Overview

Dataset statistics

Number of variables5
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory41.8 B

Variable types

Text4
Categorical1

Dataset

Description국립농산물품질관리원에서 관리하는 GAP인증기관의 부사무소 정보(지정번호, 인증기관명, 본사/지사, 소재지, 전화번호)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220614000000002103

Alerts

본사_지사 is highly imbalanced (63.7%)Imbalance
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:03:06.063279
Analysis finished2023-12-11 03:03:06.476698
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct60
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T12:03:06.607758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters370
Distinct characters12
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

Unique54 ?
Unique (%)73.0%

Sample

1st row제001호
2nd row제002호
3rd row제004호
4th row제005호
5th row제006호
ValueCountFrequency (%)
제066호 6
 
8.1%
제073호 4
 
5.4%
제055호 3
 
4.1%
제051호 3
 
4.1%
제012호 2
 
2.7%
제069호 2
 
2.7%
제097호 1
 
1.4%
제096호 1
 
1.4%
제076호 1
 
1.4%
제075호 1
 
1.4%
Other values (50) 50
67.6%
2023-12-11T12:03:06.905547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 85
23.0%
74
20.0%
74
20.0%
6 27
 
7.3%
7 20
 
5.4%
5 19
 
5.1%
3 14
 
3.8%
8 14
 
3.8%
9 13
 
3.5%
1 10
 
2.7%
Other values (2) 20
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
60.0%
Other Letter 148
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
38.3%
6 27
 
12.2%
7 20
 
9.0%
5 19
 
8.6%
3 14
 
6.3%
8 14
 
6.3%
9 13
 
5.9%
1 10
 
4.5%
2 10
 
4.5%
4 10
 
4.5%
Other Letter
ValueCountFrequency (%)
74
50.0%
74
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 222
60.0%
Hangul 148
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 85
38.3%
6 27
 
12.2%
7 20
 
9.0%
5 19
 
8.6%
3 14
 
6.3%
8 14
 
6.3%
9 13
 
5.9%
1 10
 
4.5%
2 10
 
4.5%
4 10
 
4.5%
Hangul
ValueCountFrequency (%)
74
50.0%
74
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222
60.0%
Hangul 148
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 85
38.3%
6 27
 
12.2%
7 20
 
9.0%
5 19
 
8.6%
3 14
 
6.3%
8 14
 
6.3%
9 13
 
5.9%
1 10
 
4.5%
2 10
 
4.5%
4 10
 
4.5%
Hangul
ValueCountFrequency (%)
74
50.0%
74
50.0%
Distinct60
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T12:03:07.091994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.540541
Min length6

Characters and Unicode

Total characters854
Distinct characters136
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)73.0%

Sample

1st row농협경제지주(주)식품R&D연구소
2nd row㈔한국생약협회
3rd row주식회사 온누리친환경
4th row주식회사 글로벌농식품인증원
5th row(재)금산인삼약초산업진흥원
ValueCountFrequency (%)
주식회사 26
23.2%
산학협력단 7
 
6.2%
농식품인증관리원 6
 
5.4%
녹색친환경 4
 
3.6%
사)한솔농림수산식품인증센터 3
 
2.7%
㈜비씨에스코리아 3
 
2.7%
강원대학교 2
 
1.8%
주)오에이티씨 2
 
1.8%
주)에이앤에프글로벌인증원 1
 
0.9%
주)호남유기인증연구소 1
 
0.9%
Other values (57) 57
50.9%
2023-12-11T12:03:07.599087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
6.2%
40
 
4.7%
38
 
4.4%
38
 
4.4%
34
 
4.0%
33
 
3.9%
33
 
3.9%
( 30
 
3.5%
) 30
 
3.5%
29
 
3.4%
Other values (126) 496
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 749
87.7%
Space Separator 38
 
4.4%
Open Punctuation 30
 
3.5%
Close Punctuation 30
 
3.5%
Other Symbol 4
 
0.5%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
 
7.1%
40
 
5.3%
38
 
5.1%
34
 
4.5%
33
 
4.4%
33
 
4.4%
29
 
3.9%
25
 
3.3%
17
 
2.3%
16
 
2.1%
Other values (118) 431
57.5%
Other Symbol
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 753
88.2%
Common 99
 
11.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
 
7.0%
40
 
5.3%
38
 
5.0%
34
 
4.5%
33
 
4.4%
33
 
4.4%
29
 
3.9%
25
 
3.3%
17
 
2.3%
16
 
2.1%
Other values (120) 435
57.8%
Common
ValueCountFrequency (%)
38
38.4%
( 30
30.3%
) 30
30.3%
& 1
 
1.0%
Latin
ValueCountFrequency (%)
R 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 749
87.7%
ASCII 101
 
11.8%
None 4
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
53
 
7.1%
40
 
5.3%
38
 
5.1%
34
 
4.5%
33
 
4.4%
33
 
4.4%
29
 
3.9%
25
 
3.3%
17
 
2.3%
16
 
2.1%
Other values (118) 431
57.5%
ASCII
ValueCountFrequency (%)
38
37.6%
( 30
29.7%
) 30
29.7%
R 1
 
1.0%
& 1
 
1.0%
D 1
 
1.0%
None
ValueCountFrequency (%)
3
75.0%
1
 
25.0%

본사_지사
Categorical

IMBALANCE 

Distinct15
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
본사
60 
영동사무소
 
1
전남사무소
 
1
강원사무소
 
1
충청사무소
 
1
Other values (10)
10 

Length

Max length6
Median length2
Mean length2.527027
Min length2

Unique

Unique14 ?
Unique (%)18.9%

Sample

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

Common Values

ValueCountFrequency (%)
본사 60
81.1%
영동사무소 1
 
1.4%
전남사무소 1
 
1.4%
강원사무소 1
 
1.4%
충청사무소 1
 
1.4%
호남사무소 1
 
1.4%
경북지사 1
 
1.4%
경남지사 1
 
1.4%
강원지사 1
 
1.4%
호남지사 1
 
1.4%
Other values (5) 5
 
6.8%

Length

2023-12-11T12:03:07.726710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본사 60
81.1%
전남사무소 2
 
2.7%
영동사무소 1
 
1.4%
강원사무소 1
 
1.4%
충청사무소 1
 
1.4%
호남사무소 1
 
1.4%
경북지사 1
 
1.4%
경남지사 1
 
1.4%
강원지사 1
 
1.4%
호남지사 1
 
1.4%
Other values (4) 4
 
5.4%

소재지
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T12:03:07.997853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length36
Mean length29.608108
Min length18

Characters and Unicode

Total characters2191
Distinct characters217
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 영통구 센트럴타운로 114-8 8층
2nd row서울특별시 동대문구 약령동길 88
3rd row충청남도 천안시 서북구 성정중7길 26 (성정동)
4th row대구광역시 북구 칠곡중앙대로136길 30 (동호동)
5th row충청남도 금산군 금산읍 인삼광장로 25
ValueCountFrequency (%)
경기도 10
 
2.2%
전라남도 10
 
2.2%
전라북도 9
 
2.0%
경상남도 8
 
1.8%
광주광역시 6
 
1.3%
충청남도 6
 
1.3%
충청북도 5
 
1.1%
서구 5
 
1.1%
2층 5
 
1.1%
대구광역시 5
 
1.1%
Other values (334) 385
84.8%
2023-12-11T12:03:08.392116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
 
17.7%
1 78
 
3.6%
65
 
3.0%
65
 
3.0%
64
 
2.9%
60
 
2.7%
2 57
 
2.6%
( 56
 
2.6%
) 56
 
2.6%
0 44
 
2.0%
Other values (207) 1259
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1317
60.1%
Space Separator 387
 
17.7%
Decimal Number 356
 
16.2%
Open Punctuation 56
 
2.6%
Close Punctuation 56
 
2.6%
Dash Punctuation 17
 
0.8%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
4.9%
65
 
4.9%
64
 
4.9%
60
 
4.6%
35
 
2.7%
34
 
2.6%
32
 
2.4%
30
 
2.3%
30
 
2.3%
29
 
2.2%
Other values (192) 873
66.3%
Decimal Number
ValueCountFrequency (%)
1 78
21.9%
2 57
16.0%
0 44
12.4%
3 43
12.1%
4 35
9.8%
5 25
 
7.0%
8 24
 
6.7%
7 19
 
5.3%
6 17
 
4.8%
9 14
 
3.9%
Space Separator
ValueCountFrequency (%)
387
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
60.1%
Common 874
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
4.9%
65
 
4.9%
64
 
4.9%
60
 
4.6%
35
 
2.7%
34
 
2.6%
32
 
2.4%
30
 
2.3%
30
 
2.3%
29
 
2.2%
Other values (192) 873
66.3%
Common
ValueCountFrequency (%)
387
44.3%
1 78
 
8.9%
2 57
 
6.5%
( 56
 
6.4%
) 56
 
6.4%
0 44
 
5.0%
3 43
 
4.9%
4 35
 
4.0%
5 25
 
2.9%
8 24
 
2.7%
Other values (5) 69
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1317
60.1%
ASCII 872
39.8%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
387
44.4%
1 78
 
8.9%
2 57
 
6.5%
( 56
 
6.4%
) 56
 
6.4%
0 44
 
5.0%
3 43
 
4.9%
4 35
 
4.0%
5 25
 
2.9%
8 24
 
2.8%
Other values (4) 67
 
7.7%
Hangul
ValueCountFrequency (%)
65
 
4.9%
65
 
4.9%
64
 
4.9%
60
 
4.6%
35
 
2.7%
34
 
2.6%
32
 
2.4%
30
 
2.3%
30
 
2.3%
29
 
2.2%
Other values (192) 873
66.3%
None
ValueCountFrequency (%)
2
100.0%
Distinct71
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T12:03:08.605092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters888
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

Unique70 ?
Unique (%)94.6%

Sample

1st row031-8021-7015
2nd row02-967-8133
3rd row041-555-1915
4th row053-326-9895
5th row041-750-1690
ValueCountFrequency (%)
055-356-6279 4
 
5.4%
061-811-2202 1
 
1.4%
055-880-2880 1
 
1.4%
061-334-8500 1
 
1.4%
062-971-9002 1
 
1.4%
053-783-9393 1
 
1.4%
02-423-7748 1
 
1.4%
053-324-3232 1
 
1.4%
070-4044-8830 1
 
1.4%
053-523-6063 1
 
1.4%
Other values (61) 61
82.4%
2023-12-11T12:03:08.938917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 148
16.7%
0 130
14.6%
3 99
11.1%
5 91
10.2%
2 84
9.5%
6 74
8.3%
1 70
7.9%
4 51
 
5.7%
8 51
 
5.7%
7 50
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 740
83.3%
Dash Punctuation 148
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
17.6%
3 99
13.4%
5 91
12.3%
2 84
11.4%
6 74
10.0%
1 70
9.5%
4 51
 
6.9%
8 51
 
6.9%
7 50
 
6.8%
9 40
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 888
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 148
16.7%
0 130
14.6%
3 99
11.1%
5 91
10.2%
2 84
9.5%
6 74
8.3%
1 70
7.9%
4 51
 
5.7%
8 51
 
5.7%
7 50
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 148
16.7%
0 130
14.6%
3 99
11.1%
5 91
10.2%
2 84
9.5%
6 74
8.3%
1 70
7.9%
4 51
 
5.7%
8 51
 
5.7%
7 50
 
5.6%

Correlations

2023-12-11T12:03:09.031755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호인증기관명본사_지사소재지전화번호
지정번호1.0001.0000.0001.0001.000
인증기관명1.0001.0000.0001.0001.000
본사_지사0.0000.0001.0001.0000.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0000.0001.0001.000

Missing values

2023-12-11T12:03:06.372959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:03:06.447113image/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

지정번호인증기관명본사_지사소재지전화번호
0제001호농협경제지주(주)식품R&D연구소본사경기도 수원시 영통구 센트럴타운로 114-8 8층031-8021-7015
1제002호㈔한국생약협회본사서울특별시 동대문구 약령동길 8802-967-8133
2제004호주식회사 온누리친환경본사충청남도 천안시 서북구 성정중7길 26 (성정동)041-555-1915
3제005호주식회사 글로벌농식품인증원본사대구광역시 북구 칠곡중앙대로136길 30 (동호동)053-326-9895
4제006호(재)금산인삼약초산업진흥원본사충청남도 금산군 금산읍 인삼광장로 25041-750-1690
5제012호강원대학교 산학협력단본사강원도 춘천시 강원대학길 1 3동(효자동 강원대학교 태백관)033-250-7267
6제012호강원대학교 산학협력단영동사무소강원도 삼척시 중앙로 346 강원대학교 삼척캠퍼스 학생회관 3층 308호033-570-6437
7제014호전주대학교 산학협력단본사전라북도 전주시 완산구 천잠로 303 (효자동2가,전주대학교)063-220-2002
8제023호토지글로닉스 주식회사본사광주광역시 서구 매월2로 16 (매월동)062-655-0755
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