Overview

Dataset statistics

Number of variables6
Number of observations97
Missing cells24
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory49.4 B

Variable types

Categorical3
Text3

Dataset

Description전라남도 내 농산물산지유통센터 현황입니다(시도명, 시군명, 조직명, 사업장 주소, , 주 품목, 부 품목1, 부 품목2 등)
Author전라남도
URLhttps://www.data.go.kr/data/15075930/fileData.do

Alerts

주 품목 is highly overall correlated with 부품목 1High correlation
부품목 1 is highly overall correlated with 주 품목High correlation
부품목 2 has 24 (24.7%) missing valuesMissing
조직명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:11:27.688447
Analysis finished2023-12-12 09:11:28.775086
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct20
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size908.0 B
해남군
17 
나주시
13 
무안군
11 
함평군
10 
영암군
7 
Other values (15)
39 

Length

Max length4
Median length3
Mean length3.0515464
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여수시
2nd row여수시
3rd row순천시
4th row순천시
5th row나주시

Common Values

ValueCountFrequency (%)
해남군 17
17.5%
나주시 13
13.4%
무안군 11
11.3%
함평군 10
10.3%
영암군 7
 
7.2%
목포신안 5
 
5.2%
장성군 4
 
4.1%
고흥군 3
 
3.1%
곡성군 3
 
3.1%
장흥군 3
 
3.1%
Other values (10) 21
21.6%

Length

2023-12-12T18:11:28.848026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해남군 17
17.5%
나주시 13
13.4%
무안군 11
11.3%
함평군 10
10.3%
영암군 7
 
7.2%
목포신안 5
 
5.2%
장성군 4
 
4.1%
장흥군 3
 
3.1%
보성군 3
 
3.1%
곡성군 3
 
3.1%
Other values (10) 21
21.6%

조직명
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T18:11:29.106616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.5979381
Min length4

Characters and Unicode

Total characters737
Distinct characters154
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

Unique97 ?
Unique (%)100.0%

Sample

1st row여수농협
2nd row여수원예농협
3rd row순천순천
4th row순천연합조합공동사업법인
5th row금천농협
ValueCountFrequency (%)
농업회사법인 2
 
1.9%
농산물유통센터 2
 
1.9%
광양원예농협 2
 
1.9%
전남서남부채소농협 1
 
0.9%
청계농협유통센터 1
 
0.9%
운남농협 1
 
0.9%
몽탄농협 1
 
0.9%
호남영농조합법인 1
 
0.9%
싱싱유통영농조합법인 1
 
0.9%
풀빛영농조합법인 1
 
0.9%
Other values (93) 93
87.7%
2023-12-12T18:11:29.600004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 99
 
13.4%
협 53
 
7.2%
인 36
 
4.9%
법 36
 
4.9%
영 34
 
4.6%
합 33
 
4.5%
조 31
 
4.2%
산 19
 
2.6%
유 14
 
1.9%
사 14
 
1.9%
Other values (144) 368
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
97.6%
Space Separator 9
 
1.2%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 99
 
13.8%
협 53
 
7.4%
인 36
 
5.0%
법 36
 
5.0%
영 34
 
4.7%
합 33
 
4.6%
조 31
 
4.3%
산 19
 
2.6%
유 14
 
1.9%
사 14
 
1.9%
Other values (140) 350
48.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 720
97.7%
Common 17
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 99
 
13.8%
협 53
 
7.4%
인 36
 
5.0%
법 36
 
5.0%
영 34
 
4.7%
합 33
 
4.6%
조 31
 
4.3%
산 19
 
2.6%
유 14
 
1.9%
사 14
 
1.9%
Other values (141) 351
48.8%
Common
ValueCountFrequency (%)
9
52.9%
) 4
23.5%
( 4
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 719
97.6%
ASCII 17
 
2.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 99
 
13.8%
협 53
 
7.4%
인 36
 
5.0%
법 36
 
5.0%
영 34
 
4.7%
합 33
 
4.6%
조 31
 
4.3%
산 19
 
2.6%
유 14
 
1.9%
사 14
 
1.9%
Other values (140) 350
48.7%
ASCII
ValueCountFrequency (%)
9
52.9%
) 4
23.5%
( 4
23.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사업장 주소
Text

Distinct96
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T18:11:30.049864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.824742
Min length10

Characters and Unicode

Total characters1535
Distinct characters162
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

Unique95 ?
Unique (%)97.9%

Sample

1st row여수시 돌산읍 강남4길 55
2nd row여수시 반월길 78
3rd row순천시 백연길 111
4th row순천시 승주읍 중대길 15
5th row나주시 금천면 금영로 975
ValueCountFrequency (%)
해남군 17
 
4.5%
나주시 13
 
3.4%
무안군 11
 
2.9%
함평군 10
 
2.6%
영암군 7
 
1.8%
황산면 5
 
1.3%
신안군 5
 
1.3%
장성군 4
 
1.1%
곡성군 3
 
0.8%
엄다면 3
 
0.8%
Other values (255) 302
79.5%
2023-12-12T18:11:30.664260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
21.1%
군 81
 
5.3%
면 75
 
4.9%
로 64
 
4.2%
1 50
 
3.3%
길 35
 
2.3%
3 32
 
2.1%
산 30
 
2.0%
5 28
 
1.8%
2 28
 
1.8%
Other values (152) 788
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 916
59.7%
Space Separator 324
 
21.1%
Decimal Number 274
 
17.9%
Dash Punctuation 21
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 81
 
8.8%
면 75
 
8.2%
로 64
 
7.0%
길 35
 
3.8%
산 30
 
3.3%
남 27
 
2.9%
해 25
 
2.7%
시 24
 
2.6%
안 22
 
2.4%
읍 18
 
2.0%
Other values (140) 515
56.2%
Decimal Number
ValueCountFrequency (%)
1 50
18.2%
3 32
11.7%
5 28
10.2%
2 28
10.2%
6 26
9.5%
4 26
9.5%
7 25
9.1%
8 23
8.4%
9 19
 
6.9%
0 17
 
6.2%
Space Separator
ValueCountFrequency (%)
324
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 916
59.7%
Common 619
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 81
 
8.8%
면 75
 
8.2%
로 64
 
7.0%
길 35
 
3.8%
산 30
 
3.3%
남 27
 
2.9%
해 25
 
2.7%
시 24
 
2.6%
안 22
 
2.4%
읍 18
 
2.0%
Other values (140) 515
56.2%
Common
ValueCountFrequency (%)
324
52.3%
1 50
 
8.1%
3 32
 
5.2%
5 28
 
4.5%
2 28
 
4.5%
6 26
 
4.2%
4 26
 
4.2%
7 25
 
4.0%
8 23
 
3.7%
- 21
 
3.4%
Other values (2) 36
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 916
59.7%
ASCII 619
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
52.3%
1 50
 
8.1%
3 32
 
5.2%
5 28
 
4.5%
2 28
 
4.5%
6 26
 
4.2%
4 26
 
4.2%
7 25
 
4.0%
8 23
 
3.7%
- 21
 
3.4%
Other values (2) 36
 
5.8%
Hangul
ValueCountFrequency (%)
군 81
 
8.8%
면 75
 
8.2%
로 64
 
7.0%
길 35
 
3.8%
산 30
 
3.3%
남 27
 
2.9%
해 25
 
2.7%
시 24
 
2.6%
안 22
 
2.4%
읍 18
 
2.0%
Other values (140) 515
56.2%

주 품목
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
채소류
23 
양파
13 
과채류
11 
과수류
8 
고구마
5 
Other values (25)
37 

Length

Max length7
Median length3
Mean length3.0103093
Min length1

Unique

Unique19 ?
Unique (%)19.6%

Sample

1st row엽채류
2nd row채소류
3rd row채소류
4th row과수류
5th row과수류

Common Values

ValueCountFrequency (%)
채소류 23
23.7%
양파 13
13.4%
과채류 11
11.3%
과수류 8
 
8.2%
고구마 5
 
5.2%
채소 4
 
4.1%
배추 4
 
4.1%
마늘 3
 
3.1%
과일 3
 
3.1%
파프리카 2
 
2.1%
Other values (20) 21
21.6%

Length

2023-12-12T18:11:30.885202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
채소류 23
23.5%
양파 13
13.3%
과채류 11
11.2%
과수류 8
 
8.2%
고구마 5
 
5.1%
채소 5
 
5.1%
배추 4
 
4.1%
과일 4
 
4.1%
마늘 3
 
3.1%
과수,채소 2
 
2.0%
Other values (19) 20
20.4%

부품목 1
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
양파
18 
<NA>
13 
배
8 
마늘
6 
배추
6 
Other values (34)
46 

Length

Max length14
Median length11
Mean length2.9278351
Min length1

Unique

Unique27 ?
Unique (%)27.8%

Sample

1st row갓
2nd row양파
3rd row감자
4th row참다래
5th row배

Common Values

ValueCountFrequency (%)
양파 18
18.6%
<NA> 13
13.4%
배 8
 
8.2%
마늘 6
 
6.2%
배추 6
 
6.2%
딸기 4
 
4.1%
고구마 4
 
4.1%
멜론 3
 
3.1%
무 2
 
2.1%
풋고추 2
 
2.1%
Other values (29) 31
32.0%

Length

2023-12-12T18:11:31.069271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양파 20
19.8%
na 13
12.9%
배 9
 
8.9%
마늘 7
 
6.9%
배추 6
 
5.9%
딸기 4
 
4.0%
고구마 4
 
4.0%
멜론 3
 
3.0%
무 2
 
2.0%
토마토 2
 
2.0%
Other values (28) 31
30.7%

부품목 2
Text

MISSING 

Distinct62
Distinct (%)84.9%
Missing24
Missing (%)24.7%
Memory size908.0 B
2023-12-12T18:11:31.284614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length16
Mean length7.9589041
Min length1

Characters and Unicode

Total characters581
Distinct characters117
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

Unique58 ?
Unique (%)79.5%

Sample

1st row갓,시금치,고들빼기,유자,봄나물,마늘,옥수수,방풍,고구마
2nd row양파,감자,당근,무
3rd row감자,멜론,고구마,찹쌀
4th row매실,배,단감,참다래,복숭아
5th row배
ValueCountFrequency (%)
배 10
 
9.9%
양파 8
 
7.9%
배추 4
 
4.0%
토마토 2
 
2.0%
고구마 2
 
2.0%
무 2
 
2.0%
사과 2
 
2.0%
등 2
 
2.0%
대봉 2
 
2.0%
양배추 2
 
2.0%
Other values (63) 65
64.4%
2023-12-12T18:11:31.719879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 113
19.4%
배 31
 
5.3%
파 31
 
5.3%
양 29
 
5.0%
28
 
4.8%
마 24
 
4.1%
추 23
 
4.0%
고 21
 
3.6%
감 14
 
2.4%
토 14
 
2.4%
Other values (107) 253
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 437
75.2%
Other Punctuation 116
 
20.0%
Space Separator 28
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
배 31
 
7.1%
파 31
 
7.1%
양 29
 
6.6%
마 24
 
5.5%
추 23
 
5.3%
고 21
 
4.8%
감 14
 
3.2%
토 14
 
3.2%
늘 10
 
2.3%
리 9
 
2.1%
Other values (104) 231
52.9%
Other Punctuation
ValueCountFrequency (%)
, 113
97.4%
. 3
 
2.6%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 437
75.2%
Common 144
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
배 31
 
7.1%
파 31
 
7.1%
양 29
 
6.6%
마 24
 
5.5%
추 23
 
5.3%
고 21
 
4.8%
감 14
 
3.2%
토 14
 
3.2%
늘 10
 
2.3%
리 9
 
2.1%
Other values (104) 231
52.9%
Common
ValueCountFrequency (%)
, 113
78.5%
28
 
19.4%
. 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 437
75.2%
ASCII 144
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 113
78.5%
28
 
19.4%
. 3
 
2.1%
Hangul
ValueCountFrequency (%)
배 31
 
7.1%
파 31
 
7.1%
양 29
 
6.6%
마 24
 
5.5%
추 23
 
5.3%
고 21
 
4.8%
감 14
 
3.2%
토 14
 
3.2%
늘 10
 
2.3%
리 9
 
2.1%
Other values (104) 231
52.9%

Correlations

2023-12-12T18:11:31.829272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군조직명사업장 주소주 품목부품목 1부품목 2
시군1.0001.0001.0000.8400.9270.919
조직명1.0001.0001.0001.0001.0001.000
사업장 주소1.0001.0001.0001.0001.0000.991
주 품목0.8401.0001.0001.0000.9750.717
부품목 10.9271.0001.0000.9751.0000.977
부품목 20.9191.0000.9910.7170.9771.000
2023-12-12T18:11:31.967735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주 품목부품목 1시군
주 품목1.0000.6030.340
부품목 10.6031.0000.447
시군0.3400.4471.000
2023-12-12T18:11:32.063668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군주 품목부품목 1
시군1.0000.3400.447
주 품목0.3401.0000.603
부품목 10.4470.6031.000

Missing values

2023-12-12T18:11:28.570782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:11:28.718513image/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

시군조직명사업장 주소주 품목부품목 1부품목 2
0여수시여수농협여수시 돌산읍 강남4길 55엽채류갓갓,시금치,고들빼기,유자,봄나물,마늘,옥수수,방풍,고구마
1여수시여수원예농협여수시 반월길 78채소류양파양파,감자,당근,무
2순천시순천순천순천시 백연길 111채소류감자감자,멜론,고구마,찹쌀
3순천시순천연합조합공동사업법인순천시 승주읍 중대길 15과수류참다래매실,배,단감,참다래,복숭아
4나주시금천농협나주시 금천면 금영로 975과수류배배
5나주시나주시조합공동사업법인나주시 왕곡면 영산포로 22과수류배배, 메론, 토마토, 대봉
6나주시남평농협 친환경농산물 산지유통센터나주시 남평읍 교원교촌길 94과채류,채소류대파대파,애호박,피망,풋고추
7나주시노안농협나주시 노안면 금산로 23과실류,채소류배배, 미나리
8나주시다시농협나주시 다시면 다시로 177채소류양파마늘,배,한라봉
9나주시마한농협나주시 왕곡면 장산양산길 37과일배,참외배,참외
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87장성군삼계농협장성군 삼계면 사창로 66채소, 과일양파, 사과, 배양파, 사과, 배, 양배추, 양상추, 오이
88장성군진원농협장성군 진원면 노사로 503과채류복숭아복숭아,감,대봉,딸기
89장성군황룡농협장성군 황룡면 뱃나드리로 165과채류딸기딸기,포도,감,새싹삼
90진도군서진산지유통영농조합법인진도군 군내면 명량대첩로 288-46양파마늘월동배추
91진도군서진도농협진도군 임회면 십일시길 48채소류배추,대파배추
92목포신안남신안농협신안군 하의면 곰실길 11-35채소류양파양파
93목포신안북신안농협신안군 지도읍 지도증도로 1채소류양파양파
94목포신안신안농협(신석)신안군 암태면 장단고길 7-14채소류양파, 마늘건고추
95목포신안신안농협(안좌)신안군 안좌면 김환기길 11-60채소류마늘마늘,양파
96목포신안임자농협신안군 임자면 진리길 9채소양파양파,대파,건고추