Overview

Dataset statistics

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

Variable types

Text1
Numeric18

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 아파트매매 거래현황의 연도별 행정구역(동(호)수) 데이터입니다.-(단위 : 동(호)수)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068498/fileData.do

Alerts

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

Reproduction

Analysis started2024-03-23 05:50:45.246300
Analysis finished2024-03-23 05:51:34.461495
Duration49.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-23T14:51:34.849015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.4013378
Min length2

Characters and Unicode

Total characters1914
Distinct characters147
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)100.0%

Sample

1st row전국
2nd row서울
3rd row서울 종로구
4th row서울 중구
5th row서울 용산구
ValueCountFrequency (%)
경기 53
 
8.6%
경남 27
 
4.4%
경북 26
 
4.2%
서울 26
 
4.2%
전남 23
 
3.7%
충남 20
 
3.2%
충북 20
 
3.2%
강원 19
 
3.1%
전북 17
 
2.8%
부산 17
 
2.8%
Other values (263) 368
59.7%
2024-03-23T14:51:35.673880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

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

Most frequent character per category

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

Most occurring scripts

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

Most frequent character per script

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

Most occurring blocks

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

Most frequent character per block

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

2006
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct271
Distinct (%)98.5%
Missing24
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean12274.622
Minimum7
Maximum1060673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:35.954143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile47.7
Q1424.5
median3646
Q39038
95-th percentile31677.8
Maximum1060673
Range1060666
Interquartile range (IQR)8613.5

Descriptive statistics

Standard deviation67961.898
Coefficient of variation (CV)5.5367814
Kurtosis210.16093
Mean12274.622
Median Absolute Deviation (MAD)3379
Skewness13.93458
Sum3375521
Variance4.6188196 × 109
MonotonicityNot monotonic
2024-03-23T14:51:36.184174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3280 2
 
0.7%
43 2
 
0.7%
141 2
 
0.7%
7 2
 
0.7%
31626 1
 
0.3%
5670 1
 
0.3%
6799 1
 
0.3%
9089 1
 
0.3%
15888 1
 
0.3%
543 1
 
0.3%
Other values (261) 261
87.3%
(Missing) 24
 
8.0%
ValueCountFrequency (%)
7 2
0.7%
10 1
0.3%
17 1
0.3%
18 1
0.3%
24 1
0.3%
25 1
0.3%
30 1
0.3%
31 1
0.3%
38 1
0.3%
43 2
0.7%
ValueCountFrequency (%)
1060673 1
0.3%
330359 1
0.3%
182299 1
0.3%
66569 1
0.3%
60622 1
0.3%
58307 1
0.3%
49529 1
0.3%
46521 1
0.3%
43757 1
0.3%
40140 1
0.3%

2007
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct264
Distinct (%)97.8%
Missing29
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean9002.1111
Minimum9
Maximum775994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:36.378818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile57
Q1510.5
median2558
Q35740.75
95-th percentile25366.25
Maximum775994
Range775985
Interquartile range (IQR)5230.25

Descriptive statistics

Standard deviation49384.792
Coefficient of variation (CV)5.4859123
Kurtosis219.08131
Mean9002.1111
Median Absolute Deviation (MAD)2312.5
Skewness14.285673
Sum2430570
Variance2.4388577 × 109
MonotonicityNot monotonic
2024-03-23T14:51:37.023288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 2
 
0.7%
65 2
 
0.7%
57 2
 
0.7%
26 2
 
0.7%
75 2
 
0.7%
996 2
 
0.7%
1110 1
 
0.3%
1003 1
 
0.3%
364 1
 
0.3%
27387 1
 
0.3%
Other values (254) 254
84.9%
(Missing) 29
 
9.7%
ValueCountFrequency (%)
9 1
0.3%
12 1
0.3%
13 1
0.3%
17 1
0.3%
20 1
0.3%
26 2
0.7%
31 1
0.3%
41 1
0.3%
43 1
0.3%
50 1
0.3%
ValueCountFrequency (%)
775994 1
0.3%
203077 1
0.3%
88448 1
0.3%
61818 1
0.3%
55665 1
0.3%
54403 1
0.3%
42948 1
0.3%
39035 1
0.3%
37494 1
0.3%
34802 1
0.3%

2008
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct270
Distinct (%)98.9%
Missing26
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean9417.3516
Minimum2
Maximum818555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:37.246123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile57.6
Q1606
median2761
Q36629
95-th percentile27668.8
Maximum818555
Range818553
Interquartile range (IQR)6023

Descriptive statistics

Standard deviation51463.566
Coefficient of variation (CV)5.4647599
Kurtosis227.19177
Mean9417.3516
Median Absolute Deviation (MAD)2436
Skewness14.572569
Sum2570937
Variance2.6484986 × 109
MonotonicityNot monotonic
2024-03-23T14:51:37.506964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010 2
 
0.7%
184 2
 
0.7%
81 2
 
0.7%
487 1
 
0.3%
18760 1
 
0.3%
42100 1
 
0.3%
5423 1
 
0.3%
695 1
 
0.3%
1413 1
 
0.3%
170 1
 
0.3%
Other values (260) 260
87.0%
(Missing) 26
 
8.7%
ValueCountFrequency (%)
2 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
18 1
0.3%
24 1
0.3%
25 1
0.3%
26 1
0.3%
30 1
0.3%
41 1
0.3%
ValueCountFrequency (%)
818555 1
0.3%
185800 1
0.3%
88171 1
0.3%
67004 1
0.3%
63536 1
0.3%
56316 1
0.3%
49946 1
0.3%
45517 1
0.3%
42100 1
0.3%
34670 1
0.3%

2009
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct270
Distinct (%)98.5%
Missing25
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean9929.6168
Minimum1
Maximum853395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:37.756345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.95
Q1606
median2951
Q36772.25
95-th percentile25804.65
Maximum853395
Range853394
Interquartile range (IQR)6166.25

Descriptive statistics

Standard deviation53996.192
Coefficient of variation (CV)5.4378929
Kurtosis220.89958
Mean9929.6168
Median Absolute Deviation (MAD)2615.5
Skewness14.329347
Sum2720715
Variance2.9155888 × 109
MonotonicityNot monotonic
2024-03-23T14:51:37.939736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 2
 
0.7%
5584 2
 
0.7%
120 2
 
0.7%
4412 2
 
0.7%
421 1
 
0.3%
1531 1
 
0.3%
2389 1
 
0.3%
206 1
 
0.3%
7458 1
 
0.3%
62 1
 
0.3%
Other values (260) 260
87.0%
(Missing) 25
 
8.4%
ValueCountFrequency (%)
1 1
0.3%
6 1
0.3%
12 1
0.3%
14 1
0.3%
15 1
0.3%
18 1
0.3%
20 1
0.3%
31 1
0.3%
33 1
0.3%
38 1
0.3%
ValueCountFrequency (%)
853395 1
0.3%
224735 1
0.3%
104452 1
0.3%
73187 1
0.3%
61559 1
0.3%
47414 1
0.3%
45152 1
0.3%
44952 1
0.3%
43889 1
0.3%
39354 1
0.3%

2010
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct276
Distinct (%)98.6%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean8817.425
Minimum0
Maximum776137
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:38.123834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57.65
Q1488
median2357
Q36074.75
95-th percentile27064.05
Maximum776137
Range776137
Interquartile range (IQR)5586.75

Descriptive statistics

Standard deviation48252.9
Coefficient of variation (CV)5.472448
Kurtosis231.79776
Mean8817.425
Median Absolute Deviation (MAD)2195.5
Skewness14.713889
Sum2468879
Variance2.3283424 × 109
MonotonicityNot monotonic
2024-03-23T14:51:38.410205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
498 2
 
0.7%
40 2
 
0.7%
136 2
 
0.7%
4892 2
 
0.7%
8503 1
 
0.3%
617 1
 
0.3%
1156 1
 
0.3%
6320 1
 
0.3%
7137 1
 
0.3%
6687 1
 
0.3%
Other values (266) 266
89.0%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
0 1
0.3%
1 1
0.3%
3 1
0.3%
9 1
0.3%
14 1
0.3%
15 1
0.3%
16 1
0.3%
27 1
0.3%
40 2
0.7%
41 1
0.3%
ValueCountFrequency (%)
776137 1
0.3%
182358 1
0.3%
79114 1
0.3%
72286 1
0.3%
66301 1
0.3%
43361 1
0.3%
41771 1
0.3%
38912 1
0.3%
35793 1
0.3%
35200 1
0.3%

2011
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct272
Distinct (%)98.2%
Missing22
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean10436.588
Minimum0
Maximum906083
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:38.622410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54.8
Q1595
median3169
Q37117
95-th percentile31568
Maximum906083
Range906083
Interquartile range (IQR)6522

Descriptive statistics

Standard deviation56441.769
Coefficient of variation (CV)5.4080669
Kurtosis232.24251
Mean10436.588
Median Absolute Deviation (MAD)2881
Skewness14.74364
Sum2890935
Variance3.1856733 × 109
MonotonicityNot monotonic
2024-03-23T14:51:38.829948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 2
 
0.7%
46 2
 
0.7%
0 2
 
0.7%
5208 2
 
0.7%
160 2
 
0.7%
8816 1
 
0.3%
14257 1
 
0.3%
39471 1
 
0.3%
3708 1
 
0.3%
1030 1
 
0.3%
Other values (262) 262
87.6%
(Missing) 22
 
7.4%
ValueCountFrequency (%)
0 2
0.7%
3 1
0.3%
13 2
0.7%
19 1
0.3%
32 1
0.3%
35 1
0.3%
36 1
0.3%
37 1
0.3%
46 2
0.7%
47 1
0.3%
ValueCountFrequency (%)
906083 1
0.3%
198617 1
0.3%
81486 1
0.3%
80537 1
0.3%
66251 1
0.3%
61077 1
0.3%
54524 1
0.3%
54511 1
0.3%
51995 1
0.3%
42936 1
0.3%

2012
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct273
Distinct (%)97.8%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean8191.5341
Minimum0
Maximum716714
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:39.029344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53.9
Q1573.5
median2395
Q35477.5
95-th percentile25759.5
Maximum716714
Range716714
Interquartile range (IQR)4904

Descriptive statistics

Standard deviation44447.411
Coefficient of variation (CV)5.4260179
Kurtosis234.75057
Mean8191.5341
Median Absolute Deviation (MAD)2081
Skewness14.82809
Sum2285438
Variance1.9755723 × 109
MonotonicityNot monotonic
2024-03-23T14:51:39.254978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202 2
 
0.7%
367 2
 
0.7%
89 2
 
0.7%
42 2
 
0.7%
5832 2
 
0.7%
809 2
 
0.7%
2556 1
 
0.3%
927 1
 
0.3%
188 1
 
0.3%
2636 1
 
0.3%
Other values (263) 263
88.0%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 1
0.3%
1 1
0.3%
3 1
0.3%
5 1
0.3%
11 1
0.3%
13 1
0.3%
30 1
0.3%
31 1
0.3%
36 1
0.3%
42 2
0.7%
ValueCountFrequency (%)
716714 1
0.3%
153669 1
0.3%
60840 1
0.3%
57974 1
0.3%
57250 1
0.3%
54826 1
0.3%
45767 1
0.3%
45059 1
0.3%
39136 1
0.3%
33483 1
0.3%

2013
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct269
Distinct (%)96.4%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean10044.975
Minimum0
Maximum876465
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:39.469430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65.6
Q1550
median2931
Q37216
95-th percentile25600.2
Maximum876465
Range876465
Interquartile range (IQR)6666

Descriptive statistics

Standard deviation54546.719
Coefficient of variation (CV)5.4302495
Kurtosis231.50994
Mean10044.975
Median Absolute Deviation (MAD)2681
Skewness14.701644
Sum2802548
Variance2.9753446 × 109
MonotonicityNot monotonic
2024-03-23T14:51:39.641414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177 3
 
1.0%
3784 2
 
0.7%
74 2
 
0.7%
4774 2
 
0.7%
7240 2
 
0.7%
85 2
 
0.7%
0 2
 
0.7%
2769 2
 
0.7%
31 2
 
0.7%
66 1
 
0.3%
Other values (259) 259
86.6%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 2
0.7%
5 1
0.3%
12 1
0.3%
22 1
0.3%
23 1
0.3%
24 1
0.3%
29 1
0.3%
31 2
0.7%
40 1
0.3%
44 1
0.3%
ValueCountFrequency (%)
876465 1
0.3%
198642 1
0.3%
91017 1
0.3%
78962 1
0.3%
75726 1
0.3%
68502 1
0.3%
48244 1
0.3%
46717 1
0.3%
42039 1
0.3%
40842 1
0.3%

2014
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct270
Distinct (%)95.1%
Missing15
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean12082.908
Minimum3
Maximum1071295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:39.888066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile72.3
Q1816.5
median3593
Q38962.75
95-th percentile31685.1
Maximum1071295
Range1071292
Interquartile range (IQR)8146.25

Descriptive statistics

Standard deviation66033.313
Coefficient of variation (CV)5.465018
Kurtosis236.45557
Mean12082.908
Median Absolute Deviation (MAD)3339.5
Skewness14.865028
Sum3431546
Variance4.3603984 × 109
MonotonicityNot monotonic
2024-03-23T14:51:40.189457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162 3
 
1.0%
47 3
 
1.0%
2022 3
 
1.0%
140 2
 
0.7%
1491 2
 
0.7%
15339 2
 
0.7%
137 2
 
0.7%
112 2
 
0.7%
530 2
 
0.7%
84 2
 
0.7%
Other values (260) 261
87.3%
(Missing) 15
 
5.0%
ValueCountFrequency (%)
3 1
 
0.3%
7 1
 
0.3%
29 1
 
0.3%
41 1
 
0.3%
42 1
 
0.3%
45 1
 
0.3%
47 3
1.0%
48 1
 
0.3%
50 1
 
0.3%
61 1
 
0.3%
ValueCountFrequency (%)
1071295 1
0.3%
237060 1
0.3%
124778 1
0.3%
96783 1
0.3%
94997 1
0.3%
68031 1
0.3%
60455 1
0.3%
54971 1
0.3%
53824 1
0.3%
52865 1
0.3%

2015
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct275
Distinct (%)97.9%
Missing18
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean13940.018
Minimum2
Maximum1225864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:40.463285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile90
Q1764
median4460
Q39797
95-th percentile34177
Maximum1225864
Range1225862
Interquartile range (IQR)9033

Descriptive statistics

Standard deviation76329.507
Coefficient of variation (CV)5.4755674
Kurtosis229.64974
Mean13940.018
Median Absolute Deviation (MAD)4110
Skewness14.628084
Sum3917145
Variance5.8261937 × 109
MonotonicityNot monotonic
2024-03-23T14:51:40.819999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203 2
 
0.7%
154 2
 
0.7%
216 2
 
0.7%
34177 2
 
0.7%
279 2
 
0.7%
3 2
 
0.7%
120 1
 
0.3%
34 1
 
0.3%
11249 1
 
0.3%
5119 1
 
0.3%
Other values (265) 265
88.6%
(Missing) 18
 
6.0%
ValueCountFrequency (%)
2 1
0.3%
3 2
0.7%
12 1
0.3%
27 1
0.3%
34 1
0.3%
39 1
0.3%
40 1
0.3%
42 1
0.3%
53 1
0.3%
63 1
0.3%
ValueCountFrequency (%)
1225864 1
0.3%
300881 1
0.3%
156337 1
0.3%
116501 1
0.3%
93163 1
0.3%
70935 1
0.3%
69762 1
0.3%
68668 1
0.3%
53193 1
0.3%
46912 1
0.3%

2016
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct275
Distinct (%)97.9%
Missing18
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean12859.594
Minimum0
Maximum1134747
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:41.067314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59
Q1809
median3965
Q39004
95-th percentile32158
Maximum1134747
Range1134747
Interquartile range (IQR)8195

Descriptive statistics

Standard deviation71048.627
Coefficient of variation (CV)5.5249509
Kurtosis224.98472
Mean12859.594
Median Absolute Deviation (MAD)3580
Skewness14.463184
Sum3613546
Variance5.0479074 × 109
MonotonicityNot monotonic
2024-03-23T14:51:41.296547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 2
 
0.7%
3357 2
 
0.7%
104 2
 
0.7%
19433 2
 
0.7%
59 2
 
0.7%
38 2
 
0.7%
122 1
 
0.3%
34676 1
 
0.3%
235 1
 
0.3%
5293 1
 
0.3%
Other values (265) 265
88.6%
(Missing) 18
 
6.0%
ValueCountFrequency (%)
0 1
0.3%
12 1
0.3%
19 1
0.3%
28 1
0.3%
38 2
0.7%
42 1
0.3%
47 1
0.3%
49 1
0.3%
53 1
0.3%
54 1
0.3%
ValueCountFrequency (%)
1134747 1
0.3%
309070 1
0.3%
155052 1
0.3%
102045 1
0.3%
78852 1
0.3%
65922 1
0.3%
55187 1
0.3%
49721 1
0.3%
49225 1
0.3%
44576 1
0.3%

2017
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct271
Distinct (%)97.5%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean14845.327
Minimum1
Maximum1294151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:41.565387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96.2
Q1912.25
median4712
Q39607.75
95-th percentile35754.35
Maximum1294151
Range1294150
Interquartile range (IQR)8695.5

Descriptive statistics

Standard deviation81820.329
Coefficient of variation (CV)5.5115207
Kurtosis219.0237
Mean14845.327
Median Absolute Deviation (MAD)4126.5
Skewness14.26316
Sum4127001
Variance6.6945662 × 109
MonotonicityNot monotonic
2024-03-23T14:51:41.803764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
0.7%
4586 2
 
0.7%
964 2
 
0.7%
53 2
 
0.7%
27123 2
 
0.7%
98 2
 
0.7%
954 2
 
0.7%
1163 1
 
0.3%
1237 1
 
0.3%
642 1
 
0.3%
Other values (261) 261
87.3%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
1 2
0.7%
12 1
0.3%
13 1
0.3%
33 1
0.3%
36 1
0.3%
53 2
0.7%
56 1
0.3%
62 1
0.3%
63 1
0.3%
72 1
0.3%
ValueCountFrequency (%)
1294151 1
0.3%
383404 1
0.3%
165213 1
0.3%
97793 1
0.3%
93713 1
0.3%
78078 1
0.3%
65410 1
0.3%
57590 1
0.3%
56242 1
0.3%
48666 1
0.3%

2018
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct268
Distinct (%)96.1%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean15135.287
Minimum1
Maximum1321341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:42.015681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile99.7
Q1836.5
median4557
Q39447
95-th percentile42372.1
Maximum1321341
Range1321340
Interquartile range (IQR)8610.5

Descriptive statistics

Standard deviation84210.216
Coefficient of variation (CV)5.5638335
Kurtosis212.32659
Mean15135.287
Median Absolute Deviation (MAD)4049
Skewness14.034189
Sum4222745
Variance7.0913605 × 109
MonotonicityNot monotonic
2024-03-23T14:51:42.238813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58 3
 
1.0%
101 3
 
1.0%
407 2
 
0.7%
3502 2
 
0.7%
28283 2
 
0.7%
369 2
 
0.7%
135 2
 
0.7%
457 2
 
0.7%
2032 2
 
0.7%
49076 1
 
0.3%
Other values (258) 258
86.3%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
1 1
 
0.3%
3 1
 
0.3%
4 1
 
0.3%
40 1
 
0.3%
56 1
 
0.3%
58 3
1.0%
61 1
 
0.3%
62 1
 
0.3%
67 1
 
0.3%
70 1
 
0.3%
ValueCountFrequency (%)
1321341 1
0.3%
447266 1
0.3%
161086 1
0.3%
80863 1
0.3%
78721 1
0.3%
64500 1
0.3%
62975 1
0.3%
53362 1
0.3%
51097 1
0.3%
50792 1
0.3%

2019
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct269
Distinct (%)96.8%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean13990.647
Minimum2
Maximum1217661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:42.757303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile99.95
Q1601.5
median3882.5
Q39205.75
95-th percentile37017.05
Maximum1217661
Range1217659
Interquartile range (IQR)8604.25

Descriptive statistics

Standard deviation77388.432
Coefficient of variation (CV)5.5314403
Kurtosis214.98814
Mean13990.647
Median Absolute Deviation (MAD)3537.5
Skewness14.125383
Sum3889400
Variance5.9889694 × 109
MonotonicityNot monotonic
2024-03-23T14:51:42.969903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118 2
 
0.7%
1749 2
 
0.7%
20632 2
 
0.7%
276 2
 
0.7%
54 2
 
0.7%
138 2
 
0.7%
470 2
 
0.7%
1400 2
 
0.7%
524 2
 
0.7%
2206 1
 
0.3%
Other values (259) 259
86.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
2 1
0.3%
5 1
0.3%
23 1
0.3%
31 1
0.3%
33 1
0.3%
37 1
0.3%
41 1
0.3%
48 1
0.3%
54 2
0.7%
70 1
0.3%
ValueCountFrequency (%)
1217661 1
0.3%
391646 1
0.3%
129610 1
0.3%
89986 1
0.3%
89379 1
0.3%
72952 1
0.3%
67810 1
0.3%
47043 1
0.3%
46138 1
0.3%
44214 1
0.3%

2020
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct272
Distinct (%)97.8%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean18099.95
Minimum1
Maximum1575375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:43.199811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile104.7
Q1943
median5590
Q312241
95-th percentile44474
Maximum1575375
Range1575374
Interquartile range (IQR)11298

Descriptive statistics

Standard deviation99669.869
Coefficient of variation (CV)5.5066379
Kurtosis218.49595
Mean18099.95
Median Absolute Deviation (MAD)4991
Skewness14.246288
Sum5031786
Variance9.9340828 × 109
MonotonicityNot monotonic
2024-03-23T14:51:43.395028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283 2
 
0.7%
25214 2
 
0.7%
137 2
 
0.7%
163 2
 
0.7%
156 2
 
0.7%
300 2
 
0.7%
1108 1
 
0.3%
446 1
 
0.3%
457 1
 
0.3%
7022 1
 
0.3%
Other values (262) 262
87.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
1 1
0.3%
12 1
0.3%
27 1
0.3%
37 1
0.3%
40 1
0.3%
41 1
0.3%
43 1
0.3%
68 1
0.3%
69 1
0.3%
70 1
0.3%
ValueCountFrequency (%)
1575375 1
0.3%
475919 1
0.3%
166847 1
0.3%
132574 1
0.3%
121226 1
0.3%
99998 1
0.3%
95351 1
0.3%
69159 1
0.3%
59202 1
0.3%
55615 1
0.3%

2021
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct272
Distinct (%)97.5%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean13477.032
Minimum1
Maximum1176473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:43.596286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile93.5
Q1971.5
median4137
Q38816.5
95-th percentile30672.6
Maximum1176473
Range1176472
Interquartile range (IQR)7845

Descriptive statistics

Standard deviation73817.78
Coefficient of variation (CV)5.4773023
Kurtosis224.66355
Mean13477.032
Median Absolute Deviation (MAD)3482
Skewness14.468647
Sum3760092
Variance5.4490646 × 109
MonotonicityNot monotonic
2024-03-23T14:51:43.776767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8419 2
 
0.7%
141 2
 
0.7%
6314 2
 
0.7%
12795 2
 
0.7%
1 2
 
0.7%
6353 2
 
0.7%
1744 2
 
0.7%
4577 1
 
0.3%
2916 1
 
0.3%
719 1
 
0.3%
Other values (262) 262
87.6%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
1 2
0.7%
3 1
0.3%
11 1
0.3%
19 1
0.3%
23 1
0.3%
49 1
0.3%
51 1
0.3%
53 1
0.3%
65 1
0.3%
66 1
0.3%
ValueCountFrequency (%)
1176473 1
0.3%
327992 1
0.3%
95072 1
0.3%
93648 1
0.3%
89469 1
0.3%
81562 1
0.3%
71676 1
0.3%
71239 1
0.3%
57685 1
0.3%
51366 1
0.3%

2022
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct270
Distinct (%)96.8%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean7420.9176
Minimum0
Maximum649652
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:43.967416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.7
Q1665.5
median1887
Q34767
95-th percentile20640.8
Maximum649652
Range649652
Interquartile range (IQR)4101.5

Descriptive statistics

Standard deviation40484.384
Coefficient of variation (CV)5.4554418
Kurtosis230.4795
Mean7420.9176
Median Absolute Deviation (MAD)1587
Skewness14.672751
Sum2070436
Variance1.6389854 × 109
MonotonicityNot monotonic
2024-03-23T14:51:44.167340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 3
 
1.0%
4338 2
 
0.7%
4 2
 
0.7%
82 2
 
0.7%
6730 2
 
0.7%
6197 2
 
0.7%
1379 2
 
0.7%
780 2
 
0.7%
7059 1
 
0.3%
4541 1
 
0.3%
Other values (260) 260
87.0%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 1
0.3%
4 2
0.7%
10 1
0.3%
13 1
0.3%
21 1
0.3%
32 1
0.3%
44 1
0.3%
45 1
0.3%
46 1
0.3%
49 1
0.3%
ValueCountFrequency (%)
649652 1
0.3%
158381 1
0.3%
55433 1
0.3%
50340 1
0.3%
44354 1
0.3%
43961 1
0.3%
41207 1
0.3%
38595 1
0.3%
34413 1
0.3%
32534 1
0.3%

2023
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct271
Distinct (%)96.8%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean8370.9964
Minimum0
Maximum736843
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T14:51:44.430664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62.4
Q1538.75
median2452.5
Q35071.25
95-th percentile23857.45
Maximum736843
Range736843
Interquartile range (IQR)4532.5

Descriptive statistics

Standard deviation46073.857
Coefficient of variation (CV)5.5039871
Kurtosis226.84878
Mean8370.9964
Median Absolute Deviation (MAD)2089
Skewness14.535071
Sum2343879
Variance2.1228003 × 109
MonotonicityNot monotonic
2024-03-23T14:51:44.725201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 2
 
0.7%
237 2
 
0.7%
87 2
 
0.7%
63 2
 
0.7%
6121 2
 
0.7%
154 2
 
0.7%
75 2
 
0.7%
4996 2
 
0.7%
628 2
 
0.7%
517 1
 
0.3%
Other values (261) 261
87.3%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
0 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
7 1
0.3%
10 1
0.3%
22 1
0.3%
39 2
0.7%
41 1
0.3%
44 1
0.3%
ValueCountFrequency (%)
736843 1
0.3%
194922 1
0.3%
83922 1
0.3%
53880 1
0.3%
49967 1
0.3%
46846 1
0.3%
43824 1
0.3%
36608 1
0.3%
34345 1
0.3%
33382 1
0.3%

Interactions

2024-03-23T14:51:30.661401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:46.313138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:48.846906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:51.383328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:53.672301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:56.452806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:58.947358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:01.158615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:04.423656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:06.934131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:09.118347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:11.182301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:13.775823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:16.146553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:18.943036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:22.245708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:25.036525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:27.730265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:50:46.405236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T14:50:50.640062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:52.720133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:55.275366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:58.140213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:00.260181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:03.092057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:06.110443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:08.407684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:10.516172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:12.970640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:15.371997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:17.903552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:21.193469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:24.055670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:26.973298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:29.729159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:32.591243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:48.128820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:50.762115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:52.919430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:55.433100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:58.275511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:00.372713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:03.265431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:06.253295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:08.528239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:10.629777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:13.099479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:15.513720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:18.063337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:21.365341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:24.260389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:27.084421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:29.851724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:32.769044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:48.276752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:50.876325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:53.103330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:55.558649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:58.480818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:00.536164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:03.412395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:06.393937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:08.642581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:10.728090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:13.229043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:15.629963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:18.229665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:21.535122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:24.437056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:27.189052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:29.984757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:32.941948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:48.421432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:51.012388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:53.271002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:55.683436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:58.636077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:00.722632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:03.566451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:06.544654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:08.770001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:10.853974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:13.383835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:15.749823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:18.426212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:21.756740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:24.594514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:27.319383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:30.145550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:33.071558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:48.554365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:51.152695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:53.433513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:56.216756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:58.752384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:00.867795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:03.719218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:06.669107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:08.888172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:10.968109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:13.512025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:15.857385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:18.625977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:21.928431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:24.722160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:27.467940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:30.360277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:33.213569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:48.687956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:51.258323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:53.562508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:56.346618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:50:58.841007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:01.025345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:03.913054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:06.788418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:08.984550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:11.069385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:13.628585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:15.968012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:18.783136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:22.080051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:24.869529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:27.599979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:51:30.513241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:51:44.904516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20071.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20081.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20091.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20100.9810.9810.9810.9811.0001.0001.0000.9810.9810.9810.9810.9810.9810.9810.9811.0001.0000.981
20111.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20131.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20141.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20151.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20161.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20171.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20181.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20191.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20201.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20211.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20221.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20231.0001.0001.0001.0000.9811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-23T14:51:45.125415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.9420.9220.9430.9180.9300.9220.9300.9350.9420.9290.9340.9380.9380.9490.9020.8380.910
20070.9421.0000.9630.9440.9460.9490.9390.9370.9360.9340.9210.9160.9140.9190.9290.9150.8850.921
20080.9220.9631.0000.9510.9450.9500.9440.9420.9380.9350.9240.9150.9190.9180.9260.9160.8790.913
20090.9430.9440.9511.0000.9600.9580.9500.9540.9560.9530.9410.9360.9310.9330.9440.9150.8730.930
20100.9180.9460.9450.9601.0000.9700.9620.9590.9450.9370.9180.9140.9200.9260.9320.9240.8980.928
20110.9300.9490.9500.9580.9701.0000.9750.9680.9580.9480.9230.9260.9220.9360.9430.9280.9000.930
20120.9220.9390.9440.9500.9620.9751.0000.9760.9600.9490.9250.9230.9230.9310.9420.9350.9010.928
20130.9300.9370.9420.9540.9590.9680.9761.0000.9720.9630.9390.9360.9300.9390.9470.9190.8830.925
20140.9350.9360.9380.9560.9450.9580.9600.9721.0000.9790.9520.9480.9300.9390.9500.9150.8810.923
20150.9420.9340.9350.9530.9370.9480.9490.9630.9791.0000.9690.9570.9430.9450.9520.9130.8760.922
20160.9290.9210.9240.9410.9180.9230.9250.9390.9520.9691.0000.9680.9470.9460.9430.9090.8600.918
20170.9340.9160.9150.9360.9140.9260.9230.9360.9480.9570.9681.0000.9550.9560.9530.9180.8590.926
20180.9380.9140.9190.9310.9200.9220.9230.9300.9300.9430.9470.9551.0000.9610.9540.9260.8770.922
20190.9380.9190.9180.9330.9260.9360.9310.9390.9390.9450.9460.9560.9611.0000.9650.9160.8680.939
20200.9490.9290.9260.9440.9320.9430.9420.9470.9500.9520.9430.9530.9540.9651.0000.9370.8770.941
20210.9020.9150.9160.9150.9240.9280.9350.9190.9150.9130.9090.9180.9260.9160.9371.0000.9230.934
20220.8380.8850.8790.8730.8980.9000.9010.8830.8810.8760.8600.8590.8770.8680.8770.9231.0000.922
20230.9100.9210.9130.9300.9280.9300.9280.9250.9230.9220.9180.9260.9220.9390.9410.9340.9221.000

Missing values

2024-03-23T14:51:33.446370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:51:33.859581image/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.
2024-03-23T14:51:34.175842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지역200620072008200920102011201220132014201520162017201820192020202120222023
0전국106067377599481855585339577613790608371671487646510712951225864113474712941511321341121766115753751176473649652736843
1서울182299884488817110445266301805376084091017124778156337155052165213161086129610166847936484120783922
2서울 종로구129795315178294986806281108104214471336256212409661181838345394
3서울 중구200499682420451696127416891085171124832493225721071400213416541096714
4서울 용산구386929551426212316911480945157423732810396050224557211941031744780866
5서울 성동구599418892328373017852615172630205271847968147036474038834906263217243049
6서울 광진구47492521154625211223161513691338225825352630304925602957288612668051850
7서울 동대문구6024429131202991209233262556378455736405701157826096915763293213330410141
8서울 중랑구563537613007219019442547201628945370466240314820532939444128237813872354
9서울 성북구10847567750165038371346712934415752997585647178749181100246826431718875598
지역200620072008200920102011201220132014201520162017201820192020202120222023
289경남 거창군4343807634374914675386148315711549741100856156513671455522
290경남 합천군180997691275137143138211148831181011201171169475
291(구)제주3280<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
292(구)제주 (구)제주시2993<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293(구)제주 (구)서귀포시205<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
294(구)제주 (구)북제주군38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
295(구)제주 (구)남제주군44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
296제주204533753288294653876088577965246983864581557090656747265130669844143349
297제주 제주시186328122278238147995088487149695508484143934856463333253529470832532428
298제주 서귀포시182563101056558810009081555147538043762223419341401160119901161921