Overview

Dataset statistics

Number of variables19
Number of observations2392
Missing cells2920
Missing cells (%)6.4%
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 순수토지 거래현황의 연도별 거래규모별(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068254/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 176 (7.4%) missing valuesMissing
2007 has 216 (9.0%) missing valuesMissing
2008 has 200 (8.4%) missing valuesMissing
2009 has 200 (8.4%) missing valuesMissing
2010 has 152 (6.4%) missing valuesMissing
2011 has 176 (7.4%) missing valuesMissing
2012 has 160 (6.7%) missing valuesMissing
2013 has 160 (6.7%) missing valuesMissing
2014 has 104 (4.3%) missing valuesMissing
2015 has 136 (5.7%) missing valuesMissing
2016 has 136 (5.7%) missing valuesMissing
2017 has 160 (6.7%) missing valuesMissing
2018 has 152 (6.4%) missing valuesMissing
2019 has 160 (6.7%) missing valuesMissing
2020 has 160 (6.7%) missing valuesMissing
2021 has 160 (6.7%) missing valuesMissing
2022 has 160 (6.7%) missing valuesMissing
2023 has 152 (6.4%) missing valuesMissing
2006 is highly skewed (γ1 = 28.72043283)Skewed
2007 is highly skewed (γ1 = 26.67614065)Skewed
2008 is highly skewed (γ1 = 24.01809996)Skewed
2009 is highly skewed (γ1 = 24.56650594)Skewed
2010 is highly skewed (γ1 = 23.75779084)Skewed
2011 is highly skewed (γ1 = 23.36535321)Skewed
2012 is highly skewed (γ1 = 23.37396076)Skewed
2013 is highly skewed (γ1 = 22.68308152)Skewed
2014 is highly skewed (γ1 = 22.28359654)Skewed
2015 is highly skewed (γ1 = 22.58156384)Skewed
2016 is highly skewed (γ1 = 23.65542363)Skewed
2017 is highly skewed (γ1 = 22.50158365)Skewed
2018 is highly skewed (γ1 = 22.01813961)Skewed
2019 is highly skewed (γ1 = 21.35811469)Skewed
2020 is highly skewed (γ1 = 22.05236977)Skewed
2021 is highly skewed (γ1 = 20.99289839)Skewed
2022 is highly skewed (γ1 = 22.68794616)Skewed
2023 is highly skewed (γ1 = 23.61478936)Skewed
지역_거래규모 has unique valuesUnique
2006 has 37 (1.5%) zerosZeros
2007 has 52 (2.2%) zerosZeros
2008 has 63 (2.6%) zerosZeros
2009 has 77 (3.2%) zerosZeros
2010 has 80 (3.3%) zerosZeros
2011 has 83 (3.5%) zerosZeros
2012 has 84 (3.5%) zerosZeros
2013 has 77 (3.2%) zerosZeros
2014 has 88 (3.7%) zerosZeros
2015 has 65 (2.7%) zerosZeros
2016 has 78 (3.3%) zerosZeros
2017 has 72 (3.0%) zerosZeros
2018 has 71 (3.0%) zerosZeros
2019 has 78 (3.3%) zerosZeros
2020 has 78 (3.3%) zerosZeros
2021 has 62 (2.6%) zerosZeros
2022 has 72 (3.0%) zerosZeros
2023 has 96 (4.0%) zerosZeros

Reproduction

Analysis started2024-03-23 05:07:32.185045
Analysis finished2024-03-23 05:10:00.046646
Duration2 minutes and 27.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역_거래규모
Text

UNIQUE 

Distinct2392
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.8 KiB
2024-03-23T05:10:00.595036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length17.901338
Min length9

Characters and Unicode

Total characters42820
Distinct characters157
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
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_330㎡이하
2nd row전국_331~660㎡
3rd row전국_661~1,000㎡
4th row전국_1,001~2,000㎡
5th row전국_2,001~5,000㎡
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%
2024-03-23T05:10:02.023427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8970
20.9%
, 2990
 
7.0%
1 2990
 
7.0%
2536
 
5.9%
_ 2392
 
5.6%
3 2392
 
5.6%
2392
 
5.6%
~ 1794
 
4.2%
6 1196
 
2.8%
1128
 
2.6%
Other values (147) 14040
32.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16744
39.1%
Other Letter 13668
31.9%
Other Punctuation 2990
 
7.0%
Space Separator 2536
 
5.9%
Connector Punctuation 2392
 
5.6%
Other Symbol 2392
 
5.6%
Math Symbol 1794
 
4.2%
Close Punctuation 152
 
0.4%
Open Punctuation 152
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1128
 
8.3%
976
 
7.1%
872
 
6.4%
744
 
5.4%
712
 
5.2%
576
 
4.2%
448
 
3.3%
400
 
2.9%
384
 
2.8%
376
 
2.8%
Other values (134) 7052
51.6%
Decimal Number
ValueCountFrequency (%)
0 8970
53.6%
1 2990
 
17.9%
3 2392
 
14.3%
6 1196
 
7.1%
5 598
 
3.6%
2 598
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 2990
100.0%
Space Separator
ValueCountFrequency (%)
2536
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2392
100.0%
Other Symbol
ValueCountFrequency (%)
2392
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1794
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29152
68.1%
Hangul 13668
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1128
 
8.3%
976
 
7.1%
872
 
6.4%
744
 
5.4%
712
 
5.2%
576
 
4.2%
448
 
3.3%
400
 
2.9%
384
 
2.8%
376
 
2.8%
Other values (134) 7052
51.6%
Common
ValueCountFrequency (%)
0 8970
30.8%
, 2990
 
10.3%
1 2990
 
10.3%
2536
 
8.7%
_ 2392
 
8.2%
3 2392
 
8.2%
2392
 
8.2%
~ 1794
 
6.2%
6 1196
 
4.1%
5 598
 
2.1%
Other values (3) 902
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26760
62.5%
Hangul 13668
31.9%
CJK Compat 2392
 
5.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8970
33.5%
, 2990
 
11.2%
1 2990
 
11.2%
2536
 
9.5%
_ 2392
 
8.9%
3 2392
 
8.9%
~ 1794
 
6.7%
6 1196
 
4.5%
5 598
 
2.2%
2 598
 
2.2%
Other values (2) 304
 
1.1%
CJK Compat
ValueCountFrequency (%)
2392
100.0%
Hangul
ValueCountFrequency (%)
1128
 
8.3%
976
 
7.1%
872
 
6.4%
744
 
5.4%
712
 
5.2%
576
 
4.2%
448
 
3.3%
400
 
2.9%
384
 
2.8%
376
 
2.8%
Other values (134) 7052
51.6%

2006
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1375
Distinct (%)62.0%
Missing176
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean4078.0212
Minimum0
Maximum1323435
Zeros37
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:02.682096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q1121.75
median491
Q31875
95-th percentile10188
Maximum1323435
Range1323435
Interquartile range (IQR)1753.25

Descriptive statistics

Standard deviation34385.289
Coefficient of variation (CV)8.4318564
Kurtosis1016.2115
Mean4078.0212
Median Absolute Deviation (MAD)450
Skewness28.720433
Sum9036895
Variance1.1823481 × 109
MonotonicityNot monotonic
2024-03-23T05:10:03.333406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
1.5%
36 12
 
0.5%
12 12
 
0.5%
20 11
 
0.5%
30 11
 
0.5%
27 10
 
0.4%
10 9
 
0.4%
16 9
 
0.4%
31 8
 
0.3%
28 8
 
0.3%
Other values (1365) 2089
87.3%
(Missing) 176
 
7.4%
ValueCountFrequency (%)
0 37
1.5%
1 2
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%
4 4
 
0.2%
5 4
 
0.2%
6 4
 
0.2%
7 6
 
0.3%
8 4
 
0.2%
9 6
 
0.3%
ValueCountFrequency (%)
1323435 1
< 0.1%
501997 1
< 0.1%
447727 1
< 0.1%
282438 1
< 0.1%
250509 1
< 0.1%
242907 1
< 0.1%
199899 1
< 0.1%
194998 1
< 0.1%
177346 1
< 0.1%
114107 1
< 0.1%

2007
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1312
Distinct (%)60.3%
Missing216
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean3344.721
Minimum0
Maximum983945
Zeros52
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:04.150608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q197
median435.5
Q31594
95-th percentile7896.75
Maximum983945
Range983945
Interquartile range (IQR)1497

Descriptive statistics

Standard deviation26728.859
Coefficient of variation (CV)7.9913568
Kurtosis883.40729
Mean3344.721
Median Absolute Deviation (MAD)406.5
Skewness26.676141
Sum7278113
Variance7.1443192 × 108
MonotonicityNot monotonic
2024-03-23T05:10:05.006982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
2.2%
18 15
 
0.6%
14 13
 
0.5%
23 13
 
0.5%
11 11
 
0.5%
16 11
 
0.5%
44 11
 
0.5%
39 10
 
0.4%
15 10
 
0.4%
6 9
 
0.4%
Other values (1302) 2021
84.5%
(Missing) 216
 
9.0%
ValueCountFrequency (%)
0 52
2.2%
1 5
 
0.2%
2 2
 
0.1%
3 3
 
0.1%
4 4
 
0.2%
5 8
 
0.3%
6 9
 
0.4%
7 6
 
0.3%
8 7
 
0.3%
9 6
 
0.3%
ValueCountFrequency (%)
983945 1
< 0.1%
412241 1
< 0.1%
385224 1
< 0.1%
231726 1
< 0.1%
227342 1
< 0.1%
189943 1
< 0.1%
131701 1
< 0.1%
128597 1
< 0.1%
127217 1
< 0.1%
86931 1
< 0.1%

2008
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1301
Distinct (%)59.4%
Missing200
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean3036.1063
Minimum0
Maximum786808
Zeros63
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:05.649350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q179
median436.5
Q31607.75
95-th percentile6920.9
Maximum786808
Range786808
Interquartile range (IQR)1528.75

Descriptive statistics

Standard deviation22869.878
Coefficient of variation (CV)7.5326343
Kurtosis712.99267
Mean3036.1063
Median Absolute Deviation (MAD)411.5
Skewness24.0181
Sum6655145
Variance5.2303134 × 108
MonotonicityNot monotonic
2024-03-23T05:10:06.234205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
 
2.6%
11 15
 
0.6%
13 14
 
0.6%
15 13
 
0.5%
14 13
 
0.5%
5 13
 
0.5%
8 12
 
0.5%
3 11
 
0.5%
19 11
 
0.5%
17 11
 
0.5%
Other values (1291) 2016
84.3%
(Missing) 200
 
8.4%
ValueCountFrequency (%)
0 63
2.6%
1 2
 
0.1%
2 6
 
0.3%
3 11
 
0.5%
4 6
 
0.3%
5 13
 
0.5%
6 8
 
0.3%
7 8
 
0.3%
8 12
 
0.5%
9 11
 
0.5%
ValueCountFrequency (%)
786808 1
< 0.1%
393717 1
< 0.1%
386366 1
< 0.1%
230704 1
< 0.1%
201957 1
< 0.1%
181020 1
< 0.1%
107608 1
< 0.1%
100168 1
< 0.1%
92493 1
< 0.1%
85838 1
< 0.1%

2009
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1305
Distinct (%)59.5%
Missing200
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean2981.6857
Minimum0
Maximum794763
Zeros77
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:06.844715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q187
median434
Q31532.25
95-th percentile6350.65
Maximum794763
Range794763
Interquartile range (IQR)1445.25

Descriptive statistics

Standard deviation22657.767
Coefficient of variation (CV)7.5989792
Kurtosis752.66763
Mean2981.6857
Median Absolute Deviation (MAD)410
Skewness24.566506
Sum6535855
Variance5.1337442 × 108
MonotonicityNot monotonic
2024-03-23T05:10:07.420280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77
 
3.2%
8 20
 
0.8%
6 17
 
0.7%
9 13
 
0.5%
7 13
 
0.5%
10 12
 
0.5%
12 11
 
0.5%
23 11
 
0.5%
4 11
 
0.5%
13 11
 
0.5%
Other values (1295) 1996
83.4%
(Missing) 200
 
8.4%
ValueCountFrequency (%)
0 77
3.2%
1 7
 
0.3%
2 7
 
0.3%
3 4
 
0.2%
4 11
 
0.5%
5 9
 
0.4%
6 17
 
0.7%
7 13
 
0.5%
8 20
 
0.8%
9 13
 
0.5%
ValueCountFrequency (%)
794763 1
< 0.1%
383372 1
< 0.1%
361453 1
< 0.1%
223532 1
< 0.1%
177020 1
< 0.1%
171390 1
< 0.1%
114472 1
< 0.1%
113349 1
< 0.1%
96352 1
< 0.1%
85750 1
< 0.1%

2010
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1269
Distinct (%)56.7%
Missing152
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean2535.7527
Minimum0
Maximum645739
Zeros80
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:07.988399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q169
median393.5
Q31382
95-th percentile5840.15
Maximum645739
Range645739
Interquartile range (IQR)1313

Descriptive statistics

Standard deviation18815.704
Coefficient of variation (CV)7.4201653
Kurtosis699.10826
Mean2535.7527
Median Absolute Deviation (MAD)371
Skewness23.757791
Sum5680086
Variance3.5403072 × 108
MonotonicityNot monotonic
2024-03-23T05:10:08.392777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
 
3.3%
11 18
 
0.8%
9 16
 
0.7%
6 15
 
0.6%
19 13
 
0.5%
7 12
 
0.5%
5 12
 
0.5%
14 11
 
0.5%
15 11
 
0.5%
17 11
 
0.5%
Other values (1259) 2041
85.3%
(Missing) 152
 
6.4%
ValueCountFrequency (%)
0 80
3.3%
1 6
 
0.3%
2 11
 
0.5%
3 10
 
0.4%
4 6
 
0.3%
5 12
 
0.5%
6 15
 
0.6%
7 12
 
0.5%
8 10
 
0.4%
9 16
 
0.7%
ValueCountFrequency (%)
645739 1
< 0.1%
331880 1
< 0.1%
323183 1
< 0.1%
205191 1
< 0.1%
161676 1
< 0.1%
148717 1
< 0.1%
81642 1
< 0.1%
79344 1
< 0.1%
78336 1
< 0.1%
72194 1
< 0.1%

2011
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1263
Distinct (%)57.0%
Missing176
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean2533.5266
Minimum0
Maximum630550
Zeros83
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:08.888473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q178
median419
Q31383.5
95-th percentile5540.25
Maximum630550
Range630550
Interquartile range (IQR)1305.5

Descriptive statistics

Standard deviation18574.222
Coefficient of variation (CV)7.3313702
Kurtosis678.46338
Mean2533.5266
Median Absolute Deviation (MAD)393
Skewness23.365353
Sum5614295
Variance3.4500171 × 108
MonotonicityNot monotonic
2024-03-23T05:10:09.444914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83
 
3.5%
6 15
 
0.6%
8 13
 
0.5%
4 12
 
0.5%
18 11
 
0.5%
16 11
 
0.5%
36 11
 
0.5%
10 11
 
0.5%
27 11
 
0.5%
12 11
 
0.5%
Other values (1253) 2027
84.7%
(Missing) 176
 
7.4%
ValueCountFrequency (%)
0 83
3.5%
1 8
 
0.3%
2 9
 
0.4%
3 9
 
0.4%
4 12
 
0.5%
5 10
 
0.4%
6 15
 
0.6%
7 10
 
0.4%
8 13
 
0.5%
9 9
 
0.4%
ValueCountFrequency (%)
630550 1
< 0.1%
331013 1
< 0.1%
311371 1
< 0.1%
204562 1
< 0.1%
160710 1
< 0.1%
134853 1
< 0.1%
96022 1
< 0.1%
85962 1
< 0.1%
78955 1
< 0.1%
74364 1
< 0.1%

2012
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1253
Distinct (%)56.1%
Missing160
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2335.7791
Minimum0
Maximum580078
Zeros84
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:10.031762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q175.75
median404.5
Q31271.5
95-th percentile5190.7
Maximum580078
Range580078
Interquartile range (IQR)1195.75

Descriptive statistics

Standard deviation17086.891
Coefficient of variation (CV)7.3152853
Kurtosis677.13533
Mean2335.7791
Median Absolute Deviation (MAD)375.5
Skewness23.373961
Sum5213459
Variance2.9196183 × 108
MonotonicityNot monotonic
2024-03-23T05:10:10.630883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84
 
3.5%
5 18
 
0.8%
18 14
 
0.6%
11 14
 
0.6%
4 13
 
0.5%
15 12
 
0.5%
6 12
 
0.5%
24 12
 
0.5%
7 12
 
0.5%
29 11
 
0.5%
Other values (1243) 2030
84.9%
(Missing) 160
 
6.7%
ValueCountFrequency (%)
0 84
3.5%
1 10
 
0.4%
2 6
 
0.3%
3 10
 
0.4%
4 13
 
0.5%
5 18
 
0.8%
6 12
 
0.5%
7 12
 
0.5%
8 11
 
0.5%
9 9
 
0.4%
ValueCountFrequency (%)
580078 1
< 0.1%
308110 1
< 0.1%
286927 1
< 0.1%
194183 1
< 0.1%
146688 1
< 0.1%
136747 1
< 0.1%
77347 1
< 0.1%
75476 1
< 0.1%
71016 1
< 0.1%
63697 1
< 0.1%

2013
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1242
Distinct (%)55.6%
Missing160
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2319.9458
Minimum0
Maximum553380
Zeros77
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:11.155672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q173
median410.5
Q31291.25
95-th percentile5140.25
Maximum553380
Range553380
Interquartile range (IQR)1218.25

Descriptive statistics

Standard deviation16754.2
Coefficient of variation (CV)7.2218066
Kurtosis631.43092
Mean2319.9458
Median Absolute Deviation (MAD)383.5
Skewness22.683082
Sum5178119
Variance2.8070321 × 108
MonotonicityNot monotonic
2024-03-23T05:10:11.668583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77
 
3.2%
6 17
 
0.7%
4 16
 
0.7%
5 16
 
0.7%
10 15
 
0.6%
27 15
 
0.6%
12 12
 
0.5%
21 11
 
0.5%
3 10
 
0.4%
17 10
 
0.4%
Other values (1232) 2033
85.0%
(Missing) 160
 
6.7%
ValueCountFrequency (%)
0 77
3.2%
1 7
 
0.3%
2 8
 
0.3%
3 10
 
0.4%
4 16
 
0.7%
5 16
 
0.7%
6 17
 
0.7%
7 10
 
0.4%
8 8
 
0.3%
9 6
 
0.3%
ValueCountFrequency (%)
553380 1
< 0.1%
316009 1
< 0.1%
291597 1
< 0.1%
197807 1
< 0.1%
146848 1
< 0.1%
132695 1
< 0.1%
75187 1
< 0.1%
70072 1
< 0.1%
63541 1
< 0.1%
62369 1
< 0.1%

2014
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1287
Distinct (%)56.2%
Missing104
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean2438.4314
Minimum0
Maximum571760
Zeros88
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:12.259569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q189.75
median426.5
Q31366.25
95-th percentile5177.5
Maximum571760
Range571760
Interquartile range (IQR)1276.5

Descriptive statistics

Standard deviation17559.103
Coefficient of variation (CV)7.2009829
Kurtosis605.27729
Mean2438.4314
Median Absolute Deviation (MAD)396.5
Skewness22.283597
Sum5579131
Variance3.0832209 × 108
MonotonicityNot monotonic
2024-03-23T05:10:12.801430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
 
3.7%
2 13
 
0.5%
21 13
 
0.5%
30 13
 
0.5%
6 13
 
0.5%
27 12
 
0.5%
17 12
 
0.5%
14 11
 
0.5%
15 10
 
0.4%
5 10
 
0.4%
Other values (1277) 2093
87.5%
(Missing) 104
 
4.3%
ValueCountFrequency (%)
0 88
3.7%
1 3
 
0.1%
2 13
 
0.5%
3 5
 
0.2%
4 9
 
0.4%
5 10
 
0.4%
6 13
 
0.5%
7 7
 
0.3%
8 7
 
0.3%
9 5
 
0.2%
ValueCountFrequency (%)
571760 1
< 0.1%
345371 1
< 0.1%
315793 1
< 0.1%
218767 1
< 0.1%
162185 1
< 0.1%
136115 1
< 0.1%
82527 1
< 0.1%
78770 1
< 0.1%
77588 1
< 0.1%
68471 1
< 0.1%

2015
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1331
Distinct (%)59.0%
Missing136
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean2729.6414
Minimum0
Maximum648069
Zeros65
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:13.618520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q1104
median495
Q31550.5
95-th percentile6070.25
Maximum648069
Range648069
Interquartile range (IQR)1446.5

Descriptive statistics

Standard deviation19626.78
Coefficient of variation (CV)7.1902411
Kurtosis626.33609
Mean2729.6414
Median Absolute Deviation (MAD)459
Skewness22.581564
Sum6158071
Variance3.8521048 × 108
MonotonicityNot monotonic
2024-03-23T05:10:14.137026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
 
2.7%
82 12
 
0.5%
7 12
 
0.5%
27 11
 
0.5%
20 11
 
0.5%
6 11
 
0.5%
12 11
 
0.5%
4 11
 
0.5%
16 10
 
0.4%
34 10
 
0.4%
Other values (1321) 2092
87.5%
(Missing) 136
 
5.7%
ValueCountFrequency (%)
0 65
2.7%
1 3
 
0.1%
2 4
 
0.2%
3 8
 
0.3%
4 11
 
0.5%
5 7
 
0.3%
6 11
 
0.5%
7 12
 
0.5%
8 7
 
0.3%
9 6
 
0.3%
ValueCountFrequency (%)
648069 1
< 0.1%
374860 1
< 0.1%
336187 1
< 0.1%
240507 1
< 0.1%
173737 1
< 0.1%
164098 1
< 0.1%
93234 1
< 0.1%
87690 1
< 0.1%
85860 1
< 0.1%
78669 1
< 0.1%

2016
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1319
Distinct (%)58.5%
Missing136
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean2730.4189
Minimum0
Maximum686138
Zeros78
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:14.852782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q1102.75
median468
Q31502.25
95-th percentile6032.25
Maximum686138
Range686138
Interquartile range (IQR)1399.5

Descriptive statistics

Standard deviation19968.644
Coefficient of variation (CV)7.3133995
Kurtosis696.12634
Mean2730.4189
Median Absolute Deviation (MAD)432
Skewness23.655424
Sum6159825
Variance3.9874675 × 108
MonotonicityNot monotonic
2024-03-23T05:10:15.398474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
3.3%
5 14
 
0.6%
12 13
 
0.5%
11 11
 
0.5%
20 11
 
0.5%
9 11
 
0.5%
15 11
 
0.5%
10 10
 
0.4%
43 10
 
0.4%
4 10
 
0.4%
Other values (1309) 2077
86.8%
(Missing) 136
 
5.7%
ValueCountFrequency (%)
0 78
3.3%
1 4
 
0.2%
2 5
 
0.2%
3 8
 
0.3%
4 10
 
0.4%
5 14
 
0.6%
6 9
 
0.4%
7 8
 
0.3%
8 9
 
0.4%
9 11
 
0.5%
ValueCountFrequency (%)
686138 1
< 0.1%
358707 1
< 0.1%
330498 1
< 0.1%
227226 1
< 0.1%
169328 1
< 0.1%
159553 1
< 0.1%
97146 1
< 0.1%
89150 1
< 0.1%
86085 1
< 0.1%
78975 1
< 0.1%

2017
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1313
Distinct (%)58.8%
Missing160
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2794.9409
Minimum0
Maximum658457
Zeros72
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:15.843110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1112.75
median500
Q31606.5
95-th percentile6060.35
Maximum658457
Range658457
Interquartile range (IQR)1493.75

Descriptive statistics

Standard deviation20020.579
Coefficient of variation (CV)7.1631494
Kurtosis621.78825
Mean2794.9409
Median Absolute Deviation (MAD)464
Skewness22.501584
Sum6238308
Variance4.0082358 × 108
MonotonicityNot monotonic
2024-03-23T05:10:16.665712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
3.0%
19 14
 
0.6%
14 12
 
0.5%
6 11
 
0.5%
9 11
 
0.5%
26 10
 
0.4%
8 10
 
0.4%
2 10
 
0.4%
15 9
 
0.4%
21 9
 
0.4%
Other values (1303) 2064
86.3%
(Missing) 160
 
6.7%
ValueCountFrequency (%)
0 72
3.0%
1 4
 
0.2%
2 10
 
0.4%
3 8
 
0.3%
4 7
 
0.3%
5 7
 
0.3%
6 11
 
0.5%
7 8
 
0.3%
8 10
 
0.4%
9 11
 
0.5%
ValueCountFrequency (%)
658457 1
< 0.1%
366935 1
< 0.1%
358299 1
< 0.1%
234495 1
< 0.1%
178639 1
< 0.1%
173074 1
< 0.1%
91668 1
< 0.1%
87908 1
< 0.1%
80102 1
< 0.1%
74137 1
< 0.1%

2018
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1310
Distinct (%)58.5%
Missing152
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean2600.9263
Minimum0
Maximum599585
Zeros71
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:17.540815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q199.75
median453
Q31501
95-th percentile5598.55
Maximum599585
Range599585
Interquartile range (IQR)1401.25

Descriptive statistics

Standard deviation18609.131
Coefficient of variation (CV)7.1548091
Kurtosis591.77361
Mean2600.9263
Median Absolute Deviation (MAD)418
Skewness22.01814
Sum5826075
Variance3.4629977 × 108
MonotonicityNot monotonic
2024-03-23T05:10:18.121803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
3.0%
5 12
 
0.5%
27 12
 
0.5%
4 11
 
0.5%
21 11
 
0.5%
9 11
 
0.5%
6 10
 
0.4%
20 10
 
0.4%
13 10
 
0.4%
19 10
 
0.4%
Other values (1300) 2072
86.6%
(Missing) 152
 
6.4%
ValueCountFrequency (%)
0 71
3.0%
1 3
 
0.1%
2 4
 
0.2%
3 9
 
0.4%
4 11
 
0.5%
5 12
 
0.5%
6 10
 
0.4%
7 9
 
0.4%
8 6
 
0.3%
9 11
 
0.5%
ValueCountFrequency (%)
599585 1
< 0.1%
355319 1
< 0.1%
341027 1
< 0.1%
217562 1
< 0.1%
171836 1
< 0.1%
146795 1
< 0.1%
88163 1
< 0.1%
85091 1
< 0.1%
84075 1
< 0.1%
79793 1
< 0.1%

2019
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1291
Distinct (%)57.8%
Missing160
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2360.6187
Minimum0
Maximum514313
Zeros78
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:18.615274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q194.75
median430.5
Q31353
95-th percentile4973.35
Maximum514313
Range514313
Interquartile range (IQR)1258.25

Descriptive statistics

Standard deviation16492.219
Coefficient of variation (CV)6.9863966
Kurtosis551.26954
Mean2360.6187
Median Absolute Deviation (MAD)397
Skewness21.358115
Sum5268901
Variance2.7199328 × 108
MonotonicityNot monotonic
2024-03-23T05:10:19.068483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
3.3%
6 15
 
0.6%
31 14
 
0.6%
7 13
 
0.5%
11 13
 
0.5%
8 12
 
0.5%
5 12
 
0.5%
32 11
 
0.5%
10 11
 
0.5%
4 11
 
0.5%
Other values (1281) 2042
85.4%
(Missing) 160
 
6.7%
ValueCountFrequency (%)
0 78
3.3%
1 5
 
0.2%
2 5
 
0.2%
3 3
 
0.1%
4 11
 
0.5%
5 12
 
0.5%
6 15
 
0.6%
7 13
 
0.5%
8 12
 
0.5%
9 10
 
0.4%
ValueCountFrequency (%)
514313 1
< 0.1%
330169 1
< 0.1%
305336 1
< 0.1%
204715 1
< 0.1%
157087 1
< 0.1%
113622 1
< 0.1%
78229 1
< 0.1%
73457 1
< 0.1%
71838 1
< 0.1%
62459 1
< 0.1%

2020
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1297
Distinct (%)58.1%
Missing160
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2560.1004
Minimum0
Maximum589054
Zeros78
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:19.565763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.55
Q1107.75
median455.5
Q31448
95-th percentile5321.9
Maximum589054
Range589054
Interquartile range (IQR)1340.25

Descriptive statistics

Standard deviation18179.104
Coefficient of variation (CV)7.1009343
Kurtosis598.12203
Mean2560.1004
Median Absolute Deviation (MAD)419.5
Skewness22.05237
Sum5714144
Variance3.3047984 × 108
MonotonicityNot monotonic
2024-03-23T05:10:20.219236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
3.3%
10 15
 
0.6%
16 12
 
0.5%
12 11
 
0.5%
9 10
 
0.4%
14 10
 
0.4%
7 10
 
0.4%
51 9
 
0.4%
19 9
 
0.4%
30 9
 
0.4%
Other values (1287) 2059
86.1%
(Missing) 160
 
6.7%
ValueCountFrequency (%)
0 78
3.3%
1 6
 
0.3%
2 3
 
0.1%
3 6
 
0.3%
4 8
 
0.3%
5 4
 
0.2%
6 7
 
0.3%
7 10
 
0.4%
8 8
 
0.3%
9 10
 
0.4%
ValueCountFrequency (%)
589054 1
< 0.1%
357342 1
< 0.1%
303489 1
< 0.1%
226634 1
< 0.1%
163080 1
< 0.1%
128749 1
< 0.1%
85287 1
< 0.1%
81454 1
< 0.1%
80288 1
< 0.1%
78885 1
< 0.1%

2021
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1332
Distinct (%)59.7%
Missing160
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2768.44
Minimum0
Maximum588472
Zeros62
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:20.844022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1118
median515
Q31574.25
95-th percentile5839.5
Maximum588472
Range588472
Interquartile range (IQR)1456.25

Descriptive statistics

Standard deviation19155.4
Coefficient of variation (CV)6.9192037
Kurtosis531.17691
Mean2768.44
Median Absolute Deviation (MAD)473
Skewness20.992898
Sum6179158
Variance3.6692935 × 108
MonotonicityNot monotonic
2024-03-23T05:10:21.569803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
2.6%
8 12
 
0.5%
7 11
 
0.5%
10 11
 
0.5%
19 10
 
0.4%
59 10
 
0.4%
12 10
 
0.4%
40 10
 
0.4%
30 9
 
0.4%
16 9
 
0.4%
Other values (1322) 2078
86.9%
(Missing) 160
 
6.7%
ValueCountFrequency (%)
0 62
2.6%
1 2
 
0.1%
2 4
 
0.2%
3 5
 
0.2%
4 6
 
0.3%
5 6
 
0.3%
6 9
 
0.4%
7 11
 
0.5%
8 12
 
0.5%
9 5
 
0.2%
ValueCountFrequency (%)
588472 1
< 0.1%
391549 1
< 0.1%
345546 1
< 0.1%
253639 1
< 0.1%
184394 1
< 0.1%
136504 1
< 0.1%
97192 1
< 0.1%
92677 1
< 0.1%
80690 1
< 0.1%
71136 1
< 0.1%

2022
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1239
Distinct (%)55.5%
Missing160
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2302.7545
Minimum0
Maximum547067
Zeros72
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:22.177197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q179
median383.5
Q31268.25
95-th percentile5026.15
Maximum547067
Range547067
Interquartile range (IQR)1189.25

Descriptive statistics

Standard deviation16502.768
Coefficient of variation (CV)7.1665338
Kurtosis634.82688
Mean2302.7545
Median Absolute Deviation (MAD)355.5
Skewness22.687946
Sum5139748
Variance2.7234135 × 108
MonotonicityNot monotonic
2024-03-23T05:10:22.720470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
3.0%
5 17
 
0.7%
8 17
 
0.7%
13 15
 
0.6%
19 14
 
0.6%
4 14
 
0.6%
11 13
 
0.5%
17 12
 
0.5%
37 11
 
0.5%
22 10
 
0.4%
Other values (1229) 2037
85.2%
(Missing) 160
 
6.7%
ValueCountFrequency (%)
0 72
3.0%
1 5
 
0.2%
2 3
 
0.1%
3 8
 
0.3%
4 14
 
0.6%
5 17
 
0.7%
6 10
 
0.4%
7 9
 
0.4%
8 17
 
0.7%
9 9
 
0.4%
ValueCountFrequency (%)
547067 1
< 0.1%
302984 1
< 0.1%
290333 1
< 0.1%
192320 1
< 0.1%
150626 1
< 0.1%
119989 1
< 0.1%
74054 1
< 0.1%
73202 1
< 0.1%
70688 1
< 0.1%
58353 1
< 0.1%

2023
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct1127
Distinct (%)50.3%
Missing152
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean1727.7862
Minimum0
Maximum436149
Zeros96
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size21.2 KiB
2024-03-23T05:10:23.138185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q153.75
median289
Q3938.5
95-th percentile3616.05
Maximum436149
Range436149
Interquartile range (IQR)884.75

Descriptive statistics

Standard deviation12740.287
Coefficient of variation (CV)7.373764
Kurtosis692.90626
Mean1727.7862
Median Absolute Deviation (MAD)270
Skewness23.614789
Sum3870241
Variance1.6231492 × 108
MonotonicityNot monotonic
2024-03-23T05:10:23.674451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96
 
4.0%
5 24
 
1.0%
2 22
 
0.9%
8 18
 
0.8%
7 17
 
0.7%
10 16
 
0.7%
17 15
 
0.6%
12 14
 
0.6%
15 14
 
0.6%
3 14
 
0.6%
Other values (1117) 1990
83.2%
(Missing) 152
 
6.4%
ValueCountFrequency (%)
0 96
4.0%
1 9
 
0.4%
2 22
 
0.9%
3 14
 
0.6%
4 12
 
0.5%
5 24
 
1.0%
6 13
 
0.5%
7 17
 
0.7%
8 18
 
0.8%
9 12
 
0.5%
ValueCountFrequency (%)
436149 1
< 0.1%
228206 1
< 0.1%
215414 1
< 0.1%
137563 1
< 0.1%
110035 1
< 0.1%
93875 1
< 0.1%
65928 1
< 0.1%
54326 1
< 0.1%
52081 1
< 0.1%
49311 1
< 0.1%

Interactions

2024-03-23T05:09:50.716250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:44.032923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:51.619560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:00.526301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:08.182648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:15.008912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:21.956261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:28.810595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:35.662083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:40.781368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:46.770842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:52.936042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:02.098609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:08.665187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:15.315653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:23.759857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:33.759043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:43.494233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:50.990298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:44.394937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:51.962620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:01.019016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:08.814721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:15.351318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:22.321831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:29.244458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:35.971249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:41.114475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:47.274083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:53.814086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:02.454109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:09.181495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:15.710432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:24.242955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:34.265234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:44.090191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:51.350761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:44.742098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:52.344978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:01.437352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:09.226660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:15.662506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:22.719556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:29.622880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:36.225786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:41.447068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:47.624991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:54.596963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:02.754886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:09.447314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:16.076360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:24.750909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:34.627721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:44.466362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:51.742044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:45.230016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:52.680980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:01.838578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:09.663749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:15.974225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:23.101072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:30.011213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:36.511713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:41.788275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:48.017923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:55.251658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:03.086851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:09.926926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:16.550408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:25.489435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:35.121436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:44.925374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:52.039874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:45.680870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:53.140992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:02.255353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:10.058101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:16.300919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:23.461701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:30.571916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:36.802948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:42.082804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:48.297834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:56.155072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:03.524769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:10.221484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:17.080380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:25.974265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:35.520352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:45.478727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:52.321935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:46.317768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:53.518369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:02.549113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:10.447660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:16.664743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:23.945462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:30.964496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:37.115008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:42.379769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:48.516049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:56.862119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:03.861448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:10.490942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:17.461998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:26.460067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:36.199398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:45.819254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:52.596345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:46.737699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:53.953457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:02.919986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:10.774721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:17.058870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:24.325994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:31.403752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:37.390395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:42.756368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:48.711147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:57.348336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:04.239057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:10.773263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:18.428291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:27.332946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:36.654827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:46.216146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:53.025796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:47.159505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:55.079162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:03.485783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:11.120120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:17.370790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:24.639157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:31.897364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:37.576726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:43.133927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:48.981046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:57.697422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:04.756186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:11.076624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:18.761424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:27.936852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:37.068046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:46.669148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:53.346030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:47.588992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:56.146556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:03.882266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:11.419619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:17.769419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:25.052331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:32.260409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:37.831668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:43.406394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:49.226412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:58.135116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:05.145146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:11.344743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:19.023686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:28.393888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:37.445062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:46.945967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:53.641010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:48.000514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:57.006897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:04.306670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:11.734221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:18.110261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:25.449157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:32.674956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:38.187120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:43.791762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:49.651809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:58.555510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:05.566488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:11.673096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:19.294755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:28.830511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:37.816453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:47.233691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:53.983251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:48.461980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:57.592438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:04.739311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:12.041239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:18.393897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:25.873630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:33.114758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:38.579684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:44.212359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:49.928182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:58.928396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:06.052486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:12.029374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:19.825844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:29.280631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:38.132440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:47.622031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:54.349235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:48.922441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:57.939128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:05.134739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:12.399846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:18.745062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:26.476648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:33.489652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:38.893455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:44.513626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:50.248669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:59.283256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:06.518576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:12.553783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:20.208217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:29.639323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:38.692085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:47.979846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:54.655176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:49.457123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:58.270543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:05.759052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:12.839550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:19.371715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:26.901778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:33.906255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:39.320541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:44.812298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:50.540933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:59.642428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:06.910344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:13.049164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:20.737725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:30.105793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:39.103241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:48.313944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:55.022061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:49.860160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:58.763793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:06.134999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:13.399846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:19.735306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:27.233841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:34.235573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:39.639100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:45.095590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:50.829065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:00.116833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:07.244610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:13.425491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:21.188675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:30.526068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:39.565421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:48.653222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:55.421422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:50.259872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:59.159892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:06.470946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:13.709023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:20.093792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:27.504961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:34.520715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:39.839202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:45.399950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:51.112325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:00.503540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:07.507921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:13.703556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:21.592104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:31.062562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:40.159505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:49.067209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:55.866733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:50.599517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:59.594752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:06.803565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:14.081420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:20.437652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:27.818466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:34.815295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:40.015531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:45.698381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:51.509685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:00.938249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:07.746961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:13.991721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:22.041116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:31.978999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:41.050814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:49.394058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:56.218298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:50.921295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:59.874511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:07.249931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:14.424323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:20.913996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:28.156974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:35.083134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:40.210435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:46.185965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:51.843832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:01.314067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:08.082156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:14.352247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:22.689538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:32.707281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:42.383528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:49.774417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:56.617861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:07:51.304312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:00.212635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:07.699137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:14.739298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:21.445501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:28.481241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:35.355167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:40.517513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:46.498412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:08:52.304065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:01.728414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:08.353159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:14.936250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:23.384933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:33.237913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:43.083694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:09:50.360506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:10:24.070253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.9430.9170.9870.9100.9050.9050.9210.9070.9210.9070.9210.9080.9560.9130.9540.9060.905
20070.9431.0000.9980.9130.9790.9490.9490.9830.9500.9830.9500.9830.9780.9530.9540.9780.9780.949
20080.9170.9981.0000.9540.9870.9640.9640.9910.9670.9910.9670.9910.9860.9670.9700.9730.9850.964
20090.9870.9130.9541.0000.9710.9610.9610.9610.9710.9410.9450.9410.9410.9300.9320.9280.9550.961
20100.9100.9790.9870.9711.0000.9850.9851.0001.0000.9990.9760.9990.9990.9260.9650.9701.0000.985
20110.9050.9490.9640.9610.9851.0001.0000.9781.0000.9781.0000.9780.9780.9950.9990.9750.9861.000
20120.9050.9490.9640.9610.9851.0001.0000.9781.0000.9781.0000.9780.9780.9950.9990.9750.9861.000
20130.9210.9830.9910.9611.0000.9780.9781.0000.9851.0000.9711.0000.9990.9320.9710.9750.9990.978
20140.9070.9500.9670.9711.0001.0001.0000.9851.0000.9711.0000.9710.9710.9940.9990.9720.9791.000
20150.9210.9830.9910.9410.9990.9780.9781.0000.9711.0000.9851.0001.0000.9430.9810.9860.9990.978
20160.9070.9500.9670.9450.9761.0001.0000.9711.0000.9851.0000.9850.9850.9961.0000.9770.9791.000
20170.9210.9830.9910.9410.9990.9780.9781.0000.9711.0000.9851.0001.0000.9430.9810.9860.9990.978
20180.9080.9780.9860.9410.9990.9780.9780.9990.9711.0000.9851.0001.0000.9430.9710.9750.9990.978
20190.9560.9530.9670.9300.9260.9950.9950.9320.9940.9430.9960.9430.9431.0000.9970.9850.9280.995
20200.9130.9540.9700.9320.9650.9990.9990.9710.9990.9811.0000.9810.9710.9971.0000.9880.9670.999
20210.9540.9780.9730.9280.9700.9750.9750.9750.9720.9860.9770.9860.9750.9850.9881.0000.9730.975
20220.9060.9780.9850.9551.0000.9860.9860.9990.9790.9990.9790.9990.9990.9280.9670.9731.0000.986
20230.9050.9490.9640.9610.9851.0001.0000.9781.0000.9781.0000.9780.9780.9950.9990.9750.9861.000
2024-03-23T05:10:24.651812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.9510.9360.9230.9190.9200.9190.9220.9190.9290.9270.9230.9290.9190.9180.9260.9120.912
20070.9511.0000.9610.9480.9460.9450.9470.9480.9460.9440.9450.9470.9500.9380.9390.9420.9360.938
20080.9360.9611.0000.9580.9510.9460.9520.9450.9480.9510.9460.9490.9440.9390.9360.9420.9360.931
20090.9230.9480.9581.0000.9660.9600.9600.9540.9530.9560.9550.9590.9550.9490.9500.9550.9520.950
20100.9190.9460.9510.9661.0000.9630.9580.9570.9500.9470.9530.9580.9550.9450.9520.9500.9450.948
20110.9200.9450.9460.9600.9631.0000.9670.9670.9550.9550.9540.9590.9500.9440.9480.9510.9420.948
20120.9190.9470.9520.9600.9580.9671.0000.9680.9640.9620.9600.9560.9520.9440.9470.9500.9470.949
20130.9220.9480.9450.9540.9570.9670.9681.0000.9700.9630.9620.9640.9570.9450.9500.9510.9500.952
20140.9190.9460.9480.9530.9500.9550.9640.9701.0000.9690.9620.9610.9530.9480.9480.9430.9440.938
20150.9290.9440.9510.9560.9470.9550.9620.9630.9691.0000.9710.9660.9580.9510.9510.9540.9480.945
20160.9270.9450.9460.9550.9530.9540.9600.9620.9620.9711.0000.9710.9670.9570.9600.9580.9530.956
20170.9230.9470.9490.9590.9580.9590.9560.9640.9610.9660.9711.0000.9710.9650.9680.9620.9600.958
20180.9290.9500.9440.9550.9550.9500.9520.9570.9530.9580.9670.9711.0000.9650.9640.9620.9560.962
20190.9190.9380.9390.9490.9450.9440.9440.9450.9480.9510.9570.9650.9651.0000.9630.9590.9490.954
20200.9180.9390.9360.9500.9520.9480.9470.9500.9480.9510.9600.9680.9640.9631.0000.9640.9590.957
20210.9260.9420.9420.9550.9500.9510.9500.9510.9430.9540.9580.9620.9620.9590.9641.0000.9640.958
20220.9120.9360.9360.9520.9450.9420.9470.9500.9440.9480.9530.9600.9560.9490.9590.9641.0000.961
20230.9120.9380.9310.9500.9480.9480.9490.9520.9380.9450.9560.9580.9620.9540.9570.9580.9611.000

Missing values

2024-03-23T05:09:57.130667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:09:58.109183image/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.
2024-03-23T05:09:59.211472image/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_거래규모200620072008200920102011201220132014201520162017201820192020202120222023
0전국_330㎡이하452064418447104492354727252532491454796153676596335945661494575775377157874626294840335030
1전국_331~660㎡778167246374263756557035674364710167007277588876908608587908797937345781454926777068849311
2전국_661~1,000㎡928078503985838857507833678955754767518782527932348915091668840757822985287971927320252081
3전국_1,001~2,000㎡250509227342230704223532205191204562194183197807218767240507227226234495217562204715226634253639192320137563
4전국_2,001~5,000㎡447727385224393717361453331880331013308110316009345371374860358707366935355319330169357342391549302984228206
5전국_5,001~10,000㎡242907189943181020177020161676160710146688146848162185173737169328178639171836157087163080184394150626110035
6전국_10,001~33,000㎡501997412241386366383372323183311371286927291597315793336187330498358299341027305336303489345546290333215414
7전국_33,000㎡초과1323435983945786808794763645739630550580078553380571760648069686138658457599585514313589054588472547067436149
8서울_330㎡이하1416116011381229836775675603798100610089899649801113981695473
9서울_331~660㎡568475372678422330299294364449412372455476614458291151
지역_거래규모200620072008200920102011201220132014201520162017201820192020202120222023
2382제주 제주시_10,001~33,000㎡354344183129335833042052284928635054658253023141319026212301245222211584
2383제주 제주시_33,000㎡초과1162692116310257677374705285244596406761659874482432330552254435238473403
2384제주 서귀포시_330㎡이하1763712742782993564675447441015984821627461344387384288
2385제주 서귀포시_331~660㎡382747550543609707818100714082013184912961015761598792643449
2386제주 서귀포시_661~1,000㎡48095564268071982299411701505216516011129935691602703628430
2387제주 서귀포시_1,001~2,000㎡156826901756207119942085227929163983468335252745227618371755198515731125
2388제주 서귀포시_2,001~5,000㎡4576757848005916537352695715692195681112387646767594950193996463839322870
2389제주 서귀포시_5,001~10,000㎡277743933390374331503337331137406007801855624288345331762363271520561787
2390제주 서귀포시_10,001~33,000㎡237941053374292523972402242831904683667440693534253317922025172514541230
2391제주 서귀포시_33,000㎡초과5585264239183046122626924945111211064593593396113053555116061812724347