Overview

Dataset statistics

Number of variables12
Number of observations35
Missing cells5
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory106.8 B

Variable types

Numeric4
Categorical6
Text2

Dataset

Description대전예술의전당 2003년 개관 초기부터 현재까지 공연실적을 나타내고 있는 데이타로써 년도별 공연과 관객현황까지 알 수 있는 자료
URLhttps://www.data.go.kr/data/15081744/fileData.do

Alerts

공연횟수 has constant value ""Constant
준비일수(셋업 및 철수) is highly overall correlated with 공연건수 and 3 other fieldsHigh correlation
공연일수 is highly overall correlated with 공연건수 and 4 other fieldsHigh correlation
공연장 is highly overall correlated with 총 관람객수(명) and 1 other fieldsHigh correlation
장르 is highly overall correlated with 공연일수 and 1 other fieldsHigh correlation
공연건수 is highly overall correlated with 공연일수 and 1 other fieldsHigh correlation
유료 관람객수(명) is highly overall correlated with 총 관람객수(명) and 1 other fieldsHigh correlation
총 관람객수(명) is highly overall correlated with 유료 관람객수(명) and 2 other fieldsHigh correlation
장르 is highly imbalanced (50.1%)Imbalance
공연일수 is highly imbalanced (68.4%)Imbalance
준비일수(셋업 및 철수) is highly imbalanced (68.4%)Imbalance
공연건수 has 5 (14.3%) missing valuesMissing
유료 관람객수(명) has 2 (5.7%) zerosZeros
무료 관람객수(명) has 16 (45.7%) zerosZeros

Reproduction

Analysis started2023-12-12 11:13:32.894790
Analysis finished2023-12-12 11:13:37.401147
Duration4.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공연건수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)100.0%
Missing5
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T20:13:37.499946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T20:13:37.687602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
17 1
 
2.9%
30 1
 
2.9%
29 1
 
2.9%
28 1
 
2.9%
27 1
 
2.9%
26 1
 
2.9%
25 1
 
2.9%
24 1
 
2.9%
23 1
 
2.9%
22 1
 
2.9%
Other values (20) 20
57.1%
(Missing) 5
 
14.3%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%
24 1
2.9%
23 1
2.9%
22 1
2.9%
21 1
2.9%

공연장
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
앙상블홀
21 
아트홀
14 

Length

Max length4
Median length4
Mean length3.6
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아트홀
2nd row아트홀
3rd row앙상블홀
4th row아트홀
5th row아트홀

Common Values

ValueCountFrequency (%)
앙상블홀 21
60.0%
아트홀 14
40.0%

Length

2023-12-12T20:13:37.876151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:38.016602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
앙상블홀 21
60.0%
아트홀 14
40.0%
Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T20:13:38.325953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length25
Mean length31.6
Min length8

Characters and Unicode

Total characters1106
Distinct characters184
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)88.6%

Sample

1st row뮤지컬 [맘마미아]
2nd row뮤지컬 [맘마미아]
3rd row음악극 [페드르]
4th row뮤지컬 [맘마미아]
5th row뮤지컬 [맘마미아]
ValueCountFrequency (%)
정기연주회 7
 
5.3%
리사이틀 5
 
3.8%
뮤지컬 4
 
3.1%
맘마미아 4
 
3.1%
3
 
2.3%
방방곡곡 2
 
1.5%
문화공감 2
 
1.5%
연극 2
 
1.5%
한여름밤의 2
 
1.5%
피아니스트 2
 
1.5%
Other values (93) 98
74.8%
2023-12-12T20:13:38.877580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
52.1%
21
 
1.9%
[ 15
 
1.4%
15
 
1.4%
15
 
1.4%
] 15
 
1.4%
13
 
1.2%
12
 
1.1%
11
 
1.0%
2 11
 
1.0%
Other values (174) 402
36.3%

Most occurring categories

ValueCountFrequency (%)
Space Separator 576
52.1%
Other Letter 440
39.8%
Decimal Number 26
 
2.4%
Open Punctuation 18
 
1.6%
Close Punctuation 18
 
1.6%
Uppercase Letter 11
 
1.0%
Lowercase Letter 11
 
1.0%
Other Punctuation 3
 
0.3%
Math Symbol 2
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
4.8%
15
 
3.4%
15
 
3.4%
13
 
3.0%
12
 
2.7%
11
 
2.5%
11
 
2.5%
11
 
2.5%
10
 
2.3%
10
 
2.3%
Other values (143) 311
70.7%
Decimal Number
ValueCountFrequency (%)
2 11
42.3%
1 4
 
15.4%
0 3
 
11.5%
5 2
 
7.7%
3 2
 
7.7%
4 2
 
7.7%
8 1
 
3.8%
6 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
O 3
27.3%
B 3
27.3%
N 1
 
9.1%
D 1
 
9.1%
U 1
 
9.1%
C 1
 
9.1%
M 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
18.2%
l 2
18.2%
r 2
18.2%
o 2
18.2%
a 1
9.1%
u 1
9.1%
f 1
9.1%
Open Punctuation
ValueCountFrequency (%)
[ 15
83.3%
( 3
 
16.7%
Close Punctuation
ValueCountFrequency (%)
] 15
83.3%
) 3
 
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
: 1
33.3%
Space Separator
ValueCountFrequency (%)
576
100.0%
Math Symbol
ValueCountFrequency (%)
× 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 643
58.1%
Hangul 440
39.8%
Latin 23
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
4.8%
15
 
3.4%
15
 
3.4%
13
 
3.0%
12
 
2.7%
11
 
2.5%
11
 
2.5%
11
 
2.5%
10
 
2.3%
10
 
2.3%
Other values (143) 311
70.7%
Common
ValueCountFrequency (%)
576
89.6%
[ 15
 
2.3%
] 15
 
2.3%
2 11
 
1.7%
1 4
 
0.6%
0 3
 
0.5%
) 3
 
0.5%
( 3
 
0.5%
5 2
 
0.3%
3 2
 
0.3%
Other values (6) 9
 
1.4%
Latin
ValueCountFrequency (%)
O 3
13.0%
B 3
13.0%
s 2
 
8.7%
l 2
 
8.7%
r 2
 
8.7%
o 2
 
8.7%
a 1
 
4.3%
1
 
4.3%
N 1
 
4.3%
D 1
 
4.3%
Other values (5) 5
21.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 663
59.9%
Hangul 440
39.8%
None 2
 
0.2%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
86.9%
[ 15
 
2.3%
] 15
 
2.3%
2 11
 
1.7%
1 4
 
0.6%
0 3
 
0.5%
O 3
 
0.5%
B 3
 
0.5%
) 3
 
0.5%
( 3
 
0.5%
Other values (19) 27
 
4.1%
Hangul
ValueCountFrequency (%)
21
 
4.8%
15
 
3.4%
15
 
3.4%
13
 
3.0%
12
 
2.7%
11
 
2.5%
11
 
2.5%
11
 
2.5%
10
 
2.3%
10
 
2.3%
Other values (143) 311
70.7%
None
ValueCountFrequency (%)
× 2
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

기간
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T20:13:39.128975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters560
Distinct characters21
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)77.1%

Sample

1st row07월 01일(토) 14:00
2nd row07월 01일(토) 19:00
3rd row07월 01일(토) 17:00
4th row07월 02일(일) 14:00
5th row07월 02일(일) 19:00
ValueCountFrequency (%)
07월 35
33.3%
17:00 12
 
11.4%
19:30 12
 
11.4%
19:00 5
 
4.8%
01일(토 3
 
2.9%
02일(일 3
 
2.9%
30일(일 2
 
1.9%
14:00 2
 
1.9%
21일(금 2
 
1.9%
29일(토 2
 
1.9%
Other values (21) 27
25.7%
2023-12-12T20:13:39.625739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 111
19.8%
70
12.5%
1 49
8.8%
7 48
8.6%
44
 
7.9%
: 35
 
6.2%
35
 
6.2%
( 35
 
6.2%
) 35
 
6.2%
9 21
 
3.8%
Other values (11) 77
13.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
50.0%
Other Letter 105
 
18.8%
Space Separator 70
 
12.5%
Other Punctuation 35
 
6.2%
Open Punctuation 35
 
6.2%
Close Punctuation 35
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
39.6%
1 49
17.5%
7 48
17.1%
9 21
 
7.5%
2 18
 
6.4%
3 17
 
6.1%
8 5
 
1.8%
4 4
 
1.4%
5 4
 
1.4%
6 3
 
1.1%
Other Letter
ValueCountFrequency (%)
44
41.9%
35
33.3%
10
 
9.5%
5
 
4.8%
5
 
4.8%
4
 
3.8%
2
 
1.9%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Punctuation
ValueCountFrequency (%)
: 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 455
81.2%
Hangul 105
 
18.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 111
24.4%
70
15.4%
1 49
10.8%
7 48
10.5%
: 35
 
7.7%
( 35
 
7.7%
) 35
 
7.7%
9 21
 
4.6%
2 18
 
4.0%
3 17
 
3.7%
Other values (4) 16
 
3.5%
Hangul
ValueCountFrequency (%)
44
41.9%
35
33.3%
10
 
9.5%
5
 
4.8%
5
 
4.8%
4
 
3.8%
2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455
81.2%
Hangul 105
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 111
24.4%
70
15.4%
1 49
10.8%
7 48
10.5%
: 35
 
7.7%
( 35
 
7.7%
) 35
 
7.7%
9 21
 
4.6%
2 18
 
4.0%
3 17
 
3.7%
Other values (4) 16
 
3.5%
Hangul
ValueCountFrequency (%)
44
41.9%
35
33.3%
10
 
9.5%
5
 
4.8%
5
 
4.8%
4
 
3.8%
2
 
1.9%

공연횟수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 35
100.0%

Length

2023-12-12T20:13:39.841097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:40.031206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
100.0%

유료 관람객수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.31429
Minimum0
Maximum1459
Zeros2
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T20:13:40.198317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q142.5
median200
Q3310.5
95-th percentile1225.4
Maximum1459
Range1459
Interquartile range (IQR)268

Descriptive statistics

Standard deviation406.89707
Coefficient of variation (CV)1.2585187
Kurtosis1.5748838
Mean323.31429
Median Absolute Deviation (MAD)149
Skewness1.6220567
Sum11316
Variance165565.22
MonotonicityNot monotonic
2023-12-12T20:13:40.446323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
34 2
 
5.7%
61 2
 
5.7%
0 2
 
5.7%
1057 1
 
2.9%
27 1
 
2.9%
241 1
 
2.9%
213 1
 
2.9%
1 1
 
2.9%
291 1
 
2.9%
21 1
 
2.9%
Other values (22) 22
62.9%
ValueCountFrequency (%)
0 2
5.7%
1 1
2.9%
12 1
2.9%
21 1
2.9%
23 1
2.9%
27 1
2.9%
34 2
5.7%
51 1
2.9%
58 1
2.9%
61 2
5.7%
ValueCountFrequency (%)
1459 1
2.9%
1308 1
2.9%
1190 1
2.9%
1057 1
2.9%
958 1
2.9%
811 1
2.9%
653 1
2.9%
374 1
2.9%
330 1
2.9%
291 1
2.9%

무료 관람객수(명)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.45714
Minimum0
Maximum848
Zeros16
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T20:13:40.644862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q388
95-th percentile563.2
Maximum848
Range848
Interquartile range (IQR)88

Descriptive statistics

Standard deviation222.01303
Coefficient of variation (CV)1.8742055
Kurtosis4.3297856
Mean118.45714
Median Absolute Deviation (MAD)10
Skewness2.2123464
Sum4146
Variance49289.785
MonotonicityNot monotonic
2023-12-12T20:13:40.828551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 16
45.7%
15 1
 
2.9%
395 1
 
2.9%
410 1
 
2.9%
46 1
 
2.9%
80 1
 
2.9%
94 1
 
2.9%
38 1
 
2.9%
790 1
 
2.9%
423 1
 
2.9%
Other values (10) 10
28.6%
ValueCountFrequency (%)
0 16
45.7%
8 1
 
2.9%
10 1
 
2.9%
15 1
 
2.9%
16 1
 
2.9%
19 1
 
2.9%
38 1
 
2.9%
46 1
 
2.9%
54 1
 
2.9%
80 1
 
2.9%
ValueCountFrequency (%)
848 1
2.9%
790 1
2.9%
466 1
2.9%
423 1
2.9%
410 1
2.9%
395 1
2.9%
254 1
2.9%
98 1
2.9%
94 1
2.9%
82 1
2.9%

총 관람객수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441.77143
Minimum34
Maximum1459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T20:13:41.005956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile60.1
Q1123
median322
Q3602
95-th percentile1228.4
Maximum1459
Range1425
Interquartile range (IQR)479

Descriptive statistics

Standard deviation399.53709
Coefficient of variation (CV)0.90439776
Kurtosis0.27777962
Mean441.77143
Median Absolute Deviation (MAD)207
Skewness1.1398109
Sum15462
Variance159629.89
MonotonicityNot monotonic
2023-12-12T20:13:41.216311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
61 2
 
5.7%
1072 1
 
2.9%
115 1
 
2.9%
241 1
 
2.9%
221 1
 
2.9%
424 1
 
2.9%
291 1
 
2.9%
790 1
 
2.9%
65 1
 
2.9%
131 1
 
2.9%
Other values (24) 24
68.6%
ValueCountFrequency (%)
34 1
2.9%
58 1
2.9%
61 2
5.7%
65 1
2.9%
69 1
2.9%
76 1
2.9%
112 1
2.9%
115 1
2.9%
131 1
2.9%
185 1
2.9%
ValueCountFrequency (%)
1459 1
2.9%
1318 1
2.9%
1190 1
2.9%
1072 1
2.9%
1048 1
2.9%
977 1
2.9%
827 1
2.9%
790 1
2.9%
707 1
2.9%
497 1
2.9%

공연구분
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
대관
26 
기획

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대관
2nd row대관
3rd row기획
4th row대관
5th row대관

Common Values

ValueCountFrequency (%)
대관 26
74.3%
기획 9
 
25.7%

Length

2023-12-12T20:13:41.441050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:41.617735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대관 26
74.3%
기획 9
 
25.7%

장르
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
음악
28 
뮤지컬
연극
 
2
무용
 
1

Length

Max length3
Median length2
Mean length2.1142857
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row뮤지컬
2nd row뮤지컬
3rd row음악
4th row뮤지컬
5th row뮤지컬

Common Values

ValueCountFrequency (%)
음악 28
80.0%
뮤지컬 4
 
11.4%
연극 2
 
5.7%
무용 1
 
2.9%

Length

2023-12-12T20:13:41.825329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:42.007071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음악 28
80.0%
뮤지컬 4
 
11.4%
연극 2
 
5.7%
무용 1
 
2.9%

공연일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
33 
0
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 33
94.3%
0 2
 
5.7%

Length

2023-12-12T20:13:42.215198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:42.404859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
94.3%
0 2
 
5.7%

준비일수(셋업 및 철수)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
32 
1
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.7428571
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
91.4%
1 2
 
5.7%
2 1
 
2.9%

Length

2023-12-12T20:13:42.608579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:42.807082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
91.4%
1 2
 
5.7%
2 1
 
2.9%

Interactions

2023-12-12T20:13:36.129904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:33.745929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:34.888991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:35.549719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:36.310535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:33.895576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:35.052891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:35.699965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:36.527176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:34.567511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:35.222078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:35.858153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:36.702468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:34.717068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:35.366109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:35.973604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:13:42.948285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연건수공연장공연명기간유료 관람객수(명)무료 관람객수(명)총 관람객수(명)공연구분장르공연일수준비일수(셋업 및 철수)
공연건수1.0000.0001.0000.9480.0000.0000.4460.0000.193NaN1.000
공연장0.0001.0001.0000.0000.4580.5140.9420.3490.5860.077NaN
공연명1.0001.0001.0000.8580.0001.0000.0001.0001.0000.0001.000
기간0.9480.0000.8581.0000.9580.2520.8880.7830.0001.0001.000
유료 관람객수(명)0.0000.4580.0000.9581.0000.0000.9090.1960.6391.0000.000
무료 관람객수(명)0.0000.5141.0000.2520.0001.0000.6460.0000.0000.0000.000
총 관람객수(명)0.4460.9420.0000.8880.9090.6461.0000.0000.5491.0000.000
공연구분0.0000.3491.0000.7830.1960.0000.0001.0000.5490.0000.000
장르0.1930.5861.0000.0000.6390.0000.5490.5491.0000.8501.000
공연일수NaN0.0770.0001.0001.0000.0001.0000.0000.8501.000NaN
준비일수(셋업 및 철수)1.000NaN1.0001.0000.0000.0000.0000.0001.000NaN1.000
2023-12-12T20:13:43.308090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
준비일수(셋업 및 철수)공연일수공연장장르공연구분
준비일수(셋업 및 철수)1.0001.0001.0001.0000.000
공연일수1.0001.0000.0400.6270.000
공연장1.0000.0401.0000.3880.225
장르1.0000.6270.3881.0000.361
공연구분0.0000.0000.2250.3611.000
2023-12-12T20:13:43.518662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연건수유료 관람객수(명)무료 관람객수(명)총 관람객수(명)공연장공연구분장르공연일수준비일수(셋업 및 철수)
공연건수1.000-0.392-0.002-0.3940.0000.0000.0001.0001.000
유료 관람객수(명)-0.3921.000-0.4050.5370.4010.1530.4230.8880.000
무료 관람객수(명)-0.002-0.4051.0000.3930.3430.0000.0000.0000.000
총 관람객수(명)-0.3940.5370.3931.0000.6910.0000.3120.8700.000
공연장0.0000.4010.3430.6911.0000.2250.3880.0401.000
공연구분0.0000.1530.0000.0000.2251.0000.3610.0000.000
장르0.0000.4230.0000.3120.3880.3611.0000.6271.000
공연일수1.0000.8880.0000.8700.0400.0000.6271.0001.000
준비일수(셋업 및 철수)1.0000.0000.0000.0001.0000.0001.0001.0001.000

Missing values

2023-12-12T20:13:36.991451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:13:37.291533image/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

공연건수공연장공연명기간공연횟수유료 관람객수(명)무료 관람객수(명)총 관람객수(명)공연구분장르공연일수준비일수(셋업 및 철수)
0<NA>아트홀뮤지컬 [맘마미아]07월 01일(토) 14:0011057151072대관뮤지컬1<NA>
1<NA>아트홀뮤지컬 [맘마미아]07월 01일(토) 19:00195819977대관뮤지컬0<NA>
21앙상블홀음악극 [페드르]07월 01일(토) 17:0011980198기획음악1<NA>
3<NA>아트홀뮤지컬 [맘마미아]07월 02일(일) 14:00181116827대관뮤지컬1<NA>
4<NA>아트홀뮤지컬 [맘마미아]07월 02일(일) 19:00165354707대관뮤지컬0<NA>
52앙상블홀제5회 국제문화예술교류협회 한국 정기연주회07월 02일(일) 17:0013740374대관음악1<NA>
63아트홀(합창단) 제162회 정기연주회 [Colorful 아시아&아프리카]07월 04일(화) 19:30112466478대관음악1<NA>
74앙상블홀피아니스트 송재경 리사이틀07월 04일(화) 19:30161061대관음악1<NA>
85아트홀(교향악단) 마스터즈 시리즈 8 [말러 교향곡 제4번]07월 06일(목) 19:3012008481048대관음악1<NA>
96앙상블홀방방곡곡 문화공감 연극 [한여름밤의 꿈]07월 07일(금) 19:30124082322기획연극12
공연건수공연장공연명기간공연횟수유료 관람객수(명)무료 관람객수(명)총 관람객수(명)공연구분장르공연일수준비일수(셋업 및 철수)
2521앙상블홀성재창 트럼펫 독주회07월 21일(금) 19:301273865대관음악1<NA>
2622앙상블홀제2회 더 예인 앙상블 정기연주회07월 22일(토) 17:0012194115대관음악1<NA>
2723앙상블홀Brass BOB 제4회 정기연주회07월 23일(일) 17:0015180131대관음악1<NA>
2824앙상블홀첼리스트 김형우 리사이틀07월 25일(화) 19:301234669대관음악1<NA>
2925앙상블홀DUO:ON 제2회 정기연주회07월 26일(수) 19:30134034대관음악1<NA>
3026앙상블홀문화가 있는 날 2 잠들기 전 심야극장 Ⅱ [김태형×황수미×문지영]07월 28일(금) 22:0012690269기획음악1<NA>
3127아트홀2023 온드림 스테이지07월 29일(토) 18:0010410410대관음악1<NA>
3228앙상블홀썸머뉴아티스트콘서트 [바이올리니스트 천현지]07월 29일(토) 17:0011120112기획음악1<NA>
3329앙상블홀썸머뉴아티스트콘서트 [피아니스트 김준희]07월 30일(일) 17:00161061기획음악1<NA>
3430아트홀피아노하모니아 창단 20주년 기념음악회07월 30일(일) 17:0011850185대관음악1<NA>