Overview

Dataset statistics

Number of variables10
Number of observations2627
Missing cells4041
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory210.5 KiB
Average record size in memory82.1 B

Variable types

Numeric2
Text6
Categorical2

Dataset

Description1999~2006 공연예술 관련 수상 정보(시상명, 일자, 수상자/수상작, 주최 등 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15096745/fileData.do

Alerts

연번 is highly overall correlated with 연도High correlation
연도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
지역 is highly overall correlated with 연도High correlation
비고 is highly imbalanced (81.1%)Imbalance
지역 is highly imbalanced (82.1%)Imbalance
수상자/수상작 has 1561 (59.4%) missing valuesMissing
주최 has 692 (26.3%) missing valuesMissing
장소 has 930 (35.4%) missing valuesMissing
부문및대상 has 858 (32.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:14:48.348861
Analysis finished2023-12-12 21:14:50.415798
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2627
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1314
Minimum1
Maximum2627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2023-12-13T06:14:50.493289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile132.3
Q1657.5
median1314
Q31970.5
95-th percentile2495.7
Maximum2627
Range2626
Interquartile range (IQR)1313

Descriptive statistics

Standard deviation758.4939
Coefficient of variation (CV)0.57724041
Kurtosis-1.2
Mean1314
Median Absolute Deviation (MAD)657
Skewness0
Sum3451878
Variance575313
MonotonicityStrictly increasing
2023-12-13T06:14:50.632077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1747 1
 
< 0.1%
1749 1
 
< 0.1%
1750 1
 
< 0.1%
1751 1
 
< 0.1%
1752 1
 
< 0.1%
1753 1
 
< 0.1%
1754 1
 
< 0.1%
1755 1
 
< 0.1%
1756 1
 
< 0.1%
Other values (2617) 2617
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2627 1
< 0.1%
2626 1
< 0.1%
2625 1
< 0.1%
2624 1
< 0.1%
2623 1
< 0.1%
2622 1
< 0.1%
2621 1
< 0.1%
2620 1
< 0.1%
2619 1
< 0.1%
2618 1
< 0.1%

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2002.1671
Minimum1999
Maximum2006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2023-12-13T06:14:50.730012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile1999
Q12000
median2002
Q32004
95-th percentile2006
Maximum2006
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2086204
Coefficient of variation (CV)0.0011031149
Kurtosis-1.1449297
Mean2002.1671
Median Absolute Deviation (MAD)2
Skewness0.22174867
Sum5259693
Variance4.8780039
MonotonicityIncreasing
2023-12-13T06:14:50.825178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2001 417
15.9%
2002 414
15.8%
2000 391
14.9%
1999 341
13.0%
2005 317
12.1%
2004 291
11.1%
2003 232
8.8%
2006 224
8.5%
ValueCountFrequency (%)
1999 341
13.0%
2000 391
14.9%
2001 417
15.9%
2002 414
15.8%
2003 232
8.8%
2004 291
11.1%
2005 317
12.1%
2006 224
8.5%
ValueCountFrequency (%)
2006 224
8.5%
2005 317
12.1%
2004 291
11.1%
2003 232
8.8%
2002 414
15.8%
2001 417
15.9%
2000 391
14.9%
1999 341
13.0%

시상명
Text

Distinct2185
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-13T06:14:51.088719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length15.770461
Min length3

Characters and Unicode

Total characters41429
Distinct characters443
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

Unique2056 ?
Unique (%)78.3%

Sample

1st row제35회 백상예술대상
2nd row제35회 백상예술대상
3rd row제35회 백상예술대상
4th row제35회 백상예술대상
5th row제35회 백상예술대상
ValueCountFrequency (%)
전국 434
 
5.3%
대회 420
 
5.1%
제1회 176
 
2.2%
제3회 163
 
2.0%
콩쿠르 161
 
2.0%
제2회 157
 
1.9%
경연대회 139
 
1.7%
음악콩쿠르 127
 
1.6%
제5회 125
 
1.5%
제4회 118
 
1.4%
Other values (1936) 6155
75.3%
2023-12-13T06:14:51.490143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5976
 
14.4%
회 3327
 
8.0%
제 2577
 
6.2%
국 2034
 
4.9%
대 1731
 
4.2%
전 1463
 
3.5%
악 1320
 
3.2%
연 1212
 
2.9%
경 1168
 
2.8%
1 834
 
2.0%
Other values (433) 19787
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31013
74.9%
Space Separator 5976
 
14.4%
Decimal Number 4023
 
9.7%
Uppercase Letter 136
 
0.3%
Other Punctuation 109
 
0.3%
Open Punctuation 36
 
0.1%
Close Punctuation 36
 
0.1%
Dash Punctuation 32
 
0.1%
Final Punctuation 31
 
0.1%
Lowercase Letter 15
 
< 0.1%
Other values (2) 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 3327
 
10.7%
제 2577
 
8.3%
국 2034
 
6.6%
대 1731
 
5.6%
전 1463
 
4.7%
악 1320
 
4.3%
연 1212
 
3.9%
경 1168
 
3.8%
콩 677
 
2.2%
음 671
 
2.2%
Other values (379) 14833
47.8%
Uppercase Letter
ValueCountFrequency (%)
B 29
21.3%
S 26
19.1%
K 16
11.8%
C 13
9.6%
A 8
 
5.9%
F 8
 
5.9%
P 7
 
5.1%
M 7
 
5.1%
T 6
 
4.4%
E 5
 
3.7%
Other values (5) 11
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 834
20.7%
2 732
18.2%
0 612
15.2%
3 431
10.7%
5 320
 
8.0%
4 286
 
7.1%
9 240
 
6.0%
6 214
 
5.3%
8 179
 
4.4%
7 175
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
i 3
20.0%
s 2
13.3%
e 2
13.3%
t 2
13.3%
y 1
 
6.7%
r 1
 
6.7%
v 1
 
6.7%
n 1
 
6.7%
w 1
 
6.7%
d 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
• 47
43.1%
, 39
35.8%
. 18
 
16.5%
' 4
 
3.7%
/ 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
（ 30
83.3%
( 4
 
11.1%
〈 2
 
5.6%
Close Punctuation
ValueCountFrequency (%)
） 28
77.8%
) 6
 
16.7%
〉 2
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 31
96.9%
— 1
 
3.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 13
92.9%
“ 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
＜ 4
50.0%
＞ 4
50.0%
Space Separator
ValueCountFrequency (%)
5976
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31004
74.8%
Common 10265
 
24.8%
Latin 151
 
0.4%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 3327
 
10.7%
제 2577
 
8.3%
국 2034
 
6.6%
대 1731
 
5.6%
전 1463
 
4.7%
악 1320
 
4.3%
연 1212
 
3.9%
경 1168
 
3.8%
콩 677
 
2.2%
음 671
 
2.2%
Other values (374) 14824
47.8%
Common
ValueCountFrequency (%)
5976
58.2%
1 834
 
8.1%
2 732
 
7.1%
0 612
 
6.0%
3 431
 
4.2%
5 320
 
3.1%
4 286
 
2.8%
9 240
 
2.3%
6 214
 
2.1%
8 179
 
1.7%
Other values (19) 441
 
4.3%
Latin
ValueCountFrequency (%)
B 29
19.2%
S 26
17.2%
K 16
10.6%
C 13
8.6%
A 8
 
5.3%
F 8
 
5.3%
P 7
 
4.6%
M 7
 
4.6%
T 6
 
4.0%
E 5
 
3.3%
Other values (15) 26
17.2%
Han
ValueCountFrequency (%)
一 3
33.3%
人 2
22.2%
技 2
22.2%
藝 1
 
11.1%
家 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31004
74.8%
ASCII 10253
 
24.7%
Punctuation 93
 
0.2%
None 70
 
0.2%
CJK 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5976
58.3%
1 834
 
8.1%
2 732
 
7.1%
0 612
 
6.0%
3 431
 
4.2%
5 320
 
3.1%
4 286
 
2.8%
9 240
 
2.3%
6 214
 
2.1%
8 179
 
1.7%
Other values (33) 429
 
4.2%
Hangul
ValueCountFrequency (%)
회 3327
 
10.7%
제 2577
 
8.3%
국 2034
 
6.6%
대 1731
 
5.6%
전 1463
 
4.7%
악 1320
 
4.3%
연 1212
 
3.9%
경 1168
 
3.8%
콩 677
 
2.2%
음 671
 
2.2%
Other values (374) 14824
47.8%
Punctuation
ValueCountFrequency (%)
• 47
50.5%
’ 31
33.3%
‘ 13
 
14.0%
“ 1
 
1.1%
— 1
 
1.1%
None
ValueCountFrequency (%)
（ 30
42.9%
） 28
40.0%
＜ 4
 
5.7%
＞ 4
 
5.7%
〈 2
 
2.9%
〉 2
 
2.9%
CJK
ValueCountFrequency (%)
一 3
33.3%
人 2
22.2%
技 2
22.2%
藝 1
 
11.1%
家 1
 
11.1%

일자
Text

Distinct1428
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-13T06:14:51.708145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length10
Mean length14.08032
Min length10

Characters and Unicode

Total characters36989
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1100 ?
Unique (%)41.9%

Sample

1st row1999-00-00
2nd row1999-00-00
3rd row1999-00-00
4th row1999-00-00
5th row1999-00-00
ValueCountFrequency (%)
2000-00-00 102
 
3.9%
1999-00-00 101
 
3.8%
2001-00-00 101
 
3.8%
2002-00-00 88
 
3.3%
2005-00-00 43
 
1.6%
2006-00-00 41
 
1.6%
2004-00-00 39
 
1.5%
2003-00-00 24
 
0.9%
1999-10-10 21
 
0.8%
2000-09-00 21
 
0.8%
Other values (1423) 2051
77.9%
2023-12-13T06:14:52.074322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13413
36.3%
- 7202
19.5%
2 5089
 
13.8%
1 3621
 
9.8%
9 2070
 
5.6%
5 1154
 
3.1%
~ 969
 
2.6%
6 909
 
2.5%
3 852
 
2.3%
4 811
 
2.2%
Other values (4) 899
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28808
77.9%
Dash Punctuation 7202
 
19.5%
Math Symbol 969
 
2.6%
Other Punctuation 5
 
< 0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13413
46.6%
2 5089
 
17.7%
1 3621
 
12.6%
9 2070
 
7.2%
5 1154
 
4.0%
6 909
 
3.2%
3 852
 
3.0%
4 811
 
2.8%
8 499
 
1.7%
7 390
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 7202
100.0%
Math Symbol
ValueCountFrequency (%)
~ 969
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36989
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13413
36.3%
- 7202
19.5%
2 5089
 
13.8%
1 3621
 
9.8%
9 2070
 
5.6%
5 1154
 
3.1%
~ 969
 
2.6%
6 909
 
2.5%
3 852
 
2.3%
4 811
 
2.2%
Other values (4) 899
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13413
36.3%
- 7202
19.5%
2 5089
 
13.8%
1 3621
 
9.8%
9 2070
 
5.6%
5 1154
 
3.1%
~ 969
 
2.6%
6 909
 
2.5%
3 852
 
2.3%
4 811
 
2.2%
Other values (4) 899
 
2.4%

수상자/수상작
Text

MISSING 

Distinct1044
Distinct (%)97.9%
Missing1561
Missing (%)59.4%
Memory size20.7 KiB
2023-12-13T06:14:52.384903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length456
Mean length71.489681
Min length1

Characters and Unicode

Total characters76208
Distinct characters754
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1029 ?
Unique (%)96.5%

Sample

1st row오태석
2nd row천년의 수인（오태석）
3rd row오태석（천년의 수인）
4th row이윤택（느낌, 극락같은）
5th row신구（느낌, 극락같은）
ValueCountFrequency (%)
1899
 
13.3%
대상 235
 
1.6%
외 213
 
1.5%
최우수상 167
 
1.2%
일반부 149
 
1.0%
상 130
 
0.9%
우수상 108
 
0.8%
고등부 93
 
0.7%
장려상 81
 
0.6%
판소리 78
 
0.5%
Other values (7258) 11115
77.9%
2023-12-13T06:14:52.843501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14885
 
19.5%
상 3075
 
4.0%
） 2758
 
3.6%
, 2743
 
3.6%
（ 2738
 
3.6%
/ 1585
 
2.1%
부 1527
 
2.0%
대 1231
 
1.6%
장 1072
 
1.4%
수 970
 
1.3%
Other values (744) 43624
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47501
62.3%
Space Separator 14885
 
19.5%
Other Punctuation 5462
 
7.2%
Open Punctuation 2950
 
3.9%
Close Punctuation 2930
 
3.8%
Decimal Number 1010
 
1.3%
Dash Punctuation 571
 
0.7%
Math Symbol 396
 
0.5%
Control 270
 
0.4%
Other Symbol 100
 
0.1%
Other values (5) 133
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 3075
 
6.5%
부 1527
 
3.2%
대 1231
 
2.6%
장 1072
 
2.3%
수 970
 
2.0%
이 959
 
2.0%
김 900
 
1.9%
고 834
 
1.8%
우 790
 
1.7%
악 716
 
1.5%
Other values (651) 35427
74.6%
Uppercase Letter
ValueCountFrequency (%)
C 11
16.4%
B 10
14.9%
S 9
13.4%
K 7
10.4%
M 6
9.0%
I 4
 
6.0%
A 3
 
4.5%
D 3
 
4.5%
T 2
 
3.0%
J 2
 
3.0%
Other values (8) 10
14.9%
Other Punctuation
ValueCountFrequency (%)
, 2743
50.2%
/ 1585
29.0%
: 867
 
15.9%
. 69
 
1.3%
" 60
 
1.1%
* 40
 
0.7%
• 40
 
0.7%
： 39
 
0.7%
! 7
 
0.1%
， 3
 
0.1%
Other values (5) 9
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
o 28
58.3%
e 4
 
8.3%
u 2
 
4.2%
r 2
 
4.2%
b 2
 
4.2%
a 2
 
4.2%
m 1
 
2.1%
c 1
 
2.1%
s 1
 
2.1%
d 1
 
2.1%
Other values (4) 4
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 283
28.0%
3 209
20.7%
2 178
17.6%
4 93
 
9.2%
6 56
 
5.5%
0 55
 
5.4%
5 55
 
5.4%
8 29
 
2.9%
7 26
 
2.6%
9 26
 
2.6%
Other Symbol
ValueCountFrequency (%)
▲ 40
40.0%
△ 21
21.0%
► 15
 
15.0%
◇ 9
 
9.0%
◊ 7
 
7.0%
□ 5
 
5.0%
© 2
 
2.0%
■ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
） 2758
94.1%
〉 118
 
4.0%
) 41
 
1.4%
］ 9
 
0.3%
】 3
 
0.1%
｝ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
（ 2738
92.8%
〈 122
 
4.1%
( 74
 
2.5%
［ 9
 
0.3%
｛ 4
 
0.1%
【 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
＜ 122
30.8%
＞ 122
30.8%
< 51
12.9%
> 50
12.6%
▷ 29
 
7.3%
= 22
 
5.6%
Final Punctuation
ValueCountFrequency (%)
’ 6
66.7%
” 2
 
22.2%
» 1
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 566
99.1%
— 5
 
0.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
83.3%
“ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
14885
100.0%
Control
ValueCountFrequency (%)
270
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47479
62.3%
Common 28592
37.5%
Latin 115
 
0.2%
Han 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 3075
 
6.5%
부 1527
 
3.2%
대 1231
 
2.6%
장 1072
 
2.3%
수 970
 
2.0%
이 959
 
2.0%
김 900
 
1.9%
고 834
 
1.8%
우 790
 
1.7%
악 716
 
1.5%
Other values (636) 35405
74.6%
Common
ValueCountFrequency (%)
14885
52.1%
） 2758
 
9.6%
, 2743
 
9.6%
（ 2738
 
9.6%
/ 1585
 
5.5%
: 867
 
3.0%
- 566
 
2.0%
1 283
 
1.0%
270
 
0.9%
3 209
 
0.7%
Other values (51) 1688
 
5.9%
Latin
ValueCountFrequency (%)
o 28
24.3%
C 11
 
9.6%
B 10
 
8.7%
S 9
 
7.8%
K 7
 
6.1%
M 6
 
5.2%
e 4
 
3.5%
I 4
 
3.5%
A 3
 
2.6%
D 3
 
2.6%
Other values (22) 30
26.1%
Han
ValueCountFrequency (%)
竹 4
18.2%
爾 4
18.2%
子 2
 
9.1%
金 1
 
4.5%
和 1
 
4.5%
原 1
 
4.5%
北 1
 
4.5%
蓮 1
 
4.5%
花 1
 
4.5%
芳 1
 
4.5%
Other values (5) 5
22.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47479
62.3%
ASCII 22465
29.5%
None 6056
 
7.9%
Geometric Shapes 127
 
0.2%
Punctuation 59
 
0.1%
CJK 21
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14885
66.3%
, 2743
 
12.2%
/ 1585
 
7.1%
: 867
 
3.9%
- 566
 
2.5%
1 283
 
1.3%
270
 
1.2%
3 209
 
0.9%
2 178
 
0.8%
4 93
 
0.4%
Other values (51) 786
 
3.5%
Hangul
ValueCountFrequency (%)
상 3075
 
6.5%
부 1527
 
3.2%
대 1231
 
2.6%
장 1072
 
2.3%
수 970
 
2.0%
이 959
 
2.0%
김 900
 
1.9%
고 834
 
1.8%
우 790
 
1.7%
악 716
 
1.5%
Other values (636) 35405
74.6%
None
ValueCountFrequency (%)
） 2758
45.5%
（ 2738
45.2%
＜ 122
 
2.0%
＞ 122
 
2.0%
〈 122
 
2.0%
〉 118
 
1.9%
： 39
 
0.6%
［ 9
 
0.1%
］ 9
 
0.1%
｛ 4
 
0.1%
Other values (8) 15
 
0.2%
Geometric Shapes
ValueCountFrequency (%)
▲ 40
31.5%
▷ 29
22.8%
△ 21
16.5%
► 15
 
11.8%
◇ 9
 
7.1%
◊ 7
 
5.5%
□ 5
 
3.9%
■ 1
 
0.8%
Punctuation
ValueCountFrequency (%)
• 40
67.8%
’ 6
 
10.2%
‘ 5
 
8.5%
— 5
 
8.5%
” 2
 
3.4%
“ 1
 
1.7%
CJK
ValueCountFrequency (%)
竹 4
19.0%
爾 4
19.0%
子 2
9.5%
金 1
 
4.8%
和 1
 
4.8%
原 1
 
4.8%
北 1
 
4.8%
花 1
 
4.8%
芳 1
 
4.8%
野 1
 
4.8%
Other values (4) 4
19.0%
CJK Compat Ideographs
ValueCountFrequency (%)
蓮 1
100.0%

주최
Text

MISSING 

Distinct1231
Distinct (%)63.6%
Missing692
Missing (%)26.3%
Memory size20.7 KiB
2023-12-13T06:14:53.112888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length9.0904393
Min length2

Characters and Unicode

Total characters17590
Distinct characters412
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

Unique926 ?
Unique (%)47.9%

Sample

1st row숭실대학교
2nd row한국전자음악 협회
3rd row음악교육신문사
4th row한국 필하모니 오케스트라, 한국음악연구원
5th row서울페스티벌 아티스트
ValueCountFrequency (%)
주최 124
 
3.8%
국악협회 90
 
2.8%
한국국악협회 52
 
1.6%
kbs 38
 
1.2%
（사） 31
 
1.0%
한국예총 23
 
0.7%
한국음악협회 21
 
0.6%
한국전통예술진흥회 21
 
0.6%
대한시우회 19
 
0.6%
음악교육신문 18
 
0.6%
Other values (1353) 2816
86.6%
2023-12-13T06:14:53.551915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1322
 
7.5%
회 880
 
5.0%
국 773
 
4.4%
대 513
 
2.9%
악 469
 
2.7%
한 467
 
2.7%
교 444
 
2.5%
주 412
 
2.3%
학 406
 
2.3%
협 353
 
2.0%
Other values (402) 11551
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15269
86.8%
Space Separator 1322
 
7.5%
Uppercase Letter 290
 
1.6%
Other Punctuation 233
 
1.3%
Close Punctuation 150
 
0.9%
Open Punctuation 149
 
0.8%
Decimal Number 132
 
0.8%
Lowercase Letter 28
 
0.2%
Dash Punctuation 8
 
< 0.1%
Other Symbol 4
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 880
 
5.8%
국 773
 
5.1%
대 513
 
3.4%
악 469
 
3.1%
한 467
 
3.1%
교 444
 
2.9%
주 412
 
2.7%
학 406
 
2.7%
협 353
 
2.3%
원 332
 
2.2%
Other values (340) 10220
66.9%
Uppercase Letter
ValueCountFrequency (%)
B 81
27.9%
S 67
23.1%
K 52
17.9%
C 25
 
8.6%
M 22
 
7.6%
T 8
 
2.8%
P 6
 
2.1%
E 6
 
2.1%
F 5
 
1.7%
J 4
 
1.4%
Other values (9) 14
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.3%
i 4
14.3%
s 3
10.7%
d 2
 
7.1%
y 2
 
7.1%
f 2
 
7.1%
t 2
 
7.1%
z 1
 
3.6%
k 1
 
3.6%
o 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
0 39
29.5%
1 21
15.9%
2 17
12.9%
4 17
12.9%
7 16
12.1%
3 13
 
9.8%
5 4
 
3.0%
6 2
 
1.5%
9 2
 
1.5%
8 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 212
91.0%
. 12
 
5.2%
• 4
 
1.7%
： 2
 
0.9%
· 1
 
0.4%
: 1
 
0.4%
/ 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
（ 102
68.5%
( 47
31.5%
Close Punctuation
ValueCountFrequency (%)
） 99
66.0%
) 51
34.0%
Math Symbol
ValueCountFrequency (%)
＜ 2
50.0%
＞ 2
50.0%
Space Separator
ValueCountFrequency (%)
1322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Spacing Mark
ValueCountFrequency (%)
〮 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15274
86.8%
Common 1998
 
11.4%
Latin 318
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 880
 
5.8%
국 773
 
5.1%
대 513
 
3.4%
악 469
 
3.1%
한 467
 
3.1%
교 444
 
2.9%
주 412
 
2.7%
학 406
 
2.7%
협 353
 
2.3%
원 332
 
2.2%
Other values (342) 10225
66.9%
Latin
ValueCountFrequency (%)
B 81
25.5%
S 67
21.1%
K 52
16.4%
C 25
 
7.9%
M 22
 
6.9%
T 8
 
2.5%
P 6
 
1.9%
E 6
 
1.9%
F 5
 
1.6%
J 4
 
1.3%
Other values (25) 42
13.2%
Common
ValueCountFrequency (%)
1322
66.2%
, 212
 
10.6%
（ 102
 
5.1%
） 99
 
5.0%
) 51
 
2.6%
( 47
 
2.4%
0 39
 
2.0%
1 21
 
1.1%
2 17
 
0.9%
4 17
 
0.9%
Other values (15) 71
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15269
86.8%
ASCII 2104
 
12.0%
None 213
 
1.2%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1322
62.8%
, 212
 
10.1%
B 81
 
3.8%
S 67
 
3.2%
K 52
 
2.5%
) 51
 
2.4%
( 47
 
2.2%
0 39
 
1.9%
C 25
 
1.2%
M 22
 
1.0%
Other values (43) 186
 
8.8%
Hangul
ValueCountFrequency (%)
회 880
 
5.8%
국 773
 
5.1%
대 513
 
3.4%
악 469
 
3.1%
한 467
 
3.1%
교 444
 
2.9%
주 412
 
2.7%
학 406
 
2.7%
협 353
 
2.3%
원 332
 
2.2%
Other values (340) 10220
66.9%
None
ValueCountFrequency (%)
（ 102
47.9%
） 99
46.5%
㈜ 4
 
1.9%
： 2
 
0.9%
＜ 2
 
0.9%
＞ 2
 
0.9%
· 1
 
0.5%
〮 1
 
0.5%
Punctuation
ValueCountFrequency (%)
• 4
100.0%

비고
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2369 
장관
 
125
대통령
 
56
지역
 
28
총리
 
19
Other values (7)
 
30

Length

Max length11
Median length4
Mean length3.8481157
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2369
90.2%
장관 125
 
4.8%
대통령 56
 
2.1%
지역 28
 
1.1%
총리 19
 
0.7%
국무총리상 15
 
0.6%
학교 10
 
0.4%
문화재청장 1
 
< 0.1%
총장상 1
 
< 0.1%
도지사 1
 
< 0.1%
Other values (2) 2
 
0.1%

Length

2023-12-13T06:14:53.704268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2369
90.1%
장관 125
 
4.8%
대통령 56
 
2.1%
지역 28
 
1.1%
총리 19
 
0.7%
국무총리상 15
 
0.6%
학교 10
 
0.4%
문화재청장 1
 
< 0.1%
총장상 1
 
< 0.1%
도지사 1
 
< 0.1%
Other values (3) 3
 
0.1%

장소
Text

MISSING 

Distinct1201
Distinct (%)70.8%
Missing930
Missing (%)35.4%
Memory size20.7 KiB
2023-12-13T06:14:53.953933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length434
Median length187
Mean length12.768415
Min length2

Characters and Unicode

Total characters21668
Distinct characters431
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

Unique943 ?
Unique (%)55.6%

Sample

1st row강릉 구정초교 운동장
2nd row경북상주문화회관
3rd row진해시민회관（소）
4th row진해시민회관（소）
5th row진주농업협동조합 본소 2층 강당
ValueCountFrequency (%)
대강당 89
 
2.1%
87
 
2.0%
공연장 49
 
1.1%
대공연장 46
 
1.1%
국립국악원 45
 
1.0%
대극장 45
 
1.0%
서울 42
 
1.0%
음악관 36
 
0.8%
강당 35
 
0.8%
세종문화회관 34
 
0.8%
Other values (1687) 3815
88.2%
2023-12-13T06:14:54.407580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2625
 
12.1%
관 973
 
4.5%
대 759
 
3.5%
회 702
 
3.2%
문 597
 
2.8%
화 493
 
2.3%
예 456
 
2.1%
장 417
 
1.9%
학 396
 
1.8%
주 377
 
1.7%
Other values (421) 13873
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17676
81.6%
Space Separator 2625
 
12.1%
Other Punctuation 352
 
1.6%
Decimal Number 339
 
1.6%
Close Punctuation 168
 
0.8%
Open Punctuation 165
 
0.8%
Uppercase Letter 120
 
0.6%
Dash Punctuation 79
 
0.4%
Control 69
 
0.3%
Math Symbol 32
 
0.1%
Other values (3) 43
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 973
 
5.5%
대 759
 
4.3%
회 702
 
4.0%
문 597
 
3.4%
화 493
 
2.8%
예 456
 
2.6%
장 417
 
2.4%
학 396
 
2.2%
주 377
 
2.1%
전 343
 
1.9%
Other values (359) 12163
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 30
25.0%
B 29
24.2%
K 25
20.8%
C 9
 
7.5%
M 8
 
6.7%
D 6
 
5.0%
T 3
 
2.5%
U 3
 
2.5%
O 3
 
2.5%
V 1
 
0.8%
Other values (3) 3
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
t 4
20.0%
r 3
15.0%
l 2
10.0%
a 2
10.0%
o 2
10.0%
s 1
 
5.0%
h 1
 
5.0%
p 1
 
5.0%
e 1
 
5.0%
n 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
0 118
34.8%
1 50
14.7%
2 42
 
12.4%
5 36
 
10.6%
9 21
 
6.2%
6 19
 
5.6%
4 16
 
4.7%
3 15
 
4.4%
8 13
 
3.8%
7 9
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 211
59.9%
: 57
 
16.2%
. 47
 
13.4%
： 20
 
5.7%
• 8
 
2.3%
/ 5
 
1.4%
※ 2
 
0.6%
& 1
 
0.3%
; 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
▷ 24
75.0%
＞ 4
 
12.5%
＜ 2
 
6.2%
< 1
 
3.1%
~ 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
（ 155
93.9%
( 9
 
5.5%
〈 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 74
93.7%
〜 3
 
3.8%
— 2
 
2.5%
Close Punctuation
ValueCountFrequency (%)
） 146
86.9%
) 22
 
13.1%
Other Symbol
ValueCountFrequency (%)
► 20
90.9%
□ 2
 
9.1%
Space Separator
ValueCountFrequency (%)
2625
100.0%
Control
ValueCountFrequency (%)
69
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17674
81.6%
Common 3852
 
17.8%
Latin 140
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 973
 
5.5%
대 759
 
4.3%
회 702
 
4.0%
문 597
 
3.4%
화 493
 
2.8%
예 456
 
2.6%
장 417
 
2.4%
학 396
 
2.2%
주 377
 
2.1%
전 343
 
1.9%
Other values (358) 12161
68.8%
Common
ValueCountFrequency (%)
2625
68.1%
, 211
 
5.5%
（ 155
 
4.0%
） 146
 
3.8%
0 118
 
3.1%
- 74
 
1.9%
69
 
1.8%
: 57
 
1.5%
1 50
 
1.3%
. 47
 
1.2%
Other values (27) 300
 
7.8%
Latin
ValueCountFrequency (%)
S 30
21.4%
B 29
20.7%
K 25
17.9%
C 9
 
6.4%
M 8
 
5.7%
D 6
 
4.3%
t 4
 
2.9%
T 3
 
2.1%
r 3
 
2.1%
U 3
 
2.1%
Other values (15) 20
14.3%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17674
81.6%
ASCII 3603
 
16.6%
None 331
 
1.5%
Geometric Shapes 46
 
0.2%
Punctuation 12
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2625
72.9%
, 211
 
5.9%
0 118
 
3.3%
- 74
 
2.1%
69
 
1.9%
: 57
 
1.6%
1 50
 
1.4%
. 47
 
1.3%
2 42
 
1.2%
5 36
 
1.0%
Other values (39) 274
 
7.6%
Hangul
ValueCountFrequency (%)
관 973
 
5.5%
대 759
 
4.3%
회 702
 
4.0%
문 597
 
3.4%
화 493
 
2.8%
예 456
 
2.6%
장 417
 
2.4%
학 396
 
2.2%
주 377
 
2.1%
전 343
 
1.9%
Other values (358) 12161
68.8%
None
ValueCountFrequency (%)
（ 155
46.8%
） 146
44.1%
： 20
 
6.0%
＞ 4
 
1.2%
〜 3
 
0.9%
＜ 2
 
0.6%
〈 1
 
0.3%
Geometric Shapes
ValueCountFrequency (%)
▷ 24
52.2%
► 20
43.5%
□ 2
 
4.3%
Punctuation
ValueCountFrequency (%)
• 8
66.7%
— 2
 
16.7%
※ 2
 
16.7%
CJK
ValueCountFrequency (%)
內 2
100.0%

지역
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct23
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2358 
서울
 
106
경기
 
36
전북
 
20
전남
 
15
Other values (18)
 
92

Length

Max length6
Median length4
Mean length3.7967263
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2358
89.8%
서울 106
 
4.0%
경기 36
 
1.4%
전북 20
 
0.8%
전남 15
 
0.6%
경남 15
 
0.6%
대전 9
 
0.3%
부산 9
 
0.3%
강원 8
 
0.3%
경북 8
 
0.3%
Other values (13) 43
 
1.6%

Length

2023-12-13T06:14:54.555351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2358
89.7%
서울 107
 
4.1%
경기 37
 
1.4%
전북 20
 
0.8%
전남 15
 
0.6%
경남 15
 
0.6%
대전 9
 
0.3%
부산 9
 
0.3%
강원 8
 
0.3%
경북 8
 
0.3%
Other values (12) 42
 
1.6%

부문및대상
Text

MISSING 

Distinct1102
Distinct (%)62.3%
Missing858
Missing (%)32.7%
Memory size20.7 KiB
2023-12-13T06:14:54.858085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length500
Median length251
Mean length26.256077
Min length2

Characters and Unicode

Total characters46447
Distinct characters471
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique963 ?
Unique (%)54.4%

Sample

1st row대상
2nd row작품상
3rd row희곡상
4th row연출상
5th row남우주연상
ValueCountFrequency (%)
피아노 607
 
5.5%
성악 523
 
4.8%
중 507
 
4.6%
초 429
 
3.9%
293
 
2.7%
고등부 288
 
2.6%
바이올린 225
 
2.0%
첼로 216
 
2.0%
현악 209
 
1.9%
고 186
 
1.7%
Other values (2053) 7527
68.4%
2023-12-13T06:14:55.662492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9248
 
19.9%
, 5512
 
11.9%
악 1636
 
3.5%
부 1376
 
3.0%
고 896
 
1.9%
중 747
 
1.6%
등 746
 
1.6%
아 709
 
1.5%
피 678
 
1.5%
노 640
 
1.4%
Other values (461) 24259
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28273
60.9%
Space Separator 9248
 
19.9%
Other Punctuation 6063
 
13.1%
Decimal Number 903
 
1.9%
Close Punctuation 560
 
1.2%
Open Punctuation 549
 
1.2%
Dash Punctuation 286
 
0.6%
Control 163
 
0.4%
Other Symbol 136
 
0.3%
Math Symbol 109
 
0.2%
Other values (5) 157
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
악 1636
 
5.8%
부 1376
 
4.9%
고 896
 
3.2%
중 747
 
2.6%
등 746
 
2.6%
아 709
 
2.5%
피 678
 
2.4%
노 640
 
2.3%
학 626
 
2.2%
초 614
 
2.2%
Other values (383) 19605
69.3%
Lowercase Letter
ValueCountFrequency (%)
i 11
16.2%
c 7
10.3%
a 6
8.8%
u 6
8.8%
s 6
8.8%
n 5
7.4%
o 5
7.4%
d 4
 
5.9%
e 4
 
5.9%
l 4
 
5.9%
Other values (5) 10
14.7%
Other Punctuation
ValueCountFrequency (%)
, 5512
90.9%
: 207
 
3.4%
. 107
 
1.8%
• 86
 
1.4%
/ 67
 
1.1%
& 31
 
0.5%
： 17
 
0.3%
* 15
 
0.2%
; 8
 
0.1%
， 5
 
0.1%
Other values (4) 8
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 7
25.9%
D 4
14.8%
M 4
14.8%
A 3
11.1%
H 2
 
7.4%
P 2
 
7.4%
S 1
 
3.7%
L 1
 
3.7%
E 1
 
3.7%
V 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 208
23.0%
0 200
22.1%
5 108
12.0%
2 107
11.8%
3 76
 
8.4%
7 46
 
5.1%
6 46
 
5.1%
8 45
 
5.0%
4 44
 
4.9%
9 23
 
2.5%
Open Punctuation
ValueCountFrequency (%)
（ 490
89.3%
( 48
 
8.7%
〈 6
 
1.1%
【 2
 
0.4%
[ 2
 
0.4%
｛ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
） 498
88.9%
) 52
 
9.3%
〉 6
 
1.1%
] 2
 
0.4%
】 2
 
0.4%
Other Number
ValueCountFrequency (%)
① 19
31.7%
② 16
26.7%
③ 12
20.0%
④ 10
16.7%
⑤ 3
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 268
93.7%
〜 10
 
3.5%
— 7
 
2.4%
― 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
► 106
77.9%
□ 29
 
21.3%
® 1
 
0.7%
Space Separator
ValueCountFrequency (%)
9248
100.0%
Control
ValueCountFrequency (%)
163
100.0%
Math Symbol
ValueCountFrequency (%)
▷ 109
100.0%
Spacing Mark
ValueCountFrequency (%)
〮 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28268
60.9%
Common 18078
38.9%
Latin 95
 
0.2%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
악 1636
 
5.8%
부 1376
 
4.9%
고 896
 
3.2%
중 747
 
2.6%
등 746
 
2.6%
아 709
 
2.5%
피 678
 
2.4%
노 640
 
2.3%
학 626
 
2.2%
초 614
 
2.2%
Other values (381) 19600
69.3%
Common
ValueCountFrequency (%)
9248
51.2%
, 5512
30.5%
） 498
 
2.8%
（ 490
 
2.7%
- 268
 
1.5%
1 208
 
1.2%
: 207
 
1.1%
0 200
 
1.1%
163
 
0.9%
▷ 109
 
0.6%
Other values (41) 1175
 
6.5%
Latin
ValueCountFrequency (%)
i 11
 
11.6%
c 7
 
7.4%
C 7
 
7.4%
a 6
 
6.3%
u 6
 
6.3%
s 6
 
6.3%
n 5
 
5.3%
o 5
 
5.3%
D 4
 
4.2%
d 4
 
4.2%
Other values (16) 34
35.8%
Han
ValueCountFrequency (%)
中 3
50.0%
例 2
33.3%
悲 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28267
60.9%
ASCII 16731
36.0%
None 1040
 
2.2%
Geometric Shapes 244
 
0.5%
Punctuation 99
 
0.2%
Enclosed Alphanum 60
 
0.1%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9248
55.3%
, 5512
32.9%
- 268
 
1.6%
1 208
 
1.2%
: 207
 
1.2%
0 200
 
1.2%
163
 
1.0%
5 108
 
0.6%
2 107
 
0.6%
. 107
 
0.6%
Other values (42) 603
 
3.6%
Hangul
ValueCountFrequency (%)
악 1636
 
5.8%
부 1376
 
4.9%
고 896
 
3.2%
중 747
 
2.6%
등 746
 
2.6%
아 709
 
2.5%
피 678
 
2.4%
노 640
 
2.3%
학 626
 
2.2%
초 614
 
2.2%
Other values (380) 19599
69.3%
None
ValueCountFrequency (%)
） 498
47.9%
（ 490
47.1%
： 17
 
1.6%
〜 10
 
1.0%
〉 6
 
0.6%
〈 6
 
0.6%
， 5
 
0.5%
【 2
 
0.2%
】 2
 
0.2%
〮 1
 
0.1%
Other values (3) 3
 
0.3%
Geometric Shapes
ValueCountFrequency (%)
▷ 109
44.7%
► 106
43.4%
□ 29
 
11.9%
Punctuation
ValueCountFrequency (%)
• 86
86.9%
— 7
 
7.1%
※ 4
 
4.0%
― 1
 
1.0%
’ 1
 
1.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 19
31.7%
② 16
26.7%
③ 12
20.0%
④ 10
16.7%
⑤ 3
 
5.0%
CJK
ValueCountFrequency (%)
中 3
50.0%
例 2
33.3%
悲 1
 
16.7%

Interactions

2023-12-13T06:14:49.842400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:14:49.675473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:14:49.932847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:14:49.752700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:14:55.780392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도비고지역
연번1.0000.9520.5470.566
연도0.9521.0000.5140.659
비고0.5470.5141.000NaN
지역0.5660.659NaN1.000
2023-12-13T06:14:55.900724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역비고
지역1.000NaN
비고NaN1.000
2023-12-13T06:14:55.992363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도비고지역
연번1.0000.9910.3750.434
연도0.9911.0000.4860.510
비고0.3750.4861.0000.000
지역0.4340.5100.0001.000

Missing values

2023-12-13T06:14:50.052091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:14:50.200264image/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.
2023-12-13T06:14:50.332261image/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

연번연도시상명일자수상자/수상작주최비고장소지역부문및대상
011999제35회 백상예술대상1999-00-00오태석<NA><NA><NA><NA>대상
121999제35회 백상예술대상1999-00-00천년의 수인（오태석）<NA><NA><NA><NA>작품상
231999제35회 백상예술대상1999-00-00오태석（천년의 수인）<NA><NA><NA><NA>희곡상
341999제35회 백상예술대상1999-00-00이윤택（느낌, 극락같은）<NA><NA><NA><NA>연출상
451999제35회 백상예술대상1999-00-00신구（느낌, 극락같은）<NA><NA><NA><NA>남우주연상
561999제35회 백상예술대상1999-00-00손숙（어머니）<NA><NA><NA><NA>여우주연상
671999제35회 백상예술대상1999-00-00권형준（의형제）<NA><NA><NA><NA>남우신인상
781999제35회 백상예술대상1999-00-00박남희（김치국씨 환장하다）<NA><NA><NA><NA>여우신인상
891999제35회 백상예술대상1999-00-00김 광보（뙤약볕）<NA><NA><NA><NA>신인연출상
9101999제35회 백상예술대상1999-00-00김민수（명성황후）<NA><NA><NA><NA>인기상
연번연도시상명일자수상자/수상작주최비고장소지역부문및대상
261726182006제 2회 신인（아마추어）전통예술 경연대회2006-12-01<NA>(사)한국국악협회 대구광역시지회<NA>대구문화예술회관 대극장대구각 부문 5분 내외（풍물부문은 10분 내외）□ 기악 부문 - 가야금, 거문고, 대금, 피리, 아쟁, 해금, 단소 □ 판소리 부문（가야금병창 포함） - 춘향가, 수궁가, 흥부가, 심청가, 적벽가, 단가 □ 무용부문-궁중무용, 민속무용, 창작무용 □ 민요 부문 - 경 • 서도민요, 남도민요, 토속민요 □ 시조부문-시조, 가사 □ 민속부문 -사물놀이, 풍물, 북춤, 탈춤
261826192006제9회 종로전국국악경연대회2006-12-01<NA>종로구<NA>종로구민회관, 종로구청, 종로문화의집서울*판소리（명창부, 일반부） *민요부 * 기악부 * 시조부
261926202006제4회 전국청소년 풍물 경연대회2006-12-02<NA>화천군<NA>화천군 문화예술회관 외강원사물놀이 부문（앉은반 선반） / 농악
262026212006제19회 전국어린이판소리 왕중왕대회2006-12-03~2006-12-04<NA>고창군 KBS 전주방송총국<NA>고창 동리국악당전북판소리
262126222006제13회 전국민요경창대회2006-12-06~2006-12-07<NA>한국국악협회<NA>서울 국립국악원 우면당서울명창부〈경기좌창, 서도좌창, 경서도입창〉 일반부〈일반부 민요〉
262226232006제8회 안양대학교 주최 전국 아리음악 콩쿠르2006-12-08~2006-12-09<NA>안양대학교<NA>안걍대학교 문화관<NA>피아노, 성악, 동요부르기, 현악, 관악, 초, 중, 고등부
262326242006제2회 예명 음악 콩쿠르2006-12-09~2006-12-12<NA>Ediya Coffee<NA>영산양재홀<NA>피아노 성악, 동요부르기, 현악, 목관, 금관, 유치부, 초, 중, 고, 대학부
262426252006제5회 구리 전국민요경창 대회2006-12-13<NA>(사)한국국악협회 구리 지부<NA>경기도 구리시청 대강당경기일반부, 학생부（경서도입창, 좌창,경서도민요）
2625262620062006 국악작곡축제2006-12-15<NA>(사)한국국악협회<NA>성남아트센타 콘서트홀경기국악창작
2626262720062006년 제3회 대한민국 여성전통음악콩쿨2006-12-16~2006-12-17<NA>(사)한국여성국극예술협회<NA>아트선재센터 아트홀 (http://artsonje.org/)서울일반부（단심제 ): 관악, 현악, 무용, 민요, 연기, 판소리, 풍물 명인부（예선 및 본선）: 기악, 무용, 민요, 연기, 판소리, 풍물