Overview

Dataset statistics

Number of variables13
Number of observations4130
Missing cells2341
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory431.7 KiB
Average record size in memory107.0 B

Variable types

Text7
Categorical3
Numeric3

Dataset

Description시설명,시설코드,시설종류명(시설유형),시설종류상세명(시설종류),자치구(시)구분,시설장명,시군구코드,시군구명,시설주소,정원(수용인원),현인원,전화번호,우편번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20376/S/1/datasetView.do

Alerts

자치구(시)구분 has constant value ""Constant
시군구코드 is highly overall correlated with 시군구명High correlation
정원(수용인원) is highly overall correlated with 현인원High correlation
현인원 is highly overall correlated with 정원(수용인원)High correlation
시군구명 is highly overall correlated with 시군구코드High correlation
정원(수용인원) has 863 (20.9%) missing valuesMissing
현인원 has 1442 (34.9%) missing valuesMissing
정원(수용인원) is highly skewed (γ1 = 28.88644755)Skewed
시설코드 has unique valuesUnique
정원(수용인원) has 297 (7.2%) zerosZeros
현인원 has 112 (2.7%) zerosZeros

Reproduction

Analysis started2024-05-04 04:17:17.416937
Analysis finished2024-05-04 04:17:26.287309
Duration8.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct3863
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-05-04T04:17:26.895156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length9.8261501
Min length2

Characters and Unicode

Total characters40582
Distinct characters625
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3630 ?
Unique (%)87.9%

Sample

1st row서울꽃동네신내노인요양원
2nd row청운양로원
3rd row청운노인요양원
4th row홍파양로원
5th row천사노인요양원
ValueCountFrequency (%)
우리동네키움센터 161
 
3.1%
지역아동센터 43
 
0.8%
재가복지센터 36
 
0.7%
서울특별시 34
 
0.7%
방문요양센터 26
 
0.5%
데이케어센터 22
 
0.4%
재가노인복지센터 22
 
0.4%
송파키움센터 18
 
0.3%
중구 17
 
0.3%
집 15
 
0.3%
Other values (4061) 4782
92.4%
2024-05-04T04:17:28.091250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 2569
 
6.3%
센 2471
 
6.1%
지 1600
 
3.9%
동 1302
 
3.2%
1055
 
2.6%
복 940
 
2.3%
아 762
 
1.9%
양 762
 
1.9%
가 748
 
1.8%
원 720
 
1.8%
Other values (615) 27653
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38309
94.4%
Space Separator 1055
 
2.6%
Decimal Number 555
 
1.4%
Close Punctuation 178
 
0.4%
Open Punctuation 177
 
0.4%
Uppercase Letter 155
 
0.4%
Other Punctuation 61
 
0.2%
Lowercase Letter 60
 
0.1%
Math Symbol 23
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other values (4) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 2569
 
6.7%
센 2471
 
6.5%
지 1600
 
4.2%
동 1302
 
3.4%
복 940
 
2.5%
아 762
 
2.0%
양 762
 
2.0%
가 748
 
2.0%
원 720
 
1.9%
요 706
 
1.8%
Other values (549) 25729
67.2%
Uppercase Letter
ValueCountFrequency (%)
A 58
37.4%
C 17
 
11.0%
S 14
 
9.0%
B 9
 
5.8%
T 7
 
4.5%
R 6
 
3.9%
H 6
 
3.9%
O 5
 
3.2%
K 5
 
3.2%
E 5
 
3.2%
Other values (11) 23
 
14.8%
Lowercase Letter
ValueCountFrequency (%)
e 14
23.3%
o 8
13.3%
s 6
10.0%
a 5
 
8.3%
p 5
 
8.3%
i 4
 
6.7%
h 3
 
5.0%
n 3
 
5.0%
l 3
 
5.0%
d 2
 
3.3%
Other values (5) 7
11.7%
Decimal Number
ValueCountFrequency (%)
1 157
28.3%
2 149
26.8%
3 66
11.9%
5 43
 
7.7%
4 41
 
7.4%
0 31
 
5.6%
6 21
 
3.8%
7 18
 
3.2%
8 16
 
2.9%
9 13
 
2.3%
Other Punctuation
ValueCountFrequency (%)
' 40
65.6%
& 5
 
8.2%
; 4
 
6.6%
, 3
 
4.9%
. 3
 
4.9%
* 2
 
3.3%
? 2
 
3.3%
/ 1
 
1.6%
: 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
+ 15
65.2%
< 4
 
17.4%
> 4
 
17.4%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38309
94.4%
Common 2056
 
5.1%
Latin 216
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 2569
 
6.7%
센 2471
 
6.5%
지 1600
 
4.2%
동 1302
 
3.4%
복 940
 
2.5%
아 762
 
2.0%
양 762
 
2.0%
가 748
 
2.0%
원 720
 
1.9%
요 706
 
1.8%
Other values (549) 25729
67.2%
Latin
ValueCountFrequency (%)
A 58
26.9%
C 17
 
7.9%
e 14
 
6.5%
S 14
 
6.5%
B 9
 
4.2%
o 8
 
3.7%
T 7
 
3.2%
R 6
 
2.8%
s 6
 
2.8%
H 6
 
2.8%
Other values (27) 71
32.9%
Common
ValueCountFrequency (%)
1055
51.3%
) 178
 
8.7%
( 177
 
8.6%
1 157
 
7.6%
2 149
 
7.2%
3 66
 
3.2%
5 43
 
2.1%
4 41
 
2.0%
' 40
 
1.9%
0 31
 
1.5%
Other values (18) 119
 
5.8%
Han
ValueCountFrequency (%)
來 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38308
94.4%
ASCII 2271
 
5.6%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 2569
 
6.7%
센 2471
 
6.5%
지 1600
 
4.2%
동 1302
 
3.4%
복 940
 
2.5%
아 762
 
2.0%
양 762
 
2.0%
가 748
 
2.0%
원 720
 
1.9%
요 706
 
1.8%
Other values (548) 25728
67.2%
ASCII
ValueCountFrequency (%)
1055
46.5%
) 178
 
7.8%
( 177
 
7.8%
1 157
 
6.9%
2 149
 
6.6%
3 66
 
2.9%
A 58
 
2.6%
5 43
 
1.9%
4 41
 
1.8%
' 40
 
1.8%
Other values (54) 307
 
13.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK
ValueCountFrequency (%)
來 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

시설코드
Text

UNIQUE 

Distinct4130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-05-04T04:17:28.946715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.0363196
Min length4

Characters and Unicode

Total characters20800
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4130 ?
Unique (%)100.0%

Sample

1st rowA0001
2nd rowA0002
3rd rowA0003
4th rowA0004
5th rowA0007
ValueCountFrequency (%)
a0001 1
 
< 0.1%
g9498 1
 
< 0.1%
g9187 1
 
< 0.1%
g9191 1
 
< 0.1%
g9322 1
 
< 0.1%
g9194 1
 
< 0.1%
g9213 1
 
< 0.1%
g9219 1
 
< 0.1%
g9242 1
 
< 0.1%
g9254 1
 
< 0.1%
Other values (4120) 4120
99.8%
2024-05-04T04:17:30.310920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2381
11.4%
1 2093
10.1%
2 1716
8.2%
4 1583
 
7.6%
3 1579
 
7.6%
5 1524
 
7.3%
8 1518
 
7.3%
7 1458
 
7.0%
9 1456
 
7.0%
6 1362
 
6.5%
Other values (17) 4130
19.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16670
80.1%
Uppercase Letter 4130
 
19.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 947
22.9%
C 637
15.4%
K 487
11.8%
A 455
11.0%
P 442
10.7%
B 442
10.7%
F 261
 
6.3%
Z 193
 
4.7%
J 69
 
1.7%
W 58
 
1.4%
Other values (7) 139
 
3.4%
Decimal Number
ValueCountFrequency (%)
0 2381
14.3%
1 2093
12.6%
2 1716
10.3%
4 1583
9.5%
3 1579
9.5%
5 1524
9.1%
8 1518
9.1%
7 1458
8.7%
9 1456
8.7%
6 1362
8.2%

Most occurring scripts

ValueCountFrequency (%)
Common 16670
80.1%
Latin 4130
 
19.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 947
22.9%
C 637
15.4%
K 487
11.8%
A 455
11.0%
P 442
10.7%
B 442
10.7%
F 261
 
6.3%
Z 193
 
4.7%
J 69
 
1.7%
W 58
 
1.4%
Other values (7) 139
 
3.4%
Common
ValueCountFrequency (%)
0 2381
14.3%
1 2093
12.6%
2 1716
10.3%
4 1583
9.5%
3 1579
9.5%
5 1524
9.1%
8 1518
9.1%
7 1458
8.7%
9 1456
8.7%
6 1362
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2381
11.4%
1 2093
10.1%
2 1716
8.2%
4 1583
 
7.6%
3 1579
 
7.6%
5 1524
 
7.3%
8 1518
 
7.3%
7 1458
 
7.0%
9 1456
 
7.0%
6 1362
 
6.5%
Other values (17) 4130
19.9%

시설종류명(시설유형)
Text

Distinct100
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-05-04T04:17:30.998733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length13.140436
Min length9

Characters and Unicode

Total characters54270
Distinct characters146
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

Unique24 ?
Unique (%)0.6%

Sample

1st row(노인) 노인요양시설
2nd row(노인) 양로시설
3rd row(노인) 노인요양시설
4th row(노인) 양로시설
5th row(노인) 노인요양시설
ValueCountFrequency (%)
노인 2019
24.4%
재가노인복지시설 1245
15.1%
아동 935
11.3%
장애인 690
 
8.4%
지역아동센터 555
 
6.7%
노인요양공동생활가정 346
 
4.2%
다함께돌봄센터 278
 
3.4%
노인요양시설 250
 
3.0%
장애인공동생활가정 173
 
2.1%
정신보건 139
 
1.7%
Other values (105) 1630
19.7%
2024-05-04T04:17:32.091502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 5432
 
10.0%
( 4245
 
7.8%
) 4245
 
7.8%
4130
 
7.6%
노 4100
 
7.6%
지 2319
 
4.3%
동 2253
 
4.2%
시 2101
 
3.9%
설 2093
 
3.9%
가 2055
 
3.8%
Other values (136) 21297
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41553
76.6%
Open Punctuation 4245
 
7.8%
Close Punctuation 4245
 
7.8%
Space Separator 4130
 
7.6%
Dash Punctuation 92
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 5432
 
13.1%
노 4100
 
9.9%
지 2319
 
5.6%
동 2253
 
5.4%
시 2101
 
5.1%
설 2093
 
5.0%
가 2055
 
4.9%
아 1591
 
3.8%
복 1575
 
3.8%
장 1496
 
3.6%
Other values (131) 16538
39.8%
Open Punctuation
ValueCountFrequency (%)
( 4245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4245
100.0%
Space Separator
ValueCountFrequency (%)
4130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Other Punctuation
ValueCountFrequency (%)
? 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41553
76.6%
Common 12717
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 5432
 
13.1%
노 4100
 
9.9%
지 2319
 
5.6%
동 2253
 
5.4%
시 2101
 
5.1%
설 2093
 
5.0%
가 2055
 
4.9%
아 1591
 
3.8%
복 1575
 
3.8%
장 1496
 
3.6%
Other values (131) 16538
39.8%
Common
ValueCountFrequency (%)
( 4245
33.4%
) 4245
33.4%
4130
32.5%
- 92
 
0.7%
? 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41553
76.6%
ASCII 12717
 
23.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 5432
 
13.1%
노 4100
 
9.9%
지 2319
 
5.6%
동 2253
 
5.4%
시 2101
 
5.1%
설 2093
 
5.0%
가 2055
 
4.9%
아 1591
 
3.8%
복 1575
 
3.8%
장 1496
 
3.6%
Other values (131) 16538
39.8%
ASCII
ValueCountFrequency (%)
( 4245
33.4%
) 4245
33.4%
4130
32.5%
- 92
 
0.7%
? 5
 
< 0.1%

시설종류상세명(시설종류)
Categorical

Distinct36
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
재가노인복지시설
1245 
아동복지시설
935 
노인의료복지시설
596 
장애인거주시설
263 
장애인지역사회재활시설
247 
Other values (31)
844 

Length

Max length11
Median length8
Mean length7.5365617
Min length4

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row노인의료복지시설
2nd row노인주거복지시설
3rd row노인의료복지시설
4th row노인주거복지시설
5th row노인의료복지시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 1245
30.1%
아동복지시설 935
22.6%
노인의료복지시설 596
14.4%
장애인거주시설 263
 
6.4%
장애인지역사회재활시설 247
 
6.0%
장애인직업재활시설 146
 
3.5%
노인여가복지시설 116
 
2.8%
정신재활시설 114
 
2.8%
일반사회복지시설 102
 
2.5%
자활시설 31
 
0.8%
Other values (26) 335
 
8.1%

Length

2024-05-04T04:17:32.650280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재가노인복지시설 1245
30.1%
아동복지시설 935
22.6%
노인의료복지시설 596
14.4%
장애인거주시설 263
 
6.4%
장애인지역사회재활시설 247
 
6.0%
장애인직업재활시설 146
 
3.5%
노인여가복지시설 116
 
2.8%
정신재활시설 114
 
2.8%
일반사회복지시설 102
 
2.5%
자활시설 31
 
0.8%
Other values (26) 335
 
8.1%

자치구(시)구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
자치구
4130 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자치구 4130
100.0%

Length

2024-05-04T04:17:33.035837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:17:33.541346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치구 4130
100.0%

시설장명
Text

Distinct3070
Distinct (%)74.5%
Missing10
Missing (%)0.2%
Memory size32.4 KiB
2024-05-04T04:17:34.554542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0014563
Min length2

Characters and Unicode

Total characters12366
Distinct characters267
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2390 ?
Unique (%)58.0%

Sample

1st row최은숙
2nd row이종명
3rd row이종후
4th row김우리
5th row김샛별
ValueCountFrequency (%)
장동국 15
 
0.4%
재단테스트 12
 
0.3%
이경희 10
 
0.2%
김영문 9
 
0.2%
김지연 8
 
0.2%
김미경 8
 
0.2%
김영숙 8
 
0.2%
김진희 8
 
0.2%
김영희 8
 
0.2%
이현정 8
 
0.2%
Other values (3057) 4026
97.7%
2024-05-04T04:17:36.099880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 889
 
7.2%
이 652
 
5.3%
정 512
 
4.1%
영 442
 
3.6%
희 341
 
2.8%
박 332
 
2.7%
미 316
 
2.6%
숙 303
 
2.5%
경 302
 
2.4%
현 249
 
2.0%
Other values (257) 8028
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12351
99.9%
Space Separator 9
 
0.1%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 889
 
7.2%
이 652
 
5.3%
정 512
 
4.1%
영 442
 
3.6%
희 341
 
2.8%
박 332
 
2.7%
미 316
 
2.6%
숙 303
 
2.5%
경 302
 
2.4%
현 249
 
2.0%
Other values (254) 8013
64.9%
Decimal Number
ValueCountFrequency (%)
9 3
50.0%
2 3
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12351
99.9%
Common 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 889
 
7.2%
이 652
 
5.3%
정 512
 
4.1%
영 442
 
3.6%
희 341
 
2.8%
박 332
 
2.7%
미 316
 
2.6%
숙 303
 
2.5%
경 302
 
2.4%
현 249
 
2.0%
Other values (254) 8013
64.9%
Common
ValueCountFrequency (%)
9
60.0%
9 3
 
20.0%
2 3
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12351
99.9%
ASCII 15
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 889
 
7.2%
이 652
 
5.3%
정 512
 
4.1%
영 442
 
3.6%
희 341
 
2.8%
박 332
 
2.7%
미 316
 
2.6%
숙 303
 
2.5%
경 302
 
2.4%
현 249
 
2.0%
Other values (254) 8013
64.9%
ASCII
ValueCountFrequency (%)
9
60.0%
9 3
 
20.0%
2 3
 
20.0%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1438358 × 109
Minimum1.1 × 109
Maximum1.174 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2024-05-04T04:17:36.663897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1 × 109
5-th percentile1.117 × 109
Q11.1305 × 109
median1.144 × 109
Q31.159 × 109
95-th percentile1.171 × 109
Maximum1.174 × 109
Range74000000
Interquartile range (IQR)28500000

Descriptive statistics

Standard deviation17573464
Coefficient of variation (CV)0.015363624
Kurtosis-0.97790608
Mean1.1438358 × 109
Median Absolute Deviation (MAD)15000000
Skewness0.010537781
Sum4.724042 × 1012
Variance3.0882664 × 1014
MonotonicityNot monotonic
2024-05-04T04:17:37.330981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1135000000 268
 
6.5%
1150000000 253
 
6.1%
1138000000 234
 
5.7%
1126000000 219
 
5.3%
1171000000 219
 
5.3%
1162000000 199
 
4.8%
1132000000 198
 
4.8%
1174000000 185
 
4.5%
1147000000 184
 
4.5%
1159000000 179
 
4.3%
Other values (16) 1992
48.2%
ValueCountFrequency (%)
1100000000 24
 
0.6%
1111000000 81
 
2.0%
1114000000 73
 
1.8%
1117000000 66
 
1.6%
1120000000 102
2.5%
1121500000 122
3.0%
1123000000 151
3.7%
1126000000 219
5.3%
1129000000 179
4.3%
1130500000 177
4.3%
ValueCountFrequency (%)
1174000000 185
4.5%
1171000000 219
5.3%
1168000000 157
3.8%
1165000000 115
2.8%
1162000000 199
4.8%
1159000000 179
4.3%
1156000000 158
3.8%
1154500000 155
3.8%
1153000000 168
4.1%
1150000000 253
6.1%

시군구명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
노원구
 
268
강서구
 
253
은평구
 
234
중랑구
 
219
송파구
 
219
Other values (21)
2937 

Length

Max length5
Median length3
Mean length3.1029056
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중랑구
2nd row종로구
3rd row종로구
4th row노원구
5th row강서구

Common Values

ValueCountFrequency (%)
노원구 268
 
6.5%
강서구 253
 
6.1%
은평구 234
 
5.7%
중랑구 219
 
5.3%
송파구 219
 
5.3%
관악구 199
 
4.8%
도봉구 198
 
4.8%
강동구 185
 
4.5%
양천구 184
 
4.5%
동작구 179
 
4.3%
Other values (16) 1992
48.2%

Length

2024-05-04T04:17:38.142500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노원구 268
 
6.5%
강서구 253
 
6.1%
은평구 234
 
5.7%
중랑구 219
 
5.3%
송파구 219
 
5.3%
관악구 199
 
4.8%
도봉구 198
 
4.8%
강동구 185
 
4.5%
양천구 184
 
4.5%
동작구 179
 
4.3%
Other values (16) 1992
48.2%

시설주소
Text

Distinct3912
Distinct (%)95.1%
Missing16
Missing (%)0.4%
Memory size32.4 KiB
2024-05-04T04:17:39.213717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length56
Mean length29.479339
Min length4

Characters and Unicode

Total characters121278
Distinct characters521
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3752 ?
Unique (%)91.2%

Sample

1st row서울특별시 중랑구 신내로 194
2nd row서울특별시 종로구 비봉길 76 (구기동)
3rd row서울특별시 종로구 비봉길 76 (구기동)
4th row서울특별시 노원구 동일로248길 30 (상계동)
5th row서울특별시 강서구 강서로45다길 30-22
ValueCountFrequency (%)
서울특별시 4055
 
18.0%
2층 417
 
1.9%
3층 290
 
1.3%
노원구 266
 
1.2%
강서구 254
 
1.1%
1층 250
 
1.1%
은평구 231
 
1.0%
중랑구 217
 
1.0%
송파구 216
 
1.0%
4층 198
 
0.9%
Other values (5932) 16100
71.6%
2024-05-04T04:17:40.452175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18466
 
15.2%
서 4831
 
4.0%
동 4721
 
3.9%
구 4452
 
3.7%
1 4384
 
3.6%
시 4295
 
3.5%
로 4223
 
3.5%
울 4099
 
3.4%
별 4075
 
3.4%
특 4069
 
3.4%
Other values (511) 63663
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71260
58.8%
Decimal Number 20890
 
17.2%
Space Separator 18480
 
15.2%
Close Punctuation 3412
 
2.8%
Open Punctuation 3410
 
2.8%
Other Punctuation 2595
 
2.1%
Dash Punctuation 975
 
0.8%
Uppercase Letter 144
 
0.1%
Math Symbol 73
 
0.1%
Lowercase Letter 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 4831
 
6.8%
동 4721
 
6.6%
구 4452
 
6.2%
시 4295
 
6.0%
로 4223
 
5.9%
울 4099
 
5.8%
별 4075
 
5.7%
특 4069
 
5.7%
길 2463
 
3.5%
층 2073
 
2.9%
Other values (450) 31959
44.8%
Uppercase Letter
ValueCountFrequency (%)
B 66
45.8%
A 18
 
12.5%
S 9
 
6.2%
C 8
 
5.6%
I 6
 
4.2%
J 4
 
2.8%
T 4
 
2.8%
E 4
 
2.8%
F 3
 
2.1%
G 3
 
2.1%
Other values (11) 19
 
13.2%
Lowercase Letter
ValueCountFrequency (%)
e 7
18.9%
s 7
18.9%
t 4
10.8%
h 3
8.1%
a 2
 
5.4%
o 2
 
5.4%
l 2
 
5.4%
w 2
 
5.4%
p 2
 
5.4%
u 1
 
2.7%
Other values (5) 5
13.5%
Decimal Number
ValueCountFrequency (%)
1 4384
21.0%
2 3499
16.7%
3 2630
12.6%
4 2066
9.9%
0 2033
9.7%
5 1642
 
7.9%
6 1376
 
6.6%
7 1156
 
5.5%
9 1054
 
5.0%
8 1050
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 2559
98.6%
. 23
 
0.9%
/ 11
 
0.4%
@ 1
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
18466
99.9%
　 14
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3411
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3409
> 99.9%
[ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 975
100.0%
Math Symbol
ValueCountFrequency (%)
~ 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71260
58.8%
Common 49835
41.1%
Latin 183
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 4831
 
6.8%
동 4721
 
6.6%
구 4452
 
6.2%
시 4295
 
6.0%
로 4223
 
5.9%
울 4099
 
5.8%
별 4075
 
5.7%
특 4069
 
5.7%
길 2463
 
3.5%
층 2073
 
2.9%
Other values (450) 31959
44.8%
Latin
ValueCountFrequency (%)
B 66
36.1%
A 18
 
9.8%
S 9
 
4.9%
C 8
 
4.4%
e 7
 
3.8%
s 7
 
3.8%
I 6
 
3.3%
J 4
 
2.2%
T 4
 
2.2%
t 4
 
2.2%
Other values (28) 50
27.3%
Common
ValueCountFrequency (%)
18466
37.1%
1 4384
 
8.8%
2 3499
 
7.0%
) 3411
 
6.8%
( 3409
 
6.8%
3 2630
 
5.3%
, 2559
 
5.1%
4 2066
 
4.1%
0 2033
 
4.1%
5 1642
 
3.3%
Other values (13) 5736
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71260
58.8%
ASCII 50002
41.2%
None 14
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18466
36.9%
1 4384
 
8.8%
2 3499
 
7.0%
) 3411
 
6.8%
( 3409
 
6.8%
3 2630
 
5.3%
, 2559
 
5.1%
4 2066
 
4.1%
0 2033
 
4.1%
5 1642
 
3.3%
Other values (48) 5903
 
11.8%
Hangul
ValueCountFrequency (%)
서 4831
 
6.8%
동 4721
 
6.6%
구 4452
 
6.2%
시 4295
 
6.0%
로 4223
 
5.9%
울 4099
 
5.8%
별 4075
 
5.7%
특 4069
 
5.7%
길 2463
 
3.5%
층 2073
 
2.9%
Other values (450) 31959
44.8%
None
ValueCountFrequency (%)
　 14
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

정원(수용인원)
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct200
Distinct (%)6.1%
Missing863
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean59.567187
Minimum0
Maximum18000
Zeros297
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2024-05-04T04:17:40.865879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median20
Q335
95-th percentile119
Maximum18000
Range18000
Interquartile range (IQR)26

Descriptive statistics

Standard deviation460.30642
Coefficient of variation (CV)7.7275165
Kurtosis971.95487
Mean59.567187
Median Absolute Deviation (MAD)11
Skewness28.886448
Sum194606
Variance211882
MonotonicityNot monotonic
2024-05-04T04:17:41.295879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 352
 
8.5%
0 297
 
7.2%
20 185
 
4.5%
4 160
 
3.9%
19 134
 
3.2%
30 122
 
3.0%
25 120
 
2.9%
29 115
 
2.8%
10 110
 
2.7%
7 97
 
2.3%
Other values (190) 1575
38.1%
(Missing) 863
20.9%
ValueCountFrequency (%)
0 297
7.2%
1 7
 
0.2%
2 5
 
0.1%
3 5
 
0.1%
4 160
3.9%
5 28
 
0.7%
6 29
 
0.7%
7 97
 
2.3%
8 50
 
1.2%
9 352
8.5%
ValueCountFrequency (%)
18000 1
< 0.1%
13000 1
< 0.1%
10140 1
< 0.1%
4500 1
< 0.1%
3448 1
< 0.1%
3000 1
< 0.1%
2500 1
< 0.1%
2300 1
< 0.1%
2000 1
< 0.1%
1986 1
< 0.1%

현인원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct307
Distinct (%)11.4%
Missing1442
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean198.85119
Minimum0
Maximum21600
Zeros112
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2024-05-04T04:17:41.671168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median21
Q340
95-th percentile700
Maximum21600
Range21600
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1165.9589
Coefficient of variation (CV)5.8634747
Kurtosis185.56309
Mean198.85119
Median Absolute Deviation (MAD)13
Skewness12.556341
Sum534512
Variance1359460.2
MonotonicityNot monotonic
2024-05-04T04:17:42.087903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 240
 
5.8%
4 152
 
3.7%
0 112
 
2.7%
10 87
 
2.1%
20 85
 
2.1%
21 75
 
1.8%
30 69
 
1.7%
19 63
 
1.5%
29 59
 
1.4%
15 59
 
1.4%
Other values (297) 1687
40.8%
(Missing) 1442
34.9%
ValueCountFrequency (%)
0 112
2.7%
1 15
 
0.4%
2 17
 
0.4%
3 46
 
1.1%
4 152
3.7%
5 40
 
1.0%
6 45
 
1.1%
7 47
 
1.1%
8 49
 
1.2%
9 240
5.8%
ValueCountFrequency (%)
21600 1
< 0.1%
20980 1
< 0.1%
18800 1
< 0.1%
18448 1
< 0.1%
18000 2
< 0.1%
14332 1
< 0.1%
12512 1
< 0.1%
10140 1
< 0.1%
8580 2
< 0.1%
8052 1
< 0.1%

전화번호
Text

Distinct3786
Distinct (%)91.9%
Missing9
Missing (%)0.2%
Memory size32.4 KiB
2024-05-04T04:17:42.740794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.528027
Min length1

Characters and Unicode

Total characters43386
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

Unique3536 ?
Unique (%)85.8%

Sample

1st row02-490-2609
2nd row02-379-9232
3rd row02-3217-0057
4th row02-939-0735
5th row02-2602-2443
ValueCountFrequency (%)
070-7163-0907 15
 
0.4%
02-3665-3831 8
 
0.2%
023051868 6
 
0.1%
024021005 6
 
0.1%
025770091 5
 
0.1%
02-000-0000 5
 
0.1%
02-2290-3100 4
 
0.1%
028389993 4
 
0.1%
028888833 4
 
0.1%
0233904084 4
 
0.1%
Other values (3776) 4060
98.5%
2024-05-04T04:17:44.018980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7889
18.2%
2 7214
16.6%
- 4311
9.9%
3 3382
7.8%
9 3232
7.4%
8 3036
 
7.0%
6 2950
 
6.8%
7 2917
 
6.7%
1 2890
 
6.7%
4 2787
 
6.4%
Other values (2) 2778
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39062
90.0%
Dash Punctuation 4311
 
9.9%
Close Punctuation 13
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7889
20.2%
2 7214
18.5%
3 3382
8.7%
9 3232
8.3%
8 3036
 
7.8%
6 2950
 
7.6%
7 2917
 
7.5%
1 2890
 
7.4%
4 2787
 
7.1%
5 2765
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 4311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7889
18.2%
2 7214
16.6%
- 4311
9.9%
3 3382
7.8%
9 3232
7.4%
8 3036
 
7.0%
6 2950
 
6.8%
7 2917
 
6.7%
1 2890
 
6.7%
4 2787
 
6.4%
Other values (2) 2778
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7889
18.2%
2 7214
16.6%
- 4311
9.9%
3 3382
7.8%
9 3232
7.4%
8 3036
 
7.0%
6 2950
 
6.8%
7 2917
 
6.7%
1 2890
 
6.7%
4 2787
 
6.4%
Other values (2) 2778
 
6.4%

우편번호
Text

Distinct2207
Distinct (%)53.5%
Missing1
Missing (%)< 0.1%
Memory size32.4 KiB
2024-05-04T04:17:45.118401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0731412
Min length3

Characters and Unicode

Total characters20947
Distinct characters15
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

Unique1289 ?
Unique (%)31.2%

Sample

1st row02052
2nd row03001
3rd row03001
4th row01623
5th row07704
ValueCountFrequency (%)
131600 20
 
0.5%
06908 19
 
0.5%
03428 17
 
0.4%
157650 14
 
0.3%
151600 13
 
0.3%
02182 13
 
0.3%
07438 12
 
0.3%
138600 11
 
0.3%
02535 11
 
0.3%
08771 10
 
0.2%
Other values (2196) 3989
96.6%
2024-05-04T04:17:46.384991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5435
25.9%
1 2078
 
9.9%
3 2026
 
9.7%
7 1848
 
8.8%
2 1821
 
8.7%
6 1755
 
8.4%
8 1743
 
8.3%
5 1739
 
8.3%
4 1498
 
7.2%
9 998
 
4.8%
Other values (5) 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20941
> 99.9%
Other Letter 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5435
26.0%
1 2078
 
9.9%
3 2026
 
9.7%
7 1848
 
8.8%
2 1821
 
8.7%
6 1755
 
8.4%
8 1743
 
8.3%
5 1739
 
8.3%
4 1498
 
7.2%
9 998
 
4.8%
Other Letter
ValueCountFrequency (%)
서 1
33.3%
울 1
33.3%
특 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20944
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5435
26.0%
1 2078
 
9.9%
3 2026
 
9.7%
7 1848
 
8.8%
2 1821
 
8.7%
6 1755
 
8.4%
8 1743
 
8.3%
5 1739
 
8.3%
4 1498
 
7.2%
9 998
 
4.8%
Other values (2) 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
서 1
33.3%
울 1
33.3%
특 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20944
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5435
26.0%
1 2078
 
9.9%
3 2026
 
9.7%
7 1848
 
8.8%
2 1821
 
8.7%
6 1755
 
8.4%
8 1743
 
8.3%
5 1739
 
8.3%
4 1498
 
7.2%
9 998
 
4.8%
Other values (2) 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
서 1
33.3%
울 1
33.3%
특 1
33.3%

Interactions

2024-05-04T04:17:23.455661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:20.984388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:22.030113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:23.744003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:21.318890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:22.339525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:24.058635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:21.654637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:17:22.657186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T04:17:46.664387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류명(시설유형)시설종류상세명(시설종류)시군구코드시군구명정원(수용인원)현인원
시설종류명(시설유형)1.0001.0000.3500.5280.4880.521
시설종류상세명(시설종류)1.0001.0000.2750.3960.2780.346
시군구코드0.3500.2751.0001.0000.0000.000
시군구명0.5280.3961.0001.0000.0000.000
정원(수용인원)0.4880.2780.0000.0001.0000.788
현인원0.5210.3460.0000.0000.7881.000
2024-05-04T04:17:46.969149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류상세명(시설종류)시군구명
시설종류상세명(시설종류)1.0000.101
시군구명0.1011.000
2024-05-04T04:17:47.625808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드정원(수용인원)현인원시설종류상세명(시설종류)시군구명
시군구코드1.000-0.0140.0170.1370.998
정원(수용인원)-0.0141.0000.6000.1230.000
현인원0.0170.6001.0000.1350.000
시설종류상세명(시설종류)0.1370.1230.1351.0000.101
시군구명0.9980.0000.0000.1011.000

Missing values

2024-05-04T04:17:24.598785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T04:17:25.424458image/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.
2024-05-04T04:17:25.986336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
0서울꽃동네신내노인요양원A0001(노인) 노인요양시설노인의료복지시설자치구최은숙1126000000중랑구서울특별시 중랑구 신내로 19423423402-490-260902052
1청운양로원A0002(노인) 양로시설노인주거복지시설자치구이종명1111000000종로구서울특별시 종로구 비봉길 76 (구기동)575002-379-923203001
2청운노인요양원A0003(노인) 노인요양시설노인의료복지시설자치구이종후1111000000종로구서울특별시 종로구 비봉길 76 (구기동)454502-3217-005703001
3홍파양로원A0004(노인) 양로시설노인주거복지시설자치구김우리1135000000노원구서울특별시 노원구 동일로248길 30 (상계동)443202-939-073501623
4천사노인요양원A0007(노인) 노인요양시설노인의료복지시설자치구김샛별1150000000강서구서울특별시 강서구 강서로45다길 30-2216115102-2602-244307704
5서울특별시립 남부노인전문요양원A0016(노인) 노인요양시설노인의료복지시설자치구한철수1156000000영등포구경기도 군포시 고산로 589190188031-390-100315820
6혜명양로원A0019(노인) 양로시설노인주거복지시설자치구채명석1154500000금천구서울특별시 금천구 금하로29길 36(시흥동)645502-802-676508656
7시립고덕양로원A0098(노인) 양로시설노인주거복지시설자치구박기아1174000000강동구서울특별시 강동구 고덕로 199(고덕동)1248702-441-888605235
8노인요양센터 인영실버A0099(노인) 노인요양시설노인의료복지시설자치구이희법1154500000금천구서울특별시 금천구 금하로 596-0968402-804-614108632
9동명노인복지센타A0100(노인) 노인요양시설노인의료복지시설자치구김병한1162000000관악구서울특별시 관악구 봉천로23라길 15(봉천동)909002-875-2770151829
시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
4120어린이집_테스트02Z6280(기타) 기타시설기타시설자치구홍길순9991100000000서울특별시9999<NA><NA>9999999<NA>
4121용산구장애인가족지원센터Z6291(장애인) (기타)장애인복지시설장애인기타자치구정정애1117000000용산구서울특별시 용산구 백범로 329용산보건분소 4층 (원효로1가)<NA><NA>02-798-993504316
4122강감찬관악종합사회복지관Z6294(일반) 사회복지관일반사회복지시설자치구한미경1162000000관악구서울특별시 관악구 양녕로74 (봉천동)<NA><NA>02-886-994108729
4123종로발달장애인평생교육센터Z6295(장애인) (기타)장애인복지시설장애인기타자치구신건철1111000000종로구서울특별시 종로구 종로17길 8 (종로2가)30<NA>02942222303140
4124영등포구 발달장애인평생교육센터Z6300(장애인) (기타)장애인복지시설장애인기타자치구박미진1156000000영등포구서울특별시 영등포구 문래북로 1055~7층, 어울림센터 (당산동1가)<NA><NA>0103180021607292
4125강남발달장애인평생교육센터Z6325(장애인) (기타)장애인복지시설장애인기타자치구김미현1168000000강남구서울특별시 강남구 논현로86길 21, 2층 (역삼동)24<NA>0704354470106220
4126도봉발달장애인 평생교육센터Z6399(장애인) (기타)장애인복지시설장애인기타자치구성효진1132000000도봉구서울특별시 도봉구 마들로 703, 4~6층 (도봉동)30<NA>02955797901327
4127염리종합사회복지관Z6469(일반) 사회복지관일반사회복지시설자치구최상진1144000000마포구서울특별시 마포구 대흥로24길 50 (염리동)<NA><NA>02-3276-180304123
4128서초1인가구지원센터Z6475(기타) 기타시설기타시설자치구엄준1165000000서초구서울특별시 서초구 사평대로 273, 4층 (반포동)<NA><NA>022155828306544
4129용산구 발달장애인 평생교육센터Z6509(장애인) (기타)장애인복지시설장애인기타자치구엄재홍1117000000용산구서울특별시 용산구 백범로329, 4~5층 (원효로1가)30<NA>0102315773704316