Overview

Dataset statistics

Number of variables15
Number of observations185
Missing cells297
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.2 KiB
Average record size in memory122.7 B

Variable types

Numeric2
Categorical4
Text4
DateTime5

Dataset

Description국립부산과학관에서 진행한 행사에 대한 정보로 행사코드, 예약구분, 결제구분, 제목, 카테코리 구분, 행사시작일, 행사종료일, 행사시간, 장소, 대상, 접수시작일, 접수종료일, 문의, 내용, 등록일의 정보를 제공합니다.
Author국립부산과학관
URLhttps://www.data.go.kr/data/15070697/fileData.do

Alerts

대상 has a high cardinality: 51 distinct valuesHigh cardinality
행사코드 is highly overall correlated with 문의High correlation
카테고리 분류 is highly overall correlated with 예약구분 and 1 other fieldsHigh correlation
예약구분 is highly overall correlated with 카테고리 분류 and 3 other fieldsHigh correlation
결제구분 is highly overall correlated with 카테고리 분류 and 1 other fieldsHigh correlation
대상 is highly overall correlated with 예약구분 and 1 other fieldsHigh correlation
문의 is highly overall correlated with 행사코드 and 2 other fieldsHigh correlation
행사 시작일 has 6 (3.2%) missing valuesMissing
행사 종료일 has 6 (3.2%) missing valuesMissing
행사시간 has 31 (16.8%) missing valuesMissing
장소 has 13 (7.0%) missing valuesMissing
접수시작일 has 93 (50.3%) missing valuesMissing
접수종료일 has 94 (50.8%) missing valuesMissing
내용 has 54 (29.2%) missing valuesMissing
행사코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:10:48.716194
Analysis finished2023-12-12 06:10:51.158338
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3687.1027
Minimum2233
Maximum3838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T15:10:51.223541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2233
5-th percentile3583.2
Q13628
median3706
Q33765
95-th percentile3823.8
Maximum3838
Range1605
Interquartile range (IQR)137

Descriptive statistics

Standard deviation171.55632
Coefficient of variation (CV)0.046528761
Kurtosis54.610599
Mean3687.1027
Median Absolute Deviation (MAD)70
Skewness-6.597773
Sum682114
Variance29431.571
MonotonicityNot monotonic
2023-12-12T15:10:51.346939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3591 1
 
0.5%
3726 1
 
0.5%
3709 1
 
0.5%
3723 1
 
0.5%
3727 1
 
0.5%
3732 1
 
0.5%
3733 1
 
0.5%
3734 1
 
0.5%
3747 1
 
0.5%
3714 1
 
0.5%
Other values (175) 175
94.6%
ValueCountFrequency (%)
2233 1
0.5%
2238 1
0.5%
3541 1
0.5%
3550 1
0.5%
3572 1
0.5%
3573 1
0.5%
3580 1
0.5%
3581 1
0.5%
3582 1
0.5%
3583 1
0.5%
ValueCountFrequency (%)
3838 1
0.5%
3836 1
0.5%
3835 1
0.5%
3834 1
0.5%
3833 1
0.5%
3831 1
0.5%
3830 1
0.5%
3829 1
0.5%
3827 1
0.5%
3824 1
0.5%

예약구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
121 
P
58 
G
 
6

Length

Max length4
Median length4
Mean length2.9621622
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th rowP

Common Values

ValueCountFrequency (%)
<NA> 121
65.4%
P 58
31.4%
G 6
 
3.2%

Length

2023-12-12T15:10:51.475347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:10:51.571564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
65.4%
p 58
31.4%
g 6
 
3.2%

결제구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
D
74 
A
55 
C
33 
B
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowD
3rd rowC
4th rowD
5th rowA

Common Values

ValueCountFrequency (%)
D 74
40.0%
A 55
29.7%
C 33
17.8%
B 23
 
12.4%

Length

2023-12-12T15:10:51.677077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:10:51.774415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d 74
40.0%
a 55
29.7%
c 33
17.8%
b 23
 
12.4%

제목
Text

Distinct184
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T15:10:52.056864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length28
Mean length17.589189
Min length3

Characters and Unicode

Total characters3254
Distinct characters430
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)98.9%

Sample

1st row영화 더하기 과학
2nd row가상이 현실이 되다
3rd row토크콘서트 - 노벨상을 향한 가속기
4th row2016 기상기후 사진전
5th rowKITCHEN LAB
ValueCountFrequency (%)
32
 
4.8%
2019 10
 
1.5%
온라인 9
 
1.4%
교육 7
 
1.1%
이벤트 7
 
1.1%
아뜰리에 6
 
0.9%
학부모 6
 
0.9%
여름방학 5
 
0.8%
특별기획전 5
 
0.8%
안내 5
 
0.8%
Other values (435) 569
86.1%
2023-12-12T15:10:52.508183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
507
 
15.6%
학 75
 
2.3%
이 66
 
2.0%
기 55
 
1.7%
( 46
 
1.4%
) 46
 
1.4%
과 45
 
1.4%
아 43
 
1.3%
2 40
 
1.2%
교 37
 
1.1%
Other values (420) 2294
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2102
64.6%
Space Separator 507
 
15.6%
Decimal Number 152
 
4.7%
Uppercase Letter 143
 
4.4%
Lowercase Letter 103
 
3.2%
Other Punctuation 84
 
2.6%
Open Punctuation 66
 
2.0%
Close Punctuation 66
 
2.0%
Dash Punctuation 26
 
0.8%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 75
 
3.6%
이 66
 
3.1%
기 55
 
2.6%
과 45
 
2.1%
아 43
 
2.0%
교 37
 
1.8%
전 35
 
1.7%
스 34
 
1.6%
리 33
 
1.6%
사 29
 
1.4%
Other values (348) 1650
78.5%
Lowercase Letter
ValueCountFrequency (%)
a 14
13.6%
e 12
11.7%
l 9
 
8.7%
i 8
 
7.8%
n 7
 
6.8%
o 6
 
5.8%
h 6
 
5.8%
d 5
 
4.9%
c 4
 
3.9%
y 4
 
3.9%
Other values (12) 28
27.2%
Uppercase Letter
ValueCountFrequency (%)
S 16
 
11.2%
E 12
 
8.4%
L 10
 
7.0%
O 10
 
7.0%
A 10
 
7.0%
R 10
 
7.0%
N 9
 
6.3%
B 9
 
6.3%
T 8
 
5.6%
I 8
 
5.6%
Other values (11) 41
28.7%
Decimal Number
ValueCountFrequency (%)
2 40
26.3%
0 33
21.7%
1 27
17.8%
9 15
 
9.9%
8 11
 
7.2%
3 9
 
5.9%
4 5
 
3.3%
7 5
 
3.3%
5 4
 
2.6%
6 3
 
2.0%
Other Punctuation
ValueCountFrequency (%)
' 29
34.5%
: 16
19.0%
/ 15
17.9%
, 11
 
13.1%
& 3
 
3.6%
@ 3
 
3.6%
· 3
 
3.6%
! 3
 
3.6%
? 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
< 1
25.0%
> 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 46
69.7%
[ 20
30.3%
Close Punctuation
ValueCountFrequency (%)
) 46
69.7%
] 20
30.3%
Space Separator
ValueCountFrequency (%)
507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2097
64.4%
Common 906
27.8%
Latin 246
 
7.6%
Han 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 75
 
3.6%
이 66
 
3.1%
기 55
 
2.6%
과 45
 
2.1%
아 43
 
2.1%
교 37
 
1.8%
전 35
 
1.7%
스 34
 
1.6%
리 33
 
1.6%
사 29
 
1.4%
Other values (346) 1645
78.4%
Latin
ValueCountFrequency (%)
S 16
 
6.5%
a 14
 
5.7%
e 12
 
4.9%
E 12
 
4.9%
L 10
 
4.1%
O 10
 
4.1%
A 10
 
4.1%
R 10
 
4.1%
N 9
 
3.7%
B 9
 
3.7%
Other values (33) 134
54.5%
Common
ValueCountFrequency (%)
507
56.0%
( 46
 
5.1%
) 46
 
5.1%
2 40
 
4.4%
0 33
 
3.6%
' 29
 
3.2%
1 27
 
3.0%
- 26
 
2.9%
[ 20
 
2.2%
] 20
 
2.2%
Other values (19) 112
 
12.4%
Han
ValueCountFrequency (%)
展 4
80.0%
夜 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2097
64.4%
ASCII 1149
35.3%
CJK 5
 
0.2%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
507
44.1%
( 46
 
4.0%
) 46
 
4.0%
2 40
 
3.5%
0 33
 
2.9%
' 29
 
2.5%
1 27
 
2.3%
- 26
 
2.3%
[ 20
 
1.7%
] 20
 
1.7%
Other values (61) 355
30.9%
Hangul
ValueCountFrequency (%)
학 75
 
3.6%
이 66
 
3.1%
기 55
 
2.6%
과 45
 
2.1%
아 43
 
2.1%
교 37
 
1.8%
전 35
 
1.7%
스 34
 
1.6%
리 33
 
1.6%
사 29
 
1.4%
Other values (346) 1645
78.4%
CJK
ValueCountFrequency (%)
展 4
80.0%
夜 1
 
20.0%
None
ValueCountFrequency (%)
· 3
100.0%

카테고리 분류
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T15:10:52.632640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q37
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7130923
Coefficient of variation (CV)0.50242449
Kurtosis-0.90066251
Mean5.4
Median Absolute Deviation (MAD)2
Skewness0.3540358
Sum999
Variance7.3608696
MonotonicityNot monotonic
2023-12-12T15:10:52.736913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 69
37.3%
10 29
15.7%
7 21
 
11.4%
2 18
 
9.7%
6 17
 
9.2%
8 15
 
8.1%
1 11
 
5.9%
3 4
 
2.2%
5 1
 
0.5%
ValueCountFrequency (%)
1 11
 
5.9%
2 18
 
9.7%
3 4
 
2.2%
4 69
37.3%
5 1
 
0.5%
6 17
 
9.2%
7 21
 
11.4%
8 15
 
8.1%
10 29
15.7%
ValueCountFrequency (%)
10 29
15.7%
8 15
 
8.1%
7 21
 
11.4%
6 17
 
9.2%
5 1
 
0.5%
4 69
37.3%
3 4
 
2.2%
2 18
 
9.7%
1 11
 
5.9%

행사 시작일
Date

MISSING 

Distinct146
Distinct (%)81.6%
Missing6
Missing (%)3.2%
Memory size1.6 KiB
Minimum2015-12-11 00:00:00
Maximum2021-07-28 00:00:00
2023-12-12T15:10:52.888815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:53.063754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사 종료일
Date

MISSING 

Distinct128
Distinct (%)71.5%
Missing6
Missing (%)3.2%
Memory size1.6 KiB
Minimum2016-02-29 00:00:00
Maximum2021-12-31 00:00:00
2023-12-12T15:10:53.236618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:53.407202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사시간
Text

MISSING 

Distinct90
Distinct (%)58.4%
Missing31
Missing (%)16.8%
Memory size1.6 KiB
2023-12-12T15:10:53.703247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length11
Mean length13.246753
Min length3

Characters and Unicode

Total characters2040
Distinct characters68
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)48.7%

Sample

1st row개관시간과 동일
2nd row개관시간과 동일
3rd row토 15:00~16:30
4th row개관시간과 동일
5th row10:30 ~ 11:50 (80분간)
ValueCountFrequency (%)
30
 
11.0%
09:30~17:30 26
 
9.5%
14:00~17:00 11
 
4.0%
동일 10
 
3.7%
10:00~17:00 10
 
3.7%
개관시간과 9
 
3.3%
14:00 6
 
2.2%
14:00~15:00 5
 
1.8%
2회차 4
 
1.5%
16:00 4
 
1.5%
Other values (125) 158
57.9%
2023-12-12T15:10:54.129435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 522
25.6%
1 291
14.3%
: 287
14.1%
126
 
6.2%
3 123
 
6.0%
~ 119
 
5.8%
7 64
 
3.1%
4 61
 
3.0%
2 49
 
2.4%
9 44
 
2.2%
Other values (58) 354
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1225
60.0%
Other Punctuation 338
 
16.6%
Other Letter 197
 
9.7%
Space Separator 126
 
6.2%
Math Symbol 119
 
5.8%
Dash Punctuation 21
 
1.0%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
15.2%
회 18
 
9.1%
일 16
 
8.1%
차 14
 
7.1%
간 12
 
6.1%
동 10
 
5.1%
개 10
 
5.1%
관 10
 
5.1%
과 10
 
5.1%
영 4
 
2.0%
Other values (39) 63
32.0%
Decimal Number
ValueCountFrequency (%)
0 522
42.6%
1 291
23.8%
3 123
 
10.0%
7 64
 
5.2%
4 61
 
5.0%
2 49
 
4.0%
9 44
 
3.6%
5 38
 
3.1%
6 24
 
2.0%
8 9
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 287
84.9%
, 29
 
8.6%
/ 20
 
5.9%
. 2
 
0.6%
Space Separator
ValueCountFrequency (%)
126
100.0%
Math Symbol
ValueCountFrequency (%)
~ 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1843
90.3%
Hangul 197
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
15.2%
회 18
 
9.1%
일 16
 
8.1%
차 14
 
7.1%
간 12
 
6.1%
동 10
 
5.1%
개 10
 
5.1%
관 10
 
5.1%
과 10
 
5.1%
영 4
 
2.0%
Other values (39) 63
32.0%
Common
ValueCountFrequency (%)
0 522
28.3%
1 291
15.8%
: 287
15.6%
126
 
6.8%
3 123
 
6.7%
~ 119
 
6.5%
7 64
 
3.5%
4 61
 
3.3%
2 49
 
2.7%
9 44
 
2.4%
Other values (9) 157
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1843
90.3%
Hangul 197
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 522
28.3%
1 291
15.8%
: 287
15.6%
126
 
6.8%
3 123
 
6.7%
~ 119
 
6.5%
7 64
 
3.5%
4 61
 
3.3%
2 49
 
2.7%
9 44
 
2.4%
Other values (9) 157
 
8.5%
Hangul
ValueCountFrequency (%)
시 30
15.2%
회 18
 
9.1%
일 16
 
8.1%
차 14
 
7.1%
간 12
 
6.1%
동 10
 
5.1%
개 10
 
5.1%
관 10
 
5.1%
과 10
 
5.1%
영 4
 
2.0%
Other values (39) 63
32.0%

장소
Text

MISSING 

Distinct87
Distinct (%)50.6%
Missing13
Missing (%)7.0%
Memory size1.6 KiB
2023-12-12T15:10:54.379379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length9.4011628
Min length2

Characters and Unicode

Total characters1617
Distinct characters162
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)38.4%

Sample

1st row김진재홀(기획전시실)
2nd row1층 소전시실
3rd row천체투영관
4th row1층 중앙홀 및 2층 로비
5th row3층 교육장 Lab1
ValueCountFrequency (%)
1층 76
20.2%
3층 31
 
8.2%
국립부산과학관 25
 
6.6%
대회의실 22
 
5.9%
중회의실 16
 
4.3%
김진재홀 12
 
3.2%
소전시실 11
 
2.9%
천체투영관 9
 
2.4%
멀티미디어실 9
 
2.4%
및 8
 
2.1%
Other values (85) 157
41.8%
2023-12-12T15:10:54.805603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
13.6%
층 118
 
7.3%
1 87
 
5.4%
실 73
 
4.5%
관 50
 
3.1%
회 47
 
2.9%
의 46
 
2.8%
3 31
 
1.9%
산 30
 
1.9%
대 29
 
1.8%
Other values (152) 886
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1131
69.9%
Space Separator 220
 
13.6%
Decimal Number 134
 
8.3%
Lowercase Letter 52
 
3.2%
Uppercase Letter 25
 
1.5%
Other Punctuation 22
 
1.4%
Close Punctuation 16
 
1.0%
Open Punctuation 16
 
1.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 118
 
10.4%
실 73
 
6.5%
관 50
 
4.4%
회 47
 
4.2%
의 46
 
4.1%
산 30
 
2.7%
대 29
 
2.6%
과 28
 
2.5%
학 28
 
2.5%
중 26
 
2.3%
Other values (109) 656
58.0%
Lowercase Letter
ValueCountFrequency (%)
s 8
15.4%
t 5
9.6%
u 5
9.6%
w 4
 
7.7%
a 4
 
7.7%
i 4
 
7.7%
o 4
 
7.7%
l 3
 
5.8%
d 3
 
5.8%
p 2
 
3.8%
Other values (7) 10
19.2%
Uppercase Letter
ValueCountFrequency (%)
O 6
24.0%
A 5
20.0%
B 3
12.0%
Z 3
12.0%
M 3
12.0%
L 2
 
8.0%
S 1
 
4.0%
F 1
 
4.0%
C 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 87
64.9%
3 31
 
23.1%
2 7
 
5.2%
4 3
 
2.2%
0 2
 
1.5%
8 2
 
1.5%
9 1
 
0.7%
6 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 11
50.0%
, 7
31.8%
. 2
 
9.1%
& 1
 
4.5%
: 1
 
4.5%
Space Separator
ValueCountFrequency (%)
220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1131
69.9%
Common 409
 
25.3%
Latin 77
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 118
 
10.4%
실 73
 
6.5%
관 50
 
4.4%
회 47
 
4.2%
의 46
 
4.1%
산 30
 
2.7%
대 29
 
2.6%
과 28
 
2.5%
학 28
 
2.5%
중 26
 
2.3%
Other values (109) 656
58.0%
Latin
ValueCountFrequency (%)
s 8
 
10.4%
O 6
 
7.8%
t 5
 
6.5%
u 5
 
6.5%
A 5
 
6.5%
w 4
 
5.2%
a 4
 
5.2%
i 4
 
5.2%
o 4
 
5.2%
B 3
 
3.9%
Other values (16) 29
37.7%
Common
ValueCountFrequency (%)
220
53.8%
1 87
 
21.3%
3 31
 
7.6%
) 16
 
3.9%
( 16
 
3.9%
/ 11
 
2.7%
2 7
 
1.7%
, 7
 
1.7%
4 3
 
0.7%
. 2
 
0.5%
Other values (7) 9
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1131
69.9%
ASCII 486
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
45.3%
1 87
 
17.9%
3 31
 
6.4%
) 16
 
3.3%
( 16
 
3.3%
/ 11
 
2.3%
s 8
 
1.6%
2 7
 
1.4%
, 7
 
1.4%
O 6
 
1.2%
Other values (33) 77
 
15.8%
Hangul
ValueCountFrequency (%)
층 118
 
10.4%
실 73
 
6.5%
관 50
 
4.4%
회 47
 
4.2%
의 46
 
4.1%
산 30
 
2.7%
대 29
 
2.6%
과 28
 
2.5%
학 28
 
2.5%
중 26
 
2.3%
Other values (109) 656
58.0%

대상
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct51
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
누구나
81 
성인 누구나
14 
<NA>
13 
학부모
11 
누구나
 
5
Other values (46)
61 

Length

Max length34
Median length3
Mean length6.0378378
Min length3

Unique

Unique35 ?
Unique (%)18.9%

Sample

1st row누구나
2nd row누구나
3rd row누구나
4th row청소년 및 일반시민
5th row학부모

Common Values

ValueCountFrequency (%)
누구나 81
43.8%
성인 누구나 14
 
7.6%
<NA> 13
 
7.0%
학부모 11
 
5.9%
누구나 5
 
2.7%
초등생 이상 포함 가족 3
 
1.6%
상세내용참조 3
 
1.6%
성인(19세이상) 3
 
1.6%
초등학생 이상 3
 
1.6%
7세~중등 2
 
1.1%
Other values (41) 47
25.4%

Length

2023-12-12T15:10:54.990278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
누구나 106
34.4%
성인 19
 
6.2%
학부모 15
 
4.9%
na 13
 
4.2%
이상 13
 
4.2%
및 7
 
2.3%
단체 5
 
1.6%
5
 
1.6%
초등학생 4
 
1.3%
유아 4
 
1.3%
Other values (77) 117
38.0%

접수시작일
Date

MISSING 

Distinct63
Distinct (%)68.5%
Missing93
Missing (%)50.3%
Memory size1.6 KiB
Minimum2015-12-31 00:00:00
Maximum2021-08-03 10:00:00
2023-12-12T15:10:55.161357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:55.339529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수종료일
Date

MISSING 

Distinct80
Distinct (%)87.9%
Missing94
Missing (%)50.8%
Memory size1.6 KiB
Minimum2018-06-29 00:00:00
Maximum2021-12-31 23:59:00
2023-12-12T15:10:55.520378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:55.669961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

문의
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
051-750-2300
101 
<NA>
41 
051-750-2346
13 
051)750-2300
 
4
051-750-2441
 
3
Other values (18)
23 

Length

Max length47
Median length12
Mean length11.281081
Min length4

Unique

Unique13 ?
Unique (%)7.0%

Sample

1st row051-750-2300
2nd row051-750-2300
3rd row051-750-2300
4th row051-750-2300
5th row<NA>

Common Values

ValueCountFrequency (%)
051-750-2300 101
54.6%
<NA> 41
22.2%
051-750-2346 13
 
7.0%
051)750-2300 4
 
2.2%
051-750-2441 3
 
1.6%
051-750-2325 2
 
1.1%
051.750.2346 2
 
1.1%
051-750-2345 2
 
1.1%
1422-23(무료) / 051-750-2300 2
 
1.1%
e-mail : astro.obs@sciport.or.kr 2
 
1.1%
Other values (13) 13
 
7.0%

Length

2023-12-12T15:10:55.822240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-750-2300 103
50.2%
na 41
 
20.0%
051-750-2346 13
 
6.3%
7
 
3.4%
051)750-2300 4
 
2.0%
051-750-2441 4
 
2.0%
e-mail 4
 
2.0%
051-750-2325 3
 
1.5%
1422-23(무료 3
 
1.5%
astro.obs@sciport.or.kr 2
 
1.0%
Other values (17) 21
 
10.2%

내용
Text

MISSING 

Distinct131
Distinct (%)100.0%
Missing54
Missing (%)29.2%
Memory size1.6 KiB
2023-12-12T15:10:56.223304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length400
Median length114
Mean length101.23664
Min length11

Characters and Unicode

Total characters13262
Distinct characters575
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st row국립부산과학관 개관 1주년 기념 특별기획전. 영화더히기과학. 2016.12.23 ~ 2017.04.02국립부산과학관. 주최/주관 : 국립부산과학관. 후원 : 영화의 전당
2nd row국립부산과학관 특별체험전. 가상(Virtual)이 현실(Reality)이 되다. 2016.06.17~09.25. 1층 중앙홀(상시무료체험). 주관ㆍ주최 : 국립부산과학관. 후원 : 기아자동차
3rd row토크콘서트. 노벨상을 향한 가속기. 2018.6.30(토) 15:00 ~ 16:30. 국립부산과학관 천체투영관. 입장료:무료(국립부산과학관 홈페이지 사전접수). 대상:누구나. 일정:[시간:15:00~15:30, 내용:영상상영(Phantom of Universe)], [시간:15:30~16:00, 내용:특강, 비고:중이온가속기이용자협회장(호서대학교 문창범 교수)], [시간:16:00~16:30, 내용:과학자와의 대화, 비고:중이온가속기이용자협회장(호서대학교 문창범 교수)]. 사회자:기초과학연구원 라온활용협력센터장 권영관. 주관:과학기술정보통신부(국제과학비즈니스벨트조성추진단), 국립부산과학관, 기초과학연구원(라온활용협력센터), 중이온가속기이용자협회
4th row2016 기상/기후 사진전. 비와 바람 그리고 햇빛. 일시:2016.03.18(금)~27일(일)/총10일, 장소:1층 중앙로비 및 2층 로비, 대상:청소년 및 일반시민. 주최:부산지방기상청. 공동주관:국립부산과학관, 부산지방기상청. 전시내용:2016년 기상기후 사진전 입상작30점/과거 기상기후 사진전 우수작 23점/제5회 생기발랄 공모전 우수작 8점
5th rowKITCHEN LAB. 홈페이지 접수. 일시:2018.8.24(금) 10:30 ~ 11:50(80분간). 장소:3층 교육장 LAB1. 대상:학부모. 참가비:1만원
ValueCountFrequency (%)
국립부산과학관 101
 
4.5%
51
 
2.2%
1층 36
 
1.6%
2019 24
 
1.1%
science 23
 
1.0%
대회의실 16
 
0.7%
및 16
 
0.7%
event 15
 
0.7%
장소 14
 
0.6%
메이커 14
 
0.6%
Other values (1348) 1958
86.3%
2023-12-12T15:10:57.273497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2154
 
16.2%
0 525
 
4.0%
1 504
 
3.8%
. 380
 
2.9%
2 290
 
2.2%
: 248
 
1.9%
학 246
 
1.9%
과 197
 
1.5%
부 187
 
1.4%
관 176
 
1.3%
Other values (565) 8355
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6583
49.6%
Space Separator 2154
 
16.2%
Decimal Number 1882
 
14.2%
Lowercase Letter 862
 
6.5%
Other Punctuation 821
 
6.2%
Uppercase Letter 436
 
3.3%
Open Punctuation 185
 
1.4%
Close Punctuation 183
 
1.4%
Math Symbol 107
 
0.8%
Dash Punctuation 46
 
0.3%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 246
 
3.7%
과 197
 
3.0%
부 187
 
2.8%
관 176
 
2.7%
산 165
 
2.5%
이 143
 
2.2%
국 142
 
2.2%
립 140
 
2.1%
기 136
 
2.1%
일 119
 
1.8%
Other values (479) 4932
74.9%
Uppercase Letter
ValueCountFrequency (%)
E 58
13.3%
S 47
10.8%
A 42
 
9.6%
N 36
 
8.3%
I 34
 
7.8%
C 29
 
6.7%
L 21
 
4.8%
B 19
 
4.4%
D 17
 
3.9%
T 17
 
3.9%
Other values (16) 116
26.6%
Lowercase Letter
ValueCountFrequency (%)
e 129
15.0%
i 90
10.4%
c 74
8.6%
t 67
 
7.8%
a 61
 
7.1%
r 57
 
6.6%
n 57
 
6.6%
s 55
 
6.4%
o 50
 
5.8%
l 45
 
5.2%
Other values (14) 177
20.5%
Other Punctuation
ValueCountFrequency (%)
. 380
46.3%
: 248
30.2%
, 83
 
10.1%
! 36
 
4.4%
/ 36
 
4.4%
' 11
 
1.3%
* 6
 
0.7%
? 6
 
0.7%
@ 5
 
0.6%
# 4
 
0.5%
Other values (3) 6
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 525
27.9%
1 504
26.8%
2 290
15.4%
3 124
 
6.6%
9 101
 
5.4%
4 86
 
4.6%
8 77
 
4.1%
5 61
 
3.2%
7 59
 
3.1%
6 55
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 89
83.2%
< 6
 
5.6%
> 6
 
5.6%
+ 5
 
4.7%
| 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 175
94.6%
[ 10
 
5.4%
Close Punctuation
ValueCountFrequency (%)
) 173
94.5%
] 10
 
5.5%
Space Separator
ValueCountFrequency (%)
2154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
♥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6581
49.6%
Common 5381
40.6%
Latin 1298
 
9.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 246
 
3.7%
과 197
 
3.0%
부 187
 
2.8%
관 176
 
2.7%
산 165
 
2.5%
이 143
 
2.2%
국 142
 
2.2%
립 140
 
2.1%
기 136
 
2.1%
일 119
 
1.8%
Other values (478) 4930
74.9%
Latin
ValueCountFrequency (%)
e 129
 
9.9%
i 90
 
6.9%
c 74
 
5.7%
t 67
 
5.2%
a 61
 
4.7%
E 58
 
4.5%
r 57
 
4.4%
n 57
 
4.4%
s 55
 
4.2%
o 50
 
3.9%
Other values (40) 600
46.2%
Common
ValueCountFrequency (%)
2154
40.0%
0 525
 
9.8%
1 504
 
9.4%
. 380
 
7.1%
2 290
 
5.4%
: 248
 
4.6%
( 175
 
3.3%
) 173
 
3.2%
3 124
 
2.3%
9 101
 
1.9%
Other values (26) 707
 
13.1%
Han
ValueCountFrequency (%)
夜 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6677
50.3%
Hangul 6576
49.6%
Compat Jamo 5
 
< 0.1%
CJK 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2154
32.3%
0 525
 
7.9%
1 504
 
7.5%
. 380
 
5.7%
2 290
 
4.3%
: 248
 
3.7%
( 175
 
2.6%
) 173
 
2.6%
e 129
 
1.9%
3 124
 
1.9%
Other values (74) 1975
29.6%
Hangul
ValueCountFrequency (%)
학 246
 
3.7%
과 197
 
3.0%
부 187
 
2.8%
관 176
 
2.7%
산 165
 
2.5%
이 143
 
2.2%
국 142
 
2.2%
립 140
 
2.1%
기 136
 
2.1%
일 119
 
1.8%
Other values (477) 4925
74.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
夜 2
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

등록일
Date

Distinct177
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-07-05 16:27:32
Maximum2021-07-27 14:42:32
2023-12-12T15:10:57.436200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:57.595519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T15:10:50.505030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:50.043135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:50.589066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:50.138150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:10:57.706464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사코드예약구분결제구분카테고리 분류행사시간장소대상접수시작일접수종료일문의
행사코드1.0000.2200.1560.7050.9480.9420.8990.6521.0000.885
예약구분0.2201.0000.9130.8431.0000.7290.9311.0000.0000.993
결제구분0.1560.9131.0000.7160.8610.8530.8250.9580.7010.601
카테고리 분류0.7050.8430.7161.0000.9010.9740.8131.0000.9920.763
행사시간0.9481.0000.8610.9011.0000.9480.9790.9980.5060.950
장소0.9420.7290.8530.9740.9481.0000.9890.9880.8740.964
대상0.8990.9310.8250.8130.9790.9891.0000.9760.9560.970
접수시작일0.6521.0000.9581.0000.9980.9880.9761.0000.9650.993
접수종료일1.0000.0000.7010.9920.5060.8740.9560.9651.0000.962
문의0.8850.9930.6010.7630.9500.9640.9700.9930.9621.000
2023-12-12T15:10:57.875645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상예약구분문의결제구분
대상1.0000.7040.6500.486
예약구분0.7041.0000.7780.721
문의0.6500.7781.0000.340
결제구분0.4860.7210.3401.000
2023-12-12T15:10:58.001079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사코드카테고리 분류예약구분결제구분대상문의
행사코드1.0000.0850.1880.1120.4540.587
카테고리 분류0.0851.0000.6290.5450.3910.416
예약구분0.1880.6291.0000.7210.7040.778
결제구분0.1120.5450.7211.0000.4860.340
대상0.4540.3910.7040.4861.0000.650
문의0.5870.4160.7780.3400.6501.000

Missing values

2023-12-12T15:10:50.723477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:10:50.900823image/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.
2023-12-12T15:10:51.046136image/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

행사코드예약구분결제구분제목카테고리 분류행사 시작일행사 종료일행사시간장소대상접수시작일접수종료일문의내용등록일
03591<NA>B영화 더하기 과학12016-12-232017-05-21개관시간과 동일김진재홀(기획전시실)누구나NaTNaT051-750-2300국립부산과학관 개관 1주년 기념 특별기획전. 영화더히기과학. 2016.12.23 ~ 2017.04.02국립부산과학관. 주최/주관 : 국립부산과학관. 후원 : 영화의 전당2018-07-26 13:36:41
13592<NA>D가상이 현실이 되다22016-06-172016-09-25개관시간과 동일1층 소전시실누구나NaTNaT051-750-2300국립부산과학관 특별체험전. 가상(Virtual)이 현실(Reality)이 되다. 2016.06.17~09.25. 1층 중앙홀(상시무료체험). 주관ㆍ주최 : 국립부산과학관. 후원 : 기아자동차2018-07-26 14:01:22
23594<NA>C토크콘서트 - 노벨상을 향한 가속기72018-06-302018-06-30토 15:00~16:30천체투영관누구나2018-06-252018-06-29 00:00:00051-750-2300토크콘서트. 노벨상을 향한 가속기. 2018.6.30(토) 15:00 ~ 16:30. 국립부산과학관 천체투영관. 입장료:무료(국립부산과학관 홈페이지 사전접수). 대상:누구나. 일정:[시간:15:00~15:30, 내용:영상상영(Phantom of Universe)], [시간:15:30~16:00, 내용:특강, 비고:중이온가속기이용자협회장(호서대학교 문창범 교수)], [시간:16:00~16:30, 내용:과학자와의 대화, 비고:중이온가속기이용자협회장(호서대학교 문창범 교수)]. 사회자:기초과학연구원 라온활용협력센터장 권영관. 주관:과학기술정보통신부(국제과학비즈니스벨트조성추진단), 국립부산과학관, 기초과학연구원(라온활용협력센터), 중이온가속기이용자협회2018-07-26 14:32:11
33599<NA>D2016 기상기후 사진전22016-03-182018-04-03개관시간과 동일1층 중앙홀 및 2층 로비청소년 및 일반시민NaTNaT051-750-23002016 기상/기후 사진전. 비와 바람 그리고 햇빛. 일시:2016.03.18(금)~27일(일)/총10일, 장소:1층 중앙로비 및 2층 로비, 대상:청소년 및 일반시민. 주최:부산지방기상청. 공동주관:국립부산과학관, 부산지방기상청. 전시내용:2016년 기상기후 사진전 입상작30점/과거 기상기후 사진전 우수작 23점/제5회 생기발랄 공모전 우수작 8점2018-08-08 09:00:42
43604PAKITCHEN LAB102018-08-242018-08-2410:30 ~ 11:50 (80분간)3층 교육장 Lab1학부모2018-08-222018-08-23 23:59:00<NA>KITCHEN LAB. 홈페이지 접수. 일시:2018.8.24(금) 10:30 ~ 11:50(80분간). 장소:3층 교육장 LAB1. 대상:학부모. 참가비:1만원2018-08-22 17:34:22
52233PA[천체관측소] 주간관측 프로그램 안내32021-01-192021-12-311회 - 11:00 ~ 11:40, 2회 - 13:00 ~ 13:40, 3회 - 14:00 ~ 14:40, 4회 - 15:00 ~ 15:40국립부산과학관 4층 천체관측소초등학생 이상2015-12-312021-12-31 00:00:00e-mail : astro.obs@sciport.or.kr주간관측 프로그램안내 이미지입니다. 상세보기 버튼을 눌러서 내용 확인 가능2018-07-05 16:27:32
63762<NA>C나비야, 나비야22020-05-062020-08-3009:30~17:301층 소전시실누구나NaTNaT<NA><NA>2020-05-07 09:05:43
73584PD夜 오늘 한번 놀아보자!42018-08-042018-08-0413:30 ~ 21:30국립부산과학관 정문광장 및 천체투영관 앞 마당누구나NaTNaT051-750-23002018 국립부산과학관 여름 야간행사. 국립부산과학관, 부산문화재단. 夜! 오늘 한번 놀아보자. 2018.8.4(토) 13:30 ~ 21:30. 국립부산과학관 정문광장 및 천체투영관 앞마당. 체험행사:만들기체험(유료) 13:30~18:30. 공연:이동형무대차량[달리는 부산문화] 19:00~20:00. 미디어파사드:참여작가:김영탁, 김기석 20:00 ~ 20:30. 천체관측:별자리 및 행성 관측:20:30 ~ 21:30. 부대행사:푸트트럭/플리마켓 13:30 ~ 20:00. 프로그램은 변경될 수 있음2018-07-18 09:53:15
82238GB[새싹누리관] 자유관람 단체32021-07-012021-12-311회차 10:00, 2회차 12:00, 3회차 14:00, 4회차 16:00새싹누리관(1층)15명 이상 유아 단체(유치원/어린이집 등)2021-07-012021-12-31 23:59:001422-23(무료) / 051-750-2325[새싹누리관] 단체(15인이상) 예약 안내 이미지입니다. 상세보기 버튼을 눌러서 내용 확인 가능2018-07-05 16:27:32
93541PD[꿈나래동산] 미니물로켓발사42018-04-072018-06-30주말 및 공휴일꿈나래동산누구나2018-04-072018-06-29 00:00:00051-750-2300미니물로켓발사[무료체험]. 일자:주말 및 공휴일. 신청 및 만들기:1층 식당 옆 꿈나래 동산. 준비물:600ml 사이다 페트병 지참. 체험비무료(회차당 20명 선착순). (우천시 '에어로켓 만들기 & 발사' 대체 운영). 나만의 미니물로켓!! 시원하게! 과학의 항구에서 여러분의 꿈을 담아 하늘끝까지 발사해봐요! 숨겨진 과학의 원리를 찾아라!! 1회 10:30, 2회 12:30, 3회 13:30, 4회 14:30, 5회 15:30. 국립부산과학관2018-07-05 16:27:32
행사코드예약구분결제구분제목카테고리 분류행사 시작일행사 종료일행사시간장소대상접수시작일접수종료일문의내용등록일
1753829PA가족메이킹체험 : 뚝딱뚝딱 골드버그 [온라인체험](3차예약)42021-05-142021-05-21<NA>온라인체험가족단위 누구나2021-05-14 12:00:002021-05-20 23:59:00<NA><NA>2021-05-13 15:32:09
1763830<NA>B국립과학관법인 공동특별전 'HELLO ROBOT'12021-06-222021-08-29<NA>1층 김진재홀<NA>NaTNaT<NA><NA>2021-05-27 11:26:29
1773838PD카카오톡 친구 추가 이벤트_플친하면 카메라 드림62021-07-282021-08-0324시간온라인누구나NaTNaT<NA><NA>2021-07-27 14:42:32
1783803PC학부모 대상 전시연계 교육 : 키친랩 '오징어해부'편102021-01-222021-03-24<NA><NA>유아 또는 초등학교 자녀를 둔 학부모2021-01-22 00:00:002021-03-24 00:00:00<NA><NA>2021-01-21 14:49:17
1793811<NA>D[특별기획전] 독도의 사계展12021-01-152021-03-28<NA>1층 김진재홀<NA>NaTNaT<NA><NA>2021-02-08 17:53:59
1803820PA[천체관측소] 야간관측 프로그램 안내32021-04-102021-12-25세부안내문 참조천체투영관 및 천체관측소초등학생 이상2021-03-30 00:00:002021-12-25 00:00:00e-mail : astro.obs@sciport.or.kr<NA>2021-03-29 17:12:41
1813827PA가족메이킹체험: 뚝딱뚝딱 골드버그 [오프라인체험]42021-05-052021-05-05<NA>1층 꿈나래동산<NA>2021-05-01 10:00:002021-05-04 17:00:00<NA><NA>2021-04-29 11:23:39
1823834PA부캐의 발견 - MAKER(8월 - 온라인)42021-07-262021-08-1109:30~17:30온라인누구나2021-08-02 00:00:002021-08-11 00:00:001422-23(무료)/051-750-2300<NA>2021-07-26 11:06:33
1833835PA부캐의 발견 - MAKER(8월 - 오프라인)42021-07-262021-08-13<NA>1층 꿈나래동산<NA>2021-08-03 10:00:002021-08-06 17:00:00<NA><NA>2021-07-26 11:25:06
1843784<NA>A학부모 대상 온라인 키친랩-눈가리고 아웅102020-11-062020-11-06<NA>온라인 교육학부모2020-10-30 14:00:002020-11-05 14:00:00<NA><NA>2020-10-27 17:05:12