Overview

Dataset statistics

Number of variables10
Number of observations134
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory83.0 B

Variable types

Numeric2
Categorical7
Text1

Dataset

Description이 데이터는 서울특별시 동작구에서 운영하는 자치회관프로그램 현황에 관한 데이터입니다. 이 데이터에는 프로그램 운영 행정동, 강좌명, 강의기간, 운영요일, 운영시간, 장소, 수강료(3개월 단위), 정원, 대상 등이 포함되어 있습니다.
Author서울특별시 동작구
URLhttps://www.data.go.kr/data/15037754/fileData.do

Alerts

강의기간 has constant value ""Constant
동명 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
장소 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 동명 and 1 other fieldsHigh correlation
수강료 is highly overall correlated with 동명 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:36:56.295756
Analysis finished2023-12-12 23:36:57.542537
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.5
Minimum1
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T08:36:57.624698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.65
Q134.25
median67.5
Q3100.75
95-th percentile127.35
Maximum134
Range133
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation38.826537
Coefficient of variation (CV)0.57520796
Kurtosis-1.2
Mean67.5
Median Absolute Deviation (MAD)33.5
Skewness0
Sum9045
Variance1507.5
MonotonicityStrictly increasing
2023-12-13T08:36:57.805531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
86 1
 
0.7%
100 1
 
0.7%
99 1
 
0.7%
98 1
 
0.7%
97 1
 
0.7%
96 1
 
0.7%
95 1
 
0.7%
94 1
 
0.7%
93 1
 
0.7%
Other values (124) 124
92.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%
125 1
0.7%

동명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사당2동
14 
상도4동
13 
신대방2동
12 
상도1동
11 
흑석동
11 
Other values (10)
73 

Length

Max length5
Median length4
Mean length4.0597015
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노량진1동
2nd row노량진1동
3rd row노량진1동
4th row노량진1동
5th row노량진1동

Common Values

ValueCountFrequency (%)
사당2동 14
10.4%
상도4동 13
9.7%
신대방2동 12
9.0%
상도1동 11
8.2%
흑석동 11
8.2%
사당1동 11
8.2%
대방동 11
8.2%
상도3동 9
 
6.7%
사당4동 8
 
6.0%
사당5동 8
 
6.0%
Other values (5) 26
19.4%

Length

2023-12-13T08:36:57.976971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사당2동 14
10.4%
상도4동 13
9.7%
신대방2동 12
9.0%
상도1동 11
8.2%
흑석동 11
8.2%
사당1동 11
8.2%
대방동 11
8.2%
상도3동 9
 
6.7%
사당4동 8
 
6.0%
사당5동 8
 
6.0%
Other values (5) 26
19.4%
Distinct108
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T08:36:58.245798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.4776119
Min length3

Characters and Unicode

Total characters868
Distinct characters155
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)68.7%

Sample

1st row기타교실
2nd row실버댄스스포츠
3rd row생활요가
4th row스마트폰 기초
5th row수묵화
ValueCountFrequency (%)
요가교실 6
 
3.1%
스마트폰 6
 
3.1%
노래교실 5
 
2.6%
교실 5
 
2.6%
라인댄스 5
 
2.6%
어린이 5
 
2.6%
기타교실 4
 
2.1%
기초 4
 
2.1%
캘리그라피 4
 
2.1%
b 4
 
2.1%
Other values (115) 143
74.9%
2023-12-13T08:36:58.687168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
6.6%
49
 
5.6%
48
 
5.5%
32
 
3.7%
27
 
3.1%
21
 
2.4%
19
 
2.2%
19
 
2.2%
( 18
 
2.1%
) 18
 
2.1%
Other values (145) 560
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 741
85.4%
Space Separator 57
 
6.6%
Uppercase Letter 26
 
3.0%
Open Punctuation 18
 
2.1%
Close Punctuation 18
 
2.1%
Other Punctuation 5
 
0.6%
Dash Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
6.6%
48
 
6.5%
32
 
4.3%
27
 
3.6%
21
 
2.8%
19
 
2.6%
19
 
2.6%
15
 
2.0%
15
 
2.0%
14
 
1.9%
Other values (131) 482
65.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
42.3%
A 11
42.3%
I 1
 
3.8%
T 1
 
3.8%
Q 1
 
3.8%
E 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
, 2
40.0%
· 1
20.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 741
85.4%
Common 100
 
11.5%
Latin 27
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
6.6%
48
 
6.5%
32
 
4.3%
27
 
3.6%
21
 
2.8%
19
 
2.6%
19
 
2.6%
15
 
2.0%
15
 
2.0%
14
 
1.9%
Other values (131) 482
65.0%
Common
ValueCountFrequency (%)
57
57.0%
( 18
 
18.0%
) 18
 
18.0%
- 2
 
2.0%
& 2
 
2.0%
, 2
 
2.0%
· 1
 
1.0%
Latin
ValueCountFrequency (%)
B 11
40.7%
A 11
40.7%
c 1
 
3.7%
I 1
 
3.7%
T 1
 
3.7%
Q 1
 
3.7%
E 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 741
85.4%
ASCII 126
 
14.5%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
45.2%
( 18
 
14.3%
) 18
 
14.3%
B 11
 
8.7%
A 11
 
8.7%
- 2
 
1.6%
& 2
 
1.6%
, 2
 
1.6%
c 1
 
0.8%
I 1
 
0.8%
Other values (3) 3
 
2.4%
Hangul
ValueCountFrequency (%)
49
 
6.6%
48
 
6.5%
32
 
4.3%
27
 
3.6%
21
 
2.8%
19
 
2.6%
19
 
2.6%
15
 
2.0%
15
 
2.0%
14
 
1.9%
Other values (131) 482
65.0%
None
ValueCountFrequency (%)
· 1
100.0%

강의기간
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023년 3분기
134 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023년 3분기
2nd row2023년 3분기
3rd row2023년 3분기
4th row2023년 3분기
5th row2023년 3분기

Common Values

ValueCountFrequency (%)
2023년 3분기 134
100.0%

Length

2023-12-13T08:36:58.812919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:36:58.902871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023년 134
50.0%
3분기 134
50.0%

운영요일
Categorical

Distinct12
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
28 
25 
22 
18 
14 
Other values (7)
27 

Length

Max length3
Median length1
Mean length1.4029851
Min length1

Unique

Unique3 ?
Unique (%)2.2%

Sample

1st row
2nd row
3rd row월·수
4th row
5th row

Common Values

ValueCountFrequency (%)
28
20.9%
25
18.7%
22
16.4%
18
13.4%
14
10.4%
월·수 10
 
7.5%
화·목 9
 
6.7%
월~금 3
 
2.2%
월·금 2
 
1.5%
월·목 1
 
0.7%
Other values (2) 2
 
1.5%

Length

2023-12-13T08:36:59.298851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
28
20.9%
25
18.7%
22
16.4%
18
13.4%
14
10.4%
월·수 10
 
7.5%
화·목 9
 
6.7%
월~금 3
 
2.2%
월·금 2
 
1.5%
월·목 1
 
0.7%
Other values (2) 2
 
1.5%

운영시간
Categorical

Distinct32
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
10:00~12:00
32 
14:00~16:00
16 
13:00~15:00
13 
16:00~18:00
10:00~11:00
Other values (27)
58 

Length

Max length23
Median length11
Mean length11.268657
Min length11

Unique

Unique13 ?
Unique (%)9.7%

Sample

1st row10:00~12:00
2nd row13:00~15:00
3rd row17:00~18:00
4th row10:00~12:00
5th row10:00~12:00

Common Values

ValueCountFrequency (%)
10:00~12:00 32
23.9%
14:00~16:00 16
11.9%
13:00~15:00 13
 
9.7%
16:00~18:00 8
 
6.0%
10:00~11:00 7
 
5.2%
17:00~18:00 6
 
4.5%
13:30~15:30 5
 
3.7%
16:00~17:00 5
 
3.7%
10:30~12:30 4
 
3.0%
09:30~11:30 4
 
3.0%
Other values (22) 34
25.4%

Length

2023-12-13T08:36:59.422287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~12:00 32
23.9%
14:00~16:00 16
11.9%
13:00~15:00 13
 
9.7%
16:00~18:00 8
 
6.0%
10:00~11:00 7
 
5.2%
17:00~18:00 6
 
4.5%
13:30~15:30 5
 
3.7%
16:00~17:00 5
 
3.7%
10:30~12:30 4
 
3.0%
09:30~11:30 4
 
3.0%
Other values (22) 34
25.4%

장소
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사당2동 주민센터(동작구 동작대로29길 52)
14 
상도4동 주민센터(동작구 양녕로27길 44)
13 
신대방2동 주민센터(동작구 여의대방로24길 76)
12 
상도1동 주민센터(동작구 상도로53길 9)
11 
흑석동 주민센터(동작구 흑석한강로 11)
11 
Other values (10)
73 

Length

Max length27
Median length25
Mean length24.268657
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노량진1동 주민센터(동작구 장승배기로28길 30)
2nd row노량진1동 주민센터(동작구 장승배기로28길 30)
3rd row노량진1동 주민센터(동작구 장승배기로28길 30)
4th row노량진1동 주민센터(동작구 장승배기로28길 30)
5th row노량진1동 주민센터(동작구 장승배기로28길 30)

Common Values

ValueCountFrequency (%)
사당2동 주민센터(동작구 동작대로29길 52) 14
10.4%
상도4동 주민센터(동작구 양녕로27길 44) 13
9.7%
신대방2동 주민센터(동작구 여의대방로24길 76) 12
9.0%
상도1동 주민센터(동작구 상도로53길 9) 11
8.2%
흑석동 주민센터(동작구 흑석한강로 11) 11
8.2%
사당1동 주민센터(동작구 동작대로17길 28) 11
8.2%
대방동 주민센터(동작구 여의대방로44길 20) 11
8.2%
상도3동 주민센터(동작구 성대로2길 11) 9
 
6.7%
사당4동 주민센터(동작구 사당로16아길 6) 8
 
6.0%
사당5동 주민센터(동작구 사당로2가길 219) 8
 
6.0%
Other values (5) 26
19.4%

Length

2023-12-13T08:36:59.532237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민센터(동작구 130
24.3%
11 20
 
3.7%
사당2동 14
 
2.6%
동작대로29길 14
 
2.6%
52 14
 
2.6%
상도4동 13
 
2.4%
양녕로27길 13
 
2.4%
44 13
 
2.4%
신대방2동 12
 
2.2%
여의대방로24길 12
 
2.2%
Other values (36) 281
52.4%

수강료
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
45000원
77 
30000원
16 
22500원
10 
42000원
36000원
Other values (8)
15 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique4 ?
Unique (%)3.0%

Sample

1st row45000원
2nd row45000원
3rd row45000원
4th row45000원
5th row45000원

Common Values

ValueCountFrequency (%)
45000원 77
57.5%
30000원 16
 
11.9%
22500원 10
 
7.5%
42000원 8
 
6.0%
36000원 8
 
6.0%
39000원 4
 
3.0%
90000원 3
 
2.2%
75000원 2
 
1.5%
51000원 2
 
1.5%
18000원 1
 
0.7%
Other values (3) 3
 
2.2%

Length

2023-12-13T08:36:59.682014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
45000원 77
57.5%
30000원 16
 
11.9%
22500원 10
 
7.5%
42000원 8
 
6.0%
36000원 8
 
6.0%
39000원 4
 
3.0%
90000원 3
 
2.2%
75000원 2
 
1.5%
51000원 2
 
1.5%
18000원 1
 
0.7%
Other values (3) 3
 
2.2%

정원
Real number (ℝ)

Distinct12
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.88806
Minimum12
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T08:36:59.805569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q115.25
median20
Q325
95-th percentile35
Maximum60
Range48
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation7.7466077
Coefficient of variation (CV)0.35391934
Kurtosis7.6482369
Mean21.88806
Median Absolute Deviation (MAD)5
Skewness2.1832807
Sum2933
Variance60.009932
MonotonicityNot monotonic
2023-12-13T08:36:59.937144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20 52
38.8%
15 28
20.9%
30 17
 
12.7%
25 15
 
11.2%
12 6
 
4.5%
22 4
 
3.0%
40 4
 
3.0%
35 2
 
1.5%
19 2
 
1.5%
60 2
 
1.5%
Other values (2) 2
 
1.5%
ValueCountFrequency (%)
12 6
 
4.5%
15 28
20.9%
16 1
 
0.7%
19 2
 
1.5%
20 52
38.8%
22 4
 
3.0%
24 1
 
0.7%
25 15
 
11.2%
30 17
 
12.7%
35 2
 
1.5%
ValueCountFrequency (%)
60 2
 
1.5%
40 4
 
3.0%
35 2
 
1.5%
30 17
 
12.7%
25 15
 
11.2%
24 1
 
0.7%
22 4
 
3.0%
20 52
38.8%
19 2
 
1.5%
16 1
 
0.7%

대상
Categorical

Distinct15
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
성인
66 
주민
45 
아동
 
6
어르신
 
4
초등학생
 
2
Other values (10)
11 

Length

Max length13
Median length2
Mean length2.358209
Min length2

Unique

Unique9 ?
Unique (%)6.7%

Sample

1st row주민
2nd row어르신
3rd row주민
4th row주민
5th row주민

Common Values

ValueCountFrequency (%)
성인 66
49.3%
주민 45
33.6%
아동 6
 
4.5%
어르신 4
 
3.0%
초등학생 2
 
1.5%
6~7세 2
 
1.5%
어린이(5~9세) 1
 
0.7%
만65세이상 1
 
0.7%
8세이상 1
 
0.7%
60세이상 1
 
0.7%
Other values (5) 5
 
3.7%

Length

2023-12-13T08:37:00.090161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성인 66
48.9%
주민 45
33.3%
아동 6
 
4.4%
어르신 4
 
3.0%
초등학생 2
 
1.5%
6~7세 2
 
1.5%
초등 2
 
1.5%
어린이(5~9세 1
 
0.7%
만65세이상 1
 
0.7%
8세이상 1
 
0.7%
Other values (5) 5
 
3.7%

Interactions

2023-12-13T08:36:57.120366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:36:56.940167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:36:57.209590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:36:57.033175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:37:00.189933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명운영요일운영시간장소수강료정원대상
연번1.0000.9680.3480.2910.9680.7670.4110.571
동명0.9681.0000.0000.4241.0000.8800.5500.703
운영요일0.3480.0001.0000.7400.0000.6070.4190.000
운영시간0.2910.4240.7401.0000.4240.6140.7670.786
장소0.9681.0000.0000.4241.0000.8800.5500.703
수강료0.7670.8800.6070.6140.8801.0000.2960.783
정원0.4110.5500.4190.7670.5500.2961.0000.000
대상0.5710.7030.0000.7860.7030.7830.0001.000
2023-12-13T08:37:00.333945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동명운영시간장소운영요일수강료대상
동명1.0000.1201.0000.0000.5670.244
운영시간0.1201.0000.1200.3080.2170.329
장소1.0000.1201.0000.0000.5670.244
운영요일0.0000.3080.0001.0000.2790.000
수강료0.5670.2170.5670.2791.0000.419
대상0.2440.3290.2440.0000.4191.000
2023-12-13T08:37:00.440033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원동명운영요일운영시간장소수강료대상
연번1.0000.0380.7910.1500.0870.7910.4470.245
정원0.0381.0000.2760.2130.4000.2760.1360.000
동명0.7910.2761.0000.0000.1201.0000.5670.244
운영요일0.1500.2130.0001.0000.3080.0000.2790.000
운영시간0.0870.4000.1200.3081.0000.1200.2170.329
장소0.7910.2761.0000.0000.1201.0000.5670.244
수강료0.4470.1360.5670.2790.2170.5671.0000.419
대상0.2450.0000.2440.0000.3290.2440.4191.000

Missing values

2023-12-13T08:36:57.329043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:36:57.475391image/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

연번동명강좌명강의기간운영요일운영시간장소수강료정원대상
01노량진1동기타교실2023년 3분기10:00~12:00노량진1동 주민센터(동작구 장승배기로28길 30)45000원25주민
12노량진1동실버댄스스포츠2023년 3분기13:00~15:00노량진1동 주민센터(동작구 장승배기로28길 30)45000원15어르신
23노량진1동생활요가2023년 3분기월·수17:00~18:00노량진1동 주민센터(동작구 장승배기로28길 30)45000원16주민
34노량진1동스마트폰 기초2023년 3분기10:00~12:00노량진1동 주민센터(동작구 장승배기로28길 30)45000원20주민
45노량진1동수묵화2023년 3분기10:00~12:00노량진1동 주민센터(동작구 장승배기로28길 30)45000원22주민
56노량진1동서예캘리그라피2023년 3분기13:00~15:00노량진1동 주민센터(동작구 장승배기로28길 30)45000원22주민
67노량진2동생활요가2023년 3분기월·수09:30~10:30노량진2동 자치회관(동작구 노량진로 190)39000원20주민
78노량진2동통기타2023년 3분기13:00~15:00노량진2동 자치회관(동작구 노량진로 190)39000원20주민
89노량진2동사물놀이2023년 3분기10:00~12:00노량진2동 자치회관(동작구 노량진로 190)39000원20주민
910노량진2동노래교실2023년 3분기14:00~16:00노량진2동 자치회관(동작구 노량진로 190)39000원30주민
연번동명강좌명강의기간운영요일운영시간장소수강료정원대상
124125신대방2동노래교실(B)2023년 3분기10:00~12:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원60성인
125126신대방2동스피노요가2023년 3분기화·목16:30~17:30신대방2동 주민센터(동작구 여의대방로24길 76)45000원25성인
126127신대방2동힐링요가2023년 3분기화·금10:00~11:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원25성인
127128신대방2동어린이 멀티아트2023년 3분기월·금16:00~17:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원15아동
128129신대방2동어린이 창의미술2023년 3분기16:30~18:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원20초등 저학년(1~3학년)
129130신대방2동회화용 영어문법2023년 3분기10:00~12:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원25성인
130131신대방2동캘리그라피2023년 3분기14:00~16:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원15성인
131132신대방2동일본어 교실 (중급)2023년 3분기10:00~12:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원20성인
132133신대방2동일본어 교실 (초급)2023년 3분기13:00~15:00신대방2동 주민센터(동작구 여의대방로24길 76)45000원20성인
133134신대방2동기타 교실2023년 3분기18:30~20:30신대방2동 주민센터(동작구 여의대방로24길 76)45000원20성인