Overview

Dataset statistics

Number of variables19
Number of observations299
Missing cells365
Missing cells (%)6.4%
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 주택 거래현황의 연도별 행정구역별(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15100934/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 22 (7.4%) missing valuesMissing
2007 has 27 (9.0%) missing valuesMissing
2008 has 25 (8.4%) 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 13 (4.3%) missing valuesMissing
2015 has 17 (5.7%) missing valuesMissing
2016 has 17 (5.7%) 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

Reproduction

Analysis started2024-03-30 08:46:39.322028
Analysis finished2024-03-30 08:48:45.651034
Duration2 minutes and 6.33 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
2024-03-30T08:48:46.508439image/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%
2024-03-30T08:48:47.776821image/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 

Distinct239
Distinct (%)86.3%
Missing22
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean1406
Minimum6
Maximum122482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:48.297987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile17.8
Q164
median441
Q3991
95-th percentile3377.8
Maximum122482
Range122476
Interquartile range (IQR)927

Descriptive statistics

Standard deviation7840.0184
Coefficient of variation (CV)5.5761155
Kurtosis209.50224
Mean1406
Median Absolute Deviation (MAD)398
Skewness13.895283
Sum389462
Variance61465888
MonotonicityNot monotonic
2024-03-30T08:48:48.877093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 4
 
1.3%
89 3
 
1.0%
52 3
 
1.0%
17 3
 
1.0%
15 3
 
1.0%
26 3
 
1.0%
38 3
 
1.0%
99 2
 
0.7%
42 2
 
0.7%
266 2
 
0.7%
Other values (229) 249
83.3%
(Missing) 22
 
7.4%
ValueCountFrequency (%)
6 1
 
0.3%
11 2
0.7%
12 1
 
0.3%
13 1
 
0.3%
14 2
0.7%
15 3
1.0%
16 1
 
0.3%
17 3
1.0%
18 2
0.7%
20 2
0.7%
ValueCountFrequency (%)
122482 1
0.3%
36953 1
0.3%
25820 1
0.3%
7272 1
0.3%
6685 1
0.3%
6210 1
0.3%
5926 1
0.3%
5095 1
0.3%
4487 1
0.3%
3957 1
0.3%

2007
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct228
Distinct (%)83.8%
Missing27
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean1127.1581
Minimum8
Maximum97846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:49.444494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile18.55
Q167.75
median370
Q3654
95-th percentile2869.4
Maximum97846
Range97838
Interquartile range (IQR)586.25

Descriptive statistics

Standard deviation6205.2878
Coefficient of variation (CV)5.5052506
Kurtosis220.39758
Mean1127.1581
Median Absolute Deviation (MAD)298
Skewness14.310334
Sum306587
Variance38505596
MonotonicityNot monotonic
2024-03-30T08:48:49.901711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 4
 
1.3%
29 4
 
1.3%
209 3
 
1.0%
32 3
 
1.0%
18 3
 
1.0%
31 3
 
1.0%
384 2
 
0.7%
572 2
 
0.7%
40 2
 
0.7%
16 2
 
0.7%
Other values (218) 244
81.6%
(Missing) 27
 
9.0%
ValueCountFrequency (%)
8 2
0.7%
9 1
 
0.3%
12 1
 
0.3%
14 1
 
0.3%
15 2
0.7%
16 2
0.7%
17 2
0.7%
18 3
1.0%
19 1
 
0.3%
20 2
0.7%
ValueCountFrequency (%)
97846 1
0.3%
23659 1
0.3%
15276 1
0.3%
7431 1
0.3%
6963 1
0.3%
6720 1
0.3%
5878 1
0.3%
5008 1
0.3%
4892 1
0.3%
4524 1
0.3%

2008
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct231
Distinct (%)84.3%
Missing25
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1066.938
Minimum7
Maximum93131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:50.494077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile21.65
Q178.5
median342.5
Q3697.25
95-th percentile2873.55
Maximum93131
Range93124
Interquartile range (IQR)618.75

Descriptive statistics

Standard deviation5859.5128
Coefficient of variation (CV)5.4918965
Kurtosis225.76616
Mean1066.938
Median Absolute Deviation (MAD)277.5
Skewness14.510992
Sum292341
Variance34333891
MonotonicityNot monotonic
2024-03-30T08:48:51.062626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 5
 
1.7%
148 3
 
1.0%
36 3
 
1.0%
38 3
 
1.0%
27 3
 
1.0%
12 2
 
0.7%
518 2
 
0.7%
29 2
 
0.7%
22 2
 
0.7%
17 2
 
0.7%
Other values (221) 247
82.6%
(Missing) 25
 
8.4%
ValueCountFrequency (%)
7 1
0.3%
12 2
0.7%
13 1
0.3%
14 1
0.3%
15 1
0.3%
16 2
0.7%
17 2
0.7%
18 1
0.3%
20 1
0.3%
21 2
0.7%
ValueCountFrequency (%)
93131 1
0.3%
21049 1
0.3%
13993 1
0.3%
7391 1
0.3%
6823 1
0.3%
6502 1
0.3%
5203 1
0.3%
4643 1
0.3%
4280 1
0.3%
4096 1
0.3%

2009
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct237
Distinct (%)86.5%
Missing25
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1099.0766
Minimum10
Maximum94707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:51.570800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q189.5
median368.5
Q3683.75
95-th percentile2803.7
Maximum94707
Range94697
Interquartile range (IQR)594.25

Descriptive statistics

Standard deviation5981.5766
Coefficient of variation (CV)5.4423653
Kurtosis222.38492
Mean1099.0766
Median Absolute Deviation (MAD)292
Skewness14.384366
Sum301147
Variance35779258
MonotonicityNot monotonic
2024-03-30T08:48:52.208402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451 3
 
1.0%
47 3
 
1.0%
30 3
 
1.0%
22 3
 
1.0%
39 3
 
1.0%
17 3
 
1.0%
32 2
 
0.7%
869 2
 
0.7%
18 2
 
0.7%
38 2
 
0.7%
Other values (227) 248
82.9%
(Missing) 25
 
8.4%
ValueCountFrequency (%)
10 1
 
0.3%
12 1
 
0.3%
13 1
 
0.3%
14 2
0.7%
16 1
 
0.3%
17 3
1.0%
18 2
0.7%
19 2
0.7%
20 2
0.7%
22 3
1.0%
ValueCountFrequency (%)
94707 1
0.3%
23633 1
0.3%
13644 1
0.3%
7619 1
0.3%
6505 1
0.3%
5742 1
0.3%
5032 1
0.3%
4983 1
0.3%
4440 1
0.3%
4250 1
0.3%

2010
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct232
Distinct (%)82.9%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean1032.6929
Minimum7
Maximum91171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:52.884575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile22.85
Q182.25
median304
Q3665.75
95-th percentile2852.55
Maximum91171
Range91164
Interquartile range (IQR)583.5

Descriptive statistics

Standard deviation5669.2468
Coefficient of variation (CV)5.4897705
Kurtosis231.63919
Mean1032.6929
Median Absolute Deviation (MAD)252
Skewness14.707634
Sum289154
Variance32140359
MonotonicityNot monotonic
2024-03-30T08:48:53.473435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 4
 
1.3%
19 4
 
1.3%
42 4
 
1.3%
52 3
 
1.0%
138 3
 
1.0%
41 3
 
1.0%
46 3
 
1.0%
18 3
 
1.0%
36 3
 
1.0%
272 3
 
1.0%
Other values (222) 247
82.6%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
7 1
 
0.3%
12 1
 
0.3%
13 2
0.7%
14 1
 
0.3%
18 3
1.0%
19 4
1.3%
20 2
0.7%
23 1
 
0.3%
24 1
 
0.3%
25 1
 
0.3%
ValueCountFrequency (%)
91171 1
0.3%
21268 1
0.3%
9466 1
0.3%
8993 1
0.3%
8517 1
0.3%
5049 1
0.3%
4855 1
0.3%
4615 1
0.3%
4410 1
0.3%
3756 1
0.3%

2011
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct246
Distinct (%)88.8%
Missing22
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean1211.2671
Minimum10
Maximum105217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:54.134460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile23
Q192
median403
Q3779
95-th percentile3466.2
Maximum105217
Range105207
Interquartile range (IQR)687

Descriptive statistics

Standard deviation6545.8352
Coefficient of variation (CV)5.4041218
Kurtosis233.36246
Mean1211.2671
Median Absolute Deviation (MAD)331
Skewness14.784458
Sum335521
Variance42847959
MonotonicityNot monotonic
2024-03-30T08:48:55.114905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 4
 
1.3%
60 4
 
1.3%
23 4
 
1.3%
36 3
 
1.0%
40 3
 
1.0%
42 3
 
1.0%
18 2
 
0.7%
133 2
 
0.7%
469 2
 
0.7%
104 2
 
0.7%
Other values (236) 248
82.9%
(Missing) 22
 
7.4%
ValueCountFrequency (%)
10 1
 
0.3%
15 1
 
0.3%
16 1
 
0.3%
17 1
 
0.3%
18 2
0.7%
19 1
 
0.3%
20 1
 
0.3%
21 2
0.7%
22 1
 
0.3%
23 4
1.3%
ValueCountFrequency (%)
105217 1
0.3%
21719 1
0.3%
11478 1
0.3%
9654 1
0.3%
7938 1
0.3%
7188 1
0.3%
6542 1
0.3%
6265 1
0.3%
5561 1
0.3%
4894 1
0.3%

2012
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct234
Distinct (%)83.9%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean977.12545
Minimum8
Maximum85542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:55.601855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile24
Q186.5
median308
Q3637.5
95-th percentile2941.1
Maximum85542
Range85534
Interquartile range (IQR)551

Descriptive statistics

Standard deviation5302.9226
Coefficient of variation (CV)5.4270643
Kurtosis235.11025
Mean977.12545
Median Absolute Deviation (MAD)244
Skewness14.845258
Sum272618
Variance28120989
MonotonicityNot monotonic
2024-03-30T08:48:56.230858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 4
 
1.3%
102 3
 
1.0%
45 3
 
1.0%
149 3
 
1.0%
23 3
 
1.0%
39 2
 
0.7%
46 2
 
0.7%
636 2
 
0.7%
690 2
 
0.7%
37 2
 
0.7%
Other values (224) 253
84.6%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
8 1
 
0.3%
14 1
 
0.3%
15 2
0.7%
18 2
0.7%
19 1
 
0.3%
20 1
 
0.3%
21 1
 
0.3%
22 1
 
0.3%
23 3
1.0%
24 2
0.7%
ValueCountFrequency (%)
85542 1
0.3%
18196 1
0.3%
8622 1
0.3%
6928 1
0.3%
6605 1
0.3%
6239 1
0.3%
5439 1
0.3%
5114 1
0.3%
4451 1
0.3%
4211 1
0.3%

2013
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct236
Distinct (%)84.6%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1125.2545
Minimum6
Maximum98330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:56.970634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile27
Q183.5
median385
Q3732.5
95-th percentile3032.9
Maximum98330
Range98324
Interquartile range (IQR)649

Descriptive statistics

Standard deviation6111.4952
Coefficient of variation (CV)5.4312116
Kurtosis232.71362
Mean1125.2545
Median Absolute Deviation (MAD)313
Skewness14.750767
Sum313946
Variance37350374
MonotonicityNot monotonic
2024-03-30T08:48:57.448728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 4
 
1.3%
23 3
 
1.0%
48 3
 
1.0%
50 3
 
1.0%
51 3
 
1.0%
404 3
 
1.0%
20 3
 
1.0%
170 3
 
1.0%
299 3
 
1.0%
78 3
 
1.0%
Other values (226) 248
82.9%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
6 1
 
0.3%
16 1
 
0.3%
19 1
 
0.3%
20 3
1.0%
23 3
1.0%
24 1
 
0.3%
25 1
 
0.3%
26 2
0.7%
27 2
0.7%
28 4
1.3%
ValueCountFrequency (%)
98330 1
0.3%
21660 1
0.3%
11243 1
0.3%
8377 1
0.3%
7916 1
0.3%
7906 1
0.3%
6350 1
0.3%
5093 1
0.3%
4426 1
0.3%
4390 1
0.3%

2014
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct244
Distinct (%)85.3%
Missing13
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean1377.4091
Minimum6
Maximum123434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:58.003878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile30
Q1117.25
median459.5
Q3937.5
95-th percentile3566.25
Maximum123434
Range123428
Interquartile range (IQR)820.25

Descriptive statistics

Standard deviation7571.0721
Coefficient of variation (CV)5.4966038
Kurtosis239.48603
Mean1377.4091
Median Absolute Deviation (MAD)375
Skewness14.968598
Sum393939
Variance57321132
MonotonicityNot monotonic
2024-03-30T08:48:58.603970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 4
 
1.3%
73 4
 
1.3%
443 3
 
1.0%
165 3
 
1.0%
28 3
 
1.0%
1118 2
 
0.7%
27 2
 
0.7%
126 2
 
0.7%
858 2
 
0.7%
750 2
 
0.7%
Other values (234) 259
86.6%
(Missing) 13
 
4.3%
ValueCountFrequency (%)
6 1
 
0.3%
16 2
0.7%
22 1
 
0.3%
24 2
0.7%
25 2
0.7%
26 1
 
0.3%
27 2
0.7%
28 3
1.0%
30 2
0.7%
31 1
 
0.3%
ValueCountFrequency (%)
123434 1
0.3%
25879 1
0.3%
15739 1
0.3%
10904 1
0.3%
10182 1
0.3%
9246 1
0.3%
7556 1
0.3%
6610 1
0.3%
6153 1
0.3%
5305 1
0.3%

2015
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct253
Distinct (%)89.7%
Missing17
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean1641.6277
Minimum5
Maximum144963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:48:59.180286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile32.1
Q1118.25
median557
Q31095.25
95-th percentile3668.45
Maximum144963
Range144958
Interquartile range (IQR)977

Descriptive statistics

Standard deviation9013.497
Coefficient of variation (CV)5.4905855
Kurtosis230.13127
Mean1641.6277
Median Absolute Deviation (MAD)468.5
Skewness14.64155
Sum462939
Variance81243127
MonotonicityNot monotonic
2024-03-30T08:48:59.735775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 4
 
1.3%
51 4
 
1.3%
50 4
 
1.3%
32 3
 
1.0%
30 3
 
1.0%
76 3
 
1.0%
48 3
 
1.0%
49 2
 
0.7%
41 2
 
0.7%
90 2
 
0.7%
Other values (243) 252
84.3%
(Missing) 17
 
5.7%
ValueCountFrequency (%)
5 1
 
0.3%
16 1
 
0.3%
19 1
 
0.3%
22 2
0.7%
24 1
 
0.3%
26 2
0.7%
27 1
 
0.3%
30 3
1.0%
32 3
1.0%
34 1
 
0.3%
ValueCountFrequency (%)
144963 1
0.3%
34325 1
0.3%
23246 1
0.3%
12322 1
0.3%
10264 1
0.3%
8774 1
0.3%
8401 1
0.3%
7791 1
0.3%
5615 1
0.3%
5000 1
0.3%

2016
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct252
Distinct (%)89.4%
Missing17
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean1495.9716
Minimum7
Maximum132529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:00.348250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile32.15
Q1118.25
median497.5
Q31041.75
95-th percentile3635.25
Maximum132529
Range132522
Interquartile range (IQR)923.5

Descriptive statistics

Standard deviation8284.4751
Coefficient of variation (CV)5.5378558
Kurtosis225.59493
Mean1495.9716
Median Absolute Deviation (MAD)424
Skewness14.47947
Sum421864
Variance68632528
MonotonicityNot monotonic
2024-03-30T08:49:00.893489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 3
 
1.0%
31 3
 
1.0%
42 3
 
1.0%
61 3
 
1.0%
731 2
 
0.7%
1065 2
 
0.7%
288 2
 
0.7%
53 2
 
0.7%
71 2
 
0.7%
132 2
 
0.7%
Other values (242) 258
86.3%
(Missing) 17
 
5.7%
ValueCountFrequency (%)
7 1
 
0.3%
17 1
 
0.3%
18 1
 
0.3%
20 1
 
0.3%
24 3
1.0%
25 1
 
0.3%
26 1
 
0.3%
30 2
0.7%
31 3
1.0%
32 1
 
0.3%
ValueCountFrequency (%)
132529 1
0.3%
34806 1
0.3%
22174 1
0.3%
10745 1
0.3%
8725 1
0.3%
7708 1
0.3%
6359 1
0.3%
6093 1
0.3%
5173 1
0.3%
4680 1
0.3%

2017
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct248
Distinct (%)88.9%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1601.5054
Minimum6
Maximum140378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:01.488151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile31.9
Q1113
median541
Q31095
95-th percentile3838.7
Maximum140378
Range140372
Interquartile range (IQR)982

Descriptive statistics

Standard deviation8841.8741
Coefficient of variation (CV)5.5209768
Kurtosis221.37784
Mean1601.5054
Median Absolute Deviation (MAD)445
Skewness14.343464
Sum446820
Variance78178737
MonotonicityNot monotonic
2024-03-30T08:49:02.048166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 4
 
1.3%
52 3
 
1.0%
27 3
 
1.0%
102 3
 
1.0%
762 2
 
0.7%
65 2
 
0.7%
93 2
 
0.7%
78 2
 
0.7%
25 2
 
0.7%
470 2
 
0.7%
Other values (238) 254
84.9%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
6 1
 
0.3%
15 1
 
0.3%
20 1
 
0.3%
24 2
0.7%
25 2
0.7%
26 1
 
0.3%
27 3
1.0%
28 1
 
0.3%
29 1
 
0.3%
31 1
 
0.3%
ValueCountFrequency (%)
140378 1
0.3%
39628 1
0.3%
21190 1
0.3%
9810 1
0.3%
9395 1
0.3%
8475 1
0.3%
6921 1
0.3%
6666 1
0.3%
5649 1
0.3%
5081 1
0.3%

2018
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct246
Distinct (%)87.9%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean1552.9464
Minimum6
Maximum136404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:02.547799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile33
Q1129.5
median495.5
Q3983
95-th percentile4349.2
Maximum136404
Range136398
Interquartile range (IQR)853.5

Descriptive statistics

Standard deviation8639.2666
Coefficient of variation (CV)5.5631453
Kurtosis216.40715
Mean1552.9464
Median Absolute Deviation (MAD)400.5
Skewness14.170625
Sum434825
Variance74636927
MonotonicityNot monotonic
2024-03-30T08:49:03.050361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 4
 
1.3%
67 3
 
1.0%
31 3
 
1.0%
56 3
 
1.0%
27 3
 
1.0%
443 2
 
0.7%
195 2
 
0.7%
728 2
 
0.7%
254 2
 
0.7%
64 2
 
0.7%
Other values (236) 254
84.9%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
6 1
 
0.3%
17 2
0.7%
24 1
 
0.3%
25 1
 
0.3%
26 1
 
0.3%
27 3
1.0%
28 1
 
0.3%
31 3
1.0%
33 2
0.7%
34 1
 
0.3%
ValueCountFrequency (%)
136404 1
0.3%
43147 1
0.3%
19927 1
0.3%
7938 1
0.3%
7821 1
0.3%
6867 1
0.3%
6250 1
0.3%
5427 1
0.3%
5240 1
0.3%
5162 1
0.3%

2019
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct236
Distinct (%)84.6%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1406.6918
Minimum7
Maximum123359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:03.543248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile31
Q1102.5
median433
Q3909
95-th percentile3781.6
Maximum123359
Range123352
Interquartile range (IQR)806.5

Descriptive statistics

Standard deviation7785.1989
Coefficient of variation (CV)5.5344029
Kurtosis219.91707
Mean1406.6918
Median Absolute Deviation (MAD)359
Skewness14.298781
Sum392467
Variance60609322
MonotonicityNot monotonic
2024-03-30T08:49:04.201035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 3
 
1.0%
433 3
 
1.0%
51 3
 
1.0%
61 3
 
1.0%
31 2
 
0.7%
223 2
 
0.7%
82 2
 
0.7%
66 2
 
0.7%
1114 2
 
0.7%
306 2
 
0.7%
Other values (226) 255
85.3%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
7 1
0.3%
17 2
0.7%
22 2
0.7%
23 1
0.3%
25 1
0.3%
26 2
0.7%
28 2
0.7%
29 1
0.3%
30 1
0.3%
31 2
0.7%
ValueCountFrequency (%)
123359 1
0.3%
36902 1
0.3%
15400 1
0.3%
8875 1
0.3%
8415 1
0.3%
7246 1
0.3%
6715 1
0.3%
4991 1
0.3%
4816 1
0.3%
4741 1
0.3%

2020
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct244
Distinct (%)87.5%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1806.0681
Minimum7
Maximum158217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:05.044871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37.9
Q1133
median622
Q31206
95-th percentile4560.4
Maximum158217
Range158210
Interquartile range (IQR)1073

Descriptive statistics

Standard deviation9961.3948
Coefficient of variation (CV)5.5155145
Kurtosis221.80359
Mean1806.0681
Median Absolute Deviation (MAD)500
Skewness14.363776
Sum503893
Variance99229387
MonotonicityNot monotonic
2024-03-30T08:49:06.012699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 3
 
1.0%
50 3
 
1.0%
63 3
 
1.0%
519 2
 
0.7%
1744 2
 
0.7%
1504 2
 
0.7%
1453 2
 
0.7%
1278 2
 
0.7%
119 2
 
0.7%
39 2
 
0.7%
Other values (234) 256
85.6%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
7 1
 
0.3%
20 1
 
0.3%
22 1
 
0.3%
26 3
1.0%
28 1
 
0.3%
30 1
 
0.3%
32 1
 
0.3%
34 2
0.7%
36 1
 
0.3%
37 2
0.7%
ValueCountFrequency (%)
158217 1
0.3%
45586 1
0.3%
19372 1
0.3%
12662 1
0.3%
11417 1
0.3%
10201 1
0.3%
8883 1
0.3%
6665 1
0.3%
6660 1
0.3%
5741 1
0.3%

2021
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct250
Distinct (%)89.6%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1407.233
Minimum7
Maximum123389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:06.812380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile38
Q1147.5
median466
Q3894
95-th percentile3114.3
Maximum123389
Range123382
Interquartile range (IQR)746.5

Descriptive statistics

Standard deviation7723.6001
Coefficient of variation (CV)5.4885014
Kurtosis226.70675
Mean1407.233
Median Absolute Deviation (MAD)363
Skewness14.545553
Sum392618
Variance59653999
MonotonicityNot monotonic
2024-03-30T08:49:07.604626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 4
 
1.3%
40 3
 
1.0%
177 3
 
1.0%
38 3
 
1.0%
60 3
 
1.0%
994 2
 
0.7%
36 2
 
0.7%
333 2
 
0.7%
810 2
 
0.7%
404 2
 
0.7%
Other values (240) 253
84.6%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
7 1
 
0.3%
17 1
 
0.3%
21 1
 
0.3%
23 1
 
0.3%
27 1
 
0.3%
28 1
 
0.3%
29 2
0.7%
31 2
0.7%
36 2
0.7%
38 3
1.0%
ValueCountFrequency (%)
123389 1
0.3%
32970 1
0.3%
13350 1
0.3%
9153 1
0.3%
9044 1
0.3%
7736 1
0.3%
7475 1
0.3%
7146 1
0.3%
5970 1
0.3%
5289 1
0.3%

2022
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct228
Distinct (%)81.7%
Missing20
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean817.36918
Minimum7
Maximum71805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:08.574334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile32.9
Q197
median252
Q3510
95-th percentile2278.9
Maximum71805
Range71798
Interquartile range (IQR)413

Descriptive statistics

Standard deviation4468.6995
Coefficient of variation (CV)5.467174
Kurtosis231.73468
Mean817.36918
Median Absolute Deviation (MAD)177
Skewness14.7277
Sum228046
Variance19969275
MonotonicityNot monotonic
2024-03-30T08:49:09.332283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
176 3
 
1.0%
276 3
 
1.0%
33 3
 
1.0%
187 2
 
0.7%
82 2
 
0.7%
25 2
 
0.7%
557 2
 
0.7%
57 2
 
0.7%
266 2
 
0.7%
41 2
 
0.7%
Other values (218) 256
85.6%
(Missing) 20
 
6.7%
ValueCountFrequency (%)
7 1
0.3%
17 1
0.3%
19 1
0.3%
22 1
0.3%
24 2
0.7%
25 2
0.7%
27 1
0.3%
28 2
0.7%
29 1
0.3%
30 1
0.3%
ValueCountFrequency (%)
71805 1
0.3%
17289 1
0.3%
6337 1
0.3%
5553 1
0.3%
5230 1
0.3%
5151 1
0.3%
4485 1
0.3%
3878 1
0.3%
3664 1
0.3%
3546 1
0.3%

2023
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct232
Distinct (%)82.9%
Missing19
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean808.69643
Minimum4
Maximum71269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:49:09.899998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile26
Q180
median249
Q3490.25
95-th percentile2407.2
Maximum71269
Range71265
Interquartile range (IQR)410.25

Descriptive statistics

Standard deviation4443.7647
Coefficient of variation (CV)5.4949726
Kurtosis229.34951
Mean808.69643
Median Absolute Deviation (MAD)182.5
Skewness14.634872
Sum226435
Variance19747045
MonotonicityNot monotonic
2024-03-30T08:49:10.508338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 4
 
1.3%
40 3
 
1.0%
74 3
 
1.0%
405 3
 
1.0%
64 3
 
1.0%
96 3
 
1.0%
49 2
 
0.7%
47 2
 
0.7%
217 2
 
0.7%
577 2
 
0.7%
Other values (222) 253
84.6%
(Missing) 19
 
6.4%
ValueCountFrequency (%)
4 1
0.3%
8 1
0.3%
11 1
0.3%
15 2
0.7%
16 1
0.3%
17 1
0.3%
20 1
0.3%
22 2
0.7%
23 2
0.7%
25 1
0.3%
ValueCountFrequency (%)
71269 1
0.3%
18251 1
0.3%
7981 1
0.3%
4888 1
0.3%
4609 1
0.3%
4364 1
0.3%
4243 1
0.3%
3953 1
0.3%
3371 1
0.3%
3291 1
0.3%

Interactions

2024-03-30T08:48:35.982653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:41.812693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:47.923880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:56.255640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:02.335512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:07.871362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:14.016802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:20.034840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:27.487957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:33.266875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:39.394740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:46.112009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:52.683227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:00.916619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:08.316253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:15.355840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:21.896686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:28.319292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:36.331405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:42.160527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:48.354146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:56.592581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-30T08:47:24.616428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:31.226296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:37.506179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:43.825357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:50.310385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:57.740053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:05.540347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:12.755514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:19.774765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:26.127321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:32.696573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:40.852009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:46.284347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:54.429166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:00.554003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:06.385591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:11.900674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:18.398152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:25.171275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:31.512697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:37.794171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:44.154748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:50.660214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:58.252999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:05.973606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:13.287305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:20.182448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:26.481313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:33.427328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:41.177391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:46.595956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:54.803171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:00.887424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:06.647979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:12.578389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:18.774524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:25.627430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:31.811583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:38.016308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:44.533869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:51.041299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:58.970618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:06.264287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:13.650584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:20.480123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:26.834775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:33.924486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:41.565852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:46.880730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:55.162977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:01.248752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:06.936777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:12.901535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:19.053522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:26.306411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:32.207113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:38.405670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:44.968683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:51.522964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:59.439394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:06.785015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:14.046717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:20.875098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:27.260379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:34.588895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:41.972754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:47.231655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:55.506582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:01.541221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:07.207033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:13.208429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:19.373630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:26.697474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:32.677892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:38.671552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:45.330629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:51.851968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:00.014001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:07.452870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:14.591779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:21.148108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:27.589077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:34.902677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:42.292155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:47.531740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:46:55.868124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:01.961758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:07.602015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:13.563078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:19.734388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:27.108773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:32.985412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:39.058815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:45.725013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:47:52.290305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:00.435304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:07.942133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:14.959149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:21.538326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:27.903121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:48:35.412198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T08:49:11.258144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20071.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20091.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20101.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20111.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20131.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20141.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20151.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20161.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20171.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20181.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20191.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20201.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20211.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20221.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
20231.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-30T08:49:12.093362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
200620072008200920102011201220132014201520162017201820192020202120222023
20061.0000.9410.9270.9370.9060.9120.9070.9130.9110.9360.9360.9370.9350.9320.9430.8960.8370.890
20070.9411.0000.9660.9420.9310.9390.9270.9300.9230.9330.9300.9310.9170.9240.9340.9130.8850.907
20080.9270.9661.0000.9550.9310.9490.9410.9430.9370.9420.9380.9350.9240.9280.9340.9240.8900.916
20090.9370.9420.9551.0000.9530.9590.9490.9570.9520.9570.9480.9480.9390.9420.9520.9260.8840.935
20100.9060.9310.9310.9531.0000.9660.9580.9560.9380.9330.9180.9180.9130.9290.9370.9260.9010.928
20110.9120.9390.9490.9590.9661.0000.9780.9720.9630.9490.9280.9330.9200.9400.9470.9280.9020.929
20120.9070.9270.9410.9490.9580.9781.0000.9780.9620.9500.9250.9280.9190.9360.9470.9350.9040.926
20130.9130.9300.9430.9570.9560.9720.9781.0000.9720.9610.9400.9430.9290.9410.9490.9260.8880.923
20140.9110.9230.9370.9520.9380.9630.9620.9721.0000.9700.9480.9520.9260.9380.9440.9170.8790.915
20150.9360.9330.9420.9570.9330.9490.9500.9610.9701.0000.9680.9640.9460.9470.9550.9170.8760.913
20160.9360.9300.9380.9480.9180.9280.9250.9400.9480.9681.0000.9790.9590.9580.9540.9190.8740.916
20170.9370.9310.9350.9480.9180.9330.9280.9430.9520.9640.9791.0000.9680.9680.9630.9290.8800.931
20180.9350.9170.9240.9390.9130.9200.9190.9290.9260.9460.9590.9681.0000.9710.9610.9320.8850.928
20190.9320.9240.9280.9420.9290.9400.9360.9410.9380.9470.9580.9680.9711.0000.9720.9310.8800.938
20200.9430.9340.9340.9520.9370.9470.9470.9490.9440.9550.9540.9630.9610.9721.0000.9440.8900.940
20210.8960.9130.9240.9260.9260.9280.9350.9260.9170.9170.9190.9290.9320.9310.9441.0000.9360.941
20220.8370.8850.8900.8840.9010.9020.9040.8880.8790.8760.8740.8800.8850.8800.8900.9361.0000.938
20230.8900.9070.9160.9350.9280.9290.9260.9230.9150.9130.9160.9310.9280.9380.9400.9410.9381.000

Missing values

2024-03-30T08:48:42.810142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T08:48:43.973061image/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.
2024-03-30T08:48:44.844475image/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
0전국1224829784693131947079117110521785542983301234341449631325291403781364041233591582171233897180571269
1서울25820152761399313644946611478862211243157392324622174211901992715400193721335063377981
2서울 종로구32428831321115717315718020329225933724820526321911696
3서울 중구28118416825223517420414317611932842502471612301639688
4서울 용산구899545327371272264194258443511687737661424628443206167
5서울 성동구851348340464229297217334550831731762536433569309205263
6서울 광진구910616450489291369299314491768657672601518533421219253
7서울 동대문구887634516423273422297429675839852754858846706395329686
8서울 중랑구858763549372320548338412749918876762762530647528289225
9서울 성북구14678537416724945814135336801071100797310831043905582265481
지역200620072008200920102011201220132014201520162017201820192020202120222023
289경남 거창군585477617685758311799192103113889916917274
290경남 합천군322929334541455154644257455152524432
291(구)제주458<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
292(구)제주 (구)제주시355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293(구)제주 (구)서귀포시42<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)남제주군23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
296제주365629579614848102710121214137617331776158113961111119114331147816
297제주 제주시3024974314696928278149471027109711431093983803842984800553
298제주 서귀포시63132148144157200199267349636633488413307349449347263