Overview

Dataset statistics

Number of variables5
Number of observations387
Missing cells284
Missing cells (%)14.7%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory15.2 KiB
Average record size in memory40.3 B

Variable types

Text4
DateTime1

Dataset

Description중소벤처기업부 및 창업진흥원이 운영하는 메이크올 사이트에 등록되어 있는 메이커스페이스 정보를 확인할 수 있는 정보. 메이커스페이스명, 공간명, 용도, 공간내 구비기기, 등록일
Author창업진흥원
URLhttps://www.data.go.kr/data/15088080/fileData.do

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
용도 has 266 (68.7%) missing valuesMissing
공간내 구비기기 has 18 (4.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:28:04.902922
Analysis finished2023-12-12 15:28:06.103882
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

메이커스페이스명
Text

Distinct96
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T00:28:06.284385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length12.423773
Min length2

Characters and Unicode

Total characters4808
Distinct characters240
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)5.4%

Sample

1st row리빙콘텐츠DIT센터
2nd row리빙콘텐츠DIT센터
3rd row리빙콘텐츠DIT센터
4th row리빙콘텐츠DIT센터
5th row리빙콘텐츠DIT센터
ValueCountFrequency (%)
메이커스페이스 66
 
8.2%
메이커 62
 
7.7%
스페이스 33
 
4.1%
부천 16
 
2.0%
lab 15
 
1.9%
크리에이티브팩토리 14
 
1.7%
캠퍼스 13
 
1.6%
성남가천메이커시티 13
 
1.6%
포스텍 13
 
1.6%
가천대 13
 
1.6%
Other values (139) 549
68.0%
2023-12-13T00:28:06.683073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 436
 
9.1%
428
 
8.9%
스 402
 
8.4%
메 221
 
4.6%
커 219
 
4.6%
페 155
 
3.2%
A 74
 
1.5%
리 63
 
1.3%
대 59
 
1.2%
랩 55
 
1.1%
Other values (230) 2696
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3522
73.3%
Uppercase Letter 510
 
10.6%
Space Separator 428
 
8.9%
Lowercase Letter 245
 
5.1%
Decimal Number 67
 
1.4%
Dash Punctuation 27
 
0.6%
Other Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 436
 
12.4%
스 402
 
11.4%
메 221
 
6.3%
커 219
 
6.2%
페 155
 
4.4%
리 63
 
1.8%
대 59
 
1.7%
랩 55
 
1.6%
천 48
 
1.4%
창 46
 
1.3%
Other values (179) 1818
51.6%
Uppercase Letter
ValueCountFrequency (%)
A 74
14.5%
B 45
 
8.8%
S 42
 
8.2%
N 36
 
7.1%
O 33
 
6.5%
I 30
 
5.9%
F 28
 
5.5%
T 26
 
5.1%
G 26
 
5.1%
C 22
 
4.3%
Other values (14) 148
29.0%
Lowercase Letter
ValueCountFrequency (%)
a 51
20.8%
e 35
14.3%
r 26
10.6%
c 16
 
6.5%
o 15
 
6.1%
n 15
 
6.1%
p 15
 
6.1%
i 13
 
5.3%
k 10
 
4.1%
b 10
 
4.1%
Other values (9) 39
15.9%
Decimal Number
ValueCountFrequency (%)
4 20
29.9%
1 20
29.9%
5 14
20.9%
9 9
13.4%
0 4
 
6.0%
Space Separator
ValueCountFrequency (%)
428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3506
72.9%
Latin 755
 
15.7%
Common 531
 
11.0%
Han 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 436
 
12.4%
스 402
 
11.5%
메 221
 
6.3%
커 219
 
6.2%
페 155
 
4.4%
리 63
 
1.8%
대 59
 
1.7%
랩 55
 
1.6%
천 48
 
1.4%
창 46
 
1.3%
Other values (174) 1802
51.4%
Latin
ValueCountFrequency (%)
A 74
 
9.8%
a 51
 
6.8%
B 45
 
6.0%
S 42
 
5.6%
N 36
 
4.8%
e 35
 
4.6%
O 33
 
4.4%
I 30
 
4.0%
F 28
 
3.7%
T 26
 
3.4%
Other values (33) 355
47.0%
Common
ValueCountFrequency (%)
428
80.6%
- 27
 
5.1%
4 20
 
3.8%
1 20
 
3.8%
5 14
 
2.6%
9 9
 
1.7%
. 9
 
1.7%
0 4
 
0.8%
Han
ValueCountFrequency (%)
多 6
37.5%
樂 6
37.5%
業 2
 
12.5%
考 1
 
6.2%
高 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3506
72.9%
ASCII 1286
 
26.7%
CJK 10
 
0.2%
CJK Compat Ideographs 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 436
 
12.4%
스 402
 
11.5%
메 221
 
6.3%
커 219
 
6.2%
페 155
 
4.4%
리 63
 
1.8%
대 59
 
1.7%
랩 55
 
1.6%
천 48
 
1.4%
창 46
 
1.3%
Other values (174) 1802
51.4%
ASCII
ValueCountFrequency (%)
428
33.3%
A 74
 
5.8%
a 51
 
4.0%
B 45
 
3.5%
S 42
 
3.3%
N 36
 
2.8%
e 35
 
2.7%
O 33
 
2.6%
I 30
 
2.3%
F 28
 
2.2%
Other values (41) 484
37.6%
CJK
ValueCountFrequency (%)
多 6
60.0%
業 2
 
20.0%
考 1
 
10.0%
高 1
 
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 6
100.0%

공간명
Text

Distinct356
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T00:28:07.059942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length7.6640827
Min length2

Characters and Unicode

Total characters2966
Distinct characters343
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

Unique337 ?
Unique (%)87.1%

Sample

1st row창의공작실
2nd row교육실
3rd row목업실
4th row커뮤니티실
5th row스튜디오
ValueCountFrequency (%)
메이커 17
 
2.5%
스페이스 17
 
2.5%
공간 15
 
2.2%
작업실 11
 
1.6%
교육장 11
 
1.6%
및 10
 
1.5%
회의실 10
 
1.5%
wox 9
 
1.3%
3d 9
 
1.3%
space 9
 
1.3%
Other values (421) 550
82.3%
2023-12-13T00:28:07.630800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
10.0%
실 163
 
5.5%
이 111
 
3.7%
스 103
 
3.5%
공 85
 
2.9%
작 57
 
1.9%
메 47
 
1.6%
디 46
 
1.6%
커 46
 
1.6%
의 41
 
1.4%
Other values (333) 1970
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2050
69.1%
Space Separator 297
 
10.0%
Uppercase Letter 246
 
8.3%
Lowercase Letter 229
 
7.7%
Decimal Number 130
 
4.4%
Other Punctuation 8
 
0.3%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 163
 
8.0%
이 111
 
5.4%
스 103
 
5.0%
공 85
 
4.1%
작 57
 
2.8%
메 47
 
2.3%
디 46
 
2.2%
커 46
 
2.2%
의 41
 
2.0%
페 37
 
1.8%
Other values (271) 1314
64.1%
Uppercase Letter
ValueCountFrequency (%)
O 22
 
8.9%
D 22
 
8.9%
R 22
 
8.9%
S 21
 
8.5%
A 21
 
8.5%
W 18
 
7.3%
C 18
 
7.3%
P 13
 
5.3%
X 10
 
4.1%
T 10
 
4.1%
Other values (14) 69
28.0%
Lowercase Letter
ValueCountFrequency (%)
e 29
12.7%
o 28
12.2%
a 27
11.8%
n 19
 
8.3%
i 16
 
7.0%
r 14
 
6.1%
p 14
 
6.1%
c 14
 
6.1%
t 9
 
3.9%
m 8
 
3.5%
Other values (13) 51
22.3%
Decimal Number
ValueCountFrequency (%)
1 31
23.8%
3 28
21.5%
2 26
20.0%
0 15
11.5%
5 10
 
7.7%
4 10
 
7.7%
7 5
 
3.8%
8 2
 
1.5%
6 2
 
1.5%
9 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
. 2
 
25.0%
· 1
 
12.5%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2050
69.1%
Latin 475
 
16.0%
Common 441
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 163
 
8.0%
이 111
 
5.4%
스 103
 
5.0%
공 85
 
4.1%
작 57
 
2.8%
메 47
 
2.3%
디 46
 
2.2%
커 46
 
2.2%
의 41
 
2.0%
페 37
 
1.8%
Other values (271) 1314
64.1%
Latin
ValueCountFrequency (%)
e 29
 
6.1%
o 28
 
5.9%
a 27
 
5.7%
O 22
 
4.6%
D 22
 
4.6%
R 22
 
4.6%
S 21
 
4.4%
A 21
 
4.4%
n 19
 
4.0%
W 18
 
3.8%
Other values (37) 246
51.8%
Common
ValueCountFrequency (%)
297
67.3%
1 31
 
7.0%
3 28
 
6.3%
2 26
 
5.9%
0 15
 
3.4%
5 10
 
2.3%
4 10
 
2.3%
- 6
 
1.4%
7 5
 
1.1%
, 5
 
1.1%
Other values (5) 8
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2050
69.1%
ASCII 915
30.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
32.5%
1 31
 
3.4%
e 29
 
3.2%
o 28
 
3.1%
3 28
 
3.1%
a 27
 
3.0%
2 26
 
2.8%
O 22
 
2.4%
D 22
 
2.4%
R 22
 
2.4%
Other values (51) 383
41.9%
Hangul
ValueCountFrequency (%)
실 163
 
8.0%
이 111
 
5.4%
스 103
 
5.0%
공 85
 
4.1%
작 57
 
2.8%
메 47
 
2.3%
디 46
 
2.2%
커 46
 
2.2%
의 41
 
2.0%
페 37
 
1.8%
Other values (271) 1314
64.1%
None
ValueCountFrequency (%)
· 1
100.0%

용도
Text

MISSING 

Distinct113
Distinct (%)93.4%
Missing266
Missing (%)68.7%
Memory size3.2 KiB
2023-12-13T00:28:07.992712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length13.991736
Min length2

Characters and Unicode

Total characters1693
Distinct characters236
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)88.4%

Sample

1st row용도
2nd row메이커 교육 및 특강 프로그램
3rd row소프트웨어 활용 콘텐츠 메이킹 교육 공간 및 3D프린터운용기능사 실기시험장
4th row언플러그드 메이킹 활동 및 성과 전시 공간
5th rowMOU, 대회, 회의 및 행사 개최 공간
ValueCountFrequency (%)
공간 28
 
6.2%
및 25
 
5.6%
교육 18
 
4.0%
메이커 16
 
3.6%
회의 12
 
2.7%
등 12
 
2.7%
세미나 10
 
2.2%
프로그램 9
 
2.0%
워크숍 8
 
1.8%
강의 8
 
1.8%
Other values (217) 302
67.4%
2023-12-13T00:28:08.524184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
334
 
19.7%
, 75
 
4.4%
공 56
 
3.3%
이 46
 
2.7%
간 40
 
2.4%
의 30
 
1.8%
육 27
 
1.6%
교 27
 
1.6%
및 26
 
1.5%
메 25
 
1.5%
Other values (226) 1007
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1224
72.3%
Space Separator 334
 
19.7%
Other Punctuation 76
 
4.5%
Uppercase Letter 43
 
2.5%
Decimal Number 16
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 56
 
4.6%
이 46
 
3.8%
간 40
 
3.3%
의 30
 
2.5%
육 27
 
2.2%
교 27
 
2.2%
및 26
 
2.1%
메 25
 
2.0%
커 24
 
2.0%
작 23
 
1.9%
Other values (206) 900
73.5%
Uppercase Letter
ValueCountFrequency (%)
D 11
25.6%
R 5
11.6%
P 5
11.6%
C 4
 
9.3%
A 3
 
7.0%
M 3
 
7.0%
T 3
 
7.0%
V 2
 
4.7%
O 2
 
4.7%
G 1
 
2.3%
Other values (4) 4
 
9.3%
Decimal Number
ValueCountFrequency (%)
3 13
81.2%
1 2
 
12.5%
0 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 75
98.7%
. 1
 
1.3%
Space Separator
ValueCountFrequency (%)
334
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1224
72.3%
Common 426
 
25.2%
Latin 43
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 56
 
4.6%
이 46
 
3.8%
간 40
 
3.3%
의 30
 
2.5%
육 27
 
2.2%
교 27
 
2.2%
및 26
 
2.1%
메 25
 
2.0%
커 24
 
2.0%
작 23
 
1.9%
Other values (206) 900
73.5%
Latin
ValueCountFrequency (%)
D 11
25.6%
R 5
11.6%
P 5
11.6%
C 4
 
9.3%
A 3
 
7.0%
M 3
 
7.0%
T 3
 
7.0%
V 2
 
4.7%
O 2
 
4.7%
G 1
 
2.3%
Other values (4) 4
 
9.3%
Common
ValueCountFrequency (%)
334
78.4%
, 75
 
17.6%
3 13
 
3.1%
1 2
 
0.5%
0 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1224
72.3%
ASCII 469
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
334
71.2%
, 75
 
16.0%
3 13
 
2.8%
D 11
 
2.3%
R 5
 
1.1%
P 5
 
1.1%
C 4
 
0.9%
A 3
 
0.6%
M 3
 
0.6%
T 3
 
0.6%
Other values (10) 13
 
2.8%
Hangul
ValueCountFrequency (%)
공 56
 
4.6%
이 46
 
3.8%
간 40
 
3.3%
의 30
 
2.5%
육 27
 
2.2%
교 27
 
2.2%
및 26
 
2.1%
메 25
 
2.0%
커 24
 
2.0%
작 23
 
1.9%
Other values (206) 900
73.5%

공간내 구비기기
Text

MISSING 

Distinct331
Distinct (%)89.7%
Missing18
Missing (%)4.7%
Memory size3.2 KiB
2023-12-13T00:28:08.849385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length56
Mean length22.802168
Min length2

Characters and Unicode

Total characters8414
Distinct characters434
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique306 ?
Unique (%)82.9%

Sample

1st row레이저가공기, 3D프린터, 재봉틀, 초음파커터기, 기타 손공구 등
2nd row빔프로젝터, 스크린, 노트북, 마이크 및 음향시설
3rd row밴드쇼, 벨트샌더, 에어콤프레셔, 드릴링머신 등
4th row테이블, 의자, 커피머신
5th row촬영조명
ValueCountFrequency (%)
등 81
 
4.8%
3d프린터 52
 
3.1%
노트북 37
 
2.2%
빔프로젝터 33
 
1.9%
의자 33
 
1.9%
및 28
 
1.7%
마이크 24
 
1.4%
책상 23
 
1.4%
테이블 22
 
1.3%
프로젝터 22
 
1.3%
Other values (751) 1340
79.1%
2023-12-13T00:28:09.405564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1398
 
16.6%
, 767
 
9.1%
터 283
 
3.4%
프 234
 
2.8%
기 226
 
2.7%
이 193
 
2.3%
린 155
 
1.8%
스 129
 
1.5%
로 125
 
1.5%
트 123
 
1.5%
Other values (424) 4781
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5264
62.6%
Space Separator 1398
 
16.6%
Other Punctuation 774
 
9.2%
Uppercase Letter 565
 
6.7%
Decimal Number 255
 
3.0%
Lowercase Letter 144
 
1.7%
Dash Punctuation 11
 
0.1%
Connector Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 283
 
5.4%
프 234
 
4.4%
기 226
 
4.3%
이 193
 
3.7%
린 155
 
2.9%
스 129
 
2.5%
로 125
 
2.4%
트 123
 
2.3%
크 100
 
1.9%
등 97
 
1.8%
Other values (364) 3599
68.4%
Uppercase Letter
ValueCountFrequency (%)
D 120
21.2%
C 58
 
10.3%
V 52
 
9.2%
P 40
 
7.1%
T 33
 
5.8%
A 28
 
5.0%
F 27
 
4.8%
L 23
 
4.1%
M 19
 
3.4%
R 19
 
3.4%
Other values (14) 146
25.8%
Lowercase Letter
ValueCountFrequency (%)
i 34
23.6%
e 22
15.3%
r 11
 
7.6%
t 11
 
7.6%
l 8
 
5.6%
s 8
 
5.6%
n 8
 
5.6%
c 8
 
5.6%
o 7
 
4.9%
a 6
 
4.2%
Other values (10) 21
14.6%
Decimal Number
ValueCountFrequency (%)
3 116
45.5%
0 39
 
15.3%
1 26
 
10.2%
2 22
 
8.6%
4 16
 
6.3%
6 13
 
5.1%
5 12
 
4.7%
8 5
 
2.0%
7 4
 
1.6%
9 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 767
99.1%
. 7
 
0.9%
Space Separator
ValueCountFrequency (%)
1398
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5264
62.6%
Common 2441
29.0%
Latin 709
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 283
 
5.4%
프 234
 
4.4%
기 226
 
4.3%
이 193
 
3.7%
린 155
 
2.9%
스 129
 
2.5%
로 125
 
2.4%
트 123
 
2.3%
크 100
 
1.9%
등 97
 
1.8%
Other values (364) 3599
68.4%
Latin
ValueCountFrequency (%)
D 120
16.9%
C 58
 
8.2%
V 52
 
7.3%
P 40
 
5.6%
i 34
 
4.8%
T 33
 
4.7%
A 28
 
3.9%
F 27
 
3.8%
L 23
 
3.2%
e 22
 
3.1%
Other values (34) 272
38.4%
Common
ValueCountFrequency (%)
1398
57.3%
, 767
31.4%
3 116
 
4.8%
0 39
 
1.6%
1 26
 
1.1%
2 22
 
0.9%
4 16
 
0.7%
6 13
 
0.5%
5 12
 
0.5%
- 11
 
0.5%
Other values (6) 21
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5263
62.6%
ASCII 3150
37.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1398
44.4%
, 767
24.3%
D 120
 
3.8%
3 116
 
3.7%
C 58
 
1.8%
V 52
 
1.7%
P 40
 
1.3%
0 39
 
1.2%
i 34
 
1.1%
T 33
 
1.0%
Other values (50) 493
 
15.7%
Hangul
ValueCountFrequency (%)
터 283
 
5.4%
프 234
 
4.4%
기 226
 
4.3%
이 193
 
3.7%
린 155
 
2.9%
스 129
 
2.5%
로 125
 
2.4%
트 123
 
2.3%
크 100
 
1.9%
등 97
 
1.8%
Other values (363) 3598
68.4%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
100.0%

등록일
Date

Distinct98
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-10-11 00:00:00
Maximum2020-12-28 00:00:00
2023-12-13T00:28:09.541770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:28:09.695853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-13T00:28:09.818913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
메이커스페이스명등록일
메이커스페이스명1.0000.999
등록일0.9991.000

Missing values

2023-12-13T00:28:05.828910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:28:05.918082image/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.
2023-12-13T00:28:06.052607image/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

메이커스페이스명공간명용도공간내 구비기기등록일
0리빙콘텐츠DIT센터창의공작실용도레이저가공기, 3D프린터, 재봉틀, 초음파커터기, 기타 손공구 등2018-10-11
1리빙콘텐츠DIT센터교육실메이커 교육 및 특강 프로그램빔프로젝터, 스크린, 노트북, 마이크 및 음향시설2018-10-11
2리빙콘텐츠DIT센터목업실<NA>밴드쇼, 벨트샌더, 에어콤프레셔, 드릴링머신 등2018-10-11
3리빙콘텐츠DIT센터커뮤니티실<NA>테이블, 의자, 커피머신2018-10-11
4리빙콘텐츠DIT센터스튜디오<NA>촬영조명2018-10-11
5Camp 51.9 영등포고등학교 메이커 스페이스컴퓨터실<NA>빔 프로젝터, 노트북2018-10-11
6Camp 51.9 영등포고등학교 메이커 스페이스영상제작실<NA>카메라, 올인원 PC, 그린 스크린, 마이크, 조명2018-10-11
7Camp 51.9 영등포고등학교 메이커 스페이스메카트로닉스실<NA>개발보드, 센서2018-10-11
8Camp 51.9 영등포고등학교 메이커 스페이스레이저 커터 및 3D 프린터실<NA>Trotec Speedy 360, Sindo 3DWOX ECO2018-10-11
9Camp 51.9 영등포고등학교 메이커 스페이스목공 및 금속가공실<NA>테이블 쏘우, 목공용 수공구, 수공금속가공기2018-10-11
메이커스페이스명공간명용도공간내 구비기기등록일
377덕성메이커스페이스 시작촌목공작업실<NA>전동대패, 각도절단기, 테이블쏘, 밴드쏘, 전동드라이버, 트리머, 타카등 목공기기2020-12-22
378덕성메이커스페이스 시작촌디지털스튜디오<NA>그라인더, 전자저울, 기타 커피브루잉기기, 촬영장비, 스튜디오2020-12-22
379공공스페이스00SPACE목공 작업실<NA>테이블쏘, 각도절단기, 스크롤쏘, 자동대패, 벨트샌더, 드릴프레스, 루터, 스핀들샌더 및 각종 전동공구 및 기구2020-12-23
380공공스페이스00SPACE금속 가공실<NA>4축 CNC, 비금속 레이저커터, 선반, 밀링, 절곡기, 탭핑기, 용접기 및 각종 금속용 전동공구 및 기구2020-12-23
381다이룸플러스다줌<NA>데스크탑카메라삼각대전동스크린촬영용 조명반사판기타 촬영도구2020-12-24
382다이룸플러스다시<NA>커피머신제빙기그라인더블랜더온수기 등2020-12-28
383다이룸플러스다채움<NA>오븐발효기튀김기실링기냉장고믹서기반죽기블랜더밥솥 등등2020-12-28
384다이룸플러스다글랑<NA>3D프린터레이저각인기열프레스기전사프린터피할기불박기컷팅플로터 등2020-12-28
385다이룸플러스다존<NA>빔 프로젝터칠판노트북2020-12-28
386다이룸플러스다락<NA>빔 프로젝터음향기기2020-12-28

Duplicate rows

Most frequently occurring

메이커스페이스명공간명용도공간내 구비기기등록일# duplicates
0아이디어창작소 도깨비3D 프린터 공간<NA>3D프린터 총 5대2018-11-032