Overview

Dataset statistics

Number of variables19
Number of observations2392
Missing cells13027
Missing cells (%)28.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory397.2 KiB
Average record size in memory170.1 B

Variable types

Text1
Numeric18

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 아파트 거래현황의 연도별 거래원인별(동(호)수) 데이터입니다.-(단위 : 동(호)수)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068106/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 742 (31.0%) missing valuesMissing
2007 has 772 (32.3%) missing valuesMissing
2008 has 754 (31.5%) missing valuesMissing
2009 has 748 (31.3%) missing valuesMissing
2010 has 712 (29.8%) missing valuesMissing
2011 has 730 (30.5%) missing valuesMissing
2012 has 718 (30.0%) missing valuesMissing
2013 has 718 (30.0%) missing valuesMissing
2014 has 688 (28.8%) missing valuesMissing
2015 has 700 (29.3%) missing valuesMissing
2016 has 707 (29.6%) missing valuesMissing
2017 has 724 (30.3%) missing valuesMissing
2018 has 718 (30.0%) missing valuesMissing
2019 has 724 (30.3%) missing valuesMissing
2020 has 724 (30.3%) missing valuesMissing
2021 has 718 (30.0%) missing valuesMissing
2022 has 718 (30.0%) missing valuesMissing
2023 has 712 (29.8%) missing valuesMissing
2006 is highly skewed (γ1 = 29.19391767)Skewed
2007 is highly skewed (γ1 = 30.46333513)Skewed
2008 is highly skewed (γ1 = 31.17308599)Skewed
2009 is highly skewed (γ1 = 31.72639227)Skewed
2010 is highly skewed (γ1 = 32.68609081)Skewed
2011 is highly skewed (γ1 = 33.20073514)Skewed
2012 is highly skewed (γ1 = 31.1795793)Skewed
2013 is highly skewed (γ1 = 30.27092852)Skewed
2014 is highly skewed (γ1 = 29.26290971)Skewed
2015 is highly skewed (γ1 = 28.6892712)Skewed
2016 is highly skewed (γ1 = 28.70112431)Skewed
2017 is highly skewed (γ1 = 23.47489536)Skewed
2018 is highly skewed (γ1 = 22.97500211)Skewed
2019 is highly skewed (γ1 = 23.38271736)Skewed
2020 is highly skewed (γ1 = 27.58253507)Skewed
2021 is highly skewed (γ1 = 26.93469106)Skewed
2022 is highly skewed (γ1 = 24.37029898)Skewed
2023 is highly skewed (γ1 = 26.71576392)Skewed
지역_거래원인 has unique valuesUnique
2006 has 313 (13.1%) zerosZeros
2007 has 356 (14.9%) zerosZeros
2008 has 346 (14.5%) zerosZeros
2009 has 349 (14.6%) zerosZeros
2010 has 384 (16.1%) zerosZeros
2011 has 386 (16.1%) zerosZeros
2012 has 372 (15.6%) zerosZeros
2013 has 351 (14.7%) zerosZeros
2014 has 330 (13.8%) zerosZeros
2015 has 305 (12.8%) zerosZeros
2016 has 270 (11.3%) zerosZeros
2017 has 274 (11.5%) zerosZeros
2018 has 262 (11.0%) zerosZeros
2019 has 255 (10.7%) zerosZeros
2020 has 235 (9.8%) zerosZeros
2021 has 242 (10.1%) zerosZeros
2022 has 267 (11.2%) zerosZeros
2023 has 254 (10.6%) zerosZeros

Reproduction

Analysis started2024-03-23 05:38:03.821855
Analysis finished2024-03-23 05:39:17.404522
Duration1 minute and 13.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역_거래원인
Text

UNIQUE 

Distinct2392
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.8 KiB
2024-03-23T14:39:17.681302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length10.526338
Min length5

Characters and Unicode

Total characters25179
Distinct characters154
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

Unique2392 ?
Unique (%)100.0%

Sample

1st row전국_매매
2nd row전국_판결
3rd row전국_교환
4th row전국_증여
5th row전국_분양권
ValueCountFrequency (%)
경기 416
 
8.4%
경남 208
 
4.2%
경북 200
 
4.1%
서울 200
 
4.1%
전남 176
 
3.6%
충북 152
 
3.1%
충남 152
 
3.1%
강원 144
 
2.9%
부산 128
 
2.6%
전북 128
 
2.6%
Other values (2205) 3024
61.4%
2024-03-23T14:39:19.028852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2536
 
10.1%
_ 2392
 
9.5%
1128
 
4.5%
1046
 
4.2%
998
 
4.0%
976
 
3.9%
905
 
3.6%
897
 
3.6%
872
 
3.5%
790
 
3.1%
Other values (144) 12639
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19947
79.2%
Space Separator 2536
 
10.1%
Connector Punctuation 2392
 
9.5%
Close Punctuation 152
 
0.6%
Open Punctuation 152
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1128
 
5.7%
1046
 
5.2%
998
 
5.0%
976
 
4.9%
905
 
4.5%
897
 
4.5%
872
 
4.4%
790
 
4.0%
744
 
3.7%
712
 
3.6%
Other values (140) 10879
54.5%
Space Separator
ValueCountFrequency (%)
2536
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2392
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19947
79.2%
Common 5232
 
20.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1128
 
5.7%
1046
 
5.2%
998
 
5.0%
976
 
4.9%
905
 
4.5%
897
 
4.5%
872
 
4.4%
790
 
4.0%
744
 
3.7%
712
 
3.6%
Other values (140) 10879
54.5%
Common
ValueCountFrequency (%)
2536
48.5%
_ 2392
45.7%
) 152
 
2.9%
( 152
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19947
79.2%
ASCII 5232
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2536
48.5%
_ 2392
45.7%
) 152
 
2.9%
( 152
 
2.9%
Hangul
ValueCountFrequency (%)
1128
 
5.7%
1046
 
5.2%
998
 
5.0%
976
 
4.9%
905
 
4.5%
897
 
4.5%
872
 
4.4%
790
 
4.0%
744
 
3.7%
712
 
3.6%
Other values (140) 10879
54.5%

2006
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct689
Distinct (%)41.8%
Missing742
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean2045.7703
Minimum0
Maximum721283
Zeros313
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:19.323194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median51
Q3488
95-th percentile6597.9
Maximum721283
Range721283
Interquartile range (IQR)486

Descriptive statistics

Standard deviation20303.903
Coefficient of variation (CV)9.9248206
Kurtosis979.6102
Mean2045.7703
Median Absolute Deviation (MAD)51
Skewness29.193918
Sum3375521
Variance4.1224849 × 108
MonotonicityNot monotonic
2024-03-23T14:39:19.611394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 313
 
13.1%
1 94
 
3.9%
2 76
 
3.2%
3 48
 
2.0%
4 39
 
1.6%
5 24
 
1.0%
8 20
 
0.8%
6 15
 
0.6%
11 14
 
0.6%
7 14
 
0.6%
Other values (679) 993
41.5%
(Missing) 742
31.0%
ValueCountFrequency (%)
0 313
13.1%
1 94
 
3.9%
2 76
 
3.2%
3 48
 
2.0%
4 39
 
1.6%
5 24
 
1.0%
6 15
 
0.6%
7 14
 
0.6%
8 20
 
0.8%
9 10
 
0.4%
ValueCountFrequency (%)
721283 1
< 0.1%
247248 1
< 0.1%
230320 1
< 0.1%
141812 1
< 0.1%
81643 1
< 0.1%
56608 1
< 0.1%
47918 1
< 0.1%
37728 1
< 0.1%
34393 1
< 0.1%
31441 1
< 0.1%

2007
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct601
Distinct (%)37.1%
Missing772
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean1500.3519
Minimum0
Maximum539792
Zeros356
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:19.861128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median19
Q3336.75
95-th percentile4775.75
Maximum539792
Range539792
Interquartile range (IQR)335.75

Descriptive statistics

Standard deviation14955.598
Coefficient of variation (CV)9.9680605
Kurtosis1054.2972
Mean1500.3519
Median Absolute Deviation (MAD)19
Skewness30.463335
Sum2430570
Variance2.2366991 × 108
MonotonicityNot monotonic
2024-03-23T14:39:20.291262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 356
 
14.9%
1 85
 
3.6%
2 70
 
2.9%
3 58
 
2.4%
5 31
 
1.3%
4 29
 
1.2%
6 23
 
1.0%
9 21
 
0.9%
7 21
 
0.9%
8 18
 
0.8%
Other values (591) 908
38.0%
(Missing) 772
32.3%
ValueCountFrequency (%)
0 356
14.9%
1 85
 
3.6%
2 70
 
2.9%
3 58
 
2.4%
4 29
 
1.2%
5 31
 
1.3%
6 23
 
1.0%
7 21
 
0.9%
8 18
 
0.8%
9 21
 
0.9%
ValueCountFrequency (%)
539792 1
< 0.1%
177236 1
< 0.1%
140708 1
< 0.1%
65817 1
< 0.1%
44544 1
< 0.1%
44096 1
< 0.1%
41638 1
< 0.1%
36967 1
< 0.1%
32783 1
< 0.1%
27195 1
< 0.1%

2008
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct595
Distinct (%)36.3%
Missing754
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean1569.5586
Minimum0
Maximum582926
Zeros346
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:20.842130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median18
Q3303.75
95-th percentile4932.5
Maximum582926
Range582926
Interquartile range (IQR)302.75

Descriptive statistics

Standard deviation15934.854
Coefficient of variation (CV)10.152443
Kurtosis1098.3875
Mean1569.5586
Median Absolute Deviation (MAD)18
Skewness31.173086
Sum2570937
Variance2.5391956 × 108
MonotonicityNot monotonic
2024-03-23T14:39:21.234783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 346
 
14.5%
1 102
 
4.3%
2 64
 
2.7%
3 49
 
2.0%
4 38
 
1.6%
7 25
 
1.0%
5 24
 
1.0%
8 22
 
0.9%
6 21
 
0.9%
10 20
 
0.8%
Other values (585) 927
38.8%
(Missing) 754
31.5%
ValueCountFrequency (%)
0 346
14.5%
1 102
 
4.3%
2 64
 
2.7%
3 49
 
2.0%
4 38
 
1.6%
5 24
 
1.0%
6 21
 
0.9%
7 25
 
1.0%
8 22
 
0.9%
9 19
 
0.8%
ValueCountFrequency (%)
582926 1
< 0.1%
189951 1
< 0.1%
133274 1
< 0.1%
63347 1
< 0.1%
48959 1
< 0.1%
47737 1
< 0.1%
45372 1
< 0.1%
40132 1
< 0.1%
33489 1
< 0.1%
32177 1
< 0.1%

2009
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct599
Distinct (%)36.4%
Missing748
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean1654.9361
Minimum0
Maximum632258
Zeros349
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:21.524387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q3329
95-th percentile5812.55
Maximum632258
Range632258
Interquartile range (IQR)328

Descriptive statistics

Standard deviation17102.678
Coefficient of variation (CV)10.334343
Kurtosis1136.4331
Mean1654.9361
Median Absolute Deviation (MAD)16
Skewness31.726392
Sum2720715
Variance2.9250161 × 108
MonotonicityNot monotonic
2024-03-23T14:39:21.818512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 349
 
14.6%
1 78
 
3.3%
2 73
 
3.1%
3 62
 
2.6%
6 39
 
1.6%
4 38
 
1.6%
8 30
 
1.3%
5 30
 
1.3%
7 25
 
1.0%
10 24
 
1.0%
Other values (589) 896
37.5%
(Missing) 748
31.3%
ValueCountFrequency (%)
0 349
14.6%
1 78
 
3.3%
2 73
 
3.1%
3 62
 
2.6%
4 38
 
1.6%
5 30
 
1.3%
6 39
 
1.6%
7 25
 
1.0%
8 30
 
1.3%
9 19
 
0.8%
ValueCountFrequency (%)
632258 1
< 0.1%
174601 1
< 0.1%
150327 1
< 0.1%
79042 1
< 0.1%
61878 1
< 0.1%
57646 1
< 0.1%
48442 1
< 0.1%
34355 1
< 0.1%
33373 1
< 0.1%
32732 1
< 0.1%

2010
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct597
Distinct (%)35.5%
Missing712
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean1469.5708
Minimum0
Maximum580910
Zeros384
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:22.065348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q3300
95-th percentile4655.7
Maximum580910
Range580910
Interquartile range (IQR)299

Descriptive statistics

Standard deviation15407.825
Coefficient of variation (CV)10.484575
Kurtosis1200.5883
Mean1469.5708
Median Absolute Deviation (MAD)12
Skewness32.686091
Sum2468879
Variance2.3740108 × 108
MonotonicityNot monotonic
2024-03-23T14:39:22.314019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
16.1%
1 97
 
4.1%
2 80
 
3.3%
4 54
 
2.3%
3 54
 
2.3%
5 34
 
1.4%
7 26
 
1.1%
6 23
 
1.0%
8 22
 
0.9%
12 19
 
0.8%
Other values (587) 887
37.1%
(Missing) 712
29.8%
ValueCountFrequency (%)
0 384
16.1%
1 97
 
4.1%
2 80
 
3.3%
3 54
 
2.3%
4 54
 
2.3%
5 34
 
1.4%
6 23
 
1.0%
7 26
 
1.1%
8 22
 
0.9%
9 17
 
0.7%
ValueCountFrequency (%)
580910 1
< 0.1%
156841 1
< 0.1%
105537 1
< 0.1%
67149 1
< 0.1%
65146 1
< 0.1%
60312 1
< 0.1%
46672 1
< 0.1%
34250 1
< 0.1%
33777 1
< 0.1%
31675 1
< 0.1%

2011
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct588
Distinct (%)35.4%
Missing730
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean1739.4314
Minimum0
Maximum705303
Zeros386
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:22.676894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q3280.5
95-th percentile5523.6
Maximum705303
Range705303
Interquartile range (IQR)279.5

Descriptive statistics

Standard deviation18650.921
Coefficient of variation (CV)10.722424
Kurtosis1227.1149
Mean1739.4314
Median Absolute Deviation (MAD)13
Skewness33.200735
Sum2890935
Variance3.4785685 × 108
MonotonicityNot monotonic
2024-03-23T14:39:23.058265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 386
16.1%
1 88
 
3.7%
2 73
 
3.1%
3 63
 
2.6%
4 42
 
1.8%
5 37
 
1.5%
7 34
 
1.4%
8 22
 
0.9%
10 21
 
0.9%
6 18
 
0.8%
Other values (578) 878
36.7%
(Missing) 730
30.5%
ValueCountFrequency (%)
0 386
16.1%
1 88
 
3.7%
2 73
 
3.1%
3 63
 
2.6%
4 42
 
1.8%
5 37
 
1.5%
6 18
 
0.8%
7 34
 
1.4%
8 22
 
0.9%
9 11
 
0.5%
ValueCountFrequency (%)
705303 1
< 0.1%
164545 1
< 0.1%
156134 1
< 0.1%
63622 1
< 0.1%
55356 1
< 0.1%
55148 1
< 0.1%
51434 1
< 0.1%
44508 1
< 0.1%
44495 1
< 0.1%
34292 1
< 0.1%

2012
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct598
Distinct (%)35.7%
Missing718
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean1365.2557
Minimum0
Maximum503587
Zeros372
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:23.385597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q3309
95-th percentile4465.85
Maximum503587
Range503587
Interquartile range (IQR)308

Descriptive statistics

Standard deviation13697.802
Coefficient of variation (CV)10.03314
Kurtosis1100.3847
Mean1365.2557
Median Absolute Deviation (MAD)16
Skewness31.179579
Sum2285438
Variance1.8762978 × 108
MonotonicityNot monotonic
2024-03-23T14:39:23.744301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 372
 
15.6%
2 87
 
3.6%
1 78
 
3.3%
4 44
 
1.8%
3 35
 
1.5%
5 29
 
1.2%
6 28
 
1.2%
8 27
 
1.1%
7 23
 
1.0%
9 21
 
0.9%
Other values (588) 930
38.9%
(Missing) 718
30.0%
ValueCountFrequency (%)
0 372
15.6%
1 78
 
3.3%
2 87
 
3.6%
3 35
 
1.5%
4 44
 
1.8%
5 29
 
1.2%
6 28
 
1.2%
7 23
 
1.0%
8 27
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
503587 1
< 0.1%
179396 1
< 0.1%
105086 1
< 0.1%
44771 1
< 0.1%
40671 1
< 0.1%
40345 1
< 0.1%
40340 1
< 0.1%
34998 1
< 0.1%
34187 1
< 0.1%
33439 1
< 0.1%

2013
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct602
Distinct (%)36.0%
Missing718
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean1674.1625
Minimum0
Maximum604331
Zeros351
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:24.052588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median18
Q3296.25
95-th percentile5625.45
Maximum604331
Range604331
Interquartile range (IQR)295.25

Descriptive statistics

Standard deviation16698.365
Coefficient of variation (CV)9.9741604
Kurtosis1041.1569
Mean1674.1625
Median Absolute Deviation (MAD)18
Skewness30.270929
Sum2802548
Variance2.788354 × 108
MonotonicityNot monotonic
2024-03-23T14:39:24.335654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 351
 
14.7%
1 104
 
4.3%
2 65
 
2.7%
3 52
 
2.2%
5 42
 
1.8%
6 32
 
1.3%
4 26
 
1.1%
7 26
 
1.1%
8 24
 
1.0%
15 19
 
0.8%
Other values (592) 933
39.0%
(Missing) 718
30.0%
ValueCountFrequency (%)
0 351
14.7%
1 104
 
4.3%
2 65
 
2.7%
3 52
 
2.2%
4 26
 
1.1%
5 42
 
1.8%
6 32
 
1.3%
7 26
 
1.1%
8 24
 
1.0%
9 16
 
0.7%
ValueCountFrequency (%)
604331 1
< 0.1%
233209 1
< 0.1%
151895 1
< 0.1%
68702 1
< 0.1%
46684 1
< 0.1%
45371 1
< 0.1%
40986 1
< 0.1%
39038 1
< 0.1%
36177 1
< 0.1%
33577 1
< 0.1%

2014
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct635
Distinct (%)37.3%
Missing688
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean2013.6174
Minimum0
Maximum708950
Zeros330
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:24.613714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q3401.75
95-th percentile6462.85
Maximum708950
Range708950
Interquartile range (IQR)399.75

Descriptive statistics

Standard deviation19936.04
Coefficient of variation (CV)9.9006101
Kurtosis973.24844
Mean2013.6174
Median Absolute Deviation (MAD)21
Skewness29.26291
Sum3431204
Variance3.9744571 × 108
MonotonicityNot monotonic
2024-03-23T14:39:24.927514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
 
13.8%
1 85
 
3.6%
2 78
 
3.3%
3 54
 
2.3%
4 41
 
1.7%
5 30
 
1.3%
7 29
 
1.2%
6 28
 
1.2%
8 26
 
1.1%
12 19
 
0.8%
Other values (625) 984
41.1%
(Missing) 688
28.8%
ValueCountFrequency (%)
0 330
13.8%
1 85
 
3.6%
2 78
 
3.3%
3 54
 
2.3%
4 41
 
1.7%
5 30
 
1.3%
6 28
 
1.2%
7 29
 
1.2%
8 26
 
1.1%
9 14
 
0.6%
ValueCountFrequency (%)
708950 1
< 0.1%
323362 1
< 0.1%
187288 1
< 0.1%
91696 1
< 0.1%
57270 1
< 0.1%
53621 1
< 0.1%
46005 1
< 0.1%
40390 1
< 0.1%
40379 1
< 0.1%
37270 1
< 0.1%

2015
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct646
Distinct (%)38.2%
Missing700
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean2314.7896
Minimum0
Maximum808486
Zeros305
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:25.250815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q3427.5
95-th percentile7522.9
Maximum808486
Range808486
Interquartile range (IQR)425.5

Descriptive statistics

Standard deviation22997.899
Coefficient of variation (CV)9.9352008
Kurtosis939.27085
Mean2314.7896
Median Absolute Deviation (MAD)23
Skewness28.689271
Sum3916624
Variance5.2890338 × 108
MonotonicityNot monotonic
2024-03-23T14:39:25.609020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 305
 
12.8%
1 79
 
3.3%
2 76
 
3.2%
4 51
 
2.1%
3 46
 
1.9%
5 46
 
1.9%
7 27
 
1.1%
9 26
 
1.1%
11 22
 
0.9%
8 21
 
0.9%
Other values (636) 993
41.5%
(Missing) 700
29.3%
ValueCountFrequency (%)
0 305
12.8%
1 79
 
3.3%
2 76
 
3.2%
3 46
 
1.9%
4 51
 
2.1%
5 46
 
1.9%
6 18
 
0.8%
7 27
 
1.1%
8 21
 
0.9%
9 26
 
1.1%
ValueCountFrequency (%)
808486 1
< 0.1%
374033 1
< 0.1%
222006 1
< 0.1%
131413 1
< 0.1%
71126 1
< 0.1%
68482 1
< 0.1%
53738 1
< 0.1%
53043 1
< 0.1%
41128 1
< 0.1%
37774 1
< 0.1%

2016
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct779
Distinct (%)46.2%
Missing707
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean2144.305
Minimum0
Maximum689091
Zeros270
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:25.930056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median70
Q3826
95-th percentile6806
Maximum689091
Range689091
Interquartile range (IQR)823

Descriptive statistics

Standard deviation19348.778
Coefficient of variation (CV)9.0233328
Kurtosis964.69368
Mean2144.305
Median Absolute Deviation (MAD)70
Skewness28.701124
Sum3613154
Variance3.7437521 × 108
MonotonicityNot monotonic
2024-03-23T14:39:26.611608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 270
 
11.3%
1 85
 
3.6%
2 65
 
2.7%
3 36
 
1.5%
5 34
 
1.4%
4 31
 
1.3%
7 25
 
1.0%
6 23
 
1.0%
9 19
 
0.8%
8 15
 
0.6%
Other values (769) 1082
45.2%
(Missing) 707
29.6%
ValueCountFrequency (%)
0 270
11.3%
1 85
 
3.6%
2 65
 
2.7%
3 36
 
1.5%
4 31
 
1.3%
5 34
 
1.4%
6 23
 
1.0%
7 25
 
1.0%
8 15
 
0.6%
9 19
 
0.8%
ValueCountFrequency (%)
689091 1
< 0.1%
228197 1
< 0.1%
190324 1
< 0.1%
169387 1
< 0.1%
122606 1
< 0.1%
68480 1
< 0.1%
61377 1
< 0.1%
46920 1
< 0.1%
40152 1
< 0.1%
39959 1
< 0.1%

2017
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct791
Distinct (%)47.4%
Missing724
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean2474.2212
Minimum0
Maximum611154
Zeros274
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:26.839574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median87
Q31066.5
95-th percentile7551.1
Maximum611154
Range611154
Interquartile range (IQR)1063.5

Descriptive statistics

Standard deviation20457.208
Coefficient of variation (CV)8.2681404
Kurtosis624.81511
Mean2474.2212
Median Absolute Deviation (MAD)87
Skewness23.474895
Sum4127001
Variance4.1849737 × 108
MonotonicityNot monotonic
2024-03-23T14:39:27.117852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 274
 
11.5%
1 80
 
3.3%
2 57
 
2.4%
3 39
 
1.6%
4 36
 
1.5%
5 27
 
1.1%
8 23
 
1.0%
7 19
 
0.8%
9 19
 
0.8%
6 18
 
0.8%
Other values (781) 1076
45.0%
(Missing) 724
30.3%
ValueCountFrequency (%)
0 274
11.5%
1 80
 
3.3%
2 57
 
2.4%
3 39
 
1.6%
4 36
 
1.5%
5 27
 
1.1%
6 18
 
0.8%
7 19
 
0.8%
8 23
 
1.0%
9 19
 
0.8%
ValueCountFrequency (%)
611154 1
< 0.1%
458368 1
< 0.1%
174951 1
< 0.1%
165200 1
< 0.1%
147424 1
< 0.1%
107897 1
< 0.1%
56231 1
< 0.1%
47652 1
< 0.1%
42468 1
< 0.1%
41018 1
< 0.1%

2018
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct806
Distinct (%)48.1%
Missing718
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean2522.5478
Minimum0
Maximum563472
Zeros262
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:27.446264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median89.5
Q31072.75
95-th percentile7082.55
Maximum563472
Range563472
Interquartile range (IQR)1069.75

Descriptive statistics

Standard deviation21258.925
Coefficient of variation (CV)8.427561
Kurtosis584.19858
Mean2522.5478
Median Absolute Deviation (MAD)89.5
Skewness22.975002
Sum4222745
Variance4.5194191 × 108
MonotonicityNot monotonic
2024-03-23T14:39:27.790685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 262
 
11.0%
1 72
 
3.0%
2 71
 
3.0%
3 39
 
1.6%
5 30
 
1.3%
10 22
 
0.9%
4 21
 
0.9%
7 19
 
0.8%
6 19
 
0.8%
16 17
 
0.7%
Other values (796) 1102
46.1%
(Missing) 718
30.0%
ValueCountFrequency (%)
0 262
11.0%
1 72
 
3.0%
2 71
 
3.0%
3 39
 
1.6%
4 21
 
0.9%
5 30
 
1.3%
6 19
 
0.8%
7 19
 
0.8%
8 17
 
0.7%
9 16
 
0.7%
ValueCountFrequency (%)
563472 1
< 0.1%
561841 1
< 0.1%
212879 1
< 0.1%
167536 1
< 0.1%
127702 1
< 0.1%
96622 1
< 0.1%
65438 1
< 0.1%
47797 1
< 0.1%
45388 1
< 0.1%
39400 1
< 0.1%

2019
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct770
Distinct (%)46.2%
Missing724
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean2331.7746
Minimum0
Maximum545061
Zeros255
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:28.094994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median81
Q3917.25
95-th percentile6702.75
Maximum545061
Range545061
Interquartile range (IQR)914.25

Descriptive statistics

Standard deviation19719.13
Coefficient of variation (CV)8.4567049
Kurtosis603.75777
Mean2331.7746
Median Absolute Deviation (MAD)81
Skewness23.382717
Sum3889400
Variance3.8884407 × 108
MonotonicityNot monotonic
2024-03-23T14:39:28.424237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 255
 
10.7%
1 81
 
3.4%
2 53
 
2.2%
3 48
 
2.0%
4 35
 
1.5%
5 31
 
1.3%
6 24
 
1.0%
8 17
 
0.7%
7 15
 
0.6%
12 15
 
0.6%
Other values (760) 1094
45.7%
(Missing) 724
30.3%
ValueCountFrequency (%)
0 255
10.7%
1 81
 
3.4%
2 53
 
2.2%
3 48
 
2.0%
4 35
 
1.5%
5 31
 
1.3%
6 24
 
1.0%
7 15
 
0.6%
8 17
 
0.7%
9 12
 
0.5%
ValueCountFrequency (%)
545061 1
< 0.1%
504807 1
< 0.1%
193890 1
< 0.1%
142044 1
< 0.1%
100847 1
< 0.1%
71734 1
< 0.1%
64390 1
< 0.1%
42878 1
< 0.1%
42463 1
< 0.1%
40193 1
< 0.1%

2020
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct819
Distinct (%)49.1%
Missing724
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean3016.6583
Minimum0
Maximum934078
Zeros235
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:28.814215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median101
Q31139
95-th percentile9432.05
Maximum934078
Range934078
Interquartile range (IQR)1136

Descriptive statistics

Standard deviation27086.071
Coefficient of variation (CV)8.9788331
Kurtosis881.49377
Mean3016.6583
Median Absolute Deviation (MAD)101
Skewness27.582535
Sum5031786
Variance7.3365524 × 108
MonotonicityNot monotonic
2024-03-23T14:39:29.089907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 235
 
9.8%
1 73
 
3.1%
2 67
 
2.8%
3 44
 
1.8%
6 29
 
1.2%
4 29
 
1.2%
5 26
 
1.1%
7 23
 
1.0%
11 18
 
0.8%
10 17
 
0.7%
Other values (809) 1107
46.3%
(Missing) 724
30.3%
ValueCountFrequency (%)
0 235
9.8%
1 73
 
3.1%
2 67
 
2.8%
3 44
 
1.8%
4 29
 
1.2%
5 26
 
1.1%
6 29
 
1.2%
7 23
 
1.0%
8 15
 
0.6%
9 13
 
0.5%
ValueCountFrequency (%)
934078 1
< 0.1%
426789 1
< 0.1%
285246 1
< 0.1%
136002 1
< 0.1%
119513 1
< 0.1%
93784 1
< 0.1%
91866 1
< 0.1%
80853 1
< 0.1%
62122 1
< 0.1%
58235 1
< 0.1%

2021
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct760
Distinct (%)45.4%
Missing718
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean2246.172
Minimum0
Maximum669182
Zeros242
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:29.358708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median88
Q3799.75
95-th percentile6934.7
Maximum669182
Range669182
Interquartile range (IQR)796.75

Descriptive statistics

Standard deviation19837.114
Coefficient of variation (CV)8.8315203
Kurtosis832.52637
Mean2246.172
Median Absolute Deviation (MAD)88
Skewness26.934691
Sum3760092
Variance3.9351109 × 108
MonotonicityNot monotonic
2024-03-23T14:39:29.643512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 242
 
10.1%
1 92
 
3.8%
2 46
 
1.9%
3 44
 
1.8%
4 31
 
1.3%
5 25
 
1.0%
6 22
 
0.9%
8 22
 
0.9%
7 20
 
0.8%
10 18
 
0.8%
Other values (750) 1112
46.5%
(Missing) 718
30.0%
ValueCountFrequency (%)
0 242
10.1%
1 92
 
3.8%
2 46
 
1.9%
3 44
 
1.8%
4 31
 
1.3%
5 25
 
1.0%
6 22
 
0.9%
7 20
 
0.8%
8 22
 
0.9%
9 16
 
0.7%
ValueCountFrequency (%)
669182 1
< 0.1%
361324 1
< 0.1%
178793 1
< 0.1%
113919 1
< 0.1%
78418 1
< 0.1%
63881 1
< 0.1%
58746 1
< 0.1%
49751 1
< 0.1%
46597 1
< 0.1%
44809 1
< 0.1%

2022
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct688
Distinct (%)41.1%
Missing718
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean1236.8196
Minimum0
Maximum298581
Zeros267
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:30.004514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median46
Q3432.25
95-th percentile3729.25
Maximum298581
Range298581
Interquartile range (IQR)428.25

Descriptive statistics

Standard deviation10428.121
Coefficient of variation (CV)8.4314001
Kurtosis652.46163
Mean1236.8196
Median Absolute Deviation (MAD)46
Skewness24.370299
Sum2070436
Variance1.087457 × 108
MonotonicityNot monotonic
2024-03-23T14:39:30.346245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 267
 
11.2%
1 76
 
3.2%
2 46
 
1.9%
4 36
 
1.5%
5 33
 
1.4%
6 31
 
1.3%
3 29
 
1.2%
7 26
 
1.1%
11 22
 
0.9%
8 21
 
0.9%
Other values (678) 1087
45.4%
(Missing) 718
30.0%
ValueCountFrequency (%)
0 267
11.2%
1 76
 
3.2%
2 46
 
1.9%
3 29
 
1.2%
4 36
 
1.5%
5 33
 
1.4%
6 31
 
1.3%
7 26
 
1.1%
8 21
 
0.9%
9 13
 
0.5%
ValueCountFrequency (%)
298581 1
< 0.1%
267738 1
< 0.1%
81381 1
< 0.1%
57959 1
< 0.1%
48575 1
< 0.1%
32031 1
< 0.1%
31323 1
< 0.1%
29914 1
< 0.1%
22387 1
< 0.1%
22311 1
< 0.1%

2023
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct683
Distinct (%)40.7%
Missing712
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean1395.1661
Minimum0
Maximum411812
Zeros254
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T14:39:30.678633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median51
Q3473.25
95-th percentile4295.95
Maximum411812
Range411812
Interquartile range (IQR)469.25

Descriptive statistics

Standard deviation12283.192
Coefficient of variation (CV)8.8041075
Kurtosis818.64495
Mean1395.1661
Median Absolute Deviation (MAD)51
Skewness26.715764
Sum2343879
Variance1.5087681 × 108
MonotonicityNot monotonic
2024-03-23T14:39:31.041761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 254
 
10.6%
1 62
 
2.6%
2 45
 
1.9%
3 34
 
1.4%
6 28
 
1.2%
5 28
 
1.2%
4 27
 
1.1%
10 24
 
1.0%
7 24
 
1.0%
9 21
 
0.9%
Other values (673) 1133
47.4%
(Missing) 712
29.8%
ValueCountFrequency (%)
0 254
10.6%
1 62
 
2.6%
2 45
 
1.9%
3 34
 
1.4%
4 27
 
1.1%
5 28
 
1.2%
6 28
 
1.2%
7 24
 
1.0%
8 20
 
0.8%
9 21
 
0.9%
ValueCountFrequency (%)
411812 1
< 0.1%
230804 1
< 0.1%
104350 1
< 0.1%
70274 1
< 0.1%
50844 1
< 0.1%
39596 1
< 0.1%
39148 1
< 0.1%
36439 1
< 0.1%
30563 1
< 0.1%
27031 1
< 0.1%

Interactions

2024-03-23T14:39:12.190522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:06.845773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:10.848783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:14.277501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:17.739726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:21.423341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:25.090728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:28.580506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:32.681853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:40.263220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:51.976762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:56.116670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:59.647064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:03.800356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:21.627416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:28.817350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:56.412472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:39:04.037778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:29.010042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:33.029983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:36.908281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:44.794340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:48.804607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:56.660282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:59.971938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:04.294884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:38:50.231282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:54.110903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:58.356532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:01.715964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:06.187560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:10.514037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:14.578046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:09.310268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:13.017740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:16.383826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:20.249796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:23.772227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:27.152627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:31.274726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:35.016248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:38.909006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:42.960370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:46.770527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:50.412765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:54.677320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:58.556662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:02.053583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:06.485764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:10.793461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:14.765270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:09.487923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:13.250089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:16.565339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:20.414614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:23.948368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:27.331507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:31.487651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:35.205102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:39.136869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:43.130943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:46.969498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:50.675366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:54.879329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:58.732637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:02.330355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:06.765852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:10.998852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:14.906515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:09.720413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:13.416940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:16.719217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:20.572429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:24.141644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:27.573462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:31.697160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:35.468467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:39.314714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:43.333360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:47.209956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:50.998029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:55.029510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:58.879318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:02.567355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:06.943690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:11.204621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:15.076659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:09.931964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:13.615763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:16.976115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:20.748710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:24.328061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:27.790859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:31.953904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:35.663386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:39.511008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:43.533455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:47.385432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:51.235335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:55.189176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:59.018444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:02.830383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:07.642014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:11.451491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:15.352569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:10.172180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:13.827478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:17.150191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:20.918675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:24.519825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:28.048066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:32.197839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:35.849095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:39.688935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:43.745222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:47.550286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:51.399083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:55.341094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:59.158509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:03.062991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:07.876580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:11.603252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:15.633437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:10.443121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:13.991589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:17.372289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:21.091286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:24.733304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:28.232891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:32.361507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:36.051097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:39.894321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:43.969487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:47.733403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:51.609993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:55.589096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:59.318464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:03.347516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:08.137975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:11.789162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:15.905163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:10.664962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:14.135636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:17.574680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:21.266446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:24.912169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:28.414604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:32.538551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:36.283258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:40.071061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:44.199130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:47.970433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:51.798149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:55.918591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:38:59.476281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:03.600667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:08.384490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:11.981837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:39:31.277305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.9070.9070.9960.9611.0000.9820.9070.9070.9071.0001.0000.9960.9961.0000.9820.7631.000
20070.9071.0001.0001.0000.8751.0001.0001.0001.0001.0001.0001.0000.9960.9961.0000.9820.7631.000
20080.9071.0001.0001.0000.8751.0001.0001.0001.0001.0001.0001.0000.9960.9961.0000.9820.7631.000
20090.9961.0001.0001.0000.9611.0000.9821.0001.0001.0001.0001.0000.9960.9961.0000.9820.7631.000
20100.9610.8750.8750.9611.0000.8320.9900.8750.8750.8750.7630.7630.7630.7630.7630.7630.9850.978
20111.0001.0001.0001.0000.8321.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9781.000
20120.9821.0001.0000.9820.9901.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9781.000
20130.9071.0001.0001.0000.8751.0001.0001.0001.0001.0001.0001.0000.9960.9961.0000.9820.7631.000
20140.9071.0001.0001.0000.8751.0001.0001.0001.0001.0001.0001.0000.9960.9961.0000.9820.7631.000
20150.9071.0001.0001.0000.8751.0001.0001.0001.0001.0001.0001.0000.9960.9961.0000.9820.7631.000
20161.0001.0001.0001.0000.7631.0001.0001.0001.0001.0001.0000.9990.9790.9570.9910.9790.9750.986
20171.0001.0001.0001.0000.7631.0001.0001.0001.0001.0000.9991.0000.9790.9630.9930.9790.9820.991
20180.9960.9960.9960.9960.7631.0001.0000.9960.9960.9960.9790.9791.0000.9960.9650.9690.9790.969
20190.9960.9960.9960.9960.7631.0001.0000.9960.9960.9960.9570.9630.9961.0000.9870.9840.9780.984
20201.0001.0001.0001.0000.7631.0001.0001.0001.0001.0000.9910.9930.9650.9871.0000.9940.9820.999
20210.9820.9820.9820.9820.7631.0001.0000.9820.9820.9820.9790.9790.9690.9840.9941.0000.9870.995
20220.7630.7630.7630.7630.9850.9780.9780.7630.7630.7630.9750.9820.9790.9780.9820.9871.0000.987
20231.0001.0001.0001.0000.9781.0001.0001.0001.0001.0000.9860.9910.9690.9840.9990.9950.9871.000
2024-03-23T14:39:31.669286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.8880.8590.8450.8330.8270.8350.8300.8350.8390.9270.9280.9400.9400.9410.9380.9250.933
20070.8881.0000.9250.8970.8790.8740.8750.8610.8790.8790.9390.9400.9450.9490.9460.9420.9340.942
20080.8590.9251.0000.9220.8970.8900.8900.8790.8840.8780.9360.9380.9450.9460.9450.9430.9380.947
20090.8450.8970.9221.0000.9200.9030.8950.8820.8860.8850.9340.9420.9390.9440.9440.9400.9350.941
20100.8330.8790.8970.9201.0000.9180.8970.8920.8860.8830.9330.9380.9420.9410.9440.9390.9380.943
20110.8270.8740.8900.9030.9181.0000.9110.8930.8940.8840.9370.9440.9390.9430.9450.9440.9370.948
20120.8350.8750.8900.8950.8970.9111.0000.9230.9090.9000.9410.9430.9460.9460.9470.9500.9390.945
20130.8300.8610.8790.8820.8920.8930.9231.0000.9190.9120.9410.9440.9430.9460.9450.9440.9340.941
20140.8350.8790.8840.8860.8860.8940.9090.9191.0000.9330.9410.9480.9500.9510.9520.9510.9410.949
20150.8390.8790.8780.8850.8830.8840.9000.9120.9331.0000.9460.9550.9520.9550.9560.9500.9380.951
20160.9270.9390.9360.9340.9330.9370.9410.9410.9410.9461.0000.9360.9090.9010.8800.8660.8300.864
20170.9280.9400.9380.9420.9380.9440.9430.9440.9480.9550.9361.0000.9470.9310.9020.8800.8460.874
20180.9400.9450.9450.9390.9420.9390.9460.9430.9500.9520.9090.9471.0000.9530.9240.8990.8690.879
20190.9400.9490.9460.9440.9410.9430.9460.9460.9510.9550.9010.9310.9531.0000.9430.9020.8700.897
20200.9410.9460.9450.9440.9440.9450.9470.9450.9520.9560.8800.9020.9240.9431.0000.9310.8910.902
20210.9380.9420.9430.9400.9390.9440.9500.9440.9510.9500.8660.8800.8990.9020.9311.0000.9290.923
20220.9250.9340.9380.9350.9380.9370.9390.9340.9410.9380.8300.8460.8690.8700.8910.9291.0000.931
20230.9330.9420.9470.9410.9430.9480.9450.9410.9490.9510.8640.8740.8790.8970.9020.9230.9311.000

Missing values

2024-03-23T14:39:16.183146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:39:16.609047image/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.
2024-03-23T14:39:17.028266image/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

지역_거래원인200620072008200920102011201220132014201520162017201820192020202120222023
0전국_매매721283539792582926632258580910705303503587604331708950808486689091611154563472545061934078669182298581411812
1전국_판결181722272618236934332933168555101502175877451703252021752603323726393036
2전국_교환216207306328263207232244232304368323368381526431796751
3전국_증여253942374925341327322598826647254322538831715339893995947652654386439091866784184857539596
4전국_분양권230320177236189951174601156841164545179396233209323362374033<NA><NA><NA><NA><NA><NA><NA><NA>
5전국_분양권전매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>169387174951127702100847119513638813132350844
6전국_기타81643327831741311107870264486382778355347294<NA><NA><NA><NA><NA><NA><NA><NA>
7전국_기타소유권이전<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>228197458368561841504807426789361324267738230804
8서울_매매1418126581763347790424667263622447716870291696131413122606107897966227173493784497511538436439
9서울_판결673816579362397377281347273371450401436353514526436780
지역_거래원인200620072008200920102011201220132014201520162017201820192020202120222023
2382제주 제주시_기타27191672012355568221<NA><NA><NA><NA><NA><NA><NA><NA>
2383제주 제주시_기타소유권이전<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>55518211497546222760719528
2384제주 서귀포시_매매1755419685355529657519927211303116988081661211341324819669
2385제주 서귀포시_판결011000501210271053
2386제주 서귀포시_교환101000000002021010
2387제주 서귀포시_증여521302825303433391206410167633392365
2388제주 서귀포시_분양권100112825007132378<NA><NA><NA><NA><NA><NA><NA><NA>
2389제주 서귀포시_분양권전매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>89822116859322876539
2390제주 서귀포시_기타00101103363011<NA><NA><NA><NA><NA><NA><NA><NA>
2391제주 서귀포시_기타소유권이전<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16301030881658400370248145