Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells4011
Missing cells (%)4.5%
Duplicate rows440
Duplicate rows (%)4.4%
Total size in memory800.8 KiB
Average record size in memory82.0 B

Variable types

Numeric2
Categorical3
Text4

Dataset

Description충청북도 청주시에서 2년마다 개최되는 청주공예비엔날레의 1~12회 행사별 주제/기간/참여 작가/작품 등의 데이터를 제공합니다.
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15110026/fileData.do

Alerts

Dataset has 440 (4.4%) duplicate rowsDuplicates
행사 주제 is highly overall correlated with 회차 and 3 other fieldsHigh correlation
행사 기간 is highly overall correlated with 회차 and 3 other fieldsHigh correlation
회차 is highly overall correlated with 년도 and 2 other fieldsHigh correlation
년도 is highly overall correlated with 회차 and 2 other fieldsHigh correlation
전시 구분 is highly overall correlated with 행사 주제 and 1 other fieldsHigh correlation
작가명(국문) has 320 (3.2%) missing valuesMissing
작가명(영문) has 1117 (11.2%) missing valuesMissing
작품명(국문) has 714 (7.1%) missing valuesMissing
작품명(영문) has 1860 (18.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 01:07:00.828430
Analysis finished2023-12-12 01:07:03.409318
Duration2.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회차
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2415
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:07:03.462408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.0281504
Coefficient of variation (CV)0.41816618
Kurtosis-0.8895592
Mean7.2415
Median Absolute Deviation (MAD)3
Skewness-0.25737216
Sum72415
Variance9.1696947
MonotonicityNot monotonic
2023-12-12T10:07:03.583507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 1523
15.2%
11 1487
14.9%
7 1427
14.3%
4 915
9.2%
10 876
8.8%
6 781
7.8%
3 744
7.4%
5 568
 
5.7%
12 528
 
5.3%
9 494
 
4.9%
Other values (2) 657
6.6%
ValueCountFrequency (%)
1 389
 
3.9%
2 268
 
2.7%
3 744
7.4%
4 915
9.2%
5 568
 
5.7%
6 781
7.8%
7 1427
14.3%
8 1523
15.2%
9 494
 
4.9%
10 876
8.8%
ValueCountFrequency (%)
12 528
 
5.3%
11 1487
14.9%
10 876
8.8%
9 494
 
4.9%
8 1523
15.2%
7 1427
14.3%
6 781
7.8%
5 568
 
5.7%
4 915
9.2%
3 744
7.4%

년도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.5598
Minimum1999
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:07:03.705489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2001
Q12007
median2011
Q32017
95-th percentile2021
Maximum2021
Range22
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.966589
Coefficient of variation (CV)0.0029661504
Kurtosis-0.8339981
Mean2011.5598
Median Absolute Deviation (MAD)5
Skewness-0.25406037
Sum20115598
Variance35.600184
MonotonicityNot monotonic
2023-12-12T10:07:03.849124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2013 1523
15.2%
2019 1487
14.9%
2011 1427
14.3%
2005 915
9.2%
2017 876
8.8%
2009 781
7.8%
2007 568
 
5.7%
2021 528
 
5.3%
2015 494
 
4.9%
2003 488
 
4.9%
Other values (3) 913
9.1%
ValueCountFrequency (%)
1999 389
 
3.9%
2001 268
 
2.7%
2003 488
 
4.9%
2005 915
9.2%
2006 256
 
2.6%
2007 568
 
5.7%
2009 781
7.8%
2011 1427
14.3%
2013 1523
15.2%
2015 494
 
4.9%
ValueCountFrequency (%)
2021 528
 
5.3%
2019 1487
14.9%
2017 876
8.8%
2015 494
 
4.9%
2013 1523
15.2%
2011 1427
14.3%
2009 781
7.8%
2007 568
 
5.7%
2006 256
 
2.6%
2005 915
9.2%

행사 주제
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
익숙함 그리고 새로움(SOMETHING OLD SOMETHING NEW)
1523 
미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)
1487 
유용지물有用之物(not the new, just the necessary)
1427 
유혹(Temptation)
915 
Hands+ 품다()
876 
Other values (8)
3772 

Length

Max length75
Median length40
Mean length34.8379
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)
2nd row조화의 손(Hands of Harmony)
3rd row유혹(Temptation)
4th row만남을 찾아서(outside the box)
5th row익숙함 그리고 새로움(SOMETHING OLD SOMETHING NEW)

Common Values

ValueCountFrequency (%)
익숙함 그리고 새로움(SOMETHING OLD SOMETHING NEW) 1523
15.2%
미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds) 1487
14.9%
유용지물有用之物(not the new, just the necessary) 1427
14.3%
유혹(Temptation) 915
9.2%
Hands+ 품다() 876
8.8%
만남을 찾아서(outside the box) 781
7.8%
창조적 진화_깊고 느리게(Creative Evolution, deeply and slowly) 568
 
5.7%
공생의 도구(Tools for Conviviality) 528
 
5.3%
Hands+ 확장과 공존() 494
 
4.9%
쓰임(Use) 488
 
4.9%
Other values (3) 913
9.1%

Length

2023-12-12T10:07:04.007458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 6609
 
13.3%
new 2950
 
5.9%
of 2144
 
4.3%
익숙함 1523
 
3.1%
그리고 1523
 
3.1%
something 1523
 
3.1%
old 1523
 
3.1%
새로움(something 1523
 
3.1%
unfolds 1487
 
3.0%
미래와 1487
 
3.0%
Other values (37) 27535
55.3%

행사 기간
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2013-09-11~2013-10-20
1523 
2019-10-08~2019-11-17
1487 
2011-09-21~2011-10-30
1427 
2005-09-30~2005-10-23
915 
2017-09-13~2017-10-22
876 
Other values (8)
3772 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-10-08~2019-11-17
2nd row1999-09-30~1999-10-31
3rd row2005-09-30~2005-10-23
4th row2009-09-23~2009-11-01
5th row2013-09-11~2013-10-20

Common Values

ValueCountFrequency (%)
2013-09-11~2013-10-20 1523
15.2%
2019-10-08~2019-11-17 1487
14.9%
2011-09-21~2011-10-30 1427
14.3%
2005-09-30~2005-10-23 915
9.2%
2017-09-13~2017-10-22 876
8.8%
2009-09-23~2009-11-01 781
7.8%
2007-10-02~2007-10-28 568
 
5.7%
2021-09-08~2021-10-17 528
 
5.3%
2015-09-16~2015-10-25 494
 
4.9%
2003-10-01~2003-10-19 488
 
4.9%
Other values (3) 913
9.1%

Length

2023-12-12T10:07:04.142483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2013-09-11~2013-10-20 1523
15.2%
2019-10-08~2019-11-17 1487
14.9%
2011-09-21~2011-10-30 1427
14.3%
2005-09-30~2005-10-23 915
9.2%
2017-09-13~2017-10-22 876
8.8%
2009-09-23~2009-11-01 781
7.8%
2007-10-02~2007-10-28 568
 
5.7%
2021-09-08~2021-10-17 528
 
5.3%
2015-09-16~2015-10-25 494
 
4.9%
2003-10-01~2003-10-19 488
 
4.9%
Other values (3) 913
9.1%

전시 구분
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본전시/기획전
2725 
공모전
1893 
페어
1522 
초대국가관
1179 
특별전
1143 
Other values (5)
1538 

Length

Max length7
Median length5
Mean length4.6026
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row본전시/기획전
2nd row국제초대작가전
3rd row본전시/기획전
4th row초대국가관
5th row초대국가관

Common Values

ValueCountFrequency (%)
본전시/기획전 2725
27.3%
공모전 1893
18.9%
페어 1522
15.2%
초대국가관 1179
11.8%
특별전 1143
11.4%
국제초대작가전 603
 
6.0%
생활공예명품전 388
 
3.9%
기타 256
 
2.6%
지역작가전 154
 
1.5%
국제산업관 137
 
1.4%

Length

2023-12-12T10:07:04.281104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:07:04.429639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본전시/기획전 2725
27.3%
공모전 1893
18.9%
페어 1522
15.2%
초대국가관 1179
11.8%
특별전 1143
11.4%
국제초대작가전 603
 
6.0%
생활공예명품전 388
 
3.9%
기타 256
 
2.6%
지역작가전 154
 
1.5%
국제산업관 137
 
1.4%

작가명(국문)
Text

MISSING 

Distinct3630
Distinct (%)37.5%
Missing320
Missing (%)3.2%
Memory size156.2 KiB
2023-12-12T10:07:04.841656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length3
Mean length4.1581612
Min length1

Characters and Unicode

Total characters40251
Distinct characters689
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2108 ?
Unique (%)21.8%

Sample

1st row마루야마O스케
2nd row송O수
3rd row카호O버트O
4th row롭O우스콧
5th row구이도O글레
ValueCountFrequency (%)
윌리엄o리스 77
 
0.8%
김o원 55
 
0.6%
한국o수o물관 51
 
0.5%
이o선 50
 
0.5%
김o경 50
 
0.5%
김o수 47
 
0.5%
이o희 47
 
0.5%
김o영 46
 
0.5%
이o호 42
 
0.4%
이o수 39
 
0.4%
Other values (3622) 9257
94.8%
2023-12-12T10:07:05.765107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 10292
25.6%
이 1708
 
4.2%
김 1153
 
2.9%
리 1009
 
2.5%
스 869
 
2.2%
정 537
 
1.3%
박 508
 
1.3%
라 453
 
1.1%
르 389
 
1.0%
아 359
 
0.9%
Other values (679) 22974
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29556
73.4%
Uppercase Letter 10381
 
25.8%
Decimal Number 85
 
0.2%
Space Separator 81
 
0.2%
Other Punctuation 73
 
0.2%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Letter Number 16
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1708
 
5.8%
김 1153
 
3.9%
리 1009
 
3.4%
스 869
 
2.9%
정 537
 
1.8%
박 508
 
1.7%
라 453
 
1.5%
르 389
 
1.3%
아 359
 
1.2%
트 359
 
1.2%
Other values (644) 22212
75.2%
Uppercase Letter
ValueCountFrequency (%)
O 10292
99.1%
A 21
 
0.2%
H 20
 
0.2%
C 19
 
0.2%
M 8
 
0.1%
B 5
 
< 0.1%
W 4
 
< 0.1%
J 4
 
< 0.1%
K 2
 
< 0.1%
Y 1
 
< 0.1%
Other values (5) 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 49
57.6%
2 9
 
10.6%
4 7
 
8.2%
3 7
 
8.2%
6 5
 
5.9%
1 4
 
4.7%
5 3
 
3.5%
7 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 44
60.3%
. 17
 
23.3%
& 10
 
13.7%
· 2
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
50.0%
Ⅹ 8
50.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29556
73.4%
Latin 10399
 
25.8%
Common 296
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1708
 
5.8%
김 1153
 
3.9%
리 1009
 
3.4%
스 869
 
2.9%
정 537
 
1.8%
박 508
 
1.7%
라 453
 
1.5%
르 389
 
1.3%
아 359
 
1.2%
트 359
 
1.2%
Other values (644) 22212
75.2%
Latin
ValueCountFrequency (%)
O 10292
99.0%
A 21
 
0.2%
H 20
 
0.2%
C 19
 
0.2%
Ⅱ 8
 
0.1%
Ⅹ 8
 
0.1%
M 8
 
0.1%
B 5
 
< 0.1%
W 4
 
< 0.1%
J 4
 
< 0.1%
Other values (8) 10
 
0.1%
Common
ValueCountFrequency (%)
81
27.4%
0 49
16.6%
, 44
14.9%
) 23
 
7.8%
( 23
 
7.8%
. 17
 
5.7%
& 10
 
3.4%
2 9
 
3.0%
4 7
 
2.4%
3 7
 
2.4%
Other values (7) 26
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29556
73.4%
ASCII 10677
 
26.5%
Number Forms 16
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 10292
96.4%
81
 
0.8%
0 49
 
0.5%
, 44
 
0.4%
) 23
 
0.2%
( 23
 
0.2%
A 21
 
0.2%
H 20
 
0.2%
C 19
 
0.2%
. 17
 
0.2%
Other values (22) 88
 
0.8%
Hangul
ValueCountFrequency (%)
이 1708
 
5.8%
김 1153
 
3.9%
리 1009
 
3.4%
스 869
 
2.9%
정 537
 
1.8%
박 508
 
1.7%
라 453
 
1.5%
르 389
 
1.3%
아 359
 
1.2%
트 359
 
1.2%
Other values (644) 22212
75.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
50.0%
Ⅹ 8
50.0%
None
ValueCountFrequency (%)
· 2
100.0%

작가명(영문)
Text

MISSING 

Distinct3454
Distinct (%)38.9%
Missing1117
Missing (%)11.2%
Memory size156.2 KiB
2023-12-12T10:07:06.247654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length9.8413824
Min length2

Characters and Unicode

Total characters87421
Distinct characters105
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1907 ?
Unique (%)21.5%

Sample

1st rowMaruyama O
2nd rowSong O Soo
3rd rowKaho O
4th rowRob O
5th rowGuido O
ValueCountFrequency (%)
o 9300
38.7%
kim 928
 
3.9%
lee 884
 
3.7%
park 438
 
1.8%
choi 233
 
1.0%
hee 192
 
0.8%
jung 191
 
0.8%
young 185
 
0.8%
ho 179
 
0.7%
won 166
 
0.7%
Other values (2120) 11338
47.2%
2023-12-12T10:07:06.876406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18583
21.3%
O 9331
 
10.7%
n 5801
 
6.6%
e 5635
 
6.4%
o 5472
 
6.3%
a 4717
 
5.4%
i 4488
 
5.1%
u 2817
 
3.2%
g 2037
 
2.3%
h 1951
 
2.2%
Other values (95) 26589
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44639
51.1%
Uppercase Letter 23794
27.2%
Space Separator 18583
21.3%
Other Punctuation 124
 
0.1%
Decimal Number 84
 
0.1%
Dash Punctuation 57
 
0.1%
Other Letter 54
 
0.1%
Open Punctuation 33
 
< 0.1%
Close Punctuation 33
 
< 0.1%
Letter Number 16
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 5801
13.0%
e 5635
12.6%
o 5472
12.3%
a 4717
10.6%
i 4488
10.1%
u 2817
 
6.3%
g 2037
 
4.6%
h 1951
 
4.4%
r 1889
 
4.2%
m 1864
 
4.2%
Other values (19) 7968
17.8%
Other Letter
ValueCountFrequency (%)
璟 4
 
7.4%
徐 4
 
7.4%
秦 4
 
7.4%
利 4
 
7.4%
江 3
 
5.6%
張 3
 
5.6%
筠 2
 
3.7%
白 2
 
3.7%
宋 2
 
3.7%
鴻 2
 
3.7%
Other values (19) 24
44.4%
Uppercase Letter
ValueCountFrequency (%)
O 9331
39.2%
K 1885
 
7.9%
S 1601
 
6.7%
H 1441
 
6.1%
J 1279
 
5.4%
L 1236
 
5.2%
C 1052
 
4.4%
Y 898
 
3.8%
M 689
 
2.9%
P 639
 
2.7%
Other values (17) 3743
15.7%
Decimal Number
ValueCountFrequency (%)
0 49
58.3%
2 8
 
9.5%
3 7
 
8.3%
4 7
 
8.3%
6 5
 
6.0%
1 4
 
4.8%
5 3
 
3.6%
7 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 48
38.7%
. 39
31.5%
' 21
16.9%
& 14
 
11.3%
· 2
 
1.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
50.0%
Ⅹ 8
50.0%
Space Separator
ValueCountFrequency (%)
18583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 68449
78.3%
Common 18918
 
21.6%
Han 54
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 9331
 
13.6%
n 5801
 
8.5%
e 5635
 
8.2%
o 5472
 
8.0%
a 4717
 
6.9%
i 4488
 
6.6%
u 2817
 
4.1%
g 2037
 
3.0%
h 1951
 
2.9%
r 1889
 
2.8%
Other values (48) 24311
35.5%
Han
ValueCountFrequency (%)
璟 4
 
7.4%
徐 4
 
7.4%
秦 4
 
7.4%
利 4
 
7.4%
江 3
 
5.6%
張 3
 
5.6%
筠 2
 
3.7%
白 2
 
3.7%
宋 2
 
3.7%
鴻 2
 
3.7%
Other values (19) 24
44.4%
Common
ValueCountFrequency (%)
18583
98.2%
- 57
 
0.3%
0 49
 
0.3%
, 48
 
0.3%
. 39
 
0.2%
( 33
 
0.2%
) 33
 
0.2%
' 21
 
0.1%
& 14
 
0.1%
2 8
 
< 0.1%
Other values (8) 33
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87339
99.9%
CJK 54
 
0.1%
Number Forms 16
 
< 0.1%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18583
21.3%
O 9331
 
10.7%
n 5801
 
6.6%
e 5635
 
6.5%
o 5472
 
6.3%
a 4717
 
5.4%
i 4488
 
5.1%
u 2817
 
3.2%
g 2037
 
2.3%
h 1951
 
2.2%
Other values (59) 26507
30.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
50.0%
Ⅹ 8
50.0%
None
ValueCountFrequency (%)
ß 5
41.7%
Ø 2
 
16.7%
· 2
 
16.7%
ł 2
 
16.7%
ø 1
 
8.3%
CJK
ValueCountFrequency (%)
璟 4
 
7.4%
徐 4
 
7.4%
秦 4
 
7.4%
利 4
 
7.4%
江 3
 
5.6%
張 3
 
5.6%
筠 2
 
3.7%
白 2
 
3.7%
宋 2
 
3.7%
鴻 2
 
3.7%
Other values (19) 24
44.4%

작품명(국문)
Text

MISSING 

Distinct7706
Distinct (%)83.0%
Missing714
Missing (%)7.1%
Memory size156.2 KiB
2023-12-12T10:07:07.331299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length7.5143226
Min length1

Characters and Unicode

Total characters69778
Distinct characters1537
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6921 ?
Unique (%)74.5%

Sample

1st row맵 보드@요코하마
2nd row예술가의 만찬
3rd row대기의 기억 속으로
4th row기대어 서다
5th row용기_5 Kumme
ValueCountFrequency (%)
280
 
1.5%
1 106
 
0.6%
2 104
 
0.6%
시리즈 87
 
0.5%
브로치 87
 
0.5%
의자 86
 
0.5%
무제 80
 
0.4%
목걸이 78
 
0.4%
꽃 67
 
0.4%
위한 63
 
0.3%
Other values (9473) 17826
94.5%
2023-12-12T10:07:07.902989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9643
 
13.8%
의 1281
 
1.8%
이 1149
 
1.6%
리 888
 
1.3%
- 874
 
1.3%
1 851
 
1.2%
자 848
 
1.2%
기 798
 
1.1%
0 752
 
1.1%
2 706
 
1.0%
Other values (1527) 51988
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46600
66.8%
Space Separator 9643
 
13.8%
Lowercase Letter 4254
 
6.1%
Decimal Number 3678
 
5.3%
Uppercase Letter 1517
 
2.2%
Other Punctuation 1473
 
2.1%
Dash Punctuation 874
 
1.3%
Close Punctuation 634
 
0.9%
Open Punctuation 634
 
0.9%
Letter Number 230
 
0.3%
Other values (6) 241
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1281
 
2.7%
이 1149
 
2.5%
리 888
 
1.9%
자 848
 
1.8%
기 798
 
1.7%
지 580
 
1.2%
다 575
 
1.2%
시 543
 
1.2%
스 530
 
1.1%
나 447
 
1.0%
Other values (1412) 38961
83.6%
Lowercase Letter
ValueCountFrequency (%)
e 497
11.7%
o 406
 
9.5%
a 359
 
8.4%
i 341
 
8.0%
n 309
 
7.3%
r 293
 
6.9%
t 286
 
6.7%
s 255
 
6.0%
l 237
 
5.6%
m 161
 
3.8%
Other values (16) 1110
26.1%
Uppercase Letter
ValueCountFrequency (%)
I 284
18.7%
N 106
 
7.0%
S 104
 
6.9%
A 82
 
5.4%
T 82
 
5.4%
L 71
 
4.7%
C 67
 
4.4%
M 64
 
4.2%
B 63
 
4.2%
W 58
 
3.8%
Other values (16) 536
35.3%
Other Punctuation
ValueCountFrequency (%)
, 529
35.9%
. 297
20.2%
" 250
17.0%
# 82
 
5.6%
: 71
 
4.8%
/ 51
 
3.5%
· 46
 
3.1%
& 45
 
3.1%
' 38
 
2.6%
! 22
 
1.5%
Other values (4) 42
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 82
35.7%
Ⅰ 63
27.4%
Ⅲ 36
15.7%
Ⅳ 20
 
8.7%
Ⅵ 8
 
3.5%
Ⅴ 8
 
3.5%
Ⅹ 5
 
2.2%
Ⅷ 3
 
1.3%
Ⅶ 3
 
1.3%
Ⅸ 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 851
23.1%
0 752
20.4%
2 706
19.2%
3 323
 
8.8%
9 285
 
7.7%
5 172
 
4.7%
7 172
 
4.7%
4 156
 
4.2%
6 140
 
3.8%
8 121
 
3.3%
Math Symbol
ValueCountFrequency (%)
+ 32
44.4%
~ 15
20.8%
> 11
 
15.3%
< 11
 
15.3%
→ 1
 
1.4%
∝ 1
 
1.4%
= 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 614
96.8%
』 11
 
1.7%
] 5
 
0.8%
」 3
 
0.5%
》 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 614
96.8%
『 11
 
1.7%
[ 5
 
0.8%
「 3
 
0.5%
《 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
○ 3
60.0%
↗ 1
 
20.0%
★ 1
 
20.0%
Final Punctuation
ValueCountFrequency (%)
” 5
55.6%
’ 4
44.4%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
80.0%
“ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
9643
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 874
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 148
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45765
65.6%
Common 17177
 
24.6%
Latin 6001
 
8.6%
Han 835
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1281
 
2.8%
이 1149
 
2.5%
리 888
 
1.9%
자 848
 
1.9%
기 798
 
1.7%
지 580
 
1.3%
다 575
 
1.3%
시 543
 
1.2%
스 530
 
1.2%
나 447
 
1.0%
Other values (1022) 38126
83.3%
Han
ValueCountFrequency (%)
器 23
 
2.8%
木 17
 
2.0%
道 13
 
1.6%
山 12
 
1.4%
石 11
 
1.3%
刀 11
 
1.3%
目 11
 
1.3%
花 10
 
1.2%
雨 9
 
1.1%
生 8
 
1.0%
Other values (380) 710
85.0%
Latin
ValueCountFrequency (%)
e 497
 
8.3%
o 406
 
6.8%
a 359
 
6.0%
i 341
 
5.7%
n 309
 
5.1%
r 293
 
4.9%
t 286
 
4.8%
I 284
 
4.7%
s 255
 
4.2%
l 237
 
3.9%
Other values (53) 2734
45.6%
Common
ValueCountFrequency (%)
9643
56.1%
- 874
 
5.1%
1 851
 
5.0%
0 752
 
4.4%
2 706
 
4.1%
) 614
 
3.6%
( 614
 
3.6%
, 529
 
3.1%
3 323
 
1.9%
. 297
 
1.7%
Other values (42) 1974
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45752
65.6%
ASCII 22845
32.7%
CJK 813
 
1.2%
Number Forms 230
 
0.3%
None 76
 
0.1%
CJK Compat Ideographs 22
 
< 0.1%
Punctuation 18
 
< 0.1%
Compat Jamo 13
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9643
42.2%
- 874
 
3.8%
1 851
 
3.7%
0 752
 
3.3%
2 706
 
3.1%
) 614
 
2.7%
( 614
 
2.7%
, 529
 
2.3%
e 497
 
2.2%
o 406
 
1.8%
Other values (76) 7359
32.2%
Hangul
ValueCountFrequency (%)
의 1281
 
2.8%
이 1149
 
2.5%
리 888
 
1.9%
자 848
 
1.9%
기 798
 
1.7%
지 580
 
1.3%
다 575
 
1.3%
시 543
 
1.2%
스 530
 
1.2%
나 447
 
1.0%
Other values (1017) 38113
83.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 82
35.7%
Ⅰ 63
27.4%
Ⅲ 36
15.7%
Ⅳ 20
 
8.7%
Ⅵ 8
 
3.5%
Ⅴ 8
 
3.5%
Ⅹ 5
 
2.2%
Ⅷ 3
 
1.3%
Ⅶ 3
 
1.3%
Ⅸ 1
 
0.4%
None
ValueCountFrequency (%)
· 46
60.5%
』 11
 
14.5%
『 11
 
14.5%
」 3
 
3.9%
「 3
 
3.9%
《 1
 
1.3%
》 1
 
1.3%
CJK
ValueCountFrequency (%)
器 23
 
2.8%
木 17
 
2.1%
道 13
 
1.6%
山 12
 
1.5%
石 11
 
1.4%
刀 11
 
1.4%
目 11
 
1.4%
花 10
 
1.2%
雨 9
 
1.1%
生 8
 
1.0%
Other values (369) 688
84.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
46.2%
ㅎ 3
23.1%
ㅣ 2
 
15.4%
ㅅ 1
 
7.7%
ㄱ 1
 
7.7%
Punctuation
ValueCountFrequency (%)
” 5
27.8%
… 4
22.2%
‘ 4
22.2%
’ 4
22.2%
“ 1
 
5.6%
CJK Compat Ideographs
ValueCountFrequency (%)
不 4
18.2%
女 3
13.6%
律 3
13.6%
蓮 3
13.6%
輪 2
9.1%
金 2
9.1%
理 1
 
4.5%
靈 1
 
4.5%
車 1
 
4.5%
連 1
 
4.5%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 2
100.0%
Arrows
ValueCountFrequency (%)
→ 1
50.0%
↗ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%
Math Operators
ValueCountFrequency (%)
∝ 1
100.0%

작품명(영문)
Text

MISSING 

Distinct7035
Distinct (%)86.4%
Missing1860
Missing (%)18.6%
Memory size156.2 KiB
2023-12-12T10:07:08.345905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length87
Mean length16.76683
Min length1

Characters and Unicode

Total characters136482
Distinct characters182
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6448 ?
Unique (%)79.2%

Sample

1st rowMap Board@Yokohama
2nd rowThe Supper of Artist
3rd rowInto the Air's Memory
4th rowUnited We Stand
5th rowVessel_5 Kumme
ValueCountFrequency (%)
the 761
 
3.4%
of 724
 
3.2%
364
 
1.6%
a 306
 
1.4%
and 301
 
1.3%
with 249
 
1.1%
in 213
 
1.0%
chair 146
 
0.7%
series 136
 
0.6%
for 128
 
0.6%
Other values (6919) 18989
85.1%
2023-12-12T10:07:08.951096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14250
 
10.4%
e 13335
 
9.8%
a 8805
 
6.5%
o 8356
 
6.1%
i 7835
 
5.7%
n 7438
 
5.4%
r 7274
 
5.3%
t 7084
 
5.2%
l 5518
 
4.0%
s 5228
 
3.8%
Other values (172) 51359
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 99444
72.9%
Uppercase Letter 15466
 
11.3%
Space Separator 14250
 
10.4%
Decimal Number 3255
 
2.4%
Other Punctuation 1708
 
1.3%
Dash Punctuation 1127
 
0.8%
Close Punctuation 341
 
0.2%
Open Punctuation 341
 
0.2%
Letter Number 215
 
0.2%
Connector Punctuation 152
 
0.1%
Other values (7) 183
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㆍ 5
 
4.8%
지 4
 
3.8%
페 4
 
3.8%
이 4
 
3.8%
조 4
 
3.8%
하 4
 
3.8%
빅 4
 
3.8%
圓 3
 
2.9%
覺 3
 
2.9%
滿 3
 
2.9%
Other values (57) 66
63.5%
Uppercase Letter
ValueCountFrequency (%)
S 1674
 
10.8%
T 1337
 
8.6%
C 1167
 
7.5%
B 1117
 
7.2%
P 1030
 
6.7%
L 778
 
5.0%
F 776
 
5.0%
M 767
 
5.0%
A 699
 
4.5%
W 683
 
4.4%
Other values (21) 5438
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 13335
13.4%
a 8805
 
8.9%
o 8356
 
8.4%
i 7835
 
7.9%
n 7438
 
7.5%
r 7274
 
7.3%
t 7084
 
7.1%
l 5518
 
5.5%
s 5228
 
5.3%
h 3553
 
3.6%
Other values (16) 25018
25.2%
Other Punctuation
ValueCountFrequency (%)
, 484
28.3%
" 320
18.7%
. 249
14.6%
' 184
 
10.8%
& 116
 
6.8%
# 107
 
6.3%
: 81
 
4.7%
/ 61
 
3.6%
; 30
 
1.8%
· 30
 
1.8%
Other values (4) 46
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 79
36.7%
Ⅰ 63
29.3%
Ⅲ 33
15.3%
Ⅳ 18
 
8.4%
Ⅴ 6
 
2.8%
Ⅵ 6
 
2.8%
Ⅹ 5
 
2.3%
Ⅷ 2
 
0.9%
Ⅸ 1
 
0.5%
ⅳ 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 765
23.5%
0 723
22.2%
2 638
19.6%
3 292
 
9.0%
9 247
 
7.6%
4 133
 
4.1%
5 132
 
4.1%
7 127
 
3.9%
6 104
 
3.2%
8 94
 
2.9%
Math Symbol
ValueCountFrequency (%)
+ 37
56.1%
< 9
 
13.6%
> 9
 
13.6%
~ 7
 
10.6%
= 2
 
3.0%
∝ 1
 
1.5%
→ 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 335
98.2%
] 5
 
1.5%
」 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 335
98.2%
[ 5
 
1.5%
「 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
○ 3
60.0%
★ 1
 
20.0%
↗ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
14250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1127
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 152
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 115120
84.3%
Common 21253
 
15.6%
Han 59
 
< 0.1%
Hangul 45
 
< 0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13335
 
11.6%
a 8805
 
7.6%
o 8356
 
7.3%
i 7835
 
6.8%
n 7438
 
6.5%
r 7274
 
6.3%
t 7084
 
6.2%
l 5518
 
4.8%
s 5228
 
4.5%
h 3553
 
3.1%
Other values (53) 40694
35.3%
Common
ValueCountFrequency (%)
14250
67.0%
- 1127
 
5.3%
1 765
 
3.6%
0 723
 
3.4%
2 638
 
3.0%
, 484
 
2.3%
) 335
 
1.6%
( 335
 
1.6%
" 320
 
1.5%
3 292
 
1.4%
Other values (37) 1984
 
9.3%
Han
ValueCountFrequency (%)
圓 3
 
5.1%
覺 3
 
5.1%
滿 3
 
5.1%
洗 3
 
5.1%
暗 2
 
3.4%
意 2
 
3.4%
器 2
 
3.4%
六 2
 
3.4%
識 2
 
3.4%
列 2
 
3.4%
Other values (34) 35
59.3%
Hangul
ValueCountFrequency (%)
ㆍ 5
 
11.1%
지 4
 
8.9%
페 4
 
8.9%
이 4
 
8.9%
조 4
 
8.9%
하 4
 
8.9%
빅 4
 
8.9%
프 1
 
2.2%
레 1
 
2.2%
올 1
 
2.2%
Other values (13) 13
28.9%
Greek
ValueCountFrequency (%)
Θ 1
20.0%
Χ 1
20.0%
Υ 1
20.0%
Ι 1
20.0%
Σ 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 136105
99.7%
Number Forms 215
 
0.2%
CJK 59
 
< 0.1%
None 38
 
< 0.1%
Hangul 37
 
< 0.1%
Punctuation 10
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Modifier Letters 3
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Arrows 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14250
 
10.5%
e 13335
 
9.8%
a 8805
 
6.5%
o 8356
 
6.1%
i 7835
 
5.8%
n 7438
 
5.5%
r 7274
 
5.3%
t 7084
 
5.2%
l 5518
 
4.1%
s 5228
 
3.8%
Other values (76) 50982
37.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 79
36.7%
Ⅰ 63
29.3%
Ⅲ 33
15.3%
Ⅳ 18
 
8.4%
Ⅴ 6
 
2.8%
Ⅵ 6
 
2.8%
Ⅹ 5
 
2.3%
Ⅷ 2
 
0.9%
Ⅸ 1
 
0.5%
ⅳ 1
 
0.5%
None
ValueCountFrequency (%)
· 30
78.9%
Θ 1
 
2.6%
Χ 1
 
2.6%
Υ 1
 
2.6%
Ι 1
 
2.6%
Σ 1
 
2.6%
² 1
 
2.6%
「 1
 
2.6%
」 1
 
2.6%
Punctuation
ValueCountFrequency (%)
… 6
60.0%
’ 2
 
20.0%
“ 2
 
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
62.5%
ㅅ 1
 
12.5%
ㄱ 1
 
12.5%
ㄷ 1
 
12.5%
Hangul
ValueCountFrequency (%)
지 4
10.8%
페 4
10.8%
이 4
10.8%
조 4
10.8%
하 4
10.8%
빅 4
10.8%
프 1
 
2.7%
레 1
 
2.7%
올 1
 
2.7%
석 1
 
2.7%
Other values (9) 9
24.3%
Modifier Letters
ValueCountFrequency (%)
˚ 3
100.0%
CJK
ValueCountFrequency (%)
圓 3
 
5.1%
覺 3
 
5.1%
滿 3
 
5.1%
洗 3
 
5.1%
暗 2
 
3.4%
意 2
 
3.4%
器 2
 
3.4%
六 2
 
3.4%
識 2
 
3.4%
列 2
 
3.4%
Other values (34) 35
59.3%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%
Math Operators
ValueCountFrequency (%)
∝ 1
100.0%
Arrows
ValueCountFrequency (%)
↗ 1
50.0%
→ 1
50.0%

Interactions

2023-12-12T10:07:02.873208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:07:02.694906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:07:02.959657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:07:02.775535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:07:09.079797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회차년도행사 주제행사 기간전시 구분
회차1.0001.0001.0001.0000.843
년도1.0001.0001.0001.0000.829
행사 주제1.0001.0001.0001.0000.810
행사 기간1.0001.0001.0001.0000.810
전시 구분0.8430.8290.8100.8101.000
2023-12-12T10:07:09.189250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전시 구분행사 주제행사 기간
전시 구분1.0000.5080.508
행사 주제0.5081.0001.000
행사 기간0.5081.0001.000
2023-12-12T10:07:09.284150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회차년도행사 주제행사 기간전시 구분
회차1.0000.9971.0001.0000.412
년도0.9971.0001.0001.0000.411
행사 주제1.0001.0001.0001.0000.508
행사 기간1.0001.0001.0001.0000.508
전시 구분0.4120.4110.5080.5081.000

Missing values

2023-12-12T10:07:03.071759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:07:03.214768image/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.
2023-12-12T10:07:03.339663image/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

회차년도행사 주제행사 기간전시 구분작가명(국문)작가명(영문)작품명(국문)작품명(영문)
1794112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17본전시/기획전마루야마O스케Maruyama O맵 보드@요코하마Map Board@Yokohama
19111999조화의 손(Hands of Harmony)1999-09-30~1999-10-31국제초대작가전송O수Song O Soo예술가의 만찬The Supper of Artist
511242005유혹(Temptation)2005-09-30~2005-10-23본전시/기획전카호O버트OKaho O대기의 기억 속으로Into the Air's Memory
597962009만남을 찾아서(outside the box)2009-09-23~2009-11-01초대국가관롭O우스콧Rob O기대어 서다United We Stand
845882013익숙함 그리고 새로움(SOMETHING OLD SOMETHING NEW)2013-09-11~2013-10-20초대국가관구이도O글레Guido O용기_5 KummeVessel_5 Kumme
576752007창조적 진화_깊고 느리게(Creative Evolution, deeply and slowly)2007-10-02~2007-10-28공모전피오나O치슨Fiona O두 개의 조류가 만나는 지점Where Two Tides Meet
417432003쓰임(Use)2003-10-01~2003-10-19특별전조O호<NA>꿈<NA>
2374112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17본전시/기획전이O윤Lee O Yoon김씨의 자가용Mr.Kim's private Vehicle
25711999조화의 손(Hands of Harmony)1999-09-30~1999-10-31공모전유O근Yu O Keun광파(光波)Light Wave
2284112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17특별전이O강Lee O Kang옮겨진 풍경_감천마을Moved Landscape G
회차년도행사 주제행사 기간전시 구분작가명(국문)작가명(영문)작품명(국문)작품명(영문)
634362009만남을 찾아서(outside the box)2009-09-23~2009-11-01생활공예명품전이O엽Lee O Yup명주베개Silk Pillow
750972011유용지물有用之物(not the new, just the necessary)2011-09-21~2011-10-30본전시/기획전원O식Won O Sik혜인사종(조선범종)heainsa bell
10957112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17본전시/기획전손O귀Son O Wi물고기 IIFish II
386832003쓰임(Use)2003-10-01~2003-10-19생활공예명품전박O숙Park O Sook수구Cooling Bowl
1056332006제3회 청주공예문화상품대전2006-10-12~2006-10-29기타이O기<NA>전통 혼례를 모티브로 한 생활용품 디자인제안<NA>
702272011유용지물有用之物(not the new, just the necessary)2011-09-21~2011-10-30본전시/기획전마르셀O더스Marcel O밍 베이스moooi, ming vase
431542005유혹(Temptation)2005-09-30~2005-10-23국제초대작가전김O환Kim O Hwan함지박Hamjibak
752102017Hands+ 품다()2017-09-13~2017-10-22페어박O수Park O su아크릴스피커<NA>
1813112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17특별전맹O희Maeng O Hee미지의 세계The Unknown World
592162009만남을 찾아서(outside the box)2009-09-23~2009-11-01초대국가관니콜라O뇽Nicola O해안가의 바위Rocks on the Beech

Duplicate rows

Most frequently occurring

회차년도행사 주제행사 기간전시 구분작가명(국문)작가명(영문)작품명(국문)작품명(영문)# duplicates
32792015Hands+ 확장과 공존()2015-09-16~2015-10-25본전시/기획전한국O수O물관The O of O Embroidery명주 보자기Pojagi in Silk48
12652007창조적 진화_깊고 느리게(Creative Evolution, deeply and slowly)2007-10-02~2007-10-28본전시/기획전윤O일Yoon O Yil구축적 인간을 위한 습작-포즈An Etude for Human Construct - Pose9
16562009만남을 찾아서(outside the box)2009-09-23~2009-11-01본전시/기획전하이메O욘Jaime O공연시간-꽃병Showtime vase9
379112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17특별전김O원<NA>맨드라미<NA>9
1732003쓰임(Use)2003-10-01~2003-10-19공모전이O은Lee O Eun복숭아Peach7
9342005유혹(Temptation)2005-09-30~2005-10-23공모전변O형Byun O Hyung꽃을 준비하는 마음Meaning of Flower6
25682013익숙함 그리고 새로움(SOMETHING OLD SOMETHING NEW)2013-09-11~2013-10-20특별전김O언Kim O Un선의 변주Variation of line6
31892015Hands+ 확장과 공존()2015-09-16~2015-10-25본전시/기획전이O범Lee O Bum청자의 변주 ⅠVariation of Celadon Ⅰ6
375112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17초대국가관칼O밀O콥센Carl O Jacobsen반쪽들Half Pieces6
380112019미래와 꿈의 공예-몽유도원이 펼쳐지다(Dreaming the Crafts of the Future-Mongyudowon Unfolds)2019-10-08~2019-11-17특별전김O원<NA>무제<NA>6