Overview

Dataset statistics

Number of variables5
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory44.7 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 16:44:12.139823
Analysis finished2024-01-28 16:44:12.666759
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-29T01:44:12.812256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length9.0357143
Min length6

Characters and Unicode

Total characters253
Distinct characters50
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

Unique28 ?
Unique (%)100.0%

Sample

1st row인천광역기부식품등지원센터
2nd row강화군푸드뱅크
3rd row중구푸드뱅크
4th row비손행복나눔푸드뱅크
5th row동구푸드뱅크
ValueCountFrequency (%)
1호점 6
15.0%
2호점 6
15.0%
서구푸드마켓 2
 
5.0%
부평구푸드마켓 2
 
5.0%
남동구푸드마켓 2
 
5.0%
연수구푸드마켓 2
 
5.0%
미추홀구푸드마켓 2
 
5.0%
부평구푸드뱅크 2
 
5.0%
서구태화푸드뱅크 1
 
2.5%
계양구푸드마켓 1
 
2.5%
Other values (14) 14
35.0%
2024-01-29T01:44:13.211327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 27
 
10.7%
드 27
 
10.7%
구 24
 
9.5%
켓 14
 
5.5%
마 14
 
5.5%
크 13
 
5.1%
뱅 13
 
5.1%
12
 
4.7%
점 12
 
4.7%
호 12
 
4.7%
Other values (40) 85
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
90.5%
Space Separator 12
 
4.7%
Decimal Number 12
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 27
11.8%
드 27
11.8%
구 24
 
10.5%
켓 14
 
6.1%
마 14
 
6.1%
크 13
 
5.7%
뱅 13
 
5.7%
점 12
 
5.2%
호 12
 
5.2%
동 6
 
2.6%
Other values (37) 67
29.3%
Decimal Number
ValueCountFrequency (%)
1 6
50.0%
2 6
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
90.5%
Common 24
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 27
11.8%
드 27
11.8%
구 24
 
10.5%
켓 14
 
6.1%
마 14
 
6.1%
크 13
 
5.7%
뱅 13
 
5.7%
점 12
 
5.2%
호 12
 
5.2%
동 6
 
2.6%
Other values (37) 67
29.3%
Common
ValueCountFrequency (%)
12
50.0%
1 6
25.0%
2 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
90.5%
ASCII 24
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 27
11.8%
드 27
11.8%
구 24
 
10.5%
켓 14
 
6.1%
마 14
 
6.1%
크 13
 
5.7%
뱅 13
 
5.7%
점 12
 
5.2%
호 12
 
5.2%
동 6
 
2.6%
Other values (37) 67
29.3%
ASCII
ValueCountFrequency (%)
12
50.0%
1 6
25.0%
2 6
25.0%

사업주체
Text

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-29T01:44:13.455070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.25
Min length4

Characters and Unicode

Total characters287
Distinct characters91
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

Unique16 ?
Unique (%)57.1%

Sample

1st row인천광역시사회복지협의회
2nd row대한성공회유지재단
3rd row성미가엘종합사회복지관
4th row(사)글로벌희망나눔
5th row기독교대한감리회 사회복지재단
ValueCountFrequency (%)
인천내일을여는집 2
 
6.5%
남동구자원봉사센터 2
 
6.5%
사회적협동조합 2
 
6.5%
인천부평남부지역자활센터 2
 
6.5%
행복한사람들 2
 
6.5%
성미가엘종합사회복지관 2
 
6.5%
백암재단(인천종합사회복지관 2
 
6.5%
대한성공회유지재단 2
 
6.5%
한일순복음교회 1
 
3.2%
서인천제일교회 1
 
3.2%
Other values (13) 13
41.9%
2024-01-29T01:44:13.848075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 19
 
6.6%
사 16
 
5.6%
지 13
 
4.5%
인 11
 
3.8%
복 11
 
3.8%
천 10
 
3.5%
단 8
 
2.8%
합 8
 
2.8%
교 6
 
2.1%
동 6
 
2.1%
Other values (81) 179
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
96.5%
Space Separator 4
 
1.4%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 19
 
6.9%
사 16
 
5.8%
지 13
 
4.7%
인 11
 
4.0%
복 11
 
4.0%
천 10
 
3.6%
단 8
 
2.9%
합 8
 
2.9%
교 6
 
2.2%
동 6
 
2.2%
Other values (78) 169
61.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
96.5%
Common 10
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 19
 
6.9%
사 16
 
5.8%
지 13
 
4.7%
인 11
 
4.0%
복 11
 
4.0%
천 10
 
3.6%
단 8
 
2.9%
합 8
 
2.9%
교 6
 
2.2%
동 6
 
2.2%
Other values (78) 169
61.0%
Common
ValueCountFrequency (%)
4
40.0%
) 3
30.0%
( 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
96.5%
ASCII 10
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 19
 
6.9%
사 16
 
5.8%
지 13
 
4.7%
인 11
 
4.0%
복 11
 
4.0%
천 10
 
3.6%
단 8
 
2.9%
합 8
 
2.9%
교 6
 
2.2%
동 6
 
2.2%
Other values (78) 169
61.0%
ASCII
ValueCountFrequency (%)
4
40.0%
) 3
30.0%
( 3
30.0%

대표명
Text

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-29T01:44:14.059986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters84
Distinct characters47
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

Unique14 ?
Unique (%)50.0%

Sample

1st row박선원
2nd row주성식
3rd row박종실
4th row강덕자
5th row김도진
ValueCountFrequency (%)
김상현 2
 
7.1%
박위광 2
 
7.1%
김도균 2
 
7.1%
주성식 2
 
7.1%
이준모 2
 
7.1%
박종실 2
 
7.1%
이승연 2
 
7.1%
박선원 1
 
3.6%
정성훈 1
 
3.6%
이두형 1
 
3.6%
Other values (11) 11
39.3%
2024-01-29T01:44:14.426493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
7.1%
이 6
 
7.1%
박 5
 
6.0%
현 3
 
3.6%
연 3
 
3.6%
도 3
 
3.6%
종 3
 
3.6%
성 3
 
3.6%
준 2
 
2.4%
정 2
 
2.4%
Other values (37) 48
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
7.1%
이 6
 
7.1%
박 5
 
6.0%
현 3
 
3.6%
연 3
 
3.6%
도 3
 
3.6%
종 3
 
3.6%
성 3
 
3.6%
준 2
 
2.4%
정 2
 
2.4%
Other values (37) 48
57.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
7.1%
이 6
 
7.1%
박 5
 
6.0%
현 3
 
3.6%
연 3
 
3.6%
도 3
 
3.6%
종 3
 
3.6%
성 3
 
3.6%
준 2
 
2.4%
정 2
 
2.4%
Other values (37) 48
57.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
7.1%
이 6
 
7.1%
박 5
 
6.0%
현 3
 
3.6%
연 3
 
3.6%
도 3
 
3.6%
종 3
 
3.6%
성 3
 
3.6%
준 2
 
2.4%
정 2
 
2.4%
Other values (37) 48
57.1%

주소
Text

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-29T01:44:14.707761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length18.607143
Min length13

Characters and Unicode

Total characters521
Distinct characters84
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

Unique22 ?
Unique (%)78.6%

Sample

1st row서구 봉수대로 806(연희동)
2nd row강화읍 향나무길 22번길 12
3rd row중구 홍예문로 77(전동)
4th row중구 참외전로152번길 5-1
5th row동구 만석로36번길 1, 1층 102호(만석동)
ValueCountFrequency (%)
서구 5
 
5.3%
남동구 4
 
4.2%
부평구 4
 
4.2%
미추홀구 3
 
3.2%
인주대로 3
 
3.2%
연수구 3
 
3.2%
중구 3
 
3.2%
경원대로 2
 
2.1%
강화읍 2
 
2.1%
854(만수동 2
 
2.1%
Other values (55) 64
67.4%
2024-01-29T01:44:15.131548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
13.1%
1 31
 
6.0%
동 30
 
5.8%
구 26
 
5.0%
로 26
 
5.0%
( 23
 
4.4%
) 23
 
4.4%
2 18
 
3.5%
길 17
 
3.3%
번 15
 
2.9%
Other values (74) 244
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
53.9%
Decimal Number 119
22.8%
Space Separator 68
 
13.1%
Open Punctuation 23
 
4.4%
Close Punctuation 23
 
4.4%
Other Punctuation 4
 
0.8%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
10.7%
구 26
 
9.3%
로 26
 
9.3%
길 17
 
6.0%
번 15
 
5.3%
대 10
 
3.6%
수 9
 
3.2%
부 8
 
2.8%
남 7
 
2.5%
평 6
 
2.1%
Other values (59) 127
45.2%
Decimal Number
ValueCountFrequency (%)
1 31
26.1%
2 18
15.1%
7 13
10.9%
4 11
 
9.2%
5 11
 
9.2%
0 9
 
7.6%
6 8
 
6.7%
8 8
 
6.7%
3 8
 
6.7%
9 2
 
1.7%
Space Separator
ValueCountFrequency (%)
68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
53.9%
Common 240
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
10.7%
구 26
 
9.3%
로 26
 
9.3%
길 17
 
6.0%
번 15
 
5.3%
대 10
 
3.6%
수 9
 
3.2%
부 8
 
2.8%
남 7
 
2.5%
평 6
 
2.1%
Other values (59) 127
45.2%
Common
ValueCountFrequency (%)
68
28.3%
1 31
12.9%
( 23
 
9.6%
) 23
 
9.6%
2 18
 
7.5%
7 13
 
5.4%
4 11
 
4.6%
5 11
 
4.6%
0 9
 
3.8%
6 8
 
3.3%
Other values (5) 25
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
53.9%
ASCII 240
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
28.3%
1 31
12.9%
( 23
 
9.6%
) 23
 
9.6%
2 18
 
7.5%
7 13
 
5.4%
4 11
 
4.6%
5 11
 
4.6%
0 9
 
3.8%
6 8
 
3.3%
Other values (5) 25
 
10.4%
Hangul
ValueCountFrequency (%)
동 30
 
10.7%
구 26
 
9.3%
로 26
 
9.3%
길 17
 
6.0%
번 15
 
5.3%
대 10
 
3.6%
수 9
 
3.2%
부 8
 
2.8%
남 7
 
2.5%
평 6
 
2.1%
Other values (59) 127
45.2%

전화번호
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-29T01:44:15.382196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique26 ?
Unique (%)92.9%

Sample

1st row032-891-1377
2nd row032-932-1378
3rd row032-761-1399
4th row032-222-0191
5th row032-763-1377
ValueCountFrequency (%)
032-511-1377 2
 
7.1%
032-891-1377 1
 
3.6%
032-934-0808 1
 
3.6%
032-576-1377 1
 
3.6%
032-551-1377 1
 
3.6%
032-426-1377 1
 
3.6%
032-431-1377 1
 
3.6%
032-463-1377 1
 
3.6%
032-834-2377 1
 
3.6%
032-817-1377 1
 
3.6%
Other values (17) 17
60.7%
2024-01-29T01:44:15.738234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 62
18.5%
7 61
18.2%
- 56
16.7%
1 37
11.0%
2 35
10.4%
0 32
9.5%
5 13
 
3.9%
8 13
 
3.9%
4 10
 
3.0%
9 9
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 62
22.1%
7 61
21.8%
1 37
13.2%
2 35
12.5%
0 32
11.4%
5 13
 
4.6%
8 13
 
4.6%
4 10
 
3.6%
9 9
 
3.2%
6 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 62
18.5%
7 61
18.2%
- 56
16.7%
1 37
11.0%
2 35
10.4%
0 32
9.5%
5 13
 
3.9%
8 13
 
3.9%
4 10
 
3.0%
9 9
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 62
18.5%
7 61
18.2%
- 56
16.7%
1 37
11.0%
2 35
10.4%
0 32
9.5%
5 13
 
3.9%
8 13
 
3.9%
4 10
 
3.0%
9 9
 
2.7%

Correlations

2024-01-29T01:44:15.845107image/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

2024-01-29T01:44:12.501718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:44:12.622001image/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
0인천광역기부식품등지원센터인천광역시사회복지협의회박선원서구 봉수대로 806(연희동)032-891-1377
1강화군푸드뱅크대한성공회유지재단주성식강화읍 향나무길 22번길 12032-932-1378
2중구푸드뱅크성미가엘종합사회복지관박종실중구 홍예문로 77(전동)032-761-1399
3비손행복나눔푸드뱅크(사)글로벌희망나눔강덕자중구 참외전로152번길 5-1032-222-0191
4동구푸드뱅크기독교대한감리회 사회복지재단김도진동구 만석로36번길 1, 1층 102호(만석동)032-763-1377
5미추홀구푸드뱅크백암재단(인천종합사회복지관)이승연미추홀구 매소홀로 418번길 14-57(학익동)032-861-1377
6연수구푸드뱅크세화종합사회복지관김용길연수구 원인재로 315(연수동)032-818-1377
7남동구푸드뱅크남동구자원봉사센터박위광남동구 인주대로 854(만수동)032-469-1377
8남동구새희망푸드뱅크사단법인더불어함께새희망문진환남동구 경인로 744, 105호(간석동)032-437-1377
9부평구푸드뱅크사회적협동조합 인천부평남부지역자활센터김도균부평구 수변로 107번길56(부개동)032-519-1377
기관명사업주체대표명주소전화번호
18미추홀구푸드마켓 2호점한일순복음교회신덕수미추홀구 인주대로 127(용현동)032-889-1377
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 남동대로 904, 1층, 5층032-431-1377
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