Overview

Dataset statistics

Number of variables9
Number of observations149
Missing cells303
Missing cells (%)22.6%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory10.6 KiB
Average record size in memory72.9 B

Variable types

Unsupported2
Text4
Categorical3

Dataset

Description한국공예디자인문화진흥원에서 조사한 2012 공예학회연구 리서치 현황을 제공합니다. 논문명, 저자, 발행기관, 발행년도 등의 정보를 제공합니다.
Author한국공예디자인문화진흥원
URLhttps://www.data.go.kr/data/15052702/fileData.do

Alerts

Unnamed: 3 has constant value ""Constant
Unnamed: 7 has constant value ""Constant
Dataset has 1 (0.7%) duplicate rowsDuplicates
Unnamed: 8 is highly overall correlated with Unnamed: 4 and 1 other fieldsHigh correlation
Unnamed: 5 is highly overall correlated with Unnamed: 4 and 1 other fieldsHigh correlation
Unnamed: 4 is highly overall correlated with Unnamed: 5 and 1 other fieldsHigh correlation
Unnamed: 4 is highly imbalanced (89.9%)Imbalance
Unnamed: 8 is highly imbalanced (67.9%)Imbalance
Unnamed: 1 has 2 (1.3%) missing valuesMissing
Unnamed: 2 has 2 (1.3%) missing valuesMissing
Unnamed: 3 has 148 (99.3%) missing valuesMissing
Unnamed: 6 has 2 (1.3%) missing valuesMissing
Unnamed: 7 has 148 (99.3%) missing valuesMissing
공예 관련 주요 학회 (학술대회)발표논문 목록 ○ 조사기간 : 2012년 1월-12월 ○ 자료협조: 한국기초조형학회 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:54:17.698199
Analysis finished2023-12-12 04:54:18.607966
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공예 관련 주요 학회 (학술대회)발표논문 목록 ○ 조사기간 : 2012년 1월-12월 ○ 자료협조: 한국기초조형학회
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.7%
Memory size1.3 KiB

Unnamed: 1
Text

MISSING 

Distinct147
Distinct (%)100.0%
Missing2
Missing (%)1.3%
Memory size1.3 KiB
2023-12-12T13:54:18.837740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length68
Mean length34.510204
Min length8

Characters and Unicode

Total characters5073
Distinct characters424
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)100.0%

Sample

1st row논문명/저자사항
2nd row기초조형과 신조형
3rd rowRevamping Fundamental Visual Vocabulary in Graphic Design Curriculum
4th rowBeyond New Media Art-transformations of Site-specificity through the Spatial Concept of Basic Design
5th rowThe Research of the Principle of Dynamic Virtual Shape in Movement Perception
ValueCountFrequency (%)
연구 79
 
7.3%
관한 53
 
4.9%
of 26
 
2.4%
디자인 24
 
2.2%
the 19
 
1.8%
위한 17
 
1.6%
and 12
 
1.1%
design 11
 
1.0%
in 11
 
1.0%
study 10
 
0.9%
Other values (644) 814
75.7%
2023-12-12T13:54:19.287769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
941
 
18.5%
e 144
 
2.8%
i 128
 
2.5%
n 125
 
2.5%
한 120
 
2.4%
o 108
 
2.1%
구 107
 
2.1%
a 102
 
2.0%
t 102
 
2.0%
연 92
 
1.8%
Other values (414) 3104
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2564
50.5%
Lowercase Letter 1296
25.5%
Space Separator 941
 
18.5%
Uppercase Letter 203
 
4.0%
Decimal Number 20
 
0.4%
Other Punctuation 14
 
0.3%
Dash Punctuation 13
 
0.3%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Final Punctuation 3
 
0.1%
Other values (2) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 120
 
4.7%
구 107
 
4.2%
연 92
 
3.6%
에 92
 
3.6%
자 81
 
3.2%
인 79
 
3.1%
의 73
 
2.8%
디 67
 
2.6%
관 67
 
2.6%
용 44
 
1.7%
Other values (340) 1742
67.9%
Lowercase Letter
ValueCountFrequency (%)
e 144
11.1%
i 128
 
9.9%
n 125
 
9.6%
o 108
 
8.3%
a 102
 
7.9%
t 102
 
7.9%
r 83
 
6.4%
s 76
 
5.9%
u 53
 
4.1%
c 51
 
3.9%
Other values (14) 324
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 31
15.3%
C 20
9.9%
T 20
9.9%
D 19
9.4%
A 19
9.4%
P 15
 
7.4%
V 14
 
6.9%
I 11
 
5.4%
M 8
 
3.9%
R 7
 
3.4%
Other values (13) 39
19.2%
Decimal Number
ValueCountFrequency (%)
1 5
25.0%
3 4
20.0%
5 3
15.0%
2 2
 
10.0%
9 2
 
10.0%
8 1
 
5.0%
0 1
 
5.0%
4 1
 
5.0%
6 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 3
21.4%
/ 2
14.3%
․ 2
14.3%
: 2
14.3%
" 2
14.3%
' 1
 
7.1%
? 1
 
7.1%
· 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 12
92.3%
– 1
 
7.7%
Final Punctuation
ValueCountFrequency (%)
’ 2
66.7%
” 1
33.3%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
941
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2541
50.1%
Latin 1499
29.5%
Common 1010
 
19.9%
Han 23
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 120
 
4.7%
구 107
 
4.2%
연 92
 
3.6%
에 92
 
3.6%
자 81
 
3.2%
인 79
 
3.1%
의 73
 
2.9%
디 67
 
2.6%
관 67
 
2.6%
용 44
 
1.7%
Other values (322) 1719
67.7%
Latin
ValueCountFrequency (%)
e 144
 
9.6%
i 128
 
8.5%
n 125
 
8.3%
o 108
 
7.2%
a 102
 
6.8%
t 102
 
6.8%
r 83
 
5.5%
s 76
 
5.1%
u 53
 
3.5%
c 51
 
3.4%
Other values (37) 527
35.2%
Common
ValueCountFrequency (%)
941
93.2%
- 12
 
1.2%
( 8
 
0.8%
) 8
 
0.8%
1 5
 
0.5%
3 4
 
0.4%
, 3
 
0.3%
5 3
 
0.3%
/ 2
 
0.2%
․ 2
 
0.2%
Other values (17) 22
 
2.2%
Han
ValueCountFrequency (%)
不 2
 
8.7%
白 2
 
8.7%
形 2
 
8.7%
无 2
 
8.7%
黑 2
 
8.7%
木 1
 
4.3%
氷 1
 
4.3%
庫 1
 
4.3%
造 1
 
4.3%
效 1
 
4.3%
Other values (8) 8
34.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2541
50.1%
ASCII 2501
49.3%
CJK 23
 
0.5%
Punctuation 7
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
941
37.6%
e 144
 
5.8%
i 128
 
5.1%
n 125
 
5.0%
o 108
 
4.3%
a 102
 
4.1%
t 102
 
4.1%
r 83
 
3.3%
s 76
 
3.0%
u 53
 
2.1%
Other values (58) 639
25.5%
Hangul
ValueCountFrequency (%)
한 120
 
4.7%
구 107
 
4.2%
연 92
 
3.6%
에 92
 
3.6%
자 81
 
3.2%
인 79
 
3.1%
의 73
 
2.9%
디 67
 
2.6%
관 67
 
2.6%
용 44
 
1.7%
Other values (322) 1719
67.7%
Punctuation
ValueCountFrequency (%)
․ 2
28.6%
’ 2
28.6%
” 1
14.3%
“ 1
14.3%
– 1
14.3%
CJK
ValueCountFrequency (%)
不 2
 
8.7%
白 2
 
8.7%
形 2
 
8.7%
无 2
 
8.7%
黑 2
 
8.7%
木 1
 
4.3%
氷 1
 
4.3%
庫 1
 
4.3%
造 1
 
4.3%
效 1
 
4.3%
Other values (8) 8
34.8%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct142
Distinct (%)96.6%
Missing2
Missing (%)1.3%
Memory size1.3 KiB
2023-12-12T13:54:19.538242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length8.6530612
Min length2

Characters and Unicode

Total characters1272
Distinct characters187
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)93.2%

Sample

1st row저자
2nd row오근재
3rd rowRandall Sexton
4th rowShih-yun Lu
5th rowGuang-Dah Chen
ValueCountFrequency (%)
wang 5
 
2.7%
su 3
 
1.6%
lu 3
 
1.6%
절자르갈/김맹호 2
 
1.1%
gao 2
 
1.1%
임남숙 2
 
1.1%
shih-yun 2
 
1.1%
chen 2
 
1.1%
guang-dah 2
 
1.1%
hsieh 2
 
1.1%
Other values (159) 163
86.7%
2023-12-12T13:54:19.908668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 137
 
10.8%
김 71
 
5.6%
n 48
 
3.8%
40
 
3.1%
i 36
 
2.8%
a 35
 
2.8%
성 33
 
2.6%
정 31
 
2.4%
조 25
 
2.0%
h 24
 
1.9%
Other values (177) 792
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 731
57.5%
Lowercase Letter 251
 
19.7%
Other Punctuation 137
 
10.8%
Uppercase Letter 89
 
7.0%
Space Separator 40
 
3.1%
Dash Punctuation 20
 
1.6%
Control 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 71
 
9.7%
성 33
 
4.5%
정 31
 
4.2%
조 25
 
3.4%
영 21
 
2.9%
이 18
 
2.5%
현 17
 
2.3%
관 14
 
1.9%
상 13
 
1.8%
지 13
 
1.8%
Other values (131) 475
65.0%
Lowercase Letter
ValueCountFrequency (%)
n 48
19.1%
i 36
14.3%
a 35
13.9%
h 24
9.6%
u 22
8.8%
g 20
8.0%
e 20
8.0%
o 10
 
4.0%
s 8
 
3.2%
y 8
 
3.2%
Other values (11) 20
8.0%
Uppercase Letter
ValueCountFrequency (%)
L 10
11.2%
H 10
11.2%
S 9
10.1%
W 9
10.1%
C 7
 
7.9%
Y 7
 
7.9%
G 5
 
5.6%
F 4
 
4.5%
J 4
 
4.5%
M 4
 
4.5%
Other values (11) 20
22.5%
Other Punctuation
ValueCountFrequency (%)
/ 137
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 731
57.5%
Latin 340
26.7%
Common 201
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 71
 
9.7%
성 33
 
4.5%
정 31
 
4.2%
조 25
 
3.4%
영 21
 
2.9%
이 18
 
2.5%
현 17
 
2.3%
관 14
 
1.9%
상 13
 
1.8%
지 13
 
1.8%
Other values (131) 475
65.0%
Latin
ValueCountFrequency (%)
n 48
14.1%
i 36
 
10.6%
a 35
 
10.3%
h 24
 
7.1%
u 22
 
6.5%
g 20
 
5.9%
e 20
 
5.9%
L 10
 
2.9%
o 10
 
2.9%
H 10
 
2.9%
Other values (32) 105
30.9%
Common
ValueCountFrequency (%)
/ 137
68.2%
40
 
19.9%
- 20
 
10.0%
4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 731
57.5%
ASCII 541
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 137
25.3%
n 48
 
8.9%
40
 
7.4%
i 36
 
6.7%
a 35
 
6.5%
h 24
 
4.4%
u 22
 
4.1%
g 20
 
3.7%
- 20
 
3.7%
e 20
 
3.7%
Other values (36) 139
25.7%
Hangul
ValueCountFrequency (%)
김 71
 
9.7%
성 33
 
4.5%
정 31
 
4.2%
조 25
 
3.4%
영 21
 
2.9%
이 18
 
2.5%
현 17
 
2.3%
관 14
 
1.9%
상 13
 
1.8%
지 13
 
1.8%
Other values (131) 475
65.0%

Unnamed: 3
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing148
Missing (%)99.3%
Memory size1.3 KiB
2023-12-12T13:54:20.051749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row공동저자
ValueCountFrequency (%)
공동저자 1
100.0%
2023-12-12T13:54:20.387700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 1
25.0%
동 1
25.0%
저 1
25.0%
자 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 1
25.0%
동 1
25.0%
저 1
25.0%
자 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 1
25.0%
동 1
25.0%
저 1
25.0%
자 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 1
25.0%
동 1
25.0%
저 1
25.0%
자 1
25.0%

Unnamed: 4
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한국기초조형학회
146 
<NA>
 
2
발행기관
 
1

Length

Max length8
Median length8
Mean length7.9194631
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row발행기관
4th row한국기초조형학회
5th row한국기초조형학회

Common Values

ValueCountFrequency (%)
한국기초조형학회 146
98.0%
<NA> 2
 
1.3%
발행기관 1
 
0.7%

Length

2023-12-12T13:54:20.545083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:54:20.689105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국기초조형학회 146
98.0%
na 2
 
1.3%
발행기관 1
 
0.7%

Unnamed: 5
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한국기초조형학회 추계 국제학술대회 논문집
89 
한국기초조형학회 봄 국제학술대회 논문집
57 
<NA>
 
2
학술지명
 
1

Length

Max length22
Median length22
Mean length21.255034
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row학술지명
4th row한국기초조형학회 봄 국제학술대회 논문집
5th row한국기초조형학회 봄 국제학술대회 논문집

Common Values

ValueCountFrequency (%)
한국기초조형학회 추계 국제학술대회 논문집 89
59.7%
한국기초조형학회 봄 국제학술대회 논문집 57
38.3%
<NA> 2
 
1.3%
학술지명 1
 
0.7%

Length

2023-12-12T13:54:20.833969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:54:20.973297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국기초조형학회 146
24.9%
국제학술대회 146
24.9%
논문집 146
24.9%
추계 89
15.2%
봄 57
 
9.7%
na 2
 
0.3%
학술지명 1
 
0.2%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)1.3%
Memory size1.3 KiB

Unnamed: 7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing148
Missing (%)99.3%
Memory size1.3 KiB
2023-12-12T13:54:21.088484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row통권
ValueCountFrequency (%)
통권 1
100.0%
2023-12-12T13:54:21.364642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
통 1
50.0%
권 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
통 1
50.0%
권 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
통 1
50.0%
권 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
통 1
50.0%
권 1
50.0%

Unnamed: 8
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
범주 외
129 
현대공예
 
8
기타
 
7
<NA>
 
2
전승공예
 
2

Length

Max length4
Median length4
Mean length3.8926174
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row범주
4th row범주 외
5th row범주 외

Common Values

ValueCountFrequency (%)
범주 외 129
86.6%
현대공예 8
 
5.4%
기타 7
 
4.7%
<NA> 2
 
1.3%
전승공예 2
 
1.3%
범주 1
 
0.7%

Length

2023-12-12T13:54:21.552356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:54:21.718871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
범주 130
46.8%
외 129
46.4%
현대공예 8
 
2.9%
기타 7
 
2.5%
na 2
 
0.7%
전승공예 2
 
0.7%

Correlations

2023-12-12T13:54:21.810030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 4Unnamed: 5Unnamed: 8
Unnamed: 41.0001.0001.000
Unnamed: 51.0001.0000.725
Unnamed: 81.0000.7251.000
2023-12-12T13:54:21.924795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 8Unnamed: 5Unnamed: 4
Unnamed: 81.0000.7110.990
Unnamed: 50.7111.0000.997
Unnamed: 40.9900.9971.000
2023-12-12T13:54:22.039988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 4Unnamed: 5Unnamed: 8
Unnamed: 41.0000.9970.990
Unnamed: 50.9971.0000.711
Unnamed: 80.9900.7111.000

Missing values

2023-12-12T13:54:18.187344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:54:18.337074image/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.
2023-12-12T13:54:18.502527image/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

공예 관련 주요 학회 (학술대회)발표논문 목록 ○ 조사기간 : 2012년 1월-12월 ○ 자료협조: 한국기초조형학회Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8
0NaN<NA><NA><NA><NA><NA>NaN<NA><NA>
1기초조형학회(발표논문)<NA><NA><NA><NA><NA>NaN<NA><NA>
2번호논문명/저자사항저자공동저자발행기관학술지명발행년월통권범주
31기초조형과 신조형오근재<NA>한국기초조형학회한국기초조형학회 봄 국제학술대회 논문집201205<NA>범주 외
42Revamping Fundamental Visual Vocabulary in Graphic Design CurriculumRandall Sexton<NA>한국기초조형학회한국기초조형학회 봄 국제학술대회 논문집201205<NA>범주 외
53Beyond New Media Art-transformations of Site-specificity through the Spatial Concept of Basic DesignShih-yun Lu<NA>한국기초조형학회한국기초조형학회 봄 국제학술대회 논문집201205<NA>범주 외
64The Research of the Principle of Dynamic Virtual Shape in Movement PerceptionGuang-Dah Chen<NA>한국기초조형학회한국기초조형학회 봄 국제학술대회 논문집201205<NA>범주 외
75Does It Change in Design Process?Wei-her Hsieh<NA>한국기초조형학회한국기초조형학회 봄 국제학술대회 논문집201205<NA>범주 외
86A Study on Visual Communication and Recognition for Image Information of form in different viewLan-Ting Wang/ Shy-Pay Hwang/ Kun-Chou Lee/<NA>한국기초조형학회한국기초조형학회 봄 국제학술대회 논문집201205<NA>범주 외
97A Study on Transparency Design of Quadratic FormationYa-Fen Su<NA>한국기초조형학회한국기초조형학회 봄 국제학술대회 논문집201205<NA>범주 외
공예 관련 주요 학회 (학술대회)발표논문 목록 ○ 조사기간 : 2012년 1월-12월 ○ 자료협조: 한국기초조형학회Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8
139137The Consilience of Site-specific Art in Physical Space and Cyberspace approachesShih-Yun Lu<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
140138An application Study of Universal Design and Basic Design Structures of PackagingHsing-Jung Hsu/Jhong-Hao Wang<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
141139Elderly’s Preference for the Different Images’ Positions and the ColorsPin-Chang Lin/Wan-Yi Tai<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
142140The Study of Visual Texture SignsHsiao-Ming Chen<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
143141The Study of Shapes and Colors of Five Elements and Visual Art Works: A Case Study of Wind Lion Gods in KinmenLan-fen Hsieh<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
144142The future of Lion's Head Shape in Tang and Song DynastiesGao Bin<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
145143The Digital Age Abstract Element In Application Of Illustration CreationGao Weimin<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
146144Talk of Constructivsm in RussiaLi Zhiying<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
147145The form rule of the diversity and unityWang Xinyu<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외
148146The Consilience of Tradition and Modern Artistic Style and Conception from Traditional Furniture to Modern Automotive DesignChenye Lin<NA>한국기초조형학회한국기초조형학회 추계 국제학술대회 논문집201212<NA>범주 외

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 7Unnamed: 8# duplicates
0<NA><NA><NA><NA><NA><NA><NA>2