Overview

Dataset statistics

Number of variables8
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory67.8 B

Variable types

Text4
Boolean1
Categorical3

Dataset

Description인삼류(홍삼, 태극삼, 백삼, 흑삼)를 시중에 유통 및 판매하기 위해 품질검사를 실시하는 검사업체 정보(업체명, 대표자, 소재지, 최초지정일자, 지정삼종별 검사여부)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191011000000001209

Alerts

지정삼종 홍삼 has constant value ""Constant
업체명 has unique valuesUnique
대표자 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:32:53.436679
Analysis finished2023-12-11 03:32:54.074034
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T12:32:54.241738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.4857143
Min length3

Characters and Unicode

Total characters297
Distinct characters79
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row인삼검사소
2nd row㈜한국인삼공사
3rd row대금인삼
4th row백제금산인삼협동조합
5th row(주)유엔아이금산지점
ValueCountFrequency (%)
인삼검사소 1
 
2.8%
김포파주인삼농협 1
 
2.8%
한국고려홍삼조합(주 1
 
2.8%
영농조합법인풍기인삼나라 1
 
2.8%
농업회사법인(주 1
 
2.8%
한국인삼 1
 
2.8%
유)자연의길 1
 
2.8%
고려인삼영농조합법인 1
 
2.8%
대길인삼영농조합법인 1
 
2.8%
㈜삼흥 1
 
2.8%
Other values (26) 26
72.2%
2023-12-11T12:32:54.629672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 34
 
11.4%
삼 32
 
10.8%
농 18
 
6.1%
조 16
 
5.4%
합 15
 
5.1%
법 11
 
3.7%
영 10
 
3.4%
협 9
 
3.0%
주 7
 
2.4%
( 6
 
2.0%
Other values (69) 139
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
93.9%
Open Punctuation 6
 
2.0%
Close Punctuation 6
 
2.0%
Other Symbol 5
 
1.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 34
 
12.2%
삼 32
 
11.5%
농 18
 
6.5%
조 16
 
5.7%
합 15
 
5.4%
법 11
 
3.9%
영 10
 
3.6%
협 9
 
3.2%
주 7
 
2.5%
려 6
 
2.2%
Other values (65) 121
43.4%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
95.6%
Common 13
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 34
 
12.0%
삼 32
 
11.3%
농 18
 
6.3%
조 16
 
5.6%
합 15
 
5.3%
법 11
 
3.9%
영 10
 
3.5%
협 9
 
3.2%
주 7
 
2.5%
려 6
 
2.1%
Other values (66) 126
44.4%
Common
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
93.9%
ASCII 13
 
4.4%
None 5
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 34
 
12.2%
삼 32
 
11.5%
농 18
 
6.5%
조 16
 
5.7%
합 15
 
5.4%
법 11
 
3.9%
영 10
 
3.6%
협 9
 
3.2%
주 7
 
2.5%
려 6
 
2.2%
Other values (65) 121
43.4%
ASCII
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
1
 
7.7%
None
ValueCountFrequency (%)
㈜ 5
100.0%

대표자
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T12:32:54.863702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters105
Distinct characters62
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

Unique35 ?
Unique (%)100.0%

Sample

1st row이정만
2nd row김재수
3rd row염현숙
4th row강상묵
5th row민홍기
ValueCountFrequency (%)
이정만 1
 
2.9%
윤청광 1
 
2.9%
유경종 1
 
2.9%
김영식 1
 
2.9%
백인구 1
 
2.9%
길호철 1
 
2.9%
김영순 1
 
2.9%
길기성 1
 
2.9%
김재옥 1
 
2.9%
고봉준 1
 
2.9%
Other values (25) 25
71.4%
2023-12-11T12:32:55.200303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 6
 
5.7%
김 6
 
5.7%
이 4
 
3.8%
박 4
 
3.8%
성 4
 
3.8%
재 4
 
3.8%
봉 3
 
2.9%
종 3
 
2.9%
기 3
 
2.9%
길 2
 
1.9%
Other values (52) 66
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 6
 
5.7%
김 6
 
5.7%
이 4
 
3.8%
박 4
 
3.8%
성 4
 
3.8%
재 4
 
3.8%
봉 3
 
2.9%
종 3
 
2.9%
기 3
 
2.9%
길 2
 
1.9%
Other values (52) 66
62.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 6
 
5.7%
김 6
 
5.7%
이 4
 
3.8%
박 4
 
3.8%
성 4
 
3.8%
재 4
 
3.8%
봉 3
 
2.9%
종 3
 
2.9%
기 3
 
2.9%
길 2
 
1.9%
Other values (52) 66
62.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 6
 
5.7%
김 6
 
5.7%
이 4
 
3.8%
박 4
 
3.8%
성 4
 
3.8%
재 4
 
3.8%
봉 3
 
2.9%
종 3
 
2.9%
기 3
 
2.9%
길 2
 
1.9%
Other values (52) 66
62.9%

소재지
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T12:32:55.436105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.371429
Min length16

Characters and Unicode

Total characters678
Distinct characters100
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

Unique35 ?
Unique (%)100.0%

Sample

1st row충남 금산군 금산읍 방아동길 52
2nd row충남 부여군 규암면 흥수로 846
3rd row충남 금산군 금성면 진산로 87-19
4th row충남 부여군 은산면 충의로 602-12
5th row충남 금산군 금산읍 금산천2길 51
ValueCountFrequency (%)
충남 16
 
9.1%
금산군 13
 
7.4%
경북 6
 
3.4%
풍기읍 6
 
3.4%
영주시 6
 
3.4%
금산읍 4
 
2.3%
금성면 4
 
2.3%
진안읍 3
 
1.7%
진안군 3
 
1.7%
전북 3
 
1.7%
Other values (98) 111
63.4%
2023-12-11T12:32:55.808747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
20.6%
금 26
 
3.8%
군 26
 
3.8%
로 25
 
3.7%
1 23
 
3.4%
산 21
 
3.1%
충 19
 
2.8%
남 19
 
2.8%
면 18
 
2.7%
북 16
 
2.4%
Other values (90) 345
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
60.6%
Space Separator 140
 
20.6%
Decimal Number 120
 
17.7%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 26
 
6.3%
군 26
 
6.3%
로 25
 
6.1%
산 21
 
5.1%
충 19
 
4.6%
남 19
 
4.6%
면 18
 
4.4%
북 16
 
3.9%
읍 16
 
3.9%
길 16
 
3.9%
Other values (78) 209
50.9%
Decimal Number
ValueCountFrequency (%)
1 23
19.2%
8 16
13.3%
2 14
11.7%
3 13
10.8%
6 12
10.0%
5 11
9.2%
4 10
8.3%
7 8
 
6.7%
9 8
 
6.7%
0 5
 
4.2%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
60.6%
Common 267
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 26
 
6.3%
군 26
 
6.3%
로 25
 
6.1%
산 21
 
5.1%
충 19
 
4.6%
남 19
 
4.6%
면 18
 
4.4%
북 16
 
3.9%
읍 16
 
3.9%
길 16
 
3.9%
Other values (78) 209
50.9%
Common
ValueCountFrequency (%)
140
52.4%
1 23
 
8.6%
8 16
 
6.0%
2 14
 
5.2%
3 13
 
4.9%
6 12
 
4.5%
5 11
 
4.1%
4 10
 
3.7%
7 8
 
3.0%
9 8
 
3.0%
Other values (2) 12
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
60.6%
ASCII 267
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
52.4%
1 23
 
8.6%
8 16
 
6.0%
2 14
 
5.2%
3 13
 
4.9%
6 12
 
4.5%
5 11
 
4.1%
4 10
 
3.7%
7 8
 
3.0%
9 8
 
3.0%
Other values (2) 12
 
4.5%
Hangul
ValueCountFrequency (%)
금 26
 
6.3%
군 26
 
6.3%
로 25
 
6.1%
산 21
 
5.1%
충 19
 
4.6%
남 19
 
4.6%
면 18
 
4.4%
북 16
 
3.9%
읍 16
 
3.9%
길 16
 
3.9%
Other values (78) 209
50.9%

최초지정일
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T12:32:56.021398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7428571
Min length1

Characters and Unicode

Total characters341
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)94.3%

Sample

1st row
2nd row1996-07-23
3rd row1999-12-21
4th row2003-12-29
5th row2007-02-13
ValueCountFrequency (%)
2009-10-08 2
 
5.9%
2012-04-23 1
 
2.9%
2015-10-13 1
 
2.9%
2012-07-23 1
 
2.9%
2012-10-23 1
 
2.9%
2014-10-01 1
 
2.9%
2015-05-13 1
 
2.9%
2015-07-21 1
 
2.9%
2015-12-15 1
 
2.9%
2011-11-17 1
 
2.9%
Other values (23) 23
67.6%
2023-12-11T12:32:56.363722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88
25.8%
- 68
19.9%
2 56
16.4%
1 46
13.5%
9 17
 
5.0%
7 16
 
4.7%
3 13
 
3.8%
5 11
 
3.2%
8 10
 
2.9%
4 8
 
2.3%
Other values (2) 8
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 272
79.8%
Dash Punctuation 68
 
19.9%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
32.4%
2 56
20.6%
1 46
16.9%
9 17
 
6.2%
7 16
 
5.9%
3 13
 
4.8%
5 11
 
4.0%
8 10
 
3.7%
4 8
 
2.9%
6 7
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88
25.8%
- 68
19.9%
2 56
16.4%
1 46
13.5%
9 17
 
5.0%
7 16
 
4.7%
3 13
 
3.8%
5 11
 
3.2%
8 10
 
2.9%
4 8
 
2.3%
Other values (2) 8
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88
25.8%
- 68
19.9%
2 56
16.4%
1 46
13.5%
9 17
 
5.0%
7 16
 
4.7%
3 13
 
3.8%
5 11
 
3.2%
8 10
 
2.9%
4 8
 
2.3%
Other values (2) 8
 
2.3%

지정삼종 홍삼
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size167.0 B
True
35 
ValueCountFrequency (%)
True 35
100.0%
2023-12-11T12:32:56.489376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지정삼종 태극삼
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
25 
Y
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd row
3rd row
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
25
71.4%
Y 10
 
28.6%

Length

2023-12-11T12:32:56.617380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:32:56.736574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 10
100.0%

지정삼종 백삼
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
19 
Y
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd row
3rd rowY
4th row
5th row

Common Values

ValueCountFrequency (%)
19
54.3%
Y 16
45.7%

Length

2023-12-11T12:32:56.853320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:32:56.973269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 16
100.0%

지정삼종 흑삼
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
31 
Y
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
31
88.6%
Y 4
 
11.4%

Length

2023-12-11T12:32:57.098427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:32:57.233655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 4
100.0%

Correlations

2023-12-11T12:32:57.308729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명대표자소재지최초지정일지정삼종 태극삼지정삼종 백삼지정삼종 흑삼
업체명1.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
최초지정일1.0001.0001.0001.0000.0001.0001.000
지정삼종 태극삼1.0001.0001.0000.0001.0000.2790.329
지정삼종 백삼1.0001.0001.0001.0000.2791.0000.387
지정삼종 흑삼1.0001.0001.0001.0000.3290.3871.000
2023-12-11T12:32:57.439156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정삼종 태극삼지정삼종 백삼지정삼종 흑삼
지정삼종 태극삼1.0000.1770.211
지정삼종 백삼0.1771.0000.251
지정삼종 흑삼0.2110.2511.000
2023-12-11T12:32:57.560945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정삼종 태극삼지정삼종 백삼지정삼종 흑삼
지정삼종 태극삼1.0000.1770.211
지정삼종 백삼0.1771.0000.251
지정삼종 흑삼0.2110.2511.000

Missing values

2023-12-11T12:32:53.887221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:32:54.023269image/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

업체명대표자소재지최초지정일지정삼종 홍삼지정삼종 태극삼지정삼종 백삼지정삼종 흑삼
0인삼검사소이정만충남 금산군 금산읍 방아동길 52YYYY
1㈜한국인삼공사김재수충남 부여군 규암면 흥수로 8461996-07-23Y
2대금인삼염현숙충남 금산군 금성면 진산로 87-191999-12-21YY
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