Overview

Dataset statistics

Number of variables6
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory52.4 B

Variable types

Text5
DateTime1

Dataset

Description전라남도 내 푸드뱅크 운영 사업장 현황(사업장명, 운영주체, 주소, 연락처, 신고일) 등에 대한 정보를 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15124504/fileData.do

Alerts

주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:51:40.211807
Analysis finished2023-12-12 13:51:40.720137
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:51:40.834513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.0333333
Min length2

Characters and Unicode

Total characters61
Distinct characters35
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

Unique17 ?
Unique (%)56.7%

Sample

1st row광역
2nd row광역
3rd row광역
4th row목포
5th row목포
ValueCountFrequency (%)
광역 3
 
10.0%
영광 2
 
6.7%
함평 2
 
6.7%
목포 2
 
6.7%
여수 2
 
6.7%
순천 2
 
6.7%
영암 1
 
3.3%
강진 1
 
3.3%
진도 1
 
3.3%
완도 1
 
3.3%
Other values (13) 13
43.3%
2023-12-12T22:51:41.108103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 6
 
9.8%
순 3
 
4.9%
영 3
 
4.9%
성 3
 
4.9%
역 3
 
4.9%
장 2
 
3.3%
안 2
 
3.3%
도 2
 
3.3%
양 2
 
3.3%
진 2
 
3.3%
Other values (25) 33
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
98.4%
Space Separator 1
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 6
 
10.0%
순 3
 
5.0%
영 3
 
5.0%
성 3
 
5.0%
역 3
 
5.0%
장 2
 
3.3%
안 2
 
3.3%
도 2
 
3.3%
양 2
 
3.3%
진 2
 
3.3%
Other values (24) 32
53.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
98.4%
Common 1
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 6
 
10.0%
순 3
 
5.0%
영 3
 
5.0%
성 3
 
5.0%
역 3
 
5.0%
장 2
 
3.3%
안 2
 
3.3%
도 2
 
3.3%
양 2
 
3.3%
진 2
 
3.3%
Other values (24) 32
53.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
98.4%
ASCII 1
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 6
 
10.0%
순 3
 
5.0%
영 3
 
5.0%
성 3
 
5.0%
역 3
 
5.0%
장 2
 
3.3%
안 2
 
3.3%
도 2
 
3.3%
양 2
 
3.3%
진 2
 
3.3%
Other values (24) 32
53.3%
ASCII
ValueCountFrequency (%)
1
100.0%

사업장명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:51:41.300336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length10.166667
Min length6

Characters and Unicode

Total characters305
Distinct characters75
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 (%)93.3%

Sample

1st row광역푸드뱅크
2nd row전남햇살나눔식품지원가게1호점
3rd row전남햇살나눔식품지원가게2호점
4th row예향참맛기초푸드뱅크
5th row예사랑나눔푸드뱅크
ValueCountFrequency (%)
기초푸드뱅크 17
34.7%
장성군 2
 
4.1%
보성군 1
 
2.0%
진도군 1
 
2.0%
사랑나눔은행푸드뱅크 1
 
2.0%
영광군 1
 
2.0%
희망나눔기초푸드뱅크 1
 
2.0%
함평 1
 
2.0%
함평군 1
 
2.0%
무안군 1
 
2.0%
Other values (22) 22
44.9%
2023-12-12T22:51:41.601516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 28
 
9.2%
드 28
 
9.2%
크 27
 
8.9%
뱅 27
 
8.9%
기 24
 
7.9%
초 24
 
7.9%
19
 
6.2%
군 15
 
4.9%
나 6
 
2.0%
눔 5
 
1.6%
Other values (65) 102
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
91.8%
Space Separator 19
 
6.2%
Decimal Number 6
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 28
 
10.0%
드 28
 
10.0%
크 27
 
9.6%
뱅 27
 
9.6%
기 24
 
8.6%
초 24
 
8.6%
군 15
 
5.4%
나 6
 
2.1%
눔 5
 
1.8%
성 4
 
1.4%
Other values (60) 92
32.9%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
1 2
33.3%
4 1
16.7%
2 1
16.7%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
91.8%
Common 25
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 28
 
10.0%
드 28
 
10.0%
크 27
 
9.6%
뱅 27
 
9.6%
기 24
 
8.6%
초 24
 
8.6%
군 15
 
5.4%
나 6
 
2.1%
눔 5
 
1.8%
성 4
 
1.4%
Other values (60) 92
32.9%
Common
ValueCountFrequency (%)
19
76.0%
0 2
 
8.0%
1 2
 
8.0%
4 1
 
4.0%
2 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
91.8%
ASCII 25
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 28
 
10.0%
드 28
 
10.0%
크 27
 
9.6%
뱅 27
 
9.6%
기 24
 
8.6%
초 24
 
8.6%
군 15
 
5.4%
나 6
 
2.1%
눔 5
 
1.8%
성 4
 
1.4%
Other values (60) 92
32.9%
ASCII
ValueCountFrequency (%)
19
76.0%
0 2
 
8.0%
1 2
 
8.0%
4 1
 
4.0%
2 1
 
4.0%

운영주체
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:51:41.795244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.0666667
Min length2

Characters and Unicode

Total characters242
Distinct characters82
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)80.0%

Sample

1st row전남사회복지협의회
2nd row전남사회복지협의회
3rd row쌍봉종합사회복지관
4th row목포지역자활센터
5th row한기장복지재단
ValueCountFrequency (%)
전남사회복지협의회 2
 
6.2%
사회복지법인 2
 
6.2%
난원 2
 
6.2%
쌍봉종합사회복지관 2
 
6.2%
보성종합사회복지관 1
 
3.1%
소향원 1
 
3.1%
개인 1
 
3.1%
완도제일교회 1
 
3.1%
사)은빛사랑촌 1
 
3.1%
나눔봉사단 1
 
3.1%
Other values (18) 18
56.2%
2023-12-12T22:51:42.133516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 22
 
9.1%
회 21
 
8.7%
사 18
 
7.4%
복 17
 
7.0%
종 8
 
3.3%
합 8
 
3.3%
관 8
 
3.3%
재 6
 
2.5%
단 5
 
2.1%
터 4
 
1.7%
Other values (72) 125
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
94.2%
Open Punctuation 4
 
1.7%
Close Punctuation 4
 
1.7%
Uppercase Letter 4
 
1.7%
Space Separator 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 22
 
9.6%
회 21
 
9.2%
사 18
 
7.9%
복 17
 
7.5%
종 8
 
3.5%
합 8
 
3.5%
관 8
 
3.5%
재 6
 
2.6%
단 5
 
2.2%
터 4
 
1.8%
Other values (65) 111
48.7%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
C 1
25.0%
A 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
94.2%
Common 10
 
4.1%
Latin 4
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 22
 
9.6%
회 21
 
9.2%
사 18
 
7.9%
복 17
 
7.5%
종 8
 
3.5%
합 8
 
3.5%
관 8
 
3.5%
재 6
 
2.6%
단 5
 
2.2%
터 4
 
1.8%
Other values (65) 111
48.7%
Latin
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
C 1
25.0%
A 1
25.0%
Common
ValueCountFrequency (%)
( 4
40.0%
) 4
40.0%
2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
94.2%
ASCII 14
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 22
 
9.6%
회 21
 
9.2%
사 18
 
7.9%
복 17
 
7.5%
종 8
 
3.5%
합 8
 
3.5%
관 8
 
3.5%
재 6
 
2.6%
단 5
 
2.2%
터 4
 
1.8%
Other values (65) 111
48.7%
ASCII
ValueCountFrequency (%)
( 4
28.6%
) 4
28.6%
2
14.3%
Y 1
 
7.1%
W 1
 
7.1%
C 1
 
7.1%
A 1
 
7.1%

주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:51:42.453019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18.5
Mean length15.8
Min length10

Characters and Unicode

Total characters474
Distinct characters98
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

Unique30 ?
Unique (%)100.0%

Sample

1st row무안군 삼향읍 오룡3길 22
2nd row무안군 삼햡읍 오룡길3길 22
3rd row여수시 신기북4길 11-1
4th row목포시 해안로 173번길 34
5th row목포시 양을로 261-2
ValueCountFrequency (%)
무안군 3
 
2.6%
여수시 3
 
2.6%
목포시 2
 
1.7%
영광군 2
 
1.7%
영광읍 2
 
1.7%
순천시 2
 
1.7%
함평읍 2
 
1.7%
7 2
 
1.7%
함평군 2
 
1.7%
22 2
 
1.7%
Other values (94) 94
81.0%
2023-12-12T22:51:42.906022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
18.1%
1 24
 
5.1%
군 22
 
4.6%
길 21
 
4.4%
읍 20
 
4.2%
2 18
 
3.8%
3 17
 
3.6%
로 14
 
3.0%
- 11
 
2.3%
4 10
 
2.1%
Other values (88) 231
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
56.5%
Decimal Number 104
 
21.9%
Space Separator 86
 
18.1%
Dash Punctuation 11
 
2.3%
Other Punctuation 3
 
0.6%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 22
 
8.2%
길 21
 
7.8%
읍 20
 
7.5%
로 14
 
5.2%
시 9
 
3.4%
성 7
 
2.6%
양 6
 
2.2%
흥 6
 
2.2%
영 6
 
2.2%
광 6
 
2.2%
Other values (73) 151
56.3%
Decimal Number
ValueCountFrequency (%)
1 24
23.1%
2 18
17.3%
3 17
16.3%
4 10
9.6%
5 7
 
6.7%
7 7
 
6.7%
9 6
 
5.8%
8 6
 
5.8%
0 6
 
5.8%
6 3
 
2.9%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
56.5%
Common 206
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 22
 
8.2%
길 21
 
7.8%
읍 20
 
7.5%
로 14
 
5.2%
시 9
 
3.4%
성 7
 
2.6%
양 6
 
2.2%
흥 6
 
2.2%
영 6
 
2.2%
광 6
 
2.2%
Other values (73) 151
56.3%
Common
ValueCountFrequency (%)
86
41.7%
1 24
 
11.7%
2 18
 
8.7%
3 17
 
8.3%
- 11
 
5.3%
4 10
 
4.9%
5 7
 
3.4%
7 7
 
3.4%
9 6
 
2.9%
8 6
 
2.9%
Other values (5) 14
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
56.5%
ASCII 206
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
41.7%
1 24
 
11.7%
2 18
 
8.7%
3 17
 
8.3%
- 11
 
5.3%
4 10
 
4.9%
5 7
 
3.4%
7 7
 
3.4%
9 6
 
2.9%
8 6
 
2.9%
Other values (5) 14
 
6.8%
Hangul
ValueCountFrequency (%)
군 22
 
8.2%
길 21
 
7.8%
읍 20
 
7.5%
로 14
 
5.2%
시 9
 
3.4%
성 7
 
2.6%
양 6
 
2.2%
흥 6
 
2.2%
영 6
 
2.2%
광 6
 
2.2%
Other values (73) 151
56.3%

연락처
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:51:43.134052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique28 ?
Unique (%)93.3%

Sample

1st row061-283-1477
2nd row061-283-8477
3rd row061-642-1477
4th row061-242-8980
5th row061-278-0954
ValueCountFrequency (%)
061-353-9740 2
 
6.7%
061-283-1477 1
 
3.3%
061-852-3811 1
 
3.3%
061-544-2210 1
 
3.3%
061-554-1377 1
 
3.3%
061-394-5909 1
 
3.3%
061-324-1881 1
 
3.3%
061-322-6088 1
 
3.3%
061-283-1888 1
 
3.3%
061-471-9933 1
 
3.3%
Other values (19) 19
63.3%
2023-12-12T22:51:43.443159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
1 51
14.2%
0 45
12.5%
6 40
11.1%
7 35
9.7%
3 28
7.8%
2 27
7.5%
4 25
6.9%
8 24
 
6.7%
5 13
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 51
17.0%
0 45
15.0%
6 40
13.3%
7 35
11.7%
3 28
9.3%
2 27
9.0%
4 25
8.3%
8 24
8.0%
5 13
 
4.3%
9 12
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
1 51
14.2%
0 45
12.5%
6 40
11.1%
7 35
9.7%
3 28
7.8%
2 27
7.5%
4 25
6.9%
8 24
 
6.7%
5 13
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
1 51
14.2%
0 45
12.5%
6 40
11.1%
7 35
9.7%
3 28
7.8%
2 27
7.5%
4 25
6.9%
8 24
 
6.7%
5 13
 
3.6%

신고일
Date

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1998-08-03 00:00:00
Maximum2022-11-01 00:00:00
2023-12-12T22:51:43.563194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:43.703819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

Correlations

2023-12-12T22:51:43.799691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역사업장명운영주체주소연락처신고일
지역1.0000.9700.9951.0001.0000.939
사업장명0.9701.0000.9821.0000.9960.990
운영주체0.9950.9821.0001.0001.0000.966
주소1.0001.0001.0001.0001.0001.000
연락처1.0000.9961.0001.0001.0000.990
신고일0.9390.9900.9661.0000.9901.000

Missing values

2023-12-12T22:51:40.583956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:51:40.683563image/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

지역사업장명운영주체주소연락처신고일
0광역광역푸드뱅크전남사회복지협의회무안군 삼향읍 오룡3길 22061-283-14772009-02-01
1광역전남햇살나눔식품지원가게1호점전남사회복지협의회무안군 삼햡읍 오룡길3길 22061-283-84772009-09-01
2광역전남햇살나눔식품지원가게2호점쌍봉종합사회복지관여수시 신기북4길 11-1061-642-14772010-08-13
3목포예향참맛기초푸드뱅크목포지역자활센터목포시 해안로 173번길 34061-242-89802010-01-07
4목포예사랑나눔푸드뱅크한기장복지재단목포시 양을로 261-2061-278-09542015-07-27
5여수문수기초푸드뱅크문수종합사회복지관여수시 여문2로 11-10061-652-42421998-09-16
6여수쌍봉기초푸드뱅크쌍봉종합사회복지관여수시 학동서4길 58-20061-682-14771999-08-27
7순천순천시 기초푸드뱅크순천종합사회복지관순천시 저전길 84061-741-30621998-08-03
8순천순천시기초푸드마켓순천시사회복지협의회순천시 오천2길 3-11061-752-82062021-04-27
9나주나주시 기초푸드뱅크영산포종합사회복지관나주시 가마태길 38061-334-77272002-01-01
지역사업장명운영주체주소연락처신고일
20영암영암군 기초푸드뱅크영암지역자활센터영암군 영암읍 새동네길 22-1061-471-99332012-02-14
21무안무안군 기초푸드뱅크무안군종합사회복지관무안군 일로읍 삼일로 493061-283-18882017-01-02
22함평함평군 기초푸드뱅크(사)나비뜰동산함평군 함평읍 함장로 1071061-322-60882009-02-20
23함평함평 희망나눔기초푸드뱅크나눔봉사단함평군 함평읍 송정길 49061-324-18812020-12-11
24영광영광군 기초푸드뱅크사회복지법인 난원영광군 영광읍 중앙로 4길 7061-353-97402010-06-15
25영광장성군 기초푸드뱅크사회복지법인 난원영광군 영광읍 천년로 1361-15061-353-97401999-09-27
26장성장성군 기초푸드뱅크(사)은빛사랑촌장성군 장성읍 청운길 55061-394-59092016-01-01
27완도사랑나눔은행푸드뱅크완도제일교회완도군 완도읍 청해진남로23번길9061-554-13772007-11-15
28진도진도군 기초푸드뱅크개인진도군 진도읍 교동4길 25061-544-22102008-07-01
29신안1004섬신안기초푸드뱅크(재)신안군복지재단신안군 압해읍 추섬길 213061-271-73772019-11-04