Overview

Dataset statistics

Number of variables8
Number of observations34
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory70.9 B

Variable types

Text2
DateTime2
Categorical1
Numeric3

Dataset

Description제주특별자치도에 소재하고 있는 공연장과 관련한 데이터로 공연장명,등록일자,소재지,시설구분,공연장면적,무대면적,객석수 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15056258/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
공연장면적(미터제곱) is highly overall correlated with 무대면적(미터제곱) and 1 other fieldsHigh correlation
무대면적(미터제곱) is highly overall correlated with 공연장면적(미터제곱) and 1 other fieldsHigh correlation
객석수 is highly overall correlated with 공연장면적(미터제곱) and 1 other fieldsHigh correlation
등록일자 has 1 (2.9%) missing valuesMissing
공연장명 has unique valuesUnique
객석수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:44:19.381670
Analysis finished2023-12-12 02:44:20.954968
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공연장명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T11:44:21.142037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.5294118
Min length3

Characters and Unicode

Total characters290
Distinct characters111
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row제주도문예회관 대극장
2nd row제주도문예회관 소극장
3rd row제주해변공연장
4th row제주대학교아라뮤즈홀
5th row설문대여성문화센터공연장
ValueCountFrequency (%)
소극장 4
 
7.3%
공연장 3
 
5.5%
서귀포예술의전당 2
 
3.6%
스튜디오 2
 
3.6%
스테이지-야외 2
 
3.6%
제주도문예회관 2
 
3.6%
대극장 2
 
3.6%
노형수퍼마켙 1
 
1.8%
tank 1
 
1.8%
아트락 1
 
1.8%
Other values (35) 35
63.6%
2023-12-12T11:44:21.559852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
7.2%
장 14
 
4.8%
주 11
 
3.8%
제 11
 
3.8%
아 10
 
3.4%
트 9
 
3.1%
극 8
 
2.8%
이 6
 
2.1%
스 6
 
2.1%
대 6
 
2.1%
Other values (101) 188
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
86.9%
Space Separator 21
 
7.2%
Uppercase Letter 7
 
2.4%
Dash Punctuation 3
 
1.0%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Other Symbol 1
 
0.3%
Lowercase Letter 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 14
 
5.6%
주 11
 
4.4%
제 11
 
4.4%
아 10
 
4.0%
트 9
 
3.6%
극 8
 
3.2%
이 6
 
2.4%
스 6
 
2.4%
대 6
 
2.4%
터 6
 
2.4%
Other values (88) 165
65.5%
Uppercase Letter
ValueCountFrequency (%)
N 2
28.6%
K 1
14.3%
B 1
14.3%
A 1
14.3%
T 1
14.3%
I 1
14.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
87.2%
Common 29
 
10.0%
Latin 8
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 14
 
5.5%
주 11
 
4.3%
제 11
 
4.3%
아 10
 
4.0%
트 9
 
3.6%
극 8
 
3.2%
이 6
 
2.4%
스 6
 
2.4%
대 6
 
2.4%
터 6
 
2.4%
Other values (89) 166
65.6%
Latin
ValueCountFrequency (%)
N 2
25.0%
K 1
12.5%
B 1
12.5%
e 1
12.5%
A 1
12.5%
T 1
12.5%
I 1
12.5%
Common
ValueCountFrequency (%)
21
72.4%
- 3
 
10.3%
) 2
 
6.9%
( 2
 
6.9%
: 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
86.9%
ASCII 37
 
12.8%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
56.8%
- 3
 
8.1%
N 2
 
5.4%
) 2
 
5.4%
( 2
 
5.4%
K 1
 
2.7%
B 1
 
2.7%
e 1
 
2.7%
A 1
 
2.7%
T 1
 
2.7%
Other values (2) 2
 
5.4%
Hangul
ValueCountFrequency (%)
장 14
 
5.6%
주 11
 
4.4%
제 11
 
4.4%
아 10
 
4.0%
트 9
 
3.6%
극 8
 
3.2%
이 6
 
2.4%
스 6
 
2.4%
대 6
 
2.4%
터 6
 
2.4%
Other values (88) 165
65.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

등록일자
Date

MISSING 

Distinct30
Distinct (%)90.9%
Missing1
Missing (%)2.9%
Memory size404.0 B
Minimum2001-09-11 00:00:00
Maximum2022-01-27 00:00:00
2023-12-12T11:44:21.738610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:21.918753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

소재지
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T11:44:22.186736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length21.941176
Min length17

Characters and Unicode

Total characters746
Distinct characters76
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

Unique28 ?
Unique (%)82.4%

Sample

1st row제주특별자치도 제주시 동광로 69
2nd row제주특별자치도 제주시 동광로 69
3rd row제주특별자치도 제주시 중앙로 2
4th row제주특별자치도 제주시 제주대학로 102
5th row제주특별자치도 제주시 선덕로8길 12
ValueCountFrequency (%)
제주특별자치도 34
23.0%
제주시 25
 
16.9%
서귀포시 8
 
5.4%
동광로 3
 
2.0%
애월읍 3
 
2.0%
안덕면 3
 
2.0%
98 2
 
1.4%
중앙로 2
 
1.4%
6 2
 
1.4%
번영로 2
 
1.4%
Other values (60) 64
43.2%
2023-12-12T11:44:22.574006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.3%
제 60
 
8.0%
주 60
 
8.0%
도 35
 
4.7%
별 34
 
4.6%
치 34
 
4.6%
특 34
 
4.6%
시 34
 
4.6%
자 34
 
4.6%
로 29
 
3.9%
Other values (66) 278
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
68.9%
Space Separator 114
 
15.3%
Decimal Number 110
 
14.7%
Dash Punctuation 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 60
11.7%
주 60
11.7%
도 35
 
6.8%
별 34
 
6.6%
치 34
 
6.6%
특 34
 
6.6%
시 34
 
6.6%
자 34
 
6.6%
로 29
 
5.6%
서 11
 
2.1%
Other values (54) 149
29.0%
Decimal Number
ValueCountFrequency (%)
2 19
17.3%
1 18
16.4%
5 14
12.7%
6 10
9.1%
9 10
9.1%
8 9
8.2%
3 9
8.2%
0 8
7.3%
7 7
 
6.4%
4 6
 
5.5%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 514
68.9%
Common 232
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 60
11.7%
주 60
11.7%
도 35
 
6.8%
별 34
 
6.6%
치 34
 
6.6%
특 34
 
6.6%
시 34
 
6.6%
자 34
 
6.6%
로 29
 
5.6%
서 11
 
2.1%
Other values (54) 149
29.0%
Common
ValueCountFrequency (%)
114
49.1%
2 19
 
8.2%
1 18
 
7.8%
5 14
 
6.0%
6 10
 
4.3%
9 10
 
4.3%
8 9
 
3.9%
3 9
 
3.9%
- 8
 
3.4%
0 8
 
3.4%
Other values (2) 13
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
68.9%
ASCII 232
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
49.1%
2 19
 
8.2%
1 18
 
7.8%
5 14
 
6.0%
6 10
 
4.3%
9 10
 
4.3%
8 9
 
3.9%
3 9
 
3.9%
- 8
 
3.4%
0 8
 
3.4%
Other values (2) 13
 
5.6%
Hangul
ValueCountFrequency (%)
제 60
11.7%
주 60
11.7%
도 35
 
6.8%
별 34
 
6.6%
치 34
 
6.6%
특 34
 
6.6%
시 34
 
6.6%
자 34
 
6.6%
로 29
 
5.6%
서 11
 
2.1%
Other values (54) 149
29.0%

시설구분
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
민간
23 
공공
11 

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 (%)
민간 23
67.6%
공공 11
32.4%

Length

2023-12-12T11:44:22.703595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:44:22.839953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 23
67.6%
공공 11
32.4%

공연장면적(미터제곱)
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2403.2068
Minimum42
Maximum9664.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T11:44:23.295451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile127.001
Q1336.6675
median1931.025
Q32663.165
95-th percentile9161.8265
Maximum9664.95
Range9622.95
Interquartile range (IQR)2326.4975

Descriptive statistics

Standard deviation2769.6141
Coefficient of variation (CV)1.152466
Kurtosis1.7518298
Mean2403.2068
Median Absolute Deviation (MAD)1564.74
Skewness1.5988939
Sum81709.03
Variance7670762.1
MonotonicityNot monotonic
2023-12-12T11:44:23.411108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5434.0 2
 
5.9%
2992.0 1
 
2.9%
1968.0 1
 
2.9%
362.0 1
 
2.9%
297.88 1
 
2.9%
128.87 1
 
2.9%
1636.0 1
 
2.9%
1820.0 1
 
2.9%
2874.52 1
 
2.9%
498.0 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
42.0 1
2.9%
123.53 1
2.9%
128.87 1
2.9%
141.08 1
2.9%
189.0 1
2.9%
195.0 1
2.9%
297.88 1
2.9%
315.05 1
2.9%
328.89 1
2.9%
360.0 1
2.9%
ValueCountFrequency (%)
9664.95 1
2.9%
9482.79 1
2.9%
8989.0 1
2.9%
7210.0 1
2.9%
5434.0 2
5.9%
2992.0 1
2.9%
2874.52 1
2.9%
2716.96 1
2.9%
2501.78 1
2.9%
2494.0 1
2.9%

무대면적(미터제곱)
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415.64382
Minimum12
Maximum5101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T11:44:23.553415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile21.598
Q166.9
median205.5
Q3338.73
95-th percentile1185.2425
Maximum5101
Range5089
Interquartile range (IQR)271.83

Descriptive statistics

Standard deviation882.17597
Coefficient of variation (CV)2.1224325
Kurtosis25.695288
Mean415.64382
Median Absolute Deviation (MAD)139.55
Skewness4.8376559
Sum14131.89
Variance778234.43
MonotonicityNot monotonic
2023-12-12T11:44:23.718047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
400.0 2
 
5.9%
842.0 1
 
2.9%
1235.0 1
 
2.9%
66.5 1
 
2.9%
15.28 1
 
2.9%
216.0 1
 
2.9%
675.0 1
 
2.9%
123.0 1
 
2.9%
314.0 1
 
2.9%
25.0 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
12.0 1
2.9%
15.28 1
2.9%
25.0 1
2.9%
33.05 1
2.9%
34.2 1
2.9%
40.0 1
2.9%
42.0 1
2.9%
65.0 1
2.9%
66.5 1
2.9%
68.1 1
2.9%
ValueCountFrequency (%)
5101.0 1
2.9%
1235.0 1
2.9%
1158.45 1
2.9%
842.0 1
2.9%
675.0 1
2.9%
575.3 1
2.9%
400.0 2
5.9%
345.6 1
2.9%
318.12 1
2.9%
314.0 1
2.9%

객석수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean532.52941
Minimum28
Maximum1533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T11:44:23.884491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile46.25
Q1136
median426.5
Q3867.75
95-th percentile1318.15
Maximum1533
Range1505
Interquartile range (IQR)731.75

Descriptive statistics

Standard deviation452.26851
Coefficient of variation (CV)0.84928362
Kurtosis-0.81905295
Mean532.52941
Median Absolute Deviation (MAD)356.5
Skewness0.64551076
Sum18106
Variance204546.8
MonotonicityNot monotonic
2023-12-12T11:44:24.043130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
828 1
 
2.9%
992 1
 
2.9%
128 1
 
2.9%
30 1
 
2.9%
383 1
 
2.9%
802 1
 
2.9%
190 1
 
2.9%
993 1
 
2.9%
998 1
 
2.9%
55 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
28 1
2.9%
30 1
2.9%
55 1
2.9%
58 1
2.9%
60 1
2.9%
80 1
2.9%
99 1
2.9%
100 1
2.9%
128 1
2.9%
160 1
2.9%
ValueCountFrequency (%)
1533 1
2.9%
1389 1
2.9%
1280 1
2.9%
1184 1
2.9%
1154 1
2.9%
998 1
2.9%
993 1
2.9%
992 1
2.9%
880 1
2.9%
831 1
2.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T11:44:24.166247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:24.269745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:44:20.344432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:19.721289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:20.049048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:20.460831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:19.818070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:20.158390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:20.581189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:19.938842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:20.241700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:44:24.355300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연장명등록일자소재지시설구분공연장면적(미터제곱)무대면적(미터제곱)객석수
공연장명1.0001.0001.0001.0001.0001.0001.000
등록일자1.0001.0000.9981.0000.0000.2530.899
소재지1.0000.9981.0001.0000.8000.0000.916
시설구분1.0001.0001.0001.0000.3110.5690.738
공연장면적(미터제곱)1.0000.0000.8000.3111.0000.7830.661
무대면적(미터제곱)1.0000.2530.0000.5690.7831.0000.633
객석수1.0000.8990.9160.7380.6610.6331.000
2023-12-12T11:44:24.474710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연장면적(미터제곱)무대면적(미터제곱)객석수시설구분
공연장면적(미터제곱)1.0000.7190.6940.298
무대면적(미터제곱)0.7191.0000.7840.375
객석수0.6940.7841.0000.496
시설구분0.2980.3750.4961.000

Missing values

2023-12-12T11:44:20.755661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:44:20.903667image/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

공연장명등록일자소재지시설구분공연장면적(미터제곱)무대면적(미터제곱)객석수데이터기준일자
0제주도문예회관 대극장2002-12-30제주특별자치도 제주시 동광로 69공공2992.0842.08282022-12-31
1제주도문예회관 소극장2002-12-30제주특별자치도 제주시 동광로 69공공498.065.01702022-12-31
2제주해변공연장2002-12-30제주특별자치도 제주시 중앙로 2공공1995.09185.7911542022-12-31
3제주대학교아라뮤즈홀2009-11-10제주특별자치도 제주시 제주대학로 102공공2067.0287.04482022-12-31
4설문대여성문화센터공연장2010-03-03제주특별자치도 제주시 선덕로8길 12공공2501.78222.914052022-12-31
5제주아트센터2010-05-18제주특별자치도 제주시 오남로 231공공9482.791158.4511842022-12-31
6오백장군갤러리 공연장2015-10-22제주특별자치도 제주시 조천읍 남조로 2023공공360.090.01602022-12-31
7Be IN: (비인)<NA>제주특별자치도 제주시 신산로 82공공2240.31575.32772022-12-31
8한라아트홀(대극장)2001-09-11제주특별자치도 제주시 한라대학로 38민간8989.0345.68312022-12-31
9한라-한화리조트2003-10-10제주특별자치도 제주시 명림로 575-107민간9664.9568.12482022-12-31
공연장명등록일자소재지시설구분공연장면적(미터제곱)무대면적(미터제곱)객석수데이터기준일자
24서귀포예술의전당 소극장2014-06-19제주특별자치도 서귀포시 태평로 270공공5434.0123.01902022-12-31
25㈜이레 아리랑2002-04-25제주특별자치도 서귀포시 표선면 번영로 2564-21민간1820.0400.09932022-12-31
26제주아트서커스2004-01-17제주특별자치도 서귀포시안덕면 동광로 214민간1968.01235.09922022-12-31
27점보빌리지2011-01-07제주특별자치도 서귀포시 안덕면 평화로319번길 31-11민간2874.52314.09982022-12-31
28오션아레나2012-07-13제주특별자치도 서귀포시 성산읍 섭지코지로 95민간2241.075.015332022-12-31
29센트럴 스테이지-야외2017-08-22제주특별자치도 서귀포시 안덕면 신화역사로304번길 98민간195.0195.05002022-12-31
30라바 스테이지-야외2017-08-22제주특별자치도 서귀포시 안덕면 신화역사로304번길 98민간42.042.0282022-12-31
31노형수퍼마켙2005-03-28제주특별자치도 제주시 노형로 89민간1976.67254.474802022-12-31
32오페라인제주 스튜디오2021-10-14제주특별자치도 제주시 애월읍 무수천길 5-5민간189.012.0802022-12-31
33호은아트홀2022-01-27제주특별자치도 제주시 월평9길 2-19민간315.0592.521002022-12-31