Overview

Dataset statistics

Number of variables9
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory79.0 B

Variable types

Categorical2
Numeric4
Text2
DateTime1

Dataset

Description2020년 1년간 한국항공우주연구원 메인 홈페이지에서 제공된 배움터의 정보입니다.
Author한국항공우주연구원
URLhttps://www.data.go.kr/data/15091993/fileData.do

Alerts

고유번호 is highly overall correlated with 구분High correlation
조회수 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 고유번호 and 1 other fieldsHigh correlation
표출순서 is highly imbalanced (88.5%)Imbalance
제목 has unique valuesUnique
첨부파일고유번호 has unique valuesUnique
고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:35:30.691495
Analysis finished2023-12-12 03:35:33.810245
Duration3.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
항공
21 
인공위성
15 
로켓
13 
우주과학
8 
달탐사/우주탐사
7 

Length

Max length8
Median length2
Mean length3.3538462
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
항공 21
32.3%
인공위성 15
23.1%
로켓 13
20.0%
우주과학 8
 
12.3%
달탐사/우주탐사 7
 
10.8%
항법 1
 
1.5%

Length

2023-12-12T12:35:33.923604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:35:34.105404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
항공 21
32.3%
인공위성 15
23.1%
로켓 13
20.0%
우주과학 8
 
12.3%
달탐사/우주탐사 7
 
10.8%
항법 1
 
1.5%

정렬순서
Real number (ℝ)

Distinct28
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.123077
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T12:35:34.276514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median15
Q320
95-th percentile27.8
Maximum31
Range30
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1643817
Coefficient of variation (CV)0.47373836
Kurtosis-0.5589216
Mean15.123077
Median Absolute Deviation (MAD)5
Skewness0.2501847
Sum983
Variance51.328365
MonotonicityNot monotonic
2023-12-12T12:35:34.452863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
9 5
 
7.7%
10 4
 
6.2%
11 4
 
6.2%
22 3
 
4.6%
14 3
 
4.6%
15 3
 
4.6%
12 3
 
4.6%
16 3
 
4.6%
17 3
 
4.6%
18 3
 
4.6%
Other values (18) 31
47.7%
ValueCountFrequency (%)
1 2
 
3.1%
5 3
4.6%
6 2
 
3.1%
7 2
 
3.1%
8 2
 
3.1%
9 5
7.7%
10 4
6.2%
11 4
6.2%
12 3
4.6%
13 2
 
3.1%
ValueCountFrequency (%)
31 1
 
1.5%
30 1
 
1.5%
29 1
 
1.5%
28 1
 
1.5%
27 1
 
1.5%
26 1
 
1.5%
25 1
 
1.5%
24 1
 
1.5%
23 2
3.1%
22 3
4.6%

제목
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T12:35:34.859890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length10.153846
Min length3

Characters and Unicode

Total characters660
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row이카루스와 라이트 형제의 꿈
2nd row비행기와 바람의 방향
3rd row소닉붐
4th row항공기의 구성과 구조
5th row항공기와 기네스
ValueCountFrequency (%)
인공위성의 4
 
2.3%
항공기의 3
 
1.8%
원리 3
 
1.8%
인공위성 3
 
1.8%
로켓의 3
 
1.8%
구조 3
 
1.8%
발사 3
 
1.8%
비행기와 3
 
1.8%
속 2
 
1.2%
비행 2
 
1.2%
Other values (135) 142
83.0%
2023-12-12T12:35:35.403394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
16.4%
의 29
 
4.4%
기 28
 
4.2%
공 20
 
3.0%
성 20
 
3.0%
로 17
 
2.6%
위 15
 
2.3%
사 15
 
2.3%
인 13
 
2.0%
비 11
 
1.7%
Other values (177) 384
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 532
80.6%
Space Separator 108
 
16.4%
Lowercase Letter 9
 
1.4%
Other Punctuation 5
 
0.8%
Uppercase Letter 3
 
0.5%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 29
 
5.5%
기 28
 
5.3%
공 20
 
3.8%
성 20
 
3.8%
로 17
 
3.2%
위 15
 
2.8%
사 15
 
2.8%
인 13
 
2.4%
비 11
 
2.1%
이 11
 
2.1%
Other values (164) 353
66.4%
Lowercase Letter
ValueCountFrequency (%)
p 2
22.2%
r 2
22.2%
l 2
22.2%
e 2
22.2%
o 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
108
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 532
80.6%
Common 116
 
17.6%
Latin 12
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 29
 
5.5%
기 28
 
5.3%
공 20
 
3.8%
성 20
 
3.8%
로 17
 
3.2%
위 15
 
2.8%
사 15
 
2.8%
인 13
 
2.4%
비 11
 
2.1%
이 11
 
2.1%
Other values (164) 353
66.4%
Latin
ValueCountFrequency (%)
p 2
16.7%
r 2
16.7%
l 2
16.7%
e 2
16.7%
G 1
8.3%
P 1
8.3%
S 1
8.3%
o 1
8.3%
Common
ValueCountFrequency (%)
108
93.1%
, 5
 
4.3%
- 1
 
0.9%
) 1
 
0.9%
( 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 532
80.6%
ASCII 128
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
84.4%
, 5
 
3.9%
p 2
 
1.6%
r 2
 
1.6%
l 2
 
1.6%
e 2
 
1.6%
G 1
 
0.8%
P 1
 
0.8%
S 1
 
0.8%
- 1
 
0.8%
Other values (3) 3
 
2.3%
Hangul
ValueCountFrequency (%)
의 29
 
5.5%
기 28
 
5.3%
공 20
 
3.8%
성 20
 
3.8%
로 17
 
3.2%
위 15
 
2.8%
사 15
 
2.8%
인 13
 
2.4%
비 11
 
2.1%
이 11
 
2.1%
Other values (164) 353
66.4%

첨부파일고유번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T12:35:35.624890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1300
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st rowFILE_000000000007899
2nd rowFILE_000000000007935
3rd rowFILE_000000000007936
4th rowFILE_000000000007937
5th rowFILE_000000000007944
ValueCountFrequency (%)
file_000000000007899 1
 
1.5%
file_000000000008051 1
 
1.5%
file_000000000008053 1
 
1.5%
file_000000000008054 1
 
1.5%
file_000000000008055 1
 
1.5%
file_000000000008056 1
 
1.5%
file_000000000008057 1
 
1.5%
file_000000000008058 1
 
1.5%
file_000000000008059 1
 
1.5%
file_000000000008060 1
 
1.5%
Other values (55) 55
84.6%
2023-12-12T12:35:35.987713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 766
58.9%
F 65
 
5.0%
I 65
 
5.0%
L 65
 
5.0%
E 65
 
5.0%
_ 65
 
5.0%
8 57
 
4.4%
7 34
 
2.6%
9 28
 
2.2%
5 19
 
1.5%
Other values (5) 71
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 975
75.0%
Uppercase Letter 260
 
20.0%
Connector Punctuation 65
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 766
78.6%
8 57
 
5.8%
7 34
 
3.5%
9 28
 
2.9%
5 19
 
1.9%
3 16
 
1.6%
6 16
 
1.6%
4 16
 
1.6%
1 13
 
1.3%
2 10
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 65
25.0%
I 65
25.0%
L 65
25.0%
E 65
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1040
80.0%
Latin 260
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 766
73.7%
_ 65
 
6.2%
8 57
 
5.5%
7 34
 
3.3%
9 28
 
2.7%
5 19
 
1.8%
3 16
 
1.5%
6 16
 
1.5%
4 16
 
1.5%
1 13
 
1.2%
Latin
ValueCountFrequency (%)
F 65
25.0%
I 65
25.0%
L 65
25.0%
E 65
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 766
58.9%
F 65
 
5.0%
I 65
 
5.0%
L 65
 
5.0%
E 65
 
5.0%
_ 65
 
5.0%
8 57
 
4.4%
7 34
 
2.6%
9 28
 
2.2%
5 19
 
1.5%
Other values (5) 71
 
5.5%

고유번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.630769
Minimum60
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T12:35:36.191726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile63.2
Q177
median94
Q3110
95-th percentile123.8
Maximum127
Range67
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.918246
Coefficient of variation (CV)0.21273185
Kurtosis-1.1979353
Mean93.630769
Median Absolute Deviation (MAD)17
Skewness-0.015102771
Sum6086
Variance396.73654
MonotonicityStrictly increasing
2023-12-12T12:35:36.374283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 1
 
1.5%
111 1
 
1.5%
97 1
 
1.5%
98 1
 
1.5%
99 1
 
1.5%
100 1
 
1.5%
101 1
 
1.5%
102 1
 
1.5%
103 1
 
1.5%
104 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
60 1
1.5%
61 1
1.5%
62 1
1.5%
63 1
1.5%
64 1
1.5%
65 1
1.5%
66 1
1.5%
67 1
1.5%
68 1
1.5%
69 1
1.5%
ValueCountFrequency (%)
127 1
1.5%
126 1
1.5%
125 1
1.5%
124 1
1.5%
123 1
1.5%
122 1
1.5%
121 1
1.5%
120 1
1.5%
119 1
1.5%
118 1
1.5%

등록일시
Date

Distinct14
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2020-05-12 00:00:00
Maximum2020-06-18 00:00:00
2023-12-12T12:35:36.513876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:36.623384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

내용개수
Real number (ℝ)

Distinct15
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8461538
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T12:35:36.824148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile20
Maximum25
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.452152
Coefficient of variation (CV)1.1250472
Kurtosis5.6594151
Mean4.8461538
Median Absolute Deviation (MAD)2
Skewness2.4157403
Sum315
Variance29.725962
MonotonicityNot monotonic
2023-12-12T12:35:36.943270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 19
29.2%
4 12
18.5%
3 9
13.8%
6 6
 
9.2%
2 5
 
7.7%
8 3
 
4.6%
5 3
 
4.6%
7 1
 
1.5%
21 1
 
1.5%
13 1
 
1.5%
Other values (5) 5
 
7.7%
ValueCountFrequency (%)
1 19
29.2%
2 5
 
7.7%
3 9
13.8%
4 12
18.5%
5 3
 
4.6%
6 6
 
9.2%
7 1
 
1.5%
8 3
 
4.6%
9 1
 
1.5%
13 1
 
1.5%
ValueCountFrequency (%)
25 1
 
1.5%
23 1
 
1.5%
22 1
 
1.5%
21 1
 
1.5%
16 1
 
1.5%
13 1
 
1.5%
9 1
 
1.5%
8 3
4.6%
7 1
 
1.5%
6 6
9.2%

표출순서
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
1
64 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 64
98.5%
2 1
 
1.5%

Length

2023-12-12T12:35:37.067041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:35:37.188521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 64
98.5%
2 1
 
1.5%

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean981.2
Minimum187
Maximum24284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T12:35:37.367300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187
5-th percentile222.2
Q1311
median438
Q3633
95-th percentile1089.6
Maximum24284
Range24097
Interquartile range (IQR)322

Descriptive statistics

Standard deviation3102.5835
Coefficient of variation (CV)3.1620297
Kurtosis52.010057
Mean981.2
Median Absolute Deviation (MAD)154
Skewness7.0391898
Sum63778
Variance9626024.6
MonotonicityNot monotonic
2023-12-12T12:35:37.564977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
592 2
 
3.1%
413 2
 
3.1%
24284 1
 
1.5%
706 1
 
1.5%
716 1
 
1.5%
1455 1
 
1.5%
1068 1
 
1.5%
737 1
 
1.5%
574 1
 
1.5%
799 1
 
1.5%
Other values (53) 53
81.5%
ValueCountFrequency (%)
187 1
1.5%
193 1
1.5%
203 1
1.5%
220 1
1.5%
231 1
1.5%
237 1
1.5%
243 1
1.5%
250 1
1.5%
253 1
1.5%
256 1
1.5%
ValueCountFrequency (%)
24284 1
1.5%
8340 1
1.5%
1455 1
1.5%
1095 1
1.5%
1068 1
1.5%
986 1
1.5%
914 1
1.5%
850 1
1.5%
814 1
1.5%
799 1
1.5%

Interactions

2023-12-12T12:35:33.015217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:31.133944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:31.621428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:32.154491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:33.147710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:31.254961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:31.766072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:32.282047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:33.280759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:31.393315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:31.900549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:32.772340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:33.399413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:31.521245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:32.020221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:35:32.892722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:35:37.702119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분정렬순서제목첨부파일고유번호고유번호등록일시내용개수표출순서조회수
구분1.0000.6121.0001.0000.8870.9250.2200.0000.934
정렬순서0.6121.0001.0001.0000.8120.7450.0000.1730.769
제목1.0001.0001.0001.0001.0001.0001.0001.0001.000
첨부파일고유번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
고유번호0.8870.8121.0001.0001.0000.9500.3320.1730.041
등록일시0.9250.7451.0001.0000.9501.0000.1480.0000.798
내용개수0.2200.0001.0001.0000.3320.1481.0000.0000.000
표출순서0.0000.1731.0001.0000.1730.0000.0001.0000.000
조회수0.9340.7691.0001.0000.0410.7980.0000.0001.000
2023-12-12T12:35:37.893828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분표출순서
구분1.0000.000
표출순서0.0001.000
2023-12-12T12:35:38.029752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬순서고유번호내용개수조회수구분표출순서
정렬순서1.000-0.238-0.291-0.1890.3670.315
고유번호-0.2381.0000.319-0.1370.7050.115
내용개수-0.2910.3191.000-0.0890.1140.000
조회수-0.189-0.137-0.0891.0000.6730.000
구분0.3670.7050.1140.6731.0000.000
표출순서0.3150.1150.0000.0000.0001.000

Missing values

2023-12-12T12:35:33.573562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:35:33.742661image/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

구분정렬순서제목첨부파일고유번호고유번호등록일시내용개수표출순서조회수
0항공1이카루스와 라이트 형제의 꿈FILE_000000000007899602020-05-128124284
1항공5비행기와 바람의 방향FILE_000000000007935612020-05-1931642
2항공9소닉붐FILE_000000000007936622020-05-1921382
3항공14항공기의 구성과 구조FILE_000000000007937632020-05-1961605
4항공15항공기와 기네스FILE_000000000007944642020-05-2021266
5로켓9로켓의 구조FILE_000000000007973652020-05-2261914
6로켓10로켓의 발사 방법FILE_000000000007974662020-05-2241689
7로켓11로켓과 열FILE_000000000007975672020-05-2211424
8로켓13로켓의 기본 발사원리 - 운동량 보존의 법칙FILE_000000000007976682020-05-2211986
9로켓12로켓 엔진과 비행기 엔진FILE_000000000007977692020-05-2211552
구분정렬순서제목첨부파일고유번호고유번호등록일시내용개수표출순서조회수
55달탐사/우주탐사5달의 지형FILE_0000000000080981182020-06-1241814
56우주과학9선조의 항공우주기술FILE_0000000000080991192020-06-12161277
57우주과학11생활 속 우주기술FILE_0000000000081001202020-06-1581395
58우주과학12역사 속 항공우주인FILE_0000000000081011212020-06-15231250
59달탐사/우주탐사6영화 속의 달FILE_0000000000081021222020-06-1541280
60달탐사/우주탐사7심우주 통신, 어떻게 가능한가FILE_0000000000081031232020-06-1531350
61달탐사/우주탐사8혜성 탐사와 로제타호FILE_0000000000081211242020-06-1861220
62달탐사/우주탐사9화성 탐사FILE_0000000000081221252020-06-1851469
63달탐사/우주탐사10행성 탐사의 역사FILE_0000000000081231262020-06-18221353
64달탐사/우주탐사11우주로의 첫발, 달탐사FILE_0000000000081241272020-06-18251592