Overview

Dataset statistics

Number of variables9
Number of observations86
Missing cells12
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory74.5 B

Variable types

Numeric1
Categorical3
Text4
DateTime1

Dataset

Description경상남도 진주시 행사(공연, 전시, 축제 등)에 대한 데이터를 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15097734

Alerts

시도 has constant value ""Constant
시군구 is highly imbalanced (90.9%)Imbalance
전화번호 has 12 (14.0%) missing valuesMissing
번호 has unique valuesUnique
행사명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:23:00.674865
Analysis finished2023-12-11 00:23:01.569329
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4000043.5
Minimum4000001
Maximum4000086
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T09:23:01.651355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4000001
5-th percentile4000005.2
Q14000022.2
median4000043.5
Q34000064.8
95-th percentile4000081.8
Maximum4000086
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)6.2424276 × 10-6
Kurtosis-1.2
Mean4000043.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3.4400374 × 108
Variance623.5
MonotonicityStrictly increasing
2023-12-11T09:23:01.816150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4000001 1
 
1.2%
4000056 1
 
1.2%
4000064 1
 
1.2%
4000063 1
 
1.2%
4000062 1
 
1.2%
4000061 1
 
1.2%
4000060 1
 
1.2%
4000059 1
 
1.2%
4000058 1
 
1.2%
4000057 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
4000001 1
1.2%
4000002 1
1.2%
4000003 1
1.2%
4000004 1
1.2%
4000005 1
1.2%
4000006 1
1.2%
4000007 1
1.2%
4000008 1
1.2%
4000009 1
1.2%
4000010 1
1.2%
ValueCountFrequency (%)
4000086 1
1.2%
4000085 1
1.2%
4000084 1
1.2%
4000083 1
1.2%
4000082 1
1.2%
4000081 1
1.2%
4000080 1
1.2%
4000079 1
1.2%
4000078 1
1.2%
4000077 1
1.2%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
경상남도
86 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 86
100.0%

Length

2023-12-11T09:23:01.942032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:02.034165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 86
100.0%

시군구
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
진주시
85 
사천시
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
진주시 85
98.8%
사천시 1
 
1.2%

Length

2023-12-11T09:23:02.151072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:02.249694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주시 85
98.8%
사천시 1
 
1.2%

분류
Categorical

Distinct6
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
공연
39 
전시
18 
축제
18 
행사
9 
박람회
 
1

Length

Max length3
Median length2
Mean length2.0116279
Min length2

Unique

Unique2 ?
Unique (%)2.3%

Sample

1st row공연
2nd row전시
3rd row공연
4th row공연
5th row공연

Common Values

ValueCountFrequency (%)
공연 39
45.3%
전시 18
20.9%
축제 18
20.9%
행사 9
 
10.5%
박람회 1
 
1.2%
대회 1
 
1.2%

Length

2023-12-11T09:23:02.364744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:23:02.528284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연 39
45.3%
전시 18
20.9%
축제 18
20.9%
행사 9
 
10.5%
박람회 1
 
1.2%
대회 1
 
1.2%

행사기간
Text

Distinct53
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T09:23:02.801996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length25
Mean length7.755814
Min length2

Characters and Unicode

Total characters667
Distinct characters55
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)44.2%

Sample

1st row주최시
2nd row2020년/7월
3rd row주최시
4th row2021년/6월
5th row2021년/3월
ValueCountFrequency (%)
매년 11
 
11.8%
주최시 7
 
7.5%
매년/7월~8월 4
 
4.3%
매년/10월 4
 
4.3%
2020년/5월 3
 
3.2%
2021년/5월 3
 
3.2%
매년/12월 3
 
3.2%
2021년/6월 3
 
3.2%
매년/5월 3
 
3.2%
2019년/12월 2
 
2.2%
Other values (45) 50
53.8%
2023-12-11T09:23:03.348657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 81
12.1%
년 80
12.0%
2 80
12.0%
/ 73
10.9%
0 70
10.5%
1 53
7.9%
매 44
 
6.6%
~ 21
 
3.1%
8 20
 
3.0%
17
 
2.5%
Other values (45) 128
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
42.0%
Other Letter 271
40.6%
Other Punctuation 78
 
11.7%
Math Symbol 21
 
3.1%
Space Separator 17
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 81
29.9%
년 80
29.5%
매 44
16.2%
시 9
 
3.3%
주 8
 
3.0%
최 7
 
2.6%
일 6
 
2.2%
날 2
 
0.7%
요 2
 
0.7%
정 1
 
0.4%
Other values (31) 31
 
11.4%
Decimal Number
ValueCountFrequency (%)
2 80
28.6%
0 70
25.0%
1 53
18.9%
8 20
 
7.1%
5 14
 
5.0%
7 13
 
4.6%
6 10
 
3.6%
9 9
 
3.2%
4 6
 
2.1%
3 5
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 73
93.6%
: 5
 
6.4%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
59.4%
Hangul 271
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 81
29.9%
년 80
29.5%
매 44
16.2%
시 9
 
3.3%
주 8
 
3.0%
최 7
 
2.6%
일 6
 
2.2%
날 2
 
0.7%
요 2
 
0.7%
정 1
 
0.4%
Other values (31) 31
 
11.4%
Common
ValueCountFrequency (%)
2 80
20.2%
/ 73
18.4%
0 70
17.7%
1 53
13.4%
~ 21
 
5.3%
8 20
 
5.1%
17
 
4.3%
5 14
 
3.5%
7 13
 
3.3%
6 10
 
2.5%
Other values (4) 25
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
59.4%
Hangul 271
40.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 81
29.9%
년 80
29.5%
매 44
16.2%
시 9
 
3.3%
주 8
 
3.0%
최 7
 
2.6%
일 6
 
2.2%
날 2
 
0.7%
요 2
 
0.7%
정 1
 
0.4%
Other values (31) 31
 
11.4%
ASCII
ValueCountFrequency (%)
2 80
20.2%
/ 73
18.4%
0 70
17.7%
1 53
13.4%
~ 21
 
5.3%
8 20
 
5.1%
17
 
4.3%
5 14
 
3.5%
7 13
 
3.3%
6 10
 
2.5%
Other values (4) 25
 
6.3%

행사명
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T09:23:03.653268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length10.744186
Min length3

Characters and Unicode

Total characters924
Distinct characters283
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)100.0%

Sample

1st rowBNK경남은행과 함께하는 기업사랑 메세나 콘서트
2nd rowMove In 레지던스
3rd row경남프리마앙상블
4th row경상솔로이스츠콘서트
5th row국립 오페라단 라보엠
ValueCountFrequency (%)
정기연주회 5
 
3.1%
진주 4
 
2.5%
연극 3
 
1.9%
바닥분수 3
 
1.9%
방구석콘서트 2
 
1.2%
콘서트 2
 
1.2%
bnk경남은행과 1
 
0.6%
진주시 1
 
0.6%
진주미술협회전 1
 
0.6%
진주봄꽃축제 1
 
0.6%
Other values (137) 137
85.6%
2023-12-11T09:23:04.059001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
8.1%
주 41
 
4.4%
진 34
 
3.7%
이 19
 
2.1%
제 17
 
1.8%
스 15
 
1.6%
회 15
 
1.6%
전 14
 
1.5%
트 14
 
1.5%
리 13
 
1.4%
Other values (273) 667
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
89.1%
Space Separator 75
 
8.1%
Uppercase Letter 9
 
1.0%
Lowercase Letter 8
 
0.9%
Other Punctuation 4
 
0.4%
Math Symbol 2
 
0.2%
Decimal Number 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
5.0%
진 34
 
4.1%
이 19
 
2.3%
제 17
 
2.1%
스 15
 
1.8%
회 15
 
1.8%
전 14
 
1.7%
트 14
 
1.7%
리 13
 
1.6%
연 13
 
1.6%
Other values (248) 628
76.3%
Uppercase Letter
ValueCountFrequency (%)
M 2
22.2%
A 1
11.1%
C 1
11.1%
Y 1
11.1%
I 1
11.1%
B 1
11.1%
K 1
11.1%
N 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
12.5%
e 1
12.5%
n 1
12.5%
v 1
12.5%
w 1
12.5%
i 1
12.5%
t 1
12.5%
h 1
12.5%
Other Punctuation
ValueCountFrequency (%)
' 2
50.0%
: 1
25.0%
& 1
25.0%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
89.1%
Common 84
 
9.1%
Latin 17
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
5.0%
진 34
 
4.1%
이 19
 
2.3%
제 17
 
2.1%
스 15
 
1.8%
회 15
 
1.8%
전 14
 
1.7%
트 14
 
1.7%
리 13
 
1.6%
연 13
 
1.6%
Other values (248) 628
76.3%
Latin
ValueCountFrequency (%)
M 2
 
11.8%
o 1
 
5.9%
A 1
 
5.9%
C 1
 
5.9%
Y 1
 
5.9%
e 1
 
5.9%
I 1
 
5.9%
n 1
 
5.9%
v 1
 
5.9%
B 1
 
5.9%
Other values (6) 6
35.3%
Common
ValueCountFrequency (%)
75
89.3%
' 2
 
2.4%
: 1
 
1.2%
& 1
 
1.2%
< 1
 
1.2%
- 1
 
1.2%
> 1
 
1.2%
4 1
 
1.2%
2 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
89.1%
ASCII 101
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
74.3%
' 2
 
2.0%
M 2
 
2.0%
o 1
 
1.0%
A 1
 
1.0%
C 1
 
1.0%
: 1
 
1.0%
Y 1
 
1.0%
e 1
 
1.0%
I 1
 
1.0%
Other values (15) 15
 
14.9%
Hangul
ValueCountFrequency (%)
주 41
 
5.0%
진 34
 
4.1%
이 19
 
2.3%
제 17
 
2.1%
스 15
 
1.8%
회 15
 
1.8%
전 14
 
1.7%
트 14
 
1.7%
리 13
 
1.6%
연 13
 
1.6%
Other values (248) 628
76.3%

주소
Text

Distinct65
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T09:23:04.382620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length23.139535
Min length10

Characters and Unicode

Total characters1990
Distinct characters114
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)67.4%

Sample

1st row경상남도 진주시 강남로 247 문화예술회관
2nd row경상남도 진주시 강남로 216 문화예술회관
3rd row경상남도 진주시 강남로 246 문화예술회관
4th row경상남도 진주시 강남로 215 문화예술회관
5th row경상남도 진주시 강남로 215 문화예술회관 대공연장
ValueCountFrequency (%)
경상남도 83
19.1%
진주시 83
19.1%
강남로 55
12.7%
문화예술회관 52
12.0%
215 20
 
4.6%
대공연장 13
 
3.0%
남강로 6
 
1.4%
경남문화예술회관 3
 
0.7%
온라인 3
 
0.7%
중계 3
 
0.7%
Other values (96) 113
26.0%
2023-12-11T09:23:04.868371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
17.5%
남 154
 
7.7%
진 98
 
4.9%
주 95
 
4.8%
경 90
 
4.5%
시 88
 
4.4%
상 85
 
4.3%
도 83
 
4.2%
2 76
 
3.8%
로 69
 
3.5%
Other values (104) 803
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1387
69.7%
Space Separator 349
 
17.5%
Decimal Number 240
 
12.1%
Dash Punctuation 7
 
0.4%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 154
 
11.1%
진 98
 
7.1%
주 95
 
6.8%
경 90
 
6.5%
시 88
 
6.3%
상 85
 
6.1%
도 83
 
6.0%
로 69
 
5.0%
강 67
 
4.8%
문 58
 
4.2%
Other values (89) 500
36.0%
Decimal Number
ValueCountFrequency (%)
2 76
31.7%
1 40
16.7%
5 36
15.0%
3 24
 
10.0%
6 15
 
6.2%
4 15
 
6.2%
0 11
 
4.6%
7 9
 
3.8%
9 8
 
3.3%
8 6
 
2.5%
Space Separator
ValueCountFrequency (%)
349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1387
69.7%
Common 603
30.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 154
 
11.1%
진 98
 
7.1%
주 95
 
6.8%
경 90
 
6.5%
시 88
 
6.3%
상 85
 
6.1%
도 83
 
6.0%
로 69
 
5.0%
강 67
 
4.8%
문 58
 
4.2%
Other values (89) 500
36.0%
Common
ValueCountFrequency (%)
349
57.9%
2 76
 
12.6%
1 40
 
6.6%
5 36
 
6.0%
3 24
 
4.0%
6 15
 
2.5%
4 15
 
2.5%
0 11
 
1.8%
7 9
 
1.5%
9 8
 
1.3%
Other values (5) 20
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1387
69.7%
ASCII 602
30.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
58.0%
2 76
 
12.6%
1 40
 
6.6%
5 36
 
6.0%
3 24
 
4.0%
6 15
 
2.5%
4 15
 
2.5%
0 11
 
1.8%
7 9
 
1.5%
9 8
 
1.3%
Other values (4) 19
 
3.2%
Hangul
ValueCountFrequency (%)
남 154
 
11.1%
진 98
 
7.1%
주 95
 
6.8%
경 90
 
6.5%
시 88
 
6.3%
상 85
 
6.1%
도 83
 
6.0%
로 69
 
5.0%
강 67
 
4.8%
문 58
 
4.2%
Other values (89) 500
36.0%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct45
Distinct (%)60.8%
Missing12
Missing (%)14.0%
Memory size820.0 B
2023-12-11T09:23:05.145180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.743243
Min length9

Characters and Unicode

Total characters795
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

Unique39 ?
Unique (%)52.7%

Sample

1st row055-285-5612
2nd row1544-6712
3rd row1544-6711
4th row1544-6711
5th row1544-6711
ValueCountFrequency (%)
1544-6711 20
27.0%
055-749-5322 6
 
8.1%
055-749-5931 3
 
4.1%
1544-6712 2
 
2.7%
055-752-0111 2
 
2.7%
055-254-4695 2
 
2.7%
055-751-1085 1
 
1.4%
055-749-7499 1
 
1.4%
055-285-5612 1
 
1.4%
055-283-0504 1
 
1.4%
Other values (35) 35
47.3%
2023-12-11T09:23:05.515255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 150
18.9%
- 117
14.7%
1 109
13.7%
4 96
12.1%
7 85
10.7%
0 68
8.6%
6 54
 
6.8%
2 40
 
5.0%
9 34
 
4.3%
3 25
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 678
85.3%
Dash Punctuation 117
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 150
22.1%
1 109
16.1%
4 96
14.2%
7 85
12.5%
0 68
10.0%
6 54
 
8.0%
2 40
 
5.9%
9 34
 
5.0%
3 25
 
3.7%
8 17
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 795
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 150
18.9%
- 117
14.7%
1 109
13.7%
4 96
12.1%
7 85
10.7%
0 68
8.6%
6 54
 
6.8%
2 40
 
5.0%
9 34
 
4.3%
3 25
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 150
18.9%
- 117
14.7%
1 109
13.7%
4 96
12.1%
7 85
10.7%
0 68
8.6%
6 54
 
6.8%
2 40
 
5.0%
9 34
 
4.3%
3 25
 
3.1%

데이터수집일
Date

Distinct7
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2021-07-28 00:00:00
Maximum2021-11-22 00:00:00
2023-12-11T09:23:05.641206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:23:05.767264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

Interactions

2023-12-11T09:23:01.272039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:23:05.860529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시군구분류행사기간행사명주소전화번호데이터수집일
번호1.0000.1290.2980.7401.0000.8300.4490.463
시군구0.1291.0000.0001.0001.0001.0001.0000.136
분류0.2980.0001.0000.9681.0000.9920.9840.589
행사기간0.7401.0000.9681.0001.0000.6750.2720.879
행사명1.0001.0001.0001.0001.0001.0001.0001.000
주소0.8301.0000.9920.6751.0001.0000.9920.967
전화번호0.4491.0000.9840.2721.0000.9921.0000.872
데이터수집일0.4630.1360.5890.8791.0000.9670.8721.000
2023-12-11T09:23:06.014050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구분류
시군구1.0000.000
분류0.0001.000
2023-12-11T09:23:06.162640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시군구분류
번호1.0000.0940.161
시군구0.0941.0000.000
분류0.1610.0001.000

Missing values

2023-12-11T09:23:01.367303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:23:01.522637image/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

번호시도시군구분류행사기간행사명주소전화번호데이터수집일
04000001경상남도진주시공연주최시BNK경남은행과 함께하는 기업사랑 메세나 콘서트경상남도 진주시 강남로 247 문화예술회관055-285-56122021-08-04
14000002경상남도진주시전시2020년/7월Move In 레지던스경상남도 진주시 강남로 216 문화예술회관1544-67122021-08-04
24000003경상남도진주시공연주최시경남프리마앙상블경상남도 진주시 강남로 246 문화예술회관1544-67112021-08-04
34000004경상남도진주시공연2021년/6월경상솔로이스츠콘서트경상남도 진주시 강남로 215 문화예술회관<NA>2021-08-03
44000005경상남도진주시공연2021년/3월국립 오페라단 라보엠경상남도 진주시 강남로 215 문화예술회관 대공연장1544-67112021-08-03
54000006경상남도진주시공연2018년/8월국립발레단 스파르타쿠스-진주경상남도 진주시 강남로 215 문화예술회관 대공연장1544-67112021-08-04
64000007경상남도진주시축제매년/설날국립진주박물관 설맞이 문화행사경상남도 진주시 남강로 626-35 진주성055-740-06982021-08-02
74000008경상남도진주시행사매년7월~8월/월요일휴무금호지수변형테마공원 물놀이터경상남도 진주시 금산면 금산순환로587번길 10-6055-749-87522021-08-03
84000009경상남도진주시공연매년김경숙무용단 춤공연경상남도 진주시 강남로 242 문화예술회관<NA>2021-08-04
94000010경상남도진주시공연매년/4월너의곁에있을게경상남도 진주시 강남로 215 문화예술회관 대공연장1544-67112021-08-03
번호시도시군구분류행사기간행사명주소전화번호데이터수집일
764000077경상남도진주시축제매년/10월코리아 드라마 페스티벌경상남도 진주시 강남로 321 남강일대055-755-23632021-08-02
774000078경상남도진주시축제매년/12월크리스마스트리 참빛문화축제경상남도 진주시 경상 촉석로 190번길 3055-749-53222021-07-28
784000079경상남도진주시전시2021년/9월클라라 주미강&김선욱듀오리사이틀경상남도 진주시 강남로 216 문화예술회관 대공연장1544-67122021-08-03
794000080경상남도진주시공연매년/6월판소리 노인과바다경상남도 진주시 강남로 215 문화예술회관 대공연장1544-67112021-08-03
804000081경상남도진주시행사매년/7월~8월평거녹지대 바닥분수경상남도 진주시 평거동 794-1055-749-59312021-08-03
814000082경상남도진주시공연2021년/5월포르테 디 콰트로 언플러그드 콘서트:더클래식경상남도 진주시 강남로 215 문화예술회관 대공연장1544-67112021-08-03
824000083경상남도진주시전시2018년/2020년/8월한송전통목가구연구회 회원전경상남도 진주시 강남로 215 문화예술회관 1층 제2전시실1544-67112021-08-04
834000084경상남도진주시축제2019년/8월한여름의사우나파티경상남도 진주시 내동면 망경로 13 레일바이크광장055-749-53222021-08-02
844000085경상남도진주시전시2021년/7월~8월황금빛색채화가 클림트레플리카전경상남도 진주시 강남로 215 문화예술회관1544-67112021-07-28
854000086경상남도진주시행사주최시진주유등축제특별관광열차경상남도 진주시 -051-440-26062021-07-28