Overview

Dataset statistics

Number of variables6
Number of observations143
Missing cells66
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory48.9 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description인천광역시 서구 관내에 위치한( 업종, 상호, 시설주소(지번), 시설주소(도로명), 전화번호) 현행화 데이터 입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089450&srcSe=7661IVAWM27C61E190

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 65 (45.5%) missing valuesMissing

Reproduction

Analysis started2024-01-28 06:04:11.219457
Analysis finished2024-01-28 06:04:11.815765
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
체력단련장업
143 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 143
100.0%

Length

2024-01-28T15:04:11.864561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:04:11.938886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 143
100.0%

상호
Text

Distinct142
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T15:04:12.169903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.3216783
Min length2

Characters and Unicode

Total characters1047
Distinct characters258
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

Unique141 ?
Unique (%)98.6%

Sample

1st row명체육관
2nd row연희헬스
3rd row용인대타이곤헬스클럽
4th row석남헬스클럽
5th row백석스포렉스헬스클럽
ValueCountFrequency (%)
휘트니스 7
 
3.2%
gym 7
 
3.2%
짐 5
 
2.3%
피트니스 5
 
2.3%
청라점 3
 
1.4%
크로스핏 3
 
1.4%
프레임짐 2
 
0.9%
피지컬 2
 
0.9%
fitness 2
 
0.9%
검암점 2
 
0.9%
Other values (176) 184
82.9%
2024-01-28T15:04:12.516286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
7.5%
스 76
 
7.3%
짐 45
 
4.3%
트 40
 
3.8%
니 29
 
2.8%
라 21
 
2.0%
피 20
 
1.9%
이 20
 
1.9%
헬 19
 
1.8%
휘 18
 
1.7%
Other values (248) 680
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 768
73.4%
Uppercase Letter 96
 
9.2%
Space Separator 79
 
7.5%
Lowercase Letter 45
 
4.3%
Decimal Number 23
 
2.2%
Close Punctuation 12
 
1.1%
Open Punctuation 12
 
1.1%
Other Punctuation 12
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 76
 
9.9%
짐 45
 
5.9%
트 40
 
5.2%
니 29
 
3.8%
라 21
 
2.7%
피 20
 
2.6%
이 20
 
2.6%
헬 19
 
2.5%
휘 18
 
2.3%
점 16
 
2.1%
Other values (194) 464
60.4%
Uppercase Letter
ValueCountFrequency (%)
P 11
11.5%
T 11
11.5%
G 10
10.4%
M 10
10.4%
A 7
 
7.3%
Y 6
 
6.2%
E 6
 
6.2%
S 5
 
5.2%
F 4
 
4.2%
B 4
 
4.2%
Other values (10) 22
22.9%
Lowercase Letter
ValueCountFrequency (%)
o 9
20.0%
s 5
11.1%
n 3
 
6.7%
e 3
 
6.7%
r 3
 
6.7%
i 3
 
6.7%
y 3
 
6.7%
t 2
 
4.4%
d 2
 
4.4%
g 2
 
4.4%
Other values (9) 10
22.2%
Decimal Number
ValueCountFrequency (%)
2 6
26.1%
0 5
21.7%
1 4
17.4%
4 3
13.0%
5 3
13.0%
8 2
 
8.7%
Other Punctuation
ValueCountFrequency (%)
& 5
41.7%
' 3
25.0%
, 1
 
8.3%
. 1
 
8.3%
/ 1
 
8.3%
: 1
 
8.3%
Space Separator
ValueCountFrequency (%)
79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 768
73.4%
Latin 141
 
13.5%
Common 138
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 76
 
9.9%
짐 45
 
5.9%
트 40
 
5.2%
니 29
 
3.8%
라 21
 
2.7%
피 20
 
2.6%
이 20
 
2.6%
헬 19
 
2.5%
휘 18
 
2.3%
점 16
 
2.1%
Other values (194) 464
60.4%
Latin
ValueCountFrequency (%)
P 11
 
7.8%
T 11
 
7.8%
G 10
 
7.1%
M 10
 
7.1%
o 9
 
6.4%
A 7
 
5.0%
Y 6
 
4.3%
E 6
 
4.3%
s 5
 
3.5%
S 5
 
3.5%
Other values (29) 61
43.3%
Common
ValueCountFrequency (%)
79
57.2%
) 12
 
8.7%
( 12
 
8.7%
2 6
 
4.3%
& 5
 
3.6%
0 5
 
3.6%
1 4
 
2.9%
' 3
 
2.2%
4 3
 
2.2%
5 3
 
2.2%
Other values (5) 6
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 768
73.4%
ASCII 279
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
28.3%
) 12
 
4.3%
( 12
 
4.3%
P 11
 
3.9%
T 11
 
3.9%
G 10
 
3.6%
M 10
 
3.6%
o 9
 
3.2%
A 7
 
2.5%
2 6
 
2.2%
Other values (44) 112
40.1%
Hangul
ValueCountFrequency (%)
스 76
 
9.9%
짐 45
 
5.9%
트 40
 
5.2%
니 29
 
3.8%
라 21
 
2.7%
피 20
 
2.6%
이 20
 
2.6%
헬 19
 
2.5%
휘 18
 
2.3%
점 16
 
2.1%
Other values (194) 464
60.4%

시설주소(지번)
Text

Distinct141
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T15:04:12.771508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length24.503497
Min length16

Characters and Unicode

Total characters3504
Distinct characters169
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

Unique139 ?
Unique (%)97.2%

Sample

1st row인천광역시 서구 가좌동 139-10 4층
2nd row인천광역시 서구 연희동 686-4
3rd row인천광역시 서구 심곡동 259-6
4th row인천광역시 서구 석남동 575
5th row인천광역시 서구 백석동 85
ValueCountFrequency (%)
인천광역시 143
19.7%
서구 143
19.7%
청라동 46
 
6.3%
당하동 13
 
1.8%
마전동 12
 
1.7%
가좌동 12
 
1.7%
원당동 10
 
1.4%
검암동 9
 
1.2%
4층 9
 
1.2%
가정동 8
 
1.1%
Other values (253) 322
44.3%
2024-01-28T15:04:13.146240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
705
20.1%
1 165
 
4.7%
구 148
 
4.2%
동 147
 
4.2%
시 147
 
4.2%
서 147
 
4.2%
인 145
 
4.1%
광 143
 
4.1%
역 143
 
4.1%
천 143
 
4.1%
Other values (159) 1471
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1908
54.5%
Decimal Number 739
 
21.1%
Space Separator 705
 
20.1%
Dash Punctuation 121
 
3.5%
Other Punctuation 10
 
0.3%
Uppercase Letter 7
 
0.2%
Lowercase Letter 6
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 148
 
7.8%
동 147
 
7.7%
시 147
 
7.7%
서 147
 
7.7%
인 145
 
7.6%
광 143
 
7.5%
역 143
 
7.5%
천 143
 
7.5%
라 91
 
4.8%
청 57
 
3.0%
Other values (130) 597
31.3%
Decimal Number
ValueCountFrequency (%)
1 165
22.3%
2 91
12.3%
0 90
12.2%
5 69
9.3%
6 68
9.2%
4 61
 
8.3%
7 53
 
7.2%
3 51
 
6.9%
9 51
 
6.9%
8 40
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
14.3%
S 1
14.3%
L 1
14.3%
W 1
14.3%
E 1
14.3%
I 1
14.3%
V 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 1
16.7%
r 1
16.7%
d 1
16.7%
a 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
' 1
 
10.0%
Space Separator
ValueCountFrequency (%)
705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1908
54.5%
Common 1583
45.2%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 148
 
7.8%
동 147
 
7.7%
시 147
 
7.7%
서 147
 
7.7%
인 145
 
7.6%
광 143
 
7.5%
역 143
 
7.5%
천 143
 
7.5%
라 91
 
4.8%
청 57
 
3.0%
Other values (130) 597
31.3%
Common
ValueCountFrequency (%)
705
44.5%
1 165
 
10.4%
- 121
 
7.6%
2 91
 
5.7%
0 90
 
5.7%
5 69
 
4.4%
6 68
 
4.3%
4 61
 
3.9%
7 53
 
3.3%
3 51
 
3.2%
Other values (7) 109
 
6.9%
Latin
ValueCountFrequency (%)
e 2
15.4%
K 1
7.7%
S 1
7.7%
L 1
7.7%
W 1
7.7%
E 1
7.7%
I 1
7.7%
V 1
7.7%
s 1
7.7%
r 1
7.7%
Other values (2) 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1908
54.5%
ASCII 1596
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
705
44.2%
1 165
 
10.3%
- 121
 
7.6%
2 91
 
5.7%
0 90
 
5.6%
5 69
 
4.3%
6 68
 
4.3%
4 61
 
3.8%
7 53
 
3.3%
3 51
 
3.2%
Other values (19) 122
 
7.6%
Hangul
ValueCountFrequency (%)
구 148
 
7.8%
동 147
 
7.7%
시 147
 
7.7%
서 147
 
7.7%
인 145
 
7.6%
광 143
 
7.5%
역 143
 
7.5%
천 143
 
7.5%
라 91
 
4.8%
청 57
 
3.0%
Other values (130) 597
31.3%

시설주소(도로명)
Text

Distinct141
Distinct (%)99.3%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-01-28T15:04:13.435786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length35.028169
Min length21

Characters and Unicode

Total characters4974
Distinct characters206
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

Unique140 ?
Unique (%)98.6%

Sample

1st row인천광역시 서구 가정로 127-1, 4층 (가좌동, 신명상가)
2nd row인천광역시 서구 서곶로 365, 4층 (연희동)
3rd row인천광역시 서구 서곶로255번길 14-15 (심곡동)
4th row인천광역시 서구 거북로 104 (석남동)
5th row인천광역시 서구 드림로209번길 69 (백석동)
ValueCountFrequency (%)
인천광역시 142
 
14.8%
서구 142
 
14.8%
청라동 28
 
2.9%
3층 14
 
1.5%
당하동 13
 
1.4%
4층 13
 
1.4%
연희동 13
 
1.4%
마전동 11
 
1.1%
가좌동 10
 
1.0%
2층 10
 
1.0%
Other values (356) 562
58.7%
2024-01-28T15:04:13.887253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
823
 
16.5%
, 189
 
3.8%
서 162
 
3.3%
인 149
 
3.0%
동 147
 
3.0%
시 146
 
2.9%
로 146
 
2.9%
1 146
 
2.9%
천 144
 
2.9%
구 143
 
2.9%
Other values (196) 2779
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2716
54.6%
Decimal Number 916
 
18.4%
Space Separator 823
 
16.5%
Other Punctuation 190
 
3.8%
Open Punctuation 143
 
2.9%
Close Punctuation 143
 
2.9%
Dash Punctuation 23
 
0.5%
Uppercase Letter 9
 
0.2%
Lowercase Letter 6
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 162
 
6.0%
인 149
 
5.5%
동 147
 
5.4%
시 146
 
5.4%
로 146
 
5.4%
천 144
 
5.3%
구 143
 
5.3%
역 142
 
5.2%
광 142
 
5.2%
라 112
 
4.1%
Other values (165) 1283
47.2%
Decimal Number
ValueCountFrequency (%)
1 146
15.9%
0 140
15.3%
2 115
12.6%
4 95
10.4%
3 83
9.1%
6 76
8.3%
7 75
8.2%
5 69
7.5%
9 61
6.7%
8 56
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
11.1%
A 1
11.1%
S 1
11.1%
W 1
11.1%
E 1
11.1%
I 1
11.1%
V 1
11.1%
L 1
11.1%
K 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 1
16.7%
r 1
16.7%
d 1
16.7%
a 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 189
99.5%
' 1
 
0.5%
Space Separator
ValueCountFrequency (%)
823
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2716
54.6%
Common 2243
45.1%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 162
 
6.0%
인 149
 
5.5%
동 147
 
5.4%
시 146
 
5.4%
로 146
 
5.4%
천 144
 
5.3%
구 143
 
5.3%
역 142
 
5.2%
광 142
 
5.2%
라 112
 
4.1%
Other values (165) 1283
47.2%
Common
ValueCountFrequency (%)
823
36.7%
, 189
 
8.4%
1 146
 
6.5%
( 143
 
6.4%
) 143
 
6.4%
0 140
 
6.2%
2 115
 
5.1%
4 95
 
4.2%
3 83
 
3.7%
6 76
 
3.4%
Other values (7) 290
 
12.9%
Latin
ValueCountFrequency (%)
e 2
13.3%
B 1
 
6.7%
A 1
 
6.7%
S 1
 
6.7%
W 1
 
6.7%
E 1
 
6.7%
I 1
 
6.7%
V 1
 
6.7%
s 1
 
6.7%
r 1
 
6.7%
Other values (4) 4
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2716
54.6%
ASCII 2258
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
823
36.4%
, 189
 
8.4%
1 146
 
6.5%
( 143
 
6.3%
) 143
 
6.3%
0 140
 
6.2%
2 115
 
5.1%
4 95
 
4.2%
3 83
 
3.7%
6 76
 
3.4%
Other values (21) 305
 
13.5%
Hangul
ValueCountFrequency (%)
서 162
 
6.0%
인 149
 
5.5%
동 147
 
5.4%
시 146
 
5.4%
로 146
 
5.4%
천 144
 
5.3%
구 143
 
5.3%
역 142
 
5.2%
광 142
 
5.2%
라 112
 
4.1%
Other values (165) 1283
47.2%

전화번호
Text

MISSING 

Distinct77
Distinct (%)98.7%
Missing65
Missing (%)45.5%
Memory size1.2 KiB
2024-01-28T15:04:14.093548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.064103
Min length12

Characters and Unicode

Total characters941
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

Unique76 ?
Unique (%)97.4%

Sample

1st row032-581-3860
2nd row032-565-1889
3rd row032-564-2920
4th row032-573-1550
5th row032-567-6661
ValueCountFrequency (%)
032-562-1819 2
 
2.6%
032-566-1789 1
 
1.3%
032-581-3860 1
 
1.3%
032-565-7741 1
 
1.3%
032-567-3315 1
 
1.3%
032-567-0611 1
 
1.3%
032-568-0510 1
 
1.3%
032-623-4123 1
 
1.3%
032-566-9682 1
 
1.3%
032-563-8298 1
 
1.3%
Other values (67) 67
85.9%
2024-01-28T15:04:14.406877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 156
16.6%
0 127
13.5%
3 116
12.3%
2 115
12.2%
5 101
10.7%
6 101
10.7%
7 66
7.0%
8 52
 
5.5%
1 48
 
5.1%
9 38
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 785
83.4%
Dash Punctuation 156
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 127
16.2%
3 116
14.8%
2 115
14.6%
5 101
12.9%
6 101
12.9%
7 66
8.4%
8 52
6.6%
1 48
 
6.1%
9 38
 
4.8%
4 21
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 941
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 156
16.6%
0 127
13.5%
3 116
12.3%
2 115
12.2%
5 101
10.7%
6 101
10.7%
7 66
7.0%
8 52
 
5.5%
1 48
 
5.1%
9 38
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 156
16.6%
0 127
13.5%
3 116
12.3%
2 115
12.2%
5 101
10.7%
6 101
10.7%
7 66
7.0%
8 52
 
5.5%
1 48
 
5.1%
9 38
 
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-09-02 00:00:00
Maximum2022-09-02 00:00:00
2024-01-28T15:04:14.513695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:04:14.647049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-01-28T15:04:11.612378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:04:11.706916image/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.
2024-01-28T15:04:11.778255image/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

업종상호시설주소(지번)시설주소(도로명)전화번호데이터기준일자
0체력단련장업명체육관인천광역시 서구 가좌동 139-10 4층인천광역시 서구 가정로 127-1, 4층 (가좌동, 신명상가)032-581-38602022-09-02
1체력단련장업연희헬스인천광역시 서구 연희동 686-4인천광역시 서구 서곶로 365, 4층 (연희동)032-565-18892022-09-02
2체력단련장업용인대타이곤헬스클럽인천광역시 서구 심곡동 259-6인천광역시 서구 서곶로255번길 14-15 (심곡동)032-564-29202022-09-02
3체력단련장업석남헬스클럽인천광역시 서구 석남동 575인천광역시 서구 거북로 104 (석남동)032-573-15502022-09-02
4체력단련장업백석스포렉스헬스클럽인천광역시 서구 백석동 85인천광역시 서구 드림로209번길 69 (백석동)032-567-66612022-09-02
5체력단련장업파워헬스클럽인천광역시 서구 연희동 697-3인천광역시 서구 심곡로 199, 2층 (연희동)032-564-56982022-09-02
6체력단련장업고려헬스타운인천광역시 서구 마전동 698-4<NA>032-564-39622022-09-02
7체력단련장업고려헬스클럽인천광역시 서구 심곡동 290인천광역시 서구 심곡로 130 (심곡동)032-561-96962022-09-02
8체력단련장업아센 휘트니스인천광역시 서구 가좌동 72-1 4층인천광역시 서구 원적로 109 (가좌동,4층)032-583-67882022-09-02
9체력단련장업귀빈헬스인천광역시 서구 왕길동 638-2 마전빌딩6층인천광역시 서구 완정로 185 (왕길동,마전빌딩6층)032-566-83502022-09-02
업종상호시설주소(지번)시설주소(도로명)전화번호데이터기준일자
133체력단련장업와이필라앤피티인천광역시 서구 당하동 1030-9 리빙프라자인천광역시 서구 고산후로95번길 18, 리빙프라자 403,404호 (당하동)032-566-64382022-09-02
134체력단련장업사이언스핏인천광역시 서구 청라동 162-4 반안프라자인천광역시 서구 중봉대로612번길 10-8, 반안프라자 401, 402,403호 (청라동)032-561-20342022-09-02
135체력단련장업팬텀짐인천광역시 서구 신현동 307-8인천광역시 서구 새오개로111번안길 19-1, 4층 (신현동)032-285-00352022-09-02
136체력단련장업청라 마이짐인천광역시 서구 청라동 162-7 청라프라자인천광역시 서구 중봉대로612번길 10-20, 청라프라자 603, 604호 (청라동)<NA>2022-09-02
137체력단련장업밸런스22인천광역시 서구 원당동 0 제일프라자인천광역시 서구 이음5로 34, 제일프라자 303, 304호 (원당동)070-7755-96822022-09-02
138체력단련장업하루, 50분인천광역시 서구 청라동 117-15인천광역시 서구 청라라임로122번길 16-1, 1층 (청라동)<NA>2022-09-02
139체력단련장업엑스 짐인천광역시 서구 신현동 259-8인천광역시 서구 가정로 419, 4층 (신현동)032-268-20002022-09-02
140체력단련장업글램핏인천광역시 서구 가좌동 42-2인천광역시 서구 장고개로337번길 7, A동 401호 (가좌동)<NA>2022-09-02
141체력단련장업센스짐24 검암점인천광역시 서구 검암동 610-1 서해프라자인천광역시 서구 승학로 498, 서해프라자 B01호 (검암동)<NA>2022-09-02
142체력단련장업위너 짐인천광역시 서구 당하동 1028-10 보람프라자인천광역시 서구 원당대로 860, 보람프라자 403, 404호 (당하동)<NA>2022-09-02