Overview

Dataset statistics

Number of variables6
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory50.2 B

Variable types

Categorical2
Text4

Dataset

Description전북특별자치도 향토산업마을 조성 현황(읍면동,마을,조성연도,생산품 등) 제공우리기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055548/fileData.do

Alerts

마을 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:31:21.182221
Analysis finished2024-03-14 20:31:22.748427
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct14
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size1008.0 B
김제
10 
진안
10 
남원
9 
고창
9 
군산
8 
Other values (9)
64 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김제 10
 
9.1%
진안 10
 
9.1%
남원 9
 
8.2%
고창 9
 
8.2%
군산 8
 
7.3%
익산 8
 
7.3%
임실 8
 
7.3%
순창 8
 
7.3%
정읍 7
 
6.4%
완주 7
 
6.4%
Other values (4) 26
23.6%

Length

2024-03-15T05:31:22.871302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김제 10
 
9.1%
진안 10
 
9.1%
남원 9
 
8.2%
고창 9
 
8.2%
군산 8
 
7.3%
익산 8
 
7.3%
임실 8
 
7.3%
순창 8
 
7.3%
정읍 7
 
6.4%
완주 7
 
6.4%
Other values (4) 26
23.6%

읍면동
Text

Distinct79
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-03-15T05:31:23.926996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0090909
Min length3

Characters and Unicode

Total characters331
Distinct characters96
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

Unique55 ?
Unique (%)50.0%

Sample

1st row완산구
2nd row덕진구
3rd row덕진구
4th row완산구
5th row덕진구
ValueCountFrequency (%)
복흥면 4
 
3.6%
진안읍 4
 
3.6%
안성면 4
 
3.6%
덕진구 3
 
2.7%
신덕면 2
 
1.8%
대산면 2
 
1.8%
삼계면 2
 
1.8%
성수면 2
 
1.8%
봉동읍 2
 
1.8%
적상면 2
 
1.8%
Other values (68) 83
75.5%
2024-03-15T05:31:25.316032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 88
26.6%
산 19
 
5.7%
읍 13
 
3.9%
구 13
 
3.9%
안 10
 
3.0%
성 10
 
3.0%
동 8
 
2.4%
진 8
 
2.4%
덕 8
 
2.4%
계 7
 
2.1%
Other values (86) 147
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
99.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 88
26.7%
산 19
 
5.8%
읍 13
 
3.9%
구 13
 
3.9%
안 10
 
3.0%
성 10
 
3.0%
동 8
 
2.4%
진 8
 
2.4%
덕 8
 
2.4%
계 7
 
2.1%
Other values (85) 146
44.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 88
26.7%
산 19
 
5.8%
읍 13
 
3.9%
구 13
 
3.9%
안 10
 
3.0%
성 10
 
3.0%
동 8
 
2.4%
진 8
 
2.4%
덕 8
 
2.4%
계 7
 
2.1%
Other values (85) 146
44.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 88
26.7%
산 19
 
5.8%
읍 13
 
3.9%
구 13
 
3.9%
안 10
 
3.0%
성 10
 
3.0%
동 8
 
2.4%
진 8
 
2.4%
덕 8
 
2.4%
계 7
 
2.1%
Other values (85) 146
44.2%
ASCII
ValueCountFrequency (%)
1
100.0%

마을
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-03-15T05:31:26.427258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1272727
Min length4

Characters and Unicode

Total characters454
Distinct characters113
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

Unique110 ?
Unique (%)100.0%

Sample

1st row학전마을
2nd row곡천마을
3rd row공덕마을
4th row하봉마을
5th row원동마을
ValueCountFrequency (%)
학전마을 1
 
0.9%
초리마을 1
 
0.9%
중금마을 1
 
0.9%
신전마을 1
 
0.9%
하오마을 1
 
0.9%
신월마을 1
 
0.9%
음신마을 1
 
0.9%
구신마을 1
 
0.9%
주촌마을 1
 
0.9%
원촌마을 1
 
0.9%
Other values (100) 100
90.9%
2024-03-15T05:31:27.843359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 110
24.2%
을 109
24.0%
신 12
 
2.6%
동 10
 
2.2%
하 6
 
1.3%
촌 6
 
1.3%
상 5
 
1.1%
암 5
 
1.1%
산 5
 
1.1%
원 5
 
1.1%
Other values (103) 181
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
99.3%
Space Separator 2
 
0.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 110
24.4%
을 109
24.2%
신 12
 
2.7%
동 10
 
2.2%
하 6
 
1.3%
촌 6
 
1.3%
상 5
 
1.1%
암 5
 
1.1%
산 5
 
1.1%
원 5
 
1.1%
Other values (101) 178
39.5%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
99.3%
Common 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 110
24.4%
을 109
24.2%
신 12
 
2.7%
동 10
 
2.2%
하 6
 
1.3%
촌 6
 
1.3%
상 5
 
1.1%
암 5
 
1.1%
산 5
 
1.1%
원 5
 
1.1%
Other values (101) 178
39.5%
Common
ValueCountFrequency (%)
2
66.7%
3 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
99.3%
ASCII 3
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 110
24.4%
을 109
24.2%
신 12
 
2.7%
동 10
 
2.2%
하 6
 
1.3%
촌 6
 
1.3%
상 5
 
1.1%
암 5
 
1.1%
산 5
 
1.1%
원 5
 
1.1%
Other values (101) 178
39.5%
ASCII
ValueCountFrequency (%)
2
66.7%
3 1
33.3%

조성연도
Categorical

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2011
37 
2010
27 
2012
23 
2013
12 
2014
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2010
2nd row2010
3rd row2011
4th row2011
5th row2012

Common Values

ValueCountFrequency (%)
2011 37
33.6%
2010 27
24.5%
2012 23
20.9%
2013 12
 
10.9%
2014 11
 
10.0%

Length

2024-03-15T05:31:28.218465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:31:28.669290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2011 37
33.6%
2010 27
24.5%
2012 23
20.9%
2013 12
 
10.9%
2014 11
 
10.0%

사업내용
Text

Distinct104
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-03-15T05:31:29.868781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.772727
Min length6

Characters and Unicode

Total characters1185
Distinct characters176
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

Unique101 ?
Unique (%)91.8%

Sample

1st row한과 가공시설, 주말농장
2nd row찰보리 가공, 체험교육관
3rd row농산물 가공판매
4th row장류 가공판매
5th row과실발효음료 및 판매장
ValueCountFrequency (%)
가공시설 44
 
16.6%
및 14
 
5.3%
구축 13
 
4.9%
가공 11
 
4.2%
장류 9
 
3.4%
농산물 7
 
2.6%
한과 6
 
2.3%
농가레스토랑 4
 
1.5%
가공판매 3
 
1.1%
즙 3
 
1.1%
Other values (135) 151
57.0%
2024-03-15T05:31:31.430649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
13.6%
가 106
 
8.9%
공 98
 
8.3%
시 69
 
5.8%
설 69
 
5.8%
, 33
 
2.8%
장 28
 
2.4%
농 20
 
1.7%
류 20
 
1.7%
물 18
 
1.5%
Other values (166) 563
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 964
81.4%
Space Separator 161
 
13.6%
Other Punctuation 34
 
2.9%
Close Punctuation 13
 
1.1%
Open Punctuation 13
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 106
 
11.0%
공 98
 
10.2%
시 69
 
7.2%
설 69
 
7.2%
장 28
 
2.9%
농 20
 
2.1%
류 20
 
2.1%
물 18
 
1.9%
및 16
 
1.7%
과 15
 
1.6%
Other values (161) 505
52.4%
Other Punctuation
ValueCountFrequency (%)
, 33
97.1%
· 1
 
2.9%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 964
81.4%
Common 221
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 106
 
11.0%
공 98
 
10.2%
시 69
 
7.2%
설 69
 
7.2%
장 28
 
2.9%
농 20
 
2.1%
류 20
 
2.1%
물 18
 
1.9%
및 16
 
1.7%
과 15
 
1.6%
Other values (161) 505
52.4%
Common
ValueCountFrequency (%)
161
72.9%
, 33
 
14.9%
) 13
 
5.9%
( 13
 
5.9%
· 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 964
81.4%
ASCII 220
 
18.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
73.2%
, 33
 
15.0%
) 13
 
5.9%
( 13
 
5.9%
Hangul
ValueCountFrequency (%)
가 106
 
11.0%
공 98
 
10.2%
시 69
 
7.2%
설 69
 
7.2%
장 28
 
2.9%
농 20
 
2.1%
류 20
 
2.1%
물 18
 
1.9%
및 16
 
1.7%
과 15
 
1.6%
Other values (161) 505
52.4%
None
ValueCountFrequency (%)
· 1
100.0%

생산품
Text

Distinct95
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-03-15T05:31:32.662548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.4272727
Min length1

Characters and Unicode

Total characters707
Distinct characters152
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

Unique84 ?
Unique (%)76.4%

Sample

1st row한과, 두부
2nd row밀,보리, 달맞이 기름
3rd row된장
4th row된장
5th row배즙
ValueCountFrequency (%)
된장 19
 
9.7%
두부 7
 
3.6%
고추장 7
 
3.6%
들기름 6
 
3.1%
한과 6
 
3.1%
청국장 6
 
3.1%
절임배추 5
 
2.6%
등 4
 
2.1%
오디즙 4
 
2.1%
떡 4
 
2.1%
Other values (96) 127
65.1%
2024-03-15T05:31:34.240953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
12.2%
, 68
 
9.6%
장 37
 
5.2%
즙 27
 
3.8%
된 20
 
2.8%
고 20
 
2.8%
기 16
 
2.3%
추 16
 
2.3%
과 13
 
1.8%
름 12
 
1.7%
Other values (142) 392
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 549
77.7%
Space Separator 86
 
12.2%
Other Punctuation 68
 
9.6%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 37
 
6.7%
즙 27
 
4.9%
된 20
 
3.6%
고 20
 
3.6%
기 16
 
2.9%
추 16
 
2.9%
과 13
 
2.4%
름 12
 
2.2%
청 11
 
2.0%
배 9
 
1.6%
Other values (138) 368
67.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 549
77.7%
Common 158
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 37
 
6.7%
즙 27
 
4.9%
된 20
 
3.6%
고 20
 
3.6%
기 16
 
2.9%
추 16
 
2.9%
과 13
 
2.4%
름 12
 
2.2%
청 11
 
2.0%
배 9
 
1.6%
Other values (138) 368
67.0%
Common
ValueCountFrequency (%)
86
54.4%
, 68
43.0%
( 2
 
1.3%
) 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 549
77.7%
ASCII 158
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
54.4%
, 68
43.0%
( 2
 
1.3%
) 2
 
1.3%
Hangul
ValueCountFrequency (%)
장 37
 
6.7%
즙 27
 
4.9%
된 20
 
3.6%
고 20
 
3.6%
기 16
 
2.9%
추 16
 
2.9%
과 13
 
2.4%
름 12
 
2.2%
청 11
 
2.0%
배 9
 
1.6%
Other values (138) 368
67.0%

Correlations

2024-03-15T05:31:34.531033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분읍면동조성연도생산품
구분1.0000.9980.0000.559
읍면동0.9981.0000.0000.982
조성연도0.0000.0001.0000.665
생산품0.5590.9820.6651.000
2024-03-15T05:31:34.833683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분조성연도
구분1.0000.000
조성연도0.0001.000
2024-03-15T05:31:35.079057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분조성연도
구분1.0000.000
조성연도0.0001.000

Missing values

2024-03-15T05:31:22.248214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:31:22.603030image/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

구분읍면동마을조성연도사업내용생산품
0전주완산구학전마을2010한과 가공시설, 주말농장한과, 두부
1전주덕진구곡천마을2010찰보리 가공, 체험교육관밀,보리, 달맞이 기름
2전주덕진구공덕마을2011농산물 가공판매된장
3전주완산구하봉마을2011장류 가공판매된장
4전주덕진구원동마을2012과실발효음료 및 판매장배즙
5군산회현면풍신마을2010장류(된장, 고추장) 가공시설된장
6군산개정면대방마을2010현미식초 가공시설현미식초
7군산옥도면장자도마을2011수산물 가공복합시설김, 멸치 등
8군산회현면용화마을2011농산물 복합가공시설보리순
9군산옥구읍오산마을2012김치가공시설, 절임배추가공배추김치
구분읍면동마을조성연도사업내용생산품
100고창공음면구수마을2012향토음식가공체험(녹두)오디즙, 녹두가루
101고창대산면차동마을2013장류가공시설 구축된장, 고추장,고춧가루
102고창해리면월봉마을2014에너지바(한과) 가공시설에너지바(한과)
103부안하서면수조마을2010고구마 분말 제품화고구마 가루
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