Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells7
Missing cells (%)4.7%
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 북구 관내에 존재하는 식품제조가공업 현황 데이터로 업소명, 도로명주소, 지번주소, 전화번호 등의 항목을 제공합니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/3069434/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 7 (23.3%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:43:53.472275
Analysis finished2023-12-12 10:43:53.984763
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
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

2023-12-12T19:43:54.049877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:43:54.155475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 30
100.0%

업소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:43:54.408728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length7.0333333
Min length3

Characters and Unicode

Total characters211
Distinct characters107
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

Unique30 ?
Unique (%)100.0%

Sample

1st row구포연합식품
2nd row엔젤식품
3rd row대원식품
4th row한미식품
5th row구포만두
ValueCountFrequency (%)
구포연합식품 1
 
2.8%
엔젤식품 1
 
2.8%
영민식품 1
 
2.8%
상상fnb 1
 
2.8%
옐로우페이퍼커피(yellow 1
 
2.8%
paper 1
 
2.8%
coffee 1
 
2.8%
우성fnp 1
 
2.8%
비비에스(bbs)커피 1
 
2.8%
로스터스 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T19:43:54.898100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 14
 
6.6%
품 12
 
5.7%
( 8
 
3.8%
) 8
 
3.8%
주 6
 
2.8%
6
 
2.8%
스 5
 
2.4%
드 4
 
1.9%
E 4
 
1.9%
F 4
 
1.9%
Other values (97) 140
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
72.5%
Uppercase Letter 27
 
12.8%
Open Punctuation 8
 
3.8%
Close Punctuation 8
 
3.8%
Lowercase Letter 7
 
3.3%
Space Separator 6
 
2.8%
Other Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 14
 
9.2%
품 12
 
7.8%
주 6
 
3.9%
스 5
 
3.3%
드 4
 
2.6%
비 4
 
2.6%
이 3
 
2.0%
공 3
 
2.0%
미 3
 
2.0%
커 3
 
2.0%
Other values (76) 96
62.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
14.8%
F 4
14.8%
B 3
11.1%
P 3
11.1%
L 2
7.4%
O 2
7.4%
G 2
7.4%
Y 1
 
3.7%
W 1
 
3.7%
A 1
 
3.7%
Other values (4) 4
14.8%
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 153
72.5%
Latin 34
 
16.1%
Common 24
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 14
 
9.2%
품 12
 
7.8%
주 6
 
3.9%
스 5
 
3.3%
드 4
 
2.6%
비 4
 
2.6%
이 3
 
2.0%
공 3
 
2.0%
미 3
 
2.0%
커 3
 
2.0%
Other values (76) 96
62.7%
Latin
ValueCountFrequency (%)
E 4
11.8%
F 4
11.8%
B 3
8.8%
n 3
8.8%
P 3
8.8%
L 2
 
5.9%
O 2
 
5.9%
g 2
 
5.9%
G 2
 
5.9%
o 2
 
5.9%
Other values (7) 7
20.6%
Common
ValueCountFrequency (%)
( 8
33.3%
) 8
33.3%
6
25.0%
& 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
72.5%
ASCII 58
 
27.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 14
 
9.2%
품 12
 
7.8%
주 6
 
3.9%
스 5
 
3.3%
드 4
 
2.6%
비 4
 
2.6%
이 3
 
2.0%
공 3
 
2.0%
미 3
 
2.0%
커 3
 
2.0%
Other values (76) 96
62.7%
ASCII
ValueCountFrequency (%)
( 8
13.8%
) 8
13.8%
6
 
10.3%
E 4
 
6.9%
F 4
 
6.9%
B 3
 
5.2%
n 3
 
5.2%
P 3
 
5.2%
L 2
 
3.4%
O 2
 
3.4%
Other values (11) 15
25.9%

소재지(도로명)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:43:55.249801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length35
Mean length31.633333
Min length22

Characters and Unicode

Total characters949
Distinct characters86
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

Unique30 ?
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 30
 
16.0%
북구 30
 
16.0%
구포동 10
 
5.3%
1층 9
 
4.8%
만덕동 7
 
3.7%
덕천동 7
 
3.7%
31 3
 
1.6%
화명동 3
 
1.6%
화명대로 2
 
1.1%
3층 2
 
1.1%
Other values (77) 84
44.9%
2023-12-12T19:43:55.823624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
16.6%
1 56
 
5.9%
구 41
 
4.3%
동 36
 
3.8%
산 33
 
3.5%
시 33
 
3.5%
부 32
 
3.4%
북 31
 
3.3%
역 30
 
3.2%
) 30
 
3.2%
Other values (76) 469
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
55.0%
Decimal Number 171
 
18.0%
Space Separator 158
 
16.6%
Close Punctuation 30
 
3.2%
Open Punctuation 30
 
3.2%
Other Punctuation 29
 
3.1%
Dash Punctuation 7
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 41
 
7.9%
동 36
 
6.9%
산 33
 
6.3%
시 33
 
6.3%
부 32
 
6.1%
북 31
 
5.9%
역 30
 
5.7%
로 30
 
5.7%
광 30
 
5.7%
층 23
 
4.4%
Other values (59) 203
38.9%
Decimal Number
ValueCountFrequency (%)
1 56
32.7%
2 30
17.5%
3 16
 
9.4%
0 15
 
8.8%
7 13
 
7.6%
5 13
 
7.6%
6 9
 
5.3%
4 8
 
4.7%
8 7
 
4.1%
9 4
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
55.0%
Common 425
44.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 41
 
7.9%
동 36
 
6.9%
산 33
 
6.3%
시 33
 
6.3%
부 32
 
6.1%
북 31
 
5.9%
역 30
 
5.7%
로 30
 
5.7%
광 30
 
5.7%
층 23
 
4.4%
Other values (59) 203
38.9%
Common
ValueCountFrequency (%)
158
37.2%
1 56
 
13.2%
) 30
 
7.1%
( 30
 
7.1%
2 30
 
7.1%
, 29
 
6.8%
3 16
 
3.8%
0 15
 
3.5%
7 13
 
3.1%
5 13
 
3.1%
Other values (5) 35
 
8.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
55.0%
ASCII 427
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
37.0%
1 56
 
13.1%
) 30
 
7.0%
( 30
 
7.0%
2 30
 
7.0%
, 29
 
6.8%
3 16
 
3.7%
0 15
 
3.5%
7 13
 
3.0%
5 13
 
3.0%
Other values (7) 37
 
8.7%
Hangul
ValueCountFrequency (%)
구 41
 
7.9%
동 36
 
6.9%
산 33
 
6.3%
시 33
 
6.3%
부 32
 
6.1%
북 31
 
5.9%
역 30
 
5.7%
로 30
 
5.7%
광 30
 
5.7%
층 23
 
4.4%
Other values (59) 203
38.9%

소재지(지번)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:43:56.092291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length21.733333
Min length19

Characters and Unicode

Total characters652
Distinct characters56
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

Unique30 ?
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 30
22.9%
북구 30
22.9%
구포동 10
 
7.6%
만덕동 8
 
6.1%
덕천동 7
 
5.3%
화명동 3
 
2.3%
지하1층 2
 
1.5%
금곡동 2
 
1.5%
1층 2
 
1.5%
1084-3 1
 
0.8%
Other values (36) 36
27.5%
2023-12-12T19:43:56.598194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
19.9%
구 40
 
6.1%
1 39
 
6.0%
산 33
 
5.1%
부 32
 
4.9%
광 30
 
4.6%
역 30
 
4.6%
시 30
 
4.6%
북 30
 
4.6%
동 30
 
4.6%
Other values (46) 228
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
52.6%
Decimal Number 145
22.2%
Space Separator 130
 
19.9%
Dash Punctuation 29
 
4.4%
Other Punctuation 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 40
11.7%
산 33
9.6%
부 32
9.3%
광 30
8.7%
역 30
8.7%
시 30
8.7%
북 30
8.7%
동 30
8.7%
덕 15
 
4.4%
포 10
 
2.9%
Other values (31) 63
18.4%
Decimal Number
ValueCountFrequency (%)
1 39
26.9%
3 17
11.7%
2 16
11.0%
0 13
 
9.0%
8 13
 
9.0%
6 12
 
8.3%
4 10
 
6.9%
7 10
 
6.9%
9 8
 
5.5%
5 7
 
4.8%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
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 343
52.6%
Common 309
47.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 40
11.7%
산 33
9.6%
부 32
9.3%
광 30
8.7%
역 30
8.7%
시 30
8.7%
북 30
8.7%
동 30
8.7%
덕 15
 
4.4%
포 10
 
2.9%
Other values (31) 63
18.4%
Common
ValueCountFrequency (%)
130
42.1%
1 39
 
12.6%
- 29
 
9.4%
3 17
 
5.5%
2 16
 
5.2%
0 13
 
4.2%
8 13
 
4.2%
6 12
 
3.9%
4 10
 
3.2%
7 10
 
3.2%
Other values (5) 20
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
52.6%
ASCII 309
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
42.1%
1 39
 
12.6%
- 29
 
9.4%
3 17
 
5.5%
2 16
 
5.2%
0 13
 
4.2%
8 13
 
4.2%
6 12
 
3.9%
4 10
 
3.2%
7 10
 
3.2%
Other values (5) 20
 
6.5%
Hangul
ValueCountFrequency (%)
구 40
11.7%
산 33
9.6%
부 32
9.3%
광 30
8.7%
역 30
8.7%
시 30
8.7%
북 30
8.7%
동 30
8.7%
덕 15
 
4.4%
포 10
 
2.9%
Other values (31) 63
18.4%

소재지전화
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing7
Missing (%)23.3%
Memory size372.0 B
2023-12-12T19:43:56.865940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row051-332-2865
2nd row051-343-1004
3rd row051-807-6840
4th row051-334-6717
5th row051-338-2383
ValueCountFrequency (%)
051-332-2865 1
 
4.3%
051-301-7615 1
 
4.3%
051-343-1004 1
 
4.3%
051-313-9654 1
 
4.3%
051-335-8841 1
 
4.3%
051-343-2282 1
 
4.3%
051-343-0807 1
 
4.3%
051-900-7155 1
 
4.3%
051-904-3655 1
 
4.3%
051-363-3372 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T19:43:57.299718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 47
17.0%
- 46
16.7%
1 42
15.2%
0 38
13.8%
5 33
12.0%
4 14
 
5.1%
2 13
 
4.7%
7 13
 
4.7%
8 12
 
4.3%
6 12
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 47
20.4%
1 42
18.3%
0 38
16.5%
5 33
14.3%
4 14
 
6.1%
2 13
 
5.7%
7 13
 
5.7%
8 12
 
5.2%
6 12
 
5.2%
9 6
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 47
17.0%
- 46
16.7%
1 42
15.2%
0 38
13.8%
5 33
12.0%
4 14
 
5.1%
2 13
 
4.7%
7 13
 
4.7%
8 12
 
4.3%
6 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 47
17.0%
- 46
16.7%
1 42
15.2%
0 38
13.8%
5 33
12.0%
4 14
 
5.1%
2 13
 
4.7%
7 13
 
4.7%
8 12
 
4.3%
6 12
 
4.3%

Correlations

2023-12-12T19:43:57.449784image/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

2023-12-12T19:43:53.824106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:43:53.945096image/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
9식품제조가공업이파랑김치부산광역시 북구 의성로127번길 79 (덕천동)부산광역시 북구 덕천동 426-10051-334-7781
업종명업소명소재지(도로명)소재지(지번)소재지전화
20식품제조가공업상상FnB부산광역시 북구 의성로121번길 143, 지하동 1층 (덕천동)부산광역시 북구 덕천동 407-8<NA>
21식품제조가공업옐로우페이퍼커피(YELLOW PAPER COFFEE)부산광역시 북구 시랑로 50, 3층 (구포동)부산광역시 북구 구포동 1217-1051-343-2282
22식품제조가공업우성FNP부산광역시 북구 화명대로 92, 난애빌딩 4층 (화명동)부산광역시 북구 화명동 741-4 난애빌딩051-335-8841
23식품제조가공업비비에스(BBS)커피 로스터스부산광역시 북구 사상로 601, 1층 (구포동)부산광역시 북구 구포동 1121-12051-313-9654
24식품제조가공업(주)유기농사랑부산광역시 북구 효열로 111, 부산지식산업센터 3층 311호 (금곡동)부산광역시 북구 금곡동 812-8 부산지식산업센터<NA>
25식품제조가공업선채향부산광역시 북구 금곡대로 185-6, 비동 1-5호 (화명동)부산광역시 북구 화명동 962-5<NA>
26식품제조가공업(주) 미드미푸드(부산지점)부산광역시 북구 만덕1로104번길 24, A동 1층,2층 B동 1층 (만덕동)부산광역시 북구 만덕동 680-12<NA>
27식품제조가공업문지방커피부산광역시 북구 의성로127번길 85, 1층 (덕천동)부산광역시 북구 덕천동 426-39051-337-9724
28식품제조가공업일한푸드부산광역시 북구 만덕1로 17, 지하1층 (만덕동)부산광역시 북구 만덕동 830-6<NA>
29식품제조가공업비건 케이부산광역시 북구 화명대로 31, 현호타워 703호 (화명동)부산광역시 북구 화명동 2272-5 현호타워<NA>