Overview

Dataset statistics

Number of variables15
Number of observations33
Missing cells74
Missing cells (%)14.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory128.0 B

Variable types

Text7
Categorical3
DateTime1
Numeric4

Dataset

Description충청북도 내에 있는 문화공연장 정보를 제공합니다. (컬럼명: 시설명(공연장명),시설구분,소재지도로명주소,개관일자,면적(제곱미터),무대면적(제곱미터),객석수,구동무대기계기구수,운영기관전화번호,운영기관명,편의시설정보,공연장소개,교통안내정보,관리기관전화번호,관리기관명)
Author충청북도
URLhttps://www.data.go.kr/data/3075680/fileData.do

Alerts

관리기관명 is highly overall correlated with 관리기관전화번호High correlation
관리기관전화번호 is highly overall correlated with 무대면적(제곱미터) and 1 other fieldsHigh correlation
면적(제곱미터) is highly overall correlated with 무대면적(제곱미터) and 3 other fieldsHigh correlation
무대면적(제곱미터) is highly overall correlated with 면적(제곱미터) and 4 other fieldsHigh correlation
객석수 is highly overall correlated with 면적(제곱미터) and 3 other fieldsHigh correlation
구동무대기계기구수 is highly overall correlated with 면적(제곱미터) and 2 other fieldsHigh correlation
시설구분 is highly overall correlated with 면적(제곱미터) and 2 other fieldsHigh correlation
무대면적(제곱미터) has 10 (30.3%) missing valuesMissing
구동무대기계기구수 has 11 (33.3%) missing valuesMissing
운영기관전화번호 has 4 (12.1%) missing valuesMissing
편의시설정보 has 18 (54.5%) missing valuesMissing
공연장소개 has 9 (27.3%) missing valuesMissing
교통안내정보 has 22 (66.7%) missing valuesMissing
시설명(공연장명) has unique valuesUnique
면적(제곱미터) has unique valuesUnique
객석수 has unique valuesUnique
구동무대기계기구수 has 1 (3.0%) zerosZeros

Reproduction

Analysis started2023-12-12 11:44:34.371179
Analysis finished2023-12-12 11:44:40.090064
Duration5.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:44:40.415290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.6666667
Min length3

Characters and Unicode

Total characters253
Distinct characters105
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row청주예술의전당 대공연장
2nd row청주예술의전당 소공연장
3rd row청주아트홀
4th row학생교육문화원공연장
5th row예술나눔터
ValueCountFrequency (%)
청주예술의전당 2
 
5.0%
소극장 2
 
5.0%
난계국악기체험전수관 1
 
2.5%
살로메(salome 1
 
2.5%
제천시문화회관 1
 
2.5%
제천시민회관 1
 
2.5%
보은문화예술회관 1
 
2.5%
옥천문화예술회관 1
 
2.5%
우리소리관 1
 
2.5%
대공연장(영동복합문화예술회관 1
 
2.5%
Other values (28) 28
70.0%
2023-12-12T20:44:41.082907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
5.5%
13
 
5.1%
12
 
4.7%
11
 
4.3%
11
 
4.3%
10
 
4.0%
9
 
3.6%
8
 
3.2%
6
 
2.4%
6
 
2.4%
Other values (95) 153
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
89.3%
Uppercase Letter 12
 
4.7%
Space Separator 9
 
3.6%
Open Punctuation 3
 
1.2%
Close Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
6.2%
13
 
5.8%
12
 
5.3%
11
 
4.9%
11
 
4.9%
10
 
4.4%
8
 
3.5%
6
 
2.7%
6
 
2.7%
6
 
2.7%
Other values (83) 129
57.1%
Uppercase Letter
ValueCountFrequency (%)
J 3
25.0%
I 2
16.7%
E 1
 
8.3%
M 1
 
8.3%
L 1
 
8.3%
O 1
 
8.3%
A 1
 
8.3%
K 1
 
8.3%
S 1
 
8.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
89.3%
Common 15
 
5.9%
Latin 12
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
6.2%
13
 
5.8%
12
 
5.3%
11
 
4.9%
11
 
4.9%
10
 
4.4%
8
 
3.5%
6
 
2.7%
6
 
2.7%
6
 
2.7%
Other values (83) 129
57.1%
Latin
ValueCountFrequency (%)
J 3
25.0%
I 2
16.7%
E 1
 
8.3%
M 1
 
8.3%
L 1
 
8.3%
O 1
 
8.3%
A 1
 
8.3%
K 1
 
8.3%
S 1
 
8.3%
Common
ValueCountFrequency (%)
9
60.0%
( 3
 
20.0%
) 3
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
89.3%
ASCII 27
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
6.2%
13
 
5.8%
12
 
5.3%
11
 
4.9%
11
 
4.9%
10
 
4.4%
8
 
3.5%
6
 
2.7%
6
 
2.7%
6
 
2.7%
Other values (83) 129
57.1%
ASCII
ValueCountFrequency (%)
9
33.3%
J 3
 
11.1%
( 3
 
11.1%
) 3
 
11.1%
I 2
 
7.4%
E 1
 
3.7%
M 1
 
3.7%
L 1
 
3.7%
O 1
 
3.7%
A 1
 
3.7%
Other values (2) 2
 
7.4%

시설구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
공공
21 
민간
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공
2nd row공공
3rd row공공
4th row공공
5th row민간

Common Values

ValueCountFrequency (%)
공공 21
63.6%
민간 12
36.4%

Length

2023-12-12T20:44:41.344457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:44:41.546920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 21
63.6%
민간 12
36.4%
Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:44:42.088280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length23.878788
Min length16

Characters and Unicode

Total characters788
Distinct characters104
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

Unique31 ?
Unique (%)93.9%

Sample

1st row충청북도 청주시 서원구 흥덕로 69 (사직동)
2nd row충청북도 청주시 서원구 흥덕로 69 (사직동)
3rd row충청북도 청주시 서원구 예체로 118 (사직동)
4th row충청북도 청주시 청원구 공항로287번길 56 (주중동)
5th row충청북도 청주시 상당구 중앙로 30 3층호 (북문로2가)
ValueCountFrequency (%)
충청북도 33
 
18.6%
청주시 13
 
7.3%
충주시 6
 
3.4%
상당구 6
 
3.4%
서원구 4
 
2.3%
영동군 4
 
2.3%
청원구 3
 
1.7%
32 3
 
1.7%
2층 3
 
1.7%
사직동 3
 
1.7%
Other values (93) 99
55.9%
2023-12-12T20:44:42.965204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
18.7%
50
 
6.3%
40
 
5.1%
35
 
4.4%
33
 
4.2%
32
 
4.1%
21
 
2.7%
21
 
2.7%
2 21
 
2.7%
21
 
2.7%
Other values (94) 367
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
63.1%
Space Separator 147
 
18.7%
Decimal Number 104
 
13.2%
Close Punctuation 16
 
2.0%
Open Punctuation 16
 
2.0%
Other Punctuation 4
 
0.5%
Dash Punctuation 3
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
10.1%
40
 
8.0%
35
 
7.0%
33
 
6.6%
32
 
6.4%
21
 
4.2%
21
 
4.2%
21
 
4.2%
14
 
2.8%
12
 
2.4%
Other values (78) 218
43.9%
Decimal Number
ValueCountFrequency (%)
2 21
20.2%
1 19
18.3%
3 15
14.4%
6 13
12.5%
0 8
 
7.7%
5 8
 
7.7%
8 7
 
6.7%
9 6
 
5.8%
4 4
 
3.8%
7 3
 
2.9%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
63.1%
Common 290
36.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
10.1%
40
 
8.0%
35
 
7.0%
33
 
6.6%
32
 
6.4%
21
 
4.2%
21
 
4.2%
21
 
4.2%
14
 
2.8%
12
 
2.4%
Other values (78) 218
43.9%
Common
ValueCountFrequency (%)
147
50.7%
2 21
 
7.2%
1 19
 
6.6%
) 16
 
5.5%
( 16
 
5.5%
3 15
 
5.2%
6 13
 
4.5%
0 8
 
2.8%
5 8
 
2.8%
8 7
 
2.4%
Other values (5) 20
 
6.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
63.1%
ASCII 291
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
50.5%
2 21
 
7.2%
1 19
 
6.5%
) 16
 
5.5%
( 16
 
5.5%
3 15
 
5.2%
6 13
 
4.5%
0 8
 
2.7%
5 8
 
2.7%
8 7
 
2.4%
Other values (6) 21
 
7.2%
Hangul
ValueCountFrequency (%)
50
 
10.1%
40
 
8.0%
35
 
7.0%
33
 
6.6%
32
 
6.4%
21
 
4.2%
21
 
4.2%
21
 
4.2%
14
 
2.8%
12
 
2.4%
Other values (78) 218
43.9%
Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1979-05-01 00:00:00
Maximum2023-07-10 00:00:00
2023-12-12T20:44:43.247765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:43.604062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1524.9697
Minimum99
Maximum6156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:44:43.893632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile116.6
Q1225
median766
Q32439
95-th percentile5432
Maximum6156
Range6057
Interquartile range (IQR)2214

Descriptive statistics

Standard deviation1763.917
Coefficient of variation (CV)1.1566899
Kurtosis0.95140241
Mean1524.9697
Median Absolute Deviation (MAD)640
Skewness1.3809731
Sum50324
Variance3111403.2
MonotonicityNot monotonic
2023-12-12T20:44:44.169089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
6156 1
 
3.0%
165 1
 
3.0%
4160 1
 
3.0%
116 1
 
3.0%
766 1
 
3.0%
2990 1
 
3.0%
667 1
 
3.0%
927 1
 
3.0%
99 1
 
3.0%
1506 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
99 1
3.0%
116 1
3.0%
117 1
3.0%
126 1
3.0%
149 1
3.0%
156 1
3.0%
165 1
3.0%
175 1
3.0%
225 1
3.0%
271 1
3.0%
ValueCountFrequency (%)
6156 1
3.0%
5753 1
3.0%
5218 1
3.0%
4160 1
3.0%
3572 1
3.0%
3072 1
3.0%
3001 1
3.0%
2990 1
3.0%
2439 1
3.0%
1727 1
3.0%

무대면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)100.0%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean325.13043
Minimum20
Maximum1066
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:44:44.438928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile41
Q193.5
median260
Q3391.5
95-th percentile988.2
Maximum1066
Range1046
Interquartile range (IQR)298

Descriptive statistics

Standard deviation311.04973
Coefficient of variation (CV)0.95669215
Kurtosis0.9181168
Mean325.13043
Median Absolute Deviation (MAD)160
Skewness1.3518241
Sum7478
Variance96751.937
MonotonicityNot monotonic
2023-12-12T20:44:44.731823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
269 1
 
3.0%
154 1
 
3.0%
648 1
 
3.0%
134 1
 
3.0%
363 1
 
3.0%
276 1
 
3.0%
927 1
 
3.0%
260 1
 
3.0%
529 1
 
3.0%
360 1
 
3.0%
Other values (13) 13
39.4%
(Missing) 10
30.3%
ValueCountFrequency (%)
20 1
3.0%
40 1
3.0%
50 1
3.0%
56 1
3.0%
79 1
3.0%
84 1
3.0%
103 1
3.0%
134 1
3.0%
152 1
3.0%
154 1
3.0%
ValueCountFrequency (%)
1066 1
3.0%
995 1
3.0%
927 1
3.0%
648 1
3.0%
529 1
3.0%
420 1
3.0%
363 1
3.0%
360 1
3.0%
283 1
3.0%
276 1
3.0%

객석수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.90909
Minimum50
Maximum1493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:44:44.967837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile63
Q1100
median300
Q3498
95-th percentile982.2
Maximum1493
Range1443
Interquartile range (IQR)398

Descriptive statistics

Standard deviation338.77088
Coefficient of variation (CV)0.89406903
Kurtosis2.3687809
Mean378.90909
Median Absolute Deviation (MAD)200
Skewness1.4182608
Sum12504
Variance114765.71
MonotonicityNot monotonic
2023-12-12T20:44:45.731463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1493 1
 
3.0%
136 1
 
3.0%
660 1
 
3.0%
75 1
 
3.0%
621 1
 
3.0%
478 1
 
3.0%
300 1
 
3.0%
441 1
 
3.0%
70 1
 
3.0%
296 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
50 1
3.0%
60 1
3.0%
65 1
3.0%
70 1
3.0%
75 1
3.0%
80 1
3.0%
96 1
3.0%
98 1
3.0%
100 1
3.0%
112 1
3.0%
ValueCountFrequency (%)
1493 1
3.0%
1056 1
3.0%
933 1
3.0%
725 1
3.0%
710 1
3.0%
660 1
3.0%
621 1
3.0%
600 1
3.0%
498 1
3.0%
492 1
3.0%

구동무대기계기구수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct20
Distinct (%)90.9%
Missing11
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean23
Minimum0
Maximum49
Zeros1
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:44:46.000961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.05
Q114.5
median24.5
Q330
95-th percentile42.8
Maximum49
Range49
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation13.370187
Coefficient of variation (CV)0.58131249
Kurtosis-0.62720701
Mean23
Median Absolute Deviation (MAD)9
Skewness0.0098621918
Sum506
Variance178.7619
MonotonicityNot monotonic
2023-12-12T20:44:46.245475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
28 2
 
6.1%
30 2
 
6.1%
20 1
 
3.0%
16 1
 
3.0%
43 1
 
3.0%
38 1
 
3.0%
23 1
 
3.0%
34 1
 
3.0%
19 1
 
3.0%
39 1
 
3.0%
Other values (10) 10
30.3%
(Missing) 11
33.3%
ValueCountFrequency (%)
0 1
3.0%
3 1
3.0%
4 1
3.0%
6 1
3.0%
11 1
3.0%
14 1
3.0%
16 1
3.0%
18 1
3.0%
19 1
3.0%
20 1
3.0%
ValueCountFrequency (%)
49 1
3.0%
43 1
3.0%
39 1
3.0%
38 1
3.0%
34 1
3.0%
30 2
6.1%
28 2
6.1%
27 1
3.0%
26 1
3.0%
23 1
3.0%
Distinct27
Distinct (%)93.1%
Missing4
Missing (%)12.1%
Memory size396.0 B
2023-12-12T20:44:46.600461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters349
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

Unique26 ?
Unique (%)89.7%

Sample

1st row043-201-2352
2nd row043-201-2352
3rd row043-201-2352
4th row043-229-2622
5th row070-8813-9903
ValueCountFrequency (%)
043-201-2352 3
 
10.3%
043-540-3755 1
 
3.4%
043-642-3646 1
 
3.4%
043-881-9253 1
 
3.4%
043-871-5949 1
 
3.4%
043-830-2686 1
 
3.4%
043-539-7692 1
 
3.4%
043-835-4115 1
 
3.4%
043-743-0004 1
 
3.4%
043-740-3202 1
 
3.4%
Other values (17) 17
58.6%
2023-12-12T20:44:47.133834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 58
16.6%
0 53
15.2%
3 51
14.6%
4 47
13.5%
2 34
9.7%
5 21
 
6.0%
8 21
 
6.0%
7 18
 
5.2%
6 18
 
5.2%
1 14
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 291
83.4%
Dash Punctuation 58
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
18.2%
3 51
17.5%
4 47
16.2%
2 34
11.7%
5 21
 
7.2%
8 21
 
7.2%
7 18
 
6.2%
6 18
 
6.2%
1 14
 
4.8%
9 14
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 58
16.6%
0 53
15.2%
3 51
14.6%
4 47
13.5%
2 34
9.7%
5 21
 
6.0%
8 21
 
6.0%
7 18
 
5.2%
6 18
 
5.2%
1 14
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 58
16.6%
0 53
15.2%
3 51
14.6%
4 47
13.5%
2 34
9.7%
5 21
 
6.0%
8 21
 
6.0%
7 18
 
5.2%
6 18
 
5.2%
1 14
 
4.0%
Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:44:47.427783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.3939394
Min length3

Characters and Unicode

Total characters211
Distinct characters80
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)75.8%

Sample

1st row청주시 문예운영과
2nd row청주시 문예운영과
3rd row청주시 문예운영과
4th row충청북도 교육청
5th row예술나눔터
ValueCountFrequency (%)
청주시 3
 
6.7%
영동군 3
 
6.7%
국악문화체육과 3
 
6.7%
문예운영과 3
 
6.7%
충주시 2
 
4.4%
충청북도 2
 
4.4%
문화관광과 2
 
4.4%
시설관리사업소 1
 
2.2%
옥천군 1
 
2.2%
자계예술촌 1
 
2.2%
Other values (24) 24
53.3%
2023-12-12T20:44:47.820860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
5.7%
12
 
5.7%
10
 
4.7%
9
 
4.3%
9
 
4.3%
9
 
4.3%
9
 
4.3%
8
 
3.8%
7
 
3.3%
6
 
2.8%
Other values (70) 120
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
93.8%
Space Separator 12
 
5.7%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
6.1%
10
 
5.1%
9
 
4.5%
9
 
4.5%
9
 
4.5%
9
 
4.5%
8
 
4.0%
7
 
3.5%
6
 
3.0%
6
 
3.0%
Other values (68) 113
57.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
93.8%
Common 12
 
5.7%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
6.1%
10
 
5.1%
9
 
4.5%
9
 
4.5%
9
 
4.5%
9
 
4.5%
8
 
4.0%
7
 
3.5%
6
 
3.0%
6
 
3.0%
Other values (68) 113
57.1%
Common
ValueCountFrequency (%)
12
100.0%
Latin
ValueCountFrequency (%)
J 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
93.8%
ASCII 13
 
6.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
92.3%
J 1
 
7.7%
Hangul
ValueCountFrequency (%)
12
 
6.1%
10
 
5.1%
9
 
4.5%
9
 
4.5%
9
 
4.5%
9
 
4.5%
8
 
4.0%
7
 
3.5%
6
 
3.0%
6
 
3.0%
Other values (68) 113
57.1%

편의시설정보
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing18
Missing (%)54.5%
Memory size396.0 B
2023-12-12T20:44:48.066512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length21
Mean length12.066667
Min length2

Characters and Unicode

Total characters181
Distinct characters58
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

Unique15 ?
Unique (%)100.0%

Sample

1st row놀이방 자체 주차장
2nd row놀이방
3rd row카페
4th row놀이방 장애인전용엘리베이터 자체 주차장
5th row레스토랑 공영 주차장
ValueCountFrequency (%)
주차장 8
18.6%
놀이방 4
 
9.3%
자체 4
 
9.3%
자전거보관대 2
 
4.7%
공영 2
 
4.7%
주차장(장애인 2
 
4.7%
일반 2
 
4.7%
커피자판기 2
 
4.7%
3대 1
 
2.3%
물품보관소+유아놀이방 1
 
2.3%
Other values (15) 15
34.9%
2023-12-12T20:44:48.456601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
15.5%
14
 
7.7%
10
 
5.5%
10
 
5.5%
8
 
4.4%
7
 
3.9%
7
 
3.9%
6
 
3.3%
6
 
3.3%
4
 
2.2%
Other values (48) 81
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
77.9%
Space Separator 28
 
15.5%
Decimal Number 7
 
3.9%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%
Math Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
9.9%
10
 
7.1%
10
 
7.1%
8
 
5.7%
7
 
5.0%
7
 
5.0%
6
 
4.3%
6
 
4.3%
4
 
2.8%
4
 
2.8%
Other values (39) 65
46.1%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
3 2
28.6%
9 1
14.3%
2 1
14.3%
8 1
14.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
77.9%
Common 40
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
9.9%
10
 
7.1%
10
 
7.1%
8
 
5.7%
7
 
5.0%
7
 
5.0%
6
 
4.3%
6
 
4.3%
4
 
2.8%
4
 
2.8%
Other values (39) 65
46.1%
Common
ValueCountFrequency (%)
28
70.0%
1 2
 
5.0%
) 2
 
5.0%
( 2
 
5.0%
3 2
 
5.0%
9 1
 
2.5%
+ 1
 
2.5%
2 1
 
2.5%
8 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
77.9%
ASCII 40
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
70.0%
1 2
 
5.0%
) 2
 
5.0%
( 2
 
5.0%
3 2
 
5.0%
9 1
 
2.5%
+ 1
 
2.5%
2 1
 
2.5%
8 1
 
2.5%
Hangul
ValueCountFrequency (%)
14
 
9.9%
10
 
7.1%
10
 
7.1%
8
 
5.7%
7
 
5.0%
7
 
5.0%
6
 
4.3%
6
 
4.3%
4
 
2.8%
4
 
2.8%
Other values (39) 65
46.1%

공연장소개
Text

MISSING 

Distinct16
Distinct (%)66.7%
Missing9
Missing (%)27.3%
Memory size396.0 B
2023-12-12T20:44:48.872668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length207
Median length130
Mean length59.291667
Min length5

Characters and Unicode

Total characters1423
Distinct characters291
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)62.5%

Sample

1st row대공연장은 다목적 극장으로서 무대의 연출효과를 최대한으로 얻기 위해 무대를 PROSCENIUM ARCH형식으로 중앙무대(596제곱미터)를 중심으로 좌우옆무대(490제곱미터) 오케스트라를 시설하여 예술공연물(오폐라 발레 뮤지컬 콘서트 독창 국악연주 창극 판소리 연극 무용)과 일반생사(강연회 발표회 심포지움등 각종행사)를 수용할 수 있는 극장
2nd row소공연장은 SUNKEN GARDEN을 통하여 외부와 연결되어 있는 지하 소공연장은 전면무대 또는 중앙무대를 통하여 다양한 공연을 할수 있는 가종의 시설을 완비하였고 무대 좌우에 설치한 MAIN SPEAKER를 통하여 어느 장소에서나 평균 음압이 유지될 수 있고 2개의 무선안테나 설치로 이동간 무선마이크를 자유롭게 이용할 수 있습니다.
3rd row2013년9월 재개관 무대:243.6제곱미터 객석:710석(장애인석포함) 무대가 관객과 얼굴을 마주칠 정도의 친밀도가 높아 연주자와 관객이 함께 호흡할 수 있는 무대를 연출할 수 있습니다. 내부 마감재가 나무로 되어 있어 우아한 분위기와 더불어 음향 또한 따뜻한 느낌을 줍니다. 사운드 배너설치로 잔향 조절이 가능하여 뮤지컬 연극 실내악 독주회 등이 가능한 기능성 공간
4th row충북 교육청에서 운영하는 공연장
5th row민간공연장
ValueCountFrequency (%)
민간공연장 9
 
2.9%
있는 7
 
2.3%
7
 
2.3%
있습니다 4
 
1.3%
문화 3
 
1.0%
문화예술 3
 
1.0%
공연장 3
 
1.0%
3
 
1.0%
통하여 3
 
1.0%
공간 3
 
1.0%
Other values (244) 262
85.3%
2023-12-12T20:44:49.476361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
20.1%
30
 
2.1%
26
 
1.8%
22
 
1.5%
22
 
1.5%
20
 
1.4%
18
 
1.3%
17
 
1.2%
17
 
1.2%
16
 
1.1%
Other values (281) 949
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1023
71.9%
Space Separator 286
 
20.1%
Decimal Number 48
 
3.4%
Uppercase Letter 37
 
2.6%
Other Punctuation 15
 
1.1%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
2.9%
26
 
2.5%
22
 
2.2%
22
 
2.2%
20
 
2.0%
18
 
1.8%
17
 
1.7%
17
 
1.7%
16
 
1.6%
16
 
1.6%
Other values (249) 819
80.1%
Uppercase Letter
ValueCountFrequency (%)
E 5
13.5%
N 5
13.5%
A 4
10.8%
R 4
10.8%
S 3
8.1%
P 2
 
5.4%
I 2
 
5.4%
M 2
 
5.4%
C 2
 
5.4%
U 2
 
5.4%
Other values (5) 6
16.2%
Decimal Number
ValueCountFrequency (%)
0 10
20.8%
9 9
18.8%
2 7
14.6%
1 7
14.6%
4 3
 
6.2%
5 3
 
6.2%
7 3
 
6.2%
8 2
 
4.2%
6 2
 
4.2%
3 2
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 10
66.7%
: 3
 
20.0%
! 1
 
6.7%
· 1
 
6.7%
Space Separator
ValueCountFrequency (%)
286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1023
71.9%
Common 363
 
25.5%
Latin 37
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
2.9%
26
 
2.5%
22
 
2.2%
22
 
2.2%
20
 
2.0%
18
 
1.8%
17
 
1.7%
17
 
1.7%
16
 
1.6%
16
 
1.6%
Other values (249) 819
80.1%
Common
ValueCountFrequency (%)
286
78.8%
. 10
 
2.8%
0 10
 
2.8%
9 9
 
2.5%
2 7
 
1.9%
) 7
 
1.9%
1 7
 
1.9%
( 7
 
1.9%
4 3
 
0.8%
5 3
 
0.8%
Other values (7) 14
 
3.9%
Latin
ValueCountFrequency (%)
E 5
13.5%
N 5
13.5%
A 4
10.8%
R 4
10.8%
S 3
8.1%
P 2
 
5.4%
I 2
 
5.4%
M 2
 
5.4%
C 2
 
5.4%
U 2
 
5.4%
Other values (5) 6
16.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1023
71.9%
ASCII 399
 
28.0%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
71.7%
. 10
 
2.5%
0 10
 
2.5%
9 9
 
2.3%
2 7
 
1.8%
) 7
 
1.8%
1 7
 
1.8%
( 7
 
1.8%
E 5
 
1.3%
N 5
 
1.3%
Other values (21) 46
 
11.5%
Hangul
ValueCountFrequency (%)
30
 
2.9%
26
 
2.5%
22
 
2.2%
22
 
2.2%
20
 
2.0%
18
 
1.8%
17
 
1.7%
17
 
1.7%
16
 
1.6%
16
 
1.6%
Other values (249) 819
80.1%
None
ValueCountFrequency (%)
· 1
100.0%

교통안내정보
Text

MISSING 

Distinct9
Distinct (%)81.8%
Missing22
Missing (%)66.7%
Memory size396.0 B
2023-12-12T20:44:49.728914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length13.909091
Min length4

Characters and Unicode

Total characters153
Distinct characters56
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)63.6%

Sample

1st row대중교통 안내 주소 제공
2nd row청주시청에서 버스로 10분 거리
3rd row청주시청에서 버스로 10분 거리
4th row제천역에서 도보 7분
5th row제천시외버스터미널에서 도보 6분
ValueCountFrequency (%)
도보 3
 
9.4%
버스로 2
 
6.2%
5분 2
 
6.2%
2
 
6.2%
차로 2
 
6.2%
영동역에서 2
 
6.2%
청주시청에서 2
 
6.2%
지도안내 2
 
6.2%
거리 2
 
6.2%
10분 2
 
6.2%
Other values (11) 11
34.4%
2023-12-12T20:44:50.194056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
13.7%
7
 
4.6%
7
 
4.6%
7
 
4.6%
5
 
3.3%
5
 
3.3%
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
Other values (46) 84
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
76.5%
Space Separator 21
 
13.7%
Decimal Number 10
 
6.5%
Math Symbol 3
 
2.0%
Uppercase Letter 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
6.0%
7
 
6.0%
7
 
6.0%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
Other values (36) 65
55.6%
Decimal Number
ValueCountFrequency (%)
0 3
30.0%
5 2
20.0%
1 2
20.0%
2 1
 
10.0%
7 1
 
10.0%
6 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Math Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
76.5%
Common 34
 
22.2%
Latin 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
6.0%
7
 
6.0%
7
 
6.0%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
Other values (36) 65
55.6%
Common
ValueCountFrequency (%)
21
61.8%
3
 
8.8%
0 3
 
8.8%
5 2
 
5.9%
1 2
 
5.9%
2 1
 
2.9%
7 1
 
2.9%
6 1
 
2.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
76.5%
ASCII 33
 
21.6%
Arrows 3
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
63.6%
0 3
 
9.1%
5 2
 
6.1%
1 2
 
6.1%
2 1
 
3.0%
7 1
 
3.0%
C 1
 
3.0%
I 1
 
3.0%
6 1
 
3.0%
Hangul
ValueCountFrequency (%)
7
 
6.0%
7
 
6.0%
7
 
6.0%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
Other values (36) 65
55.6%
Arrows
ValueCountFrequency (%)
3
100.0%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
043-201-2032
043-201-2033
043-850-3913
043-740-3207
043-871-5949
Other values (10)
10 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique10 ?
Unique (%)30.3%

Sample

1st row043-201-2032
2nd row043-201-2032
3rd row043-201-2032
4th row043-201-2032
5th row043-201-2032

Common Values

ValueCountFrequency (%)
043-201-2032 7
21.2%
043-201-2033 6
18.2%
043-850-3913 5
15.2%
043-740-3207 3
9.1%
043-871-5949 2
 
6.1%
043-870-7835 1
 
3.0%
043-641-5551 1
 
3.0%
043-641-5514 1
 
3.0%
043-540-3755 1
 
3.0%
043-730-4891 1
 
3.0%
Other values (5) 5
15.2%

Length

2023-12-12T20:44:50.366839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
043-201-2032 7
21.2%
043-201-2033 6
18.2%
043-850-3913 5
15.2%
043-740-3207 3
9.1%
043-871-5949 2
 
6.1%
043-870-7835 1
 
3.0%
043-641-5551 1
 
3.0%
043-641-5514 1
 
3.0%
043-540-3755 1
 
3.0%
043-730-4891 1
 
3.0%
Other values (5) 5
15.2%

관리기관명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
청주시
13 
충주시
영동군
제천시
음성군
Other values (7)

Length

Max length9
Median length3
Mean length3.1818182
Min length3

Unique

Unique7 ?
Unique (%)21.2%

Sample

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

Common Values

ValueCountFrequency (%)
청주시 13
39.4%
충주시 5
 
15.2%
영동군 4
 
12.1%
제천시 2
 
6.1%
음성군 2
 
6.1%
충주시시설관리공단 1
 
3.0%
보은군 1
 
3.0%
옥천군 1
 
3.0%
증평군 1
 
3.0%
진천군 1
 
3.0%
Other values (2) 2
 
6.1%

Length

2023-12-12T20:44:50.513127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청주시 13
39.4%
충주시 5
 
15.2%
영동군 4
 
12.1%
제천시 2
 
6.1%
음성군 2
 
6.1%
충주시시설관리공단 1
 
3.0%
보은군 1
 
3.0%
옥천군 1
 
3.0%
증평군 1
 
3.0%
진천군 1
 
3.0%
Other values (2) 2
 
6.1%

Interactions

2023-12-12T20:44:38.296469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:35.980295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:36.731669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:37.553018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:38.491220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:36.152715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:36.931312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:37.734566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:38.664132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:36.334827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:37.183885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:37.923354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:38.858946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:36.533261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:37.403539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:38.133728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:44:50.646671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명(공연장명)시설구분소재지도로명주소개관일자면적(제곱미터)무대면적(제곱미터)객석수구동무대기계기구수운영기관전화번호운영기관명편의시설정보공연장소개교통안내정보관리기관전화번호관리기관명
시설명(공연장명)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설구분1.0001.0001.0001.0000.6840.9710.7250.5201.0001.0001.0001.0001.0000.4410.298
소재지도로명주소1.0001.0001.0001.0000.8190.8830.0000.8261.0001.0001.0000.8491.0001.0001.000
개관일자1.0001.0001.0001.0000.8190.8830.0000.8261.0001.0001.0000.8491.0001.0001.000
면적(제곱미터)1.0000.6840.8190.8191.0000.8490.7620.0000.7510.6671.0001.0000.8200.7030.647
무대면적(제곱미터)1.0000.9710.8830.8830.8491.0000.6840.7210.9150.5821.0001.0000.8830.9190.866
객석수1.0000.7250.0000.0000.7620.6841.0000.7570.0000.0001.0001.0001.0000.5160.289
구동무대기계기구수1.0000.5200.8260.8260.0000.7210.7571.0000.8850.8541.0000.7490.8830.0000.533
운영기관전화번호1.0001.0001.0001.0000.7510.9150.0000.8851.0001.0001.0000.7351.0001.0001.000
운영기관명1.0001.0001.0001.0000.6670.5820.0000.8541.0001.0001.0000.0000.8210.9761.000
편의시설정보1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공연장소개1.0001.0000.8490.8491.0001.0001.0000.7490.7350.0001.0001.0001.0000.9881.000
교통안내정보1.0001.0001.0001.0000.8200.8831.0000.8831.0000.8211.0001.0001.0001.0000.820
관리기관전화번호1.0000.4411.0001.0000.7030.9190.5160.0001.0000.9761.0000.9881.0001.0001.000
관리기관명1.0000.2981.0001.0000.6470.8660.2890.5331.0001.0001.0001.0000.8201.0001.000
2023-12-12T20:44:50.854148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명시설구분관리기관전화번호
관리기관명1.0000.1610.926
시설구분0.1611.0000.288
관리기관전화번호0.9260.2881.000
2023-12-12T20:44:51.001687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)무대면적(제곱미터)객석수구동무대기계기구수시설구분관리기관전화번호관리기관명
면적(제곱미터)1.0000.8170.9020.7450.6070.3030.300
무대면적(제곱미터)0.8171.0000.8100.8240.7150.5070.488
객석수0.9020.8101.0000.6440.7170.1820.066
구동무대기계기구수0.7450.8240.6441.0000.2810.0000.126
시설구분0.6070.7150.7170.2811.0000.2880.161
관리기관전화번호0.3030.5070.1820.0000.2881.0000.926
관리기관명0.3000.4880.0660.1260.1610.9261.000

Missing values

2023-12-12T20:44:39.140729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:44:39.585288image/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.
2023-12-12T20:44:39.897862image/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

시설명(공연장명)시설구분소재지도로명주소개관일자면적(제곱미터)무대면적(제곱미터)객석수구동무대기계기구수운영기관전화번호운영기관명편의시설정보공연장소개교통안내정보관리기관전화번호관리기관명
0청주예술의전당 대공연장공공충청북도 청주시 서원구 흥덕로 69 (사직동)1995-04-0161561066149349043-201-2352청주시 문예운영과놀이방 자체 주차장대공연장은 다목적 극장으로서 무대의 연출효과를 최대한으로 얻기 위해 무대를 PROSCENIUM ARCH형식으로 중앙무대(596제곱미터)를 중심으로 좌우옆무대(490제곱미터) 오케스트라를 시설하여 예술공연물(오폐라 발레 뮤지컬 콘서트 독창 국악연주 창극 판소리 연극 무용)과 일반생사(강연회 발표회 심포지움등 각종행사)를 수용할 수 있는 극장대중교통 안내 주소 제공043-201-2032청주시
1청주예술의전당 소공연장공공충청북도 청주시 서원구 흥덕로 69 (사직동)1995-04-01150626929626043-201-2352청주시 문예운영과놀이방소공연장은 SUNKEN GARDEN을 통하여 외부와 연결되어 있는 지하 소공연장은 전면무대 또는 중앙무대를 통하여 다양한 공연을 할수 있는 가종의 시설을 완비하였고 무대 좌우에 설치한 MAIN SPEAKER를 통하여 어느 장소에서나 평균 음압이 유지될 수 있고 2개의 무선안테나 설치로 이동간 무선마이크를 자유롭게 이용할 수 있습니다.<NA>043-201-2032청주시
2청주아트홀공공충청북도 청주시 서원구 예체로 118 (사직동)1979-05-01300128371028043-201-2352청주시 문예운영과카페2013년9월 재개관 무대:243.6제곱미터 객석:710석(장애인석포함) 무대가 관객과 얼굴을 마주칠 정도의 친밀도가 높아 연주자와 관객이 함께 호흡할 수 있는 무대를 연출할 수 있습니다. 내부 마감재가 나무로 되어 있어 우아한 분위기와 더불어 음향 또한 따뜻한 느낌을 줍니다. 사운드 배너설치로 잔향 조절이 가능하여 뮤지컬 연극 실내악 독주회 등이 가능한 기능성 공간<NA>043-201-2032청주시
3학생교육문화원공연장공공충청북도 청주시 청원구 공항로287번길 56 (주중동)2008-07-015218995105630043-229-2622충청북도 교육청<NA>충북 교육청에서 운영하는 공연장<NA>043-201-2032청주시
4예술나눔터민간충청북도 청주시 상당구 중앙로 30 3층호 (북문로2가)2011-02-26399799611070-8813-9903예술나눔터놀이방 장애인전용엘리베이터 자체 주차장민간공연장<NA>043-201-2032청주시
5문화공간새벽민간충청북도 청주시 서원구 수곡로 20-25 (수곡동)1991-05-0131756983043-286-7979문화공간새벽<NA>민간공연장<NA>043-201-2032청주시
6씨어터J민간충청북도 청주시 상당구 상당로69번길 12-6 4층 (북문로1가 우신빌딩)2004-12-223861031656043-256-3338씨어터J레스토랑 공영 주차장민간공연장<NA>043-201-2032청주시
7쇠내골민간충청북도 청주시 상당구 단재로 26 A동 2층 1호(석교동)2017-07-24156501154<NA>이병호주차장민간공연장청주시청에서 버스로 10분 거리043-201-2033청주시
8이음아트홀민간충청북도 청주시 청원구 공항로 237 2층(사천동)2018-11-292754012027043-213-0546김송이주차장 커피숍민간공연장청주시청에서 버스로 10분 거리043-201-2033청주시
9JIJIK(지직)민간충청북도 청주시 청원구 내수읍 청암로 355(내수읍)2020-07-09149<NA>80<NA><NA>최승철<NA>민간공연장<NA>043-201-2033청주시
시설명(공연장명)시설구분소재지도로명주소개관일자면적(제곱미터)무대면적(제곱미터)객석수구동무대기계기구수운영기관전화번호운영기관명편의시설정보공연장소개교통안내정보관리기관전화번호관리기관명
23우리소리관공공충청북도 영동군 심천면국악로1길332015-07-2866726030019043-740-3676영동군 국악문화체육과휴게실우리 전통음악을 보고 듣고 느끼며 체험할 수 있는 체험·체류형 국악타운입니다.영동역에서 차로 약 20분043-740-3676영동군
24대공연장(영동복합문화예술회관)공공충청북도 영동군 영동읍 영동힐링로 1172019-04-2692792744134043-740-3207영동군 국악문화체육과유아놀이방수준 높은 창작뮤지컬은 물론 클래식을 비롯한 순수예술흉과 신명을 돋우는 대중예술을 폭넓게 수용해 예술의 가치를 전하는데 최선을 다하고 있습니다.영동역에서 차로 약 5분043-740-3207영동군
25난계국악기체험전수관공공충청북도 영동군 심천면 국악로 182006-03-15165<NA>136<NA>043-740-3202영동군 국악문화체육과<NA><NA><NA>043-740-3207영동군
26자계예술촌 소극장민간충청북도 영동군 용화면 횡지구백길 52020-11-0999<NA>70<NA>043-743-0004자계예술촌<NA><NA><NA>043-740-3207영동군
27증평문화회관 공연장공공충청북도 증평군 증평읍 삼보로 281992-11-2848727649223043-835-4115증평군 시설관리사업소<NA><NA><NA>043-835-4115증평군
28화랑관공공충청북도 진천군 진천읍 문화로 69-42003-06-21357236342038043-539-7692진천군<NA>예술에 대한 거리감 없이 누구나 즐길 수 있는 곳으로 문화를 새롭게 창조하는 옥천문화예술회관은 옥천군민 뿐 아니라 다른 지역의 주민들과 함께 하며 옥천의 자랑거리가 되었습니다.지도안내043-539-7692진천군
29괴산문화예술회관공공충청북도 괴산군 읍내로 2661989-04-13172713447730043-830-2686괴산군자체 공영 주차장 운영각종 문화예술행사 아카데미개최 사회단체행사 등 전군민이 활용하는 문화예술 장소로 이용되고 있으며 2018년 문화예술회관 리모델링 2019년 공연장 등록으로 군민의 문화예술 향유권 확대와 문화예술인 및 단체들의 활동이 활성화 제고괴산시외버스터미널에서 도보 5분043-830-2686괴산군
30음성문화예술회관공공충청북도 음성군 음성읍 예술로1022008-09-27307264860043043-871-5949충청북도 음성군물품보관소+유아놀이방군민 문화 향유의 기회 증대를 통한 문화복지 음성의 실현을 위해 2008년 9월 27일 개관<NA>043-871-5949음성군
31소극장 하다민간충청북도 음성군 생극면 음성로 1619번길 382021-11-10126<NA>65<NA>043-881-9253윤종식<NA><NA><NA>043-871-5949음성군
32단양문화예술회관공공충청북도 단양군 단양읍 중앙1로 321986-04-15158215449816043-420-2557단양군청주차장(장애인 3대 일반 18대) 자전거보관대 커피자판기꿈과 희망이 있는 살기좋은 단양! 찾고 싶은 문화광관 중심의 단양문화예술회관에서 문화 향유의 기회증대 및 공연 공간 재공<NA>043-420-2552단양군