Overview

Dataset statistics

Number of variables5
Number of observations372
Missing cells35
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory40.4 B

Variable types

Unsupported1
Text3
Categorical1

Dataset

Description2006년 무용 공연, 페스티벌, 세미나 등 공연예술 관련 정보(공연명, 장소, 일시, 부문 등 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076531/fileData.do

Alerts

내용 has 33 (8.9%) missing valuesMissing
일시(공연횟수) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:10:44.625017
Analysis finished2023-12-12 07:10:45.537839
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일시(공연횟수)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

공연명
Text

Distinct356
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T16:10:45.786704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length34
Mean length16.298387
Min length5

Characters and Unicode

Total characters6063
Distinct characters486
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

Unique345 ?
Unique (%)92.7%

Sample

1st row풍류춤판 ‘바람의 도학'
2nd row국립발레단 스페셜 신년 갈라
3rd row국립발레단 스페셜 신년 갈라
4th row장은정의 춤
5th row제11회 바뇰레 서울 안무대회
ValueCountFrequency (%)
공연 113
 
8.6%
2006 37
 
2.8%
정기공연 27
 
2.0%
춤 23
 
1.7%
한국창작춤 13
 
1.0%
무용단 11
 
0.8%
메소드 10
 
0.8%
해설이 10
 
0.8%
있는 9
 
0.7%
예전무용단 8
 
0.6%
Other values (800) 1059
80.2%
2023-12-12T16:10:46.309585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
 
15.7%
연 233
 
3.8%
공 228
 
3.8%
무 204
 
3.4%
단 138
 
2.3%
용 138
 
2.3%
0 115
 
1.9%
춤 112
 
1.8%
의 84
 
1.4%
발 72
 
1.2%
Other values (476) 3787
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4356
71.8%
Space Separator 952
 
15.7%
Decimal Number 324
 
5.3%
Lowercase Letter 143
 
2.4%
Uppercase Letter 98
 
1.6%
Other Punctuation 57
 
0.9%
Initial Punctuation 52
 
0.9%
Final Punctuation 37
 
0.6%
Dash Punctuation 17
 
0.3%
Open Punctuation 11
 
0.2%
Other values (2) 16
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 233
 
5.3%
공 228
 
5.2%
무 204
 
4.7%
단 138
 
3.2%
용 138
 
3.2%
춤 112
 
2.6%
의 84
 
1.9%
발 72
 
1.7%
레 72
 
1.7%
기 71
 
1.6%
Other values (403) 3004
69.0%
Lowercase Letter
ValueCountFrequency (%)
a 19
13.3%
e 17
11.9%
o 13
9.1%
r 11
 
7.7%
t 11
 
7.7%
n 10
 
7.0%
l 9
 
6.3%
s 9
 
6.3%
i 9
 
6.3%
g 7
 
4.9%
Other values (11) 28
19.6%
Uppercase Letter
ValueCountFrequency (%)
D 9
 
9.2%
I 9
 
9.2%
C 7
 
7.1%
G 6
 
6.1%
L 6
 
6.1%
N 6
 
6.1%
O 6
 
6.1%
M 6
 
6.1%
A 6
 
6.1%
B 5
 
5.1%
Other values (11) 32
32.7%
Decimal Number
ValueCountFrequency (%)
0 115
35.5%
2 68
21.0%
6 58
17.9%
1 29
 
9.0%
4 12
 
3.7%
3 10
 
3.1%
7 8
 
2.5%
9 8
 
2.5%
5 8
 
2.5%
8 8
 
2.5%
Other Punctuation
ValueCountFrequency (%)
' 27
47.4%
, 15
26.3%
! 5
 
8.8%
& 4
 
7.0%
. 3
 
5.3%
• 2
 
3.5%
? 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
> 2
28.6%
< 2
28.6%
＞ 2
28.6%
+ 1
14.3%
Open Punctuation
ValueCountFrequency (%)
〈 6
54.5%
（ 4
36.4%
( 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
〉 4
44.4%
) 3
33.3%
） 2
22.2%
Space Separator
ValueCountFrequency (%)
952
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 52
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4342
71.6%
Common 1466
 
24.2%
Latin 241
 
4.0%
Han 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 233
 
5.4%
공 228
 
5.3%
무 204
 
4.7%
단 138
 
3.2%
용 138
 
3.2%
춤 112
 
2.6%
의 84
 
1.9%
발 72
 
1.7%
레 72
 
1.7%
기 71
 
1.6%
Other values (392) 2990
68.9%
Latin
ValueCountFrequency (%)
a 19
 
7.9%
e 17
 
7.1%
o 13
 
5.4%
r 11
 
4.6%
t 11
 
4.6%
n 10
 
4.1%
D 9
 
3.7%
l 9
 
3.7%
s 9
 
3.7%
i 9
 
3.7%
Other values (32) 124
51.5%
Common
ValueCountFrequency (%)
952
64.9%
0 115
 
7.8%
2 68
 
4.6%
6 58
 
4.0%
‘ 52
 
3.5%
’ 37
 
2.5%
1 29
 
2.0%
' 27
 
1.8%
- 17
 
1.2%
, 15
 
1.0%
Other values (21) 96
 
6.5%
Han
ValueCountFrequency (%)
史 3
21.4%
藝 2
14.3%
堂 1
 
7.1%
秀 1
 
7.1%
年 1
 
7.1%
相 1
 
7.1%
色 1
 
7.1%
生 1
 
7.1%
百 1
 
7.1%
選 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4342
71.6%
ASCII 1598
 
26.4%
Punctuation 91
 
1.5%
None 18
 
0.3%
CJK 14
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
59.6%
0 115
 
7.2%
2 68
 
4.3%
6 58
 
3.6%
1 29
 
1.8%
' 27
 
1.7%
a 19
 
1.2%
e 17
 
1.1%
- 17
 
1.1%
, 15
 
0.9%
Other values (55) 281
 
17.6%
Hangul
ValueCountFrequency (%)
연 233
 
5.4%
공 228
 
5.3%
무 204
 
4.7%
단 138
 
3.2%
용 138
 
3.2%
춤 112
 
2.6%
의 84
 
1.9%
발 72
 
1.7%
레 72
 
1.7%
기 71
 
1.6%
Other values (392) 2990
68.9%
Punctuation
ValueCountFrequency (%)
‘ 52
57.1%
’ 37
40.7%
• 2
 
2.2%
None
ValueCountFrequency (%)
〈 6
33.3%
〉 4
22.2%
（ 4
22.2%
） 2
 
11.1%
＞ 2
 
11.1%
CJK
ValueCountFrequency (%)
史 3
21.4%
藝 2
14.3%
堂 1
 
7.1%
秀 1
 
7.1%
年 1
 
7.1%
相 1
 
7.1%
色 1
 
7.1%
生 1
 
7.1%
百 1
 
7.1%
選 1
 
7.1%

장소
Text

Distinct115
Distinct (%)31.1%
Missing2
Missing (%)0.5%
Memory size3.0 KiB
2023-12-12T16:10:46.604935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length24
Mean length9.1027027
Min length3

Characters and Unicode

Total characters3368
Distinct characters192
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)18.1%

Sample

1st row서울 삼청각 예푸리
2nd row예술의전당 오페라극장
3rd row노원 문화 예술화관
4th row국민대예술관 대극장
5th row국민대예술관 대극장
ValueCountFrequency (%)
국립국악원 64
 
9.3%
대극장 47
 
6.8%
예악당 37
 
5.4%
예술의전당 34
 
4.9%
국립극장 32
 
4.7%
우면당 26
 
3.8%
포스트극장 26
 
3.8%
아르코예술극장 22
 
3.2%
토월극장 16
 
2.3%
달오름극장 16
 
2.3%
Other values (148) 367
53.4%
2023-12-12T16:10:47.017788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
 
9.6%
장 255
 
7.6%
극 249
 
7.4%
국 175
 
5.2%
예 125
 
3.7%
악 101
 
3.0%
당 98
 
2.9%
립 98
 
2.9%
대 87
 
2.6%
술 85
 
2.5%
Other values (182) 1773
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2965
88.0%
Space Separator 322
 
9.6%
Uppercase Letter 72
 
2.1%
Other Punctuation 5
 
0.1%
Decimal Number 2
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 255
 
8.6%
극 249
 
8.4%
국 175
 
5.9%
예 125
 
4.2%
악 101
 
3.4%
당 98
 
3.3%
립 98
 
3.3%
대 87
 
2.9%
술 85
 
2.9%
아 83
 
2.8%
Other values (164) 1609
54.3%
Uppercase Letter
ValueCountFrequency (%)
G 21
29.2%
L 18
25.0%
I 12
16.7%
M 6
 
8.3%
K 2
 
2.8%
B 2
 
2.8%
S 2
 
2.8%
U 2
 
2.8%
D 2
 
2.8%
C 1
 
1.4%
Other values (4) 4
 
5.6%
Space Separator
ValueCountFrequency (%)
322
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Decimal Number
ValueCountFrequency (%)
6 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2965
88.0%
Common 331
 
9.8%
Latin 72
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 255
 
8.6%
극 249
 
8.4%
국 175
 
5.9%
예 125
 
4.2%
악 101
 
3.4%
당 98
 
3.3%
립 98
 
3.3%
대 87
 
2.9%
술 85
 
2.9%
아 83
 
2.8%
Other values (164) 1609
54.3%
Latin
ValueCountFrequency (%)
G 21
29.2%
L 18
25.0%
I 12
16.7%
M 6
 
8.3%
K 2
 
2.8%
B 2
 
2.8%
S 2
 
2.8%
U 2
 
2.8%
D 2
 
2.8%
C 1
 
1.4%
Other values (4) 4
 
5.6%
Common
ValueCountFrequency (%)
322
97.3%
, 5
 
1.5%
6 2
 
0.6%
- 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2965
88.0%
ASCII 403
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
79.9%
G 21
 
5.2%
L 18
 
4.5%
I 12
 
3.0%
M 6
 
1.5%
, 5
 
1.2%
K 2
 
0.5%
B 2
 
0.5%
S 2
 
0.5%
U 2
 
0.5%
Other values (8) 11
 
2.7%
Hangul
ValueCountFrequency (%)
장 255
 
8.6%
극 249
 
8.4%
국 175
 
5.9%
예 125
 
4.2%
악 101
 
3.4%
당 98
 
3.3%
립 98
 
3.3%
대 87
 
2.9%
술 85
 
2.9%
아 83
 
2.8%
Other values (164) 1609
54.3%

내용
Text

MISSING 

Distinct327
Distinct (%)96.5%
Missing33
Missing (%)8.9%
Memory size3.0 KiB
2023-12-12T16:10:47.268427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length188
Median length67
Mean length21.705015
Min length3

Characters and Unicode

Total characters7358
Distinct characters625
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)93.8%

Sample

1st row걍수잔，마뉴엘 레그리, 유지연, 이고르 콜브, 배주윤, 안드레이 볼로틴, 김주원, 장운규 등 출연
2nd row〈심포니 인 씨〉,〈까밀리아의 여인들〉,〈탱고〉외
3rd row<Q&A>
4th row주최 한국현대무용진흥회
5th row<바보온달과 평강공주의 시소게임〉
ValueCountFrequency (%)
외 26
 
2.1%
안무 20
 
1.6%
주최 18
 
1.5%
출연 16
 
1.3%
11
 
0.9%
〈호두까기 7
 
0.6%
찾아가는 4
 
0.3%
인형〉 4
 
0.3%
박호빈 4
 
0.3%
김은희 4
 
0.3%
Other values (1049) 1127
90.8%
2023-12-12T16:10:47.760198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
903
 
12.3%
〈 530
 
7.2%
, 422
 
5.7%
〉 403
 
5.5%
무 219
 
3.0%
춤 109
 
1.5%
안 107
 
1.5%
이 99
 
1.3%
> 77
 
1.0%
외 76
 
1.0%
Other values (615) 4413
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4168
56.6%
Space Separator 903
 
12.3%
Open Punctuation 550
 
7.5%
Other Punctuation 492
 
6.7%
Close Punctuation 446
 
6.1%
Lowercase Letter 436
 
5.9%
Math Symbol 157
 
2.1%
Uppercase Letter 135
 
1.8%
Decimal Number 41
 
0.6%
Dash Punctuation 17
 
0.2%
Other values (5) 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 219
 
5.3%
춤 109
 
2.6%
안 107
 
2.6%
이 99
 
2.4%
외 76
 
1.8%
의 68
 
1.6%
정 62
 
1.5%
김 61
 
1.5%
주 59
 
1.4%
리 59
 
1.4%
Other values (521) 3249
78.0%
Uppercase Letter
ValueCountFrequency (%)
I 15
 
11.1%
C 11
 
8.1%
W 10
 
7.4%
M 9
 
6.7%
T 9
 
6.7%
S 8
 
5.9%
E 8
 
5.9%
D 7
 
5.2%
B 6
 
4.4%
O 5
 
3.7%
Other values (15) 47
34.8%
Lowercase Letter
ValueCountFrequency (%)
e 53
12.2%
o 44
 
10.1%
n 38
 
8.7%
a 35
 
8.0%
i 33
 
7.6%
t 30
 
6.9%
r 27
 
6.2%
s 24
 
5.5%
h 23
 
5.3%
l 18
 
4.1%
Other values (13) 111
25.5%
Other Punctuation
ValueCountFrequency (%)
, 422
85.8%
. 34
 
6.9%
& 7
 
1.4%
， 6
 
1.2%
/ 6
 
1.2%
' 3
 
0.6%
? 3
 
0.6%
… 3
 
0.6%
! 2
 
0.4%
• 2
 
0.4%
Other values (4) 4
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 12
29.3%
2 9
22.0%
6 6
14.6%
1 5
12.2%
4 3
 
7.3%
5 3
 
7.3%
7 2
 
4.9%
3 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
> 77
49.0%
＞ 48
30.6%
< 26
 
16.6%
＜ 4
 
2.5%
= 1
 
0.6%
~ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
〉 403
90.4%
） 29
 
6.5%
) 9
 
2.0%
》 4
 
0.9%
］ 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
〈 530
96.4%
（ 17
 
3.1%
( 3
 
0.5%
Other Symbol
ValueCountFrequency (%)
▽ 1
33.3%
☆ 1
33.3%
® 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 15
88.2%
— 2
 
11.8%
Space Separator
ValueCountFrequency (%)
903
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4148
56.4%
Common 2617
35.6%
Latin 573
 
7.8%
Han 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 219
 
5.3%
춤 109
 
2.6%
안 107
 
2.6%
이 99
 
2.4%
외 76
 
1.8%
의 68
 
1.6%
정 62
 
1.5%
김 61
 
1.5%
주 59
 
1.4%
리 59
 
1.4%
Other values (503) 3229
77.8%
Latin
ValueCountFrequency (%)
e 53
 
9.2%
o 44
 
7.7%
n 38
 
6.6%
a 35
 
6.1%
i 33
 
5.8%
t 30
 
5.2%
r 27
 
4.7%
s 24
 
4.2%
h 23
 
4.0%
l 18
 
3.1%
Other values (39) 248
43.3%
Common
ValueCountFrequency (%)
903
34.5%
〈 530
20.3%
, 422
16.1%
〉 403
15.4%
> 77
 
2.9%
＞ 48
 
1.8%
. 34
 
1.3%
） 29
 
1.1%
< 26
 
1.0%
（ 17
 
0.6%
Other values (35) 128
 
4.9%
Han
ValueCountFrequency (%)
中 3
 
15.0%
想 1
 
5.0%
花 1
 
5.0%
氷 1
 
5.0%
一 1
 
5.0%
流 1
 
5.0%
詩 1
 
5.0%
多 1
 
5.0%
樂 1
 
5.0%
房 1
 
5.0%
Other values (8) 8
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4145
56.3%
ASCII 2130
28.9%
None 1043
 
14.2%
CJK 20
 
0.3%
Punctuation 13
 
0.2%
Compat Jamo 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
903
42.4%
, 422
19.8%
> 77
 
3.6%
e 53
 
2.5%
o 44
 
2.1%
n 38
 
1.8%
a 35
 
1.6%
. 34
 
1.6%
i 33
 
1.5%
t 30
 
1.4%
Other values (66) 461
21.6%
None
ValueCountFrequency (%)
〈 530
50.8%
〉 403
38.6%
＞ 48
 
4.6%
） 29
 
2.8%
（ 17
 
1.6%
， 6
 
0.6%
＜ 4
 
0.4%
》 4
 
0.4%
］ 1
 
0.1%
® 1
 
0.1%
Hangul
ValueCountFrequency (%)
무 219
 
5.3%
춤 109
 
2.6%
안 107
 
2.6%
이 99
 
2.4%
외 76
 
1.8%
의 68
 
1.6%
정 62
 
1.5%
김 61
 
1.5%
주 59
 
1.4%
리 59
 
1.4%
Other values (502) 3226
77.8%
Punctuation
ValueCountFrequency (%)
’ 4
30.8%
… 3
23.1%
‘ 2
15.4%
— 2
15.4%
• 2
15.4%
Compat Jamo
ValueCountFrequency (%)
ㅡ 3
100.0%
CJK
ValueCountFrequency (%)
中 3
 
15.0%
想 1
 
5.0%
花 1
 
5.0%
氷 1
 
5.0%
一 1
 
5.0%
流 1
 
5.0%
詩 1
 
5.0%
多 1
 
5.0%
樂 1
 
5.0%
房 1
 
5.0%
Other values (8) 8
40.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
▽ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
☆ 1
100.0%

부문
Categorical

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
현대무용
94 
전통무용
93 
창작무용
71 
발레
58 
종합
41 
Other values (3)
15 

Length

Max length5
Median length4
Mean length3.3978495
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row전통무용
2nd row발레
3rd row발레
4th row현대무용
5th row종합

Common Values

ValueCountFrequency (%)
현대무용 94
25.3%
전통무용 93
25.0%
창작무용 71
19.1%
발레 58
15.6%
종합 41
11.0%
기타 13
 
3.5%
현대무용 1
 
0.3%
발레 1
 
0.3%

Length

2023-12-12T16:10:47.890767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:10:48.026754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현대무용 95
25.5%
전통무용 93
25.0%
창작무용 71
19.1%
발레 59
15.9%
종합 41
11.0%
기타 13
 
3.5%

Missing values

2023-12-12T16:10:45.255028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:10:45.382493image/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.
2023-12-12T16:10:45.477173image/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

일시(공연횟수)공연명장소내용부문
01.2풍류춤판 ‘바람의 도학'서울 삼청각 예푸리<NA>전통무용
11.4-5(2)국립발레단 스페셜 신년 갈라예술의전당 오페라극장걍수잔，마뉴엘 레그리, 유지연, 이고르 콜브, 배주윤, 안드레이 볼로틴, 김주원, 장운규 등 출연발레
21.7국립발레단 스페셜 신년 갈라노원 문화 예술화관〈심포니 인 씨〉,〈까밀리아의 여인들〉,〈탱고〉외발레
31.8장은정의 춤국민대예술관 대극장<Q&A>현대무용
41.9-11(3)제11회 바뇰레 서울 안무대회국민대예술관 대극장주최 한국현대무용진흥회종합
51.11-12(2)이경옥무용단 ‘어른들을 위한 춤동화아르코예술극장 대극장<바보온달과 평강공주의 시소게임〉창작무용
61.14-15(2)김윤정의 춤프로젝트아르코예술극장 대극장〈닻을 내리다-피터를 위한＞현대무용
71.17스페인 무용과음악의 밤정동극장주리 스페인 무용 꼼빠니라 출연기타
81.19-20(2)2006 장선희 창작발레예술의전당 토월극장〈사랑에 관한 일곱 개의 변주〉발레
91.2한국컨템포러리무용단 창단 30주년 기념 공연충무아트홀 대극장육완순 안무〈실크로드III〉, 박명숙 안무 ＜2006 초혼>, 이윤경 안무〈홀로아리랑VI〉현대무용
일시(공연횟수)공연명장소내용부문
36212.20-25(8)유니버설발레단 송년공연세종문화회관 대극장〈호두까기 인형〉발레
36312.21—22(2)서울시무용단 ‘단원 춤작가전’포스트극장전진희 안무 꼬, 꿈에 피다〉, 송미혜 안무〈길을 묻다〉, 김보 건 안무〈미쳐야 미친다〉, 나선주 안무〈낯선 공간＞, 김선미 안무〈가시문＞창작무용
36412.21-25(7)툇마루 무용단의 댄스뮤지컬아르코예술극장 대극장〈겨울이야기〉현대무용
36512.22(1)4회 이승희의 전통춤국립국악원 우면당〈진쇠춤>, 〈검무> 외전통무용
36612.22이정희현대무용단 공연계원예고 내 벽강예술회관〈호두까기 인형〉현대무용
36712.22-23(2)현대무용가 김윤정 공연대학로 쇳대박물관(Disappear)현대무용
36812.22-30(12)국립발레단 송년공연예술의전당 오페라극장〈호두까기 인형〉발레
36912.24-25(3)조승미발레단 성탄가족 큰잔치쉐라톤그랜드워커힐호텔 가야금홀〈유리구두〉발레
37012.28—29(2)젊은 춤이 중심에 서는 열린 공간 만들기 <동화＞스튜디오앙쥬김영미, 기진령 외종합
37112.28-30(3)YAC 공동 공연LIG아트홀〈0.2초〉현대무용