Overview

Dataset statistics

Number of variables5
Number of observations115
Missing cells54
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory41.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시부산진구식품제조가공업현황_20221018
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025553

Alerts

업종명 has constant value ""Constant
소재지전화 has 54 (47.0%) missing valuesMissing
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:27:00.375674
Analysis finished2023-12-10 17:27:01.249543
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
식품제조가공업
115 

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 115
100.0%

Length

2023-12-11T02:27:01.408811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:27:01.620167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 115
100.0%

업소명
Text

Distinct113
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T02:27:02.005169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length6.2173913
Min length2

Characters and Unicode

Total characters715
Distinct characters242
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

Unique111 ?
Unique (%)96.5%

Sample

1st row나이스제과
2nd row일유제면
3rd row삼영식품
4th row동광식품
5th row백향식품
ValueCountFrequency (%)
주식회사 4
 
3.1%
만덕네김치 2
 
1.6%
에스프레소 2
 
1.6%
coffee 2
 
1.6%
동일식품 2
 
1.6%
루코(looco 1
 
0.8%
깡스건푸드마켓 1
 
0.8%
bean 1
 
0.8%
브로스빈(bro's 1
 
0.8%
트레져스 1
 
0.8%
Other values (110) 110
86.6%
2023-12-11T02:27:02.805360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 34
 
4.8%
품 29
 
4.1%
스 24
 
3.4%
이 22
 
3.1%
) 21
 
2.9%
( 21
 
2.9%
주 20
 
2.8%
드 16
 
2.2%
커 15
 
2.1%
피 14
 
2.0%
Other values (232) 499
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 609
85.2%
Close Punctuation 21
 
2.9%
Open Punctuation 21
 
2.9%
Uppercase Letter 21
 
2.9%
Lowercase Letter 18
 
2.5%
Space Separator 12
 
1.7%
Decimal Number 11
 
1.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 34
 
5.6%
품 29
 
4.8%
스 24
 
3.9%
이 22
 
3.6%
주 20
 
3.3%
드 16
 
2.6%
커 15
 
2.5%
피 14
 
2.3%
푸 14
 
2.3%
제 14
 
2.3%
Other values (195) 407
66.8%
Uppercase Letter
ValueCountFrequency (%)
O 5
23.8%
F 3
14.3%
C 2
 
9.5%
E 2
 
9.5%
T 1
 
4.8%
N 1
 
4.8%
R 1
 
4.8%
L 1
 
4.8%
B 1
 
4.8%
M 1
 
4.8%
Other values (3) 3
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
16.7%
o 3
16.7%
f 2
11.1%
n 2
11.1%
b 2
11.1%
r 1
 
5.6%
s 1
 
5.6%
a 1
 
5.6%
t 1
 
5.6%
h 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 3
27.3%
0 2
18.2%
9 1
 
9.1%
4 1
 
9.1%
6 1
 
9.1%
1 1
 
9.1%
3 1
 
9.1%
8 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
85.2%
Common 67
 
9.4%
Latin 39
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 34
 
5.6%
품 29
 
4.8%
스 24
 
3.9%
이 22
 
3.6%
주 20
 
3.3%
드 16
 
2.6%
커 15
 
2.5%
피 14
 
2.3%
푸 14
 
2.3%
제 14
 
2.3%
Other values (195) 407
66.8%
Latin
ValueCountFrequency (%)
O 5
 
12.8%
e 3
 
7.7%
o 3
 
7.7%
F 3
 
7.7%
C 2
 
5.1%
f 2
 
5.1%
n 2
 
5.1%
b 2
 
5.1%
E 2
 
5.1%
T 1
 
2.6%
Other values (14) 14
35.9%
Common
ValueCountFrequency (%)
) 21
31.3%
( 21
31.3%
12
17.9%
2 3
 
4.5%
0 2
 
3.0%
' 1
 
1.5%
& 1
 
1.5%
9 1
 
1.5%
4 1
 
1.5%
6 1
 
1.5%
Other values (3) 3
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
85.2%
ASCII 106
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 34
 
5.6%
품 29
 
4.8%
스 24
 
3.9%
이 22
 
3.6%
주 20
 
3.3%
드 16
 
2.6%
커 15
 
2.5%
피 14
 
2.3%
푸 14
 
2.3%
제 14
 
2.3%
Other values (195) 407
66.8%
ASCII
ValueCountFrequency (%)
) 21
19.8%
( 21
19.8%
12
 
11.3%
O 5
 
4.7%
e 3
 
2.8%
o 3
 
2.8%
2 3
 
2.8%
F 3
 
2.8%
C 2
 
1.9%
f 2
 
1.9%
Other values (27) 31
29.2%

소재지(도로명)
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T02:27:03.301553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length44
Mean length33.356522
Min length24

Characters and Unicode

Total characters3836
Distinct characters128
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

Unique115 ?
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 115
 
16.5%
부산진구 115
 
16.5%
1층 29
 
4.2%
전포동 28
 
4.0%
부전동 19
 
2.7%
지하1층 15
 
2.2%
지상1층 14
 
2.0%
당감동 12
 
1.7%
개금동 10
 
1.4%
가야동 8
 
1.1%
Other values (223) 331
47.6%
2023-12-11T02:27:04.079576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
581
 
15.1%
부 277
 
7.2%
산 231
 
6.0%
1 202
 
5.3%
동 143
 
3.7%
시 120
 
3.1%
) 118
 
3.1%
( 118
 
3.1%
진 117
 
3.1%
광 116
 
3.0%
Other values (118) 1813
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2235
58.3%
Decimal Number 633
 
16.5%
Space Separator 581
 
15.1%
Close Punctuation 118
 
3.1%
Open Punctuation 118
 
3.1%
Other Punctuation 117
 
3.1%
Dash Punctuation 32
 
0.8%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 277
 
12.4%
산 231
 
10.3%
동 143
 
6.4%
시 120
 
5.4%
진 117
 
5.2%
광 116
 
5.2%
역 115
 
5.1%
구 115
 
5.1%
로 115
 
5.1%
층 91
 
4.1%
Other values (100) 795
35.6%
Decimal Number
ValueCountFrequency (%)
1 202
31.9%
2 88
13.9%
3 62
 
9.8%
4 53
 
8.4%
8 51
 
8.1%
5 43
 
6.8%
6 36
 
5.7%
0 36
 
5.7%
7 31
 
4.9%
9 31
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 116
99.1%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
581
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2235
58.3%
Common 1600
41.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 277
 
12.4%
산 231
 
10.3%
동 143
 
6.4%
시 120
 
5.4%
진 117
 
5.2%
광 116
 
5.2%
역 115
 
5.1%
구 115
 
5.1%
로 115
 
5.1%
층 91
 
4.1%
Other values (100) 795
35.6%
Common
ValueCountFrequency (%)
581
36.3%
1 202
 
12.6%
) 118
 
7.4%
( 118
 
7.4%
, 116
 
7.2%
2 88
 
5.5%
3 62
 
3.9%
4 53
 
3.3%
8 51
 
3.2%
5 43
 
2.7%
Other values (7) 168
 
10.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2235
58.3%
ASCII 1601
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
581
36.3%
1 202
 
12.6%
) 118
 
7.4%
( 118
 
7.4%
, 116
 
7.2%
2 88
 
5.5%
3 62
 
3.9%
4 53
 
3.3%
8 51
 
3.2%
5 43
 
2.7%
Other values (8) 169
 
10.6%
Hangul
ValueCountFrequency (%)
부 277
 
12.4%
산 231
 
10.3%
동 143
 
6.4%
시 120
 
5.4%
진 117
 
5.2%
광 116
 
5.2%
역 115
 
5.1%
구 115
 
5.1%
로 115
 
5.1%
층 91
 
4.1%
Other values (100) 795
35.6%

소재지(지번)
Text

Distinct114
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T02:27:04.728649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length23.782609
Min length18

Characters and Unicode

Total characters2735
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

Unique113 ?
Unique (%)98.3%

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 115
22.5%
부산진구 115
22.5%
전포동 28
 
5.5%
부전동 20
 
3.9%
당감동 12
 
2.4%
개금동 10
 
2.0%
범천동 8
 
1.6%
양정동 8
 
1.6%
가야동 8
 
1.6%
연지동 7
 
1.4%
Other values (146) 179
35.1%
2023-12-11T02:27:05.687912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
18.6%
부 258
 
9.4%
산 230
 
8.4%
시 120
 
4.4%
동 119
 
4.4%
진 116
 
4.2%
역 115
 
4.2%
구 115
 
4.2%
광 115
 
4.2%
- 110
 
4.0%
Other values (77) 927
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1540
56.3%
Decimal Number 549
 
20.1%
Space Separator 510
 
18.6%
Dash Punctuation 110
 
4.0%
Uppercase Letter 11
 
0.4%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 258
16.8%
산 230
14.9%
시 120
7.8%
동 119
7.7%
진 116
7.5%
역 115
7.5%
구 115
7.5%
광 115
7.5%
전 49
 
3.2%
포 28
 
1.8%
Other values (59) 275
17.9%
Decimal Number
ValueCountFrequency (%)
1 98
17.9%
3 94
17.1%
2 64
11.7%
4 48
8.7%
7 47
8.6%
0 44
8.0%
6 44
8.0%
5 42
7.7%
8 35
 
6.4%
9 33
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
T 5
45.5%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1540
56.3%
Common 1184
43.3%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 258
16.8%
산 230
14.9%
시 120
7.8%
동 119
7.7%
진 116
7.5%
역 115
7.5%
구 115
7.5%
광 115
7.5%
전 49
 
3.2%
포 28
 
1.8%
Other values (59) 275
17.9%
Common
ValueCountFrequency (%)
510
43.1%
- 110
 
9.3%
1 98
 
8.3%
3 94
 
7.9%
2 64
 
5.4%
4 48
 
4.1%
7 47
 
4.0%
0 44
 
3.7%
6 44
 
3.7%
5 42
 
3.5%
Other values (6) 83
 
7.0%
Latin
ValueCountFrequency (%)
B 6
54.5%
T 5
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1540
56.3%
ASCII 1195
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
510
42.7%
- 110
 
9.2%
1 98
 
8.2%
3 94
 
7.9%
2 64
 
5.4%
4 48
 
4.0%
7 47
 
3.9%
0 44
 
3.7%
6 44
 
3.7%
5 42
 
3.5%
Other values (8) 94
 
7.9%
Hangul
ValueCountFrequency (%)
부 258
16.8%
산 230
14.9%
시 120
7.8%
동 119
7.7%
진 116
7.5%
역 115
7.5%
구 115
7.5%
광 115
7.5%
전 49
 
3.2%
포 28
 
1.8%
Other values (59) 275
17.9%

소재지전화
Text

MISSING 

Distinct61
Distinct (%)100.0%
Missing54
Missing (%)47.0%
Memory size1.0 KiB
2023-12-11T02:27:06.184841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.967213
Min length12

Characters and Unicode

Total characters852
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

Unique61 ?
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 56
37.6%
070 4
 
2.7%
804 2
 
1.3%
803 2
 
1.3%
808 2
 
1.3%
817 2
 
1.3%
9235 1
 
0.7%
504 1
 
0.7%
7855 1
 
0.7%
4216-3152 1
 
0.7%
Other values (77) 77
51.7%
2023-12-11T02:27:07.609621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 122
14.3%
116
13.6%
0 109
12.8%
1 104
12.2%
5 94
11.0%
8 80
9.4%
7 45
 
5.3%
9 44
 
5.2%
4 40
 
4.7%
2 37
 
4.3%
Other values (2) 61
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 614
72.1%
Dash Punctuation 122
 
14.3%
Space Separator 116
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 109
17.8%
1 104
16.9%
5 94
15.3%
8 80
13.0%
7 45
7.3%
9 44
7.2%
4 40
 
6.5%
2 37
 
6.0%
3 31
 
5.0%
6 30
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 122
14.3%
116
13.6%
0 109
12.8%
1 104
12.2%
5 94
11.0%
8 80
9.4%
7 45
 
5.3%
9 44
 
5.2%
4 40
 
4.7%
2 37
 
4.3%
Other values (2) 61
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 122
14.3%
116
13.6%
0 109
12.8%
1 104
12.2%
5 94
11.0%
8 80
9.4%
7 45
 
5.3%
9 44
 
5.2%
4 40
 
4.7%
2 37
 
4.3%
Other values (2) 61
7.2%

Missing values

2023-12-11T02:27:00.911981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:27:01.149246image/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
7식품제조가공업천일산업부산광역시 부산진구 중앙대로824번길 23 (전포동)부산광역시 부산진구 전포동 550-8051- 818-1001
8식품제조가공업조은김치부산광역시 부산진구 전포대로176번길 26, 지상1,지하1층 (전포동)부산광역시 부산진구 전포동 360-21051- 807-9890
9식품제조가공업대덕식품부산광역시 부산진구 새싹로 207-6 (초읍동)부산광역시 부산진구 초읍동 271-6051- 817-9843
업종명업소명소재지(도로명)소재지(지번)소재지전화
105식품제조가공업주식회사 제로나인에이치부산광역시 부산진구 동성로 143, 신우빌딩 3층 318호 (전포동)부산광역시 부산진구 전포동 608-1 신우빌딩<NA>
106식품제조가공업주식회사 푸른금파부산광역시 부산진구 백양순환로164번가길 17, 1,2층 (당감동)부산광역시 부산진구 당감동 316-3<NA>
107식품제조가공업제이제이실업부산광역시 부산진구 백양관문로 105-32, 당감동일스위트 상가1동 1층 109,110호 (당감동)부산광역시 부산진구 당감동 807-4 당감동일스위트<NA>
108식품제조가공업(주)경성푸드코리아부산광역시 부산진구 동천로 121, 2층 (부전동)부산광역시 부산진구 부전동 100-6<NA>
109식품제조가공업서민불닭발부산광역시 부산진구 동평로291번길 19, 1층 (연지동)부산광역시 부산진구 연지동 38-45<NA>
110식품제조가공업(주)케이가꿈부산광역시 부산진구 동평로39번길 64, 지하1층 (당감동)부산광역시 부산진구 당감동 636-12051 -808 -0622
111식품제조가공업깡스건푸드마켓부산광역시 부산진구 동평로100번길 14, 1층 (당감동)부산광역시 부산진구 당감동 269-2<NA>
112식품제조가공업루코(LOOCO)부산광역시 부산진구 전포대로223번길 14-1, 1층 (전포동)부산광역시 부산진구 전포동 671-5<NA>
113식품제조가공업코티지씨부산광역시 부산진구 서전로58번길 15, 4층 (전포동)부산광역시 부산진구 전포동 300-55<NA>
114식품제조가공업보미푸드부산광역시 부산진구 새싹로 285, 4층 (초읍동)부산광역시 부산진구 초읍동 292-10<NA>