Overview

Dataset statistics

Number of variables5
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory44.6 B

Variable types

Text5

Dataset

Description인천광역시 푸드뱅크 및 푸드마켓 현황에 대한 데이터로 기관명, 사업주체, 대표명, 주소, 연락처의 항목을 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15045182&srcSe=7661IVAWM27C61E190

Alerts

기관명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:44:21.744041
Analysis finished2024-01-28 16:44:22.244068
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-29T01:44:22.392589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9
Min length6

Characters and Unicode

Total characters261
Distinct characters52
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

Unique29 ?
Unique (%)100.0%

Sample

1st row인천광역기부식품등지원센터
2nd row중구푸드뱅크
3rd row비손행복나눔푸드뱅크
4th row동구푸드뱅크
5th row미추홀구푸드뱅크
ValueCountFrequency (%)
1호점 6
 
14.6%
2호점 6
 
14.6%
서구푸드마켓 2
 
4.9%
부평구푸드마켓 2
 
4.9%
남동구푸드마켓 2
 
4.9%
연수구푸드마켓 2
 
4.9%
미추홀구푸드마켓 2
 
4.9%
부평구푸드뱅크 2
 
4.9%
인천광역기부식품등지원센터 1
 
2.4%
강화군푸드뱅크 1
 
2.4%
Other values (15) 15
36.6%
2024-01-29T01:44:22.773550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 28
 
10.7%
푸 28
 
10.7%
구 24
 
9.2%
켓 14
 
5.4%
마 14
 
5.4%
크 14
 
5.4%
뱅 14
 
5.4%
점 12
 
4.6%
호 12
 
4.6%
12
 
4.6%
Other values (42) 89
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
90.8%
Space Separator 12
 
4.6%
Decimal Number 12
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 28
 
11.8%
푸 28
 
11.8%
구 24
 
10.1%
켓 14
 
5.9%
마 14
 
5.9%
크 14
 
5.9%
뱅 14
 
5.9%
점 12
 
5.1%
호 12
 
5.1%
동 6
 
2.5%
Other values (39) 71
30.0%
Decimal Number
ValueCountFrequency (%)
1 6
50.0%
2 6
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
90.8%
Common 24
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 28
 
11.8%
푸 28
 
11.8%
구 24
 
10.1%
켓 14
 
5.9%
마 14
 
5.9%
크 14
 
5.9%
뱅 14
 
5.9%
점 12
 
5.1%
호 12
 
5.1%
동 6
 
2.5%
Other values (39) 71
30.0%
Common
ValueCountFrequency (%)
12
50.0%
1 6
25.0%
2 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
90.8%
ASCII 24
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 28
 
11.8%
푸 28
 
11.8%
구 24
 
10.1%
켓 14
 
5.9%
마 14
 
5.9%
크 14
 
5.9%
뱅 14
 
5.9%
점 12
 
5.1%
호 12
 
5.1%
동 6
 
2.5%
Other values (39) 71
30.0%
ASCII
ValueCountFrequency (%)
12
50.0%
1 6
25.0%
2 6
25.0%

사업주체
Text

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-29T01:44:23.022488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10
Min length4

Characters and Unicode

Total characters290
Distinct characters88
Distinct categories4 ?
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 (%)58.6%

Sample

1st row인천광역시사회복지협의회
2nd row성미가엘종합사회복지관
3rd row(사)글로벌희망나눔
4th row기독교대한감리회 사회복지재단
5th row백암재단(인천종합사회복지관)
ValueCountFrequency (%)
인천내일을여는집 2
 
6.2%
성미가엘종합사회복지관 2
 
6.2%
남동구자원봉사센터 2
 
6.2%
백암재단(인천종합사회복지관 2
 
6.2%
대한성공회유지재단 2
 
6.2%
행복한사람들 2
 
6.2%
사회적협동조합 2
 
6.2%
인천부평남부지역자활센터 2
 
6.2%
인천연수지역자활센터 1
 
3.1%
대은교회 1
 
3.1%
Other values (14) 14
43.8%
2024-01-29T01:44:23.468520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 18
 
6.2%
사 17
 
5.9%
지 14
 
4.8%
인 13
 
4.5%
천 11
 
3.8%
복 11
 
3.8%
단 9
 
3.1%
합 7
 
2.4%
관 6
 
2.1%
교 6
 
2.1%
Other values (78) 178
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
96.6%
Space Separator 4
 
1.4%
Open Punctuation 3
 
1.0%
Close Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 18
 
6.4%
사 17
 
6.1%
지 14
 
5.0%
인 13
 
4.6%
천 11
 
3.9%
복 11
 
3.9%
단 9
 
3.2%
합 7
 
2.5%
관 6
 
2.1%
교 6
 
2.1%
Other values (75) 168
60.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
96.6%
Common 10
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 18
 
6.4%
사 17
 
6.1%
지 14
 
5.0%
인 13
 
4.6%
천 11
 
3.9%
복 11
 
3.9%
단 9
 
3.2%
합 7
 
2.5%
관 6
 
2.1%
교 6
 
2.1%
Other values (75) 168
60.0%
Common
ValueCountFrequency (%)
4
40.0%
( 3
30.0%
) 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
96.6%
ASCII 10
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 18
 
6.4%
사 17
 
6.1%
지 14
 
5.0%
인 13
 
4.6%
천 11
 
3.9%
복 11
 
3.9%
단 9
 
3.2%
합 7
 
2.5%
관 6
 
2.1%
교 6
 
2.1%
Other values (75) 168
60.0%
ASCII
ValueCountFrequency (%)
4
40.0%
( 3
30.0%
) 3
30.0%

대표명
Text

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-29T01:44:23.687190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters87
Distinct characters50
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

Unique15 ?
Unique (%)51.7%

Sample

1st row이명숙
2nd row박종실
3rd row강덕자
4th row김도진
5th row이승연
ValueCountFrequency (%)
이준모 2
 
6.9%
박위광 2
 
6.9%
김도균 2
 
6.9%
김상현 2
 
6.9%
박종실 2
 
6.9%
주성식 2
 
6.9%
이승연 2
 
6.9%
신덕수 1
 
3.4%
이두형 1
 
3.4%
고석현 1
 
3.4%
Other values (12) 12
41.4%
2024-01-29T01:44:24.036626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7
 
8.0%
김 6
 
6.9%
박 4
 
4.6%
연 3
 
3.4%
도 3
 
3.4%
현 3
 
3.4%
종 3
 
3.4%
주 2
 
2.3%
정 2
 
2.3%
준 2
 
2.3%
Other values (40) 52
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
8.0%
김 6
 
6.9%
박 4
 
4.6%
연 3
 
3.4%
도 3
 
3.4%
현 3
 
3.4%
종 3
 
3.4%
주 2
 
2.3%
정 2
 
2.3%
준 2
 
2.3%
Other values (40) 52
59.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
8.0%
김 6
 
6.9%
박 4
 
4.6%
연 3
 
3.4%
도 3
 
3.4%
현 3
 
3.4%
종 3
 
3.4%
주 2
 
2.3%
정 2
 
2.3%
준 2
 
2.3%
Other values (40) 52
59.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7
 
8.0%
김 6
 
6.9%
박 4
 
4.6%
연 3
 
3.4%
도 3
 
3.4%
현 3
 
3.4%
종 3
 
3.4%
주 2
 
2.3%
정 2
 
2.3%
준 2
 
2.3%
Other values (40) 52
59.8%

주소
Text

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-29T01:44:24.316159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length19.275862
Min length13

Characters and Unicode

Total characters559
Distinct characters87
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

Unique23 ?
Unique (%)79.3%

Sample

1st row서구 가정로 87번길7(가좌동)
2nd row중구 홍예문로 77(전동)
3rd row중구 참외전로152번길 5-1
4th row동구 만석로36번길 1, 1층 102호(만석동)
5th row미추홀구 매소홀로 418번길 14-57(학익동)
ValueCountFrequency (%)
서구 5
 
5.0%
남동구 4
 
4.0%
인주대로 4
 
4.0%
부평구 4
 
4.0%
미추홀구 4
 
4.0%
중구 3
 
3.0%
연수구 3
 
3.0%
12 2
 
2.0%
강화읍 2
 
2.0%
수변로 2
 
2.0%
Other values (58) 67
67.0%
2024-01-29T01:44:24.776323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
12.9%
1 37
 
6.6%
동 31
 
5.5%
구 29
 
5.2%
로 27
 
4.8%
( 25
 
4.5%
) 25
 
4.5%
길 20
 
3.6%
2 19
 
3.4%
번 18
 
3.2%
Other values (77) 256
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
54.0%
Decimal Number 129
23.1%
Space Separator 72
 
12.9%
Open Punctuation 25
 
4.5%
Close Punctuation 25
 
4.5%
Other Punctuation 3
 
0.5%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
10.3%
구 29
 
9.6%
로 27
 
8.9%
길 20
 
6.6%
번 18
 
6.0%
대 9
 
3.0%
수 8
 
2.6%
부 8
 
2.6%
석 6
 
2.0%
평 6
 
2.0%
Other values (62) 140
46.4%
Decimal Number
ValueCountFrequency (%)
1 37
28.7%
2 19
14.7%
7 16
12.4%
5 12
 
9.3%
3 12
 
9.3%
0 8
 
6.2%
4 8
 
6.2%
8 8
 
6.2%
6 7
 
5.4%
9 2
 
1.6%
Space Separator
ValueCountFrequency (%)
72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
54.0%
Common 257
46.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
10.3%
구 29
 
9.6%
로 27
 
8.9%
길 20
 
6.6%
번 18
 
6.0%
대 9
 
3.0%
수 8
 
2.6%
부 8
 
2.6%
석 6
 
2.0%
평 6
 
2.0%
Other values (62) 140
46.4%
Common
ValueCountFrequency (%)
72
28.0%
1 37
14.4%
( 25
 
9.7%
) 25
 
9.7%
2 19
 
7.4%
7 16
 
6.2%
5 12
 
4.7%
3 12
 
4.7%
0 8
 
3.1%
4 8
 
3.1%
Other values (5) 23
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
54.0%
ASCII 257
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
28.0%
1 37
14.4%
( 25
 
9.7%
) 25
 
9.7%
2 19
 
7.4%
7 16
 
6.2%
5 12
 
4.7%
3 12
 
4.7%
0 8
 
3.1%
4 8
 
3.1%
Other values (5) 23
 
8.9%
Hangul
ValueCountFrequency (%)
동 31
 
10.3%
구 29
 
9.6%
로 27
 
8.9%
길 20
 
6.6%
번 18
 
6.0%
대 9
 
3.0%
수 8
 
2.6%
부 8
 
2.6%
석 6
 
2.0%
평 6
 
2.0%
Other values (62) 140
46.4%

전화번호
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-29T01:44:25.029785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique27 ?
Unique (%)93.1%

Sample

1st row032-891-1377
2nd row032-761-1399
3rd row032-222-0191
4th row032-763-1377
5th row032-861-1377
ValueCountFrequency (%)
032-511-1377 2
 
6.9%
032-891-1377 1
 
3.4%
032-777-0377 1
 
3.4%
032-584-1377 1
 
3.4%
032-576-1377 1
 
3.4%
032-551-1377 1
 
3.4%
032-426-1377 1
 
3.4%
032-431-1377 1
 
3.4%
032-463-1377 1
 
3.4%
032-834-2377 1
 
3.4%
Other values (18) 18
62.1%
2024-01-29T01:44:25.442012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 65
18.7%
7 63
18.1%
- 58
16.7%
1 38
10.9%
2 37
10.6%
0 33
9.5%
5 13
 
3.7%
8 13
 
3.7%
4 11
 
3.2%
9 9
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 65
22.4%
7 63
21.7%
1 38
13.1%
2 37
12.8%
0 33
11.4%
5 13
 
4.5%
8 13
 
4.5%
4 11
 
3.8%
9 9
 
3.1%
6 8
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 65
18.7%
7 63
18.1%
- 58
16.7%
1 38
10.9%
2 37
10.6%
0 33
9.5%
5 13
 
3.7%
8 13
 
3.7%
4 11
 
3.2%
9 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 65
18.7%
7 63
18.1%
- 58
16.7%
1 38
10.9%
2 37
10.6%
0 33
9.5%
5 13
 
3.7%
8 13
 
3.7%
4 11
 
3.2%
9 9
 
2.6%

Correlations

2024-01-29T01:44:25.581826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사업주체대표명주소전화번호
기관명1.0001.0001.0001.0001.000
사업주체1.0001.0001.0001.0001.000
대표명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-01-29T01:44:22.092569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:44:22.203701image/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

기관명사업주체대표명주소전화번호
0인천광역기부식품등지원센터인천광역시사회복지협의회이명숙서구 가정로 87번길7(가좌동)032-891-1377
1중구푸드뱅크성미가엘종합사회복지관박종실중구 홍예문로 77(전동)032-761-1399
2비손행복나눔푸드뱅크(사)글로벌희망나눔강덕자중구 참외전로152번길 5-1032-222-0191
3동구푸드뱅크기독교대한감리회 사회복지재단김도진동구 만석로36번길 1, 1층 102호(만석동)032-763-1377
4미추홀구푸드뱅크백암재단(인천종합사회복지관)이승연미추홀구 매소홀로 418번길 14-57(학익동)032-861-1377
5사랑나눔푸드뱅크사단법인사랑의나눔하영화미추홀구 인주대로 417번길 30032-423-1377
6연수구푸드뱅크세화종합사회복지관김용길연수구 원인재로 315(연수동)032-818-1377
7남동구푸드뱅크남동구자원봉사센터박위광남동구 인주대로 854(만수동)032-469-1377
8남동구새희망푸드뱅크사단법인더불어함께새희망문진환남동구 문화로115번길 52 102호(구월동)032-437-1377
9부평구푸드뱅크사회적협동조합 인천부평남부지역자활센터김도균부평구 수변로 107번길56(부개동)032-519-1377
기관명사업주체대표명주소전화번호
19연수구푸드마켓 1호점인천연수지역자활센터최윤희연수구 비류대로 519번길 3-2(선학동)032-817-1377
20연수구푸드마켓 2호점옥련중앙교회한종근연수구 청량로 184번길 17(옥련동)032-834-2377
21남동구푸드마켓 1호점남동구자원봉사센터박위광남동구 인주대로 854(만수동)032-463-1377
22남동구푸드마켓 2호점간석제일교회고석현남동구 구월로137번길 59, 1층 101호(간석동, 가나빌딩)032-431-1377
23부평구푸드마켓 1호점사회적협동조합 인천부평남부지역자활센터김도균부평구 수변로 107번길56(부개동)032-426-1377
24부평구푸드마켓 2호점행복한사람들김상현부평구 경원대로 1367번길18(부평동)032-511-1377
25계양구푸드마켓인천내일을여는집이준모계양구 계양대로 126(계산동)032-551-1377
26서구푸드마켓 1호점서인천제일교회이두형서구 승학로 233(심곡동)032-576-1377
27서구푸드마켓 2호점대은교회전명구서구 거북로 124(석남동)032-584-1377
28강화군푸드마켓대한성공회유지재단주성식강화읍 향나무길22번길 12032-934-0808