Overview

Dataset statistics

Number of variables4
Number of observations173
Missing cells55
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory32.8 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시강서구_식품제조가공업소현황_20230614
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15046167

Alerts

업종명 has constant value ""Constant
소재지전화 has 55 (31.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:05:03.608998
Analysis finished2023-12-10 16:05:03.967121
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
식품제조가공업
173 

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 173
100.0%

Length

2023-12-11T01:05:04.030320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:05:04.142283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 173
100.0%

업소명
Text

Distinct170
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T01:05:04.409965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length7.5144509
Min length3

Characters and Unicode

Total characters1300
Distinct characters250
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

Unique167 ?
Unique (%)96.5%

Sample

1st row일광제과
2nd row(주)부산세광식품
3rd row(주)고려푸드뱅크
4th row대한항공씨앤디서비스 주식회사
5th row(주)다감
ValueCountFrequency (%)
주식회사 26
 
11.8%
농업회사법인 5
 
2.3%
주)고성산업 2
 
0.9%
제1공장 2
 
0.9%
주)행운식품 2
 
0.9%
신아푸드 2
 
0.9%
주)젤텍 2
 
0.9%
승인식품 2
 
0.9%
주)돈키오태 1
 
0.5%
온유로스팅팩토리 1
 
0.5%
Other values (176) 176
79.6%
2023-12-11T01:05:04.794015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 86
 
6.6%
식 73
 
5.6%
( 62
 
4.8%
) 62
 
4.8%
48
 
3.7%
사 45
 
3.5%
품 41
 
3.2%
회 39
 
3.0%
푸 35
 
2.7%
드 35
 
2.7%
Other values (240) 774
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1076
82.8%
Open Punctuation 62
 
4.8%
Close Punctuation 62
 
4.8%
Space Separator 48
 
3.7%
Uppercase Letter 41
 
3.2%
Decimal Number 4
 
0.3%
Lowercase Letter 4
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 86
 
8.0%
식 73
 
6.8%
사 45
 
4.2%
품 41
 
3.8%
회 39
 
3.6%
푸 35
 
3.3%
드 35
 
3.3%
이 27
 
2.5%
스 26
 
2.4%
산 22
 
2.0%
Other values (215) 647
60.1%
Uppercase Letter
ValueCountFrequency (%)
F 7
17.1%
O 5
12.2%
C 4
9.8%
B 3
 
7.3%
E 3
 
7.3%
N 3
 
7.3%
I 2
 
4.9%
S 2
 
4.9%
D 2
 
4.9%
T 2
 
4.9%
Other values (6) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
r 2
50.0%
a 1
25.0%
e 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1076
82.8%
Common 179
 
13.8%
Latin 45
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 86
 
8.0%
식 73
 
6.8%
사 45
 
4.2%
품 41
 
3.8%
회 39
 
3.6%
푸 35
 
3.3%
드 35
 
3.3%
이 27
 
2.5%
스 26
 
2.4%
산 22
 
2.0%
Other values (215) 647
60.1%
Latin
ValueCountFrequency (%)
F 7
15.6%
O 5
11.1%
C 4
 
8.9%
B 3
 
6.7%
E 3
 
6.7%
N 3
 
6.7%
I 2
 
4.4%
S 2
 
4.4%
D 2
 
4.4%
r 2
 
4.4%
Other values (9) 12
26.7%
Common
ValueCountFrequency (%)
( 62
34.6%
) 62
34.6%
48
26.8%
& 3
 
1.7%
1 2
 
1.1%
2 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1076
82.8%
ASCII 224
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 86
 
8.0%
식 73
 
6.8%
사 45
 
4.2%
품 41
 
3.8%
회 39
 
3.6%
푸 35
 
3.3%
드 35
 
3.3%
이 27
 
2.5%
스 26
 
2.4%
산 22
 
2.0%
Other values (215) 647
60.1%
ASCII
ValueCountFrequency (%)
( 62
27.7%
) 62
27.7%
48
21.4%
F 7
 
3.1%
O 5
 
2.2%
C 4
 
1.8%
B 3
 
1.3%
E 3
 
1.3%
& 3
 
1.3%
N 3
 
1.3%
Other values (15) 24
 
10.7%

소재지(도로명)
Text

Distinct172
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T01:05:05.110605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length32
Min length22

Characters and Unicode

Total characters5536
Distinct characters124
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

Unique171 ?
Unique (%)98.8%

Sample

1st row부산광역시 강서구 녹산산업북로 388, A동 (송정동)
2nd row부산광역시 강서구 녹산산업중로 381 (송정동)
3rd row부산광역시 강서구 제도로1041번길 527-2 (강동동)
4th row부산광역시 강서구 테크센터로 55 (대저2동)
5th row부산광역시 강서구 낙동북로31번길 33-1 (강동동, , 33-2)
ValueCountFrequency (%)
부산광역시 177
17.6%
강서구 174
17.3%
대저1동 62
 
6.2%
1층 39
 
3.9%
송정동 31
 
3.1%
강동동 25
 
2.5%
대저2동 21
 
2.1%
명지동 16
 
1.6%
일부 12
 
1.2%
일부호 12
 
1.2%
Other values (290) 434
43.3%
2023-12-11T01:05:05.670937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
830
 
15.0%
1 284
 
5.1%
산 252
 
4.6%
동 246
 
4.4%
강 225
 
4.1%
부 205
 
3.7%
역 178
 
3.2%
광 177
 
3.2%
시 177
 
3.2%
서 177
 
3.2%
Other values (114) 2785
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3140
56.7%
Decimal Number 1067
 
19.3%
Space Separator 830
 
15.0%
Close Punctuation 174
 
3.1%
Open Punctuation 174
 
3.1%
Other Punctuation 86
 
1.6%
Dash Punctuation 51
 
0.9%
Uppercase Letter 14
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 252
 
8.0%
동 246
 
7.8%
강 225
 
7.2%
부 205
 
6.5%
역 178
 
5.7%
광 177
 
5.6%
시 177
 
5.6%
서 177
 
5.6%
구 174
 
5.5%
로 155
 
4.9%
Other values (96) 1174
37.4%
Decimal Number
ValueCountFrequency (%)
1 284
26.6%
2 175
16.4%
3 136
12.7%
5 80
 
7.5%
4 77
 
7.2%
8 75
 
7.0%
6 71
 
6.7%
9 58
 
5.4%
7 56
 
5.2%
0 55
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 9
64.3%
B 4
28.6%
C 1
 
7.1%
Space Separator
ValueCountFrequency (%)
830
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Other Punctuation
ValueCountFrequency (%)
, 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3140
56.7%
Common 2382
43.0%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 252
 
8.0%
동 246
 
7.8%
강 225
 
7.2%
부 205
 
6.5%
역 178
 
5.7%
광 177
 
5.6%
시 177
 
5.6%
서 177
 
5.6%
구 174
 
5.5%
로 155
 
4.9%
Other values (96) 1174
37.4%
Common
ValueCountFrequency (%)
830
34.8%
1 284
 
11.9%
2 175
 
7.3%
) 174
 
7.3%
( 174
 
7.3%
3 136
 
5.7%
, 86
 
3.6%
5 80
 
3.4%
4 77
 
3.2%
8 75
 
3.1%
Other values (5) 291
 
12.2%
Latin
ValueCountFrequency (%)
A 9
64.3%
B 4
28.6%
C 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3140
56.7%
ASCII 2396
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
830
34.6%
1 284
 
11.9%
2 175
 
7.3%
) 174
 
7.3%
( 174
 
7.3%
3 136
 
5.7%
, 86
 
3.6%
5 80
 
3.3%
4 77
 
3.2%
8 75
 
3.1%
Other values (8) 305
 
12.7%
Hangul
ValueCountFrequency (%)
산 252
 
8.0%
동 246
 
7.8%
강 225
 
7.2%
부 205
 
6.5%
역 178
 
5.7%
광 177
 
5.6%
시 177
 
5.6%
서 177
 
5.6%
구 174
 
5.5%
로 155
 
4.9%
Other values (96) 1174
37.4%

소재지전화
Text

MISSING 

Distinct113
Distinct (%)95.8%
Missing55
Missing (%)31.8%
Memory size1.5 KiB
2023-12-11T01:05:06.009839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.09322
Min length12

Characters and Unicode

Total characters1427
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

Unique108 ?
Unique (%)91.5%

Sample

1st row051-205-0993
2nd row051-264-4324
3rd row051-206-1034
4th row051-972-5924
5th row051-305-3464
ValueCountFrequency (%)
051-831-2111 2
 
1.7%
070-7793-0203 2
 
1.7%
051-831-4761 2
 
1.7%
051-832-8877 2
 
1.7%
051-941-1555 2
 
1.7%
051-973-2825 1
 
0.8%
051-271-0619 1
 
0.8%
051-832-8322 1
 
0.8%
051-502-5547 1
 
0.8%
070-4472-9725 1
 
0.8%
Other values (103) 103
87.3%
2023-12-11T01:05:06.494456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 236
16.5%
0 211
14.8%
1 208
14.6%
5 181
12.7%
7 114
8.0%
3 108
7.6%
2 90
 
6.3%
9 82
 
5.7%
8 72
 
5.0%
4 71
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1191
83.5%
Dash Punctuation 236
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
17.7%
1 208
17.5%
5 181
15.2%
7 114
9.6%
3 108
9.1%
2 90
7.6%
9 82
 
6.9%
8 72
 
6.0%
4 71
 
6.0%
6 54
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1427
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 236
16.5%
0 211
14.8%
1 208
14.6%
5 181
12.7%
7 114
8.0%
3 108
7.6%
2 90
 
6.3%
9 82
 
5.7%
8 72
 
5.0%
4 71
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 236
16.5%
0 211
14.8%
1 208
14.6%
5 181
12.7%
7 114
8.0%
3 108
7.6%
2 90
 
6.3%
9 82
 
5.7%
8 72
 
5.0%
4 71
 
5.0%

Missing values

2023-12-11T01:05:03.844894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:05:03.932829image/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)소재지전화
0식품제조가공업일광제과부산광역시 강서구 녹산산업북로 388, A동 (송정동)051-205-0993
1식품제조가공업(주)부산세광식품부산광역시 강서구 녹산산업중로 381 (송정동)051-264-4324
2식품제조가공업(주)고려푸드뱅크부산광역시 강서구 제도로1041번길 527-2 (강동동)051-206-1034
3식품제조가공업대한항공씨앤디서비스 주식회사부산광역시 강서구 테크센터로 55 (대저2동)051-972-5924
4식품제조가공업(주)다감부산광역시 강서구 낙동북로31번길 33-1 (강동동, , 33-2)051-305-3464
5식품제조가공업태광식품부산광역시 강서구 상덕로97번다길 16-12 (강동동)051-257-2772
6식품제조가공업장룡수산부산광역시 강서구 낙동남로682번가길 29 (녹산동)051-832-1155
7식품제조가공업(주)그린푸드부산광역시 강서구 녹산산단407로 65 (송정동)051-790-7701
8식품제조가공업(주)대강수산부산광역시 강서구 녹산산업북로 400 (송정동)051-831-1611
9식품제조가공업한국해양개발식품부산광역시 강서구 평강로 227-15 (대저1동)051-311-6782
업종명업소명소재지(도로명)소재지전화
163식품제조가공업하늘이 내려준 음식 하음부산광역시 강서구 평강로345번길 46, 1층 (대저1동)<NA>
164식품제조가공업봉평제분부산광역시 강서구 대저로221번나길 22-13 (대저1동)<NA>
165식품제조가공업(주)행복식품부산광역시 강서구 대저로235번길 46 (대저1동)051-900-7155
166식품제조가공업(주)더소스코리아부산광역시 강서구 녹산산단381로 39, 3호동 1층 (송정동)055-328-0677
167식품제조가공업(주)러블리강정부산광역시 강서구 명지국제6로 12, 비엠타워 404호 (명지동)<NA>
168식품제조가공업정푸드부산광역시 강서구 낙동북로188번길 29-22, 1층 (대저1동)<NA>
169식품제조가공업신아푸드부산광역시 강서구 대저로29번길 38, 1층 (대저1동)<NA>
170식품제조가공업(주)에스앤피푸드부산광역시 강서구 대저로3번길 144 (대저1동)<NA>
171식품제조가공업(주)가현식품부산광역시 강서구 대저중앙로172번길 32 (대저1동)<NA>
172식품제조가공업(주)라이옥푸드부산광역시 강서구 대저중앙로394번길 22-5 (대저1동)051-973-0425