Overview

Dataset statistics

Number of variables9
Number of observations55
Missing cells86
Missing cells (%)17.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory74.4 B

Variable types

Text4
DateTime2
Categorical3

Dataset

Description동물관련서비스업현황 데이터입니다. 사업장명칭, 신고일자, 영업내용, 소재지도로명주소, 소재지지번주소, 전화번호, 영업상태구분, 폐업일자 등의 데이터를 제공합니다.
Author경기도 여주시
URLhttps://www.data.go.kr/data/15038764/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지도로명주소 has 10 (18.2%) missing valuesMissing
전화번호 has 32 (58.2%) missing valuesMissing
폐업일자 has 44 (80.0%) missing valuesMissing

Reproduction

Analysis started2024-04-17 19:53:36.940445
Analysis finished2024-04-17 19:53:37.477238
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct38
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-18T04:53:37.606441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length6.3454545
Min length2

Characters and Unicode

Total characters349
Distinct characters120
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)43.6%

Sample

1st row테오
2nd row애견나라
3rd row퍼피퍼피
4th row만물농원
5th row녹지애견
ValueCountFrequency (%)
mong 4
 
4.7%
더 3
 
3.5%
어서오시개 3
 
3.5%
여주 3
 
3.5%
멍스타 3
 
3.5%
행복하개 3
 
3.5%
러블리펫 2
 
2.4%
야옹아 2
 
2.4%
플라잉독 2
 
2.4%
애견나라 2
 
2.4%
Other values (46) 58
68.2%
2024-04-18T04:53:37.891266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
8.6%
개 10
 
2.9%
하 9
 
2.6%
견 9
 
2.6%
애 8
 
2.3%
이 8
 
2.3%
멍 8
 
2.3%
G 8
 
2.3%
리 7
 
2.0%
아 6
 
1.7%
Other values (110) 246
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
75.4%
Space Separator 30
 
8.6%
Uppercase Letter 30
 
8.6%
Lowercase Letter 18
 
5.2%
Close Punctuation 4
 
1.1%
Open Punctuation 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 10
 
3.8%
하 9
 
3.4%
견 9
 
3.4%
애 8
 
3.0%
이 8
 
3.0%
멍 8
 
3.0%
리 7
 
2.7%
아 6
 
2.3%
몽 6
 
2.3%
로 5
 
1.9%
Other values (94) 187
71.1%
Lowercase Letter
ValueCountFrequency (%)
o 4
22.2%
i 4
22.2%
r 2
11.1%
m 2
11.1%
n 2
11.1%
g 2
11.1%
a 2
11.1%
Uppercase Letter
ValueCountFrequency (%)
G 8
26.7%
M 6
20.0%
O 6
20.0%
N 6
20.0%
H 2
 
6.7%
R 2
 
6.7%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
75.4%
Latin 48
 
13.8%
Common 38
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 10
 
3.8%
하 9
 
3.4%
견 9
 
3.4%
애 8
 
3.0%
이 8
 
3.0%
멍 8
 
3.0%
리 7
 
2.7%
아 6
 
2.3%
몽 6
 
2.3%
로 5
 
1.9%
Other values (94) 187
71.1%
Latin
ValueCountFrequency (%)
G 8
16.7%
M 6
12.5%
O 6
12.5%
N 6
12.5%
o 4
8.3%
i 4
8.3%
H 2
 
4.2%
R 2
 
4.2%
r 2
 
4.2%
m 2
 
4.2%
Other values (3) 6
12.5%
Common
ValueCountFrequency (%)
30
78.9%
) 4
 
10.5%
( 4
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
75.4%
ASCII 86
 
24.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
34.9%
G 8
 
9.3%
M 6
 
7.0%
O 6
 
7.0%
N 6
 
7.0%
) 4
 
4.7%
( 4
 
4.7%
o 4
 
4.7%
i 4
 
4.7%
H 2
 
2.3%
Other values (6) 12
 
14.0%
Hangul
ValueCountFrequency (%)
개 10
 
3.8%
하 9
 
3.4%
견 9
 
3.4%
애 8
 
3.0%
이 8
 
3.0%
멍 8
 
3.0%
리 7
 
2.7%
아 6
 
2.3%
몽 6
 
2.3%
로 5
 
1.9%
Other values (94) 187
71.1%

신고일자
Date

Distinct36
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2008-07-09 00:00:00
Maximum2022-05-13 00:00:00
2024-04-18T04:53:37.993377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:53:38.083630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

영업내용
Categorical

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
동물판매업(일반)
26 
동물미용업(일반)
14 
동물위탁관리업
13 
동물수입업
 
1
동물전시업
 
1

Length

Max length9
Median length9
Mean length8.3818182
Min length5

Unique

Unique2 ?
Unique (%)3.6%

Sample

1st row동물판매업(일반)
2nd row동물판매업(일반)
3rd row동물판매업(일반)
4th row동물판매업(일반)
5th row동물판매업(일반)

Common Values

ValueCountFrequency (%)
동물판매업(일반) 26
47.3%
동물미용업(일반) 14
25.5%
동물위탁관리업 13
23.6%
동물수입업 1
 
1.8%
동물전시업 1
 
1.8%

Length

2024-04-18T04:53:38.179061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:53:38.278877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업(일반 26
47.3%
동물미용업(일반 14
25.5%
동물위탁관리업 13
23.6%
동물수입업 1
 
1.8%
동물전시업 1
 
1.8%

소재지도로명주소
Text

MISSING 

Distinct27
Distinct (%)60.0%
Missing10
Missing (%)18.2%
Memory size572.0 B
2024-04-18T04:53:38.438570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length24.622222
Min length15

Characters and Unicode

Total characters1108
Distinct characters68
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

Unique14 ?
Unique (%)31.1%

Sample

1st row경기도 여주시 여흥로 149
2nd row경기도 여주시 대신면 후포2길 2-33
3rd row경기도 여주시 세종로 151
4th row경기도 여주시 세종로 38 (홍문동)
5th row경기도 여주시 대신면 여양1로 59
ValueCountFrequency (%)
경기도 45
17.9%
여주시 45
17.9%
1층 17
 
6.7%
홍문동 14
 
5.6%
세종로45번길 10
 
4.0%
38 6
 
2.4%
세종로 6
 
2.4%
하동 5
 
2.0%
모범빌딩 5
 
2.0%
39 5
 
2.0%
Other values (51) 94
37.3%
2024-04-18T04:53:38.723185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
18.7%
여 55
 
5.0%
1 50
 
4.5%
도 47
 
4.2%
경 46
 
4.2%
주 46
 
4.2%
기 45
 
4.1%
시 45
 
4.1%
로 38
 
3.4%
동 36
 
3.2%
Other values (58) 493
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 606
54.7%
Space Separator 207
 
18.7%
Decimal Number 191
 
17.2%
Open Punctuation 33
 
3.0%
Close Punctuation 33
 
3.0%
Other Punctuation 24
 
2.2%
Dash Punctuation 14
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 55
 
9.1%
도 47
 
7.8%
경 46
 
7.6%
주 46
 
7.6%
기 45
 
7.4%
시 45
 
7.4%
로 38
 
6.3%
동 36
 
5.9%
길 22
 
3.6%
층 21
 
3.5%
Other values (43) 205
33.8%
Decimal Number
ValueCountFrequency (%)
1 50
26.2%
4 28
14.7%
2 24
12.6%
3 22
11.5%
5 19
 
9.9%
9 16
 
8.4%
8 14
 
7.3%
6 12
 
6.3%
0 5
 
2.6%
7 1
 
0.5%
Space Separator
ValueCountFrequency (%)
207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 606
54.7%
Common 502
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 55
 
9.1%
도 47
 
7.8%
경 46
 
7.6%
주 46
 
7.6%
기 45
 
7.4%
시 45
 
7.4%
로 38
 
6.3%
동 36
 
5.9%
길 22
 
3.6%
층 21
 
3.5%
Other values (43) 205
33.8%
Common
ValueCountFrequency (%)
207
41.2%
1 50
 
10.0%
( 33
 
6.6%
) 33
 
6.6%
4 28
 
5.6%
, 24
 
4.8%
2 24
 
4.8%
3 22
 
4.4%
5 19
 
3.8%
9 16
 
3.2%
Other values (5) 46
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 606
54.7%
ASCII 502
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
41.2%
1 50
 
10.0%
( 33
 
6.6%
) 33
 
6.6%
4 28
 
5.6%
, 24
 
4.8%
2 24
 
4.8%
3 22
 
4.4%
5 19
 
3.8%
9 16
 
3.2%
Other values (5) 46
 
9.2%
Hangul
ValueCountFrequency (%)
여 55
 
9.1%
도 47
 
7.8%
경 46
 
7.6%
주 46
 
7.6%
기 45
 
7.4%
시 45
 
7.4%
로 38
 
6.3%
동 36
 
5.9%
길 22
 
3.6%
층 21
 
3.5%
Other values (43) 205
33.8%

소재지지번주소
Text

Distinct34
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-18T04:53:38.899714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.927273
Min length14

Characters and Unicode

Total characters1041
Distinct characters69
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

Unique21 ?
Unique (%)38.2%

Sample

1st row경기도 여주시 홍문동 35
2nd row경기도 여주시 상동 283-7
3rd row경기도 여주시 창동 113-1
4th row경기도 여주시 산북면 상품리 46-3
5th row경기도 여주시 세종대왕면 번도리 521
ValueCountFrequency (%)
경기도 55
22.7%
여주시 55
22.7%
홍문동 17
 
7.0%
창동 6
 
2.5%
현암동 5
 
2.1%
164-2 5
 
2.1%
164 5
 
2.1%
모범빌딩 5
 
2.1%
하동 5
 
2.1%
오학동 4
 
1.7%
Other values (52) 80
33.1%
2024-04-18T04:53:39.175643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
23.2%
도 56
 
5.4%
경 55
 
5.3%
기 55
 
5.3%
여 55
 
5.3%
주 55
 
5.3%
시 55
 
5.3%
1 48
 
4.6%
동 42
 
4.0%
- 37
 
3.6%
Other values (59) 341
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
53.4%
Space Separator 242
23.2%
Decimal Number 206
 
19.8%
Dash Punctuation 37
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 56
10.1%
경 55
9.9%
기 55
9.9%
여 55
9.9%
주 55
9.9%
시 55
9.9%
동 42
 
7.6%
문 17
 
3.1%
홍 17
 
3.1%
리 15
 
2.7%
Other values (47) 134
24.1%
Decimal Number
ValueCountFrequency (%)
1 48
23.3%
4 32
15.5%
3 25
12.1%
6 23
11.2%
8 19
 
9.2%
2 17
 
8.3%
0 15
 
7.3%
7 13
 
6.3%
5 12
 
5.8%
9 2
 
1.0%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
53.4%
Common 485
46.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 56
10.1%
경 55
9.9%
기 55
9.9%
여 55
9.9%
주 55
9.9%
시 55
9.9%
동 42
 
7.6%
문 17
 
3.1%
홍 17
 
3.1%
리 15
 
2.7%
Other values (47) 134
24.1%
Common
ValueCountFrequency (%)
242
49.9%
1 48
 
9.9%
- 37
 
7.6%
4 32
 
6.6%
3 25
 
5.2%
6 23
 
4.7%
8 19
 
3.9%
2 17
 
3.5%
0 15
 
3.1%
7 13
 
2.7%
Other values (2) 14
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
53.4%
ASCII 485
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
49.9%
1 48
 
9.9%
- 37
 
7.6%
4 32
 
6.6%
3 25
 
5.2%
6 23
 
4.7%
8 19
 
3.9%
2 17
 
3.5%
0 15
 
3.1%
7 13
 
2.7%
Other values (2) 14
 
2.9%
Hangul
ValueCountFrequency (%)
도 56
10.1%
경 55
9.9%
기 55
9.9%
여 55
9.9%
주 55
9.9%
시 55
9.9%
동 42
 
7.6%
문 17
 
3.1%
홍 17
 
3.1%
리 15
 
2.7%
Other values (47) 134
24.1%

전화번호
Text

MISSING 

Distinct16
Distinct (%)69.6%
Missing32
Missing (%)58.2%
Memory size572.0 B
2024-04-18T04:53:39.316082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.043478
Min length12

Characters and Unicode

Total characters277
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

Unique11 ?
Unique (%)47.8%

Sample

1st row031-882-0035
2nd row031-885-1661
3rd row031-881-2762
4th row031-884-8713
5th row031-884-3204
ValueCountFrequency (%)
031-885-1222 4
17.4%
031-885-1661 2
 
8.7%
031-882-5566 2
 
8.7%
031-883-5588 2
 
8.7%
031-883-8525 2
 
8.7%
031-882-0035 1
 
4.3%
031-881-2762 1
 
4.3%
031-884-8713 1
 
4.3%
031-884-3204 1
 
4.3%
031-885-7588 1
 
4.3%
Other values (6) 6
26.1%
2024-04-18T04:53:39.546332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 56
20.2%
- 46
16.6%
1 33
11.9%
0 31
11.2%
3 31
11.2%
5 25
9.0%
2 23
8.3%
6 18
 
6.5%
7 7
 
2.5%
4 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
83.4%
Dash Punctuation 46
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 56
24.2%
1 33
14.3%
0 31
13.4%
3 31
13.4%
5 25
10.8%
2 23
10.0%
6 18
 
7.8%
7 7
 
3.0%
4 5
 
2.2%
9 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 56
20.2%
- 46
16.6%
1 33
11.9%
0 31
11.2%
3 31
11.2%
5 25
9.0%
2 23
8.3%
6 18
 
6.5%
7 7
 
2.5%
4 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 56
20.2%
- 46
16.6%
1 33
11.9%
0 31
11.2%
3 31
11.2%
5 25
9.0%
2 23
8.3%
6 18
 
6.5%
7 7
 
2.5%
4 5
 
1.8%

영업상태구분
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
정상
41 
폐업
11 
휴업
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 41
74.5%
폐업 11
 
20.0%
휴업 3
 
5.5%

Length

2024-04-18T04:53:39.646545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:53:39.718807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 41
74.5%
폐업 11
 
20.0%
휴업 3
 
5.5%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)81.8%
Missing44
Missing (%)80.0%
Memory size572.0 B
Minimum2010-12-20 00:00:00
Maximum2023-05-23 00:00:00
2024-04-18T04:53:39.783638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:53:39.867278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-03-01
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-01
2nd row2024-03-01
3rd row2024-03-01
4th row2024-03-01
5th row2024-03-01

Common Values

ValueCountFrequency (%)
2024-03-01 55
100.0%

Length

2024-04-18T04:53:39.959121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:53:40.026226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-01 55
100.0%

Correlations

2024-04-18T04:53:40.074233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭신고일자영업내용소재지도로명주소소재지지번주소전화번호영업상태구분폐업일자
사업장명칭1.0000.9940.0000.9980.9991.0000.9891.000
신고일자0.9941.0000.0000.9950.9840.9590.8190.975
영업내용0.0000.0001.0000.0000.0000.0000.2190.000
소재지도로명주소0.9980.9950.0001.0001.0001.0000.7921.000
소재지지번주소0.9990.9840.0001.0001.0001.0000.9001.000
전화번호1.0000.9590.0001.0001.0001.0000.6761.000
영업상태구분0.9890.8190.2190.7920.9000.6761.000NaN
폐업일자1.0000.9750.0001.0001.0001.000NaN1.000
2024-04-18T04:53:40.166291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업내용영업상태구분
영업내용1.0000.161
영업상태구분0.1611.000
2024-04-18T04:53:40.226042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업내용영업상태구분
영업내용1.0000.161
영업상태구분0.1611.000

Missing values

2024-04-18T04:53:37.347927image/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.
2024-04-18T04:53:37.434413image/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

사업장명칭신고일자영업내용소재지도로명주소소재지지번주소전화번호영업상태구분폐업일자데이터기준일자
0테오2008-07-09동물판매업(일반)<NA>경기도 여주시 홍문동 35<NA>폐업2018-12-312024-03-01
1애견나라2008-07-09동물판매업(일반)경기도 여주시 여흥로 149경기도 여주시 상동 283-7031-882-0035정상<NA>2024-03-01
2퍼피퍼피2008-07-09동물판매업(일반)<NA>경기도 여주시 창동 113-1031-885-1661폐업2012-01-132024-03-01
3만물농원2008-07-21동물판매업(일반)<NA>경기도 여주시 산북면 상품리 46-3031-881-2762휴업<NA>2024-03-01
4녹지애견2008-07-21동물판매업(일반)<NA>경기도 여주시 세종대왕면 번도리 521031-884-8713폐업2010-12-202024-03-01
5나루터켄넬2008-07-21동물판매업(일반)<NA>경기도 여주시 세종대왕면 광대리 341-1<NA>정상<NA>2024-03-01
6여주켄넬2008-10-23동물판매업(일반)<NA>경기도 여주시 세종대왕면 내양리 346-76031-884-3204정상<NA>2024-03-01
7강아지와고양이2008-10-29동물판매업(일반)<NA>경기도 여주시 창동 148-15031-883-5588폐업2011-02-242024-03-01
8쿨펫 여주점2010-04-02동물판매업(일반)<NA>경기도 여주시 홍문동 384-1 이마트 1층031-885-7588휴업<NA>2024-03-01
9강아지와 고양이2011-03-08동물판매업(일반)<NA>경기도 여주시 창동 148-15031-883-5588휴업<NA>2024-03-01
사업장명칭신고일자영업내용소재지도로명주소소재지지번주소전화번호영업상태구분폐업일자데이터기준일자
45냥이나라 멍장군2018-09-27동물미용업(일반)경기도 여주시 가남읍 경충대로 1265경기도 여주시 가남읍 태평리 112031-886-8674폐업2019-04-082024-03-01
46애견나라2018-09-27동물미용업(일반)경기도 여주시 우암로 42 (하동)경기도 여주시 하동 407-5<NA>정상<NA>2024-03-01
47민트브러쉬2018-12-06동물미용업(일반)경기도 여주시 현암2길 28-10 (현암동)경기도 여주시 현암동 177-7031-896-0195정상<NA>2024-03-01
48야옹아 놀자2019-05-07동물미용업(일반)경기도 여주시 세종로45번길 39, 2층 (홍문동)경기도 여주시 홍문동 164-2<NA>정상<NA>2024-03-01
49뽀송하개2020-03-27동물미용업(일반)경기도 여주시 여흥로 128, 1층 (홍문동)경기도 여주시 홍문동 74-10<NA>정상<NA>2024-03-01
50멍멍야옹2020-10-29동물미용업(일반)경기도 여주시 여흥로33번길 22, 1층 (하동)경기도 여주시 하동 127031-883-4006정상<NA>2024-03-01
51팝콘이네2021-03-08동물미용업(일반)경기도 여주시 현암2길 68-1 (현암동)경기도 여주시 현암동 304-10<NA>정상<NA>2024-03-01
52몽몽몽(MONG MONG MONG)2021-06-08동물미용업(일반)경기도 여주시 현암로 11-32, 1층 (현암동)경기도 여주시 현암동 667-2<NA>정상<NA>2024-03-01
53사랑펫살롱2022-01-14동물미용업(일반)경기도 여주시 세종로 254-22, 1동 104호 (교동)경기도 여주시 교동 80<NA>정상<NA>2024-03-01
54마시멜로냥2022-05-13동물미용업(일반)경기도 여주시 도예로 83-15, 2층 (오학동)경기도 여주시 오학동 280<NA>정상<NA>2024-03-01