Overview

Dataset statistics

Number of variables5
Number of observations108
Missing cells144
Missing cells (%)26.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Text4

Dataset

Description2006년 양악, 뮤지컬, 연극, 관련 행사 및 심포지엄 등 공연예술 관련 정보(연주회명, 장소, 일자 등 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076530/fileData.do

Alerts

작품명 및 기타 has 75 (69.4%) missing valuesMissing
비고 has 69 (63.9%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:06:54.729078
Analysis finished2023-12-11 23:06:55.594578
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Real number (ℝ)

Distinct88
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.347778
Minimum1.27
Maximum1126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:06:55.680975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.27
5-th percentile3.569
Q15.3075
median9.22
Q311.12
95-th percentile511.3
Maximum1126
Range1124.73
Interquartile range (IQR)5.8125

Descriptive statistics

Standard deviation219.23704
Coefficient of variation (CV)3.3549273
Kurtosis15.875847
Mean65.347778
Median Absolute Deviation (MAD)2.815
Skewness4.0413169
Sum7057.56
Variance48064.88
MonotonicityNot monotonic
2023-12-12T08:06:55.818496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.15 4
 
3.7%
5.1 3
 
2.8%
10.27 3
 
2.8%
6.3 3
 
2.8%
5.11 3
 
2.8%
10.25 3
 
2.8%
11.1 2
 
1.9%
9.21 2
 
1.9%
11.23 2
 
1.9%
6.2 2
 
1.9%
Other values (78) 81
75.0%
ValueCountFrequency (%)
1.27 1
0.9%
1.6 1
0.9%
2.2 1
0.9%
3.16 1
0.9%
3.21 1
0.9%
3.24 1
0.9%
4.18 1
0.9%
4.19 1
0.9%
4.2 1
0.9%
4.26 1
0.9%
ValueCountFrequency (%)
1126.0 1
0.9%
1124.0 1
0.9%
1121.0 1
0.9%
919.0 1
0.9%
517.0 1
0.9%
512.0 1
0.9%
510.0 1
0.9%
418.0 1
0.9%
12.3 1
0.9%
12.29 1
0.9%
Distinct95
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T08:06:56.085442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26.5
Mean length15.731481
Min length8

Characters and Unicode

Total characters1699
Distinct characters228
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

Unique88 ?
Unique (%)81.5%

Sample

1st row김종덕 신작가곡발표회 ‘나의 노래 그대 가슴에’
2nd row제주 늘푸른음악회(작곡발표화)
3rd row백현주 작곡발표회
4th row김현옥 작품발표회
5th row21세기악회 정기작품 발표회
ValueCountFrequency (%)
작곡발표회 22
 
6.3%
2006 11
 
3.2%
발표회 8
 
2.3%
노래 6
 
1.7%
정기연주회 6
 
1.7%
제34회 6
 
1.7%
부산창작음악축제 5
 
1.4%
서울 5
 
1.4%
작품발표회 5
 
1.4%
실내악 5
 
1.4%
Other values (207) 269
77.3%
2023-12-12T08:06:56.430491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
14.2%
137
 
8.1%
100
 
5.9%
65
 
3.8%
59
 
3.5%
58
 
3.4%
58
 
3.4%
55
 
3.2%
43
 
2.5%
34
 
2.0%
Other values (218) 848
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1247
73.4%
Space Separator 242
 
14.2%
Decimal Number 127
 
7.5%
Lowercase Letter 19
 
1.1%
Uppercase Letter 18
 
1.1%
Dash Punctuation 11
 
0.6%
Other Punctuation 10
 
0.6%
Initial Punctuation 9
 
0.5%
Final Punctuation 8
 
0.5%
Close Punctuation 4
 
0.2%
Other values (2) 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
137
 
11.0%
100
 
8.0%
65
 
5.2%
59
 
4.7%
58
 
4.7%
58
 
4.7%
55
 
4.4%
43
 
3.4%
34
 
2.7%
31
 
2.5%
Other values (175) 607
48.7%
Uppercase Letter
ValueCountFrequency (%)
I 3
16.7%
C 2
11.1%
A 2
11.1%
M 2
11.1%
U 2
11.1%
D 1
 
5.6%
S 1
 
5.6%
O 1
 
5.6%
P 1
 
5.6%
V 1
 
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
0 33
26.0%
2 24
18.9%
6 18
14.2%
3 15
11.8%
1 13
 
10.2%
4 10
 
7.9%
9 4
 
3.1%
7 4
 
3.1%
8 3
 
2.4%
5 3
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
t 5
26.3%
a 4
21.1%
o 2
 
10.5%
n 2
 
10.5%
i 2
 
10.5%
e 1
 
5.3%
d 1
 
5.3%
c 1
 
5.3%
r 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
' 2
 
20.0%
1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Initial Punctuation
ValueCountFrequency (%)
9
100.0%
Final Punctuation
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1245
73.3%
Common 415
 
24.4%
Latin 37
 
2.2%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
137
 
11.0%
100
 
8.0%
65
 
5.2%
59
 
4.7%
58
 
4.7%
58
 
4.7%
55
 
4.4%
43
 
3.5%
34
 
2.7%
31
 
2.5%
Other values (173) 605
48.6%
Common
ValueCountFrequency (%)
242
58.3%
0 33
 
8.0%
2 24
 
5.8%
6 18
 
4.3%
3 15
 
3.6%
1 13
 
3.1%
- 11
 
2.7%
4 10
 
2.4%
9
 
2.2%
8
 
1.9%
Other values (12) 32
 
7.7%
Latin
ValueCountFrequency (%)
t 5
13.5%
a 4
 
10.8%
I 3
 
8.1%
C 2
 
5.4%
A 2
 
5.4%
M 2
 
5.4%
o 2
 
5.4%
n 2
 
5.4%
i 2
 
5.4%
U 2
 
5.4%
Other values (11) 11
29.7%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1245
73.3%
ASCII 427
 
25.1%
Punctuation 18
 
1.1%
None 7
 
0.4%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
56.7%
0 33
 
7.7%
2 24
 
5.6%
6 18
 
4.2%
3 15
 
3.5%
1 13
 
3.0%
- 11
 
2.6%
4 10
 
2.3%
, 7
 
1.6%
t 5
 
1.2%
Other values (26) 49
 
11.5%
Hangul
ValueCountFrequency (%)
137
 
11.0%
100
 
8.0%
65
 
5.2%
59
 
4.7%
58
 
4.7%
58
 
4.7%
55
 
4.4%
43
 
3.5%
34
 
2.7%
31
 
2.5%
Other values (173) 605
48.6%
Punctuation
ValueCountFrequency (%)
9
50.0%
8
44.4%
1
 
5.6%
None
ValueCountFrequency (%)
3
42.9%
2
28.6%
1
 
14.3%
1
 
14.3%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

장소
Text

Distinct56
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T08:06:56.665531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.9074074
Min length4

Characters and Unicode

Total characters1070
Distinct characters117
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)37.0%

Sample

1st row김해문화의전당 누리홀
2nd row제주문예화관 대극장
3rd row금정문화회관 소공연장
4th row광주문화예술회관 소극장
5th row경기도 문화의 전당 소 공연장
ValueCountFrequency (%)
예술의전당 24
 
11.7%
소극장 17
 
8.3%
리사이틀홀 16
 
7.8%
영산아트홀 8
 
3.9%
부산문화회관 8
 
3.9%
광주문화예술회관 6
 
2.9%
중극장 6
 
2.9%
앙상블홀 5
 
2.4%
대전문화 5
 
2.4%
소공연장 5
 
2.4%
Other values (71) 105
51.2%
2023-12-12T08:06:57.004058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
9.2%
57
 
5.3%
48
 
4.5%
47
 
4.4%
46
 
4.3%
44
 
4.1%
43
 
4.0%
40
 
3.7%
38
 
3.6%
38
 
3.6%
Other values (107) 571
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 963
90.0%
Space Separator 98
 
9.2%
Uppercase Letter 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
5.9%
48
 
5.0%
47
 
4.9%
46
 
4.8%
44
 
4.6%
43
 
4.5%
40
 
4.2%
38
 
3.9%
38
 
3.9%
38
 
3.9%
Other values (98) 524
54.4%
Uppercase Letter
ValueCountFrequency (%)
K 2
22.2%
N 1
11.1%
U 1
11.1%
A 1
11.1%
G 1
11.1%
L 1
11.1%
B 1
11.1%
S 1
11.1%
Space Separator
ValueCountFrequency (%)
98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 963
90.0%
Common 98
 
9.2%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
5.9%
48
 
5.0%
47
 
4.9%
46
 
4.8%
44
 
4.6%
43
 
4.5%
40
 
4.2%
38
 
3.9%
38
 
3.9%
38
 
3.9%
Other values (98) 524
54.4%
Latin
ValueCountFrequency (%)
K 2
22.2%
N 1
11.1%
U 1
11.1%
A 1
11.1%
G 1
11.1%
L 1
11.1%
B 1
11.1%
S 1
11.1%
Common
ValueCountFrequency (%)
98
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 963
90.0%
ASCII 107
 
10.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
91.6%
K 2
 
1.9%
N 1
 
0.9%
U 1
 
0.9%
A 1
 
0.9%
G 1
 
0.9%
L 1
 
0.9%
B 1
 
0.9%
S 1
 
0.9%
Hangul
ValueCountFrequency (%)
57
 
5.9%
48
 
5.0%
47
 
4.9%
46
 
4.8%
44
 
4.6%
43
 
4.5%
40
 
4.2%
38
 
3.9%
38
 
3.9%
38
 
3.9%
Other values (98) 524
54.4%

작품명 및 기타
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing75
Missing (%)69.4%
Memory size996.0 B
2023-12-12T08:06:57.287705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length44
Mean length37.636364
Min length7

Characters and Unicode

Total characters1242
Distinct characters241
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row안경수, 최영섭, 김대웅, 신기복, 한지영, 정덕기 (작곡)
2nd row발표곡들 - Memories, 거문고와 타악기를 위 한 소품들, 바다에 대한 일곱가지 생각, 목관5 중주, 인성과 실내악을 위한 곡 ‘빈산 등
3rd row박계, 박진희, 이상록 박문경, 이정석(연주)
4th row정애련, 김준석, 김정덕, 정유하, 박은영, 이은나(작곡)
5th row김가연, 박은영, 김정덕, 장유화 황성호, 정유 하, 박은영, 이은나, 김준석, 정애련 김가연 김성훈, 한만섭(작곡)
ValueCountFrequency (%)
3
 
1.2%
박은영 3
 
1.2%
전낙표 3
 
1.2%
한광희 3
 
1.2%
김광순 3
 
1.2%
이준복(작곡) 2
 
0.8%
2
 
0.8%
이종록 2
 
0.8%
황성호 2
 
0.8%
이유 2
 
0.8%
Other values (214) 224
90.0%
2023-12-12T08:06:57.697971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
17.5%
, 128
 
10.3%
36
 
2.9%
32
 
2.6%
29
 
2.3%
26
 
2.1%
22
 
1.8%
19
 
1.5%
19
 
1.5%
18
 
1.4%
Other values (231) 696
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 714
57.5%
Space Separator 217
 
17.5%
Other Punctuation 135
 
10.9%
Lowercase Letter 66
 
5.3%
Open Punctuation 34
 
2.7%
Close Punctuation 34
 
2.7%
Uppercase Letter 23
 
1.9%
Initial Punctuation 7
 
0.6%
Final Punctuation 5
 
0.4%
Math Symbol 4
 
0.3%
Other values (2) 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
5.0%
32
 
4.5%
22
 
3.1%
19
 
2.7%
19
 
2.7%
18
 
2.5%
18
 
2.5%
15
 
2.1%
14
 
2.0%
14
 
2.0%
Other values (182) 507
71.0%
Lowercase Letter
ValueCountFrequency (%)
e 14
21.2%
r 8
12.1%
i 7
10.6%
n 7
10.6%
o 4
 
6.1%
a 4
 
6.1%
t 3
 
4.5%
l 3
 
4.5%
g 2
 
3.0%
m 2
 
3.0%
Other values (8) 12
18.2%
Uppercase Letter
ValueCountFrequency (%)
I 3
13.0%
C 3
13.0%
E 2
 
8.7%
M 2
 
8.7%
R 2
 
8.7%
B 2
 
8.7%
K 1
 
4.3%
F 1
 
4.3%
L 1
 
4.3%
T 1
 
4.3%
Other values (5) 5
21.7%
Open Punctuation
ValueCountFrequency (%)
29
85.3%
( 3
 
8.8%
2
 
5.9%
Close Punctuation
ValueCountFrequency (%)
26
76.5%
) 6
 
17.6%
2
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 128
94.8%
' 7
 
5.2%
Math Symbol
ValueCountFrequency (%)
< 2
50.0%
> 2
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Initial Punctuation
ValueCountFrequency (%)
7
100.0%
Final Punctuation
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 714
57.5%
Common 439
35.3%
Latin 89
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
5.0%
32
 
4.5%
22
 
3.1%
19
 
2.7%
19
 
2.7%
18
 
2.5%
18
 
2.5%
15
 
2.1%
14
 
2.0%
14
 
2.0%
Other values (182) 507
71.0%
Latin
ValueCountFrequency (%)
e 14
15.7%
r 8
 
9.0%
i 7
 
7.9%
n 7
 
7.9%
o 4
 
4.5%
a 4
 
4.5%
I 3
 
3.4%
t 3
 
3.4%
l 3
 
3.4%
C 3
 
3.4%
Other values (23) 33
37.1%
Common
ValueCountFrequency (%)
217
49.4%
, 128
29.2%
29
 
6.6%
26
 
5.9%
' 7
 
1.6%
7
 
1.6%
) 6
 
1.4%
5
 
1.1%
( 3
 
0.7%
2
 
0.5%
Other values (6) 9
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 714
57.5%
ASCII 457
36.8%
None 59
 
4.8%
Punctuation 12
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
47.5%
, 128
28.0%
e 14
 
3.1%
r 8
 
1.8%
i 7
 
1.5%
n 7
 
1.5%
' 7
 
1.5%
) 6
 
1.3%
o 4
 
0.9%
a 4
 
0.9%
Other values (33) 55
 
12.0%
Hangul
ValueCountFrequency (%)
36
 
5.0%
32
 
4.5%
22
 
3.1%
19
 
2.7%
19
 
2.7%
18
 
2.5%
18
 
2.5%
15
 
2.1%
14
 
2.0%
14
 
2.0%
Other values (182) 507
71.0%
None
ValueCountFrequency (%)
29
49.2%
26
44.1%
2
 
3.4%
2
 
3.4%
Punctuation
ValueCountFrequency (%)
7
58.3%
5
41.7%

비고
Text

MISSING 

Distinct37
Distinct (%)94.9%
Missing69
Missing (%)63.9%
Memory size996.0 B
2023-12-12T08:06:57.977265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length22
Mean length16.153846
Min length3

Characters and Unicode

Total characters630
Distinct characters196
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

Unique36 ?
Unique (%)92.3%

Sample

1st row김해작곡가협회 회장
2nd row창작가곡, 합창곡발표회
3rd row‘바흐의 찬미’, 트리오 ‘happy birthday’, 테마‘바위섬, 테마‘아리랑
4th row2006 통영국제음악제
5th row금정수요음악회
ValueCountFrequency (%)
한국악회주최 3
 
2.2%
3
 
2.2%
발표 3
 
2.2%
2006 2
 
1.5%
목소리 2
 
1.5%
창작공간 2
 
1.5%
음악가들의 2
 
1.5%
기념 2
 
1.5%
현대시조 2
 
1.5%
실내악의 2
 
1.5%
Other values (110) 114
83.2%
2023-12-12T08:06:58.432549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
15.6%
21
 
3.3%
17
 
2.7%
, 16
 
2.5%
14
 
2.2%
13
 
2.1%
13
 
2.1%
12
 
1.9%
12
 
1.9%
I 11
 
1.7%
Other values (186) 403
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
67.5%
Space Separator 98
 
15.6%
Other Punctuation 22
 
3.5%
Uppercase Letter 22
 
3.5%
Decimal Number 22
 
3.5%
Lowercase Letter 13
 
2.1%
Initial Punctuation 8
 
1.3%
Final Punctuation 8
 
1.3%
Close Punctuation 5
 
0.8%
Open Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
4.9%
17
 
4.0%
14
 
3.3%
13
 
3.1%
13
 
3.1%
12
 
2.8%
12
 
2.8%
9
 
2.1%
8
 
1.9%
7
 
1.6%
Other values (154) 299
70.4%
Lowercase Letter
ValueCountFrequency (%)
h 2
15.4%
a 2
15.4%
p 2
15.4%
y 2
15.4%
b 1
7.7%
i 1
7.7%
r 1
7.7%
t 1
7.7%
d 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
I 11
50.0%
N 3
 
13.6%
U 3
 
13.6%
C 2
 
9.1%
V 2
 
9.1%
M 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 16
72.7%
. 3
 
13.6%
" 1
 
4.5%
' 1
 
4.5%
1
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 9
40.9%
1 6
27.3%
2 4
18.2%
6 3
 
13.6%
Final Punctuation
ValueCountFrequency (%)
7
87.5%
1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
4
80.0%
) 1
 
20.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Initial Punctuation
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
67.5%
Common 170
 
27.0%
Latin 35
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
4.9%
17
 
4.0%
14
 
3.3%
13
 
3.1%
13
 
3.1%
12
 
2.8%
12
 
2.8%
9
 
2.1%
8
 
1.9%
7
 
1.6%
Other values (154) 299
70.4%
Common
ValueCountFrequency (%)
98
57.6%
, 16
 
9.4%
0 9
 
5.3%
8
 
4.7%
7
 
4.1%
1 6
 
3.5%
2 4
 
2.4%
4
 
2.4%
4
 
2.4%
. 3
 
1.8%
Other values (7) 11
 
6.5%
Latin
ValueCountFrequency (%)
I 11
31.4%
N 3
 
8.6%
U 3
 
8.6%
C 2
 
5.7%
h 2
 
5.7%
a 2
 
5.7%
p 2
 
5.7%
y 2
 
5.7%
V 2
 
5.7%
b 1
 
2.9%
Other values (5) 5
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
67.5%
ASCII 180
28.6%
Punctuation 17
 
2.7%
None 8
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
54.4%
, 16
 
8.9%
I 11
 
6.1%
0 9
 
5.0%
1 6
 
3.3%
2 4
 
2.2%
. 3
 
1.7%
6 3
 
1.7%
N 3
 
1.7%
- 3
 
1.7%
Other values (16) 24
 
13.3%
Hangul
ValueCountFrequency (%)
21
 
4.9%
17
 
4.0%
14
 
3.3%
13
 
3.1%
13
 
3.1%
12
 
2.8%
12
 
2.8%
9
 
2.1%
8
 
1.9%
7
 
1.6%
Other values (154) 299
70.4%
Punctuation
ValueCountFrequency (%)
8
47.1%
7
41.2%
1
 
5.9%
1
 
5.9%
None
ValueCountFrequency (%)
4
50.0%
4
50.0%

Interactions

2023-12-12T08:06:55.318302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:06:58.531498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자연주회명장소작품명 및 기타비고
일자1.0000.8660.0001.0001.000
연주회명0.8661.0000.9901.0000.930
장소0.0000.9901.0001.0000.968
작품명 및 기타1.0001.0001.0001.0001.000
비고1.0000.9300.9681.0001.000

Missing values

2023-12-12T08:06:55.408004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:06:55.480065image/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.
2023-12-12T08:06:55.546514image/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

일자연주회명장소작품명 및 기타비고
01.6김종덕 신작가곡발표회 ‘나의 노래 그대 가슴에’김해문화의전당 누리홀<NA>김해작곡가협회 회장
11.27제주 늘푸른음악회(작곡발표화)제주문예화관 대극장안경수, 최영섭, 김대웅, 신기복, 한지영, 정덕기 (작곡)창작가곡, 합창곡발표회
22.2백현주 작곡발표회금정문화회관 소공연장발표곡들 - Memories, 거문고와 타악기를 위 한 소품들, 바다에 대한 일곱가지 생각, 목관5 중주, 인성과 실내악을 위한 곡 ‘빈산 등<NA>
33.16김현옥 작품발표회광주문화예술회관 소극장박계, 박진희, 이상록 박문경, 이정석(연주)‘바흐의 찬미’, 트리오 ‘happy birthday’, 테마‘바위섬, 테마‘아리랑
43.2121세기악회 정기작품 발표회경기도 문화의 전당 소 공연장<NA><NA>
53.24한국의 작곡가들통영문화얘술회관 소극장<NA>2006 통영국제음악제
64.2이수현 작곡발표회금호아트홀<NA><NA>
74.4실랑스 작곡발표회대구문화예술회관 소극장<NA><NA>
84.18제36회 창작 가곡발표회광주문화예술회관 소극장정애련, 김준석, 김정덕, 정유하, 박은영, 이은나(작곡)<NA>
9418.0연작회, 광주작곡가회 창작7꽤 표회광주문화예술회관 소극장김가연, 박은영, 김정덕, 장유화 황성호, 정유 하, 박은영, 이은나, 김준석, 정애련 김가연 김성훈, 한만섭(작곡)<NA>
일자연주회명장소작품명 및 기타비고
9811.23조인선 작곡발표회-지나간 그림자예술의전당 리사이틀홀<NA>음악가들의 창작공간 2006
9911.23서울 국제 컴퓨터음악 페스티벌예술의전당 자유소극장<NA><NA>
1001124.0서울 국제 컴퓨터음악 페스티벌예술의전당 자유소극장<NA><NA>
10111.25서울 국제 컴퓨터음악 페스티벌예술의전당 자유소극장<NA><NA>
1021126.0서울 국제 컴퓨터음악 페스티벌예술의전당 자유소극장<NA><NA>
10312.3한옥미 작곡발표회영산아트홀<NA><NA>
10412.13대한민국 실내악 작곡제전예술의전당 리사이틀홀이기녕, 오세일, 안희정, 이복남, 윤상열, 박 재열(작곡)한국의 어제와 오늘
10512.21하순봉 작곡발표회부산문화회관 소극장발표곡 ‘Entrainment II’ 등,<NA>
10612.23서정선 작품발표회-화려한 당신이 좋아부암아트홀<NA>부암아트홀 초청 토요음악회
10712.29신진 창작 예술가의 밤영산아트홀<NA><NA>