Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells103
Missing cells (%)12.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory68.3 B

Variable types

Numeric2
Categorical3
Text3

Alerts

flag_nm is highly overall correlated with seq_no and 2 other fieldsHigh correlation
base_year is highly overall correlated with seq_no and 2 other fieldsHigh correlation
seq_no is highly overall correlated with base_de and 2 other fieldsHigh correlation
base_de is highly overall correlated with seq_no and 2 other fieldsHigh correlation
flag_nm is highly imbalanced (80.6%)Imbalance
base_de has 4 (4.0%) missing valuesMissing
prize_cn has 96 (96.0%) missing valuesMissing
auspc_instt_nm has 3 (3.0%) missing valuesMissing
seq_no has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:55:58.951604
Analysis finished2023-12-10 09:56:01.437362
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

seq_no
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.8
Minimum1
Maximum4025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:01.599681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q127.75
median53.5
Q378.25
95-th percentile98.05
Maximum4025
Range4024
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation681.63295
Coefficient of variation (CV)3.9908252
Kurtosis29.785326
Mean170.8
Median Absolute Deviation (MAD)25.5
Skewness5.5793796
Sum17080
Variance464623.47
MonotonicityNot monotonic
2023-12-10T18:56:01.947627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
9 1
1.0%
10 1
1.0%
11 1
1.0%
12 1
1.0%
ValueCountFrequency (%)
4025 1
1.0%
4024 1
1.0%
4023 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

flag_nm
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
공연예술
97 
시각예술
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공연예술
2nd row시각예술
3rd row공연예술
4th row공연예술
5th row공연예술

Common Values

ValueCountFrequency (%)
공연예술 97
97.0%
시각예술 3
 
3.0%

Length

2023-12-10T18:56:02.867839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:56:03.056368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연예술 97
97.0%
시각예술 3
 
3.0%

base_year
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2008
60 
2007
37 
2013
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2007
2nd row2013
3rd row2007
4th row2007
5th row2007

Common Values

ValueCountFrequency (%)
2008 60
60.0%
2007 37
37.0%
2013 3
 
3.0%

Length

2023-12-10T18:56:03.297287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:56:03.560603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2008 60
60.0%
2007 37
37.0%
2013 3
 
3.0%

award_nm
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:04.141951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length16.7
Min length8

Characters and Unicode

Total characters1670
Distinct characters201
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row강남 댄스 페스티벌 국제 댄스경연대회
2nd row대한민국 공공건축상 대통령상
3rd row제12회 전국남녀 유초등부 무용경연대회
4th row제6회 전국 '효' 음악콩쿨
5th row제9회 전국음악콩쿠르
ValueCountFrequency (%)
전국 19
 
5.8%
무용경연대회 15
 
4.5%
음악콩쿠르 10
 
3.0%
2008 9
 
2.7%
콩쿠르 9
 
2.7%
경연대회 7
 
2.1%
2007 7
 
2.1%
대한민국 6
 
1.8%
제19회 5
 
1.5%
제10회 5
 
1.5%
Other values (181) 238
72.1%
2023-12-10T18:56:05.208548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
13.8%
회 100
 
6.0%
제 79
 
4.7%
국 66
 
4.0%
대 60
 
3.6%
악 52
 
3.1%
전 52
 
3.1%
콩 49
 
2.9%
음 47
 
2.8%
경 44
 
2.6%
Other values (191) 890
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1219
73.0%
Space Separator 231
 
13.8%
Decimal Number 170
 
10.2%
Lowercase Letter 21
 
1.3%
Uppercase Letter 16
 
1.0%
Other Punctuation 5
 
0.3%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 100
 
8.2%
제 79
 
6.5%
국 66
 
5.4%
대 60
 
4.9%
악 52
 
4.3%
전 52
 
4.3%
콩 49
 
4.0%
음 47
 
3.9%
경 44
 
3.6%
무 42
 
3.4%
Other values (151) 628
51.5%
Lowercase Letter
ValueCountFrequency (%)
i 6
28.6%
e 3
14.3%
s 2
 
9.5%
o 2
 
9.5%
n 2
 
9.5%
c 1
 
4.8%
f 1
 
4.8%
v 1
 
4.8%
y 1
 
4.8%
t 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
0 43
25.3%
2 34
20.0%
1 28
16.5%
7 13
 
7.6%
8 13
 
7.6%
9 10
 
5.9%
3 9
 
5.3%
4 8
 
4.7%
5 7
 
4.1%
6 5
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
K 3
18.8%
L 2
12.5%
A 2
12.5%
U 2
12.5%
V 2
12.5%
B 1
 
6.2%
G 1
 
6.2%
S 1
 
6.2%
N 1
 
6.2%
C 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
' 2
40.0%
, 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
「 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
」 1
33.3%
Space Separator
ValueCountFrequency (%)
231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1219
73.0%
Common 414
 
24.8%
Latin 37
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 100
 
8.2%
제 79
 
6.5%
국 66
 
5.4%
대 60
 
4.9%
악 52
 
4.3%
전 52
 
4.3%
콩 49
 
4.0%
음 47
 
3.9%
경 44
 
3.6%
무 42
 
3.4%
Other values (151) 628
51.5%
Latin
ValueCountFrequency (%)
i 6
16.2%
K 3
 
8.1%
e 3
 
8.1%
L 2
 
5.4%
A 2
 
5.4%
U 2
 
5.4%
V 2
 
5.4%
s 2
 
5.4%
o 2
 
5.4%
n 2
 
5.4%
Other values (11) 11
29.7%
Common
ValueCountFrequency (%)
231
55.8%
0 43
 
10.4%
2 34
 
8.2%
1 28
 
6.8%
7 13
 
3.1%
8 13
 
3.1%
9 10
 
2.4%
3 9
 
2.2%
4 8
 
1.9%
5 7
 
1.7%
Other values (9) 18
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1219
73.0%
ASCII 449
 
26.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
51.4%
0 43
 
9.6%
2 34
 
7.6%
1 28
 
6.2%
7 13
 
2.9%
8 13
 
2.9%
9 10
 
2.2%
3 9
 
2.0%
4 8
 
1.8%
5 7
 
1.6%
Other values (28) 53
 
11.8%
Hangul
ValueCountFrequency (%)
회 100
 
8.2%
제 79
 
6.5%
국 66
 
5.4%
대 60
 
4.9%
악 52
 
4.3%
전 52
 
4.3%
콩 49
 
4.0%
음 47
 
3.9%
경 44
 
3.6%
무 42
 
3.4%
Other values (151) 628
51.5%
None
ValueCountFrequency (%)
」 1
50.0%
「 1
50.0%

event_tme_dc
Categorical

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
37 
10회
6 
4회
5 
6회
5 
19회
5 
Other values (23)
42 

Length

Max length4
Median length3
Mean length3.08
Min length2

Unique

Unique12 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row6회
3rd row12회
4th row6회
5th row9회

Common Values

ValueCountFrequency (%)
<NA> 37
37.0%
10회 6
 
6.0%
4회 5
 
5.0%
6회 5
 
5.0%
19회 5
 
5.0%
9회 4
 
4.0%
5회 4
 
4.0%
2회 4
 
4.0%
1회 3
 
3.0%
3회 3
 
3.0%
Other values (18) 24
24.0%

Length

2023-12-10T18:56:05.524009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 37
37.0%
10회 6
 
6.0%
4회 5
 
5.0%
6회 5
 
5.0%
19회 5
 
5.0%
9회 4
 
4.0%
5회 4
 
4.0%
2회 4
 
4.0%
1회 3
 
3.0%
3회 3
 
3.0%
Other values (18) 24
24.0%

base_de
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct62
Distinct (%)64.6%
Missing4
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean20076966
Minimum20071013
Maximum20080622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:05.820391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071013
5-th percentile20071014
Q120071117
median20080408
Q320080524
95-th percentile20080616
Maximum20080622
Range9609
Interquartile range (IQR)9407.5

Descriptive statistics

Standard deviation4570.182
Coefficient of variation (CV)0.00022763311
Kurtosis-1.760818
Mean20076966
Median Absolute Deviation (MAD)198.5
Skewness-0.5235442
Sum1.9273887 × 109
Variance20886564
MonotonicityNot monotonic
2023-12-10T18:56:06.122036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071014 4
 
4.0%
20071111 4
 
4.0%
20080606 4
 
4.0%
20080427 4
 
4.0%
20080517 3
 
3.0%
20071104 3
 
3.0%
20071020 3
 
3.0%
20080301 3
 
3.0%
20071202 2
 
2.0%
20071027 2
 
2.0%
Other values (52) 64
64.0%
(Missing) 4
 
4.0%
ValueCountFrequency (%)
20071013 2
2.0%
20071014 4
4.0%
20071017 1
 
1.0%
20071020 3
3.0%
20071027 2
2.0%
20071102 1
 
1.0%
20071103 1
 
1.0%
20071104 3
3.0%
20071110 1
 
1.0%
20071111 4
4.0%
ValueCountFrequency (%)
20080622 2
2.0%
20080621 2
2.0%
20080617 1
 
1.0%
20080615 1
 
1.0%
20080614 1
 
1.0%
20080611 1
 
1.0%
20080608 1
 
1.0%
20080607 2
2.0%
20080606 4
4.0%
20080605 1
 
1.0%

prize_cn
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing96
Missing (%)96.0%
Memory size932.0 B
2023-12-10T18:56:06.507367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length24.5
Mean length25.5
Min length3

Characters and Unicode

Total characters102
Distinct characters57
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row충남 서천군의 ’봄의 마을’
2nd row우수사례부문-정선 삼탄아트마인, 디자인아이디어부문-이지 투 풋
3rd row보존·관리 분야-임동조, 윤봉택, 학술·연구 분야-김정동, 문명대, 봉사·활용 분야-정의연
4th row이주희
ValueCountFrequency (%)
충남 1
 
5.6%
서천군의 1
 
5.6%
분야-정의연 1
 
5.6%
봉사·활용 1
 
5.6%
문명대 1
 
5.6%
분야-김정동 1
 
5.6%
학술·연구 1
 
5.6%
윤봉택 1
 
5.6%
분야-임동조 1
 
5.6%
보존·관리 1
 
5.6%
Other values (8) 8
44.4%
2023-12-10T18:56:07.139159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
13.7%
- 5
 
4.9%
, 5
 
4.9%
문 3
 
2.9%
분 3
 
2.9%
야 3
 
2.9%
정 3
 
2.9%
· 3
 
2.9%
이 3
 
2.9%
의 3
 
2.9%
Other values (47) 57
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73
71.6%
Space Separator 14
 
13.7%
Other Punctuation 8
 
7.8%
Dash Punctuation 5
 
4.9%
Final Punctuation 2
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 3
 
4.1%
분 3
 
4.1%
야 3
 
4.1%
정 3
 
4.1%
이 3
 
4.1%
의 3
 
4.1%
마 2
 
2.7%
동 2
 
2.7%
디 2
 
2.7%
인 2
 
2.7%
Other values (42) 47
64.4%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
· 3
37.5%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73
71.6%
Common 29
 
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 3
 
4.1%
분 3
 
4.1%
야 3
 
4.1%
정 3
 
4.1%
이 3
 
4.1%
의 3
 
4.1%
마 2
 
2.7%
동 2
 
2.7%
디 2
 
2.7%
인 2
 
2.7%
Other values (42) 47
64.4%
Common
ValueCountFrequency (%)
14
48.3%
- 5
 
17.2%
, 5
 
17.2%
· 3
 
10.3%
’ 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73
71.6%
ASCII 24
 
23.5%
None 3
 
2.9%
Punctuation 2
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
58.3%
- 5
 
20.8%
, 5
 
20.8%
Hangul
ValueCountFrequency (%)
문 3
 
4.1%
분 3
 
4.1%
야 3
 
4.1%
정 3
 
4.1%
이 3
 
4.1%
의 3
 
4.1%
마 2
 
2.7%
동 2
 
2.7%
디 2
 
2.7%
인 2
 
2.7%
Other values (42) 47
64.4%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

auspc_instt_nm
Text

MISSING 

Distinct90
Distinct (%)92.8%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T18:56:07.698748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length18
Mean length9.0721649
Min length3

Characters and Unicode

Total characters880
Distinct characters191
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)85.6%

Sample

1st row강남구청, 코엑스
2nd row국토해양부
3rd row단국대학교
4th row한국음악협회 화성시지부
5th row수원대학교
ValueCountFrequency (%)
사단법인 4
 
2.9%
한국무용협회 3
 
2.2%
사)한국무용협회 3
 
2.2%
중앙음악신문 2
 
1.5%
경향신문사 2
 
1.5%
광주광역시지회 2
 
1.5%
무용지도자협회 2
 
1.5%
수원대학교 2
 
1.5%
단국대학교 2
 
1.5%
시사음악신문 2
 
1.5%
Other values (109) 112
82.4%
2023-12-10T18:56:08.856927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 42
 
4.8%
41
 
4.7%
국 37
 
4.2%
한 29
 
3.3%
사 28
 
3.2%
교 26
 
3.0%
학 26
 
3.0%
대 26
 
3.0%
문 23
 
2.6%
협 22
 
2.5%
Other values (181) 580
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 784
89.1%
Space Separator 41
 
4.7%
Other Punctuation 15
 
1.7%
Lowercase Letter 15
 
1.7%
Close Punctuation 9
 
1.0%
Open Punctuation 8
 
0.9%
Uppercase Letter 6
 
0.7%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 42
 
5.4%
국 37
 
4.7%
한 29
 
3.7%
사 28
 
3.6%
교 26
 
3.3%
학 26
 
3.3%
대 26
 
3.3%
문 23
 
2.9%
협 22
 
2.8%
무 20
 
2.6%
Other values (159) 505
64.4%
Lowercase Letter
ValueCountFrequency (%)
i 3
20.0%
e 2
13.3%
y 2
13.3%
s 2
13.3%
f 1
 
6.7%
k 1
 
6.7%
v 1
 
6.7%
t 1
 
6.7%
r 1
 
6.7%
n 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
B 1
16.7%
S 1
16.7%
U 1
16.7%
L 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 12
80.0%
· 3
 
20.0%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 784
89.1%
Common 75
 
8.5%
Latin 21
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 42
 
5.4%
국 37
 
4.7%
한 29
 
3.7%
사 28
 
3.6%
교 26
 
3.3%
학 26
 
3.3%
대 26
 
3.3%
문 23
 
2.9%
협 22
 
2.8%
무 20
 
2.6%
Other values (159) 505
64.4%
Latin
ValueCountFrequency (%)
i 3
14.3%
e 2
 
9.5%
K 2
 
9.5%
y 2
 
9.5%
s 2
 
9.5%
f 1
 
4.8%
k 1
 
4.8%
B 1
 
4.8%
S 1
 
4.8%
v 1
 
4.8%
Other values (5) 5
23.8%
Common
ValueCountFrequency (%)
41
54.7%
, 12
 
16.0%
) 9
 
12.0%
( 8
 
10.7%
· 3
 
4.0%
9 1
 
1.3%
2 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 784
89.1%
ASCII 93
 
10.6%
None 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 42
 
5.4%
국 37
 
4.7%
한 29
 
3.7%
사 28
 
3.6%
교 26
 
3.3%
학 26
 
3.3%
대 26
 
3.3%
문 23
 
2.9%
협 22
 
2.8%
무 20
 
2.6%
Other values (159) 505
64.4%
ASCII
ValueCountFrequency (%)
41
44.1%
, 12
 
12.9%
) 9
 
9.7%
( 8
 
8.6%
i 3
 
3.2%
e 2
 
2.2%
K 2
 
2.2%
y 2
 
2.2%
s 2
 
2.2%
9 1
 
1.1%
Other values (11) 11
 
11.8%
None
ValueCountFrequency (%)
· 3
100.0%

Interactions

2023-12-10T18:56:00.384140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:55:59.954128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:56:00.571033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:56:00.215673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:56:09.219690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noflag_nmbase_yearaward_nmevent_tme_dcbase_deprize_cnauspc_instt_nm
seq_no1.0000.9631.0001.0000.000NaN1.0001.000
flag_nm0.9631.0001.0001.0000.000NaN1.0001.000
base_year1.0001.0001.0001.0000.0000.9991.0000.975
award_nm1.0001.0001.0001.0001.0001.0001.0001.000
event_tme_dc0.0000.0000.0001.0001.0000.3531.0000.887
base_deNaNNaN0.9991.0000.3531.000NaN0.928
prize_cn1.0001.0001.0001.0001.000NaN1.0001.000
auspc_instt_nm1.0001.0000.9751.0000.8870.9281.0001.000
2023-12-10T18:56:09.450996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
flag_nmbase_yearevent_tme_dc
flag_nm1.0000.9950.000
base_year0.9951.0000.000
event_tme_dc0.0000.0001.000
2023-12-10T18:56:09.644899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_nobase_deflag_nmbase_yearevent_tme_dc
seq_no1.0000.9740.8260.9950.000
base_de0.9741.0001.0000.9780.161
flag_nm0.8261.0001.0000.9950.000
base_year0.9950.9780.9951.0000.000
event_tme_dc0.0000.1610.0000.0001.000

Missing values

2023-12-10T18:56:00.822397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:56:01.076785image/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.
2023-12-10T18:56:01.299924image/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

seq_noflag_nmbase_yearaward_nmevent_tme_dcbase_deprize_cnauspc_instt_nm
01공연예술2007강남 댄스 페스티벌 국제 댄스경연대회<NA>20071014<NA>강남구청, 코엑스
14023시각예술2013대한민국 공공건축상 대통령상6회<NA>충남 서천군의 ’봄의 마을’국토해양부
23공연예술2007제12회 전국남녀 유초등부 무용경연대회12회20071013<NA>단국대학교
34공연예술2007제6회 전국 '효' 음악콩쿨6회20071013<NA>한국음악협회 화성시지부
45공연예술2007제9회 전국음악콩쿠르9회20071014<NA>수원대학교
56공연예술2007제3회 전국 남녀 초중고등학생 무용경연대회3회20071014<NA>한성디지털대학교
67공연예술2007제7회 전국선사무용경연대회7회20071014<NA>청록예술문화원
74024시각예술2013대한민국 공공디자인 대상5회<NA>우수사례부문-정선 삼탄아트마인, 디자인아이디어부문-이지 투 풋디자인문화진흥원
89공연예술2007제28회 서울무용제28회20071102<NA>사)한국무용협회
910공연예술2007KBS무용 콩쿨 본선<NA>20071017<NA>KBS
seq_noflag_nmbase_yearaward_nmevent_tme_dcbase_deprize_cnauspc_instt_nm
9091공연예술2008중앙음악콩쿠르 2/4<NA>20080606<NA>중앙음악신문
9192공연예술20082008 서울국제청소년 음악콩쿠르<NA>20080607<NA>한·러 국제협력연구회
9293공연예술2008시사음악신문 음악콩쿠르<NA>20080608<NA>시사음악신문
9394공연예술2008제19회 세계일보 음악콩쿠르19회20080617<NA>세계일보
9495공연예술2008제17회 전국무용제17회20080611<NA>무용협회
9596공연예술2008제25회 대한민국음악콩쿠르25회20080614<NA>(사)세계예능교류협회
9697공연예술20082008 경희음악콩쿠르<NA>20080621<NA>경희대학교
9798공연예술2008제10회 전국전통무용경연대회10회20080622<NA>중요무형문화재 제92호 태평무전수관
9899공연예술2008제12회 호서대학교 전국학생음악콩쿠르12회20080621<NA>호서대학교
99100공연예술2008제4회 한국체르니음악교육협회 KCA부산콩쿠르4회20080622<NA>사단법인 한국체르니협회