Overview

Dataset statistics

Number of variables6
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory49.3 B

Variable types

Text5
DateTime1

Dataset

Description지리적표시관리 인증, 심사 등의 업무 관리(등록번호, 등록명칭, 등록일자, 대상지역, 생산계획량, 구성현황 등)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220204000000001691

Alerts

등록번호 has unique valuesUnique
등록명칭 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:27:29.103061
Analysis finished2024-03-23 07:27:32.443794
Duration3.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-03-23T07:27:32.917658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.029703
Min length3

Characters and Unicode

Total characters407
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

Unique101 ?
Unique (%)100.0%

Sample

1st row제1호
2nd row제2호
3rd row제3호
4th row제5호
5th row제6호
ValueCountFrequency (%)
제1호 1
 
1.0%
제62호 1
 
1.0%
제84호 1
 
1.0%
제83호 1
 
1.0%
제82호 1
 
1.0%
제81호 1
 
1.0%
제80호 1
 
1.0%
제79호 1
 
1.0%
제78호 1
 
1.0%
제77호 1
 
1.0%
Other values (91) 91
90.1%
2024-03-23T07:27:33.935065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 101
24.8%
호 101
24.8%
1 32
 
7.9%
9 21
 
5.2%
6 21
 
5.2%
7 21
 
5.2%
8 21
 
5.2%
0 21
 
5.2%
2 19
 
4.7%
3 18
 
4.4%
Other values (2) 31
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 205
50.4%
Other Letter 202
49.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
15.6%
9 21
10.2%
6 21
10.2%
7 21
10.2%
8 21
10.2%
0 21
10.2%
2 19
9.3%
3 18
8.8%
5 17
8.3%
4 14
6.8%
Other Letter
ValueCountFrequency (%)
제 101
50.0%
호 101
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
50.4%
Hangul 202
49.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 32
15.6%
9 21
10.2%
6 21
10.2%
7 21
10.2%
8 21
10.2%
0 21
10.2%
2 19
9.3%
3 18
8.8%
5 17
8.3%
4 14
6.8%
Hangul
ValueCountFrequency (%)
제 101
50.0%
호 101
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205
50.4%
Hangul 202
49.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 101
50.0%
호 101
50.0%
ASCII
ValueCountFrequency (%)
1 32
15.6%
9 21
10.2%
6 21
10.2%
7 21
10.2%
8 21
10.2%
0 21
10.2%
2 19
9.3%
3 18
8.8%
5 17
8.3%
4 14
6.8%

등록명칭
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-03-23T07:27:34.517034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.8316832
Min length3

Characters and Unicode

Total characters488
Distinct characters158
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row보성녹차
2nd row하동녹차
3rd row고창복분자주
4th row영양고춧가루
5th row의성마늘
ValueCountFrequency (%)
보성녹차 1
 
1.0%
의령망개떡 1
 
1.0%
진도검정쌀 1
 
1.0%
한우 1
 
1.0%
고흥 1
 
1.0%
창녕마늘 1
 
1.0%
나주배 1
 
1.0%
영광한우 1
 
1.0%
김포쌀 1
 
1.0%
인제콩 1
 
1.0%
Other values (95) 95
90.5%
2024-03-23T07:27:35.672189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 30
 
6.1%
산 15
 
3.1%
쌀 12
 
2.5%
영 12
 
2.5%
주 12
 
2.5%
삼 11
 
2.3%
수 11
 
2.3%
한 11
 
2.3%
려 10
 
2.0%
천 9
 
1.8%
Other values (148) 355
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
98.4%
Space Separator 4
 
0.8%
Other Punctuation 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 30
 
6.2%
산 15
 
3.1%
쌀 12
 
2.5%
영 12
 
2.5%
주 12
 
2.5%
삼 11
 
2.3%
수 11
 
2.3%
한 11
 
2.3%
려 10
 
2.1%
천 9
 
1.9%
Other values (144) 347
72.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
98.4%
Common 8
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 30
 
6.2%
산 15
 
3.1%
쌀 12
 
2.5%
영 12
 
2.5%
주 12
 
2.5%
삼 11
 
2.3%
수 11
 
2.3%
한 11
 
2.3%
려 10
 
2.1%
천 9
 
1.9%
Other values (144) 347
72.3%
Common
ValueCountFrequency (%)
4
50.0%
, 2
25.0%
) 1
 
12.5%
( 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
98.4%
ASCII 8
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 30
 
6.2%
산 15
 
3.1%
쌀 12
 
2.5%
영 12
 
2.5%
주 12
 
2.5%
삼 11
 
2.3%
수 11
 
2.3%
한 11
 
2.3%
려 10
 
2.1%
천 9
 
1.9%
Other values (144) 347
72.3%
ASCII
ValueCountFrequency (%)
4
50.0%
, 2
25.0%
) 1
 
12.5%
( 1
 
12.5%

등록일자
Date

Distinct72
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2002-01-25 00:00:00
Maximum2021-09-13 00:00:00
2024-03-23T07:27:36.440015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:27:37.153258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대상지역
Text

Distinct72
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-03-23T07:27:37.893003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length17
Mean length15.871287
Min length2

Characters and Unicode

Total characters1603
Distinct characters106
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)55.4%

Sample

1st row행정구역상 전라남도 보성군 일원
2nd row행정구역상 경상남도 하동군 일원
3rd row행정구역상 전라북도 고창군 일원
4th row행정구역상 경상북도 영양군 일원
5th row행정구역상 경상북도 의성군 일원
ValueCountFrequency (%)
일원 87
22.6%
행정구역상 77
20.0%
전라남도 27
 
7.0%
강원도 14
 
3.6%
경상북도 9
 
2.3%
국내 8
 
2.1%
경상남도 8
 
2.1%
전라북도 7
 
1.8%
충청남도 7
 
1.8%
충청북도 6
 
1.6%
Other values (101) 135
35.1%
2024-03-23T07:27:39.181492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
17.7%
원 102
 
6.4%
상 96
 
6.0%
도 93
 
5.8%
일 87
 
5.4%
역 84
 
5.2%
정 80
 
5.0%
구 79
 
4.9%
행 77
 
4.8%
군 65
 
4.1%
Other values (96) 556
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1297
80.9%
Space Separator 284
 
17.7%
Other Punctuation 16
 
1.0%
Decimal Number 3
 
0.2%
Open Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 102
 
7.9%
상 96
 
7.4%
도 93
 
7.2%
일 87
 
6.7%
역 84
 
6.5%
정 80
 
6.2%
구 79
 
6.1%
행 77
 
5.9%
군 65
 
5.0%
남 48
 
3.7%
Other values (89) 486
37.5%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
284
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1297
80.9%
Common 305
 
19.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 102
 
7.9%
상 96
 
7.4%
도 93
 
7.2%
일 87
 
6.7%
역 84
 
6.5%
정 80
 
6.2%
구 79
 
6.1%
행 77
 
5.9%
군 65
 
5.0%
남 48
 
3.7%
Other values (89) 486
37.5%
Common
ValueCountFrequency (%)
284
93.1%
, 16
 
5.2%
0 2
 
0.7%
( 1
 
0.3%
4 1
 
0.3%
) 1
 
0.3%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1297
80.9%
ASCII 306
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
92.8%
, 16
 
5.2%
0 2
 
0.7%
( 1
 
0.3%
4 1
 
0.3%
m 1
 
0.3%
) 1
 
0.3%
Hangul
ValueCountFrequency (%)
원 102
 
7.9%
상 96
 
7.4%
도 93
 
7.2%
일 87
 
6.7%
역 84
 
6.5%
정 80
 
6.2%
구 79
 
6.1%
행 77
 
5.9%
군 65
 
5.0%
남 48
 
3.7%
Other values (89) 486
37.5%

생산계획량
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-03-23T07:27:39.782625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.7722772
Min length1

Characters and Unicode

Total characters482
Distinct characters12
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

Unique99 ?
Unique (%)98.0%

Sample

1st row10톤
2nd row6톤
3rd row2톤
4th row395톤
5th row10340톤
ValueCountFrequency (%)
2378톤 2
 
2.0%
21톤 1
 
1.0%
55.1톤 1
 
1.0%
7081톤 1
 
1.0%
1240톤 1
 
1.0%
31524톤 1
 
1.0%
7070톤 1
 
1.0%
503톤 1
 
1.0%
21370톤 1
 
1.0%
1356톤 1
 
1.0%
Other values (90) 90
89.1%
2024-03-23T07:27:40.823112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
톤 101
21.0%
1 56
11.6%
0 53
11.0%
2 44
9.1%
3 40
 
8.3%
5 33
 
6.8%
6 33
 
6.8%
4 31
 
6.4%
8 30
 
6.2%
9 29
 
6.0%
Other values (2) 32
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 377
78.2%
Other Letter 101
 
21.0%
Other Punctuation 4
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 56
14.9%
0 53
14.1%
2 44
11.7%
3 40
10.6%
5 33
8.8%
6 33
8.8%
4 31
8.2%
8 30
8.0%
9 29
7.7%
7 28
7.4%
Other Letter
ValueCountFrequency (%)
톤 101
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 381
79.0%
Hangul 101
 
21.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 56
14.7%
0 53
13.9%
2 44
11.5%
3 40
10.5%
5 33
8.7%
6 33
8.7%
4 31
8.1%
8 30
7.9%
9 29
7.6%
7 28
7.3%
Hangul
ValueCountFrequency (%)
톤 101
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 381
79.0%
Hangul 101
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
톤 101
100.0%
ASCII
ValueCountFrequency (%)
1 56
14.7%
0 53
13.9%
2 44
11.5%
3 40
10.5%
5 33
8.7%
6 33
8.7%
4 31
8.1%
8 30
7.9%
9 29
7.6%
7 28
7.3%

구성현황
Text

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-03-23T07:27:41.327142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length12.653465
Min length7

Characters and Unicode

Total characters1278
Distinct characters189
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

Unique86 ?
Unique (%)85.1%

Sample

1st row영농조합법인 보성녹차연합회
2nd row하동차영농조합법인
3rd row고창으뜸복분자주 영농조합법인
4th row영양고추영농조합법인
5th row의성마늘생산자단체협의회영농조합법인
ValueCountFrequency (%)
사단법인 13
 
10.1%
영농조합법인 11
 
8.5%
사)고려인삼연합회 7
 
5.4%
영월고추영농조합법인 2
 
1.6%
영광고추산업연합회 2
 
1.6%
동고령농업협동조합 2
 
1.6%
안성시농특산물생산자연합회 2
 
1.6%
나주배지리적표시영농조합법인 1
 
0.8%
보성녹차연합회 1
 
0.8%
사)의령망개떡협의회 1
 
0.8%
Other values (87) 87
67.4%
2024-03-23T07:27:41.916211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 89
 
7.0%
인 80
 
6.3%
법 70
 
5.5%
영 66
 
5.2%
조 65
 
5.1%
농 62
 
4.9%
산 50
 
3.9%
회 49
 
3.8%
사 46
 
3.6%
자 31
 
2.4%
Other values (179) 670
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1208
94.5%
Space Separator 28
 
2.2%
Open Punctuation 21
 
1.6%
Close Punctuation 21
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 89
 
7.4%
인 80
 
6.6%
법 70
 
5.8%
영 66
 
5.5%
조 65
 
5.4%
농 62
 
5.1%
산 50
 
4.1%
회 49
 
4.1%
사 46
 
3.8%
자 31
 
2.6%
Other values (176) 600
49.7%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1208
94.5%
Common 70
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 89
 
7.4%
인 80
 
6.6%
법 70
 
5.8%
영 66
 
5.5%
조 65
 
5.4%
농 62
 
5.1%
산 50
 
4.1%
회 49
 
4.1%
사 46
 
3.8%
자 31
 
2.6%
Other values (176) 600
49.7%
Common
ValueCountFrequency (%)
28
40.0%
( 21
30.0%
) 21
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1208
94.5%
ASCII 70
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 89
 
7.4%
인 80
 
6.6%
법 70
 
5.8%
영 66
 
5.5%
조 65
 
5.4%
농 62
 
5.1%
산 50
 
4.1%
회 49
 
4.1%
사 46
 
3.8%
자 31
 
2.6%
Other values (176) 600
49.7%
ASCII
ValueCountFrequency (%)
28
40.0%
( 21
30.0%
) 21
30.0%

Correlations

2024-03-23T07:27:42.291769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일자대상지역생산계획량구성현황
등록일자1.0000.9880.9970.996
대상지역0.9881.0000.9961.000
생산계획량0.9970.9961.0000.996
구성현황0.9961.0000.9961.000

Missing values

2024-03-23T07:27:31.813802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:27:32.311145image/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

등록번호등록명칭등록일자대상지역생산계획량구성현황
0제1호보성녹차2002-01-25행정구역상 전라남도 보성군 일원10톤영농조합법인 보성녹차연합회
1제2호하동녹차2003-05-02행정구역상 경상남도 하동군 일원6톤하동차영농조합법인
2제3호고창복분자주2004-01-15행정구역상 전라북도 고창군 일원2톤고창으뜸복분자주 영농조합법인
3제5호영양고춧가루2005-03-05행정구역상 경상북도 영양군 일원395톤영양고추영농조합법인
4제6호의성마늘2005-07-18행정구역상 경상북도 의성군 일원10340톤의성마늘생산자단체협의회영농조합법인
5제7호괴산고추2005-08-25행정구역상 충청북도 괴산군 일원1482톤괴산고추영농조합법인
6제8호순창전통고추장2005-10-14행정구역상 전라북도 순창군 일원60톤영농조합법인순창전통고추장연합회
7제9호괴산고춧가루2015-07-08행정구역상 충청북도 괴산군 일원톤괴산군조합공동사업법인
8제10호성주참외2005-12-01행정구역상 경상북도 성주군 일원65969톤성주참외생산자단체협의회영농조합법인
9제11호해남겨울배추2005-12-26행정구역상 전라남도 해남군 일원68393톤해남겨울배추협의회영농조합법인
등록번호등록명칭등록일자대상지역생산계획량구성현황
91제101호안성한우2016-02-12안성시 일원1069톤안성축산업협동조합
92제102호고려흑삼2016-06-22국내19톤(사)고려인삼연합회
93제103호고려흑삼제품2016-06-22국내13톤(사)고려인삼연합회
94제104호영광모싯잎송편2017-05-11전라남도 영광군 일원1566톤(사)영광에서모싯잎떡을만드는사람들
95제105호기장쪽파2018-03-19부산광역시 기장군2800톤기장쪽파영농조합법인
96제106호태안달래2018-05-28충청남도 태안군264.76톤태안달래영농조합법인
97제107호부안오디2019-09-17전라북도 부안군 일원1030톤부안뽕 영농조합법인
98제108호곡성토란2019-09-17전라남도 곡성군 일원1700톤사단법인 곡성군토란생산자협의회
99제109호양구시래기2020-02-26강원도 양구군 일원518톤양구시래기생산자연합회영농조합법인
100제110호서천한산소곡주2021-09-13충남 서천군(한산면, 화양면, 기산면, 마산면)382800톤서천한산소곡주영농조합법인