Overview

Dataset statistics

Number of variables7
Number of observations422
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory57.3 B

Variable types

Categorical4
Text3

Dataset

Description산지유통종합평가를 통해 산지유통 조직을 구분 및 육성하고, 11년부터 통합마케팅 조직(지역연합, 품목광역) 및 참여조직 체계로 계열화 하였음*통합마케팅조직(시도명, 시군구명, 법인구분, 법인형태, 법인명) 및 참여조직(시도명, 시군명, 참여조직구분, 참여조직명)
Author농림축산식품부
URLhttps://www.data.go.kr/data/15075629/fileData.do

Alerts

평가년도 has constant value ""Constant
법인구분 is highly overall correlated with 참여조직법인구분High correlation
참여조직법인구분 is highly overall correlated with 법인구분High correlation
법인구분 is highly imbalanced (52.5%)Imbalance

Reproduction

Analysis started2023-12-12 17:50:11.790909
Analysis finished2023-12-12 17:50:12.771333
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

평가년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2022
422 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 422
100.0%

Length

2023-12-13T02:50:12.851568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:50:13.001810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 422
100.0%

시도명
Categorical

Distinct10
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
경상북도
90 
전라남도
82 
경상남도
55 
충청남도
53 
전라북도
52 
Other values (5)
90 

Length

Max length7
Median length4
Mean length4.0734597
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 90
21.3%
전라남도 82
19.4%
경상남도 55
13.0%
충청남도 53
12.6%
전라북도 52
12.3%
강원도 28
 
6.6%
충청북도 23
 
5.5%
제주특별자치도 21
 
5.0%
경기도 11
 
2.6%
광주광역시 7
 
1.7%

Length

2023-12-13T02:50:13.199317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:50:13.392373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 90
21.3%
전라남도 82
19.4%
경상남도 55
13.0%
충청남도 53
12.6%
전라북도 52
12.3%
강원도 28
 
6.6%
충청북도 23
 
5.5%
제주특별자치도 21
 
5.0%
경기도 11
 
2.6%
광주광역시 7
 
1.7%

시군명
Text

Distinct101
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-13T02:50:13.857411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.021327
Min length2

Characters and Unicode

Total characters1275
Distinct characters87
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

Unique17 ?
Unique (%)4.0%

Sample

1st row강릉시
2nd row평창군
3rd row고성군
4th row인제군
5th row철원군
ValueCountFrequency (%)
함평군 18
 
4.3%
무안군 15
 
3.6%
김천시 14
 
3.3%
상주시 13
 
3.1%
서귀포시 12
 
2.8%
논산시 12
 
2.8%
김제시 10
 
2.4%
성주군 9
 
2.1%
나주시 9
 
2.1%
제주시 9
 
2.1%
Other values (91) 301
71.3%
2023-12-13T02:50:14.496516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 220
17.3%
시 198
 
15.5%
주 79
 
6.2%
안 52
 
4.1%
천 51
 
4.0%
산 49
 
3.8%
성 34
 
2.7%
김 27
 
2.1%
함 26
 
2.0%
창 26
 
2.0%
Other values (77) 513
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1275
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 220
17.3%
시 198
 
15.5%
주 79
 
6.2%
안 52
 
4.1%
천 51
 
4.0%
산 49
 
3.8%
성 34
 
2.7%
김 27
 
2.1%
함 26
 
2.0%
창 26
 
2.0%
Other values (77) 513
40.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1275
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 220
17.3%
시 198
 
15.5%
주 79
 
6.2%
안 52
 
4.1%
천 51
 
4.0%
산 49
 
3.8%
성 34
 
2.7%
김 27
 
2.1%
함 26
 
2.0%
창 26
 
2.0%
Other values (77) 513
40.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1275
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 220
17.3%
시 198
 
15.5%
주 79
 
6.2%
안 52
 
4.1%
천 51
 
4.0%
산 49
 
3.8%
성 34
 
2.7%
김 27
 
2.1%
함 26
 
2.0%
창 26
 
2.0%
Other values (77) 513
40.2%

법인구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
농협조직
379 
일반법인
43 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농협조직 379
89.8%
일반법인 43
 
10.2%

Length

2023-12-13T02:50:14.673273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:50:14.809149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농협조직 379
89.8%
일반법인 43
 
10.2%

법인명
Text

Distinct96
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-13T02:50:15.104904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length12.104265
Min length7

Characters and Unicode

Total characters5108
Distinct characters137
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

Unique15 ?
Unique (%)3.6%

Sample

1st row강원감자농협조합공동사업법인
2nd row강원감자농협조합공동사업법인
3rd row강원연합사업단
4th row강원연합사업단
5th row강원연합사업단
ValueCountFrequency (%)
청일유통영농조합법인 24
 
5.5%
강원연합사업단 23
 
5.3%
제주지역조합공동사업법인 18
 
4.1%
상주시조합공동사업법인 13
 
3.0%
논산시농협조합공동사업법인 12
 
2.8%
김천시농협조합공동사업법인 10
 
2.3%
성주조합공동사업법인 9
 
2.1%
나주시농업협동조합공동사업법인 9
 
2.1%
목포신안군농협조합공동사업법인 8
 
1.8%
진주시농협조합공동사업법인 8
 
1.8%
Other values (90) 302
69.3%
2023-12-13T02:50:15.653785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 406
 
7.9%
합 402
 
7.9%
업 393
 
7.7%
인 269
 
5.3%
법 268
 
5.2%
조 261
 
5.1%
동 256
 
5.0%
농 234
 
4.6%
공 228
 
4.5%
주 207
 
4.1%
Other values (127) 2184
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5003
97.9%
Other Symbol 51
 
1.0%
Close Punctuation 20
 
0.4%
Open Punctuation 20
 
0.4%
Space Separator 14
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 406
 
8.1%
합 402
 
8.0%
업 393
 
7.9%
인 269
 
5.4%
법 268
 
5.4%
조 261
 
5.2%
동 256
 
5.1%
농 234
 
4.7%
공 228
 
4.6%
주 207
 
4.1%
Other values (123) 2079
41.6%
Other Symbol
ValueCountFrequency (%)
㈜ 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5054
98.9%
Common 54
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 406
 
8.0%
합 402
 
8.0%
업 393
 
7.8%
인 269
 
5.3%
법 268
 
5.3%
조 261
 
5.2%
동 256
 
5.1%
농 234
 
4.6%
공 228
 
4.5%
주 207
 
4.1%
Other values (124) 2130
42.1%
Common
ValueCountFrequency (%)
) 20
37.0%
( 20
37.0%
14
25.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5003
97.9%
ASCII 54
 
1.1%
None 51
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 406
 
8.1%
합 402
 
8.0%
업 393
 
7.9%
인 269
 
5.4%
법 268
 
5.4%
조 261
 
5.2%
동 256
 
5.1%
농 234
 
4.7%
공 228
 
4.6%
주 207
 
4.1%
Other values (123) 2079
41.6%
None
ValueCountFrequency (%)
㈜ 51
100.0%
ASCII
ValueCountFrequency (%)
) 20
37.0%
( 20
37.0%
14
25.9%

참여조직법인구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
농협조직
358 
일반법인
64 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농협조직 358
84.8%
일반법인 64
 
15.2%

Length

2023-12-13T02:50:15.861064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:50:16.000835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농협조직 358
84.8%
일반법인 64
 
15.2%

참여조직명
Text

Distinct412
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-13T02:50:16.304611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length4
Mean length6.1848341
Min length4

Characters and Unicode

Total characters2610
Distinct characters248
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

Unique403 ?
Unique (%)95.5%

Sample

1st row강릉농협
2nd row봉평농협
3rd row금강농협
4th row기린농협
5th row김화농협
ValueCountFrequency (%)
영농조합법인 4
 
0.9%
대산농협 3
 
0.7%
대구경북능금농협 2
 
0.5%
무안농협 2
 
0.5%
농업회사법인 2
 
0.5%
한림농협 2
 
0.5%
주식회사 2
 
0.5%
화산농협 2
 
0.5%
신북농협 2
 
0.5%
한우리영농조합법인 2
 
0.5%
Other values (406) 408
94.7%
2023-12-13T02:50:16.823849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 435
 
16.7%
협 357
 
13.7%
합 107
 
4.1%
조 103
 
3.9%
동 84
 
3.2%
산 71
 
2.7%
업 67
 
2.6%
인 66
 
2.5%
법 62
 
2.4%
영 62
 
2.4%
Other values (238) 1196
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2594
99.4%
Space Separator 9
 
0.3%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 435
 
16.8%
협 357
 
13.8%
합 107
 
4.1%
조 103
 
4.0%
동 84
 
3.2%
산 71
 
2.7%
업 67
 
2.6%
인 66
 
2.5%
법 62
 
2.4%
영 62
 
2.4%
Other values (234) 1180
45.5%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2594
99.4%
Common 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 435
 
16.8%
협 357
 
13.8%
합 107
 
4.1%
조 103
 
4.0%
동 84
 
3.2%
산 71
 
2.7%
업 67
 
2.6%
인 66
 
2.5%
법 62
 
2.4%
영 62
 
2.4%
Other values (234) 1180
45.5%
Common
ValueCountFrequency (%)
9
56.2%
) 3
 
18.8%
( 3
 
18.8%
6 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2594
99.4%
ASCII 16
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 435
 
16.8%
협 357
 
13.8%
합 107
 
4.1%
조 103
 
4.0%
동 84
 
3.2%
산 71
 
2.7%
업 67
 
2.6%
인 66
 
2.5%
법 62
 
2.4%
영 62
 
2.4%
Other values (234) 1180
45.5%
ASCII
ValueCountFrequency (%)
9
56.2%
) 3
 
18.8%
( 3
 
18.8%
6 1
 
6.2%

Correlations

2023-12-13T02:50:16.966444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명법인구분법인명참여조직법인구분
시도명1.0000.4390.9970.468
법인구분0.4391.0001.0000.919
법인명0.9971.0001.0000.956
참여조직법인구분0.4680.9190.9561.000
2023-12-13T02:50:17.093437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명법인구분참여조직법인구분
시도명1.0000.3340.356
법인구분0.3341.0000.741
참여조직법인구분0.3560.7411.000
2023-12-13T02:50:17.211199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명법인구분참여조직법인구분
시도명1.0000.3340.356
법인구분0.3341.0000.741
참여조직법인구분0.3560.7411.000

Missing values

2023-12-13T02:50:12.581317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:50:12.716973image/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

평가년도시도명시군명법인구분법인명참여조직법인구분참여조직명
02022강원도강릉시농협조직강원감자농협조합공동사업법인농협조직강릉농협
12022강원도평창군농협조직강원감자농협조합공동사업법인농협조직봉평농협
22022강원도고성군농협조직강원연합사업단농협조직금강농협
32022강원도인제군농협조직강원연합사업단농협조직기린농협
42022강원도철원군농협조직강원연합사업단농협조직김화농협
52022강원도홍천군농협조직강원연합사업단농협조직내면농협
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