Overview

Dataset statistics

Number of variables6
Number of observations819
Missing cells416
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.5 KiB
Average record size in memory48.2 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description대구광역시 북구 관내에서 운영 중인 축산물판매현황(판매업구분명, 사업장명칭, 주소, 전화번호 등)정보를 제공합니다.
URLhttps://www.data.go.kr/data/15030568/fileData.do

Alerts

영업상태구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 415 (50.7%) missing valuesMissing

Reproduction

Analysis started2023-10-09 18:43:41.841544
Analysis finished2023-10-09 18:43:43.057208
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매업구분명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
식육판매업
606 
우유류판매업
99 
축산물유통전문판매업
69 
식용란수집판매업
 
36
식육부산물전문판매업
 
9

Length

Max length10
Median length5
Mean length5.7289377
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 606
74.0%
우유류판매업 99
 
12.1%
축산물유통전문판매업 69
 
8.4%
식용란수집판매업 36
 
4.4%
식육부산물전문판매업 9
 
1.1%

Length

2023-10-10T03:43:43.261553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-10T03:43:43.596988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 606
74.0%
우유류판매업 99
 
12.1%
축산물유통전문판매업 69
 
8.4%
식용란수집판매업 36
 
4.4%
식육부산물전문판매업 9
 
1.1%

사업장명칭
Text

Distinct775
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-10-10T03:43:44.120986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.4151404
Min length1

Characters and Unicode

Total characters5254
Distinct characters420
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique736 ?
Unique (%)89.9%

Sample

1st row여러분 식육점
2nd row삼영식육점
3rd row황도식육점
4th row한일식육점
5th row동촌식육점
ValueCountFrequency (%)
주식회사 22
 
2.2%
유통 10
 
1.0%
농업회사법인 7
 
0.7%
축산 7
 
0.7%
푸드 6
 
0.6%
식육점 5
 
0.5%
주)그린식품 4
 
0.4%
매일우유 4
 
0.4%
주)에치와이 4
 
0.4%
식육식당 4
 
0.4%
Other values (858) 935
92.8%
2023-10-10T03:43:44.983101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
3.6%
식 178
 
3.4%
점 173
 
3.3%
유 170
 
3.2%
산 158
 
3.0%
대 157
 
3.0%
우 143
 
2.7%
축 130
 
2.5%
육 124
 
2.4%
주 120
 
2.3%
Other values (410) 3712
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4737
90.2%
Space Separator 189
 
3.6%
Close Punctuation 111
 
2.1%
Open Punctuation 107
 
2.0%
Uppercase Letter 80
 
1.5%
Lowercase Letter 19
 
0.4%
Other Punctuation 8
 
0.2%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 178
 
3.8%
점 173
 
3.7%
유 170
 
3.6%
산 158
 
3.3%
대 157
 
3.3%
우 143
 
3.0%
축 130
 
2.7%
육 124
 
2.6%
주 120
 
2.5%
통 111
 
2.3%
Other values (373) 3273
69.1%
Uppercase Letter
ValueCountFrequency (%)
D 10
12.5%
S 8
10.0%
G 8
10.0%
F 7
 
8.8%
A 6
 
7.5%
M 5
 
6.2%
J 5
 
6.2%
L 5
 
6.2%
K 4
 
5.0%
N 4
 
5.0%
Other values (10) 18
22.5%
Lowercase Letter
ValueCountFrequency (%)
o 6
31.6%
d 3
15.8%
f 3
15.8%
a 2
 
10.5%
t 1
 
5.3%
e 1
 
5.3%
m 1
 
5.3%
p 1
 
5.3%
c 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 6
75.0%
, 1
 
12.5%
. 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4736
90.1%
Common 418
 
8.0%
Latin 99
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 178
 
3.8%
점 173
 
3.7%
유 170
 
3.6%
산 158
 
3.3%
대 157
 
3.3%
우 143
 
3.0%
축 130
 
2.7%
육 124
 
2.6%
주 120
 
2.5%
통 111
 
2.3%
Other values (372) 3272
69.1%
Latin
ValueCountFrequency (%)
D 10
 
10.1%
S 8
 
8.1%
G 8
 
8.1%
F 7
 
7.1%
o 6
 
6.1%
A 6
 
6.1%
M 5
 
5.1%
J 5
 
5.1%
L 5
 
5.1%
K 4
 
4.0%
Other values (19) 35
35.4%
Common
ValueCountFrequency (%)
189
45.2%
) 111
26.6%
( 107
25.6%
& 6
 
1.4%
1 2
 
0.5%
9 1
 
0.2%
, 1
 
0.2%
. 1
 
0.2%
Han
ValueCountFrequency (%)
韓 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4736
90.1%
ASCII 517
 
9.8%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
36.6%
) 111
21.5%
( 107
20.7%
D 10
 
1.9%
S 8
 
1.5%
G 8
 
1.5%
F 7
 
1.4%
& 6
 
1.2%
o 6
 
1.2%
A 6
 
1.2%
Other values (27) 59
 
11.4%
Hangul
ValueCountFrequency (%)
식 178
 
3.8%
점 173
 
3.7%
유 170
 
3.6%
산 158
 
3.3%
대 157
 
3.3%
우 143
 
3.0%
축 130
 
2.7%
육 124
 
2.6%
주 120
 
2.5%
통 111
 
2.3%
Other values (372) 3272
69.1%
CJK
ValueCountFrequency (%)
韓 1
100.0%

영업상태구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
정상
819 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 819
100.0%

Length

2023-10-10T03:43:45.342178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-10T03:43:45.571910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 819
100.0%

소재지주소(지번)
Text

Distinct707
Distinct (%)86.4%
Missing1
Missing (%)0.1%
Memory size6.5 KiB
2023-10-10T03:43:45.943256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length20.97555
Min length16

Characters and Unicode

Total characters17158
Distinct characters152
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

Unique633 ?
Unique (%)77.4%

Sample

1st row대구광역시 북구 노원동2가 379
2nd row대구광역시 북구 칠성동1가 85
3rd row대구광역시 북구 칠성동1가 85
4th row대구광역시 북구 칠성동1가 91-1
5th row대구광역시 북구 칠성동1가 55-1
ValueCountFrequency (%)
대구광역시 818
23.3%
북구 818
23.3%
구암동 71
 
2.0%
산격동 70
 
2.0%
검단동 67
 
1.9%
태전동 52
 
1.5%
칠성동1가 48
 
1.4%
읍내동 48
 
1.4%
노원동3가 43
 
1.2%
관음동 42
 
1.2%
Other values (795) 1433
40.8%
2023-10-10T03:43:46.636506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3526
20.6%
구 1708
 
10.0%
1 954
 
5.6%
동 915
 
5.3%
시 851
 
5.0%
대 841
 
4.9%
북 819
 
4.8%
역 818
 
4.8%
광 818
 
4.8%
- 647
 
3.8%
Other values (142) 5261
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9061
52.8%
Decimal Number 3876
22.6%
Space Separator 3526
 
20.6%
Dash Punctuation 647
 
3.8%
Uppercase Letter 39
 
0.2%
Other Punctuation 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1708
18.9%
동 915
10.1%
시 851
9.4%
대 841
9.3%
북 819
9.0%
역 818
9.0%
광 818
9.0%
가 188
 
2.1%
산 168
 
1.9%
호 89
 
1.0%
Other values (119) 1846
20.4%
Decimal Number
ValueCountFrequency (%)
1 954
24.6%
2 465
12.0%
3 426
11.0%
7 370
 
9.5%
8 313
 
8.1%
6 310
 
8.0%
5 264
 
6.8%
4 264
 
6.8%
0 260
 
6.7%
9 250
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A 16
41.0%
B 10
25.6%
P 5
 
12.8%
T 5
 
12.8%
C 2
 
5.1%
E 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
b 1
33.3%
s 1
33.3%
d 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
/ 2
33.3%
Space Separator
ValueCountFrequency (%)
3526
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 647
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9061
52.8%
Common 8055
46.9%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1708
18.9%
동 915
10.1%
시 851
9.4%
대 841
9.3%
북 819
9.0%
역 818
9.0%
광 818
9.0%
가 188
 
2.1%
산 168
 
1.9%
호 89
 
1.0%
Other values (119) 1846
20.4%
Common
ValueCountFrequency (%)
3526
43.8%
1 954
 
11.8%
- 647
 
8.0%
2 465
 
5.8%
3 426
 
5.3%
7 370
 
4.6%
8 313
 
3.9%
6 310
 
3.8%
5 264
 
3.3%
4 264
 
3.3%
Other values (4) 516
 
6.4%
Latin
ValueCountFrequency (%)
A 16
38.1%
B 10
23.8%
P 5
 
11.9%
T 5
 
11.9%
C 2
 
4.8%
E 1
 
2.4%
b 1
 
2.4%
s 1
 
2.4%
d 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9061
52.8%
ASCII 8097
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3526
43.5%
1 954
 
11.8%
- 647
 
8.0%
2 465
 
5.7%
3 426
 
5.3%
7 370
 
4.6%
8 313
 
3.9%
6 310
 
3.8%
5 264
 
3.3%
4 264
 
3.3%
Other values (13) 558
 
6.9%
Hangul
ValueCountFrequency (%)
구 1708
18.9%
동 915
10.1%
시 851
9.4%
대 841
9.3%
북 819
9.0%
역 818
9.0%
광 818
9.0%
가 188
 
2.1%
산 168
 
1.9%
호 89
 
1.0%
Other values (119) 1846
20.4%

소재지전화
Text

MISSING 

Distinct387
Distinct (%)95.8%
Missing415
Missing (%)50.7%
Memory size6.5 KiB
2023-10-10T03:43:47.100488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.985149
Min length8

Characters and Unicode

Total characters4842
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

Unique372 ?
Unique (%)92.1%

Sample

1st row053-357-5673
2nd row053-424-0630
3rd row053-425-6491
4th row053-424-2938
5th row053-425-1526
ValueCountFrequency (%)
053-321-9900 4
 
1.0%
053-313-5858 2
 
0.5%
053-311-9969 2
 
0.5%
053-261-5484 2
 
0.5%
053-953-6700 2
 
0.5%
1899-8003 2
 
0.5%
053-958-2742 2
 
0.5%
053-351-8989 2
 
0.5%
053-320-2111 2
 
0.5%
053-321-1500 2
 
0.5%
Other values (377) 382
94.6%
2023-10-10T03:43:47.805717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 874
18.1%
- 806
16.6%
5 696
14.4%
0 628
13.0%
2 433
8.9%
1 295
 
6.1%
9 251
 
5.2%
4 244
 
5.0%
8 216
 
4.5%
7 207
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4036
83.4%
Dash Punctuation 806
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 874
21.7%
5 696
17.2%
0 628
15.6%
2 433
10.7%
1 295
 
7.3%
9 251
 
6.2%
4 244
 
6.0%
8 216
 
5.4%
7 207
 
5.1%
6 192
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 806
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4842
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 874
18.1%
- 806
16.6%
5 696
14.4%
0 628
13.0%
2 433
8.9%
1 295
 
6.1%
9 251
 
5.2%
4 244
 
5.0%
8 216
 
4.5%
7 207
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4842
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 874
18.1%
- 806
16.6%
5 696
14.4%
0 628
13.0%
2 433
8.9%
1 295
 
6.1%
9 251
 
5.2%
4 244
 
5.0%
8 216
 
4.5%
7 207
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
Minimum2023-07-28 00:00:00
Maximum2023-07-28 00:00:00
2023-10-10T03:43:48.032918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:43:48.236537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-10-10T03:43:42.517816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-10T03:43:42.737323image/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.
2023-10-10T03:43:42.947639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

판매업구분명사업장명칭영업상태구분소재지주소(지번)소재지전화데이터기준일자
0식육판매업여러분 식육점정상대구광역시 북구 노원동2가 379053-357-56732023-07-28
1식육판매업삼영식육점정상대구광역시 북구 칠성동1가 85053-424-06302023-07-28
2식육판매업황도식육점정상대구광역시 북구 칠성동1가 85053-425-64912023-07-28
3식육판매업한일식육점정상대구광역시 북구 칠성동1가 91-1053-424-29382023-07-28
4식육판매업동촌식육점정상대구광역시 북구 칠성동1가 55-1<NA>2023-07-28
5식육판매업함남식육점정상대구광역시 북구 대현동 321-70053-425-15262023-07-28
6식육판매업현대식육점정상대구광역시 북구 대현동 227-7053-941-92972023-07-28
7식육판매업대동식육점정상대구광역시 북구 산격동 1259-4053-953-51072023-07-28
8식육판매업왕우식육점정상대구광역시 북구 노원동1가 141053-358-63222023-07-28
9식육판매업북부식육점정상대구광역시 북구 노원동3가 870-9053-352-85232023-07-28
판매업구분명사업장명칭영업상태구분소재지주소(지번)소재지전화데이터기준일자
809축산물유통전문판매업주식회사 수미우정상대구광역시 북구 서변동 900-1<NA>2023-07-28
810축산물유통전문판매업미트체인정상대구광역시 북구 태전동 647<NA>2023-07-28
811식육판매업착한고기정상대구광역시 북구 동천동 876-5<NA>2023-07-28
812축산물유통전문판매업(주)스모프정상대구광역시 북구 읍내동 231-1053-314-92922023-07-28
813식육판매업서하유통정상대구광역시 북구 읍내동 1314<NA>2023-07-28
814식육판매업오복 축산정상대구광역시 북구 국우동 1082-13<NA>2023-07-28
815식용란수집판매업에스제이 유통정상대구광역시 북구 매천동 750 한신더휴웨스턴팰리스<NA>2023-07-28
816식육판매업대한축산정상대구광역시 북구 국우동 736<NA>2023-07-28
817식육판매업대영축산물도매센터정상대구광역시 북구 읍내동 1234-7 칠곡한서타운<NA>2023-07-28
818식육판매업엠제이 푸드정상대구광역시 북구 복현동 619-5<NA>2023-07-28