Overview

Dataset statistics

Number of variables6
Number of observations270
Missing cells95
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory48.5 B

Variable types

Categorical2
Text4

Dataset

Description경상남도 거창군 관내 이미용업소 현황에 대한 데이터로 업종, 업소명, 도로명주소, 지번주소, 전화번호 항목을 제공합니다.
Author경상남도 거창군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033384

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 95 (35.2%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:37:11.025405
Analysis finished2023-12-11 00:37:11.477232
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct15
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
일반미용업
161 
이용업
36 
피부미용업
31 
네일미용업
 
13
종합미용업
 
9
Other values (10)
20 

Length

Max length21
Median length5
Mean length5.3703704
Min length3

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row일반미용업
2nd row이용업
3rd row일반미용업
4th row일반미용업
5th row일반미용업

Common Values

ValueCountFrequency (%)
일반미용업 161
59.6%
이용업 36
 
13.3%
피부미용업 31
 
11.5%
네일미용업 13
 
4.8%
종합미용업 9
 
3.3%
화장+분장 미용업 4
 
1.5%
피부미용업+네일미용업 3
 
1.1%
일반미용업+네일미용업 3
 
1.1%
피부미용업+화장+분장 미용업 3
 
1.1%
일반미용업+피부미용업+화장+분장 미용업 2
 
0.7%
Other values (5) 5
 
1.9%

Length

2023-12-11T09:37:11.542176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 161
56.9%
이용업 36
 
12.7%
피부미용업 31
 
11.0%
네일미용업 13
 
4.6%
미용업 13
 
4.6%
종합미용업 9
 
3.2%
화장+분장 4
 
1.4%
피부미용업+네일미용업 3
 
1.1%
일반미용업+네일미용업 3
 
1.1%
피부미용업+화장+분장 3
 
1.1%
Other values (6) 7
 
2.5%

업소명
Text

Distinct268
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T09:37:11.821351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length5.3925926
Min length2

Characters and Unicode

Total characters1456
Distinct characters309
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

Unique266 ?
Unique (%)98.5%

Sample

1st row실로암
2nd row중마2구협동이발소
3rd row천생연분
4th row수정미용원
5th row댕기머리
ValueCountFrequency (%)
꾸밈 2
 
0.7%
현대이용원 2
 
0.7%
성영찬피부사랑 1
 
0.4%
헤어스토리 1
 
0.4%
하이바버샵 1
 
0.4%
백두산천지온천이용원 1
 
0.4%
조은이용원 1
 
0.4%
그린파크목욕탕컷트실 1
 
0.4%
동신헤어살롱 1
 
0.4%
갠지스 1
 
0.4%
Other values (264) 264
95.7%
2023-12-11T09:37:12.276474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 97
 
6.7%
헤 87
 
6.0%
용 76
 
5.2%
미 70
 
4.8%
이 58
 
4.0%
실 49
 
3.4%
원 36
 
2.5%
리 27
 
1.9%
스 25
 
1.7%
샵 23
 
1.6%
Other values (299) 908
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1351
92.8%
Lowercase Letter 35
 
2.4%
Uppercase Letter 22
 
1.5%
Other Punctuation 15
 
1.0%
Open Punctuation 12
 
0.8%
Close Punctuation 12
 
0.8%
Space Separator 6
 
0.4%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 97
 
7.2%
헤 87
 
6.4%
용 76
 
5.6%
미 70
 
5.2%
이 58
 
4.3%
실 49
 
3.6%
원 36
 
2.7%
리 27
 
2.0%
스 25
 
1.9%
샵 23
 
1.7%
Other values (261) 803
59.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
22.9%
i 6
17.1%
r 4
11.4%
l 4
11.4%
n 2
 
5.7%
a 2
 
5.7%
h 2
 
5.7%
v 1
 
2.9%
d 1
 
2.9%
c 1
 
2.9%
Other values (4) 4
11.4%
Uppercase Letter
ValueCountFrequency (%)
J 3
13.6%
T 3
13.6%
B 3
13.6%
E 2
9.1%
A 2
9.1%
K 2
9.1%
V 1
 
4.5%
F 1
 
4.5%
Y 1
 
4.5%
L 1
 
4.5%
Other values (3) 3
13.6%
Other Punctuation
ValueCountFrequency (%)
. 6
40.0%
# 4
26.7%
& 2
 
13.3%
, 2
 
13.3%
: 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
2 1
33.3%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1351
92.8%
Latin 57
 
3.9%
Common 48
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 97
 
7.2%
헤 87
 
6.4%
용 76
 
5.6%
미 70
 
5.2%
이 58
 
4.3%
실 49
 
3.6%
원 36
 
2.7%
리 27
 
2.0%
스 25
 
1.9%
샵 23
 
1.7%
Other values (261) 803
59.4%
Latin
ValueCountFrequency (%)
e 8
 
14.0%
i 6
 
10.5%
r 4
 
7.0%
l 4
 
7.0%
J 3
 
5.3%
T 3
 
5.3%
B 3
 
5.3%
n 2
 
3.5%
a 2
 
3.5%
E 2
 
3.5%
Other values (17) 20
35.1%
Common
ValueCountFrequency (%)
( 12
25.0%
) 12
25.0%
6
12.5%
. 6
12.5%
# 4
 
8.3%
& 2
 
4.2%
, 2
 
4.2%
3 1
 
2.1%
2 1
 
2.1%
: 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1351
92.8%
ASCII 105
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 97
 
7.2%
헤 87
 
6.4%
용 76
 
5.6%
미 70
 
5.2%
이 58
 
4.3%
실 49
 
3.6%
원 36
 
2.7%
리 27
 
2.0%
스 25
 
1.9%
샵 23
 
1.7%
Other values (261) 803
59.4%
ASCII
ValueCountFrequency (%)
( 12
 
11.4%
) 12
 
11.4%
e 8
 
7.6%
6
 
5.7%
. 6
 
5.7%
i 6
 
5.7%
r 4
 
3.8%
# 4
 
3.8%
l 4
 
3.8%
J 3
 
2.9%
Other values (28) 40
38.1%

영업소 주소(도로명)
Text

Distinct267
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T09:37:12.601617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length24.096296
Min length18

Characters and Unicode

Total characters6506
Distinct characters126
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

Unique264 ?
Unique (%)97.8%

Sample

1st row경상남도 거창군 가북면 용암로 13
2nd row경상남도 거창군 가조면 지산로 1480
3rd row경상남도 거창군 거창읍 상동8길 4
4th row경상남도 거창군 가조면 가조가야로 1110-14
5th row경상남도 거창군 거창읍 창남1길 47
ValueCountFrequency (%)
경상남도 270
17.5%
거창군 270
17.5%
거창읍 247
16.0%
1층 73
 
4.7%
중앙로 30
 
1.9%
2층 25
 
1.6%
시장길 20
 
1.3%
거창대로 15
 
1.0%
거열로 14
 
0.9%
가조면 12
 
0.8%
Other values (320) 564
36.6%
2023-12-11T09:37:13.124959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1270
19.5%
거 579
 
8.9%
창 550
 
8.5%
1 326
 
5.0%
상 300
 
4.6%
남 288
 
4.4%
군 271
 
4.2%
경 270
 
4.2%
도 270
 
4.2%
읍 247
 
3.8%
Other values (116) 2135
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3986
61.3%
Space Separator 1270
 
19.5%
Decimal Number 1021
 
15.7%
Other Punctuation 117
 
1.8%
Dash Punctuation 48
 
0.7%
Open Punctuation 31
 
0.5%
Close Punctuation 31
 
0.5%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 579
14.5%
창 550
13.8%
상 300
 
7.5%
남 288
 
7.2%
군 271
 
6.8%
경 270
 
6.8%
도 270
 
6.8%
읍 247
 
6.2%
길 165
 
4.1%
로 164
 
4.1%
Other values (99) 882
22.1%
Decimal Number
ValueCountFrequency (%)
1 326
31.9%
2 151
14.8%
3 93
 
9.1%
4 91
 
8.9%
0 73
 
7.1%
6 72
 
7.1%
7 61
 
6.0%
5 58
 
5.7%
9 48
 
4.7%
8 48
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
1270
100.0%
Other Punctuation
ValueCountFrequency (%)
, 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3986
61.3%
Common 2518
38.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 579
14.5%
창 550
13.8%
상 300
 
7.5%
남 288
 
7.2%
군 271
 
6.8%
경 270
 
6.8%
도 270
 
6.8%
읍 247
 
6.2%
길 165
 
4.1%
로 164
 
4.1%
Other values (99) 882
22.1%
Common
ValueCountFrequency (%)
1270
50.4%
1 326
 
12.9%
2 151
 
6.0%
, 117
 
4.6%
3 93
 
3.7%
4 91
 
3.6%
0 73
 
2.9%
6 72
 
2.9%
7 61
 
2.4%
5 58
 
2.3%
Other values (5) 206
 
8.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3986
61.3%
ASCII 2520
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1270
50.4%
1 326
 
12.9%
2 151
 
6.0%
, 117
 
4.6%
3 93
 
3.7%
4 91
 
3.6%
0 73
 
2.9%
6 72
 
2.9%
7 61
 
2.4%
5 58
 
2.3%
Other values (7) 208
 
8.3%
Hangul
ValueCountFrequency (%)
거 579
14.5%
창 550
13.8%
상 300
 
7.5%
남 288
 
7.2%
군 271
 
6.8%
경 270
 
6.8%
도 270
 
6.8%
읍 247
 
6.2%
길 165
 
4.1%
로 164
 
4.1%
Other values (99) 882
22.1%

영업소 주소(지번)
Text

Distinct258
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T09:37:13.586817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length24.540741
Min length19

Characters and Unicode

Total characters6626
Distinct characters129
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

Unique246 ?
Unique (%)91.1%

Sample

1st row경상남도 거창군 가북면 우혜리 1880
2nd row경상남도 거창군 가조면 마상리 180-1
3rd row경상남도 거창군 거창읍 상림리 214-7
4th row경상남도 거창군 가조면 마상리 315-1
5th row경상남도 거창군 거창읍 김천리 49-2
ValueCountFrequency (%)
거창군 270
18.8%
경상남도 269
18.7%
거창읍 247
17.2%
중앙리 73
 
5.1%
대동리 69
 
4.8%
상림리 64
 
4.5%
김천리 18
 
1.3%
송정리 13
 
0.9%
가조면 12
 
0.8%
마상리 10
 
0.7%
Other values (325) 393
27.3%
2023-12-11T09:37:14.214985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1421
21.4%
거 524
 
7.9%
창 524
 
7.9%
상 355
 
5.4%
1 282
 
4.3%
리 274
 
4.1%
남 271
 
4.1%
군 271
 
4.1%
경 270
 
4.1%
도 269
 
4.1%
Other values (119) 2165
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3770
56.9%
Space Separator 1421
 
21.4%
Decimal Number 1182
 
17.8%
Dash Punctuation 244
 
3.7%
Other Punctuation 5
 
0.1%
Uppercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 524
13.9%
창 524
13.9%
상 355
9.4%
리 274
 
7.3%
남 271
 
7.2%
군 271
 
7.2%
경 270
 
7.2%
도 269
 
7.1%
읍 247
 
6.6%
동 80
 
2.1%
Other values (102) 685
18.2%
Decimal Number
ValueCountFrequency (%)
1 282
23.9%
2 153
12.9%
3 152
12.9%
8 101
 
8.5%
4 99
 
8.4%
5 94
 
8.0%
0 84
 
7.1%
7 83
 
7.0%
6 69
 
5.8%
9 65
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
1421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3770
56.9%
Common 2854
43.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 524
13.9%
창 524
13.9%
상 355
9.4%
리 274
 
7.3%
남 271
 
7.2%
군 271
 
7.2%
경 270
 
7.2%
도 269
 
7.1%
읍 247
 
6.6%
동 80
 
2.1%
Other values (102) 685
18.2%
Common
ValueCountFrequency (%)
1421
49.8%
1 282
 
9.9%
- 244
 
8.5%
2 153
 
5.4%
3 152
 
5.3%
8 101
 
3.5%
4 99
 
3.5%
5 94
 
3.3%
0 84
 
2.9%
7 83
 
2.9%
Other values (5) 141
 
4.9%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3770
56.9%
ASCII 2856
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1421
49.8%
1 282
 
9.9%
- 244
 
8.5%
2 153
 
5.4%
3 152
 
5.3%
8 101
 
3.5%
4 99
 
3.5%
5 94
 
3.3%
0 84
 
2.9%
7 83
 
2.9%
Other values (7) 143
 
5.0%
Hangul
ValueCountFrequency (%)
거 524
13.9%
창 524
13.9%
상 355
9.4%
리 274
 
7.3%
남 271
 
7.2%
군 271
 
7.2%
경 270
 
7.2%
도 269
 
7.1%
읍 247
 
6.6%
동 80
 
2.1%
Other values (102) 685
18.2%

소재지전화
Text

MISSING 

Distinct174
Distinct (%)99.4%
Missing95
Missing (%)35.2%
Memory size2.2 KiB
2023-12-11T09:37:14.465919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.462857
Min length12

Characters and Unicode

Total characters2181
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)98.9%

Sample

1st row 055-941-0508
2nd row 055-942-0195
3rd row 055-942-0369
4th row 055-942-0435
5th row 055-942-0931
ValueCountFrequency (%)
055-944-6120 2
 
1.1%
055-943-5377 1
 
0.6%
055-943-5573 1
 
0.6%
055-943-8770 1
 
0.6%
055-943-8759 1
 
0.6%
055-943-3630 1
 
0.6%
055-943-3640 1
 
0.6%
055-943-3774 1
 
0.6%
055-943-4142 1
 
0.6%
055-943-4145 1
 
0.6%
Other values (164) 164
93.7%
2023-12-11T09:37:14.849312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 454
20.8%
- 350
16.0%
0 270
12.4%
4 264
12.1%
9 225
10.3%
3 127
 
5.8%
2 102
 
4.7%
8 85
 
3.9%
7 84
 
3.9%
80
 
3.7%
Other values (2) 140
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1751
80.3%
Dash Punctuation 350
 
16.0%
Space Separator 80
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 454
25.9%
0 270
15.4%
4 264
15.1%
9 225
12.8%
3 127
 
7.3%
2 102
 
5.8%
8 85
 
4.9%
7 84
 
4.8%
1 78
 
4.5%
6 62
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 454
20.8%
- 350
16.0%
0 270
12.4%
4 264
12.1%
9 225
10.3%
3 127
 
5.8%
2 102
 
4.7%
8 85
 
3.9%
7 84
 
3.9%
80
 
3.7%
Other values (2) 140
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 454
20.8%
- 350
16.0%
0 270
12.4%
4 264
12.1%
9 225
10.3%
3 127
 
5.8%
2 102
 
4.7%
8 85
 
3.9%
7 84
 
3.9%
80
 
3.7%
Other values (2) 140
 
6.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-09-27
270 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-27
2nd row2023-09-27
3rd row2023-09-27
4th row2023-09-27
5th row2023-09-27

Common Values

ValueCountFrequency (%)
2023-09-27 270
100.0%

Length

2023-12-11T09:37:15.001223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:15.093703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-27 270
100.0%

Missing values

2023-12-11T09:37:11.350067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:37:11.440434image/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

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
0일반미용업실로암경상남도 거창군 가북면 용암로 13경상남도 거창군 가북면 우혜리 1880055-941-05082023-09-27
1이용업중마2구협동이발소경상남도 거창군 가조면 지산로 1480경상남도 거창군 가조면 마상리 180-1055-942-01952023-09-27
2일반미용업천생연분경상남도 거창군 거창읍 상동8길 4경상남도 거창군 거창읍 상림리 214-7055-942-03692023-09-27
3일반미용업수정미용원경상남도 거창군 가조면 가조가야로 1110-14경상남도 거창군 가조면 마상리 315-1055-942-04352023-09-27
4일반미용업댕기머리경상남도 거창군 거창읍 창남1길 47경상남도 거창군 거창읍 김천리 49-2055-942-09312023-09-27
5일반미용업나리미용실경상남도 거창군 가조면 가조가야로 1112-1경상남도 거창군 가조면 마상리 312-10055-942-09332023-09-27
6이용업신망애이용원경상남도 거창군 거창읍 거함대로 3200경상남도 거창군 거창읍 김천리 255-16055-942-16612023-09-27
7이용업현대이용경상남도 거창군 가북면 우혜1길 1경상남도 거창군 가북면 우혜리 1887-2055-942-20912023-09-27
8일반미용업유나미용실경상남도 거창군 거창읍 거창대로 85-1경상남도 거창군 거창읍 대동리 713-1055-942-37332023-09-27
9이용업덕신이용원경상남도 거창군 거창읍 중앙로 66-1경상남도 거창군 거창읍 상림리 195-3055-942-47462023-09-27
업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
260화장+분장 미용업라벨르샵경상남도 거창군 거창읍 시장길 47, 1층경상남도 거창군 거창읍 중앙리 121-2<NA>2023-09-27
261화장+분장 미용업봄메이크업경상남도 거창군 거창읍 수남로 2264경상남도 거창군 거창읍 김천리 352-11<NA>2023-09-27
262일반미용업+화장+분장 미용업뷰티온경상남도 거창군 거창읍 강변로1길 13-9, 1층경상남도 거창군 거창읍 상림리 544<NA>2023-09-27
263피부미용업+화장+분장 미용업정뷰티경상남도 거창군 거창읍 중앙로 127, 2층경상남도 거창군 거창읍 중앙리 290-2<NA>2023-09-27
264피부미용업+화장+분장 미용업샵(#)블링경상남도 거창군 거창읍 거열로 235, 1층 103호경상남도 거창군 거창읍 대동리 163-6 103호<NA>2023-09-27
265피부미용업+화장+분장 미용업Bive Atelier(비브아뜰리에)경상남도 거창군 거창읍 송정1길 16, 1층 4호경상남도 거창군 거창읍 송정리 1096-4 4호<NA>2023-09-27
266네일미용업+화장+분장 미용업김수경메이크업하우스경상남도 거창군 거창읍 공수들5길 54, 1층경상남도 거창군 거창읍 상림리 842<NA>2023-09-27
267일반미용업+피부미용업+화장+분장 미용업비엘(BL)대체의학건강연구소경상남도 거창군 거창읍 송정2길 33, 2층 205호 (거창푸르지오)경상남도 거창군 거창읍 송정리 1097 거창푸르지오 상가동(주10) 2층 205호<NA>2023-09-27
268일반미용업+네일미용업+화장+분장 미용업라니모&티.비.알.(T.B.R.)경상남도 거창군 거창읍 상동2길 51경상남도 거창군 거창읍 상림리 23-5<NA>2023-09-27
269피부미용업+네일미용업+화장+분장 미용업네일림경상남도 거창군 거창읍 중앙로 75, 1층 (거창고시텔)경상남도 거창군 거창읍 상림리 203 거창고시텔<NA>2023-09-27