Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells15
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory44.4 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_수영구_식품제조가공업현황_20230510
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15022013

Alerts

업종 has constant value ""Constant
소재지전화번호 has 15 (50.0%) missing valuesMissing
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:06:28.271580
Analysis finished2023-12-10 16:06:28.867024
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
식품제조가공업
30 

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 30
100.0%

Length

2023-12-11T01:06:28.987859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:29.116449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 30
100.0%

업소명
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T01:06:29.367337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length8
Mean length6.4
Min length2

Characters and Unicode

Total characters192
Distinct characters96
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row풍년마을
2nd row(주)동주물산
3rd row(주)채목
4th row누들하이
5th row(주)옵스
ValueCountFrequency (%)
주)동주물산 2
 
6.1%
주)삼지창푸드 2
 
6.1%
섬꽃 1
 
3.0%
풍년마을 1
 
3.0%
로스팅스페이스 1
 
3.0%
오아스로스터스 1
 
3.0%
캠요남 1
 
3.0%
피쉬마켓 1
 
3.0%
주식회사 1
 
3.0%
엠지에이치푸드랩 1
 
3.0%
Other values (21) 21
63.6%
2023-12-11T01:06:29.790347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
7.3%
( 10
 
5.2%
) 10
 
5.2%
스 10
 
5.2%
이 5
 
2.6%
회 5
 
2.6%
푸 4
 
2.1%
드 4
 
2.1%
에 4
 
2.1%
식 4
 
2.1%
Other values (86) 122
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
79.7%
Lowercase Letter 12
 
6.2%
Open Punctuation 10
 
5.2%
Close Punctuation 10
 
5.2%
Space Separator 3
 
1.6%
Uppercase Letter 3
 
1.6%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
9.2%
스 10
 
6.5%
이 5
 
3.3%
회 5
 
3.3%
푸 4
 
2.6%
드 4
 
2.6%
에 4
 
2.6%
식 4
 
2.6%
피 3
 
2.0%
지 3
 
2.0%
Other values (71) 97
63.4%
Lowercase Letter
ValueCountFrequency (%)
a 3
25.0%
r 2
16.7%
s 2
16.7%
z 1
 
8.3%
l 1
 
8.3%
o 1
 
8.3%
t 1
 
8.3%
e 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
C 1
33.3%
M 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
79.7%
Common 24
 
12.5%
Latin 15
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
9.2%
스 10
 
6.5%
이 5
 
3.3%
회 5
 
3.3%
푸 4
 
2.6%
드 4
 
2.6%
에 4
 
2.6%
식 4
 
2.6%
피 3
 
2.0%
지 3
 
2.0%
Other values (71) 97
63.4%
Latin
ValueCountFrequency (%)
a 3
20.0%
r 2
13.3%
s 2
13.3%
z 1
 
6.7%
l 1
 
6.7%
o 1
 
6.7%
t 1
 
6.7%
e 1
 
6.7%
F 1
 
6.7%
C 1
 
6.7%
Common
ValueCountFrequency (%)
( 10
41.7%
) 10
41.7%
3
 
12.5%
& 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
79.7%
ASCII 39
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
9.2%
스 10
 
6.5%
이 5
 
3.3%
회 5
 
3.3%
푸 4
 
2.6%
드 4
 
2.6%
에 4
 
2.6%
식 4
 
2.6%
피 3
 
2.0%
지 3
 
2.0%
Other values (71) 97
63.4%
ASCII
ValueCountFrequency (%)
( 10
25.6%
) 10
25.6%
3
 
7.7%
a 3
 
7.7%
r 2
 
5.1%
s 2
 
5.1%
z 1
 
2.6%
l 1
 
2.6%
o 1
 
2.6%
t 1
 
2.6%
Other values (5) 5
12.8%

소재지(도로명)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T01:06:30.075184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36.5
Mean length30.4
Min length23

Characters and Unicode

Total characters912
Distinct characters61
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

Unique30 ?
Unique (%)100.0%

Sample

1st row부산광역시 수영구 연수로348번길 40, 나동 지하1층 (광안동, 광성)
2nd row부산광역시 수영구 광일로20번길 14 (광안동)
3rd row부산광역시 수영구 수영로610번길 10, 지하1층~1층 (광안동)
4th row부산광역시 수영구 망미배산로70번길 45 (망미동)
5th row부산광역시 수영구 좌수영로 89 (수영동)
ValueCountFrequency (%)
부산광역시 30
16.5%
수영구 30
16.5%
1층 15
 
8.2%
망미동 11
 
6.0%
광안동 9
 
4.9%
남천동 4
 
2.2%
민락동 4
 
2.2%
지하1층 3
 
1.6%
15 2
 
1.1%
구락로75번길 2
 
1.1%
Other values (64) 72
39.6%
2023-12-11T01:06:30.544612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
16.7%
광 47
 
5.2%
1 42
 
4.6%
수 41
 
4.5%
영 38
 
4.2%
구 34
 
3.7%
산 33
 
3.6%
동 32
 
3.5%
로 31
 
3.4%
부 30
 
3.3%
Other values (51) 432
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
58.2%
Space Separator 152
 
16.7%
Decimal Number 136
 
14.9%
Open Punctuation 30
 
3.3%
Close Punctuation 30
 
3.3%
Other Punctuation 27
 
3.0%
Dash Punctuation 2
 
0.2%
Math Symbol 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 47
 
8.9%
수 41
 
7.7%
영 38
 
7.2%
구 34
 
6.4%
산 33
 
6.2%
동 32
 
6.0%
로 31
 
5.8%
부 30
 
5.6%
역 30
 
5.6%
시 30
 
5.6%
Other values (33) 185
34.8%
Decimal Number
ValueCountFrequency (%)
1 42
30.9%
2 24
17.6%
4 17
12.5%
0 10
 
7.4%
3 10
 
7.4%
5 10
 
7.4%
7 10
 
7.4%
8 5
 
3.7%
9 5
 
3.7%
6 3
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
58.2%
Common 379
41.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 47
 
8.9%
수 41
 
7.7%
영 38
 
7.2%
구 34
 
6.4%
산 33
 
6.2%
동 32
 
6.0%
로 31
 
5.8%
부 30
 
5.6%
역 30
 
5.6%
시 30
 
5.6%
Other values (33) 185
34.8%
Common
ValueCountFrequency (%)
152
40.1%
1 42
 
11.1%
( 30
 
7.9%
) 30
 
7.9%
, 27
 
7.1%
2 24
 
6.3%
4 17
 
4.5%
0 10
 
2.6%
3 10
 
2.6%
5 10
 
2.6%
Other values (6) 27
 
7.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
58.2%
ASCII 381
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
39.9%
1 42
 
11.0%
( 30
 
7.9%
) 30
 
7.9%
, 27
 
7.1%
2 24
 
6.3%
4 17
 
4.5%
0 10
 
2.6%
3 10
 
2.6%
5 10
 
2.6%
Other values (8) 29
 
7.6%
Hangul
ValueCountFrequency (%)
광 47
 
8.9%
수 41
 
7.7%
영 38
 
7.2%
구 34
 
6.4%
산 33
 
6.2%
동 32
 
6.0%
로 31
 
5.8%
부 30
 
5.6%
역 30
 
5.6%
시 30
 
5.6%
Other values (33) 185
34.8%

소재지(지번)
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T01:06:30.929208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length24.733333
Min length23

Characters and Unicode

Total characters742
Distinct characters48
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row부산광역시 수영구 광안동 1030 - 2 광성
2nd row부산광역시 수영구 광안동 494 - 3
3rd row부산광역시 수영구 광안동 120 - 168
4th row부산광역시 수영구 망미동 880 - 84 망미한신상가 105호
5th row부산광역시 수영구 수영동 496 - 7 외1필지
ValueCountFrequency (%)
부산광역시 30
16.0%
수영구 30
16.0%
30
16.0%
망미동 11
 
5.9%
광안동 9
 
4.8%
1 5
 
2.7%
남천동 4
 
2.1%
민락동 4
 
2.1%
3 3
 
1.6%
250 2
 
1.1%
Other values (52) 60
31.9%
2023-12-11T01:06:31.430033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
28.4%
광 40
 
5.4%
1 33
 
4.4%
수 32
 
4.3%
영 32
 
4.3%
부 30
 
4.0%
역 30
 
4.0%
시 30
 
4.0%
구 30
 
4.0%
산 30
 
4.0%
Other values (38) 244
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
48.1%
Space Separator 211
28.4%
Decimal Number 142
 
19.1%
Dash Punctuation 30
 
4.0%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 40
11.2%
수 32
9.0%
영 32
9.0%
부 30
8.4%
역 30
8.4%
시 30
8.4%
구 30
8.4%
산 30
8.4%
동 30
8.4%
미 12
 
3.4%
Other values (24) 61
17.1%
Decimal Number
ValueCountFrequency (%)
1 33
23.2%
4 18
12.7%
3 15
10.6%
2 14
9.9%
0 14
9.9%
5 13
 
9.2%
8 11
 
7.7%
6 9
 
6.3%
7 8
 
5.6%
9 7
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 383
51.6%
Hangul 357
48.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 40
11.2%
수 32
9.0%
영 32
9.0%
부 30
8.4%
역 30
8.4%
시 30
8.4%
구 30
8.4%
산 30
8.4%
동 30
8.4%
미 12
 
3.4%
Other values (24) 61
17.1%
Common
ValueCountFrequency (%)
211
55.1%
1 33
 
8.6%
- 30
 
7.8%
4 18
 
4.7%
3 15
 
3.9%
2 14
 
3.7%
0 14
 
3.7%
5 13
 
3.4%
8 11
 
2.9%
6 9
 
2.3%
Other values (2) 15
 
3.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
51.9%
Hangul 357
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
54.8%
1 33
 
8.6%
- 30
 
7.8%
4 18
 
4.7%
3 15
 
3.9%
2 14
 
3.6%
0 14
 
3.6%
5 13
 
3.4%
8 11
 
2.9%
6 9
 
2.3%
Other values (4) 17
 
4.4%
Hangul
ValueCountFrequency (%)
광 40
11.2%
수 32
9.0%
영 32
9.0%
부 30
8.4%
역 30
8.4%
시 30
8.4%
구 30
8.4%
산 30
8.4%
동 30
8.4%
미 12
 
3.4%
Other values (24) 61
17.1%

소재지전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing15
Missing (%)50.0%
Memory size372.0 B
2023-12-11T01:06:31.713839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters180
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

Unique15 ?
Unique (%)100.0%

Sample

1st row051-751-5086
2nd row051-752-1119
3rd row051-753-4672
4th row051-908-8881
5th row051-611-3820
ValueCountFrequency (%)
051-751-5086 1
 
6.7%
051-752-1119 1
 
6.7%
051-753-4672 1
 
6.7%
051-908-8881 1
 
6.7%
051-611-3820 1
 
6.7%
051-626-4430 1
 
6.7%
051-995-5553 1
 
6.7%
051-759-8649 1
 
6.7%
051-759-0199 1
 
6.7%
051-612-1000 1
 
6.7%
Other values (5) 5
33.3%
2023-12-11T01:06:32.231545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30
16.7%
0 28
15.6%
5 28
15.6%
1 28
15.6%
6 14
7.8%
7 12
 
6.7%
2 10
 
5.6%
8 9
 
5.0%
9 9
 
5.0%
3 6
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
83.3%
Dash Punctuation 30
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
18.7%
5 28
18.7%
1 28
18.7%
6 14
9.3%
7 12
8.0%
2 10
 
6.7%
8 9
 
6.0%
9 9
 
6.0%
3 6
 
4.0%
4 6
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 30
16.7%
0 28
15.6%
5 28
15.6%
1 28
15.6%
6 14
7.8%
7 12
 
6.7%
2 10
 
5.6%
8 9
 
5.0%
9 9
 
5.0%
3 6
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30
16.7%
0 28
15.6%
5 28
15.6%
1 28
15.6%
6 14
7.8%
7 12
 
6.7%
2 10
 
5.6%
8 9
 
5.0%
9 9
 
5.0%
3 6
 
3.3%

Correlations

2023-12-11T01:06:32.369147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)소재지전화번호
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.000

Missing values

2023-12-11T01:06:28.660787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:06:28.809819image/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

업종업소명소재지(도로명)소재지(지번)소재지전화번호
0식품제조가공업풍년마을부산광역시 수영구 연수로348번길 40, 나동 지하1층 (광안동, 광성)부산광역시 수영구 광안동 1030 - 2 광성051-751-5086
1식품제조가공업(주)동주물산부산광역시 수영구 광일로20번길 14 (광안동)부산광역시 수영구 광안동 494 - 3051-752-1119
2식품제조가공업(주)채목부산광역시 수영구 수영로610번길 10, 지하1층~1층 (광안동)부산광역시 수영구 광안동 120 - 168051-753-4672
3식품제조가공업누들하이부산광역시 수영구 망미배산로70번길 45 (망미동)부산광역시 수영구 망미동 880 - 84 망미한신상가 105호051-908-8881
4식품제조가공업(주)옵스부산광역시 수영구 좌수영로 89 (수영동)부산광역시 수영구 수영동 496 - 7 외1필지051-611-3820
5식품제조가공업자갈치 회초장부산광역시 수영구 무학로63번길 54, 1층 (민락동)부산광역시 수영구 민락동 145 - 36<NA>
6식품제조가공업마잘로스터스(Mazal roasters)부산광역시 수영구 광안해변로 21, 1층 (남천동)부산광역시 수영구 남천동 558 - 6051-626-4430
7식품제조가공업주식회사담아요부산광역시 수영구 연수로249번길 7, 지하1~지상2층 (망미동)부산광역시 수영구 망미동 836 - 1051-995-5553
8식품제조가공업영진식품부산광역시 수영구 구락로 86, 1층 (망미동)부산광역시 수영구 망미동 211 - 3051-759-8649
9식품제조가공업코리아F&C부산광역시 수영구 무학로 44, 1층 (광안동)부산광역시 수영구 광안동 125 - 11051-759-0199
업종업소명소재지(도로명)소재지(지번)소재지전화번호
20식품제조가공업(주)삼지창푸드부산광역시 수영구 구락로75번길 15 (망미동)부산광역시 수영구 망미동 250 - 1<NA>
21식품제조가공업한국생명과학부산광역시 수영구 수영로540번길 77, 2층 (광안동)부산광역시 수영구 광안동 173 - 7<NA>
22식품제조가공업하르커피부산광역시 수영구 수미로41번길 2 (망미동)부산광역시 수영구 망미동 252 - 10<NA>
23식품제조가공업(주)대현상회부산광역시 수영구 망미배산로10번길 12, 1층 (망미동)부산광역시 수영구 망미동 430 - 21<NA>
24식품제조가공업엠지에이치푸드랩부산광역시 수영구 망미로 5, 1층 (망미동)부산광역시 수영구 망미동 802 - 12051-866-4750
25식품제조가공업주식회사 피쉬마켓부산광역시 수영구 광안해변로358번길 17-19, SC빌딩 3층 (민락동)부산광역시 수영구 민락동 110 - 74 SC빌딩<NA>
26식품제조가공업캠요남부산광역시 수영구 남천동로 82, 반도빌딩 1층 1-2호 (남천동)부산광역시 수영구 남천동 148 - 84 반도빌딩<NA>
27식품제조가공업오아스로스터스부산광역시 수영구 광안로21번길 23, 1층 (광안동)부산광역시 수영구 광안동 145 - 36<NA>
28식품제조가공업로스팅스페이스부산광역시 수영구 망미배산로24번길 22, 1층 (망미동)부산광역시 수영구 망미동 441 - 25<NA>
29식품제조가공업에프디에프주식회사부산광역시 수영구 수영로 411, 글로리 지하1층 (남천동)부산광역시 수영구 남천동 69 - 17 글로리<NA>