Overview

Dataset statistics

Number of variables14
Number of observations261
Missing cells428
Missing cells (%)11.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.2 KiB
Average record size in memory114.5 B

Variable types

Numeric2
Categorical2
Text5
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

행사코드 is highly overall correlated with 문의High correlation
문의 is highly overall correlated with 행사코드High correlation
행사 시작일 has 7 (2.7%) missing valuesMissing
행사 종료일 has 7 (2.7%) missing valuesMissing
행사시간 has 35 (13.4%) missing valuesMissing
장소 has 13 (5.0%) missing valuesMissing
대상 has 12 (4.6%) missing valuesMissing
접수시작일 has 113 (43.3%) missing valuesMissing
접수종료일 has 115 (44.1%) missing valuesMissing
내용 has 126 (48.3%) missing valuesMissing
행사코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:10:59.682733
Analysis finished2023-12-12 06:11:01.537458
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct261
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3742.1877
Minimum2233
Maximum3915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T15:11:01.615127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2233
5-th percentile3587
Q13661
median3752
Q33848
95-th percentile3901
Maximum3915
Range1682
Interquartile range (IQR)187

Descriptive statistics

Standard deviation168.48844
Coefficient of variation (CV)0.045024047
Kurtosis47.563546
Mean3742.1877
Median Absolute Deviation (MAD)94
Skewness-5.5027579
Sum976711
Variance28388.353
MonotonicityNot monotonic
2023-12-12T15:11:01.784890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3591 1
 
0.4%
3787 1
 
0.4%
3793 1
 
0.4%
3807 1
 
0.4%
3813 1
 
0.4%
3817 1
 
0.4%
3819 1
 
0.4%
3774 1
 
0.4%
3809 1
 
0.4%
3816 1
 
0.4%
Other values (251) 251
96.2%
ValueCountFrequency (%)
2233 1
0.4%
2238 1
0.4%
3541 1
0.4%
3550 1
0.4%
3572 1
0.4%
3573 1
0.4%
3580 1
0.4%
3581 1
0.4%
3582 1
0.4%
3583 1
0.4%
ValueCountFrequency (%)
3915 1
0.4%
3913 1
0.4%
3912 1
0.4%
3911 1
0.4%
3910 1
0.4%
3909 1
0.4%
3908 1
0.4%
3907 1
0.4%
3906 1
0.4%
3905 1
0.4%

결제구분
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
A
94 
D
92 
C
50 
B
25 

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 (%)
A 94
36.0%
D 92
35.2%
C 50
19.2%
B 25
 
9.6%

Length

2023-12-12T15:11:01.928442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:11:02.027019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 94
36.0%
d 92
35.2%
c 50
19.2%
b 25
 
9.6%

제목
Text

Distinct260
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T15:11:02.335431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length19.501916
Min length3

Characters and Unicode

Total characters5090
Distinct characters467
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)99.2%

Sample

1st row영화 더하기 과학
2nd row가상이 현실이 되다
3rd row토크콘서트 - 노벨상을 향한 가속기
4th row2016 기상기후 사진전
5th rowKITCHEN LAB
ValueCountFrequency (%)
71
 
6.7%
온라인 23
 
2.2%
부캐의 16
 
1.5%
오프라인 15
 
1.4%
메이커 13
 
1.2%
발견 12
 
1.1%
특별기획전 10
 
0.9%
특별강연 10
 
0.9%
2019 10
 
0.9%
헬로메이커 9
 
0.9%
Other values (580) 869
82.1%
2023-12-12T15:11:02.960168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
840
 
16.5%
이 130
 
2.6%
학 98
 
1.9%
( 89
 
1.7%
) 89
 
1.7%
2 81
 
1.6%
기 76
 
1.5%
인 68
 
1.3%
라 68
 
1.3%
- 65
 
1.3%
Other values (457) 3486
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3223
63.3%
Space Separator 840
 
16.5%
Decimal Number 246
 
4.8%
Uppercase Letter 206
 
4.0%
Other Punctuation 136
 
2.7%
Lowercase Letter 120
 
2.4%
Open Punctuation 118
 
2.3%
Close Punctuation 118
 
2.3%
Dash Punctuation 65
 
1.3%
Math Symbol 6
 
0.1%
Other values (3) 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 130
 
4.0%
학 98
 
3.0%
기 76
 
2.4%
인 68
 
2.1%
라 68
 
2.1%
과 57
 
1.8%
아 50
 
1.6%
전 50
 
1.6%
의 45
 
1.4%
로 44
 
1.4%
Other values (377) 2537
78.7%
Lowercase Letter
ValueCountFrequency (%)
a 15
12.5%
e 13
 
10.8%
i 10
 
8.3%
l 9
 
7.5%
o 8
 
6.7%
n 8
 
6.7%
h 7
 
5.8%
d 6
 
5.0%
r 5
 
4.2%
x 4
 
3.3%
Other values (13) 35
29.2%
Uppercase Letter
ValueCountFrequency (%)
E 24
11.7%
R 21
 
10.2%
A 19
 
9.2%
S 17
 
8.3%
K 16
 
7.8%
M 13
 
6.3%
O 12
 
5.8%
L 10
 
4.9%
N 10
 
4.9%
T 10
 
4.9%
Other values (12) 54
26.2%
Decimal Number
ValueCountFrequency (%)
2 81
32.9%
1 48
19.5%
0 48
19.5%
9 16
 
6.5%
8 14
 
5.7%
3 12
 
4.9%
7 8
 
3.3%
5 7
 
2.8%
6 6
 
2.4%
4 6
 
2.4%
Other Punctuation
ValueCountFrequency (%)
' 61
44.9%
: 19
 
14.0%
/ 19
 
14.0%
, 13
 
9.6%
? 6
 
4.4%
! 5
 
3.7%
. 4
 
2.9%
· 3
 
2.2%
& 3
 
2.2%
@ 3
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 2
33.3%
~ 2
33.3%
< 1
16.7%
> 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 89
75.4%
[ 24
 
20.3%
「 5
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 89
75.4%
] 24
 
20.3%
」 5
 
4.2%
Space Separator
ValueCountFrequency (%)
840
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3218
63.2%
Common 1541
30.3%
Latin 326
 
6.4%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 130
 
4.0%
학 98
 
3.0%
기 76
 
2.4%
인 68
 
2.1%
라 68
 
2.1%
과 57
 
1.8%
아 50
 
1.6%
전 50
 
1.6%
의 45
 
1.4%
로 44
 
1.4%
Other values (375) 2532
78.7%
Latin
ValueCountFrequency (%)
E 24
 
7.4%
R 21
 
6.4%
A 19
 
5.8%
S 17
 
5.2%
K 16
 
4.9%
a 15
 
4.6%
e 13
 
4.0%
M 13
 
4.0%
O 12
 
3.7%
i 10
 
3.1%
Other values (35) 166
50.9%
Common
ValueCountFrequency (%)
840
54.5%
( 89
 
5.8%
) 89
 
5.8%
2 81
 
5.3%
- 65
 
4.2%
' 61
 
4.0%
1 48
 
3.1%
0 48
 
3.1%
] 24
 
1.6%
[ 24
 
1.6%
Other values (25) 172
 
11.2%
Han
ValueCountFrequency (%)
展 4
80.0%
夜 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3218
63.2%
ASCII 1844
36.2%
None 13
 
0.3%
Punctuation 10
 
0.2%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
840
45.6%
( 89
 
4.8%
) 89
 
4.8%
2 81
 
4.4%
- 65
 
3.5%
' 61
 
3.3%
1 48
 
2.6%
0 48
 
2.6%
E 24
 
1.3%
] 24
 
1.3%
Other values (65) 475
25.8%
Hangul
ValueCountFrequency (%)
이 130
 
4.0%
학 98
 
3.0%
기 76
 
2.4%
인 68
 
2.1%
라 68
 
2.1%
과 57
 
1.8%
아 50
 
1.6%
전 50
 
1.6%
의 45
 
1.4%
로 44
 
1.4%
Other values (375) 2532
78.7%
None
ValueCountFrequency (%)
」 5
38.5%
「 5
38.5%
· 3
23.1%
Punctuation
ValueCountFrequency (%)
‘ 5
50.0%
’ 5
50.0%
CJK
ValueCountFrequency (%)
展 4
80.0%
夜 1
 
20.0%

카테고리 분류
Real number (ℝ)

Distinct9
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.183908
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T15:11:03.124522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q37
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4566804
Coefficient of variation (CV)0.47390509
Kurtosis-0.48649401
Mean5.183908
Median Absolute Deviation (MAD)2
Skewness0.50572974
Sum1353
Variance6.0352785
MonotonicityNot monotonic
2023-12-12T15:11:03.240406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 116
44.4%
7 37
 
14.2%
10 29
 
11.1%
6 23
 
8.8%
2 22
 
8.4%
8 16
 
6.1%
1 13
 
5.0%
3 4
 
1.5%
5 1
 
0.4%
ValueCountFrequency (%)
1 13
 
5.0%
2 22
 
8.4%
3 4
 
1.5%
4 116
44.4%
5 1
 
0.4%
6 23
 
8.8%
7 37
 
14.2%
8 16
 
6.1%
10 29
 
11.1%
ValueCountFrequency (%)
10 29
 
11.1%
8 16
 
6.1%
7 37
 
14.2%
6 23
 
8.8%
5 1
 
0.4%
4 116
44.4%
3 4
 
1.5%
2 22
 
8.4%
1 13
 
5.0%

행사 시작일
Date

MISSING 

Distinct198
Distinct (%)78.0%
Missing7
Missing (%)2.7%
Memory size2.2 KiB
Minimum2015-12-11 00:00:00
Maximum2022-08-22 00:00:00
2023-12-12T15:11:03.392645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:03.569224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사 종료일
Date

MISSING 

Distinct181
Distinct (%)71.3%
Missing7
Missing (%)2.7%
Memory size2.2 KiB
Minimum2016-02-29 00:00:00
Maximum2022-12-18 00:00:00
2023-12-12T15:11:03.772775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:03.952904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사시간
Text

MISSING 

Distinct98
Distinct (%)43.4%
Missing35
Missing (%)13.4%
Memory size2.2 KiB
2023-12-12T15:11:04.224769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length11.106195
Min length3

Characters and Unicode

Total characters2510
Distinct characters75
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

Unique76 ?
Unique (%)33.6%

Sample

1st row개관시간과 동일
2nd row개관시간과 동일
3rd row토 15:00~16:30
4th row개관시간과 동일
5th row10:30 ~ 11:50 (80분간)
ValueCountFrequency (%)
참조 56
 
14.0%
상세내용 37
 
9.2%
09:30~17:30 28
 
7.0%
22
 
5.5%
내용 16
 
4.0%
상세 15
 
3.7%
14:00~17:00 11
 
2.7%
10:00~17:00 11
 
2.7%
동일 10
 
2.5%
개관시간과 9
 
2.2%
Other values (128) 186
46.4%
2023-12-12T15:11:04.692055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 539
21.5%
1 298
11.9%
: 295
11.8%
182
 
7.3%
3 129
 
5.1%
~ 119
 
4.7%
7 66
 
2.6%
내 63
 
2.5%
참 63
 
2.5%
조 63
 
2.5%
Other values (65) 693
27.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1256
50.0%
Other Letter 570
22.7%
Other Punctuation 348
 
13.9%
Space Separator 182
 
7.3%
Math Symbol 119
 
4.7%
Dash Punctuation 17
 
0.7%
Open Punctuation 9
 
0.4%
Close Punctuation 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 63
11.1%
참 63
11.1%
조 63
11.1%
세 61
10.7%
상 60
10.5%
용 60
10.5%
시 31
 
5.4%
일 21
 
3.7%
간 13
 
2.3%
동 12
 
2.1%
Other values (46) 123
21.6%
Decimal Number
ValueCountFrequency (%)
0 539
42.9%
1 298
23.7%
3 129
 
10.3%
7 66
 
5.3%
4 58
 
4.6%
2 49
 
3.9%
9 46
 
3.7%
5 37
 
2.9%
6 25
 
2.0%
8 9
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 295
84.8%
, 29
 
8.3%
/ 22
 
6.3%
. 2
 
0.6%
Space Separator
ValueCountFrequency (%)
182
100.0%
Math Symbol
ValueCountFrequency (%)
~ 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1940
77.3%
Hangul 570
 
22.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 63
11.1%
참 63
11.1%
조 63
11.1%
세 61
10.7%
상 60
10.5%
용 60
10.5%
시 31
 
5.4%
일 21
 
3.7%
간 13
 
2.3%
동 12
 
2.1%
Other values (46) 123
21.6%
Common
ValueCountFrequency (%)
0 539
27.8%
1 298
15.4%
: 295
15.2%
182
 
9.4%
3 129
 
6.6%
~ 119
 
6.1%
7 66
 
3.4%
4 58
 
3.0%
2 49
 
2.5%
9 46
 
2.4%
Other values (9) 159
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1940
77.3%
Hangul 570
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 539
27.8%
1 298
15.4%
: 295
15.2%
182
 
9.4%
3 129
 
6.6%
~ 119
 
6.1%
7 66
 
3.4%
4 58
 
3.0%
2 49
 
2.5%
9 46
 
2.4%
Other values (9) 159
 
8.2%
Hangul
ValueCountFrequency (%)
내 63
11.1%
참 63
11.1%
조 63
11.1%
세 61
10.7%
상 60
10.5%
용 60
10.5%
시 31
 
5.4%
일 21
 
3.7%
간 13
 
2.3%
동 12
 
2.1%
Other values (46) 123
21.6%

장소
Text

MISSING 

Distinct101
Distinct (%)40.7%
Missing13
Missing (%)5.0%
Memory size2.2 KiB
2023-12-12T15:11:04.953372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length8.8830645
Min length2

Characters and Unicode

Total characters2203
Distinct characters174
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

Unique78 ?
Unique (%)31.5%

Sample

1st row김진재홀(기획전시실)
2nd row1층 소전시실
3rd row천체투영관
4th row1층 중앙홀 및 2층 로비
5th row3층 교육장 Lab1
ValueCountFrequency (%)
1층 121
22.7%
대회의실 38
 
7.1%
3층 32
 
6.0%
국립부산과학관 25
 
4.7%
중회의실 24
 
4.5%
온라인 20
 
3.7%
꿈나래동산 19
 
3.6%
김진재홀 18
 
3.4%
소전시실 13
 
2.4%
발송 13
 
2.4%
Other values (101) 211
39.5%
2023-12-12T15:11:05.388454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
 
13.8%
층 164
 
7.4%
1 131
 
5.9%
실 101
 
4.6%
회 71
 
3.2%
의 70
 
3.2%
관 51
 
2.3%
대 45
 
2.0%
산 45
 
2.0%
재 34
 
1.5%
Other values (164) 1186
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1548
70.3%
Space Separator 305
 
13.8%
Decimal Number 180
 
8.2%
Lowercase Letter 52
 
2.4%
Close Punctuation 31
 
1.4%
Open Punctuation 31
 
1.4%
Uppercase Letter 30
 
1.4%
Other Punctuation 25
 
1.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 164
 
10.6%
실 101
 
6.5%
회 71
 
4.6%
의 70
 
4.5%
관 51
 
3.3%
대 45
 
2.9%
산 45
 
2.9%
재 34
 
2.2%
중 34
 
2.2%
홀 31
 
2.0%
Other values (121) 902
58.3%
Lowercase Letter
ValueCountFrequency (%)
s 8
15.4%
u 5
9.6%
t 5
9.6%
a 4
 
7.7%
w 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 8
26.7%
A 5
16.7%
Z 4
13.3%
B 4
13.3%
M 4
13.3%
L 2
 
6.7%
C 1
 
3.3%
S 1
 
3.3%
F 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 131
72.8%
3 32
 
17.8%
2 7
 
3.9%
4 4
 
2.2%
8 2
 
1.1%
0 2
 
1.1%
9 1
 
0.6%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 11
44.0%
, 10
40.0%
. 2
 
8.0%
: 1
 
4.0%
& 1
 
4.0%
Space Separator
ValueCountFrequency (%)
305
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1548
70.3%
Common 573
 
26.0%
Latin 82
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 164
 
10.6%
실 101
 
6.5%
회 71
 
4.6%
의 70
 
4.5%
관 51
 
3.3%
대 45
 
2.9%
산 45
 
2.9%
재 34
 
2.2%
중 34
 
2.2%
홀 31
 
2.0%
Other values (121) 902
58.3%
Latin
ValueCountFrequency (%)
O 8
 
9.8%
s 8
 
9.8%
A 5
 
6.1%
u 5
 
6.1%
t 5
 
6.1%
a 4
 
4.9%
Z 4
 
4.9%
w 4
 
4.9%
B 4
 
4.9%
M 4
 
4.9%
Other values (16) 31
37.8%
Common
ValueCountFrequency (%)
305
53.2%
1 131
22.9%
3 32
 
5.6%
) 31
 
5.4%
( 31
 
5.4%
/ 11
 
1.9%
, 10
 
1.7%
2 7
 
1.2%
4 4
 
0.7%
8 2
 
0.3%
Other values (7) 9
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1548
70.3%
ASCII 655
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
46.6%
1 131
20.0%
3 32
 
4.9%
) 31
 
4.7%
( 31
 
4.7%
/ 11
 
1.7%
, 10
 
1.5%
O 8
 
1.2%
s 8
 
1.2%
2 7
 
1.1%
Other values (33) 81
 
12.4%
Hangul
ValueCountFrequency (%)
층 164
 
10.6%
실 101
 
6.5%
회 71
 
4.6%
의 70
 
4.5%
관 51
 
3.3%
대 45
 
2.9%
산 45
 
2.9%
재 34
 
2.2%
중 34
 
2.2%
홀 31
 
2.0%
Other values (121) 902
58.3%

대상
Text

MISSING 

Distinct76
Distinct (%)30.5%
Missing12
Missing (%)4.6%
Memory size2.2 KiB
2023-12-12T15:11:05.635489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length7.2289157
Min length2

Characters and Unicode

Total characters1800
Distinct characters135
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)21.7%

Sample

1st row누구나
2nd row누구나
3rd row누구나
4th row청소년 및 일반시민
5th row학부모
ValueCountFrequency (%)
누구나 135
30.0%
이상 25
 
5.6%
누구나(가족단위 22
 
4.9%
성인 21
 
4.7%
권장 16
 
3.6%
학부모 15
 
3.3%
및 11
 
2.4%
초등학생 9
 
2.0%
초등 8
 
1.8%
가족 7
 
1.6%
Other values (104) 181
40.2%
2023-12-12T15:11:06.061963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
 
12.7%
구 170
 
9.4%
누 169
 
9.4%
나 169
 
9.4%
학 62
 
3.4%
등 54
 
3.0%
) 52
 
2.9%
( 52
 
2.9%
초 41
 
2.3%
가 40
 
2.2%
Other values (125) 762
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1400
77.8%
Space Separator 229
 
12.7%
Close Punctuation 52
 
2.9%
Open Punctuation 52
 
2.9%
Decimal Number 38
 
2.1%
Other Punctuation 14
 
0.8%
Math Symbol 11
 
0.6%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 170
 
12.1%
누 169
 
12.1%
나 169
 
12.1%
학 62
 
4.4%
등 54
 
3.9%
초 41
 
2.9%
가 40
 
2.9%
상 37
 
2.6%
이 37
 
2.6%
족 37
 
2.6%
Other values (103) 584
41.7%
Decimal Number
ValueCountFrequency (%)
1 9
23.7%
6 5
13.2%
5 5
13.2%
7 5
13.2%
3 4
10.5%
9 3
 
7.9%
0 3
 
7.9%
2 2
 
5.3%
4 2
 
5.3%
Other Punctuation
ValueCountFrequency (%)
· 4
28.6%
/ 4
28.6%
, 4
28.6%
: 2
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
O 1
25.0%
L 1
25.0%
D 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1399
77.7%
Common 396
 
22.0%
Latin 4
 
0.2%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 170
 
12.2%
누 169
 
12.1%
나 169
 
12.1%
학 62
 
4.4%
등 54
 
3.9%
초 41
 
2.9%
가 40
 
2.9%
상 37
 
2.6%
이 37
 
2.6%
족 37
 
2.6%
Other values (102) 583
41.7%
Common
ValueCountFrequency (%)
229
57.8%
) 52
 
13.1%
( 52
 
13.1%
~ 10
 
2.5%
1 9
 
2.3%
6 5
 
1.3%
5 5
 
1.3%
7 5
 
1.3%
· 4
 
1.0%
3 4
 
1.0%
Other values (8) 21
 
5.3%
Latin
ValueCountFrequency (%)
C 1
25.0%
O 1
25.0%
L 1
25.0%
D 1
25.0%
Han
ValueCountFrequency (%)
展 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1399
77.7%
ASCII 396
 
22.0%
None 4
 
0.2%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
57.8%
) 52
 
13.1%
( 52
 
13.1%
~ 10
 
2.5%
1 9
 
2.3%
6 5
 
1.3%
5 5
 
1.3%
7 5
 
1.3%
3 4
 
1.0%
/ 4
 
1.0%
Other values (11) 21
 
5.3%
Hangul
ValueCountFrequency (%)
구 170
 
12.2%
누 169
 
12.1%
나 169
 
12.1%
학 62
 
4.4%
등 54
 
3.9%
초 41
 
2.9%
가 40
 
2.9%
상 37
 
2.6%
이 37
 
2.6%
족 37
 
2.6%
Other values (102) 583
41.7%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
展 1
100.0%

접수시작일
Date

MISSING 

Distinct105
Distinct (%)70.9%
Missing113
Missing (%)43.3%
Memory size2.2 KiB
Minimum2015-12-31 00:00:00
Maximum2022-08-22 00:00:00
2023-12-12T15:11:06.207947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:06.683135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수종료일
Date

MISSING 

Distinct117
Distinct (%)80.1%
Missing115
Missing (%)44.1%
Memory size2.2 KiB
Minimum2018-06-29 00:00:00
Maximum2022-12-18 00:00:00
2023-12-12T15:11:06.821083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:06.972692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

문의
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
051-750-2300
102 
<NA>
102 
051-750-2346
13 
1422-23(무료)/051-750-2300
 
8
051)750-2300
 
4
Other values (20)
32 

Length

Max length54
Median length12
Mean length10.1341
Min length4

Unique

Unique12 ?
Unique (%)4.6%

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 102
39.1%
<NA> 102
39.1%
051-750-2346 13
 
5.0%
1422-23(무료)/051-750-2300 8
 
3.1%
051)750-2300 4
 
1.5%
1422-23(무료) / 051-750-2300 4
 
1.5%
1422-23(무료)/051-750-2325 3
 
1.1%
051-750-2441 3
 
1.1%
1422-23 2
 
0.8%
051-750-2345 2
 
0.8%
Other values (15) 18
 
6.9%

Length

2023-12-12T15:11:07.169215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-750-2300 106
36.9%
na 102
35.5%
051-750-2346 13
 
4.5%
11
 
3.8%
1422-23(무료)/051-750-2300 8
 
2.8%
1422-23(무료 6
 
2.1%
051)750-2300 4
 
1.4%
051-750-2441 4
 
1.4%
e-mail 4
 
1.4%
1422-23(무료)/051-750-2325 3
 
1.0%
Other values (18) 26
 
9.1%

내용
Text

MISSING 

Distinct135
Distinct (%)100.0%
Missing126
Missing (%)48.3%
Memory size2.2 KiB
2023-12-12T15:11:07.519355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length400
Median length114
Mean length98.977778
Min length11

Characters and Unicode

Total characters13362
Distinct characters579
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
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 102
 
4.4%
53
 
2.3%
1층 36
 
1.6%
2019 24
 
1.0%
science 23
 
1.0%
및 16
 
0.7%
대회의실 16
 
0.7%
event 15
 
0.7%
메이커 14
 
0.6%
장소 14
 
0.6%
Other values (1361) 1980
86.3%
2023-12-12T15:11:08.054776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2176
 
16.3%
0 526
 
3.9%
1 506
 
3.8%
. 380
 
2.8%
2 293
 
2.2%
: 248
 
1.9%
학 246
 
1.8%
과 197
 
1.5%
부 187
 
1.4%
관 176
 
1.3%
Other values (569) 8427
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6650
49.8%
Space Separator 2176
 
16.3%
Decimal Number 1888
 
14.1%
Lowercase Letter 862
 
6.5%
Other Punctuation 822
 
6.2%
Uppercase Letter 436
 
3.3%
Open Punctuation 185
 
1.4%
Close Punctuation 183
 
1.4%
Math Symbol 107
 
0.8%
Dash Punctuation 48
 
0.4%
Other values (4) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 246
 
3.7%
과 197
 
3.0%
부 187
 
2.8%
관 176
 
2.6%
산 165
 
2.5%
이 144
 
2.2%
국 142
 
2.1%
립 141
 
2.1%
기 139
 
2.1%
일 119
 
1.8%
Other values (482) 4994
75.1%
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
46.2%
: 248
30.2%
, 83
 
10.1%
! 36
 
4.4%
/ 36
 
4.4%
' 13
 
1.6%
* 6
 
0.7%
? 6
 
0.7%
@ 5
 
0.6%
& 4
 
0.5%
Other values (2) 5
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 526
27.9%
1 506
26.8%
2 293
15.5%
3 124
 
6.6%
9 101
 
5.3%
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 (%)
2176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Other Symbol
ValueCountFrequency (%)
♥ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6648
49.8%
Common 5414
40.5%
Latin 1298
 
9.7%
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
 
2.6%
산 165
 
2.5%
이 144
 
2.2%
국 142
 
2.1%
립 141
 
2.1%
기 139
 
2.1%
일 119
 
1.8%
Other values (481) 4992
75.1%
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 (%)
2176
40.2%
0 526
 
9.7%
1 506
 
9.3%
. 380
 
7.0%
2 293
 
5.4%
: 248
 
4.6%
( 175
 
3.2%
) 173
 
3.2%
3 124
 
2.3%
9 101
 
1.9%
Other values (27) 712
 
13.2%
Han
ValueCountFrequency (%)
夜 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6709
50.2%
Hangul 6643
49.7%
Compat Jamo 5
 
< 0.1%
CJK 2
 
< 0.1%
Punctuation 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2176
32.4%
0 526
 
7.8%
1 506
 
7.5%
. 380
 
5.7%
2 293
 
4.4%
: 248
 
3.7%
( 175
 
2.6%
) 173
 
2.6%
e 129
 
1.9%
3 124
 
1.8%
Other values (74) 1979
29.5%
Hangul
ValueCountFrequency (%)
학 246
 
3.7%
과 197
 
3.0%
부 187
 
2.8%
관 176
 
2.6%
산 165
 
2.5%
이 144
 
2.2%
국 142
 
2.1%
립 141
 
2.1%
기 139
 
2.1%
일 119
 
1.8%
Other values (480) 4987
75.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
夜 2
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

등록일
Date

Distinct170
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-07-05 00:00:00
Maximum2022-08-22 00:00:00
2023-12-12T15:11:08.197021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:08.352766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T15:11:00.890601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:00.749254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:00.965155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:00.823090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:11:08.451778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사코드결제구분카테고리 분류행사시간대상문의
행사코드1.0000.4080.4800.9840.8410.923
결제구분0.4081.0000.6690.7620.7830.653
카테고리 분류0.4800.6691.0000.8990.7980.813
행사시간0.9840.7620.8991.0000.9580.938
대상0.8410.7830.7980.9581.0000.967
문의0.9230.6530.8130.9380.9671.000
2023-12-12T15:11:08.565446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문의결제구분
문의1.0000.340
결제구분0.3401.000
2023-12-12T15:11:08.687687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사코드카테고리 분류결제구분문의
행사코드1.000-0.0360.1480.570
카테고리 분류-0.0361.0000.4940.414
결제구분0.1480.4941.0000.340
문의0.5700.4140.3401.000

Missing values

2023-12-12T15:11:01.089064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:11:01.275559image/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.
2023-12-12T15:11:01.436308image/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

행사코드결제구분제목카테고리 분류행사 시작일행사 종료일행사시간장소대상접수시작일접수종료일문의내용등록일
03591B영화 더하기 과학12016-12-232017-05-21개관시간과 동일김진재홀(기획전시실)누구나<NA><NA>051-750-2300국립부산과학관 개관 1주년 기념 특별기획전. 영화더히기과학. 2016.12.23 ~ 2017.04.02국립부산과학관. 주최/주관 : 국립부산과학관. 후원 : 영화의 전당2018-07-26
13592D가상이 현실이 되다22016-06-172016-09-25개관시간과 동일1층 소전시실누구나<NA><NA>051-750-2300국립부산과학관 특별체험전. 가상(Virtual)이 현실(Reality)이 되다. 2016.06.17~09.25. 1층 중앙홀(상시무료체험). 주관ㆍ주최 : 국립부산과학관. 후원 : 기아자동차2018-07-26
23594C토크콘서트 - 노벨상을 향한 가속기72018-06-302018-06-30토 15:00~16:30천체투영관누구나2018-06-252018-06-29051-750-2300토크콘서트. 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
33599D2016 기상기후 사진전22016-03-182018-04-03개관시간과 동일1층 중앙홀 및 2층 로비청소년 및 일반시민<NA><NA>051-750-23002016 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
43604AKITCHEN LAB102018-08-242018-08-2410:30 ~ 11:50 (80분간)3층 교육장 Lab1학부모2018-08-222018-08-23<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
52233A[천체관측소] 주간관측 프로그램32021-01-192021-12-31세부안내문 참조4층 천체관측소초등학생 이상2015-12-312021-12-31e-mail : astro.obs@sciport.or.kr주간관측 프로그램안내 이미지입니다. 상세보기 버튼을 눌러서 내용 확인 가능2018-07-05
63762C나비야, 나비야22020-05-062020-08-3009:30~17:301층 소전시실누구나<NA><NA><NA><NA>2020-05-07
73584D夜 오늘 한번 놀아보자!42018-08-042018-08-0413:30 ~ 21:30국립부산과학관 정문광장 및 천체투영관 앞 마당누구나<NA><NA>051-750-23002018 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
82238B[새싹누리관] 자유관람 단체32022-03-022022-12-161회차 10:00, 2회차 12:00, 3회차 14:00, 4회차 16:001층 새싹누리관15명 이상 유아 단체(유치원/어린이집)2022-02-042022-11-301422-23(무료) / 051-750-2325[새싹누리관] 단체(15인이상) 예약 안내 이미지입니다. 상세보기 버튼을 눌러서 내용 확인 가능2018-07-05
93541D[꿈나래동산] 미니물로켓발사42018-04-072018-06-30주말 및 공휴일꿈나래동산누구나2018-04-072018-06-29051-750-2300미니물로켓발사[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
행사코드결제구분제목카테고리 분류행사 시작일행사 종료일행사시간장소대상접수시작일접수종료일문의내용등록일
2513898A꿈나래 메이커 놀이터(5월) - 온라인42022-05-242022-06-01상세 내용 참조온라인누구나(가족단위)2022-05-242022-05-30<NA><NA>2022-05-09
2523901A「향기의 재발견」전시 연계 체험 프로그램 ‘나의 향기를 찾아서’22022-06-222022-07-17상세 내용 참조1층 중회의실초등학생(1회당 30명)2022-06-222022-07-17051-750-2300향기의 재발견 전시 연계 체험 프로그램 ‘나의 향기를 찾아서’2022-06-21
2533905C[온라인] 필즈상 수상 기념 특별강연 ‘수학자만 아는 필즈상 뒷 이야기’72022-07-182022-07-23상세 내용 참조온라인(유튜브) 실시간 시청(사전신청 마감 후 링크 발송)중고등학생 이상 권장 (초등 5~6학년 가능)2022-07-182022-07-22<NA><NA>2022-07-18
2543856A부캐의 발견 - MAKER(11월 오프라인)42021-11-082021-11-26상세내용 참조1층 꿈나래동산누구나(가족단위 권장)2021-11-092021-11-26<NA><NA>2021-11-08
2553871C부캐의 발견 - MAKER(12/25~12/26)42021-12-212021-12-26상세내용 참조1층 꿈나래동산누구나(가족단위 권장)2021-12-212021-12-24<NA><NA>2021-12-21
2563872D주말과학공연 '과학관에 공룡이 산다 시즌2'72022-01-022022-02-27상세내용 참조1층 대회의실누구나<NA><NA><NA><NA>2022-01-03
2573873C부캐의 발견(1월) - 오프라인42022-01-072022-01-30상세내용 참조1층 꿈나래동산누구나(체험자 기준으로 신청)2022-01-242022-01-28<NA><NA>2022-01-07
2583874A부캐의 발견(1월) - 온라인42022-01-132022-01-19상세내용 참조집(재료 발송)누구나(가족단위)2022-01-132022-01-19<NA><NA>2022-01-13
2593892D서커스 인 사이언스72022-04-172022-04-1711:00, 13:50, 15:001층 대회의실누구나(유아 및 초등 동반가족 추천)<NA><NA><NA><NA>2022-04-13
2603910A꿈나래 메이커 놀이터(8월) - 오프라인42022-08-032022-08-28상세 내용 참조1층 꿈나래동산누구나(가족단위)2022-08-032022-08-28<NA><NA>2022-08-02