Overview

Dataset statistics

Number of variables11
Number of observations368
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.5 KiB
Average record size in memory90.4 B

Variable types

Categorical5
Text1
DateTime3
Numeric2

Dataset

Description서울특별시 영등포구 구민체육센터 2023년 11월 강좌내역 및 수강을 위한 기초정보(강좌명, 장소, 정원, 강습요일, 수강료 등)입니다.
Author서울특별시 영등포구
URLhttps://www.data.go.kr/data/3076682/fileData.do

Alerts

강좌년월 has constant value ""Constant
종목 is highly overall correlated with 장소 and 2 other fieldsHigh correlation
비고 is highly overall correlated with 정원 and 5 other fieldsHigh correlation
정원 is highly overall correlated with 회비 and 1 other fieldsHigh correlation
회비 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
장소 is highly overall correlated with 종목 and 1 other fieldsHigh correlation
수강요일 is highly overall correlated with 종목 and 1 other fieldsHigh correlation
대상(강좌) is highly overall correlated with 비고High correlation
대상(강좌) is highly imbalanced (57.6%)Imbalance
비고 is highly imbalanced (76.2%)Imbalance

Reproduction

Analysis started2023-12-12 14:59:09.705483
Analysis finished2023-12-12 14:59:10.836159
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장소
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
영등포제2스포츠센터
197 
영등포제1스포츠센터
153 
영등포공공여가부
 
18

Length

Max length10
Median length10
Mean length9.9021739
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영등포제1스포츠센터
2nd row영등포제1스포츠센터
3rd row영등포제1스포츠센터
4th row영등포제1스포츠센터
5th row영등포제1스포츠센터

Common Values

ValueCountFrequency (%)
영등포제2스포츠센터 197
53.5%
영등포제1스포츠센터 153
41.6%
영등포공공여가부 18
 
4.9%

Length

2023-12-12T23:59:10.944065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:11.045768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영등포제2스포츠센터 197
53.5%
영등포제1스포츠센터 153
41.6%
영등포공공여가부 18
 
4.9%

종목
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
생활체육
173 
수영
92 
문화강좌
47 
골프
28 
헬스
 
10
Other values (3)
18 

Length

Max length4
Median length4
Mean length3.2826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활체육 173
47.0%
수영 92
25.0%
문화강좌 47
 
12.8%
골프 28
 
7.6%
헬스 10
 
2.7%
배드민턴 10
 
2.7%
클라이밍 4
 
1.1%
테니스 4
 
1.1%

Length

2023-12-12T23:59:11.177737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:11.320892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활체육 173
47.0%
수영 92
25.0%
문화강좌 47
 
12.8%
골프 28
 
7.6%
헬스 10
 
2.7%
배드민턴 10
 
2.7%
클라이밍 4
 
1.1%
테니스 4
 
1.1%

프로그램
Text

Distinct343
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T23:59:11.536381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length9.2880435
Min length4

Characters and Unicode

Total characters3418
Distinct characters194
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)86.4%

Sample

1st row새벽06A
2nd row새벽06B
3rd row조기07A
4th row조기07B
5th row아침08A
ValueCountFrequency (%)
소도구 14
 
3.1%
박진 11
 
2.5%
배드민턴 10
 
2.2%
주말 8
 
1.8%
평일 6
 
1.3%
헬스 4
 
0.9%
테니스 3
 
0.7%
라인 2
 
0.4%
스피닝21a 2
 
0.4%
필라테스19a 2
 
0.4%
Other values (352) 385
86.1%
2023-12-12T23:59:11.934037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 299
 
8.7%
0 138
 
4.0%
B 132
 
3.9%
A 127
 
3.7%
스 121
 
3.5%
수 89
 
2.6%
2 87
 
2.5%
( 83
 
2.4%
) 83
 
2.4%
79
 
2.3%
Other values (184) 2180
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1979
57.9%
Decimal Number 738
 
21.6%
Uppercase Letter 276
 
8.1%
Open Punctuation 128
 
3.7%
Close Punctuation 128
 
3.7%
Space Separator 79
 
2.3%
Other Punctuation 44
 
1.3%
Dash Punctuation 39
 
1.1%
Math Symbol 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 121
 
6.1%
수 89
 
4.5%
구 65
 
3.3%
라 62
 
3.1%
필 54
 
2.7%
소 52
 
2.6%
테 49
 
2.5%
성 45
 
2.3%
기 43
 
2.2%
화 41
 
2.1%
Other values (155) 1358
68.6%
Decimal Number
ValueCountFrequency (%)
1 299
40.5%
0 138
18.7%
2 87
 
11.8%
9 56
 
7.6%
7 37
 
5.0%
6 33
 
4.5%
8 33
 
4.5%
3 25
 
3.4%
4 20
 
2.7%
5 10
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
B 132
47.8%
A 127
46.0%
C 10
 
3.6%
P 2
 
0.7%
F 1
 
0.4%
U 1
 
0.4%
N 1
 
0.4%
O 1
 
0.4%
K 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 16
36.4%
: 15
34.1%
& 13
29.5%
Open Punctuation
ValueCountFrequency (%)
( 83
64.8%
[ 45
35.2%
Close Punctuation
ValueCountFrequency (%)
) 83
64.8%
] 45
35.2%
Space Separator
ValueCountFrequency (%)
79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1979
57.9%
Common 1163
34.0%
Latin 276
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 121
 
6.1%
수 89
 
4.5%
구 65
 
3.3%
라 62
 
3.1%
필 54
 
2.7%
소 52
 
2.6%
테 49
 
2.5%
성 45
 
2.3%
기 43
 
2.2%
화 41
 
2.1%
Other values (155) 1358
68.6%
Common
ValueCountFrequency (%)
1 299
25.7%
0 138
11.9%
2 87
 
7.5%
( 83
 
7.1%
) 83
 
7.1%
79
 
6.8%
9 56
 
4.8%
] 45
 
3.9%
[ 45
 
3.9%
- 39
 
3.4%
Other values (10) 209
18.0%
Latin
ValueCountFrequency (%)
B 132
47.8%
A 127
46.0%
C 10
 
3.6%
P 2
 
0.7%
F 1
 
0.4%
U 1
 
0.4%
N 1
 
0.4%
O 1
 
0.4%
K 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1978
57.9%
ASCII 1439
42.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 299
20.8%
0 138
9.6%
B 132
9.2%
A 127
8.8%
2 87
 
6.0%
( 83
 
5.8%
) 83
 
5.8%
79
 
5.5%
9 56
 
3.9%
] 45
 
3.1%
Other values (19) 310
21.5%
Hangul
ValueCountFrequency (%)
스 121
 
6.1%
수 89
 
4.5%
구 65
 
3.3%
라 62
 
3.1%
필 54
 
2.7%
소 52
 
2.6%
테 49
 
2.5%
성 45
 
2.3%
기 43
 
2.2%
화 41
 
2.1%
Other values (154) 1357
68.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

강좌년월
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2023-11-01 00:00:00
Maximum2023-11-01 00:00:00
2023-12-12T23:59:12.426620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:12.547556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시작시간
Date

Distinct20
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2023-12-12 06:00:00
Maximum2023-12-12 21:00:00
2023-12-12T23:59:12.671383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:12.812472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

종료시간
Date

Distinct26
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2023-12-12 06:00:00
Maximum2023-12-12 22:00:00
2023-12-12T23:59:12.967012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:13.094515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

수강요일
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
화+목
123 
월+수+금
120 
월+수
16 
화
16 
월+화+수+목+금
15 
Other values (11)
78 

Length

Max length13
Median length9
Mean length3.6847826
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월+수+금
2nd row화+목
3rd row월+수+금
4th row화+목
5th row월+수+금

Common Values

ValueCountFrequency (%)
화+목 123
33.4%
월+수+금 120
32.6%
월+수 16
 
4.3%
화 16
 
4.3%
월+화+수+목+금 15
 
4.1%
목 15
 
4.1%
월 14
 
3.8%
토 11
 
3.0%
화목토 8
 
2.2%
수 7
 
1.9%
Other values (6) 23
 
6.2%

Length

2023-12-12T23:59:13.271685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화+목 123
33.4%
월+수+금 120
32.6%
월+수 16
 
4.3%
화 16
 
4.3%
월+화+수+목+금 15
 
4.1%
목 15
 
4.1%
월 14
 
3.8%
토 11
 
3.0%
화목토 8
 
2.2%
수 7
 
1.9%
Other values (6) 23
 
6.2%

대상(강좌)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
성인남녀(성인)
260 
성인남녀(성인), 청소년
37 
초등생(어린이)
29 
누구나
 
18
초등생
 
11
Other values (9)
 
13

Length

Max length18
Median length8
Mean length8.1413043
Min length3

Unique

Unique7 ?
Unique (%)1.9%

Sample

1st row성인남녀(성인), 청소년
2nd row성인남녀(성인), 청소년
3rd row성인남녀(성인), 청소년
4th row성인남녀(성인), 청소년
5th row성인남녀(성인)

Common Values

ValueCountFrequency (%)
성인남녀(성인) 260
70.7%
성인남녀(성인), 청소년 37
 
10.1%
초등생(어린이) 29
 
7.9%
누구나 18
 
4.9%
초등생 11
 
3.0%
성인여성(성인) 4
 
1.1%
유아(6~8세) 2
 
0.5%
성인남녀(성인), 청소년, 어린이 1
 
0.3%
영유아(6~7세)(어린이) 1
 
0.3%
유아(6~8세), 초등생 1
 
0.3%
Other values (4) 4
 
1.1%

Length

2023-12-12T23:59:13.446334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성인남녀(성인 298
72.9%
청소년 38
 
9.3%
초등생(어린이 29
 
7.1%
누구나 18
 
4.4%
초등생 12
 
2.9%
성인여성(성인 4
 
1.0%
유아(6~8세 3
 
0.7%
어린이 1
 
0.2%
영유아(6~7세)(어린이 1
 
0.2%
만50세 1
 
0.2%
Other values (4) 4
 
1.0%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.152174
Minimum3
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T23:59:13.583399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q110
median20
Q344
95-th percentile100
Maximum570
Range567
Interquartile range (IQR)34

Descriptive statistics

Standard deviation46.152439
Coefficient of variation (CV)1.3921391
Kurtosis77.282705
Mean33.152174
Median Absolute Deviation (MAD)13
Skewness7.4329755
Sum12200
Variance2130.0476
MonotonicityNot monotonic
2023-12-12T23:59:13.751243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7 49
13.3%
10 45
12.2%
15 40
10.9%
30 34
 
9.2%
44 22
 
6.0%
25 18
 
4.9%
20 18
 
4.9%
45 18
 
4.9%
100 17
 
4.6%
40 12
 
3.3%
Other values (21) 95
25.8%
ValueCountFrequency (%)
3 2
 
0.5%
4 4
 
1.1%
6 10
 
2.7%
7 49
13.3%
10 45
12.2%
12 11
 
3.0%
15 40
10.9%
18 7
 
1.9%
20 18
 
4.9%
22 2
 
0.5%
ValueCountFrequency (%)
570 1
 
0.3%
500 1
 
0.3%
120 10
2.7%
100 17
4.6%
80 2
 
0.5%
70 5
 
1.4%
67 2
 
0.5%
65 1
 
0.3%
60 2
 
0.5%
56 10
2.7%

회비
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)12.0%
Missing2
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean62428.415
Minimum11000
Maximum440000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T23:59:13.912368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile31000
Q140000
median47000
Q366000
95-th percentile132000
Maximum440000
Range429000
Interquartile range (IQR)26000

Descriptive statistics

Standard deviation46156.499
Coefficient of variation (CV)0.7393508
Kurtosis24.956055
Mean62428.415
Median Absolute Deviation (MAD)8000
Skewness4.0319433
Sum22848800
Variance2.1304224 × 109
MonotonicityNot monotonic
2023-12-12T23:59:14.075358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
47000 42
 
11.4%
35000 38
 
10.3%
42000 32
 
8.7%
50000 28
 
7.6%
120000 24
 
6.5%
55000 22
 
6.0%
31000 17
 
4.6%
48000 17
 
4.6%
44000 13
 
3.5%
45000 12
 
3.3%
Other values (34) 121
32.9%
ValueCountFrequency (%)
11000 1
 
0.3%
17600 1
 
0.3%
25000 3
 
0.8%
27000 2
 
0.5%
30000 6
 
1.6%
30800 2
 
0.5%
31000 17
4.6%
33000 1
 
0.3%
35000 38
10.3%
36000 4
 
1.1%
ValueCountFrequency (%)
440000 2
 
0.5%
240000 1
 
0.3%
220000 2
 
0.5%
200000 2
 
0.5%
180000 7
 
1.9%
150000 1
 
0.3%
144000 1
 
0.3%
132000 5
 
1.4%
126400 4
 
1.1%
120000 24
6.5%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
322 
청소년: 32,000
 
20
청소년: 21,000
 
15
청소년: 39,000
 
2
청소년: 30,800
 
2
Other values (6)
 
7

Length

Max length23
Median length4
Mean length4.9266304
Min length4

Unique

Unique5 ?
Unique (%)1.4%

Sample

1st row청소년: 32,000
2nd row청소년: 21,000
3rd row청소년: 32,000
4th row청소년: 21,000
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 322
87.5%
청소년: 32,000 20
 
5.4%
청소년: 21,000 15
 
4.1%
청소년: 39,000 2
 
0.5%
청소년: 30,800 2
 
0.5%
휴게시간: 13시~17시 2
 
0.5%
청소년: 46,000원 1
 
0.3%
청소년: 32,000 어린이: 26,000 1
 
0.3%
청소년: 15,600 1
 
0.3%
청소년: 33,000 1
 
0.3%

Length

2023-12-12T23:59:14.194938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 322
77.4%
청소년 43
 
10.3%
32,000 21
 
5.0%
21,000 15
 
3.6%
휴게시간 3
 
0.7%
39,000 2
 
0.5%
30,800 2
 
0.5%
13시~17시 2
 
0.5%
46,000원 1
 
0.2%
어린이 1
 
0.2%
Other values (4) 4
 
1.0%

Interactions

2023-12-12T23:59:10.430792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:10.271611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:10.512261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:10.352789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:59:14.277381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소종목시작시간종료시간수강요일대상(강좌)정원회비비고
장소1.0000.8110.4020.8560.4900.1370.1930.3820.819
종목0.8111.0000.6520.8770.9130.5870.4900.5741.000
시작시간0.4020.6521.0000.9930.5220.5460.0000.0000.775
종료시간0.8560.8770.9931.0000.6540.4390.0000.4110.940
수강요일0.4900.9130.5220.6541.0000.4810.6070.5150.972
대상(강좌)0.1370.5870.5460.4390.4811.0000.3830.4990.894
정원0.1930.4900.0000.0000.6070.3831.0000.0000.884
회비0.3820.5740.0000.4110.5150.4990.0001.0000.986
비고0.8191.0000.7750.9400.9720.8940.8840.9861.000
2023-12-12T23:59:14.393726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목비고장소대상(강좌)수강요일
종목1.0000.9260.7360.3030.576
비고0.9261.0000.6560.7690.876
장소0.7360.6561.0000.0740.302
대상(강좌)0.3030.7690.0741.0000.186
수강요일0.5760.8760.3020.1861.000
2023-12-12T23:59:14.492696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원회비장소종목수강요일대상(강좌)비고
정원1.000-0.6130.1470.3260.3590.2080.525
회비-0.6131.0000.2780.3530.2620.2050.777
장소0.1470.2781.0000.7360.3020.0740.656
종목0.3260.3530.7361.0000.5760.3030.926
수강요일0.3590.2620.3020.5761.0000.1860.876
대상(강좌)0.2080.2050.0740.3030.1861.0000.769
비고0.5250.7770.6560.9260.8760.7691.000

Missing values

2023-12-12T23:59:10.618176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:59:10.776236image/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

장소종목프로그램강좌년월시작시간종료시간수강요일대상(강좌)정원회비비고
0영등포제1스포츠센터수영새벽06A2023-1106:0006:50월+수+금성인남녀(성인), 청소년12047000청소년: 32,000
1영등포제1스포츠센터수영새벽06B2023-1106:0006:50화+목성인남녀(성인), 청소년12031000청소년: 21,000
2영등포제1스포츠센터수영조기07A2023-1107:0007:50월+수+금성인남녀(성인), 청소년12047000청소년: 32,000
3영등포제1스포츠센터수영조기07B2023-1107:0007:50화+목성인남녀(성인), 청소년12031000청소년: 21,000
4영등포제1스포츠센터수영아침08A2023-1108:0008:50월+수+금성인남녀(성인)10047000<NA>
5영등포제1스포츠센터수영아침08B2023-1108:0008:50화+목+토성인남녀(성인)10045000<NA>
6영등포제1스포츠센터수영장미09A2023-1109:0009:50월+수+금성인남녀(성인)10047000<NA>
7영등포제1스포츠센터수영장미09B2023-1109:0009:50화+목+토성인남녀(성인)10045000<NA>
8영등포제1스포츠센터수영매화10A2023-1110:0010:50월+수+금성인남녀(성인)10047000<NA>
9영등포제1스포츠센터수영매화10B2023-1110:0010:50화+목+토성인남녀(성인)10045000<NA>
장소종목프로그램강좌년월시작시간종료시간수강요일대상(강좌)정원회비비고
358영등포공공여가부배드민턴배드민턴 4부B12023-1119:0022:00화+목성인남녀(성인)2072000<NA>
359영등포공공여가부배드민턴배드민턴 4부B22023-1119:0022:00화+목성인남녀(성인)2072000<NA>
360영등포공공여가부클라이밍평일 실내 1부2023-1118:3020:00수+금성인남녀(성인)1060000<NA>
361영등포공공여가부클라이밍평일 실내 2부2023-1120:0021:30수+금성인남녀(성인)1060000<NA>
362영등포공공여가부클라이밍평일 실외 1부2023-1118:3020:00화+목성인남녀(성인)6100000<NA>
363영등포공공여가부클라이밍평일 실외 2부2023-1120:0021:30화+목성인남녀(성인)6100000<NA>
364영등포공공여가부테니스테니스 평일 A2023-1106:0022:00월+수+금성인남녀(성인)30150000휴게시간: 13시~17시
365영등포공공여가부테니스테니스 평일 B2023-1106:0022:00화+목성인남녀(성인)30120000휴게시간: 13시~17시
366영등포공공여가부테니스테니스 주말2023-1109:0006:00토+일성인남녀(성인)12200000휴게시간: 13시~14시
367영등포공공여가부테니스어린이소수반 주말2023-1116:0017:00토+일초등생(어린이)6100000<NA>