Overview

Dataset statistics

Number of variables10
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory87.9 B

Variable types

Numeric1
Text4
DateTime1
Categorical4

Dataset

Description아동복지법 제50조 규정에 의해 신고한 광주광역시 내 공동생활가정 현황입니다. 시설명, 설치일자, 소재지도로명주소 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15043859/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종사자수 is highly overall correlated with 아동수(현원)High correlation
아동수(현원) is highly overall correlated with 종사자수High correlation
아동수(정원) is highly imbalanced (80.9%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
시설장 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:01:07.653853
Analysis finished2023-12-12 02:01:08.593896
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T11:01:08.677720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-12T11:01:08.870222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

시설명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T11:01:09.184122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.3529412
Min length3

Characters and Unicode

Total characters216
Distinct characters81
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

Unique34 ?
Unique (%)100.0%

Sample

1st row성빈에스더집그룹홈
2nd row사무엘 그룹홈
3rd row로뎀의집그룹홈
4th row밝은그룹홈
5th row꿈그린그룹홈
ValueCountFrequency (%)
성빈에스더집그룹홈 1
 
2.9%
그룹홈 1
 
2.9%
꿈자람그룹홈 1
 
2.9%
나래울그룹홈 1
 
2.9%
애자람그룹홈 1
 
2.9%
길상원그룹홈 1
 
2.9%
오아시스그룹홈 1
 
2.9%
사무엘 1
 
2.9%
참사랑그룹홈 1
 
2.9%
해맑은그룹홈 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T11:01:09.688776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
그 27
 
12.5%
룹 26
 
12.0%
홈 26
 
12.0%
집 6
 
2.8%
사 5
 
2.3%
성 4
 
1.9%
나 4
 
1.9%
동 4
 
1.9%
스 4
 
1.9%
로 3
 
1.4%
Other values (71) 107
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
99.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
그 27
 
12.6%
룹 26
 
12.1%
홈 26
 
12.1%
집 6
 
2.8%
사 5
 
2.3%
성 4
 
1.9%
나 4
 
1.9%
동 4
 
1.9%
스 4
 
1.9%
로 3
 
1.4%
Other values (70) 106
49.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
그 27
 
12.6%
룹 26
 
12.1%
홈 26
 
12.1%
집 6
 
2.8%
사 5
 
2.3%
성 4
 
1.9%
나 4
 
1.9%
동 4
 
1.9%
스 4
 
1.9%
로 3
 
1.4%
Other values (70) 106
49.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
그 27
 
12.6%
룹 26
 
12.1%
홈 26
 
12.1%
집 6
 
2.8%
사 5
 
2.3%
성 4
 
1.9%
나 4
 
1.9%
동 4
 
1.9%
스 4
 
1.9%
로 3
 
1.4%
Other values (70) 106
49.3%
ASCII
ValueCountFrequency (%)
1
100.0%

설치일자
Date

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1999-02-25 00:00:00
Maximum2018-09-05 00:00:00
2023-12-12T11:01:09.863182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:10.069289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

종사자수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
4
23 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row3
4th row4
5th row3

Common Values

ValueCountFrequency (%)
4 23
67.6%
3 11
32.4%

Length

2023-12-12T11:01:10.307971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:10.451004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 23
67.6%
3 11
32.4%

아동수(정원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
7
33 
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
7 33
97.1%
6 1
 
2.9%

Length

2023-12-12T11:01:10.570622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:10.703138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 33
97.1%
6 1
 
2.9%

아동수(현원)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
5
11 
4
10 
6
9 
7
3 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row4
2nd row7
3rd row4
4th row7
5th row4

Common Values

ValueCountFrequency (%)
5 11
32.4%
4 10
29.4%
6 9
26.5%
7 3
 
8.8%
3 1
 
2.9%

Length

2023-12-12T11:01:10.852454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:10.990424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 11
32.4%
4 10
29.4%
6 9
26.5%
7 3
 
8.8%
3 1
 
2.9%

시설장
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T11:01:11.251116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters52
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

Unique34 ?
Unique (%)100.0%

Sample

1st row오희주
2nd row정명자
3rd row강남수
4th row이영숙
5th row고도연
ValueCountFrequency (%)
오희주 1
 
2.9%
정명자 1
 
2.9%
문일환 1
 
2.9%
기미란 1
 
2.9%
이명옥 1
 
2.9%
기영철 1
 
2.9%
정선옥 1
 
2.9%
조대익 1
 
2.9%
문희경 1
 
2.9%
정금희 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T11:01:11.691850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 7
 
6.9%
정 7
 
6.9%
김 5
 
4.9%
희 5
 
4.9%
경 4
 
3.9%
영 4
 
3.9%
문 4
 
3.9%
임 3
 
2.9%
이 3
 
2.9%
화 3
 
2.9%
Other values (42) 57
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 7
 
6.9%
정 7
 
6.9%
김 5
 
4.9%
희 5
 
4.9%
경 4
 
3.9%
영 4
 
3.9%
문 4
 
3.9%
임 3
 
2.9%
이 3
 
2.9%
화 3
 
2.9%
Other values (42) 57
55.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 7
 
6.9%
정 7
 
6.9%
김 5
 
4.9%
희 5
 
4.9%
경 4
 
3.9%
영 4
 
3.9%
문 4
 
3.9%
임 3
 
2.9%
이 3
 
2.9%
화 3
 
2.9%
Other values (42) 57
55.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 7
 
6.9%
정 7
 
6.9%
김 5
 
4.9%
희 5
 
4.9%
경 4
 
3.9%
영 4
 
3.9%
문 4
 
3.9%
임 3
 
2.9%
이 3
 
2.9%
화 3
 
2.9%
Other values (42) 57
55.9%

소재지도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T11:01:12.085495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length28.205882
Min length16

Characters and Unicode

Total characters959
Distinct characters102
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row광주광역시 동구 필문대로106번길 4, 401호
2nd row광주광역시 동구 필문대로 171번길 27-7
3rd row광주광역시 동구 무등로 451
4th row광주광역시 동구 무등로 374번길 108동 101호
5th row광주광역시 동구 화산로350번길 18, 202호(용산동, 동산타워)
ValueCountFrequency (%)
광주광역시 34
 
18.1%
북구 13
 
6.9%
동구 7
 
3.7%
광산구 6
 
3.2%
남구 4
 
2.1%
서구 4
 
2.1%
101호 4
 
2.1%
105동 3
 
1.6%
1층 2
 
1.1%
175 2
 
1.1%
Other values (102) 109
58.0%
2023-12-12T11:01:12.693471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
16.1%
광 74
 
7.7%
1 73
 
7.6%
0 56
 
5.8%
동 37
 
3.9%
역 34
 
3.5%
시 34
 
3.5%
구 34
 
3.5%
주 34
 
3.5%
로 31
 
3.2%
Other values (92) 398
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
51.5%
Decimal Number 258
26.9%
Space Separator 154
 
16.1%
Other Punctuation 28
 
2.9%
Dash Punctuation 11
 
1.1%
Close Punctuation 7
 
0.7%
Open Punctuation 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 74
15.0%
동 37
 
7.5%
역 34
 
6.9%
시 34
 
6.9%
구 34
 
6.9%
주 34
 
6.9%
로 31
 
6.3%
호 24
 
4.9%
길 13
 
2.6%
산 13
 
2.6%
Other values (77) 166
33.6%
Decimal Number
ValueCountFrequency (%)
1 73
28.3%
0 56
21.7%
2 29
 
11.2%
4 20
 
7.8%
3 18
 
7.0%
5 17
 
6.6%
7 14
 
5.4%
6 13
 
5.0%
8 9
 
3.5%
9 9
 
3.5%
Space Separator
ValueCountFrequency (%)
154
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 494
51.5%
Common 465
48.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 74
15.0%
동 37
 
7.5%
역 34
 
6.9%
시 34
 
6.9%
구 34
 
6.9%
주 34
 
6.9%
로 31
 
6.3%
호 24
 
4.9%
길 13
 
2.6%
산 13
 
2.6%
Other values (77) 166
33.6%
Common
ValueCountFrequency (%)
154
33.1%
1 73
15.7%
0 56
 
12.0%
2 29
 
6.2%
, 28
 
6.0%
4 20
 
4.3%
3 18
 
3.9%
5 17
 
3.7%
7 14
 
3.0%
6 13
 
2.8%
Other values (5) 43
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 494
51.5%
ASCII 465
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
33.1%
1 73
15.7%
0 56
 
12.0%
2 29
 
6.2%
, 28
 
6.0%
4 20
 
4.3%
3 18
 
3.9%
5 17
 
3.7%
7 14
 
3.0%
6 13
 
2.8%
Other values (5) 43
 
9.2%
Hangul
ValueCountFrequency (%)
광 74
15.0%
동 37
 
7.5%
역 34
 
6.9%
시 34
 
6.9%
구 34
 
6.9%
주 34
 
6.9%
로 31
 
6.3%
호 24
 
4.9%
길 13
 
2.6%
산 13
 
2.6%
Other values (77) 166
33.6%

전화번호
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T11:01:12.962926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.058824
Min length12

Characters and Unicode

Total characters410
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

Unique32 ?
Unique (%)94.1%

Sample

1st row062-511-2149
2nd row062-251-6438
3rd row062-225-1845
4th row062-222-3018
5th row062-462-3535
ValueCountFrequency (%)
062-676-9141 2
 
5.9%
062-511-2149 1
 
2.9%
062-416-7721 1
 
2.9%
062-412-1972 1
 
2.9%
062-527-4488 1
 
2.9%
062-523-5525 1
 
2.9%
062-265-3996 1
 
2.9%
062-466-9113 1
 
2.9%
062-413-7577 1
 
2.9%
070-8884-0180 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T11:01:13.425993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.6%
6 57
13.9%
2 53
12.9%
0 49
12.0%
1 36
8.8%
5 29
7.1%
7 27
 
6.6%
4 26
 
6.3%
9 23
 
5.6%
3 22
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
83.4%
Dash Punctuation 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 57
16.7%
2 53
15.5%
0 49
14.3%
1 36
10.5%
5 29
8.5%
7 27
7.9%
4 26
7.6%
9 23
6.7%
3 22
 
6.4%
8 20
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.6%
6 57
13.9%
2 53
12.9%
0 49
12.0%
1 36
8.8%
5 29
7.1%
7 27
 
6.6%
4 26
 
6.3%
9 23
 
5.6%
3 22
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.6%
6 57
13.9%
2 53
12.9%
0 49
12.0%
1 36
8.8%
5 29
7.1%
7 27
 
6.6%
4 26
 
6.3%
9 23
 
5.6%
3 22
 
5.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-11-24
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-24
2nd row2023-11-24
3rd row2023-11-24
4th row2023-11-24
5th row2023-11-24

Common Values

ValueCountFrequency (%)
2023-11-24 34
100.0%

Length

2023-12-12T11:01:13.625775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:13.752802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-24 34
100.0%

Interactions

2023-12-12T11:01:08.150811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:01:13.852320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명설치일자종사자수아동수(정원)아동수(현원)시설장소재지도로명주소전화번호
연번1.0001.0001.0000.4720.3350.7401.0001.0000.928
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
설치일자1.0001.0001.0001.0001.0000.9291.0001.0000.992
종사자수0.4721.0001.0001.0000.0000.6531.0001.0001.000
아동수(정원)0.3351.0001.0000.0001.0000.0001.0001.0001.000
아동수(현원)0.7401.0000.9290.6530.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.9281.0000.9921.0001.0001.0001.0001.0001.000
2023-12-12T11:01:14.005176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아동수(정원)아동수(현원)종사자수
아동수(정원)1.0000.0000.000
아동수(현원)0.0001.0000.745
종사자수0.0000.7451.000
2023-12-12T11:01:14.115874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자수아동수(정원)아동수(현원)
연번1.0000.3030.2040.351
종사자수0.3031.0000.0000.745
아동수(정원)0.2040.0001.0000.000
아동수(현원)0.3510.7450.0001.000

Missing values

2023-12-12T11:01:08.308064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:01:08.530162image/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

연번시설명설치일자종사자수아동수(정원)아동수(현원)시설장소재지도로명주소전화번호데이터기준일자
01성빈에스더집그룹홈2005-08-17374오희주광주광역시 동구 필문대로106번길 4, 401호062-511-21492023-11-24
12사무엘 그룹홈2008-04-28477정명자광주광역시 동구 필문대로 171번길 27-7062-251-64382023-11-24
23로뎀의집그룹홈2007-08-16374강남수광주광역시 동구 무등로 451062-225-18452023-11-24
34밝은그룹홈2013-11-01477이영숙광주광역시 동구 무등로 374번길 108동 101호062-222-30182023-11-24
45꿈그린그룹홈2018-06-25374고도연광주광역시 동구 화산로350번길 18, 202호(용산동, 동산타워)062-462-35352023-11-24
56벧엘의집그룹홈2018-04-23477조홍명광주광역시 동구 밤실로 150, 105동 105호(산수동, 두암그린파크)062-266-99182023-11-24
67열린공동생활가정2018-08-08475노미례광주광역시 동구 필문대로 12-7, 106동 102호062-401-09732023-11-24
78로뎀나무그룹홈2004-04-01476임수화광주광역시 서구 운천로56번길 7, 103동 103호062-446-18312023-11-24
89돈보스코나눔의집2006-04-07476이상윤광주광역시 서구 세동1길 44062-373-09102023-11-24
910세움그룹홈2016-02-08475정금희광주광역시 서구 화운로 37, 102동 202호062-363-56822023-11-24
연번시설명설치일자종사자수아동수(정원)아동수(현원)시설장소재지도로명주소전화번호데이터기준일자
2425함세아그룹홈2016-04-06375문미애광주광역시 북구 설죽로196번길 12, 1동 108호062-466-91132023-11-24
2526샬롬공동생활가정2017-12-06475김해영광주광역시 북구 삼정로108, 101동103호(두암동, 현대아파트)062-416-77212023-11-24
2627참사랑그룹홈2018-08-16475문희경광주광역시 북구 양지길 12-4 1층062-413-75772023-11-24
2728오아시스그룹홈2018-09-05476조대익광주광역시 북구 동운로 141 삼라마이더스 101-106062-527-56782023-11-24
2829길상원그룹홈1999-02-25476정선옥광주광역시 광산구 사암로271, 105동 1003호062-955-81612023-11-24
2930애자람그룹홈2010-08-27476기영철광주광역시 광산구 송도로320번길 16-5, 203동 303호062-432-79782023-11-24
3031나래울그룹홈2011-04-27475이명옥광주광역시 광산구 월곡중앙로34번길 20062-951-93872023-11-24
3132꿈자람그룹홈2012-04-30476기미란광주광역시 광산구 소촌로152번길 11, 304동 103호(소촌동, 소촌이지스위트밸리3차)062-452-79782023-11-24
3233늘빛그룹홈2012-08-16476문일환광주광역시 광산구 풍영로 294-8, 206동103호062-959-19102023-11-24
3334한울그룹홈2017-02-15375김은순광주광역시 광산구 수등로 280, 104동 101호062-453-10032023-11-24