Overview

Dataset statistics

Number of variables8
Number of observations98
Missing cells20
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory65.3 B

Variable types

Categorical3
Text5

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

업종명 has constant value ""Constant
식품군 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 식품군High correlation
소재지전화 has 20 (20.4%) missing valuesMissing
업소명 has unique valuesUnique
대표자 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:47:08.315173
Analysis finished2023-12-10 23:47:09.267063
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
식품제조가공업
98 

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 98
100.0%

Length

2023-12-11T08:47:09.365378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:47:09.476077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 98
100.0%

업소명
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-11T08:47:09.671428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14.5
Mean length6.5306122
Min length2

Characters and Unicode

Total characters640
Distinct characters177
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

Unique98 ?
Unique (%)100.0%

Sample

1st row남해군수협제빙냉동공장
2nd row보물섬우리밀영농조합법인
3rd row인광식품
4th row남해도시락
5th row수정식품
ValueCountFrequency (%)
영농조합법인 4
 
3.3%
남해 3
 
2.5%
주식회사 3
 
2.5%
남해어부림참존식품 1
 
0.8%
늘푸른 1
 
0.8%
수정영어조합법인 1
 
0.8%
화전수산 1
 
0.8%
도울농산영농조합법인 1
 
0.8%
대지포메주 1
 
0.8%
수미식품 1
 
0.8%
Other values (103) 103
85.8%
2023-12-11T08:47:10.069975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 46
 
7.2%
품 43
 
6.7%
해 26
 
4.1%
남 23
 
3.6%
22
 
3.4%
인 19
 
3.0%
농 19
 
3.0%
영 17
 
2.7%
법 16
 
2.5%
조 15
 
2.3%
Other values (167) 394
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
93.4%
Space Separator 22
 
3.4%
Open Punctuation 6
 
0.9%
Close Punctuation 6
 
0.9%
Decimal Number 4
 
0.6%
Uppercase Letter 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 46
 
7.7%
품 43
 
7.2%
해 26
 
4.3%
남 23
 
3.8%
인 19
 
3.2%
농 19
 
3.2%
영 17
 
2.8%
법 16
 
2.7%
조 15
 
2.5%
산 14
 
2.3%
Other values (158) 360
60.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
A 1
25.0%
O 1
25.0%
R 1
25.0%
Decimal Number
ValueCountFrequency (%)
7 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
93.4%
Common 38
 
5.9%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 46
 
7.7%
품 43
 
7.2%
해 26
 
4.3%
남 23
 
3.8%
인 19
 
3.2%
농 19
 
3.2%
영 17
 
2.8%
법 16
 
2.7%
조 15
 
2.5%
산 14
 
2.3%
Other values (158) 360
60.2%
Common
ValueCountFrequency (%)
22
57.9%
( 6
 
15.8%
) 6
 
15.8%
7 2
 
5.3%
1 2
 
5.3%
Latin
ValueCountFrequency (%)
D 1
25.0%
A 1
25.0%
O 1
25.0%
R 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
93.4%
ASCII 42
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 46
 
7.7%
품 43
 
7.2%
해 26
 
4.3%
남 23
 
3.8%
인 19
 
3.2%
농 19
 
3.2%
영 17
 
2.8%
법 16
 
2.7%
조 15
 
2.5%
산 14
 
2.3%
Other values (158) 360
60.2%
ASCII
ValueCountFrequency (%)
22
52.4%
( 6
 
14.3%
) 6
 
14.3%
7 2
 
4.8%
1 2
 
4.8%
D 1
 
2.4%
A 1
 
2.4%
O 1
 
2.4%
R 1
 
2.4%

대표자
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-11T08:47:10.399672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0918367
Min length2

Characters and Unicode

Total characters303
Distinct characters106
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

Unique98 ?
Unique (%)100.0%

Sample

1st row김창영
2nd row류봉심
3rd row윤진원
4th row조재욱
5th row오희덕
ValueCountFrequency (%)
외 2
 
2.0%
1명 2
 
2.0%
김창영 1
 
1.0%
박희열 1
 
1.0%
강기표 1
 
1.0%
최일기 1
 
1.0%
장일용 1
 
1.0%
서재섭 1
 
1.0%
박홍 1
 
1.0%
배원열 1
 
1.0%
Other values (90) 90
88.2%
2023-12-11T08:47:10.976152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 16
 
5.3%
박 15
 
5.0%
김 13
 
4.3%
정 13
 
4.3%
영 8
 
2.6%
선 7
 
2.3%
숙 7
 
2.3%
동 6
 
2.0%
희 6
 
2.0%
성 6
 
2.0%
Other values (96) 206
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
98.0%
Space Separator 4
 
1.3%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 16
 
5.4%
박 15
 
5.1%
김 13
 
4.4%
정 13
 
4.4%
영 8
 
2.7%
선 7
 
2.4%
숙 7
 
2.4%
동 6
 
2.0%
희 6
 
2.0%
성 6
 
2.0%
Other values (94) 200
67.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
98.0%
Common 6
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 16
 
5.4%
박 15
 
5.1%
김 13
 
4.4%
정 13
 
4.4%
영 8
 
2.7%
선 7
 
2.4%
숙 7
 
2.4%
동 6
 
2.0%
희 6
 
2.0%
성 6
 
2.0%
Other values (94) 200
67.3%
Common
ValueCountFrequency (%)
4
66.7%
1 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
98.0%
ASCII 6
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 16
 
5.4%
박 15
 
5.1%
김 13
 
4.4%
정 13
 
4.4%
영 8
 
2.7%
선 7
 
2.4%
숙 7
 
2.4%
동 6
 
2.0%
희 6
 
2.0%
성 6
 
2.0%
Other values (94) 200
67.3%
ASCII
ValueCountFrequency (%)
4
66.7%
1 2
33.3%

소재지(도로명)
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-11T08:47:11.390774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length26.326531
Min length19

Characters and Unicode

Total characters2580
Distinct characters72
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 미조면 미조로 288
2nd row경상남도 남해군 남해읍 망운로 195-4
3rd row경상남도 남해군 미조면 동부대로 34 (외1필지(430))
4th row경상남도 남해군 남해읍 화전로 16-9 (외2필지(남변리 253-3,643-19))
5th row경상남도 남해군 삼동면 동부대로1030번길 35
ValueCountFrequency (%)
경상남도 98
18.7%
남해군 98
18.7%
삼동면 42
 
8.0%
미조면 11
 
2.1%
남해읍 11
 
2.1%
동부대로 11
 
2.1%
남해대로 10
 
1.9%
고현면 9
 
1.7%
남면 7
 
1.3%
양화금로 6
 
1.1%
Other values (172) 220
42.1%
2023-12-11T08:47:11.963508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
425
 
16.5%
남 234
 
9.1%
해 120
 
4.7%
1 113
 
4.4%
경 98
 
3.8%
도 98
 
3.8%
군 98
 
3.8%
상 98
 
3.8%
로 98
 
3.8%
면 89
 
3.4%
Other values (62) 1109
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1477
57.2%
Decimal Number 543
 
21.0%
Space Separator 425
 
16.5%
Dash Punctuation 61
 
2.4%
Open Punctuation 29
 
1.1%
Close Punctuation 29
 
1.1%
Other Punctuation 15
 
0.6%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 234
15.8%
해 120
 
8.1%
경 98
 
6.6%
도 98
 
6.6%
군 98
 
6.6%
상 98
 
6.6%
로 98
 
6.6%
면 89
 
6.0%
동 84
 
5.7%
대 49
 
3.3%
Other values (45) 411
27.8%
Decimal Number
ValueCountFrequency (%)
1 113
20.8%
2 76
14.0%
3 70
12.9%
4 55
10.1%
5 44
 
8.1%
6 41
 
7.6%
8 40
 
7.4%
0 39
 
7.2%
7 34
 
6.3%
9 31
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
. 1
 
6.7%
Space Separator
ValueCountFrequency (%)
425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1477
57.2%
Common 1103
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 234
15.8%
해 120
 
8.1%
경 98
 
6.6%
도 98
 
6.6%
군 98
 
6.6%
상 98
 
6.6%
로 98
 
6.6%
면 89
 
6.0%
동 84
 
5.7%
대 49
 
3.3%
Other values (45) 411
27.8%
Common
ValueCountFrequency (%)
425
38.5%
1 113
 
10.2%
2 76
 
6.9%
3 70
 
6.3%
- 61
 
5.5%
4 55
 
5.0%
5 44
 
4.0%
6 41
 
3.7%
8 40
 
3.6%
0 39
 
3.5%
Other values (7) 139
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1477
57.2%
ASCII 1102
42.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
425
38.6%
1 113
 
10.3%
2 76
 
6.9%
3 70
 
6.4%
- 61
 
5.5%
4 55
 
5.0%
5 44
 
4.0%
6 41
 
3.7%
8 40
 
3.6%
0 39
 
3.5%
Other values (6) 138
 
12.5%
Hangul
ValueCountFrequency (%)
남 234
15.8%
해 120
 
8.1%
경 98
 
6.6%
도 98
 
6.6%
군 98
 
6.6%
상 98
 
6.6%
로 98
 
6.6%
면 89
 
6.0%
동 84
 
5.7%
대 49
 
3.3%
Other values (45) 411
27.8%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지(지번)
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-11T08:47:12.290054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length28.122449
Min length22

Characters and Unicode

Total characters2756
Distinct characters94
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 미조면 170번지 68호
2nd row경상남도 남해군 남해읍 아산리 1309번지 12호
3rd row경상남도 남해군 미조면 송정리 512번지 외1필지(430)
4th row경상남도 남해군 남해읍 남변리 255번지 2호 외2필지(남변리 253-3,643-19)
5th row경상남도 남해군 삼동면 물건리 491번지
ValueCountFrequency (%)
경상남도 98
 
16.9%
남해군 98
 
16.9%
삼동면 42
 
7.2%
1호 25
 
4.3%
물건리 21
 
3.6%
남해읍 11
 
1.9%
미조면 11
 
1.9%
고현면 9
 
1.5%
동천리 7
 
1.2%
남면 7
 
1.2%
Other values (177) 252
43.4%
2023-12-11T08:47:12.761889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
663
24.1%
남 218
 
7.9%
지 124
 
4.5%
해 109
 
4.0%
번 101
 
3.7%
상 100
 
3.6%
도 100
 
3.6%
리 99
 
3.6%
경 98
 
3.6%
군 98
 
3.6%
Other values (84) 1046
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1586
57.5%
Space Separator 663
24.1%
Decimal Number 458
 
16.6%
Dash Punctuation 14
 
0.5%
Open Punctuation 13
 
0.5%
Close Punctuation 13
 
0.5%
Other Punctuation 8
 
0.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 218
13.7%
지 124
 
7.8%
해 109
 
6.9%
번 101
 
6.4%
상 100
 
6.3%
도 100
 
6.3%
리 99
 
6.2%
경 98
 
6.2%
군 98
 
6.2%
면 89
 
5.6%
Other values (67) 450
28.4%
Decimal Number
ValueCountFrequency (%)
1 95
20.7%
5 52
11.4%
4 46
10.0%
2 46
10.0%
3 44
9.6%
7 41
9.0%
6 40
8.7%
0 33
 
7.2%
8 31
 
6.8%
9 30
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
663
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1586
57.5%
Common 1170
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 218
13.7%
지 124
 
7.8%
해 109
 
6.9%
번 101
 
6.4%
상 100
 
6.3%
도 100
 
6.3%
리 99
 
6.2%
경 98
 
6.2%
군 98
 
6.2%
면 89
 
5.6%
Other values (67) 450
28.4%
Common
ValueCountFrequency (%)
663
56.7%
1 95
 
8.1%
5 52
 
4.4%
4 46
 
3.9%
2 46
 
3.9%
3 44
 
3.8%
7 41
 
3.5%
6 40
 
3.4%
0 33
 
2.8%
8 31
 
2.6%
Other values (7) 79
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1586
57.5%
ASCII 1169
42.4%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
663
56.7%
1 95
 
8.1%
5 52
 
4.4%
4 46
 
3.9%
2 46
 
3.9%
3 44
 
3.8%
7 41
 
3.5%
6 40
 
3.4%
0 33
 
2.8%
8 31
 
2.7%
Other values (6) 78
 
6.7%
Hangul
ValueCountFrequency (%)
남 218
13.7%
지 124
 
7.8%
해 109
 
6.9%
번 101
 
6.4%
상 100
 
6.3%
도 100
 
6.3%
리 99
 
6.2%
경 98
 
6.2%
군 98
 
6.2%
면 89
 
5.6%
Other values (67) 450
28.4%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

식품군
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size916.0 B
수산가공식품류
44 
음료류
15 
장류
5 
규격외일반가공식품
5 
기타식품류
 
2
Other values (25)
27 

Length

Max length41
Median length31
Mean length8.3979592
Min length2

Unique

Unique23 ?
Unique (%)23.5%

Sample

1st row기타식품류
2nd row면류,기타식품류,규격외일반가공품
3rd row조미식품, 수산가공식품류
4th row기타식품류
5th row수산가공식품류

Common Values

ValueCountFrequency (%)
수산가공식품류 44
44.9%
음료류 15
 
15.3%
장류 5
 
5.1%
규격외일반가공식품 5
 
5.1%
기타식품류 2
 
2.0%
조미식품, 수산가공식품류 2
 
2.0%
조미식품 2
 
2.0%
장류,수산가공식품류,기타식품류,규격외일반가공식품 1
 
1.0%
잼류,다류,기타식품류 1
 
1.0%
면류,기타식품류,규격외일반가공품 1
 
1.0%
Other values (20) 20
20.4%

Length

2023-12-11T08:47:12.938955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수산가공식품류 49
37.4%
음료류 18
 
13.7%
또는 9
 
6.9%
장류 7
 
5.3%
규격외일반가공식품 6
 
4.6%
조림류 5
 
3.8%
빵류 4
 
3.1%
조미식품 4
 
3.1%
떡류 4
 
3.1%
절임류 4
 
3.1%
Other values (16) 21
16.0%

유형
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size916.0 B
액젓
39 
액상차
9 
액젓,절임류
 
3
침출차
 
3
액상차, 과채가공품
 
2
Other values (37)
42 

Length

Max length58
Median length37
Mean length5.8877551
Min length2

Unique

Unique32 ?
Unique (%)32.7%

Sample

1st row어업용얼음
2nd row국수,기타밀가루,곡류가공품
3rd row소스류,젓갈,액젓
4th row즉석섭취식품
5th row액젓

Common Values

ValueCountFrequency (%)
액젓 39
39.8%
액상차 9
 
9.2%
액젓,절임류 3
 
3.1%
침출차 3
 
3.1%
액상차, 과채가공품 2
 
2.0%
한식메주 2
 
2.0%
수산가공품 2
 
2.0%
기타가공품 2
 
2.0%
젓갈,액젓 2
 
2.0%
절임식품 2
 
2.0%
Other values (32) 32
32.7%

Length

2023-12-11T08:47:13.098095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
액젓 42
37.5%
액상차 13
 
11.6%
한식메주 4
 
3.6%
액젓,절임류 3
 
2.7%
침출차 3
 
2.7%
과채가공품 3
 
2.7%
절임식품 3
 
2.7%
한식된장 3
 
2.7%
소스류 2
 
1.8%
수산가공품 2
 
1.8%
Other values (31) 34
30.4%

소재지전화
Text

MISSING 

Distinct77
Distinct (%)98.7%
Missing20
Missing (%)20.4%
Memory size916.0 B
2023-12-11T08:47:13.323253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012821
Min length12

Characters and Unicode

Total characters937
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)97.4%

Sample

1st row055-867-7307
2nd row055-864-5193
3rd row055-867-7114
4th row055-864-3113
5th row055-867-0075
ValueCountFrequency (%)
055-867-0075 2
 
2.6%
055-863-2166 1
 
1.3%
055-867-7307 1
 
1.3%
055-862-0863 1
 
1.3%
055-864-8157 1
 
1.3%
055-867-5558 1
 
1.3%
055-863-1818 1
 
1.3%
055-862-9284 1
 
1.3%
055-864-3118 1
 
1.3%
055-867-6113 1
 
1.3%
Other values (67) 67
85.9%
2023-12-11T08:47:13.733412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 183
19.5%
- 156
16.6%
0 126
13.4%
8 106
11.3%
6 104
11.1%
7 80
8.5%
2 49
 
5.2%
3 40
 
4.3%
1 38
 
4.1%
4 34
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 781
83.4%
Dash Punctuation 156
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 183
23.4%
0 126
16.1%
8 106
13.6%
6 104
13.3%
7 80
10.2%
2 49
 
6.3%
3 40
 
5.1%
1 38
 
4.9%
4 34
 
4.4%
9 21
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 937
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 183
19.5%
- 156
16.6%
0 126
13.4%
8 106
11.3%
6 104
11.1%
7 80
8.5%
2 49
 
5.2%
3 40
 
4.3%
1 38
 
4.1%
4 34
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 183
19.5%
- 156
16.6%
0 126
13.4%
8 106
11.3%
6 104
11.1%
7 80
8.5%
2 49
 
5.2%
3 40
 
4.3%
1 38
 
4.1%
4 34
 
3.6%

Correlations

2023-12-11T08:47:13.833402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명대표자소재지(도로명)소재지(지번)식품군유형소재지전화
업소명1.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.0001.0001.000
식품군1.0001.0001.0001.0001.0000.9951.000
유형1.0001.0001.0001.0000.9951.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
2023-12-11T08:47:13.931975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식품군유형
식품군1.0000.792
유형0.7921.000
2023-12-11T08:47:14.011858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식품군유형
식품군1.0000.792
유형0.7921.000

Missing values

2023-12-11T08:47:09.069545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:47:09.205961image/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

업종명업소명대표자소재지(도로명)소재지(지번)식품군유형소재지전화
0식품제조가공업남해군수협제빙냉동공장김창영경상남도 남해군 미조면 미조로 288경상남도 남해군 미조면 170번지 68호기타식품류어업용얼음055-867-7307
1식품제조가공업보물섬우리밀영농조합법인류봉심경상남도 남해군 남해읍 망운로 195-4경상남도 남해군 남해읍 아산리 1309번지 12호면류,기타식품류,규격외일반가공품국수,기타밀가루,곡류가공품055-864-5193
2식품제조가공업인광식품윤진원경상남도 남해군 미조면 동부대로 34 (외1필지(430))경상남도 남해군 미조면 송정리 512번지 외1필지(430)조미식품, 수산가공식품류소스류,젓갈,액젓055-867-7114
3식품제조가공업남해도시락조재욱경상남도 남해군 남해읍 화전로 16-9 (외2필지(남변리 253-3,643-19))경상남도 남해군 남해읍 남변리 255번지 2호 외2필지(남변리 253-3,643-19)기타식품류즉석섭취식품055-864-3113
4식품제조가공업수정식품오희덕경상남도 남해군 삼동면 동부대로1030번길 35경상남도 남해군 삼동면 물건리 491번지수산가공식품류액젓055-867-0075
5식품제조가공업남해군흑마늘 주식회사 남해공장정윤호경상남도 남해군 설천면 설천로 176-40 (번지 1동 주1층(683.50)㎡)경상남도 남해군 설천면 비란리 105번지 번지 1동 주1층(683.50)㎡규격외일반가공식품과.채가공품,과채퓨레,과채가공품055-863-2950
6식품제조가공업동보식품정선녀경상남도 남해군 미조면 동부대로 464, 1층경상남도 남해군 미조면 송정리 87번지 1호수산가공식품류액젓<NA>
7식품제조가공업남과자식품신우엽경상남도 남해군 삼동면 동부대로1030번안길 24-3경상남도 남해군 삼동면 물건리 443번지 1호음료류액상차055-867-0387
8식품제조가공업누가바이오 영농조합법인하삼선경상남도 남해군 남면 남서대로 889경상남도 남해군 남면 죽전리 1017번지 7호코코아가공품또는쵸코릿류,음료류,조미식품,규격외일반가공품액상차,고형차,천연향신료,기타가공품,액상차055-863-0670
9식품제조가공업마안도식품박정숙경상남도 남해군 삼동면 동부대로942번길 5경상남도 남해군 삼동면 물건리 667번지 8호수산가공식품류액젓<NA>
업종명업소명대표자소재지(도로명)소재지(지번)식품군유형소재지전화
88식품제조가공업은비네식품양선미경상남도 남해군 삼동면 봉화로531번길 25-1경상남도 남해군 삼동면 영지리 1075번지수산가공식품류액젓<NA>
89식품제조가공업둥지식품정동희 외 1명경상남도 남해군 미조면 미조로 162경상남도 남해군 미조면 미조리 19번지 86호수산가공식품류액젓<NA>
90식품제조가공업명진식품조영혜경상남도 남해군 창선면 동부대로2134번길 76경상남도 남해군 창선면 당저리 309번지 3호수산가공식품류액젓<NA>
91식품제조가공업미조항식품김규현경상남도 남해군 미조면 미송로 91경상남도 남해군 미조면 미조리 170번지 12호수산가공식품류액젓,젓갈055-867-6234
92식품제조가공업르뱅스타베이커리한추영경상남도 남해군 삼동면 동부대로1030번길 77, 1층경상남도 남해군 삼동면 물건리 457번지과자류 빵류 또는 떡류빵류055-864-7588
93식품제조가공업일심식품이기명경상남도 남해군 남해읍 선소로75번길 78경상남도 남해군 남해읍 차산리 448번지 7호절임류 또는 조림류절임식품<NA>
94식품제조가공업미송식품편채숙경상남도 남해군 미조면 미송로 161, 1,4동경상남도 남해군 미조면 미조리 180번지 7호 1,4동수산가공식품류액젓<NA>
95식품제조가공업로드17(ROAD17)박기홍경상남도 남해군 삼동면 독일로 17, 2동경상남도 남해군 삼동면 물건리 294번지 13호 2동음료류커피055-867-3722
96식품제조가공업티팡조영주경상남도 남해군 남해읍 화전로 65-8, 2층경상남도 남해군 남해읍 서변리 13번지 1호음료류침출차<NA>
97식품제조가공업신명당배병환경상남도 남해군 창선면 동부대로 2416경상남도 남해군 창선면 동대리 483번지 1호절임류 또는 조림류, 과자류 빵류 또는 떡류절임식품<NA>