Overview

Dataset statistics

Number of variables12
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory100.6 B

Variable types

Categorical6
Text5
DateTime1

Dataset

Description충청북도 푸드뱅크현황의 지원센터, 신고구분 운영단체명, 대표자명, 전화번호, 주소, 등록일자 등의 정보를 제공합니다. (충청북도사회복지협회, 청주시사회복지협의회 등)
URLhttps://www.data.go.kr/data/15048178/fileData.do

Alerts

지역 has constant value ""Constant
센터단위 is highly imbalanced (78.4%)Imbalance
지원센터 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:04:36.239728
Analysis finished2023-12-12 14:04:37.110531
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
충북
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충북 29
100.0%

Length

2023-12-12T23:04:37.181092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:37.266609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충북 29
100.0%

시군구
Categorical

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
충청북도 청주시 상당구
4 
충청북도 청주시 흥덕구
3 
충청북도 괴산군
3 
충청북도 음성군
3 
충청북도 단양군
3 
Other values (8)
13 

Length

Max length12
Median length8
Mean length9.2413793
Min length8

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row충청북도 청주시 흥덕구
2nd row충청북도 청주시 흥덕구
3rd row충청북도 청주시 상당구
4th row충청북도 청주시 흥덕구
5th row충청북도 청주시 청원구

Common Values

ValueCountFrequency (%)
충청북도 청주시 상당구 4
13.8%
충청북도 청주시 흥덕구 3
10.3%
충청북도 괴산군 3
10.3%
충청북도 음성군 3
10.3%
충청북도 단양군 3
10.3%
충청북도 청주시 청원구 2
6.9%
충청북도 충주시 2
6.9%
충청북도 제천시 2
6.9%
충청북도 옥천군 2
6.9%
충청북도 진천군 2
6.9%
Other values (3) 3
10.3%

Length

2023-12-12T23:04:37.378803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청북도 29
43.3%
청주시 9
 
13.4%
상당구 4
 
6.0%
흥덕구 3
 
4.5%
괴산군 3
 
4.5%
음성군 3
 
4.5%
단양군 3
 
4.5%
청원구 2
 
3.0%
충주시 2
 
3.0%
제천시 2
 
3.0%
Other values (5) 7
 
10.4%

센터단위
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
기초
28 
광역
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row광역
2nd row기초
3rd row기초
4th row기초
5th row기초

Common Values

ValueCountFrequency (%)
기초 28
96.6%
광역 1
 
3.4%

Length

2023-12-12T23:04:37.530679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:37.627130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기초 28
96.6%
광역 1
 
3.4%

센터구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
푸드뱅크
23 
푸드마켓
6 

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 23
79.3%
푸드마켓 6
 
20.7%

Length

2023-12-12T23:04:37.746112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:37.863003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
푸드뱅크 23
79.3%
푸드마켓 6
 
20.7%

지원센터
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:04:38.094163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.3793103
Min length6

Characters and Unicode

Total characters214
Distinct characters54
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

Unique29 ?
Unique (%)100.0%

Sample

1st row광역기부식품등지원센터
2nd row청주시흥덕푸드뱅크
3rd row청주구세군푸드뱅크
4th row청주사랑나눔푸드뱅크
5th row청주드림푸드뱅크
ValueCountFrequency (%)
광역기부식품등지원센터 1
 
3.4%
옥천나눔푸드뱅크 1
 
3.4%
단양나눔과기쁨 1
 
3.4%
단양군푸드뱅크 1
 
3.4%
관성푸드뱅크 1
 
3.4%
한울사랑나눔 1
 
3.4%
음성군푸드뱅크 1
 
3.4%
괴산군푸드마켓 1
 
3.4%
괴산나눔과기쁨 1
 
3.4%
괴산군푸드뱅크 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T23:04:38.499743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 25
 
11.7%
푸 24
 
11.2%
뱅 19
 
8.9%
크 19
 
8.9%
군 10
 
4.7%
청 8
 
3.7%
주 8
 
3.7%
눔 7
 
3.3%
나 7
 
3.3%
천 6
 
2.8%
Other values (44) 81
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 25
 
11.7%
푸 24
 
11.2%
뱅 19
 
8.9%
크 19
 
8.9%
군 10
 
4.7%
청 8
 
3.7%
주 8
 
3.7%
눔 7
 
3.3%
나 7
 
3.3%
천 6
 
2.8%
Other values (44) 81
37.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 25
 
11.7%
푸 24
 
11.2%
뱅 19
 
8.9%
크 19
 
8.9%
군 10
 
4.7%
청 8
 
3.7%
주 8
 
3.7%
눔 7
 
3.3%
나 7
 
3.3%
천 6
 
2.8%
Other values (44) 81
37.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 25
 
11.7%
푸 24
 
11.2%
뱅 19
 
8.9%
크 19
 
8.9%
군 10
 
4.7%
청 8
 
3.7%
주 8
 
3.7%
눔 7
 
3.3%
나 7
 
3.3%
천 6
 
2.8%
Other values (44) 81
37.9%

신고구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
당연신고
17 
임의신고
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row당연신고
2nd row임의신고
3rd row당연신고
4th row당연신고
5th row당연신고

Common Values

ValueCountFrequency (%)
당연신고 17
58.6%
임의신고 12
41.4%

Length

2023-12-12T23:04:38.664171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:38.787275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당연신고 17
58.6%
임의신고 12
41.4%

운영단체명
Text

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:04:38.982858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length10.37931
Min length2

Characters and Unicode

Total characters301
Distinct characters70
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

Unique12 ?
Unique (%)41.4%

Sample

1st row충청북도사회복지협의회
2nd row청주시사회복지협의회
3rd row구세군청주복지센터
4th row개인
5th row기독교대한감리회(드림교회)
ValueCountFrequency (%)
개인 7
21.2%
사회복지법인 4
12.1%
열림재단(충주종합사회복지관 2
 
6.1%
제천시사회복지협의회 2
 
6.1%
괴산군사회복지협의회 2
 
6.1%
청주시사회복지협의회 2
 
6.1%
단양군사회복지협의회 2
 
6.1%
전석복지재단(옥천군노인장애인복지관 1
 
3.0%
충청북도사회복지협의회 1
 
3.0%
열림재단(삼보사회복지관 1
 
3.0%
Other values (9) 9
27.3%
2023-12-12T23:04:39.305287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 39
 
13.0%
복 23
 
7.6%
지 23
 
7.6%
사 21
 
7.0%
의 13
 
4.3%
협 13
 
4.3%
인 13
 
4.3%
군 10
 
3.3%
개 7
 
2.3%
) 7
 
2.3%
Other values (60) 132
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
94.0%
Close Punctuation 7
 
2.3%
Open Punctuation 7
 
2.3%
Space Separator 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 39
 
13.8%
복 23
 
8.1%
지 23
 
8.1%
사 21
 
7.4%
의 13
 
4.6%
협 13
 
4.6%
인 13
 
4.6%
군 10
 
3.5%
개 7
 
2.5%
교 7
 
2.5%
Other values (57) 114
40.3%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
94.0%
Common 18
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 39
 
13.8%
복 23
 
8.1%
지 23
 
8.1%
사 21
 
7.4%
의 13
 
4.6%
협 13
 
4.6%
인 13
 
4.6%
군 10
 
3.5%
개 7
 
2.5%
교 7
 
2.5%
Other values (57) 114
40.3%
Common
ValueCountFrequency (%)
) 7
38.9%
( 7
38.9%
4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
94.0%
ASCII 18
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 39
 
13.8%
복 23
 
8.1%
지 23
 
8.1%
사 21
 
7.4%
의 13
 
4.6%
협 13
 
4.6%
인 13
 
4.6%
군 10
 
3.5%
개 7
 
2.5%
교 7
 
2.5%
Other values (57) 114
40.3%
ASCII
ValueCountFrequency (%)
) 7
38.9%
( 7
38.9%
4
22.2%

운영법인분류(대)
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
법인 운영
21 
개인 운영
8 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인 운영
2nd row법인 운영
3rd row법인 운영
4th row개인 운영
5th row법인 운영

Common Values

ValueCountFrequency (%)
법인 운영 21
72.4%
개인 운영 8
 
27.6%

Length

2023-12-12T23:04:39.458265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:39.569371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 29
50.0%
법인 21
36.2%
개인 8
 
13.8%

대표자명
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:04:39.824264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0344828
Min length3

Characters and Unicode

Total characters88
Distinct characters33
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

Unique19 ?
Unique (%)65.5%

Sample

1st row김*석
2nd row이*형
3rd row이*혁
4th row조*옥
5th row문*길
ValueCountFrequency (%)
김*학 2
 
6.9%
양*경 2
 
6.9%
이*형 2
 
6.9%
최*묵 2
 
6.9%
이*훈 2
 
6.9%
손*영 1
 
3.4%
김*석 1
 
3.4%
정*선 1
 
3.4%
유*호 1
 
3.4%
이*경 1
 
3.4%
Other values (14) 14
48.3%
2023-12-12T23:04:40.273762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 29
33.0%
이 10
 
11.4%
김 5
 
5.7%
경 4
 
4.5%
선 4
 
4.5%
훈 3
 
3.4%
용 2
 
2.3%
학 2
 
2.3%
양 2
 
2.3%
형 2
 
2.3%
Other values (23) 25
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58
65.9%
Other Punctuation 29
33.0%
Space Separator 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
17.2%
김 5
 
8.6%
경 4
 
6.9%
선 4
 
6.9%
훈 3
 
5.2%
용 2
 
3.4%
학 2
 
3.4%
양 2
 
3.4%
형 2
 
3.4%
최 2
 
3.4%
Other values (21) 22
37.9%
Other Punctuation
ValueCountFrequency (%)
* 29
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58
65.9%
Common 30
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
17.2%
김 5
 
8.6%
경 4
 
6.9%
선 4
 
6.9%
훈 3
 
5.2%
용 2
 
3.4%
학 2
 
3.4%
양 2
 
3.4%
형 2
 
3.4%
최 2
 
3.4%
Other values (21) 22
37.9%
Common
ValueCountFrequency (%)
* 29
96.7%
1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58
65.9%
ASCII 30
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 29
96.7%
1
 
3.3%
Hangul
ValueCountFrequency (%)
이 10
17.2%
김 5
 
8.6%
경 4
 
6.9%
선 4
 
6.9%
훈 3
 
5.2%
용 2
 
3.4%
학 2
 
3.4%
양 2
 
3.4%
형 2
 
3.4%
최 2
 
3.4%
Other values (21) 22
37.9%

센터전화번호
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:04:40.568773image/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 row043-234-1377
2nd row043-267-1377
3rd row043-254-1377
4th row043-266-1377
5th row043-218-7991
ValueCountFrequency (%)
043-834-1377 2
 
6.9%
043-234-1377 1
 
3.4%
043-267-1377 1
 
3.4%
043-421-3191 1
 
3.4%
043-422-1299 1
 
3.4%
043-877-9457 1
 
3.4%
043-878-4312 1
 
3.4%
043-873-2882 1
 
3.4%
043-832-3197 1
 
3.4%
043-536-0129 1
 
3.4%
Other values (18) 18
62.1%
2023-12-12T23:04:41.108590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 59
17.0%
- 58
16.7%
4 48
13.8%
0 40
11.5%
7 37
10.6%
1 28
8.0%
2 25
7.2%
8 17
 
4.9%
5 13
 
3.7%
6 12
 
3.4%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 59
20.3%
4 48
16.6%
0 40
13.8%
7 37
12.8%
1 28
9.7%
2 25
8.6%
8 17
 
5.9%
5 13
 
4.5%
6 12
 
4.1%
9 11
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 59
17.0%
- 58
16.7%
4 48
13.8%
0 40
11.5%
7 37
10.6%
1 28
8.0%
2 25
7.2%
8 17
 
4.9%
5 13
 
3.7%
6 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 59
17.0%
- 58
16.7%
4 48
13.8%
0 40
11.5%
7 37
10.6%
1 28
8.0%
2 25
7.2%
8 17
 
4.9%
5 13
 
3.7%
6 12
 
3.4%

주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:04:41.488206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length19.448276
Min length14

Characters and Unicode

Total characters564
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row청주시 흥덕구 공단로 87, 302호
2nd row청주시 흥덕구 무심서로 665(운천동), 2층
3rd row청주시 상당구 쇠내로 145번길 15, A동 202호
4th row청주시 흥덕구 강서로 71번길 20-3
5th row청주시 청원구 상리로17번길 27-40(율량동)
ValueCountFrequency (%)
청주시 9
 
6.8%
1층 5
 
3.8%
상당구 4
 
3.0%
괴산군 3
 
2.3%
단양군 3
 
2.3%
괴산읍 3
 
2.3%
음성군 3
 
2.3%
흥덕구 3
 
2.3%
15 3
 
2.3%
단양읍 2
 
1.5%
Other values (86) 95
71.4%
2023-12-12T23:04:42.039168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
18.6%
1 30
 
5.3%
로 24
 
4.3%
군 16
 
2.8%
길 15
 
2.7%
읍 14
 
2.5%
시 13
 
2.3%
2 13
 
2.3%
3 13
 
2.3%
천 13
 
2.3%
Other values (89) 308
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
55.9%
Decimal Number 111
 
19.7%
Space Separator 105
 
18.6%
Other Punctuation 11
 
2.0%
Close Punctuation 7
 
1.2%
Open Punctuation 7
 
1.2%
Dash Punctuation 6
 
1.1%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 24
 
7.6%
군 16
 
5.1%
길 15
 
4.8%
읍 14
 
4.4%
시 13
 
4.1%
천 13
 
4.1%
주 12
 
3.8%
청 12
 
3.8%
동 10
 
3.2%
구 9
 
2.9%
Other values (72) 177
56.2%
Decimal Number
ValueCountFrequency (%)
1 30
27.0%
2 13
11.7%
3 13
11.7%
7 12
 
10.8%
5 10
 
9.0%
0 10
 
9.0%
4 7
 
6.3%
8 6
 
5.4%
6 6
 
5.4%
9 4
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
55.9%
Common 247
43.8%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 24
 
7.6%
군 16
 
5.1%
길 15
 
4.8%
읍 14
 
4.4%
시 13
 
4.1%
천 13
 
4.1%
주 12
 
3.8%
청 12
 
3.8%
동 10
 
3.2%
구 9
 
2.9%
Other values (72) 177
56.2%
Common
ValueCountFrequency (%)
105
42.5%
1 30
 
12.1%
2 13
 
5.3%
3 13
 
5.3%
7 12
 
4.9%
, 11
 
4.5%
5 10
 
4.0%
0 10
 
4.0%
4 7
 
2.8%
) 7
 
2.8%
Other values (5) 29
 
11.7%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
55.9%
ASCII 249
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
42.2%
1 30
 
12.0%
2 13
 
5.2%
3 13
 
5.2%
7 12
 
4.8%
, 11
 
4.4%
5 10
 
4.0%
0 10
 
4.0%
4 7
 
2.8%
) 7
 
2.8%
Other values (7) 31
 
12.4%
Hangul
ValueCountFrequency (%)
로 24
 
7.6%
군 16
 
5.1%
길 15
 
4.8%
읍 14
 
4.4%
시 13
 
4.1%
천 13
 
4.1%
주 12
 
3.8%
청 12
 
3.8%
동 10
 
3.2%
구 9
 
2.9%
Other values (72) 177
56.2%

등록일자
Date

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1998-09-17 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T23:04:42.526329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:04:42.680612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

Correlations

2023-12-12T23:04:42.789043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구센터단위센터구분지원센터신고구분운영단체명운영법인분류(대)대표자명센터전화번호주소등록일자
시군구1.0000.0000.0001.0000.0000.9330.0000.9921.0001.0000.000
센터단위0.0001.0000.0001.0000.0001.0000.0001.0001.0001.0001.000
센터구분0.0000.0001.0001.0000.7030.0000.1880.0000.0000.0001.000
지원센터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
신고구분0.0000.0000.7031.0001.0000.0000.0000.0000.0000.0000.000
운영단체명0.9331.0000.0001.0000.0001.0001.0001.0001.0001.0000.824
운영법인분류(대)0.0000.0000.1881.0000.0001.0001.0001.0001.0001.0001.000
대표자명0.9921.0000.0001.0000.0001.0001.0001.0001.0001.0000.953
센터전화번호1.0001.0000.0001.0000.0001.0001.0001.0001.0001.0000.990
주소1.0001.0000.0001.0000.0001.0001.0001.0001.0001.0000.990
등록일자0.0001.0001.0001.0000.0000.8241.0000.9530.9900.9901.000
2023-12-12T23:04:42.942420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센터구분시군구신고구분운영법인분류(대)센터단위
센터구분1.0000.0000.4950.1150.000
시군구0.0001.0000.0000.0000.000
신고구분0.4950.0001.0000.0000.000
운영법인분류(대)0.1150.0000.0001.0000.000
센터단위0.0000.0000.0000.0001.000
2023-12-12T23:04:43.059588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구센터단위센터구분신고구분운영법인분류(대)
시군구1.0000.0000.0000.0000.000
센터단위0.0001.0000.0000.0000.000
센터구분0.0000.0001.0000.4950.115
신고구분0.0000.0000.4951.0000.000
운영법인분류(대)0.0000.0000.1150.0001.000

Missing values

2023-12-12T23:04:36.905331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:04:37.055129image/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

지역시군구센터단위센터구분지원센터신고구분운영단체명운영법인분류(대)대표자명센터전화번호주소등록일자
0충북충청북도 청주시 흥덕구광역푸드뱅크광역기부식품등지원센터당연신고충청북도사회복지협의회법인 운영김*석043-234-1377청주시 흥덕구 공단로 87, 302호2000-05-18
1충북충청북도 청주시 흥덕구기초푸드뱅크청주시흥덕푸드뱅크임의신고청주시사회복지협의회법인 운영이*형043-267-1377청주시 흥덕구 무심서로 665(운천동), 2층2002-08-19
2충북충청북도 청주시 상당구기초푸드뱅크청주구세군푸드뱅크당연신고구세군청주복지센터법인 운영이*혁043-254-1377청주시 상당구 쇠내로 145번길 15, A동 202호2010-01-01
3충북충청북도 청주시 흥덕구기초푸드뱅크청주사랑나눔푸드뱅크당연신고개인개인 운영조*옥043-266-1377청주시 흥덕구 강서로 71번길 20-32008-03-03
4충북충청북도 청주시 청원구기초푸드뱅크청주드림푸드뱅크당연신고기독교대한감리회(드림교회)법인 운영문*길043-218-7991청주시 청원구 상리로17번길 27-40(율량동)2012-05-14
5충북충청북도 청주시 상당구기초푸드뱅크청주제일푸드뱅크임의신고한국기독교장로회(청주제일교회)법인 운영이*희043-256-3816청주시 상당구 상당로 13번길 15(남문로1가)2013-03-15
6충북충청북도 청주시 청원구기초푸드뱅크청원푸드뱅크당연신고개인개인 운영김*경043-218-1377청주시 청원구 내수읍 내수로 7372005-07-05
7충북충청북도 청주시 상당구기초푸드뱅크대청푸드뱅크당연신고개인개인 운영이*순043-221-7838청주시 상당구 문의면 두모1길 13-82014-05-28
8충북충청북도 청주시 상당구기초푸드마켓청주시푸드마켓임의신고청주시사회복지협의회법인 운영이*형043-222-9171청주시 상당구 남사로 83번길 35(서문동)2009-06-15
9충북충청북도 충주시기초푸드뱅크충주시푸드뱅크당연신고사회복지법인 열림재단(충주종합사회복지관)법인 운영이*훈043-855-3000충주시 주공길 7 (연수동)2002-07-01
지역시군구센터단위센터구분지원센터신고구분운영단체명운영법인분류(대)대표자명센터전화번호주소등록일자
19충북충청북도 진천군기초푸드뱅크진천나눔과기쁨임의신고개인개인 운영안*선043-536-0129진천군 진천읍 진광로 72-1, 1층2006-03-07
20충북충청북도 괴산군기초푸드뱅크괴산군푸드뱅크당연신고괴산군사회복지협의회법인 운영최*묵043-834-1377괴산군 괴산읍 괴강로 15, 1층2001-08-31
21충북충청북도 괴산군기초푸드뱅크괴산나눔과기쁨당연신고개인개인 운영김*윤043-832-3197괴산군 괴산읍 정용1길 82010-09-27
22충북충청북도 괴산군기초푸드마켓괴산군푸드마켓임의신고괴산군사회복지협의회법인 운영최*묵043-834-1377괴산군 괴산읍 괴강로 15, 1층2011-12-16
23충북충청북도 음성군기초푸드뱅크음성군푸드뱅크당연신고음성군사회복지협의회법인 운영이*용043-873-2882음성군 음성읍 중앙로40번길 9-1, 201호2003-08-04
24충북충청북도 음성군기초푸드뱅크한울사랑나눔당연신고한울사랑나눔푸드뱅크개인 운영이*경043-878-4312음성군 생극면 음성로 1620번길 72011-11-25
25충북충청북도 음성군기초푸드뱅크관성푸드뱅크당연신고개인개인 운영유*호043-877-9457음성군 삼성면 대성로547번길 122014-04-18
26충북충청북도 단양군기초푸드뱅크단양군푸드뱅크임의신고단양군사회복지협의회법인 운영김*학043-422-1299단양군 단양읍 수변로 83, 3층2022-12-01
27충북충청북도 단양군기초푸드뱅크단양나눔과기쁨당연신고기독교대한성결교회(단양수정교회)법인 운영함*용043-421-3191단양군 대강면 장림1길 62012-04-17
28충북충청북도 단양군기초푸드마켓단양군푸드마켓임의신고단양군사회복지협의회법인 운영김*학043-422-1700단양군 단양읍 중앙1로 29, 1층2012-06-22