Overview

Dataset statistics

Number of variables5
Number of observations119
Missing cells62
Missing cells (%)10.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory41.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시금정구_식품제조가공업현황_20230907
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15021977

Alerts

업종명 has constant value ""Constant
소재지전화 has 62 (52.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:14:22.441927
Analysis finished2023-12-10 16:14:23.506896
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
식품제조가공업
119 

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 119
100.0%

Length

2023-12-11T01:14:23.612653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:14:23.754303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 119
100.0%

업소명
Text

Distinct117
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:14:24.093446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length17
Mean length7.6554622
Min length2

Characters and Unicode

Total characters911
Distinct characters239
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)96.6%

Sample

1st row제이쓰리푸드 주식회사
2nd row메이레(meilet)
3rd row코스피어
4th row(주)다솔코리아
5th row포스트맨초콜릿(Postman Chocolate)
ValueCountFrequency (%)
주식회사 15
 
9.4%
커피 3
 
1.9%
한톨식품 2
 
1.2%
커피로스터스 2
 
1.2%
주)이대명과 2
 
1.2%
coffee 2
 
1.2%
제빵소 2
 
1.2%
라이크댓 1
 
0.6%
로스트레이트 1
 
0.6%
로제이브커피랩 1
 
0.6%
Other values (129) 129
80.6%
2023-12-11T01:14:24.732879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
4.5%
주 40
 
4.4%
식 39
 
4.3%
( 30
 
3.3%
) 30
 
3.3%
스 29
 
3.2%
이 27
 
3.0%
사 25
 
2.7%
품 20
 
2.2%
회 20
 
2.2%
Other values (229) 610
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 717
78.7%
Lowercase Letter 69
 
7.6%
Space Separator 41
 
4.5%
Open Punctuation 30
 
3.3%
Close Punctuation 30
 
3.3%
Uppercase Letter 18
 
2.0%
Other Punctuation 5
 
0.5%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 40
 
5.6%
식 39
 
5.4%
스 29
 
4.0%
이 27
 
3.8%
사 25
 
3.5%
품 20
 
2.8%
회 20
 
2.8%
커 20
 
2.8%
푸 19
 
2.6%
피 19
 
2.6%
Other values (193) 459
64.0%
Lowercase Letter
ValueCountFrequency (%)
o 10
14.5%
e 10
14.5%
r 6
8.7%
a 6
8.7%
t 5
 
7.2%
f 5
 
7.2%
d 4
 
5.8%
s 4
 
5.8%
n 3
 
4.3%
c 3
 
4.3%
Other values (8) 13
18.8%
Uppercase Letter
ValueCountFrequency (%)
J 4
22.2%
C 3
16.7%
M 2
11.1%
U 1
 
5.6%
F 1
 
5.6%
L 1
 
5.6%
H 1
 
5.6%
W 1
 
5.6%
P 1
 
5.6%
S 1
 
5.6%
Other values (2) 2
11.1%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
· 2
40.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 717
78.7%
Common 107
 
11.7%
Latin 87
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 40
 
5.6%
식 39
 
5.4%
스 29
 
4.0%
이 27
 
3.8%
사 25
 
3.5%
품 20
 
2.8%
회 20
 
2.8%
커 20
 
2.8%
푸 19
 
2.6%
피 19
 
2.6%
Other values (193) 459
64.0%
Latin
ValueCountFrequency (%)
o 10
 
11.5%
e 10
 
11.5%
r 6
 
6.9%
a 6
 
6.9%
t 5
 
5.7%
f 5
 
5.7%
d 4
 
4.6%
J 4
 
4.6%
s 4
 
4.6%
n 3
 
3.4%
Other values (20) 30
34.5%
Common
ValueCountFrequency (%)
41
38.3%
( 30
28.0%
) 30
28.0%
& 3
 
2.8%
· 2
 
1.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 717
78.7%
ASCII 192
 
21.1%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
21.4%
( 30
15.6%
) 30
15.6%
o 10
 
5.2%
e 10
 
5.2%
r 6
 
3.1%
a 6
 
3.1%
t 5
 
2.6%
f 5
 
2.6%
d 4
 
2.1%
Other values (25) 45
23.4%
Hangul
ValueCountFrequency (%)
주 40
 
5.6%
식 39
 
5.4%
스 29
 
4.0%
이 27
 
3.8%
사 25
 
3.5%
품 20
 
2.8%
회 20
 
2.8%
커 20
 
2.8%
푸 19
 
2.6%
피 19
 
2.6%
Other values (193) 459
64.0%
None
ValueCountFrequency (%)
· 2
100.0%

소재지(도로명)
Text

Distinct115
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:14:25.271222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length28.168067
Min length21

Characters and Unicode

Total characters3352
Distinct characters106
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

Unique111 ?
Unique (%)93.3%

Sample

1st row부산광역시 금정구 금사로 160, 6층 (회동동)
2nd row부산광역시 금정구 남산로37번길 68, 3층 (남산동)
3rd row부산광역시 금정구 장전온천천로79번길 4, 1층 (장전동)
4th row부산광역시 금정구 금샘로 585 (남산동)
5th row부산광역시 금정구 오륜대로 37 (부곡동)
ValueCountFrequency (%)
부산광역시 119
17.7%
금정구 119
17.7%
1층 24
 
3.6%
금사동 23
 
3.4%
회동동 21
 
3.1%
부곡동 20
 
3.0%
구서동 14
 
2.1%
2층 14
 
2.1%
장전동 14
 
2.1%
남산동 12
 
1.8%
Other values (192) 293
43.5%
2023-12-11T01:14:25.934168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
 
16.5%
금 172
 
5.1%
동 159
 
4.7%
부 151
 
4.5%
산 139
 
4.1%
구 134
 
4.0%
( 124
 
3.7%
) 124
 
3.7%
정 124
 
3.7%
시 121
 
3.6%
Other values (96) 1550
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1963
58.6%
Space Separator 554
 
16.5%
Decimal Number 498
 
14.9%
Open Punctuation 124
 
3.7%
Close Punctuation 124
 
3.7%
Other Punctuation 65
 
1.9%
Dash Punctuation 18
 
0.5%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 172
 
8.8%
동 159
 
8.1%
부 151
 
7.7%
산 139
 
7.1%
구 134
 
6.8%
정 124
 
6.3%
시 121
 
6.2%
로 120
 
6.1%
광 119
 
6.1%
역 119
 
6.1%
Other values (77) 605
30.8%
Decimal Number
ValueCountFrequency (%)
1 101
20.3%
2 77
15.5%
3 58
11.6%
4 57
11.4%
5 47
9.4%
6 45
9.0%
7 33
 
6.6%
9 32
 
6.4%
0 25
 
5.0%
8 23
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
40.0%
S 2
40.0%
N 1
20.0%
Space Separator
ValueCountFrequency (%)
554
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1963
58.6%
Common 1384
41.3%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 172
 
8.8%
동 159
 
8.1%
부 151
 
7.7%
산 139
 
7.1%
구 134
 
6.8%
정 124
 
6.3%
시 121
 
6.2%
로 120
 
6.1%
광 119
 
6.1%
역 119
 
6.1%
Other values (77) 605
30.8%
Common
ValueCountFrequency (%)
554
40.0%
( 124
 
9.0%
) 124
 
9.0%
1 101
 
7.3%
2 77
 
5.6%
, 65
 
4.7%
3 58
 
4.2%
4 57
 
4.1%
5 47
 
3.4%
6 45
 
3.3%
Other values (6) 132
 
9.5%
Latin
ValueCountFrequency (%)
E 2
40.0%
S 2
40.0%
N 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1963
58.6%
ASCII 1389
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
39.9%
( 124
 
8.9%
) 124
 
8.9%
1 101
 
7.3%
2 77
 
5.5%
, 65
 
4.7%
3 58
 
4.2%
4 57
 
4.1%
5 47
 
3.4%
6 45
 
3.2%
Other values (9) 137
 
9.9%
Hangul
ValueCountFrequency (%)
금 172
 
8.8%
동 159
 
8.1%
부 151
 
7.7%
산 139
 
7.1%
구 134
 
6.8%
정 124
 
6.3%
시 121
 
6.2%
로 120
 
6.1%
광 119
 
6.1%
역 119
 
6.1%
Other values (77) 605
30.8%

소재지(지번)
Text

Distinct114
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:14:26.383422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length35
Mean length21.672269
Min length18

Characters and Unicode

Total characters2579
Distinct characters79
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

Unique109 ?
Unique (%)91.6%

Sample

1st row부산광역시 금정구 회동동 209-6
2nd row부산광역시 금정구 남산동 998-23
3rd row부산광역시 금정구 장전동 394-7
4th row부산광역시 금정구 남산동 952-12
5th row부산광역시 금정구 부곡동 17-13
ValueCountFrequency (%)
부산광역시 119
23.0%
금정구 119
23.0%
금사동 23
 
4.4%
회동동 23
 
4.4%
부곡동 20
 
3.9%
장전동 14
 
2.7%
구서동 14
 
2.7%
남산동 12
 
2.3%
서동 8
 
1.5%
1층 6
 
1.2%
Other values (143) 159
30.8%
2023-12-11T01:14:27.079739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
19.9%
금 147
 
5.7%
동 145
 
5.6%
부 143
 
5.5%
구 133
 
5.2%
산 131
 
5.1%
정 121
 
4.7%
광 119
 
4.6%
역 119
 
4.6%
시 119
 
4.6%
Other values (69) 889
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1409
54.6%
Decimal Number 526
 
20.4%
Space Separator 513
 
19.9%
Dash Punctuation 113
 
4.4%
Uppercase Letter 6
 
0.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 147
10.4%
동 145
10.3%
부 143
10.1%
구 133
9.4%
산 131
9.3%
정 121
8.6%
광 119
8.4%
역 119
8.4%
시 119
8.4%
사 24
 
1.7%
Other values (50) 208
14.8%
Decimal Number
ValueCountFrequency (%)
1 113
21.5%
2 75
14.3%
3 51
9.7%
7 49
9.3%
5 48
9.1%
4 42
 
8.0%
6 42
 
8.0%
9 37
 
7.0%
8 36
 
6.8%
0 33
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
E 2
33.3%
N 1
16.7%
B 1
16.7%
Space Separator
ValueCountFrequency (%)
513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1409
54.6%
Common 1164
45.1%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 147
10.4%
동 145
10.3%
부 143
10.1%
구 133
9.4%
산 131
9.3%
정 121
8.6%
광 119
8.4%
역 119
8.4%
시 119
8.4%
사 24
 
1.7%
Other values (50) 208
14.8%
Common
ValueCountFrequency (%)
513
44.1%
- 113
 
9.7%
1 113
 
9.7%
2 75
 
6.4%
3 51
 
4.4%
7 49
 
4.2%
5 48
 
4.1%
4 42
 
3.6%
6 42
 
3.6%
9 37
 
3.2%
Other values (5) 81
 
7.0%
Latin
ValueCountFrequency (%)
S 2
33.3%
E 2
33.3%
N 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1409
54.6%
ASCII 1170
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
513
43.8%
- 113
 
9.7%
1 113
 
9.7%
2 75
 
6.4%
3 51
 
4.4%
7 49
 
4.2%
5 48
 
4.1%
4 42
 
3.6%
6 42
 
3.6%
9 37
 
3.2%
Other values (9) 87
 
7.4%
Hangul
ValueCountFrequency (%)
금 147
10.4%
동 145
10.3%
부 143
10.1%
구 133
9.4%
산 131
9.3%
정 121
8.6%
광 119
8.4%
역 119
8.4%
시 119
8.4%
사 24
 
1.7%
Other values (50) 208
14.8%

소재지전화
Text

MISSING 

Distinct55
Distinct (%)96.5%
Missing62
Missing (%)52.1%
Memory size1.1 KiB
2023-12-11T01:14:27.427641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters798
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

Unique53 ?
Unique (%)93.0%

Sample

1st row070 -8633-4664
2nd row070 -8065-2847
3rd row070 -4400-7942
4th row070 -4268-7292
5th row070 -4229-0046
ValueCountFrequency (%)
051 50
32.7%
070 6
 
3.9%
527 3
 
2.0%
524 3
 
2.0%
518 3
 
2.0%
528 3
 
2.0%
512 2
 
1.3%
515 2
 
1.3%
581 2
 
1.3%
582 2
 
1.3%
Other values (74) 77
50.3%
2023-12-11T01:14:27.937646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 123
15.4%
- 114
14.3%
107
13.4%
0 100
12.5%
1 88
11.0%
2 52
6.5%
8 50
6.3%
7 41
 
5.1%
3 37
 
4.6%
4 37
 
4.6%
Other values (2) 49
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 577
72.3%
Dash Punctuation 114
 
14.3%
Space Separator 107
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 123
21.3%
0 100
17.3%
1 88
15.3%
2 52
9.0%
8 50
8.7%
7 41
 
7.1%
3 37
 
6.4%
4 37
 
6.4%
9 27
 
4.7%
6 22
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Space Separator
ValueCountFrequency (%)
107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 123
15.4%
- 114
14.3%
107
13.4%
0 100
12.5%
1 88
11.0%
2 52
6.5%
8 50
6.3%
7 41
 
5.1%
3 37
 
4.6%
4 37
 
4.6%
Other values (2) 49
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 123
15.4%
- 114
14.3%
107
13.4%
0 100
12.5%
1 88
11.0%
2 52
6.5%
8 50
6.3%
7 41
 
5.1%
3 37
 
4.6%
4 37
 
4.6%
Other values (2) 49
 
6.1%

Missing values

2023-12-11T01:14:22.868205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:14:23.448125image/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
0식품제조가공업제이쓰리푸드 주식회사부산광역시 금정구 금사로 160, 6층 (회동동)부산광역시 금정구 회동동 209-6070 -8633-4664
1식품제조가공업메이레(meilet)부산광역시 금정구 남산로37번길 68, 3층 (남산동)부산광역시 금정구 남산동 998-23070 -8065-2847
2식품제조가공업코스피어부산광역시 금정구 장전온천천로79번길 4, 1층 (장전동)부산광역시 금정구 장전동 394-7070 -4400-7942
3식품제조가공업(주)다솔코리아부산광역시 금정구 금샘로 585 (남산동)부산광역시 금정구 남산동 952-12070 -4268-7292
4식품제조가공업포스트맨초콜릿(Postman Chocolate)부산광역시 금정구 오륜대로 37 (부곡동)부산광역시 금정구 부곡동 17-13070 -4229-0046
5식품제조가공업팀커피로스터스부산광역시 금정구 금강로 206-14 (장전동)부산광역시 금정구 장전동 629-14070 -4150-3568
6식품제조가공업정원이 있는 부엌부산광역시 금정구 금강로565번길 22, 1층 (구서동)부산광역시 금정구 구서동 653-17051 -971 -0554
7식품제조가공업브라운티얼스 커피부산광역시 금정구 동천로7번길 20 (회동동)부산광역시 금정구 회동동 150-8051 -945 -3210
8식품제조가공업모닝푸드팩토리부산광역시 금정구 회천로32번길 20 (회동동)부산광역시 금정구 회동동 167-9051 -919 -5291
9식품제조가공업주식회사더아름푸드부산광역시 금정구 동대로 32 (회동동)부산광역시 금정구 회동동 109051 -904 -1349
업종명업소명소재지(도로명)소재지(지번)소재지전화
109식품제조가공업청담외식푸드부산광역시 금정구 오륜대로 27 (부곡동)부산광역시 금정구 부곡동 26-4<NA>
110식품제조가공업춘하추동F&C부산광역시 금정구 서동로186번길 45, 녹수탕 (서동)부산광역시 금정구 서동 212-5<NA>
111식품제조가공업커피맘스부산광역시 금정구 금샘로 403 (구서동)부산광역시 금정구 구서동 1021-2<NA>
112식품제조가공업커피원두공장(미니자판기라이프)부산광역시 금정구 개좌로 206, 2층 (회동동)부산광역시 금정구 회동동 152-1 2층<NA>
113식품제조가공업큐브데이부산광역시 금정구 공단로 68-3, 2층 (금사동)부산광역시 금정구 금사동 75-76<NA>
114식품제조가공업태진푸드부산광역시 금정구 금강로578번길 17 (구서동)부산광역시 금정구 구서동 213-2<NA>
115식품제조가공업파파손만두부산광역시 금정구 서부로 24-5, 1층 (서동)부산광역시 금정구 서동 177-5 1층<NA>
116식품제조가공업한톨식품부산광역시 금정구 중앙대로1944번길 37, 1층 (구서동)부산광역시 금정구 구서동 154-2<NA>
117식품제조가공업허니브로푸드부산광역시 금정구 금강로681번길 64, 1층 103호 (남산동, 세화빌라)부산광역시 금정구 남산동 980-7 세화빌라 103호<NA>
118식품제조가공업휴(HUE)부산광역시 금정구 금강로555번길 25, 우성아파트 18동 202호 (구서동)부산광역시 금정구 구서동 1027-1 우성아파트 18동 202호<NA>