Overview

Dataset statistics

Number of variables9
Number of observations735
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.8 KiB
Average record size in memory72.2 B

Variable types

Categorical5
Text2
DateTime2

Dataset

Description국립아시아문화전당에서 개최 됐던 공연, 전시, 행사, 교육 등에 대해 공연명, 공연기간, 이용대상, 요금정보 등 자료를 제공합니다.
Author문화체육관광부 국립아시아문화전당
URLhttps://www.data.go.kr/data/15071120/fileData.do

Alerts

구분 is highly overall correlated with 요금정보High correlation
요금정보 is highly overall correlated with 구분High correlation

Reproduction

Analysis started2023-12-12 06:04:09.729788
Analysis finished2023-12-12 06:04:10.893527
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
공연
442 
행사
171 
워크숍
69 
대관
 
14
영화
 
13
Other values (3)
 
26

Length

Max length7
Median length2
Mean length2.1823129
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row행사
2nd row행사
3rd row공연
4th row행사
5th row전시

Common Values

ValueCountFrequency (%)
공연 442
60.1%
행사 171
 
23.3%
워크숍 69
 
9.4%
대관 14
 
1.9%
영화 13
 
1.8%
어린이프로그램 13
 
1.8%
전시 9
 
1.2%
강좌 4
 
0.5%

Length

2023-12-12T15:04:10.978124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:04:11.122312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연 442
60.1%
행사 171
 
23.3%
워크숍 69
 
9.4%
대관 14
 
1.9%
영화 13
 
1.8%
어린이프로그램 13
 
1.8%
전시 9
 
1.2%
강좌 4
 
0.5%
Distinct726
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-12T15:04:11.422245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length22.342857
Min length2

Characters and Unicode

Total characters16422
Distinct characters707
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique717 ?
Unique (%)97.6%

Sample

1st row[2020 국제 공동 세미나]유라시안 연극의 뿌리와 새로운 전망
2nd row[2020 국제 공동 창제작 시범공연]전쟁의 슬픔&슬픔과 씨앗
3rd row2020 ACC 브런치<재즈 명반을 연주하다 - Kind of Blue>
4th row음악으로 읽어주는 실크로드 이야기
5th row2020 ACC 지역-아시아작가전 <언·택트>
ValueCountFrequency (%)
acc 122
 
3.9%
76
 
2.4%
2019 60
 
1.9%
어린이문화원 54
 
1.7%
2018 51
 
1.6%
2020 51
 
1.6%
어린이 36
 
1.2%
개관축제 34
 
1.1%
2017 32
 
1.0%
예술극장 27
 
0.9%
Other values (1634) 2574
82.6%
2023-12-12T15:04:11.994847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2385
 
14.5%
C 361
 
2.2%
2 331
 
2.0%
] 327
 
2.0%
[ 327
 
2.0%
0 320
 
1.9%
295
 
1.8%
1 265
 
1.6%
260
 
1.6%
A 253
 
1.5%
Other values (697) 11298
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9732
59.3%
Space Separator 2387
 
14.5%
Decimal Number 1267
 
7.7%
Uppercase Letter 986
 
6.0%
Lowercase Letter 540
 
3.3%
Math Symbol 457
 
2.8%
Close Punctuation 379
 
2.3%
Open Punctuation 379
 
2.3%
Other Punctuation 151
 
0.9%
Dash Punctuation 119
 
0.7%
Other values (3) 25
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
295
 
3.0%
260
 
2.7%
209
 
2.1%
166
 
1.7%
162
 
1.7%
161
 
1.7%
160
 
1.6%
158
 
1.6%
150
 
1.5%
148
 
1.5%
Other values (611) 7863
80.8%
Uppercase Letter
ValueCountFrequency (%)
C 361
36.6%
A 253
25.7%
F 49
 
5.0%
T 43
 
4.4%
D 30
 
3.0%
B 21
 
2.1%
M 21
 
2.1%
X 19
 
1.9%
N 18
 
1.8%
E 17
 
1.7%
Other values (15) 154
15.6%
Lowercase Letter
ValueCountFrequency (%)
e 79
14.6%
i 54
10.0%
t 50
9.3%
n 45
 
8.3%
a 44
 
8.1%
o 43
 
8.0%
l 36
 
6.7%
r 26
 
4.8%
s 25
 
4.6%
h 25
 
4.6%
Other values (14) 113
20.9%
Decimal Number
ValueCountFrequency (%)
2 331
26.1%
0 320
25.3%
1 265
20.9%
8 90
 
7.1%
9 84
 
6.6%
7 50
 
3.9%
3 38
 
3.0%
5 33
 
2.6%
4 30
 
2.4%
6 26
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 42
27.8%
. 25
16.6%
! 19
12.6%
' 17
11.3%
: 14
 
9.3%
& 12
 
7.9%
· 12
 
7.9%
? 4
 
2.6%
" 4
 
2.6%
/ 2
 
1.3%
Math Symbol
ValueCountFrequency (%)
> 226
49.5%
< 225
49.2%
+ 3
 
0.7%
~ 2
 
0.4%
× 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2385
99.9%
  2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 327
86.3%
) 52
 
13.7%
Open Punctuation
ValueCountFrequency (%)
[ 327
86.3%
( 52
 
13.7%
Final Punctuation
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Initial Punctuation
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9719
59.2%
Common 5164
31.4%
Latin 1526
 
9.3%
Han 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
295
 
3.0%
260
 
2.7%
209
 
2.2%
166
 
1.7%
162
 
1.7%
161
 
1.7%
160
 
1.6%
158
 
1.6%
150
 
1.5%
148
 
1.5%
Other values (600) 7850
80.8%
Latin
ValueCountFrequency (%)
C 361
23.7%
A 253
16.6%
e 79
 
5.2%
i 54
 
3.5%
t 50
 
3.3%
F 49
 
3.2%
n 45
 
2.9%
a 44
 
2.9%
T 43
 
2.8%
o 43
 
2.8%
Other values (39) 505
33.1%
Common
ValueCountFrequency (%)
2385
46.2%
2 331
 
6.4%
] 327
 
6.3%
[ 327
 
6.3%
0 320
 
6.2%
1 265
 
5.1%
> 226
 
4.4%
< 225
 
4.4%
- 119
 
2.3%
8 90
 
1.7%
Other values (27) 549
 
10.6%
Han
ValueCountFrequency (%)
2
15.4%
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9719
59.2%
ASCII 6665
40.6%
None 15
 
0.1%
CJK 13
 
0.1%
Punctuation 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2385
35.8%
C 361
 
5.4%
2 331
 
5.0%
] 327
 
4.9%
[ 327
 
4.9%
0 320
 
4.8%
1 265
 
4.0%
A 253
 
3.8%
> 226
 
3.4%
< 225
 
3.4%
Other values (69) 1645
24.7%
Hangul
ValueCountFrequency (%)
295
 
3.0%
260
 
2.7%
209
 
2.2%
166
 
1.7%
162
 
1.7%
161
 
1.7%
160
 
1.6%
158
 
1.6%
150
 
1.5%
148
 
1.5%
Other values (600) 7850
80.8%
None
ValueCountFrequency (%)
· 12
80.0%
  2
 
13.3%
× 1
 
6.7%
Punctuation
ValueCountFrequency (%)
4
40.0%
4
40.0%
1
 
10.0%
1
 
10.0%
CJK
ValueCountFrequency (%)
2
15.4%
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%

장르
Categorical

Distinct26
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
콘서트
98 
없음
97 
연극
66 
체험
49 
공연
48 
Other values (21)
377 

Length

Max length5
Median length2
Mean length2.4244898
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row기타
2nd row상영
3rd row콘서트
4th row공연
5th row전시

Common Values

ValueCountFrequency (%)
콘서트 98
13.3%
없음 97
13.2%
연극 66
 
9.0%
체험 49
 
6.7%
공연 48
 
6.5%
클래식 46
 
6.3%
기타 44
 
6.0%
영화 43
 
5.9%
전시 37
 
5.0%
가족,아동 34
 
4.6%
Other values (16) 173
23.5%

Length

2023-12-12T15:04:12.178397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
콘서트 98
13.3%
없음 97
13.2%
연극 66
 
9.0%
체험 49
 
6.7%
공연 48
 
6.5%
클래식 46
 
6.3%
기타 44
 
6.0%
영화 43
 
5.9%
전시 37
 
5.0%
가족,아동 34
 
4.6%
Other values (16) 173
23.5%

대상
Categorical

Distinct44
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
전체관람
178 
만7세이상
169 
8세이상
101 
12세이상
53 
만5세이상
28 
Other values (39)
206 

Length

Max length15
Median length9
Mean length4.7782313
Min length3

Unique

Unique11 ?
Unique (%)1.5%

Sample

1st row8세이상
2nd row8세이상
3rd row8세이상
4th row8세이상
5th row전체관람

Common Values

ValueCountFrequency (%)
전체관람 178
24.2%
만7세이상 169
23.0%
8세이상 101
13.7%
12세이상 53
 
7.2%
만5세이상 28
 
3.8%
만12세이상 24
 
3.3%
5세 이상 21
 
2.9%
만 3세이상 14
 
1.9%
7세이상 14
 
1.9%
8~13세 14
 
1.9%
Other values (34) 119
16.2%

Length

2023-12-12T15:04:12.332772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전체관람 178
22.8%
만7세이상 169
21.7%
8세이상 101
12.9%
12세이상 53
 
6.8%
만5세이상 28
 
3.6%
이상 25
 
3.2%
만12세이상 24
 
3.1%
5세 21
 
2.7%
16
 
2.1%
7세이상 14
 
1.8%
Other values (38) 151
19.4%
Distinct65
Distinct (%)8.9%
Missing3
Missing (%)0.4%
Memory size5.9 KiB
2023-12-12T15:04:12.577955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.5969945
Min length1

Characters and Unicode

Total characters1901
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)4.2%

Sample

1st row240
2nd row135
3rd row90
4th row60
5th row60
ValueCountFrequency (%)
90 134
22.4%
60 93
15.6%
100 46
 
7.7%
120 44
 
7.4%
50 40
 
6.7%
40 31
 
5.2%
45 28
 
4.7%
70 22
 
3.7%
80 22
 
3.7%
30 18
 
3.0%
Other values (54) 120
20.1%
2023-12-12T15:04:12.978753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 562
29.6%
536
28.2%
1 164
 
8.6%
9 145
 
7.6%
5 117
 
6.2%
6 109
 
5.7%
4 83
 
4.4%
2 65
 
3.4%
8 46
 
2.4%
7 37
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1365
71.8%
Space Separator 536
 
28.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 562
41.2%
1 164
 
12.0%
9 145
 
10.6%
5 117
 
8.6%
6 109
 
8.0%
4 83
 
6.1%
2 65
 
4.8%
8 46
 
3.4%
7 37
 
2.7%
3 37
 
2.7%
Space Separator
ValueCountFrequency (%)
536
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1901
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 562
29.6%
536
28.2%
1 164
 
8.6%
9 145
 
7.6%
5 117
 
6.2%
6 109
 
5.7%
4 83
 
4.4%
2 65
 
3.4%
8 46
 
2.4%
7 37
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 562
29.6%
536
28.2%
1 164
 
8.6%
9 145
 
7.6%
5 117
 
6.2%
6 109
 
5.7%
4 83
 
4.4%
2 65
 
3.4%
8 46
 
2.4%
7 37
 
1.9%
Distinct459
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2015-01-24 00:00:00
Maximum2020-11-01 00:00:00
2023-12-12T15:04:13.148530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:04:13.325102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct457
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2015-01-24 00:00:00
Maximum2021-03-14 00:00:00
2023-12-12T15:04:13.533608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:04:13.740527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공연장소
Categorical

Distinct38
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
예술극장 극장2
245 
예술극장 극장1
167 
어린이문화원 어린이극장
80 
문화정보원 극장3
37 
어린이문화원 어린이체험관
33 
Other values (33)
173 

Length

Max length17
Median length8
Mean length8.8829932
Min length2

Unique

Unique7 ?
Unique (%)1.0%

Sample

1st row예술극장 극장1
2nd row예술극장 극장1
3rd row예술극장 극장2
4th row예술극장 극장2
5th row문화창조원 복합6관

Common Values

ValueCountFrequency (%)
예술극장 극장2 245
33.3%
예술극장 극장1 167
22.7%
어린이문화원 어린이극장 80
 
10.9%
문화정보원 극장3 37
 
5.0%
어린이문화원 어린이체험관 33
 
4.5%
<NA> 17
 
2.3%
문화창조원 16
 
2.2%
기타 14
 
1.9%
예술극장 아틀리에1 11
 
1.5%
문화창조원 복합2관 10
 
1.4%
Other values (28) 105
14.3%

Length

2023-12-12T15:04:13.950203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
예술극장 425
30.0%
극장2 245
17.3%
극장1 167
 
11.8%
어린이문화원 148
 
10.4%
어린이극장 80
 
5.6%
문화창조원 63
 
4.4%
문화정보원 37
 
2.6%
극장3 37
 
2.6%
어린이체험관 33
 
2.3%
na 17
 
1.2%
Other values (33) 165
 
11.6%

요금정보
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
무료
394 
유료
341 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료
2nd row무료
3rd row유료
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
무료 394
53.6%
유료 341
46.4%

Length

2023-12-12T15:04:14.105458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:04:14.229898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 394
53.6%
유료 341
46.4%

Correlations

2023-12-12T15:04:14.317699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분장르대상상영시간(분)공연장소요금정보
구분1.0000.7330.6850.6630.7910.704
장르0.7331.0000.7780.7200.8430.432
대상0.6850.7781.0000.8690.8690.465
상영시간(분)0.6630.7200.8691.0000.7660.335
공연장소0.7910.8430.8690.7661.0000.480
요금정보0.7040.4320.4650.3350.4801.000
2023-12-12T15:04:14.431125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연장소요금정보장르대상구분
공연장소1.0000.3960.3460.3270.463
요금정보0.3961.0000.3380.3610.535
장르0.3460.3381.0000.2690.395
대상0.3270.3610.2691.0000.326
구분0.4630.5350.3950.3261.000
2023-12-12T15:04:14.549094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분장르대상공연장소요금정보
구분1.0000.3950.3260.4630.535
장르0.3951.0000.2690.3460.338
대상0.3260.2691.0000.3270.361
공연장소0.4630.3460.3271.0000.396
요금정보0.5350.3380.3610.3961.000

Missing values

2023-12-12T15:04:10.678117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:04:10.825547image/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

구분공연명장르대상상영시간(분)공연시작일공연종료일공연장소요금정보
0행사[2020 국제 공동 세미나]유라시안 연극의 뿌리와 새로운 전망기타8세이상2402020-11-012020-11-01예술극장 극장1무료
1행사[2020 국제 공동 창제작 시범공연]전쟁의 슬픔&슬픔과 씨앗상영8세이상1352020-10-302020-10-31예술극장 극장1무료
2공연2020 ACC 브런치<재즈 명반을 연주하다 - Kind of Blue>콘서트8세이상902020-10-282020-10-28예술극장 극장2유료
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4전시2020 ACC 지역-아시아작가전 <언·택트>전시전체관람602020-10-152021-03-14문화창조원 복합6관무료
5전시5.18민주화운동의 40주년 특별전<May to Day>전시전체관람902020-10-142020-11-29문화창조원 복합5관무료
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7행사2020 광주대구 달빛동맹 문화교류전공연8세이상1302020-10-132020-10-13예술극장 극장2무료
8행사2020 ACC투어 체험체험전체관람702020-10-102020-12-26기타유료
9공연2020 ACC 브런치<재즈 인 더 무비 Jazz in the Movie>콘서트8세이상902020-09-232020-09-23예술극장 극장2유료
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732공연컨템포러리토크_3.21_아피찻퐁없음전체관람2015-03-212015-03-21예술극장 극장1유료
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