Overview

Dataset statistics

Number of variables7
Number of observations377
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory58.4 B

Variable types

Numeric2
Categorical1
Text4

Dataset

Description전라남도 지역아동센터 운영 현황에 대한 데이터로 시군, 시설명, 소재지, 대표자, 시설장명 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15112969/fileData.do

Alerts

연번 is highly overall correlated with 시군구High correlation
우편번호 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
시설 소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:47:57.602015
Analysis finished2023-12-12 08:47:59.236027
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct377
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189
Minimum1
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T17:47:59.329814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.8
Q195
median189
Q3283
95-th percentile358.2
Maximum377
Range376
Interquartile range (IQR)188

Descriptive statistics

Standard deviation108.97477
Coefficient of variation (CV)0.57658607
Kurtosis-1.2
Mean189
Median Absolute Deviation (MAD)94
Skewness0
Sum71253
Variance11875.5
MonotonicityStrictly increasing
2023-12-12T17:47:59.507256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
Other values (367) 367
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%

시군구
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
순천시
47 
목포시
40 
여수시
40 
나주시
24 
해남군
24 
Other values (17)
202 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
순천시 47
12.5%
목포시 40
 
10.6%
여수시 40
 
10.6%
나주시 24
 
6.4%
해남군 24
 
6.4%
광양시 18
 
4.8%
영암군 17
 
4.5%
고흥군 17
 
4.5%
무안군 17
 
4.5%
화순군 16
 
4.2%
Other values (12) 117
31.0%

Length

2023-12-12T17:47:59.691271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
순천시 47
12.5%
목포시 40
 
10.6%
여수시 40
 
10.6%
나주시 24
 
6.4%
해남군 24
 
6.4%
광양시 18
 
4.8%
영암군 17
 
4.5%
고흥군 17
 
4.5%
무안군 17
 
4.5%
화순군 16
 
4.2%
Other values (12) 117
31.0%

시설명
Text

Distinct354
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T17:47:59.914965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length8
Mean length9.2334218
Min length8

Characters and Unicode

Total characters3481
Distinct characters314
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)90.5%

Sample

1st row새가정 지역아동센터
2nd row아동지역아동센터
3rd row(사)목포YWCA꿈나무지역아동센터
4th row성산꿈자라기지역아동센터
5th row새움땅 지역아동센타
ValueCountFrequency (%)
지역아동센터 35
 
8.2%
늘푸른지역아동센터 5
 
1.2%
우리지역아동센터 4
 
0.9%
꿈나무지역아동센터 4
 
0.9%
한빛지역아동센터 3
 
0.7%
무지개지역아동센터 3
 
0.7%
성산지역아동센터 3
 
0.7%
희망지역아동센터 2
 
0.5%
중앙지역아동센터 2
 
0.5%
사랑나눔지역아동센터 2
 
0.5%
Other values (358) 362
85.2%
2023-12-12T17:48:00.350744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 400
 
11.5%
지 388
 
11.1%
아 386
 
11.1%
터 382
 
11.0%
역 376
 
10.8%
센 376
 
10.8%
48
 
1.4%
사 29
 
0.8%
산 26
 
0.7%
꿈 26
 
0.7%
Other values (304) 1044
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3396
97.6%
Space Separator 48
 
1.4%
Uppercase Letter 19
 
0.5%
Decimal Number 8
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 400
11.8%
지 388
 
11.4%
아 386
 
11.4%
터 382
 
11.2%
역 376
 
11.1%
센 376
 
11.1%
사 29
 
0.9%
산 26
 
0.8%
꿈 26
 
0.8%
나 21
 
0.6%
Other values (285) 986
29.0%
Uppercase Letter
ValueCountFrequency (%)
Y 3
15.8%
H 3
15.8%
L 3
15.8%
S 2
10.5%
C 2
10.5%
Q 1
 
5.3%
E 1
 
5.3%
O 1
 
5.3%
W 1
 
5.3%
A 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
3 2
25.0%
8 2
25.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3395
97.5%
Common 64
 
1.8%
Latin 21
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 400
11.8%
지 388
 
11.4%
아 386
 
11.4%
터 382
 
11.3%
역 376
 
11.1%
센 376
 
11.1%
사 29
 
0.9%
산 26
 
0.8%
꿈 26
 
0.8%
나 21
 
0.6%
Other values (284) 985
29.0%
Latin
ValueCountFrequency (%)
Y 3
14.3%
H 3
14.3%
L 3
14.3%
S 2
9.5%
C 2
9.5%
s 1
 
4.8%
e 1
 
4.8%
Q 1
 
4.8%
E 1
 
4.8%
O 1
 
4.8%
Other values (3) 3
14.3%
Common
ValueCountFrequency (%)
48
75.0%
( 4
 
6.2%
1 4
 
6.2%
) 4
 
6.2%
3 2
 
3.1%
8 2
 
3.1%
Han
ValueCountFrequency (%)
聖 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3395
97.5%
ASCII 85
 
2.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 400
11.8%
지 388
 
11.4%
아 386
 
11.4%
터 382
 
11.3%
역 376
 
11.1%
센 376
 
11.1%
사 29
 
0.9%
산 26
 
0.8%
꿈 26
 
0.8%
나 21
 
0.6%
Other values (284) 985
29.0%
ASCII
ValueCountFrequency (%)
48
56.5%
( 4
 
4.7%
1 4
 
4.7%
) 4
 
4.7%
Y 3
 
3.5%
H 3
 
3.5%
L 3
 
3.5%
3 2
 
2.4%
8 2
 
2.4%
S 2
 
2.4%
Other values (9) 10
 
11.8%
CJK
ValueCountFrequency (%)
聖 1
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct331
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58492.594
Minimum57002
Maximum59783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T17:48:00.542293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57002
5-th percentile57122.6
Q157936
median58537
Q359144
95-th percentile59699.2
Maximum59783
Range2781
Interquartile range (IQR)1208

Descriptive statistics

Standard deviation794.08317
Coefficient of variation (CV)0.01357579
Kurtosis-0.98933869
Mean58492.594
Median Absolute Deviation (MAD)604
Skewness-0.11546344
Sum22051708
Variance630568.08
MonotonicityNot monotonic
2023-12-12T17:48:00.691106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57219 4
 
1.1%
57974 3
 
0.8%
58458 3
 
0.8%
58126 3
 
0.8%
58115 3
 
0.8%
58613 3
 
0.8%
57945 3
 
0.8%
57055 2
 
0.5%
57959 2
 
0.5%
59002 2
 
0.5%
Other values (321) 349
92.6%
ValueCountFrequency (%)
57002 1
0.3%
57003 1
0.3%
57014 1
0.3%
57021 1
0.3%
57023 1
0.3%
57026 1
0.3%
57028 1
0.3%
57036 1
0.3%
57046 1
0.3%
57055 2
0.5%
ValueCountFrequency (%)
59783 1
0.3%
59780 1
0.3%
59779 1
0.3%
59774 1
0.3%
59773 1
0.3%
59769 2
0.5%
59757 2
0.5%
59743 1
0.3%
59741 1
0.3%
59740 1
0.3%

시설 소재지
Text

UNIQUE 

Distinct377
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T17:48:01.159524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length23.912467
Min length17

Characters and Unicode

Total characters9015
Distinct characters281
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

Unique377 ?
Unique (%)100.0%

Sample

1st row전라남도 목포시 하당로 14, 110동 2층 205호 (상동, 꿈동산신안아파트)
2nd row전라남도 목포시 용당로305번길 35 호
3rd row전라남도 목포시 영산로 139 (호남동)
4th row전라남도 목포시 석현로45번길 9 (석현동)
5th row전라남도 목포시 영산로39번길 3 (대의동2가)
ValueCountFrequency (%)
전라남도 377
 
18.4%
순천시 47
 
2.3%
여수시 40
 
2.0%
목포시 40
 
2.0%
2층 38
 
1.9%
해남군 24
 
1.2%
나주시 24
 
1.2%
광양시 18
 
0.9%
영암군 17
 
0.8%
고흥군 17
 
0.8%
Other values (877) 1403
68.6%
2023-12-12T17:48:01.856944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1671
 
18.5%
남 443
 
4.9%
도 420
 
4.7%
전 386
 
4.3%
라 382
 
4.2%
1 333
 
3.7%
길 228
 
2.5%
군 213
 
2.4%
2 201
 
2.2%
로 191
 
2.1%
Other values (271) 4547
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5514
61.2%
Space Separator 1671
 
18.5%
Decimal Number 1318
 
14.6%
Close Punctuation 141
 
1.6%
Open Punctuation 141
 
1.6%
Dash Punctuation 125
 
1.4%
Other Punctuation 98
 
1.1%
Uppercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 443
 
8.0%
도 420
 
7.6%
전 386
 
7.0%
라 382
 
6.9%
길 228
 
4.1%
군 213
 
3.9%
로 191
 
3.5%
시 179
 
3.2%
동 178
 
3.2%
면 143
 
2.6%
Other values (251) 2751
49.9%
Decimal Number
ValueCountFrequency (%)
1 333
25.3%
2 201
15.3%
3 167
12.7%
5 112
 
8.5%
4 103
 
7.8%
0 93
 
7.1%
6 83
 
6.3%
7 76
 
5.8%
9 75
 
5.7%
8 75
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
L 2
33.3%
H 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 97
99.0%
. 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1671
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5514
61.2%
Common 3495
38.8%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 443
 
8.0%
도 420
 
7.6%
전 386
 
7.0%
라 382
 
6.9%
길 228
 
4.1%
군 213
 
3.9%
로 191
 
3.5%
시 179
 
3.2%
동 178
 
3.2%
면 143
 
2.6%
Other values (251) 2751
49.9%
Common
ValueCountFrequency (%)
1671
47.8%
1 333
 
9.5%
2 201
 
5.8%
3 167
 
4.8%
) 141
 
4.0%
( 141
 
4.0%
- 125
 
3.6%
5 112
 
3.2%
4 103
 
2.9%
, 97
 
2.8%
Other values (7) 404
 
11.6%
Latin
ValueCountFrequency (%)
D 2
33.3%
L 2
33.3%
H 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5514
61.2%
ASCII 3501
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1671
47.7%
1 333
 
9.5%
2 201
 
5.7%
3 167
 
4.8%
) 141
 
4.0%
( 141
 
4.0%
- 125
 
3.6%
5 112
 
3.2%
4 103
 
2.9%
, 97
 
2.8%
Other values (10) 410
 
11.7%
Hangul
ValueCountFrequency (%)
남 443
 
8.0%
도 420
 
7.6%
전 386
 
7.0%
라 382
 
6.9%
길 228
 
4.1%
군 213
 
3.9%
로 191
 
3.5%
시 179
 
3.2%
동 178
 
3.2%
면 143
 
2.6%
Other values (251) 2751
49.9%

대표자명
Text

Distinct298
Distinct (%)79.3%
Missing1
Missing (%)0.3%
Memory size3.1 KiB
2023-12-12T17:48:02.258014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9946809
Min length2

Characters and Unicode

Total characters1126
Distinct characters152
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique271 ?
Unique (%)72.1%

Sample

1st row김길자
2nd row이수형
3rd row정이숙
4th row김기풍
5th row한승강
ValueCountFrequency (%)
박종규 24
 
6.3%
김형두 10
 
2.6%
정형철 6
 
1.6%
서도순 5
 
1.3%
최미란 4
 
1.1%
김정희 4
 
1.1%
김희중 4
 
1.1%
강태순 4
 
1.1%
윤서영 3
 
0.8%
신은정 3
 
0.8%
Other values (289) 311
82.3%
2023-12-12T17:48:02.825738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 85
 
7.5%
정 58
 
5.2%
박 50
 
4.4%
이 45
 
4.0%
희 34
 
3.0%
종 33
 
2.9%
규 29
 
2.6%
숙 27
 
2.4%
영 26
 
2.3%
순 24
 
2.1%
Other values (142) 715
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1122
99.6%
Space Separator 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 85
 
7.6%
정 58
 
5.2%
박 50
 
4.5%
이 45
 
4.0%
희 34
 
3.0%
종 33
 
2.9%
규 29
 
2.6%
숙 27
 
2.4%
영 26
 
2.3%
순 24
 
2.1%
Other values (141) 711
63.4%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1122
99.6%
Common 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 85
 
7.6%
정 58
 
5.2%
박 50
 
4.5%
이 45
 
4.0%
희 34
 
3.0%
종 33
 
2.9%
규 29
 
2.6%
숙 27
 
2.4%
영 26
 
2.3%
순 24
 
2.1%
Other values (141) 711
63.4%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1122
99.6%
ASCII 4
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 85
 
7.6%
정 58
 
5.2%
박 50
 
4.5%
이 45
 
4.0%
희 34
 
3.0%
종 33
 
2.9%
규 29
 
2.6%
숙 27
 
2.4%
영 26
 
2.3%
순 24
 
2.1%
Other values (141) 711
63.4%
ASCII
ValueCountFrequency (%)
4
100.0%

시설장명
Text

Distinct361
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T17:48:03.223105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9840849
Min length2

Characters and Unicode

Total characters1125
Distinct characters136
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)92.0%

Sample

1st row김길자
2nd row조미숙
3rd row원정희
4th row김현희
5th row박지영
ValueCountFrequency (%)
김정화 3
 
0.8%
김정숙 3
 
0.8%
김성민 2
 
0.5%
김선미 2
 
0.5%
황윤정 2
 
0.5%
최희숙 2
 
0.5%
김성희 2
 
0.5%
김정희 2
 
0.5%
김숙희 2
 
0.5%
김미선 2
 
0.5%
Other values (351) 355
94.2%
2023-12-12T17:48:03.824281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 103
 
9.2%
정 57
 
5.1%
미 46
 
4.1%
이 45
 
4.0%
희 44
 
3.9%
숙 43
 
3.8%
영 37
 
3.3%
박 33
 
2.9%
은 28
 
2.5%
순 27
 
2.4%
Other values (126) 662
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1125
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 103
 
9.2%
정 57
 
5.1%
미 46
 
4.1%
이 45
 
4.0%
희 44
 
3.9%
숙 43
 
3.8%
영 37
 
3.3%
박 33
 
2.9%
은 28
 
2.5%
순 27
 
2.4%
Other values (126) 662
58.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1125
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 103
 
9.2%
정 57
 
5.1%
미 46
 
4.1%
이 45
 
4.0%
희 44
 
3.9%
숙 43
 
3.8%
영 37
 
3.3%
박 33
 
2.9%
은 28
 
2.5%
순 27
 
2.4%
Other values (126) 662
58.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 103
 
9.2%
정 57
 
5.1%
미 46
 
4.1%
이 45
 
4.0%
희 44
 
3.9%
숙 43
 
3.8%
영 37
 
3.3%
박 33
 
2.9%
은 28
 
2.5%
순 27
 
2.4%
Other values (126) 662
58.8%

Interactions

2023-12-12T17:47:58.784005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:58.223915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:58.902611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:58.349950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:48:03.931283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구우편번호
연번1.0000.9830.960
시군구0.9831.0000.991
우편번호0.9600.9911.000
2023-12-12T17:48:04.026569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호시군구
연번1.000-0.2100.887
우편번호-0.2101.0000.928
시군구0.8870.9281.000

Missing values

2023-12-12T17:47:59.048183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:47:59.171768image/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

연번시군구시설명우편번호시설 소재지대표자명시설장명
01목포시새가정 지역아동센터58694전라남도 목포시 하당로 14, 110동 2층 205호 (상동, 꿈동산신안아파트)김길자김길자
12목포시아동지역아동센터58613전라남도 목포시 용당로305번길 35 호이수형조미숙
23목포시(사)목포YWCA꿈나무지역아동센터58722전라남도 목포시 영산로 139 (호남동)정이숙원정희
34목포시성산꿈자라기지역아동센터58655전라남도 목포시 석현로45번길 9 (석현동)김기풍김현희
45목포시새움땅 지역아동센타58729전라남도 목포시 영산로39번길 3 (대의동2가)한승강박지영
56목포시한빛지역아동센터58636전라남도 목포시 원산로109번길 9 (산정동)유재갑이진
67목포시(사)청소년문화공동체부설 지역아동센터58697전라남도 목포시 하당로 88 (상동)윤은종최지은
78목포시산돌지역아동센터58614전라남도 목포시 용당로 308 (용해동)이지영이지영
89목포시성루지역아동센터58691전라남도 목포시 교육로 27 (상동)이진구오은선
910목포시Yes 공부방 지역아동센터58639전라남도 목포시 원산정로 7 (산정동)김향환조월화
연번시군구시설명우편번호시설 소재지대표자명시설장명
367368진도군국제지역아동센터58946전라남도 진도군 지산면 소포길 52-4김대성이봉순
368369진도군금골지역아동센터58902전라남도 진도군 군내면 금골길 18이혜영이혜영
369370진도군청운지역아동센터58913전라남도 진도군 진도읍 교동5길 2, 2층조현미조현미
370371진도군꿈키움사회적협동조합 서부중앙지역아동센터58931전라남도 진도군 진도읍 신흥정자로 91양인수양인수
371372신안군섬드리지역아동센터58821전라남도 신안군 압해읍 추섬길 213정성덕윤현승
372373신안군비금지역아동센터58846전라남도 신안군 비금면 읍동길 34-2김현산최광희
373374신안군지도행복지역아동센터58813전라남도 신안군 지도읍 해제지도로 1323박우량박선정
374375신안군임자천사아이지역아동센터58802전라남도 신안군 임자면 진리길 66박우량김현주
375376신안군비금희망찬지역아동센터58846전라남도 신안군 비금면 비금북부길 8-1박우량이현희
376377신안군압해드림지역아동센터58824전라남도 신안군 압해읍 복룡로 13, 2층 (압해드림지역아동센터)신현파황길연