Overview

Dataset statistics

Number of variables7
Number of observations727
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.6 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description인천광역시 소재 사회복지시설 현황에 대한 데이터로 시설종류, 기관명, 주소, 전화번호 등에 대한 정보를 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15045181

Alerts

연번 is highly overall correlated with 관련법령High correlation
관련법령 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:11:16.115998
Analysis finished2024-01-28 11:11:16.868991
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct727
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364
Minimum1
Maximum727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-01-28T20:11:16.937112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.3
Q1182.5
median364
Q3545.5
95-th percentile690.7
Maximum727
Range726
Interquartile range (IQR)363

Descriptive statistics

Standard deviation210.01111
Coefficient of variation (CV)0.5769536
Kurtosis-1.2
Mean364
Median Absolute Deviation (MAD)182
Skewness0
Sum264628
Variance44104.667
MonotonicityStrictly increasing
2024-01-28T20:11:17.045681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
479 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
484 1
 
0.1%
485 1
 
0.1%
486 1
 
0.1%
487 1
 
0.1%
488 1
 
0.1%
Other values (717) 717
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
727 1
0.1%
726 1
0.1%
725 1
0.1%
724 1
0.1%
723 1
0.1%
722 1
0.1%
721 1
0.1%
720 1
0.1%
719 1
0.1%
718 1
0.1%

관련법령
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
아동복지법
240 
장애인복지법
199 
노인복지법
111 
정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률
31 
사회복지사업법
28 
Other values (16)
118 

Length

Max length30
Median length23
Mean length7.7895461
Min length5

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
아동복지법 240
33.0%
장애인복지법 199
27.4%
노인복지법 111
15.3%
정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률 31
 
4.3%
사회복지사업법 28
 
3.9%
식품등기부활성화에 관한 법률 26
 
3.6%
가정폭력방지및피해자보호등에관한 법률 15
 
2.1%
국민기초생활보장법 12
 
1.7%
청소년복지지원법 10
 
1.4%
건강가정기본법 9
 
1.2%
Other values (11) 46
 
6.3%

Length

2024-01-28T20:11:17.152743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동복지법 240
24.0%
장애인복지법 199
19.9%
노인복지법 111
11.1%
법률 84
 
8.4%
관한 59
 
5.9%
및 32
 
3.2%
지원에 32
 
3.2%
정신건강증진 31
 
3.1%
정신질환자 31
 
3.1%
복지서비스 31
 
3.1%
Other values (21) 150
15.0%

시설종류
Text

Distinct67
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-01-28T20:11:17.319842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.392022
Min length4

Characters and Unicode

Total characters5374
Distinct characters124
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)3.3%

Sample

1st row광역자활센터(유사)
2nd row지역자활센터
3rd row지역자활센터
4th row지역자활센터
5th row지역자활센터
ValueCountFrequency (%)
지역아동센터 175
22.8%
장애인공동생활가정 43
 
5.6%
유사시설 41
 
5.4%
주간보호시설 41
 
5.4%
장애인직업재활시설 38
 
5.0%
노인대학(노인교실 31
 
4.0%
푸드뱅크 27
 
3.5%
·푸드마켓 27
 
3.5%
노인복지관 24
 
3.1%
다함께돌봄센터 22
 
2.9%
Other values (61) 297
38.8%
2024-01-28T20:11:17.607210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 336
 
6.3%
인 293
 
5.5%
동 270
 
5.0%
시 268
 
5.0%
설 267
 
5.0%
터 240
 
4.5%
센 225
 
4.2%
아 216
 
4.0%
역 190
 
3.5%
노 148
 
2.8%
Other values (114) 2921
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5172
96.2%
Close Punctuation 60
 
1.1%
Open Punctuation 60
 
1.1%
Space Separator 39
 
0.7%
Other Punctuation 38
 
0.7%
Decimal Number 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 336
 
6.5%
인 293
 
5.7%
동 270
 
5.2%
시 268
 
5.2%
설 267
 
5.2%
터 240
 
4.6%
센 225
 
4.4%
아 216
 
4.2%
역 190
 
3.7%
노 148
 
2.9%
Other values (105) 2719
52.6%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
3 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
· 29
76.3%
, 9
 
23.7%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5172
96.2%
Common 202
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 336
 
6.5%
인 293
 
5.7%
동 270
 
5.2%
시 268
 
5.2%
설 267
 
5.2%
터 240
 
4.6%
센 225
 
4.4%
아 216
 
4.2%
역 190
 
3.7%
노 148
 
2.9%
Other values (105) 2719
52.6%
Common
ValueCountFrequency (%)
) 60
29.7%
( 60
29.7%
39
19.3%
· 29
14.4%
, 9
 
4.5%
6 2
 
1.0%
+ 1
 
0.5%
3 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5172
96.2%
ASCII 173
 
3.2%
None 29
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 336
 
6.5%
인 293
 
5.7%
동 270
 
5.2%
시 268
 
5.2%
설 267
 
5.2%
터 240
 
4.6%
센 225
 
4.4%
아 216
 
4.2%
역 190
 
3.7%
노 148
 
2.9%
Other values (105) 2719
52.6%
ASCII
ValueCountFrequency (%)
) 60
34.7%
( 60
34.7%
39
22.5%
, 9
 
5.2%
6 2
 
1.2%
+ 1
 
0.6%
3 1
 
0.6%
1 1
 
0.6%
None
ValueCountFrequency (%)
· 29
100.0%

시설명
Text

Distinct719
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-01-28T20:11:17.852150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length8.0618982
Min length2

Characters and Unicode

Total characters5861
Distinct characters398
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique711 ?
Unique (%)97.8%

Sample

1st row인천광역자활센터
2nd row중구지역자활센터
3rd row동구지역자활센터
4th row희망지역자활센터
5th row미추홀지역자활센터
ValueCountFrequency (%)
다함께돌봄센터 19
 
2.2%
남동구 11
 
1.3%
집 6
 
0.7%
아이함께자람터 6
 
0.7%
서구 5
 
0.6%
청소년단기쉼터 4
 
0.5%
구립 4
 
0.5%
미추홀구 4
 
0.5%
행복한 4
 
0.5%
연수구 3
 
0.4%
Other values (747) 788
92.3%
2024-01-28T20:11:18.211690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 247
 
4.2%
터 231
 
3.9%
센 198
 
3.4%
지 164
 
2.8%
147
 
2.5%
구 140
 
2.4%
동 119
 
2.0%
가 103
 
1.8%
복 99
 
1.7%
원 98
 
1.7%
Other values (388) 4315
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5559
94.8%
Space Separator 147
 
2.5%
Decimal Number 71
 
1.2%
Lowercase Letter 26
 
0.4%
Close Punctuation 17
 
0.3%
Open Punctuation 17
 
0.3%
Uppercase Letter 16
 
0.3%
Other Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 247
 
4.4%
터 231
 
4.2%
센 198
 
3.6%
지 164
 
3.0%
구 140
 
2.5%
동 119
 
2.1%
가 103
 
1.9%
복 99
 
1.8%
원 98
 
1.8%
호 90
 
1.6%
Other values (349) 4070
73.2%
Lowercase Letter
ValueCountFrequency (%)
i 5
19.2%
o 4
15.4%
l 3
11.5%
e 3
11.5%
s 2
 
7.7%
d 1
 
3.8%
m 1
 
3.8%
v 1
 
3.8%
y 1
 
3.8%
p 1
 
3.8%
Other values (4) 4
15.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
18.8%
M 2
12.5%
N 2
12.5%
K 1
 
6.2%
C 1
 
6.2%
T 1
 
6.2%
B 1
 
6.2%
H 1
 
6.2%
P 1
 
6.2%
W 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
2 24
33.8%
1 23
32.4%
3 12
16.9%
4 5
 
7.0%
5 4
 
5.6%
6 3
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3
37.5%
· 2
25.0%
' 2
25.0%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5559
94.8%
Common 260
 
4.4%
Latin 42
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 247
 
4.4%
터 231
 
4.2%
센 198
 
3.6%
지 164
 
3.0%
구 140
 
2.5%
동 119
 
2.1%
가 103
 
1.9%
복 99
 
1.8%
원 98
 
1.8%
호 90
 
1.6%
Other values (349) 4070
73.2%
Latin
ValueCountFrequency (%)
i 5
 
11.9%
o 4
 
9.5%
l 3
 
7.1%
e 3
 
7.1%
S 3
 
7.1%
M 2
 
4.8%
N 2
 
4.8%
s 2
 
4.8%
d 1
 
2.4%
K 1
 
2.4%
Other values (16) 16
38.1%
Common
ValueCountFrequency (%)
147
56.5%
2 24
 
9.2%
1 23
 
8.8%
) 17
 
6.5%
( 17
 
6.5%
3 12
 
4.6%
4 5
 
1.9%
5 4
 
1.5%
6 3
 
1.2%
. 3
 
1.2%
Other values (3) 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5559
94.8%
ASCII 300
 
5.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 247
 
4.4%
터 231
 
4.2%
센 198
 
3.6%
지 164
 
3.0%
구 140
 
2.5%
동 119
 
2.1%
가 103
 
1.9%
복 99
 
1.8%
원 98
 
1.8%
호 90
 
1.6%
Other values (349) 4070
73.2%
ASCII
ValueCountFrequency (%)
147
49.0%
2 24
 
8.0%
1 23
 
7.7%
) 17
 
5.7%
( 17
 
5.7%
3 12
 
4.0%
i 5
 
1.7%
4 5
 
1.7%
o 4
 
1.3%
5 4
 
1.3%
Other values (28) 42
 
14.0%
None
ValueCountFrequency (%)
· 2
100.0%

군구명
Categorical

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
부평구
120 
남동구
116 
미추홀구
105 
서구
97 
계양구
80 
Other values (11)
209 

Length

Max length5
Median length3
Mean length2.9284732
Min length1

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row인천시
2nd row중구
3rd row동구
4th row미추홀구
5th row미추홀구

Common Values

ValueCountFrequency (%)
부평구 120
16.5%
남동구 116
16.0%
미추홀구 105
14.4%
서구 97
13.3%
계양구 80
11.0%
연수구 67
9.2%
강화군 51
7.0%
중구 36
 
5.0%
동구 32
 
4.4%
옹진군 8
 
1.1%
Other values (6) 15
 
2.1%

Length

2024-01-28T20:11:18.322752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남동구 122
16.8%
부평구 120
16.5%
미추홀구 105
14.4%
서구 101
13.9%
계양구 82
11.3%
연수구 67
9.2%
강화군 51
7.0%
중구 36
 
4.9%
동구 32
 
4.4%
옹진군 8
 
1.1%
Other values (4) 4
 
0.5%

주소
Text

Distinct666
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-01-28T20:11:18.557653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length15.555708
Min length3

Characters and Unicode

Total characters11309
Distinct characters301
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique622 ?
Unique (%)85.6%

Sample

1st row남동구 용천로 208
2nd row중구 제물량로 132-2
3rd row동구 송림로 78,5층(송림동)
4th row미추홀구 송림로 249, 4층
5th row미추홀구 인주대로 493, 3층
ValueCountFrequency (%)
2층 70
 
3.3%
3층 36
 
1.7%
경인로 19
 
0.9%
길상면 15
 
0.7%
미추홀구 14
 
0.7%
용천로 14
 
0.7%
강화읍 13
 
0.6%
1층 13
 
0.6%
남동구 13
 
0.6%
10 13
 
0.6%
Other values (1194) 1891
89.6%
2024-01-28T20:11:18.947153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1411
 
12.5%
로 683
 
6.0%
1 654
 
5.8%
2 564
 
5.0%
동 421
 
3.7%
3 388
 
3.4%
길 387
 
3.4%
) 360
 
3.2%
( 359
 
3.2%
번 332
 
2.9%
Other values (291) 5750
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5408
47.8%
Decimal Number 3318
29.3%
Space Separator 1411
 
12.5%
Close Punctuation 360
 
3.2%
Open Punctuation 359
 
3.2%
Other Punctuation 262
 
2.3%
Dash Punctuation 177
 
1.6%
Uppercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 683
 
12.6%
동 421
 
7.8%
길 387
 
7.2%
번 332
 
6.1%
층 178
 
3.3%
구 113
 
2.1%
인 85
 
1.6%
대 84
 
1.6%
호 76
 
1.4%
산 71
 
1.3%
Other values (268) 2978
55.1%
Decimal Number
ValueCountFrequency (%)
1 654
19.7%
2 564
17.0%
3 388
11.7%
0 302
9.1%
4 288
8.7%
5 251
 
7.6%
6 244
 
7.4%
7 232
 
7.0%
8 223
 
6.7%
9 172
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 255
97.3%
/ 4
 
1.5%
& 1
 
0.4%
@ 1
 
0.4%
· 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
H 3
21.4%
L 3
21.4%
A 3
21.4%
Space Separator
ValueCountFrequency (%)
1411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 360
100.0%
Open Punctuation
ValueCountFrequency (%)
( 359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5887
52.1%
Hangul 5408
47.8%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 683
 
12.6%
동 421
 
7.8%
길 387
 
7.2%
번 332
 
6.1%
층 178
 
3.3%
구 113
 
2.1%
인 85
 
1.6%
대 84
 
1.6%
호 76
 
1.4%
산 71
 
1.3%
Other values (268) 2978
55.1%
Common
ValueCountFrequency (%)
1411
24.0%
1 654
11.1%
2 564
 
9.6%
3 388
 
6.6%
) 360
 
6.1%
( 359
 
6.1%
0 302
 
5.1%
4 288
 
4.9%
, 255
 
4.3%
5 251
 
4.3%
Other values (9) 1055
17.9%
Latin
ValueCountFrequency (%)
B 5
35.7%
H 3
21.4%
L 3
21.4%
A 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5900
52.2%
Hangul 5408
47.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1411
23.9%
1 654
11.1%
2 564
 
9.6%
3 388
 
6.6%
) 360
 
6.1%
( 359
 
6.1%
0 302
 
5.1%
4 288
 
4.9%
, 255
 
4.3%
5 251
 
4.3%
Other values (12) 1068
18.1%
Hangul
ValueCountFrequency (%)
로 683
 
12.6%
동 421
 
7.8%
길 387
 
7.2%
번 332
 
6.1%
층 178
 
3.3%
구 113
 
2.1%
인 85
 
1.6%
대 84
 
1.6%
호 76
 
1.4%
산 71
 
1.3%
Other values (268) 2978
55.1%
None
ValueCountFrequency (%)
· 1
100.0%

연락처
Text

Distinct680
Distinct (%)94.1%
Missing4
Missing (%)0.6%
Memory size5.8 KiB
2024-01-28T20:11:19.149862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.052559
Min length11

Characters and Unicode

Total characters8714
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique648 ?
Unique (%)89.6%

Sample

1st row032-437-4051
2nd row032-763-1988
3rd row032-761-0766
4th row032-867-8414
5th row032-888-0231
ValueCountFrequency (%)
032-503-8516 5
 
0.7%
032-540-8904 4
 
0.6%
032-937-8691 4
 
0.6%
032-886-4880 3
 
0.4%
032-511-1377 3
 
0.4%
032-886-1366 3
 
0.4%
032-426-1382 3
 
0.4%
032-514-0450 2
 
0.3%
032-763-9337 2
 
0.3%
032-575-7156 2
 
0.3%
Other values (670) 692
95.7%
2024-01-28T20:11:19.460442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1446
16.6%
0 1260
14.5%
2 1179
13.5%
3 1178
13.5%
5 640
7.3%
7 584
6.7%
8 546
 
6.3%
4 525
 
6.0%
1 524
 
6.0%
6 478
 
5.5%
Other values (3) 354
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7265
83.4%
Dash Punctuation 1446
 
16.6%
Space Separator 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1260
17.3%
2 1179
16.2%
3 1178
16.2%
5 640
8.8%
7 584
8.0%
8 546
7.5%
4 525
7.2%
1 524
7.2%
6 478
 
6.6%
9 351
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 1446
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1446
16.6%
0 1260
14.5%
2 1179
13.5%
3 1178
13.5%
5 640
7.3%
7 584
6.7%
8 546
 
6.3%
4 525
 
6.0%
1 524
 
6.0%
6 478
 
5.5%
Other values (3) 354
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1446
16.6%
0 1260
14.5%
2 1179
13.5%
3 1178
13.5%
5 640
7.3%
7 584
6.7%
8 546
 
6.3%
4 525
 
6.0%
1 524
 
6.0%
6 478
 
5.5%
Other values (3) 354
 
4.1%

Interactions

2024-01-28T20:11:16.638654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:11:19.542003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관련법령시설종류군구명
연번1.0000.9140.9800.493
관련법령0.9141.0000.9960.313
시설종류0.9800.9961.0000.835
군구명0.4930.3130.8351.000
2024-01-28T20:11:19.614886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구명관련법령
군구명1.0000.101
관련법령0.1011.000
2024-01-28T20:11:19.682329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관련법령군구명
연번1.0000.6460.216
관련법령0.6461.0000.101
군구명0.2160.1011.000

Missing values

2024-01-28T20:11:16.745272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:11:16.835024image/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

연번관련법령시설종류시설명군구명주소연락처
01국민기초생활보장법광역자활센터(유사)인천광역자활센터인천시남동구 용천로 208032-437-4051
12국민기초생활보장법지역자활센터중구지역자활센터중구중구 제물량로 132-2032-763-1988
23국민기초생활보장법지역자활센터동구지역자활센터동구동구 송림로 78,5층(송림동)032-761-0766
34국민기초생활보장법지역자활센터희망지역자활센터미추홀구미추홀구 송림로 249, 4층032-867-8414
45국민기초생활보장법지역자활센터미추홀지역자활센터미추홀구미추홀구 인주대로 493, 3층032-888-0231
56국민기초생활보장법지역자활센터연수지역자활센터연수구연수구 청명로3번길 8-5032-816-1995
67국민기초생활보장법지역자활센터남동지역자활센터남동구남동구 만수로 12-6032-422-4318
78국민기초생활보장법지역자활센터부평지역자활센터부평구부평구 후정동로 6, 3층032-291-7400
89국민기초생활보장법지역자활센터부평남부지역자활센터부평구부평구 후정동로 6, 2층032-291-3500
910국민기초생활보장법지역자활센터계양지역자활센터계양구계양구 계양산로102번길 5032-543-3370
연번관련법령시설종류시설명군구명주소연락처
717718정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설계양구정신건강복지센터계양구장기서로 8032-547-7087
718719정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설서구정신건강복지센터서구탁옥로 39032-718-0625
719720정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설강화군정신건강복지센터강화군충렬사로 26-1032-930-4077
720721정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설옹진군정신건강복지센터옹진군미추홀구 매소홀로 120 옹진군보건소 3층032-721-0560
721722정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설동구중독관리통합지원센터동구송림로113 2층032-764-1183
722723정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설연수구중독관리통합지원센터연수구연수구 앵고개로 183 남부수도사업소 2층032-236-9477
723724정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설남동구중독관리통합지원센터남동구남동대로922번길 52, 5층032-468-6412
724725정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설부평구중독관리통합지원센터부평구부평구 마장로 410번길 5 청천동 주민센터 3층032-507-3404
725726정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설계양구중독관리통합지원센터계양구계양구 계양로 126 계양구의회청사1층032-555-8765
726727정신건강증진 및 정신질환자 복지서비스 지원에 관한 법률정신건강증진시설인천광역시자살예방센터남동구남동대로 774번길 24 가천뇌과학연구원 5층032-468-9917