Overview

Dataset statistics

Number of variables33
Number of observations45
Missing cells309
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory288.9 B

Variable types

Categorical6
Text7
DateTime1
Numeric19

Alerts

집계일자 has constant value ""Constant
WGS84위도 has constant value ""Constant
WGS84경도 has constant value ""Constant
건립주체명 is highly imbalanced (71.7%)Imbalance
운영기관유형 is highly imbalanced (68.1%)Imbalance
종합공연장객석수(개) has 31 (68.9%) missing valuesMissing
종합공연장면적(㎡) has 31 (68.9%) missing valuesMissing
일반공연장객석수(개) has 10 (22.2%) missing valuesMissing
일반공연장면적(㎡) has 10 (22.2%) missing valuesMissing
소공연장객석수(개) has 22 (48.9%) missing valuesMissing
소공연장면적(㎡) has 22 (48.9%) missing valuesMissing
전시장면적(㎡) has 20 (44.4%) missing valuesMissing
교육장면적(㎡) has 28 (62.2%) missing valuesMissing
회의시설면적(㎡) has 29 (64.4%) missing valuesMissing
야외공연장수용인원수(명) has 33 (73.3%) missing valuesMissing
야외공연장면적(㎡) has 32 (71.1%) missing valuesMissing
전문직원수(명) has 6 (13.3%) missing valuesMissing
공연일수 has 5 (11.1%) missing valuesMissing
전시일수 has 21 (46.7%) missing valuesMissing
공연유료관객수(명) has 3 (6.7%) missing valuesMissing
총이용자수(명) has 6 (13.3%) missing valuesMissing
시설명 has unique valuesUnique
개관일자 has unique valuesUnique
연면적(㎡) has unique valuesUnique

Reproduction

Analysis started2024-03-12 23:28:28.939203
Analysis finished2024-03-12 23:28:29.337125
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-01-01
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 45
100.0%

Length

2024-03-13T08:28:29.381878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:28:29.454740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 45
100.0%

시군명
Text

Distinct28
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-13T08:28:29.585704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0666667
Min length3

Characters and Unicode

Total characters138
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)42.2%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row고양시
5th row과천시
ValueCountFrequency (%)
파주시 4
 
8.9%
용인시 4
 
8.9%
화성시 3
 
6.7%
평택시 3
 
6.7%
수원시 3
 
6.7%
고양시 3
 
6.7%
부천시 2
 
4.4%
성남시 2
 
4.4%
안양시 2
 
4.4%
의정부시 1
 
2.2%
Other values (18) 18
40.0%
2024-03-13T08:28:29.826022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 43
31.2%
주 8
 
5.8%
천 7
 
5.1%
양 7
 
5.1%
성 6
 
4.3%
파 4
 
2.9%
용 4
 
2.9%
인 4
 
2.9%
평 4
 
2.9%
안 4
 
2.9%
Other values (26) 47
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 43
31.2%
주 8
 
5.8%
천 7
 
5.1%
양 7
 
5.1%
성 6
 
4.3%
파 4
 
2.9%
용 4
 
2.9%
인 4
 
2.9%
평 4
 
2.9%
안 4
 
2.9%
Other values (26) 47
34.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 43
31.2%
주 8
 
5.8%
천 7
 
5.1%
양 7
 
5.1%
성 6
 
4.3%
파 4
 
2.9%
용 4
 
2.9%
인 4
 
2.9%
평 4
 
2.9%
안 4
 
2.9%
Other values (26) 47
34.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 43
31.2%
주 8
 
5.8%
천 7
 
5.1%
양 7
 
5.1%
성 6
 
4.3%
파 4
 
2.9%
용 4
 
2.9%
인 4
 
2.9%
평 4
 
2.9%
안 4
 
2.9%
Other values (26) 47
34.1%

시설명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-13T08:28:30.015691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.6888889
Min length5

Characters and Unicode

Total characters301
Distinct characters89
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

Unique45 ?
Unique (%)100.0%

Sample

1st row가평문화예술회관
2nd row고양어울림누리
3rd row고양아람누리
4th row고양시문예회관
5th row과천시민회관
ValueCountFrequency (%)
가평문화예술회관 1
 
2.2%
파주시민회관 1
 
2.2%
연천수레울아트홀 1
 
2.2%
오산문화예술회관 1
 
2.2%
용인포은아트홀 1
 
2.2%
큰어울마당 1
 
2.2%
용인시문예회관 1
 
2.2%
문화예술원 1
 
2.2%
마루홀 1
 
2.2%
의정부예술의전당 1
 
2.2%
Other values (36) 36
78.3%
2024-03-13T08:28:30.308989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 18
 
6.0%
트 16
 
5.3%
문 15
 
5.0%
회 15
 
5.0%
관 15
 
5.0%
화 12
 
4.0%
예 12
 
4.0%
홀 12
 
4.0%
술 10
 
3.3%
센 9
 
3.0%
Other values (79) 167
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
99.0%
Uppercase Letter 2
 
0.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 18
 
6.0%
트 16
 
5.4%
문 15
 
5.0%
회 15
 
5.0%
관 15
 
5.0%
화 12
 
4.0%
예 12
 
4.0%
홀 12
 
4.0%
술 10
 
3.4%
센 9
 
3.0%
Other values (76) 164
55.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
99.0%
Latin 2
 
0.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 18
 
6.0%
트 16
 
5.4%
문 15
 
5.0%
회 15
 
5.0%
관 15
 
5.0%
화 12
 
4.0%
예 12
 
4.0%
홀 12
 
4.0%
술 10
 
3.4%
센 9
 
3.0%
Other values (76) 164
55.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
99.0%
ASCII 3
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 18
 
6.0%
트 16
 
5.4%
문 15
 
5.0%
회 15
 
5.0%
관 15
 
5.0%
화 12
 
4.0%
예 12
 
4.0%
홀 12
 
4.0%
술 10
 
3.4%
센 9
 
3.0%
Other values (76) 164
55.0%
ASCII
ValueCountFrequency (%)
1
33.3%
S 1
33.3%
K 1
33.3%

연락처
Text

Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-13T08:28:30.480361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.977778
Min length9

Characters and Unicode

Total characters539
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

Unique35 ?
Unique (%)77.8%

Sample

1st row031-8078-8076
2nd row1577-7766
3rd row1577-7766
4th row031-969-7939
5th row02-2009-9700
ValueCountFrequency (%)
031-260-3300 4
 
8.9%
1577-7766 2
 
4.4%
031-687-0500 2
 
4.4%
031-783-8000 2
 
4.4%
031-909-6242 1
 
2.2%
031-881-9696 1
 
2.2%
031-790-7979 1
 
2.2%
031-535-3600 1
 
2.2%
031-8053-3573 1
 
2.2%
031-8053-3594 1
 
2.2%
Other values (29) 29
64.4%
2024-03-13T08:28:30.772342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 115
21.3%
- 88
16.3%
3 77
14.3%
1 57
10.6%
8 36
 
6.7%
9 32
 
5.9%
6 31
 
5.8%
7 31
 
5.8%
2 30
 
5.6%
5 25
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 451
83.7%
Dash Punctuation 88
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 115
25.5%
3 77
17.1%
1 57
12.6%
8 36
 
8.0%
9 32
 
7.1%
6 31
 
6.9%
7 31
 
6.9%
2 30
 
6.7%
5 25
 
5.5%
4 17
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 539
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 115
21.3%
- 88
16.3%
3 77
14.3%
1 57
10.6%
8 36
 
6.7%
9 32
 
5.9%
6 31
 
5.8%
7 31
 
5.8%
2 30
 
5.6%
5 25
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 115
21.3%
- 88
16.3%
3 77
14.3%
1 57
10.6%
8 36
 
6.7%
9 32
 
5.9%
6 31
 
5.8%
7 31
 
5.8%
2 30
 
5.6%
5 25
 
4.6%

건립주체명
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
기초자치단체
41 
기초지자체
 
2
민간
 
1
광역자치단체
 
1

Length

Max length6
Median length6
Mean length5.8666667
Min length2

Unique

Unique2 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
기초자치단체 41
91.1%
기초지자체 2
 
4.4%
민간 1
 
2.2%
광역자치단체 1
 
2.2%

Length

2024-03-13T08:28:30.886631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:28:30.979343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기초자치단체 41
91.1%
기초지자체 2
 
4.4%
민간 1
 
2.2%
광역자치단체 1
 
2.2%

운영기관명
Text

Distinct31
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-13T08:28:31.130895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.2444444
Min length3

Characters and Unicode

Total characters326
Distinct characters61
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)51.1%

Sample

1st row가평군시설관리공단
2nd row고양문화재단
3rd row고양문화재단
4th row(재)고양문화재단
5th row재단법인 과천문화재단
ValueCountFrequency (%)
용인문화재단 4
 
8.2%
파주도시관광공사 4
 
8.2%
평택시문화재단 3
 
6.1%
화성시문화재단 3
 
6.1%
재단법인 3
 
6.1%
부천문화재단 2
 
4.1%
성남문화재단 2
 
4.1%
고양문화재단 2
 
4.1%
안양문화예술재단 2
 
4.1%
오산문화재단 1
 
2.0%
Other values (23) 23
46.9%
2024-03-13T08:28:31.397331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 40
 
12.3%
단 38
 
11.7%
화 37
 
11.3%
문 34
 
10.4%
시 18
 
5.5%
주 8
 
2.5%
관 7
 
2.1%
양 7
 
2.1%
공 7
 
2.1%
광 7
 
2.1%
Other values (51) 123
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
96.3%
Close Punctuation 4
 
1.2%
Open Punctuation 4
 
1.2%
Space Separator 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 40
 
12.7%
단 38
 
12.1%
화 37
 
11.8%
문 34
 
10.8%
시 18
 
5.7%
주 8
 
2.5%
관 7
 
2.2%
양 7
 
2.2%
공 7
 
2.2%
광 7
 
2.2%
Other values (48) 111
35.4%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
96.3%
Common 12
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 40
 
12.7%
단 38
 
12.1%
화 37
 
11.8%
문 34
 
10.8%
시 18
 
5.7%
주 8
 
2.5%
관 7
 
2.2%
양 7
 
2.2%
공 7
 
2.2%
광 7
 
2.2%
Other values (48) 111
35.4%
Common
ValueCountFrequency (%)
) 4
33.3%
( 4
33.3%
4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
96.3%
ASCII 12
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 40
 
12.7%
단 38
 
12.1%
화 37
 
11.8%
문 34
 
10.8%
시 18
 
5.7%
주 8
 
2.5%
관 7
 
2.2%
양 7
 
2.2%
공 7
 
2.2%
광 7
 
2.2%
Other values (48) 111
35.4%
ASCII
ValueCountFrequency (%)
) 4
33.3%
( 4
33.3%
4
33.3%

운영기관유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
공공기관 위탁
41 
지자체 직영
 
3
민간기관 위탁
 
1

Length

Max length7
Median length7
Mean length6.9333333
Min length6

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row공공기관 위탁
2nd row공공기관 위탁
3rd row공공기관 위탁
4th row공공기관 위탁
5th row공공기관 위탁

Common Values

ValueCountFrequency (%)
공공기관 위탁 41
91.1%
지자체 직영 3
 
6.7%
민간기관 위탁 1
 
2.2%

Length

2024-03-13T08:28:31.504114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:28:31.605314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 42
46.7%
공공기관 41
45.6%
지자체 3
 
3.3%
직영 3
 
3.3%
민간기관 1
 
1.1%

홈페이지주소
Text

Distinct32
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-13T08:28:31.781301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length33
Mean length18.466667
Min length11

Characters and Unicode

Total characters831
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)53.3%

Sample

1st rowgpfmc.or.kr
2nd rowwww.artgy.or.kr
3rd rowwww.artgy.or.kr
4th rowhttps://gyhallbo.artgy.or.kr/
5th rowwww.gcart.or.kr
ValueCountFrequency (%)
www.pajuutc.or.kr 4
 
8.9%
www.yicf.or.kr 4
 
8.9%
www.pccf.or.kr 3
 
6.7%
www.artgy.or.kr 2
 
4.4%
www.bcf.or.kr 2
 
4.4%
www.hcf.or.kr/art/122 2
 
4.4%
www.ayac.or.kr 2
 
4.4%
www.snart.or.kr 2
 
4.4%
www.artic.or.kr 1
 
2.2%
www.ansanart.com 1
 
2.2%
Other values (22) 22
48.9%
2024-03-13T08:28:32.040455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 133
16.0%
w 122
14.7%
r 103
12.4%
o 54
 
6.5%
k 45
 
5.4%
c 43
 
5.2%
t 40
 
4.8%
a 37
 
4.5%
/ 33
 
4.0%
s 20
 
2.4%
Other values (26) 201
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 642
77.3%
Other Punctuation 174
 
20.9%
Decimal Number 13
 
1.6%
Math Symbol 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 122
19.0%
r 103
16.0%
o 54
 
8.4%
k 45
 
7.0%
c 43
 
6.7%
t 40
 
6.2%
a 37
 
5.8%
s 20
 
3.1%
f 20
 
3.1%
p 20
 
3.1%
Other values (14) 138
21.5%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
2 4
30.8%
6 1
 
7.7%
3 1
 
7.7%
4 1
 
7.7%
0 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 133
76.4%
/ 33
 
19.0%
: 7
 
4.0%
? 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 642
77.3%
Common 189
 
22.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 122
19.0%
r 103
16.0%
o 54
 
8.4%
k 45
 
7.0%
c 43
 
6.7%
t 40
 
6.2%
a 37
 
5.8%
s 20
 
3.1%
f 20
 
3.1%
p 20
 
3.1%
Other values (14) 138
21.5%
Common
ValueCountFrequency (%)
. 133
70.4%
/ 33
 
17.5%
: 7
 
3.7%
1 5
 
2.6%
2 4
 
2.1%
= 1
 
0.5%
6 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
? 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 831
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 133
16.0%
w 122
14.7%
r 103
12.4%
o 54
 
6.5%
k 45
 
5.4%
c 43
 
5.2%
t 40
 
4.8%
a 37
 
4.5%
/ 33
 
4.0%
s 20
 
2.4%
Other values (26) 201
24.2%

개관일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum1970-12-01 00:00:00
Maximum2022-03-04 00:00:00
2024-03-13T08:28:32.145520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:32.250943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

연면적(㎡)
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21951.511
Minimum1901
Maximum280670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:32.354913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1901
5-th percentile2703
Q16462
median11328
Q322372
95-th percentile47989.8
Maximum280670
Range278769
Interquartile range (IQR)15910

Descriptive statistics

Standard deviation41760.354
Coefficient of variation (CV)1.9023908
Kurtosis35.196909
Mean21951.511
Median Absolute Deviation (MAD)6103
Skewness5.6570915
Sum987818
Variance1.7439271 × 109
MonotonicityNot monotonic
2024-03-13T08:28:32.450433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4801 1
 
2.2%
3862 1
 
2.2%
5225 1
 
2.2%
6462 1
 
2.2%
13882 1
 
2.2%
13647 1
 
2.2%
4883 1
 
2.2%
7178 1
 
2.2%
22372 1
 
2.2%
11834 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1901 1
2.2%
2439 1
2.2%
2582 1
2.2%
3187 1
2.2%
3862 1
2.2%
4801 1
2.2%
4883 1
2.2%
5225 1
2.2%
5845 1
2.2%
6054 1
2.2%
ValueCountFrequency (%)
280670 1
2.2%
56351 1
2.2%
48000 1
2.2%
47949 1
2.2%
44612 1
2.2%
43744 1
2.2%
31097 1
2.2%
29311 1
2.2%
28453 1
2.2%
24926 1
2.2%

종합공연장객석수(개)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing31
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean1350.2143
Minimum645
Maximum3336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:32.534588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum645
5-th percentile829.6
Q11038.75
median1171
Q31472.75
95-th percentile2342.8
Maximum3336
Range2691
Interquartile range (IQR)434

Descriptive statistics

Standard deviation642.38261
Coefficient of variation (CV)0.47576345
Kurtosis7.5949659
Mean1350.2143
Median Absolute Deviation (MAD)139.5
Skewness2.505733
Sum18903
Variance412655.41
MonotonicityNot monotonic
2024-03-13T08:28:32.613157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1218 1
 
2.2%
3336 1
 
2.2%
929 1
 
2.2%
1038 1
 
2.2%
1142 1
 
2.2%
1041 1
 
2.2%
1808 1
 
2.2%
645 1
 
2.2%
1544 1
 
2.2%
1592 1
 
2.2%
Other values (4) 4
 
8.9%
(Missing) 31
68.9%
ValueCountFrequency (%)
645 1
2.2%
929 1
2.2%
1025 1
2.2%
1038 1
2.2%
1041 1
2.2%
1126 1
2.2%
1142 1
2.2%
1200 1
2.2%
1218 1
2.2%
1259 1
2.2%
ValueCountFrequency (%)
3336 1
2.2%
1808 1
2.2%
1592 1
2.2%
1544 1
2.2%
1259 1
2.2%
1218 1
2.2%
1200 1
2.2%
1142 1
2.2%
1126 1
2.2%
1041 1
2.2%

종합공연장면적(㎡)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing31
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean4708.2857
Minimum552
Maximum16934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:32.689249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum552
5-th percentile652.1
Q11124
median1958
Q36789
95-th percentile14568.65
Maximum16934
Range16382
Interquartile range (IQR)5665

Descriptive statistics

Standard deviation5468.0585
Coefficient of variation (CV)1.1613693
Kurtosis0.51339724
Mean4708.2857
Median Absolute Deviation (MAD)1056
Skewness1.3553324
Sum65916
Variance29899664
MonotonicityNot monotonic
2024-03-13T08:28:32.781114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1098 1
 
2.2%
7582 1
 
2.2%
706 1
 
2.2%
1755 1
 
2.2%
1149 1
 
2.2%
1116 1
 
2.2%
16934 1
 
2.2%
552 1
 
2.2%
13295 1
 
2.2%
2167 1
 
2.2%
Other values (4) 4
 
8.9%
(Missing) 31
68.9%
ValueCountFrequency (%)
552 1
2.2%
706 1
2.2%
1098 1
2.2%
1116 1
2.2%
1148 1
2.2%
1149 1
2.2%
1755 1
2.2%
2161 1
2.2%
2167 1
2.2%
4410 1
2.2%
ValueCountFrequency (%)
16934 1
2.2%
13295 1
2.2%
11843 1
2.2%
7582 1
2.2%
4410 1
2.2%
2167 1
2.2%
2161 1
2.2%
1755 1
2.2%
1149 1
2.2%
1148 1
2.2%

일반공연장객석수(개)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)97.1%
Missing10
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean568.6
Minimum300
Maximum1102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:32.886903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile307.7
Q1410
median536
Q3639.5
95-th percentile922.7
Maximum1102
Range802
Interquartile range (IQR)229.5

Descriptive statistics

Standard deviation196.37362
Coefficient of variation (CV)0.34536339
Kurtosis0.47371018
Mean568.6
Median Absolute Deviation (MAD)108
Skewness0.84814751
Sum19901
Variance38562.6
MonotonicityNot monotonic
2024-03-13T08:28:32.985974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
300 2
 
4.4%
606 1
 
2.2%
800 1
 
2.2%
607 1
 
2.2%
626 1
 
2.2%
497 1
 
2.2%
536 1
 
2.2%
463 1
 
2.2%
768 1
 
2.2%
384 1
 
2.2%
Other values (24) 24
53.3%
(Missing) 10
22.2%
ValueCountFrequency (%)
300 2
4.4%
311 1
2.2%
334 1
2.2%
374 1
2.2%
376 1
2.2%
382 1
2.2%
384 1
2.2%
392 1
2.2%
428 1
2.2%
463 1
2.2%
ValueCountFrequency (%)
1102 1
2.2%
950 1
2.2%
911 1
2.2%
910 1
2.2%
800 1
2.2%
768 1
2.2%
714 1
2.2%
682 1
2.2%
641 1
2.2%
638 1
2.2%

일반공연장면적(㎡)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)97.1%
Missing10
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean1266.8857
Minimum263
Maximum5024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:33.087819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum263
5-th percentile328
Q1630.5
median903
Q31478.5
95-th percentile3759.6
Maximum5024
Range4761
Interquartile range (IQR)848

Descriptive statistics

Standard deviation1104.9091
Coefficient of variation (CV)0.87214585
Kurtosis3.7890945
Mean1266.8857
Median Absolute Deviation (MAD)413
Skewness1.9728042
Sum44341
Variance1220824.2
MonotonicityNot monotonic
2024-03-13T08:28:33.380568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
328 2
 
4.4%
1632 1
 
2.2%
903 1
 
2.2%
2203 1
 
2.2%
690 1
 
2.2%
845 1
 
2.2%
1696 1
 
2.2%
1025 1
 
2.2%
379 1
 
2.2%
1160 1
 
2.2%
Other values (24) 24
53.3%
(Missing) 10
22.2%
ValueCountFrequency (%)
263 1
2.2%
328 2
4.4%
334 1
2.2%
379 1
2.2%
428 1
2.2%
450 1
2.2%
490 1
2.2%
618 1
2.2%
643 1
2.2%
649 1
2.2%
ValueCountFrequency (%)
5024 1
2.2%
3964 1
2.2%
3672 1
2.2%
2900 1
2.2%
2203 1
2.2%
2167 1
2.2%
1703 1
2.2%
1696 1
2.2%
1632 1
2.2%
1325 1
2.2%

소공연장객석수(개)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing22
Missing (%)48.9%
Infinite0
Infinite (%)0.0%
Mean275
Minimum100
Maximum502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:33.465329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile166.2
Q1212.5
median270
Q3300
95-th percentile443
Maximum502
Range402
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation93.637114
Coefficient of variation (CV)0.3404986
Kurtosis0.59719759
Mean275
Median Absolute Deviation (MAD)52
Skewness0.64694383
Sum6325
Variance8767.9091
MonotonicityNot monotonic
2024-03-13T08:28:33.557228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
300 3
 
6.7%
200 2
 
4.4%
233 1
 
2.2%
367 1
 
2.2%
257 1
 
2.2%
282 1
 
2.2%
168 1
 
2.2%
256 1
 
2.2%
100 1
 
2.2%
450 1
 
2.2%
Other values (10) 10
22.2%
(Missing) 22
48.9%
ValueCountFrequency (%)
100 1
2.2%
166 1
2.2%
168 1
2.2%
200 2
4.4%
207 1
2.2%
218 1
2.2%
221 1
2.2%
233 1
2.2%
256 1
2.2%
257 1
2.2%
ValueCountFrequency (%)
502 1
 
2.2%
450 1
 
2.2%
380 1
 
2.2%
378 1
 
2.2%
367 1
 
2.2%
300 3
6.7%
290 1
 
2.2%
282 1
 
2.2%
280 1
 
2.2%
270 1
 
2.2%

소공연장면적(㎡)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing22
Missing (%)48.9%
Infinite0
Infinite (%)0.0%
Mean685.26087
Minimum72
Maximum3157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:33.643985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile73.8
Q1246
median340
Q3729.5
95-th percentile2511.7
Maximum3157
Range3085
Interquartile range (IQR)483.5

Descriptive statistics

Standard deviation815.9403
Coefficient of variation (CV)1.1907003
Kurtosis3.7653622
Mean685.26087
Median Absolute Deviation (MAD)146
Skewness2.083223
Sum15761
Variance665758.57
MonotonicityNot monotonic
2024-03-13T08:28:33.729244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
246 2
 
4.4%
486 2
 
4.4%
72 2
 
4.4%
132 1
 
2.2%
2571 1
 
2.2%
340 1
 
2.2%
307 1
 
2.2%
90 1
 
2.2%
230 1
 
2.2%
592 1
 
2.2%
Other values (10) 10
22.2%
(Missing) 22
48.9%
ValueCountFrequency (%)
72 2
4.4%
90 1
2.2%
132 1
2.2%
230 1
2.2%
246 2
4.4%
292 1
2.2%
307 1
2.2%
316 1
2.2%
327 1
2.2%
340 1
2.2%
ValueCountFrequency (%)
3157 1
2.2%
2571 1
2.2%
1978 1
2.2%
1234 1
2.2%
902 1
2.2%
867 1
2.2%
592 1
2.2%
486 2
4.4%
428 1
2.2%
390 1
2.2%

전시장개수(개)
Categorical

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
21 
1
13 
2
6 
4
 
2
3
 
2

Length

Max length4
Median length1
Mean length2.4
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row1
2nd row2
3rd row5
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
46.7%
1 13
28.9%
2 6
 
13.3%
4 2
 
4.4%
3 2
 
4.4%
5 1
 
2.2%

Length

2024-03-13T08:28:33.841747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:28:33.932768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
46.7%
1 13
28.9%
2 6
 
13.3%
4 2
 
4.4%
3 2
 
4.4%
5 1
 
2.2%

전시장면적(㎡)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing20
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean539.16
Minimum112
Maximum1956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:34.020674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile144
Q1316
median370
Q3552
95-th percentile1700.2
Maximum1956
Range1844
Interquartile range (IQR)236

Descriptive statistics

Standard deviation458.8933
Coefficient of variation (CV)0.85112637
Kurtosis5.7216436
Mean539.16
Median Absolute Deviation (MAD)124
Skewness2.4034546
Sum13479
Variance210583.06
MonotonicityNot monotonic
2024-03-13T08:28:34.121596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
533 1
 
2.2%
356 1
 
2.2%
317 1
 
2.2%
246 1
 
2.2%
330 1
 
2.2%
310 1
 
2.2%
112 1
 
2.2%
660 1
 
2.2%
740 1
 
2.2%
519 1
 
2.2%
Other values (15) 15
33.3%
(Missing) 20
44.4%
ValueCountFrequency (%)
112 1
2.2%
127 1
2.2%
212 1
2.2%
246 1
2.2%
290 1
2.2%
310 1
2.2%
316 1
2.2%
317 1
2.2%
330 1
2.2%
347 1
2.2%
ValueCountFrequency (%)
1956 1
2.2%
1899 1
2.2%
905 1
2.2%
740 1
2.2%
727 1
2.2%
660 1
2.2%
552 1
2.2%
533 1
2.2%
519 1
2.2%
462 1
2.2%

교육장면적(㎡)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing28
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean521.88235
Minimum67
Maximum2046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:34.213913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile80.6
Q1149
median417
Q3675
95-th percentile1219.6
Maximum2046
Range1979
Interquartile range (IQR)526

Descriptive statistics

Standard deviation497.528
Coefficient of variation (CV)0.95333363
Kurtosis4.7799167
Mean521.88235
Median Absolute Deviation (MAD)268
Skewness1.9112398
Sum8872
Variance247534.11
MonotonicityNot monotonic
2024-03-13T08:28:34.305455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
417 1
 
2.2%
67 1
 
2.2%
149 1
 
2.2%
976 1
 
2.2%
675 1
 
2.2%
194 1
 
2.2%
84 1
 
2.2%
1013 1
 
2.2%
113 1
 
2.2%
570 1
 
2.2%
Other values (7) 7
 
15.6%
(Missing) 28
62.2%
ValueCountFrequency (%)
67 1
2.2%
84 1
2.2%
113 1
2.2%
142 1
2.2%
149 1
2.2%
154 1
2.2%
194 1
2.2%
403 1
2.2%
417 1
2.2%
525 1
2.2%
ValueCountFrequency (%)
2046 1
2.2%
1013 1
2.2%
976 1
2.2%
705 1
2.2%
675 1
2.2%
639 1
2.2%
570 1
2.2%
525 1
2.2%
417 1
2.2%
403 1
2.2%

회의시설면적(㎡)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing29
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean258.0625
Minimum48
Maximum539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:34.394571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile83.25
Q1131
median175.5
Q3365.5
95-th percentile530
Maximum539
Range491
Interquartile range (IQR)234.5

Descriptive statistics

Standard deviation165.29427
Coefficient of variation (CV)0.6405203
Kurtosis-1.1126618
Mean258.0625
Median Absolute Deviation (MAD)94
Skewness0.63298804
Sum4129
Variance27322.196
MonotonicityNot monotonic
2024-03-13T08:28:34.472489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
135 1
 
2.2%
169 1
 
2.2%
182 1
 
2.2%
128 1
 
2.2%
132 1
 
2.2%
460 1
 
2.2%
325 1
 
2.2%
479 1
 
2.2%
126 1
 
2.2%
95 1
 
2.2%
Other values (6) 6
 
13.3%
(Missing) 29
64.4%
ValueCountFrequency (%)
48 1
2.2%
95 1
2.2%
126 1
2.2%
128 1
2.2%
132 1
2.2%
135 1
2.2%
167 1
2.2%
169 1
2.2%
182 1
2.2%
283 1
2.2%
ValueCountFrequency (%)
539 1
2.2%
527 1
2.2%
479 1
2.2%
460 1
2.2%
334 1
2.2%
325 1
2.2%
283 1
2.2%
182 1
2.2%
169 1
2.2%
167 1
2.2%

야외공연장수용인원수(명)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing33
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean504.16667
Minimum30
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:34.550057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile123.5
Q1200
median421
Q3693.5
95-th percentile1090
Maximum1200
Range1170
Interquartile range (IQR)493.5

Descriptive statistics

Standard deviation372.96596
Coefficient of variation (CV)0.73976719
Kurtosis-0.57563827
Mean504.16667
Median Absolute Deviation (MAD)221
Skewness0.76737949
Sum6050
Variance139103.61
MonotonicityNot monotonic
2024-03-13T08:28:34.631814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
200 3
 
6.7%
300 1
 
2.2%
980 1
 
2.2%
1200 1
 
2.2%
480 1
 
2.2%
1000 1
 
2.2%
30 1
 
2.2%
500 1
 
2.2%
362 1
 
2.2%
598 1
 
2.2%
(Missing) 33
73.3%
ValueCountFrequency (%)
30 1
 
2.2%
200 3
6.7%
300 1
 
2.2%
362 1
 
2.2%
480 1
 
2.2%
500 1
 
2.2%
598 1
 
2.2%
980 1
 
2.2%
1000 1
 
2.2%
1200 1
 
2.2%
ValueCountFrequency (%)
1200 1
 
2.2%
1000 1
 
2.2%
980 1
 
2.2%
598 1
 
2.2%
500 1
 
2.2%
480 1
 
2.2%
362 1
 
2.2%
300 1
 
2.2%
200 3
6.7%
30 1
 
2.2%

야외공연장면적(㎡)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing32
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean1013.5385
Minimum98
Maximum3603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:34.710257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile221.6
Q1496
median632
Q31021
95-th percentile2755.2
Maximum3603
Range3505
Interquartile range (IQR)525

Descriptive statistics

Standard deviation961.89177
Coefficient of variation (CV)0.94904318
Kurtosis3.8515477
Mean1013.5385
Median Absolute Deviation (MAD)290
Skewness1.9390422
Sum13176
Variance925235.77
MonotonicityNot monotonic
2024-03-13T08:28:34.795012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
454 1
 
2.2%
1021 1
 
2.2%
3603 1
 
2.2%
496 1
 
2.2%
609 1
 
2.2%
1652 1
 
2.2%
2190 1
 
2.2%
304 1
 
2.2%
98 1
 
2.2%
922 1
 
2.2%
Other values (3) 3
 
6.7%
(Missing) 32
71.1%
ValueCountFrequency (%)
98 1
2.2%
304 1
2.2%
454 1
2.2%
496 1
2.2%
499 1
2.2%
609 1
2.2%
632 1
2.2%
696 1
2.2%
922 1
2.2%
1021 1
2.2%
ValueCountFrequency (%)
3603 1
2.2%
2190 1
2.2%
1652 1
2.2%
1021 1
2.2%
922 1
2.2%
696 1
2.2%
632 1
2.2%
609 1
2.2%
499 1
2.2%
496 1
2.2%

총직원수(명)
Real number (ℝ)

Distinct34
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.155556
Minimum1
Maximum439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:34.887122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q110
median27
Q356
95-th percentile249.8
Maximum439
Range438
Interquartile range (IQR)46

Descriptive statistics

Standard deviation97.227464
Coefficient of variation (CV)1.6718517
Kurtosis9.7476586
Mean58.155556
Median Absolute Deviation (MAD)19
Skewness3.1090855
Sum2617
Variance9453.1798
MonotonicityNot monotonic
2024-03-13T08:28:34.991987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
56 3
 
6.7%
13 2
 
4.4%
30 2
 
4.4%
439 2
 
4.4%
18 2
 
4.4%
27 2
 
4.4%
8 2
 
4.4%
81 2
 
4.4%
10 2
 
4.4%
6 2
 
4.4%
Other values (24) 24
53.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 2
4.4%
7 1
2.2%
8 2
4.4%
10 2
4.4%
11 1
2.2%
ValueCountFrequency (%)
439 2
4.4%
257 1
 
2.2%
221 1
 
2.2%
93 1
 
2.2%
90 1
 
2.2%
81 2
4.4%
78 1
 
2.2%
70 1
 
2.2%
60 1
 
2.2%
56 3
6.7%

전문직원수(명)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)48.7%
Missing6
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean11.179487
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:35.086542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median9
Q312
95-th percentile32.1
Maximum57
Range56
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation10.922868
Coefficient of variation (CV)0.97704552
Kurtosis7.541914
Mean11.179487
Median Absolute Deviation (MAD)4
Skewness2.4158981
Sum436
Variance119.30904
MonotonicityNot monotonic
2024-03-13T08:28:35.164698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 4
8.9%
3 4
8.9%
9 4
8.9%
11 4
8.9%
1 4
8.9%
5 3
 
6.7%
8 2
 
4.4%
13 2
 
4.4%
7 2
 
4.4%
57 1
 
2.2%
Other values (9) 9
20.0%
(Missing) 6
13.3%
ValueCountFrequency (%)
1 4
8.9%
2 1
 
2.2%
3 4
8.9%
4 1
 
2.2%
5 3
6.7%
7 2
4.4%
8 2
4.4%
9 4
8.9%
10 4
8.9%
11 4
8.9%
ValueCountFrequency (%)
57 1
 
2.2%
33 1
 
2.2%
32 1
 
2.2%
27 1
 
2.2%
22 1
 
2.2%
21 1
 
2.2%
17 1
 
2.2%
14 1
 
2.2%
13 2
4.4%
11 4
8.9%

공연일수
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)97.5%
Missing5
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean103.675
Minimum11
Maximum415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:35.254972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13.9
Q133.75
median97.5
Q3136.5
95-th percentile208.5
Maximum415
Range404
Interquartile range (IQR)102.75

Descriptive statistics

Standard deviation79.655794
Coefficient of variation (CV)0.7683221
Kurtosis4.775184
Mean103.675
Median Absolute Deviation (MAD)53.5
Skewness1.6747486
Sum4147
Variance6345.0455
MonotonicityNot monotonic
2024-03-13T08:28:35.357378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
30 2
 
4.4%
79 1
 
2.2%
120 1
 
2.2%
82 1
 
2.2%
66 1
 
2.2%
113 1
 
2.2%
23 1
 
2.2%
16 1
 
2.2%
99 1
 
2.2%
14 1
 
2.2%
Other values (29) 29
64.4%
(Missing) 5
 
11.1%
ValueCountFrequency (%)
11 1
2.2%
12 1
2.2%
14 1
2.2%
16 1
2.2%
23 1
2.2%
24 1
2.2%
27 1
2.2%
30 2
4.4%
33 1
2.2%
34 1
2.2%
ValueCountFrequency (%)
415 1
2.2%
256 1
2.2%
206 1
2.2%
204 1
2.2%
200 1
2.2%
178 1
2.2%
158 1
2.2%
156 1
2.2%
152 1
2.2%
150 1
2.2%

전시일수
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing21
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean144.16667
Minimum2
Maximum364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:35.454737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.75
Q171.5
median143.5
Q3193.75
95-th percentile286.05
Maximum364
Range362
Interquartile range (IQR)122.25

Descriptive statistics

Standard deviation93.4022
Coefficient of variation (CV)0.64787653
Kurtosis-0.13817737
Mean144.16667
Median Absolute Deviation (MAD)61.5
Skewness0.4421844
Sum3460
Variance8723.971
MonotonicityNot monotonic
2024-03-13T08:28:35.547429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 2
 
4.4%
275 1
 
2.2%
223 1
 
2.2%
364 1
 
2.2%
243 1
 
2.2%
61 1
 
2.2%
89 1
 
2.2%
55 1
 
2.2%
167 1
 
2.2%
132 1
 
2.2%
Other values (13) 13
28.9%
(Missing) 21
46.7%
ValueCountFrequency (%)
2 2
4.4%
27 1
2.2%
49 1
2.2%
55 1
2.2%
61 1
2.2%
75 1
2.2%
89 1
2.2%
107 1
2.2%
113 1
2.2%
115 1
2.2%
ValueCountFrequency (%)
364 1
2.2%
288 1
2.2%
275 1
2.2%
243 1
2.2%
223 1
2.2%
196 1
2.2%
193 1
2.2%
188 1
2.2%
182 1
2.2%
167 1
2.2%

공연유료관객수(명)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)100.0%
Missing3
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean18114.571
Minimum929
Maximum154141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:35.643141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum929
5-th percentile1996.35
Q13287.75
median7107.5
Q314499.25
95-th percentile76188.65
Maximum154141
Range153212
Interquartile range (IQR)11211.5

Descriptive statistics

Standard deviation30517.818
Coefficient of variation (CV)1.684711
Kurtosis10.474418
Mean18114.571
Median Absolute Deviation (MAD)4851
Skewness3.1333066
Sum760812
Variance9.3133723 × 108
MonotonicityNot monotonic
2024-03-13T08:28:35.745496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
12686 1
 
2.2%
32273 1
 
2.2%
3581 1
 
2.2%
8323 1
 
2.2%
3908 1
 
2.2%
4476 1
 
2.2%
13723 1
 
2.2%
2246 1
 
2.2%
2117 1
 
2.2%
1990 1
 
2.2%
Other values (32) 32
71.1%
(Missing) 3
 
6.7%
ValueCountFrequency (%)
929 1
2.2%
1698 1
2.2%
1990 1
2.2%
2117 1
2.2%
2246 1
2.2%
2267 1
2.2%
2643 1
2.2%
2677 1
2.2%
2779 1
2.2%
3050 1
2.2%
ValueCountFrequency (%)
154141 1
2.2%
104514 1
2.2%
76256 1
2.2%
74909 1
2.2%
32273 1
2.2%
31830 1
2.2%
30490 1
2.2%
19938 1
2.2%
19819 1
2.2%
16321 1
2.2%

총이용자수(명)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)100.0%
Missing6
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean40445.538
Minimum1320
Maximum227732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:35.848219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1320
5-th percentile2206.5
Q113695.5
median19973
Q337382.5
95-th percentile166663.6
Maximum227732
Range226412
Interquartile range (IQR)23687

Descriptive statistics

Standard deviation54197.138
Coefficient of variation (CV)1.3400029
Kurtosis5.4155905
Mean40445.538
Median Absolute Deviation (MAD)13411
Skewness2.4532439
Sum1577376
Variance2.9373297 × 109
MonotonicityNot monotonic
2024-03-13T08:28:35.952130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
158240 1
 
2.2%
2212 1
 
2.2%
45027 1
 
2.2%
4108 1
 
2.2%
21401 1
 
2.2%
9011 1
 
2.2%
67503 1
 
2.2%
33384 1
 
2.2%
14635 1
 
2.2%
2157 1
 
2.2%
Other values (29) 29
64.4%
(Missing) 6
 
13.3%
ValueCountFrequency (%)
1320 1
2.2%
2157 1
2.2%
2212 1
2.2%
3870 1
2.2%
4108 1
2.2%
5097 1
2.2%
6460 1
2.2%
9011 1
2.2%
11526 1
2.2%
13264 1
2.2%
ValueCountFrequency (%)
227732 1
2.2%
206710 1
2.2%
162214 1
2.2%
158240 1
2.2%
68078 1
2.2%
67503 1
2.2%
48779 1
2.2%
48600 1
2.2%
45027 1
2.2%
38053 1
2.2%

소재지우편번호
Real number (ℝ)

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14192.289
Minimum10110
Maximum18459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-13T08:28:36.060234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10110
5-th percentile10462.2
Q111502
median14093
Q316870
95-th percentile18245.4
Maximum18459
Range8349
Interquartile range (IQR)5368

Descriptive statistics

Standard deviation2787.3125
Coefficient of variation (CV)0.19639626
Kurtosis-1.4959097
Mean14192.289
Median Absolute Deviation (MAD)2753
Skewness0.10163139
Sum638653
Variance7769111
MonotonicityNot monotonic
2024-03-13T08:28:36.166761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
16444 2
 
4.4%
12416 1
 
2.2%
10895 1
 
2.2%
18131 1
 
2.2%
16870 1
 
2.2%
16841 1
 
2.2%
17062 1
 
2.2%
17019 1
 
2.2%
11622 1
 
2.2%
17379 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
10110 1
2.2%
10409 1
2.2%
10460 1
2.2%
10471 1
2.2%
10813 1
2.2%
10894 1
2.2%
10895 1
2.2%
10932 1
2.2%
11012 1
2.2%
11151 1
2.2%
ValueCountFrequency (%)
18459 1
2.2%
18372 1
2.2%
18274 1
2.2%
18131 1
2.2%
17901 1
2.2%
17816 1
2.2%
17730 1
2.2%
17596 1
2.2%
17379 1
2.2%
17062 1
2.2%

소재지지번주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-13T08:28:36.399435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length19.911111
Min length17

Characters and Unicode

Total characters896
Distinct characters112
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row경기도 가평군 가평읍 대곡리 316번지
2nd row경기도 고양시 덕양구 성사동 826번지
3rd row경기도 고양시 일산동구 마두동 816번지
4th row경기도 고양시 덕양구 주교동 600번지
5th row경기도 과천시 중앙동 6-2번지
ValueCountFrequency (%)
경기도 45
 
22.1%
용인시 4
 
2.0%
파주시 4
 
2.0%
수원시 3
 
1.5%
화성시 3
 
1.5%
평택시 3
 
1.5%
고양시 3
 
1.5%
부천시 2
 
1.0%
매산로3가 2
 
1.0%
수지구 2
 
1.0%
Other values (125) 133
65.2%
2024-03-13T08:28:36.736146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
17.7%
지 47
 
5.2%
경 45
 
5.0%
번 45
 
5.0%
도 45
 
5.0%
기 45
 
5.0%
시 43
 
4.8%
동 41
 
4.6%
1 26
 
2.9%
3 22
 
2.5%
Other values (102) 378
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 576
64.3%
Space Separator 159
 
17.7%
Decimal Number 152
 
17.0%
Dash Punctuation 9
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 47
 
8.2%
경 45
 
7.8%
번 45
 
7.8%
도 45
 
7.8%
기 45
 
7.8%
시 43
 
7.5%
동 41
 
7.1%
구 18
 
3.1%
산 13
 
2.3%
양 12
 
2.1%
Other values (90) 222
38.5%
Decimal Number
ValueCountFrequency (%)
1 26
17.1%
3 22
14.5%
2 19
12.5%
0 18
11.8%
4 13
8.6%
6 12
7.9%
7 11
7.2%
9 11
7.2%
8 10
 
6.6%
5 10
 
6.6%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 576
64.3%
Common 320
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 47
 
8.2%
경 45
 
7.8%
번 45
 
7.8%
도 45
 
7.8%
기 45
 
7.8%
시 43
 
7.5%
동 41
 
7.1%
구 18
 
3.1%
산 13
 
2.3%
양 12
 
2.1%
Other values (90) 222
38.5%
Common
ValueCountFrequency (%)
159
49.7%
1 26
 
8.1%
3 22
 
6.9%
2 19
 
5.9%
0 18
 
5.6%
4 13
 
4.1%
6 12
 
3.8%
7 11
 
3.4%
9 11
 
3.4%
8 10
 
3.1%
Other values (2) 19
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 576
64.3%
ASCII 320
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
49.7%
1 26
 
8.1%
3 22
 
6.9%
2 19
 
5.9%
0 18
 
5.6%
4 13
 
4.1%
6 12
 
3.8%
7 11
 
3.4%
9 11
 
3.4%
8 10
 
3.1%
Other values (2) 19
 
5.9%
Hangul
ValueCountFrequency (%)
지 47
 
8.2%
경 45
 
7.8%
번 45
 
7.8%
도 45
 
7.8%
기 45
 
7.8%
시 43
 
7.5%
동 41
 
7.1%
구 18
 
3.1%
산 13
 
2.3%
양 12
 
2.1%
Other values (90) 222
38.5%

소재지도로명주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-13T08:28:36.961821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.955556
Min length13

Characters and Unicode

Total characters808
Distinct characters107
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row경기도 가평군 가평읍 문화로 131
2nd row경기도 고양시 덕양구 어울림로 33
3rd row경기도 고양시 일산동구 중앙로 1286
4th row경기도 고양시 덕양구 고양시청로 10
5th row경기도 과천시 통영로 5
ValueCountFrequency (%)
경기도 45
 
22.1%
용인시 4
 
2.0%
파주시 4
 
2.0%
화성시 3
 
1.5%
평택시 3
 
1.5%
고양시 3
 
1.5%
수원시 3
 
1.5%
덕양구 2
 
1.0%
안양시 2
 
1.0%
원미구 2
 
1.0%
Other values (119) 133
65.2%
2024-03-13T08:28:37.311612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
19.7%
경 47
 
5.8%
시 47
 
5.8%
기 47
 
5.8%
도 45
 
5.6%
로 43
 
5.3%
1 36
 
4.5%
구 18
 
2.2%
5 15
 
1.9%
3 15
 
1.9%
Other values (97) 336
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
63.7%
Space Separator 159
 
19.7%
Decimal Number 133
 
16.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 47
 
9.1%
시 47
 
9.1%
기 47
 
9.1%
도 45
 
8.7%
로 43
 
8.3%
구 18
 
3.5%
양 11
 
2.1%
안 10
 
1.9%
대 9
 
1.7%
산 9
 
1.7%
Other values (85) 229
44.5%
Decimal Number
ValueCountFrequency (%)
1 36
27.1%
5 15
11.3%
3 15
11.3%
2 13
 
9.8%
6 11
 
8.3%
0 10
 
7.5%
4 9
 
6.8%
9 8
 
6.0%
7 8
 
6.0%
8 8
 
6.0%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
63.7%
Common 293
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 47
 
9.1%
시 47
 
9.1%
기 47
 
9.1%
도 45
 
8.7%
로 43
 
8.3%
구 18
 
3.5%
양 11
 
2.1%
안 10
 
1.9%
대 9
 
1.7%
산 9
 
1.7%
Other values (85) 229
44.5%
Common
ValueCountFrequency (%)
159
54.3%
1 36
 
12.3%
5 15
 
5.1%
3 15
 
5.1%
2 13
 
4.4%
6 11
 
3.8%
0 10
 
3.4%
4 9
 
3.1%
9 8
 
2.7%
7 8
 
2.7%
Other values (2) 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
63.7%
ASCII 293
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
54.3%
1 36
 
12.3%
5 15
 
5.1%
3 15
 
5.1%
2 13
 
4.4%
6 11
 
3.8%
0 10
 
3.4%
4 9
 
3.1%
9 8
 
2.7%
7 8
 
2.7%
Other values (2) 9
 
3.1%
Hangul
ValueCountFrequency (%)
경 47
 
9.1%
시 47
 
9.1%
기 47
 
9.1%
도 45
 
8.7%
로 43
 
8.3%
구 18
 
3.5%
양 11
 
2.1%
안 10
 
1.9%
대 9
 
1.7%
산 9
 
1.7%
Other values (85) 229
44.5%

WGS84위도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
36.99999
45 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36.99999
2nd row36.99999
3rd row36.99999
4th row36.99999
5th row36.99999

Common Values

ValueCountFrequency (%)
36.99999 45
100.0%

Length

2024-03-13T08:28:37.412767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:28:37.495520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36.99999 45
100.0%

WGS84경도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
126.551514
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126.551514
2nd row126.551514
3rd row126.551514
4th row126.551514
5th row126.551514

Common Values

ValueCountFrequency (%)
126.551514 45
100.0%

Length

2024-03-13T08:28:37.591767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:28:37.680423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.551514 45
100.0%

Sample

집계일자시군명시설명연락처건립주체명운영기관명운영기관유형홈페이지주소개관일자연면적(㎡)종합공연장객석수(개)종합공연장면적(㎡)일반공연장객석수(개)일반공연장면적(㎡)소공연장객석수(개)소공연장면적(㎡)전시장개수(개)전시장면적(㎡)교육장면적(㎡)회의시설면적(㎡)야외공연장수용인원수(명)야외공연장면적(㎡)총직원수(명)전문직원수(명)공연일수전시일수공연유료관객수(명)총이용자수(명)소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02023-01-01가평군가평문화예술회관031-8078-8076기초자치단체가평군시설관리공단공공기관 위탁gpfmc.or.kr1998-07-114801<NA><NA>641952<NA><NA>1290113<NA><NA><NA>31242716981791412416경기도 가평군 가평읍 대곡리 316번지경기도 가평군 가평읍 문화로 13136.99999126.551514
12023-01-01고양시고양어울림누리1577-7766기초자치단체고양문화재단공공기관 위탁www.artgy.or.kr2004-09-014374412181098374328<NA><NA>2533417<NA>30045481111322757625615824010471경기도 고양시 덕양구 성사동 826번지경기도 고양시 덕양구 어울림로 3336.99999126.551514
22023-01-01고양시고양아람누리1577-7766기초자치단체고양문화재단공공기관 위탁www.artgy.or.kr2007-05-045635133367582300860<NA><NA>51899142<NA>98010218171781827490916221410409경기도 고양시 일산동구 마두동 816번지경기도 고양시 일산동구 중앙로 128636.99999126.551514
32023-01-01고양시고양시문예회관031-969-7939기초자치단체(재)고양문화재단공공기관 위탁https://gyhallbo.artgy.or.kr/1989-09-012582<NA><NA>334490<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>204<NA>105681997310460경기도 고양시 덕양구 주교동 600번지경기도 고양시 덕양구 고양시청로 1036.99999126.551514
42023-01-01과천시과천시민회관02-2009-9700기초자치단체재단법인 과천문화재단공공기관 위탁www.gcart.or.kr1995-10-0712577929706<NA><NA>38072<NA><NA><NA><NA>120036033013<NA><NA>54021812013807경기도 과천시 중앙동 6-2번지경기도 과천시 통영로 536.99999126.551514
52023-01-01광명시광명시민회관02-2621-8800기초자치단체광명문화재단공공기관 위탁www.gmcf.or.kr1990-01-175845<NA><NA>5301042<NA><NA>1347<NA><NA><NA><NA>70146315570113227214234경기도 광명시 철산동 222-1번지경기도 광명시 시청로 2036.99999126.551514
62023-01-01광주시남한산성아트홀031-762-8611기초자치단체광주시문화재단공공기관 위탁www.nsart.or.kr2011-09-28605410381755<NA><NA>2703902397<NA><NA><NA><NA>301715075163211932312746경기도 광주시 송정동 340-1번지경기도 광주시 회안대로 89136.99999126.551514
72023-01-01구리시구리아트홀031-580-7901기초자치단체구리문화재단공공기관 위탁www.guriart.or.kr2013-05-2410575<NA><NA>60013252803071462403<NA><NA><NA>188114115199384860011954경기도 구리시 교문동 390번지경기도 구리시 아차산로 45336.99999126.551514
82023-01-01군포시군포문화예술회관031-390-3500기초자치단체(재)군포문화재단공공기관 위탁www.gunpocf.or.kr/art1998-05-072492611421149428334<NA><NA>25527054792004964213152193141343514215820경기도 군포시 산본동 1101번지경기도 군포시 고산로 59936.99999126.551514
92023-01-01김포시김포아트홀031-996-7531기초지자체재단법인 김포문화재단공공기관 위탁www.gcf.or.kr2015-12-169008<NA><NA>5032167<NA><NA>1370<NA>126<NA><NA>2789619630503805310110경기도 김포시 사우동 925번지경기도 김포시 돌문로 2636.99999126.551514
집계일자시군명시설명연락처건립주체명운영기관명운영기관유형홈페이지주소개관일자연면적(㎡)종합공연장객석수(개)종합공연장면적(㎡)일반공연장객석수(개)일반공연장면적(㎡)소공연장객석수(개)소공연장면적(㎡)전시장개수(개)전시장면적(㎡)교육장면적(㎡)회의시설면적(㎡)야외공연장수용인원수(명)야외공연장면적(㎡)총직원수(명)전문직원수(명)공연일수전시일수공연유료관객수(명)총이용자수(명)소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
352023-01-01파주시운정행복센터031-909-6243기초자치단체파주도시관광공사공공기관 위탁www.pajuutc.or.kr2013-05-0229311<NA><NA>5361703200592<NA><NA><NA><NA><NA><NA>20799<NA>126861814110894경기도 파주시 와동동 1358번지경기도 파주시 와석순환로 41536.99999126.551514
362023-01-01파주시문산행복센터031-909-6242기초자치단체파주도시관광공사공공기관 위탁www.pajuutc.or.kr2011-05-0217784<NA><NA>4631160100230<NA><NA><NA><NA><NA><NA>10<NA>14<NA>1990646010813경기도 파주시 문산읍 선유리 1402번지경기도 파주시 문산읍 통일로 168036.99999126.551514
372023-01-01평택시남부문화예술회관031-8053-3515기초자치단체평택시문화재단공공기관 위탁www.pccf.or.kr1993-11-0211328<NA><NA>60610622562461310<NA>132<NA><NA>56111588942913671217901경기도 평택시 비전동 847번지경기도 평택시 중앙로 27736.99999126.551514
382023-01-01평택시서부문화예술회관031-8053-3594기초자치단체평택시문화재단공공기관 위탁www.pccf.or.kr1991-10-2918495<NA><NA>7681025168486<NA><NA><NA><NA><NA><NA>563102<NA>27791152617816경기도 평택시 안중읍 학현리 572번지경기도 평택시 안중읍 서동대로 153136.99999126.551514
392023-01-01평택시북부문화예술회관031-8053-3573기초자치단체평택시문화재단공공기관 위탁www.pccf.or.kr1991-12-076600<NA><NA>63116962824861330<NA><NA><NA><NA>56389619291326417730경기도 평택시 서정동 800번지경기도 평택시 경기대로 136636.99999126.551514
402023-01-01포천시포천반월아트홀031-535-3600기초자치단체(재)포천문화재단공공기관 위탁www.pcfac.or.kr2003-10-1810945<NA><NA>9108452572461246<NA>12836249933102724326772936111151경기도 포천시 군내면 하성북리 610번지경기도 포천시 군내면 청성로 11136.99999126.551514
412023-01-01하남시하남문화재단031-790-7979기초자치단체하남문화재단공공기관 위탁www.hnart.or.kr2007-05-118707<NA><NA>91169036734013171491822006323921256364318306807812934경기도 하남시 덕풍동 694번지경기도 하남시 신평로 12536.99999126.551514
422023-01-01화성시유앤아이센터031-267-8800기초자치단체화성시문화재단공공기관 위탁www.hcf.or.kr/art/1222009-03-05280670<NA><NA>6822203<NA><NA><NA><NA><NA><NA><NA><NA>439334<NA>6651<NA>18372경기도 화성시 병점동 734번지경기도 화성시 태안로 14536.99999126.551514
432023-01-01화성시동탄복합문화센터031-8015-8100기초자치단체화성시문화재단공공기관 위탁https://www.hcf.or.kr/hcf/12010-12-1728453<NA><NA>548903<NA><NA>23566716959869622127200223140784877918459경기도 화성시 반송동 108번지경기도 화성시 노작로 13436.99999126.551514
442023-01-01화성시모두누림센터031-350-4300기초자치단체화성시문화재단공공기관 위탁www.hcf.or.kr/art/1222017-04-0720647<NA><NA>3921632<NA><NA><NA><NA><NA><NA><NA><NA>439333<NA>2267<NA>18274경기도 화성시 남양읍 남양리 2147번지경기도 화성시 남양읍 시청로 15536.99999126.551514