Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory53.7 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description전라남도 내 공공 29개소, 민간 7개소의 공연장 현황(공연장명, 객석수, 개관연도, 주소 등)에 대하여 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15124511/fileData.do

Alerts

개관연도 has 1 (2.8%) missing valuesMissing
공연장명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:48:12.241224
Analysis finished2023-12-11 22:48:13.028802
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Text

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T07:48:13.117634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters108
Distinct characters32
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

Unique11 ?
Unique (%)30.6%

Sample

1st row화순군
2nd row화순군
3rd row해남군
4th row진도군
5th row여수시
ValueCountFrequency (%)
여수시 7
19.4%
순천시 4
11.1%
목포시 4
11.1%
화순군 2
 
5.6%
광양시 2
 
5.6%
무안군 2
 
5.6%
보성군 2
 
5.6%
영암군 2
 
5.6%
해남군 1
 
2.8%
영광군 1
 
2.8%
Other values (9) 9
25.0%
2023-12-12T07:48:13.363638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 18
16.7%
군 18
16.7%
여 7
 
6.5%
수 7
 
6.5%
순 6
 
5.6%
목 4
 
3.7%
포 4
 
3.7%
천 4
 
3.7%
영 3
 
2.8%
광 3
 
2.8%
Other values (22) 34
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 18
16.7%
군 18
16.7%
여 7
 
6.5%
수 7
 
6.5%
순 6
 
5.6%
목 4
 
3.7%
포 4
 
3.7%
천 4
 
3.7%
영 3
 
2.8%
광 3
 
2.8%
Other values (22) 34
31.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 18
16.7%
군 18
16.7%
여 7
 
6.5%
수 7
 
6.5%
순 6
 
5.6%
목 4
 
3.7%
포 4
 
3.7%
천 4
 
3.7%
영 3
 
2.8%
광 3
 
2.8%
Other values (22) 34
31.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 18
16.7%
군 18
16.7%
여 7
 
6.5%
수 7
 
6.5%
순 6
 
5.6%
목 4
 
3.7%
포 4
 
3.7%
천 4
 
3.7%
영 3
 
2.8%
광 3
 
2.8%
Other values (22) 34
31.5%

공연장명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T07:48:13.567142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.4722222
Min length4

Characters and Unicode

Total characters269
Distinct characters99
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row화순군민회관
2nd row하니움 문화스포츠센터
3rd row해남 문화예술회관
4th row진도향토문화회관
5th row진남문예회관
ValueCountFrequency (%)
소극장 2
 
4.9%
문화예술회관 2
 
4.9%
화순군민회관 1
 
2.4%
고흥문화회관 1
 
2.4%
곡성군민회관 1
 
2.4%
담양문화회관 1
 
2.4%
남도소리울림터 1
 
2.4%
나주문화예술회관 1
 
2.4%
구례군 1
 
2.4%
광양커뮤니티센터 1
 
2.4%
Other values (29) 29
70.7%
2023-12-12T07:48:13.903304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 21
 
7.8%
회 19
 
7.1%
화 17
 
6.3%
문 17
 
6.3%
예 13
 
4.8%
술 11
 
4.1%
터 7
 
2.6%
민 6
 
2.2%
소 6
 
2.2%
군 6
 
2.2%
Other values (89) 146
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
98.1%
Space Separator 5
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 21
 
8.0%
회 19
 
7.2%
화 17
 
6.4%
문 17
 
6.4%
예 13
 
4.9%
술 11
 
4.2%
터 7
 
2.7%
민 6
 
2.3%
소 6
 
2.3%
군 6
 
2.3%
Other values (88) 141
53.4%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 264
98.1%
Common 5
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 21
 
8.0%
회 19
 
7.2%
화 17
 
6.4%
문 17
 
6.4%
예 13
 
4.9%
술 11
 
4.2%
터 7
 
2.7%
민 6
 
2.3%
소 6
 
2.3%
군 6
 
2.3%
Other values (88) 141
53.4%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
98.1%
ASCII 5
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 21
 
8.0%
회 19
 
7.2%
화 17
 
6.4%
문 17
 
6.4%
예 13
 
4.9%
술 11
 
4.2%
터 7
 
2.7%
민 6
 
2.3%
소 6
 
2.3%
군 6
 
2.3%
Other values (88) 141
53.4%
ASCII
ValueCountFrequency (%)
5
100.0%

주소
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T07:48:14.162873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length13.611111
Min length9

Characters and Unicode

Total characters490
Distinct characters93
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

Unique34 ?
Unique (%)94.4%

Sample

1st row화순군 화순읍 광덕중앙길 37-1
2nd row화순군 학포로 이용대체육관
3rd row해남군 해남읍 군청길 4
4th row진도군 진도읍 진도대로 7197
5th row여수시 좌수영로 69
ValueCountFrequency (%)
여수시 7
 
5.5%
순천시 4
 
3.1%
목포시 4
 
3.1%
중앙로 3
 
2.4%
좌수영로 2
 
1.6%
보성읍 2
 
1.6%
보성군 2
 
1.6%
화순군 2
 
1.6%
무안군 2
 
1.6%
영암군 2
 
1.6%
Other values (95) 97
76.4%
2023-12-12T07:48:14.535077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
18.6%
로 25
 
5.1%
1 25
 
5.1%
군 19
 
3.9%
시 18
 
3.7%
읍 18
 
3.7%
2 17
 
3.5%
길 13
 
2.7%
9 12
 
2.4%
영 10
 
2.0%
Other values (83) 242
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 289
59.0%
Decimal Number 103
 
21.0%
Space Separator 91
 
18.6%
Dash Punctuation 7
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 25
 
8.7%
군 19
 
6.6%
시 18
 
6.2%
읍 18
 
6.2%
길 13
 
4.5%
영 10
 
3.5%
수 9
 
3.1%
순 7
 
2.4%
성 7
 
2.4%
포 7
 
2.4%
Other values (71) 156
54.0%
Decimal Number
ValueCountFrequency (%)
1 25
24.3%
2 17
16.5%
9 12
11.7%
3 8
 
7.8%
6 8
 
7.8%
7 8
 
7.8%
5 7
 
6.8%
4 7
 
6.8%
8 6
 
5.8%
0 5
 
4.9%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 289
59.0%
Common 201
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 25
 
8.7%
군 19
 
6.6%
시 18
 
6.2%
읍 18
 
6.2%
길 13
 
4.5%
영 10
 
3.5%
수 9
 
3.1%
순 7
 
2.4%
성 7
 
2.4%
포 7
 
2.4%
Other values (71) 156
54.0%
Common
ValueCountFrequency (%)
91
45.3%
1 25
 
12.4%
2 17
 
8.5%
9 12
 
6.0%
3 8
 
4.0%
6 8
 
4.0%
7 8
 
4.0%
- 7
 
3.5%
5 7
 
3.5%
4 7
 
3.5%
Other values (2) 11
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 289
59.0%
ASCII 201
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
45.3%
1 25
 
12.4%
2 17
 
8.5%
9 12
 
6.0%
3 8
 
4.0%
6 8
 
4.0%
7 8
 
4.0%
- 7
 
3.5%
5 7
 
3.5%
4 7
 
3.5%
Other values (2) 11
 
5.5%
Hangul
ValueCountFrequency (%)
로 25
 
8.7%
군 19
 
6.6%
시 18
 
6.2%
읍 18
 
6.2%
길 13
 
4.5%
영 10
 
3.5%
수 9
 
3.1%
순 7
 
2.4%
성 7
 
2.4%
포 7
 
2.4%
Other values (71) 156
54.0%

개관연도
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)62.9%
Missing1
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean2002
Minimum1984
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T07:48:14.671889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1984
5-th percentile1986.7
Q11996.5
median2001
Q32010
95-th percentile2015
Maximum2019
Range35
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation9.3902327
Coefficient of variation (CV)0.0046904259
Kurtosis-0.84204813
Mean2002
Median Absolute Deviation (MAD)8
Skewness-0.088836189
Sum70070
Variance88.176471
MonotonicityNot monotonic
2023-12-12T07:48:14.777007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1993 3
 
8.3%
2001 3
 
8.3%
2015 3
 
8.3%
2012 2
 
5.6%
1997 2
 
5.6%
2008 2
 
5.6%
2004 2
 
5.6%
1987 2
 
5.6%
1998 2
 
5.6%
2000 2
 
5.6%
Other values (12) 12
33.3%
ValueCountFrequency (%)
1984 1
 
2.8%
1986 1
 
2.8%
1987 2
5.6%
1992 1
 
2.8%
1993 3
8.3%
1996 1
 
2.8%
1997 2
5.6%
1998 2
5.6%
1999 1
 
2.8%
2000 2
5.6%
ValueCountFrequency (%)
2019 1
 
2.8%
2015 3
8.3%
2014 1
 
2.8%
2013 1
 
2.8%
2012 2
5.6%
2011 1
 
2.8%
2009 1
 
2.8%
2008 2
5.6%
2006 1
 
2.8%
2004 2
5.6%

객석수_명
Real number (ℝ)

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean734.88889
Minimum70
Maximum2760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T07:48:14.895661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile110.5
Q1354.25
median660
Q3870.25
95-th percentile2167.75
Maximum2760
Range2690
Interquartile range (IQR)516

Descriptive statistics

Standard deviation607.17123
Coefficient of variation (CV)0.8262082
Kurtosis4.3866607
Mean734.88889
Median Absolute Deviation (MAD)232.5
Skewness1.9802243
Sum26456
Variance368656.9
MonotonicityNot monotonic
2023-12-12T07:48:15.003086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
70 2
 
5.6%
124 1
 
2.8%
482 1
 
2.8%
814 1
 
2.8%
558 1
 
2.8%
717 1
 
2.8%
363 1
 
2.8%
328 1
 
2.8%
679 1
 
2.8%
754 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
70 2
5.6%
124 1
2.8%
150 1
2.8%
180 1
2.8%
224 1
2.8%
251 1
2.8%
266 1
2.8%
328 1
2.8%
363 1
2.8%
450 1
2.8%
ValueCountFrequency (%)
2760 1
2.8%
2500 1
2.8%
2057 1
2.8%
1323 1
2.8%
1066 1
2.8%
978 1
2.8%
960 1
2.8%
893 1
2.8%
892 1
2.8%
863 1
2.8%

비고
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
공공
29 
민간
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공 29
80.6%
민간 7
 
19.4%

Length

2023-12-12T07:48:15.112668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:48:15.215219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 29
80.6%
민간 7
 
19.4%

Interactions

2023-12-12T07:48:12.687570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:12.503978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:12.771939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:12.602453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:48:15.322744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군공연장명주소개관연도객석수_명비고
시군1.0001.0001.0000.0000.0000.000
공연장명1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0000.9020.9561.000
개관연도0.0001.0000.9021.0000.6200.326
객석수_명0.0001.0000.9560.6201.0000.452
비고0.0001.0001.0000.3260.4521.000
2023-12-12T07:48:15.482381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개관연도객석수_명비고
개관연도1.0000.1000.298
객석수_명0.1001.0000.443
비고0.2980.4431.000

Missing values

2023-12-12T07:48:12.882514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:48:12.987940image/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

시군공연장명주소개관연도객석수_명비고
0화순군화순군민회관화순군 화순읍 광덕중앙길 37-11984124공공
1화순군하니움 문화스포츠센터화순군 학포로 이용대체육관2009893공공
2해남군해남 문화예술회관해남군 해남읍 군청길 420022760공공
3진도군진도향토문화회관진도군 진도읍 진도대로 71971997863공공
4여수시진남문예회관여수시 좌수영로 691993266공공
5여수시전남학생교육문화회관여수시 대통1길 552008557공공
6장흥군장흥문화예술회관장흥군 장흥읍 읍성로 962004641공공
7완도군완도군민회관완도군 완도읍 개포로 1111986547공공
8영암군영암군민회관영암군 영암읍 영암로 15271992800공공
9영광군영광예술의전당영광군 영광읍 천년로 13길 2-342014742공공
시군공연장명주소개관연도객석수_명비고
26곡성군곡성군민회관곡성군 곡성읍 중앙로 591987482공공
27고흥군고흥문화회관고흥군 고흥읍 고흥로 1892-671999754공공
28강진군강진아트홀강진군 강진읍 영랑로1길 92011892공공
29영암군현대호텔영암군 삼호읍 대불로 912006500민간
30목포시필씨어터목포시 해안로 259번길 37200870민간
31여수시파도소리 소극장여수시 흥국로 411993180민간
32여수시예울마루여수시 예울마루로 10020121323민간
33목포시예술인사랑방목포시 영산로 152-22000150민간
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