Overview

Dataset statistics

Number of variables5
Number of observations107
Missing cells48
Missing cells (%)9.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory41.2 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시 부산진구 내 등록된 식품제조가공업현황 정보제공합니다.업소명,지역,주소,전화번호등의 정보를 제공하고 있습니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15025553/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 48 (44.9%) missing valuesMissing
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:07:05.354604
Analysis finished2023-12-12 13:07:05.733682
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
식품제조가공업
107 

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 107
100.0%

Length

2023-12-12T22:07:05.787695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:07:05.861416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 107
100.0%

업소명
Text

Distinct105
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T22:07:06.088796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length6.2990654
Min length2

Characters and Unicode

Total characters674
Distinct characters234
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

Unique103 ?
Unique (%)96.3%

Sample

1st row나이스제과
2nd row일유제면
3rd row삼영식품
4th row동광식품
5th row백향식품
ValueCountFrequency (%)
동일식품 2
 
1.7%
주식회사 2
 
1.7%
로스터스 2
 
1.7%
coffee 2
 
1.7%
만덕네김치 2
 
1.7%
해조원 1
 
0.8%
정드네푸드 1
 
0.8%
경북농축산 1
 
0.8%
bean 1
 
0.8%
브로스빈(bro's 1
 
0.8%
Other values (105) 105
87.5%
2023-12-12T22:07:06.464946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 30
 
4.5%
품 27
 
4.0%
스 26
 
3.9%
이 21
 
3.1%
) 21
 
3.1%
( 21
 
3.1%
주 17
 
2.5%
드 17
 
2.5%
피 14
 
2.1%
푸 14
 
2.1%
Other values (224) 466
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
84.1%
Uppercase Letter 23
 
3.4%
Close Punctuation 21
 
3.1%
Open Punctuation 21
 
3.1%
Lowercase Letter 18
 
2.7%
Space Separator 13
 
1.9%
Decimal Number 9
 
1.3%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 30
 
5.3%
품 27
 
4.8%
스 26
 
4.6%
이 21
 
3.7%
주 17
 
3.0%
드 17
 
3.0%
피 14
 
2.5%
푸 14
 
2.5%
커 14
 
2.5%
제 12
 
2.1%
Other values (189) 375
66.1%
Uppercase Letter
ValueCountFrequency (%)
O 5
21.7%
F 3
13.0%
E 2
 
8.7%
C 2
 
8.7%
J 2
 
8.7%
M 2
 
8.7%
N 1
 
4.3%
L 1
 
4.3%
T 1
 
4.3%
R 1
 
4.3%
Other values (3) 3
13.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
16.7%
e 3
16.7%
f 2
11.1%
n 2
11.1%
b 2
11.1%
a 1
 
5.6%
s 1
 
5.6%
r 1
 
5.6%
c 1
 
5.6%
h 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
0 2
22.2%
1 1
 
11.1%
9 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
84.1%
Common 66
 
9.8%
Latin 41
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 30
 
5.3%
품 27
 
4.8%
스 26
 
4.6%
이 21
 
3.7%
주 17
 
3.0%
드 17
 
3.0%
피 14
 
2.5%
푸 14
 
2.5%
커 14
 
2.5%
제 12
 
2.1%
Other values (189) 375
66.1%
Latin
ValueCountFrequency (%)
O 5
 
12.2%
F 3
 
7.3%
o 3
 
7.3%
e 3
 
7.3%
E 2
 
4.9%
C 2
 
4.9%
J 2
 
4.9%
f 2
 
4.9%
n 2
 
4.9%
M 2
 
4.9%
Other values (14) 15
36.6%
Common
ValueCountFrequency (%)
) 21
31.8%
( 21
31.8%
13
19.7%
2 3
 
4.5%
0 2
 
3.0%
' 1
 
1.5%
1 1
 
1.5%
9 1
 
1.5%
4 1
 
1.5%
6 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
84.1%
ASCII 107
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 30
 
5.3%
품 27
 
4.8%
스 26
 
4.6%
이 21
 
3.7%
주 17
 
3.0%
드 17
 
3.0%
피 14
 
2.5%
푸 14
 
2.5%
커 14
 
2.5%
제 12
 
2.1%
Other values (189) 375
66.1%
ASCII
ValueCountFrequency (%)
) 21
19.6%
( 21
19.6%
13
12.1%
O 5
 
4.7%
F 3
 
2.8%
o 3
 
2.8%
2 3
 
2.8%
e 3
 
2.8%
E 2
 
1.9%
C 2
 
1.9%
Other values (25) 31
29.0%

소재지(도로명)
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T22:07:06.711198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length47
Mean length33.635514
Min length24

Characters and Unicode

Total characters3599
Distinct characters121
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

Unique107 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 당감서로100번길 119 (당감동)
2nd row부산광역시 부산진구 거제천로9번길 21 (양정동,8/2)
3rd row부산광역시 부산진구 부전로158번길 36-6 (부전동)
4th row부산광역시 부산진구 범일로154번길 45, 1층 (범천동)
5th row부산광역시 부산진구 당감로 118 (부암동, 협성피닉스타운 B상가)
ValueCountFrequency (%)
부산광역시 107
 
16.4%
부산진구 107
 
16.4%
1층 30
 
4.6%
부전동 22
 
3.4%
전포동 21
 
3.2%
지하1층 14
 
2.2%
지상1층 13
 
2.0%
당감동 11
 
1.7%
개금동 9
 
1.4%
양정동 8
 
1.2%
Other values (211) 309
47.5%
2023-12-12T22:07:07.080095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
544
 
15.1%
부 267
 
7.4%
산 215
 
6.0%
1 191
 
5.3%
동 134
 
3.7%
시 113
 
3.1%
, 111
 
3.1%
진 110
 
3.1%
( 108
 
3.0%
) 108
 
3.0%
Other values (111) 1698
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2086
58.0%
Decimal Number 604
 
16.8%
Space Separator 544
 
15.1%
Other Punctuation 112
 
3.1%
Open Punctuation 108
 
3.0%
Close Punctuation 108
 
3.0%
Dash Punctuation 35
 
1.0%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 267
 
12.8%
산 215
 
10.3%
동 134
 
6.4%
시 113
 
5.4%
진 110
 
5.3%
구 107
 
5.1%
로 107
 
5.1%
역 107
 
5.1%
광 107
 
5.1%
층 86
 
4.1%
Other values (93) 733
35.1%
Decimal Number
ValueCountFrequency (%)
1 191
31.6%
2 80
13.2%
3 60
 
9.9%
4 50
 
8.3%
8 47
 
7.8%
5 44
 
7.3%
6 37
 
6.1%
0 36
 
6.0%
7 34
 
5.6%
9 25
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 111
99.1%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
544
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2086
58.0%
Common 1512
42.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 267
 
12.8%
산 215
 
10.3%
동 134
 
6.4%
시 113
 
5.4%
진 110
 
5.3%
구 107
 
5.1%
로 107
 
5.1%
역 107
 
5.1%
광 107
 
5.1%
층 86
 
4.1%
Other values (93) 733
35.1%
Common
ValueCountFrequency (%)
544
36.0%
1 191
 
12.6%
, 111
 
7.3%
( 108
 
7.1%
) 108
 
7.1%
2 80
 
5.3%
3 60
 
4.0%
4 50
 
3.3%
8 47
 
3.1%
5 44
 
2.9%
Other values (7) 169
 
11.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2086
58.0%
ASCII 1513
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
544
36.0%
1 191
 
12.6%
, 111
 
7.3%
( 108
 
7.1%
) 108
 
7.1%
2 80
 
5.3%
3 60
 
4.0%
4 50
 
3.3%
8 47
 
3.1%
5 44
 
2.9%
Other values (8) 170
 
11.2%
Hangul
ValueCountFrequency (%)
부 267
 
12.8%
산 215
 
10.3%
동 134
 
6.4%
시 113
 
5.4%
진 110
 
5.3%
구 107
 
5.1%
로 107
 
5.1%
역 107
 
5.1%
광 107
 
5.1%
층 86
 
4.1%
Other values (93) 733
35.1%

소재지(지번)
Text

Distinct105
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T22:07:07.363510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length23.869159
Min length18

Characters and Unicode

Total characters2554
Distinct characters85
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

Unique104 ?
Unique (%)97.2%

Sample

1st row부산광역시 부산진구 당감동 785-88 T통B반
2nd row부산광역시 부산진구 양정동 359-9 T통B반 8/2
3rd row부산광역시 부산진구 부전동 347-30
4th row부산광역시 부산진구 범천동 842-13
5th row부산광역시 부산진구 부암동 560-14 T통B반 협성B상가
ValueCountFrequency (%)
부산광역시 107
22.5%
부산진구 107
22.5%
부전동 23
 
4.8%
전포동 21
 
4.4%
당감동 11
 
2.3%
양정동 10
 
2.1%
개금동 9
 
1.9%
가야동 8
 
1.7%
연지동 7
 
1.5%
부암동 7
 
1.5%
Other values (136) 166
34.9%
2023-12-12T22:07:07.845496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
476
18.6%
부 246
 
9.6%
산 214
 
8.4%
시 113
 
4.4%
동 111
 
4.3%
진 108
 
4.2%
광 107
 
4.2%
역 107
 
4.2%
구 107
 
4.2%
- 103
 
4.0%
Other values (75) 862
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
56.3%
Decimal Number 514
 
20.1%
Space Separator 476
 
18.6%
Dash Punctuation 103
 
4.0%
Uppercase Letter 11
 
0.4%
Other Punctuation 5
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 246
17.1%
산 214
14.9%
시 113
7.9%
동 111
7.7%
진 108
7.5%
광 107
7.4%
역 107
7.4%
구 107
7.4%
전 44
 
3.1%
지 21
 
1.5%
Other values (57) 261
18.1%
Decimal Number
ValueCountFrequency (%)
3 91
17.7%
1 91
17.7%
2 61
11.9%
4 48
9.3%
7 47
9.1%
0 40
7.8%
5 40
7.8%
6 37
7.2%
8 30
 
5.8%
9 29
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
T 5
45.5%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
56.3%
Common 1104
43.2%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 246
17.1%
산 214
14.9%
시 113
7.9%
동 111
7.7%
진 108
7.5%
광 107
7.4%
역 107
7.4%
구 107
7.4%
전 44
 
3.1%
지 21
 
1.5%
Other values (57) 261
18.1%
Common
ValueCountFrequency (%)
476
43.1%
- 103
 
9.3%
3 91
 
8.2%
1 91
 
8.2%
2 61
 
5.5%
4 48
 
4.3%
7 47
 
4.3%
0 40
 
3.6%
5 40
 
3.6%
6 37
 
3.4%
Other values (6) 70
 
6.3%
Latin
ValueCountFrequency (%)
B 6
54.5%
T 5
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
56.3%
ASCII 1115
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
476
42.7%
- 103
 
9.2%
3 91
 
8.2%
1 91
 
8.2%
2 61
 
5.5%
4 48
 
4.3%
7 47
 
4.2%
0 40
 
3.6%
5 40
 
3.6%
6 37
 
3.3%
Other values (8) 81
 
7.3%
Hangul
ValueCountFrequency (%)
부 246
17.1%
산 214
14.9%
시 113
7.9%
동 111
7.7%
진 108
7.5%
광 107
7.4%
역 107
7.4%
구 107
7.4%
전 44
 
3.1%
지 21
 
1.5%
Other values (57) 261
18.1%

소재지전화
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing48
Missing (%)44.9%
Memory size988.0 B
2023-12-12T22:07:08.112588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.016949
Min length14

Characters and Unicode

Total characters827
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

Unique59 ?
Unique (%)100.0%

Sample

1st row 051- 898-2029
2nd row 051- 861-7398
3rd row 051- 817-7408
4th row 051- 634-6675
5th row 051- 806-0677
ValueCountFrequency (%)
051 53
37.3%
070 5
 
3.5%
808 2
 
1.4%
817 2
 
1.4%
804 2
 
1.4%
9228 1
 
0.7%
898 1
 
0.7%
0622 1
 
0.7%
1005 1
 
0.7%
895 1
 
0.7%
Other values (73) 73
51.4%
2023-12-12T22:07:08.459931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 118
14.3%
114
13.8%
0 108
13.1%
1 94
11.4%
5 91
11.0%
8 79
9.6%
7 45
 
5.4%
9 43
 
5.2%
4 39
 
4.7%
2 37
 
4.5%
Other values (2) 59
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 595
71.9%
Dash Punctuation 118
 
14.3%
Space Separator 114
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 108
18.2%
1 94
15.8%
5 91
15.3%
8 79
13.3%
7 45
7.6%
9 43
 
7.2%
4 39
 
6.6%
2 37
 
6.2%
3 31
 
5.2%
6 28
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Space Separator
ValueCountFrequency (%)
114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 118
14.3%
114
13.8%
0 108
13.1%
1 94
11.4%
5 91
11.0%
8 79
9.6%
7 45
 
5.4%
9 43
 
5.2%
4 39
 
4.7%
2 37
 
4.5%
Other values (2) 59
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 118
14.3%
114
13.8%
0 108
13.1%
1 94
11.4%
5 91
11.0%
8 79
9.6%
7 45
 
5.4%
9 43
 
5.2%
4 39
 
4.7%
2 37
 
4.5%
Other values (2) 59
7.1%

Missing values

2023-12-12T22:07:05.606220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:07:05.701352image/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)소재지(지번)소재지전화
0식품제조가공업나이스제과부산광역시 부산진구 당감서로100번길 119 (당감동)부산광역시 부산진구 당감동 785-88 T통B반051- 898-2029
1식품제조가공업일유제면부산광역시 부산진구 거제천로9번길 21 (양정동,8/2)부산광역시 부산진구 양정동 359-9 T통B반 8/2051- 861-7398
2식품제조가공업삼영식품부산광역시 부산진구 부전로158번길 36-6 (부전동)부산광역시 부산진구 부전동 347-30051- 817-7408
3식품제조가공업동광식품부산광역시 부산진구 범일로154번길 45, 1층 (범천동)부산광역시 부산진구 범천동 842-13051- 634-6675
4식품제조가공업백향식품부산광역시 부산진구 당감로 118 (부암동, 협성피닉스타운 B상가)부산광역시 부산진구 부암동 560-14 T통B반 협성B상가051- 806-0677
5식품제조가공업동일식품부산광역시 부산진구 신암로25번길 9 (범천동)부산광역시 부산진구 범천동 1291-11 T통B반051- 645-7058
6식품제조가공업제일제면부산광역시 부산진구 냉정로 171-13 (개금동)부산광역시 부산진구 개금동 527-12051- 894-4616
7식품제조가공업조은김치부산광역시 부산진구 전포대로176번길 26, 지상1,지하1층 (전포동)부산광역시 부산진구 전포동 360-21051- 807-9890
8식품제조가공업대덕식품부산광역시 부산진구 새싹로 207-6 (초읍동)부산광역시 부산진구 초읍동 271-6051- 817-9843
9식품제조가공업수미식품부산광역시 부산진구 부전로174번길 41 (부전동)부산광역시 부산진구 부전동 341-7051- 819-8094
업종명업소명소재지(도로명)소재지(지번)소재지전화
97식품제조가공업(주)케이가꿈부산광역시 부산진구 동평로39번길 64, 지하1층 (당감동)부산광역시 부산진구 당감동 636-12051 -808 -0622
98식품제조가공업깡스건푸드마켓부산광역시 부산진구 동평로100번길 14, 1층 (당감동)부산광역시 부산진구 당감동 269-2<NA>
99식품제조가공업루코(LOOCO)부산광역시 부산진구 전포대로223번길 14-1, 1층 (전포동)부산광역시 부산진구 전포동 671-5<NA>
100식품제조가공업코티지씨부산광역시 부산진구 서전로58번길 15, 4층 (전포동)부산광역시 부산진구 전포동 300-55<NA>
101식품제조가공업브랜드비부산광역시 부산진구 중앙대로666번길 17, 7층 (부전동)부산광역시 부산진구 부전동 226-9<NA>
102식품제조가공업온가족사랑 식품부산광역시 부산진구 부전로174번길 14-1, 1층 (부전동)부산광역시 부산진구 부전동 345-5<NA>
103식품제조가공업리크 로스터스부산광역시 부산진구 진남로 509, 1층 (양정동)부산광역시 부산진구 양정동 356-19<NA>
104식품제조가공업해조원부산광역시 부산진구 부전로162번길 28, 서면종합상가시장 지하1층 298-300,338-340,380-385호 (부전동)부산광역시 부산진구 부전동 347-40 서면종합상가시장<NA>
105식품제조가공업제이엠(JM)상사부산광역시 부산진구 동평로 350, 양정현대프라자 2층 210호 (양정동)부산광역시 부산진구 양정동 511-3 양정현대프라자<NA>
106식품제조가공업히얼이즈푸드부산광역시 부산진구 동성로96번길 22, 1층 일부 (전포동)부산광역시 부산진구 전포동 187-53 1층 일부070 -8803-2347