Overview

Dataset statistics

Number of variables6
Number of observations161
Missing cells50
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory48.8 B

Variable types

Text6

Dataset

Description경상남도 양산시의 사업장을 둔 식품제조가공업체 공공데이터 현황입니다. 사업장명, 소재지 주소, 전화번호, 식품의종류, 식품의유형 등을 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15021959

Alerts

소재지전화 has 39 (24.2%) missing valuesMissing
식품의유형 has 10 (6.2%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:48:23.079968
Analysis finished2023-12-11 00:48:23.710187
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct160
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T09:48:23.901366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.8695652
Min length2

Characters and Unicode

Total characters1106
Distinct characters251
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

Unique159 ?
Unique (%)98.8%

Sample

1st row롯데칠성음료(주)
2nd row롯데제과(주)
3rd row(주)희창유업
4th row(주)진주햄
5th row오성식품공업사
ValueCountFrequency (%)
주식회사 7
 
3.9%
금강식품 2
 
1.1%
주)희창유업 2
 
1.1%
윤푸드 1
 
0.6%
주)솔테크 1
 
0.6%
젤푸드 1
 
0.6%
함금 1
 
0.6%
닥터와만나참좋은웰빙푸드 1
 
0.6%
이화제과(주 1
 
0.6%
주)비비에프(bbf 1
 
0.6%
Other values (160) 160
89.9%
2023-12-11T09:48:24.277187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 78
 
7.1%
( 66
 
6.0%
) 66
 
6.0%
식 54
 
4.9%
품 42
 
3.8%
드 23
 
2.1%
산 22
 
2.0%
푸 22
 
2.0%
사 20
 
1.8%
에 18
 
1.6%
Other values (241) 695
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 938
84.8%
Open Punctuation 66
 
6.0%
Close Punctuation 66
 
6.0%
Space Separator 17
 
1.5%
Uppercase Letter 7
 
0.6%
Lowercase Letter 6
 
0.5%
Decimal Number 5
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 78
 
8.3%
식 54
 
5.8%
품 42
 
4.5%
드 23
 
2.5%
산 22
 
2.3%
푸 22
 
2.3%
사 20
 
2.1%
에 18
 
1.9%
스 16
 
1.7%
이 15
 
1.6%
Other values (225) 628
67.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
S 2
28.6%
F 1
14.3%
M 1
14.3%
C 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
s 2
33.3%
m 1
16.7%
k 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
0 2
40.0%
1 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 938
84.8%
Common 155
 
14.0%
Latin 13
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 78
 
8.3%
식 54
 
5.8%
품 42
 
4.5%
드 23
 
2.5%
산 22
 
2.3%
푸 22
 
2.3%
사 20
 
2.1%
에 18
 
1.9%
스 16
 
1.7%
이 15
 
1.6%
Other values (225) 628
67.0%
Latin
ValueCountFrequency (%)
B 2
15.4%
o 2
15.4%
s 2
15.4%
S 2
15.4%
F 1
7.7%
m 1
7.7%
k 1
7.7%
M 1
7.7%
C 1
7.7%
Common
ValueCountFrequency (%)
( 66
42.6%
) 66
42.6%
17
 
11.0%
2 2
 
1.3%
0 2
 
1.3%
1 1
 
0.6%
' 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 938
84.8%
ASCII 168
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 78
 
8.3%
식 54
 
5.8%
품 42
 
4.5%
드 23
 
2.5%
산 22
 
2.3%
푸 22
 
2.3%
사 20
 
2.1%
에 18
 
1.9%
스 16
 
1.7%
이 15
 
1.6%
Other values (225) 628
67.0%
ASCII
ValueCountFrequency (%)
( 66
39.3%
) 66
39.3%
17
 
10.1%
B 2
 
1.2%
o 2
 
1.2%
2 2
 
1.2%
s 2
 
1.2%
0 2
 
1.2%
S 2
 
1.2%
F 1
 
0.6%
Other values (6) 6
 
3.6%

소재지전화
Text

MISSING 

Distinct120
Distinct (%)98.4%
Missing39
Missing (%)24.2%
Memory size1.4 KiB
2023-12-11T09:48:24.496389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02459
Min length9

Characters and Unicode

Total characters1467
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

Unique118 ?
Unique (%)96.7%

Sample

1st row055-388-5580
2nd row055-370-6114
3rd row055-911-3112
4th row055-387-5001
5th row055-365-1286
ValueCountFrequency (%)
055-389-1001 2
 
1.6%
055-365-6577 2
 
1.6%
055-365-2820 1
 
0.8%
055-367-0117 1
 
0.8%
055-366-1026 1
 
0.8%
055-384-1310 1
 
0.8%
055-383-5413 1
 
0.8%
055-372-1322 1
 
0.8%
051-514-3400 1
 
0.8%
055-781-2230 1
 
0.8%
Other values (110) 110
90.2%
2023-12-11T09:48:24.871174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 292
19.9%
- 243
16.6%
0 203
13.8%
3 161
11.0%
1 110
 
7.5%
6 98
 
6.7%
7 96
 
6.5%
8 86
 
5.9%
9 60
 
4.1%
2 60
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1224
83.4%
Dash Punctuation 243
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 292
23.9%
0 203
16.6%
3 161
13.2%
1 110
 
9.0%
6 98
 
8.0%
7 96
 
7.8%
8 86
 
7.0%
9 60
 
4.9%
2 60
 
4.9%
4 58
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 243
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1467
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 292
19.9%
- 243
16.6%
0 203
13.8%
3 161
11.0%
1 110
 
7.5%
6 98
 
6.7%
7 96
 
6.5%
8 86
 
5.9%
9 60
 
4.1%
2 60
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1467
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 292
19.9%
- 243
16.6%
0 203
13.8%
3 161
11.0%
1 110
 
7.5%
6 98
 
6.7%
7 96
 
6.5%
8 86
 
5.9%
9 60
 
4.1%
2 60
 
4.1%

소재지(도로명)
Text

Distinct158
Distinct (%)98.8%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-11T09:48:25.165544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length25.025
Min length19

Characters and Unicode

Total characters4004
Distinct characters140
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)97.5%

Sample

1st row경상남도 양산시 북정공단1길 28 (북정동)
2nd row경상남도 양산시 양산대로 1158 (산막동)
3rd row경상남도 양산시 신기로 114 (북정동)
4th row경상남도 양산시 유산공단7길 39 (유산동)
5th row경상남도 양산시 중뫼길 36 (주남동)
ValueCountFrequency (%)
경상남도 160
 
18.0%
양산시 160
 
18.0%
1층 42
 
4.7%
상북면 18
 
2.0%
하북면 16
 
1.8%
어곡동 14
 
1.6%
동면 14
 
1.6%
평산동 12
 
1.4%
주남동 11
 
1.2%
물금읍 11
 
1.2%
Other values (273) 429
48.4%
2023-12-11T09:48:25.555040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
18.2%
산 213
 
5.3%
1 198
 
4.9%
상 183
 
4.6%
남 182
 
4.5%
양 165
 
4.1%
시 160
 
4.0%
경 160
 
4.0%
도 160
 
4.0%
동 137
 
3.4%
Other values (130) 1719
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2324
58.0%
Space Separator 727
 
18.2%
Decimal Number 621
 
15.5%
Open Punctuation 103
 
2.6%
Close Punctuation 103
 
2.6%
Other Punctuation 76
 
1.9%
Dash Punctuation 45
 
1.1%
Math Symbol 4
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 213
 
9.2%
상 183
 
7.9%
남 182
 
7.8%
양 165
 
7.1%
시 160
 
6.9%
경 160
 
6.9%
도 160
 
6.9%
동 137
 
5.9%
길 89
 
3.8%
층 77
 
3.3%
Other values (113) 798
34.3%
Decimal Number
ValueCountFrequency (%)
1 198
31.9%
2 89
14.3%
3 69
 
11.1%
4 57
 
9.2%
5 49
 
7.9%
7 40
 
6.4%
6 36
 
5.8%
0 32
 
5.2%
9 26
 
4.2%
8 25
 
4.0%
Space Separator
ValueCountFrequency (%)
727
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2324
58.0%
Common 1679
41.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 213
 
9.2%
상 183
 
7.9%
남 182
 
7.8%
양 165
 
7.1%
시 160
 
6.9%
경 160
 
6.9%
도 160
 
6.9%
동 137
 
5.9%
길 89
 
3.8%
층 77
 
3.3%
Other values (113) 798
34.3%
Common
ValueCountFrequency (%)
727
43.3%
1 198
 
11.8%
( 103
 
6.1%
) 103
 
6.1%
2 89
 
5.3%
, 76
 
4.5%
3 69
 
4.1%
4 57
 
3.4%
5 49
 
2.9%
- 45
 
2.7%
Other values (6) 163
 
9.7%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2324
58.0%
ASCII 1680
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
43.3%
1 198
 
11.8%
( 103
 
6.1%
) 103
 
6.1%
2 89
 
5.3%
, 76
 
4.5%
3 69
 
4.1%
4 57
 
3.4%
5 49
 
2.9%
- 45
 
2.7%
Other values (7) 164
 
9.8%
Hangul
ValueCountFrequency (%)
산 213
 
9.2%
상 183
 
7.9%
남 182
 
7.8%
양 165
 
7.1%
시 160
 
6.9%
경 160
 
6.9%
도 160
 
6.9%
동 137
 
5.9%
길 89
 
3.8%
층 77
 
3.3%
Other values (113) 798
34.3%

소재지(지번)
Text

Distinct159
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T09:48:25.867967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length24.583851
Min length4

Characters and Unicode

Total characters3958
Distinct characters91
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)97.5%

Sample

1st row경상남도 양산시 북정동 291번지
2nd row경상남도 양산시 산막동 511번지
3rd row경상남도 양산시 북정동 291번지 8호
4th row경상남도 양산시 유산동 150번지
5th row경상남도 양산시 주남동 144번지
ValueCountFrequency (%)
경상남도 160
 
18.6%
양산시 160
 
18.6%
1호 24
 
2.8%
상북면 18
 
2.1%
하북면 16
 
1.9%
동면 15
 
1.7%
2호 14
 
1.6%
어곡동 14
 
1.6%
평산동 12
 
1.4%
7호 12
 
1.4%
Other values (229) 416
48.3%
2023-12-11T09:48:26.263815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989
25.0%
산 194
 
4.9%
상 178
 
4.5%
남 174
 
4.4%
지 168
 
4.2%
번 161
 
4.1%
시 160
 
4.0%
경 160
 
4.0%
양 160
 
4.0%
도 160
 
4.0%
Other values (81) 1454
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2292
57.9%
Space Separator 989
25.0%
Decimal Number 668
 
16.9%
Other Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 194
 
8.5%
상 178
 
7.8%
남 174
 
7.6%
지 168
 
7.3%
번 161
 
7.0%
시 160
 
7.0%
경 160
 
7.0%
양 160
 
7.0%
도 160
 
7.0%
호 124
 
5.4%
Other values (66) 653
28.5%
Decimal Number
ValueCountFrequency (%)
1 144
21.6%
2 91
13.6%
4 68
10.2%
6 58
8.7%
3 56
 
8.4%
5 55
 
8.2%
9 51
 
7.6%
0 50
 
7.5%
7 50
 
7.5%
8 45
 
6.7%
Space Separator
ValueCountFrequency (%)
989
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2292
57.9%
Common 1666
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 194
 
8.5%
상 178
 
7.8%
남 174
 
7.6%
지 168
 
7.3%
번 161
 
7.0%
시 160
 
7.0%
경 160
 
7.0%
양 160
 
7.0%
도 160
 
7.0%
호 124
 
5.4%
Other values (66) 653
28.5%
Common
ValueCountFrequency (%)
989
59.4%
1 144
 
8.6%
2 91
 
5.5%
4 68
 
4.1%
6 58
 
3.5%
3 56
 
3.4%
5 55
 
3.3%
9 51
 
3.1%
0 50
 
3.0%
7 50
 
3.0%
Other values (5) 54
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2292
57.9%
ASCII 1666
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
989
59.4%
1 144
 
8.6%
2 91
 
5.5%
4 68
 
4.1%
6 58
 
3.5%
3 56
 
3.4%
5 55
 
3.3%
9 51
 
3.1%
0 50
 
3.0%
7 50
 
3.0%
Other values (5) 54
 
3.2%
Hangul
ValueCountFrequency (%)
산 194
 
8.5%
상 178
 
7.8%
남 174
 
7.6%
지 168
 
7.3%
번 161
 
7.0%
시 160
 
7.0%
경 160
 
7.0%
양 160
 
7.0%
도 160
 
7.0%
호 124
 
5.4%
Other values (66) 653
28.5%

식품의종류
Text

Distinct119
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T09:48:26.437263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length241
Median length88
Mean length20.639752
Min length2

Characters and Unicode

Total characters3323
Distinct characters116
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

Unique102 ?
Unique (%)63.4%

Sample

1st row당시럽류,다류,커피,음료류,커피,음료류,탄산음료,탄산수,혼합음료
2nd row과자류,코코아가공품류또는초콜릿류,특수용도식품,기타식품류,규격외일반가공식품,과자류,과자,코코아가공품류또는초콜릿류
3rd row식품별기준및규격외의일반가공식품,코코아가공품류또는초콜릿류,다류,커피,음료류,기타식품류,규격외일반가공식품,덱스트린,기타식품류,규격외일반가공식품,당류가공품,유가공품
4th row과자류,식육또는알가공품,어육가공품,음료류,어육가공품,어육소시지
5th row기타식품류,장류,규격외일반가공식품,장류,곡류가공품
ValueCountFrequency (%)
기타식품류 8
 
5.0%
조미식품 7
 
4.3%
커피 7
 
4.3%
규격외일반가공식품 6
 
3.7%
빵또는떡류 4
 
2.5%
과자류,빵또는떡류 3
 
1.9%
장류 3
 
1.9%
음료류 3
 
1.9%
기타식품류,기타식품류 2
 
1.2%
기타식품류,규격외일반가공식품 2
 
1.2%
Other values (109) 116
72.0%
2023-12-11T09:48:26.744703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 430
 
12.9%
류 337
 
10.1%
품 321
 
9.7%
식 282
 
8.5%
가 152
 
4.6%
공 149
 
4.5%
기 93
 
2.8%
타 89
 
2.7%
반 83
 
2.5%
외 82
 
2.5%
Other values (106) 1305
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2887
86.9%
Other Punctuation 436
 
13.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 337
 
11.7%
품 321
 
11.1%
식 282
 
9.8%
가 152
 
5.3%
공 149
 
5.2%
기 93
 
3.2%
타 89
 
3.1%
반 83
 
2.9%
외 82
 
2.8%
일 82
 
2.8%
Other values (104) 1217
42.2%
Other Punctuation
ValueCountFrequency (%)
, 430
98.6%
. 6
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2887
86.9%
Common 436
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 337
 
11.7%
품 321
 
11.1%
식 282
 
9.8%
가 152
 
5.3%
공 149
 
5.2%
기 93
 
3.2%
타 89
 
3.1%
반 83
 
2.9%
외 82
 
2.8%
일 82
 
2.8%
Other values (104) 1217
42.2%
Common
ValueCountFrequency (%)
, 430
98.6%
. 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2887
86.9%
ASCII 436
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 430
98.6%
. 6
 
1.4%
Hangul
ValueCountFrequency (%)
류 337
 
11.7%
품 321
 
11.1%
식 282
 
9.8%
가 152
 
5.3%
공 149
 
5.2%
기 93
 
3.2%
타 89
 
3.1%
반 83
 
2.9%
외 82
 
2.8%
일 82
 
2.8%
Other values (104) 1217
42.2%

식품의유형
Text

MISSING 

Distinct131
Distinct (%)86.8%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-11T09:48:27.192799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length448
Median length85
Mean length27.827815
Min length2

Characters and Unicode

Total characters4202
Distinct characters208
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

Unique122 ?
Unique (%)80.8%

Sample

1st row액상커피,과.채주스,과.채음료,탄산음료,혼합음료,음료베이스,커피,과.채주스,과.채음료,탄산음료,탄산수,혼합음료,음료베이스
2nd row과자,과자(비스킷),과자(쿠키),과자(크래커),빙과류,코코아매스,초콜릿,밀크초콜릿,패밀리밀크초콜릿,화이트초콜릿,준초콜릿,초콜릿가공품,땅콩버터,견과류가공품,땅콩또는견과류가공품,기타가공품,기타가공품,과자,빙과류,초콜릿,밀크초콜릿,초콜릿가공품
3rd row기타가공품,기타코코아가공품,고형차,조제커피,식물성크림,당류가공품,기타가공품,기타가공품,덱스트린,식물성크림,당류가공품,기타가공품
4th row캔디류,어육소시지,어육소시지
5th row개량메주,청국장,곡류가공품,곡류가공품,개량메주,곡류가공품
ValueCountFrequency (%)
커피 7
 
4.6%
소스류 7
 
4.6%
액상차 3
 
2.0%
빵류,기타가공품 2
 
1.3%
추출가공식품 2
 
1.3%
떡류 2
 
1.3%
볶은커피 2
 
1.3%
기타가공품 2
 
1.3%
빵류 2
 
1.3%
재제소금(재제조소금),태움.용융소금,가공소금,천일염,천일염,가공소금 1
 
0.7%
Other values (122) 122
80.3%
2023-12-11T09:48:27.538957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 606
 
14.4%
품 284
 
6.8%
가 250
 
5.9%
공 232
 
5.5%
류 194
 
4.6%
기 134
 
3.2%
타 120
 
2.9%
과 92
 
2.2%
료 83
 
2.0%
식 72
 
1.7%
Other values (198) 2135
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3447
82.0%
Other Punctuation 672
 
16.0%
Open Punctuation 41
 
1.0%
Close Punctuation 41
 
1.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 284
 
8.2%
가 250
 
7.3%
공 232
 
6.7%
류 194
 
5.6%
기 134
 
3.9%
타 120
 
3.5%
과 92
 
2.7%
료 83
 
2.4%
식 72
 
2.1%
스 66
 
1.9%
Other values (193) 1920
55.7%
Other Punctuation
ValueCountFrequency (%)
, 606
90.2%
. 66
 
9.8%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3447
82.0%
Common 755
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 284
 
8.2%
가 250
 
7.3%
공 232
 
6.7%
류 194
 
5.6%
기 134
 
3.9%
타 120
 
3.5%
과 92
 
2.7%
료 83
 
2.4%
식 72
 
2.1%
스 66
 
1.9%
Other values (193) 1920
55.7%
Common
ValueCountFrequency (%)
, 606
80.3%
. 66
 
8.7%
( 41
 
5.4%
) 41
 
5.4%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3447
82.0%
ASCII 755
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 606
80.3%
. 66
 
8.7%
( 41
 
5.4%
) 41
 
5.4%
1
 
0.1%
Hangul
ValueCountFrequency (%)
품 284
 
8.2%
가 250
 
7.3%
공 232
 
6.7%
류 194
 
5.6%
기 134
 
3.9%
타 120
 
3.5%
과 92
 
2.7%
료 83
 
2.4%
식 72
 
2.1%
스 66
 
1.9%
Other values (193) 1920
55.7%

Missing values

2023-12-11T09:48:23.476758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:48:23.582766image/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.
2023-12-11T09:48:23.662814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업소명소재지전화소재지(도로명)소재지(지번)식품의종류식품의유형
0롯데칠성음료(주)055-388-5580경상남도 양산시 북정공단1길 28 (북정동)경상남도 양산시 북정동 291번지당시럽류,다류,커피,음료류,커피,음료류,탄산음료,탄산수,혼합음료액상커피,과.채주스,과.채음료,탄산음료,혼합음료,음료베이스,커피,과.채주스,과.채음료,탄산음료,탄산수,혼합음료,음료베이스
1롯데제과(주)055-370-6114경상남도 양산시 양산대로 1158 (산막동)경상남도 양산시 산막동 511번지과자류,코코아가공품류또는초콜릿류,특수용도식품,기타식품류,규격외일반가공식품,과자류,과자,코코아가공품류또는초콜릿류과자,과자(비스킷),과자(쿠키),과자(크래커),빙과류,코코아매스,초콜릿,밀크초콜릿,패밀리밀크초콜릿,화이트초콜릿,준초콜릿,초콜릿가공품,땅콩버터,견과류가공품,땅콩또는견과류가공품,기타가공품,기타가공품,과자,빙과류,초콜릿,밀크초콜릿,초콜릿가공품
2(주)희창유업055-911-3112경상남도 양산시 신기로 114 (북정동)경상남도 양산시 북정동 291번지 8호식품별기준및규격외의일반가공식품,코코아가공품류또는초콜릿류,다류,커피,음료류,기타식품류,규격외일반가공식품,덱스트린,기타식품류,규격외일반가공식품,당류가공품,유가공품기타가공품,기타코코아가공품,고형차,조제커피,식물성크림,당류가공품,기타가공품,기타가공품,덱스트린,식물성크림,당류가공품,기타가공품
3(주)진주햄055-387-5001경상남도 양산시 유산공단7길 39 (유산동)경상남도 양산시 유산동 150번지과자류,식육또는알가공품,어육가공품,음료류,어육가공품,어육소시지캔디류,어육소시지,어육소시지
4오성식품공업사055-365-1286경상남도 양산시 중뫼길 36 (주남동)경상남도 양산시 주남동 144번지기타식품류,장류,규격외일반가공식품,장류,곡류가공품개량메주,청국장,곡류가공품,곡류가공품,개량메주,곡류가공품
5대륙식품(주)055-389-1700경상남도 양산시 동면 곡리1길 11경상남도 양산시 동면 석산리 680번지 12호과자류,코코아가공품류또는초콜릿류,기타식품류,규격외일반가공식품초콜릿가공품,땅콩버터,견과류가공품,땅콩또는견과류가공품,기타가공품
6(주)엠에스씨(MSC)055-389-1001경상남도 양산시 소주회야로 45-73 (소주동)경상남도 양산시 소주동 439번지 13호혼합제제류,과자류,코코아가공품류또는초콜릿류,엿류,당시럽류,올리고당류,식육또는알가공품,두부류또는묵류,식용유지류,면류,다류,커피,음료류,특수용도식품,장류,조미식품,드레싱,젓갈류,절임식품,건포류,기타식품류,규격외일반가공식품,과자류,올리고당류,갈락토올리고당,식용유지류,다류,액상차,커피,음료류,과.채음료,혼합음료,장류,고추장,조미식품,소스류,복합조미식품,드레싱류,기타식품류,과.채가공품류,과.채가공품,규격외일반가공식품,곡류가공품,기타가공품캔디류,기타코코아가공품,기타엿,갈락토올리고당,기타올리고당,가공두부,향미유,국수,냉면,침출차,액상차,고형차,액상커피,농축과.채즙(또는과.채분),과.채주스,과.채음료,탄산음료,인삼.홍삼음료,혼합음료,음료베이스,고추장,혼합장,소스류,카레,고춧가루,천연향신료,향신료조제품,향신료조제품(기타),복합조미식품,젓갈,건어포류,과.채가공품,과.채퓨레.페이스트,식물성크림,추출가공식품,가공소금,곡류효소함유제품,과채류효소함유제품,곡류가공품,곡류가공품,두류가공품,두류가공품,서류가공품,서류가공품,전분가공품,당류가공품,당류가공품,수산물가공품,기타가공품,기타가공품,캔디류,갈락토올리고당,향미유,액상차,커피,과.채주스,과.채음료,탄산음료,유산균음료,인삼.홍삼음료,혼합음료,고추장,혼합장,소스류,카레분,천연향신료,향신료조제품,복합조미식품,드레싱,과.채가공품류,과.채가공품,한천,곡류가공품,곡류가공품,두류가공품,당류가공품,기타가공품
7(주)동원식품055-383-3121경상남도 양산시 산막공단북8길 9-3 (호계동)경상남도 양산시 호계동 857번지 7호과자류,코코아가공품류또는초콜릿류,기타식품류,규격외일반가공식품견과류가공품,땅콩또는견과류가공품,기타가공품
8농업회사법인주식회사팔보식품055-366-7966경상남도 양산시 물금읍 원동로 46-3경상남도 양산시 물금읍 물금리 530번지 2호음료류,규격외일반가공식품기타발효음료,곡류가공품,수산물가공품,기타가공품
9대성식품055-374-6000경상남도 양산시 상북면 대석1길 64경상남도 양산시 상북면 대석리 524번지 3호조미식품,기타식품류,조미식품소스류,추출가공식품,즉석조리식품,소스류
업소명소재지전화소재지(도로명)소재지(지번)식품의종류식품의유형
151디에이치에스네트웍스<NA>경상남도 양산시 동면 영천1길 12, 2층일부층경상남도 양산시 동면 여락리 90번지 12호 2층일부커피커피
152희망두레협동조합055-374-9137경상남도 양산시 상북면 상북중앙로 401, 1층일부층경상남도 양산시 상북면 석계리 34번지 51호 1층일부두부류또는묵류<NA>
153(주)다정식품<NA>경상남도 양산시 내연4길 11-40, 1층 (평산동)경상남도 양산시 평산동 273번지 1호김치류또는조림류김치,절임식품
154스모코스(smokos)<NA>경상남도 양산시 물금읍 야리1길 20, 초이스타워 1층 109호경상남도 양산시 물금읍 가촌리 1293번지 3호 초이스타워음료류커피
155(주)에프엠한울055-363-6999경상남도 양산시 영동길 52 (산막동)경상남도 양산시 산막동 448번지수산가공식품류<NA>
156농업회사법인 바로담(주)<NA>경상남도 양산시 덕계둑길 30 (덕계동)경상남도 양산시 덕계동 341번지장류개량메주
157필디저트<NA>경상남도 양산시 동면 금오12길 105, 1층경상남도 양산시 동면 석산리 1458번지 29호과자류,빵류또는떡류<NA>
158신라푸드<NA>경상남도 양산시 웅상대로 927 (평산동)경상남도 양산시 평산동 98번지 10호농산가공식품류과채가공품
159플렛<NA>경상남도 양산시 대평들4길 17 (주남동)경상남도 양산시 주남동 58번지 1호음료류<NA>
160더호떡<NA>경상남도 양산시 동면 금오12길 92, 1층경상남도 양산시 동면 석산리 1468번지 1호기타식품류<NA>