Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.6 B

Variable types

Numeric1
DateTime2
Text2

Dataset

Description대전예술의전당에서 기획한 공연에 한하여 유효좌석에 대한 판매좌석의 점유율로2023년 1월부터 12월까지의 기획공연 유료점유율
Author대전광역시
URLhttps://www.data.go.kr/data/15081556/fileData.do

Alerts

순번 has unique valuesUnique
공연명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:29:28.723370
Analysis finished2024-03-14 18:29:29.948594
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-15T03:29:30.180102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-03-15T03:29:30.922476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

시작일자
Date

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Minimum2023-01-05 00:00:00
Maximum2023-12-27 00:00:00
2024-03-15T03:29:31.307217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:29:31.707942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

종료일자
Date

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Minimum2023-01-05 00:00:00
Maximum2023-12-27 00:00:00
2024-03-15T03:29:32.067279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:29:32.632952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

공연명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-15T03:29:33.821435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length15.7
Min length3

Characters and Unicode

Total characters785
Distinct characters220
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

Unique50 ?
Unique (%)100.0%

Sample

1st row2023 신년음악회 [김대진X박재홍]
2nd row다닐 트리포노프 피아노 리사이틀
3rd row2022 대한민국연극제 대상작 초청 [투견]
4th row파리 오페라 발레 [지젤]
5th row아침을 여는 클래식 Ⅰ[첼리스트 홍진호]
ValueCountFrequency (%)
여는 7
 
4.2%
클래식 7
 
4.2%
아침을 6
 
3.6%
리사이틀 5
 
3.0%
문화가 4
 
2.4%
있는 4
 
2.4%
날 4
 
2.4%
특별한 3
 
1.8%
2023 3
 
1.8%
아주 3
 
1.8%
Other values (109) 122
72.6%
2024-03-15T03:29:35.503392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
15.3%
[ 24
 
3.1%
] 24
 
3.1%
스 19
 
2.4%
아 16
 
2.0%
트 14
 
1.8%
는 12
 
1.5%
리 11
 
1.4%
악 10
 
1.3%
극 10
 
1.3%
Other values (210) 525
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 547
69.7%
Space Separator 120
 
15.3%
Open Punctuation 25
 
3.2%
Close Punctuation 25
 
3.2%
Decimal Number 17
 
2.2%
Lowercase Letter 14
 
1.8%
Uppercase Letter 12
 
1.5%
Letter Number 11
 
1.4%
Connector Punctuation 8
 
1.0%
Math Symbol 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 19
 
3.5%
아 16
 
2.9%
트 14
 
2.6%
는 12
 
2.2%
리 11
 
2.0%
악 10
 
1.8%
극 10
 
1.8%
시 8
 
1.5%
대 8
 
1.5%
클 8
 
1.5%
Other values (178) 431
78.8%
Lowercase Letter
ValueCountFrequency (%)
x 3
21.4%
e 3
21.4%
v 2
14.3%
i 2
14.3%
r 2
14.3%
y 1
 
7.1%
a 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
T 3
25.0%
N 3
25.0%
L 2
16.7%
D 1
 
8.3%
M 1
 
8.3%
P 1
 
8.3%
X 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
18.2%
Ⅱ 2
18.2%
Ⅳ 2
18.2%
Ⅰ 2
18.2%
Ⅴ 1
9.1%
Ⅵ 1
9.1%
Ⅶ 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 10
58.8%
0 4
 
23.5%
3 3
 
17.6%
Open Punctuation
ValueCountFrequency (%)
[ 24
96.0%
( 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
] 24
96.0%
) 1
 
4.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Math Symbol
ValueCountFrequency (%)
× 5
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547
69.7%
Common 201
 
25.6%
Latin 37
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 19
 
3.5%
아 16
 
2.9%
트 14
 
2.6%
는 12
 
2.2%
리 11
 
2.0%
악 10
 
1.8%
극 10
 
1.8%
시 8
 
1.5%
대 8
 
1.5%
클 8
 
1.5%
Other values (178) 431
78.8%
Latin
ValueCountFrequency (%)
x 3
 
8.1%
T 3
 
8.1%
e 3
 
8.1%
N 3
 
8.1%
Ⅲ 2
 
5.4%
Ⅱ 2
 
5.4%
Ⅳ 2
 
5.4%
v 2
 
5.4%
i 2
 
5.4%
L 2
 
5.4%
Other values (11) 13
35.1%
Common
ValueCountFrequency (%)
120
59.7%
[ 24
 
11.9%
] 24
 
11.9%
2 10
 
5.0%
_ 8
 
4.0%
× 5
 
2.5%
0 4
 
2.0%
3 3
 
1.5%
? 1
 
0.5%
) 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 547
69.7%
ASCII 222
28.3%
Number Forms 11
 
1.4%
None 5
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
54.1%
[ 24
 
10.8%
] 24
 
10.8%
2 10
 
4.5%
_ 8
 
3.6%
0 4
 
1.8%
x 3
 
1.4%
T 3
 
1.4%
e 3
 
1.4%
N 3
 
1.4%
Other values (14) 20
 
9.0%
Hangul
ValueCountFrequency (%)
스 19
 
3.5%
아 16
 
2.9%
트 14
 
2.6%
는 12
 
2.2%
리 11
 
2.0%
악 10
 
1.8%
극 10
 
1.8%
시 8
 
1.5%
대 8
 
1.5%
클 8
 
1.5%
Other values (178) 431
78.8%
None
ValueCountFrequency (%)
× 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
18.2%
Ⅱ 2
18.2%
Ⅳ 2
18.2%
Ⅰ 2
18.2%
Ⅴ 1
9.1%
Ⅵ 1
9.1%
Ⅶ 1
9.1%

판매 점유율
Text

Distinct28
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-15T03:29:35.965614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.08
Min length3

Characters and Unicode

Total characters154
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

Unique21 ?
Unique (%)42.0%

Sample

1st row58%
2nd row73%
3rd row99%
4th row92%
5th row99%
ValueCountFrequency (%)
99 12
24.0%
58 4
 
8.0%
100 4
 
8.0%
98 3
 
6.0%
97 2
 
4.0%
69 2
 
4.0%
92 2
 
4.0%
52 1
 
2.0%
67 1
 
2.0%
79 1
 
2.0%
Other values (18) 18
36.0%
2024-03-15T03:29:36.719125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 50
32.5%
9 38
24.7%
0 10
 
6.5%
5 10
 
6.5%
8 9
 
5.8%
6 9
 
5.8%
7 8
 
5.2%
2 6
 
3.9%
4 6
 
3.9%
1 5
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 104
67.5%
Other Punctuation 50
32.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 38
36.5%
0 10
 
9.6%
5 10
 
9.6%
8 9
 
8.7%
6 9
 
8.7%
7 8
 
7.7%
2 6
 
5.8%
4 6
 
5.8%
1 5
 
4.8%
3 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
% 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 154
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
% 50
32.5%
9 38
24.7%
0 10
 
6.5%
5 10
 
6.5%
8 9
 
5.8%
6 9
 
5.8%
7 8
 
5.2%
2 6
 
3.9%
4 6
 
3.9%
1 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 50
32.5%
9 38
24.7%
0 10
 
6.5%
5 10
 
6.5%
8 9
 
5.8%
6 9
 
5.8%
7 8
 
5.2%
2 6
 
3.9%
4 6
 
3.9%
1 5
 
3.2%

Interactions

2024-03-15T03:29:29.160429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:29:36.907341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시작일자종료일자공연명판매 점유율
순번1.0000.9860.9861.0000.412
시작일자0.9861.0001.0001.0000.810
종료일자0.9861.0001.0001.0000.930
공연명1.0001.0001.0001.0001.000
판매 점유율0.4120.8100.9301.0001.000

Missing values

2024-03-15T03:29:29.492129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:29:29.823835image/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

순번시작일자종료일자공연명판매 점유율
012023-01-052023-01-052023 신년음악회 [김대진X박재홍]58%
122023-02-172023-02-17다닐 트리포노프 피아노 리사이틀73%
232023-02-242023-02-252022 대한민국연극제 대상작 초청 [투견]99%
342023-03-032023-03-04파리 오페라 발레 [지젤]92%
452023-03-142023-03-14아침을 여는 클래식 Ⅰ[첼리스트 홍진호]99%
562023-04-082023-04-08양인모 바이올린 리사이틀99%
672023-04-142023-04-15스프링페스티벌_무용 [Prayer]58%
782023-04-262023-04-29스프링페스티벌_연극 [갈릴레오 갈릴레이]57%
892023-04-282023-04-28김선욱x최나경x대전시립교향악단62%
9102023-04-302023-05-02스프링페스티벌_음악 [브람스 아벤트]91%
순번시작일자종료일자공연명판매 점유율
40412023-10-192023-10-19인문학 윤희정65%
41422023-10-212023-10-21대전시민교향악단 창단연주회99%
42432023-10-312023-11-05제작연극 헉슬리 [멋진 신세계]92%
43442023-11-142023-11-14아침을 여는 클래식 Ⅶ99%
44452023-11-232023-11-23인문학콘서트 손병호44%
45462023-11-252023-11-25정명훈×임윤찬×뮌헨 필하모닉 오케스트라100%
46472023-11-292023-11-29문화가 있는 날 Ⅳ [NT Live]93%
47482023-11-302023-12-02국립발레단 [호두까기인형]100%
48492023-12-192023-12-19회원음악회 [필하모닉스]75%
49502023-12-272023-12-27구운몽99%