Overview

Dataset statistics

Number of variables5
Number of observations166
Missing cells82
Missing cells (%)9.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory40.8 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description대전광역시 동구 관내 식육판매업 현황에 관한 자료로서,업종명, 업소명, 해당 영업소 주소 및 전화번호 등의 항목을 포함하고 있습니다.
Author대전광역시 동구
URLhttps://www.data.go.kr/data/15067187/fileData.do

Alerts

업종명 has constant value ""Constant
데이터 기준일 has constant value ""Constant
소재지전화 has 82 (49.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:05:07.996373
Analysis finished2023-12-12 08:05:08.506863
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
식육판매업
166 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 166
100.0%

Length

2023-12-12T17:05:08.579831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:05:08.714787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 166
100.0%

업소명
Text

Distinct164
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T17:05:09.002487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.0542169
Min length2

Characters and Unicode

Total characters1005
Distinct characters212
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

Unique162 ?
Unique (%)97.6%

Sample

1st row인동정육점
2nd row평화본점 이가네 평화정육점
3rd row한국정육점
4th row임천정육점
5th row정일육류마트
ValueCountFrequency (%)
주식회사 6
 
3.1%
정육 4
 
2.1%
농업회사법인 3
 
1.6%
푸드 3
 
1.6%
육가공 2
 
1.0%
개똥이네닭집 2
 
1.0%
평화정육점 2
 
1.0%
금강산축산 2
 
1.0%
한밭축산 1
 
0.5%
미트클럽 1
 
0.5%
Other values (165) 165
86.4%
2023-12-12T17:05:09.536483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
육 59
 
5.9%
정 54
 
5.4%
주 36
 
3.6%
산 36
 
3.6%
축 32
 
3.2%
점 31
 
3.1%
트 26
 
2.6%
25
 
2.5%
( 23
 
2.3%
) 23
 
2.3%
Other values (202) 660
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
92.0%
Space Separator 25
 
2.5%
Open Punctuation 23
 
2.3%
Close Punctuation 23
 
2.3%
Decimal Number 6
 
0.6%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
육 59
 
6.4%
정 54
 
5.8%
주 36
 
3.9%
산 36
 
3.9%
축 32
 
3.5%
점 31
 
3.4%
트 26
 
2.8%
식 22
 
2.4%
푸 19
 
2.1%
드 18
 
1.9%
Other values (191) 592
64.0%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
1 1
16.7%
0 1
16.7%
5 1
16.7%
6 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
92.0%
Common 78
 
7.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
육 59
 
6.4%
정 54
 
5.8%
주 36
 
3.9%
산 36
 
3.9%
축 32
 
3.5%
점 31
 
3.4%
트 26
 
2.8%
식 22
 
2.4%
푸 19
 
2.1%
드 18
 
1.9%
Other values (191) 592
64.0%
Common
ValueCountFrequency (%)
25
32.1%
( 23
29.5%
) 23
29.5%
3 2
 
2.6%
+ 1
 
1.3%
1 1
 
1.3%
0 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
Latin
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
92.0%
ASCII 80
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
육 59
 
6.4%
정 54
 
5.8%
주 36
 
3.9%
산 36
 
3.9%
축 32
 
3.5%
점 31
 
3.4%
트 26
 
2.8%
식 22
 
2.4%
푸 19
 
2.1%
드 18
 
1.9%
Other values (191) 592
64.0%
ASCII
ValueCountFrequency (%)
25
31.2%
( 23
28.7%
) 23
28.7%
3 2
 
2.5%
S 1
 
1.2%
F 1
 
1.2%
+ 1
 
1.2%
1 1
 
1.2%
0 1
 
1.2%
5 1
 
1.2%

영업소주소(도로명)
Text

Distinct159
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T17:05:09.828411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length25.487952
Min length20

Characters and Unicode

Total characters4231
Distinct characters127
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

Unique154 ?
Unique (%)92.8%

Sample

1st row대전광역시 동구 대전로 665 (인동)
2nd row대전광역시 동구 동서대로1572번길 187 (성남동)
3rd row대전광역시 동구 동대전로110번길 60 (대동)
4th row대전광역시 동구 백룡로6번길 104 (대동)
5th row대전광역시 동구 이화로 28 (대동)
ValueCountFrequency (%)
대전광역시 166
 
19.3%
동구 166
 
19.3%
낭월동 22
 
2.6%
가양동 19
 
2.2%
성남동 14
 
1.6%
삼성동 10
 
1.2%
하소동 10
 
1.2%
1층 10
 
1.2%
용운동 9
 
1.0%
대전로 9
 
1.0%
Other values (256) 424
49.4%
2023-12-12T17:05:10.284838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
693
16.4%
동 365
 
8.6%
대 225
 
5.3%
전 210
 
5.0%
시 172
 
4.1%
역 172
 
4.1%
구 169
 
4.0%
) 168
 
4.0%
( 168
 
4.0%
광 167
 
3.9%
Other values (117) 1722
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2427
57.4%
Decimal Number 704
 
16.6%
Space Separator 693
 
16.4%
Close Punctuation 168
 
4.0%
Open Punctuation 168
 
4.0%
Dash Punctuation 38
 
0.9%
Other Punctuation 33
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 365
15.0%
대 225
 
9.3%
전 210
 
8.7%
시 172
 
7.1%
역 172
 
7.1%
구 169
 
7.0%
광 167
 
6.9%
로 154
 
6.3%
길 89
 
3.7%
번 77
 
3.2%
Other values (102) 627
25.8%
Decimal Number
ValueCountFrequency (%)
1 155
22.0%
3 84
11.9%
2 77
10.9%
4 64
9.1%
7 63
8.9%
0 63
8.9%
6 57
 
8.1%
8 56
 
8.0%
5 53
 
7.5%
9 32
 
4.5%
Space Separator
ValueCountFrequency (%)
693
100.0%
Close Punctuation
ValueCountFrequency (%)
) 168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2427
57.4%
Common 1804
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 365
15.0%
대 225
 
9.3%
전 210
 
8.7%
시 172
 
7.1%
역 172
 
7.1%
구 169
 
7.0%
광 167
 
6.9%
로 154
 
6.3%
길 89
 
3.7%
번 77
 
3.2%
Other values (102) 627
25.8%
Common
ValueCountFrequency (%)
693
38.4%
) 168
 
9.3%
( 168
 
9.3%
1 155
 
8.6%
3 84
 
4.7%
2 77
 
4.3%
4 64
 
3.5%
7 63
 
3.5%
0 63
 
3.5%
6 57
 
3.2%
Other values (5) 212
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2427
57.4%
ASCII 1804
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
693
38.4%
) 168
 
9.3%
( 168
 
9.3%
1 155
 
8.6%
3 84
 
4.7%
2 77
 
4.3%
4 64
 
3.5%
7 63
 
3.5%
0 63
 
3.5%
6 57
 
3.2%
Other values (5) 212
 
11.8%
Hangul
ValueCountFrequency (%)
동 365
15.0%
대 225
 
9.3%
전 210
 
8.7%
시 172
 
7.1%
역 172
 
7.1%
구 169
 
7.0%
광 167
 
6.9%
로 154
 
6.3%
길 89
 
3.7%
번 77
 
3.2%
Other values (102) 627
25.8%

소재지전화
Text

MISSING 

Distinct84
Distinct (%)100.0%
Missing82
Missing (%)49.4%
Memory size1.4 KiB
2023-12-12T17:05:10.561893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1008
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

Unique84 ?
Unique (%)100.0%

Sample

1st row042-282-5176
2nd row042-623-8632
3rd row042-673-7585
4th row042-632-3337
5th row042-672-5071
ValueCountFrequency (%)
042-254-7999 1
 
1.2%
042-282-8403 1
 
1.2%
042-626-2525 1
 
1.2%
042-636-7782 1
 
1.2%
042-285-7044 1
 
1.2%
042-286-9401 1
 
1.2%
042-621-0778 1
 
1.2%
042-639-4007 1
 
1.2%
042-285-2029 1
 
1.2%
042-638-0021 1
 
1.2%
Other values (74) 74
88.1%
2023-12-12T17:05:11.135571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 202
20.0%
- 168
16.7%
0 119
11.8%
4 119
11.8%
3 90
8.9%
6 74
 
7.3%
7 57
 
5.7%
8 53
 
5.3%
5 47
 
4.7%
9 45
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 840
83.3%
Dash Punctuation 168
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 202
24.0%
0 119
14.2%
4 119
14.2%
3 90
10.7%
6 74
 
8.8%
7 57
 
6.8%
8 53
 
6.3%
5 47
 
5.6%
9 45
 
5.4%
1 34
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 202
20.0%
- 168
16.7%
0 119
11.8%
4 119
11.8%
3 90
8.9%
6 74
 
7.3%
7 57
 
5.7%
8 53
 
5.3%
5 47
 
4.7%
9 45
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 202
20.0%
- 168
16.7%
0 119
11.8%
4 119
11.8%
3 90
8.9%
6 74
 
7.3%
7 57
 
5.7%
8 53
 
5.3%
5 47
 
4.7%
9 45
 
4.5%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2023-11-07 00:00:00
Maximum2023-11-07 00:00:00
2023-12-12T17:05:11.277951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:05:11.381572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T17:05:08.331348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:05:08.460983image/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

업종명업소명영업소주소(도로명)소재지전화데이터 기준일
0식육판매업인동정육점대전광역시 동구 대전로 665 (인동)042-282-51762023-11-07
1식육판매업평화본점 이가네 평화정육점대전광역시 동구 동서대로1572번길 187 (성남동)042-623-86322023-11-07
2식육판매업한국정육점대전광역시 동구 동대전로110번길 60 (대동)042-673-75852023-11-07
3식육판매업임천정육점대전광역시 동구 백룡로6번길 104 (대동)<NA>2023-11-07
4식육판매업정일육류마트대전광역시 동구 이화로 28 (대동)042-632-33372023-11-07
5식육판매업단골정육점대전광역시 동구 태전로183번길 14 (삼성동)042-672-50712023-11-07
6식육판매업옥천축산대전광역시 동구 동산초교로23번길 15 (홍도동)042-624-38942023-11-07
7식육판매업축산물합동판매장대전광역시 동구 역전시장길 34 (정동)042-273-92752023-11-07
8식육판매업금강산축산대전광역시 동구 역전시장길 38 (중동)042-285-66622023-11-07
9식육판매업성신축산대전광역시 동구 역전시장길 56 (정동)042-273-04102023-11-07
업종명업소명영업소주소(도로명)소재지전화데이터 기준일
156식육판매업라밸리 정육대전광역시 동구 곤룡로 68-12(낭월동)<NA>2023-11-07
157식육판매업대성 육가공대전광역시 동구 우암로 260, 3동 (가양동)<NA>2023-11-07
158식육판매업구일푸드대전광역시 동구 동대전로248번길 120(가양동)<NA>2023-11-07
159식육판매업모닥대전광역시 동구 옥천로 303(삼정동)<NA>2023-11-07
160식육판매업엠푸드대전광역시 동구 백룡로5번길 139(자양동)<NA>2023-11-07
161식육판매업대성유통대전광역시 동구 우암로 260, 지하1층 (가양동)<NA>2023-11-07
162식육판매업백조한우마을대전광역시 동구 동서대로1683번길 9, 101호 (용전동)<NA>2023-11-07
163식육판매업황산벌한우대전광역시 동구 계족로505번길 63 (용전동)<NA>2023-11-07
164식육판매업주식회사아인미트대전광역시 동구 새울로 103, 용운축산 지하1층 (용운동)<NA>2023-11-07
165식육판매업삼시세끼고기반찬대전광역시 동구 대전로542번길 80-87, 102호 (천동)<NA>2023-11-07