Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows1161
Duplicate rows (%)11.6%
Total size in memory654.3 KiB
Average record size in memory67.0 B

Variable types

Text2
DateTime2
Numeric3

Dataset

Description국립부산과학관에서 진행한 행사의 각 회차별 정보를 보여주는 테이블로 행사명, 접수일자, 회차명, 모집인원, 접수최소인원, 접수최대인원, 등록일의 정보를 제공합니다.
Author국립부산과학관
URLhttps://www.data.go.kr/data/15070701/fileData.do

Alerts

Dataset has 1161 (11.6%) duplicate rowsDuplicates
모집인원 is highly overall correlated with 접수최소인원 and 1 other fieldsHigh correlation
접수최소인원 is highly overall correlated with 모집인원 and 1 other fieldsHigh correlation
접수최대인원 is highly overall correlated with 모집인원 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 09:08:50.977421
Analysis finished2023-12-12 09:08:53.275441
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사명
Text

Distinct116
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:08:53.452003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length18.6291
Min length3

Characters and Unicode

Total characters186291
Distinct characters332
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)0.5%

Sample

1st row[상설전시관] 자유관람 단체
2nd row[상설전시관] 자유관람 단체
3rd row상설전시관 사전 예약(관람 당일 예약 불가)
4th row[상설전시관] 자유관람 단체
5th row[천체관측소] 주간관측 프로그램
ValueCountFrequency (%)
프로그램 3837
10.2%
자유관람 3741
9.9%
단체 3741
9.9%
천체관측소 3405
 
9.1%
주간관측 3285
 
8.7%
상설전시관 3056
 
8.1%
예약 2392
 
6.4%
새싹누리관 2233
 
5.9%
안내 2095
 
5.6%
해설프로그램 1262
 
3.4%
Other values (261) 8561
22.8%
2023-12-12T18:08:53.903725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31439
 
16.9%
관 16126
 
8.7%
[ 8839
 
4.7%
] 8839
 
4.7%
체 7643
 
4.1%
측 6810
 
3.7%
프 5320
 
2.9%
로 5143
 
2.8%
그 5127
 
2.8%
램 5107
 
2.7%
Other values (322) 85898
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133321
71.6%
Space Separator 31439
 
16.9%
Open Punctuation 9490
 
5.1%
Close Punctuation 9490
 
5.1%
Uppercase Letter 1341
 
0.7%
Decimal Number 584
 
0.3%
Dash Punctuation 336
 
0.2%
Other Punctuation 193
 
0.1%
Lowercase Letter 73
 
< 0.1%
Math Symbol 9
 
< 0.1%
Other values (3) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 16126
 
12.1%
체 7643
 
5.7%
측 6810
 
5.1%
프 5320
 
4.0%
로 5143
 
3.9%
그 5127
 
3.8%
램 5107
 
3.8%
주 4572
 
3.4%
설 4318
 
3.2%
유 4172
 
3.1%
Other values (258) 68983
51.7%
Lowercase Letter
ValueCountFrequency (%)
e 15
20.5%
i 9
12.3%
t 8
11.0%
c 7
9.6%
h 5
 
6.8%
n 4
 
5.5%
a 4
 
5.5%
l 4
 
5.5%
p 3
 
4.1%
x 3
 
4.1%
Other values (7) 11
15.1%
Uppercase Letter
ValueCountFrequency (%)
R 512
38.2%
C 418
31.2%
A 98
 
7.3%
E 98
 
7.3%
K 98
 
7.3%
M 96
 
7.2%
S 7
 
0.5%
F 4
 
0.3%
N 3
 
0.2%
I 2
 
0.1%
Other values (4) 5
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 168
28.8%
1 136
23.3%
0 92
15.8%
7 41
 
7.0%
8 36
 
6.2%
6 27
 
4.6%
5 24
 
4.1%
9 21
 
3.6%
3 20
 
3.4%
4 19
 
3.3%
Other Punctuation
ValueCountFrequency (%)
' 80
41.5%
: 35
18.1%
? 30
 
15.5%
/ 23
 
11.9%
. 17
 
8.8%
, 5
 
2.6%
@ 2
 
1.0%
& 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 5
55.6%
+ 2
 
22.2%
> 1
 
11.1%
< 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
[ 8839
93.1%
( 633
 
6.7%
「 18
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 8839
93.1%
) 633
 
6.7%
」 18
 
0.2%
Space Separator
ValueCountFrequency (%)
31439
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133321
71.6%
Common 51556
 
27.7%
Latin 1414
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 16126
 
12.1%
체 7643
 
5.7%
측 6810
 
5.1%
프 5320
 
4.0%
로 5143
 
3.9%
그 5127
 
3.8%
램 5107
 
3.8%
주 4572
 
3.4%
설 4318
 
3.2%
유 4172
 
3.1%
Other values (258) 68983
51.7%
Common
ValueCountFrequency (%)
31439
61.0%
[ 8839
 
17.1%
] 8839
 
17.1%
) 633
 
1.2%
( 633
 
1.2%
- 336
 
0.7%
2 168
 
0.3%
1 136
 
0.3%
0 92
 
0.2%
' 80
 
0.2%
Other values (23) 361
 
0.7%
Latin
ValueCountFrequency (%)
R 512
36.2%
C 418
29.6%
A 98
 
6.9%
E 98
 
6.9%
K 98
 
6.9%
M 96
 
6.8%
e 15
 
1.1%
i 9
 
0.6%
t 8
 
0.6%
S 7
 
0.5%
Other values (21) 55
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133321
71.6%
ASCII 52920
 
28.4%
None 36
 
< 0.1%
Punctuation 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31439
59.4%
[ 8839
 
16.7%
] 8839
 
16.7%
) 633
 
1.2%
( 633
 
1.2%
R 512
 
1.0%
C 418
 
0.8%
- 336
 
0.6%
2 168
 
0.3%
1 136
 
0.3%
Other values (50) 967
 
1.8%
Hangul
ValueCountFrequency (%)
관 16126
 
12.1%
체 7643
 
5.7%
측 6810
 
5.1%
프 5320
 
4.0%
로 5143
 
3.9%
그 5127
 
3.8%
램 5107
 
3.8%
주 4572
 
3.4%
설 4318
 
3.2%
유 4172
 
3.1%
Other values (258) 68983
51.7%
None
ValueCountFrequency (%)
」 18
50.0%
「 18
50.0%
Punctuation
ValueCountFrequency (%)
’ 7
50.0%
‘ 7
50.0%

접수일자
Date

Distinct1726
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-07 00:00:00
Maximum2022-11-19 00:00:00
2023-12-12T18:08:54.110038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:54.280054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회차명
Text

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:08:54.492882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length2.7836
Min length1

Characters and Unicode

Total characters27836
Distinct characters218
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

Unique61 ?
Unique (%)0.6%

Sample

1st row5회차
2nd row2회차
3rd row1
4th row5회차
5th row1회차
ValueCountFrequency (%)
회차 3468
33.1%
2회차 1312
 
12.5%
1회차 1306
 
12.5%
4회차 1108
 
10.6%
3회차 1082
 
10.3%
5회차 508
 
4.8%
6회차 250
 
2.4%
서킷 221
 
2.1%
자유 221
 
2.1%
이용 221
 
2.1%
Other values (108) 786
 
7.5%
2023-12-12T18:08:54.905841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 9052
32.5%
회 9047
32.5%
1 1586
 
5.7%
2 1539
 
5.5%
3 1265
 
4.5%
4 1121
 
4.0%
5 568
 
2.0%
501
 
1.8%
6 251
 
0.9%
0 235
 
0.8%
Other values (208) 2671
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20086
72.2%
Decimal Number 6796
 
24.4%
Space Separator 501
 
1.8%
Other Punctuation 121
 
0.4%
Open Punctuation 120
 
0.4%
Close Punctuation 120
 
0.4%
Lowercase Letter 67
 
0.2%
Uppercase Letter 19
 
0.1%
Connector Punctuation 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 9052
45.1%
회 9047
45.0%
유 229
 
1.1%
자 228
 
1.1%
이 227
 
1.1%
서 222
 
1.1%
용 221
 
1.1%
킷 221
 
1.1%
분 115
 
0.6%
기 17
 
0.1%
Other values (167) 507
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
o 14
20.9%
s 8
11.9%
r 8
11.9%
y 6
9.0%
t 6
9.0%
m 6
9.0%
n 4
 
6.0%
a 4
 
6.0%
e 3
 
4.5%
k 2
 
3.0%
Other values (5) 6
9.0%
Decimal Number
ValueCountFrequency (%)
1 1586
23.3%
2 1539
22.6%
3 1265
18.6%
4 1121
16.5%
5 568
 
8.4%
6 251
 
3.7%
0 235
 
3.5%
9 194
 
2.9%
8 36
 
0.5%
7 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
D 4
21.1%
L 4
21.1%
E 4
21.1%
C 2
10.5%
S 2
10.5%
K 1
 
5.3%
A 1
 
5.3%
M 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
: 116
95.9%
, 4
 
3.3%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20086
72.2%
Common 7664
 
27.5%
Latin 86
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 9052
45.1%
회 9047
45.0%
유 229
 
1.1%
자 228
 
1.1%
이 227
 
1.1%
서 222
 
1.1%
용 221
 
1.1%
킷 221
 
1.1%
분 115
 
0.6%
기 17
 
0.1%
Other values (167) 507
 
2.5%
Latin
ValueCountFrequency (%)
o 14
16.3%
s 8
 
9.3%
r 8
 
9.3%
y 6
 
7.0%
t 6
 
7.0%
m 6
 
7.0%
D 4
 
4.7%
L 4
 
4.7%
n 4
 
4.7%
a 4
 
4.7%
Other values (13) 22
25.6%
Common
ValueCountFrequency (%)
1 1586
20.7%
2 1539
20.1%
3 1265
16.5%
4 1121
14.6%
5 568
 
7.4%
501
 
6.5%
6 251
 
3.3%
0 235
 
3.1%
9 194
 
2.5%
( 120
 
1.6%
Other values (8) 284
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20086
72.2%
ASCII 7750
 
27.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 9052
45.1%
회 9047
45.0%
유 229
 
1.1%
자 228
 
1.1%
이 227
 
1.1%
서 222
 
1.1%
용 221
 
1.1%
킷 221
 
1.1%
분 115
 
0.6%
기 17
 
0.1%
Other values (167) 507
 
2.5%
ASCII
ValueCountFrequency (%)
1 1586
20.5%
2 1539
19.9%
3 1265
16.3%
4 1121
14.5%
5 568
 
7.3%
501
 
6.5%
6 251
 
3.2%
0 235
 
3.0%
9 194
 
2.5%
( 120
 
1.5%
Other values (31) 370
 
4.8%

모집인원
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.0734
Minimum0
Maximum500
Zeros78
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:08:55.120711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q120
median30
Q3200
95-th percentile500
Maximum500
Range500
Interquartile range (IQR)180

Descriptive statistics

Standard deviation169.62588
Coefficient of variation (CV)1.2746791
Kurtosis0.38804902
Mean133.0734
Median Absolute Deviation (MAD)24
Skewness1.3357175
Sum1330734
Variance28772.938
MonotonicityNot monotonic
2023-12-12T18:08:55.362106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 2823
28.2%
200 2121
21.2%
30 1585
15.8%
500 1487
14.9%
1 561
 
5.6%
100 411
 
4.1%
6 285
 
2.9%
15 143
 
1.4%
10 137
 
1.4%
7 99
 
1.0%
Other values (61) 348
 
3.5%
ValueCountFrequency (%)
0 78
 
0.8%
1 561
5.6%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 15
 
0.1%
6 285
2.9%
7 99
 
1.0%
8 59
 
0.6%
9 52
 
0.5%
10 137
 
1.4%
ValueCountFrequency (%)
500 1487
14.9%
255 1
 
< 0.1%
250 10
 
0.1%
200 2121
21.2%
197 1
 
< 0.1%
185 1
 
< 0.1%
175 1
 
< 0.1%
171 1
 
< 0.1%
170 2
 
< 0.1%
165 1
 
< 0.1%

접수최소인원
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0027
Minimum0
Maximum25
Zeros86
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:08:55.523891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q315
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)14

Descriptive statistics

Standard deviation7.9143766
Coefficient of variation (CV)1.1301893
Kurtosis-1.4476169
Mean7.0027
Median Absolute Deviation (MAD)0
Skewness0.63080356
Sum70027
Variance62.637356
MonotonicityNot monotonic
2023-12-12T18:08:55.659051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 6164
61.6%
15 2223
 
22.2%
20 1524
 
15.2%
0 86
 
0.9%
25 1
 
< 0.1%
2 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
0 86
 
0.9%
1 6164
61.6%
2 1
 
< 0.1%
11 1
 
< 0.1%
15 2223
 
22.2%
20 1524
 
15.2%
25 1
 
< 0.1%
ValueCountFrequency (%)
25 1
 
< 0.1%
20 1524
 
15.2%
15 2223
 
22.2%
11 1
 
< 0.1%
2 1
 
< 0.1%
1 6164
61.6%
0 86
 
0.9%

접수최대인원
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.0585
Minimum0
Maximum300
Zeros86
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:08:55.836762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q120
median30
Q3200
95-th percentile300
Maximum300
Range300
Interquartile range (IQR)180

Descriptive statistics

Standard deviation111.32646
Coefficient of variation (CV)1.1238456
Kurtosis-1.0786205
Mean99.0585
Median Absolute Deviation (MAD)28
Skewness0.7720691
Sum990585
Variance12393.58
MonotonicityNot monotonic
2023-12-12T18:08:55.992640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20 2744
27.4%
200 2093
20.9%
30 1566
15.7%
300 1487
14.9%
1 1159
11.6%
5 308
 
3.1%
100 132
 
1.3%
15 130
 
1.3%
10 118
 
1.2%
0 86
 
0.9%
Other values (29) 177
 
1.8%
ValueCountFrequency (%)
0 86
 
0.9%
1 1159
11.6%
2 53
 
0.5%
3 7
 
0.1%
4 40
 
0.4%
5 308
 
3.1%
8 13
 
0.1%
10 118
 
1.2%
11 2
 
< 0.1%
12 20
 
0.2%
ValueCountFrequency (%)
300 1487
14.9%
250 3
 
< 0.1%
200 2093
20.9%
185 1
 
< 0.1%
175 1
 
< 0.1%
170 2
 
< 0.1%
165 1
 
< 0.1%
162 1
 
< 0.1%
152 2
 
< 0.1%
148 1
 
< 0.1%

등록일
Date

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-07-05 00:00:00
Maximum2022-08-25 00:00:00
2023-12-12T18:08:56.138173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:56.340738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T18:08:52.574590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:51.731101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:52.120406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:52.713851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:51.852444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:52.285109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:52.844321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:51.985019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:08:52.428372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:08:56.453723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집인원접수최소인원접수최대인원
모집인원1.0000.8070.863
접수최소인원0.8071.0000.850
접수최대인원0.8630.8501.000
2023-12-12T18:08:56.545474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집인원접수최소인원접수최대인원
모집인원1.0000.8780.938
접수최소인원0.8781.0000.881
접수최대인원0.9380.8811.000

Missing values

2023-12-12T18:08:53.018068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:08:53.194963image/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

행사명접수일자회차명모집인원접수최소인원접수최대인원등록일
11528[상설전시관] 자유관람 단체2020-07-215회차500203002019-12-09
5998[상설전시관] 자유관람 단체2019-01-042회차500203002019-01-02
13179상설전시관 사전 예약(관람 당일 예약 불가)2020-05-231100152020-05-12
8565[상설전시관] 자유관람 단체2019-11-225회차500203002019-01-29
10629[천체관측소] 주간관측 프로그램2019-12-101회차201202019-11-19
7494[상설전시관] 주제가 있는 해설프로그램 예약 안내2019-06-111회차201202019-01-02
12375[새싹누리관] 자유관람 단체2020-06-264회차200152002020-01-10
13574[천체관측소] 주간관측 프로그램2019-08-224회차301302019-07-22
12044[새싹누리관] 자유관람 단체2020-05-261회차200152002020-01-10
12716[새싹누리관] 자유관람 단체2020-04-221회차200152002020-01-10
행사명접수일자회차명모집인원접수최소인원접수최대인원등록일
12265[상설전시관] 자유관람 단체2020-01-156회차500203002019-12-09
5224[새싹누리관] 자유관람 단체2018-12-27회차200152002018-07-05
502[새싹누리관] 자유관람 단체2016-04-07회차200152002018-07-05
16501[천체관측소] 주간관측 프로그램2020-10-092회차151152020-10-05
3902[천체관측소] 주간관측 프로그램2017-11-28회차201202018-07-05
11582[상설전시관] 자유관람 단체2020-06-035회차500203002019-12-09
2303[새싹누리관] 자유관람 단체2017-03-15회차200152002018-07-05
3594[새싹누리관] 자유관람 단체2018-05-02회차200152002018-07-05
13751[상설전시관] 주제가 있는 해설프로그램 예약 안내2019-08-282회차201202019-05-10
10320[천체관측소] 주간관측 프로그램2019-05-313회차201202019-04-18

Duplicate rows

Most frequently occurring

행사명접수일자회차명모집인원접수최소인원접수최대인원등록일# duplicates
19[새싹누리관] 자유관람 단체2016-03-04회차200152002018-07-054
21[새싹누리관] 자유관람 단체2016-03-10회차200152002018-07-054
27[새싹누리관] 자유관람 단체2016-03-23회차200152002018-07-054
29[새싹누리관] 자유관람 단체2016-03-25회차200152002018-07-054
33[새싹누리관] 자유관람 단체2016-04-01회차200152002018-07-054
38[새싹누리관] 자유관람 단체2016-04-12회차200152002018-07-054
42[새싹누리관] 자유관람 단체2016-04-20회차200152002018-07-054
44[새싹누리관] 자유관람 단체2016-04-22회차200152002018-07-054
48[새싹누리관] 자유관람 단체2016-05-04회차200152002018-07-054
53[새싹누리관] 자유관람 단체2016-05-17회차200152002018-07-054