Overview

Dataset statistics

Number of variables8
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.6%
Total size in memory10.3 KiB
Average record size in memory64.8 B

Variable types

Text2
Categorical6

Dataset

Description중소벤처기업부 및 창업진흥원이 운영하영 메이크올 사이트에 등록되어 있는 메이커 프로그램을 확인할 수 있는 정보. 프로그램명, 모집기간, 운영기간, 운영지역, 교육대상, 홈페이지 링크, 참가비, 기관명, 등록일
Author창업진흥원
URLhttps://www.data.go.kr/data/15088081/fileData.do

Alerts

등록일 has constant value ""Constant
Dataset has 1 (0.6%) duplicate rowsDuplicates
모집기간 is highly overall correlated with 홈페이지High correlation
운영지역 is highly overall correlated with 홈페이지High correlation
교육대상 is highly overall correlated with 홈페이지High correlation
홈페이지 is highly overall correlated with 모집기간 and 2 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 16:10:32.226494
Analysis finished2023-12-12 16:10:32.948362
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct154
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:10:33.124442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length25
Mean length12.839506
Min length4

Characters and Unicode

Total characters2080
Distinct characters323
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)90.7%

Sample

1st row3D프린터 모델링 프로그램 라이노(Rhino)
2nd row3D프린터 설계제작
3rd row3D프린터 설계제작 공유
4th row3D프린터 오픈소스 REPRAP
5th row3D프린터 전기조립 기초
ValueCountFrequency (%)
3d프린터 17
 
3.8%
무한상상 15
 
3.4%
3d 13
 
2.9%
만들기 12
 
2.7%
프린터 8
 
1.8%
나만의 7
 
1.6%
만드는 7
 
1.6%
앱인벤터 5
 
1.1%
3d프린팅 4
 
0.9%
4
 
0.9%
Other values (268) 353
79.3%
2023-12-13T01:10:33.466875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
 
13.6%
3 51
 
2.5%
49
 
2.4%
D 47
 
2.3%
46
 
2.2%
41
 
2.0%
39
 
1.9%
38
 
1.8%
35
 
1.7%
34
 
1.6%
Other values (313) 1417
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1412
67.9%
Space Separator 283
 
13.6%
Lowercase Letter 130
 
6.2%
Uppercase Letter 107
 
5.1%
Decimal Number 82
 
3.9%
Close Punctuation 21
 
1.0%
Open Punctuation 21
 
1.0%
Other Punctuation 15
 
0.7%
Dash Punctuation 7
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
3.5%
46
 
3.3%
41
 
2.9%
39
 
2.8%
38
 
2.7%
35
 
2.5%
34
 
2.4%
34
 
2.4%
31
 
2.2%
29
 
2.1%
Other values (253) 1036
73.4%
Uppercase Letter
ValueCountFrequency (%)
D 47
43.9%
R 8
 
7.5%
S 7
 
6.5%
I 7
 
6.5%
A 6
 
5.6%
E 5
 
4.7%
P 4
 
3.7%
U 3
 
2.8%
Y 3
 
2.8%
F 2
 
1.9%
Other values (11) 15
 
14.0%
Lowercase Letter
ValueCountFrequency (%)
e 18
13.8%
r 15
11.5%
t 13
10.0%
n 10
 
7.7%
a 10
 
7.7%
c 9
 
6.9%
i 9
 
6.9%
s 6
 
4.6%
d 6
 
4.6%
m 5
 
3.8%
Other values (11) 29
22.3%
Decimal Number
ValueCountFrequency (%)
3 51
62.2%
2 12
 
14.6%
1 12
 
14.6%
0 4
 
4.9%
8 2
 
2.4%
7 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
! 9
60.0%
, 4
26.7%
. 1
 
6.7%
& 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 14
66.7%
] 7
33.3%
Open Punctuation
ValueCountFrequency (%)
( 14
66.7%
[ 7
33.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1412
67.9%
Common 431
 
20.7%
Latin 237
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
3.5%
46
 
3.3%
41
 
2.9%
39
 
2.8%
38
 
2.7%
35
 
2.5%
34
 
2.4%
34
 
2.4%
31
 
2.2%
29
 
2.1%
Other values (253) 1036
73.4%
Latin
ValueCountFrequency (%)
D 47
19.8%
e 18
 
7.6%
r 15
 
6.3%
t 13
 
5.5%
n 10
 
4.2%
a 10
 
4.2%
c 9
 
3.8%
i 9
 
3.8%
R 8
 
3.4%
S 7
 
3.0%
Other values (32) 91
38.4%
Common
ValueCountFrequency (%)
283
65.7%
3 51
 
11.8%
) 14
 
3.2%
( 14
 
3.2%
2 12
 
2.8%
1 12
 
2.8%
! 9
 
2.1%
[ 7
 
1.6%
- 7
 
1.6%
] 7
 
1.6%
Other values (8) 15
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1412
67.9%
ASCII 668
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
42.4%
3 51
 
7.6%
D 47
 
7.0%
e 18
 
2.7%
r 15
 
2.2%
) 14
 
2.1%
( 14
 
2.1%
t 13
 
1.9%
2 12
 
1.8%
1 12
 
1.8%
Other values (50) 189
28.3%
Hangul
ValueCountFrequency (%)
49
 
3.5%
46
 
3.3%
41
 
2.9%
39
 
2.8%
38
 
2.7%
35
 
2.5%
34
 
2.4%
34
 
2.4%
31
 
2.2%
29
 
2.1%
Other values (253) 1036
73.4%

모집기간
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
연중상시
42 
2018-01
18 
<NA>
11 
09월
08월
Other values (42)
75 

Length

Max length11
Median length10
Mean length4.9753086
Min length2

Unique

Unique32 ?
Unique (%)19.8%

Sample

1st row2018-01
2nd row2018-01
3rd row2018-01
4th row2018-01
5th row2018-01

Common Values

ValueCountFrequency (%)
연중상시 42
25.9%
2018-01 18
 
11.1%
<NA> 11
 
6.8%
09월 8
 
4.9%
08월 8
 
4.9%
07월 7
 
4.3%
10월 6
 
3.7%
05월 6
 
3.7%
2018-04 5
 
3.1%
매월 5
 
3.1%
Other values (37) 46
28.4%

Length

2023-12-13T01:10:33.575000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중상시 42
25.6%
2018-01 18
 
11.0%
na 11
 
6.7%
09월 8
 
4.9%
08월 8
 
4.9%
07월 7
 
4.3%
10월 7
 
4.3%
05월 6
 
3.7%
매월 6
 
3.7%
2018-04 5
 
3.0%
Other values (36) 46
28.0%

운영지역
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
대구
32 
서울/경기
30 
부산
20 
서울
18 
울산
14 
Other values (19)
48 

Length

Max length8
Median length2
Mean length3.2592593
Min length2

Unique

Unique10 ?
Unique (%)6.2%

Sample

1st row서울/경기
2nd row서울/경기
3rd row서울/경기
4th row서울/경기
5th row서울/경기

Common Values

ValueCountFrequency (%)
대구 32
19.8%
서울/경기 30
18.5%
부산 20
12.3%
서울 18
11.1%
울산 14
8.6%
대전 8
 
4.9%
경기 안산시 8
 
4.9%
인천 7
 
4.3%
부산/경남 3
 
1.9%
경기 수원시 3
 
1.9%
Other values (14) 19
11.7%

Length

2023-12-13T01:10:33.666394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구 32
17.4%
서울/경기 30
16.3%
부산 20
10.9%
서울 18
9.8%
울산 14
7.6%
경기 11
 
6.0%
대전 8
 
4.3%
안산시 8
 
4.3%
인천 7
 
3.8%
강원 4
 
2.2%
Other values (20) 32
17.4%

교육대상
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
교원
57 
42 
21 
초·중·고
20 
초(고학년)·중
Other values (4)
15 

Length

Max length11
Median length8
Mean length2.308642
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
교원 57
35.2%
42
25.9%
21
 
13.0%
초·중·고 20
 
12.3%
초(고학년)·중 7
 
4.3%
중·고 6
 
3.7%
6
 
3.7%
초·중 2
 
1.2%
초·중·고 과학동아리 1
 
0.6%

Length

2023-12-13T01:10:34.057688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:10:34.176279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교원 57
35.0%
42
25.8%
21
 
12.9%
초·중·고 21
 
12.9%
초(고학년)·중 7
 
4.3%
중·고 6
 
3.7%
6
 
3.7%
초·중 2
 
1.2%
과학동아리 1
 
0.6%

홈페이지
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
http://cafe.daum.net/diylab
17 
http://www.dnsm.or.kr
15 
http://cafe.naver.com/pulib123
14 
http://www.ideaall.net/USM.do?req_site_id=USM
10 
http://www.siminlib.go.kr/
 
9
Other values (43)
97 

Length

Max length59
Median length42
Mean length27.450617
Min length7

Unique

Unique21 ?
Unique (%)13.0%

Sample

1st rowhttp://cafe.daum.net/diylab
2nd rowhttp://cafe.daum.net/diylab
3rd rowhttp://cafe.daum.net/diylab
4th rowhttp://cafe.daum.net/diylab
5th rowhttp://cafe.daum.net/diylab

Common Values

ValueCountFrequency (%)
http://cafe.daum.net/diylab 17
 
10.5%
http://www.dnsm.or.kr 15
 
9.3%
http://cafe.naver.com/pulib123 14
 
8.6%
http://www.ideaall.net/USM.do?req_site_id=USM 10
 
6.2%
http://www.siminlib.go.kr/ 9
 
5.6%
http://cafe.naver.com/makercoop 9
 
5.6%
http://www.sciport.or.kr 7
 
4.3%
http://www.gtp.or.kr 6
 
3.7%
http://fablab-seoul.org/ 5
 
3.1%
http://www.makezone.co.kr 4
 
2.5%
Other values (38) 66
40.7%

Length

2023-12-13T01:10:34.293891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
http://cafe.daum.net/diylab 17
 
10.5%
http://www.dnsm.or.kr 15
 
9.3%
http://cafe.naver.com/pulib123 14
 
8.6%
http://www.ideaall.net/usm.do?req_site_id=usm 10
 
6.2%
http://www.siminlib.go.kr 9
 
5.6%
http://cafe.naver.com/makercoop 9
 
5.6%
http://www.gtp.or.kr 8
 
4.9%
http://www.sciport.or.kr 7
 
4.3%
http://fablab-seoul.org 5
 
3.1%
http://www.bpy.or.kr 4
 
2.5%
Other values (37) 64
39.5%

참가비
Categorical

Distinct28
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
무료
83 
30000원
18 
문의
12 
15000원
 
5
35000원
 
4
Other values (23)
40 

Length

Max length16
Median length2
Mean length3.8888889
Min length2

Unique

Unique14 ?
Unique (%)8.6%

Sample

1st row30000원
2nd row30000원
3rd row30000원
4th row30000원
5th row30000원

Common Values

ValueCountFrequency (%)
무료 83
51.2%
30000원 18
 
11.1%
문의 12
 
7.4%
15000원 5
 
3.1%
35000원 4
 
2.5%
50000원 4
 
2.5%
8000원 4
 
2.5%
60000원 3
 
1.9%
100000원 3
 
1.9%
100000원 (재료비 포함) 3
 
1.9%
Other values (18) 23
 
14.2%

Length

2023-12-13T01:10:34.398244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 83
49.1%
30000원 18
 
10.7%
문의 12
 
7.1%
100000원 6
 
3.6%
15000원 5
 
3.0%
35000원 4
 
2.4%
50000원 4
 
2.4%
8000원 4
 
2.4%
55000원 4
 
2.4%
60000원 3
 
1.8%
Other values (19) 26
 
15.4%
Distinct53
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:10:34.600409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10.320988
Min length3

Characters and Unicode

Total characters1672
Distinct characters177
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)15.4%

Sample

1st rowDIY연구소
2nd rowDIY연구소
3rd rowDIY연구소
4th rowDIY연구소
5th rowDIY연구소
ValueCountFrequency (%)
무한상상실 60
22.3%
diy연구소 17
 
6.3%
국립대구과학관 15
 
5.6%
울산과학관 12
 
4.5%
메이커쿱 9
 
3.3%
협동조합 9
 
3.3%
부산광역시립시민도서관 9
 
3.3%
경기테크노파크 8
 
3.0%
국립부산과학관 7
 
2.6%
서울 7
 
2.6%
Other values (64) 116
43.1%
2023-12-13T01:10:34.903918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
7.3%
107
 
6.4%
65
 
3.9%
60
 
3.6%
60
 
3.6%
60
 
3.6%
48
 
2.9%
47
 
2.8%
41
 
2.5%
35
 
2.1%
Other values (167) 1027
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1434
85.8%
Space Separator 107
 
6.4%
Uppercase Letter 92
 
5.5%
Lowercase Letter 31
 
1.9%
Other Symbol 4
 
0.2%
Dash Punctuation 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
122
 
8.5%
65
 
4.5%
60
 
4.2%
60
 
4.2%
60
 
4.2%
48
 
3.3%
47
 
3.3%
41
 
2.9%
35
 
2.4%
35
 
2.4%
Other values (142) 861
60.0%
Uppercase Letter
ValueCountFrequency (%)
I 26
28.3%
Y 20
21.7%
D 17
18.5%
T 9
 
9.8%
C 6
 
6.5%
X 3
 
3.3%
Z 3
 
3.3%
K 2
 
2.2%
R 2
 
2.2%
E 2
 
2.2%
Other values (2) 2
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 6
19.4%
e 6
19.4%
s 3
9.7%
p 3
9.7%
c 3
9.7%
k 3
9.7%
r 3
9.7%
m 3
9.7%
d 1
 
3.2%
Space Separator
ValueCountFrequency (%)
107
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1438
86.0%
Latin 123
 
7.4%
Common 111
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
122
 
8.5%
65
 
4.5%
60
 
4.2%
60
 
4.2%
60
 
4.2%
48
 
3.3%
47
 
3.3%
41
 
2.9%
35
 
2.4%
35
 
2.4%
Other values (143) 865
60.2%
Latin
ValueCountFrequency (%)
I 26
21.1%
Y 20
16.3%
D 17
13.8%
T 9
 
7.3%
a 6
 
4.9%
e 6
 
4.9%
C 6
 
4.9%
s 3
 
2.4%
p 3
 
2.4%
c 3
 
2.4%
Other values (11) 24
19.5%
Common
ValueCountFrequency (%)
107
96.4%
- 3
 
2.7%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1434
85.8%
ASCII 234
 
14.0%
None 4
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
122
 
8.5%
65
 
4.5%
60
 
4.2%
60
 
4.2%
60
 
4.2%
48
 
3.3%
47
 
3.3%
41
 
2.9%
35
 
2.4%
35
 
2.4%
Other values (142) 861
60.0%
ASCII
ValueCountFrequency (%)
107
45.7%
I 26
 
11.1%
Y 20
 
8.5%
D 17
 
7.3%
T 9
 
3.8%
a 6
 
2.6%
e 6
 
2.6%
C 6
 
2.6%
s 3
 
1.3%
- 3
 
1.3%
Other values (14) 31
 
13.2%
None
ValueCountFrequency (%)
4
100.0%

등록일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-01-05
162 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-01-05
2nd row2018-01-05
3rd row2018-01-05
4th row2018-01-05
5th row2018-01-05

Common Values

ValueCountFrequency (%)
2018-01-05 162
100.0%

Length

2023-12-13T01:10:35.018371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:10:35.103785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-01-05 162
100.0%

Correlations

2023-12-13T01:10:35.157662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집기간운영지역교육대상홈페이지참가비기관명
모집기간1.0000.9600.8150.9710.9440.984
운영지역0.9601.0000.8210.9980.7370.999
교육대상0.8150.8211.0000.9360.5330.935
홈페이지0.9710.9980.9361.0000.9101.000
참가비0.9440.7370.5330.9101.0000.954
기관명0.9840.9990.9351.0000.9541.000
2023-12-13T01:10:35.247981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집기간참가비홈페이지교육대상운영지역
모집기간1.0000.4430.5460.4060.495
참가비0.4431.0000.3870.2120.261
홈페이지0.5460.3871.0000.5950.792
교육대상0.4060.2120.5951.0000.462
운영지역0.4950.2610.7920.4621.000
2023-12-13T01:10:35.333271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집기간운영지역교육대상홈페이지참가비
모집기간1.0000.4950.4060.5460.443
운영지역0.4951.0000.4620.7920.261
교육대상0.4060.4621.0000.5950.212
홈페이지0.5460.7920.5951.0000.387
참가비0.4430.2610.2120.3871.000

Missing values

2023-12-13T01:10:32.807671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:10:32.910241image/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

프로그램명모집기간운영지역교육대상홈페이지참가비기관명등록일
03D프린터 모델링 프로그램 라이노(Rhino)2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
13D프린터 설계제작2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
23D프린터 설계제작 공유2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
33D프린터 오픈소스 REPRAP2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
43D프린터 전기조립 기초2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
53D프린터 전자의수 제작2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
63D프린터 프로그램2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
73D프린터로 나만의 조명 만들기2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
83D프린터로 드론 만들기2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
93D프린터로 홀로그램 만들기2018-01서울/경기교원http://cafe.daum.net/diylab30000원DIY연구소2018-01-05
프로그램명모집기간운영지역교육대상홈페이지참가비기관명등록일
152홈팩토리마스터연중상시서울초·중·고http://3ditems.net무료㈜쓰리디아이템즈2018-01-05
153미니 웰컴 투 메이커월드 <나도 메이커, 로봇을 만들어 보는 시간>연중상시서울/경기초·중·고http://www.talhwancompany.com100000원㈜탈환2018-01-05
154Fab teen11월,05월서울초·중·고http://fablab-seoul.org/700000원팹랩 서울2018-01-05
1553Dprinter 장비 워크샵연중상시서울초·중·고http://fablab-seoul.org/35000원팹랩 서울2018-01-05
156laser cutter 장비 워크샵연중상시서울초·중·고http://fablab-seoul.org/35000원팹랩 서울2018-01-05
157advenced tinker<NA>서울/경기중·고http://www.makezone.co.kr110000원한국ICT교육협동조합2018-01-05
158magic tinker<NA>서울/경기http://www.makezone.co.kr55000원한국ICT교육협동조합2018-01-05
159making school<NA>서울/경기초·중·고http://www.makezone.co.kr프로젝트마다 다름한국ICT교육협동조합2018-01-05
160피넛과 함께하는 메이커스<NA>서울/경기초·중·고http://www.makezone.co.kr150000원한국ICT교육협동조합2018-01-05
161메이커체험교실01월,07월,10월강원 영서http://blog.naver.com/hifac무료한라대학교 아이디어팩토리2018-01-05

Duplicate rows

Most frequently occurring

프로그램명모집기간운영지역교육대상홈페이지참가비기관명등록일# duplicates
0여름방학 특강07월대구http://www.dalseolib.kr무료달서어린이도서관 무한상상실2018-01-053