Overview

Dataset statistics

Number of variables7
Number of observations99
Missing cells25
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory57.3 B

Variable types

Text3
Categorical4

Dataset

Description남해군 관내 식품제조가공업 현황에 대한 데이터이며 업소명, 전화번호, 주소, 식품 종류, 소재지 등의 항목을 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15021950

Alerts

업소명 has constant value ""Constant
식품군 is highly overall correlated with 식품유형High correlation
식품유형 is highly overall correlated with 식품군High correlation
전화번호 has 25 (25.3%) missing valuesMissing
업종 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:47:15.820663
Analysis finished2023-12-10 23:47:16.454251
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T08:47:16.664831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.8787879
Min length3

Characters and Unicode

Total characters681
Distinct characters172
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st row보물섬우리밀영농조합법인
2nd row인광식품
3rd row수정식품
4th row남해군흑마늘 주식회사 남해공장
5th row동보식품
ValueCountFrequency (%)
주식회사 6
 
4.9%
영농조합법인 2
 
1.6%
마안도식품 2
 
1.6%
남해 2
 
1.6%
보물섬우리밀영농조합법인 1
 
0.8%
전도영어조합법인 1
 
0.8%
유자청 1
 
0.8%
차면 1
 
0.8%
우도식품 1
 
0.8%
미네랄아피크 1
 
0.8%
Other values (105) 105
85.4%
2023-12-11T08:47:17.125656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 51
 
7.5%
품 44
 
6.5%
해 27
 
4.0%
24
 
3.5%
남 23
 
3.4%
인 22
 
3.2%
농 21
 
3.1%
법 18
 
2.6%
조 17
 
2.5%
영 16
 
2.3%
Other values (162) 418
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 638
93.7%
Space Separator 24
 
3.5%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%
Decimal Number 5
 
0.7%
Uppercase Letter 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 51
 
8.0%
품 44
 
6.9%
해 27
 
4.2%
남 23
 
3.6%
인 22
 
3.4%
농 21
 
3.3%
법 18
 
2.8%
조 17
 
2.7%
영 16
 
2.5%
합 15
 
2.4%
Other values (153) 384
60.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
D 1
25.0%
O 1
25.0%
R 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
7 2
40.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
93.7%
Common 39
 
5.7%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 51
 
8.0%
품 44
 
6.9%
해 27
 
4.2%
남 23
 
3.6%
인 22
 
3.4%
농 21
 
3.3%
법 18
 
2.8%
조 17
 
2.7%
영 16
 
2.5%
합 15
 
2.4%
Other values (153) 384
60.2%
Common
ValueCountFrequency (%)
24
61.5%
) 5
 
12.8%
( 5
 
12.8%
1 3
 
7.7%
7 2
 
5.1%
Latin
ValueCountFrequency (%)
A 1
25.0%
D 1
25.0%
O 1
25.0%
R 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
93.7%
ASCII 43
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 51
 
8.0%
품 44
 
6.9%
해 27
 
4.2%
남 23
 
3.6%
인 22
 
3.4%
농 21
 
3.3%
법 18
 
2.8%
조 17
 
2.7%
영 16
 
2.5%
합 15
 
2.4%
Other values (153) 384
60.2%
ASCII
ValueCountFrequency (%)
24
55.8%
) 5
 
11.6%
( 5
 
11.6%
1 3
 
7.0%
7 2
 
4.7%
A 1
 
2.3%
D 1
 
2.3%
O 1
 
2.3%
R 1
 
2.3%

업소명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
식품제조가공업
99 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 99
100.0%

Length

2023-12-11T08:47:17.260508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:47:17.374106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 99
100.0%

전화번호
Text

MISSING 

Distinct74
Distinct (%)100.0%
Missing25
Missing (%)25.3%
Memory size924.0 B
2023-12-11T08:47:17.576708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.513514
Min length12

Characters and Unicode

Total characters926
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)100.0%

Sample

1st row 055-864-5193
2nd row 055-867-7114
3rd row 055-867-0075
4th row 055-863-2950
5th row 055-867-0387
ValueCountFrequency (%)
055 2
 
2.6%
055-867-0075 2
 
2.6%
055-863-4994 1
 
1.3%
055-862-5414 1
 
1.3%
055-867-6601 1
 
1.3%
055-864-1550 1
 
1.3%
055-862-4474 1
 
1.3%
055-864-8157 1
 
1.3%
055-867-5558 1
 
1.3%
055-863-1818 1
 
1.3%
Other values (64) 64
84.2%
2023-12-11T08:47:17.948256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 174
18.8%
- 148
16.0%
0 121
13.1%
8 99
10.7%
6 97
10.5%
7 73
7.9%
2 47
 
5.1%
3 40
 
4.3%
38
 
4.1%
1 35
 
3.8%
Other values (2) 54
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 740
79.9%
Dash Punctuation 148
 
16.0%
Space Separator 38
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 174
23.5%
0 121
16.4%
8 99
13.4%
6 97
13.1%
7 73
9.9%
2 47
 
6.4%
3 40
 
5.4%
1 35
 
4.7%
4 31
 
4.2%
9 23
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 926
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 174
18.8%
- 148
16.0%
0 121
13.1%
8 99
10.7%
6 97
10.5%
7 73
7.9%
2 47
 
5.1%
3 40
 
4.3%
38
 
4.1%
1 35
 
3.8%
Other values (2) 54
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 926
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 174
18.8%
- 148
16.0%
0 121
13.1%
8 99
10.7%
6 97
10.5%
7 73
7.9%
2 47
 
5.1%
3 40
 
4.3%
38
 
4.1%
1 35
 
3.8%
Other values (2) 54
 
5.8%

소재지(도로명)
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T08:47:18.349021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.10101
Min length19

Characters and Unicode

Total characters2584
Distinct characters87
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 남해읍 망운로 195-4
2nd row경상남도 남해군 미조면 동부대로 34 (외1필지(430))
3rd row경상남도 남해군 삼동면 동부대로1030번길 35
4th row경상남도 남해군 설천면 설천로 176-40
5th row경상남도 남해군 미조면 동부대로 464, 1층
ValueCountFrequency (%)
경상남도 99
18.7%
남해군 99
18.7%
삼동면 42
 
7.9%
남해대로 12
 
2.3%
미조면 11
 
2.1%
고현면 10
 
1.9%
동부대로 9
 
1.7%
남해읍 9
 
1.7%
양화금로 8
 
1.5%
1층 8
 
1.5%
Other values (170) 223
42.1%
2023-12-11T08:47:18.848068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
431
 
16.7%
남 239
 
9.2%
해 122
 
4.7%
1 109
 
4.2%
군 100
 
3.9%
상 99
 
3.8%
로 99
 
3.8%
경 99
 
3.8%
도 99
 
3.8%
면 93
 
3.6%
Other values (77) 1094
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1503
58.2%
Decimal Number 529
 
20.5%
Space Separator 431
 
16.7%
Dash Punctuation 60
 
2.3%
Close Punctuation 20
 
0.8%
Open Punctuation 20
 
0.8%
Other Punctuation 20
 
0.8%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 239
15.9%
해 122
 
8.1%
군 100
 
6.7%
상 99
 
6.6%
로 99
 
6.6%
경 99
 
6.6%
도 99
 
6.6%
면 93
 
6.2%
동 85
 
5.7%
대 50
 
3.3%
Other values (61) 418
27.8%
Decimal Number
ValueCountFrequency (%)
1 109
20.6%
2 72
13.6%
3 71
13.4%
4 59
11.2%
5 44
8.3%
6 38
 
7.2%
0 38
 
7.2%
8 35
 
6.6%
7 32
 
6.0%
9 31
 
5.9%
Space Separator
ValueCountFrequency (%)
431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1503
58.2%
Common 1080
41.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 239
15.9%
해 122
 
8.1%
군 100
 
6.7%
상 99
 
6.6%
로 99
 
6.6%
경 99
 
6.6%
도 99
 
6.6%
면 93
 
6.2%
동 85
 
5.7%
대 50
 
3.3%
Other values (61) 418
27.8%
Common
ValueCountFrequency (%)
431
39.9%
1 109
 
10.1%
2 72
 
6.7%
3 71
 
6.6%
- 60
 
5.6%
4 59
 
5.5%
5 44
 
4.1%
6 38
 
3.5%
0 38
 
3.5%
8 35
 
3.2%
Other values (5) 123
 
11.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1503
58.2%
ASCII 1081
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
431
39.9%
1 109
 
10.1%
2 72
 
6.7%
3 71
 
6.6%
- 60
 
5.6%
4 59
 
5.5%
5 44
 
4.1%
6 38
 
3.5%
0 38
 
3.5%
8 35
 
3.2%
Other values (6) 124
 
11.5%
Hangul
ValueCountFrequency (%)
남 239
15.9%
해 122
 
8.1%
군 100
 
6.7%
상 99
 
6.6%
로 99
 
6.6%
경 99
 
6.6%
도 99
 
6.6%
면 93
 
6.2%
동 85
 
5.7%
대 50
 
3.3%
Other values (61) 418
27.8%

식품군
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size924.0 B
젓갈류
29 
수산가공식품류
11 
음료류
5 
젓갈류, 수산가공식품류
5 
젓갈류, 절임식품
 
3
Other values (44)
46 

Length

Max length125
Median length107
Mean length18.080808
Min length4

Unique

Unique42 ?
Unique (%)42.4%

Sample

1st row 면류, 면류, 기타식품류, 규격외일반가공식품, 면류
2nd row 조미식품, 젓갈류, 수산가공식품류
3rd row 젓갈류
4th row 기타식품류, 기타식품류, 과.채가공품류, 조미식품, 농산가공식품류
5th row 젓갈류, 수산가공식품류

Common Values

ValueCountFrequency (%)
젓갈류 29
29.3%
수산가공식품류 11
 
11.1%
음료류 5
 
5.1%
젓갈류, 수산가공식품류 5
 
5.1%
젓갈류, 절임식품 3
 
3.0%
다류 2
 
2.0%
다류, 음료류 2
 
2.0%
다류, 음료류, 절임식품, 기타식품류, 규격외일반가공식품, 다류, 절임식품, 기타식품류, 과.채가공품, 음료류 1
 
1.0%
기타식품류, 기타식품류, 과.채가공품류, 조미식품, 농산가공식품류 1
 
1.0%
장류, 기타식품류 1
 
1.0%
Other values (39) 39
39.4%

Length

2023-12-11T08:47:19.021668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
젓갈류 43
15.2%
음료류 34
12.0%
기타식품류 25
 
8.8%
다류 23
 
8.1%
수산가공식품류 21
 
7.4%
장류 18
 
6.4%
절임식품 14
 
4.9%
또는 13
 
4.6%
규격외일반가공식품 13
 
4.6%
조미식품 12
 
4.2%
Other values (25) 67
23.7%

식품유형
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size924.0 B
액젓
32 
젓갈, 액젓
11 
액상차
8 
기타 수산물가공품
 
3
<NA>
 
2
Other values (41)
43 

Length

Max length62
Median length53
Mean length12.929293
Min length4

Unique

Unique39 ?
Unique (%)39.4%

Sample

1st row 밀가루, 곡류가공품
2nd row 소스, 젓갈, 양념젓갈, 액젓
3rd row 액젓
4th row 천연향신료, 과.채가공품
5th row 젓갈, 액젓

Common Values

ValueCountFrequency (%)
액젓 32
32.3%
젓갈, 액젓 11
 
11.1%
액상차 8
 
8.1%
기타 수산물가공품 3
 
3.0%
<NA> 2
 
2.0%
당절임 2
 
2.0%
액상차, 과.채가공품 2
 
2.0%
천연향신료 1
 
1.0%
천연향신료, 과.채가공품 1
 
1.0%
한식메주, 한식간장, 된장, 청국장 1
 
1.0%
Other values (36) 36
36.4%

Length

2023-12-11T08:47:19.156070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
액젓 51
23.1%
액상차 20
 
9.0%
젓갈 15
 
6.8%
절임식품 10
 
4.5%
과.채가공품 10
 
4.5%
침출차 8
 
3.6%
당절임 8
 
3.6%
한식된장 8
 
3.6%
한식간장 7
 
3.2%
기타가공품 7
 
3.2%
Other values (35) 77
34.8%

행정읍면
Categorical

Distinct9
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
삼동면
42 
미조면
11 
고현면
10 
남해읍
9 
남면
7 
Other values (4)
20 

Length

Max length3
Median length3
Mean length2.8989899
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남해읍
2nd row미조면
3rd row삼동면
4th row설천면
5th row미조면

Common Values

ValueCountFrequency (%)
삼동면 42
42.4%
미조면 11
 
11.1%
고현면 10
 
10.1%
남해읍 9
 
9.1%
남면 7
 
7.1%
창선면 7
 
7.1%
이동면 7
 
7.1%
설천면 3
 
3.0%
서면 3
 
3.0%

Length

2023-12-11T08:47:19.295317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:47:19.416227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼동면 42
42.4%
미조면 11
 
11.1%
고현면 10
 
10.1%
남해읍 9
 
9.1%
남면 7
 
7.1%
창선면 7
 
7.1%
이동면 7
 
7.1%
설천면 3
 
3.0%
서면 3
 
3.0%

Correlations

2023-12-11T08:47:19.524364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종전화번호소재지(도로명)식품군식품유형행정읍면
업종1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.000
식품군1.0001.0001.0001.0000.9970.907
식품유형1.0001.0001.0000.9971.0000.897
행정읍면1.0001.0001.0000.9070.8971.000
2023-12-11T08:47:19.645390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식품유형식품군행정읍면
식품유형1.0000.8430.425
식품군0.8431.0000.455
행정읍면0.4250.4551.000
2023-12-11T08:47:19.723848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식품군식품유형행정읍면
식품군1.0000.8430.455
식품유형0.8431.0000.425
행정읍면0.4550.4251.000

Missing values

2023-12-11T08:47:16.287802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:47:16.411921image/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

업종업소명전화번호소재지(도로명)식품군식품유형행정읍면
0보물섬우리밀영농조합법인식품제조가공업055-864-5193경상남도 남해군 남해읍 망운로 195-4면류, 면류, 기타식품류, 규격외일반가공식품, 면류밀가루, 곡류가공품남해읍
1인광식품식품제조가공업055-867-7114경상남도 남해군 미조면 동부대로 34 (외1필지(430))조미식품, 젓갈류, 수산가공식품류소스, 젓갈, 양념젓갈, 액젓미조면
2수정식품식품제조가공업055-867-0075경상남도 남해군 삼동면 동부대로1030번길 35젓갈류액젓삼동면
3남해군흑마늘 주식회사 남해공장식품제조가공업055-863-2950경상남도 남해군 설천면 설천로 176-40기타식품류, 기타식품류, 과.채가공품류, 조미식품, 농산가공식품류천연향신료, 과.채가공품설천면
4동보식품식품제조가공업<NA>경상남도 남해군 미조면 동부대로 464, 1층젓갈류, 수산가공식품류젓갈, 액젓미조면
5남과자식품식품제조가공업055-867-0387경상남도 남해군 삼동면 동부대로1030번안길 24-3다류액상차삼동면
6마안도식품식품제조가공업<NA>경상남도 남해군 삼동면 동부대로942번길 5젓갈류액젓삼동면
7금해식품식품제조가공업055-867-0390경상남도 남해군 삼동면 동부대로 1008-1젓갈류, 절임식품젓갈, 액젓삼동면
8으뜸농산식품제조가공업055-863-2921경상남도 남해군 남면 남면로1362번길 56장류, 기타식품류한식메주, 한식간장, 된장, 청국장남면
9양원식품식품제조가공업055-867-0179경상남도 남해군 삼동면 동부대로942번길 5-7젓갈류액젓삼동면
업종업소명전화번호소재지(도로명)식품군식품유형행정읍면
89남해군농산물종합가공센터식품제조가공업055-860-3970경상남도 남해군 이동면 남해대로 2465-17, 1층잼류, 음료류, 절임류 또는 조림류, 농산가공식품류잼, 침출차, 액상차, 절임식품, 과.채가공품이동면
90코나하우스식품제조가공업<NA>경상남도 남해군 남면 남서대로 493, 1층 (코나하우스)음료류침출차, 고형차남면
91선인수산식품제조가공업<NA>경상남도 남해군 이동면 남해대로 2326-9수산가공식품류기타 수산물가공품이동면
92마안도식품 제1공장식품제조가공업<NA>경상남도 남해군 삼동면 양화금로 481-13수산가공식품류액젓삼동면
93농업회사법인 주식회사 다랭이팜식품제조가공업055-863-0979경상남도 남해군 남해읍 스포츠로 154절임류 또는 조림류당절임남해읍
94동추수산식품제조가공업<NA>경상남도 남해군 삼동면 양화금로 452수산가공식품류젓갈, 액젓삼동면
95미르영농조합법인식품제조가공업<NA>경상남도 남해군 삼동면 봉화로 495-3, A동음료류, 농산가공식품류<NA>삼동면
96관음포연꽃마을협동조합식품제조가공업<NA>경상남도 남해군 고현면 남서대로 3282, 관음포연꽃마을협동조합음료류, 기타식품류침출차, 기타가공품고현면
97별아라 카페식품제조가공업055-862-1510경상남도 남해군 서면 남서대로1517번길 28, 1층커피원두, 음료류커피원두서면
98남해청식품제조가공업<NA>경상남도 남해군 남해읍 망운로9번길 29-7, 2동 1층과자류, 빵류 또는 떡류<NA>남해읍