Overview

Dataset statistics

Number of variables6
Number of observations249
Missing cells138
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory48.5 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description인천광역시 서구 관내에 위치한 체육도장업(업종, 상호, 시설주소(지번), 시설주소(도로명), 전화번호) 현행 데이터 입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089449/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 135 (54.2%) missing valuesMissing

Reproduction

Analysis started2024-03-14 15:05:43.493757
Analysis finished2024-03-14 15:05:44.769655
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
체육도장업
249 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 249
100.0%

Length

2024-03-15T00:05:44.880394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:05:45.033093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 249
100.0%

상호
Text

Distinct242
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-15T00:05:45.995812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length17
Mean length9.2931727
Min length4

Characters and Unicode

Total characters2314
Distinct characters281
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)94.4%

Sample

1st row동남체육관
2nd row피움K태권도장
3rd row한미체육관(태권도)
4th row신양체육관
5th row경희대석사 액티브 태권도장
ValueCountFrequency (%)
태권도장 67
 
13.7%
태권도 21
 
4.3%
용인대 18
 
3.7%
경희대 14
 
2.9%
청라 8
 
1.6%
합기도 7
 
1.4%
한국체대 7
 
1.4%
백호 6
 
1.2%
스탈릿 5
 
1.0%
국가대표 4
 
0.8%
Other values (294) 333
68.0%
2024-03-15T00:05:47.256112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
 
10.4%
도 205
 
8.9%
태 186
 
8.0%
권 178
 
7.7%
장 121
 
5.2%
대 80
 
3.5%
관 46
 
2.0%
인 45
 
1.9%
체 34
 
1.5%
용 33
 
1.4%
Other values (271) 1145
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1928
83.3%
Space Separator 241
 
10.4%
Uppercase Letter 86
 
3.7%
Lowercase Letter 17
 
0.7%
Other Punctuation 14
 
0.6%
Close Punctuation 10
 
0.4%
Open Punctuation 10
 
0.4%
Decimal Number 6
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 205
 
10.6%
태 186
 
9.6%
권 178
 
9.2%
장 121
 
6.3%
대 80
 
4.1%
관 46
 
2.4%
인 45
 
2.3%
체 34
 
1.8%
용 33
 
1.7%
스 29
 
1.5%
Other values (225) 971
50.4%
Uppercase Letter
ValueCountFrequency (%)
K 10
11.6%
T 9
10.5%
C 8
 
9.3%
I 7
 
8.1%
S 6
 
7.0%
J 6
 
7.0%
M 5
 
5.8%
A 5
 
5.8%
O 4
 
4.7%
U 4
 
4.7%
Other values (11) 22
25.6%
Lowercase Letter
ValueCountFrequency (%)
p 3
17.6%
e 3
17.6%
a 2
11.8%
m 2
11.8%
r 1
 
5.9%
t 1
 
5.9%
s 1
 
5.9%
u 1
 
5.9%
n 1
 
5.9%
y 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 5
35.7%
& 4
28.6%
. 3
21.4%
· 1
 
7.1%
' 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
7 1
16.7%
3 1
16.7%
5 1
16.7%
1 1
16.7%
Space Separator
ValueCountFrequency (%)
241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1927
83.3%
Common 283
 
12.2%
Latin 103
 
4.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 205
 
10.6%
태 186
 
9.7%
권 178
 
9.2%
장 121
 
6.3%
대 80
 
4.2%
관 46
 
2.4%
인 45
 
2.3%
체 34
 
1.8%
용 33
 
1.7%
스 29
 
1.5%
Other values (224) 970
50.3%
Latin
ValueCountFrequency (%)
K 10
 
9.7%
T 9
 
8.7%
C 8
 
7.8%
I 7
 
6.8%
S 6
 
5.8%
J 6
 
5.8%
M 5
 
4.9%
A 5
 
4.9%
O 4
 
3.9%
U 4
 
3.9%
Other values (22) 39
37.9%
Common
ValueCountFrequency (%)
241
85.2%
) 10
 
3.5%
( 10
 
3.5%
, 5
 
1.8%
& 4
 
1.4%
. 3
 
1.1%
2 2
 
0.7%
- 2
 
0.7%
· 1
 
0.4%
' 1
 
0.4%
Other values (4) 4
 
1.4%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1927
83.3%
ASCII 385
 
16.6%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
62.6%
) 10
 
2.6%
( 10
 
2.6%
K 10
 
2.6%
T 9
 
2.3%
C 8
 
2.1%
I 7
 
1.8%
S 6
 
1.6%
J 6
 
1.6%
M 5
 
1.3%
Other values (35) 73
 
19.0%
Hangul
ValueCountFrequency (%)
도 205
 
10.6%
태 186
 
9.7%
권 178
 
9.2%
장 121
 
6.3%
대 80
 
4.2%
관 46
 
2.4%
인 45
 
2.3%
체 34
 
1.8%
용 33
 
1.7%
스 29
 
1.5%
Other values (224) 970
50.3%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

시설주소(지번)
Text

Distinct243
Distinct (%)98.0%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2024-03-15T00:05:48.402965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length44
Mean length26.225806
Min length15

Characters and Unicode

Total characters6504
Distinct characters235
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)96.0%

Sample

1st row인천광역시 서구 석남동 579-13
2nd row인천광역시 서구 석남동 471-2
3rd row인천광역시 서구 가좌동 361-1
4th row인천광역시 서구 석남동 538-3
5th row인천광역시 서구 석남동 587-48
ValueCountFrequency (%)
인천광역시 248
 
18.7%
서구 248
 
18.7%
청라동 46
 
3.5%
당하동 32
 
2.4%
원당동 24
 
1.8%
가좌동 22
 
1.7%
가정동 22
 
1.7%
마전동 21
 
1.6%
0 20
 
1.5%
석남동 16
 
1.2%
Other values (445) 628
47.3%
2024-03-15T00:05:49.956828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1295
19.9%
1 268
 
4.1%
구 265
 
4.1%
동 263
 
4.0%
시 262
 
4.0%
서 254
 
3.9%
인 251
 
3.9%
역 249
 
3.8%
천 248
 
3.8%
광 248
 
3.8%
Other values (225) 2901
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3581
55.1%
Decimal Number 1315
 
20.2%
Space Separator 1295
 
19.9%
Dash Punctuation 200
 
3.1%
Uppercase Letter 44
 
0.7%
Other Punctuation 29
 
0.4%
Lowercase Letter 19
 
0.3%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 265
 
7.4%
동 263
 
7.3%
시 262
 
7.3%
서 254
 
7.1%
인 251
 
7.0%
역 249
 
7.0%
천 248
 
6.9%
광 248
 
6.9%
라 117
 
3.3%
호 68
 
1.9%
Other values (183) 1356
37.9%
Uppercase Letter
ValueCountFrequency (%)
K 7
15.9%
L 6
13.6%
S 4
9.1%
J 4
9.1%
E 4
9.1%
W 3
6.8%
I 3
6.8%
V 3
6.8%
A 2
 
4.5%
B 2
 
4.5%
Other values (6) 6
13.6%
Decimal Number
ValueCountFrequency (%)
1 268
20.4%
0 206
15.7%
2 179
13.6%
3 139
10.6%
4 108
8.2%
5 108
8.2%
6 93
 
7.1%
7 76
 
5.8%
9 69
 
5.2%
8 69
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
31.6%
a 3
15.8%
s 3
15.8%
d 3
15.8%
r 3
15.8%
b 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 23
79.3%
' 3
 
10.3%
@ 2
 
6.9%
& 1
 
3.4%
Space Separator
ValueCountFrequency (%)
1295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3581
55.1%
Common 2859
44.0%
Latin 64
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 265
 
7.4%
동 263
 
7.3%
시 262
 
7.3%
서 254
 
7.1%
인 251
 
7.0%
역 249
 
7.0%
천 248
 
6.9%
광 248
 
6.9%
라 117
 
3.3%
호 68
 
1.9%
Other values (183) 1356
37.9%
Latin
ValueCountFrequency (%)
K 7
 
10.9%
L 6
 
9.4%
e 6
 
9.4%
S 4
 
6.2%
J 4
 
6.2%
E 4
 
6.2%
a 3
 
4.7%
W 3
 
4.7%
I 3
 
4.7%
V 3
 
4.7%
Other values (13) 21
32.8%
Common
ValueCountFrequency (%)
1295
45.3%
1 268
 
9.4%
0 206
 
7.2%
- 200
 
7.0%
2 179
 
6.3%
3 139
 
4.9%
4 108
 
3.8%
5 108
 
3.8%
6 93
 
3.3%
7 76
 
2.7%
Other values (9) 187
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3581
55.1%
ASCII 2922
44.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1295
44.3%
1 268
 
9.2%
0 206
 
7.0%
- 200
 
6.8%
2 179
 
6.1%
3 139
 
4.8%
4 108
 
3.7%
5 108
 
3.7%
6 93
 
3.2%
7 76
 
2.6%
Other values (31) 250
 
8.6%
Hangul
ValueCountFrequency (%)
구 265
 
7.4%
동 263
 
7.3%
시 262
 
7.3%
서 254
 
7.1%
인 251
 
7.0%
역 249
 
7.0%
천 248
 
6.9%
광 248
 
6.9%
라 117
 
3.3%
호 68
 
1.9%
Other values (183) 1356
37.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

시설주소(도로명)
Text

Distinct246
Distinct (%)99.6%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2024-03-15T00:05:51.029799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length51
Mean length35.797571
Min length21

Characters and Unicode

Total characters8842
Distinct characters272
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)99.2%

Sample

1st row인천광역시 서구 석남로 100 (석남동)
2nd row인천광역시 서구 서달로 147 (석남동)
3rd row인천광역시 서구 여우재로 109 (가좌동)
4th row인천광역시 서구 가정로 237 (석남동)
5th row인천광역시 서구 거북로 74-1 (석남동)
ValueCountFrequency (%)
인천광역시 247
 
14.7%
서구 247
 
14.7%
당하동 31
 
1.9%
2층 29
 
1.7%
청라동 27
 
1.6%
원당동 24
 
1.4%
3층 19
 
1.1%
가정동 19
 
1.1%
마전동 19
 
1.1%
가좌동 18
 
1.1%
Other values (567) 995
59.4%
2024-03-15T00:05:52.549303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1428
 
16.2%
, 343
 
3.9%
1 291
 
3.3%
서 284
 
3.2%
0 282
 
3.2%
동 275
 
3.1%
로 263
 
3.0%
시 263
 
3.0%
인 250
 
2.8%
구 249
 
2.8%
Other values (262) 4914
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4773
54.0%
Decimal Number 1680
 
19.0%
Space Separator 1428
 
16.2%
Other Punctuation 350
 
4.0%
Open Punctuation 248
 
2.8%
Close Punctuation 248
 
2.8%
Uppercase Letter 46
 
0.5%
Dash Punctuation 27
 
0.3%
Math Symbol 21
 
0.2%
Lowercase Letter 20
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 284
 
6.0%
동 275
 
5.8%
로 263
 
5.5%
시 263
 
5.5%
인 250
 
5.2%
구 249
 
5.2%
역 248
 
5.2%
광 247
 
5.2%
천 247
 
5.2%
라 145
 
3.0%
Other values (219) 2302
48.2%
Uppercase Letter
ValueCountFrequency (%)
K 8
17.4%
B 6
13.0%
E 4
8.7%
L 4
8.7%
S 4
8.7%
J 4
8.7%
V 3
 
6.5%
W 3
 
6.5%
I 3
 
6.5%
M 1
 
2.2%
Other values (6) 6
13.0%
Decimal Number
ValueCountFrequency (%)
1 291
17.3%
0 282
16.8%
2 247
14.7%
3 208
12.4%
4 165
9.8%
5 135
8.0%
7 103
 
6.1%
6 96
 
5.7%
8 95
 
5.7%
9 58
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 7
35.0%
s 3
15.0%
r 3
15.0%
d 3
15.0%
a 3
15.0%
b 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 343
98.0%
' 3
 
0.9%
@ 2
 
0.6%
& 1
 
0.3%
· 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1428
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4773
54.0%
Common 4002
45.3%
Latin 67
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 284
 
6.0%
동 275
 
5.8%
로 263
 
5.5%
시 263
 
5.5%
인 250
 
5.2%
구 249
 
5.2%
역 248
 
5.2%
광 247
 
5.2%
천 247
 
5.2%
라 145
 
3.0%
Other values (219) 2302
48.2%
Latin
ValueCountFrequency (%)
K 8
 
11.9%
e 7
 
10.4%
B 6
 
9.0%
E 4
 
6.0%
L 4
 
6.0%
S 4
 
6.0%
J 4
 
6.0%
V 3
 
4.5%
W 3
 
4.5%
I 3
 
4.5%
Other values (13) 21
31.3%
Common
ValueCountFrequency (%)
1428
35.7%
, 343
 
8.6%
1 291
 
7.3%
0 282
 
7.0%
( 248
 
6.2%
) 248
 
6.2%
2 247
 
6.2%
3 208
 
5.2%
4 165
 
4.1%
5 135
 
3.4%
Other values (10) 407
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4773
54.0%
ASCII 4067
46.0%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1428
35.1%
, 343
 
8.4%
1 291
 
7.2%
0 282
 
6.9%
( 248
 
6.1%
) 248
 
6.1%
2 247
 
6.1%
3 208
 
5.1%
4 165
 
4.1%
5 135
 
3.3%
Other values (31) 472
 
11.6%
Hangul
ValueCountFrequency (%)
서 284
 
6.0%
동 275
 
5.8%
로 263
 
5.5%
시 263
 
5.5%
인 250
 
5.2%
구 249
 
5.2%
역 248
 
5.2%
광 247
 
5.2%
천 247
 
5.2%
라 145
 
3.0%
Other values (219) 2302
48.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct113
Distinct (%)99.1%
Missing135
Missing (%)54.2%
Memory size2.1 KiB
2024-03-15T00:05:53.441614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.991228
Min length11

Characters and Unicode

Total characters1367
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

Unique112 ?
Unique (%)98.2%

Sample

1st row032-572-8330
2nd row032-575-8302
3rd row032-578-6306
4th row032-578-6324
5th row032-565-0821
ValueCountFrequency (%)
032-577-8630 2
 
1.8%
032-562-6779 1
 
0.9%
032-572-8330 1
 
0.9%
032-5698212 1
 
0.9%
032-564-7088 1
 
0.9%
032-567-7901 1
 
0.9%
032-567-1333 1
 
0.9%
032-563-1322 1
 
0.9%
032-566-2534 1
 
0.9%
032-571-0117 1
 
0.9%
Other values (103) 103
90.4%
2024-03-15T00:05:54.762073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 227
16.6%
0 191
14.0%
2 171
12.5%
3 169
12.4%
5 169
12.4%
6 131
9.6%
7 100
7.3%
8 57
 
4.2%
9 53
 
3.9%
1 52
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1140
83.4%
Dash Punctuation 227
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 191
16.8%
2 171
15.0%
3 169
14.8%
5 169
14.8%
6 131
11.5%
7 100
8.8%
8 57
 
5.0%
9 53
 
4.6%
1 52
 
4.6%
4 47
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 227
16.6%
0 191
14.0%
2 171
12.5%
3 169
12.4%
5 169
12.4%
6 131
9.6%
7 100
7.3%
8 57
 
4.2%
9 53
 
3.9%
1 52
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 227
16.6%
0 191
14.0%
2 171
12.5%
3 169
12.4%
5 169
12.4%
6 131
9.6%
7 100
7.3%
8 57
 
4.2%
9 53
 
3.9%
1 52
 
3.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2023-10-26 00:00:00
Maximum2023-10-26 00:00:00
2024-03-15T00:05:54.956838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:05:55.114799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-15T00:05:44.321468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:05:44.511714image/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.
2024-03-15T00:05:44.678227image/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
0체육도장업동남체육관인천광역시 서구 석남동 579-13인천광역시 서구 석남로 100 (석남동)032-572-83302023-10-26
1체육도장업피움K태권도장인천광역시 서구 석남동 471-2인천광역시 서구 서달로 147 (석남동)032-575-83022023-10-26
2체육도장업한미체육관(태권도)인천광역시 서구 가좌동 361-1인천광역시 서구 여우재로 109 (가좌동)032-578-63062023-10-26
3체육도장업신양체육관인천광역시 서구 석남동 538-3인천광역시 서구 가정로 237 (석남동)<NA>2023-10-26
4체육도장업경희대석사 액티브 태권도장인천광역시 서구 석남동 587-48인천광역시 서구 거북로 74-1 (석남동)032-578-63242023-10-26
5체육도장업엘리트 태권도장인천광역시 서구 심곡동 337-6인천광역시 서구 심곡로 21 (심곡동)032-565-08212023-10-26
6체육도장업태무한신태권도장인천광역시 서구 가정동 546인천광역시 서구 서곶로 12 (가정동)032-581-08732023-10-26
7체육도장업빡 복싱클럽인천광역시 서구 석남동 539-2 5층인천광역시 서구 가정로 238, 5층 (석남동)032-575-35472023-10-26
8체육도장업하나태권도체육관인천광역시 서구 가정동 341-14인천광역시 서구 봉오대로318번길 23-1 (가정동)032-579-46462023-10-26
9체육도장업피움K태권도장인천광역시 서구 연희동 747-8 대연빌딩인천광역시 서구 승학로 285, 대연빌딩 3층 (연희동)<NA>2023-10-26
업종상호시설주소(지번)시설주소(도로명)전화번호데이터기준일자
239체육도장업주짓수&엠엠에이인천광역시 서구 당하동 1096-3인천광역시 서구 청마로167번길 4, 4층 (당하동)032-569-82792023-10-26
240체육도장업박혜수 복싱 GYM인천광역시 서구 가좌동 336-3인천광역시 서구 장고개로 278, 2층 (가좌동)<NA>2023-10-26
241체육도장업루원대호태권도인천광역시 서구 가정동 0 루원 린스트라우스 더 린시티인천광역시 서구 서곶로 45, 앨리스빌상가 1001·1002호 (가정동, 루원 린스트라우스 더 린시티)<NA>2023-10-26
242체육도장업바르체 용인대 태권도장인천광역시 서구 당하동 1246-7인천광역시 서구 이음3로 145, 4층 (당하동)032-567-65052023-10-26
243체육도장업림핏복싱인천광역시 서구 원당동 1040 연세프라자8차인천광역시 서구 이음5로 20, 연세프라자8차 507,508,509호 (원당동)<NA>2023-10-26
244체육도장업하이밸런스 운동센터인천광역시 서구 신현동 307-4 조안프라자인천광역시 서구 새오개로111번안길 25, 조안프라자 301,302호 (신현동)<NA>2023-10-26
245체육도장업K-POP 음악줄넘기 점프스쿨(인천청라센터)인천광역시 서구 청라동 104-9 태영빌딩인천광역시 서구 보석로 44, 태영빌딩 2층 (청라동)<NA>2023-10-26
246체육도장업불로 백호 태권도장인천광역시 서구 불로동 328 퀸스타운동성아파트 상가인천광역시 서구 검단로 790, 퀸스타운동성아파트 상가 2층 204,208~211호 (불로동)032-567-03342023-10-26
247체육도장업효태권도장인천광역시 서구 청라동 182-8 호만인천광역시 서구 청라커낼로223번길 7, 호만 1층 101호 (청라동)<NA>2023-10-26
248체육도장업세양 특공무술 멀티짐인천광역시 서구 원당동 1030-12 세중시그니쳐인천광역시 서구 이음1로 383, 세중시그니쳐 806,807,808호 (원당동)<NA>2023-10-26