Overview

Dataset statistics

Number of variables4
Number of observations285
Missing cells136
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory32.5 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 남동구 동물관련업 현황에 데이터로 사업장 명칭, 영업의 내용, 소재지주소, 소재지번호 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15067017/fileData.do

Alerts

소재지번호 has 136 (47.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:31:58.217518
Analysis finished2023-12-12 11:31:58.996948
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct188
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T20:31:59.398857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.0877193
Min length2

Characters and Unicode

Total characters1735
Distinct characters284
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)38.6%

Sample

1st row(주)24시독스동물병원
2nd row(주)그린아쿠아펫
3rd row(주)에이플러스
4th row(주)제일티에스
5th row(주)하인
ValueCountFrequency (%)
동물병원 10
 
2.6%
인천점 7
 
1.8%
마이펫 4
 
1.0%
컴투펫 4
 
1.0%
도그아지트 3
 
0.8%
펫 3
 
0.8%
24시 3
 
0.8%
간석점 3
 
0.8%
유앤미펫 3
 
0.8%
블링캣 3
 
0.8%
Other values (229) 338
88.7%
2023-12-12T20:32:00.182952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
5.5%
펫 56
 
3.2%
이 52
 
3.0%
스 51
 
2.9%
물 46
 
2.7%
동 44
 
2.5%
원 43
 
2.5%
병 37
 
2.1%
애 30
 
1.7%
아 29
 
1.7%
Other values (274) 1251
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1509
87.0%
Space Separator 96
 
5.5%
Lowercase Letter 68
 
3.9%
Open Punctuation 14
 
0.8%
Close Punctuation 14
 
0.8%
Decimal Number 13
 
0.7%
Uppercase Letter 12
 
0.7%
Other Punctuation 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
펫 56
 
3.7%
이 52
 
3.4%
스 51
 
3.4%
물 46
 
3.0%
동 44
 
2.9%
원 43
 
2.8%
병 37
 
2.5%
애 30
 
2.0%
아 29
 
1.9%
견 27
 
1.8%
Other values (237) 1094
72.5%
Lowercase Letter
ValueCountFrequency (%)
e 9
13.2%
r 7
10.3%
o 7
10.3%
g 6
8.8%
a 5
 
7.4%
t 5
 
7.4%
s 5
 
7.4%
m 4
 
5.9%
l 3
 
4.4%
u 3
 
4.4%
Other values (9) 14
20.6%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
D 2
16.7%
S 2
16.7%
L 2
16.7%
Q 1
 
8.3%
F 1
 
8.3%
T 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 5
55.6%
' 2
 
22.2%
· 1
 
11.1%
# 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
4 5
38.5%
0 2
 
15.4%
7 1
 
7.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1509
87.0%
Common 146
 
8.4%
Latin 80
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
펫 56
 
3.7%
이 52
 
3.4%
스 51
 
3.4%
물 46
 
3.0%
동 44
 
2.9%
원 43
 
2.8%
병 37
 
2.5%
애 30
 
2.0%
아 29
 
1.9%
견 27
 
1.8%
Other values (237) 1094
72.5%
Latin
ValueCountFrequency (%)
e 9
 
11.2%
r 7
 
8.8%
o 7
 
8.8%
g 6
 
7.5%
a 5
 
6.2%
t 5
 
6.2%
s 5
 
6.2%
m 4
 
5.0%
C 3
 
3.8%
l 3
 
3.8%
Other values (16) 26
32.5%
Common
ValueCountFrequency (%)
96
65.8%
( 14
 
9.6%
) 14
 
9.6%
& 5
 
3.4%
2 5
 
3.4%
4 5
 
3.4%
0 2
 
1.4%
' 2
 
1.4%
· 1
 
0.7%
7 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1509
87.0%
ASCII 225
 
13.0%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
42.7%
( 14
 
6.2%
) 14
 
6.2%
e 9
 
4.0%
r 7
 
3.1%
o 7
 
3.1%
g 6
 
2.7%
a 5
 
2.2%
t 5
 
2.2%
s 5
 
2.2%
Other values (26) 57
25.3%
Hangul
ValueCountFrequency (%)
펫 56
 
3.7%
이 52
 
3.4%
스 51
 
3.4%
물 46
 
3.0%
동 44
 
2.9%
원 43
 
2.8%
병 37
 
2.5%
애 30
 
2.0%
아 29
 
1.9%
견 27
 
1.8%
Other values (237) 1094
72.5%
None
ValueCountFrequency (%)
· 1
100.0%

영업의내용
Categorical

Distinct7
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
미용
108 
판매
67 
위탁관리
66 
운송
19 
전시
 
10
Other values (2)
15 

Length

Max length4
Median length2
Mean length2.4631579
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미용
2nd row판매
3rd row판매
4th row판매
5th row판매

Common Values

ValueCountFrequency (%)
미용 108
37.9%
판매 67
23.5%
위탁관리 66
23.2%
운송 19
 
6.7%
전시 10
 
3.5%
생산 9
 
3.2%
수입 6
 
2.1%

Length

2023-12-12T20:32:00.464740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:32:00.696601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미용 108
37.9%
판매 67
23.5%
위탁관리 66
23.2%
운송 19
 
6.7%
전시 10
 
3.5%
생산 9
 
3.2%
수입 6
 
2.1%

소재지주소(도로명)
Text

Distinct194
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T20:32:01.164822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length31.614035
Min length21

Characters and Unicode

Total characters9010
Distinct characters171
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

Unique121 ?
Unique (%)42.5%

Sample

1st row인천광역시 남동구 남동대로 912, 유진빌딩 1층 (간석동)
2nd row인천광역시 남동구 예술로 198 (간석동)
3rd row인천광역시 남동구 예술로258번길 5 (간석동, 111호)
4th row인천광역시 남동구 인주대로 781 (구월동)
5th row인천광역시 남동구 장자북로 18, 1층 (장수동)
ValueCountFrequency (%)
인천광역시 285
 
16.2%
남동구 285
 
16.2%
구월동 73
 
4.1%
1층 69
 
3.9%
만수동 66
 
3.7%
간석동 63
 
3.6%
논현동 45
 
2.6%
2층 26
 
1.5%
백범로 23
 
1.3%
서창동 18
 
1.0%
Other values (350) 810
45.9%
2023-12-12T20:32:01.906106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1479
 
16.4%
동 605
 
6.7%
구 405
 
4.5%
1 393
 
4.4%
남 352
 
3.9%
인 315
 
3.5%
천 294
 
3.3%
시 293
 
3.3%
로 293
 
3.3%
역 292
 
3.2%
Other values (161) 4289
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5203
57.7%
Space Separator 1479
 
16.4%
Decimal Number 1458
 
16.2%
Open Punctuation 290
 
3.2%
Close Punctuation 290
 
3.2%
Other Punctuation 232
 
2.6%
Dash Punctuation 47
 
0.5%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 605
 
11.6%
구 405
 
7.8%
남 352
 
6.8%
인 315
 
6.1%
천 294
 
5.7%
시 293
 
5.6%
로 293
 
5.6%
역 292
 
5.6%
광 285
 
5.5%
층 120
 
2.3%
Other values (142) 1949
37.5%
Decimal Number
ValueCountFrequency (%)
1 393
27.0%
2 206
14.1%
0 169
11.6%
3 154
 
10.6%
5 118
 
8.1%
6 96
 
6.6%
7 95
 
6.5%
4 92
 
6.3%
9 69
 
4.7%
8 66
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
A 3
27.3%
S 1
 
9.1%
R 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 290
100.0%
Other Punctuation
ValueCountFrequency (%)
, 232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5203
57.7%
Common 3796
42.1%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 605
 
11.6%
구 405
 
7.8%
남 352
 
6.8%
인 315
 
6.1%
천 294
 
5.7%
시 293
 
5.6%
로 293
 
5.6%
역 292
 
5.6%
광 285
 
5.5%
층 120
 
2.3%
Other values (142) 1949
37.5%
Common
ValueCountFrequency (%)
1479
39.0%
1 393
 
10.4%
( 290
 
7.6%
) 290
 
7.6%
, 232
 
6.1%
2 206
 
5.4%
0 169
 
4.5%
3 154
 
4.1%
5 118
 
3.1%
6 96
 
2.5%
Other values (5) 369
 
9.7%
Latin
ValueCountFrequency (%)
B 6
54.5%
A 3
27.3%
S 1
 
9.1%
R 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5203
57.7%
ASCII 3807
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1479
38.8%
1 393
 
10.3%
( 290
 
7.6%
) 290
 
7.6%
, 232
 
6.1%
2 206
 
5.4%
0 169
 
4.4%
3 154
 
4.0%
5 118
 
3.1%
6 96
 
2.5%
Other values (9) 380
 
10.0%
Hangul
ValueCountFrequency (%)
동 605
 
11.6%
구 405
 
7.8%
남 352
 
6.8%
인 315
 
6.1%
천 294
 
5.7%
시 293
 
5.6%
로 293
 
5.6%
역 292
 
5.6%
광 285
 
5.5%
층 120
 
2.3%
Other values (142) 1949
37.5%

소재지번호
Text

MISSING 

Distinct96
Distinct (%)64.4%
Missing136
Missing (%)47.7%
Memory size2.4 KiB
2023-12-12T20:32:02.251813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.966443
Min length9

Characters and Unicode

Total characters1783
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

Unique55 ?
Unique (%)36.9%

Sample

1st row032-433-0075
2nd row02-2619-1285
3rd row032-427-3579
4th row070-7644-1557
5th row032-462-9444
ValueCountFrequency (%)
032-261-0916 3
 
2.0%
1670-2699 3
 
2.0%
032-465-9606 3
 
2.0%
032-212-4586 3
 
2.0%
032-465-9955 3
 
2.0%
032-471-0289 3
 
2.0%
032-463-9066 3
 
2.0%
032-423-5511 3
 
2.0%
032-469-0118 3
 
2.0%
032-433-9332 3
 
2.0%
Other values (86) 119
79.9%
2023-12-12T20:32:02.883400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 294
16.5%
2 272
15.3%
0 245
13.7%
3 227
12.7%
4 166
9.3%
6 110
 
6.2%
7 109
 
6.1%
5 103
 
5.8%
1 96
 
5.4%
9 88
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1489
83.5%
Dash Punctuation 294
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 272
18.3%
0 245
16.5%
3 227
15.2%
4 166
11.1%
6 110
7.4%
7 109
7.3%
5 103
 
6.9%
1 96
 
6.4%
9 88
 
5.9%
8 73
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 294
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1783
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 294
16.5%
2 272
15.3%
0 245
13.7%
3 227
12.7%
4 166
9.3%
6 110
 
6.2%
7 109
 
6.1%
5 103
 
5.8%
1 96
 
5.4%
9 88
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1783
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 294
16.5%
2 272
15.3%
0 245
13.7%
3 227
12.7%
4 166
9.3%
6 110
 
6.2%
7 109
 
6.1%
5 103
 
5.8%
1 96
 
5.4%
9 88
 
4.9%

Correlations

2023-12-12T20:32:03.059479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업의내용소재지번호
영업의내용1.0000.289
소재지번호0.2891.000

Missing values

2023-12-12T20:31:58.771177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:31:58.927524image/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

사업장명칭영업의내용소재지주소(도로명)소재지번호
0(주)24시독스동물병원미용인천광역시 남동구 남동대로 912, 유진빌딩 1층 (간석동)032-433-0075
1(주)그린아쿠아펫판매인천광역시 남동구 예술로 198 (간석동)02-2619-1285
2(주)에이플러스판매인천광역시 남동구 예술로258번길 5 (간석동, 111호)032-427-3579
3(주)제일티에스판매인천광역시 남동구 인주대로 781 (구월동)070-7644-1557
4(주)하인판매인천광역시 남동구 장자북로 18, 1층 (장수동)032-462-9444
524시 소래동물병원위탁관리인천광역시 남동구 소래역남로16번길 75, 1층 (논현동)032-438-3227
624시 소래동물병원미용인천광역시 남동구 소래역남로16번길 75, 1층 (논현동)032-438-3227
724시 유앤미동물병원미용인천광역시 남동구 남동대로 910, 동성빌딩 (간석동)032-433-0755
8D&C 동물병원미용인천광역시 남동구 백범로 457, 1층 (간석동)032-434-7525
9for cat&dog(포켓독)미용인천광역시 남동구 아암대로1503번길 32, 에코메트로11단지상가 201호 (논현동)032-433-3596
사업장명칭영업의내용소재지주소(도로명)소재지번호
275행복한동물병원미용인천광역시 남동구 구월로 314 (만수동)032-469-7588
276허니쥬판매인천광역시 남동구 남촌로122번길 62-8, 101호 (남촌동)<NA>
277허니캣생산인천광역시 남동구 구월말로4번길 1, 4층 (구월동)<NA>
278허니펫위탁관리인천광역시 남동구 간석로41번길 2 (간석동)032-424-6777
279허니펫미용인천광역시 남동구 간석로41번길 2 (간석동)032-424-6777
280헬로멍멍위탁관리인천광역시 남동구 아암대로1503번길 27, 에코메트로10단지상가 105호 (논현동)032-424-0095
281헬로멍멍미용인천광역시 남동구 아암대로1503번길 27, 에코메트로10단지상가 105호 (논현동)032-424-0095
282화이트 요가냥판매인천광역시 남동구 논고개로123번길 17, 710호 (논현동)032-423-5511
283화이트 요가냥전시인천광역시 남동구 논고개로123번길 17, 710호 (논현동)032-423-5511
284화이트 요가냥미용인천광역시 남동구 논고개로123번길 17, 710호 (논현동)032-423-5511