Overview

Dataset statistics

Number of variables4
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory35.4 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 연제구 식품제조가공업체 현황 정보(업소명, 소재지, 전화번호)를 제공합니다. (2023. 10. 27.기준)
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15047915/fileData.do

Alerts

업종명 has constant value ""Constant
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:59:05.327163
Analysis finished2023-12-12 03:59:05.681877
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
식품제조가공업
39 

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 39
100.0%

Length

2023-12-12T12:59:05.750496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:59:05.858320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 39
100.0%

업소명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T12:59:06.086407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.7692308
Min length2

Characters and Unicode

Total characters225
Distinct characters120
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

Unique39 ?
Unique (%)100.0%

Sample

1st row루이
2nd row부경식품
3rd row성원식품
4th row일품식품
5th row민진로스팅
ValueCountFrequency (%)
루이 1
 
2.4%
고담 1
 
2.4%
커피 1
 
2.4%
ms(명성)바이오 1
 
2.4%
주)상하에프앤비 1
 
2.4%
밥애반찬협동조합 1
 
2.4%
인투인푸드 1
 
2.4%
창창유통 1
 
2.4%
아임군 1
 
2.4%
조아커피 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T12:59:06.558225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 8
 
3.6%
식 8
 
3.6%
피 7
 
3.1%
) 7
 
3.1%
스 7
 
3.1%
( 7
 
3.1%
푸 6
 
2.7%
드 6
 
2.7%
커 6
 
2.7%
E 5
 
2.2%
Other values (110) 158
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
80.0%
Uppercase Letter 27
 
12.0%
Close Punctuation 7
 
3.1%
Open Punctuation 7
 
3.1%
Space Separator 3
 
1.3%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 8
 
4.4%
식 8
 
4.4%
피 7
 
3.9%
스 7
 
3.9%
푸 6
 
3.3%
드 6
 
3.3%
커 6
 
3.3%
이 5
 
2.8%
주 4
 
2.2%
창 3
 
1.7%
Other values (93) 120
66.7%
Uppercase Letter
ValueCountFrequency (%)
E 5
18.5%
O 4
14.8%
S 4
14.8%
N 2
 
7.4%
M 2
 
7.4%
C 2
 
7.4%
F 2
 
7.4%
A 1
 
3.7%
K 1
 
3.7%
G 1
 
3.7%
Other values (3) 3
11.1%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
80.0%
Latin 27
 
12.0%
Common 18
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 8
 
4.4%
식 8
 
4.4%
피 7
 
3.9%
스 7
 
3.9%
푸 6
 
3.3%
드 6
 
3.3%
커 6
 
3.3%
이 5
 
2.8%
주 4
 
2.2%
창 3
 
1.7%
Other values (93) 120
66.7%
Latin
ValueCountFrequency (%)
E 5
18.5%
O 4
14.8%
S 4
14.8%
N 2
 
7.4%
M 2
 
7.4%
C 2
 
7.4%
F 2
 
7.4%
A 1
 
3.7%
K 1
 
3.7%
G 1
 
3.7%
Other values (3) 3
11.1%
Common
ValueCountFrequency (%)
) 7
38.9%
( 7
38.9%
3
16.7%
2 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
80.0%
ASCII 45
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 8
 
4.4%
식 8
 
4.4%
피 7
 
3.9%
스 7
 
3.9%
푸 6
 
3.3%
드 6
 
3.3%
커 6
 
3.3%
이 5
 
2.8%
주 4
 
2.2%
창 3
 
1.7%
Other values (93) 120
66.7%
ASCII
ValueCountFrequency (%)
) 7
15.6%
( 7
15.6%
E 5
11.1%
O 4
8.9%
S 4
8.9%
3
6.7%
N 2
 
4.4%
M 2
 
4.4%
C 2
 
4.4%
F 2
 
4.4%
Other values (7) 7
15.6%

소재지(도로명)
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T12:59:06.931109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length30.717949
Min length23

Characters and Unicode

Total characters1198
Distinct characters92
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

Unique39 ?
Unique (%)100.0%

Sample

1st row부산광역시 연제구 중앙천로 47, 2층 (연산동)
2nd row부산광역시 연제구 마곡천로30번길 30, 1층 (연산동)
3rd row부산광역시 연제구 쌍미천로16번길 17 (연산동,남정해바라기맨션 상가 1호)
4th row부산광역시 연제구 월드컵대로46번길 33 (연산동)
5th row부산광역시 연제구 거제대로 296, 대승 아이티빌딩 1층 (거제동)
ValueCountFrequency (%)
부산광역시 39
16.6%
연제구 39
16.6%
연산동 21
 
8.9%
거제동 13
 
5.5%
1층 13
 
5.5%
2층 5
 
2.1%
지하1층 3
 
1.3%
과정로 2
 
0.9%
30 2
 
0.9%
41 2
 
0.9%
Other values (88) 96
40.9%
2023-12-12T12:59:07.395704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
16.4%
연 66
 
5.5%
산 64
 
5.3%
제 63
 
5.3%
1 57
 
4.8%
시 41
 
3.4%
부 40
 
3.3%
로 40
 
3.3%
( 40
 
3.3%
역 40
 
3.3%
Other values (82) 551
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 707
59.0%
Space Separator 196
 
16.4%
Decimal Number 179
 
14.9%
Open Punctuation 40
 
3.3%
Close Punctuation 40
 
3.3%
Other Punctuation 32
 
2.7%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 66
 
9.3%
산 64
 
9.1%
제 63
 
8.9%
시 41
 
5.8%
부 40
 
5.7%
로 40
 
5.7%
역 40
 
5.7%
동 39
 
5.5%
구 39
 
5.5%
광 39
 
5.5%
Other values (67) 236
33.4%
Decimal Number
ValueCountFrequency (%)
1 57
31.8%
3 25
14.0%
2 25
14.0%
4 16
 
8.9%
0 13
 
7.3%
7 11
 
6.1%
6 11
 
6.1%
5 9
 
5.0%
9 8
 
4.5%
8 4
 
2.2%
Space Separator
ValueCountFrequency (%)
196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 707
59.0%
Common 491
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 66
 
9.3%
산 64
 
9.1%
제 63
 
8.9%
시 41
 
5.8%
부 40
 
5.7%
로 40
 
5.7%
역 40
 
5.7%
동 39
 
5.5%
구 39
 
5.5%
광 39
 
5.5%
Other values (67) 236
33.4%
Common
ValueCountFrequency (%)
196
39.9%
1 57
 
11.6%
( 40
 
8.1%
) 40
 
8.1%
, 32
 
6.5%
3 25
 
5.1%
2 25
 
5.1%
4 16
 
3.3%
0 13
 
2.6%
7 11
 
2.2%
Other values (5) 36
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 707
59.0%
ASCII 491
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
39.9%
1 57
 
11.6%
( 40
 
8.1%
) 40
 
8.1%
, 32
 
6.5%
3 25
 
5.1%
2 25
 
5.1%
4 16
 
3.3%
0 13
 
2.6%
7 11
 
2.2%
Other values (5) 36
 
7.3%
Hangul
ValueCountFrequency (%)
연 66
 
9.3%
산 64
 
9.1%
제 63
 
8.9%
시 41
 
5.8%
부 40
 
5.7%
로 40
 
5.7%
역 40
 
5.7%
동 39
 
5.5%
구 39
 
5.5%
광 39
 
5.5%
Other values (67) 236
33.4%

소재지전화
Text

Distinct21
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T12:59:07.637077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.564103
Min length7

Characters and Unicode

Total characters412
Distinct characters18
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

Unique20 ?
Unique (%)51.3%

Sample

1st row070 -8802-3036
2nd row데이터 부존재
3rd row 051- 852-1005
4th row051 -852 -0010
5th row 070-7721-5955
ValueCountFrequency (%)
데이터 19
21.1%
부존재 19
21.1%
051 16
17.8%
070 3
 
3.3%
853 2
 
2.2%
9292 2
 
2.2%
6860 1
 
1.1%
861 1
 
1.1%
2210 1
 
1.1%
927 1
 
1.1%
Other values (25) 25
27.8%
2023-12-12T12:59:07.993456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
13.1%
- 40
 
9.7%
0 40
 
9.7%
5 36
 
8.7%
1 27
 
6.6%
2 25
 
6.1%
7 20
 
4.9%
이 19
 
4.6%
8 19
 
4.6%
데 19
 
4.6%
Other values (8) 113
27.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
49.5%
Other Letter 114
27.7%
Space Separator 54
 
13.1%
Dash Punctuation 40
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
19.6%
5 36
17.6%
1 27
13.2%
2 25
12.3%
7 20
9.8%
8 19
9.3%
3 12
 
5.9%
6 10
 
4.9%
9 9
 
4.4%
4 6
 
2.9%
Other Letter
ValueCountFrequency (%)
이 19
16.7%
데 19
16.7%
재 19
16.7%
존 19
16.7%
부 19
16.7%
터 19
16.7%
Space Separator
ValueCountFrequency (%)
54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 298
72.3%
Hangul 114
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
54
18.1%
- 40
13.4%
0 40
13.4%
5 36
12.1%
1 27
9.1%
2 25
8.4%
7 20
 
6.7%
8 19
 
6.4%
3 12
 
4.0%
6 10
 
3.4%
Other values (2) 15
 
5.0%
Hangul
ValueCountFrequency (%)
이 19
16.7%
데 19
16.7%
재 19
16.7%
존 19
16.7%
부 19
16.7%
터 19
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 298
72.3%
Hangul 114
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
18.1%
- 40
13.4%
0 40
13.4%
5 36
12.1%
1 27
9.1%
2 25
8.4%
7 20
 
6.7%
8 19
 
6.4%
3 12
 
4.0%
6 10
 
3.4%
Other values (2) 15
 
5.0%
Hangul
ValueCountFrequency (%)
이 19
16.7%
데 19
16.7%
재 19
16.7%
존 19
16.7%
부 19
16.7%
터 19
16.7%

Correlations

2023-12-12T12:59:08.125494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0001.0001.000
소재지(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-12T12:59:05.544446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:59:05.648633image/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

업종명업소명소재지(도로명)소재지전화
0식품제조가공업루이부산광역시 연제구 중앙천로 47, 2층 (연산동)070 -8802-3036
1식품제조가공업부경식품부산광역시 연제구 마곡천로30번길 30, 1층 (연산동)데이터 부존재
2식품제조가공업성원식품부산광역시 연제구 쌍미천로16번길 17 (연산동,남정해바라기맨션 상가 1호)051- 852-1005
3식품제조가공업일품식품부산광역시 연제구 월드컵대로46번길 33 (연산동)051 -852 -0010
4식품제조가공업민진로스팅부산광역시 연제구 거제대로 296, 대승 아이티빌딩 1층 (거제동)070-7721-5955
5식품제조가공업김마루부산광역시 연제구 고분로 95, 1층 (연산동)070 -8712-8483
6식품제조가공업라파식품부산광역시 연제구 거제시장로 21 (거제동,(3층))051 -853 -2678
7식품제조가공업(주)홀썸부산광역시 연제구 법원남로9번길 17, 거제역 2층 (거제동)데이터 부존재
8식품제조가공업바른창업연구소부산광역시 연제구 대리로22번길 30, 1층 (연산동)데이터 부존재
9식품제조가공업미쁘캐나비스바이오부산광역시 연제구 과정로276번가길 16 (연산동)데이터 부존재
업종명업소명소재지(도로명)소재지전화
29식품제조가공업(주)동심컴퍼니(제2공장)부산광역시 연제구 연수로 193-1, 1층 (연산동)데이터 부존재
30식품제조가공업산해들부산광역시 연제구 화지로76번길 13, 지하1층 일부호 (거제동)051 -861 -2210
31식품제조가공업주식회사 한끼푸드부산광역시 연제구 반송로 33, 샤르망라이프 3층 304호 (연산동)데이터 부존재
32식품제조가공업피엔스커피부산광역시 연제구 월드컵대로 190, 1층 (거제동)데이터 부존재
33식품제조가공업우현식품부산광역시 연제구 중앙대로1150번길 50 (연산동)051 -927 -9292
34식품제조가공업해광ANS부산광역시 연제구 쌍미천로7번길 66 (연산동,1층)데이터 부존재
35식품제조가공업성광식품부산광역시 연제구 거제대로108번길 41 (거제동,지상1층)051 -867 -3252
36식품제조가공업깜돌이식품부산광역시 연제구 과정로251번길 6 (연산동,지상1층)051 -752 -3907
37식품제조가공업커피긱스(COFFEE GEEKS)부산광역시 연제구 교대로24번길 7 (거제동)051 -506 -7581
38식품제조가공업루트커피로스터리부산광역시 연제구 교대로 12, 1층 (거제동)070 -7352-1422