Overview

Dataset statistics

Number of variables4
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory804.0 B
Average record size in memory38.3 B

Variable types

Text3
Categorical1

Dataset

Description제주특별자치도에 위치한 전통주 등 주류 제조업체와 관련한 데이터로 업체명, 소재지, 주종 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/3083352/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:54:34.641596
Analysis finished2023-12-12 05:54:35.061156
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:54:35.230307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length12.333333
Min length3

Characters and Unicode

Total characters259
Distinct characters86
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

Unique21 ?
Unique (%)100.0%

Sample

1st row제주곶밭
2nd row이시보
3rd row농업회사법인 (주)제주양조장
4th row농업회사법인 같이의가치 주식회사
5th row농업회사법인 주식회사 별꽃
ValueCountFrequency (%)
농업회사법인 10
22.7%
주식회사 6
 
13.6%
영농조합법인 3
 
6.8%
제주곶밭 1
 
2.3%
제주샘 1
 
2.3%
익는집 1
 
2.3%
제주고소리술 1
 
2.3%
무형문화재11호 1
 
2.3%
제주특별자치도 1
 
2.3%
제주와이너리 1
 
2.3%
Other values (18) 18
40.9%
2023-12-12T14:54:35.672829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
8.9%
22
 
8.5%
17
 
6.6%
17
 
6.6%
13
 
5.0%
13
 
5.0%
13
 
5.0%
12
 
4.6%
10
 
3.9%
7
 
2.7%
Other values (76) 112
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
88.8%
Space Separator 23
 
8.9%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
9.6%
17
 
7.4%
17
 
7.4%
13
 
5.7%
13
 
5.7%
13
 
5.7%
12
 
5.2%
10
 
4.3%
7
 
3.0%
5
 
2.2%
Other values (72) 101
43.9%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
88.8%
Common 29
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
9.6%
17
 
7.4%
17
 
7.4%
13
 
5.7%
13
 
5.7%
13
 
5.7%
12
 
5.2%
10
 
4.3%
7
 
3.0%
5
 
2.2%
Other values (72) 101
43.9%
Common
ValueCountFrequency (%)
23
79.3%
( 2
 
6.9%
) 2
 
6.9%
1 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
88.8%
ASCII 29
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
79.3%
( 2
 
6.9%
) 2
 
6.9%
1 2
 
6.9%
Hangul
ValueCountFrequency (%)
22
 
9.6%
17
 
7.4%
17
 
7.4%
13
 
5.7%
13
 
5.7%
13
 
5.7%
12
 
5.2%
10
 
4.3%
7
 
3.0%
5
 
2.2%
Other values (72) 101
43.9%

주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:54:35.929830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length25.619048
Min length22

Characters and Unicode

Total characters538
Distinct characters76
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

Unique19 ?
Unique (%)90.5%

Sample

1st row제주특별자치도 제주시 제주대학로 102. 2층 208호
2nd row제주특별자치도 서귀포시 대정읍 도원남로158번길 36
3rd row제주특별자치도 제주시 조천읍 남조로 2064
4th row제주특별자치도 서귀포시 표선면 번영로2300-29
5th row제주특별자치도 제주시 한림읍 광산로 491-1. 2동
ValueCountFrequency (%)
제주특별자치도 21
19.8%
제주시 12
 
11.3%
서귀포시 9
 
8.5%
표선면 4
 
3.8%
애월읍 3
 
2.8%
남원읍 3
 
2.8%
한경면 3
 
2.8%
중산간동로 2
 
1.9%
4726 2
 
1.9%
한림읍 2
 
1.9%
Other values (45) 45
42.5%
2023-12-12T14:54:36.381860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
15.8%
34
 
6.3%
34
 
6.3%
24
 
4.5%
2 22
 
4.1%
21
 
3.9%
21
 
3.9%
21
 
3.9%
21
 
3.9%
21
 
3.9%
Other values (66) 234
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
67.8%
Space Separator 85
 
15.8%
Decimal Number 80
 
14.9%
Dash Punctuation 6
 
1.1%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
9.3%
34
 
9.3%
24
 
6.6%
21
 
5.8%
21
 
5.8%
21
 
5.8%
21
 
5.8%
21
 
5.8%
16
 
4.4%
11
 
3.0%
Other values (53) 141
38.6%
Decimal Number
ValueCountFrequency (%)
2 22
27.5%
1 13
16.2%
3 9
11.2%
4 8
 
10.0%
0 7
 
8.8%
7 5
 
6.2%
6 5
 
6.2%
5 4
 
5.0%
9 4
 
5.0%
8 3
 
3.8%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
67.8%
Common 173
32.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
9.3%
34
 
9.3%
24
 
6.6%
21
 
5.8%
21
 
5.8%
21
 
5.8%
21
 
5.8%
21
 
5.8%
16
 
4.4%
11
 
3.0%
Other values (53) 141
38.6%
Common
ValueCountFrequency (%)
85
49.1%
2 22
 
12.7%
1 13
 
7.5%
3 9
 
5.2%
4 8
 
4.6%
0 7
 
4.0%
- 6
 
3.5%
7 5
 
2.9%
6 5
 
2.9%
5 4
 
2.3%
Other values (3) 9
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
67.8%
ASCII 173
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
49.1%
2 22
 
12.7%
1 13
 
7.5%
3 9
 
5.2%
4 8
 
4.6%
0 7
 
4.0%
- 6
 
3.5%
7 5
 
2.9%
6 5
 
2.9%
5 4
 
2.3%
Other values (3) 9
 
5.2%
Hangul
ValueCountFrequency (%)
34
 
9.3%
34
 
9.3%
24
 
6.6%
21
 
5.8%
21
 
5.8%
21
 
5.8%
21
 
5.8%
21
 
5.8%
16
 
4.4%
11
 
3.0%
Other values (53) 141
38.6%

주종
Text

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:54:36.630493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length6.7619048
Min length2

Characters and Unicode

Total characters142
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row탁주·약주
2nd row탁주
3rd row과실주
4th row증류식소주
5th row증류식소주/일반증류주/약주·탁주
ValueCountFrequency (%)
기타주류 4
19.0%
증류식소주/일반증류주/약주·탁주 3
14.3%
탁주·약주 2
9.5%
탁주 2
9.5%
과실주 2
9.5%
증류식소주 2
9.5%
일반증류주·과실주 2
9.5%
탁주·기타주류 1
 
4.8%
일반증류주 1
 
4.8%
기타주류·리큐르 1
 
4.8%
2023-12-12T14:54:37.062429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
25.4%
18
12.7%
11
 
7.7%
· 10
 
7.0%
9
 
6.3%
7
 
4.9%
7
 
4.9%
6
 
4.2%
6
 
4.2%
/ 6
 
4.2%
Other values (8) 26
18.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
88.7%
Other Punctuation 16
 
11.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
28.6%
18
14.3%
11
 
8.7%
9
 
7.1%
7
 
5.6%
7
 
5.6%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
Other values (6) 16
12.7%
Other Punctuation
ValueCountFrequency (%)
· 10
62.5%
/ 6
37.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
88.7%
Common 16
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
28.6%
18
14.3%
11
 
8.7%
9
 
7.1%
7
 
5.6%
7
 
5.6%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
Other values (6) 16
12.7%
Common
ValueCountFrequency (%)
· 10
62.5%
/ 6
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
88.7%
None 10
 
7.0%
ASCII 6
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
28.6%
18
14.3%
11
 
8.7%
9
 
7.1%
7
 
5.6%
7
 
5.6%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
Other values (6) 16
12.7%
None
ValueCountFrequency (%)
· 10
100.0%
ASCII
ValueCountFrequency (%)
/ 6
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2022-02-28
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-02-28
2nd row2022-02-28
3rd row2022-02-28
4th row2022-02-28
5th row2022-02-28

Common Values

ValueCountFrequency (%)
2022-02-28 21
100.0%

Length

2023-12-12T14:54:37.206202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:54:37.323234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-02-28 21
100.0%

Correlations

2023-12-12T14:54:37.400129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명주소주종
업체명1.0001.0001.000
주소1.0001.0000.929
주종1.0000.9291.000

Missing values

2023-12-12T14:54:34.907109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:54:35.021788image/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

업체명주소주종데이터기준일자
0제주곶밭제주특별자치도 제주시 제주대학로 102. 2층 208호탁주·약주2022-02-28
1이시보제주특별자치도 서귀포시 대정읍 도원남로158번길 36탁주2022-02-28
2농업회사법인 (주)제주양조장제주특별자치도 제주시 조천읍 남조로 2064과실주2022-02-28
3농업회사법인 같이의가치 주식회사제주특별자치도 서귀포시 표선면 번영로2300-29증류식소주2022-02-28
4농업회사법인 주식회사 별꽃제주특별자치도 제주시 한림읍 광산로 491-1. 2동증류식소주/일반증류주/약주·탁주2022-02-28
5농업회사법인 술도가 제주바당 주식회사제주특별자치도 제주시 구좌읍 종달로5길 27증류식소주/일반증류주/약주·탁주2022-02-28
6영농조합법인 허브힐제주특별자치도 서귀포시 남원읍 신흥앞동산로40번길 22-39기타주류2022-02-28
7영농조합법인 우도땅콩막걸리낙화곡주제주특별자치도 제주시 우도면 우도비양길 10탁주·기타주류2022-02-28
8암퀘스트 농업회사법인 주식회사제주특별자치도 서귀포시 남원읍 서의로 234일반증류주·과실주2022-02-28
9제주미더리제주특별자치도 제주시 애월읍 용하길 42과실주2022-02-28
업체명주소주종데이터기준일자
11제주커피수목원제주특별자치도 서귀포시 안덕면 향교로 151기타주류2022-02-28
12제주샘 영농조합법인제주특별자치도 제주시 애월읍 애원로 283증류식소주/일반증류주/약주·탁주2022-02-28
13농업회사법인 주식회사 용선제주특별자치도 제주시 한경면 용수길 119-11탁주2022-02-28
14제주술익는집제주특별자치도 서귀포시 표선면 중산간동로 4726탁주·약주2022-02-28
15농업회사법인 헬스와이너리(유)제주특별자치도 제주시 한림읍 월령2길 2일반증류주2022-02-28
16농업회사법인 주식회사 토향제주특별자치도 제주시 한경면 연명로 372기타주류·리큐르2022-02-28
17농업회사법인 주식회사시트러스제주특별자치도 서귀포시 남원읍 신례천로 46일반증류주·과실주2022-02-28
18농업회사법인 제주와이너리제주특별자치도 제주시 애월읍 용흥7길 23기타주류2022-02-28
19제주특별자치도 무형문화재11호 제주고소리술 익는집제주특별자치도 서귀포시 표선면 중산간동로 4726증류식소주2022-02-28
20제주민속좁쌀주제주특별자치도 서귀포시 표선면 서성일로 15-3기타주류·탁주2022-02-28