Overview

Dataset statistics

Number of variables7
Number of observations124
Missing cells43
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory57.1 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description스포츠강좌 이용 시설 현황에 대한 데이터로 종목, 시설명, 전화번호, 선정일자, 주소, 기준일자에 관한 정보를 제공합니다.
Author경기도 하남시
URLhttps://www.data.go.kr/data/3047294/fileData.do

Alerts

기준일자 has constant value ""Constant
전화번호 has 43 (34.7%) missing valuesMissing
시설명 has unique valuesUnique
상세주소 has unique valuesUnique

Reproduction

Analysis started2024-04-17 20:13:50.115527
Analysis finished2024-04-17 20:13:50.634100
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목
Categorical

Distinct21
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
태권도
36 
기타종목
14 
필라테스
11 
수영
8 
요가
8 
Other values (16)
47 

Length

Max length5
Median length4
Mean length2.766129
Min length2

Unique

Unique5 ?
Unique (%)4.0%

Sample

1st row합기도
2nd row태권도
3rd row태권도
4th row복싱
5th row탁구

Common Values

ValueCountFrequency (%)
태권도 36
29.0%
기타종목 14
 
11.3%
필라테스 11
 
8.9%
수영 8
 
6.5%
요가 8
 
6.5%
헬스 7
 
5.6%
축구 6
 
4.8%
복싱 6
 
4.8%
합기도 5
 
4.0%
유도 4
 
3.2%
Other values (11) 19
15.3%

Length

2024-04-18T05:13:50.687120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
태권도 36
29.0%
기타종목 14
 
11.3%
필라테스 11
 
8.9%
수영 8
 
6.5%
요가 8
 
6.5%
헬스 7
 
5.6%
축구 6
 
4.8%
복싱 6
 
4.8%
합기도 5
 
4.0%
유도 4
 
3.2%
Other values (11) 19
15.3%

시설명
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T05:13:50.879796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.1451613
Min length2

Characters and Unicode

Total characters1134
Distinct characters272
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

Unique124 ?
Unique (%)100.0%

Sample

1st row동양 합기도 무술관
2nd row용인대 푸르미르 태권도
3rd row경희대활기찬태권도
4th row빠이복싱
5th row이룸움직임발달센터(하남)
ValueCountFrequency (%)
태권도장 4
 
2.1%
태권도 4
 
2.1%
용인대 4
 
2.1%
플레이어스 2
 
1.1%
하남 2
 
1.1%
한국체대 2
 
1.1%
미사점 2
 
1.1%
경희대 2
 
1.1%
아카데미 2
 
1.1%
스포츠 2
 
1.1%
Other values (163) 164
86.3%
2024-04-18T05:13:51.176515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
6.3%
스 47
 
4.1%
도 42
 
3.7%
태 35
 
3.1%
권 34
 
3.0%
이 26
 
2.3%
장 19
 
1.7%
라 18
 
1.6%
사 18
 
1.6%
대 17
 
1.5%
Other values (262) 807
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 950
83.8%
Space Separator 71
 
6.3%
Uppercase Letter 52
 
4.6%
Lowercase Letter 22
 
1.9%
Other Punctuation 12
 
1.1%
Open Punctuation 9
 
0.8%
Close Punctuation 9
 
0.8%
Decimal Number 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 47
 
4.9%
도 42
 
4.4%
태 35
 
3.7%
권 34
 
3.6%
이 26
 
2.7%
장 19
 
2.0%
라 18
 
1.9%
사 18
 
1.9%
대 17
 
1.8%
미 17
 
1.8%
Other values (220) 677
71.3%
Uppercase Letter
ValueCountFrequency (%)
T 8
15.4%
P 6
11.5%
S 6
11.5%
O 6
11.5%
I 5
9.6%
M 5
9.6%
G 2
 
3.8%
A 2
 
3.8%
N 2
 
3.8%
D 2
 
3.8%
Other values (8) 8
15.4%
Lowercase Letter
ValueCountFrequency (%)
l 4
18.2%
a 4
18.2%
s 3
13.6%
i 2
9.1%
e 2
9.1%
n 1
 
4.5%
r 1
 
4.5%
p 1
 
4.5%
u 1
 
4.5%
k 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
0 1
 
11.1%
5 1
 
11.1%
6 1
 
11.1%
3 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 6
50.0%
. 5
41.7%
, 1
 
8.3%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 950
83.8%
Common 110
 
9.7%
Latin 74
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 47
 
4.9%
도 42
 
4.4%
태 35
 
3.7%
권 34
 
3.6%
이 26
 
2.7%
장 19
 
2.0%
라 18
 
1.9%
사 18
 
1.9%
대 17
 
1.8%
미 17
 
1.8%
Other values (220) 677
71.3%
Latin
ValueCountFrequency (%)
T 8
 
10.8%
P 6
 
8.1%
S 6
 
8.1%
O 6
 
8.1%
I 5
 
6.8%
M 5
 
6.8%
l 4
 
5.4%
a 4
 
5.4%
s 3
 
4.1%
G 2
 
2.7%
Other values (20) 25
33.8%
Common
ValueCountFrequency (%)
71
64.5%
( 9
 
8.2%
) 9
 
8.2%
& 6
 
5.5%
. 5
 
4.5%
2 3
 
2.7%
1 2
 
1.8%
, 1
 
0.9%
0 1
 
0.9%
5 1
 
0.9%
Other values (2) 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 950
83.8%
ASCII 184
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
38.6%
( 9
 
4.9%
) 9
 
4.9%
T 8
 
4.3%
P 6
 
3.3%
& 6
 
3.3%
S 6
 
3.3%
O 6
 
3.3%
I 5
 
2.7%
M 5
 
2.7%
Other values (32) 53
28.8%
Hangul
ValueCountFrequency (%)
스 47
 
4.9%
도 42
 
4.4%
태 35
 
3.7%
권 34
 
3.6%
이 26
 
2.7%
장 19
 
2.0%
라 18
 
1.9%
사 18
 
1.9%
대 17
 
1.8%
미 17
 
1.8%
Other values (220) 677
71.3%

전화번호
Text

MISSING 

Distinct79
Distinct (%)97.5%
Missing43
Missing (%)34.7%
Memory size1.1 KiB
2024-04-18T05:13:51.394576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.888889
Min length11

Characters and Unicode

Total characters963
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

Unique77 ?
Unique (%)95.1%

Sample

1st row031-792-1003
2nd row031-793-7774
3rd row02-488-8939
4th row031-795-2622
5th row031-794-7798
ValueCountFrequency (%)
031-793-1000 2
 
2.5%
02-474-7260 2
 
2.5%
031-796-4605 1
 
1.2%
031-796-6636 1
 
1.2%
031-795-5115 1
 
1.2%
031-795-8250 1
 
1.2%
02-489-1230 1
 
1.2%
031-795-6311 1
 
1.2%
031-791-0818 1
 
1.2%
02-486-9909 1
 
1.2%
Other values (69) 69
85.2%
2024-04-18T05:13:51.742369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 162
16.8%
0 125
13.0%
7 118
12.3%
3 100
10.4%
9 100
10.4%
1 99
10.3%
2 58
 
6.0%
4 57
 
5.9%
8 55
 
5.7%
6 48
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 801
83.2%
Dash Punctuation 162
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
15.6%
7 118
14.7%
3 100
12.5%
9 100
12.5%
1 99
12.4%
2 58
7.2%
4 57
7.1%
8 55
6.9%
6 48
 
6.0%
5 41
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 963
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 162
16.8%
0 125
13.0%
7 118
12.3%
3 100
10.4%
9 100
10.4%
1 99
10.3%
2 58
 
6.0%
4 57
 
5.9%
8 55
 
5.7%
6 48
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 162
16.8%
0 125
13.0%
7 118
12.3%
3 100
10.4%
9 100
10.4%
1 99
10.3%
2 58
 
6.0%
4 57
 
5.9%
8 55
 
5.7%
6 48
 
5.0%

선정일자
Date

Distinct103
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2012-01-04 00:00:00
Maximum2024-01-29 00:00:00
2024-04-18T05:13:51.858827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:13:51.971009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소
Text

Distinct101
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T05:13:52.213761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length17.919355
Min length10

Characters and Unicode

Total characters2222
Distinct characters71
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)66.9%

Sample

1st row경기도 하남시 신장로 201
2nd row경기도 하남시 신장동로 35
3rd row경기도 하남시 덕풍공원로 16
4th row경기도 하남시 신우실로 67
5th row경기도 하남시 신장로 94
ValueCountFrequency (%)
하남시 124
25.1%
경기도 123
24.8%
미사강변대로226번길 13
 
2.6%
대청로 10
 
2.0%
미사강변동로 8
 
1.6%
미사강변대로 7
 
1.4%
미사강변중앙로 6
 
1.2%
감일백제로 6
 
1.2%
신우실로 6
 
1.2%
15 5
 
1.0%
Other values (122) 187
37.8%
2024-04-18T05:13:52.578190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
16.7%
남 132
 
5.9%
하 130
 
5.9%
경 124
 
5.6%
시 124
 
5.6%
기 124
 
5.6%
로 123
 
5.5%
도 123
 
5.5%
1 85
 
3.8%
2 80
 
3.6%
Other values (61) 806
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1429
64.3%
Decimal Number 407
 
18.3%
Space Separator 371
 
16.7%
Dash Punctuation 13
 
0.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 132
 
9.2%
하 130
 
9.1%
경 124
 
8.7%
시 124
 
8.7%
기 124
 
8.7%
로 123
 
8.6%
도 123
 
8.6%
강 54
 
3.8%
사 53
 
3.7%
미 53
 
3.7%
Other values (47) 389
27.2%
Decimal Number
ValueCountFrequency (%)
1 85
20.9%
2 80
19.7%
0 39
9.6%
6 36
8.8%
5 35
8.6%
3 31
 
7.6%
7 28
 
6.9%
4 26
 
6.4%
9 26
 
6.4%
8 21
 
5.2%
Space Separator
ValueCountFrequency (%)
371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1429
64.3%
Common 793
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 132
 
9.2%
하 130
 
9.1%
경 124
 
8.7%
시 124
 
8.7%
기 124
 
8.7%
로 123
 
8.6%
도 123
 
8.6%
강 54
 
3.8%
사 53
 
3.7%
미 53
 
3.7%
Other values (47) 389
27.2%
Common
ValueCountFrequency (%)
371
46.8%
1 85
 
10.7%
2 80
 
10.1%
0 39
 
4.9%
6 36
 
4.5%
5 35
 
4.4%
3 31
 
3.9%
7 28
 
3.5%
4 26
 
3.3%
9 26
 
3.3%
Other values (4) 36
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1429
64.3%
ASCII 793
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
46.8%
1 85
 
10.7%
2 80
 
10.1%
0 39
 
4.9%
6 36
 
4.5%
5 35
 
4.4%
3 31
 
3.9%
7 28
 
3.5%
4 26
 
3.3%
9 26
 
3.3%
Other values (4) 36
 
4.5%
Hangul
ValueCountFrequency (%)
남 132
 
9.2%
하 130
 
9.1%
경 124
 
8.7%
시 124
 
8.7%
기 124
 
8.7%
로 123
 
8.6%
도 123
 
8.6%
강 54
 
3.8%
사 53
 
3.7%
미 53
 
3.7%
Other values (47) 389
27.2%

상세주소
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T05:13:52.766144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length15.16129
Min length2

Characters and Unicode

Total characters1880
Distinct characters234
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

Unique124 ?
Unique (%)100.0%

Sample

1st row(덕풍동) 동양합기도무술관
2nd row(신장동) 201호
3rd row2층 경희대활기찬태권도(덕풍동)
4th row304호 복싱(감일동)
5th row호정빌딩 8층(신장동)
ValueCountFrequency (%)
2층 15
 
5.8%
5층 8
 
3.1%
3층 8
 
3.1%
7층 3
 
1.2%
상가 3
 
1.2%
4층 3
 
1.2%
11층 2
 
0.8%
501호 2
 
0.8%
206호 2
 
0.8%
미사강변도시17단지 2
 
0.8%
Other values (203) 212
81.5%
2024-04-18T05:13:53.051075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
7.2%
동 128
 
6.8%
( 122
 
6.5%
) 122
 
6.5%
호 69
 
3.7%
0 67
 
3.6%
층 64
 
3.4%
2 57
 
3.0%
1 56
 
3.0%
3 46
 
2.4%
Other values (224) 1013
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1149
61.1%
Decimal Number 314
 
16.7%
Space Separator 136
 
7.2%
Open Punctuation 122
 
6.5%
Close Punctuation 122
 
6.5%
Uppercase Letter 18
 
1.0%
Other Punctuation 14
 
0.7%
Math Symbol 2
 
0.1%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 128
 
11.1%
호 69
 
6.0%
층 64
 
5.6%
망 43
 
3.7%
월 43
 
3.7%
장 30
 
2.6%
풍 28
 
2.4%
스 27
 
2.3%
이 24
 
2.1%
도 23
 
2.0%
Other values (195) 670
58.3%
Decimal Number
ValueCountFrequency (%)
0 67
21.3%
2 57
18.2%
1 56
17.8%
3 46
14.6%
5 29
9.2%
4 16
 
5.1%
6 15
 
4.8%
7 11
 
3.5%
8 10
 
3.2%
9 7
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
T 3
16.7%
O 3
16.7%
B 3
16.7%
S 2
11.1%
P 2
11.1%
A 1
 
5.6%
R 1
 
5.6%
I 1
 
5.6%
X 1
 
5.6%
E 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
. 2
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1149
61.1%
Common 711
37.8%
Latin 20
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 128
 
11.1%
호 69
 
6.0%
층 64
 
5.6%
망 43
 
3.7%
월 43
 
3.7%
장 30
 
2.6%
풍 28
 
2.4%
스 27
 
2.3%
이 24
 
2.1%
도 23
 
2.0%
Other values (195) 670
58.3%
Common
ValueCountFrequency (%)
136
19.1%
( 122
17.2%
) 122
17.2%
0 67
9.4%
2 57
8.0%
1 56
7.9%
3 46
 
6.5%
5 29
 
4.1%
4 16
 
2.3%
6 15
 
2.1%
Other values (7) 45
 
6.3%
Latin
ValueCountFrequency (%)
T 3
15.0%
O 3
15.0%
B 3
15.0%
S 2
10.0%
P 2
10.0%
A 1
 
5.0%
k 1
 
5.0%
R 1
 
5.0%
I 1
 
5.0%
X 1
 
5.0%
Other values (2) 2
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1149
61.1%
ASCII 731
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
18.6%
( 122
16.7%
) 122
16.7%
0 67
9.2%
2 57
7.8%
1 56
7.7%
3 46
 
6.3%
5 29
 
4.0%
4 16
 
2.2%
6 15
 
2.1%
Other values (19) 65
8.9%
Hangul
ValueCountFrequency (%)
동 128
 
11.1%
호 69
 
6.0%
층 64
 
5.6%
망 43
 
3.7%
월 43
 
3.7%
장 30
 
2.6%
풍 28
 
2.4%
스 27
 
2.3%
이 24
 
2.1%
도 23
 
2.0%
Other values (195) 670
58.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-02-21
124 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-21
2nd row2024-02-21
3rd row2024-02-21
4th row2024-02-21
5th row2024-02-21

Common Values

ValueCountFrequency (%)
2024-02-21 124
100.0%

Length

2024-04-18T05:13:53.154142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:13:53.220429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-21 124
100.0%

Correlations

2024-04-18T05:13:53.262366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목전화번호
종목1.0000.657
전화번호0.6571.000

Missing values

2024-04-18T05:13:50.597736image/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

종목시설명전화번호선정일자주소상세주소기준일자
0합기도동양 합기도 무술관031-792-10032016-03-15경기도 하남시 신장로 201(덕풍동) 동양합기도무술관2024-02-21
1태권도용인대 푸르미르 태권도031-793-77742016-02-11경기도 하남시 신장동로 35(신장동) 201호2024-02-21
2태권도경희대활기찬태권도<NA>2021-02-25경기도 하남시 덕풍공원로 162층 경희대활기찬태권도(덕풍동)2024-02-21
3복싱빠이복싱02-488-89392022-08-08경기도 하남시 신우실로 67304호 복싱(감일동)2024-02-21
4탁구이룸움직임발달센터(하남)031-795-26222022-07-05경기도 하남시 신장로 94호정빌딩 8층(신장동)2024-02-21
5태권도신성태권도031-794-77982022-07-25경기도 하남시 하남대로802번길 152층(신장동)2024-02-21
6복싱박상재위너복싱PT센터<NA>2022-05-18경기도 하남시 미사강변대로226번길 142층 204호(망월동)2024-02-21
7펜싱윤남진 펜싱클럽<NA>2022-10-01경기도 하남시 미사강변중앙로 22011층 1103호(망월동)2024-02-21
8태권도경희대 효 태권도02-488-27772023-01-17경기도 하남시 신우실로 73뉴욕타워 501호 경희대 효 태권도(감일동)2024-02-21
9필라테스리투필라테스<NA>2023-05-22경기도 하남시 신우실로 65402호(감일동)2024-02-21
종목시설명전화번호선정일자주소상세주소기준일자
114태권도국가대표아이태권도장<NA>2023-01-12경기도 하남시 감일백제로 1095층 국가대표아이태권도장(감이동)2024-02-21
115기타종목미사점프윙스줄넘기<NA>2023-06-07경기도 하남시 미사강변대로226번길 263층 301호 미사점프윙스줄넘기(망월동)2024-02-21
116필라테스더베러필라테스&PT<NA>2024-01-22경기도 하남시 감일백제로180번길 20609(감이동)2024-02-21
117테니스에브리테니스<NA>2024-01-08경기도 하남시 감일남로 36-2지하1층(감일동)2024-02-21
118축구FC DDOIT MISA031-699-06422023-09-27경기도 하남시 미사강변한강로 135다동 B150호(망월동)2024-02-21
119축구키커스스포츠02-6952-97192023-11-02경기도 하남시 신우실로 833층 풋살장(감이동)2024-02-21
120축구플레이어스 키즈스포츠클럽02-474-72602022-08-08경기도 하남시 감일백제로83번길 20202호(감이동)2024-02-21
121태권도경희대 호림태권도장031-795-15992016-06-27경기도 하남시 덕풍북로259번길 55(덕풍동)2층(나룰초교 정문앞)2024-02-21
122태권도하남경희대태권도<NA>2012-01-04경기 하남시 덕풍동681-12024-02-21
123수영하남시청031-790-20002015-01-12경기도 하남시 대청로 10하남시청(신장동)2024-02-21