Overview

Dataset statistics

Number of variables9
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory76.0 B

Variable types

Categorical3
Text6

Dataset

Description부산광역시_푸드뱅크및푸드마켓현황_20240301
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15126959

Alerts

사업장명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:18:54.382547
Analysis finished2024-03-13 13:18:55.039229
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
기초푸드뱅크
16 
기초푸드마켓
16 
광역지원센터
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row광역지원센터
2nd row기초푸드뱅크
3rd row기초푸드뱅크
4th row기초푸드뱅크
5th row기초푸드뱅크

Common Values

ValueCountFrequency (%)
기초푸드뱅크 16
48.5%
기초푸드마켓 16
48.5%
광역지원센터 1
 
3.0%

Length

2024-03-13T22:18:55.142893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:18:55.286444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기초푸드뱅크 16
48.5%
기초푸드마켓 16
48.5%
광역지원센터 1
 
3.0%

시군구
Text

Distinct17
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-13T22:18:55.463770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8181818
Min length2

Characters and Unicode

Total characters93
Distinct characters28
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

Unique1 ?
Unique (%)3.0%

Sample

1st row부산시
2nd row강서구
3rd row금정구
4th row기장군
5th row남구
ValueCountFrequency (%)
북구 2
 
6.1%
사상구 2
 
6.1%
중구 2
 
6.1%
영도구 2
 
6.1%
연제구 2
 
6.1%
수영구 2
 
6.1%
서구 2
 
6.1%
사하구 2
 
6.1%
해운대구 2
 
6.1%
강서구 2
 
6.1%
Other values (7) 13
39.4%
2024-03-13T22:18:55.795627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 30
32.3%
서 4
 
4.3%
영 4
 
4.3%
동 4
 
4.3%
사 4
 
4.3%
부 3
 
3.2%
산 3
 
3.2%
북 2
 
2.2%
대 2
 
2.2%
중 2
 
2.2%
Other values (18) 35
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 30
32.3%
서 4
 
4.3%
영 4
 
4.3%
동 4
 
4.3%
사 4
 
4.3%
부 3
 
3.2%
산 3
 
3.2%
북 2
 
2.2%
대 2
 
2.2%
중 2
 
2.2%
Other values (18) 35
37.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 30
32.3%
서 4
 
4.3%
영 4
 
4.3%
동 4
 
4.3%
사 4
 
4.3%
부 3
 
3.2%
산 3
 
3.2%
북 2
 
2.2%
대 2
 
2.2%
중 2
 
2.2%
Other values (18) 35
37.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 30
32.3%
서 4
 
4.3%
영 4
 
4.3%
동 4
 
4.3%
사 4
 
4.3%
부 3
 
3.2%
산 3
 
3.2%
북 2
 
2.2%
대 2
 
2.2%
중 2
 
2.2%
Other values (18) 35
37.6%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-13T22:18:56.011367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.6363636
Min length7

Characters and Unicode

Total characters285
Distinct characters36
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

Unique33 ?
Unique (%)100.0%

Sample

1st row부산광역푸드뱅크
2nd row강서구기초푸드뱅크
3rd row금정구기초푸드뱅크
4th row기장군기초푸드뱅크
5th row남구기초푸드뱅크
ValueCountFrequency (%)
부산광역푸드뱅크 1
 
3.0%
강서구기초푸드마켓 1
 
3.0%
중구기초푸드마켓 1
 
3.0%
영도구푸드마켓 1
 
3.0%
연제구기초푸드마켓 1
 
3.0%
수영구기초푸드마켓 1
 
3.0%
서구기초푸드마켓 1
 
3.0%
사하구기초푸드마켓 1
 
3.0%
사상구기초푸드마켓 1
 
3.0%
북구기초푸드마켓 1
 
3.0%
Other values (23) 23
69.7%
2024-03-13T22:18:56.401314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 33
11.6%
푸 33
11.6%
드 33
11.6%
초 31
10.9%
구 27
9.5%
뱅 17
 
6.0%
크 17
 
6.0%
켓 16
 
5.6%
마 16
 
5.6%
영 4
 
1.4%
Other values (26) 58
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 33
11.6%
푸 33
11.6%
드 33
11.6%
초 31
10.9%
구 27
9.5%
뱅 17
 
6.0%
크 17
 
6.0%
켓 16
 
5.6%
마 16
 
5.6%
영 4
 
1.4%
Other values (26) 58
20.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 33
11.6%
푸 33
11.6%
드 33
11.6%
초 31
10.9%
구 27
9.5%
뱅 17
 
6.0%
크 17
 
6.0%
켓 16
 
5.6%
마 16
 
5.6%
영 4
 
1.4%
Other values (26) 58
20.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 33
11.6%
푸 33
11.6%
드 33
11.6%
초 31
10.9%
구 27
9.5%
뱅 17
 
6.0%
크 17
 
6.0%
켓 16
 
5.6%
마 16
 
5.6%
영 4
 
1.4%
Other values (26) 58
20.4%

신고기준
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
당연
17 
임의
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row당연
2nd row임의
3rd row임의
4th row임의
5th row당연

Common Values

ValueCountFrequency (%)
당연 17
51.5%
임의 16
48.5%

Length

2024-03-13T22:18:56.536958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:18:56.644071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당연 17
51.5%
임의 16
48.5%

사업장 소재지
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-13T22:18:56.888718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length25.151515
Min length20

Characters and Unicode

Total characters830
Distinct characters115
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

Unique31 ?
Unique (%)93.9%

Sample

1st row부산광역시 동래구 낙민로 25, 부산사회복지종합센터 302호
2nd row부산광역시 강서구 순아강변길 5(명지동)
3rd row부산광역시 금정구 중앙대로2349번길 3(노포동)
4th row부산시 기장군 차성로288번길 27, 2층
5th row부산광역시 남구 동제당로 258(우암동)
ValueCountFrequency (%)
부산광역시 28
 
19.4%
부산시 5
 
3.5%
동래구 3
 
2.1%
남구 2
 
1.4%
해운대구 2
 
1.4%
강서구 2
 
1.4%
중구 2
 
1.4%
서구 2
 
1.4%
영도구 2
 
1.4%
연제구 2
 
1.4%
Other values (82) 94
65.3%
2024-03-13T22:18:57.337430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
13.5%
동 42
 
5.1%
산 38
 
4.6%
부 36
 
4.3%
시 34
 
4.1%
구 33
 
4.0%
로 32
 
3.9%
) 30
 
3.6%
( 29
 
3.5%
역 28
 
3.4%
Other values (105) 416
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
61.6%
Decimal Number 134
 
16.1%
Space Separator 112
 
13.5%
Close Punctuation 30
 
3.6%
Open Punctuation 29
 
3.5%
Other Punctuation 7
 
0.8%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
 
8.2%
산 38
 
7.4%
부 36
 
7.0%
시 34
 
6.7%
구 33
 
6.5%
로 32
 
6.3%
역 28
 
5.5%
광 28
 
5.5%
대 16
 
3.1%
길 13
 
2.5%
Other values (90) 211
41.3%
Decimal Number
ValueCountFrequency (%)
1 28
20.9%
2 24
17.9%
5 14
10.4%
4 13
9.7%
8 12
9.0%
9 11
 
8.2%
3 10
 
7.5%
7 8
 
6.0%
6 7
 
5.2%
0 7
 
5.2%
Space Separator
ValueCountFrequency (%)
112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
61.6%
Common 319
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
 
8.2%
산 38
 
7.4%
부 36
 
7.0%
시 34
 
6.7%
구 33
 
6.5%
로 32
 
6.3%
역 28
 
5.5%
광 28
 
5.5%
대 16
 
3.1%
길 13
 
2.5%
Other values (90) 211
41.3%
Common
ValueCountFrequency (%)
112
35.1%
) 30
 
9.4%
( 29
 
9.1%
1 28
 
8.8%
2 24
 
7.5%
5 14
 
4.4%
4 13
 
4.1%
8 12
 
3.8%
9 11
 
3.4%
3 10
 
3.1%
Other values (5) 36
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
61.6%
ASCII 319
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
35.1%
) 30
 
9.4%
( 29
 
9.1%
1 28
 
8.8%
2 24
 
7.5%
5 14
 
4.4%
4 13
 
4.1%
8 12
 
3.8%
9 11
 
3.4%
3 10
 
3.1%
Other values (5) 36
 
11.3%
Hangul
ValueCountFrequency (%)
동 42
 
8.2%
산 38
 
7.4%
부 36
 
7.0%
시 34
 
6.7%
구 33
 
6.5%
로 32
 
6.3%
역 28
 
5.5%
광 28
 
5.5%
대 16
 
3.1%
길 13
 
2.5%
Other values (90) 211
41.3%

연락처(대표번호)
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-13T22:18:57.598155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.060606
Min length12

Characters and Unicode

Total characters398
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row051-791-1377
2nd row051-271-0560~1
3rd row051)508-1998
4th row051-724-3457
5th row051)647-3655
ValueCountFrequency (%)
051)243-1367 2
 
6.1%
051-791-1377 1
 
3.0%
051)711-1378 1
 
3.0%
051-464-1388 1
 
3.0%
051)405-1377 1
 
3.0%
051-714-1378 1
 
3.0%
051)756-1925 1
 
3.0%
051-262-1377 1
 
3.0%
051)325-1399 1
 
3.0%
051)335-8377 1
 
3.0%
Other values (22) 22
66.7%
2024-03-13T22:18:57.996893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 64
16.1%
5 54
13.6%
0 49
12.3%
- 49
12.3%
3 41
10.3%
7 39
9.8%
6 23
 
5.8%
4 19
 
4.8%
) 17
 
4.3%
2 16
 
4.0%
Other values (3) 27
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.2%
Dash Punctuation 49
 
12.3%
Close Punctuation 17
 
4.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 64
19.3%
5 54
16.3%
0 49
14.8%
3 41
12.4%
7 39
11.8%
6 23
 
6.9%
4 19
 
5.7%
2 16
 
4.8%
8 16
 
4.8%
9 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 398
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 64
16.1%
5 54
13.6%
0 49
12.3%
- 49
12.3%
3 41
10.3%
7 39
9.8%
6 23
 
5.8%
4 19
 
4.8%
) 17
 
4.3%
2 16
 
4.0%
Other values (3) 27
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 398
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 64
16.1%
5 54
13.6%
0 49
12.3%
- 49
12.3%
3 41
10.3%
7 39
9.8%
6 23
 
5.8%
4 19
 
4.8%
) 17
 
4.3%
2 16
 
4.0%
Other values (3) 27
6.8%

팩스번호
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-13T22:18:58.216290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.121212
Min length12

Characters and Unicode

Total characters400
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)87.9%

Sample

1st row051-714-3096
2nd row051-271-0562
3rd row051)508-6550
4th row051-724-3459
5th row051)647-3656
ValueCountFrequency (%)
0505-877-5101 2
 
6.1%
051)243-1366 2
 
6.1%
051)711-1376 1
 
3.0%
051-714-3096 1
 
3.0%
051)405-4377 1
 
3.0%
070-7543-3814 1
 
3.0%
051)756-1926 1
 
3.0%
051-262-1370 1
 
3.0%
051)324-1399 1
 
3.0%
051)335-8378 1
 
3.0%
Other values (21) 21
63.6%
2024-03-13T22:18:58.575076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 58
14.5%
0 56
14.0%
5 56
14.0%
- 49
12.2%
3 30
7.5%
7 26
6.5%
2 26
6.5%
4 26
6.5%
6 24
6.0%
8 18
 
4.5%
Other values (2) 31
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 334
83.5%
Dash Punctuation 49
 
12.2%
Close Punctuation 17
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 58
17.4%
0 56
16.8%
5 56
16.8%
3 30
9.0%
7 26
7.8%
2 26
7.8%
4 26
7.8%
6 24
7.2%
8 18
 
5.4%
9 14
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 58
14.5%
0 56
14.0%
5 56
14.0%
- 49
12.2%
3 30
7.5%
7 26
6.5%
2 26
6.5%
4 26
6.5%
6 24
6.0%
8 18
 
4.5%
Other values (2) 31
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 58
14.5%
0 56
14.0%
5 56
14.0%
- 49
12.2%
3 30
7.5%
7 26
6.5%
2 26
6.5%
4 26
6.5%
6 24
6.0%
8 18
 
4.5%
Other values (2) 31
7.8%

운영주체 분류
Categorical

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
1. 사회복지법인
23 
3.사단법인
5 
2. 재단법인
 
2
2.재단법인
 
2
8.비영리 민간단체
 
1

Length

Max length10
Median length9
Mean length8.2727273
Min length6

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row1. 사회복지법인
2nd row1. 사회복지법인
3rd row1. 사회복지법인
4th row2. 재단법인
5th row1. 사회복지법인

Common Values

ValueCountFrequency (%)
1. 사회복지법인 23
69.7%
3.사단법인 5
 
15.2%
2. 재단법인 2
 
6.1%
2.재단법인 2
 
6.1%
8.비영리 민간단체 1
 
3.0%

Length

2024-03-13T22:18:58.719212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:18:58.859512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
39.0%
사회복지법인 23
39.0%
3.사단법인 5
 
8.5%
2 2
 
3.4%
재단법인 2
 
3.4%
2.재단법인 2
 
3.4%
8.비영리 1
 
1.7%
민간단체 1
 
1.7%

운영주체명
Text

Distinct21
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-13T22:18:59.053355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.6363636
Min length8

Characters and Unicode

Total characters318
Distinct characters59
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

Unique10 ?
Unique (%)30.3%

Sample

1st row부산광역시사회복지협의회
2nd row낙동종합사회복지관
3rd row남광종합사회복지관
4th row대한성공회유지재단
5th row남구종합사회복지관
ValueCountFrequency (%)
사단법인 5
 
12.8%
둥지복지마을 3
 
7.7%
상리종합사회복지관 2
 
5.1%
해운대종합사회복지관 2
 
5.1%
동래종합사회복지관 2
 
5.1%
당감종합사회복지관 2
 
5.1%
국제청소년복지연맹 2
 
5.1%
백양종합사회복지관 2
 
5.1%
중구종합사회복지관 2
 
5.1%
사회복지법인팔복 2
 
5.1%
Other values (13) 15
38.5%
2024-03-13T22:18:59.444310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 35
 
11.0%
복 33
 
10.4%
사 31
 
9.7%
회 28
 
8.8%
합 23
 
7.2%
종 22
 
6.9%
관 22
 
6.9%
인 8
 
2.5%
법 8
 
2.5%
단 6
 
1.9%
Other values (49) 102
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 312
98.1%
Space Separator 6
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 35
 
11.2%
복 33
 
10.6%
사 31
 
9.9%
회 28
 
9.0%
합 23
 
7.4%
종 22
 
7.1%
관 22
 
7.1%
인 8
 
2.6%
법 8
 
2.6%
단 6
 
1.9%
Other values (48) 96
30.8%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 312
98.1%
Common 6
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 35
 
11.2%
복 33
 
10.6%
사 31
 
9.9%
회 28
 
9.0%
합 23
 
7.4%
종 22
 
7.1%
관 22
 
7.1%
인 8
 
2.6%
법 8
 
2.6%
단 6
 
1.9%
Other values (48) 96
30.8%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 312
98.1%
ASCII 6
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 35
 
11.2%
복 33
 
10.6%
사 31
 
9.9%
회 28
 
9.0%
합 23
 
7.4%
종 22
 
7.1%
관 22
 
7.1%
인 8
 
2.6%
법 8
 
2.6%
단 6
 
1.9%
Other values (48) 96
30.8%
ASCII
ValueCountFrequency (%)
6
100.0%

Correlations

2024-03-13T22:18:59.560645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군구사업장명신고기준사업장 소재지연락처(대표번호)팩스번호운영주체 분류운영주체명
구분1.0000.3041.0000.2040.8720.8720.7730.2040.796
시군구0.3041.0001.0000.5981.0001.0001.0000.7240.986
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.000
신고기준0.2040.5981.0001.0000.0000.0000.6660.0000.000
사업장 소재지0.8721.0001.0000.0001.0001.0001.0001.0001.000
연락처(대표번호)0.8721.0001.0000.0001.0001.0001.0001.0001.000
팩스번호0.7731.0001.0000.6661.0001.0001.0001.0001.000
운영주체 분류0.2040.7241.0000.0001.0001.0001.0001.0001.000
운영주체명0.7960.9861.0000.0001.0001.0001.0001.0001.000
2024-03-13T22:18:59.736952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준운영주체 분류구분
신고기준1.0000.0000.327
운영주체 분류0.0001.0000.137
구분0.3270.1371.000
2024-03-13T22:18:59.862664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분신고기준운영주체 분류
구분1.0000.3270.137
신고기준0.3271.0000.000
운영주체 분류0.1370.0001.000

Missing values

2024-03-13T22:18:54.817576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:18:54.965511image/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

구분시군구사업장명신고기준사업장 소재지연락처(대표번호)팩스번호운영주체 분류운영주체명
0광역지원센터부산시부산광역푸드뱅크당연부산광역시 동래구 낙민로 25, 부산사회복지종합센터 302호051-791-1377051-714-30961. 사회복지법인부산광역시사회복지협의회
1기초푸드뱅크강서구강서구기초푸드뱅크임의부산광역시 강서구 순아강변길 5(명지동)051-271-0560~1051-271-05621. 사회복지법인낙동종합사회복지관
2기초푸드뱅크금정구금정구기초푸드뱅크임의부산광역시 금정구 중앙대로2349번길 3(노포동)051)508-1998051)508-65501. 사회복지법인남광종합사회복지관
3기초푸드뱅크기장군기장군기초푸드뱅크임의부산시 기장군 차성로288번길 27, 2층051-724-3457051-724-34592. 재단법인대한성공회유지재단
4기초푸드뱅크남구남구기초푸드뱅크당연부산광역시 남구 동제당로 258(우암동)051)647-3655051)647-36561. 사회복지법인남구종합사회복지관
5기초푸드뱅크동구동구기초푸드뱅크당연부산광역시 동구 안창로 57 동구종합사회복지관(범일동)051-633-3367051-631-39912. 재단법인동구종합사회복지관
6기초푸드뱅크동래구동래구기초푸드뱅크임의부산광역시 동래구 시실로107번길 151(명장동)051)531-2460051)524-21071. 사회복지법인동래종합사회복지관
7기초푸드뱅크부산진구부산진구기초푸드뱅크임의부산광역시 부산진구 당감서로 16(당감동)051-896-2320051-894-23201. 사회복지법인당감종합사회복지관
8기초푸드뱅크북구북구기초푸드뱅크당연부산광역시 북구 덕천로 74(덕천동)051)331-4674051)342-93501. 사회복지법인덕천종합사회복지관
9기초푸드뱅크사상구사상구기초푸드뱅크임의부산광역시 사상구 모라로192번길 20-33(모라3동)051)305-4286051)305-30481. 사회복지법인백양종합사회복지관
구분시군구사업장명신고기준사업장 소재지연락처(대표번호)팩스번호운영주체 분류운영주체명
23기초푸드마켓부산진구부산진구기초푸드마켓당연부산광역시 부산진구 중앙대로 882(양정동)051)853-1377051)894-23201. 사회복지법인당감종합사회복지관
24기초푸드마켓북구북구기초푸드마켓당연부산광역시 북구 의성로115번길 11 1층(덕천동)051)335-8377051)335-83781. 사회복지법인덕천종합사회복지관
25기초푸드마켓사상구사상구기초푸드마켓당연부산광역시 사상구 동주로 6-9(주례동)051)325-1399051)324-13991. 사회복지법인백양종합사회복지관
26기초푸드마켓사하구사하구기초푸드마켓당연부산광역시 사하구 다대로 544, 진요빌딩 204호(다대동)051-262-1377051-262-13701. 사회복지법인두송종합사회복지관
27기초푸드마켓서구서구기초푸드마켓당연부산광역시 서구 대영로85번길 42, 1층(동대신동2가)051)243-1367051)243-13661. 사회복지법인사회복지법인팔복
28기초푸드마켓수영구수영구기초푸드마켓당연부산시 수영구 연수로249번길 12-18 (망미동)051)756-1925051)756-19263.사단법인사단법인 국제청소년복지연맹
29기초푸드마켓연제구연제구기초푸드마켓임의부산시 연제구 월드컵대로187번길 6(거제동)051-714-1378070-7543-38143.사단법인사단법인 둥지복지마을
30기초푸드마켓영도구영도구푸드마켓당연부산광역시 영도구 태종로 514(동삼동)051)405-1377051)405-43772.재단법인상리종합사회복지관
31기초푸드마켓중구중구기초푸드마켓임의부산광역시 중구 중구로184-1(영주동)051-464-1388051-469-13881. 사회복지법인중구종합사회복지관
32기초푸드마켓해운대구해운대기초푸드마켓당연부산광역시 해운대구 재반로79, 2층(재송동)051-781-13730505-877-51011. 사회복지법인해운대종합사회복지관