Overview

Dataset statistics

Number of variables7
Number of observations80
Missing cells5
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory60.6 B

Variable types

Numeric3
Text4

Dataset

Description부산광역시_장애인활동지원기관현황_20240322
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3076561

Alerts

팩스번호 has 5 (6.2%) missing valuesMissing
연번 has unique valuesUnique
제공기관명 has unique valuesUnique
주소 has unique valuesUnique
기관 전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:00:49.066485
Analysis finished2024-04-06 08:00:51.074971
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T17:00:51.194813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2024-04-06T17:00:51.575875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%
71 1
1.2%

제공기관명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:00:52.040492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length12.1375
Min length6

Characters and Unicode

Total characters971
Distinct characters133
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

Unique80 ?
Unique (%)100.0%

Sample

1st row가람장애인자립생활센터
2nd row강서구지역자활센터
3rd row명지주는사랑장애인활동지원센터
4th row금정구장애인협회
5th row금정구지역자활센터
ValueCountFrequency (%)
사회복지법인 3
 
3.3%
사)부산광역시장애인복지연합회 2
 
2.2%
거제온사랑장애인활동지원센터 1
 
1.1%
가람복지센터 1
 
1.1%
사)부산시연제구장애인협회 1
 
1.1%
사단법인부산광역시수영구장애인협회 1
 
1.1%
부산가톨릭농아인복지회 1
 
1.1%
서구한빛장애인자립생활센터 1
 
1.1%
서구온사랑장애인활동지원센터 1
 
1.1%
사단법인부산광역시서구장애인협회 1
 
1.1%
Other values (78) 78
85.7%
2024-04-06T17:00:52.536860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 67
 
6.9%
장 63
 
6.5%
애 58
 
6.0%
지 53
 
5.5%
센 38
 
3.9%
터 38
 
3.9%
사 37
 
3.8%
회 34
 
3.5%
활 34
 
3.5%
부 30
 
3.1%
Other values (123) 519
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 926
95.4%
Close Punctuation 17
 
1.8%
Open Punctuation 15
 
1.5%
Space Separator 11
 
1.1%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 67
 
7.2%
장 63
 
6.8%
애 58
 
6.3%
지 53
 
5.7%
센 38
 
4.1%
터 38
 
4.1%
사 37
 
4.0%
회 34
 
3.7%
활 34
 
3.7%
부 30
 
3.2%
Other values (118) 474
51.2%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 926
95.4%
Common 45
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 67
 
7.2%
장 63
 
6.8%
애 58
 
6.3%
지 53
 
5.7%
센 38
 
4.1%
터 38
 
4.1%
사 37
 
4.0%
회 34
 
3.7%
활 34
 
3.7%
부 30
 
3.2%
Other values (118) 474
51.2%
Common
ValueCountFrequency (%)
) 17
37.8%
( 15
33.3%
11
24.4%
2 1
 
2.2%
1 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 926
95.4%
ASCII 45
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 67
 
7.2%
장 63
 
6.8%
애 58
 
6.3%
지 53
 
5.7%
센 38
 
4.1%
터 38
 
4.1%
사 37
 
4.0%
회 34
 
3.7%
활 34
 
3.7%
부 30
 
3.2%
Other values (118) 474
51.2%
ASCII
ValueCountFrequency (%)
) 17
37.8%
( 15
33.3%
11
24.4%
2 1
 
2.2%
1 1
 
2.2%

주소
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:00:52.884760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length32.6625
Min length19

Characters and Unicode

Total characters2613
Distinct characters207
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

Unique80 ?
Unique (%)100.0%

Sample

1st row부산광역시 강서구 대저로255번길 29 (대저1동)
2nd row부산광역시 강서구 공항로811번가길 30 (대저2동)
3rd row부산광역시 강서구 명지국제8로 290 (명지동)디앤씨빌딩 제3층 제302호
4th row부산광역시 금정구 동현로 140 (서동)
5th row부산광역시 금정구 중앙대로 2049 (남산동)
ValueCountFrequency (%)
부산광역시 80
 
16.1%
3층 11
 
2.2%
해운대구 8
 
1.6%
중앙대로 8
 
1.6%
부산진구 8
 
1.6%
동구 7
 
1.4%
동래구 7
 
1.4%
연제구 6
 
1.2%
금정구 5
 
1.0%
북구 5
 
1.0%
Other values (267) 353
70.9%
2024-04-06T17:00:53.551838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
 
16.6%
동 111
 
4.2%
산 95
 
3.6%
부 93
 
3.6%
, 84
 
3.2%
시 83
 
3.2%
광 82
 
3.1%
구 81
 
3.1%
1 81
 
3.1%
역 81
 
3.1%
Other values (197) 1389
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1519
58.1%
Space Separator 433
 
16.6%
Decimal Number 409
 
15.7%
Other Punctuation 84
 
3.2%
Close Punctuation 74
 
2.8%
Open Punctuation 74
 
2.8%
Dash Punctuation 14
 
0.5%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 111
 
7.3%
산 95
 
6.3%
부 93
 
6.1%
시 83
 
5.5%
광 82
 
5.4%
구 81
 
5.3%
역 81
 
5.3%
로 77
 
5.1%
대 48
 
3.2%
층 32
 
2.1%
Other values (176) 736
48.5%
Decimal Number
ValueCountFrequency (%)
1 81
19.8%
3 57
13.9%
2 55
13.4%
0 55
13.4%
4 35
8.6%
6 34
8.3%
5 32
 
7.8%
9 24
 
5.9%
7 23
 
5.6%
8 13
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
S 1
20.0%
I 1
20.0%
C 1
20.0%
T 1
20.0%
Space Separator
ValueCountFrequency (%)
433
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1519
58.1%
Common 1089
41.7%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 111
 
7.3%
산 95
 
6.3%
부 93
 
6.1%
시 83
 
5.5%
광 82
 
5.4%
구 81
 
5.3%
역 81
 
5.3%
로 77
 
5.1%
대 48
 
3.2%
층 32
 
2.1%
Other values (176) 736
48.5%
Common
ValueCountFrequency (%)
433
39.8%
, 84
 
7.7%
1 81
 
7.4%
) 74
 
6.8%
( 74
 
6.8%
3 57
 
5.2%
2 55
 
5.1%
0 55
 
5.1%
4 35
 
3.2%
6 34
 
3.1%
Other values (6) 107
 
9.8%
Latin
ValueCountFrequency (%)
K 1
20.0%
S 1
20.0%
I 1
20.0%
C 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1519
58.1%
ASCII 1094
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
39.6%
, 84
 
7.7%
1 81
 
7.4%
) 74
 
6.8%
( 74
 
6.8%
3 57
 
5.2%
2 55
 
5.0%
0 55
 
5.0%
4 35
 
3.2%
6 34
 
3.1%
Other values (11) 112
 
10.2%
Hangul
ValueCountFrequency (%)
동 111
 
7.3%
산 95
 
6.3%
부 93
 
6.1%
시 83
 
5.5%
광 82
 
5.4%
구 81
 
5.3%
역 81
 
5.3%
로 77
 
5.1%
대 48
 
3.2%
층 32
 
2.1%
Other values (176) 736
48.5%

기관 전화번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:00:53.948344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.9875
Min length11

Characters and Unicode

Total characters959
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

Unique80 ?
Unique (%)100.0%

Sample

1st row051-971-5933
2nd row051-973-6598
3rd row051-895-8090
4th row051-524-4323
5th row051-508-2163
ValueCountFrequency (%)
051-971-5933 1
 
1.2%
051-973-6598 1
 
1.2%
051-866-3321 1
 
1.2%
051-756-1597 1
 
1.2%
051-752-8771 1
 
1.2%
051-253-7707 1
 
1.2%
051-248-5757 1
 
1.2%
051-242-7069 1
 
1.2%
051-256-0382 1
 
1.2%
051-710-2750 1
 
1.2%
Other values (70) 70
87.5%
2024-04-06T17:00:54.576298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 160
16.7%
- 160
16.7%
0 145
15.1%
1 126
13.1%
3 74
7.7%
7 63
 
6.6%
2 62
 
6.5%
8 53
 
5.5%
4 44
 
4.6%
6 42
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 799
83.3%
Dash Punctuation 160
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 160
20.0%
0 145
18.1%
1 126
15.8%
3 74
9.3%
7 63
 
7.9%
2 62
 
7.8%
8 53
 
6.6%
4 44
 
5.5%
6 42
 
5.3%
9 30
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 160
16.7%
- 160
16.7%
0 145
15.1%
1 126
13.1%
3 74
7.7%
7 63
 
6.6%
2 62
 
6.5%
8 53
 
5.5%
4 44
 
4.6%
6 42
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 160
16.7%
- 160
16.7%
0 145
15.1%
1 126
13.1%
3 74
7.7%
7 63
 
6.6%
2 62
 
6.5%
8 53
 
5.5%
4 44
 
4.6%
6 42
 
4.4%

팩스번호
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing5
Missing (%)6.2%
Memory size772.0 B
2024-04-06T17:00:54.937894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026667
Min length12

Characters and Unicode

Total characters902
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

Unique75 ?
Unique (%)100.0%

Sample

1st row051-831-5933
2nd row051-973-6997
3rd row051-895-8090
4th row051-529-3144
5th row051-508-2123
ValueCountFrequency (%)
051-722-2276 1
 
1.3%
051-507-9603 1
 
1.3%
051-208-7822 1
 
1.3%
051-710-2751 1
 
1.3%
051-866-3323 1
 
1.3%
051-755-1596 1
 
1.3%
051-753-8654 1
 
1.3%
051-253-7710 1
 
1.3%
051-242-7068 1
 
1.3%
051-255-0382 1
 
1.3%
Other values (65) 65
86.7%
2024-04-06T17:00:55.517898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 150
16.6%
0 142
15.7%
5 141
15.6%
1 114
12.6%
2 71
7.9%
3 61
6.8%
7 50
 
5.5%
8 50
 
5.5%
6 48
 
5.3%
4 45
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 752
83.4%
Dash Punctuation 150
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 142
18.9%
5 141
18.8%
1 114
15.2%
2 71
9.4%
3 61
8.1%
7 50
 
6.6%
8 50
 
6.6%
6 48
 
6.4%
4 45
 
6.0%
9 30
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 150
16.6%
0 142
15.7%
5 141
15.6%
1 114
12.6%
2 71
7.9%
3 61
6.8%
7 50
 
5.5%
8 50
 
5.5%
6 48
 
5.3%
4 45
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 150
16.6%
0 142
15.7%
5 141
15.6%
1 114
12.6%
2 71
7.9%
3 61
6.8%
7 50
 
5.5%
8 50
 
5.5%
6 48
 
5.3%
4 45
 
5.0%

위도
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.168564
Minimum35.051069
Maximum35.336429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T17:00:55.689388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.051069
5-th percentile35.075727
Q135.116343
median35.173263
Q335.205786
95-th percentile35.267129
Maximum35.336429
Range0.2853601
Interquartile range (IQR)0.089442703

Descriptive statistics

Standard deviation0.059155155
Coefficient of variation (CV)0.0016820463
Kurtosis-0.13807407
Mean35.168564
Median Absolute Deviation (MAD)0.04212287
Skewness0.24188278
Sum2813.4852
Variance0.0034993323
MonotonicityNot monotonic
2024-04-06T17:00:55.858299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.21506496 1
 
1.2%
35.26712211 1
 
1.2%
35.18928974 1
 
1.2%
35.17379736 1
 
1.2%
35.1585039 1
 
1.2%
35.15984784 1
 
1.2%
35.11155253 1
 
1.2%
35.09620231 1
 
1.2%
35.09844517 1
 
1.2%
35.11502544 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
35.05106874 1
1.2%
35.06005818 1
1.2%
35.07221265 1
1.2%
35.07526852 1
1.2%
35.0757512 1
1.2%
35.08276898 1
1.2%
35.08474718 1
1.2%
35.08616799 1
1.2%
35.09458925 1
1.2%
35.09620231 1
1.2%
ValueCountFrequency (%)
35.33642884 1
1.2%
35.30882079 1
1.2%
35.26763317 1
1.2%
35.26726119 1
1.2%
35.26712211 1
1.2%
35.26570039 1
1.2%
35.24445208 1
1.2%
35.2380945 1
1.2%
35.23779756 1
1.2%
35.23466847 1
1.2%

경도
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06447
Minimum128.92439
Maximum129.24372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T17:00:56.056636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.92439
5-th percentile128.96978
Q1129.01989
median129.06799
Q3129.09264
95-th percentile129.17372
Maximum129.24372
Range0.3193245
Interquartile range (IQR)0.072750925

Descriptive statistics

Standard deviation0.061668428
Coefficient of variation (CV)0.00047781102
Kurtosis0.59000433
Mean129.06447
Median Absolute Deviation (MAD)0.031498
Skewness0.43505753
Sum10325.158
Variance0.003802995
MonotonicityNot monotonic
2024-04-06T17:00:56.270480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9807339 1
 
1.2%
129.017554 1
 
1.2%
129.0715476 1
 
1.2%
129.0914337 1
 
1.2%
129.1226201 1
 
1.2%
129.1108064 1
 
1.2%
129.0173467 1
 
1.2%
129.0247453 1
 
1.2%
129.0206714 1
 
1.2%
129.0159748 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
128.9243924 1
1.2%
128.9567909 1
1.2%
128.9597979 1
1.2%
128.9654722 1
1.2%
128.9700082 1
1.2%
128.9776559 1
1.2%
128.9807339 1
1.2%
128.980913 1
1.2%
128.9890512 1
1.2%
128.989656 1
1.2%
ValueCountFrequency (%)
129.2437169 1
1.2%
129.2195195 1
1.2%
129.2176803 1
1.2%
129.1776682 1
1.2%
129.1735108 1
1.2%
129.1574952 1
1.2%
129.1564811 1
1.2%
129.1548413 1
1.2%
129.1254057 1
1.2%
129.1241889 1
1.2%

Interactions

2024-04-06T17:00:50.363590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:49.597096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:50.051759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:50.488004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:49.758954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:50.160632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:50.642094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:49.936358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:50.262474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:00:56.685910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제공기관명주소기관 전화번호팩스번호위도경도
연번1.0001.0001.0001.0001.0000.6680.801
제공기관명1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
기관 전화번호1.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.000
위도0.6681.0001.0001.0001.0001.0000.616
경도0.8011.0001.0001.0001.0000.6161.000
2024-04-06T17:00:57.758383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.2980.061
위도-0.2981.0000.453
경도0.0610.4531.000

Missing values

2024-04-06T17:00:50.851952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:00:51.005980image/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

연번제공기관명주소기관 전화번호팩스번호위도경도
01가람장애인자립생활센터부산광역시 강서구 대저로255번길 29 (대저1동)051-971-5933051-831-593335.215065128.980734
12강서구지역자활센터부산광역시 강서구 공항로811번가길 30 (대저2동)051-973-6598051-973-699735.178705128.956791
23명지주는사랑장애인활동지원센터부산광역시 강서구 명지국제8로 290 (명지동)디앤씨빌딩 제3층 제302호051-895-8090051-895-809035.097281128.924392
34금정구장애인협회부산광역시 금정구 동현로 140 (서동)051-524-4323051-529-314435.218329129.098061
45금정구지역자활센터부산광역시 금정구 중앙대로 2049 (남산동)051-508-2163051-508-212335.267261129.092468
56금정장애인자립생활센터부산광역시 금정구 중앙대로 1675, 2층 (부곡동, 우신빌딩)051-582-3334051-582-323435.234037129.091417
67몽실협동조합부산광역시 금정구 금단로 210-3, 101호 (남산동)051-715-0036<NA>35.267633129.093198
78부산장애인활동지원센터부산광역시 금정구 중앙대로 1610, 5층 501호 (부곡동)051-583-5537<NA>35.228005129.090655
89(사)부산장애인부모회 기장지회부산광역시 기장군 장안읍 장곡길 173, 2층051-727-0147051-723-200535.308821129.243717
910기장장애인복지관부산광역시 기장군 정관면 병산로 42-15051-727-3088051-727-309035.336429129.173511
연번제공기관명주소기관 전화번호팩스번호위도경도
7071부산중증장애인자립생활협회부산광역시 중구 대영로 233, 1층 (영주동)051-468-5787051-468-577635.11233129.036192
7172장애우권익문제연구소 부산지소부산광역시 중구 중앙대로 131 (대창동1가, 센트럴오피스텔 1404~1406호)051-465-4483051-442-088335.109458129.036802
7273(사)부산장애인봉사협회해운대구지회부산광역시 해운대구 반여로 10, 3층 (반여동)051-731-3535051-731-323235.193885129.118561
7374(사)부산해운대구장애인협회부산광역시 해운대구 해운대로570번길 8, 9층 (우동, 유성프라자)051-731-1116051-744-114635.160562129.154841
7475(사)장애인정보예술협회부산광역시 해운대구 반송동 62-34051-545-2777051-545-377735.233071129.157495
7576대성원(대성재가장애인복지센터)부산광역시 해운대구 선수촌로 181-2, 3층 (반여동, 늘푸른빌딩)051-784-0029070-8610-062035.209025129.123777
7677사랑샘장애인자립생활센터부산광역시 해운대구 센텀북대로 60, 503호 (재송동, 센텀IS타워)051-525-2678051-782-260835.176641129.125406
7778사랑샘재가요양복지센터부산광역시 해운대구 반여동 1014-7051-525-9188051-526-260835.206227129.124189
7879해운대장애인자립생활센터부산광역시 해운대구 세실로 64, 139호 (좌동, 화목데파트상가 지하)051-704-7707051-704-770835.170979129.177668
7980해운대지역자활센터부산광역시 해운대구 윗반송로 64, 3층 (반송동, KT빌딩 3층)051-543-0234051-545-254235.229736129.156481