Overview

Dataset statistics

Number of variables19
Number of observations299
Missing cells507
Missing cells (%)8.9%
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 건축물 거래현황의 연도별 외국인 거래(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068252/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 72 (24.1%) missing valuesMissing
2007 has 42 (14.0%) missing valuesMissing
2008 has 34 (11.4%) missing valuesMissing
2009 has 28 (9.4%) missing valuesMissing
2010 has 44 (14.7%) missing valuesMissing
2011 has 37 (12.4%) missing valuesMissing
2012 has 23 (7.7%) missing valuesMissing
2013 has 20 (6.7%) missing valuesMissing
2014 has 28 (9.4%) missing valuesMissing
2015 has 22 (7.4%) missing valuesMissing
2016 has 19 (6.4%) missing valuesMissing
2017 has 20 (6.7%) missing valuesMissing
2018 has 19 (6.4%) missing valuesMissing
2019 has 20 (6.7%) missing valuesMissing
2020 has 20 (6.7%) 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
2006 has 62 (20.7%) zerosZeros
2007 has 104 (34.8%) zerosZeros
2008 has 102 (34.1%) zerosZeros
2009 has 87 (29.1%) zerosZeros
2010 has 65 (21.7%) zerosZeros
2011 has 75 (25.1%) zerosZeros
2012 has 81 (27.1%) zerosZeros
2013 has 78 (26.1%) zerosZeros
2014 has 61 (20.4%) zerosZeros
2015 has 59 (19.7%) zerosZeros
2016 has 61 (20.4%) zerosZeros
2017 has 57 (19.1%) zerosZeros
2018 has 62 (20.7%) zerosZeros
2019 has 65 (21.7%) zerosZeros
2020 has 49 (16.4%) zerosZeros
2021 has 49 (16.4%) zerosZeros
2022 has 52 (17.4%) zerosZeros
2023 has 51 (17.1%) zerosZeros

Reproduction

Analysis started2024-03-23 04:03:19.540012
Analysis finished2024-03-23 04:05:25.418183
Duration2 minutes and 5.88 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
2024-03-23T04:05:26.194736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.3712375
Min length2

Characters and Unicode

Total characters1905
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%
2024-03-23T04:05:27.898678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
16.6%
138
 
7.2%
122
 
6.4%
109
 
5.7%
93
 
4.9%
89
 
4.7%
72
 
3.8%
56
 
2.9%
50
 
2.6%
48
 
2.5%
Other values (137) 811
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1556
81.7%
Space Separator 317
 
16.6%
Open Punctuation 16
 
0.8%
Close Punctuation 16
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
138
 
8.9%
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%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1556
81.7%
Common 349
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
138
 
8.9%
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
90.8%
( 16
 
4.6%
) 16
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1556
81.7%
ASCII 349
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
90.8%
( 16
 
4.6%
) 16
 
4.6%
Hangul
ValueCountFrequency (%)
138
 
8.9%
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  ZEROS 

Distinct33
Distinct (%)14.5%
Missing72
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean12.268722
Minimum0
Maximum910
Zeros62
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:28.441519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile34.8
Maximum910
Range910
Interquartile range (IQR)5

Descriptive statistics

Standard deviation68.833087
Coefficient of variation (CV)5.6104527
Kurtosis134.98942
Mean12.268722
Median Absolute Deviation (MAD)2
Skewness11.048951
Sum2785
Variance4737.9938
MonotonicityNot monotonic
2024-03-23T04:05:28.980594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 62
20.7%
1 50
16.7%
2 28
 
9.4%
4 16
 
5.4%
5 13
 
4.3%
3 8
 
2.7%
7 7
 
2.3%
8 6
 
2.0%
6 5
 
1.7%
11 4
 
1.3%
Other values (23) 28
 
9.4%
(Missing) 72
24.1%
ValueCountFrequency (%)
0 62
20.7%
1 50
16.7%
2 28
9.4%
3 8
 
2.7%
4 16
 
5.4%
5 13
 
4.3%
6 5
 
1.7%
7 7
 
2.3%
8 6
 
2.0%
9 2
 
0.7%
ValueCountFrequency (%)
910 1
0.3%
429 1
0.3%
226 1
0.3%
124 1
0.3%
62 1
0.3%
53 1
0.3%
51 1
0.3%
47 1
0.3%
44 1
0.3%
43 1
0.3%

2007
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct25
Distinct (%)9.7%
Missing42
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean10.066148
Minimum0
Maximum819
Zeros104
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:29.441540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13.2
Maximum819
Range819
Interquartile range (IQR)3

Descriptive statistics

Standard deviation61.936771
Coefficient of variation (CV)6.1529765
Kurtosis128.1659
Mean10.066148
Median Absolute Deviation (MAD)1
Skewness10.77608
Sum2587
Variance3836.1636
MonotonicityNot monotonic
2024-03-23T04:05:29.824776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 104
34.8%
1 55
18.4%
2 27
 
9.0%
3 12
 
4.0%
4 10
 
3.3%
6 10
 
3.3%
5 7
 
2.3%
10 5
 
1.7%
7 4
 
1.3%
9 4
 
1.3%
Other values (15) 19
 
6.4%
(Missing) 42
14.0%
ValueCountFrequency (%)
0 104
34.8%
1 55
18.4%
2 27
 
9.0%
3 12
 
4.0%
4 10
 
3.3%
5 7
 
2.3%
6 10
 
3.3%
7 4
 
1.3%
8 2
 
0.7%
9 4
 
1.3%
ValueCountFrequency (%)
819 1
0.3%
490 1
0.3%
185 1
0.3%
155 1
0.3%
107 1
0.3%
93 1
0.3%
87 1
0.3%
76 1
0.3%
31 1
0.3%
25 1
0.3%

2008
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct26
Distinct (%)9.8%
Missing34
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean6.1358491
Minimum0
Maximum527
Zeros102
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:30.259457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12.8
Maximum527
Range527
Interquartile range (IQR)3

Descriptive statistics

Standard deviation35.897746
Coefficient of variation (CV)5.8504936
Kurtosis172.5876
Mean6.1358491
Median Absolute Deviation (MAD)1
Skewness12.470556
Sum1626
Variance1288.6481
MonotonicityNot monotonic
2024-03-23T04:05:30.720722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 102
34.1%
1 64
21.4%
2 24
 
8.0%
3 18
 
6.0%
5 13
 
4.3%
4 6
 
2.0%
9 6
 
2.0%
7 4
 
1.3%
12 4
 
1.3%
10 3
 
1.0%
Other values (16) 21
 
7.0%
(Missing) 34
 
11.4%
ValueCountFrequency (%)
0 102
34.1%
1 64
21.4%
2 24
 
8.0%
3 18
 
6.0%
4 6
 
2.0%
5 13
 
4.3%
6 3
 
1.0%
7 4
 
1.3%
8 2
 
0.7%
9 6
 
2.0%
ValueCountFrequency (%)
527 1
0.3%
184 1
0.3%
166 1
0.3%
49 1
0.3%
37 1
0.3%
32 1
0.3%
29 1
0.3%
27 1
0.3%
23 1
0.3%
22 1
0.3%

2009
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct35
Distinct (%)12.9%
Missing28
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean10.907749
Minimum0
Maximum941
Zeros87
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:31.273213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.5
95-th percentile25
Maximum941
Range941
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation63.484635
Coefficient of variation (CV)5.8201407
Kurtosis173.98597
Mean10.907749
Median Absolute Deviation (MAD)1
Skewness12.395451
Sum2956
Variance4030.2989
MonotonicityNot monotonic
2024-03-23T04:05:31.823586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 87
29.1%
1 49
16.4%
2 34
 
11.4%
3 19
 
6.4%
4 14
 
4.7%
5 10
 
3.3%
7 8
 
2.7%
6 7
 
2.3%
11 5
 
1.7%
9 5
 
1.7%
Other values (25) 33
 
11.0%
(Missing) 28
 
9.4%
ValueCountFrequency (%)
0 87
29.1%
1 49
16.4%
2 34
 
11.4%
3 19
 
6.4%
4 14
 
4.7%
5 10
 
3.3%
6 7
 
2.3%
7 8
 
2.7%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
941 1
0.3%
290 1
0.3%
240 1
0.3%
205 1
0.3%
173 1
0.3%
55 1
0.3%
49 1
0.3%
44 1
0.3%
42 1
0.3%
39 1
0.3%

2010
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct31
Distinct (%)12.2%
Missing44
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean8.4
Minimum0
Maximum680
Zeros65
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:32.408459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile19.6
Maximum680
Range680
Interquartile range (IQR)4

Descriptive statistics

Standard deviation45.987212
Coefficient of variation (CV)5.474668
Kurtosis182.85682
Mean8.4
Median Absolute Deviation (MAD)2
Skewness12.9187
Sum2142
Variance2114.8236
MonotonicityNot monotonic
2024-03-23T04:05:32.971509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 65
21.7%
1 45
15.1%
2 42
14.0%
3 22
 
7.4%
4 19
 
6.4%
5 9
 
3.0%
7 6
 
2.0%
6 6
 
2.0%
15 5
 
1.7%
10 5
 
1.7%
Other values (21) 31
10.4%
(Missing) 44
14.7%
ValueCountFrequency (%)
0 65
21.7%
1 45
15.1%
2 42
14.0%
3 22
 
7.4%
4 19
 
6.4%
5 9
 
3.0%
6 6
 
2.0%
7 6
 
2.0%
8 2
 
0.7%
9 4
 
1.3%
ValueCountFrequency (%)
680 1
0.3%
231 1
0.3%
144 1
0.3%
53 1
0.3%
46 1
0.3%
41 1
0.3%
37 1
0.3%
36 1
0.3%
30 1
0.3%
25 2
0.7%

2011
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct29
Distinct (%)11.1%
Missing37
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean8.4732824
Minimum0
Maximum697
Zeros75
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:33.431005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34.75
95-th percentile20
Maximum697
Range697
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation46.615954
Coefficient of variation (CV)5.5015225
Kurtosis185.94722
Mean8.4732824
Median Absolute Deviation (MAD)2
Skewness13.006683
Sum2220
Variance2173.0472
MonotonicityNot monotonic
2024-03-23T04:05:34.022172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 75
25.1%
1 39
13.0%
2 35
11.7%
3 32
10.7%
4 15
 
5.0%
6 9
 
3.0%
5 8
 
2.7%
8 6
 
2.0%
10 5
 
1.7%
12 4
 
1.3%
Other values (19) 34
11.4%
(Missing) 37
12.4%
ValueCountFrequency (%)
0 75
25.1%
1 39
13.0%
2 35
11.7%
3 32
10.7%
4 15
 
5.0%
5 8
 
2.7%
6 9
 
3.0%
7 2
 
0.7%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
697 1
 
0.3%
208 1
 
0.3%
198 1
 
0.3%
47 1
 
0.3%
45 1
 
0.3%
33 2
0.7%
29 1
 
0.3%
28 1
 
0.3%
26 1
 
0.3%
22 3
1.0%

2012
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct36
Distinct (%)13.0%
Missing23
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean9.1557971
Minimum0
Maximum804
Zeros81
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:34.688000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile24.25
Maximum804
Range804
Interquartile range (IQR)5

Descriptive statistics

Standard deviation51.653612
Coefficient of variation (CV)5.6416292
Kurtosis206.74931
Mean9.1557971
Median Absolute Deviation (MAD)2
Skewness13.728958
Sum2527
Variance2668.0956
MonotonicityNot monotonic
2024-03-23T04:05:35.351224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 81
27.1%
1 52
17.4%
2 35
11.7%
3 20
 
6.7%
4 14
 
4.7%
5 12
 
4.0%
8 8
 
2.7%
6 7
 
2.3%
13 6
 
2.0%
14 4
 
1.3%
Other values (26) 37
12.4%
(Missing) 23
 
7.7%
ValueCountFrequency (%)
0 81
27.1%
1 52
17.4%
2 35
11.7%
3 20
 
6.7%
4 14
 
4.7%
5 12
 
4.0%
6 7
 
2.3%
7 4
 
1.3%
8 8
 
2.7%
9 2
 
0.7%
ValueCountFrequency (%)
804 1
0.3%
206 1
0.3%
193 1
0.3%
60 2
0.7%
59 1
0.3%
57 1
0.3%
53 1
0.3%
38 1
0.3%
35 1
0.3%
29 1
0.3%

2013
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct36
Distinct (%)12.9%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean9.9498208
Minimum0
Maximum859
Zeros78
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:35.938651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile25.8
Maximum859
Range859
Interquartile range (IQR)5

Descriptive statistics

Standard deviation55.80114
Coefficient of variation (CV)5.6082558
Kurtosis196.32696
Mean9.9498208
Median Absolute Deviation (MAD)2
Skewness13.311475
Sum2776
Variance3113.7673
MonotonicityNot monotonic
2024-03-23T04:05:36.410540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 78
26.1%
1 53
17.7%
2 33
11.0%
3 28
 
9.4%
5 17
 
5.7%
4 10
 
3.3%
7 8
 
2.7%
6 7
 
2.3%
9 5
 
1.7%
18 5
 
1.7%
Other values (26) 35
11.7%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 78
26.1%
1 53
17.7%
2 33
11.0%
3 28
 
9.4%
4 10
 
3.3%
5 17
 
5.7%
6 7
 
2.3%
7 8
 
2.7%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
859 1
0.3%
270 1
0.3%
209 1
0.3%
75 1
0.3%
69 1
0.3%
68 1
0.3%
55 1
0.3%
43 1
0.3%
42 2
0.7%
41 1
0.3%

2014
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct40
Distinct (%)14.8%
Missing28
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean13.143911
Minimum0
Maximum1131
Zeros61
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:36.902410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile31.5
Maximum1131
Range1131
Interquartile range (IQR)6

Descriptive statistics

Standard deviation75.006849
Coefficient of variation (CV)5.7065851
Kurtosis186.73258
Mean13.143911
Median Absolute Deviation (MAD)2
Skewness12.990247
Sum3562
Variance5626.0274
MonotonicityNot monotonic
2024-03-23T04:05:37.547006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 61
20.4%
1 48
16.1%
2 37
12.4%
3 20
 
6.7%
5 18
 
6.0%
4 13
 
4.3%
7 9
 
3.0%
8 7
 
2.3%
10 6
 
2.0%
6 5
 
1.7%
Other values (30) 47
15.7%
(Missing) 28
9.4%
ValueCountFrequency (%)
0 61
20.4%
1 48
16.1%
2 37
12.4%
3 20
 
6.7%
4 13
 
4.3%
5 18
 
6.0%
6 5
 
1.7%
7 9
 
3.0%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
1131 1
0.3%
392 1
0.3%
258 1
0.3%
151 1
0.3%
84 1
0.3%
67 1
0.3%
62 1
0.3%
60 1
0.3%
54 1
0.3%
50 1
0.3%

2015
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct43
Distinct (%)15.5%
Missing22
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean16.382671
Minimum0
Maximum1436
Zeros59
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:37.980535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile35.4
Maximum1436
Range1436
Interquartile range (IQR)8

Descriptive statistics

Standard deviation94.330928
Coefficient of variation (CV)5.7579698
Kurtosis190.22041
Mean16.382671
Median Absolute Deviation (MAD)3
Skewness13.136771
Sum4538
Variance8898.324
MonotonicityNot monotonic
2024-03-23T04:05:38.619689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 59
19.7%
1 40
13.4%
2 34
11.4%
3 15
 
5.0%
5 15
 
5.0%
7 12
 
4.0%
6 12
 
4.0%
4 11
 
3.7%
10 8
 
2.7%
8 7
 
2.3%
Other values (33) 64
21.4%
(Missing) 22
 
7.4%
ValueCountFrequency (%)
0 59
19.7%
1 40
13.4%
2 34
11.4%
3 15
 
5.0%
4 11
 
3.7%
5 15
 
5.0%
6 12
 
4.0%
7 12
 
4.0%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
1436 1
0.3%
500 1
0.3%
372 1
0.3%
138 1
0.3%
92 1
0.3%
79 1
0.3%
78 1
0.3%
59 1
0.3%
56 1
0.3%
53 1
0.3%

2016
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct43
Distinct (%)15.4%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean17.907143
Minimum0
Maximum1592
Zeros61
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:39.191153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile38
Maximum1592
Range1592
Interquartile range (IQR)9

Descriptive statistics

Standard deviation105.36626
Coefficient of variation (CV)5.8840352
Kurtosis183.49603
Mean17.907143
Median Absolute Deviation (MAD)3
Skewness12.864874
Sum5014
Variance11102.049
MonotonicityNot monotonic
2024-03-23T04:05:39.991574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 61
20.4%
1 48
16.1%
3 23
 
7.7%
4 21
 
7.0%
2 17
 
5.7%
5 12
 
4.0%
10 9
 
3.0%
8 8
 
2.7%
7 6
 
2.0%
6 6
 
2.0%
Other values (33) 69
23.1%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
0 61
20.4%
1 48
16.1%
2 17
 
5.7%
3 23
 
7.7%
4 21
 
7.0%
5 12
 
4.0%
6 6
 
2.0%
7 6
 
2.0%
8 8
 
2.7%
9 5
 
1.7%
ValueCountFrequency (%)
1592 1
 
0.3%
584 1
 
0.3%
450 1
 
0.3%
182 1
 
0.3%
142 1
 
0.3%
97 1
 
0.3%
77 1
 
0.3%
62 1
 
0.3%
44 2
0.7%
39 3
1.0%

2017
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct57
Distinct (%)20.4%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean21.247312
Minimum0
Maximum1882
Zeros57
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:40.955455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311.5
95-th percentile53.4
Maximum1882
Range1882
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation123.13556
Coefficient of variation (CV)5.7953478
Kurtosis191.73377
Mean21.247312
Median Absolute Deviation (MAD)3
Skewness13.178641
Sum5928
Variance15162.367
MonotonicityNot monotonic
2024-03-23T04:05:41.957844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
19.1%
1 49
16.4%
2 28
 
9.4%
3 22
 
7.4%
6 14
 
4.7%
4 12
 
4.0%
11 7
 
2.3%
13 6
 
2.0%
14 6
 
2.0%
5 6
 
2.0%
Other values (47) 72
24.1%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 57
19.1%
1 49
16.4%
2 28
9.4%
3 22
 
7.4%
4 12
 
4.0%
5 6
 
2.0%
6 14
 
4.7%
7 4
 
1.3%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
1882 1
0.3%
608 1
0.3%
544 1
0.3%
168 1
0.3%
97 1
0.3%
95 1
0.3%
82 1
0.3%
74 1
0.3%
70 1
0.3%
67 1
0.3%

2018
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct55
Distinct (%)19.6%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean22.721429
Minimum0
Maximum2031
Zeros62
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:42.834503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile55
Maximum2031
Range2031
Interquartile range (IQR)10

Descriptive statistics

Standard deviation134.77822
Coefficient of variation (CV)5.9317671
Kurtosis181.82003
Mean22.721429
Median Absolute Deviation (MAD)3
Skewness12.802844
Sum6362
Variance18165.169
MonotonicityNot monotonic
2024-03-23T04:05:44.239672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
20.7%
1 48
16.1%
2 27
 
9.0%
3 19
 
6.4%
4 16
 
5.4%
10 10
 
3.3%
5 8
 
2.7%
6 6
 
2.0%
9 5
 
1.7%
7 5
 
1.7%
Other values (45) 74
24.7%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
0 62
20.7%
1 48
16.1%
2 27
9.0%
3 19
 
6.4%
4 16
 
5.4%
5 8
 
2.7%
6 6
 
2.0%
7 5
 
1.7%
8 1
 
0.3%
9 5
 
1.7%
ValueCountFrequency (%)
2031 1
0.3%
746 1
0.3%
604 1
0.3%
206 1
0.3%
144 1
0.3%
110 1
0.3%
98 1
0.3%
96 1
0.3%
76 1
0.3%
74 1
0.3%

2019
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct48
Distinct (%)17.2%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean19.777778
Minimum0
Maximum1725
Zeros65
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:44.701222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile44.3
Maximum1725
Range1725
Interquartile range (IQR)8

Descriptive statistics

Standard deviation118.09572
Coefficient of variation (CV)5.9711317
Kurtosis167.04996
Mean19.777778
Median Absolute Deviation (MAD)3
Skewness12.365144
Sum5518
Variance13946.598
MonotonicityNot monotonic
2024-03-23T04:05:45.344637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 65
21.7%
1 43
14.4%
2 27
 
9.0%
3 27
 
9.0%
5 13
 
4.3%
4 11
 
3.7%
7 7
 
2.3%
6 7
 
2.3%
9 6
 
2.0%
21 4
 
1.3%
Other values (38) 69
23.1%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 65
21.7%
1 43
14.4%
2 27
9.0%
3 27
9.0%
4 11
 
3.7%
5 13
 
4.3%
6 7
 
2.3%
7 7
 
2.3%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
1725 1
0.3%
875 1
0.3%
328 1
0.3%
197 1
0.3%
140 1
0.3%
111 1
0.3%
96 1
0.3%
70 1
0.3%
68 2
0.7%
67 1
0.3%

2020
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct56
Distinct (%)20.1%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean29.132616
Minimum0
Maximum2513
Zeros49
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:45.893083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311.5
95-th percentile63.7
Maximum2513
Range2513
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation170.37247
Coefficient of variation (CV)5.8481691
Kurtosis169.96141
Mean29.132616
Median Absolute Deviation (MAD)3
Skewness12.356839
Sum8128
Variance29026.777
MonotonicityNot monotonic
2024-03-23T04:05:46.601076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 50
16.7%
0 49
16.4%
2 31
 
10.4%
3 17
 
5.7%
4 16
 
5.4%
5 10
 
3.3%
7 9
 
3.0%
8 6
 
2.0%
9 6
 
2.0%
11 6
 
2.0%
Other values (46) 79
26.4%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 49
16.4%
1 50
16.7%
2 31
10.4%
3 17
 
5.7%
4 16
 
5.4%
5 10
 
3.3%
6 4
 
1.3%
7 9
 
3.0%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
2513 1
0.3%
1138 1
0.3%
544 1
0.3%
256 1
0.3%
238 1
0.3%
237 1
0.3%
211 1
0.3%
195 1
0.3%
184 1
0.3%
128 1
0.3%

2021
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct50
Distinct (%)17.9%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean24.315412
Minimum0
Maximum2173
Zeros49
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:47.138319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q310
95-th percentile58.8
Maximum2173
Range2173
Interquartile range (IQR)9

Descriptive statistics

Standard deviation142.83477
Coefficient of variation (CV)5.8742482
Kurtosis188.89916
Mean24.315412
Median Absolute Deviation (MAD)3
Skewness13.058273
Sum6784
Variance20401.771
MonotonicityNot monotonic
2024-03-23T04:05:47.627800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
16.4%
1 39
13.0%
2 32
10.7%
5 21
 
7.0%
4 20
 
6.7%
3 17
 
5.7%
7 9
 
3.0%
6 8
 
2.7%
8 7
 
2.3%
14 5
 
1.7%
Other values (40) 72
24.1%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 49
16.4%
1 39
13.0%
2 32
10.7%
3 17
 
5.7%
4 20
6.7%
5 21
7.0%
6 8
 
2.7%
7 9
 
3.0%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
2173 1
0.3%
815 1
0.3%
388 1
0.3%
332 1
0.3%
217 1
0.3%
161 1
0.3%
154 1
0.3%
107 1
0.3%
83 1
0.3%
82 1
0.3%

2022
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct45
Distinct (%)16.1%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean15.175627
Minimum0
Maximum1343
Zeros52
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:48.206397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile37.1
Maximum1343
Range1343
Interquartile range (IQR)8

Descriptive statistics

Standard deviation87.022167
Coefficient of variation (CV)5.7343374
Kurtosis198.73035
Mean15.175627
Median Absolute Deviation (MAD)3
Skewness13.437
Sum4234
Variance7572.8575
MonotonicityNot monotonic
2024-03-23T04:05:48.725119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 52
17.4%
1 51
17.1%
2 36
12.0%
3 22
 
7.4%
4 13
 
4.3%
5 12
 
4.0%
6 12
 
4.0%
11 6
 
2.0%
7 6
 
2.0%
9 6
 
2.0%
Other values (35) 63
21.1%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
0 52
17.4%
1 51
17.1%
2 36
12.0%
3 22
7.4%
4 13
 
4.3%
5 12
 
4.0%
6 12
 
4.0%
7 6
 
2.0%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
1343 1
0.3%
441 1
0.3%
291 1
0.3%
175 1
0.3%
91 1
0.3%
88 1
0.3%
66 1
0.3%
51 1
0.3%
50 1
0.3%
42 1
0.3%

2023
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct40
Distinct (%)14.3%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean15.003571
Minimum0
Maximum1326
Zeros51
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T04:05:49.321284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q38
95-th percentile35.1
Maximum1326
Range1326
Interquartile range (IQR)7

Descriptive statistics

Standard deviation88.282598
Coefficient of variation (CV)5.8841056
Kurtosis182.29222
Mean15.003571
Median Absolute Deviation (MAD)2
Skewness12.927974
Sum4201
Variance7793.8172
MonotonicityNot monotonic
2024-03-23T04:05:49.828613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 58
19.4%
0 51
17.1%
2 37
12.4%
4 18
 
6.0%
5 16
 
5.4%
3 15
 
5.0%
7 9
 
3.0%
8 7
 
2.3%
9 6
 
2.0%
12 5
 
1.7%
Other values (30) 58
19.4%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
0 51
17.1%
1 58
19.4%
2 37
12.4%
3 15
 
5.0%
4 18
 
6.0%
5 16
 
5.4%
6 5
 
1.7%
7 9
 
3.0%
8 7
 
2.3%
9 6
 
2.0%
ValueCountFrequency (%)
1326 1
0.3%
602 1
0.3%
175 1
0.3%
160 1
0.3%
119 1
0.3%
91 1
0.3%
60 1
0.3%
57 1
0.3%
48 1
0.3%
45 1
0.3%

Interactions

2024-03-23T04:05:16.417377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:21.432214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:28.080498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:33.034967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:39.626294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:45.624620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:51.907876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:02.262827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:08.978892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:14.987908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:21.177976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:28.077914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:36.097673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:42.548464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:49.336945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:55.580933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:01.866799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:09.716074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:16.647595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:21.674114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:28.441937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:33.244372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:39.908225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-23T04:04:12.975702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:18.958851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:25.946900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:33.369210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:40.363870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:47.136062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:53.413888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:59.843056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:06.395288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:14.274763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:20.481126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:26.668266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:31.544944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:37.402392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:44.067972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:50.105098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:58.276015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:07.117880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:13.374835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:19.480860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:26.330541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:34.009145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:40.757686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:47.583884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:53.863865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:00.358350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:07.161620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:14.693227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:20.870414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:27.078002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:31.832108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:38.128034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:44.534964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:50.501535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:00.646667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:07.513028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:13.770581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:19.791496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:26.800747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:34.525091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:41.131171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:47.958438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:54.269858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:00.683794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:07.648319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:15.100550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:21.240718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:27.342154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:32.116588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:38.559443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:44.787189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:50.851642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:01.040892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:07.838981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:14.108733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:20.129091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:27.084730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:34.976396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:41.450477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:48.274076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:54.566133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:00.957044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:08.164652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:15.600362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:21.562218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:27.599497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:32.438481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:38.826594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:45.087243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:51.181834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:01.341916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:08.212032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:14.332765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:20.494945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:27.434121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:35.356563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:41.843476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:48.628973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:54.858968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:01.187303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:08.647919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:15.848420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:21.927918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:27.842100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:32.721263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:39.238225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:45.375180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:03:51.562847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:01.662647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:08.604265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:14.590983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:20.833716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:27.727008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:35.723384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:42.231796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:48.995950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:04:55.227627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:01.520705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:09.327635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:05:16.156185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:05:50.159746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.9951.0000.9911.0001.0001.0001.0000.9911.0000.9911.0000.9910.9060.9910.9060.9910.906
20070.9951.0001.0000.9911.0001.0001.0001.0000.9911.0000.9911.0000.9910.9060.9910.9060.9910.906
20081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.8611.0000.8611.0000.861
20090.9910.9911.0001.0001.0001.0001.0001.0000.9911.0000.9911.0000.9980.9370.9910.9370.9980.937
20101.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9961.0000.9961.0000.996
20111.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.8611.0000.8611.0000.861
20121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.8611.0000.8611.0000.861
20131.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9961.0000.9961.0000.996
20140.9910.9911.0000.9911.0001.0001.0001.0001.0001.0000.9911.0000.9910.9060.9910.9060.9910.906
20151.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9961.0000.9961.0000.996
20160.9910.9911.0000.9911.0001.0001.0001.0000.9911.0001.0001.0000.9910.9060.9910.9060.9910.906
20171.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9961.0000.9961.0000.996
20180.9910.9911.0000.9981.0001.0001.0001.0000.9911.0000.9911.0001.0001.0000.9911.0001.0001.000
20190.9060.9060.8610.9370.9960.8610.8610.9960.9060.9960.9060.9961.0001.0000.9061.0001.0001.000
20200.9910.9911.0000.9911.0001.0001.0001.0000.9911.0000.9911.0000.9910.9061.0000.9060.9910.906
20210.9060.9060.8610.9370.9960.8610.8610.9960.9060.9960.9060.9961.0001.0000.9061.0001.0001.000
20220.9910.9911.0000.9981.0001.0001.0001.0000.9911.0000.9911.0001.0001.0000.9911.0001.0001.000
20230.9060.9060.8610.9370.9960.8610.8610.9960.9060.9960.9060.9961.0001.0000.9061.0001.0001.000
2024-03-23T04:05:50.790717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.7170.6940.7190.7240.7270.6790.7390.7210.7890.7490.7580.7470.7440.7590.7050.6600.690
20070.7171.0000.8280.8190.7570.8250.7620.8190.8220.8460.8440.8270.8230.8100.8140.7690.7520.756
20080.6940.8281.0000.7940.7080.7860.7620.7940.7950.8310.8240.8220.8240.8000.8240.7860.7500.780
20090.7190.8190.7941.0000.7770.8620.8190.8680.8470.8720.8580.8670.8130.8190.8230.8030.7700.798
20100.7240.7570.7080.7771.0000.8300.7960.8330.8130.8260.8280.8020.7770.7880.7840.7640.7340.731
20110.7270.8250.7860.8620.8301.0000.8800.8870.8920.8870.8960.8780.8570.8580.8640.8500.8150.812
20120.6790.7620.7620.8190.7960.8801.0000.8700.8630.8670.8500.8530.8250.8060.8420.8160.7990.782
20130.7390.8190.7940.8680.8330.8870.8701.0000.9040.9030.8850.8940.8790.8630.8880.8650.8360.826
20140.7210.8220.7950.8470.8130.8920.8630.9041.0000.8900.8930.8850.8630.8600.8620.8420.8000.795
20150.7890.8460.8310.8720.8260.8870.8670.9030.8901.0000.9110.9080.8950.8870.9140.8730.8480.854
20160.7490.8440.8240.8580.8280.8960.8500.8850.8930.9111.0000.9270.9070.9170.9130.9010.8750.876
20170.7580.8270.8220.8670.8020.8780.8530.8940.8850.9080.9271.0000.9070.9190.9240.8910.8560.869
20180.7470.8230.8240.8130.7770.8570.8250.8790.8630.8950.9070.9071.0000.9240.9220.9060.8790.892
20190.7440.8100.8000.8190.7880.8580.8060.8630.8600.8870.9170.9190.9241.0000.9290.9000.8880.901
20200.7590.8140.8240.8230.7840.8640.8420.8880.8620.9140.9130.9240.9220.9291.0000.9130.8980.902
20210.7050.7690.7860.8030.7640.8500.8160.8650.8420.8730.9010.8910.9060.9000.9131.0000.9020.908
20220.6600.7520.7500.7700.7340.8150.7990.8360.8000.8480.8750.8560.8790.8880.8980.9021.0000.912
20230.6900.7560.7800.7980.7310.8120.7820.8260.7950.8540.8760.8690.8920.9010.9020.9080.9121.000

Missing values

2024-03-23T04:05:22.488107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:05:23.819622image/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.
2024-03-23T04:05:24.632299image/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
0전국9108195279416806978048591131143615921882203117252513217313431326
1서울429490184290231208193270392500450608604328544332291175
2서울 종로구437111015121342544315209617251976
3서울 중구124155691411533215344821101917149110
4서울 용산구1710822151514242735343131242627148
5서울 성동구8439488612181622101017656
6서울 광진구52563433101010912661374
7서울 동대문구44342324510108959445
8서울 중랑구242262224476544532
9서울 성북구76117610837111311141016985
지역200620072008200920102011201220132014201520162017201820192020202120222023
289경남 거창군000000000000000001
290경남 합천군<NA>00000100000000100
291(구)제주7000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
292(구)제주 (구)제주시1000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293(구)제주 (구)서귀포시2000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
294(구)제주 (구)북제주군1000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
295(구)제주 (구)남제주군4000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
296제주267582959751511389797983339586635
297제주 제주시2554520536884796259642329355021
298제주 서귀포시0112396767593538351010231614