Overview

Dataset statistics

Number of variables4
Number of observations366
Missing cells218
Missing cells (%)14.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description울산광역시 울주군 축산물판매업소 현황에 대한 데이터로 업종(식육판매업,우유류판매업,식용란수집판매업 등),상호,소재지,전화번호에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15102405/fileData.do

Alerts

전화번호 has 218 (59.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:39:36.981721
Analysis finished2023-12-12 11:39:37.769697
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
식육판매업
190 
식육즉석판매가공업
114 
우유류판매업
32 
축산물유통전문판매업
 
19
식용란수집판매업
 
9

Length

Max length10
Median length5
Mean length6.6939891
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 190
51.9%
식육즉석판매가공업 114
31.1%
우유류판매업 32
 
8.7%
축산물유통전문판매업 19
 
5.2%
식용란수집판매업 9
 
2.5%
식육부산물전문판매업 2
 
0.5%

Length

2023-12-12T20:39:37.909048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:39:38.123984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 190
51.9%
식육즉석판매가공업 114
31.1%
우유류판매업 32
 
8.7%
축산물유통전문판매업 19
 
5.2%
식용란수집판매업 9
 
2.5%
식육부산물전문판매업 2
 
0.5%

상호
Text

Distinct350
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:39:38.500732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.1420765
Min length2

Characters and Unicode

Total characters2614
Distinct characters322
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)91.3%

Sample

1st row진미불고기 주식회사
2nd row구미식육점
3rd row대중식육점
4th row중앙식육센타
5th row진미식육점
ValueCountFrequency (%)
주식회사 9
 
1.9%
식육점 8
 
1.7%
하나로마트 6
 
1.3%
언양점 4
 
0.8%
한우 4
 
0.8%
주)서원유통 4
 
0.8%
탑마트 4
 
0.8%
한우프라자 3
 
0.6%
직판장 3
 
0.6%
축산 3
 
0.6%
Other values (386) 429
89.9%
2023-12-12T20:39:39.195299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 133
 
5.1%
111
 
4.2%
식 106
 
4.1%
육 105
 
4.0%
산 88
 
3.4%
우 71
 
2.7%
마 60
 
2.3%
한 58
 
2.2%
축 56
 
2.1%
트 54
 
2.1%
Other values (312) 1772
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2381
91.1%
Space Separator 111
 
4.2%
Open Punctuation 47
 
1.8%
Close Punctuation 47
 
1.8%
Uppercase Letter 20
 
0.8%
Other Punctuation 5
 
0.2%
Decimal Number 1
 
< 0.1%
Other Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 133
 
5.6%
식 106
 
4.5%
육 105
 
4.4%
산 88
 
3.7%
우 71
 
3.0%
마 60
 
2.5%
한 58
 
2.4%
축 56
 
2.4%
트 54
 
2.3%
유 54
 
2.3%
Other values (292) 1596
67.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
15.0%
L 3
15.0%
Y 2
10.0%
O 2
10.0%
A 2
10.0%
C 2
10.0%
N 1
 
5.0%
P 1
 
5.0%
M 1
 
5.0%
K 1
 
5.0%
Other values (2) 2
10.0%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2377
90.9%
Common 211
 
8.1%
Latin 21
 
0.8%
Han 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 133
 
5.6%
식 106
 
4.5%
육 105
 
4.4%
산 88
 
3.7%
우 71
 
3.0%
마 60
 
2.5%
한 58
 
2.4%
축 56
 
2.4%
트 54
 
2.3%
유 54
 
2.3%
Other values (290) 1592
67.0%
Latin
ValueCountFrequency (%)
S 3
14.3%
L 3
14.3%
Y 2
9.5%
O 2
9.5%
A 2
9.5%
C 2
9.5%
N 1
 
4.8%
P 1
 
4.8%
M 1
 
4.8%
K 1
 
4.8%
Other values (3) 3
14.3%
Common
ValueCountFrequency (%)
111
52.6%
( 47
22.3%
) 47
22.3%
. 4
 
1.9%
6 1
 
0.5%
, 1
 
0.5%
Han
ValueCountFrequency (%)
牛 2
40.0%
福 2
40.0%
林 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2376
90.9%
ASCII 232
 
8.9%
CJK 5
 
0.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 133
 
5.6%
식 106
 
4.5%
육 105
 
4.4%
산 88
 
3.7%
우 71
 
3.0%
마 60
 
2.5%
한 58
 
2.4%
축 56
 
2.4%
트 54
 
2.3%
유 54
 
2.3%
Other values (289) 1591
67.0%
ASCII
ValueCountFrequency (%)
111
47.8%
( 47
20.3%
) 47
20.3%
. 4
 
1.7%
S 3
 
1.3%
L 3
 
1.3%
Y 2
 
0.9%
O 2
 
0.9%
A 2
 
0.9%
C 2
 
0.9%
Other values (9) 9
 
3.9%
CJK
ValueCountFrequency (%)
牛 2
40.0%
福 2
40.0%
林 1
20.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct341
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:39:39.775210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length24.300546
Min length19

Characters and Unicode

Total characters8894
Distinct characters215
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

Unique318 ?
Unique (%)86.9%

Sample

1st row울산광역시 울주군 언양읍 동문길 47
2nd row울산광역시 울주군 두동면 대밀길 15 (두동부동산)
3rd row울산광역시 울주군 청량읍 상남리 574-3
4th row울산광역시 울주군 두동면 두동로 1827
5th row울산광역시 울주군 청량읍 덕하장터길 4
ValueCountFrequency (%)
울산광역시 366
 
18.3%
울주군 366
 
18.3%
범서읍 80
 
4.0%
언양읍 76
 
3.8%
두동면 36
 
1.8%
온산읍 33
 
1.7%
온양읍 32
 
1.6%
삼남읍 32
 
1.6%
1층 27
 
1.4%
청량읍 25
 
1.3%
Other values (472) 923
46.2%
2023-12-12T20:39:40.618249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1640
18.4%
울 738
 
8.3%
산 408
 
4.6%
주 369
 
4.1%
역 368
 
4.1%
광 366
 
4.1%
군 366
 
4.1%
시 366
 
4.1%
1 318
 
3.6%
읍 282
 
3.2%
Other values (205) 3673
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5766
64.8%
Space Separator 1640
 
18.4%
Decimal Number 1238
 
13.9%
Dash Punctuation 94
 
1.1%
Other Punctuation 74
 
0.8%
Open Punctuation 37
 
0.4%
Close Punctuation 37
 
0.4%
Uppercase Letter 7
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 738
 
12.8%
산 408
 
7.1%
주 369
 
6.4%
역 368
 
6.4%
광 366
 
6.3%
군 366
 
6.3%
시 366
 
6.3%
읍 282
 
4.9%
길 234
 
4.1%
양 129
 
2.2%
Other values (185) 2140
37.1%
Decimal Number
ValueCountFrequency (%)
1 318
25.7%
2 196
15.8%
3 121
 
9.8%
4 109
 
8.8%
0 101
 
8.2%
6 93
 
7.5%
8 84
 
6.8%
5 82
 
6.6%
7 79
 
6.4%
9 55
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
G 2
28.6%
B 2
28.6%
A 1
14.3%
Space Separator
ValueCountFrequency (%)
1640
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5766
64.8%
Common 3120
35.1%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 738
 
12.8%
산 408
 
7.1%
주 369
 
6.4%
역 368
 
6.4%
광 366
 
6.3%
군 366
 
6.3%
시 366
 
6.3%
읍 282
 
4.9%
길 234
 
4.1%
양 129
 
2.2%
Other values (185) 2140
37.1%
Common
ValueCountFrequency (%)
1640
52.6%
1 318
 
10.2%
2 196
 
6.3%
3 121
 
3.9%
4 109
 
3.5%
0 101
 
3.2%
- 94
 
3.0%
6 93
 
3.0%
8 84
 
2.7%
5 82
 
2.6%
Other values (5) 282
 
9.0%
Latin
ValueCountFrequency (%)
M 2
25.0%
G 2
25.0%
B 2
25.0%
A 1
12.5%
c 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5766
64.8%
ASCII 3128
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1640
52.4%
1 318
 
10.2%
2 196
 
6.3%
3 121
 
3.9%
4 109
 
3.5%
0 101
 
3.2%
- 94
 
3.0%
6 93
 
3.0%
8 84
 
2.7%
5 82
 
2.6%
Other values (10) 290
 
9.3%
Hangul
ValueCountFrequency (%)
울 738
 
12.8%
산 408
 
7.1%
주 369
 
6.4%
역 368
 
6.4%
광 366
 
6.3%
군 366
 
6.3%
시 366
 
6.3%
읍 282
 
4.9%
길 234
 
4.1%
양 129
 
2.2%
Other values (185) 2140
37.1%

전화번호
Text

MISSING 

Distinct142
Distinct (%)95.9%
Missing218
Missing (%)59.6%
Memory size3.0 KiB
2023-12-12T20:39:41.034072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006757
Min length9

Characters and Unicode

Total characters1777
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

Unique136 ?
Unique (%)91.9%

Sample

1st row052-262-5550
2nd row052-262-9028
3rd row052-265-4204
4th row052-262-0432
5th row052-225-0149
ValueCountFrequency (%)
070-4223-3651 2
 
1.4%
052-237-2755 2
 
1.4%
052-254-9570 2
 
1.4%
052-710-5777 2
 
1.4%
052-249-7762 2
 
1.4%
052-222-4511 2
 
1.4%
052-254-6880 1
 
0.7%
052-249-7658 1
 
0.7%
052-264-4446 1
 
0.7%
052-222-3371 1
 
0.7%
Other values (132) 132
89.2%
2023-12-12T20:39:41.780148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 389
21.9%
- 295
16.6%
0 243
13.7%
5 221
12.4%
6 122
 
6.9%
4 115
 
6.5%
7 102
 
5.7%
1 83
 
4.7%
3 72
 
4.1%
8 69
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1482
83.4%
Dash Punctuation 295
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 389
26.2%
0 243
16.4%
5 221
14.9%
6 122
 
8.2%
4 115
 
7.8%
7 102
 
6.9%
1 83
 
5.6%
3 72
 
4.9%
8 69
 
4.7%
9 66
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 295
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1777
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 389
21.9%
- 295
16.6%
0 243
13.7%
5 221
12.4%
6 122
 
6.9%
4 115
 
6.5%
7 102
 
5.7%
1 83
 
4.7%
3 72
 
4.1%
8 69
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1777
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 389
21.9%
- 295
16.6%
0 243
13.7%
5 221
12.4%
6 122
 
6.9%
4 115
 
6.5%
7 102
 
5.7%
1 83
 
4.7%
3 72
 
4.1%
8 69
 
3.9%

Missing values

2023-12-12T20:39:37.540105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:39:37.706837image/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

업종상호소재지전화번호
0식육판매업진미불고기 주식회사울산광역시 울주군 언양읍 동문길 47052-262-5550
1식육판매업구미식육점울산광역시 울주군 두동면 대밀길 15 (두동부동산)<NA>
2식육판매업대중식육점울산광역시 울주군 청량읍 상남리 574-3<NA>
3식육판매업중앙식육센타울산광역시 울주군 두동면 두동로 1827052-262-9028
4식육판매업진미식육점울산광역시 울주군 청량읍 덕하장터길 4052-265-4204
5식육판매업만성식육점울산광역시 울주군 언양읍 읍성로 53052-262-0432
6식육판매업온양식육점울산광역시 울주군 온양읍 남창3길 6<NA>
7식육판매업웅촌식육점울산광역시 울주군 웅촌면 곡천동문길 33052-225-0149
8식육판매업중앙식육점울산광역시 울주군 온산읍 신온7길 62<NA>
9식육판매업우진식육점울산광역시 울주군 온산읍 온덕1길 25<NA>
업종상호소재지전화번호
356식육즉석판매가공업도시외양간울산광역시 울주군 웅촌면 대복리 591 101호070-8801-5569
357식육즉석판매가공업가온축산 구영점울산광역시 울주군 범서읍 구영로 86, GM프라자 207호<NA>
358식육즉석판매가공업만성축산울산광역시 울주군 청량읍 상남2길 6-18052-267-9666
359식육즉석판매가공업점6점울산광역시 울주군 삼남읍 울산역2길 86, 2동, 해든마트 내<NA>
360식육즉석판매가공업내츄럴마트울산광역시 울주군 언양읍 북문4길 15, 내츄럴슈퍼마켓<NA>
361식육즉석판매가공업고기파는총각들울산광역시 울주군 언양읍 장터1길 30<NA>
362식육즉석판매가공업해마루식육점울산광역시 울주군 언양읍 내곡능골길 93-20, 141동 105호 (양우내안애 더퍼스트 아파트)<NA>
363식육즉석판매가공업챔피언마트(축산)울산광역시 울주군 삼남읍 등억알프스로 94-8<NA>
364식육즉석판매가공업다복식품울산광역시 울주군 청량읍 상남길 5-28, 1층052-227-9964
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