Overview

Dataset statistics

Number of variables5
Number of observations247
Missing cells54
Missing cells (%)4.4%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory9.8 KiB
Average record size in memory40.5 B

Variable types

Unsupported1
Text3
Categorical1

Dataset

Description2002년 지역별 무용 공연 및 행사 등 공연예술 관련 정보(공연명, 장소, 일시, 부문 등 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076482/fileData.do

Alerts

Dataset has 1 (0.4%) duplicate rowsDuplicates
내용 has 54 (21.9%) missing valuesMissing
일시 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 23:10:14.306903
Analysis finished2024-04-17 23:10:15.469126
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일시
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size2.1 KiB
Distinct235
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-18T08:10:15.686941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length13.311741
Min length3

Characters and Unicode

Total characters3288
Distinct characters374
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)91.5%

Sample

1st row국립민속박물관 상설무대 - 윤순자의 춤
2nd row국립민속박물관 상설무대 - 이정희의 춤
3rd row제8회 바뇰레 국제서울안무대회
4th row탐무용단 솔로공연
5th row2002 춤작가12인전
ValueCountFrequency (%)
40
 
5.5%
2002 39
 
5.3%
정기공연 22
 
3.0%
공연 21
 
2.9%
전통춤 20
 
2.7%
13
 
1.8%
국립발레단 11
 
1.5%
있는 7
 
1.0%
발레 7
 
1.0%
조승미발레단 6
 
0.8%
Other values (443) 546
74.6%
2024-04-18T08:10:16.106934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
486
 
14.8%
2 102
 
3.1%
0 93
 
2.8%
92
 
2.8%
86
 
2.6%
82
 
2.5%
81
 
2.5%
79
 
2.4%
71
 
2.2%
68
 
2.1%
Other values (364) 2048
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2261
68.8%
Space Separator 486
 
14.8%
Decimal Number 243
 
7.4%
Uppercase Letter 106
 
3.2%
Lowercase Letter 105
 
3.2%
Math Symbol 48
 
1.5%
Other Punctuation 18
 
0.5%
Dash Punctuation 12
 
0.4%
Close Punctuation 3
 
0.1%
Letter Number 2
 
0.1%
Other values (3) 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
92
 
4.1%
86
 
3.8%
82
 
3.6%
81
 
3.6%
79
 
3.5%
71
 
3.1%
68
 
3.0%
53
 
2.3%
51
 
2.3%
46
 
2.0%
Other values (293) 1552
68.6%
Uppercase Letter
ValueCountFrequency (%)
A 12
 
11.3%
N 11
 
10.4%
P 10
 
9.4%
D 9
 
8.5%
K 7
 
6.6%
O 7
 
6.6%
C 6
 
5.7%
I 5
 
4.7%
S 5
 
4.7%
F 4
 
3.8%
Other values (13) 30
28.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
15.2%
a 12
11.4%
c 11
10.5%
o 10
9.5%
r 10
9.5%
n 9
8.6%
l 6
 
5.7%
m 5
 
4.8%
d 5
 
4.8%
s 4
 
3.8%
Other values (9) 17
16.2%
Decimal Number
ValueCountFrequency (%)
2 102
42.0%
0 93
38.3%
1 16
 
6.6%
5 7
 
2.9%
4 6
 
2.5%
8 5
 
2.1%
9 5
 
2.1%
3 4
 
1.6%
7 4
 
1.6%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 6
33.3%
5
27.8%
, 4
22.2%
& 1
 
5.6%
1
 
5.6%
! 1
 
5.6%
Math Symbol
ValueCountFrequency (%)
23
47.9%
23
47.9%
> 1
 
2.1%
+ 1
 
2.1%
Close Punctuation
ValueCountFrequency (%)
2
66.7%
) 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2255
68.6%
Common 814
 
24.8%
Latin 213
 
6.5%
Han 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
92
 
4.1%
86
 
3.8%
82
 
3.6%
81
 
3.6%
79
 
3.5%
71
 
3.1%
68
 
3.0%
53
 
2.4%
51
 
2.3%
46
 
2.0%
Other values (288) 1546
68.6%
Latin
ValueCountFrequency (%)
e 16
 
7.5%
a 12
 
5.6%
A 12
 
5.6%
N 11
 
5.2%
c 11
 
5.2%
o 10
 
4.7%
r 10
 
4.7%
P 10
 
4.7%
n 9
 
4.2%
D 9
 
4.2%
Other values (33) 103
48.4%
Common
ValueCountFrequency (%)
486
59.7%
2 102
 
12.5%
0 93
 
11.4%
23
 
2.8%
23
 
2.8%
1 16
 
2.0%
- 12
 
1.5%
5 7
 
0.9%
. 6
 
0.7%
4 6
 
0.7%
Other values (18) 40
 
4.9%
Han
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2255
68.6%
ASCII 968
29.4%
None 49
 
1.5%
Punctuation 8
 
0.2%
CJK 6
 
0.2%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
486
50.2%
2 102
 
10.5%
0 93
 
9.6%
1 16
 
1.7%
e 16
 
1.7%
a 12
 
1.2%
A 12
 
1.2%
- 12
 
1.2%
N 11
 
1.1%
c 11
 
1.1%
Other values (52) 197
20.4%
Hangul
ValueCountFrequency (%)
92
 
4.1%
86
 
3.8%
82
 
3.6%
81
 
3.6%
79
 
3.5%
71
 
3.1%
68
 
3.0%
53
 
2.4%
51
 
2.3%
46
 
2.0%
Other values (288) 1546
68.6%
None
ValueCountFrequency (%)
23
46.9%
23
46.9%
2
 
4.1%
1
 
2.0%
Punctuation
ValueCountFrequency (%)
5
62.5%
1
 
12.5%
1
 
12.5%
1
 
12.5%
CJK
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Number Forms
ValueCountFrequency (%)
2
100.0%

장소
Text

Distinct65
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-18T08:10:16.374620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length9.6032389
Min length5

Characters and Unicode

Total characters2372
Distinct characters139
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)15.8%

Sample

1st row국립민속박물관
2nd row국립민속박물관
3rd row문예진흥원예술극장 대극장
4th row예술의전당 자유소극장
5th row문예진흥원예술극장 대극장
ValueCountFrequency (%)
국립국악원 48
 
10.5%
국립극장 38
 
8.3%
우면당 31
 
6.8%
문예진흥원예술극장 29
 
6.3%
예술의전당 28
 
6.1%
대극장 26
 
5.7%
예악당 15
 
3.3%
씨어터제로 15
 
3.3%
달오름극장 15
 
3.3%
소극장 13
 
2.8%
Other values (75) 199
43.5%
2024-04-18T08:10:16.792252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
 
8.9%
179
 
7.5%
174
 
7.3%
146
 
6.2%
121
 
5.1%
94
 
4.0%
84
 
3.5%
84
 
3.5%
75
 
3.2%
65
 
2.7%
Other values (129) 1139
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2134
90.0%
Space Separator 211
 
8.9%
Other Punctuation 11
 
0.5%
Uppercase Letter 10
 
0.4%
Decimal Number 5
 
0.2%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
179
 
8.4%
174
 
8.2%
146
 
6.8%
121
 
5.7%
94
 
4.4%
84
 
3.9%
84
 
3.9%
75
 
3.5%
65
 
3.0%
53
 
2.5%
Other values (118) 1059
49.6%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
/ 1
 
9.1%
1
 
9.1%
. 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
0 2
40.0%
6 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
G 5
50.0%
L 5
50.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2134
90.0%
Common 228
 
9.6%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
179
 
8.4%
174
 
8.2%
146
 
6.8%
121
 
5.7%
94
 
4.4%
84
 
3.9%
84
 
3.9%
75
 
3.5%
65
 
3.0%
53
 
2.5%
Other values (118) 1059
49.6%
Common
ValueCountFrequency (%)
211
92.5%
, 8
 
3.5%
8 2
 
0.9%
0 2
 
0.9%
6 1
 
0.4%
/ 1
 
0.4%
1
 
0.4%
. 1
 
0.4%
1
 
0.4%
Latin
ValueCountFrequency (%)
G 5
50.0%
L 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2134
90.0%
ASCII 236
 
9.9%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
89.4%
, 8
 
3.4%
G 5
 
2.1%
L 5
 
2.1%
8 2
 
0.8%
0 2
 
0.8%
6 1
 
0.4%
/ 1
 
0.4%
. 1
 
0.4%
Hangul
ValueCountFrequency (%)
179
 
8.4%
174
 
8.2%
146
 
6.8%
121
 
5.7%
94
 
4.4%
84
 
3.9%
84
 
3.9%
75
 
3.5%
65
 
3.0%
53
 
2.5%
Other values (118) 1059
49.6%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

내용
Text

MISSING 

Distinct189
Distinct (%)97.9%
Missing54
Missing (%)21.9%
Memory size2.1 KiB
2024-04-18T08:10:17.033263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length219
Median length74
Mean length18.984456
Min length3

Characters and Unicode

Total characters3664
Distinct characters474
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)95.9%

Sample

1st row인천시립무용단, 윤순자
2nd row<도살풀이춤> 외
3rd row한국현대무용진흥회
4th row김수정 <인공낙원 - 그침묵에…> 등
5th row중견무용가 12명의 신작무대
ValueCountFrequency (%)
75
 
8.6%
73
 
8.3%
안무 16
 
1.8%
주최 13
 
1.5%
<태평무> 5
 
0.6%
4
 
0.5%
일본 4
 
0.5%
연출 3
 
0.3%
즉흥공연 3
 
0.3%
세계민족무용연구소 3
 
0.3%
Other values (625) 678
77.3%
2024-04-18T08:10:17.427125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
671
 
18.3%
148
 
4.0%
147
 
4.0%
, 86
 
2.3%
77
 
2.1%
76
 
2.1%
- 72
 
2.0%
. 53
 
1.4%
43
 
1.2%
39
 
1.1%
Other values (464) 2252
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2121
57.9%
Space Separator 671
 
18.3%
Math Symbol 312
 
8.5%
Decimal Number 172
 
4.7%
Other Punctuation 151
 
4.1%
Lowercase Letter 114
 
3.1%
Dash Punctuation 72
 
2.0%
Uppercase Letter 31
 
0.8%
Control 13
 
0.4%
Close Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
77
 
3.6%
76
 
3.6%
43
 
2.0%
39
 
1.8%
37
 
1.7%
35
 
1.7%
32
 
1.5%
30
 
1.4%
29
 
1.4%
28
 
1.3%
Other values (393) 1695
79.9%
Lowercase Letter
ValueCountFrequency (%)
e 20
17.5%
a 10
 
8.8%
n 10
 
8.8%
t 9
 
7.9%
o 9
 
7.9%
r 8
 
7.0%
i 6
 
5.3%
m 6
 
5.3%
s 6
 
5.3%
h 5
 
4.4%
Other values (12) 25
21.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
 
9.7%
V 3
 
9.7%
G 3
 
9.7%
S 2
 
6.5%
B 2
 
6.5%
R 2
 
6.5%
U 2
 
6.5%
D 2
 
6.5%
I 2
 
6.5%
P 1
 
3.2%
Other values (9) 9
29.0%
Decimal Number
ValueCountFrequency (%)
1 34
19.8%
2 31
18.0%
3 21
12.2%
8 18
10.5%
9 13
 
7.6%
5 13
 
7.6%
7 11
 
6.4%
0 11
 
6.4%
6 10
 
5.8%
4 10
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 86
57.0%
. 53
35.1%
3
 
2.0%
# 2
 
1.3%
? 2
 
1.3%
! 2
 
1.3%
& 2
 
1.3%
/ 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
148
47.4%
147
47.1%
> 8
 
2.6%
< 8
 
2.6%
+ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
3
50.0%
) 2
33.3%
1
 
16.7%
Space Separator
ValueCountFrequency (%)
671
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Control
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2117
57.8%
Common 1398
38.2%
Latin 145
 
4.0%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
77
 
3.6%
76
 
3.6%
43
 
2.0%
39
 
1.8%
37
 
1.7%
35
 
1.7%
32
 
1.5%
30
 
1.4%
29
 
1.4%
28
 
1.3%
Other values (389) 1691
79.9%
Latin
ValueCountFrequency (%)
e 20
 
13.8%
a 10
 
6.9%
n 10
 
6.9%
t 9
 
6.2%
o 9
 
6.2%
r 8
 
5.5%
i 6
 
4.1%
m 6
 
4.1%
s 6
 
4.1%
h 5
 
3.4%
Other values (31) 56
38.6%
Common
ValueCountFrequency (%)
671
48.0%
148
 
10.6%
147
 
10.5%
, 86
 
6.2%
- 72
 
5.2%
. 53
 
3.8%
1 34
 
2.4%
2 31
 
2.2%
3 21
 
1.5%
8 18
 
1.3%
Other values (20) 117
 
8.4%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2117
57.8%
ASCII 1240
33.8%
None 300
 
8.2%
CJK 4
 
0.1%
Punctuation 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
671
54.1%
, 86
 
6.9%
- 72
 
5.8%
. 53
 
4.3%
1 34
 
2.7%
2 31
 
2.5%
3 21
 
1.7%
e 20
 
1.6%
8 18
 
1.5%
13
 
1.0%
Other values (55) 221
 
17.8%
None
ValueCountFrequency (%)
148
49.3%
147
49.0%
3
 
1.0%
1
 
0.3%
1
 
0.3%
Hangul
ValueCountFrequency (%)
77
 
3.6%
76
 
3.6%
43
 
2.0%
39
 
1.8%
37
 
1.7%
35
 
1.7%
32
 
1.5%
30
 
1.4%
29
 
1.4%
28
 
1.3%
Other values (389) 1691
79.9%
Punctuation
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

부문
Categorical

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
한국무용
74 
현대무용
56 
발레
43 
전통무용
37 
종합
30 
Other values (3)
 
7

Length

Max length6
Median length4
Mean length3.417004
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
한국무용 74
30.0%
현대무용 56
22.7%
발레 43
17.4%
전통무용 37
15.0%
종합 30
12.1%
외국무용 4
 
1.6%
재즈댄스 2
 
0.8%
한국무용 . 1
 
0.4%

Length

2024-04-18T08:10:17.566424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:10:17.708538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국무용 75
30.2%
현대무용 56
22.6%
발레 43
17.3%
전통무용 37
14.9%
종합 30
 
12.1%
외국무용 4
 
1.6%
재즈댄스 2
 
0.8%
1
 
0.4%

Correlations

2024-04-18T08:10:17.833436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소부문
장소1.0000.725
부문0.7251.000

Missing values

2024-04-18T08:10:15.431798image/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.

Sample

일시공연명장소내용부문
01.1국립민속박물관 상설무대 - 윤순자의 춤국립민속박물관인천시립무용단, 윤순자전통무용
12.9국립민속박물관 상설무대 - 이정희의 춤국립민속박물관<도살풀이춤> 외전통무용
22.18 - 20제8회 바뇰레 국제서울안무대회문예진흥원예술극장 대극장한국현대무용진흥회종합
32.22 - 23탐무용단 솔로공연예술의전당 자유소극장김수정 <인공낙원 - 그침묵에…> 등현대무용
42.22 - 242002 춤작가12인전문예진흥원예술극장 대극장중견무용가 12명의 신작무대종합
52.23 - 24한국의 명인명무전한전아츠풀주최 - 동국예술기획한국무용
62.26 - 27김기인과 스스로 춤 모임문예진흥원예술극장 대극장<결결이여>한국무용
73.5양정화의 전통춤국립국악원 우면당<NA>전통무용
83.8 - 9<움직임, 이미지 그리고 메시지>문예진흥원예술극장 대극장안성수, 제임스 전, 홍승엽종합
93.13 - 14현대무용단 탐 제22회 정기공연문예진흥원예술극장 대극장김예림 <청춘> 등현대무용
일시공연명장소내용부문
23712.19 - 22슈퍼스타 예수그리스도문예진흥원예술극장 대극장<NA>현대무용
23812.20 - 21정혁준의 춤국립극장 별오름극장<청서듦>한국무용
23912.21 - 22밀물신작무대 - 일곱가지 빛깔 여행(solist relay)씨어터제로사) 밀물현대무용단현대무용
24012.21 - 22안애순 <하얀나비의 비명…아이고>한전아츠풀<NA>현대무용
24112.21 - 29국립발레단 <호두까기인형>예술의전당 오페라극장<NA>발레
24212.23 - 26최청자툇마루무용단 <겨울이야기 >문예진흥원예술극장 대극장<NA>현대무용
24312.24예라영이 준비한 크리스마스 파티씨어터제로<NA>현대무용
24412.25강원도립무용단 서울공연리틀엔젤스예술회관안무 - 지희영한국무용
24512.27 - 28우혜영의 춤씨어터제로<Game>발레
24612.28 - 29제12회 신인안무가전문예진흥원예술극장 소극장주최 - 사)한국무용연구회 서경희 등한국무용

Duplicate rows

Most frequently occurring

공연명장소내용부문# duplicates
0국립발레단 해설이 있는 발레호암아트홀<NA>발레3