Overview

Dataset statistics

Number of variables9
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory78.0 B

Variable types

Categorical2
Text4
Numeric2
DateTime1

Dataset

Description부산광역시 푸드뱅크 및 푸드마켓 현황에 대한 데이터로 구별 기부식품 제공 사업장 푸드마켓, 푸드뱅크 운영현황, 운영단체명, 소재지, 위도, 경도, 연락처, 데이터기준일자 항목정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/3075882/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 구군명High correlation
경도 is highly overall correlated with 구군명High correlation
구군명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
운영단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:57:04.226206
Analysis finished2023-12-12 04:57:05.356067
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
푸드뱅크 17
51.5%
푸드마켓 16
48.5%

Length

2023-12-12T13:57:05.433517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:57:05.560781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
푸드뱅크 17
51.5%
푸드마켓 16
48.5%

구군명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
연제구
3 
중구
 
2
서구
 
2
동구
 
2
영도구
 
2
Other values (11)
22 

Length

Max length4
Median length3
Mean length2.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연제구
2nd row중구
3rd row서구
4th row동구
5th row영도구

Common Values

ValueCountFrequency (%)
연제구 3
 
9.1%
중구 2
 
6.1%
서구 2
 
6.1%
동구 2
 
6.1%
영도구 2
 
6.1%
부산진구 2
 
6.1%
동래구 2
 
6.1%
남구 2
 
6.1%
북구 2
 
6.1%
해운대구 2
 
6.1%
Other values (6) 12
36.4%

Length

2023-12-12T13:57:05.697509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연제구 3
 
9.1%
중구 2
 
6.1%
서구 2
 
6.1%
동구 2
 
6.1%
영도구 2
 
6.1%
부산진구 2
 
6.1%
동래구 2
 
6.1%
남구 2
 
6.1%
북구 2
 
6.1%
해운대구 2
 
6.1%
Other values (6) 12
36.4%

운영단체명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:57:05.989682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length15.242424
Min length9

Characters and Unicode

Total characters503
Distinct characters89
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

Unique33 ?
Unique (%)100.0%

Sample

1st row부산광역푸드뱅크(부산광역시사회복지협의회)
2nd row중구종합사회복지관
3rd row사회복지법인 팔복
4th row동구종합사회복지관
5th row상리종합사회복지관
ValueCountFrequency (%)
중구종합사회복지관 2
 
3.6%
팔복 2
 
3.6%
국제청소년복지연맹 2
 
3.6%
둥지복지마을 2
 
3.6%
둥지푸드마켓(사단법인 2
 
3.6%
금정구 1
 
1.8%
동래 1
 
1.8%
등대지기푸드마켓(동래종합사회복지관 1
 
1.8%
남구 1
 
1.8%
동행푸드마켓(둥지복지마을 1
 
1.8%
Other values (40) 40
72.7%
2023-12-12T13:57:06.439826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 38
 
7.6%
복 34
 
6.8%
사 33
 
6.6%
회 28
 
5.6%
합 23
 
4.6%
관 22
 
4.4%
종 22
 
4.4%
22
 
4.4%
마 19
 
3.8%
푸 18
 
3.6%
Other values (79) 244
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
88.7%
Space Separator 22
 
4.4%
Close Punctuation 17
 
3.4%
Open Punctuation 17
 
3.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 38
 
8.5%
복 34
 
7.6%
사 33
 
7.4%
회 28
 
6.3%
합 23
 
5.2%
관 22
 
4.9%
종 22
 
4.9%
마 19
 
4.3%
푸 18
 
4.0%
드 17
 
3.8%
Other values (75) 192
43.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
88.7%
Common 57
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 38
 
8.5%
복 34
 
7.6%
사 33
 
7.4%
회 28
 
6.3%
합 23
 
5.2%
관 22
 
4.9%
종 22
 
4.9%
마 19
 
4.3%
푸 18
 
4.0%
드 17
 
3.8%
Other values (75) 192
43.0%
Common
ValueCountFrequency (%)
22
38.6%
) 17
29.8%
( 17
29.8%
& 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
88.7%
ASCII 57
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 38
 
8.5%
복 34
 
7.6%
사 33
 
7.4%
회 28
 
6.3%
합 23
 
5.2%
관 22
 
4.9%
종 22
 
4.9%
마 19
 
4.3%
푸 18
 
4.0%
드 17
 
3.8%
Other values (75) 192
43.0%
ASCII
ValueCountFrequency (%)
22
38.6%
) 17
29.8%
( 17
29.8%
& 1
 
1.8%

대표자
Text

Distinct22
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:57:06.657634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters99
Distinct characters43
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

Unique12 ?
Unique (%)36.4%

Sample

1st row오흥숙
2nd row조혜영
3rd row조생래
4th row김성용
5th row김영신
ValueCountFrequency (%)
김순희 3
 
9.1%
박현애 2
 
6.1%
하소연 2
 
6.1%
서경복 2
 
6.1%
정영희 2
 
6.1%
김태형 2
 
6.1%
조혜영 2
 
6.1%
권기철 2
 
6.1%
조생래 2
 
6.1%
김영신 2
 
6.1%
Other values (12) 12
36.4%
2023-12-12T13:57:07.019716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
10.1%
영 8
 
8.1%
희 7
 
7.1%
조 4
 
4.0%
현 4
 
4.0%
정 4
 
4.0%
박 3
 
3.0%
순 3
 
3.0%
권 3
 
3.0%
혜 3
 
3.0%
Other values (33) 50
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
10.1%
영 8
 
8.1%
희 7
 
7.1%
조 4
 
4.0%
현 4
 
4.0%
정 4
 
4.0%
박 3
 
3.0%
순 3
 
3.0%
권 3
 
3.0%
혜 3
 
3.0%
Other values (33) 50
50.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
10.1%
영 8
 
8.1%
희 7
 
7.1%
조 4
 
4.0%
현 4
 
4.0%
정 4
 
4.0%
박 3
 
3.0%
순 3
 
3.0%
권 3
 
3.0%
혜 3
 
3.0%
Other values (33) 50
50.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
10.1%
영 8
 
8.1%
희 7
 
7.1%
조 4
 
4.0%
현 4
 
4.0%
정 4
 
4.0%
박 3
 
3.0%
순 3
 
3.0%
권 3
 
3.0%
혜 3
 
3.0%
Other values (33) 50
50.5%

소재지
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:57:07.311222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length24.030303
Min length16

Characters and Unicode

Total characters793
Distinct characters104
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 연제구 법원남로16번길27, 901호(거제동)
2nd row부산광역시 중구 망양로 309(대청동4가)
3rd row부산광역시 서구 구덕로346번길28(동대신동)
4th row부산광역시 동구 안창로 57(범일동)
5th row부산광역시 영도구 상리로 63-16(동삼동)
ValueCountFrequency (%)
부산광역시 33
 
24.1%
연제구 3
 
2.2%
중앙대로 3
 
2.2%
남구 2
 
1.5%
기장읍 2
 
1.5%
기장군 2
 
1.5%
중구 2
 
1.5%
사상구 2
 
1.5%
서구 2
 
1.5%
강서구 2
 
1.5%
Other values (73) 84
61.3%
2023-12-12T13:57:07.840183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
13.1%
동 40
 
5.0%
산 36
 
4.5%
부 35
 
4.4%
시 34
 
4.3%
구 34
 
4.3%
광 33
 
4.2%
역 33
 
4.2%
로 32
 
4.0%
) 30
 
3.8%
Other values (94) 382
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
62.4%
Decimal Number 126
 
15.9%
Space Separator 104
 
13.1%
Close Punctuation 30
 
3.8%
Open Punctuation 30
 
3.8%
Dash Punctuation 7
 
0.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
8.1%
산 36
 
7.3%
부 35
 
7.1%
시 34
 
6.9%
구 34
 
6.9%
광 33
 
6.7%
역 33
 
6.7%
로 32
 
6.5%
대 14
 
2.8%
길 14
 
2.8%
Other values (79) 190
38.4%
Decimal Number
ValueCountFrequency (%)
1 26
20.6%
2 18
14.3%
8 12
9.5%
4 12
9.5%
3 11
8.7%
5 11
8.7%
9 11
8.7%
6 10
 
7.9%
7 9
 
7.1%
0 6
 
4.8%
Space Separator
ValueCountFrequency (%)
104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
62.4%
Common 298
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
8.1%
산 36
 
7.3%
부 35
 
7.1%
시 34
 
6.9%
구 34
 
6.9%
광 33
 
6.7%
역 33
 
6.7%
로 32
 
6.5%
대 14
 
2.8%
길 14
 
2.8%
Other values (79) 190
38.4%
Common
ValueCountFrequency (%)
104
34.9%
) 30
 
10.1%
( 30
 
10.1%
1 26
 
8.7%
2 18
 
6.0%
8 12
 
4.0%
4 12
 
4.0%
3 11
 
3.7%
5 11
 
3.7%
9 11
 
3.7%
Other values (5) 33
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
62.4%
ASCII 298
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
34.9%
) 30
 
10.1%
( 30
 
10.1%
1 26
 
8.7%
2 18
 
6.0%
8 12
 
4.0%
4 12
 
4.0%
3 11
 
3.7%
5 11
 
3.7%
9 11
 
3.7%
Other values (5) 33
 
11.1%
Hangul
ValueCountFrequency (%)
동 40
 
8.1%
산 36
 
7.3%
부 35
 
7.1%
시 34
 
6.9%
구 34
 
6.9%
광 33
 
6.7%
역 33
 
6.7%
로 32
 
6.5%
대 14
 
2.8%
길 14
 
2.8%
Other values (79) 190
38.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.164115
Minimum35.057804
Maximum35.293396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T13:57:08.276559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.057804
5-th percentile35.075806
Q135.127172
median35.171037
Q335.203257
95-th percentile35.250825
Maximum35.293396
Range0.23559204
Interquartile range (IQR)0.07608459

Descriptive statistics

Standard deviation0.056208445
Coefficient of variation (CV)0.0015984604
Kurtosis-0.22718895
Mean35.164115
Median Absolute Deviation (MAD)0.03796736
Skewness0.11020937
Sum1160.4158
Variance0.0031593893
MonotonicityNot monotonic
2023-12-12T13:57:08.443718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
35.1148998 2
 
6.1%
35.19189853 1
 
3.0%
35.05780359 1
 
3.0%
35.08451383 1
 
3.0%
35.16924261 1
 
3.0%
35.20325663 1
 
3.0%
35.13646831 1
 
3.0%
35.21054689 1
 
3.0%
35.18547232 1
 
3.0%
35.26219907 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
35.05780359 1
3.0%
35.06274344 1
3.0%
35.08451383 1
3.0%
35.08616799 1
3.0%
35.10578162 1
3.0%
35.11104568 1
3.0%
35.1148998 2
6.1%
35.12717204 1
3.0%
35.12734954 1
3.0%
35.13382282 1
3.0%
ValueCountFrequency (%)
35.29339563 1
3.0%
35.26219907 1
3.0%
35.24324213 1
3.0%
35.24119019 1
3.0%
35.21122134 1
3.0%
35.21054689 1
3.0%
35.20900412 1
3.0%
35.20813322 1
3.0%
35.20325663 1
3.0%
35.19189853 1
3.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05786
Minimum128.87621
Maximum129.21496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T13:57:08.596059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.87621
5-th percentile128.97683
Q1129.01698
median129.06852
Q3129.09207
95-th percentile129.16094
Maximum129.21496
Range0.3387454
Interquartile range (IQR)0.0750873

Descriptive statistics

Standard deviation0.065413289
Coefficient of variation (CV)0.00050685241
Kurtosis1.7743577
Mean129.05786
Median Absolute Deviation (MAD)0.0319113
Skewness0.03309424
Sum4258.9095
Variance0.0042788983
MonotonicityNot monotonic
2023-12-12T13:57:08.744371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
129.0169825 2
 
6.1%
129.0751835 1
 
3.0%
128.9709759 1
 
3.0%
129.0733319 1
 
3.0%
129.0685179 1
 
3.0%
129.0639012 1
 
3.0%
129.0887071 1
 
3.0%
129.0116187 1
 
3.0%
129.1256374 1
 
3.0%
129.0920698 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
128.8762147 1
3.0%
128.9709759 1
3.0%
128.9807383 1
3.0%
128.985473 1
3.0%
128.9993407 1
3.0%
128.9993511 1
3.0%
129.0116187 1
3.0%
129.0169825 2
6.1%
129.0171568 1
3.0%
129.0282438 1
3.0%
ValueCountFrequency (%)
129.2149601 1
3.0%
129.2110511 1
3.0%
129.1275334 1
3.0%
129.1256374 1
3.0%
129.1000092 1
3.0%
129.0990066 1
3.0%
129.0986639 1
3.0%
129.0985687 1
3.0%
129.0920698 1
3.0%
129.0889055 1
3.0%

연락처
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:57:08.966915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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

Unique31 ?
Unique (%)93.9%

Sample

1st row051-791-1377
2nd row051-464-3137
3rd row051-243-1367
4th row051-633-3367
5th row051-404-5061
ValueCountFrequency (%)
051-243-1367 2
 
6.1%
051-791-1377 1
 
3.0%
051-463-1388 1
 
3.0%
051-325-1399 1
 
3.0%
051-756-1925 1
 
3.0%
051-714-1378 1
 
3.0%
051-711-1378 1
 
3.0%
051-911-1377 1
 
3.0%
051-262-1377 1
 
3.0%
051-781-1373 1
 
3.0%
Other values (22) 22
66.7%
2023-12-12T13:57:09.351262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.7%
1 64
16.2%
5 54
13.6%
0 48
12.1%
3 42
10.6%
7 40
10.1%
6 22
 
5.6%
4 18
 
4.5%
2 16
 
4.0%
8 16
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 64
19.4%
5 54
16.4%
0 48
14.5%
3 42
12.7%
7 40
12.1%
6 22
 
6.7%
4 18
 
5.5%
2 16
 
4.8%
8 16
 
4.8%
9 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.7%
1 64
16.2%
5 54
13.6%
0 48
12.1%
3 42
10.6%
7 40
10.1%
6 22
 
5.6%
4 18
 
4.5%
2 16
 
4.0%
8 16
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.7%
1 64
16.2%
5 54
13.6%
0 48
12.1%
3 42
10.6%
7 40
10.1%
6 22
 
5.6%
4 18
 
4.5%
2 16
 
4.0%
8 16
 
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-02-01 00:00:00
Maximum2023-02-01 00:00:00
2023-12-12T13:57:09.456272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:57:09.541107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:57:04.889328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:57:04.664323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:57:05.001119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:57:04.773124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:57:09.623363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분구군명운영단체명대표자소재지위도경도연락처
구분1.0000.0001.0000.0000.0000.0000.0000.000
구군명0.0001.0001.0000.9841.0000.9500.9211.000
운영단체명1.0001.0001.0001.0001.0001.0001.0001.000
대표자0.0000.9841.0001.0001.0000.9780.8551.000
소재지0.0001.0001.0001.0001.0001.0001.0001.000
위도0.0000.9501.0000.9781.0001.0000.7701.000
경도0.0000.9211.0000.8551.0000.7701.0001.000
연락처0.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T13:57:09.741395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분구군명
구분1.0000.000
구군명0.0001.000
2023-12-12T13:57:09.822727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분구군명
위도1.0000.4960.0000.669
경도0.4961.0000.0000.565
구분0.0000.0001.0000.000
구군명0.6690.5650.0001.000

Missing values

2023-12-12T13:57:05.119327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:57:05.278536image/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

구분구군명운영단체명대표자소재지위도경도연락처데이터기준일자
0푸드뱅크연제구부산광역푸드뱅크(부산광역시사회복지협의회)오흥숙부산광역시 연제구 법원남로16번길27, 901호(거제동)35.191899129.075184051-791-13772023-02-01
1푸드뱅크중구중구종합사회복지관조혜영부산광역시 중구 망양로 309(대청동4가)35.105782129.028244051-464-31372023-02-01
2푸드뱅크서구사회복지법인 팔복조생래부산광역시 서구 구덕로346번길28(동대신동)35.1149129.016983051-243-13672023-02-01
3푸드뱅크동구동구종합사회복지관김성용부산광역시 동구 안창로 57(범일동)35.145628129.04243051-633-33672023-02-01
4푸드뱅크영도구상리종합사회복지관김영신부산광역시 영도구 상리로 63-16(동삼동)35.086168129.070776051-404-50612023-02-01
5푸드뱅크부산진구당감종합사회복지관박현애부산광역시 부산진구 당감서로 16(당감동)35.162327129.036607051-896-23202023-02-01
6푸드뱅크동래구동래종합사회복지관하소연부산광역시 동래구 시실로 107번길 151(명장동)35.211221129.098569051-531-24602023-02-01
7푸드뱅크남구남구종합사회복지관윤성희부산광역시 남구 동제당로 258(우암동)35.127172129.074912051-647-36552023-02-01
8푸드뱅크북구덕천종합사회복지관서경복부산광역시 북구 덕천로 74(덕천동)35.209004129.017157051-331-46742023-02-01
9푸드뱅크해운대구해운대종합사회복지관정영희부산광역시 해운대구 재반로 12번길 16(재송동)35.179668129.127533051-782-50052023-02-01
구분구군명운영단체명대표자소재지위도경도연락처데이터기준일자
23푸드마켓남구남구 동행푸드마켓(둥지복지마을)김순희부산광역시 남구 못골로53번길12-20(대연동)35.136468129.088707051-638-13772023-02-01
24푸드마켓북구북구 행복푸드마켓(덕천종합사회복지관)서경복부산광역시 북구 의성로 115번길 11(덕천동)35.210547129.011619051-335-83772023-02-01
25푸드마켓해운대구해운대푸드마켓(해운대종합사회복지관)정영희부산광역시 해운대구 재반로 79(재송동)35.185472129.125637051-781-13732023-02-01
26푸드마켓사하구사하사랑나눔 푸드마켓(두송종합사회복지관)김태형부산광역시 사하구 다대로 544(다대동)35.057804128.970976051-262-13772023-02-01
27푸드마켓금정구금정구 푸드마켓(사회복지법인 선양)김수현부산광역시 금정구 중앙대로 1992(남산동)35.262199129.09207051-911-13772023-02-01
28푸드마켓강서구강서구 둥지푸드마켓(사단법인 둥지복지마을)김순희부산광역시 강서구 공항로 1207(대저1동)35.208133128.980738051-711-13782023-02-01
29푸드마켓연제구연제구 둥지푸드마켓(사단법인 둥지복지마을)김순희부산광역시 연제구 월드컵대로187번길 6(거제동)35.187612129.075775051-714-13782023-02-01
30푸드마켓수영구함께 하는 푸드마켓(사단법인 국제청소년복지연맹)구영찬부산광역시 수영구 연수로 249번길 12-18(망미동)35.173657129.099007051-756-19252023-02-01
31푸드마켓사상구사상구 푸드마켓(백양종합사회복지관)정병우부산광역시 사상구 동주로 6-9(주례동)35.14793128.999341051-325-13992023-02-01
32푸드마켓기장군기장푸드마켓(사단법인 국제청소년복지연맹)김진건부산광역시 기장군 기장읍 차성남로 2835.24119129.211051051-722-40062023-02-01