Overview

Dataset statistics

Number of variables5
Number of observations34
Missing cells9
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory43.9 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시북구_식품제조가공업현황_20221031
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3069434

Alerts

업종명 has constant value ""Constant
소재지전화 has 9 (26.5%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:33:18.385872
Analysis finished2023-12-10 17:33:19.976662
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
식품제조가공업
34 

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 34
100.0%

Length

2023-12-11T02:33:20.204068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:33:20.496089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 34
100.0%

업소명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:33:21.097021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length6.8823529
Min length3

Characters and Unicode

Total characters234
Distinct characters115
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

Unique34 ?
Unique (%)100.0%

Sample

1st row구포연합식품
2nd row엔젤식품
3rd row대원식품
4th row한미식품
5th row구포만두
ValueCountFrequency (%)
주식회사 2
 
5.0%
구포연합식품 1
 
2.5%
옐로우페이퍼커피(yellow 1
 
2.5%
투데이그릭 1
 
2.5%
검재식품 1
 
2.5%
선채향 1
 
2.5%
주)유기농사랑 1
 
2.5%
엔젤식품 1
 
2.5%
비비에스(bbs)커피 1
 
2.5%
로스터스 1
 
2.5%
Other values (29) 29
72.5%
2023-12-11T02:33:22.232128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 18
 
7.7%
품 15
 
6.4%
( 8
 
3.4%
주 8
 
3.4%
) 8
 
3.4%
스 6
 
2.6%
6
 
2.6%
드 5
 
2.1%
사 4
 
1.7%
이 4
 
1.7%
Other values (105) 152
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
76.5%
Uppercase Letter 24
 
10.3%
Open Punctuation 8
 
3.4%
Close Punctuation 8
 
3.4%
Lowercase Letter 7
 
3.0%
Space Separator 6
 
2.6%
Other Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 18
 
10.1%
품 15
 
8.4%
주 8
 
4.5%
스 6
 
3.4%
드 5
 
2.8%
사 4
 
2.2%
이 4
 
2.2%
비 3
 
1.7%
피 3
 
1.7%
커 3
 
1.7%
Other values (85) 110
61.5%
Uppercase Letter
ValueCountFrequency (%)
E 4
16.7%
B 3
12.5%
F 3
12.5%
G 2
8.3%
L 2
8.3%
O 2
8.3%
P 2
8.3%
Y 1
 
4.2%
S 1
 
4.2%
W 1
 
4.2%
Other values (3) 3
12.5%
Lowercase Letter
ValueCountFrequency (%)
n 3
42.9%
g 2
28.6%
o 2
28.6%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
76.5%
Latin 31
 
13.2%
Common 24
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 18
 
10.1%
품 15
 
8.4%
주 8
 
4.5%
스 6
 
3.4%
드 5
 
2.8%
사 4
 
2.2%
이 4
 
2.2%
비 3
 
1.7%
피 3
 
1.7%
커 3
 
1.7%
Other values (85) 110
61.5%
Latin
ValueCountFrequency (%)
E 4
12.9%
n 3
9.7%
B 3
9.7%
F 3
9.7%
g 2
 
6.5%
o 2
 
6.5%
G 2
 
6.5%
L 2
 
6.5%
O 2
 
6.5%
P 2
 
6.5%
Other values (6) 6
19.4%
Common
ValueCountFrequency (%)
( 8
33.3%
) 8
33.3%
6
25.0%
& 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
76.5%
ASCII 55
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 18
 
10.1%
품 15
 
8.4%
주 8
 
4.5%
스 6
 
3.4%
드 5
 
2.8%
사 4
 
2.2%
이 4
 
2.2%
비 3
 
1.7%
피 3
 
1.7%
커 3
 
1.7%
Other values (85) 110
61.5%
ASCII
ValueCountFrequency (%)
( 8
14.5%
) 8
14.5%
6
10.9%
E 4
 
7.3%
n 3
 
5.5%
B 3
 
5.5%
F 3
 
5.5%
g 2
 
3.6%
o 2
 
3.6%
G 2
 
3.6%
Other values (10) 14
25.5%

소재지(도로명)
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:33:22.939025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length40
Mean length31.970588
Min length21

Characters and Unicode

Total characters1087
Distinct characters98
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

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 북구 가람로58번길 8, 1,2층 (구포동)
2nd row부산광역시 북구 시랑로21번길 6 (구포동)
3rd row부산광역시 북구 만덕3로51번길 22, 1층 (만덕동)
4th row부산광역시 북구 백양대로 1025 (구포동)
5th row부산광역시 북구 시랑로109번길 15 (구포동)
ValueCountFrequency (%)
부산광역시 34
 
15.7%
북구 34
 
15.7%
구포동 13
 
6.0%
1층 10
 
4.6%
만덕동 7
 
3.2%
덕천동 7
 
3.2%
2층 5
 
2.3%
화명동 4
 
1.9%
3층 3
 
1.4%
금곡동 2
 
0.9%
Other values (86) 97
44.9%
2023-12-11T02:33:24.028292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
16.8%
1 57
 
5.2%
구 49
 
4.5%
동 40
 
3.7%
시 38
 
3.5%
산 38
 
3.5%
부 37
 
3.4%
2 36
 
3.3%
북 35
 
3.2%
광 34
 
3.1%
Other values (88) 540
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
55.7%
Decimal Number 191
 
17.6%
Space Separator 183
 
16.8%
Close Punctuation 34
 
3.1%
Open Punctuation 34
 
3.1%
Other Punctuation 32
 
2.9%
Dash Punctuation 6
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 49
 
8.1%
동 40
 
6.6%
시 38
 
6.3%
산 38
 
6.3%
부 37
 
6.1%
북 35
 
5.8%
광 34
 
5.6%
역 34
 
5.6%
로 34
 
5.6%
층 27
 
4.5%
Other values (71) 239
39.5%
Decimal Number
ValueCountFrequency (%)
1 57
29.8%
2 36
18.8%
0 19
 
9.9%
3 17
 
8.9%
5 15
 
7.9%
7 15
 
7.9%
4 10
 
5.2%
6 10
 
5.2%
8 7
 
3.7%
9 5
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
55.7%
Common 480
44.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 49
 
8.1%
동 40
 
6.6%
시 38
 
6.3%
산 38
 
6.3%
부 37
 
6.1%
북 35
 
5.8%
광 34
 
5.6%
역 34
 
5.6%
로 34
 
5.6%
층 27
 
4.5%
Other values (71) 239
39.5%
Common
ValueCountFrequency (%)
183
38.1%
1 57
 
11.9%
2 36
 
7.5%
) 34
 
7.1%
( 34
 
7.1%
, 32
 
6.7%
0 19
 
4.0%
3 17
 
3.5%
5 15
 
3.1%
7 15
 
3.1%
Other values (5) 38
 
7.9%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
55.7%
ASCII 482
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
38.0%
1 57
 
11.8%
2 36
 
7.5%
) 34
 
7.1%
( 34
 
7.1%
, 32
 
6.6%
0 19
 
3.9%
3 17
 
3.5%
5 15
 
3.1%
7 15
 
3.1%
Other values (7) 40
 
8.3%
Hangul
ValueCountFrequency (%)
구 49
 
8.1%
동 40
 
6.6%
시 38
 
6.3%
산 38
 
6.3%
부 37
 
6.1%
북 35
 
5.8%
광 34
 
5.6%
역 34
 
5.6%
로 34
 
5.6%
층 27
 
4.5%
Other values (71) 239
39.5%

소재지(지번)
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:33:24.519690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length22.647059
Min length19

Characters and Unicode

Total characters770
Distinct characters67
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

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 북구 구포동 410-5
2nd row부산광역시 북구 구포동 690-9
3rd row부산광역시 북구 만덕동 918-6 1층
4th row부산광역시 북구 구포동 1084-3
5th row부산광역시 북구 구포동 1227-30
ValueCountFrequency (%)
부산광역시 34
22.1%
북구 34
22.1%
구포동 13
 
8.4%
만덕동 8
 
5.2%
덕천동 7
 
4.5%
화명동 4
 
2.6%
1층 3
 
1.9%
지하1층 2
 
1.3%
부산이노비즈센터 2
 
1.3%
763-13 2
 
1.3%
Other values (43) 45
29.2%
2023-12-11T02:33:25.453238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
19.7%
1 52
 
6.8%
구 47
 
6.1%
산 38
 
4.9%
부 37
 
4.8%
시 34
 
4.4%
역 34
 
4.4%
동 34
 
4.4%
북 34
 
4.4%
광 34
 
4.4%
Other values (57) 274
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
52.6%
Decimal Number 175
22.7%
Space Separator 152
 
19.7%
Dash Punctuation 33
 
4.3%
Other Punctuation 3
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
11.6%
산 38
9.4%
부 37
9.1%
시 34
8.4%
역 34
8.4%
동 34
8.4%
북 34
8.4%
광 34
8.4%
덕 16
 
4.0%
포 13
 
3.2%
Other values (42) 84
20.7%
Decimal Number
ValueCountFrequency (%)
1 52
29.7%
3 21
12.0%
2 20
 
11.4%
0 16
 
9.1%
7 13
 
7.4%
4 13
 
7.4%
8 12
 
6.9%
6 11
 
6.3%
9 9
 
5.1%
5 8
 
4.6%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
52.6%
Common 365
47.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
11.6%
산 38
9.4%
부 37
9.1%
시 34
8.4%
역 34
8.4%
동 34
8.4%
북 34
8.4%
광 34
8.4%
덕 16
 
4.0%
포 13
 
3.2%
Other values (42) 84
20.7%
Common
ValueCountFrequency (%)
152
41.6%
1 52
 
14.2%
- 33
 
9.0%
3 21
 
5.8%
2 20
 
5.5%
0 16
 
4.4%
7 13
 
3.6%
4 13
 
3.6%
8 12
 
3.3%
6 11
 
3.0%
Other values (5) 22
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
52.6%
ASCII 365
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
41.6%
1 52
 
14.2%
- 33
 
9.0%
3 21
 
5.8%
2 20
 
5.5%
0 16
 
4.4%
7 13
 
3.6%
4 13
 
3.6%
8 12
 
3.3%
6 11
 
3.0%
Other values (5) 22
 
6.0%
Hangul
ValueCountFrequency (%)
구 47
11.6%
산 38
9.4%
부 37
9.1%
시 34
8.4%
역 34
8.4%
동 34
8.4%
북 34
8.4%
광 34
8.4%
덕 16
 
4.0%
포 13
 
3.2%
Other values (42) 84
20.7%

소재지전화
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing9
Missing (%)26.5%
Memory size404.0 B
2023-12-11T02:33:26.059544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.24
Min length12

Characters and Unicode

Total characters306
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

Unique25 ?
Unique (%)100.0%

Sample

1st row051-332-2865
2nd row 051-343-1004
3rd row051-807-6840
4th row 051-334-6717
5th row 051-338-2383
ValueCountFrequency (%)
051-332-2865 1
 
4.0%
051-301-7615 1
 
4.0%
051-343-1004 1
 
4.0%
051-365-5213 1
 
4.0%
051-313-9654 1
 
4.0%
051-335-8841 1
 
4.0%
051-343-0807 1
 
4.0%
051-900-7155 1
 
4.0%
051-904-3655 1
 
4.0%
051-988-0637 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T02:33:26.989981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.3%
3 48
15.7%
1 47
15.4%
0 41
13.4%
5 37
12.1%
6 16
 
5.2%
8 15
 
4.9%
7 14
 
4.6%
4 13
 
4.2%
2 11
 
3.6%
Other values (2) 14
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
81.7%
Dash Punctuation 50
 
16.3%
Space Separator 6
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
19.2%
1 47
18.8%
0 41
16.4%
5 37
14.8%
6 16
 
6.4%
8 15
 
6.0%
7 14
 
5.6%
4 13
 
5.2%
2 11
 
4.4%
9 8
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.3%
3 48
15.7%
1 47
15.4%
0 41
13.4%
5 37
12.1%
6 16
 
5.2%
8 15
 
4.9%
7 14
 
4.6%
4 13
 
4.2%
2 11
 
3.6%
Other values (2) 14
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.3%
3 48
15.7%
1 47
15.4%
0 41
13.4%
5 37
12.1%
6 16
 
5.2%
8 15
 
4.9%
7 14
 
4.6%
4 13
 
4.2%
2 11
 
3.6%
Other values (2) 14
 
4.6%

Correlations

2023-12-11T02:33:27.278079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)소재지전화
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-11T02:33:19.324905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:33:19.809762image/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
0식품제조가공업구포연합식품부산광역시 북구 가람로58번길 8, 1,2층 (구포동)부산광역시 북구 구포동 410-5051-332-2865
1식품제조가공업엔젤식품부산광역시 북구 시랑로21번길 6 (구포동)부산광역시 북구 구포동 690-9051-343-1004
2식품제조가공업대원식품부산광역시 북구 만덕3로51번길 22, 1층 (만덕동)부산광역시 북구 만덕동 918-6 1층051-807-6840
3식품제조가공업한미식품부산광역시 북구 백양대로 1025 (구포동)부산광역시 북구 구포동 1084-3051-334-6717
4식품제조가공업구포만두부산광역시 북구 시랑로109번길 15 (구포동)부산광역시 북구 구포동 1227-30051-338-2383
5식품제조가공업가야식품부산광역시 북구 금곡대로92번길 31, 지하1층,1층 (덕천동)부산광역시 북구 덕천동 531-7 지하1층, 1층051-338-1990
6식품제조가공업좋은식품부산광역시 북구 만덕1로51번길 75, 지하1층 (만덕동)부산광역시 북구 만덕동 640-1051-331-3331
7식품제조가공업공앤공(Gong&Gong)부산광역시 북구 사상로577번길 42-1 (구포동)부산광역시 북구 구포동 1188-7051-301-5214
8식품제조가공업부산식품&테크부산광역시 북구 금곡대로 85 (덕천동)부산광역시 북구 덕천동 631-1051-332-0087
9식품제조가공업자주식품부산광역시 북구 시랑로 65 (구포동)부산광역시 북구 구포동 1219-5051-896-8116
업종명업소명소재지(도로명)소재지(지번)소재지전화
24식품제조가공업옐로우페이퍼커피(YELLOW PAPER COFFEE)부산광역시 북구 시랑로 50, 3층 (구포동)부산광역시 북구 구포동 1217-1<NA>
25식품제조가공업우성푸드부산광역시 북구 화명대로 92, 난애빌딩 4층 (화명동)부산광역시 북구 화명동 741-4 난애빌딩051-335-8841
26식품제조가공업비비에스(BBS)커피 로스터스부산광역시 북구 사상로 601, 1층 (구포동)부산광역시 북구 구포동 1121-12051-313-9654
27식품제조가공업(주)유기농사랑부산광역시 북구 효열로 111, 부산지식산업센터 3층 311호 (금곡동)부산광역시 북구 금곡동 812-8 부산지식산업센터<NA>
28식품제조가공업선채향부산광역시 북구 학사로17번길 27, 수정강변타운 상가동 101호 (화명동)부산광역시 북구 화명동 2322 수정강변타운<NA>
29식품제조가공업검재식품부산광역시 북구 구남언덕로 7, 2층 (구포동)부산광역시 북구 구포동 1075-112<NA>
30식품제조가공업투데이그릭부산광역시 북구 학사로 140, 덕진 상뜨레-뷰 앙코르 2층 204호 (화명동)부산광역시 북구 화명동 2274-1 덕진 상뜨레-뷰 앙코르 204호<NA>
31식품제조가공업(주) 미드미푸드(부산지점)부산광역시 북구 만덕1로104번길 24, A동 1층,2층 B동 1층 (만덕동)부산광역시 북구 만덕동 680-12<NA>
32식품제조가공업에스티식품부산광역시 북구 화명대로 90, 2층 (화명동)부산광역시 북구 화명동 741-3051-365-5213
33식품제조가공업문지방커피부산광역시 북구 의성로127번길 85, 1층 (덕천동)부산광역시 북구 덕천동 426-39051-337-9724