Overview

Dataset statistics

Number of variables5
Number of observations46
Missing cells2
Missing cells (%)0.9%
Duplicate rows1
Duplicate rows (%)2.2%
Total size in memory1.9 KiB
Average record size in memory42.9 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시영도구_식육즉석판매가공업현황_20230917
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15039872

Alerts

판매업구분명 has constant value ""Constant
Dataset has 1 (2.2%) duplicate rowsDuplicates
소재지주소(지번) has 2 (4.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:11:25.360440
Analysis finished2023-12-10 17:11:26.090100
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
식육즉석판매가공업
46 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육즉석판매가공업
2nd row식육즉석판매가공업
3rd row식육즉석판매가공업
4th row식육즉석판매가공업
5th row식육즉석판매가공업

Common Values

ValueCountFrequency (%)
식육즉석판매가공업 46
100.0%

Length

2023-12-11T02:11:26.189229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:11:26.336366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육즉석판매가공업 46
100.0%

사업장명칭
Text

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T02:11:26.676067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length5.8695652
Min length3

Characters and Unicode

Total characters270
Distinct characters91
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)91.3%

Sample

1st row호동고기마당
2nd row탑플러스마트 영도대교점
3rd row남항고기백화점
4th row대하정육
5th row원일식육점
ValueCountFrequency (%)
슈퍼식육점 2
 
3.7%
주)서원유통 2
 
3.7%
탑마트 2
 
3.7%
자연쿡 2
 
3.7%
우리축산 1
 
1.9%
빅마트 1
 
1.9%
호동고기마당 1
 
1.9%
안나식품 1
 
1.9%
거창식육점 1
 
1.9%
제이마트정육 1
 
1.9%
Other values (40) 40
74.1%
2023-12-11T02:11:27.274560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 27
 
10.0%
육 24
 
8.9%
식 19
 
7.0%
마 9
 
3.3%
8
 
3.0%
트 7
 
2.6%
영 7
 
2.6%
우 6
 
2.2%
정 6
 
2.2%
축 5
 
1.9%
Other values (81) 152
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
94.4%
Space Separator 8
 
3.0%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 27
 
10.6%
육 24
 
9.4%
식 19
 
7.5%
마 9
 
3.5%
트 7
 
2.7%
영 7
 
2.7%
우 6
 
2.4%
정 6
 
2.4%
축 5
 
2.0%
부 5
 
2.0%
Other values (77) 140
54.9%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
94.4%
Common 15
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 27
 
10.6%
육 24
 
9.4%
식 19
 
7.5%
마 9
 
3.5%
트 7
 
2.7%
영 7
 
2.7%
우 6
 
2.4%
정 6
 
2.4%
축 5
 
2.0%
부 5
 
2.0%
Other values (77) 140
54.9%
Common
ValueCountFrequency (%)
8
53.3%
( 3
 
20.0%
) 3
 
20.0%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
94.4%
ASCII 15
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 27
 
10.6%
육 24
 
9.4%
식 19
 
7.5%
마 9
 
3.5%
트 7
 
2.7%
영 7
 
2.7%
우 6
 
2.4%
정 6
 
2.4%
축 5
 
2.0%
부 5
 
2.0%
Other values (77) 140
54.9%
ASCII
ValueCountFrequency (%)
8
53.3%
( 3
 
20.0%
) 3
 
20.0%
2 1
 
6.7%

소재지주소(지번)
Text

MISSING 

Distinct42
Distinct (%)95.5%
Missing2
Missing (%)4.3%
Memory size500.0 B
2023-12-11T02:11:27.591960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length21.659091
Min length18

Characters and Unicode

Total characters953
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)90.9%

Sample

1st row부산광역시 영도구 영선동2가 3-4
2nd row부산광역시 영도구 대교동1가 76
3rd row부산광역시 영도구 영선동2가 2-15
4th row부산광역시 영도구 동삼동 1124-7
5th row부산광역시 영도구 남항동1가 200-5
ValueCountFrequency (%)
부산광역시 44
24.2%
영도구 44
24.2%
남항동1가 10
 
5.5%
영선동2가 10
 
5.5%
동삼동 7
 
3.8%
청학동 6
 
3.3%
봉래동2가 3
 
1.6%
봉래동3가 3
 
1.6%
224-3 2
 
1.1%
224-22 2
 
1.1%
Other values (50) 51
28.0%
2023-12-11T02:11:28.117390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
19.1%
2 64
 
6.7%
영 55
 
5.8%
동 51
 
5.4%
부 44
 
4.6%
광 44
 
4.6%
역 44
 
4.6%
시 44
 
4.6%
도 44
 
4.6%
구 44
 
4.6%
Other values (40) 337
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
56.1%
Decimal Number 198
 
20.8%
Space Separator 182
 
19.1%
Dash Punctuation 38
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 55
10.3%
동 51
9.5%
부 44
8.2%
광 44
8.2%
역 44
8.2%
시 44
8.2%
도 44
8.2%
구 44
8.2%
산 44
8.2%
가 32
 
6.0%
Other values (28) 89
16.6%
Decimal Number
ValueCountFrequency (%)
2 64
32.3%
1 43
21.7%
3 23
 
11.6%
4 14
 
7.1%
6 14
 
7.1%
7 12
 
6.1%
5 12
 
6.1%
0 7
 
3.5%
8 5
 
2.5%
9 4
 
2.0%
Space Separator
ValueCountFrequency (%)
182
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
56.1%
Common 418
43.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 55
10.3%
동 51
9.5%
부 44
8.2%
광 44
8.2%
역 44
8.2%
시 44
8.2%
도 44
8.2%
구 44
8.2%
산 44
8.2%
가 32
 
6.0%
Other values (28) 89
16.6%
Common
ValueCountFrequency (%)
182
43.5%
2 64
 
15.3%
1 43
 
10.3%
- 38
 
9.1%
3 23
 
5.5%
4 14
 
3.3%
6 14
 
3.3%
7 12
 
2.9%
5 12
 
2.9%
0 7
 
1.7%
Other values (2) 9
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
56.1%
ASCII 418
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
43.5%
2 64
 
15.3%
1 43
 
10.3%
- 38
 
9.1%
3 23
 
5.5%
4 14
 
3.3%
6 14
 
3.3%
7 12
 
2.9%
5 12
 
2.9%
0 7
 
1.7%
Other values (2) 9
 
2.2%
Hangul
ValueCountFrequency (%)
영 55
10.3%
동 51
9.5%
부 44
8.2%
광 44
8.2%
역 44
8.2%
시 44
8.2%
도 44
8.2%
구 44
8.2%
산 44
8.2%
가 32
 
6.0%
Other values (28) 89
16.6%

소재지주소(도로명)
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T02:11:28.540037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length27.717391
Min length22

Characters and Unicode

Total characters1275
Distinct characters72
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

Unique44 ?
Unique (%)95.7%

Sample

1st row부산광역시 영도구 남항로49번길 27 (영선동2가)
2nd row부산광역시 영도구 태종로 58-1 (대교동1가)
3rd row부산광역시 영도구 절영로43번길 55 (영선동2가)
4th row부산광역시 영도구 함지로 33 (동삼동)
5th row부산광역시 영도구 절영로49번길 39 (남항동1가)
ValueCountFrequency (%)
부산광역시 46
19.2%
영도구 46
19.2%
영선동2가 10
 
4.2%
남항동1가 9
 
3.8%
동삼동 7
 
2.9%
남항로41번길 6
 
2.5%
1층 6
 
2.5%
청학동 6
 
2.5%
절영로49번길 5
 
2.1%
남항로49번길 4
 
1.7%
Other values (72) 95
39.6%
2023-12-11T02:11:29.166465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
 
15.2%
영 71
 
5.6%
동 55
 
4.3%
1 53
 
4.2%
) 47
 
3.7%
부 46
 
3.6%
광 46
 
3.6%
역 46
 
3.6%
시 46
 
3.6%
도 46
 
3.6%
Other values (62) 625
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
60.3%
Decimal Number 203
 
15.9%
Space Separator 194
 
15.2%
Close Punctuation 47
 
3.7%
Open Punctuation 46
 
3.6%
Other Punctuation 9
 
0.7%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 71
 
9.2%
동 55
 
7.2%
부 46
 
6.0%
광 46
 
6.0%
역 46
 
6.0%
시 46
 
6.0%
도 46
 
6.0%
구 46
 
6.0%
산 46
 
6.0%
로 43
 
5.6%
Other values (47) 278
36.2%
Decimal Number
ValueCountFrequency (%)
1 53
26.1%
3 34
16.7%
2 27
13.3%
4 25
12.3%
9 21
 
10.3%
5 14
 
6.9%
8 9
 
4.4%
7 7
 
3.4%
0 7
 
3.4%
6 6
 
3.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
60.3%
Common 506
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 71
 
9.2%
동 55
 
7.2%
부 46
 
6.0%
광 46
 
6.0%
역 46
 
6.0%
시 46
 
6.0%
도 46
 
6.0%
구 46
 
6.0%
산 46
 
6.0%
로 43
 
5.6%
Other values (47) 278
36.2%
Common
ValueCountFrequency (%)
194
38.3%
1 53
 
10.5%
) 47
 
9.3%
( 46
 
9.1%
3 34
 
6.7%
2 27
 
5.3%
4 25
 
4.9%
9 21
 
4.2%
5 14
 
2.8%
, 9
 
1.8%
Other values (5) 36
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
60.3%
ASCII 506
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
38.3%
1 53
 
10.5%
) 47
 
9.3%
( 46
 
9.1%
3 34
 
6.7%
2 27
 
5.3%
4 25
 
4.9%
9 21
 
4.2%
5 14
 
2.8%
, 9
 
1.8%
Other values (5) 36
 
7.1%
Hangul
ValueCountFrequency (%)
영 71
 
9.2%
동 55
 
7.2%
부 46
 
6.0%
광 46
 
6.0%
역 46
 
6.0%
시 46
 
6.0%
도 46
 
6.0%
구 46
 
6.0%
산 46
 
6.0%
로 43
 
5.6%
Other values (47) 278
36.2%

소재지전화
Text

Distinct29
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T02:11:29.430326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length9.0434783
Min length4

Characters and Unicode

Total characters416
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)58.7%

Sample

1st row개인정보
2nd row개인정보
3rd row051-418-6086
4th row개인정보
5th row개인정보
ValueCountFrequency (%)
개인정보 17
37.0%
051-417-1599 2
 
4.3%
051-412-5444 1
 
2.2%
051-412-9929 1
 
2.2%
051-254-0162 1
 
2.2%
051-418-1405 1
 
2.2%
051-404-5252 1
 
2.2%
051-418-7991 1
 
2.2%
051-412-3023 1
 
2.2%
051-405-2681 1
 
2.2%
Other values (19) 19
41.3%
2023-12-11T02:11:29.893128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 64
15.4%
- 58
13.9%
0 50
12.0%
5 47
11.3%
4 39
9.4%
2 26
6.2%
개 17
 
4.1%
인 17
 
4.1%
정 17
 
4.1%
보 17
 
4.1%
Other values (5) 64
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
69.7%
Other Letter 68
 
16.3%
Dash Punctuation 58
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 64
22.1%
0 50
17.2%
5 47
16.2%
4 39
13.4%
2 26
9.0%
9 17
 
5.9%
8 16
 
5.5%
6 13
 
4.5%
3 11
 
3.8%
7 7
 
2.4%
Other Letter
ValueCountFrequency (%)
개 17
25.0%
인 17
25.0%
정 17
25.0%
보 17
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
83.7%
Hangul 68
 
16.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 64
18.4%
- 58
16.7%
0 50
14.4%
5 47
13.5%
4 39
11.2%
2 26
7.5%
9 17
 
4.9%
8 16
 
4.6%
6 13
 
3.7%
3 11
 
3.2%
Hangul
ValueCountFrequency (%)
개 17
25.0%
인 17
25.0%
정 17
25.0%
보 17
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
83.7%
Hangul 68
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 64
18.4%
- 58
16.7%
0 50
14.4%
5 47
13.5%
4 39
11.2%
2 26
7.5%
9 17
 
4.9%
8 16
 
4.6%
6 13
 
3.7%
3 11
 
3.2%
Hangul
ValueCountFrequency (%)
개 17
25.0%
인 17
25.0%
정 17
25.0%
보 17
25.0%

Correlations

2023-12-11T02:11:30.049323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭소재지주소(지번)소재지주소(도로명)소재지전화
사업장명칭1.0000.9991.0000.993
소재지주소(지번)0.9991.0001.0000.995
소재지주소(도로명)1.0001.0001.0001.000
소재지전화0.9930.9951.0001.000

Missing values

2023-12-11T02:11:25.866525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:11:26.024874image/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

판매업구분명사업장명칭소재지주소(지번)소재지주소(도로명)소재지전화
0식육즉석판매가공업호동고기마당부산광역시 영도구 영선동2가 3-4부산광역시 영도구 남항로49번길 27 (영선동2가)개인정보
1식육즉석판매가공업탑플러스마트 영도대교점부산광역시 영도구 대교동1가 76부산광역시 영도구 태종로 58-1 (대교동1가)개인정보
2식육즉석판매가공업남항고기백화점부산광역시 영도구 영선동2가 2-15부산광역시 영도구 절영로43번길 55 (영선동2가)051-418-6086
3식육즉석판매가공업대하정육부산광역시 영도구 동삼동 1124-7부산광역시 영도구 함지로 33 (동삼동)개인정보
4식육즉석판매가공업원일식육점부산광역시 영도구 남항동1가 200-5부산광역시 영도구 절영로49번길 39 (남항동1가)개인정보
5식육즉석판매가공업부광식육점부산광역시 영도구 영선동2가 40-1부산광역시 영도구 영선대로67번길 10 (영선동2가)051-412-1227
6식육즉석판매가공업삼부식육점부산광역시 영도구 청학동 152-59부산광역시 영도구 청학남로29번길 30 (청학동)051-412-3242
7식육즉석판매가공업봉래식육점부산광역시 영도구 봉래동3가 67-6 6통5반부산광역시 영도구 번영길 23 (봉래동3가)051-413-0421
8식육즉석판매가공업슈퍼식육점부산광역시 영도구 남항동1가 224-22부산광역시 영도구 남항로41번길 19 (남항동1가)051-417-1599
9식육즉석판매가공업김해식육점부산광역시 영도구 영선동2가 65-3부산광역시 영도구 남항로49번길 12 (영선동2가)051-416-5966
판매업구분명사업장명칭소재지주소(지번)소재지주소(도로명)소재지전화
36식육즉석판매가공업바른고기부산광역시 영도구 남항동1가 226-2부산광역시 영도구 남항로37번길 12 (남항동1가)개인정보
37식육즉석판매가공업자연쿡부산광역시 영도구 남항동1가 224-3부산광역시 영도구 절영로49번길 49, 1층 (남항동1가)개인정보
38식육즉석판매가공업둥이네 푸줏간부산광역시 영도구 동삼동 227-211부산광역시 영도구 웃서발로 63-1 (동삼동)051-404-5252
39식육즉석판매가공업영도식육점부산광역시 영도구 영선동2가 2-12부산광역시 영도구 남항로41번길 32-2 (영선동2가)051-418-1405
40식육즉석판매가공업총각 정육백화점부산광역시 영도구 영선동2가 62-1부산광역시 영도구 절영로49번길 68, 1층 (영선동2가)개인정보
41식육즉석판매가공업우리고기부산광역시 영도구 청학동 242부산광역시 영도구 태종로318번길 19 (청학동)개인정보
42식육즉석판매가공업자연쿡부산광역시 영도구 동삼동 231-39부산광역시 영도구 동삼로 73 (동삼동)051-254-0162
43식육즉석판매가공업밥차축산부산광역시 영도구 남항동1가 224-3부산광역시 영도구 절영로49번길 49(남항동1가)051-418-2254
44식육즉석판매가공업부자식육점부산광역시 영도구 봉래동2가 37-1부산광역시 영도구 태종로105번길 33, 1층 (봉래동2가)개인정보
45식육즉석판매가공업한우마을2부산광역시 영도구 봉래동3가 13-2부산광역시 영도구 태종로105번길 36, 봉빵 1층 (봉래동3가))개인정보

Duplicate rows

Most frequently occurring

판매업구분명사업장명칭소재지주소(지번)소재지주소(도로명)소재지전화# duplicates
0식육즉석판매가공업슈퍼식육점부산광역시 영도구 남항동1가 224-22부산광역시 영도구 남항로41번길 19 (남항동1가)051-417-15992