Overview

Dataset statistics

Number of variables8
Number of observations61
Missing cells5
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory67.2 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description경상남도 의령군에 소재한 이미용업소의 업소명, 소재지의 도로명과 지번주소, 전화번호, 업태명, 업체구분 데이터를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034257

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 업태명 and 1 other fieldsHigh correlation
업태명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
업체구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
소재지전화 has 5 (8.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:38:26.777436
Analysis finished2023-12-11 00:38:27.748237
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T09:38:28.080012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-11T09:38:28.231079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

업소명
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:38:28.591276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.2131148
Min length2

Characters and Unicode

Total characters318
Distinct characters116
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row동창이용원
2nd row대성이용원
3rd row대의이용원
4th row대신이용원
5th row신신이용원
ValueCountFrequency (%)
마산미용실 2
 
3.0%
피부관리실 2
 
3.0%
수헤어샵 1
 
1.5%
머리사랑 1
 
1.5%
강미영헤어샾 1
 
1.5%
서울미용실 1
 
1.5%
헤어풍경 1
 
1.5%
에스투 1
 
1.5%
헤어클럽 1
 
1.5%
여심미용실 1
 
1.5%
Other values (55) 55
82.1%
2023-12-11T09:38:28.994946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 27
 
8.5%
미 19
 
6.0%
이 19
 
6.0%
헤 17
 
5.3%
원 16
 
5.0%
어 16
 
5.0%
실 15
 
4.7%
리 8
 
2.5%
6
 
1.9%
신 5
 
1.6%
Other values (106) 170
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 312
98.1%
Space Separator 6
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 27
 
8.7%
미 19
 
6.1%
이 19
 
6.1%
헤 17
 
5.4%
원 16
 
5.1%
어 16
 
5.1%
실 15
 
4.8%
리 8
 
2.6%
신 5
 
1.6%
진 5
 
1.6%
Other values (105) 165
52.9%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 312
98.1%
Common 6
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 27
 
8.7%
미 19
 
6.1%
이 19
 
6.1%
헤 17
 
5.4%
원 16
 
5.1%
어 16
 
5.1%
실 15
 
4.8%
리 8
 
2.6%
신 5
 
1.6%
진 5
 
1.6%
Other values (105) 165
52.9%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 312
98.1%
ASCII 6
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 27
 
8.7%
미 19
 
6.1%
이 19
 
6.1%
헤 17
 
5.4%
원 16
 
5.1%
어 16
 
5.1%
실 15
 
4.8%
리 8
 
2.6%
신 5
 
1.6%
진 5
 
1.6%
Other values (105) 165
52.9%
ASCII
ValueCountFrequency (%)
6
100.0%

업소소재지(도로명)
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:38:29.282013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length23.262295
Min length18

Characters and Unicode

Total characters1419
Distinct characters84
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

Unique59 ?
Unique (%)96.7%

Sample

1st row경상남도 의령군 의령읍 백산로1길 6
2nd row경상남도 의령군 의령읍 의병로21길 25-8
3rd row경상남도 의령군 대의면 대의로 58
4th row경상남도 의령군 부림면 대한로 1756
5th row경상남도 의령군 부림면 대한로 1774
ValueCountFrequency (%)
경상남도 61
19.1%
의령군 61
19.1%
의령읍 41
 
12.9%
부림면 14
 
4.4%
의병로 10
 
3.1%
대한로 6
 
1.9%
충익로 6
 
1.9%
신번로 6
 
1.9%
의병로14길 5
 
1.6%
의병로22길 5
 
1.6%
Other values (89) 104
32.6%
2023-12-11T09:38:29.695668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
18.2%
의 139
 
9.8%
령 102
 
7.2%
상 64
 
4.5%
경 61
 
4.3%
남 61
 
4.3%
도 61
 
4.3%
군 61
 
4.3%
로 61
 
4.3%
1 60
 
4.2%
Other values (74) 491
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
61.8%
Space Separator 258
 
18.2%
Decimal Number 231
 
16.3%
Dash Punctuation 26
 
1.8%
Uppercase Letter 12
 
0.8%
Other Punctuation 9
 
0.6%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 139
15.8%
령 102
11.6%
상 64
 
7.3%
경 61
 
7.0%
남 61
 
7.0%
도 61
 
7.0%
군 61
 
7.0%
로 61
 
7.0%
읍 41
 
4.7%
병 34
 
3.9%
Other values (55) 192
21.9%
Decimal Number
ValueCountFrequency (%)
1 60
26.0%
2 42
18.2%
7 28
12.1%
4 21
 
9.1%
3 21
 
9.1%
5 16
 
6.9%
9 12
 
5.2%
6 12
 
5.2%
0 12
 
5.2%
8 7
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
W 3
25.0%
E 3
25.0%
I 3
25.0%
V 3
25.0%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 877
61.8%
Common 530
37.4%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 139
15.8%
령 102
11.6%
상 64
 
7.3%
경 61
 
7.0%
남 61
 
7.0%
도 61
 
7.0%
군 61
 
7.0%
로 61
 
7.0%
읍 41
 
4.7%
병 34
 
3.9%
Other values (55) 192
21.9%
Common
ValueCountFrequency (%)
258
48.7%
1 60
 
11.3%
2 42
 
7.9%
7 28
 
5.3%
- 26
 
4.9%
4 21
 
4.0%
3 21
 
4.0%
5 16
 
3.0%
9 12
 
2.3%
6 12
 
2.3%
Other values (5) 34
 
6.4%
Latin
ValueCountFrequency (%)
W 3
25.0%
E 3
25.0%
I 3
25.0%
V 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 877
61.8%
ASCII 542
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
47.6%
1 60
 
11.1%
2 42
 
7.7%
7 28
 
5.2%
- 26
 
4.8%
4 21
 
3.9%
3 21
 
3.9%
5 16
 
3.0%
9 12
 
2.2%
6 12
 
2.2%
Other values (9) 46
 
8.5%
Hangul
ValueCountFrequency (%)
의 139
15.8%
령 102
11.6%
상 64
 
7.3%
경 61
 
7.0%
남 61
 
7.0%
도 61
 
7.0%
군 61
 
7.0%
로 61
 
7.0%
읍 41
 
4.7%
병 34
 
3.9%
Other values (55) 192
21.9%

업소소재지(지번)
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:38:29.974456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length24.360656
Min length20

Characters and Unicode

Total characters1486
Distinct characters81
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row경상남도 의령군 의령읍 동동리 1030-2
2nd row경상남도 의령군 의령읍 중동리 411-14
3rd row경상남도 의령군 대의면 마쌍리 324
4th row경상남도 의령군 부림면 신반리 308
5th row경상남도 의령군 부림면 신반리 382
ValueCountFrequency (%)
경상남도 61
19.1%
의령군 61
19.1%
의령읍 42
13.2%
중동리 22
 
6.9%
서동리 17
 
5.3%
부림면 13
 
4.1%
신반리 12
 
3.8%
진승view주상복합아파트 3
 
0.9%
395 3
 
0.9%
동동리 3
 
0.9%
Other values (80) 82
25.7%
2023-12-11T09:38:30.421131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
307
20.7%
의 104
 
7.0%
령 103
 
6.9%
상 64
 
4.3%
경 61
 
4.1%
남 61
 
4.1%
도 61
 
4.1%
군 61
 
4.1%
리 60
 
4.0%
- 51
 
3.4%
Other values (71) 553
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 850
57.2%
Space Separator 307
 
20.7%
Decimal Number 266
 
17.9%
Dash Punctuation 51
 
3.4%
Uppercase Letter 12
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 104
12.2%
령 103
12.1%
상 64
 
7.5%
경 61
 
7.2%
남 61
 
7.2%
도 61
 
7.2%
군 61
 
7.2%
리 60
 
7.1%
동 49
 
5.8%
읍 42
 
4.9%
Other values (55) 184
21.6%
Decimal Number
ValueCountFrequency (%)
4 38
14.3%
1 37
13.9%
3 34
12.8%
8 31
11.7%
5 30
11.3%
0 23
8.6%
9 23
8.6%
6 20
7.5%
2 17
6.4%
7 13
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
E 3
25.0%
V 3
25.0%
I 3
25.0%
W 3
25.0%
Space Separator
ValueCountFrequency (%)
307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 850
57.2%
Common 624
42.0%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 104
12.2%
령 103
12.1%
상 64
 
7.5%
경 61
 
7.2%
남 61
 
7.2%
도 61
 
7.2%
군 61
 
7.2%
리 60
 
7.1%
동 49
 
5.8%
읍 42
 
4.9%
Other values (55) 184
21.6%
Common
ValueCountFrequency (%)
307
49.2%
- 51
 
8.2%
4 38
 
6.1%
1 37
 
5.9%
3 34
 
5.4%
8 31
 
5.0%
5 30
 
4.8%
0 23
 
3.7%
9 23
 
3.7%
6 20
 
3.2%
Other values (2) 30
 
4.8%
Latin
ValueCountFrequency (%)
E 3
25.0%
V 3
25.0%
I 3
25.0%
W 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 850
57.2%
ASCII 636
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
307
48.3%
- 51
 
8.0%
4 38
 
6.0%
1 37
 
5.8%
3 34
 
5.3%
8 31
 
4.9%
5 30
 
4.7%
0 23
 
3.6%
9 23
 
3.6%
6 20
 
3.1%
Other values (6) 42
 
6.6%
Hangul
ValueCountFrequency (%)
의 104
12.2%
령 103
12.1%
상 64
 
7.5%
경 61
 
7.2%
남 61
 
7.2%
도 61
 
7.2%
군 61
 
7.2%
리 60
 
7.1%
동 49
 
5.8%
읍 42
 
4.9%
Other values (55) 184
21.6%

소재지전화
Text

MISSING 

Distinct55
Distinct (%)98.2%
Missing5
Missing (%)8.2%
Memory size620.0 B
2023-12-11T09:38:30.713499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.071429
Min length12

Characters and Unicode

Total characters676
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

Unique54 ?
Unique (%)96.4%

Sample

1st row055-573-3265
2nd row055-573-3657
3rd row055-572-9042
4th row055-574-6748
5th row055-574-1912
ValueCountFrequency (%)
055-573-1909 2
 
3.6%
055-574-8482 1
 
1.8%
055-573-3265 1
 
1.8%
055-574-8923 1
 
1.8%
055-574-2110 1
 
1.8%
055-574-2244 1
 
1.8%
055-572-0192 1
 
1.8%
055-572-6258 1
 
1.8%
055-574-6395 1
 
1.8%
055-573-2772 1
 
1.8%
Other values (45) 45
80.4%
2023-12-11T09:38:31.133212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 192
28.4%
- 112
16.6%
7 80
11.8%
0 79
11.7%
2 47
 
7.0%
3 41
 
6.1%
4 37
 
5.5%
1 25
 
3.7%
9 22
 
3.3%
6 22
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 564
83.4%
Dash Punctuation 112
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 192
34.0%
7 80
14.2%
0 79
14.0%
2 47
 
8.3%
3 41
 
7.3%
4 37
 
6.6%
1 25
 
4.4%
9 22
 
3.9%
6 22
 
3.9%
8 19
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 676
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 192
28.4%
- 112
16.6%
7 80
11.8%
0 79
11.7%
2 47
 
7.0%
3 41
 
6.1%
4 37
 
5.5%
1 25
 
3.7%
9 22
 
3.3%
6 22
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 192
28.4%
- 112
16.6%
7 80
11.8%
0 79
11.7%
2 47
 
7.0%
3 41
 
6.1%
4 37
 
5.5%
1 25
 
3.7%
9 22
 
3.3%
6 22
 
3.3%

업태명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
일반미용업
36 
일반이용업
16 
네일아트업
5 
피부미용업
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 36
59.0%
일반이용업 16
26.2%
네일아트업 5
 
8.2%
피부미용업 4
 
6.6%

Length

2023-12-11T09:38:31.290169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:31.403637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반미용업 36
59.0%
일반이용업 16
26.2%
네일아트업 5
 
8.2%
피부미용업 4
 
6.6%

업체구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size620.0 B
미용업
25 
이용업
16 
미용업(일반)
13 
미용업(피부)
3 
미용업(손톱ㆍ발톱)
 
2
Other values (2)
 
2

Length

Max length20
Median length3
Mean length4.6229508
Min length3

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
미용업 25
41.0%
이용업 16
26.2%
미용업(일반) 13
21.3%
미용업(피부) 3
 
4.9%
미용업(손톱ㆍ발톱) 2
 
3.3%
미용업(종합) 1
 
1.6%
미용업(피부), 미용업(손톱ㆍ발톱) 1
 
1.6%

Length

2023-12-11T09:38:31.541520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:31.659702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미용업 25
40.3%
이용업 16
25.8%
미용업(일반 13
21.0%
미용업(피부 4
 
6.5%
미용업(손톱ㆍ발톱 3
 
4.8%
미용업(종합 1
 
1.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
2020-12-11
61 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-11
2nd row2020-12-11
3rd row2020-12-11
4th row2020-12-11
5th row2020-12-11

Common Values

ValueCountFrequency (%)
2020-12-11 61
100.0%

Length

2023-12-11T09:38:31.816917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:31.924867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-11 61
100.0%

Interactions

2023-12-11T09:38:27.435157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:38:32.003269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업소소재지(도로명)업소소재지(지번)소재지전화업태명업체구분
연번1.0001.0000.9540.9540.9540.9400.802
업소명1.0001.0000.9980.9980.9971.0001.000
업소소재지(도로명)0.9540.9981.0000.9980.9970.9390.979
업소소재지(지번)0.9540.9980.9981.0001.0000.0000.504
소재지전화0.9540.9970.9971.0001.0000.0000.000
업태명0.9401.0000.9390.0000.0001.0000.868
업체구분0.8021.0000.9790.5040.0000.8681.000
2023-12-11T09:38:32.110665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업체구분
업태명1.0000.781
업체구분0.7811.000
2023-12-11T09:38:32.192564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명업체구분
연번1.0000.8070.556
업태명0.8071.0000.781
업체구분0.5560.7811.000

Missing values

2023-12-11T09:38:27.564170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:38:27.703779image/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

연번업소명업소소재지(도로명)업소소재지(지번)소재지전화업태명업체구분데이터기준일
01동창이용원경상남도 의령군 의령읍 백산로1길 6경상남도 의령군 의령읍 동동리 1030-2055-573-3265일반이용업이용업2020-12-11
12대성이용원경상남도 의령군 의령읍 의병로21길 25-8경상남도 의령군 의령읍 중동리 411-14055-573-3657일반이용업이용업2020-12-11
23대의이용원경상남도 의령군 대의면 대의로 58경상남도 의령군 대의면 마쌍리 324055-572-9042일반이용업이용업2020-12-11
34대신이용원경상남도 의령군 부림면 대한로 1756경상남도 의령군 부림면 신반리 308055-574-6748일반이용업이용업2020-12-11
45신신이용원경상남도 의령군 부림면 대한로 1774경상남도 의령군 부림면 신반리 382055-574-1912일반이용업이용업2020-12-11
56서암이용원경상남도 의령군 봉수면 청계로 2경상남도 의령군 봉수면 서암리 451055-572-3330일반이용업이용업2020-12-11
67태양이용원경상남도 의령군 의령읍 의병로23길 6-10경상남도 의령군 의령읍 동동리 1481-2055-573-2155일반이용업이용업2020-12-11
78정곡이용원경상남도 의령군 낙서면 낙동강로3길 4경상남도 의령군 낙서면 정곡리 1160-4055-572-7050일반이용업이용업2020-12-11
89신라이용원경상남도 의령군 의령읍 의병로 203경상남도 의령군 의령읍 서동리 480-14055-573-3589일반이용업이용업2020-12-11
910행복이용원경상남도 의령군 의령읍 의병로 195-1경상남도 의령군 의령읍 서동리 303-1055-574-7695일반이용업이용업2020-12-11
연번업소명업소소재지(도로명)업소소재지(지번)소재지전화업태명업체구분데이터기준일
5152차밍화장품 피부관리실경상남도 의령군 의령읍 의병로20길 8경상남도 의령군 의령읍 서동리 491-15055-572-1331피부미용업미용업(일반)2020-12-11
5253미 피부관리실경상남도 의령군 의령읍 의병로 219-1경상남도 의령군 의령읍 서동리 485-5055-573-5630피부미용업미용업(일반)2020-12-11
5354유니뷰티경상남도 의령군 의령읍 의병로16길 8경상남도 의령군 의령읍 서동리 492-160507-1317-1104피부미용업미용업(일반)2020-12-11
5455디올스킨경상남도 의령군 의령읍 의병로22길 7-7, 2층 (진승VIEW주상복합아파트)경상남도 의령군 의령읍 중동리 395 진승VIEW주상복합아파트055-573-1909피부미용업미용업(피부)2020-12-11
5556허인순헤어리드경상남도 의령군 부림면 대한로 1747경상남도 의령군 부림면 신반리 168-34055-574-0505일반미용업미용업(피부)2020-12-11
5657네일스캔들경상남도 의령군 의령읍 의병로22길 13-9경상남도 의령군 의령읍 중동리 400-12055-573-1248네일아트업미용업(피부)2020-12-11
5758다정한 네일경상남도 의령군 의령읍 충익로 47-16경상남도 의령군 의령읍 중동리 337055-573-1577네일아트업미용업(종합)2020-12-11
5859봉숭아경상남도 의령군 의령읍 의병로14길 16-15, 꿈에그린빌 1층경상남도 의령군 의령읍 서동리 598-4 꿈에그린빌0507-1325-9656네일아트업미용업(손톱ㆍ발톱)2020-12-11
5960제이살롱경상남도 의령군 부림면 대한로 1741경상남도 의령군 부림면 신반리 168-2<NA>네일아트업미용업(손톱ㆍ발톱)2020-12-11
6061강유진뷰티샵경상남도 의령군 부림면 신번로7길 10-5경상남도 의령군 부림면 신번로7길 10-5<NA>네일아트업미용업(피부), 미용업(손톱ㆍ발톱)2020-12-11