Overview

Dataset statistics

Number of variables6
Number of observations64
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory52.1 B

Variable types

Text4
Numeric2

Dataset

Description기관명,기관연락처,기관주소,홈페이지,위치(위도),위치(경도)
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2560/S/1/datasetView.do

Alerts

기관연락처 has 1 (1.6%) missing valuesMissing
홈페이지 has 1 (1.6%) missing valuesMissing
기관명 has unique valuesUnique
기관주소 has unique valuesUnique

Reproduction

Analysis started2024-05-11 07:46:10.019787
Analysis finished2024-05-11 07:46:13.289721
Duration3.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T07:46:13.846993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18.5
Mean length11.515625
Min length7

Characters and Unicode

Total characters737
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st rowAI 양재 허브
2nd row강동50플러스센터
3rd row강동여성인력개발센터
4th row강북50플러스센터
5th row강북여성인력개발센터
ValueCountFrequency (%)
서울시50플러스 5
 
6.0%
서울시 4
 
4.8%
서울시민대학 3
 
3.6%
한국폴리텍대학 2
 
2.4%
중부캠퍼스 2
 
2.4%
남부캠퍼스 2
 
2.4%
중부?남부기술교육원 2
 
2.4%
서울시여성가족재단 1
 
1.2%
서울시패션제조지원센터(서울창신솔루션앵커 1
 
1.2%
서울시패션제조지원센터(서울성북솔루션앵커 1
 
1.2%
Other values (61) 61
72.6%
2024-05-11T07:46:16.325641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 42
 
5.7%
센 42
 
5.7%
서 39
 
5.3%
울 30
 
4.1%
스 30
 
4.1%
성 28
 
3.8%
여 24
 
3.3%
발 23
 
3.1%
시 22
 
3.0%
21
 
2.8%
Other values (109) 436
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 662
89.8%
Decimal Number 38
 
5.2%
Space Separator 21
 
2.8%
Close Punctuation 6
 
0.8%
Open Punctuation 6
 
0.8%
Other Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 42
 
6.3%
센 42
 
6.3%
서 39
 
5.9%
울 30
 
4.5%
스 30
 
4.5%
성 28
 
4.2%
여 24
 
3.6%
발 23
 
3.5%
시 22
 
3.3%
부 19
 
2.9%
Other values (100) 363
54.8%
Decimal Number
ValueCountFrequency (%)
0 19
50.0%
5 18
47.4%
4 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 662
89.8%
Common 73
 
9.9%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 42
 
6.3%
센 42
 
6.3%
서 39
 
5.9%
울 30
 
4.5%
스 30
 
4.5%
성 28
 
4.2%
여 24
 
3.6%
발 23
 
3.5%
시 22
 
3.3%
부 19
 
2.9%
Other values (100) 363
54.8%
Common
ValueCountFrequency (%)
21
28.8%
0 19
26.0%
5 18
24.7%
) 6
 
8.2%
( 6
 
8.2%
? 2
 
2.7%
4 1
 
1.4%
Latin
ValueCountFrequency (%)
A 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 662
89.8%
ASCII 75
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 42
 
6.3%
센 42
 
6.3%
서 39
 
5.9%
울 30
 
4.5%
스 30
 
4.5%
성 28
 
4.2%
여 24
 
3.6%
발 23
 
3.5%
시 22
 
3.3%
부 19
 
2.9%
Other values (100) 363
54.8%
ASCII
ValueCountFrequency (%)
21
28.0%
0 19
25.3%
5 18
24.0%
) 6
 
8.0%
( 6
 
8.0%
? 2
 
2.7%
A 1
 
1.3%
I 1
 
1.3%
4 1
 
1.3%

기관연락처
Text

MISSING 

Distinct63
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size644.0 B
2024-05-11T07:46:17.233415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.777778
Min length11

Characters and Unicode

Total characters742
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row02-6953-6845
2nd row02-3425-9368
3rd row070-4837-3249
4th row070-7791-1208
5th row070-4048-6579
ValueCountFrequency (%)
02-6953-6845 1
 
1.6%
02-6929-0011 1
 
1.6%
070-4304-6912 1
 
1.6%
02-460-5260 1
 
1.6%
02-6482-7503 1
 
1.6%
02-442-6826 1
 
1.6%
02-852-7137 1
 
1.6%
02-739-4465 1
 
1.6%
02-997-6552 1
 
1.6%
02-810-5450 1
 
1.6%
Other values (53) 53
84.1%
2024-05-11T07:46:18.849056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
20.2%
- 126
17.0%
2 104
14.0%
4 59
 
8.0%
6 54
 
7.3%
3 48
 
6.5%
5 46
 
6.2%
9 45
 
6.1%
7 44
 
5.9%
1 38
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 616
83.0%
Dash Punctuation 126
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
24.4%
2 104
16.9%
4 59
 
9.6%
6 54
 
8.8%
3 48
 
7.8%
5 46
 
7.5%
9 45
 
7.3%
7 44
 
7.1%
1 38
 
6.2%
8 28
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 742
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
20.2%
- 126
17.0%
2 104
14.0%
4 59
 
8.0%
6 54
 
7.3%
3 48
 
6.5%
5 46
 
6.2%
9 45
 
6.1%
7 44
 
5.9%
1 38
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
20.2%
- 126
17.0%
2 104
14.0%
4 59
 
8.0%
6 54
 
7.3%
3 48
 
6.5%
5 46
 
6.2%
9 45
 
6.1%
7 44
 
5.9%
1 38
 
5.1%

기관주소
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T07:46:19.934684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length20.640625
Min length10

Characters and Unicode

Total characters1321
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row서울시 서초구 태봉로 108 AI 교육 센터
2nd row서울특별시 강동구 올림픽로 752
3rd row서울특별시 강동구 양재대로 1458
4th row서울특별시 강북구 오현로9길 49
5th row서울특별시 강북구 덕릉로 108(미아동)
ValueCountFrequency (%)
서울특별시 47
 
16.5%
서울시 13
 
4.6%
강동구 5
 
1.8%
마포구 5
 
1.8%
노원구 4
 
1.4%
금천구 4
 
1.4%
강서구 4
 
1.4%
중구 3
 
1.1%
종로구 3
 
1.1%
동작구 3
 
1.1%
Other values (169) 194
68.1%
2024-05-11T07:46:21.628051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
 
17.0%
서 77
 
5.8%
시 65
 
4.9%
울 65
 
4.9%
구 64
 
4.8%
로 61
 
4.6%
별 49
 
3.7%
특 48
 
3.6%
1 44
 
3.3%
2 36
 
2.7%
Other values (163) 587
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 846
64.0%
Space Separator 225
 
17.0%
Decimal Number 220
 
16.7%
Other Punctuation 8
 
0.6%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Dash Punctuation 6
 
0.5%
Uppercase Letter 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 77
 
9.1%
시 65
 
7.7%
울 65
 
7.7%
구 64
 
7.6%
로 61
 
7.2%
별 49
 
5.8%
특 48
 
5.7%
동 28
 
3.3%
길 27
 
3.2%
대 15
 
1.8%
Other values (143) 347
41.0%
Decimal Number
ValueCountFrequency (%)
1 44
20.0%
2 36
16.4%
3 29
13.2%
6 18
8.2%
5 18
8.2%
7 18
8.2%
4 17
 
7.7%
0 16
 
7.3%
8 14
 
6.4%
9 10
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
I 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
? 1
 
12.5%
Space Separator
ValueCountFrequency (%)
225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 846
64.0%
Common 472
35.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 77
 
9.1%
시 65
 
7.7%
울 65
 
7.7%
구 64
 
7.6%
로 61
 
7.2%
별 49
 
5.8%
특 48
 
5.7%
동 28
 
3.3%
길 27
 
3.2%
대 15
 
1.8%
Other values (143) 347
41.0%
Common
ValueCountFrequency (%)
225
47.7%
1 44
 
9.3%
2 36
 
7.6%
3 29
 
6.1%
6 18
 
3.8%
5 18
 
3.8%
7 18
 
3.8%
4 17
 
3.6%
0 16
 
3.4%
8 14
 
3.0%
Other values (7) 37
 
7.8%
Latin
ValueCountFrequency (%)
B 1
33.3%
I 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 846
64.0%
ASCII 475
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
47.4%
1 44
 
9.3%
2 36
 
7.6%
3 29
 
6.1%
6 18
 
3.8%
5 18
 
3.8%
7 18
 
3.8%
4 17
 
3.6%
0 16
 
3.4%
8 14
 
2.9%
Other values (10) 40
 
8.4%
Hangul
ValueCountFrequency (%)
서 77
 
9.1%
시 65
 
7.7%
울 65
 
7.7%
구 64
 
7.6%
로 61
 
7.2%
별 49
 
5.8%
특 48
 
5.7%
동 28
 
3.3%
길 27
 
3.2%
대 15
 
1.8%
Other values (143) 347
41.0%

홈페이지
Text

MISSING 

Distinct63
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size644.0 B
2024-05-11T07:46:22.667445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length38
Mean length30.761905
Min length15

Characters and Unicode

Total characters1938
Distinct characters43
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st rowhttps://ai-yangjae.kr/
2nd rowhttps://50plus.or.kr/gdc
3rd rowhttp://gd.seoulwomanup.or.kr
4th rowhttps://www.50plus.or.kr/gbc/index.do
5th rowhttps://gangbuk.seoulwomanup.or.kr
ValueCountFrequency (%)
https://sll.seoul.go.kr/main/htmlpage/dohtmlpageview.do?pageno=23&mnid=2 2
 
3.2%
https://ai-yangjae.kr 1
 
1.6%
https://seocho.seoulwomanup.or.kr 1
 
1.6%
https://50plus.or.kr/sch/index.do 1
 
1.6%
https://www.50plus.or.kr/dsc 1
 
1.6%
http://sfsc-gangdong.or.kr 1
 
1.6%
http://smile.seoul.kr/program/moduschool/intro.do 1
 
1.6%
http://sssc.or.kr 1
 
1.6%
https://seoulwomen.or.kr 1
 
1.6%
https://blog.naver.com/2seoulbike 1
 
1.6%
Other values (52) 52
82.5%
2024-05-11T07:46:24.151481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 183
 
9.4%
/ 183
 
9.4%
o 154
 
7.9%
s 136
 
7.0%
t 121
 
6.2%
r 117
 
6.0%
w 104
 
5.4%
p 103
 
5.3%
u 84
 
4.3%
k 70
 
3.6%
Other values (33) 683
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1443
74.5%
Other Punctuation 427
 
22.0%
Decimal Number 47
 
2.4%
Uppercase Letter 12
 
0.6%
Math Symbol 4
 
0.2%
Dash Punctuation 3
 
0.2%
Space Separator 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 154
 
10.7%
s 136
 
9.4%
t 121
 
8.4%
r 117
 
8.1%
w 104
 
7.2%
p 103
 
7.1%
u 84
 
5.8%
k 70
 
4.9%
h 68
 
4.7%
n 68
 
4.7%
Other values (14) 418
29.0%
Uppercase Letter
ValueCountFrequency (%)
P 4
33.3%
H 2
16.7%
V 2
16.7%
N 2
16.7%
I 1
 
8.3%
S 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 183
42.9%
/ 183
42.9%
: 57
 
13.3%
? 2
 
0.5%
& 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 20
42.6%
5 18
38.3%
2 6
 
12.8%
3 2
 
4.3%
6 1
 
2.1%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1455
75.1%
Common 483
 
24.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 154
 
10.6%
s 136
 
9.3%
t 121
 
8.3%
r 117
 
8.0%
w 104
 
7.1%
p 103
 
7.1%
u 84
 
5.8%
k 70
 
4.8%
h 68
 
4.7%
n 68
 
4.7%
Other values (20) 430
29.6%
Common
ValueCountFrequency (%)
. 183
37.9%
/ 183
37.9%
: 57
 
11.8%
0 20
 
4.1%
5 18
 
3.7%
2 6
 
1.2%
= 4
 
0.8%
- 3
 
0.6%
2
 
0.4%
? 2
 
0.4%
Other values (3) 5
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 183
 
9.4%
/ 183
 
9.4%
o 154
 
7.9%
s 136
 
7.0%
t 121
 
6.2%
r 117
 
6.0%
w 104
 
5.4%
p 103
 
5.3%
u 84
 
4.3%
k 70
 
3.6%
Other values (33) 683
35.2%

위치(위도)
Real number (ℝ)

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.547702
Minimum37.36614
Maximum37.656104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T07:46:24.906390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.36614
5-th percentile37.463694
Q137.516633
median37.54913
Q337.578453
95-th percentile37.642718
Maximum37.656104
Range0.2899644
Interquartile range (IQR)0.061819275

Descriptive statistics

Standard deviation0.05637905
Coefficient of variation (CV)0.0015015313
Kurtosis0.65452969
Mean37.547702
Median Absolute Deviation (MAD)0.0320775
Skewness-0.32456737
Sum2403.053
Variance0.0031785973
MonotonicityNot monotonic
2024-05-11T07:46:25.456238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5467066 2
 
3.1%
37.5481916 1
 
1.6%
37.5545414 1
 
1.6%
37.5576795 1
 
1.6%
37.4785377 1
 
1.6%
37.5713456 1
 
1.6%
37.6473713 1
 
1.6%
37.5115646 1
 
1.6%
37.564311 1
 
1.6%
37.4525741 1
 
1.6%
Other values (53) 53
82.8%
ValueCountFrequency (%)
37.3661397 1
1.6%
37.4525741 1
1.6%
37.46193 1
1.6%
37.4631387 1
1.6%
37.4668411 1
1.6%
37.4674715 1
1.6%
37.4726115 1
1.6%
37.4785377 1
1.6%
37.479634 1
1.6%
37.4834988 1
1.6%
ValueCountFrequency (%)
37.6561041 1
1.6%
37.6553134 1
1.6%
37.6473713 1
1.6%
37.6428108 1
1.6%
37.6421907 1
1.6%
37.6346156 1
1.6%
37.6264297 1
1.6%
37.6187295 1
1.6%
37.6073535 1
1.6%
37.6070999 1
1.6%

위치(경도)
Real number (ℝ)

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98538
Minimum126.82996
Maximum127.17006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T07:46:25.991957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82996
5-th percentile126.84376
Q1126.92984
median126.97816
Q3127.04833
95-th percentile127.13566
Maximum127.17006
Range0.340097
Interquartile range (IQR)0.11849575

Descriptive statistics

Standard deviation0.084948823
Coefficient of variation (CV)0.00066896536
Kurtosis-0.65727034
Mean126.98538
Median Absolute Deviation (MAD)0.0596679
Skewness0.07871596
Sum8127.0645
Variance0.0072163025
MonotonicityNot monotonic
2024-05-11T07:46:26.495585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.949952 2
 
3.1%
127.127117 1
 
1.6%
127.137166 1
 
1.6%
127.17006 1
 
1.6%
126.907173 1
 
1.6%
126.965884 1
 
1.6%
127.034345 1
 
1.6%
126.927128 1
 
1.6%
126.97372 1
 
1.6%
126.900379 1
 
1.6%
Other values (53) 53
82.8%
ValueCountFrequency (%)
126.829963 1
1.6%
126.84225 1
1.6%
126.842754 1
1.6%
126.843529 1
1.6%
126.845079 1
1.6%
126.851396 1
1.6%
126.851963 1
1.6%
126.888822 1
1.6%
126.890025 1
1.6%
126.894424 1
1.6%
ValueCountFrequency (%)
127.17006 1
1.6%
127.145362 1
1.6%
127.139587 1
1.6%
127.137166 1
1.6%
127.127117 1
1.6%
127.118729 1
1.6%
127.078878 1
1.6%
127.076499 1
1.6%
127.070704 1
1.6%
127.066715 1
1.6%

Interactions

2024-05-11T07:46:11.387877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:46:10.883218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:46:11.661550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:46:11.142766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T07:46:26.909075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명기관연락처기관주소홈페이지위치(위도)위치(경도)
기관명1.0001.0001.0001.0001.0001.000
기관연락처1.0001.0001.0001.0001.0001.000
기관주소1.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.000
위치(위도)1.0001.0001.0001.0001.0000.356
위치(경도)1.0001.0001.0001.0000.3561.000
2024-05-11T07:46:27.242050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치(위도)위치(경도)
위치(위도)1.0000.351
위치(경도)0.3511.000

Missing values

2024-05-11T07:46:12.233704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T07:46:12.732740image/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.
2024-05-11T07:46:13.088066image/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

기관명기관연락처기관주소홈페이지위치(위도)위치(경도)
0AI 양재 허브02-6953-6845서울시 서초구 태봉로 108 AI 교육 센터https://ai-yangjae.kr/37.466841127.028195
1강동50플러스센터02-3425-9368서울특별시 강동구 올림픽로 752https://50plus.or.kr/gdc37.548192127.127117
2강동여성인력개발센터070-4837-3249서울특별시 강동구 양재대로 1458http://gd.seoulwomanup.or.kr37.535924127.139587
3강북50플러스센터070-7791-1208서울특별시 강북구 오현로9길 49https://www.50plus.or.kr/gbc/index.do37.61873127.033358
4강북여성인력개발센터070-4048-6579서울특별시 강북구 덕릉로 108(미아동)https://gangbuk.seoulwomanup.or.kr37.634616127.025616
5강서50플러스센터02-6295-5064서울 강서구 강서로56가길 166 경동미르웰양천향교2차 203동, B1, 1층, 2층https://www.50plus.or.kr/gsc/index.do37.566522126.84225
6강서여성인력개발센터070-4048-6339서울특별시 강서구 까치산로134 화곡빌딩https://gangseo.seoulwomanup.or.kr/37.549272126.851396
7관악여성인력개발센터070-4048-7022서울특별시 관악구 쑥고개로 75https://www.kwoman.or.kr37.479634126.944921
8구로여성인력개발센터070-4048-6654서울특별시 구로구 공원로63 희훈타워빌2층https://www.gurowoman.com/37.501975126.888822
9금천50플러스센터070-4129-7493서울특별시 금천구 범안로17길 22https://50plus.or.kr/gch/index.do37.467472126.894424
기관명기관연락처기관주소홈페이지위치(위도)위치(경도)
54영등포50플러스센터02-2635-5060서울특별시 여의대방로 372https://www.50plus.or.kr/ydp/index.do37.518117126.930742
55영등포여성인력개발센터070-4048-7355서울특별시 영등포구 영중로61 극동빌딩http://www.ywcajob.or.kr/37.521865126.904596
56용산여성인력개발센터02-714-9764서울시특별시 용산구 청파로 139-21https://yongsan.seoulwomanup.or.kr37.534819126.966388
57은평여성인력개발센터070-4048-6864서울특별시 은평구 녹번로 76https://ep.seoulwomanup.or.kr/37.6071126.9323
58장애여성인력개발센터02-6929-0002서울특별시 강서구 화곡로 346https://wsbt.seoulwomanup.or.kr/37.554489126.851963
59종로여성인력개발센터02-765-1326서울특별시 종로구 대학로11길 23https://www.sbwomen.or.kr/37.582091127.000556
60중랑여성인력개발센터070-4048-7144서울특별시 중랑구 망우로32길 20https://jungnang.seoulwomanup.or.kr/37.592978127.076499
61중부여성발전센터02-719-6307서울특별시 마포구 토정로35길 17jungbu.seoulwomanup.or.kr37.540811126.943959
62한국폴리텍대학 서울강서캠퍼스02-2186-5815서울특별시 강서구 우장산로10길 112https://www.kopo.ac.kr/kangseo37.550387126.843529
63한국폴리텍대학 서울정수캠퍼스02-2001-4871서울특별시 용산구 보광동 238-2 한국폴리텍대학 서울정수캠퍼스http://www.kopo.ac.kr/jungsu37.529959126.996801