Overview

Dataset statistics

Number of variables6
Number of observations692
Missing cells958
Missing cells (%)23.1%
Duplicate rows34
Duplicate rows (%)4.9%
Total size in memory32.6 KiB
Average record size in memory48.2 B

Variable types

Text3
DateTime3

Dataset

Description중소벤처기업부 및 창업진흥원이 운영하는 메이크올 사이트에 등록되어 있고 사용자들이 확인할 수 있는 오픈 프로젝트 정보. 프로젝트명, 대표동영상 url, 프로젝트 기간, 진행일, 진행장소, 등록일
Author창업진흥원
URLhttps://www.data.go.kr/data/15088124/fileData.do

Alerts

Dataset has 34 (4.9%) duplicate rowsDuplicates
대표 동영상 링크 has 649 (93.8%) missing valuesMissing
진행 장소 has 309 (44.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:49:34.649784
Analysis finished2023-12-12 21:49:35.601943
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

프로젝트 명
Text

Distinct589
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-13T06:49:35.917182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length40
Mean length20.020231
Min length2

Characters and Unicode

Total characters13854
Distinct characters640
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

Unique534 ?
Unique (%)77.2%

Sample

1st row[韓·中·日 Fashion Wearable Make-A-Thon] Team A
2nd row[韓·中·日 Fashion Wearable Make-A-Thon] Team B
3rd row[韓·中·日 Fashion Wearable Make-A-Thon] Team C
4th row[韓·中·日 Fashion Wearable Make-A-Thon] Team D
5th row[韓·中·日 Fashion Wearable Make-A-Thon] Team E
ValueCountFrequency (%)
메이커 101
 
3.3%
만들기 89
 
2.9%
활용한 80
 
2.6%
제작 54
 
1.8%
위한 48
 
1.6%
프로젝트 46
 
1.5%
유니맷을 34
 
1.1%
33
 
1.1%
안전한 32
 
1.1%
공작기계 32
 
1.1%
Other values (1450) 2482
81.9%
2023-12-13T06:49:36.533951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2361
 
17.0%
이 370
 
2.7%
기 256
 
1.8%
한 234
 
1.7%
커 206
 
1.5%
메 202
 
1.5%
프 179
 
1.3%
로 173
 
1.2%
트 157
 
1.1%
용 146
 
1.1%
Other values (630) 9570
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8880
64.1%
Space Separator 2361
 
17.0%
Lowercase Letter 992
 
7.2%
Uppercase Letter 839
 
6.1%
Decimal Number 305
 
2.2%
Other Punctuation 133
 
1.0%
Open Punctuation 121
 
0.9%
Close Punctuation 120
 
0.9%
Dash Punctuation 60
 
0.4%
Math Symbol 18
 
0.1%
Other values (3) 25
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 370
 
4.2%
기 256
 
2.9%
한 234
 
2.6%
커 206
 
2.3%
메 202
 
2.3%
프 179
 
2.0%
로 173
 
1.9%
트 157
 
1.8%
용 146
 
1.6%
작 144
 
1.6%
Other values (547) 6813
76.7%
Uppercase Letter
ValueCountFrequency (%)
D 106
 
12.6%
M 88
 
10.5%
T 62
 
7.4%
E 55
 
6.6%
A 55
 
6.6%
R 50
 
6.0%
I 43
 
5.1%
C 39
 
4.6%
O 39
 
4.6%
S 36
 
4.3%
Other values (15) 266
31.7%
Lowercase Letter
ValueCountFrequency (%)
e 145
14.6%
a 142
14.3%
r 95
9.6%
o 89
 
9.0%
n 59
 
5.9%
t 56
 
5.6%
i 55
 
5.5%
k 50
 
5.0%
m 38
 
3.8%
h 37
 
3.7%
Other values (14) 226
22.8%
Decimal Number
ValueCountFrequency (%)
3 87
28.5%
1 63
20.7%
2 57
18.7%
0 46
15.1%
9 18
 
5.9%
7 13
 
4.3%
8 9
 
3.0%
4 8
 
2.6%
6 3
 
1.0%
5 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 38
28.6%
! 22
16.5%
· 21
15.8%
' 16
12.0%
. 13
 
9.8%
/ 9
 
6.8%
& 7
 
5.3%
: 5
 
3.8%
# 2
 
1.5%
Math Symbol
ValueCountFrequency (%)
+ 10
55.6%
~ 6
33.3%
< 1
 
5.6%
> 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 94
77.7%
[ 27
 
22.3%
Close Punctuation
ValueCountFrequency (%)
) 93
77.5%
] 27
 
22.5%
Final Punctuation
ValueCountFrequency (%)
’ 4
66.7%
” 2
33.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
66.7%
“ 2
33.3%
Space Separator
ValueCountFrequency (%)
2361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8849
63.9%
Common 3143
 
22.7%
Latin 1831
 
13.2%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 370
 
4.2%
기 256
 
2.9%
한 234
 
2.6%
커 206
 
2.3%
메 202
 
2.3%
프 179
 
2.0%
로 173
 
2.0%
트 157
 
1.8%
용 146
 
1.6%
작 144
 
1.6%
Other values (541) 6782
76.6%
Latin
ValueCountFrequency (%)
e 145
 
7.9%
a 142
 
7.8%
D 106
 
5.8%
r 95
 
5.2%
o 89
 
4.9%
M 88
 
4.8%
T 62
 
3.4%
n 59
 
3.2%
t 56
 
3.1%
E 55
 
3.0%
Other values (39) 934
51.0%
Common
ValueCountFrequency (%)
2361
75.1%
( 94
 
3.0%
) 93
 
3.0%
3 87
 
2.8%
1 63
 
2.0%
- 60
 
1.9%
2 57
 
1.8%
0 46
 
1.5%
, 38
 
1.2%
[ 27
 
0.9%
Other values (24) 217
 
6.9%
Han
ValueCountFrequency (%)
中 9
29.0%
日 9
29.0%
韓 9
29.0%
高 2
 
6.5%
畵 1
 
3.2%
樂 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8849
63.9%
ASCII 4941
35.7%
CJK 31
 
0.2%
None 21
 
0.2%
Punctuation 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2361
47.8%
e 145
 
2.9%
a 142
 
2.9%
D 106
 
2.1%
r 95
 
1.9%
( 94
 
1.9%
) 93
 
1.9%
o 89
 
1.8%
M 88
 
1.8%
3 87
 
1.8%
Other values (68) 1641
33.2%
Hangul
ValueCountFrequency (%)
이 370
 
4.2%
기 256
 
2.9%
한 234
 
2.6%
커 206
 
2.3%
메 202
 
2.3%
프 179
 
2.0%
로 173
 
2.0%
트 157
 
1.8%
용 146
 
1.6%
작 144
 
1.6%
Other values (541) 6782
76.6%
None
ValueCountFrequency (%)
· 21
100.0%
CJK
ValueCountFrequency (%)
中 9
29.0%
日 9
29.0%
韓 9
29.0%
高 2
 
6.5%
畵 1
 
3.2%
樂 1
 
3.2%
Punctuation
ValueCountFrequency (%)
’ 4
33.3%
‘ 4
33.3%
” 2
16.7%
“ 2
16.7%

대표 동영상 링크
Text

MISSING 

Distinct41
Distinct (%)95.3%
Missing649
Missing (%)93.8%
Memory size5.5 KiB
2023-12-13T06:49:36.792942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length28
Mean length32.093023
Min length25

Characters and Unicode

Total characters1380
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)90.7%

Sample

1st rowhttps://youtu.be/tRPzKAf9m4g
2nd rowhttps://youtu.be/GUnx3fT0Cg4
3rd rowhttps://youtu.be/79cDJkTLcjY
4th rowhttps://youtu.be/gJ4-MysLtfg
5th rowhttps://www.yputube.com/channel/UCS-7GZaYi-BSTM70noLgu1Q
ValueCountFrequency (%)
https://youtu.be/quvpedfedsc 2
 
4.7%
https://youtu.be/enuxlxc-sb0 2
 
4.7%
https://youtu.be/qteqk2jbkg4 1
 
2.3%
https://www.facebook.com/networkformaker/videos/240378103255742 1
 
2.3%
https://youtu.be/_d_rpy1_k38 1
 
2.3%
https://youtu.be/a6c6yq-lzju 1
 
2.3%
https://www.youtube.com/watchv=kswhsxywbzk 1
 
2.3%
https://www.youtube.com/channel/ucvi-anvhey422tamykgxg5w 1
 
2.3%
https://youtu.be/kt6bp5q0l7s 1
 
2.3%
https://righttorepair.io 1
 
2.3%
Other values (31) 31
72.1%
2023-12-13T06:49:37.219613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 143
 
10.4%
/ 134
 
9.7%
u 85
 
6.2%
o 63
 
4.6%
e 62
 
4.5%
h 57
 
4.1%
s 55
 
4.0%
. 53
 
3.8%
p 51
 
3.7%
y 50
 
3.6%
Other values (58) 627
45.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 861
62.4%
Other Punctuation 230
 
16.7%
Uppercase Letter 165
 
12.0%
Decimal Number 95
 
6.9%
Dash Punctuation 15
 
1.1%
Connector Punctuation 8
 
0.6%
Math Symbol 6
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 143
16.6%
u 85
9.9%
o 63
 
7.3%
e 62
 
7.2%
h 57
 
6.6%
s 55
 
6.4%
p 51
 
5.9%
y 50
 
5.8%
b 47
 
5.5%
w 44
 
5.1%
Other values (16) 204
23.7%
Uppercase Letter
ValueCountFrequency (%)
L 12
 
7.3%
S 12
 
7.3%
K 9
 
5.5%
M 9
 
5.5%
D 9
 
5.5%
Q 8
 
4.8%
A 8
 
4.8%
Y 8
 
4.8%
F 7
 
4.2%
E 7
 
4.2%
Other values (16) 76
46.1%
Decimal Number
ValueCountFrequency (%)
4 14
14.7%
0 13
13.7%
2 11
11.6%
8 10
10.5%
7 9
9.5%
9 9
9.5%
5 8
8.4%
6 8
8.4%
3 7
7.4%
1 6
6.3%
Other Punctuation
ValueCountFrequency (%)
/ 134
58.3%
. 53
 
23.0%
: 43
 
18.7%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1026
74.3%
Common 354
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 143
 
13.9%
u 85
 
8.3%
o 63
 
6.1%
e 62
 
6.0%
h 57
 
5.6%
s 55
 
5.4%
p 51
 
5.0%
y 50
 
4.9%
b 47
 
4.6%
w 44
 
4.3%
Other values (42) 369
36.0%
Common
ValueCountFrequency (%)
/ 134
37.9%
. 53
 
15.0%
: 43
 
12.1%
- 15
 
4.2%
4 14
 
4.0%
0 13
 
3.7%
2 11
 
3.1%
8 10
 
2.8%
7 9
 
2.5%
9 9
 
2.5%
Other values (6) 43
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 143
 
10.4%
/ 134
 
9.7%
u 85
 
6.2%
o 63
 
4.6%
e 62
 
4.5%
h 57
 
4.1%
s 55
 
4.0%
. 53
 
3.8%
p 51
 
3.7%
y 50
 
3.6%
Other values (58) 627
45.4%

시작 프로젝트 기간
Date

Distinct230
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2015-08-22 00:00:00
Maximum2021-01-11 00:00:00
2023-12-13T06:49:37.351088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:49:37.482464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료 프로젝트 기간
Date

Distinct179
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2015-11-22 00:00:00
Maximum2024-12-31 00:00:00
2023-12-13T06:49:37.620221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:49:37.727783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

진행 장소
Text

MISSING 

Distinct296
Distinct (%)77.3%
Missing309
Missing (%)44.7%
Memory size5.5 KiB
2023-12-13T06:49:38.216474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length40
Mean length13.344648
Min length2

Characters and Unicode

Total characters5111
Distinct characters379
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

Unique260 ?
Unique (%)67.9%

Sample

1st row한국과학창의재단
2nd row한국과학창의재단
3rd row한국과학창의재단
4th row한국과학창의재단
5th row한국과학창의재단
ValueCountFrequency (%)
한국과학창의재단 36
 
3.5%
메이커랜드 31
 
3.0%
국립과천과학관 25
 
2.4%
및 17
 
1.6%
서울 16
 
1.5%
5층 14
 
1.3%
재단 11
 
1.1%
학교 11
 
1.1%
중구 10
 
1.0%
과천국립과학관 9
 
0.9%
Other values (537) 858
82.7%
2023-12-13T06:49:38.618864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
659
 
12.9%
학 211
 
4.1%
교 143
 
2.8%
과 132
 
2.6%
이 115
 
2.3%
대 111
 
2.2%
실 105
 
2.1%
국 86
 
1.7%
스 81
 
1.6%
창 77
 
1.5%
Other values (369) 3391
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3903
76.4%
Space Separator 659
 
12.9%
Decimal Number 237
 
4.6%
Lowercase Letter 91
 
1.8%
Uppercase Letter 63
 
1.2%
Other Punctuation 62
 
1.2%
Open Punctuation 39
 
0.8%
Close Punctuation 38
 
0.7%
Dash Punctuation 19
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 211
 
5.4%
교 143
 
3.7%
과 132
 
3.4%
이 115
 
2.9%
대 111
 
2.8%
실 105
 
2.7%
국 86
 
2.2%
스 81
 
2.1%
창 77
 
2.0%
의 71
 
1.8%
Other values (308) 2771
71.0%
Lowercase Letter
ValueCountFrequency (%)
a 14
15.4%
e 10
11.0%
o 8
 
8.8%
r 8
 
8.8%
b 7
 
7.7%
l 6
 
6.6%
t 5
 
5.5%
i 4
 
4.4%
n 4
 
4.4%
k 4
 
4.4%
Other values (11) 21
23.1%
Uppercase Letter
ValueCountFrequency (%)
C 9
14.3%
B 8
12.7%
S 5
 
7.9%
D 5
 
7.9%
E 4
 
6.3%
P 4
 
6.3%
A 4
 
6.3%
I 4
 
6.3%
F 3
 
4.8%
T 3
 
4.8%
Other values (10) 14
22.2%
Decimal Number
ValueCountFrequency (%)
1 44
18.6%
2 42
17.7%
4 29
12.2%
5 26
11.0%
0 19
8.0%
6 19
8.0%
7 19
8.0%
3 19
8.0%
8 11
 
4.6%
9 9
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 46
74.2%
/ 9
 
14.5%
& 3
 
4.8%
: 2
 
3.2%
' 1
 
1.6%
. 1
 
1.6%
Space Separator
ValueCountFrequency (%)
659
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3903
76.4%
Common 1054
 
20.6%
Latin 154
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 211
 
5.4%
교 143
 
3.7%
과 132
 
3.4%
이 115
 
2.9%
대 111
 
2.8%
실 105
 
2.7%
국 86
 
2.2%
스 81
 
2.1%
창 77
 
2.0%
의 71
 
1.8%
Other values (308) 2771
71.0%
Latin
ValueCountFrequency (%)
a 14
 
9.1%
e 10
 
6.5%
C 9
 
5.8%
o 8
 
5.2%
B 8
 
5.2%
r 8
 
5.2%
b 7
 
4.5%
l 6
 
3.9%
S 5
 
3.2%
D 5
 
3.2%
Other values (31) 74
48.1%
Common
ValueCountFrequency (%)
659
62.5%
, 46
 
4.4%
1 44
 
4.2%
2 42
 
4.0%
( 39
 
3.7%
) 38
 
3.6%
4 29
 
2.8%
5 26
 
2.5%
0 19
 
1.8%
6 19
 
1.8%
Other values (10) 93
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3903
76.4%
ASCII 1208
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
659
54.6%
, 46
 
3.8%
1 44
 
3.6%
2 42
 
3.5%
( 39
 
3.2%
) 38
 
3.1%
4 29
 
2.4%
5 26
 
2.2%
0 19
 
1.6%
6 19
 
1.6%
Other values (51) 247
 
20.4%
Hangul
ValueCountFrequency (%)
학 211
 
5.4%
교 143
 
3.7%
과 132
 
3.4%
이 115
 
2.9%
대 111
 
2.8%
실 105
 
2.7%
국 86
 
2.2%
스 81
 
2.1%
창 77
 
2.0%
의 71
 
1.8%
Other values (308) 2771
71.0%

등록일
Date

Distinct222
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2015-09-16 00:00:00
Maximum2020-12-30 00:00:00
2023-12-13T06:49:38.745229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:49:38.872453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-13T06:49:35.288179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:49:35.444256image/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.
2023-12-13T06:49:35.555375image/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

프로젝트 명대표 동영상 링크시작 프로젝트 기간종료 프로젝트 기간진행 장소등록일
0[韓·中·日 Fashion Wearable Make-A-Thon] Team A<NA>2015-08-232015-11-22<NA>2015-09-16
1[韓·中·日 Fashion Wearable Make-A-Thon] Team B<NA>2015-08-222015-11-22<NA>2015-09-16
2[韓·中·日 Fashion Wearable Make-A-Thon] Team C<NA>2015-08-222015-11-22<NA>2015-09-16
3[韓·中·日 Fashion Wearable Make-A-Thon] Team D<NA>2015-08-222015-11-22<NA>2015-09-16
4[韓·中·日 Fashion Wearable Make-A-Thon] Team E<NA>2015-08-222015-11-22<NA>2015-09-16
5[韓·中·日 Fashion Wearable Make-A-Thon] Team F<NA>2015-08-222015-11-22<NA>2015-09-16
6[韓·中·日 Fashion Wearable Make-A-Thon] Team G<NA>2015-08-222015-11-22<NA>2015-09-16
7[韓·中·日 Fashion Wearable Make-A-Thon] Team H<NA>2015-08-222015-11-22<NA>2015-09-16
8[韓·中·日 Fashion Wearable Make-A-Thon] Team I<NA>2015-08-222015-11-22<NA>2015-09-16
9[1st. Let's MAKE open project] 라즈 하이파이 오디오 만들기<NA>2016-04-012016-12-31<NA>2016-04-22
프로젝트 명대표 동영상 링크시작 프로젝트 기간종료 프로젝트 기간진행 장소등록일
6823D프린터를 활용한 도자기 제작<NA>2019-06-012019-12-31<NA>2020-03-28
683미세먼지 정화하는 스마트트리<NA>2019-06-012020-12-31<NA>2020-04-02
6842020 화성탐사선 큐리오시티제작 프로젝트 - 2024년까지 매년 모집<NA>2019-11-302024-12-31<NA>2020-07-11
685산불 감시를 위한 무인항공기 개발 및 제작<NA>2020-01-012020-12-31<NA>2020-07-28
686덕분에 챌린지 3D<NA>2020-07-072021-07-07<NA>2020-09-18
687우리반 선생님의 똑똑한 메이커 테이블<NA>2020-07-062020-12-31<NA>2020-09-23
688시각장애인을 위한 메이커<NA>2020-07-012020-12-31<NA>2020-09-24
689시각장애인을 위한 메이커<NA>2020-07-012020-12-31<NA>2020-09-24
690시각장애인을 위한 메이커<NA>2020-07-012020-12-31<NA>2020-09-24
691픽셀아트를 위한 블록 자동 산출 프로그램 및 패키지 제작<NA>2020-06-012020-12-31<NA>2020-12-30

Duplicate rows

Most frequently occurring

프로젝트 명대표 동영상 링크시작 프로젝트 기간종료 프로젝트 기간진행 장소등록일# duplicates
14부유식 조파장치<NA>2018-10-182019-02-28<NA>2019-02-255
33D프린팅 디자인 스튜디오<NA>2018-08-052018-12-20<NA>2019-01-143
9도서산간 찾아가는 메이커교육( 이포초등학교 편)<NA>2017-11-282018-02-28경기 여주 이포초등학교2018-03-203
11메이커교육연구회<NA>2018-10-152019-02-28<NA>2019-02-223
17시각장애인을 위한 메이커<NA>2020-07-012020-12-31<NA>2020-09-243
31일렉트로닉 오토마타<NA>2018-10-182019-02-28<NA>2019-02-083
0#메이커서당 시리즈1,2,3<NA>2017-09-092017-10-01대전광역시 선화동 27-3 킹크랩 스페이스2018-03-202
13D를 통한 입체적 메이커 문화 확산<NA>2019-06-012019-12-31<NA>2020-01-222
23D프린터를 활용한 업사이클 커피도구 제작<NA>2018-10-182019-02-28<NA>2019-02-282
4GPU 시뮬레이션을 활용한 LED큐브 조명<NA>2018-11-012019-02-28<NA>2019-02-252