전현충원 24
 
2.8%
국립중앙과학관 15
 
1.8%
지하1층 13
 
1.5%
4층 13
 
1.5%
노은농수산물도매시장 12
 
1.4%
Other values (288) 534
62.5%
2023-12-13T05:06:22.190835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
464
 
9.9%
층 236
 
5.1%
관 153
 
3.3%
전 149
 
3.2%
대 132
 
2.8%
원 126
 
2.7%
1 118
 
2.5%
성 100
 
2.1%
유 98
 
2.1%
구 91
 
1.9%
Other values (268) 3001
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3859
82.7%
Space Separator 464
 
9.9%
Decimal Number 276
 
5.9%
Open Punctuation 25
 
0.5%
Close Punctuation 25
 
0.5%
Uppercase Letter 9
 
0.2%
Dash Punctuation 7
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 236
 
6.1%
관 153
 
4.0%
전 149
 
3.9%
대 132
 
3.4%
원 126
 
3.3%
성 100
 
2.6%
유 98
 
2.5%
구 91
 
2.4%
공 81
 
2.1%
터 73
 
1.9%
Other values (248) 2620
67.9%
Decimal Number
ValueCountFrequency (%)
1 118
42.8%
2 81
29.3%
3 50
18.1%
4 16
 
5.8%
9 5
 
1.8%
5 4
 
1.4%
7 1
 
0.4%
6 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
I 2
22.2%
A 1
11.1%
B 1
11.1%
L 1
11.1%
P 1
11.1%
G 1
11.1%
Space Separator
ValueCountFrequency (%)
464
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3859
82.7%
Common 800
 
17.1%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 236
 
6.1%
관 153
 
4.0%
전 149
 
3.9%
대 132
 
3.4%
원 126
 
3.3%
성 100
 
2.6%
유 98
 
2.5%
구 91
 
2.4%
공 81
 
2.1%
터 73
 
1.9%
Other values (248) 2620
67.9%
Common
ValueCountFrequency (%)
464
58.0%
1 118
 
14.8%
2 81
 
10.1%
3 50
 
6.2%
( 25
 
3.1%
) 25
 
3.1%
4 16
 
2.0%
- 7
 
0.9%
9 5
 
0.6%
5 4
 
0.5%
Other values (3) 5
 
0.6%
Latin
ValueCountFrequency (%)
C 2
22.2%
I 2
22.2%
A 1
11.1%
B 1
11.1%
L 1
11.1%
P 1
11.1%
G 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3859
82.7%
ASCII 809
 
17.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
464
57.4%
1 118
 
14.6%
2 81
 
10.0%
3 50
 
6.2%
( 25
 
3.1%
) 25
 
3.1%
4 16
 
2.0%
- 7
 
0.9%
9 5
 
0.6%
5 4
 
0.5%
Other values (10) 14
 
1.7%
Hangul
ValueCountFrequency (%)
층 236
 
6.1%
관 153
 
4.0%
전 149
 
3.9%
대 132
 
3.4%
원 126
 
3.3%
성 100
 
2.6%
유 98
 
2.5%
구 91
 
2.4%
공 81
 
2.1%
터 73
 
1.9%
Other values (248) 2620
67.9%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
대전광역시 유성구청
391 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 유성구청
2nd row대전광역시 유성구청
3rd row대전광역시 유성구청
4th row대전광역시 유성구청
5th row대전광역시 유성구청

Common Values

ValueCountFrequency (%)
대전광역시 유성구청 391
100.0%

Length

2023-12-13T05:06:22.322813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:22.415373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 391
50.0%
유성구청 391
50.0%

주소
Text

Distinct172
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T05:06:22.758523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length17.964194
Min length15

Characters and Unicode

Total characters7024
Distinct characters74
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

Unique110 ?
Unique (%)28.1%

Sample

1st row대전광역시 유성구 봉산동 294
2nd row대전광역시 유성구 봉산동 216
3rd row대전광역시 유성구 봉산동 186
4th row대전광역시 유성구 봉명동 692-5
5th row대전광역시 유성구 봉명동 676-1
ValueCountFrequency (%)
대전광역시 391
25.0%
유성구 391
25.0%
구성동 27
 
1.7%
봉명동 26
 
1.7%
갑동 25
 
1.6%
334-14 24
 
1.5%
노은동 24
 
1.5%
죽동 23
 
1.5%
송강동 21
 
1.3%
지족동 18
 
1.1%
Other values (204) 597
38.1%
2023-12-13T05:06:23.262075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1176
16.7%
구 434
 
6.2%
성 427
 
6.1%
대 412
 
5.9%
전 402
 
5.7%
광 391
 
5.6%
역 391
 
5.6%
시 391
 
5.6%
유 391
 
5.6%
동 391
 
5.6%
Other values (64) 2218
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4257
60.6%
Decimal Number 1352
 
19.2%
Space Separator 1176
 
16.7%
Dash Punctuation 239
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 434
10.2%
성 427
10.0%
대 412
9.7%
전 402
9.4%
광 391
9.2%
역 391
9.2%
시 391
9.2%
유 391
9.2%
동 391
9.2%
원 37
 
0.9%
Other values (52) 590
13.9%
Decimal Number
ValueCountFrequency (%)
1 244
18.0%
2 186
13.8%
3 168
12.4%
4 150
11.1%
6 147
10.9%
5 122
9.0%
0 110
8.1%
7 87
 
6.4%
9 78
 
5.8%
8 60
 
4.4%
Space Separator
ValueCountFrequency (%)
1176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4257
60.6%
Common 2767
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 434
10.2%
성 427
10.0%
대 412
9.7%
전 402
9.4%
광 391
9.2%
역 391
9.2%
시 391
9.2%
유 391
9.2%
동 391
9.2%
원 37
 
0.9%
Other values (52) 590
13.9%
Common
ValueCountFrequency (%)
1176
42.5%
1 244
 
8.8%
- 239
 
8.6%
2 186
 
6.7%
3 168
 
6.1%
4 150
 
5.4%
6 147
 
5.3%
5 122
 
4.4%
0 110
 
4.0%
7 87
 
3.1%
Other values (2) 138
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4257
60.6%
ASCII 2767
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1176
42.5%
1 244
 
8.8%
- 239
 
8.6%
2 186
 
6.7%
3 168
 
6.1%
4 150
 
5.4%
6 147
 
5.3%
5 122
 
4.4%
0 110
 
4.0%
7 87
 
3.1%
Other values (2) 138
 
5.0%
Hangul
ValueCountFrequency (%)
구 434
10.2%
성 427
10.0%
대 412
9.7%
전 402
9.4%
광 391
9.2%
역 391
9.2%
시 391
9.2%
유 391
9.2%
동 391
9.2%
원 37
 
0.9%
Other values (52) 590
13.9%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3000000000
391 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000000
2nd row3000000000
3rd row3000000000
4th row3000000000
5th row3000000000

Common Values

ValueCountFrequency (%)
3000000000 391
100.0%

Length

2023-12-13T05:06:23.391264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:23.485512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000000 391
100.0%

시도이름
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
대전광역시
391 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 391
100.0%

Length

2023-12-13T05:06:23.580803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:23.672358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 391
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3020000000
391 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000000
2nd row3020000000
3rd row3020000000
4th row3020000000
5th row3020000000

Common Values

ValueCountFrequency (%)
3020000000 391
100.0%

Length

2023-12-13T05:06:23.768181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:23.868872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000000 391
100.0%

시군구이름
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
유성구
391 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유성구 391
100.0%

Length

2023-12-13T05:06:23.963931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:24.072334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유성구 391
100.0%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0200549 × 109
Minimum3.020052 × 109
Maximum3.020061 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T05:06:24.185187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.020052 × 109
5-th percentile3.020052 × 109
Q13.020054 × 109
median3.0200546 × 109
Q33.020055 × 109
95-th percentile3.02006 × 109
Maximum3.020061 × 109
Range9000
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation2108.4815
Coefficient of variation (CV)6.9815999 × 10-7
Kurtosis0.75897488
Mean3.0200549 × 109
Median Absolute Deviation (MAD)600
Skewness1.0121613
Sum1.1808415 × 1012
Variance4445694.3
MonotonicityNot monotonic
2023-12-13T05:06:24.303487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3020054000 64
16.4%
3020055000 54
13.8%
3020054600 54
13.8%
3020052000 43
11.0%
3020053000 39
10.0%
3020054700 33
8.4%
3020057000 33
8.4%
3020058000 26
6.6%
3020060000 20
 
5.1%
3020054800 12
 
3.1%
Other values (2) 13
 
3.3%
ValueCountFrequency (%)
3020052000 43
11.0%
3020052700 7
 
1.8%
3020053000 39
10.0%
3020054000 64
16.4%
3020054600 54
13.8%
3020054700 33
8.4%
3020054800 12
 
3.1%
3020055000 54
13.8%
3020057000 33
8.4%
3020058000 26
6.6%
ValueCountFrequency (%)
3020061000 6
 
1.5%
3020060000 20
 
5.1%
3020058000 26
6.6%
3020057000 33
8.4%
3020055000 54
13.8%
3020054800 12
 
3.1%
3020054700 33
8.4%
3020054600 54
13.8%
3020054000 64
16.4%
3020053000 39
10.0%

행정동이름
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
온천2동
64 
신성동
54 
노은1동
54 
진잠동
43 
온천1동
39 
Other values (7)
137 

Length

Max length4
Median length4
Mean length3.5319693
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구즉동
2nd row구즉동
3rd row구즉동
4th row온천1동
5th row온천1동

Common Values

ValueCountFrequency (%)
온천2동 64
16.4%
신성동 54
13.8%
노은1동 54
13.8%
진잠동 43
11.0%
온천1동 39
10.0%
노은2동 33
8.4%
전민동 33
8.4%
구즉동 26
6.6%
관평동 20
 
5.1%
노은3동 12
 
3.1%
Other values (2) 13
 
3.3%

Length

2023-12-13T05:06:24.452609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온천2동 64
16.4%
신성동 54
13.8%
노은1동 54
13.8%
진잠동 43
11.0%
온천1동 39
10.0%
노은2동 33
8.4%
전민동 33
8.4%
구즉동 26
6.6%
관평동 20
 
5.1%
노은3동 12
 
3.1%
Other values (2) 13
 
3.3%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0200124 × 109
Minimum3.0200101 × 109
Maximum3.0200147 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T05:06:24.588357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0200101 × 109
5-th percentile3.0200102 × 109
Q13.0200117 × 109
median3.0200121 × 109
Q33.020013 × 109
95-th percentile3.0200147 × 109
Maximum3.0200147 × 109
Range4600
Interquartile range (IQR)1300

Descriptive statistics

Standard deviation1264.3803
Coefficient of variation (CV)4.1866725 × 10-7
Kurtosis-0.61688835
Mean3.0200124 × 109
Median Absolute Deviation (MAD)700
Skewness0.32204554
Sum1.1808248 × 1012
Variance1598657.5
MonotonicityNot monotonic
2023-12-13T05:06:24.742540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3020012400 27
 
6.9%
3020011100 26
 
6.6%
3020011800 25
 
6.4%
3020011900 24
 
6.1%
3020012100 23
 
5.9%
3020014700 21
 
5.4%
3020010100 18
 
4.6%
3020012000 18
 
4.6%
3020011200 15
 
3.8%
3020011700 14
 
3.6%
Other values (30) 180
46.0%
ValueCountFrequency (%)
3020010100 18
4.6%
3020010200 6
 
1.5%
3020010300 3
 
0.8%
3020010400 2
 
0.5%
3020010500 1
 
0.3%
3020010600 2
 
0.5%
3020010700 2
 
0.5%
3020011000 3
 
0.8%
3020011100 26
6.6%
3020011200 15
3.8%
ValueCountFrequency (%)
3020014700 21
5.4%
3020014600 14
3.6%
3020014500 5
 
1.3%
3020014300 6
 
1.5%
3020014200 11
2.8%
3020014100 11
2.8%
3020014000 11
2.8%
3020013900 6
 
1.5%
3020013800 1
 
0.3%
3020013700 1
 
0.3%

법정동이름
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
구성동
27 
봉명동
 
26
갑동
 
25
노은동
 
24
죽동
 
23
Other values (35)
266 

Length

Max length4
Median length3
Mean length2.8235294
Min length2

Unique

Unique6 ?
Unique (%)1.5%

Sample

1st row봉산동
2nd row봉산동
3rd row봉산동
4th row봉명동
5th row봉명동

Common Values

ValueCountFrequency (%)
구성동 27
 
6.9%
봉명동 26
 
6.6%
갑동 25
 
6.4%
노은동 24
 
6.1%
죽동 23
 
5.9%
송강동 21
 
5.4%
원내동 18
 
4.6%
지족동 18
 
4.6%
구암동 15
 
3.8%
가정동 14
 
3.6%
Other values (30) 180
46.0%

Length

2023-12-13T05:06:24.889573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구성동 27
 
6.9%
봉명동 26
 
6.6%
갑동 25
 
6.4%
노은동 24
 
6.1%
죽동 23
 
5.9%
송강동 21
 
5.4%
원내동 18
 
4.6%
지족동 18
 
4.6%
구암동 15
 
3.8%
장대동 14
 
3.6%
Other values (30) 180
46.0%

Interactions

2023-12-13T05:06:20.589466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.002100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.295657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.674287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.095361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.385824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.782326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.195415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:20.474428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:06:25.006335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동코드행정동이름법정동코드법정동이름
번호1.0000.7910.7980.8510.985
행정동코드0.7911.0001.0000.9670.994
행정동이름0.7981.0001.0000.9260.994
법정동코드0.8510.9670.9261.0001.000
법정동이름0.9850.9940.9941.0001.000
2023-12-13T05:06:25.104828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동이름법정동이름
행정동이름1.0000.898
법정동이름0.8981.000
2023-12-13T05:06:25.206281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동코드법정동코드행정동이름법정동이름
번호1.0000.1520.3050.4910.781
행정동코드0.1521.0000.8510.9950.917
법정동코드0.3050.8511.0000.7450.960
행정동이름0.4910.9950.7451.0000.898
법정동이름0.7810.9170.9600.8981.000

Missing values

2023-12-13T05:06:20.935250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:06:21.117712image/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

번호화장실이름관리부서주소시도코드시도이름시군구코드시군구이름행정동코드행정동이름법정동코드법정동이름
0851구즉동주민센터 1층대전광역시 유성구청대전광역시 유성구 봉산동 2943000000000대전광역시3020000000유성구3020058000구즉동3020014500봉산동
1852봉산어린이공원대전광역시 유성구청대전광역시 유성구 봉산동 2163000000000대전광역시3020000000유성구3020058000구즉동3020014500봉산동
2853장성어린이공원대전광역시 유성구청대전광역시 유성구 봉산동 1863000000000대전광역시3020000000유성구3020058000구즉동3020014500봉산동
3855암웨이프라자대전점대전광역시 유성구청대전광역시 유성구 봉명동 692-53000000000대전광역시3020000000유성구3020053000온천1동3020011100봉명동
4857대전유성경찰서 유성지구대대전광역시 유성구청대전광역시 유성구 봉명동 676-13000000000대전광역시3020000000유성구3020053000온천1동3020011100봉명동
5858대전광역시 상수도사업본부 유성사업소 4층대전광역시 유성구청대전광역시 유성구 봉명동 665-13000000000대전광역시3020000000유성구3020053000온천1동3020011100봉명동
6859대전광역시 상수도사업본부 유성사업소 3층대전광역시 유성구청대전광역시 유성구 봉명동 665-13000000000대전광역시3020000000유성구3020053000온천1동3020011100봉명동
7860대전광역시 상수도사업본부 유성사업소 2층대전광역시 유성구청대전광역시 유성구 봉명동 665-13000000000대전광역시3020000000유성구3020053000온천1동3020011100봉명동
8861대전광역시 상수도사업본부 유성사업소 1층대전광역시 유성구청대전광역시 유성구 봉명동 665-13000000000대전광역시3020000000유성구3020053000온천1동3020011100봉명동
9866상록빌딩대전광역시 유성구청대전광역시 유성구 봉명동 604-13000000000대전광역시3020000000유성구3020053000온천1동3020011100봉명동
번호화장실이름관리부서주소시도코드시도이름시군구코드시군구이름행정동코드행정동이름법정동코드법정동이름
3811343송강사회복지관 2층대전광역시 유성구청대전광역시 유성구 송강동 103000000000대전광역시3020000000유성구3020058000구즉동3020014700송강동
3821344송강사회복지관 1층대전광역시 유성구청대전광역시 유성구 송강동 103000000000대전광역시3020000000유성구3020058000구즉동3020014700송강동
3831345성북산림욕장-하대전광역시 유성구청대전광역시 유성구 성북동 산843000000000대전광역시3020000000유성구3020052000진잠동3020010700성북동
3841346성북산림욕장-상대전광역시 유성구청대전광역시 유성구 성북동 산72-33000000000대전광역시3020000000유성구3020052000진잠동3020010700성북동
3851347대전광역시 시립박물관 3층대전광역시 유성구청대전광역시 유성구 상대동 4883000000000대전광역시3020000000유성구3020052700상대동3020011500상대동
3861348대전광역시 시립박물관 1층대전광역시 유성구청대전광역시 유성구 상대동 4883000000000대전광역시3020000000유성구3020052700상대동3020011500상대동
3871349천년근린공원대전광역시 유성구청대전광역시 유성구 상대동 484-53000000000대전광역시3020000000유성구3020052700상대동3020011500상대동
3881350상대근린공원대전광역시 유성구청대전광역시 유성구 상대동 458-23000000000대전광역시3020000000유성구3020052700상대동3020011500상대동
3891352대전유성경찰서 구즉파출소대전광역시 유성구청대전광역시 유성구 봉산동 2963000000000대전광역시3020000000유성구3020058000구즉동3020014500봉산동
3901353구즉동주민센터 2층대전광역시 유성구청대전광역시 유성구 봉산동 2943000000000대전광역시3020000000유성구3020058000구즉동3020014500봉산동