Overview

Dataset statistics

Number of variables5
Number of observations279
Missing cells65
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory40.5 B

Variable types

Text4
Categorical1

Dataset

Description2003년 지역별 무용 공연 및 행사 등 공연예술 관련 정보(공연명, 일시, 장소, 부문 등 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076495/fileData.do

Alerts

내용 has 64 (22.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:19:34.825250
Analysis finished2023-12-12 23:19:35.615808
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일시
Text

Distinct259
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T08:19:35.829867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.437276
Min length5

Characters and Unicode

Total characters2354
Distinct characters21
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)86.0%

Sample

1st row1.11(1)
2nd row1.11-12(2)
3rd row2.1(1)
4th row2.6-9(3)
5th row2.11 ⑴
ValueCountFrequency (%)
⑴ 10
 
3.3%
⑵ 4
 
1.3%
6.3-4(2 3
 
1.0%
⑷ 3
 
1.0%
⑶ 3
 
1.0%
2.15(1 2
 
0.7%
9.19(1 2
 
0.7%
3.15(1 2
 
0.7%
5.24(1 2
 
0.7%
9.30(1 2
 
0.7%
Other values (254) 267
89.0%
2023-12-13T08:19:36.216782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 408
17.3%
2 295
12.5%
. 288
12.2%
) 250
10.6%
( 249
10.6%
- 143
 
6.1%
3 124
 
5.3%
6 92
 
3.9%
0 83
 
3.5%
9 82
 
3.5%
Other values (11) 340
14.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1368
58.1%
Other Punctuation 294
 
12.5%
Close Punctuation 250
 
10.6%
Open Punctuation 249
 
10.6%
Dash Punctuation 143
 
6.1%
Other Number 28
 
1.2%
Space Separator 21
 
0.9%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 408
29.8%
2 295
21.6%
3 124
 
9.1%
6 92
 
6.7%
0 83
 
6.1%
9 82
 
6.0%
5 80
 
5.8%
4 77
 
5.6%
7 70
 
5.1%
8 57
 
4.2%
Other Number
ValueCountFrequency (%)
⑴ 10
35.7%
⑵ 8
28.6%
⑶ 6
21.4%
⑷ 4
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 288
98.0%
, 6
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 250
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2353
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 408
17.3%
2 295
12.5%
. 288
12.2%
) 250
10.6%
( 249
10.6%
- 143
 
6.1%
3 124
 
5.3%
6 92
 
3.9%
0 83
 
3.5%
9 82
 
3.5%
Other values (10) 339
14.4%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2326
98.8%
Enclosed Alphanum 28
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 408
17.5%
2 295
12.7%
. 288
12.4%
) 250
10.7%
( 249
10.7%
- 143
 
6.1%
3 124
 
5.3%
6 92
 
4.0%
0 83
 
3.6%
9 82
 
3.5%
Other values (7) 312
13.4%
Enclosed Alphanum
ValueCountFrequency (%)
⑴ 10
35.7%
⑵ 8
28.6%
⑶ 6
21.4%
⑷ 4
 
14.3%

공연명
Text

Distinct250
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T08:19:36.482656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length26
Mean length14.458781
Min length6

Characters and Unicode

Total characters4034
Distinct characters392
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)84.2%

Sample

1st row국립발레단 2003년을 위한 갈라공연
2nd row한국선교예술원 공연
3rd row국립국악원무용단 설날 공연
4th row입춘대길-봄을 부르는 소리
5th row김현숙무용단 공연 ‘공간창조I’
ValueCountFrequency (%)
공연 72
 
8.4%
춤 34
 
4.0%
2003 26
 
3.0%
정기공연 26
 
3.0%
토요즉흥춤판 11
 
1.3%
국립발레단 10
 
1.2%
발레 8
 
0.9%
현대무용단 7
 
0.8%
2008 7
 
0.8%
젊은 7
 
0.8%
Other values (493) 647
75.7%
2023-12-13T08:19:36.975154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
 
14.3%
연 159
 
3.9%
공 155
 
3.8%
무 124
 
3.1%
단 106
 
2.6%
0 104
 
2.6%
용 100
 
2.5%
춤 90
 
2.2%
발 66
 
1.6%
레 63
 
1.6%
Other values (382) 2491
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2909
72.1%
Space Separator 576
 
14.3%
Decimal Number 266
 
6.6%
Lowercase Letter 86
 
2.1%
Uppercase Letter 86
 
2.1%
Other Punctuation 27
 
0.7%
Initial Punctuation 25
 
0.6%
Final Punctuation 24
 
0.6%
Dash Punctuation 21
 
0.5%
Open Punctuation 6
 
0.1%
Other values (2) 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 159
 
5.5%
공 155
 
5.3%
무 124
 
4.3%
단 106
 
3.6%
용 100
 
3.4%
춤 90
 
3.1%
발 66
 
2.3%
레 63
 
2.2%
국 58
 
2.0%
기 56
 
1.9%
Other values (321) 1932
66.4%
Uppercase Letter
ValueCountFrequency (%)
N 12
14.0%
D 11
12.8%
A 9
10.5%
M 7
 
8.1%
C 6
 
7.0%
E 5
 
5.8%
O 4
 
4.7%
W 4
 
4.7%
I 4
 
4.7%
U 4
 
4.7%
Other values (10) 20
23.3%
Lowercase Letter
ValueCountFrequency (%)
e 14
16.3%
a 12
14.0%
n 10
11.6%
o 10
11.6%
c 8
9.3%
d 7
8.1%
f 5
 
5.8%
l 4
 
4.7%
i 4
 
4.7%
h 3
 
3.5%
Other values (6) 9
10.5%
Decimal Number
ValueCountFrequency (%)
0 104
39.1%
2 60
22.6%
3 51
19.2%
1 20
 
7.5%
8 13
 
4.9%
6 7
 
2.6%
5 5
 
1.9%
4 4
 
1.5%
7 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 8
29.6%
. 7
25.9%
• 5
18.5%
& 3
 
11.1%
" 1
 
3.7%
/ 1
 
3.7%
? 1
 
3.7%
' 1
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 19
90.5%
— 2
 
9.5%
Space Separator
ValueCountFrequency (%)
576
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 25
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 24
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
） 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2897
71.8%
Common 951
 
23.6%
Latin 174
 
4.3%
Han 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 159
 
5.5%
공 155
 
5.4%
무 124
 
4.3%
단 106
 
3.7%
용 100
 
3.5%
춤 90
 
3.1%
발 66
 
2.3%
레 63
 
2.2%
국 58
 
2.0%
기 56
 
1.9%
Other values (311) 1920
66.3%
Latin
ValueCountFrequency (%)
e 14
 
8.0%
N 12
 
6.9%
a 12
 
6.9%
D 11
 
6.3%
n 10
 
5.7%
o 10
 
5.7%
A 9
 
5.2%
c 8
 
4.6%
M 7
 
4.0%
d 7
 
4.0%
Other values (27) 74
42.5%
Common
ValueCountFrequency (%)
576
60.6%
0 104
 
10.9%
2 60
 
6.3%
3 51
 
5.4%
‘ 25
 
2.6%
’ 24
 
2.5%
1 20
 
2.1%
- 19
 
2.0%
8 13
 
1.4%
, 8
 
0.8%
Other values (14) 51
 
5.4%
Han
ValueCountFrequency (%)
新 2
16.7%
故 2
16.7%
年 1
8.3%
東 1
8.3%
動 1
8.3%
展 1
8.3%
舞 1
8.3%
名 1
8.3%
間 1
8.3%
墨 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2897
71.8%
ASCII 1055
 
26.2%
Punctuation 56
 
1.4%
None 12
 
0.3%
CJK 12
 
0.3%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
54.6%
0 104
 
9.9%
2 60
 
5.7%
3 51
 
4.8%
1 20
 
1.9%
- 19
 
1.8%
e 14
 
1.3%
8 13
 
1.2%
N 12
 
1.1%
a 12
 
1.1%
Other values (44) 174
 
16.5%
Hangul
ValueCountFrequency (%)
연 159
 
5.5%
공 155
 
5.4%
무 124
 
4.3%
단 106
 
3.7%
용 100
 
3.5%
춤 90
 
3.1%
발 66
 
2.3%
레 63
 
2.2%
국 58
 
2.0%
기 56
 
1.9%
Other values (311) 1920
66.3%
Punctuation
ValueCountFrequency (%)
‘ 25
44.6%
’ 24
42.9%
• 5
 
8.9%
— 2
 
3.6%
None
ValueCountFrequency (%)
（ 6
50.0%
） 6
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
新 2
16.7%
故 2
16.7%
年 1
8.3%
東 1
8.3%
動 1
8.3%
展 1
8.3%
舞 1
8.3%
名 1
8.3%
間 1
8.3%
墨 1
8.3%

장소
Text

Distinct70
Distinct (%)25.2%
Missing1
Missing (%)0.4%
Memory size2.3 KiB
2023-12-13T08:19:37.207134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length18
Mean length10.129496
Min length4

Characters and Unicode

Total characters2816
Distinct characters148
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

Unique39 ?
Unique (%)14.0%

Sample

1st row국립중앙극장 해오름극장
2nd row문예진흥원 예술극장 대극장
3rd row국립국악원 예악당
4th row문예진흥원 예술극장 소극장
5th row문예진흥원 예술극장 소극장
ValueCountFrequency (%)
문예진흥원 51
 
9.3%
예술극장 50
 
9.1%
대극장 46
 
8.3%
국립중앙극장 36
 
6.5%
국립국악원 34
 
6.2%
예술의전당 26
 
4.7%
소극장 24
 
4.4%
씨어터제로 21
 
3.8%
달오름극장 19
 
3.4%
우면당 18
 
3.3%
Other values (79) 226
41.0%
2023-12-13T08:19:37.527491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
 
9.6%
장 231
 
8.2%
극 225
 
8.0%
예 163
 
5.8%
국 111
 
3.9%
술 97
 
3.4%
원 94
 
3.3%
문 72
 
2.6%
립 72
 
2.6%
대 72
 
2.6%
Other values (138) 1408
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2506
89.0%
Space Separator 271
 
9.6%
Uppercase Letter 19
 
0.7%
Decimal Number 16
 
0.6%
Control 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 231
 
9.2%
극 225
 
9.0%
예 163
 
6.5%
국 111
 
4.4%
술 97
 
3.9%
원 94
 
3.8%
문 72
 
2.9%
립 72
 
2.9%
대 72
 
2.9%
당 64
 
2.6%
Other values (127) 1305
52.1%
Uppercase Letter
ValueCountFrequency (%)
G 8
42.1%
L 8
42.1%
K 1
 
5.3%
B 1
 
5.3%
S 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 10
62.5%
6 6
37.5%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
271
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2506
89.0%
Common 291
 
10.3%
Latin 19
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 231
 
9.2%
극 225
 
9.0%
예 163
 
6.5%
국 111
 
4.4%
술 97
 
3.9%
원 94
 
3.8%
문 72
 
2.9%
립 72
 
2.9%
대 72
 
2.9%
당 64
 
2.6%
Other values (127) 1305
52.1%
Common
ValueCountFrequency (%)
271
93.1%
0 10
 
3.4%
6 6
 
2.1%
2
 
0.7%
. 1
 
0.3%
' 1
 
0.3%
Latin
ValueCountFrequency (%)
G 8
42.1%
L 8
42.1%
K 1
 
5.3%
B 1
 
5.3%
S 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2506
89.0%
ASCII 310
 
11.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
87.4%
0 10
 
3.2%
G 8
 
2.6%
L 8
 
2.6%
6 6
 
1.9%
2
 
0.6%
. 1
 
0.3%
' 1
 
0.3%
K 1
 
0.3%
B 1
 
0.3%
Hangul
ValueCountFrequency (%)
장 231
 
9.2%
극 225
 
9.0%
예 163
 
6.5%
국 111
 
4.4%
술 97
 
3.9%
원 94
 
3.8%
문 72
 
2.9%
립 72
 
2.9%
대 72
 
2.9%
당 64
 
2.6%
Other values (127) 1305
52.1%

내용
Text

MISSING 

Distinct206
Distinct (%)95.8%
Missing64
Missing (%)22.9%
Memory size2.3 KiB
2023-12-13T08:19:37.737887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length268
Median length133
Mean length31.311628
Min length4

Characters and Unicode

Total characters6732
Distinct characters570
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)93.0%

Sample

1st row＜돈키호테＞ 외
2nd row＜흙과 그리고 사랑＞（안무 주리）, ＜UNDER LKMTX안무 이상란） 외
3rd row＜박접무＞ 외
4th row출연 조성희, 김종덕, 방희선 외
5th row＜달끝의 기억-곡자( 哭子）＞（안무 남수정） 외
ValueCountFrequency (%)
외 61
 
5.1%
출연 40
 
3.3%
안무 24
 
2.0%
한창호 6
 
0.5%
김은정 5
 
0.4%
주최 5
 
0.4%
김영희） 4
 
0.3%
및 4
 
0.3%
＜태평무＞ 4
 
0.3%
최진한） 3
 
0.2%
Other values (950) 1046
87.0%
2023-12-13T08:19:38.098485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
972
 
14.4%
＜ 344
 
5.1%
＞ 341
 
5.1%
무 284
 
4.2%
） 275
 
4.1%
（ 271
 
4.0%
, 266
 
4.0%
안 239
 
3.6%
이 96
 
1.4%
연 91
 
1.4%
Other values (560) 3553
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3743
55.6%
Space Separator 972
 
14.4%
Math Symbol 690
 
10.2%
Other Punctuation 328
 
4.9%
Close Punctuation 279
 
4.1%
Open Punctuation 273
 
4.1%
Lowercase Letter 188
 
2.8%
Decimal Number 139
 
2.1%
Uppercase Letter 64
 
1.0%
Dash Punctuation 36
 
0.5%
Other values (4) 20
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 284
 
7.6%
안 239
 
6.4%
이 96
 
2.6%
연 91
 
2.4%
김 85
 
2.3%
정 77
 
2.1%
출 74
 
2.0%
외 63
 
1.7%
미 50
 
1.3%
은 45
 
1.2%
Other values (480) 2639
70.5%
Lowercase Letter
ValueCountFrequency (%)
e 27
14.4%
a 19
10.1%
s 17
 
9.0%
i 14
 
7.4%
o 13
 
6.9%
n 13
 
6.9%
l 12
 
6.4%
h 11
 
5.9%
t 9
 
4.8%
g 7
 
3.7%
Other values (14) 46
24.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
10.9%
T 6
 
9.4%
X 6
 
9.4%
D 6
 
9.4%
A 5
 
7.8%
E 4
 
6.2%
M 4
 
6.2%
F 4
 
6.2%
O 3
 
4.7%
N 3
 
4.7%
Other values (11) 16
25.0%
Decimal Number
ValueCountFrequency (%)
1 29
20.9%
2 19
13.7%
3 19
13.7%
0 14
10.1%
8 13
9.4%
7 12
8.6%
6 12
8.6%
9 9
 
6.5%
4 7
 
5.0%
5 5
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 266
81.1%
. 35
 
10.7%
… 9
 
2.7%
• 7
 
2.1%
? 6
 
1.8%
! 2
 
0.6%
& 2
 
0.6%
； 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
＜ 344
49.9%
＞ 341
49.4%
< 2
 
0.3%
± 1
 
0.1%
> 1
 
0.1%
~ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
） 275
98.6%
) 4
 
1.4%
Open Punctuation
ValueCountFrequency (%)
（ 271
99.3%
( 2
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 35
97.2%
〜 1
 
2.8%
Space Separator
ValueCountFrequency (%)
972
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3723
55.3%
Common 2736
40.6%
Latin 253
 
3.8%
Han 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 284
 
7.6%
안 239
 
6.4%
이 96
 
2.6%
연 91
 
2.4%
김 85
 
2.3%
정 77
 
2.1%
출 74
 
2.0%
외 63
 
1.7%
미 50
 
1.3%
은 45
 
1.2%
Other values (462) 2619
70.3%
Latin
ValueCountFrequency (%)
e 27
 
10.7%
a 19
 
7.5%
s 17
 
6.7%
i 14
 
5.5%
o 13
 
5.1%
n 13
 
5.1%
l 12
 
4.7%
h 11
 
4.3%
t 9
 
3.6%
g 7
 
2.8%
Other values (36) 111
43.9%
Common
ValueCountFrequency (%)
972
35.5%
＜ 344
 
12.6%
＞ 341
 
12.5%
） 275
 
10.1%
（ 271
 
9.9%
, 266
 
9.7%
- 35
 
1.3%
. 35
 
1.3%
1 29
 
1.1%
2 19
 
0.7%
Other values (24) 149
 
5.4%
Han
ValueCountFrequency (%)
舞 2
 
10.0%
空 2
 
10.0%
夢 1
 
5.0%
汝 1
 
5.0%
朴 1
 
5.0%
中 1
 
5.0%
華 1
 
5.0%
悲 1
 
5.0%
我 1
 
5.0%
紅 1
 
5.0%
Other values (8) 8
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3723
55.3%
ASCII 1734
25.8%
None 1234
 
18.3%
Punctuation 20
 
0.3%
CJK 20
 
0.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
972
56.1%
, 266
 
15.3%
- 35
 
2.0%
. 35
 
2.0%
1 29
 
1.7%
e 27
 
1.6%
2 19
 
1.1%
3 19
 
1.1%
a 19
 
1.1%
s 17
 
1.0%
Other values (58) 296
 
17.1%
None
ValueCountFrequency (%)
＜ 344
27.9%
＞ 341
27.6%
） 275
22.3%
（ 271
22.0%
； 1
 
0.1%
〜 1
 
0.1%
± 1
 
0.1%
Hangul
ValueCountFrequency (%)
무 284
 
7.6%
안 239
 
6.4%
이 96
 
2.6%
연 91
 
2.4%
김 85
 
2.3%
정 77
 
2.1%
출 74
 
2.0%
외 63
 
1.7%
미 50
 
1.3%
은 45
 
1.2%
Other values (462) 2619
70.3%
Punctuation
ValueCountFrequency (%)
… 9
45.0%
• 7
35.0%
‘ 2
 
10.0%
’ 2
 
10.0%
CJK
ValueCountFrequency (%)
舞 2
 
10.0%
空 2
 
10.0%
夢 1
 
5.0%
汝 1
 
5.0%
朴 1
 
5.0%
中 1
 
5.0%
華 1
 
5.0%
悲 1
 
5.0%
我 1
 
5.0%
紅 1
 
5.0%
Other values (8) 8
40.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

부문
Categorical

Distinct7
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
현대무용
77 
창작무용
64 
종합
49 
발레
45 
전통무용
36 
Other values (2)
8 

Length

Max length4
Median length4
Mean length3.2688172
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현대무용 77
27.6%
창작무용 64
22.9%
종합 49
17.6%
발레 45
16.1%
전통무용 36
12.9%
기타 5
 
1.8%
전통 3
 
1.1%

Length

2023-12-13T08:19:38.218050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:19:38.324313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현대무용 77
27.6%
창작무용 64
22.9%
종합 49
17.6%
발레 45
16.1%
전통무용 36
12.9%
기타 5
 
1.8%
전통 3
 
1.1%

Correlations

2023-12-13T08:19:38.393808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소부문
장소1.0000.639
부문0.6391.000

Missing values

2023-12-13T08:19:35.401505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:19:35.488870image/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.
2023-12-13T08:19:35.571731image/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

일시공연명장소내용부문
01.11(1)국립발레단 2003년을 위한 갈라공연국립중앙극장 해오름극장＜돈키호테＞ 외발레
11.11-12(2)한국선교예술원 공연문예진흥원 예술극장 대극장＜흙과 그리고 사랑＞（안무 주리）, ＜UNDER LKMTX안무 이상란） 외종합
22.1(1)국립국악원무용단 설날 공연국립국악원 예악당＜박접무＞ 외전통무용
32.6-9(3)입춘대길-봄을 부르는 소리문예진흥원 예술극장 소극장출연 조성희, 김종덕, 방희선 외종합
42.11 ⑴김현숙무용단 공연 ‘공간창조I’문예진흥원 예술극장 소극장＜달끝의 기억-곡자( 哭子）＞（안무 남수정） 외창작무용
52.14(1)김민정 발레공연국립중앙극장 달오름극장＜반딧불＞ 외발레
62.15(1)김기화 전통춤공연국립민속박물관<NA>전통무용
72.15(1)국립국악원무용단 공연국립국악원 예악당 및 광장＜돌고 도는 달＞（예술감독 김영희）창작무용
82.18-19(2)현대무용단 탐 솔로공연문예진흥원 예술극장 대극장＜경고（Waming）＞（안무 유희주）, ＜겨울나비＞（안무 정지영）, ＜egg＞（안무 이옥경）, ＜팝콘＞（안무 김수정）, ＜매스메스（mass mess）＞（안무 조양희）현대무용
92.26-27(2)손인영NOW무용단 정기공연문예진흥원 예술극장 대극장＜아바타 처용＞（안무 손인영）창작무용
일시공연명장소내용부문
26912.11 ⑴뫼오로시발레단 공연국립중앙극장 달오름극장<NA>발레
27012.12-13(2)김상진ThanksLife무용단 창단공연씨어터제로＜이방인＞（안무 김상진）창작무용
27112.18-30(23)유니버설발레단 공연리틀엔젤스예술회관＜호두까기인형＞발레
27212.20-27(11)국립발레단 공연예술의전당 오페라극장＜호두까기인형＞발레
27312.23(1)아쉬 리 현대무용단 창단공연씨어터제로<NA>현대무용
27412.24-26(5)최청자 툇마루무용단 공연문예진흥원 예술극장 대극장＜겨울이야기＞（안무 최청자）현대무용
27512.27(1)댄스시어터온 공연호암아트홀＜말들의 눈에는 피가＞（안무 홍승엽）현대무용
27612.27-28⑵밀레니엄 춤기획 Color of Dance-RED문예진흥원 예술극장 대극장안무 국수호 백영태, 채상묵, 정귀인, 안성수, 유병헌종합
27712.30-31(2)박명숙 서울현대무용단 공연문예진흥원 예술극장 대극장＜이브＞（안무 박명숙）현대무용
27812.30-31 ⑵안애순 현대무용단 공연문예진흥원 예술극장 소극장안무 안애순현대무용