Overview

Dataset statistics

Number of variables4
Number of observations6231
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory219.2 KiB
Average record size in memory36.0 B

Variable types

Numeric4

Dataset

Description한국문화예술교육진흥원 홈페이지 연도/월별/일별 회원가입수를 제공합니다. 2003 ~ 2021년까지 데이터를 일별 통계로 제공합니다.
Author한국문화예술교육진흥원
URLhttps://www.data.go.kr/data/15088833/fileData.do

Reproduction

Analysis started2023-12-12 00:37:43.075504
Analysis finished2023-12-12 00:37:45.663402
Duration2.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회원가입연도
Real number (ℝ)

Distinct19
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2012.5764
Minimum2003
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2023-12-12T09:37:45.714665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2005
Q12008
median2013
Q32017
95-th percentile2020
Maximum2021
Range18
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.9901031
Coefficient of variation (CV)0.0024794602
Kurtosis-1.1839731
Mean2012.5764
Median Absolute Deviation (MAD)4
Skewness-0.011376731
Sum12538351
Variance24.901129
MonotonicityIncreasing
2023-12-12T09:37:45.847999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2020 366
 
5.9%
2019 365
 
5.9%
2017 365
 
5.9%
2008 365
 
5.9%
2016 365
 
5.9%
2015 364
 
5.8%
2018 364
 
5.8%
2013 364
 
5.8%
2010 364
 
5.8%
2009 363
 
5.8%
Other values (9) 2585
41.5%
ValueCountFrequency (%)
2003 3
 
< 0.1%
2004 215
3.5%
2005 340
5.5%
2006 354
5.7%
2007 361
5.8%
2008 365
5.9%
2009 363
5.8%
2010 364
5.8%
2011 359
5.8%
2012 352
5.6%
ValueCountFrequency (%)
2021 239
3.8%
2020 366
5.9%
2019 365
5.9%
2018 364
5.8%
2017 365
5.9%
2016 365
5.9%
2015 364
5.8%
2014 362
5.8%
2013 364
5.8%
2012 352
5.6%

회원가입월
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.5078652
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2023-12-12T09:37:45.999199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4204281
Coefficient of variation (CV)0.52558373
Kurtosis-1.1823569
Mean6.5078652
Median Absolute Deviation (MAD)3
Skewness-0.0032998828
Sum40544
Variance11.699328
MonotonicityNot monotonic
2023-12-12T09:37:46.113606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 547
8.8%
8 546
8.8%
5 539
8.7%
6 533
8.6%
3 521
8.4%
1 520
8.3%
10 518
8.3%
12 517
8.3%
4 512
8.2%
9 503
8.1%
Other values (2) 974
15.6%
ValueCountFrequency (%)
1 520
8.3%
2 478
7.7%
3 521
8.4%
4 512
8.2%
5 539
8.7%
6 533
8.6%
7 547
8.8%
8 546
8.8%
9 503
8.1%
10 518
8.3%
ValueCountFrequency (%)
12 517
8.3%
11 496
8.0%
10 518
8.3%
9 503
8.1%
8 546
8.8%
7 547
8.8%
6 533
8.6%
5 539
8.7%
4 512
8.2%
3 521
8.4%

회원가입일
Real number (ℝ)

Distinct31
Distinct (%)0.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean15.730979
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2023-12-12T09:37:46.253562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7931321
Coefficient of variation (CV)0.55896915
Kurtosis-1.1945259
Mean15.730979
Median Absolute Deviation (MAD)8
Skewness0.0077181833
Sum98004
Variance77.319172
MonotonicityNot monotonic
2023-12-12T09:37:46.382573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
23 207
 
3.3%
8 207
 
3.3%
13 207
 
3.3%
20 206
 
3.3%
10 206
 
3.3%
6 206
 
3.3%
16 206
 
3.3%
12 206
 
3.3%
4 206
 
3.3%
27 206
 
3.3%
Other values (21) 4167
66.9%
ValueCountFrequency (%)
1 201
3.2%
2 203
3.3%
3 205
3.3%
4 206
3.3%
5 205
3.3%
6 206
3.3%
7 205
3.3%
8 207
3.3%
9 203
3.3%
10 206
3.3%
ValueCountFrequency (%)
31 119
1.9%
30 186
3.0%
29 192
3.1%
28 204
3.3%
27 206
3.3%
26 204
3.3%
25 205
3.3%
24 205
3.3%
23 207
3.3%
22 204
3.3%

회원가입수
Real number (ℝ)

Distinct280
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.202054
Minimum1
Maximum727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2023-12-12T09:37:46.551702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q334
95-th percentile130.5
Maximum727
Range726
Interquartile range (IQR)26

Descriptive statistics

Standard deviation48.135691
Coefficient of variation (CV)1.4948019
Kurtosis21.720802
Mean32.202054
Median Absolute Deviation (MAD)10
Skewness3.8170782
Sum200651
Variance2317.0447
MonotonicityNot monotonic
2023-12-12T09:37:46.699187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 246
 
3.9%
6 244
 
3.9%
8 238
 
3.8%
4 234
 
3.8%
7 232
 
3.7%
3 225
 
3.6%
9 206
 
3.3%
11 199
 
3.2%
2 191
 
3.1%
10 188
 
3.0%
Other values (270) 4028
64.6%
ValueCountFrequency (%)
1 174
2.8%
2 191
3.1%
3 225
3.6%
4 234
3.8%
5 246
3.9%
6 244
3.9%
7 232
3.7%
8 238
3.8%
9 206
3.3%
10 188
3.0%
ValueCountFrequency (%)
727 1
< 0.1%
475 1
< 0.1%
471 1
< 0.1%
438 1
< 0.1%
423 1
< 0.1%
417 1
< 0.1%
413 1
< 0.1%
374 1
< 0.1%
371 1
< 0.1%
365 1
< 0.1%

Interactions

2023-12-12T09:37:44.956041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:43.387136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.005582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.532401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:45.077630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:43.499145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.130366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.639655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:45.172995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:43.628893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.263643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.745912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:45.262684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:43.838342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.392728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:44.852577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:37:46.812644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원가입연도회원가입월회원가입일회원가입수
회원가입연도1.0000.1080.0000.114
회원가입월0.1081.0000.0000.282
회원가입일0.0000.0001.0000.076
회원가입수0.1140.2820.0761.000
2023-12-12T09:37:46.912021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원가입연도회원가입월회원가입일회원가입수
회원가입연도1.000-0.072-0.0040.415
회원가입월-0.0721.0000.008-0.048
회원가입일-0.0040.0081.000-0.018
회원가입수0.415-0.048-0.0181.000

Missing values

2023-12-12T09:37:45.430107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:37:45.520804image/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.
2023-12-12T09:37:45.613390image/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

회원가입연도회원가입월회원가입일회원가입수
020036201
120036213
220036221
320044232
420044244
520044262
620044271
720044291
820045101
920045123
회원가입연도회원가입월회원가입일회원가입수
6221202181927
6222202182016
6223202182110
6224202182210
6225202182325
6226202182424
6227202182525
6228202182621
6229202182710
6230<NA><NA><NA>11