Overview

Dataset statistics

Number of variables8
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory69.1 B

Variable types

Text5
DateTime1
Numeric2

Dataset

Description부산광역시_장애인직업재활시설현황_20231222
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15037892

Alerts

시설명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:19:34.768958
Analysis finished2024-03-13 13:19:35.993909
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-13T22:19:36.165428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.1860465
Min length4

Characters and Unicode

Total characters352
Distinct characters92
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

Unique43 ?
Unique (%)100.0%

Sample

1st row동원직업재활원
2nd row부산장애인직업재활시설
3rd row베데스다직업재활원
4th row한마음직업재활센터
5th row가마실로직업재활원
ValueCountFrequency (%)
동원직업재활원 1
 
2.3%
아마윤장애인직업재활센터 1
 
2.3%
지원직업재활원 1
 
2.3%
한마음직업재활원 1
 
2.3%
굿윌코리아보호작업장 1
 
2.3%
꿈모아직업재활센터 1
 
2.3%
시온직업재활시설 1
 
2.3%
꿈나래직업재활시설 1
 
2.3%
천마도예의숲 1
 
2.3%
도영하우스 1
 
2.3%
Other values (33) 33
76.7%
2024-03-13T22:19:36.561245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 35
 
9.9%
직 30
 
8.5%
재 29
 
8.2%
활 29
 
8.2%
원 16
 
4.5%
터 15
 
4.3%
장 14
 
4.0%
센 13
 
3.7%
애 9
 
2.6%
인 9
 
2.6%
Other values (82) 153
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 35
 
9.9%
직 30
 
8.5%
재 29
 
8.2%
활 29
 
8.2%
원 16
 
4.5%
터 15
 
4.3%
장 14
 
4.0%
센 13
 
3.7%
애 9
 
2.6%
인 9
 
2.6%
Other values (82) 153
43.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 35
 
9.9%
직 30
 
8.5%
재 29
 
8.2%
활 29
 
8.2%
원 16
 
4.5%
터 15
 
4.3%
장 14
 
4.0%
센 13
 
3.7%
애 9
 
2.6%
인 9
 
2.6%
Other values (82) 153
43.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 35
 
9.9%
직 30
 
8.5%
재 29
 
8.2%
활 29
 
8.2%
원 16
 
4.5%
터 15
 
4.3%
장 14
 
4.0%
센 13
 
3.7%
애 9
 
2.6%
인 9
 
2.6%
Other values (82) 153
43.5%

시설장
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-13T22:19:36.806513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters129
Distinct characters69
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

Unique41 ?
Unique (%)95.3%

Sample

1st row김재영
2nd row오효미
3rd row박우춘
4th row서기석
5th row신봉민
ValueCountFrequency (%)
이상우 2
 
4.7%
노경수 1
 
2.3%
구영은 1
 
2.3%
장윤규 1
 
2.3%
박준형 1
 
2.3%
김성태 1
 
2.3%
최성재 1
 
2.3%
강은미 1
 
2.3%
박재석 1
 
2.3%
황소인 1
 
2.3%
Other values (32) 32
74.4%
2024-03-13T22:19:37.452787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 10
 
7.8%
정 7
 
5.4%
재 5
 
3.9%
은 5
 
3.9%
김 5
 
3.9%
성 4
 
3.1%
기 4
 
3.1%
영 4
 
3.1%
현 4
 
3.1%
우 3
 
2.3%
Other values (59) 78
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 10
 
7.8%
정 7
 
5.4%
재 5
 
3.9%
은 5
 
3.9%
김 5
 
3.9%
성 4
 
3.1%
기 4
 
3.1%
영 4
 
3.1%
현 4
 
3.1%
우 3
 
2.3%
Other values (59) 78
60.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 10
 
7.8%
정 7
 
5.4%
재 5
 
3.9%
은 5
 
3.9%
김 5
 
3.9%
성 4
 
3.1%
기 4
 
3.1%
영 4
 
3.1%
현 4
 
3.1%
우 3
 
2.3%
Other values (59) 78
60.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 10
 
7.8%
정 7
 
5.4%
재 5
 
3.9%
은 5
 
3.9%
김 5
 
3.9%
성 4
 
3.1%
기 4
 
3.1%
영 4
 
3.1%
현 4
 
3.1%
우 3
 
2.3%
Other values (59) 78
60.5%

주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-13T22:19:37.845323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length20.55814
Min length16

Characters and Unicode

Total characters884
Distinct characters111
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

Unique43 ?
Unique (%)100.0%

Sample

1st row울산광역시 울주군 두동명 천전각석길 11
2nd row부산광역시 강서구 대저로89번다길 70
3rd row경상남도 김해시 상동면 장척로 611-21
4th row부산광역시 강서구 가락대로 1469-7
5th row부산광역시 금정구 가마실로 65-7
ValueCountFrequency (%)
부산광역시 40
 
21.9%
부산진구 5
 
2.7%
연제구 4
 
2.2%
동래구 3
 
1.6%
사하구 3
 
1.6%
북구 3
 
1.6%
해운대구 3
 
1.6%
사상구 3
 
1.6%
금정구 3
 
1.6%
서구 2
 
1.1%
Other values (101) 114
62.3%
2024-03-13T22:19:38.340630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
16.4%
산 50
 
5.7%
부 46
 
5.2%
시 45
 
5.1%
광 42
 
4.8%
역 41
 
4.6%
로 41
 
4.6%
1 39
 
4.4%
구 38
 
4.3%
2 27
 
3.1%
Other values (101) 370
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 550
62.2%
Decimal Number 171
 
19.3%
Space Separator 145
 
16.4%
Dash Punctuation 10
 
1.1%
Other Punctuation 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 50
 
9.1%
부 46
 
8.4%
시 45
 
8.2%
광 42
 
7.6%
역 41
 
7.5%
로 41
 
7.5%
구 38
 
6.9%
길 21
 
3.8%
번 18
 
3.3%
대 13
 
2.4%
Other values (88) 195
35.5%
Decimal Number
ValueCountFrequency (%)
1 39
22.8%
2 27
15.8%
5 21
12.3%
9 17
9.9%
4 15
 
8.8%
0 15
 
8.8%
6 12
 
7.0%
7 12
 
7.0%
3 8
 
4.7%
8 5
 
2.9%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 550
62.2%
Common 334
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 50
 
9.1%
부 46
 
8.4%
시 45
 
8.2%
광 42
 
7.6%
역 41
 
7.5%
로 41
 
7.5%
구 38
 
6.9%
길 21
 
3.8%
번 18
 
3.3%
대 13
 
2.4%
Other values (88) 195
35.5%
Common
ValueCountFrequency (%)
145
43.4%
1 39
 
11.7%
2 27
 
8.1%
5 21
 
6.3%
9 17
 
5.1%
4 15
 
4.5%
0 15
 
4.5%
6 12
 
3.6%
7 12
 
3.6%
- 10
 
3.0%
Other values (3) 21
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 550
62.2%
ASCII 334
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
43.4%
1 39
 
11.7%
2 27
 
8.1%
5 21
 
6.3%
9 17
 
5.1%
4 15
 
4.5%
0 15
 
4.5%
6 12
 
3.6%
7 12
 
3.6%
- 10
 
3.0%
Other values (3) 21
 
6.3%
Hangul
ValueCountFrequency (%)
산 50
 
9.1%
부 46
 
8.4%
시 45
 
8.2%
광 42
 
7.6%
역 41
 
7.5%
로 41
 
7.5%
구 38
 
6.9%
길 21
 
3.8%
번 18
 
3.3%
대 13
 
2.4%
Other values (88) 195
35.5%

전화번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-13T22:19:38.588624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique43 ?
Unique (%)100.0%

Sample

1st row052-263-6634
2nd row051-868-3534
3rd row055-329-3666
4th row051-710-0913
5th row051-710-9747
ValueCountFrequency (%)
052-263-6634 1
 
2.3%
051-711-9598 1
 
2.3%
051-327-7720 1
 
2.3%
051-325-7300 1
 
2.3%
051-293-9104 1
 
2.3%
051-204-1042 1
 
2.3%
051-263-4214 1
 
2.3%
051-926-9005 1
 
2.3%
051-246-4084 1
 
2.3%
051-714-0030 1
 
2.3%
Other values (33) 33
76.7%
2024-03-13T22:19:38.913120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 86
16.7%
0 84
16.3%
1 74
14.3%
5 70
13.6%
2 34
 
6.6%
7 34
 
6.6%
3 31
 
6.0%
4 31
 
6.0%
6 25
 
4.8%
9 25
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
19.5%
1 74
17.2%
5 70
16.3%
2 34
7.9%
7 34
7.9%
3 31
 
7.2%
4 31
 
7.2%
6 25
 
5.8%
9 25
 
5.8%
8 22
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 86
16.7%
0 84
16.3%
1 74
14.3%
5 70
13.6%
2 34
 
6.6%
7 34
 
6.6%
3 31
 
6.0%
4 31
 
6.0%
6 25
 
4.8%
9 25
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 86
16.7%
0 84
16.3%
1 74
14.3%
5 70
13.6%
2 34
 
6.6%
7 34
 
6.6%
3 31
 
6.0%
4 31
 
6.0%
6 25
 
4.8%
9 25
 
4.8%

설치일
Date

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1988-05-26 00:00:00
Maximum2022-08-25 00:00:00
2024-03-13T22:19:39.052932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:19:39.187846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

법인명
Text

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-13T22:19:39.407185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.5813953
Min length2

Characters and Unicode

Total characters240
Distinct characters93
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

Unique35 ?
Unique (%)81.4%

Sample

1st row동향원
2nd row양덕사회문화원
3rd row베데스다
4th row수와천
5th row태양의집
ValueCountFrequency (%)
도영 2
 
4.4%
든솔 2
 
4.4%
태양의집 2
 
4.4%
장산복지 2
 
4.4%
부산광역시서구장애인협회 1
 
2.2%
천마 1
 
2.2%
동향원 1
 
2.2%
지원 1
 
2.2%
부산광역시한마음 1
 
2.2%
장애인지원센터 1
 
2.2%
Other values (31) 31
68.9%
2024-03-13T22:19:39.746909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 15
 
6.2%
복 10
 
4.2%
원 10
 
4.2%
장 9
 
3.8%
회 8
 
3.3%
재 8
 
3.3%
산 8
 
3.3%
인 8
 
3.3%
애 8
 
3.3%
협 7
 
2.9%
Other values (83) 149
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
99.2%
Space Separator 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 15
 
6.3%
복 10
 
4.2%
원 10
 
4.2%
장 9
 
3.8%
회 8
 
3.4%
재 8
 
3.4%
산 8
 
3.4%
인 8
 
3.4%
애 8
 
3.4%
협 7
 
2.9%
Other values (82) 147
61.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
99.2%
Common 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 15
 
6.3%
복 10
 
4.2%
원 10
 
4.2%
장 9
 
3.8%
회 8
 
3.4%
재 8
 
3.4%
산 8
 
3.4%
인 8
 
3.4%
애 8
 
3.4%
협 7
 
2.9%
Other values (82) 147
61.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
99.2%
ASCII 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 15
 
6.3%
복 10
 
4.2%
원 10
 
4.2%
장 9
 
3.8%
회 8
 
3.4%
재 8
 
3.4%
산 8
 
3.4%
인 8
 
3.4%
애 8
 
3.4%
협 7
 
2.9%
Other values (82) 147
61.8%
ASCII
ValueCountFrequency (%)
2
100.0%

경도
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05983
Minimum128.90159
Maximum129.20893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-13T22:19:39.953867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.90159
5-th percentile128.9619
Q1129.01811
median129.06577
Q3129.10604
95-th percentile129.17611
Maximum129.20893
Range0.3073422
Interquartile range (IQR)0.0879256

Descriptive statistics

Standard deviation0.068502316
Coefficient of variation (CV)0.00053077955
Kurtosis-0.16922496
Mean129.05983
Median Absolute Deviation (MAD)0.0457436
Skewness-0.09029117
Sum5549.5725
Variance0.0046925673
MonotonicityNot monotonic
2024-03-13T22:19:40.130409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
129.0657737 2
 
4.7%
129.1693365 1
 
2.3%
129.1059129 1
 
2.3%
128.9847515 1
 
2.3%
128.9879178 1
 
2.3%
128.9654722 1
 
2.3%
128.961507 1
 
2.3%
128.9793027 1
 
2.3%
129.0236363 1
 
2.3%
129.0190211 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
128.9015873 1
2.3%
128.9272621 1
2.3%
128.961507 1
2.3%
128.9654722 1
2.3%
128.96701 1
2.3%
128.9793027 1
2.3%
128.9847515 1
2.3%
128.9879178 1
2.3%
129.0003602 1
2.3%
129.0006 1
2.3%
ValueCountFrequency (%)
129.2089295 1
2.3%
129.1780278 1
2.3%
129.176865 1
2.3%
129.1693365 1
2.3%
129.1391381 1
2.3%
129.1258463 1
2.3%
129.1178065 1
2.3%
129.1158438 1
2.3%
129.1115173 1
2.3%
129.1082758 1
2.3%

위도
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.195124
Minimum35.062911
Maximum35.618001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-13T22:19:40.264215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.062911
5-th percentile35.091745
Q135.160817
median35.182018
Q335.217283
95-th percentile35.340797
Maximum35.618001
Range0.55509083
Interquartile range (IQR)0.056466015

Descriptive statistics

Standard deviation0.093702801
Coefficient of variation (CV)0.0026623802
Kurtosis9.3038341
Mean35.195124
Median Absolute Deviation (MAD)0.03331644
Skewness2.4419778
Sum1513.3903
Variance0.008780215
MonotonicityNot monotonic
2024-03-13T22:19:40.388410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
35.1852124 2
 
4.7%
35.6180015 1
 
2.3%
35.1794167 1
 
2.3%
35.1676099 1
 
2.3%
35.16438412 1
 
2.3%
35.10793909 1
 
2.3%
35.10376106 1
 
2.3%
35.06291067 1
 
2.3%
35.11099472 1
 
2.3%
35.08042192 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
35.06291067 1
2.3%
35.08042192 1
2.3%
35.0904098 1
2.3%
35.10376106 1
2.3%
35.10793909 1
2.3%
35.11045458 1
2.3%
35.11099472 1
2.3%
35.11798704 1
2.3%
35.11854861 1
2.3%
35.12814682 1
2.3%
ValueCountFrequency (%)
35.6180015 1
2.3%
35.38818036 1
2.3%
35.34243527 1
2.3%
35.32605636 1
2.3%
35.29569271 1
2.3%
35.24425233 1
2.3%
35.22473299 1
2.3%
35.22402173 1
2.3%
35.22204836 1
2.3%
35.21955549 1
2.3%

Interactions

2024-03-13T22:19:35.528488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:19:35.283135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:19:35.685008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:19:35.389860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:19:40.482444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설장주소전화번호설치일법인명경도위도
시설명1.0001.0001.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0000.9950.9820.0000.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
설치일1.0000.9951.0001.0001.0000.9820.0000.000
법인명1.0000.9821.0001.0000.9821.0000.8650.955
경도1.0000.0001.0001.0000.0000.8651.0000.704
위도1.0000.0001.0001.0000.0000.9550.7041.000
2024-03-13T22:19:40.594427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.0000.364
위도0.3641.000

Missing values

2024-03-13T22:19:35.823324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:19:35.946879image/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

시설명시설장주소전화번호설치일법인명경도위도
0동원직업재활원김재영울산광역시 울주군 두동명 천전각석길 11052-263-66341998-12-26동향원129.16933635.618001
1부산장애인직업재활시설오효미부산광역시 강서구 대저로89번다길 70051-868-35342010-03-01양덕사회문화원128.9670135.219232
2베데스다직업재활원박우춘경상남도 김해시 상동면 장척로 611-21055-329-36661998-12-26베데스다128.92726235.295693
3한마음직업재활센터서기석부산광역시 강서구 가락대로 1469-7051-710-09132017-08-28수와천128.90158735.195382
4가마실로직업재활원신봉민부산광역시 금정구 가마실로 65-7051-710-97472014-12-23태양의집129.09550135.224022
5금정구장애인근로작업장손현식부산광역시 금정구 서부로 77051-529-31452003-06-13부산광역시금정구장애인협회129.09896735.219555
6가꿈복지직업재활시설박승기부산광역시 금정구 금사로 9, 비2051-862-80902016-04-01가꿈복지129.10615935.215335
7공존직업재활센터이상우부산광역시 기장군 정관읍 예림1로 82051-711-88152018-12-11한국장애인공존협회129.2089335.326056
8동행과나눔박재일부산광역시 기장군 정관읍 병산로 127-25051-728-00702011-11-11반석복지재단129.17686535.342435
9든솔직업재활센터김태영부산광역시 남구 유엔로25번길 58051-612-00812015-04-01든솔129.07781135.128147
시설명시설장주소전화번호설치일법인명경도위도
33두배일터장윤규경상남도 양산시 신명3길 125055-365-28201988-05-26가온129.13913835.38818
34부산직업재활원배재훈부산광역시 연제구 톳고개로 48051-759-92131999-05-11성우원129.10205335.181408
35양지비전센터탁정호부산광역시 연제구 화지로 109051-503-60012001-04-19양지동산129.06577435.185212
36양지직업재활원박혜성부산광역시 연제구 화지로 109051-506-54322000-06-29양지직업재활원129.06577435.185212
37태양의집직업재활원황삼복부산광역시 연제구 고분로242번길 56051-754-97472006-01-13태양의집129.10827635.182018
38천성직업재활원김창민부산광역시 영도구 일산봉로 95051-418-44481998-12-07천성직업재활원129.06507535.09041
39부산안마수련원박정은부산광역시 중구 중앙대로 143-1051-462-21062007-07-13대한안마사협회129.03731935.110455
40영광직업재활원박현기부산광역시 해운대구 삼어로91번길 11051-523-54211998-12-29동래원129.11780735.206105
41장산직업재활센터구영은부산광역시 해운대구 세실로27번길 19051-703-16782019-12-06장산복지129.17802835.168514
42해운대장애인근로사업장조혜정부산광역시 해운대구 석대로 29051-531-11162013-06-03부산광역시해운대구장애인협회129.12584635.222048