Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory42.6 B

Variable types

Text3
Categorical2

Dataset

Description제주특별자치도에 소재하고 있는 곤충 사육업과 관련한 데이터로 상호, 소재지, 사육품종, 신고업종 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15012534/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-16 15:10:46.356188
Analysis finished2023-12-16 15:10:48.302154
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-16T15:10:48.800511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.36
Min length2

Characters and Unicode

Total characters368
Distinct characters126
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

Unique44 ?
Unique (%)88.0%

Sample

1st row농업회사법인휴애리㈜
2nd row제주자생식물원
3rd row제주곤충농장
4th row정의건강곤충농장
5th row제주토속약용굼벵이 농장
ValueCountFrequency (%)
농장 5
 
7.4%
개인 4
 
5.9%
제주벅스 2
 
2.9%
굼벵이 2
 
2.9%
농업회사법인 2
 
2.9%
초롱벵이네 1
 
1.5%
승호농장 1
 
1.5%
농업회사법인휴애리㈜ 1
 
1.5%
제주황금꽃뱅이㈜ 1
 
1.5%
두윤 1
 
1.5%
Other values (48) 48
70.6%
2023-12-16T15:10:50.907054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 28
 
7.6%
18
 
4.9%
주 18
 
4.9%
제 17
 
4.6%
장 16
 
4.3%
인 15
 
4.1%
이 10
 
2.7%
법 9
 
2.4%
충 8
 
2.2%
사 7
 
1.9%
Other values (116) 222
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
90.5%
Space Separator 18
 
4.9%
Other Symbol 5
 
1.4%
Uppercase Letter 5
 
1.4%
Lowercase Letter 3
 
0.8%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 28
 
8.4%
주 18
 
5.4%
제 17
 
5.1%
장 16
 
4.8%
인 15
 
4.5%
이 10
 
3.0%
법 9
 
2.7%
충 8
 
2.4%
사 7
 
2.1%
곤 7
 
2.1%
Other values (106) 198
59.5%
Uppercase Letter
ValueCountFrequency (%)
J 3
60.0%
A 1
 
20.0%
F 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
r 1
33.3%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
91.8%
Common 22
 
6.0%
Latin 8
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 28
 
8.3%
주 18
 
5.3%
제 17
 
5.0%
장 16
 
4.7%
인 15
 
4.4%
이 10
 
3.0%
법 9
 
2.7%
충 8
 
2.4%
사 7
 
2.1%
곤 7
 
2.1%
Other values (107) 203
60.1%
Latin
ValueCountFrequency (%)
J 3
37.5%
A 1
 
12.5%
F 1
 
12.5%
m 1
 
12.5%
r 1
 
12.5%
a 1
 
12.5%
Common
ValueCountFrequency (%)
18
81.8%
( 2
 
9.1%
) 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
90.5%
ASCII 30
 
8.2%
None 5
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 28
 
8.4%
주 18
 
5.4%
제 17
 
5.1%
장 16
 
4.8%
인 15
 
4.5%
이 10
 
3.0%
법 9
 
2.7%
충 8
 
2.4%
사 7
 
2.1%
곤 7
 
2.1%
Other values (106) 198
59.5%
ASCII
ValueCountFrequency (%)
18
60.0%
J 3
 
10.0%
( 2
 
6.7%
) 2
 
6.7%
A 1
 
3.3%
F 1
 
3.3%
m 1
 
3.3%
r 1
 
3.3%
a 1
 
3.3%
None
ValueCountFrequency (%)
㈜ 5
100.0%

소재지
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-16T15:10:52.294250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28.5
Mean length25.02
Min length19

Characters and Unicode

Total characters1251
Distinct characters101
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

Unique48 ?
Unique (%)96.0%

Sample

1st row제주특별자치도 서귀포시 남원읍 신례리 2014
2nd row제주특별자치도 제주시 오등동 1819-10
3rd row제주특별자치도 제주시 삼양1동 1372-1
4th row제주특별자치도 서귀포시 표선면 성읍리 998-2
5th row제주특별자치도 서귀포시 대정읍 인성리 36-3
ValueCountFrequency (%)
제주특별자치도 50
20.7%
제주시 34
 
14.1%
서귀포시 16
 
6.6%
구좌읍 7
 
2.9%
조천읍 6
 
2.5%
애월읍 5
 
2.1%
남원읍 5
 
2.1%
한림읍 5
 
2.1%
대정읍 4
 
1.7%
성산읍 3
 
1.2%
Other values (92) 106
44.0%
2023-12-16T15:10:54.144723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
15.3%
주 87
 
7.0%
제 85
 
6.8%
1 56
 
4.5%
자 51
 
4.1%
도 51
 
4.1%
시 50
 
4.0%
특 50
 
4.0%
별 50
 
4.0%
치 50
 
4.0%
Other values (91) 530
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 813
65.0%
Decimal Number 220
 
17.6%
Space Separator 191
 
15.3%
Dash Punctuation 24
 
1.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 87
 
10.7%
제 85
 
10.5%
자 51
 
6.3%
도 51
 
6.3%
시 50
 
6.2%
특 50
 
6.2%
별 50
 
6.2%
치 50
 
6.2%
읍 37
 
4.6%
리 26
 
3.2%
Other values (76) 276
33.9%
Decimal Number
ValueCountFrequency (%)
1 56
25.5%
2 32
14.5%
3 26
11.8%
5 20
 
9.1%
8 17
 
7.7%
4 16
 
7.3%
0 15
 
6.8%
6 15
 
6.8%
7 13
 
5.9%
9 10
 
4.5%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 813
65.0%
Common 438
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 87
 
10.7%
제 85
 
10.5%
자 51
 
6.3%
도 51
 
6.3%
시 50
 
6.2%
특 50
 
6.2%
별 50
 
6.2%
치 50
 
6.2%
읍 37
 
4.6%
리 26
 
3.2%
Other values (76) 276
33.9%
Common
ValueCountFrequency (%)
191
43.6%
1 56
 
12.8%
2 32
 
7.3%
3 26
 
5.9%
- 24
 
5.5%
5 20
 
4.6%
8 17
 
3.9%
4 16
 
3.7%
0 15
 
3.4%
6 15
 
3.4%
Other values (5) 26
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 813
65.0%
ASCII 437
34.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
43.7%
1 56
 
12.8%
2 32
 
7.3%
3 26
 
5.9%
- 24
 
5.5%
5 20
 
4.6%
8 17
 
3.9%
4 16
 
3.7%
0 15
 
3.4%
6 15
 
3.4%
Other values (4) 25
 
5.7%
Hangul
ValueCountFrequency (%)
주 87
 
10.7%
제 85
 
10.5%
자 51
 
6.3%
도 51
 
6.3%
시 50
 
6.2%
특 50
 
6.2%
별 50
 
6.2%
치 50
 
6.2%
읍 37
 
4.6%
리 26
 
3.2%
Other values (76) 276
33.9%
None
ValueCountFrequency (%)
· 1
100.0%

사육품종
Text

Distinct32
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-16T15:10:55.337500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length22
Mean length13.62
Min length2

Characters and Unicode

Total characters681
Distinct characters99
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)48.0%

Sample

1st row장수풍뎅이·사슴벌레·지네·왕잠자리·굼벵이
2nd row벼메뚜기·풀무치·각시메뚜기·큰줄흰나비·극남노랑나비·배추희나비·노랑나비·호랑나비·제비나비·산호랑나비·청띠제비나비·암끝검은표범나비·네발나비·홍점알랑나비·장수풍뎅이·넓적사슴벌레
3rd row흰점박 꽃무지 풍뎅이(유충)·장수풍뎅이
4th row흰점박 꽃무지 풍뎅이(유충)·장수풍뎅이
5th row흰점박 꽃무지 풍뎅이(유충)
ValueCountFrequency (%)
꽃무지 14
16.1%
흰점박이 9
 
10.3%
흰점박이꽃무지 6
 
6.9%
쌍별귀뚜라미 5
 
5.7%
유충 5
 
5.7%
동애등에 5
 
5.7%
풍뎅이 5
 
5.7%
흰점박 3
 
3.4%
지네 2
 
2.3%
풍뎅이(유충)·장수풍뎅이 2
 
2.3%
Other values (28) 31
35.6%
2023-12-16T15:10:56.934802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 49
 
7.2%
이 47
 
6.9%
37
 
5.4%
지 29
 
4.3%
흰 26
 
3.8%
무 26
 
3.8%
꽃 25
 
3.7%
점 25
 
3.7%
풍 25
 
3.7%
뎅 25
 
3.7%
Other values (89) 367
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
85.8%
Other Punctuation 50
 
7.3%
Space Separator 37
 
5.4%
Decimal Number 4
 
0.6%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 47
 
8.0%
지 29
 
5.0%
흰 26
 
4.5%
무 26
 
4.5%
꽃 25
 
4.3%
점 25
 
4.3%
풍 25
 
4.3%
뎅 25
 
4.3%
박 24
 
4.1%
비 22
 
3.8%
Other values (80) 310
53.1%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
1 1
25.0%
5 1
25.0%
0 1
25.0%
Other Punctuation
ValueCountFrequency (%)
· 49
98.0%
, 1
 
2.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
85.8%
Common 97
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 47
 
8.0%
지 29
 
5.0%
흰 26
 
4.5%
무 26
 
4.5%
꽃 25
 
4.3%
점 25
 
4.3%
풍 25
 
4.3%
뎅 25
 
4.3%
박 24
 
4.1%
비 22
 
3.8%
Other values (80) 310
53.1%
Common
ValueCountFrequency (%)
· 49
50.5%
37
38.1%
) 3
 
3.1%
( 3
 
3.1%
, 1
 
1.0%
3 1
 
1.0%
1 1
 
1.0%
5 1
 
1.0%
0 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
85.8%
None 49
 
7.2%
ASCII 48
 
7.0%

Most frequent character per block

None
ValueCountFrequency (%)
· 49
100.0%
Hangul
ValueCountFrequency (%)
이 47
 
8.0%
지 29
 
5.0%
흰 26
 
4.5%
무 26
 
4.5%
꽃 25
 
4.3%
점 25
 
4.3%
풍 25
 
4.3%
뎅 25
 
4.3%
박 24
 
4.1%
비 22
 
3.8%
Other values (80) 310
53.1%
ASCII
ValueCountFrequency (%)
37
77.1%
) 3
 
6.2%
( 3
 
6.2%
, 1
 
2.1%
3 1
 
2.1%
1 1
 
2.1%
5 1
 
2.1%
0 1
 
2.1%

신고업종
Categorical

Distinct11
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
생산업
15 
생산
10 
생산·유통
9 
생산·유통·가공
4 
생산업·유통업
4 
Other values (6)
8 

Length

Max length11
Median length8.5
Mean length4.82
Min length2

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row생산
2nd row생산·유통
3rd row생산·유통
4th row생산·유통
5th row생산·유통

Common Values

ValueCountFrequency (%)
생산업 15
30.0%
생산 10
20.0%
생산·유통 9
18.0%
생산·유통·가공 4
 
8.0%
생산업·유통업 4
 
8.0%
생산업·유통업·가공업 3
 
6.0%
생산·가공·유통 1
 
2.0%
생산업가공업유통업 1
 
2.0%
생산업가공업 1
 
2.0%
생산업유통업 1
 
2.0%

Length

2023-12-16T15:10:57.680673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
생산업 15
30.0%
생산 10
20.0%
생산·유통 9
18.0%
생산·유통·가공 4
 
8.0%
생산업·유통업 4
 
8.0%
생산업·유통업·가공업 3
 
6.0%
생산·가공·유통 1
 
2.0%
생산업가공업유통업 1
 
2.0%
생산업가공업 1
 
2.0%
생산업유통업 1
 
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-02-20
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-20
2nd row2023-02-20
3rd row2023-02-20
4th row2023-02-20
5th row2023-02-20

Common Values

ValueCountFrequency (%)
2023-02-20 50
100.0%

Length

2023-12-16T15:10:58.400264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:10:58.941849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-20 50
100.0%

Correlations

2023-12-16T15:10:59.222059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호소재지사육품종신고업종
상호1.0000.9870.4490.987
소재지0.9871.0000.9861.000
사육품종0.4490.9861.0000.000
신고업종0.9871.0000.0001.000

Missing values

2023-12-16T15:10:47.671679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:10:48.155903image/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

상호소재지사육품종신고업종데이터기준일자
0농업회사법인휴애리㈜제주특별자치도 서귀포시 남원읍 신례리 2014장수풍뎅이·사슴벌레·지네·왕잠자리·굼벵이생산2023-02-20
1제주자생식물원제주특별자치도 제주시 오등동 1819-10벼메뚜기·풀무치·각시메뚜기·큰줄흰나비·극남노랑나비·배추희나비·노랑나비·호랑나비·제비나비·산호랑나비·청띠제비나비·암끝검은표범나비·네발나비·홍점알랑나비·장수풍뎅이·넓적사슴벌레생산·유통2023-02-20
2제주곤충농장제주특별자치도 제주시 삼양1동 1372-1흰점박 꽃무지 풍뎅이(유충)·장수풍뎅이생산·유통2023-02-20
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