Overview

Dataset statistics

Number of variables6
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory51.8 B

Variable types

Numeric1
Categorical2
Text2
DateTime1

Dataset

Description인천광역시 등록 공연장 현황- 인천광역시 관내 등록 공연장 현황에 대한 데이터입니다. 시설명, 운영주체, 등록일, 객석수에 대한 정보를 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104123&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 군구High correlation
군구 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:51:20.732477
Analysis finished2024-01-28 15:51:21.191681
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-29T00:51:21.243441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2024-01-29T00:51:21.342746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

군구
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
중구
10 
서구
10 
미추홀구
7 
남동구
7 
연수구
4 
Other values (3)
9 

Length

Max length4
Median length3
Mean length2.6808511
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 10
21.3%
서구 10
21.3%
미추홀구 7
14.9%
남동구 7
14.9%
연수구 4
 
8.5%
부평구 4
 
8.5%
계양구 3
 
6.4%
동구 2
 
4.3%

Length

2024-01-29T00:51:21.440198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:51:21.537666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 10
21.3%
서구 10
21.3%
미추홀구 7
14.9%
남동구 7
14.9%
연수구 4
 
8.5%
부평구 4
 
8.5%
계양구 3
 
6.4%
동구 2
 
4.3%

시설명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-29T00:51:21.735061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.212766
Min length3

Characters and Unicode

Total characters433
Distinct characters121
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row중구문화회관
2nd row인천학생교육문화회관(대공연장)
3rd row인천학생교육문화회관(소공연장)
4th row한중문화관 공연장
5th row다락 소극장
ValueCountFrequency (%)
공연장 4
 
5.6%
문화예술회관 3
 
4.2%
소극장 3
 
4.2%
서구문화회관 3
 
4.2%
소공연장 2
 
2.8%
엘림아트센터 2
 
2.8%
남동소래아트홀 2
 
2.8%
부평아트센터 2
 
2.8%
청소년수련관 2
 
2.8%
아트센터인천 2
 
2.8%
Other values (46) 47
65.3%
2024-01-29T00:51:22.052790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
5.8%
장 19
 
4.4%
문 18
 
4.2%
관 18
 
4.2%
화 17
 
3.9%
소 14
 
3.2%
트 14
 
3.2%
홀 13
 
3.0%
회 13
 
3.0%
공 12
 
2.8%
Other values (111) 270
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 392
90.5%
Space Separator 25
 
5.8%
Open Punctuation 7
 
1.6%
Close Punctuation 7
 
1.6%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 19
 
4.8%
문 18
 
4.6%
관 18
 
4.6%
화 17
 
4.3%
소 14
 
3.6%
트 14
 
3.6%
홀 13
 
3.3%
회 13
 
3.3%
공 12
 
3.1%
아 12
 
3.1%
Other values (106) 242
61.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
90.5%
Common 41
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 19
 
4.8%
문 18
 
4.6%
관 18
 
4.6%
화 17
 
4.3%
소 14
 
3.6%
트 14
 
3.6%
홀 13
 
3.3%
회 13
 
3.3%
공 12
 
3.1%
아 12
 
3.1%
Other values (106) 242
61.7%
Common
ValueCountFrequency (%)
25
61.0%
( 7
 
17.1%
) 7
 
17.1%
2 1
 
2.4%
1 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
90.5%
ASCII 41
 
9.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
61.0%
( 7
 
17.1%
) 7
 
17.1%
2 1
 
2.4%
1 1
 
2.4%
Hangul
ValueCountFrequency (%)
장 19
 
4.8%
문 18
 
4.6%
관 18
 
4.6%
화 17
 
4.3%
소 14
 
3.6%
트 14
 
3.6%
홀 13
 
3.3%
회 13
 
3.3%
공 12
 
3.1%
아 12
 
3.1%
Other values (106) 242
61.7%

운영
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
공공
33 
민간
14 

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 33
70.2%
민간 14
29.8%

Length

2024-01-29T00:51:22.151238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:51:22.216139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 33
70.2%
민간 14
29.8%

등록일
Date

Distinct37
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2000-03-18 00:00:00
Maximum2021-09-13 00:00:00
2024-01-29T00:51:22.284923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:51:22.383762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

객석수
Text

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-29T00:51:22.545495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9148936
Min length2

Characters and Unicode

Total characters137
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

Unique38 ?
Unique (%)80.9%

Sample

1st row638
2nd row600
3rd row220
4th row200
5th row80
ValueCountFrequency (%)
80 3
 
6.4%
486 2
 
4.3%
160 2
 
4.3%
200 2
 
4.3%
868 1
 
2.1%
323 1
 
2.1%
638 1
 
2.1%
795 1
 
2.1%
430 1
 
2.1%
703 1
 
2.1%
Other values (32) 32
68.1%
2024-01-29T00:51:22.805187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
17.5%
1 18
13.1%
2 17
12.4%
8 13
9.5%
9 13
9.5%
3 12
8.8%
6 11
8.0%
5 10
7.3%
4 9
 
6.6%
7 8
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
98.5%
Other Punctuation 2
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
17.8%
1 18
13.3%
2 17
12.6%
8 13
9.6%
9 13
9.6%
3 12
8.9%
6 11
8.1%
5 10
7.4%
4 9
 
6.7%
7 8
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
17.5%
1 18
13.1%
2 17
12.4%
8 13
9.5%
9 13
9.5%
3 12
8.8%
6 11
8.0%
5 10
7.3%
4 9
 
6.6%
7 8
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
17.5%
1 18
13.1%
2 17
12.4%
8 13
9.5%
9 13
9.5%
3 12
8.8%
6 11
8.0%
5 10
7.3%
4 9
 
6.6%
7 8
 
5.8%

Interactions

2024-01-29T00:51:21.009530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:51:22.881967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구시설명운영등록일객석수
연번1.0000.9521.0000.5140.9720.705
군구0.9521.0001.0000.0000.9930.887
시설명1.0001.0001.0001.0001.0001.000
운영0.5140.0001.0001.0001.0000.333
등록일0.9720.9931.0001.0001.0000.848
객석수0.7050.8871.0000.3330.8481.000
2024-01-29T00:51:22.956087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영군구
운영1.0000.000
군구0.0001.000
2024-01-29T00:51:23.023314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구운영
연번1.0000.7960.347
군구0.7961.0000.000
운영0.3470.0001.000

Missing values

2024-01-29T00:51:21.086682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:51:21.162430image/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

연번군구시설명운영등록일객석수
01중구중구문화회관공공2012-09-18638
12중구인천학생교육문화회관(대공연장)공공2004-12-01600
23중구인천학생교육문화회관(소공연장)공공2004-12-01220
34중구한중문화관 공연장공공2005-06-07200
45중구다락 소극장민간2012-03-2980
56중구인천아트플랫폼공공2013-10-1080
67중구현대크루즈호(선상)민간2014-02-24290
78중구뉴코스모스호1(선상)민간2017-07-13297
89중구뉴코스모스호2(선상)민간2017-07-13102
910중구카니발 스퀘어민간2021-06-25999
연번군구시설명운영등록일객석수
3738서구서구문화회관 대공연장공공2001-07-27951
3839서구서구문화회관 소공연장공공2001-07-27200
3940서구검단복지회관공공2002-12-31202
4041서구서구문화회관 가정생활문화센터공공2001-04-0675
4142서구서구청소년센터공공2006-02-17216
4243서구엘림아트센터 챔버홀민간2016-12-08150
4344서구엘림아트센터 엘림홀민간2016-12-08298
4445서구청라호수공원 야외음악당공공2017-02-02950
4546서구아띠홀민간2020-08-21160
4647서구청라블루 노바홀공공2021-08-20486