Overview

Dataset statistics

Number of variables5
Number of observations1797
Missing cells1014
Missing cells (%)11.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.3 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description인천광역시 남동구 관내 미용업 영업신고 현황에 대한 데이터로 업종, 상호, 영업소소재지, 연락처 항목을 공개합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038944&srcSe=7661IVAWM27C61E190

Alerts

영업소 주소(도로명) has 26 (1.4%) missing valuesMissing
소재지전화 has 987 (54.9%) missing valuesMissing

Reproduction

Analysis started2024-01-28 06:20:07.438693
Analysis finished2024-01-28 06:20:08.276473
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
일반미용업
1171 
피부미용업
275 
네일아트업
264 
메이크업업
 
86
기타
 
1

Length

Max length5
Median length5
Mean length4.9983306
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 1171
65.2%
피부미용업 275
 
15.3%
네일아트업 264
 
14.7%
메이크업업 86
 
4.8%
기타 1
 
0.1%

Length

2024-01-28T15:20:08.329103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:20:08.411199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반미용업 1171
65.2%
피부미용업 275
 
15.3%
네일아트업 264
 
14.7%
메이크업업 86
 
4.8%
기타 1
 
0.1%

업소명
Text

Distinct1698
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2024-01-28T15:20:08.622549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length5.7078464
Min length1

Characters and Unicode

Total characters10257
Distinct characters618
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1622 ?
Unique (%)90.3%

Sample

1st row달님미장원
2nd row숙이헤어샵
3rd row샘터미용실
4th row영아미용실
5th row지영미용실
ValueCountFrequency (%)
헤어 34
 
1.6%
미용실 14
 
0.7%
네일 11
 
0.5%
hair 9
 
0.4%
제이헤어 7
 
0.3%
구월점 7
 
0.3%
nail 7
 
0.3%
리안헤어 7
 
0.3%
헤어샵 7
 
0.3%
살롱 7
 
0.3%
Other values (1806) 1954
94.7%
2024-01-28T15:20:08.951200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 779
 
7.6%
헤 757
 
7.4%
267
 
2.6%
미 261
 
2.5%
일 248
 
2.4%
스 241
 
2.3%
이 238
 
2.3%
네 235
 
2.3%
리 220
 
2.1%
용 124
 
1.2%
Other values (608) 6887
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9026
88.0%
Lowercase Letter 302
 
2.9%
Uppercase Letter 270
 
2.6%
Space Separator 267
 
2.6%
Close Punctuation 108
 
1.1%
Open Punctuation 108
 
1.1%
Decimal Number 88
 
0.9%
Other Punctuation 74
 
0.7%
Dash Punctuation 9
 
0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 779
 
8.6%
헤 757
 
8.4%
미 261
 
2.9%
일 248
 
2.7%
스 241
 
2.7%
이 238
 
2.6%
네 235
 
2.6%
리 220
 
2.4%
용 124
 
1.4%
라 124
 
1.4%
Other values (539) 5799
64.2%
Uppercase Letter
ValueCountFrequency (%)
H 27
 
10.0%
A 27
 
10.0%
N 24
 
8.9%
M 20
 
7.4%
S 18
 
6.7%
B 17
 
6.3%
J 17
 
6.3%
O 15
 
5.6%
L 15
 
5.6%
I 15
 
5.6%
Other values (14) 75
27.8%
Lowercase Letter
ValueCountFrequency (%)
a 46
15.2%
i 40
13.2%
l 33
10.9%
r 28
9.3%
n 26
8.6%
o 23
7.6%
s 19
6.3%
e 16
 
5.3%
h 14
 
4.6%
y 11
 
3.6%
Other values (13) 46
15.2%
Decimal Number
ValueCountFrequency (%)
1 19
21.6%
2 13
14.8%
5 11
12.5%
0 10
11.4%
3 8
9.1%
6 8
9.1%
4 7
 
8.0%
7 5
 
5.7%
9 4
 
4.5%
8 3
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 27
36.5%
, 20
27.0%
. 14
18.9%
# 8
 
10.8%
' 4
 
5.4%
: 1
 
1.4%
Space Separator
ValueCountFrequency (%)
267
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9018
87.9%
Common 659
 
6.4%
Latin 572
 
5.6%
Han 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 779
 
8.6%
헤 757
 
8.4%
미 261
 
2.9%
일 248
 
2.8%
스 241
 
2.7%
이 238
 
2.6%
네 235
 
2.6%
리 220
 
2.4%
용 124
 
1.4%
라 124
 
1.4%
Other values (535) 5791
64.2%
Latin
ValueCountFrequency (%)
a 46
 
8.0%
i 40
 
7.0%
l 33
 
5.8%
r 28
 
4.9%
H 27
 
4.7%
A 27
 
4.7%
n 26
 
4.5%
N 24
 
4.2%
o 23
 
4.0%
M 20
 
3.5%
Other values (37) 278
48.6%
Common
ValueCountFrequency (%)
267
40.5%
) 108
16.4%
( 108
16.4%
& 27
 
4.1%
, 20
 
3.0%
1 19
 
2.9%
. 14
 
2.1%
2 13
 
2.0%
5 11
 
1.7%
0 10
 
1.5%
Other values (12) 62
 
9.4%
Han
ValueCountFrequency (%)
美 5
62.5%
木 1
 
12.5%
火 1
 
12.5%
裝 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9018
87.9%
ASCII 1230
 
12.0%
CJK 8
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 779
 
8.6%
헤 757
 
8.4%
미 261
 
2.9%
일 248
 
2.8%
스 241
 
2.7%
이 238
 
2.6%
네 235
 
2.6%
리 220
 
2.4%
용 124
 
1.4%
라 124
 
1.4%
Other values (535) 5791
64.2%
ASCII
ValueCountFrequency (%)
267
21.7%
) 108
 
8.8%
( 108
 
8.8%
a 46
 
3.7%
i 40
 
3.3%
l 33
 
2.7%
r 28
 
2.3%
& 27
 
2.2%
H 27
 
2.2%
A 27
 
2.2%
Other values (58) 519
42.2%
CJK
ValueCountFrequency (%)
美 5
62.5%
木 1
 
12.5%
火 1
 
12.5%
裝 1
 
12.5%
None
ValueCountFrequency (%)
₂ 1
100.0%

영업소 주소(도로명)
Text

MISSING 

Distinct1757
Distinct (%)99.2%
Missing26
Missing (%)1.4%
Memory size14.2 KiB
2024-01-28T15:20:09.193202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length37.875776
Min length21

Characters and Unicode

Total characters67078
Distinct characters371
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1744 ?
Unique (%)98.5%

Sample

1st row인천광역시 남동구 만수로 53-23 (만수동,1층일부)
2nd row인천광역시 남동구 백범로206번길 50 (만수동)
3rd row인천광역시 남동구 백범로180번길 110 (만수동)
4th row인천광역시 남동구 백범로 312-1 (간석동)
5th row인천광역시 남동구 백범로206번길 17 (만수동)
ValueCountFrequency (%)
인천광역시 1771
 
13.8%
남동구 1771
 
13.8%
1층 782
 
6.1%
구월동 578
 
4.5%
만수동 342
 
2.7%
간석동 309
 
2.4%
일부호 250
 
1.9%
2층 249
 
1.9%
논현동 244
 
1.9%
서창동 107
 
0.8%
Other values (1954) 6464
50.2%
2024-01-28T15:20:09.535671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11098
 
16.5%
동 3937
 
5.9%
1 3398
 
5.1%
구 2758
 
4.1%
남 2149
 
3.2%
, 1997
 
3.0%
인 1968
 
2.9%
) 1939
 
2.9%
( 1939
 
2.9%
시 1874
 
2.8%
Other values (361) 34021
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37829
56.4%
Decimal Number 11739
 
17.5%
Space Separator 11098
 
16.5%
Other Punctuation 1999
 
3.0%
Close Punctuation 1939
 
2.9%
Open Punctuation 1939
 
2.9%
Dash Punctuation 309
 
0.5%
Uppercase Letter 209
 
0.3%
Lowercase Letter 16
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3937
 
10.4%
구 2758
 
7.3%
남 2149
 
5.7%
인 1968
 
5.2%
시 1874
 
5.0%
로 1867
 
4.9%
천 1846
 
4.9%
역 1811
 
4.8%
광 1783
 
4.7%
호 1634
 
4.3%
Other values (314) 16202
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 60
28.7%
A 29
13.9%
C 23
 
11.0%
V 13
 
6.2%
L 13
 
6.2%
G 12
 
5.7%
H 12
 
5.7%
S 8
 
3.8%
T 6
 
2.9%
D 6
 
2.9%
Other values (12) 27
12.9%
Decimal Number
ValueCountFrequency (%)
1 3398
28.9%
2 1837
15.6%
0 1400
11.9%
3 1110
 
9.5%
5 873
 
7.4%
4 793
 
6.8%
7 658
 
5.6%
6 657
 
5.6%
8 525
 
4.5%
9 488
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
r 3
18.8%
o 3
18.8%
w 2
12.5%
s 1
 
6.2%
n 1
 
6.2%
i 1
 
6.2%
a 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 1997
99.9%
@ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
11098
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1939
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1939
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 309
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37829
56.4%
Common 29024
43.3%
Latin 225
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3937
 
10.4%
구 2758
 
7.3%
남 2149
 
5.7%
인 1968
 
5.2%
시 1874
 
5.0%
로 1867
 
4.9%
천 1846
 
4.9%
역 1811
 
4.8%
광 1783
 
4.7%
호 1634
 
4.3%
Other values (314) 16202
42.8%
Latin
ValueCountFrequency (%)
B 60
26.7%
A 29
12.9%
C 23
 
10.2%
V 13
 
5.8%
L 13
 
5.8%
G 12
 
5.3%
H 12
 
5.3%
S 8
 
3.6%
T 6
 
2.7%
D 6
 
2.7%
Other values (20) 43
19.1%
Common
ValueCountFrequency (%)
11098
38.2%
1 3398
 
11.7%
, 1997
 
6.9%
) 1939
 
6.7%
( 1939
 
6.7%
2 1837
 
6.3%
0 1400
 
4.8%
3 1110
 
3.8%
5 873
 
3.0%
4 793
 
2.7%
Other values (7) 2640
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37829
56.4%
ASCII 29249
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11098
37.9%
1 3398
 
11.6%
, 1997
 
6.8%
) 1939
 
6.6%
( 1939
 
6.6%
2 1837
 
6.3%
0 1400
 
4.8%
3 1110
 
3.8%
5 873
 
3.0%
4 793
 
2.7%
Other values (37) 2865
 
9.8%
Hangul
ValueCountFrequency (%)
동 3937
 
10.4%
구 2758
 
7.3%
남 2149
 
5.7%
인 1968
 
5.2%
시 1874
 
5.0%
로 1867
 
4.9%
천 1846
 
4.9%
역 1811
 
4.8%
광 1783
 
4.7%
호 1634
 
4.3%
Other values (314) 16202
42.8%

영업소 주소(지번)
Text

Distinct1570
Distinct (%)87.4%
Missing1
Missing (%)0.1%
Memory size14.2 KiB
2024-01-28T15:20:09.795117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length26.636414
Min length17

Characters and Unicode

Total characters47839
Distinct characters350
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1462 ?
Unique (%)81.4%

Sample

1st row인천광역시 남동구 만수동 72-12 1층일부
2nd row인천광역시 남동구 만수동 111-331
3rd row인천광역시 남동구 만수동 72-3
4th row인천광역시 남동구 간석동 41-1
5th row인천광역시 남동구 간석동 191-1 1층
ValueCountFrequency (%)
인천광역시 1796
19.3%
남동구 1796
19.3%
구월동 620
 
6.7%
만수동 398
 
4.3%
간석동 348
 
3.7%
논현동 256
 
2.8%
서창동 109
 
1.2%
1층일부 97
 
1.0%
1층 84
 
0.9%
102호 60
 
0.6%
Other values (2135) 3734
40.2%
2024-01-28T15:20:10.172160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8834
18.5%
동 3762
 
7.9%
1 2934
 
6.1%
구 2494
 
5.2%
시 1889
 
3.9%
남 1854
 
3.9%
인 1824
 
3.8%
천 1810
 
3.8%
광 1809
 
3.8%
역 1796
 
3.8%
Other values (340) 18833
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26935
56.3%
Decimal Number 10177
 
21.3%
Space Separator 8834
 
18.5%
Dash Punctuation 1457
 
3.0%
Uppercase Letter 141
 
0.3%
Open Punctuation 127
 
0.3%
Close Punctuation 127
 
0.3%
Other Punctuation 24
 
0.1%
Lowercase Letter 16
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3762
14.0%
구 2494
 
9.3%
시 1889
 
7.0%
남 1854
 
6.9%
인 1824
 
6.8%
천 1810
 
6.7%
광 1809
 
6.7%
역 1796
 
6.7%
월 685
 
2.5%
호 627
 
2.3%
Other values (297) 8385
31.1%
Uppercase Letter
ValueCountFrequency (%)
B 24
17.0%
A 19
13.5%
C 18
12.8%
V 13
9.2%
L 13
9.2%
G 12
8.5%
H 12
8.5%
S 7
 
5.0%
T 6
 
4.3%
J 3
 
2.1%
Other values (8) 14
9.9%
Decimal Number
ValueCountFrequency (%)
1 2934
28.8%
2 1188
11.7%
0 996
 
9.8%
3 947
 
9.3%
4 838
 
8.2%
6 785
 
7.7%
5 724
 
7.1%
7 663
 
6.5%
9 570
 
5.6%
8 532
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
o 3
18.8%
r 3
18.8%
w 2
12.5%
s 1
 
6.2%
a 1
 
6.2%
n 1
 
6.2%
i 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 21
87.5%
@ 3
 
12.5%
Space Separator
ValueCountFrequency (%)
8834
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26935
56.3%
Common 20747
43.4%
Latin 157
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3762
14.0%
구 2494
 
9.3%
시 1889
 
7.0%
남 1854
 
6.9%
인 1824
 
6.8%
천 1810
 
6.7%
광 1809
 
6.7%
역 1796
 
6.7%
월 685
 
2.5%
호 627
 
2.3%
Other values (297) 8385
31.1%
Latin
ValueCountFrequency (%)
B 24
15.3%
A 19
12.1%
C 18
11.5%
V 13
8.3%
L 13
8.3%
G 12
7.6%
H 12
7.6%
S 7
 
4.5%
T 6
 
3.8%
e 4
 
2.5%
Other values (16) 29
18.5%
Common
ValueCountFrequency (%)
8834
42.6%
1 2934
 
14.1%
- 1457
 
7.0%
2 1188
 
5.7%
0 996
 
4.8%
3 947
 
4.6%
4 838
 
4.0%
6 785
 
3.8%
5 724
 
3.5%
7 663
 
3.2%
Other values (7) 1381
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26935
56.3%
ASCII 20904
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8834
42.3%
1 2934
 
14.0%
- 1457
 
7.0%
2 1188
 
5.7%
0 996
 
4.8%
3 947
 
4.5%
4 838
 
4.0%
6 785
 
3.8%
5 724
 
3.5%
7 663
 
3.2%
Other values (33) 1538
 
7.4%
Hangul
ValueCountFrequency (%)
동 3762
14.0%
구 2494
 
9.3%
시 1889
 
7.0%
남 1854
 
6.9%
인 1824
 
6.8%
천 1810
 
6.7%
광 1809
 
6.7%
역 1796
 
6.7%
월 685
 
2.5%
호 627
 
2.3%
Other values (297) 8385
31.1%

소재지전화
Text

MISSING 

Distinct803
Distinct (%)99.1%
Missing987
Missing (%)54.9%
Memory size14.2 KiB
2024-01-28T15:20:10.379024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.058025
Min length12

Characters and Unicode

Total characters9767
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

Unique796 ?
Unique (%)98.3%

Sample

1st row032-462-9401
2nd row032-465-1579
3rd row032-463-7544
4th row032-433-5641
5th row032-427-8875
ValueCountFrequency (%)
032-462-6678 2
 
0.2%
032-423-0843 2
 
0.2%
032-433-3246 2
 
0.2%
032-525-1640 2
 
0.2%
032-464-3625 2
 
0.2%
032-446-6484 2
 
0.2%
032-465-7244 2
 
0.2%
032-424-7272 1
 
0.1%
032-462-9401 1
 
0.1%
032-433-4336 1
 
0.1%
Other values (793) 793
97.9%
2024-01-28T15:20:10.691576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1620
16.6%
2 1513
15.5%
3 1309
13.4%
0 1274
13.0%
4 1107
11.3%
6 693
7.1%
7 549
 
5.6%
5 497
 
5.1%
1 419
 
4.3%
8 418
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8147
83.4%
Dash Punctuation 1620
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1513
18.6%
3 1309
16.1%
0 1274
15.6%
4 1107
13.6%
6 693
8.5%
7 549
 
6.7%
5 497
 
6.1%
1 419
 
5.1%
8 418
 
5.1%
9 368
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 1620
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1620
16.6%
2 1513
15.5%
3 1309
13.4%
0 1274
13.0%
4 1107
11.3%
6 693
7.1%
7 549
 
5.6%
5 497
 
5.1%
1 419
 
4.3%
8 418
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1620
16.6%
2 1513
15.5%
3 1309
13.4%
0 1274
13.0%
4 1107
11.3%
6 693
7.1%
7 549
 
5.6%
5 497
 
5.1%
1 419
 
4.3%
8 418
 
4.3%

Missing values

2024-01-28T15:20:08.097395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:20:08.168063image/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.
2024-01-28T15:20:08.236935image/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

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
0일반미용업달님미장원인천광역시 남동구 만수로 53-23 (만수동,1층일부)인천광역시 남동구 만수동 72-12 1층일부032-462-9401
1일반미용업숙이헤어샵인천광역시 남동구 백범로206번길 50 (만수동)인천광역시 남동구 만수동 111-331032-465-1579
2일반미용업샘터미용실인천광역시 남동구 백범로180번길 110 (만수동)인천광역시 남동구 만수동 72-3032-463-7544
3일반미용업영아미용실인천광역시 남동구 백범로 312-1 (간석동)인천광역시 남동구 간석동 41-1032-433-5641
4일반미용업지영미용실<NA>인천광역시 남동구 간석동 191-1 1층032-427-8875
5일반미용업봉봉미용실인천광역시 남동구 백범로206번길 17 (만수동)인천광역시 남동구 만수동 111-271032-462-2066
6일반미용업엘림헤어샾인천광역시 남동구 복개동로56번길 7 (만수동)인천광역시 남동구 만수동 921-20032-471-6662
7일반미용업백명옥 헤어인천광역시 남동구 경인로599번길 16, 1층 101호 (간석동, 프라임뷰3차)인천광역시 남동구 간석동 252-9 프라임뷰3차 101호032-434-1574
8일반미용업장미헤어샵인천광역시 남동구 구월말로 113-1 (만수동,(백구로 81) 1층)인천광역시 남동구 만수동 899-44 (백구로 81) 1층032-464-7035
9일반미용업순미용실인천광역시 남동구 용천로11번길 17-1 (구월동)인천광역시 남동구 구월동 1218-1032-469-0152
업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
1787피부미용업바나다네일(BANADA Nail)인천광역시 남동구 선수촌공원로 36, 구월아시아드더블루시티 지하층 B14호 (구월동)인천광역시 남동구 구월동 1527032-466-3620
1788네일아트업리즈살롱인천광역시 남동구 용천로 20, 1층 104호 (구월동)인천광역시 남동구 구월동 1225-33 104호<NA>
1789메이크업업솔뷰티인천광역시 남동구 서창남로 16-28, 3층 일부호 (서창동)인천광역시 남동구 서창동 723-1 3층일부호<NA>
1790피부미용업유니네뷰티인천광역시 남동구 만수로45번길 16, 1층 6호 (만수동)인천광역시 남동구 만수동 72-2 6호<NA>
1791피부미용업소솜피부관리소인천광역시 남동구 논고개로123번길 35, 칼리오페 3층 A315호 일부호 (논현동)인천광역시 남동구 논현동 632-1 칼리오페<NA>
1792피부미용업프레야인천광역시 남동구 선수촌공원로 26, 2층 211호 (구월동, 두플라스)인천광역시 남동구 구월동 1530 두플라스<NA>
1793네일아트업두두네일인천광역시 남동구 서창남순환로215번길 27, 1층 102호 (서창동)인천광역시 남동구 서창동 691-1<NA>
1794네일아트업틈네일인천광역시 남동구 남동대로799번길 34, D동 303호 (구월동, 신영구월지웰시티푸르지오)인천광역시 남동구 구월동 1608 신영구월지웰시티푸르지오<NA>
1795네일아트업뷰티장인인천광역시 남동구 에코중앙로 165, 에코메트로7단지상가 204호 (논현동)인천광역시 남동구 논현동 757-1 에코메트로7단지상가 204호<NA>
1796네일아트업헬로네일인천광역시 남동구 예술로 198, CGV 홈플러스 1층 35호 (구월동)인천광역시 남동구 구월동 1130 CGV 홈플러스<NA>