Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory80.7 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description부산광역시_정신보건시설현황_20230908
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15066738

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
유형 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
정원 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:07:24.640537
Analysis finished2023-12-10 16:07:26.822755
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
정신재활시설
20 
정신요양시설
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정신요양시설
2nd row정신요양시설
3rd row정신요양시설
4th row정신재활시설
5th row정신재활시설

Common Values

ValueCountFrequency (%)
정신재활시설 20
87.0%
정신요양시설 3
 
13.0%

Length

2023-12-11T01:07:26.917330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:07:27.043904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정신재활시설 20
87.0%
정신요양시설 3
 
13.0%

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:07:27.241340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.5217391
Min length2

Characters and Unicode

Total characters150
Distinct characters71
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

Unique23 ?
Unique (%)100.0%

Sample

1st row그리스도요양원
2nd row자매정신요양원
3rd row송원정신요양원
4th row아미정신건강센터
5th row행복한집
ValueCountFrequency (%)
나눔과행복 3
 
11.5%
그리스도요양원 1
 
3.8%
기쁜우리 1
 
3.8%
위캔클럽 1
 
3.8%
동래직업재활센터 1
 
3.8%
하모니하우스 1
 
3.8%
행복나무 1
 
3.8%
컴넷하우스 1
 
3.8%
송국클럽하우스 1
 
3.8%
참살이클럽하우스 1
 
3.8%
Other values (14) 14
53.8%
2023-12-11T01:07:27.711603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 7
 
4.7%
우 7
 
4.7%
하 7
 
4.7%
행 5
 
3.3%
복 5
 
3.3%
그 4
 
2.7%
럽 4
 
2.7%
리 4
 
2.7%
4
 
2.7%
나 4
 
2.7%
Other values (61) 99
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
95.3%
Space Separator 4
 
2.7%
Decimal Number 3
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 7
 
4.9%
우 7
 
4.9%
하 7
 
4.9%
행 5
 
3.5%
복 5
 
3.5%
그 4
 
2.8%
럽 4
 
2.8%
리 4
 
2.8%
나 4
 
2.8%
클 4
 
2.8%
Other values (57) 92
64.3%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
95.3%
Common 7
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 7
 
4.9%
우 7
 
4.9%
하 7
 
4.9%
행 5
 
3.5%
복 5
 
3.5%
그 4
 
2.8%
럽 4
 
2.8%
리 4
 
2.8%
나 4
 
2.8%
클 4
 
2.8%
Other values (57) 92
64.3%
Common
ValueCountFrequency (%)
4
57.1%
2 1
 
14.3%
1 1
 
14.3%
3 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
95.3%
ASCII 7
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 7
 
4.9%
우 7
 
4.9%
하 7
 
4.9%
행 5
 
3.5%
복 5
 
3.5%
그 4
 
2.8%
럽 4
 
2.8%
리 4
 
2.8%
나 4
 
2.8%
클 4
 
2.8%
Other values (57) 92
64.3%
ASCII
ValueCountFrequency (%)
4
57.1%
2 1
 
14.3%
1 1
 
14.3%
3 1
 
14.3%

도로명주소
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:07:28.010104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length19.73913
Min length16

Characters and Unicode

Total characters454
Distinct characters74
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st row부산광역시 서구 옥천로 130번길 40
2nd row부산광역시 사하구 사리로 37
3rd row경남 양산시 하북면 양산대로 1870-63
4th row부산광역시 서구 아미로12번길 25
5th row부산광역시 남구 용소로 64번길49-1
ValueCountFrequency (%)
부산광역시 22
22.9%
사리로 3
 
3.1%
진구 3
 
3.1%
금정구 3
 
3.1%
37 3
 
3.1%
중앙대로 3
 
3.1%
사하구 3
 
3.1%
개금본동로17번길 3
 
3.1%
12 3
 
3.1%
동래구 2
 
2.1%
Other values (45) 48
50.0%
2023-12-11T01:07:28.609982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
16.5%
산 26
 
5.7%
부 23
 
5.1%
시 23
 
5.1%
로 23
 
5.1%
광 22
 
4.8%
역 22
 
4.8%
구 21
 
4.6%
1 19
 
4.2%
3 16
 
3.5%
Other values (64) 184
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
63.0%
Decimal Number 87
 
19.2%
Space Separator 75
 
16.5%
Dash Punctuation 5
 
1.1%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 26
 
9.1%
부 23
 
8.0%
시 23
 
8.0%
로 23
 
8.0%
광 22
 
7.7%
역 22
 
7.7%
구 21
 
7.3%
번 9
 
3.1%
길 9
 
3.1%
사 8
 
2.8%
Other values (51) 100
35.0%
Decimal Number
ValueCountFrequency (%)
1 19
21.8%
3 16
18.4%
2 10
11.5%
7 10
11.5%
0 8
9.2%
5 6
 
6.9%
6 6
 
6.9%
9 5
 
5.7%
4 5
 
5.7%
8 2
 
2.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
63.0%
Common 168
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 26
 
9.1%
부 23
 
8.0%
시 23
 
8.0%
로 23
 
8.0%
광 22
 
7.7%
역 22
 
7.7%
구 21
 
7.3%
번 9
 
3.1%
길 9
 
3.1%
사 8
 
2.8%
Other values (51) 100
35.0%
Common
ValueCountFrequency (%)
75
44.6%
1 19
 
11.3%
3 16
 
9.5%
2 10
 
6.0%
7 10
 
6.0%
0 8
 
4.8%
5 6
 
3.6%
6 6
 
3.6%
9 5
 
3.0%
4 5
 
3.0%
Other values (3) 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
63.0%
ASCII 168
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
44.6%
1 19
 
11.3%
3 16
 
9.5%
2 10
 
6.0%
7 10
 
6.0%
0 8
 
4.8%
5 6
 
3.6%
6 6
 
3.6%
9 5
 
3.0%
4 5
 
3.0%
Other values (3) 8
 
4.8%
Hangul
ValueCountFrequency (%)
산 26
 
9.1%
부 23
 
8.0%
시 23
 
8.0%
로 23
 
8.0%
광 22
 
7.7%
역 22
 
7.7%
구 21
 
7.3%
번 9
 
3.1%
길 9
 
3.1%
사 8
 
2.8%
Other values (51) 100
35.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.17821
Minimum35.072213
Maximum35.430913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T01:07:28.799606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.072213
5-th percentile35.097619
Q135.117315
median35.166685
Q335.205443
95-th percentile35.316163
Maximum35.430913
Range0.35870028
Interquartile range (IQR)0.08812733

Descriptive statistics

Standard deviation0.081736918
Coefficient of variation (CV)0.0023235099
Kurtosis3.1029797
Mean35.17821
Median Absolute Deviation (MAD)0.03930759
Skewness1.5020968
Sum809.09883
Variance0.0066809238
MonotonicityNot monotonic
2023-12-11T01:07:28.969825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
35.15868328 3
 
13.0%
35.10314504 3
 
13.0%
35.09759381 1
 
4.3%
35.20489268 1
 
4.3%
35.13308181 1
 
4.3%
35.19790758 1
 
4.3%
35.27115614 1
 
4.3%
35.32116351 1
 
4.3%
35.17697135 1
 
4.3%
35.16668475 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
35.07221265 1
 
4.3%
35.09759381 1
 
4.3%
35.09784166 1
 
4.3%
35.10314504 3
13.0%
35.13148532 1
 
4.3%
35.13308181 1
 
4.3%
35.15868328 3
13.0%
35.16668475 1
 
4.3%
35.16995298 1
 
4.3%
35.17423748 1
 
4.3%
ValueCountFrequency (%)
35.43091293 1
4.3%
35.32116351 1
4.3%
35.27115614 1
4.3%
35.23099079 1
4.3%
35.2302634 1
4.3%
35.20599234 1
4.3%
35.20489268 1
4.3%
35.19790758 1
4.3%
35.17697135 1
4.3%
35.17423748 1
4.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05704
Minimum128.98336
Maximum129.17777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T01:07:29.120715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.98336
5-th percentile128.99555
Q1129.01337
median129.06769
Q3129.08547
95-th percentile129.15197
Maximum129.17777
Range0.1944055
Interquartile range (IQR)0.07209285

Descriptive statistics

Standard deviation0.052215235
Coefficient of variation (CV)0.00040459036
Kurtosis-0.11096372
Mean129.05704
Median Absolute Deviation (MAD)0.0435245
Skewness0.55385996
Sum2968.312
Variance0.0027264307
MonotonicityNot monotonic
2023-12-11T01:07:29.281843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
129.0241684 3
 
13.0%
128.9986284 3
 
13.0%
129.0136414 1
 
4.3%
129.1026346 1
 
4.3%
128.9952088 1
 
4.3%
129.0785791 1
 
4.3%
129.0923551 1
 
4.3%
129.177766 1
 
4.3%
129.0982827 1
 
4.3%
129.1574527 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
128.9833605 1
 
4.3%
128.9952088 1
 
4.3%
128.9986284 3
13.0%
129.0131071 1
 
4.3%
129.0136414 1
 
4.3%
129.0241684 3
13.0%
129.0617457 1
 
4.3%
129.0676929 1
 
4.3%
129.0713182 1
 
4.3%
129.0769864 1
 
4.3%
ValueCountFrequency (%)
129.177766 1
4.3%
129.1574527 1
4.3%
129.1026346 1
4.3%
129.0984937 1
4.3%
129.0982827 1
4.3%
129.0923551 1
4.3%
129.0785791 1
4.3%
129.0776428 1
4.3%
129.0772926 1
4.3%
129.0769864 1
4.3%

전화번호
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:07:29.512593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique18 ?
Unique (%)78.3%

Sample

1st row051-257-0103
2nd row051-207-3845
3rd row055-375-1799
4th row051-244-2005
5th row051-635-5548
ValueCountFrequency (%)
051-894-8010 3
 
13.0%
051-518-5849 2
 
8.7%
051-257-0103 1
 
4.3%
051-503-8785 1
 
4.3%
051-507-8008 1
 
4.3%
051-518-4165 1
 
4.3%
051-997-0722 1
 
4.3%
051-727-7235 1
 
4.3%
051-759-1268 1
 
4.3%
051-747-0578 1
 
4.3%
Other values (10) 10
43.5%
2023-12-11T01:07:29.904848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 50
18.1%
0 46
16.7%
- 46
16.7%
1 33
12.0%
8 21
7.6%
7 19
 
6.9%
4 16
 
5.8%
2 14
 
5.1%
9 12
 
4.3%
3 10
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 50
21.7%
0 46
20.0%
1 33
14.3%
8 21
9.1%
7 19
 
8.3%
4 16
 
7.0%
2 14
 
6.1%
9 12
 
5.2%
3 10
 
4.3%
6 9
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 50
18.1%
0 46
16.7%
- 46
16.7%
1 33
12.0%
8 21
7.6%
7 19
 
6.9%
4 16
 
5.8%
2 14
 
5.1%
9 12
 
4.3%
3 10
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 50
18.1%
0 46
16.7%
- 46
16.7%
1 33
12.0%
8 21
7.6%
7 19
 
6.9%
4 16
 
5.8%
2 14
 
5.1%
9 12
 
4.3%
3 10
 
3.6%

유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
주간재활시설
9 
공동생활가정
7 
생활시설
3 
직업재활시설
3 
종합시설
1 

Length

Max length6
Median length6
Mean length5.6521739
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row생활시설
2nd row생활시설
3rd row생활시설
4th row종합시설
5th row공동생활가정

Common Values

ValueCountFrequency (%)
주간재활시설 9
39.1%
공동생활가정 7
30.4%
생활시설 3
 
13.0%
직업재활시설 3
 
13.0%
종합시설 1
 
4.3%

Length

2023-12-11T01:07:30.107373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:07:30.253840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간재활시설 9
39.1%
공동생활가정 7
30.4%
생활시설 3
 
13.0%
직업재활시설 3
 
13.0%
종합시설 1
 
4.3%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.695652
Minimum4
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T01:07:30.386930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q19
median29
Q342.5
95-th percentile258
Maximum300
Range296
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation80.030355
Coefficient of variation (CV)1.5187279
Kurtosis5.426327
Mean52.695652
Median Absolute Deviation (MAD)20
Skewness2.468069
Sum1212
Variance6404.8577
MonotonicityNot monotonic
2023-12-11T01:07:30.526626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20 4
17.4%
4 3
13.0%
30 3
13.0%
9 2
8.7%
6 2
8.7%
35 2
8.7%
300 1
 
4.3%
270 1
 
4.3%
150 1
 
4.3%
80 1
 
4.3%
Other values (3) 3
13.0%
ValueCountFrequency (%)
4 3
13.0%
6 2
8.7%
9 2
8.7%
20 4
17.4%
29 1
 
4.3%
30 3
13.0%
35 2
8.7%
50 1
 
4.3%
51 1
 
4.3%
80 1
 
4.3%
ValueCountFrequency (%)
300 1
 
4.3%
270 1
 
4.3%
150 1
 
4.3%
80 1
 
4.3%
51 1
 
4.3%
50 1
 
4.3%
35 2
8.7%
30 3
13.0%
29 1
 
4.3%
20 4
17.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-09-08
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-08
2nd row2023-09-08
3rd row2023-09-08
4th row2023-09-08
5th row2023-09-08

Common Values

ValueCountFrequency (%)
2023-09-08 23
100.0%

Length

2023-12-11T01:07:30.667430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:07:30.766228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-08 23
100.0%

Interactions

2023-12-11T01:07:25.774397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:25.008088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:25.388064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:25.912833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:25.128074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:25.502122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:26.030402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:25.259119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:07:25.642191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:07:30.829076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명도로명주소위도경도전화번호유형정원
구분1.0001.0000.0000.6770.0001.0001.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소0.0001.0001.0001.0001.0000.9810.9110.722
위도0.6771.0001.0001.0000.8281.0000.4680.345
경도0.0001.0001.0000.8281.0001.0000.0000.373
전화번호1.0001.0000.9811.0001.0001.0001.0001.000
유형1.0001.0000.9110.4680.0001.0001.0000.790
정원1.0001.0000.7220.3450.3731.0000.7901.000
2023-12-11T01:07:30.942293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형
구분1.0000.926
유형0.9261.000
2023-12-11T01:07:31.043533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도정원구분유형
위도1.0000.597-0.0800.4230.255
경도0.5971.000-0.0910.0000.000
정원-0.080-0.0911.0000.9000.651
구분0.4230.0000.9001.0000.926
유형0.2550.0000.6510.9261.000

Missing values

2023-12-11T01:07:26.535877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:07:26.745822image/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

구분시설명도로명주소위도경도전화번호유형정원데이터기준일자
0정신요양시설그리스도요양원부산광역시 서구 옥천로 130번길 4035.097594129.013641051-257-0103생활시설3002023-09-08
1정신요양시설자매정신요양원부산광역시 사하구 사리로 3735.103145128.998628051-207-3845생활시설2702023-09-08
2정신요양시설송원정신요양원경남 양산시 하북면 양산대로 1870-6335.430913129.071318055-375-1799생활시설1502023-09-08
3정신재활시설아미정신건강센터부산광역시 서구 아미로12번길 2535.097842129.013107051-244-2005종합시설802023-09-08
4정신재활시설행복한집부산광역시 남구 용소로 64번길49-135.131485129.098494051-635-5548공동생활가정92023-09-08
5정신재활시설보듬자리부산광역시 금정구 금샘로 5635.230991129.077293051-518-5849공동생활가정92023-09-08
6정신재활시설디딤마을부산광역시 금정구 금샘로 5235.230263129.076986051-518-5849공동생활가정62023-09-08
7정신재활시설나눔과행복 그룹홈1부산광역시 진구 개금본동로17번길 1235.158683129.024168051-894-8010공동생활가정42023-09-08
8정신재활시설나눔과행복 그룹홈2부산광역시 진구 개금본동로17번길 1235.158683129.024168051-894-8010공동생활가정42023-09-08
9정신재활시설나눔과행복 그룹홈3부산광역시 진구 개금본동로17번길 1235.158683129.024168051-894-8010공동생활가정42023-09-08
구분시설명도로명주소위도경도전화번호유형정원데이터기준일자
13정신재활시설한미래부산광역시 부산진구 거제대로 16-435.169953129.067693051-646-7425주간재활시설292023-09-08
14정신재활시설사직클럽하우스부산광역시 동래구 명장로20번길 1335.204893129.102635051-503-8785주간재활시설302023-09-08
15정신재활시설참살이클럽하우스부산광역시 동래구 중앙대로 133135.205992129.077643051-554-0562주간재활시설202023-09-08
16정신재활시설송국클럽하우스부산광역시 해운대구 우동1로 5735.166685129.157453051-747-0578주간재활시설502023-09-08
17정신재활시설컴넷하우스부산광역시 수영구 망미배산로76번나길 2735.176971129.098283051-759-1268주간재활시설352023-09-08
18정신재활시설행복나무부산광역시 기장군 정관읍 정관로 583, 301호35.321164129.177766051-727-7235주간재활시설202023-09-08
19정신재활시설하모니하우스부산광역시 사하구 사리로 3735.103145128.998628051-997-0722주간재활시설352023-09-08
20정신재활시설동래직업재활센터부산광역시 금정구 중앙대로 209335.271156129.092355051-518-4165직업재활시설302023-09-08
21정신재활시설위캔클럽부산광역시 연제구 중앙대로 123935.197908129.078579051-507-8008직업재활시설302023-09-08
22정신재활시설부산광역시정신재활시설부산광역시 사상구 학감대로39번길 104-3635.133082128.995209051-310-7756직업재활시설202023-09-08