Overview

Dataset statistics

Number of variables19
Number of observations299
Missing cells378
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.8 KiB
Average record size in memory170.4 B

Variable types

Text1
Numeric18

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 아파트매매 거래현황의 연도별 연도별(면적) 데이터입니다.-(단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068499/fileData.do

Alerts

2006 is highly overall correlated with 2007 and 16 other fieldsHigh correlation
2007 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2008 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2009 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2010 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2011 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2012 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2013 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2014 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2015 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2016 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2017 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2018 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2019 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2020 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2021 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2022 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2023 is highly overall correlated with 2006 and 16 other fieldsHigh correlation
2006 has 24 (8.0%) missing valuesMissing
2007 has 29 (9.7%) missing valuesMissing
2008 has 26 (8.7%) missing valuesMissing
2009 has 25 (8.4%) missing valuesMissing
2010 has 19 (6.4%) missing valuesMissing
2011 has 22 (7.4%) missing valuesMissing
2012 has 20 (6.7%) missing valuesMissing
2013 has 20 (6.7%) missing valuesMissing
2014 has 15 (5.0%) missing valuesMissing
2015 has 18 (6.0%) missing valuesMissing
2016 has 18 (6.0%) missing valuesMissing
2017 has 21 (7.0%) missing valuesMissing
2018 has 20 (6.7%) missing valuesMissing
2019 has 21 (7.0%) missing valuesMissing
2020 has 21 (7.0%) missing valuesMissing
2021 has 20 (6.7%) missing valuesMissing
2022 has 20 (6.7%) missing valuesMissing
2023 has 19 (6.4%) missing valuesMissing
지역 has unique valuesUnique
2010 has 3 (1.0%) zerosZeros
2011 has 3 (1.0%) zerosZeros
2012 has 4 (1.3%) zerosZeros
2013 has 3 (1.0%) zerosZeros
2015 has 3 (1.0%) zerosZeros
2018 has 3 (1.0%) zerosZeros
2021 has 3 (1.0%) zerosZeros
2022 has 3 (1.0%) zerosZeros
2023 has 4 (1.3%) zerosZeros

Reproduction

Analysis started2024-03-23 05:44:01.146822
Analysis finished2024-03-23 05:45:04.485791
Duration1 minute and 3.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-23T14:45:05.168525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.4013378
Min length2

Characters and Unicode

Total characters1914
Distinct characters147
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

Unique299 ?
Unique (%)100.0%

Sample

1st row전국
2nd row서울
3rd row서울 종로구
4th row서울 중구
5th row서울 용산구
ValueCountFrequency (%)
경기 53
 
8.6%
경남 27
 
4.4%
경북 26
 
4.2%
서울 26
 
4.2%
전남 23
 
3.7%
충남 20
 
3.2%
충북 20
 
3.2%
강원 19
 
3.1%
전북 17
 
2.8%
부산 17
 
2.8%
Other values (263) 368
59.7%
2024-03-23T14:45:06.246902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
16.6%
141
 
7.4%
122
 
6.4%
109
 
5.7%
93
 
4.9%
89
 
4.6%
72
 
3.8%
56
 
2.9%
50
 
2.6%
48
 
2.5%
Other values (137) 817
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1559
81.5%
Space Separator 317
 
16.6%
Close Punctuation 19
 
1.0%
Open Punctuation 19
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
141
 
9.0%
122
 
7.8%
109
 
7.0%
93
 
6.0%
89
 
5.7%
72
 
4.6%
56
 
3.6%
50
 
3.2%
48
 
3.1%
47
 
3.0%
Other values (134) 732
47.0%
Space Separator
ValueCountFrequency (%)
317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1559
81.5%
Common 355
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
141
 
9.0%
122
 
7.8%
109
 
7.0%
93
 
6.0%
89
 
5.7%
72
 
4.6%
56
 
3.6%
50
 
3.2%
48
 
3.1%
47
 
3.0%
Other values (134) 732
47.0%
Common
ValueCountFrequency (%)
317
89.3%
) 19
 
5.4%
( 19
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1559
81.5%
ASCII 355
 
18.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
89.3%
) 19
 
5.4%
( 19
 
5.4%
Hangul
ValueCountFrequency (%)
141
 
9.0%
122
 
7.8%
109
 
7.0%
93
 
6.0%
89
 
5.7%
72
 
4.6%
56
 
3.6%
50
 
3.2%
48
 
3.1%
47
 
3.0%
Other values (134) 732
47.0%

2006
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct216
Distinct (%)78.5%
Missing24
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean966.47273
Minimum0
Maximum83554
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:06.506276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q129
median280
Q3706
95-th percentile2427
Maximum83554
Range83554
Interquartile range (IQR)677

Descriptive statistics

Standard deviation5361.1813
Coefficient of variation (CV)5.5471625
Kurtosis209.0902
Mean966.47273
Median Absolute Deviation (MAD)267
Skewness13.894675
Sum265780
Variance28742265
MonotonicityNot monotonic
2024-03-23T14:45:06.769990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 6
 
2.0%
3 6
 
2.0%
7 5
 
1.7%
12 5
 
1.7%
13 5
 
1.7%
38 4
 
1.3%
2 4
 
1.3%
108 4
 
1.3%
8 3
 
1.0%
10 3
 
1.0%
Other values (206) 230
76.9%
(Missing) 24
 
8.0%
ValueCountFrequency (%)
0 2
 
0.7%
1 3
1.0%
2 4
1.3%
3 6
2.0%
4 6
2.0%
5 2
 
0.7%
7 5
1.7%
8 3
1.0%
9 3
1.0%
10 3
1.0%
ValueCountFrequency (%)
83554 1
0.3%
26431 1
0.3%
14330 1
0.3%
5597 1
0.3%
4440 1
0.3%
4365 1
0.3%
4101 1
0.3%
3752 1
0.3%
3396 1
0.3%
3321 1
0.3%

2007
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct201
Distinct (%)74.4%
Missing29
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean756.96667
Minimum1
Maximum65520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:07.236829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q137.75
median206
Q3444.5
95-th percentile2122.1
Maximum65520
Range65519
Interquartile range (IQR)406.75

Descriptive statistics

Standard deviation4156.3658
Coefficient of variation (CV)5.4908175
Kurtosis221.61511
Mean756.96667
Median Absolute Deviation (MAD)187
Skewness14.355789
Sum204381
Variance17275377
MonotonicityNot monotonic
2024-03-23T14:45:07.515430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 6
 
2.0%
7 5
 
1.7%
1 5
 
1.7%
4 4
 
1.3%
19 4
 
1.3%
12 4
 
1.3%
9 4
 
1.3%
3 4
 
1.3%
23 3
 
1.0%
11 3
 
1.0%
Other values (191) 228
76.3%
(Missing) 29
 
9.7%
ValueCountFrequency (%)
1 5
1.7%
2 3
1.0%
3 4
1.3%
4 4
1.3%
5 2
 
0.7%
6 6
2.0%
7 5
1.7%
8 2
 
0.7%
9 4
1.3%
10 1
 
0.3%
ValueCountFrequency (%)
65520 1
0.3%
15038 1
0.3%
7077 1
0.3%
5964 1
0.3%
5462 1
0.3%
4740 1
0.3%
4639 1
0.3%
4404 1
0.3%
3664 1
0.3%
3035 1
0.3%

2008
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct208
Distinct (%)76.2%
Missing26
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean719.09158
Minimum0
Maximum62569
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:07.775465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q140
median207
Q3477
95-th percentile2255.2
Maximum62569
Range62569
Interquartile range (IQR)437

Descriptive statistics

Standard deviation3930.5997
Coefficient of variation (CV)5.4660628
Kurtosis227.88574
Mean719.09158
Median Absolute Deviation (MAD)187
Skewness14.595068
Sum196312
Variance15449614
MonotonicityNot monotonic
2024-03-23T14:45:08.654420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 9
 
3.0%
2 4
 
1.3%
50 4
 
1.3%
6 4
 
1.3%
5 4
 
1.3%
12 4
 
1.3%
13 3
 
1.0%
15 3
 
1.0%
7 3
 
1.0%
286 3
 
1.0%
Other values (198) 232
77.6%
(Missing) 26
 
8.7%
ValueCountFrequency (%)
0 2
 
0.7%
1 3
 
1.0%
2 4
1.3%
3 2
 
0.7%
4 9
3.0%
5 4
1.3%
6 4
1.3%
7 3
 
1.0%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
62569 1
0.3%
13744 1
0.3%
6659 1
0.3%
5278 1
0.3%
5183 1
0.3%
4049 1
0.3%
3897 1
0.3%
3739 1
0.3%
3176 1
0.3%
2777 1
0.3%

2009
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct214
Distinct (%)78.1%
Missing25
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean795.08759
Minimum0
Maximum68305
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:08.988904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q145.5
median220
Q3534
95-th percentile2154.6
Maximum68305
Range68305
Interquartile range (IQR)488.5

Descriptive statistics

Standard deviation4324.0667
Coefficient of variation (CV)5.4384784
Kurtosis220.42664
Mean795.08759
Median Absolute Deviation (MAD)201
Skewness14.307105
Sum217854
Variance18697553
MonotonicityNot monotonic
2024-03-23T14:45:09.248045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 6
 
2.0%
8 5
 
1.7%
5 5
 
1.7%
9 4
 
1.3%
7 4
 
1.3%
64 4
 
1.3%
6 4
 
1.3%
1 4
 
1.3%
3 3
 
1.0%
255 3
 
1.0%
Other values (204) 232
77.6%
(Missing) 25
 
8.4%
ValueCountFrequency (%)
0 2
 
0.7%
1 4
1.3%
2 3
1.0%
3 3
1.0%
4 6
2.0%
5 5
1.7%
6 4
1.3%
7 4
1.3%
8 5
1.7%
9 4
1.3%
ValueCountFrequency (%)
68305 1
0.3%
17977 1
0.3%
8335 1
0.3%
6142 1
0.3%
4799 1
0.3%
3861 1
0.3%
3802 1
0.3%
3643 1
0.3%
3380 1
0.3%
3098 1
0.3%

2010
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct213
Distinct (%)76.1%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean732.84286
Minimum0
Maximum64554
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:09.631232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q133
median183.5
Q3507
95-th percentile2128.15
Maximum64554
Range64554
Interquartile range (IQR)474

Descriptive statistics

Standard deviation4030.0817
Coefficient of variation (CV)5.4992441
Kurtosis228.11556
Mean732.84286
Median Absolute Deviation (MAD)173.5
Skewness14.57083
Sum205196
Variance16241559
MonotonicityNot monotonic
2024-03-23T14:45:09.902957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 6
 
2.0%
14 5
 
1.7%
5 5
 
1.7%
18 4
 
1.3%
6 4
 
1.3%
4 4
 
1.3%
1 4
 
1.3%
3 4
 
1.3%
447 3
 
1.0%
8 3
 
1.0%
Other values (203) 238
79.6%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
0 3
1.0%
1 4
1.3%
2 2
 
0.7%
3 4
1.3%
4 4
1.3%
5 5
1.7%
6 4
1.3%
7 2
 
0.7%
8 3
1.0%
9 3
1.0%
ValueCountFrequency (%)
64554 1
0.3%
16111 1
0.3%
6983 1
0.3%
6599 1
0.3%
5399 1
0.3%
3542 1
0.3%
3348 1
0.3%
3099 1
0.3%
2959 1
0.3%
2797 1
0.3%

2011
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct214
Distinct (%)77.3%
Missing22
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean829.36101
Minimum0
Maximum71921
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:10.157644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q139
median247
Q3550
95-th percentile2273.8
Maximum71921
Range71921
Interquartile range (IQR)511

Descriptive statistics

Standard deviation4482.4838
Coefficient of variation (CV)5.4047438
Kurtosis231.72056
Mean829.36101
Median Absolute Deviation (MAD)227
Skewness14.718749
Sum229733
Variance20092661
MonotonicityNot monotonic
2024-03-23T14:45:10.497152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 6
 
2.0%
9 5
 
1.7%
20 4
 
1.3%
57 4
 
1.3%
10 4
 
1.3%
2 4
 
1.3%
19 4
 
1.3%
4 4
 
1.3%
1 3
 
1.0%
0 3
 
1.0%
Other values (204) 236
78.9%
(Missing) 22
 
7.4%
ValueCountFrequency (%)
0 3
1.0%
1 3
1.0%
2 4
1.3%
3 2
 
0.7%
4 4
1.3%
5 2
 
0.7%
6 3
1.0%
7 2
 
0.7%
8 2
 
0.7%
9 5
1.7%
ValueCountFrequency (%)
71921 1
0.3%
15640 1
0.3%
7010 1
0.3%
6357 1
0.3%
5142 1
0.3%
5137 1
0.3%
4582 1
0.3%
4201 1
0.3%
4098 1
0.3%
3547 1
0.3%

2012
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct214
Distinct (%)76.7%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean650.42294
Minimum0
Maximum56726
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:10.783997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q138.5
median166
Q3426
95-th percentile1849.5
Maximum56726
Range56726
Interquartile range (IQR)387.5

Descriptive statistics

Standard deviation3527.8525
Coefficient of variation (CV)5.4239362
Kurtosis232.16494
Mean650.42294
Median Absolute Deviation (MAD)151
Skewness14.727724
Sum181468
Variance12445744
MonotonicityNot monotonic
2024-03-23T14:45:11.018590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 5
 
1.7%
6 5
 
1.7%
0 4
 
1.3%
8 4
 
1.3%
2 4
 
1.3%
3 4
 
1.3%
4 4
 
1.3%
29 3
 
1.0%
155 3
 
1.0%
5 3
 
1.0%
Other values (204) 240
80.3%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 4
1.3%
1 2
 
0.7%
2 4
1.3%
3 4
1.3%
4 4
1.3%
5 3
1.0%
6 5
1.7%
7 3
1.0%
8 4
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
56726 1
0.3%
12935 1
0.3%
4791 1
0.3%
4672 1
0.3%
4484 1
0.3%
4236 1
0.3%
3757 1
0.3%
3213 1
0.3%
3142 1
0.3%
2953 1
0.3%

2013
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct215
Distinct (%)77.1%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean774.30466
Minimum0
Maximum67364
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:11.284929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q136
median216
Q3552
95-th percentile2035
Maximum67364
Range67364
Interquartile range (IQR)516

Descriptive statistics

Standard deviation4201.284
Coefficient of variation (CV)5.4258798
Kurtosis229.60122
Mean774.30466
Median Absolute Deviation (MAD)199
Skewness14.627757
Sum216031
Variance17650788
MonotonicityNot monotonic
2024-03-23T14:45:11.611551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 9
 
3.0%
5 5
 
1.7%
6 4
 
1.3%
2 4
 
1.3%
1 3
 
1.0%
4 3
 
1.0%
14 3
 
1.0%
0 3
 
1.0%
9 3
 
1.0%
3 3
 
1.0%
Other values (205) 239
79.9%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 3
1.0%
1 3
1.0%
2 4
1.3%
3 3
1.0%
4 3
1.0%
5 5
1.7%
6 4
1.3%
7 2
 
0.7%
9 3
1.0%
10 1
 
0.3%
ValueCountFrequency (%)
67364 1
0.3%
15947 1
0.3%
6627 1
0.3%
6221 1
0.3%
5622 1
0.3%
5576 1
0.3%
3797 1
0.3%
3550 1
0.3%
3247 1
0.3%
3123 1
0.3%

2014
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct227
Distinct (%)79.9%
Missing15
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean954.27465
Minimum0
Maximum84744
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:11.930882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q158.75
median276
Q3684
95-th percentile2269.1
Maximum84744
Range84744
Interquartile range (IQR)625.25

Descriptive statistics

Standard deviation5225.3584
Coefficient of variation (CV)5.4757385
Kurtosis236.11289
Mean954.27465
Median Absolute Deviation (MAD)256.5
Skewness14.846714
Sum271014
Variance27304371
MonotonicityNot monotonic
2024-03-23T14:45:12.212737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 8
 
2.7%
3 7
 
2.3%
13 5
 
1.7%
10 4
 
1.3%
18 4
 
1.3%
8 4
 
1.3%
20 3
 
1.0%
11 3
 
1.0%
26 3
 
1.0%
9 3
 
1.0%
Other values (217) 240
80.3%
(Missing) 15
 
5.0%
ValueCountFrequency (%)
0 2
 
0.7%
2 1
 
0.3%
3 7
2.3%
4 2
 
0.7%
5 8
2.7%
6 1
 
0.3%
7 1
 
0.3%
8 4
1.3%
9 3
 
1.0%
10 4
1.3%
ValueCountFrequency (%)
84744 1
0.3%
18513 1
0.3%
9720 1
0.3%
8048 1
0.3%
7510 1
0.3%
6348 1
0.3%
4905 1
0.3%
4588 1
0.3%
4049 1
0.3%
4015 1
0.3%

2015
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct230
Distinct (%)81.9%
Missing18
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean1060.3915
Minimum0
Maximum93129
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:12.505273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q152
median330
Q3764
95-th percentile2655
Maximum93129
Range93129
Interquartile range (IQR)712

Descriptive statistics

Standard deviation5811.0528
Coefficient of variation (CV)5.4801015
Kurtosis227.77975
Mean1060.3915
Median Absolute Deviation (MAD)309
Skewness14.556434
Sum297970
Variance33768335
MonotonicityNot monotonic
2024-03-23T14:45:12.847043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 5
 
1.7%
19 5
 
1.7%
9 5
 
1.7%
42 4
 
1.3%
12 4
 
1.3%
5 3
 
1.0%
16 3
 
1.0%
8 3
 
1.0%
3 3
 
1.0%
2 3
 
1.0%
Other values (220) 243
81.3%
(Missing) 18
 
6.0%
ValueCountFrequency (%)
0 3
1.0%
1 1
 
0.3%
2 3
1.0%
3 3
1.0%
4 2
 
0.7%
5 3
1.0%
7 2
 
0.7%
8 3
1.0%
9 5
1.7%
10 5
1.7%
ValueCountFrequency (%)
93129 1
0.3%
23581 1
0.3%
12168 1
0.3%
9088 1
0.3%
6977 1
0.3%
5358 1
0.3%
5291 1
0.3%
5018 1
0.3%
3816 1
0.3%
3466 1
0.3%

2016
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct229
Distinct (%)81.5%
Missing18
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean972.35587
Minimum0
Maximum85703
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:13.159585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q154
median297
Q3686
95-th percentile2293
Maximum85703
Range85703
Interquartile range (IQR)632

Descriptive statistics

Standard deviation5379.0518
Coefficient of variation (CV)5.5319786
Kurtosis222.91883
Mean972.35587
Median Absolute Deviation (MAD)271
Skewness14.385361
Sum273232
Variance28934199
MonotonicityNot monotonic
2024-03-23T14:45:13.391595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 6
 
2.0%
10 6
 
2.0%
3 6
 
2.0%
7 5
 
1.7%
12 4
 
1.3%
22 3
 
1.0%
223 3
 
1.0%
46 3
 
1.0%
15 3
 
1.0%
6 3
 
1.0%
Other values (219) 239
79.9%
(Missing) 18
 
6.0%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 1
 
0.3%
3 6
2.0%
4 6
2.0%
6 3
1.0%
7 5
1.7%
8 2
 
0.7%
9 1
 
0.3%
10 6
2.0%
ValueCountFrequency (%)
85703 1
0.3%
24006 1
0.3%
12228 1
0.3%
7752 1
0.3%
5858 1
0.3%
4842 1
0.3%
4270 1
0.3%
3687 1
0.3%
3462 1
0.3%
3202 1
0.3%

2017
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct228
Distinct (%)82.0%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1123.2662
Minimum0
Maximum97813
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:13.648351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q160.25
median347
Q3756
95-th percentile2613.2
Maximum97813
Range97813
Interquartile range (IQR)695.75

Descriptive statistics

Standard deviation6194.1326
Coefficient of variation (CV)5.5143942
Kurtosis217.69111
Mean1123.2662
Median Absolute Deviation (MAD)309.5
Skewness14.213473
Sum312268
Variance38367279
MonotonicityNot monotonic
2024-03-23T14:45:13.931621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 7
 
2.3%
9 5
 
1.7%
15 4
 
1.3%
4 4
 
1.3%
11 3
 
1.0%
20 3
 
1.0%
973 2
 
0.7%
402 2
 
0.7%
63 2
 
0.7%
64 2
 
0.7%
Other values (218) 244
81.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 2
 
0.7%
1 2
 
0.7%
2 2
 
0.7%
3 1
 
0.3%
4 4
1.3%
5 1
 
0.3%
7 7
2.3%
8 1
 
0.3%
9 5
1.7%
10 1
 
0.3%
ValueCountFrequency (%)
97813 1
0.3%
29506 1
0.3%
12772 1
0.3%
7242 1
0.3%
7039 1
0.3%
5889 1
0.3%
5059 1
0.3%
4286 1
0.3%
4049 1
0.3%
3710 1
0.3%

2018
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct228
Distinct (%)81.7%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1152.0215
Minimum0
Maximum100424
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:14.289768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q159
median341
Q3745.5
95-th percentile3105
Maximum100424
Range100424
Interquartile range (IQR)686.5

Descriptive statistics

Standard deviation6411.7774
Coefficient of variation (CV)5.5656751
Kurtosis210.94839
Mean1152.0215
Median Absolute Deviation (MAD)307
Skewness13.984672
Sum321414
Variance41110889
MonotonicityNot monotonic
2024-03-23T14:45:14.652379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5
 
1.7%
7 5
 
1.7%
15 4
 
1.3%
21 4
 
1.3%
16 4
 
1.3%
34 3
 
1.0%
8 3
 
1.0%
78 3
 
1.0%
0 3
 
1.0%
10 3
 
1.0%
Other values (218) 242
80.9%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 3
1.0%
2 1
 
0.3%
3 1
 
0.3%
4 5
1.7%
5 2
 
0.7%
6 1
 
0.3%
7 5
1.7%
8 3
1.0%
9 1
 
0.3%
10 3
1.0%
ValueCountFrequency (%)
100424 1
0.3%
34634 1
0.3%
11979 1
0.3%
6118 1
0.3%
5814 1
0.3%
5015 1
0.3%
4706 1
0.3%
4517 1
0.3%
3953 1
0.3%
3898 1
0.3%

2019
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct229
Distinct (%)82.4%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1058.5252
Minimum0
Maximum92125
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:14.933552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.85
Q141.5
median287.5
Q3718
95-th percentile2767.1
Maximum92125
Range92125
Interquartile range (IQR)676.5

Descriptive statistics

Standard deviation5858.5661
Coefficient of variation (CV)5.5346498
Kurtosis214.51681
Mean1058.5252
Median Absolute Deviation (MAD)267
Skewness14.107767
Sum294270
Variance34322797
MonotonicityNot monotonic
2024-03-23T14:45:15.181942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 6
 
2.0%
14 5
 
1.7%
8 4
 
1.3%
3 4
 
1.3%
31 3
 
1.0%
103 3
 
1.0%
2 3
 
1.0%
15 3
 
1.0%
26 3
 
1.0%
35 2
 
0.7%
Other values (219) 242
80.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 2
 
0.7%
2 3
1.0%
3 4
1.3%
4 1
 
0.3%
5 2
 
0.7%
6 2
 
0.7%
7 2
 
0.7%
8 4
1.3%
9 6
2.0%
10 2
 
0.7%
ValueCountFrequency (%)
92125 1
0.3%
29838 1
0.3%
9460 1
0.3%
6881 1
0.3%
6855 1
0.3%
5306 1
0.3%
5293 1
0.3%
3582 1
0.3%
3501 1
0.3%
3500 1
0.3%

2020
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct234
Distinct (%)84.2%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1361
Minimum0
Maximum118377
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:15.902675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q162.25
median406.5
Q3915.25
95-th percentile3286.9
Maximum118377
Range118377
Interquartile range (IQR)853

Descriptive statistics

Standard deviation7494.5267
Coefficient of variation (CV)5.5066324
Kurtosis217.96226
Mean1361
Median Absolute Deviation (MAD)363.5
Skewness14.227772
Sum378358
Variance56167931
MonotonicityNot monotonic
2024-03-23T14:45:16.150031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 6
 
2.0%
11 4
 
1.3%
3 4
 
1.3%
10 4
 
1.3%
30 4
 
1.3%
9 4
 
1.3%
175 3
 
1.0%
45 3
 
1.0%
16 3
 
1.0%
12 3
 
1.0%
Other values (224) 240
80.3%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%
3 4
1.3%
4 1
 
0.3%
5 2
 
0.7%
6 1
 
0.3%
7 1
 
0.3%
8 6
2.0%
9 4
1.3%
ValueCountFrequency (%)
118377 1
0.3%
36191 1
0.3%
11523 1
0.3%
10167 1
0.3%
9109 1
0.3%
7833 1
0.3%
7101 1
0.3%
5085 1
0.3%
4649 1
0.3%
4439 1
0.3%

2021
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct229
Distinct (%)82.1%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean972.22581
Minimum0
Maximum84859
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:16.422153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q167
median282
Q3666.5
95-th percentile2168.7
Maximum84859
Range84859
Interquartile range (IQR)599.5

Descriptive statistics

Standard deviation5323.6065
Coefficient of variation (CV)5.4756893
Kurtosis224.79152
Mean972.22581
Median Absolute Deviation (MAD)247
Skewness14.472363
Sum271251
Variance28340786
MonotonicityNot monotonic
2024-03-23T14:45:16.702945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171 4
 
1.3%
16 3
 
1.0%
11 3
 
1.0%
13 3
 
1.0%
0 3
 
1.0%
9 3
 
1.0%
5 3
 
1.0%
433 3
 
1.0%
12 3
 
1.0%
7 3
 
1.0%
Other values (219) 248
82.9%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 3
1.0%
1 2
0.7%
2 1
 
0.3%
3 3
1.0%
4 1
 
0.3%
5 3
1.0%
6 2
0.7%
7 3
1.0%
8 1
 
0.3%
9 3
1.0%
ValueCountFrequency (%)
84859 1
0.3%
23565 1
0.3%
7147 1
0.3%
6611 1
0.3%
6290 1
0.3%
5793 1
0.3%
5353 1
0.3%
5068 1
0.3%
4299 1
0.3%
3732 1
0.3%

2022
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct201
Distinct (%)72.0%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean533.49104
Minimum0
Maximum46640
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:17.049567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q143
median130
Q3354.5
95-th percentile1478.9
Maximum46640
Range46640
Interquartile range (IQR)311.5

Descriptive statistics

Standard deviation2907.7987
Coefficient of variation (CV)5.4505109
Kurtosis230.04783
Mean533.49104
Median Absolute Deviation (MAD)109
Skewness14.654166
Sum148844
Variance8455293.3
MonotonicityNot monotonic
2024-03-23T14:45:17.310747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 7
 
2.3%
7 6
 
2.0%
6 5
 
1.7%
21 4
 
1.3%
57 4
 
1.3%
4 4
 
1.3%
9 3
 
1.0%
89 3
 
1.0%
0 3
 
1.0%
1 3
 
1.0%
Other values (191) 237
79.3%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 3
1.0%
1 3
1.0%
2 1
 
0.3%
3 3
1.0%
4 4
1.3%
5 2
 
0.7%
6 5
1.7%
7 6
2.0%
8 1
 
0.3%
9 3
1.0%
ValueCountFrequency (%)
46640 1
0.3%
11409 1
0.3%
4098 1
0.3%
3612 1
0.3%
3329 1
0.3%
3137 1
0.3%
2709 1
0.3%
2521 1
0.3%
2505 1
0.3%
2379 1
0.3%

2023
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct214
Distinct (%)76.4%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean619.00357
Minimum0
Maximum54437
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:45:17.582954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q138.75
median171
Q3378
95-th percentile1758.85
Maximum54437
Range54437
Interquartile range (IQR)339.25

Descriptive statistics

Standard deviation3402.0743
Coefficient of variation (CV)5.4960495
Kurtosis227.3122
Mean619.00357
Median Absolute Deviation (MAD)149
Skewness14.553042
Sum173321
Variance11574109
MonotonicityNot monotonic
2024-03-23T14:45:17.914814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 5
 
1.7%
3 5
 
1.7%
4 4
 
1.3%
6 4
 
1.3%
0 4
 
1.3%
189 3
 
1.0%
141 3
 
1.0%
9 3
 
1.0%
21 3
 
1.0%
142 3
 
1.0%
Other values (204) 243
81.3%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
0 4
1.3%
1 2
 
0.7%
2 2
 
0.7%
3 5
1.7%
4 4
1.3%
5 2
 
0.7%
6 4
1.3%
8 5
1.7%
9 3
1.0%
10 2
 
0.7%
ValueCountFrequency (%)
54437 1
0.3%
14379 1
0.3%
5685 1
0.3%
3962 1
0.3%
3730 1
0.3%
3532 1
0.3%
3199 1
0.3%
2841 1
0.3%
2540 1
0.3%
2477 1
0.3%

Interactions

2024-03-23T14:44:59.828338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:02.708891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:05.418860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:08.471185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:12.335199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:16.055931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:19.783427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:23.311827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:26.208568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:30.158086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:33.908474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:37.205760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:40.523686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:43.735636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:47.602130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:50.304327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:53.169084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:56.216687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:45:00.012242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:02.880358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:44:14.841813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:18.538869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:22.320343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:25.256692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:28.904967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:32.428478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:36.114644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:39.559374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:42.589359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:46.454488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:49.515247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:52.080200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:55.149433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:58.860387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:45:02.190909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:04.698713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:07.624299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:11.342746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:15.093333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:18.817194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:22.501553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:25.395637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:29.069912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:32.621019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:36.279152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:39.695869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:42.751034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:46.670658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:49.629494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:52.245860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:55.298517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:59.010928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:45:02.332149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:04.852819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:07.787734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:11.512496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:15.293357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:19.043115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:22.637754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:25.539714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:29.262519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:32.759673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:36.424591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:39.843340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:42.927570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:46.880018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:49.742907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:52.362749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:55.429919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:59.182487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:45:02.496151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:05.022332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:07.975588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:11.719368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:15.487813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:19.258888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:22.814374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:25.700626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:29.527137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:32.935493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:36.592704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:40.013860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:43.149164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:47.078365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:49.879927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:52.549480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:55.655919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:59.335204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:45:02.645409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:05.173934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:08.144223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:11.912113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:15.681755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:19.428981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:22.988002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:25.838237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:29.738343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:33.098122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:36.832907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:40.171001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:43.356452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:47.254707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:49.990989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:52.723548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:55.793520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:59.474134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:45:02.794510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:05.308025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:08.296556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:12.089945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:15.855942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:19.610098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:23.160074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:26.023556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:29.969332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:33.260188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:37.026481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:40.345813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:43.567343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:47.437086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:50.135436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:52.965257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:56.023878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:44:59.638745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:45:18.127202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20071.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20081.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20091.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20100.9810.9810.9810.9811.0001.0001.0001.0000.9810.9810.9810.9810.9810.9811.0001.0001.0000.981
20111.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20131.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20141.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20151.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20161.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20171.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20181.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20191.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20201.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20211.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20221.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20231.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-23T14:45:18.448155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.9310.9170.9400.9150.9290.9190.9250.9220.9410.9300.9340.9370.9350.9460.8930.8290.910
20070.9311.0000.9570.9370.9410.9450.9300.9320.9210.9240.9100.9070.9050.9170.9240.8980.8690.915
20080.9170.9571.0000.9470.9370.9470.9380.9390.9300.9340.9200.9110.9160.9180.9240.9080.8670.913
20090.9400.9370.9471.0000.9560.9590.9490.9570.9490.9560.9410.9370.9330.9360.9470.9120.8640.933
20100.9150.9410.9370.9561.0000.9660.9580.9550.9330.9320.9120.9080.9150.9260.9320.9190.8910.929
20110.9290.9450.9470.9590.9661.0000.9740.9680.9530.9470.9200.9220.9210.9380.9460.9210.8920.932
20120.9190.9300.9380.9490.9580.9741.0000.9760.9540.9450.9170.9170.9180.9320.9450.9290.8900.925
20130.9250.9320.9390.9570.9550.9680.9761.0000.9640.9620.9350.9330.9280.9410.9490.9150.8760.928
20140.9220.9210.9300.9490.9330.9530.9540.9641.0000.9700.9420.9400.9190.9320.9400.9000.8590.913
20150.9410.9240.9340.9560.9320.9470.9450.9620.9701.0000.9680.9550.9430.9450.9530.9070.8610.918
20160.9300.9100.9200.9410.9120.9200.9170.9350.9420.9681.0000.9660.9440.9430.9390.8990.8420.910
20170.9340.9070.9110.9370.9080.9220.9170.9330.9400.9550.9661.0000.9530.9550.9510.9090.8450.921
20180.9370.9050.9160.9330.9150.9210.9180.9280.9190.9430.9440.9531.0000.9630.9540.9210.8650.920
20190.9350.9170.9180.9360.9260.9380.9320.9410.9320.9450.9430.9550.9631.0000.9640.9120.8600.937
20200.9460.9240.9240.9470.9320.9460.9450.9490.9400.9530.9390.9510.9540.9641.0000.9360.8730.940
20210.8930.8980.9080.9120.9190.9210.9290.9150.9000.9070.8990.9090.9210.9120.9361.0000.9180.931
20220.8290.8690.8670.8640.8910.8920.8900.8760.8590.8610.8420.8450.8650.8600.8730.9181.0000.918
20230.9100.9150.9130.9330.9290.9320.9250.9280.9130.9180.9100.9210.9200.9370.9400.9310.9181.000

Missing values

2024-03-23T14:45:03.048351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:45:03.533413image/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.
2024-03-23T14:45:03.988225image/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

지역200620072008200920102011201220132014201520162017201820192020202120222023
0전국83554655206256968305645547192156726673648474493129857039781310042492125118377848594664054437
1서울143307077665983355399635744846627972012168122281277211979946011523661125215685
2서울 종로구1007913366365044606411798183907792512128
3서울 중구16576651601801131499311020419717414892140865348
4서울 용산구354295140210153135901402272564284623661903012085778
5서울 성동구496142176305144219142244430657540590362290376189102202
6서울 광진구4002751372261061361211101752052162421992462157942143
7서울 동대문구564332235221161262180284431441478422424625398196207608
8서울 중랑구41232321715714829514018842733631134438226527214781124
9서울 성북구874422383397296366229319419597517570678726483267102378
지역200620072008200920102011201220132014201520162017201820192020202120222023
289경남 거창군312856353835414663421185374414311012542
290경남 합천군1375617101010181069798875
291(구)제주286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
292(구)제주 (구)제주시265<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293(구)제주 (구)서귀포시15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
294(구)제주 (구)북제주군3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
295(구)제주 (구)남제주군3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
296제주169265236221400429413459494608567510412314364489322237
297제주 제주시157224172183363363356357392335297350300230256343240170
298제주 서귀포시13406438376657102102273270160112841081468267