Overview

Dataset statistics

Number of variables128
Number of observations4017
Missing cells243619
Missing cells (%)47.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 MiB
Average record size in memory1.1 KiB

Variable types

Text1
Categorical1
Numeric126

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국지가변동률조사 중 용도지역별 지가변동률 데이터입니다. - 공표시기 : 익월 25일경 - 단위 : %
URLhttps://www.data.go.kr/data/15112264/fileData.do

Alerts

2013-01 has 1946 (48.4%) missing valuesMissing
2013-02 has 1946 (48.4%) missing valuesMissing
2013-03 has 1946 (48.4%) missing valuesMissing
2013-04 has 1946 (48.4%) missing valuesMissing
2013-05 has 1946 (48.4%) missing valuesMissing
2013-06 has 1946 (48.4%) missing valuesMissing
2013-07 has 1946 (48.4%) missing valuesMissing
2013-08 has 1946 (48.4%) missing valuesMissing
2013-09 has 1946 (48.4%) missing valuesMissing
2013-10 has 1946 (48.4%) missing valuesMissing
2013-11 has 1946 (48.4%) missing valuesMissing
2013-12 has 1946 (48.4%) missing valuesMissing
2014-01 has 1946 (48.4%) missing valuesMissing
2014-02 has 1946 (48.4%) missing valuesMissing
2014-03 has 1946 (48.4%) missing valuesMissing
2014-04 has 1946 (48.4%) missing valuesMissing
2014-05 has 1946 (48.4%) missing valuesMissing
2014-06 has 1946 (48.4%) missing valuesMissing
2014-07 has 1925 (47.9%) missing valuesMissing
2014-08 has 1925 (47.9%) missing valuesMissing
2014-09 has 1925 (47.9%) missing valuesMissing
2014-10 has 1925 (47.9%) missing valuesMissing
2014-11 has 1925 (47.9%) missing valuesMissing
2014-12 has 1911 (47.6%) missing valuesMissing
2015-01 has 1911 (47.6%) missing valuesMissing
2015-02 has 1911 (47.6%) missing valuesMissing
2015-03 has 1911 (47.6%) missing valuesMissing
2015-04 has 1911 (47.6%) missing valuesMissing
2015-05 has 1911 (47.6%) missing valuesMissing
2015-06 has 1908 (47.5%) missing valuesMissing
2015-07 has 1911 (47.6%) missing valuesMissing
2015-08 has 1911 (47.6%) missing valuesMissing
2015-09 has 1911 (47.6%) missing valuesMissing
2015-10 has 1911 (47.6%) missing valuesMissing
2015-11 has 1911 (47.6%) missing valuesMissing
2015-12 has 1911 (47.6%) missing valuesMissing
2016-01 has 1911 (47.6%) missing valuesMissing
2016-02 has 1911 (47.6%) missing valuesMissing
2016-03 has 1911 (47.6%) missing valuesMissing
2016-04 has 1911 (47.6%) missing valuesMissing
2016-05 has 1911 (47.6%) missing valuesMissing
2016-06 has 1911 (47.6%) missing valuesMissing
2016-07 has 1923 (47.9%) missing valuesMissing
2016-08 has 1923 (47.9%) missing valuesMissing
2016-09 has 1923 (47.9%) missing valuesMissing
2016-10 has 1923 (47.9%) missing valuesMissing
2016-11 has 1923 (47.9%) missing valuesMissing
2016-12 has 1933 (48.1%) missing valuesMissing
2017-01 has 1933 (48.1%) missing valuesMissing
2017-02 has 1933 (48.1%) missing valuesMissing
2017-03 has 1933 (48.1%) missing valuesMissing
2017-04 has 1933 (48.1%) missing valuesMissing
2017-05 has 1933 (48.1%) missing valuesMissing
2017-06 has 1933 (48.1%) missing valuesMissing
2017-07 has 1933 (48.1%) missing valuesMissing
2017-08 has 1933 (48.1%) missing valuesMissing
2017-09 has 1933 (48.1%) missing valuesMissing
2017-10 has 1933 (48.1%) missing valuesMissing
2017-11 has 1933 (48.1%) missing valuesMissing
2017-12 has 1933 (48.1%) missing valuesMissing
2018-01 has 1933 (48.1%) missing valuesMissing
2018-02 has 1933 (48.1%) missing valuesMissing
2018-03 has 1933 (48.1%) missing valuesMissing
2018-04 has 1933 (48.1%) missing valuesMissing
2018-05 has 1933 (48.1%) missing valuesMissing
2018-06 has 1933 (48.1%) missing valuesMissing
2018-07 has 1933 (48.1%) missing valuesMissing
2018-08 has 1933 (48.1%) missing valuesMissing
2018-09 has 1933 (48.1%) missing valuesMissing
2018-10 has 1933 (48.1%) missing valuesMissing
2018-11 has 1933 (48.1%) missing valuesMissing
2018-12 has 1933 (48.1%) missing valuesMissing
2019-01 has 1933 (48.1%) missing valuesMissing
2019-02 has 1933 (48.1%) missing valuesMissing
2019-03 has 1933 (48.1%) missing valuesMissing
2019-04 has 1933 (48.1%) missing valuesMissing
2019-05 has 1933 (48.1%) missing valuesMissing
2019-06 has 1933 (48.1%) missing valuesMissing
2019-07 has 1933 (48.1%) missing valuesMissing
2019-08 has 1933 (48.1%) missing valuesMissing
2019-09 has 1933 (48.1%) missing valuesMissing
2019-10 has 1933 (48.1%) missing valuesMissing
2019-11 has 1933 (48.1%) missing valuesMissing
2019-12 has 1933 (48.1%) missing valuesMissing
2020-01 has 1933 (48.1%) missing valuesMissing
2020-02 has 1933 (48.1%) missing valuesMissing
2020-03 has 1933 (48.1%) missing valuesMissing
2020-04 has 1933 (48.1%) missing valuesMissing
2020-05 has 1933 (48.1%) missing valuesMissing
2020-06 has 1933 (48.1%) missing valuesMissing
2020-07 has 1933 (48.1%) missing valuesMissing
2020-08 has 1933 (48.1%) missing valuesMissing
2020-09 has 1946 (48.4%) missing valuesMissing
2020-10 has 1946 (48.4%) missing valuesMissing
2020-11 has 1946 (48.4%) missing valuesMissing
2020-12 has 1946 (48.4%) missing valuesMissing
2021-01 has 1946 (48.4%) missing valuesMissing
2021-02 has 1946 (48.4%) missing valuesMissing
2021-03 has 1946 (48.4%) missing valuesMissing
2021-04 has 1946 (48.4%) missing valuesMissing
2021-05 has 1946 (48.4%) missing valuesMissing
2021-06 has 1946 (48.4%) missing valuesMissing
2021-07 has 1946 (48.4%) missing valuesMissing
2021-08 has 1946 (48.4%) missing valuesMissing
2021-09 has 1946 (48.4%) missing valuesMissing
2021-10 has 1946 (48.4%) missing valuesMissing
2021-11 has 1946 (48.4%) missing valuesMissing
2021-12 has 1946 (48.4%) missing valuesMissing
2022-01 has 1946 (48.4%) missing valuesMissing
2022-02 has 1946 (48.4%) missing valuesMissing
2022-03 has 1946 (48.4%) missing valuesMissing
2022-04 has 1946 (48.4%) missing valuesMissing
2022-05 has 1946 (48.4%) missing valuesMissing
2022-06 has 1946 (48.4%) missing valuesMissing
2022-07 has 1946 (48.4%) missing valuesMissing
2022-08 has 1946 (48.4%) missing valuesMissing
2022-09 has 1946 (48.4%) missing valuesMissing
2022-10 has 1946 (48.4%) missing valuesMissing
2022-11 has 1933 (48.1%) missing valuesMissing
2022-12 has 1933 (48.1%) missing valuesMissing
2023-01 has 1933 (48.1%) missing valuesMissing
2023-02 has 1933 (48.1%) missing valuesMissing
2023-03 has 1933 (48.1%) missing valuesMissing
2023-04 has 1933 (48.1%) missing valuesMissing
2023-05 has 1933 (48.1%) missing valuesMissing
2023-06 has 1933 (48.1%) missing valuesMissing
2013-01 has 360 (9.0%) zerosZeros
2013-02 has 318 (7.9%) zerosZeros
2013-03 has 270 (6.7%) zerosZeros
2013-04 has 236 (5.9%) zerosZeros
2013-05 has 213 (5.3%) zerosZeros
2013-06 has 236 (5.9%) zerosZeros
2013-07 has 176 (4.4%) zerosZeros
2013-08 has 272 (6.8%) zerosZeros
2013-09 has 269 (6.7%) zerosZeros
2013-10 has 236 (5.9%) zerosZeros
2013-11 has 278 (6.9%) zerosZeros
2013-12 has 254 (6.3%) zerosZeros
2014-01 has 273 (6.8%) zerosZeros
2014-02 has 235 (5.9%) zerosZeros
2014-03 has 219 (5.5%) zerosZeros
2014-04 has 223 (5.6%) zerosZeros
2014-05 has 282 (7.0%) zerosZeros
2014-06 has 228 (5.7%) zerosZeros
2014-07 has 276 (6.9%) zerosZeros
2014-08 has 261 (6.5%) zerosZeros
2014-09 has 275 (6.8%) zerosZeros
2014-10 has 260 (6.5%) zerosZeros
2014-11 has 288 (7.2%) zerosZeros
2014-12 has 298 (7.4%) zerosZeros
2015-01 has 297 (7.4%) zerosZeros
2015-02 has 283 (7.0%) zerosZeros
2015-03 has 101 (2.5%) zerosZeros
2015-04 has 192 (4.8%) zerosZeros
2015-05 has 143 (3.6%) zerosZeros
2015-06 has 251 (6.2%) zerosZeros
2015-07 has 206 (5.1%) zerosZeros
2015-08 has 246 (6.1%) zerosZeros
2015-09 has 260 (6.5%) zerosZeros
2015-10 has 232 (5.8%) zerosZeros
2015-11 has 227 (5.7%) zerosZeros
2015-12 has 238 (5.9%) zerosZeros
2016-01 has 269 (6.7%) zerosZeros
2016-02 has 281 (7.0%) zerosZeros
2016-03 has 226 (5.6%) zerosZeros
2016-04 has 177 (4.4%) zerosZeros
2016-05 has 212 (5.3%) zerosZeros
2016-06 has 210 (5.2%) zerosZeros
2016-07 has 223 (5.6%) zerosZeros
2016-08 has 234 (5.8%) zerosZeros
2016-09 has 235 (5.9%) zerosZeros
2016-10 has 241 (6.0%) zerosZeros
2016-11 has 219 (5.5%) zerosZeros
2016-12 has 230 (5.7%) zerosZeros
2017-01 has 204 (5.1%) zerosZeros
2017-02 has 194 (4.8%) zerosZeros
2017-03 has 157 (3.9%) zerosZeros
2017-04 has 155 (3.9%) zerosZeros
2017-05 has 136 (3.4%) zerosZeros
2017-06 has 109 (2.7%) zerosZeros
2017-07 has 136 (3.4%) zerosZeros
2017-08 has 166 (4.1%) zerosZeros
2017-09 has 167 (4.2%) zerosZeros
2017-10 has 188 (4.7%) zerosZeros
2017-11 has 169 (4.2%) zerosZeros
2017-12 has 158 (3.9%) zerosZeros
2018-01 has 162 (4.0%) zerosZeros
2018-02 has 192 (4.8%) zerosZeros
2018-03 has 142 (3.5%) zerosZeros
2018-04 has 157 (3.9%) zerosZeros
2018-05 has 141 (3.5%) zerosZeros
2018-06 has 135 (3.4%) zerosZeros
2018-07 has 129 (3.2%) zerosZeros
2018-08 has 138 (3.4%) zerosZeros
2018-09 has 165 (4.1%) zerosZeros
2018-10 has 134 (3.3%) zerosZeros
2018-11 has 153 (3.8%) zerosZeros
2018-12 has 164 (4.1%) zerosZeros
2019-01 has 152 (3.8%) zerosZeros
2019-02 has 184 (4.6%) zerosZeros
2019-03 has 156 (3.9%) zerosZeros
2019-04 has 149 (3.7%) zerosZeros
2019-05 has 133 (3.3%) zerosZeros
2019-06 has 146 (3.6%) zerosZeros
2019-07 has 143 (3.6%) zerosZeros
2019-08 has 143 (3.6%) zerosZeros
2019-09 has 187 (4.7%) zerosZeros
2019-10 has 164 (4.1%) zerosZeros
2019-11 has 174 (4.3%) zerosZeros
2019-12 has 157 (3.9%) zerosZeros
2020-01 has 154 (3.8%) zerosZeros
2020-02 has 158 (3.9%) zerosZeros
2020-03 has 135 (3.4%) zerosZeros
2020-04 has 141 (3.5%) zerosZeros
2020-05 has 133 (3.3%) zerosZeros
2020-06 has 149 (3.7%) zerosZeros
2020-07 has 138 (3.4%) zerosZeros
2020-08 has 130 (3.2%) zerosZeros
2020-09 has 51 (1.3%) zerosZeros
2020-10 has 60 (1.5%) zerosZeros
2020-11 has 56 (1.4%) zerosZeros
2020-12 has 49 (1.2%) zerosZeros
2021-01 has 65 (1.6%) zerosZeros
2021-02 has 67 (1.7%) zerosZeros
2021-03 has 54 (1.3%) zerosZeros
2021-04 has 44 (1.1%) zerosZeros
2021-05 has 46 (1.1%) zerosZeros
2021-06 has 50 (1.2%) zerosZeros
2021-08 has 45 (1.1%) zerosZeros
2021-09 has 48 (1.2%) zerosZeros
2021-10 has 42 (1.0%) zerosZeros
2021-11 has 44 (1.1%) zerosZeros
2022-01 has 44 (1.1%) zerosZeros
2022-02 has 57 (1.4%) zerosZeros
2022-12 has 58 (1.4%) zerosZeros
2023-01 has 54 (1.3%) zerosZeros
2023-02 has 41 (1.0%) zerosZeros

Reproduction

Analysis started2023-12-12 10:38:59.381866
Analysis finished2023-12-12 10:39:02.385575
Duration3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

Distinct309
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2023-12-12T19:39:02.729200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.2135922
Min length2

Characters and Unicode

Total characters24960
Distinct characters149
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

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row전국
3rd row전국
4th row전국
5th row전국
ValueCountFrequency (%)
경기 715
 
8.7%
경북 364
 
4.4%
서울 338
 
4.1%
경남 338
 
4.1%
전남 325
 
4.0%
충북 286
 
3.5%
강원 273
 
3.3%
충남 260
 
3.2%
전북 247
 
3.0%
부산 221
 
2.7%
Other values (257) 4849
59.0%
2023-12-12T19:39:03.306619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4199
 
16.8%
1651
 
6.6%
1651
 
6.6%
1456
 
5.8%
1248
 
5.0%
1157
 
4.6%
1001
 
4.0%
741
 
3.0%
702
 
2.8%
611
 
2.4%
Other values (139) 10543
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20605
82.6%
Space Separator 4199
 
16.8%
Close Punctuation 78
 
0.3%
Open Punctuation 78
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1651
 
8.0%
1651
 
8.0%
1456
 
7.1%
1248
 
6.1%
1157
 
5.6%
1001
 
4.9%
741
 
3.6%
702
 
3.4%
611
 
3.0%
559
 
2.7%
Other values (136) 9828
47.7%
Space Separator
ValueCountFrequency (%)
4199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20605
82.6%
Common 4355
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1651
 
8.0%
1651
 
8.0%
1456
 
7.1%
1248
 
6.1%
1157
 
5.6%
1001
 
4.9%
741
 
3.6%
702
 
3.4%
611
 
3.0%
559
 
2.7%
Other values (136) 9828
47.7%
Common
ValueCountFrequency (%)
4199
96.4%
) 78
 
1.8%
( 78
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20605
82.6%
ASCII 4355
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4199
96.4%
) 78
 
1.8%
( 78
 
1.8%
Hangul
ValueCountFrequency (%)
1651
 
8.0%
1651
 
8.0%
1456
 
7.1%
1248
 
6.1%
1157
 
5.6%
1001
 
4.9%
741
 
3.6%
702
 
3.4%
611
 
3.0%
559
 
2.7%
Other values (136) 9828
47.7%

용도지역
Categorical

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
주거지역
309 
상업지역
309 
공업지역
309 
녹지지역
309 
관리지역
309 
Other values (8)
2472 

Length

Max length8
Median length6
Mean length5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주거지역
2nd row상업지역
3rd row공업지역
4th row녹지지역
5th row관리지역

Common Values

ValueCountFrequency (%)
주거지역 309
 
7.7%
상업지역 309
 
7.7%
공업지역 309
 
7.7%
녹지지역 309
 
7.7%
관리지역 309
 
7.7%
보전관리지역 309
 
7.7%
생산관리지역 309
 
7.7%
계획관리지역 309
 
7.7%
농림지역 309
 
7.7%
자연환경보전지역 309
 
7.7%
Other values (3) 927
23.1%

Length

2023-12-12T19:39:03.478443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주거지역 309
 
7.7%
상업지역 309
 
7.7%
공업지역 309
 
7.7%
녹지지역 309
 
7.7%
관리지역 309
 
7.7%
보전관리지역 309
 
7.7%
생산관리지역 309
 
7.7%
계획관리지역 309
 
7.7%
농림지역 309
 
7.7%
자연환경보전지역 309
 
7.7%
Other values (3) 927
23.1%

2013-01
Real number (ℝ)

MISSING  ZEROS 

Distinct485
Distinct (%)23.4%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.057831
Minimum-1.477
Maximum1.671
Zeros360
Zeros (%)9.0%
Negative355
Negative (%)8.8%
Memory size35.4 KiB
2023-12-12T19:39:03.644972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.477
5-th percentile-0.113
Q10
median0.043
Q30.109
95-th percentile0.257
Maximum1.671
Range3.148
Interquartile range (IQR)0.109

Descriptive statistics

Standard deviation0.13735779
Coefficient of variation (CV)2.3751585
Kurtosis26.870983
Mean0.057831
Median Absolute Deviation (MAD)0.043
Skewness1.330823
Sum119.768
Variance0.018867163
MonotonicityNot monotonic
2023-12-12T19:39:03.842372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 360
 
9.0%
0.013 15
 
0.4%
0.03 15
 
0.4%
0.059 13
 
0.3%
0.061 13
 
0.3%
0.017 13
 
0.3%
0.04 13
 
0.3%
0.101 13
 
0.3%
0.051 13
 
0.3%
0.05 13
 
0.3%
Other values (475) 1590
39.6%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.477 1
< 0.1%
-0.675 1
< 0.1%
-0.608 1
< 0.1%
-0.548 1
< 0.1%
-0.519 1
< 0.1%
-0.471 1
< 0.1%
-0.47 1
< 0.1%
-0.434 1
< 0.1%
-0.423 1
< 0.1%
-0.389 1
< 0.1%
ValueCountFrequency (%)
1.671 1
< 0.1%
1.321 1
< 0.1%
1.283 1
< 0.1%
0.888 1
< 0.1%
0.848 1
< 0.1%
0.767 1
< 0.1%
0.76 1
< 0.1%
0.731 1
< 0.1%
0.724 1
< 0.1%
0.651 1
< 0.1%

2013-02
Real number (ℝ)

MISSING  ZEROS 

Distinct548
Distinct (%)26.5%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.050441816
Minimum-1.874
Maximum1.422
Zeros318
Zeros (%)7.9%
Negative400
Negative (%)10.0%
Memory size35.4 KiB
2023-12-12T19:39:04.037542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.874
5-th percentile-0.149
Q10
median0.039
Q30.108
95-th percentile0.2635
Maximum1.422
Range3.296
Interquartile range (IQR)0.108

Descriptive statistics

Standard deviation0.16072648
Coefficient of variation (CV)3.1863739
Kurtosis21.471503
Mean0.050441816
Median Absolute Deviation (MAD)0.048
Skewness-0.83376778
Sum104.465
Variance0.025833002
MonotonicityNot monotonic
2023-12-12T19:39:04.262248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 318
 
7.9%
0.027 16
 
0.4%
0.032 15
 
0.4%
0.048 15
 
0.4%
0.013 14
 
0.3%
0.034 14
 
0.3%
0.117 14
 
0.3%
0.039 14
 
0.3%
0.026 13
 
0.3%
0.028 13
 
0.3%
Other values (538) 1625
40.5%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.874 1
< 0.1%
-1.121 1
< 0.1%
-1.094 1
< 0.1%
-0.981 1
< 0.1%
-0.884 1
< 0.1%
-0.843 1
< 0.1%
-0.782 1
< 0.1%
-0.739 1
< 0.1%
-0.728 1
< 0.1%
-0.66 1
< 0.1%
ValueCountFrequency (%)
1.422 1
< 0.1%
1.056 1
< 0.1%
1.007 1
< 0.1%
0.999 1
< 0.1%
0.881 1
< 0.1%
0.806 1
< 0.1%
0.723 1
< 0.1%
0.72 1
< 0.1%
0.718 2
< 0.1%
0.711 1
< 0.1%

2013-03
Real number (ℝ)

MISSING  ZEROS 

Distinct541
Distinct (%)26.1%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.073736842
Minimum-1.13
Maximum0.922
Zeros270
Zeros (%)6.7%
Negative303
Negative (%)7.5%
Memory size35.4 KiB
2023-12-12T19:39:04.455556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.13
5-th percentile-0.1275
Q10
median0.066
Q30.139
95-th percentile0.2935
Maximum0.922
Range2.052
Interquartile range (IQR)0.139

Descriptive statistics

Standard deviation0.15020168
Coefficient of variation (CV)2.0369963
Kurtosis8.99203
Mean0.073736842
Median Absolute Deviation (MAD)0.066
Skewness-0.37180184
Sum152.709
Variance0.022560544
MonotonicityNot monotonic
2023-12-12T19:39:04.708930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 270
 
6.7%
0.061 18
 
0.4%
0.066 17
 
0.4%
0.104 15
 
0.4%
0.038 14
 
0.3%
0.073 13
 
0.3%
0.07 12
 
0.3%
0.079 12
 
0.3%
0.076 12
 
0.3%
0.043 12
 
0.3%
Other values (531) 1676
41.7%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.13 1
< 0.1%
-0.905 1
< 0.1%
-0.816 1
< 0.1%
-0.786 1
< 0.1%
-0.747 1
< 0.1%
-0.721 1
< 0.1%
-0.686 1
< 0.1%
-0.63 1
< 0.1%
-0.596 1
< 0.1%
-0.574 1
< 0.1%
ValueCountFrequency (%)
0.922 1
< 0.1%
0.918 1
< 0.1%
0.858 1
< 0.1%
0.848 1
< 0.1%
0.804 1
< 0.1%
0.775 1
< 0.1%
0.766 1
< 0.1%
0.705 1
< 0.1%
0.694 1
< 0.1%
0.649 1
< 0.1%

2013-04
Real number (ℝ)

MISSING  ZEROS 

Distinct572
Distinct (%)27.6%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.083923708
Minimum-2.135
Maximum1.66
Zeros236
Zeros (%)5.9%
Negative362
Negative (%)9.0%
Memory size35.4 KiB
2023-12-12T19:39:04.869586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.135
5-th percentile-0.137
Q10
median0.074
Q30.16
95-th percentile0.3305
Maximum1.66
Range3.795
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.18644986
Coefficient of variation (CV)2.221659
Kurtosis26.247695
Mean0.083923708
Median Absolute Deviation (MAD)0.074
Skewness-0.80230576
Sum173.806
Variance0.034763551
MonotonicityNot monotonic
2023-12-12T19:39:05.070739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 236
 
5.9%
0.107 12
 
0.3%
0.015 12
 
0.3%
0.116 12
 
0.3%
0.185 12
 
0.3%
0.111 11
 
0.3%
0.162 11
 
0.3%
0.058 11
 
0.3%
0.07 11
 
0.3%
0.114 11
 
0.3%
Other values (562) 1732
43.1%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.135 1
< 0.1%
-1.776 1
< 0.1%
-1.509 1
< 0.1%
-0.949 1
< 0.1%
-0.934 1
< 0.1%
-0.894 1
< 0.1%
-0.859 1
< 0.1%
-0.703 1
< 0.1%
-0.684 1
< 0.1%
-0.661 1
< 0.1%
ValueCountFrequency (%)
1.66 1
< 0.1%
1.656 1
< 0.1%
1.333 1
< 0.1%
1.096 1
< 0.1%
1.079 1
< 0.1%
0.936 1
< 0.1%
0.913 1
< 0.1%
0.903 1
< 0.1%
0.887 1
< 0.1%
0.768 2
< 0.1%

2013-05
Real number (ℝ)

MISSING  ZEROS 

Distinct613
Distinct (%)29.6%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.072867697
Minimum-2.212
Maximum2.577
Zeros213
Zeros (%)5.3%
Negative428
Negative (%)10.7%
Memory size35.4 KiB
2023-12-12T19:39:05.311872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.212
5-th percentile-0.16
Q10
median0.058
Q30.146
95-th percentile0.335
Maximum2.577
Range4.789
Interquartile range (IQR)0.146

Descriptive statistics

Standard deviation0.21609501
Coefficient of variation (CV)2.9655803
Kurtosis33.942817
Mean0.072867697
Median Absolute Deviation (MAD)0.063
Skewness0.36197101
Sum150.909
Variance0.046697053
MonotonicityNot monotonic
2023-12-12T19:39:05.504732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 213
 
5.3%
0.047 14
 
0.3%
0.044 14
 
0.3%
0.075 14
 
0.3%
0.086 13
 
0.3%
0.028 13
 
0.3%
0.063 12
 
0.3%
0.034 11
 
0.3%
0.021 11
 
0.3%
0.082 11
 
0.3%
Other values (603) 1745
43.4%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.212 1
< 0.1%
-1.914 1
< 0.1%
-1.595 1
< 0.1%
-1.471 1
< 0.1%
-1.232 1
< 0.1%
-1.089 1
< 0.1%
-0.989 1
< 0.1%
-0.965 1
< 0.1%
-0.934 1
< 0.1%
-0.911 1
< 0.1%
ValueCountFrequency (%)
2.577 1
< 0.1%
2.497 1
< 0.1%
1.603 1
< 0.1%
1.308 1
< 0.1%
1.284 1
< 0.1%
1.201 1
< 0.1%
1.118 1
< 0.1%
1.099 1
< 0.1%
1.045 1
< 0.1%
0.992 1
< 0.1%

2013-06
Real number (ℝ)

MISSING  ZEROS 

Distinct624
Distinct (%)30.1%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.069026074
Minimum-2.426
Maximum2.058
Zeros236
Zeros (%)5.9%
Negative499
Negative (%)12.4%
Memory size35.4 KiB
2023-12-12T19:39:05.677586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.426
5-th percentile-0.17
Q10
median0.047
Q30.145
95-th percentile0.353
Maximum2.058
Range4.484
Interquartile range (IQR)0.145

Descriptive statistics

Standard deviation0.21336899
Coefficient of variation (CV)3.0911361
Kurtosis27.585629
Mean0.069026074
Median Absolute Deviation (MAD)0.072
Skewness0.25484957
Sum142.953
Variance0.045526325
MonotonicityNot monotonic
2023-12-12T19:39:05.856905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 236
 
5.9%
0.012 12
 
0.3%
0.08 12
 
0.3%
0.023 11
 
0.3%
0.089 11
 
0.3%
0.137 11
 
0.3%
0.084 11
 
0.3%
0.039 11
 
0.3%
0.123 10
 
0.2%
0.019 10
 
0.2%
Other values (614) 1736
43.2%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.426 1
< 0.1%
-1.913 1
< 0.1%
-1.158 1
< 0.1%
-1.077 2
< 0.1%
-0.991 1
< 0.1%
-0.942 1
< 0.1%
-0.887 1
< 0.1%
-0.745 1
< 0.1%
-0.709 1
< 0.1%
-0.646 1
< 0.1%
ValueCountFrequency (%)
2.058 1
< 0.1%
1.973 1
< 0.1%
1.782 1
< 0.1%
1.729 1
< 0.1%
1.527 1
< 0.1%
1.45 1
< 0.1%
1.218 1
< 0.1%
0.946 1
< 0.1%
0.94 1
< 0.1%
0.933 1
< 0.1%

2013-07
Real number (ℝ)

MISSING  ZEROS 

Distinct638
Distinct (%)30.8%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.037330275
Minimum-1.58
Maximum5.801
Zeros176
Zeros (%)4.4%
Negative693
Negative (%)17.3%
Memory size35.4 KiB
2023-12-12T19:39:06.030992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.58
5-th percentile-0.2425
Q1-0.0355
median0.021
Q30.106
95-th percentile0.325
Maximum5.801
Range7.381
Interquartile range (IQR)0.1415

Descriptive statistics

Standard deviation0.24755043
Coefficient of variation (CV)6.6313582
Kurtosis152.02226
Mean0.037330275
Median Absolute Deviation (MAD)0.071
Skewness6.5741886
Sum77.311
Variance0.061281214
MonotonicityNot monotonic
2023-12-12T19:39:06.230109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 176
 
4.4%
0.027 15
 
0.4%
0.092 14
 
0.3%
0.039 14
 
0.3%
0.002 13
 
0.3%
0.072 13
 
0.3%
0.073 12
 
0.3%
0.021 11
 
0.3%
-0.018 11
 
0.3%
0.031 11
 
0.3%
Other values (628) 1781
44.3%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.58 1
< 0.1%
-1.51 1
< 0.1%
-1.396 1
< 0.1%
-1.167 1
< 0.1%
-1.154 1
< 0.1%
-1.034 1
< 0.1%
-1.001 1
< 0.1%
-0.976 1
< 0.1%
-0.927 1
< 0.1%
-0.902 1
< 0.1%
ValueCountFrequency (%)
5.801 1
< 0.1%
2.381 1
< 0.1%
1.827 1
< 0.1%
1.635 1
< 0.1%
1.566 1
< 0.1%
1.254 1
< 0.1%
1.139 1
< 0.1%
1.121 1
< 0.1%
0.986 1
< 0.1%
0.925 1
< 0.1%

2013-08
Real number (ℝ)

MISSING  ZEROS 

Distinct566
Distinct (%)27.3%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.0067880251
Minimum-2.055
Maximum1.039
Zeros272
Zeros (%)6.8%
Negative833
Negative (%)20.7%
Memory size35.4 KiB
2023-12-12T19:39:06.432645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.055
5-th percentile-0.218
Q1-0.0465
median0
Q30.0685
95-th percentile0.243
Maximum1.039
Range3.094
Interquartile range (IQR)0.115

Descriptive statistics

Standard deviation0.17763102
Coefficient of variation (CV)26.168291
Kurtosis22.751334
Mean0.0067880251
Median Absolute Deviation (MAD)0.058
Skewness-1.704294
Sum14.058
Variance0.031552778
MonotonicityNot monotonic
2023-12-12T19:39:06.601310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 272
 
6.8%
0.023 15
 
0.4%
0.015 13
 
0.3%
-0.037 13
 
0.3%
-0.03 13
 
0.3%
0.008 13
 
0.3%
-0.017 13
 
0.3%
-0.007 12
 
0.3%
-0.015 12
 
0.3%
0.025 12
 
0.3%
Other values (556) 1683
41.9%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.055 1
< 0.1%
-1.604 1
< 0.1%
-1.378 1
< 0.1%
-1.375 1
< 0.1%
-1.259 1
< 0.1%
-1.256 1
< 0.1%
-1.066 1
< 0.1%
-0.955 1
< 0.1%
-0.947 1
< 0.1%
-0.897 1
< 0.1%
ValueCountFrequency (%)
1.039 2
< 0.1%
1.03 1
< 0.1%
0.861 2
< 0.1%
0.855 1
< 0.1%
0.795 1
< 0.1%
0.729 1
< 0.1%
0.707 1
< 0.1%
0.693 1
< 0.1%
0.691 1
< 0.1%
0.585 1
< 0.1%

2013-09
Real number (ℝ)

MISSING  ZEROS 

Distinct592
Distinct (%)28.6%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.020041526
Minimum-2.498
Maximum2.654
Zeros269
Zeros (%)6.7%
Negative758
Negative (%)18.9%
Memory size35.4 KiB
2023-12-12T19:39:06.770286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.498
5-th percentile-0.218
Q1-0.035
median0.001
Q30.0825
95-th percentile0.2665
Maximum2.654
Range5.152
Interquartile range (IQR)0.1175

Descriptive statistics

Standard deviation0.19946558
Coefficient of variation (CV)9.9526145
Kurtosis46.629883
Mean0.020041526
Median Absolute Deviation (MAD)0.059
Skewness-0.46525427
Sum41.506
Variance0.039786518
MonotonicityNot monotonic
2023-12-12T19:39:06.951692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 269
 
6.7%
-0.032 11
 
0.3%
-0.026 11
 
0.3%
-0.014 11
 
0.3%
0.04 11
 
0.3%
-0.01 11
 
0.3%
0.008 11
 
0.3%
-0.033 11
 
0.3%
0.062 10
 
0.2%
0.015 10
 
0.2%
Other values (582) 1705
42.4%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.498 1
< 0.1%
-2.191 1
< 0.1%
-1.633 1
< 0.1%
-1.571 1
< 0.1%
-1.37 1
< 0.1%
-1.156 1
< 0.1%
-0.994 1
< 0.1%
-0.883 1
< 0.1%
-0.839 1
< 0.1%
-0.737 1
< 0.1%
ValueCountFrequency (%)
2.654 1
< 0.1%
1.896 1
< 0.1%
1.269 1
< 0.1%
1.234 1
< 0.1%
1.172 1
< 0.1%
1.038 1
< 0.1%
0.992 1
< 0.1%
0.967 1
< 0.1%
0.807 1
< 0.1%
0.796 1
< 0.1%

2013-10
Real number (ℝ)

MISSING  ZEROS 

Distinct602
Distinct (%)29.1%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.093151135
Minimum-1.686
Maximum2.534
Zeros236
Zeros (%)5.9%
Negative290
Negative (%)7.2%
Memory size35.4 KiB
2023-12-12T19:39:07.444336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.686
5-th percentile-0.1455
Q10
median0.083
Q30.174
95-th percentile0.3595
Maximum2.534
Range4.22
Interquartile range (IQR)0.174

Descriptive statistics

Standard deviation0.20353425
Coefficient of variation (CV)2.1849894
Kurtosis24.300709
Mean0.093151135
Median Absolute Deviation (MAD)0.083
Skewness-0.066650275
Sum192.916
Variance0.041426189
MonotonicityNot monotonic
2023-12-12T19:39:07.635163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 236
 
5.9%
0.081 14
 
0.3%
0.034 13
 
0.3%
0.123 11
 
0.3%
0.073 11
 
0.3%
0.076 11
 
0.3%
0.032 10
 
0.2%
0.06 10
 
0.2%
0.071 10
 
0.2%
0.114 10
 
0.2%
Other values (592) 1735
43.2%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.686 1
< 0.1%
-1.449 1
< 0.1%
-1.441 1
< 0.1%
-1.429 1
< 0.1%
-1.213 1
< 0.1%
-1.19 1
< 0.1%
-1.091 1
< 0.1%
-0.999 1
< 0.1%
-0.87 1
< 0.1%
-0.802 1
< 0.1%
ValueCountFrequency (%)
2.534 1
< 0.1%
1.599 1
< 0.1%
1.501 1
< 0.1%
1.209 1
< 0.1%
1.038 1
< 0.1%
0.984 1
< 0.1%
0.94 1
< 0.1%
0.898 1
< 0.1%
0.875 1
< 0.1%
0.866 1
< 0.1%

2013-11
Real number (ℝ)

MISSING  ZEROS 

Distinct652
Distinct (%)31.5%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.10194302
Minimum-1.271
Maximum1.575
Zeros278
Zeros (%)6.9%
Negative346
Negative (%)8.6%
Memory size35.4 KiB
2023-12-12T19:39:07.795976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.271
5-th percentile-0.128
Q10
median0.081
Q30.1855
95-th percentile0.392
Maximum1.575
Range2.846
Interquartile range (IQR)0.1855

Descriptive statistics

Standard deviation0.18751298
Coefficient of variation (CV)1.83939
Kurtosis9.3364869
Mean0.10194302
Median Absolute Deviation (MAD)0.081
Skewness0.51110505
Sum211.124
Variance0.035161118
MonotonicityNot monotonic
2023-12-12T19:39:07.959121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 278
 
6.9%
0.207 12
 
0.3%
0.14 10
 
0.2%
0.083 10
 
0.2%
0.159 10
 
0.2%
0.019 10
 
0.2%
0.102 10
 
0.2%
0.126 10
 
0.2%
0.138 9
 
0.2%
0.059 9
 
0.2%
Other values (642) 1703
42.4%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.271 1
< 0.1%
-1.128 1
< 0.1%
-1.121 1
< 0.1%
-0.98 1
< 0.1%
-0.87 1
< 0.1%
-0.651 1
< 0.1%
-0.579 1
< 0.1%
-0.56 1
< 0.1%
-0.5 1
< 0.1%
-0.494 1
< 0.1%
ValueCountFrequency (%)
1.575 1
< 0.1%
1.332 1
< 0.1%
1.112 1
< 0.1%
1.104 1
< 0.1%
1.04 1
< 0.1%
1.03 1
< 0.1%
0.957 1
< 0.1%
0.927 1
< 0.1%
0.9 1
< 0.1%
0.876 1
< 0.1%

2013-12
Real number (ℝ)

MISSING  ZEROS 

Distinct617
Distinct (%)29.8%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.096714631
Minimum-3.446
Maximum3.297
Zeros254
Zeros (%)6.3%
Negative338
Negative (%)8.4%
Memory size35.4 KiB
2023-12-12T19:39:08.102682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.446
5-th percentile-0.1135
Q10
median0.079
Q30.178
95-th percentile0.386
Maximum3.297
Range6.743
Interquartile range (IQR)0.178

Descriptive statistics

Standard deviation0.22207409
Coefficient of variation (CV)2.2961789
Kurtosis61.441018
Mean0.096714631
Median Absolute Deviation (MAD)0.079
Skewness-0.81191302
Sum200.296
Variance0.049316903
MonotonicityNot monotonic
2023-12-12T19:39:08.253432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 254
 
6.3%
0.063 14
 
0.3%
0.01 13
 
0.3%
0.066 12
 
0.3%
0.184 12
 
0.3%
0.088 12
 
0.3%
0.049 12
 
0.3%
0.061 11
 
0.3%
0.021 10
 
0.2%
0.087 10
 
0.2%
Other values (607) 1711
42.6%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-3.446 1
< 0.1%
-1.623 1
< 0.1%
-1.574 1
< 0.1%
-1.391 1
< 0.1%
-1.166 1
< 0.1%
-1.112 1
< 0.1%
-1.083 2
< 0.1%
-1.02 1
< 0.1%
-0.919 1
< 0.1%
-0.753 1
< 0.1%
ValueCountFrequency (%)
3.297 1
< 0.1%
2.068 1
< 0.1%
1.045 1
< 0.1%
0.997 1
< 0.1%
0.96 1
< 0.1%
0.93 1
< 0.1%
0.922 1
< 0.1%
0.899 1
< 0.1%
0.88 1
< 0.1%
0.825 1
< 0.1%

2014-01
Real number (ℝ)

MISSING  ZEROS 

Distinct616
Distinct (%)29.7%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.053296475
Minimum-1.74
Maximum2.181
Zeros273
Zeros (%)6.8%
Negative547
Negative (%)13.6%
Memory size35.4 KiB
2023-12-12T19:39:08.435169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-0.203
Q1-0.005
median0.035
Q30.1255
95-th percentile0.3445
Maximum2.181
Range3.921
Interquartile range (IQR)0.1305

Descriptive statistics

Standard deviation0.19242886
Coefficient of variation (CV)3.6105364
Kurtosis19.792399
Mean0.053296475
Median Absolute Deviation (MAD)0.069
Skewness0.022958645
Sum110.377
Variance0.037028867
MonotonicityNot monotonic
2023-12-12T19:39:08.666006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 273
 
6.8%
0.01 13
 
0.3%
0.083 12
 
0.3%
0.046 11
 
0.3%
0.004 11
 
0.3%
0.032 11
 
0.3%
0.073 10
 
0.2%
-0.064 10
 
0.2%
0.066 10
 
0.2%
0.152 10
 
0.2%
Other values (606) 1700
42.3%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.74 2
< 0.1%
-1.346 1
< 0.1%
-1.192 1
< 0.1%
-0.88 1
< 0.1%
-0.758 1
< 0.1%
-0.743 1
< 0.1%
-0.719 1
< 0.1%
-0.676 1
< 0.1%
-0.662 1
< 0.1%
-0.612 1
< 0.1%
ValueCountFrequency (%)
2.181 1
< 0.1%
1.277 1
< 0.1%
1.11 1
< 0.1%
1.011 1
< 0.1%
1.01 1
< 0.1%
0.889 1
< 0.1%
0.833 1
< 0.1%
0.806 1
< 0.1%
0.779 1
< 0.1%
0.765 1
< 0.1%

2014-02
Real number (ℝ)

MISSING  ZEROS 

Distinct674
Distinct (%)32.5%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.09398986
Minimum-2.307
Maximum6.578
Zeros235
Zeros (%)5.9%
Negative418
Negative (%)10.4%
Memory size35.4 KiB
2023-12-12T19:39:08.965549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.307
5-th percentile-0.183
Q10
median0.072
Q30.171
95-th percentile0.4065
Maximum6.578
Range8.885
Interquartile range (IQR)0.171

Descriptive statistics

Standard deviation0.31489466
Coefficient of variation (CV)3.3503046
Kurtosis112.22599
Mean0.09398986
Median Absolute Deviation (MAD)0.075
Skewness5.4435416
Sum194.653
Variance0.099158646
MonotonicityNot monotonic
2023-12-12T19:39:09.221328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 235
 
5.9%
0.024 14
 
0.3%
0.107 14
 
0.3%
0.133 12
 
0.3%
0.075 11
 
0.3%
0.054 10
 
0.2%
0.093 10
 
0.2%
0.126 10
 
0.2%
0.026 10
 
0.2%
0.091 10
 
0.2%
Other values (664) 1735
43.2%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.307 1
< 0.1%
-2.109 1
< 0.1%
-1.973 1
< 0.1%
-1.932 1
< 0.1%
-1.867 1
< 0.1%
-1.732 1
< 0.1%
-1.502 1
< 0.1%
-1.439 1
< 0.1%
-1.231 1
< 0.1%
-1.22 1
< 0.1%
ValueCountFrequency (%)
6.578 1
< 0.1%
3.468 1
< 0.1%
3.467 1
< 0.1%
2.877 1
< 0.1%
2.751 1
< 0.1%
2.102 1
< 0.1%
2.042 1
< 0.1%
1.66 1
< 0.1%
1.326 1
< 0.1%
1.286 1
< 0.1%

2014-03
Real number (ℝ)

MISSING  ZEROS 

Distinct679
Distinct (%)32.8%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.12525543
Minimum-2.616
Maximum4.186
Zeros219
Zeros (%)5.5%
Negative272
Negative (%)6.8%
Memory size35.4 KiB
2023-12-12T19:39:09.392883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.616
5-th percentile-0.1215
Q10.009
median0.105
Q30.207
95-th percentile0.4515
Maximum4.186
Range6.802
Interquartile range (IQR)0.198

Descriptive statistics

Standard deviation0.24850196
Coefficient of variation (CV)1.9839615
Kurtosis51.882861
Mean0.12525543
Median Absolute Deviation (MAD)0.099
Skewness1.2516161
Sum259.404
Variance0.061753224
MonotonicityNot monotonic
2023-12-12T19:39:09.569734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 219
 
5.5%
0.118 12
 
0.3%
0.111 11
 
0.3%
0.055 11
 
0.3%
0.052 11
 
0.3%
0.075 11
 
0.3%
0.035 11
 
0.3%
0.101 10
 
0.2%
0.201 10
 
0.2%
0.136 10
 
0.2%
Other values (669) 1755
43.7%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.616 1
< 0.1%
-2.183 1
< 0.1%
-1.853 1
< 0.1%
-1.449 1
< 0.1%
-1.139 1
< 0.1%
-1.072 1
< 0.1%
-1.001 1
< 0.1%
-0.99 1
< 0.1%
-0.975 1
< 0.1%
-0.86 1
< 0.1%
ValueCountFrequency (%)
4.186 1
< 0.1%
1.754 1
< 0.1%
1.66 1
< 0.1%
1.428 1
< 0.1%
1.374 1
< 0.1%
1.363 1
< 0.1%
1.325 1
< 0.1%
1.231 1
< 0.1%
1.216 1
< 0.1%
1.113 1
< 0.1%

2014-04
Real number (ℝ)

MISSING  ZEROS 

Distinct658
Distinct (%)31.8%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.12813761
Minimum-2.046
Maximum3.426
Zeros223
Zeros (%)5.6%
Negative301
Negative (%)7.5%
Memory size35.4 KiB
2023-12-12T19:39:09.751428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.046
5-th percentile-0.109
Q10
median0.098
Q30.207
95-th percentile0.4655
Maximum3.426
Range5.472
Interquartile range (IQR)0.207

Descriptive statistics

Standard deviation0.23571766
Coefficient of variation (CV)1.8395665
Kurtosis36.248381
Mean0.12813761
Median Absolute Deviation (MAD)0.098
Skewness2.508609
Sum265.373
Variance0.055562816
MonotonicityNot monotonic
2023-12-12T19:39:09.901687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 223
 
5.6%
0.075 13
 
0.3%
0.097 13
 
0.3%
0.141 12
 
0.3%
0.037 11
 
0.3%
0.124 11
 
0.3%
0.076 11
 
0.3%
0.013 10
 
0.2%
0.017 10
 
0.2%
0.253 10
 
0.2%
Other values (648) 1747
43.5%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.046 1
< 0.1%
-1.236 1
< 0.1%
-1.155 1
< 0.1%
-1.144 1
< 0.1%
-1.139 1
< 0.1%
-0.895 1
< 0.1%
-0.701 1
< 0.1%
-0.673 1
< 0.1%
-0.671 1
< 0.1%
-0.614 1
< 0.1%
ValueCountFrequency (%)
3.426 1
< 0.1%
2.608 1
< 0.1%
2.224 1
< 0.1%
1.811 1
< 0.1%
1.513 1
< 0.1%
1.492 1
< 0.1%
1.483 1
< 0.1%
1.38 1
< 0.1%
1.278 1
< 0.1%
1.246 1
< 0.1%

2014-05
Real number (ℝ)

MISSING  ZEROS 

Distinct612
Distinct (%)29.6%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.096246258
Minimum-1.936
Maximum2.866
Zeros282
Zeros (%)7.0%
Negative333
Negative (%)8.3%
Memory size35.4 KiB
2023-12-12T19:39:10.060255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.936
5-th percentile-0.1245
Q10
median0.074
Q30.173
95-th percentile0.386
Maximum2.866
Range4.802
Interquartile range (IQR)0.173

Descriptive statistics

Standard deviation0.19726657
Coefficient of variation (CV)2.0496025
Kurtosis32.671956
Mean0.096246258
Median Absolute Deviation (MAD)0.074
Skewness0.68483237
Sum199.326
Variance0.038914099
MonotonicityNot monotonic
2023-12-12T19:39:10.226025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 282
 
7.0%
0.168 11
 
0.3%
0.068 11
 
0.3%
0.106 11
 
0.3%
0.155 11
 
0.3%
0.086 11
 
0.3%
0.016 10
 
0.2%
0.053 10
 
0.2%
0.165 10
 
0.2%
0.141 10
 
0.2%
Other values (602) 1694
42.2%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.936 1
< 0.1%
-1.704 1
< 0.1%
-1.431 1
< 0.1%
-0.949 1
< 0.1%
-0.941 1
< 0.1%
-0.894 1
< 0.1%
-0.754 1
< 0.1%
-0.744 1
< 0.1%
-0.703 1
< 0.1%
-0.559 1
< 0.1%
ValueCountFrequency (%)
2.866 1
< 0.1%
1.373 1
< 0.1%
1.169 1
< 0.1%
1.111 1
< 0.1%
0.993 1
< 0.1%
0.972 1
< 0.1%
0.923 1
< 0.1%
0.914 1
< 0.1%
0.91 1
< 0.1%
0.898 1
< 0.1%

2014-06
Real number (ℝ)

MISSING  ZEROS 

Distinct637
Distinct (%)30.8%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.11221535
Minimum-2.36
Maximum2.96
Zeros228
Zeros (%)5.7%
Negative316
Negative (%)7.9%
Memory size35.4 KiB
2023-12-12T19:39:10.387599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.36
5-th percentile-0.1365
Q10
median0.097
Q30.195
95-th percentile0.4025
Maximum2.96
Range5.32
Interquartile range (IQR)0.195

Descriptive statistics

Standard deviation0.2166559
Coefficient of variation (CV)1.9307153
Kurtosis32.055556
Mean0.11221535
Median Absolute Deviation (MAD)0.097
Skewness1.0153825
Sum232.398
Variance0.04693978
MonotonicityNot monotonic
2023-12-12T19:39:10.536426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 228
 
5.7%
0.106 14
 
0.3%
0.083 12
 
0.3%
0.089 12
 
0.3%
0.128 12
 
0.3%
0.148 11
 
0.3%
0.054 10
 
0.2%
0.067 10
 
0.2%
0.026 10
 
0.2%
0.099 10
 
0.2%
Other values (627) 1742
43.4%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-2.36 1
< 0.1%
-1.325 1
< 0.1%
-1.306 1
< 0.1%
-1.249 1
< 0.1%
-0.969 1
< 0.1%
-0.833 1
< 0.1%
-0.82 1
< 0.1%
-0.8 1
< 0.1%
-0.788 1
< 0.1%
-0.647 1
< 0.1%
ValueCountFrequency (%)
2.96 1
< 0.1%
1.904 1
< 0.1%
1.713 1
< 0.1%
1.501 1
< 0.1%
1.34 1
< 0.1%
1.316 1
< 0.1%
1.247 1
< 0.1%
1.172 1
< 0.1%
1.127 1
< 0.1%
1.091 1
< 0.1%

2014-07
Real number (ℝ)

MISSING  ZEROS 

Distinct630
Distinct (%)30.1%
Missing1925
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.11396272
Minimum-3.333
Maximum1.912
Zeros276
Zeros (%)6.9%
Negative273
Negative (%)6.8%
Memory size35.4 KiB
2023-12-12T19:39:10.699549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.333
5-th percentile-0.1169
Q10
median0.099
Q30.205
95-th percentile0.43245
Maximum1.912
Range5.245
Interquartile range (IQR)0.205

Descriptive statistics

Standard deviation0.22556554
Coefficient of variation (CV)1.9792924
Kurtosis40.821837
Mean0.11396272
Median Absolute Deviation (MAD)0.099
Skewness-2.2728548
Sum238.41
Variance0.050879813
MonotonicityNot monotonic
2023-12-12T19:39:10.882008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 276
 
6.9%
0.087 12
 
0.3%
0.167 11
 
0.3%
0.084 11
 
0.3%
0.04 10
 
0.2%
0.007 10
 
0.2%
0.083 10
 
0.2%
0.158 10
 
0.2%
0.099 10
 
0.2%
0.065 10
 
0.2%
Other values (620) 1722
42.9%
(Missing) 1925
47.9%
ValueCountFrequency (%)
-3.333 1
< 0.1%
-2.228 1
< 0.1%
-1.65 1
< 0.1%
-1.565 1
< 0.1%
-1.328 1
< 0.1%
-1.172 1
< 0.1%
-1.017 1
< 0.1%
-0.945 1
< 0.1%
-0.933 1
< 0.1%
-0.776 1
< 0.1%
ValueCountFrequency (%)
1.912 1
< 0.1%
1.677 1
< 0.1%
1.411 1
< 0.1%
1.125 1
< 0.1%
1.088 1
< 0.1%
1.028 1
< 0.1%
1.022 1
< 0.1%
0.983 1
< 0.1%
0.976 1
< 0.1%
0.897 1
< 0.1%

2014-08
Real number (ℝ)

MISSING  ZEROS 

Distinct635
Distinct (%)30.4%
Missing1925
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.095567878
Minimum-1.68
Maximum2.895
Zeros261
Zeros (%)6.5%
Negative380
Negative (%)9.5%
Memory size35.4 KiB
2023-12-12T19:39:11.032355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.68
5-th percentile-0.133
Q10
median0.073
Q30.172
95-th percentile0.392
Maximum2.895
Range4.575
Interquartile range (IQR)0.172

Descriptive statistics

Standard deviation0.19767105
Coefficient of variation (CV)2.0683838
Kurtosis26.92935
Mean0.095567878
Median Absolute Deviation (MAD)0.073
Skewness1.4840785
Sum199.928
Variance0.039073844
MonotonicityNot monotonic
2023-12-12T19:39:11.177222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 261
 
6.5%
-0.01 12
 
0.3%
0.028 11
 
0.3%
0.033 11
 
0.3%
0.085 11
 
0.3%
0.099 10
 
0.2%
0.114 10
 
0.2%
0.056 10
 
0.2%
0.067 10
 
0.2%
-0.009 10
 
0.2%
Other values (625) 1736
43.2%
(Missing) 1925
47.9%
ValueCountFrequency (%)
-1.68 1
< 0.1%
-1.009 1
< 0.1%
-0.98 1
< 0.1%
-0.829 1
< 0.1%
-0.803 1
< 0.1%
-0.768 1
< 0.1%
-0.766 1
< 0.1%
-0.725 1
< 0.1%
-0.703 1
< 0.1%
-0.628 1
< 0.1%
ValueCountFrequency (%)
2.895 1
< 0.1%
1.18 1
< 0.1%
1.177 1
< 0.1%
1.1 1
< 0.1%
1.016 1
< 0.1%
1.008 1
< 0.1%
1.003 1
< 0.1%
0.995 1
< 0.1%
0.979 1
< 0.1%
0.906 1
< 0.1%

2014-09
Real number (ℝ)

MISSING  ZEROS 

Distinct599
Distinct (%)28.6%
Missing1925
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.10732839
Minimum-1.959
Maximum1.279
Zeros275
Zeros (%)6.8%
Negative290
Negative (%)7.2%
Memory size35.4 KiB
2023-12-12T19:39:11.335505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.959
5-th percentile-0.09845
Q10
median0.083
Q30.18625
95-th percentile0.3889
Maximum1.279
Range3.238
Interquartile range (IQR)0.18625

Descriptive statistics

Standard deviation0.18045344
Coefficient of variation (CV)1.6813206
Kurtosis18.229046
Mean0.10732839
Median Absolute Deviation (MAD)0.083
Skewness-0.30881157
Sum224.531
Variance0.032563445
MonotonicityNot monotonic
2023-12-12T19:39:11.485965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 275
 
6.8%
0.188 12
 
0.3%
0.05 12
 
0.3%
0.083 12
 
0.3%
0.086 12
 
0.3%
0.057 11
 
0.3%
0.077 10
 
0.2%
0.008 10
 
0.2%
0.181 10
 
0.2%
0.112 10
 
0.2%
Other values (589) 1718
42.8%
(Missing) 1925
47.9%
ValueCountFrequency (%)
-1.959 1
< 0.1%
-1.622 1
< 0.1%
-1.053 1
< 0.1%
-1.036 1
< 0.1%
-0.647 1
< 0.1%
-0.627 1
< 0.1%
-0.586 1
< 0.1%
-0.556 1
< 0.1%
-0.492 1
< 0.1%
-0.441 1
< 0.1%
ValueCountFrequency (%)
1.279 1
< 0.1%
1.257 1
< 0.1%
1.218 1
< 0.1%
1.167 1
< 0.1%
1.129 1
< 0.1%
0.979 1
< 0.1%
0.966 1
< 0.1%
0.919 1
< 0.1%
0.917 1
< 0.1%
0.813 1
< 0.1%

2014-10
Real number (ℝ)

MISSING  ZEROS 

Distinct644
Distinct (%)30.8%
Missing1925
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.13048948
Minimum-2.502
Maximum3.137
Zeros260
Zeros (%)6.5%
Negative269
Negative (%)6.7%
Memory size35.4 KiB
2023-12-12T19:39:11.645546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.502
5-th percentile-0.0959
Q10
median0.111
Q30.219
95-th percentile0.4348
Maximum3.137
Range5.639
Interquartile range (IQR)0.219

Descriptive statistics

Standard deviation0.22666789
Coefficient of variation (CV)1.7370586
Kurtosis38.550232
Mean0.13048948
Median Absolute Deviation (MAD)0.1095
Skewness1.284269
Sum272.984
Variance0.05137833
MonotonicityNot monotonic
2023-12-12T19:39:11.819956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 260
 
6.5%
0.139 11
 
0.3%
0.131 10
 
0.2%
0.12 10
 
0.2%
0.111 10
 
0.2%
0.072 10
 
0.2%
0.035 10
 
0.2%
0.116 10
 
0.2%
0.123 9
 
0.2%
0.115 9
 
0.2%
Other values (634) 1743
43.4%
(Missing) 1925
47.9%
ValueCountFrequency (%)
-2.502 1
< 0.1%
-1.725 1
< 0.1%
-1.519 1
< 0.1%
-1.33 1
< 0.1%
-0.853 1
< 0.1%
-0.819 1
< 0.1%
-0.693 1
< 0.1%
-0.648 1
< 0.1%
-0.624 1
< 0.1%
-0.541 1
< 0.1%
ValueCountFrequency (%)
3.137 1
< 0.1%
2.362 1
< 0.1%
2.345 1
< 0.1%
1.53 1
< 0.1%
1.385 1
< 0.1%
1.382 1
< 0.1%
1.307 1
< 0.1%
1.176 1
< 0.1%
1.078 1
< 0.1%
1.074 1
< 0.1%

2014-11
Real number (ℝ)

MISSING  ZEROS 

Distinct588
Distinct (%)28.1%
Missing1925
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.11375191
Minimum-1.132
Maximum6.248
Zeros288
Zeros (%)7.2%
Negative233
Negative (%)5.8%
Memory size35.4 KiB
2023-12-12T19:39:12.392462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.132
5-th percentile-0.087
Q10.002
median0.085
Q30.183
95-th percentile0.37145
Maximum6.248
Range7.38
Interquartile range (IQR)0.181

Descriptive statistics

Standard deviation0.22004661
Coefficient of variation (CV)1.9344432
Kurtosis296.54162
Mean0.11375191
Median Absolute Deviation (MAD)0.085
Skewness11.370433
Sum237.969
Variance0.048420511
MonotonicityNot monotonic
2023-12-12T19:39:12.597948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 288
 
7.2%
0.106 14
 
0.3%
0.042 14
 
0.3%
0.081 13
 
0.3%
0.039 12
 
0.3%
0.084 12
 
0.3%
0.089 11
 
0.3%
0.056 11
 
0.3%
0.061 11
 
0.3%
0.159 10
 
0.2%
Other values (578) 1696
42.2%
(Missing) 1925
47.9%
ValueCountFrequency (%)
-1.132 1
< 0.1%
-0.849 1
< 0.1%
-0.79 1
< 0.1%
-0.582 1
< 0.1%
-0.551 1
< 0.1%
-0.499 1
< 0.1%
-0.481 1
< 0.1%
-0.478 1
< 0.1%
-0.455 1
< 0.1%
-0.437 2
< 0.1%
ValueCountFrequency (%)
6.248 1
< 0.1%
2.287 1
< 0.1%
1.679 1
< 0.1%
1.574 1
< 0.1%
1.385 1
< 0.1%
1.133 1
< 0.1%
1.067 1
< 0.1%
1.001 1
< 0.1%
0.925 1
< 0.1%
0.836 1
< 0.1%

2014-12
Real number (ℝ)

MISSING  ZEROS 

Distinct619
Distinct (%)29.4%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.13245109
Minimum-2.139
Maximum3.515
Zeros298
Zeros (%)7.4%
Negative228
Negative (%)5.7%
Memory size35.4 KiB
2023-12-12T19:39:12.774669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.139
5-th percentile-0.08875
Q10.00125
median0.106
Q30.207
95-th percentile0.443
Maximum3.515
Range5.654
Interquartile range (IQR)0.20575

Descriptive statistics

Standard deviation0.26352194
Coefficient of variation (CV)1.9895792
Kurtosis47.529355
Mean0.13245109
Median Absolute Deviation (MAD)0.102
Skewness3.2372542
Sum278.942
Variance0.069443813
MonotonicityNot monotonic
2023-12-12T19:39:12.958359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 298
 
7.4%
0.105 14
 
0.3%
0.082 12
 
0.3%
0.076 12
 
0.3%
0.129 11
 
0.3%
0.131 11
 
0.3%
0.166 11
 
0.3%
0.138 11
 
0.3%
0.174 9
 
0.2%
0.223 9
 
0.2%
Other values (609) 1708
42.5%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-2.139 1
< 0.1%
-1.97 1
< 0.1%
-1.847 1
< 0.1%
-1.395 1
< 0.1%
-1.359 1
< 0.1%
-0.927 1
< 0.1%
-0.849 1
< 0.1%
-0.846 2
< 0.1%
-0.782 1
< 0.1%
-0.624 1
< 0.1%
ValueCountFrequency (%)
3.515 1
< 0.1%
3.134 1
< 0.1%
2.894 1
< 0.1%
2.654 1
< 0.1%
2.525 2
< 0.1%
2.315 1
< 0.1%
1.972 1
< 0.1%
1.564 1
< 0.1%
1.373 1
< 0.1%
1.248 1
< 0.1%

2015-01
Real number (ℝ)

MISSING  ZEROS 

Distinct598
Distinct (%)28.4%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.10122127
Minimum-3.298
Maximum1.391
Zeros297
Zeros (%)7.4%
Negative287
Negative (%)7.1%
Memory size35.4 KiB
2023-12-12T19:39:13.157242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.298
5-th percentile-0.10875
Q10
median0.079
Q30.176
95-th percentile0.37075
Maximum1.391
Range4.689
Interquartile range (IQR)0.176

Descriptive statistics

Standard deviation0.18924894
Coefficient of variation (CV)1.8696558
Kurtosis56.106113
Mean0.10122127
Median Absolute Deviation (MAD)0.079
Skewness-1.7008424
Sum213.172
Variance0.035815161
MonotonicityNot monotonic
2023-12-12T19:39:13.340246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 297
 
7.4%
0.116 13
 
0.3%
0.077 13
 
0.3%
0.091 13
 
0.3%
0.063 13
 
0.3%
0.041 12
 
0.3%
0.065 11
 
0.3%
0.032 11
 
0.3%
0.141 11
 
0.3%
0.039 10
 
0.2%
Other values (588) 1702
42.4%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-3.298 1
< 0.1%
-1.212 1
< 0.1%
-0.849 1
< 0.1%
-0.67 1
< 0.1%
-0.619 1
< 0.1%
-0.515 1
< 0.1%
-0.473 1
< 0.1%
-0.471 1
< 0.1%
-0.46 1
< 0.1%
-0.419 1
< 0.1%
ValueCountFrequency (%)
1.391 1
< 0.1%
1.332 1
< 0.1%
1.257 1
< 0.1%
1.2 2
< 0.1%
1.196 1
< 0.1%
1.042 1
< 0.1%
0.983 1
< 0.1%
0.892 1
< 0.1%
0.882 1
< 0.1%
0.881 1
< 0.1%

2015-02
Real number (ℝ)

MISSING  ZEROS 

Distinct609
Distinct (%)28.9%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.09611491
Minimum-1.544
Maximum3.548
Zeros283
Zeros (%)7.0%
Negative324
Negative (%)8.1%
Memory size35.4 KiB
2023-12-12T19:39:13.499994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.544
5-th percentile-0.114
Q10
median0.0735
Q30.162
95-th percentile0.36775
Maximum3.548
Range5.092
Interquartile range (IQR)0.162

Descriptive statistics

Standard deviation0.20763828
Coefficient of variation (CV)2.1603129
Kurtosis62.749715
Mean0.09611491
Median Absolute Deviation (MAD)0.0735
Skewness4.0565926
Sum202.418
Variance0.043113657
MonotonicityNot monotonic
2023-12-12T19:39:13.672613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 283
 
7.0%
0.088 13
 
0.3%
0.059 13
 
0.3%
0.107 11
 
0.3%
0.016 11
 
0.3%
0.032 11
 
0.3%
0.006 10
 
0.2%
0.021 10
 
0.2%
0.15 10
 
0.2%
0.168 10
 
0.2%
Other values (599) 1724
42.9%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.544 1
< 0.1%
-1.186 1
< 0.1%
-0.966 1
< 0.1%
-0.883 1
< 0.1%
-0.813 1
< 0.1%
-0.771 1
< 0.1%
-0.701 1
< 0.1%
-0.681 1
< 0.1%
-0.581 1
< 0.1%
-0.542 1
< 0.1%
ValueCountFrequency (%)
3.548 1
< 0.1%
2.91 1
< 0.1%
2.006 1
< 0.1%
1.71 1
< 0.1%
1.594 1
< 0.1%
1.243 1
< 0.1%
1.133 1
< 0.1%
1.041 1
< 0.1%
0.989 1
< 0.1%
0.974 1
< 0.1%

2015-03
Real number (ℝ)

MISSING  ZEROS 

Distinct643
Distinct (%)30.5%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.14739649
Minimum-1.782
Maximum1.689
Zeros101
Zeros (%)2.5%
Negative259
Negative (%)6.4%
Memory size35.4 KiB
2023-12-12T19:39:13.850014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.782
5-th percentile-0.092
Q10.034
median0.138
Q30.23875
95-th percentile0.44
Maximum1.689
Range3.471
Interquartile range (IQR)0.20475

Descriptive statistics

Standard deviation0.20066151
Coefficient of variation (CV)1.3613724
Kurtosis12.896462
Mean0.14739649
Median Absolute Deviation (MAD)0.103
Skewness-0.23029746
Sum310.417
Variance0.040265043
MonotonicityNot monotonic
2023-12-12T19:39:14.101241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 101
 
2.5%
0.15 11
 
0.3%
0.133 11
 
0.3%
0.265 10
 
0.2%
0.154 10
 
0.2%
0.187 10
 
0.2%
0.158 10
 
0.2%
0.166 9
 
0.2%
0.219 9
 
0.2%
0.204 9
 
0.2%
Other values (633) 1916
47.7%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.782 1
< 0.1%
-1.408 1
< 0.1%
-1.373 1
< 0.1%
-0.908 1
< 0.1%
-0.838 1
< 0.1%
-0.824 1
< 0.1%
-0.655 1
< 0.1%
-0.621 1
< 0.1%
-0.617 1
< 0.1%
-0.604 1
< 0.1%
ValueCountFrequency (%)
1.689 1
< 0.1%
1.414 1
< 0.1%
1.246 1
< 0.1%
1.223 1
< 0.1%
1.153 1
< 0.1%
1.144 1
< 0.1%
1.083 1
< 0.1%
1.016 1
< 0.1%
0.942 1
< 0.1%
0.912 1
< 0.1%

2015-04
Real number (ℝ)

MISSING  ZEROS 

Distinct645
Distinct (%)30.6%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.14911918
Minimum-2.093
Maximum1.883
Zeros192
Zeros (%)4.8%
Negative204
Negative (%)5.1%
Memory size35.4 KiB
2023-12-12T19:39:14.279670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.093
5-th percentile-0.09225
Q10.042
median0.1355
Q30.239
95-th percentile0.463
Maximum1.883
Range3.976
Interquartile range (IQR)0.197

Descriptive statistics

Standard deviation0.21000797
Coefficient of variation (CV)1.408323
Kurtosis16.392953
Mean0.14911918
Median Absolute Deviation (MAD)0.0985
Skewness-0.22699442
Sum314.045
Variance0.044103347
MonotonicityNot monotonic
2023-12-12T19:39:14.521637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 192
 
4.8%
0.078 12
 
0.3%
0.182 11
 
0.3%
0.161 11
 
0.3%
0.107 11
 
0.3%
0.232 10
 
0.2%
0.128 10
 
0.2%
0.108 10
 
0.2%
0.125 10
 
0.2%
0.21 10
 
0.2%
Other values (635) 1819
45.3%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-2.093 1
< 0.1%
-1.382 1
< 0.1%
-1.379 1
< 0.1%
-1.356 1
< 0.1%
-0.904 1
< 0.1%
-0.789 1
< 0.1%
-0.775 1
< 0.1%
-0.685 1
< 0.1%
-0.677 1
< 0.1%
-0.672 1
< 0.1%
ValueCountFrequency (%)
1.883 1
< 0.1%
1.501 1
< 0.1%
1.368 1
< 0.1%
1.345 1
< 0.1%
1.279 1
< 0.1%
1.165 1
< 0.1%
1.164 1
< 0.1%
1.158 1
< 0.1%
1.143 1
< 0.1%
1.123 1
< 0.1%

2015-05
Real number (ℝ)

MISSING  ZEROS 

Distinct660
Distinct (%)31.3%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.14224549
Minimum-3.376
Maximum9.132
Zeros143
Zeros (%)3.6%
Negative253
Negative (%)6.3%
Memory size35.4 KiB
2023-12-12T19:39:14.746749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.376
5-th percentile-0.1195
Q10.031
median0.119
Q30.217
95-th percentile0.46775
Maximum9.132
Range12.508
Interquartile range (IQR)0.186

Descriptive statistics

Standard deviation0.31978193
Coefficient of variation (CV)2.2480989
Kurtosis315.07601
Mean0.14224549
Median Absolute Deviation (MAD)0.0935
Skewness10.491221
Sum299.569
Variance0.10226048
MonotonicityNot monotonic
2023-12-12T19:39:14.952405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 143
 
3.6%
0.1 14
 
0.3%
0.128 13
 
0.3%
0.157 12
 
0.3%
0.033 12
 
0.3%
0.109 11
 
0.3%
0.097 11
 
0.3%
0.161 11
 
0.3%
0.035 10
 
0.2%
0.257 10
 
0.2%
Other values (650) 1859
46.3%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-3.376 1
< 0.1%
-2.882 1
< 0.1%
-1.439 1
< 0.1%
-1.209 1
< 0.1%
-0.945 1
< 0.1%
-0.896 1
< 0.1%
-0.87 1
< 0.1%
-0.797 1
< 0.1%
-0.782 1
< 0.1%
-0.779 1
< 0.1%
ValueCountFrequency (%)
9.132 1
< 0.1%
3.424 1
< 0.1%
2.623 1
< 0.1%
1.766 1
< 0.1%
1.734 1
< 0.1%
1.52 1
< 0.1%
1.371 1
< 0.1%
1.305 1
< 0.1%
1.232 1
< 0.1%
1.175 1
< 0.1%

2015-06
Real number (ℝ)

MISSING  ZEROS 

Distinct628
Distinct (%)29.8%
Missing1908
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean0.17286818
Minimum-1.346
Maximum7.214
Zeros251
Zeros (%)6.2%
Negative141
Negative (%)3.5%
Memory size35.4 KiB
2023-12-12T19:39:15.162138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.346
5-th percentile-0.032
Q10.045
median0.148
Q30.241
95-th percentile0.504
Maximum7.214
Range8.56
Interquartile range (IQR)0.196

Descriptive statistics

Standard deviation0.26138881
Coefficient of variation (CV)1.5120701
Kurtosis255.0761
Mean0.17286818
Median Absolute Deviation (MAD)0.098
Skewness10.300389
Sum364.579
Variance0.068324113
MonotonicityNot monotonic
2023-12-12T19:39:15.358719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 251
 
6.2%
0.127 16
 
0.4%
0.05 12
 
0.3%
0.089 12
 
0.3%
0.216 11
 
0.3%
0.069 11
 
0.3%
0.21 10
 
0.2%
0.099 10
 
0.2%
0.158 10
 
0.2%
0.157 10
 
0.2%
Other values (618) 1756
43.7%
(Missing) 1908
47.5%
ValueCountFrequency (%)
-1.346 1
< 0.1%
-0.8 1
< 0.1%
-0.73 1
< 0.1%
-0.643 1
< 0.1%
-0.544 1
< 0.1%
-0.415 1
< 0.1%
-0.391 1
< 0.1%
-0.387 1
< 0.1%
-0.379 1
< 0.1%
-0.369 1
< 0.1%
ValueCountFrequency (%)
7.214 1
< 0.1%
2.281 1
< 0.1%
1.969 1
< 0.1%
1.749 1
< 0.1%
1.741 1
< 0.1%
1.468 1
< 0.1%
1.355 1
< 0.1%
1.286 1
< 0.1%
1.207 1
< 0.1%
1.192 1
< 0.1%

2015-07
Real number (ℝ)

MISSING  ZEROS 

Distinct641
Distinct (%)30.4%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.16936562
Minimum-1.931
Maximum3.114
Zeros206
Zeros (%)5.1%
Negative139
Negative (%)3.5%
Memory size35.4 KiB
2023-12-12T19:39:15.515923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.931
5-th percentile-0.03375
Q10.04825
median0.1465
Q30.259
95-th percentile0.49175
Maximum3.114
Range5.045
Interquartile range (IQR)0.21075

Descriptive statistics

Standard deviation0.23347082
Coefficient of variation (CV)1.3785018
Kurtosis33.985606
Mean0.16936562
Median Absolute Deviation (MAD)0.1045
Skewness1.8711095
Sum356.684
Variance0.054508622
MonotonicityNot monotonic
2023-12-12T19:39:15.703733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 206
 
5.1%
0.128 11
 
0.3%
0.304 11
 
0.3%
0.193 11
 
0.3%
0.152 10
 
0.2%
0.119 10
 
0.2%
0.127 10
 
0.2%
0.15 10
 
0.2%
0.179 10
 
0.2%
0.072 9
 
0.2%
Other values (631) 1808
45.0%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.931 1
< 0.1%
-1.549 1
< 0.1%
-1.53 1
< 0.1%
-1.209 1
< 0.1%
-1.002 1
< 0.1%
-0.861 1
< 0.1%
-0.711 1
< 0.1%
-0.689 1
< 0.1%
-0.662 1
< 0.1%
-0.532 1
< 0.1%
ValueCountFrequency (%)
3.114 1
< 0.1%
3.087 1
< 0.1%
1.745 1
< 0.1%
1.721 1
< 0.1%
1.479 1
< 0.1%
1.473 1
< 0.1%
1.387 1
< 0.1%
1.358 1
< 0.1%
1.244 1
< 0.1%
1.19 1
< 0.1%

2015-08
Real number (ℝ)

MISSING  ZEROS 

Distinct602
Distinct (%)28.6%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.14715622
Minimum-1.74
Maximum3.017
Zeros246
Zeros (%)6.1%
Negative164
Negative (%)4.1%
Memory size35.4 KiB
2023-12-12T19:39:15.861545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-0.038
Q10.034
median0.132
Q30.226
95-th percentile0.4185
Maximum3.017
Range4.757
Interquartile range (IQR)0.192

Descriptive statistics

Standard deviation0.20035579
Coefficient of variation (CV)1.3615176
Kurtosis34.260253
Mean0.14715622
Median Absolute Deviation (MAD)0.095
Skewness2.341423
Sum309.911
Variance0.040142443
MonotonicityNot monotonic
2023-12-12T19:39:16.031236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 246
 
6.1%
0.154 12
 
0.3%
0.173 12
 
0.3%
0.071 12
 
0.3%
0.199 11
 
0.3%
0.098 10
 
0.2%
0.148 10
 
0.2%
0.117 10
 
0.2%
0.086 10
 
0.2%
0.104 10
 
0.2%
Other values (592) 1763
43.9%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.74 1
< 0.1%
-0.875 1
< 0.1%
-0.822 1
< 0.1%
-0.731 1
< 0.1%
-0.643 2
< 0.1%
-0.628 1
< 0.1%
-0.543 1
< 0.1%
-0.538 1
< 0.1%
-0.51 1
< 0.1%
-0.47 1
< 0.1%
ValueCountFrequency (%)
3.017 1
< 0.1%
2.118 1
< 0.1%
1.752 1
< 0.1%
1.657 1
< 0.1%
1.328 1
< 0.1%
1.149 1
< 0.1%
1.109 1
< 0.1%
1.103 1
< 0.1%
1.058 1
< 0.1%
1.047 1
< 0.1%

2015-09
Real number (ℝ)

MISSING  ZEROS 

Distinct600
Distinct (%)28.5%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.15718851
Minimum-1.064
Maximum5.599
Zeros260
Zeros (%)6.5%
Negative151
Negative (%)3.8%
Memory size35.4 KiB
2023-12-12T19:39:16.206103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.064
5-th percentile-0.0285
Q10.03525
median0.1325
Q30.231
95-th percentile0.46075
Maximum5.599
Range6.663
Interquartile range (IQR)0.19575

Descriptive statistics

Standard deviation0.21905069
Coefficient of variation (CV)1.3935541
Kurtosis185.8182
Mean0.15718851
Median Absolute Deviation (MAD)0.0985
Skewness8.1881233
Sum331.039
Variance0.047983204
MonotonicityNot monotonic
2023-12-12T19:39:16.355249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 260
 
6.5%
0.07 11
 
0.3%
0.095 11
 
0.3%
0.083 11
 
0.3%
0.115 10
 
0.2%
0.137 10
 
0.2%
0.101 10
 
0.2%
0.211 10
 
0.2%
0.1 10
 
0.2%
0.088 10
 
0.2%
Other values (590) 1753
43.6%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.064 1
< 0.1%
-0.768 1
< 0.1%
-0.602 1
< 0.1%
-0.466 1
< 0.1%
-0.452 1
< 0.1%
-0.447 1
< 0.1%
-0.435 1
< 0.1%
-0.433 1
< 0.1%
-0.397 1
< 0.1%
-0.394 1
< 0.1%
ValueCountFrequency (%)
5.599 1
< 0.1%
2.046 1
< 0.1%
1.599 1
< 0.1%
1.395 1
< 0.1%
1.318 1
< 0.1%
1.127 1
< 0.1%
1.05 1
< 0.1%
1.047 1
< 0.1%
0.999 1
< 0.1%
0.9 1
< 0.1%

2015-10
Real number (ℝ)

MISSING  ZEROS 

Distinct626
Distinct (%)29.7%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.1768604
Minimum-2.367
Maximum2.16
Zeros232
Zeros (%)5.8%
Negative132
Negative (%)3.3%
Memory size35.4 KiB
2023-12-12T19:39:16.526779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.367
5-th percentile-0.01975
Q10.047
median0.157
Q30.262
95-th percentile0.50875
Maximum2.16
Range4.527
Interquartile range (IQR)0.215

Descriptive statistics

Standard deviation0.21553433
Coefficient of variation (CV)1.2186693
Kurtosis22.153678
Mean0.1768604
Median Absolute Deviation (MAD)0.108
Skewness0.26174834
Sum372.468
Variance0.046455049
MonotonicityNot monotonic
2023-12-12T19:39:16.699759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 232
 
5.8%
0.141 12
 
0.3%
0.182 11
 
0.3%
0.137 11
 
0.3%
0.154 10
 
0.2%
0.09 10
 
0.2%
0.193 10
 
0.2%
0.191 10
 
0.2%
0.286 10
 
0.2%
0.096 9
 
0.2%
Other values (616) 1781
44.3%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-2.367 1
< 0.1%
-1.93 1
< 0.1%
-0.819 1
< 0.1%
-0.706 1
< 0.1%
-0.598 1
< 0.1%
-0.576 2
< 0.1%
-0.524 1
< 0.1%
-0.495 1
< 0.1%
-0.467 1
< 0.1%
-0.457 1
< 0.1%
ValueCountFrequency (%)
2.16 1
< 0.1%
2.025 1
< 0.1%
1.484 1
< 0.1%
1.366 1
< 0.1%
1.29 1
< 0.1%
1.208 1
< 0.1%
1.08 1
< 0.1%
1.064 1
< 0.1%
1.055 1
< 0.1%
1.023 1
< 0.1%

2015-11
Real number (ℝ)

MISSING  ZEROS 

Distinct667
Distinct (%)31.7%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.21239886
Minimum-1.399
Maximum5.555
Zeros227
Zeros (%)5.7%
Negative116
Negative (%)2.9%
Memory size35.4 KiB
2023-12-12T19:39:16.859544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.399
5-th percentile-0.0085
Q10.06
median0.172
Q30.278
95-th percentile0.59175
Maximum5.555
Range6.954
Interquartile range (IQR)0.218

Descriptive statistics

Standard deviation0.30910666
Coefficient of variation (CV)1.4553122
Kurtosis65.622133
Mean0.21239886
Median Absolute Deviation (MAD)0.11
Skewness5.6573575
Sum447.312
Variance0.095546925
MonotonicityNot monotonic
2023-12-12T19:39:17.032001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 227
 
5.7%
0.181 14
 
0.3%
0.225 12
 
0.3%
0.212 11
 
0.3%
0.268 10
 
0.2%
0.204 10
 
0.2%
0.15 10
 
0.2%
0.133 9
 
0.2%
0.177 9
 
0.2%
0.273 9
 
0.2%
Other values (657) 1785
44.4%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.399 1
< 0.1%
-0.762 1
< 0.1%
-0.726 1
< 0.1%
-0.636 1
< 0.1%
-0.629 1
< 0.1%
-0.556 1
< 0.1%
-0.523 1
< 0.1%
-0.519 1
< 0.1%
-0.502 1
< 0.1%
-0.388 1
< 0.1%
ValueCountFrequency (%)
5.555 1
< 0.1%
3.851 1
< 0.1%
2.853 1
< 0.1%
2.66 2
< 0.1%
2.63 1
< 0.1%
2.468 1
< 0.1%
2.293 1
< 0.1%
2.096 2
< 0.1%
2.02 1
< 0.1%
1.915 1
< 0.1%

2015-12
Real number (ℝ)

MISSING  ZEROS 

Distinct663
Distinct (%)31.5%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.21200855
Minimum-3.366
Maximum3.203
Zeros238
Zeros (%)5.9%
Negative103
Negative (%)2.6%
Memory size35.4 KiB
2023-12-12T19:39:17.291497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.366
5-th percentile0
Q10.063
median0.168
Q30.28975
95-th percentile0.5545
Maximum3.203
Range6.569
Interquartile range (IQR)0.22675

Descriptive statistics

Standard deviation0.29987277
Coefficient of variation (CV)1.4144372
Kurtosis35.514719
Mean0.21200855
Median Absolute Deviation (MAD)0.112
Skewness2.9722503
Sum446.49
Variance0.089923676
MonotonicityNot monotonic
2023-12-12T19:39:17.483522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 238
 
5.9%
0.223 12
 
0.3%
0.168 12
 
0.3%
0.16 12
 
0.3%
0.21 11
 
0.3%
0.063 10
 
0.2%
0.13 10
 
0.2%
0.051 10
 
0.2%
0.204 10
 
0.2%
0.129 10
 
0.2%
Other values (653) 1771
44.1%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-3.366 1
< 0.1%
-0.892 1
< 0.1%
-0.755 1
< 0.1%
-0.534 1
< 0.1%
-0.511 1
< 0.1%
-0.506 1
< 0.1%
-0.492 1
< 0.1%
-0.491 1
< 0.1%
-0.481 1
< 0.1%
-0.462 1
< 0.1%
ValueCountFrequency (%)
3.203 1
< 0.1%
3.073 1
< 0.1%
2.992 2
< 0.1%
2.779 1
< 0.1%
2.297 1
< 0.1%
2.254 1
< 0.1%
2.0 2
< 0.1%
1.908 1
< 0.1%
1.901 1
< 0.1%
1.881 2
< 0.1%

2016-01
Real number (ℝ)

MISSING  ZEROS 

Distinct553
Distinct (%)26.3%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.14125499
Minimum-0.696
Maximum1.894
Zeros269
Zeros (%)6.7%
Negative172
Negative (%)4.3%
Memory size35.4 KiB
2023-12-12T19:39:18.050330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.696
5-th percentile-0.042
Q10.02025
median0.111
Q30.202
95-th percentile0.399
Maximum1.894
Range2.59
Interquartile range (IQR)0.18175

Descriptive statistics

Standard deviation0.22034618
Coefficient of variation (CV)1.5599179
Kurtosis20.861417
Mean0.14125499
Median Absolute Deviation (MAD)0.091
Skewness3.5498801
Sum297.483
Variance0.04855244
MonotonicityNot monotonic
2023-12-12T19:39:18.276850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 269
 
6.7%
0.116 12
 
0.3%
0.063 11
 
0.3%
0.022 11
 
0.3%
0.048 11
 
0.3%
0.036 11
 
0.3%
0.046 10
 
0.2%
0.156 10
 
0.2%
0.079 10
 
0.2%
0.181 10
 
0.2%
Other values (543) 1741
43.3%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-0.696 1
< 0.1%
-0.626 1
< 0.1%
-0.549 1
< 0.1%
-0.547 1
< 0.1%
-0.521 1
< 0.1%
-0.5 1
< 0.1%
-0.448 1
< 0.1%
-0.418 1
< 0.1%
-0.409 1
< 0.1%
-0.389 1
< 0.1%
ValueCountFrequency (%)
1.894 1
< 0.1%
1.8 1
< 0.1%
1.762 2
< 0.1%
1.744 1
< 0.1%
1.725 1
< 0.1%
1.67 2
< 0.1%
1.66 1
< 0.1%
1.631 1
< 0.1%
1.571 2
< 0.1%
1.538 1
< 0.1%

2016-02
Real number (ℝ)

MISSING  ZEROS 

Distinct556
Distinct (%)26.4%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.13887322
Minimum-1.203
Maximum1.352
Zeros281
Zeros (%)7.0%
Negative144
Negative (%)3.6%
Memory size35.4 KiB
2023-12-12T19:39:18.506902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.203
5-th percentile-0.02475
Q10.025
median0.114
Q30.199
95-th percentile0.4095
Maximum1.352
Range2.555
Interquartile range (IQR)0.174

Descriptive statistics

Standard deviation0.1860599
Coefficient of variation (CV)1.3397824
Kurtosis11.01454
Mean0.13887322
Median Absolute Deviation (MAD)0.087
Skewness1.8279882
Sum292.467
Variance0.034618286
MonotonicityNot monotonic
2023-12-12T19:39:18.709908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 281
 
7.0%
0.114 15
 
0.4%
0.1 13
 
0.3%
0.125 13
 
0.3%
0.15 13
 
0.3%
0.112 12
 
0.3%
0.083 12
 
0.3%
0.118 11
 
0.3%
0.214 11
 
0.3%
0.181 10
 
0.2%
Other values (546) 1715
42.7%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.203 1
< 0.1%
-0.926 1
< 0.1%
-0.666 1
< 0.1%
-0.652 1
< 0.1%
-0.561 1
< 0.1%
-0.528 1
< 0.1%
-0.444 1
< 0.1%
-0.393 1
< 0.1%
-0.342 1
< 0.1%
-0.337 1
< 0.1%
ValueCountFrequency (%)
1.352 1
< 0.1%
1.31 2
< 0.1%
1.267 1
< 0.1%
1.239 1
< 0.1%
1.182 1
< 0.1%
1.141 1
< 0.1%
1.123 1
< 0.1%
1.105 2
< 0.1%
1.101 2
< 0.1%
1.1 1
< 0.1%

2016-03
Real number (ℝ)

MISSING  ZEROS 

Distinct612
Distinct (%)29.1%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.18971747
Minimum-2.61
Maximum2.056
Zeros226
Zeros (%)5.6%
Negative92
Negative (%)2.3%
Memory size35.4 KiB
2023-12-12T19:39:18.909807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.61
5-th percentile0
Q10.06425
median0.169
Q30.264
95-th percentile0.5135
Maximum2.056
Range4.666
Interquartile range (IQR)0.19975

Descriptive statistics

Standard deviation0.22009445
Coefficient of variation (CV)1.1601169
Kurtosis23.154983
Mean0.18971747
Median Absolute Deviation (MAD)0.101
Skewness0.91529812
Sum399.545
Variance0.048441567
MonotonicityNot monotonic
2023-12-12T19:39:19.097653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 226
 
5.6%
0.199 18
 
0.4%
0.16 16
 
0.4%
0.125 12
 
0.3%
0.123 12
 
0.3%
0.209 11
 
0.3%
0.169 11
 
0.3%
0.176 11
 
0.3%
0.251 10
 
0.2%
0.159 10
 
0.2%
Other values (602) 1769
44.0%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-2.61 1
< 0.1%
-0.843 1
< 0.1%
-0.757 1
< 0.1%
-0.696 1
< 0.1%
-0.574 1
< 0.1%
-0.544 1
< 0.1%
-0.466 1
< 0.1%
-0.457 1
< 0.1%
-0.442 1
< 0.1%
-0.428 1
< 0.1%
ValueCountFrequency (%)
2.056 1
< 0.1%
2.053 1
< 0.1%
1.833 1
< 0.1%
1.469 1
< 0.1%
1.413 2
< 0.1%
1.316 1
< 0.1%
1.31 1
< 0.1%
1.287 2
< 0.1%
1.257 1
< 0.1%
1.188 1
< 0.1%

2016-04
Real number (ℝ)

MISSING  ZEROS 

Distinct622
Distinct (%)29.5%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.1666491
Minimum-1.396
Maximum3.381
Zeros177
Zeros (%)4.4%
Negative153
Negative (%)3.8%
Memory size35.4 KiB
2023-12-12T19:39:19.315275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.396
5-th percentile-0.0465
Q10.05225
median0.146
Q30.236
95-th percentile0.47775
Maximum3.381
Range4.777
Interquartile range (IQR)0.18375

Descriptive statistics

Standard deviation0.21917863
Coefficient of variation (CV)1.3152104
Kurtosis36.673839
Mean0.1666491
Median Absolute Deviation (MAD)0.091
Skewness2.8699024
Sum350.963
Variance0.048039274
MonotonicityNot monotonic
2023-12-12T19:39:19.547531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 177
 
4.4%
0.186 11
 
0.3%
0.221 11
 
0.3%
0.156 11
 
0.3%
0.164 11
 
0.3%
0.128 11
 
0.3%
0.088 11
 
0.3%
0.157 10
 
0.2%
0.181 10
 
0.2%
0.228 10
 
0.2%
Other values (612) 1833
45.6%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.396 1
< 0.1%
-1.047 1
< 0.1%
-0.938 1
< 0.1%
-0.931 1
< 0.1%
-0.897 1
< 0.1%
-0.852 1
< 0.1%
-0.696 1
< 0.1%
-0.662 1
< 0.1%
-0.543 1
< 0.1%
-0.512 1
< 0.1%
ValueCountFrequency (%)
3.381 1
< 0.1%
2.652 1
< 0.1%
1.679 1
< 0.1%
1.541 1
< 0.1%
1.421 1
< 0.1%
1.369 1
< 0.1%
1.273 1
< 0.1%
1.233 1
< 0.1%
1.179 1
< 0.1%
1.159 2
< 0.1%

2016-05
Real number (ℝ)

MISSING  ZEROS 

Distinct599
Distinct (%)28.4%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.16553704
Minimum-1.169
Maximum3.226
Zeros212
Zeros (%)5.3%
Negative122
Negative (%)3.0%
Memory size35.4 KiB
2023-12-12T19:39:19.735412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.169
5-th percentile-0.0115
Q10.053
median0.146
Q30.24075
95-th percentile0.45725
Maximum3.226
Range4.395
Interquartile range (IQR)0.18775

Descriptive statistics

Standard deviation0.19402856
Coefficient of variation (CV)1.1721157
Kurtosis42.897384
Mean0.16553704
Median Absolute Deviation (MAD)0.093
Skewness3.350231
Sum348.621
Variance0.037647082
MonotonicityNot monotonic
2023-12-12T19:39:19.918641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 212
 
5.3%
0.139 12
 
0.3%
0.175 12
 
0.3%
0.247 11
 
0.3%
0.091 11
 
0.3%
0.116 11
 
0.3%
0.09 11
 
0.3%
0.061 11
 
0.3%
0.111 11
 
0.3%
0.165 11
 
0.3%
Other values (589) 1793
44.6%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.169 1
< 0.1%
-0.69 1
< 0.1%
-0.534 2
< 0.1%
-0.524 1
< 0.1%
-0.521 1
< 0.1%
-0.472 1
< 0.1%
-0.46 1
< 0.1%
-0.441 1
< 0.1%
-0.438 1
< 0.1%
-0.389 1
< 0.1%
ValueCountFrequency (%)
3.226 1
< 0.1%
2.198 1
< 0.1%
2.166 1
< 0.1%
1.186 1
< 0.1%
1.062 1
< 0.1%
1.022 1
< 0.1%
0.995 1
< 0.1%
0.968 1
< 0.1%
0.953 1
< 0.1%
0.897 1
< 0.1%

2016-06
Real number (ℝ)

MISSING  ZEROS 

Distinct615
Distinct (%)29.2%
Missing1911
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean0.17867236
Minimum-1.889
Maximum2.524
Zeros210
Zeros (%)5.2%
Negative125
Negative (%)3.1%
Memory size35.4 KiB
2023-12-12T19:39:20.129094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.889
5-th percentile-0.02475
Q10.059
median0.158
Q30.259
95-th percentile0.49025
Maximum2.524
Range4.413
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.21833277
Coefficient of variation (CV)1.2219728
Kurtosis23.290633
Mean0.17867236
Median Absolute Deviation (MAD)0.101
Skewness1.5621864
Sum376.284
Variance0.0476692
MonotonicityNot monotonic
2023-12-12T19:39:20.320203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 210
 
5.2%
0.115 12
 
0.3%
0.139 11
 
0.3%
0.149 11
 
0.3%
0.2 11
 
0.3%
0.157 11
 
0.3%
0.109 10
 
0.2%
0.117 10
 
0.2%
0.194 10
 
0.2%
0.154 10
 
0.2%
Other values (605) 1800
44.8%
(Missing) 1911
47.6%
ValueCountFrequency (%)
-1.889 1
< 0.1%
-1.658 1
< 0.1%
-0.908 1
< 0.1%
-0.836 1
< 0.1%
-0.727 1
< 0.1%
-0.715 1
< 0.1%
-0.56 1
< 0.1%
-0.5 2
< 0.1%
-0.487 1
< 0.1%
-0.472 1
< 0.1%
ValueCountFrequency (%)
2.524 1
< 0.1%
2.112 1
< 0.1%
2.057 1
< 0.1%
1.779 1
< 0.1%
1.603 1
< 0.1%
1.464 1
< 0.1%
1.46 1
< 0.1%
1.441 1
< 0.1%
1.38 1
< 0.1%
1.291 1
< 0.1%

2016-07
Real number (ℝ)

MISSING  ZEROS 

Distinct597
Distinct (%)28.5%
Missing1923
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.17330993
Minimum-1.236
Maximum2.123
Zeros223
Zeros (%)5.6%
Negative107
Negative (%)2.7%
Memory size35.4 KiB
2023-12-12T19:39:20.495350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.236
5-th percentile-0.00235
Q10.055
median0.149
Q30.248
95-th percentile0.47335
Maximum2.123
Range3.359
Interquartile range (IQR)0.193

Descriptive statistics

Standard deviation0.2026122
Coefficient of variation (CV)1.1690744
Kurtosis17.010765
Mean0.17330993
Median Absolute Deviation (MAD)0.097
Skewness2.2555621
Sum362.911
Variance0.041051705
MonotonicityNot monotonic
2023-12-12T19:39:20.666369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 223
 
5.6%
0.146 15
 
0.4%
0.129 13
 
0.3%
0.125 12
 
0.3%
0.153 12
 
0.3%
0.126 12
 
0.3%
0.127 11
 
0.3%
0.122 11
 
0.3%
0.176 11
 
0.3%
0.128 10
 
0.2%
Other values (587) 1764
43.9%
(Missing) 1923
47.9%
ValueCountFrequency (%)
-1.236 1
< 0.1%
-0.658 1
< 0.1%
-0.556 1
< 0.1%
-0.538 1
< 0.1%
-0.522 1
< 0.1%
-0.502 1
< 0.1%
-0.462 1
< 0.1%
-0.451 1
< 0.1%
-0.431 1
< 0.1%
-0.421 1
< 0.1%
ValueCountFrequency (%)
2.123 1
< 0.1%
2.07 1
< 0.1%
1.696 1
< 0.1%
1.569 1
< 0.1%
1.542 1
< 0.1%
1.535 2
< 0.1%
1.406 1
< 0.1%
1.221 1
< 0.1%
1.197 1
< 0.1%
1.159 1
< 0.1%

2016-08
Real number (ℝ)

MISSING  ZEROS 

Distinct572
Distinct (%)27.3%
Missing1923
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.17168959
Minimum-0.95
Maximum3.482
Zeros234
Zeros (%)5.8%
Negative99
Negative (%)2.5%
Memory size35.4 KiB
2023-12-12T19:39:20.861354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.95
5-th percentile0
Q10.059
median0.1545
Q30.249
95-th percentile0.45135
Maximum3.482
Range4.432
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1972366
Coefficient of variation (CV)1.1487977
Kurtosis52.288991
Mean0.17168959
Median Absolute Deviation (MAD)0.095
Skewness3.9648564
Sum359.518
Variance0.038902278
MonotonicityNot monotonic
2023-12-12T19:39:21.038321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 234
 
5.8%
0.132 13
 
0.3%
0.162 13
 
0.3%
0.101 11
 
0.3%
0.125 11
 
0.3%
0.184 11
 
0.3%
0.178 10
 
0.2%
0.159 10
 
0.2%
0.157 10
 
0.2%
0.195 10
 
0.2%
Other values (562) 1761
43.8%
(Missing) 1923
47.9%
ValueCountFrequency (%)
-0.95 1
< 0.1%
-0.78 1
< 0.1%
-0.637 2
< 0.1%
-0.547 1
< 0.1%
-0.494 1
< 0.1%
-0.433 2
< 0.1%
-0.368 1
< 0.1%
-0.357 1
< 0.1%
-0.323 1
< 0.1%
-0.298 1
< 0.1%
ValueCountFrequency (%)
3.482 1
< 0.1%
2.104 1
< 0.1%
2.038 1
< 0.1%
1.956 1
< 0.1%
1.702 1
< 0.1%
1.347 1
< 0.1%
0.962 1
< 0.1%
0.938 1
< 0.1%
0.931 1
< 0.1%
0.896 1
< 0.1%

2016-09
Real number (ℝ)

MISSING  ZEROS 

Distinct588
Distinct (%)28.1%
Missing1923
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.17111127
Minimum-0.884
Maximum1.735
Zeros235
Zeros (%)5.9%
Negative110
Negative (%)2.7%
Memory size35.4 KiB
2023-12-12T19:39:21.215074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.884
5-th percentile-0.006
Q10.05
median0.1515
Q30.249
95-th percentile0.474
Maximum1.735
Range2.619
Interquartile range (IQR)0.199

Descriptive statistics

Standard deviation0.18054556
Coefficient of variation (CV)1.0551354
Kurtosis8.2334354
Mean0.17111127
Median Absolute Deviation (MAD)0.0985
Skewness1.3774715
Sum358.307
Variance0.032596699
MonotonicityNot monotonic
2023-12-12T19:39:21.387311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 235
 
5.9%
0.145 11
 
0.3%
0.186 11
 
0.3%
0.144 11
 
0.3%
0.157 11
 
0.3%
0.091 10
 
0.2%
0.216 10
 
0.2%
0.177 10
 
0.2%
0.184 10
 
0.2%
0.13 10
 
0.2%
Other values (578) 1765
43.9%
(Missing) 1923
47.9%
ValueCountFrequency (%)
-0.884 1
< 0.1%
-0.855 1
< 0.1%
-0.57 2
< 0.1%
-0.495 1
< 0.1%
-0.452 1
< 0.1%
-0.386 1
< 0.1%
-0.379 1
< 0.1%
-0.314 1
< 0.1%
-0.247 1
< 0.1%
-0.227 1
< 0.1%
ValueCountFrequency (%)
1.735 1
< 0.1%
1.408 1
< 0.1%
1.275 1
< 0.1%
1.184 1
< 0.1%
1.172 1
< 0.1%
1.134 1
< 0.1%
1.029 1
< 0.1%
1.008 1
< 0.1%
0.995 1
< 0.1%
0.977 1
< 0.1%

2016-10
Real number (ℝ)

MISSING  ZEROS 

Distinct595
Distinct (%)28.4%
Missing1923
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.18878892
Minimum-0.771
Maximum3.765
Zeros241
Zeros (%)6.0%
Negative75
Negative (%)1.9%
Memory size35.4 KiB
2023-12-12T19:39:21.550823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.771
5-th percentile0
Q10.062
median0.164
Q30.27375
95-th percentile0.48635
Maximum3.765
Range4.536
Interquartile range (IQR)0.21175

Descriptive statistics

Standard deviation0.20659811
Coefficient of variation (CV)1.0943339
Kurtosis57.072027
Mean0.18878892
Median Absolute Deviation (MAD)0.104
Skewness4.3733863
Sum395.324
Variance0.042682781
MonotonicityNot monotonic
2023-12-12T19:39:21.706145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 241
 
6.0%
0.201 12
 
0.3%
0.206 11
 
0.3%
0.155 10
 
0.2%
0.15 10
 
0.2%
0.208 10
 
0.2%
0.137 10
 
0.2%
0.104 10
 
0.2%
0.126 10
 
0.2%
0.204 9
 
0.2%
Other values (585) 1761
43.8%
(Missing) 1923
47.9%
ValueCountFrequency (%)
-0.771 1
< 0.1%
-0.511 1
< 0.1%
-0.475 1
< 0.1%
-0.453 1
< 0.1%
-0.418 1
< 0.1%
-0.402 1
< 0.1%
-0.378 1
< 0.1%
-0.376 1
< 0.1%
-0.347 1
< 0.1%
-0.339 1
< 0.1%
ValueCountFrequency (%)
3.765 1
< 0.1%
2.512 1
< 0.1%
2.222 1
< 0.1%
1.497 1
< 0.1%
1.467 1
< 0.1%
1.246 1
< 0.1%
1.124 1
< 0.1%
1.037 1
< 0.1%
1.017 1
< 0.1%
1.004 1
< 0.1%

2016-11
Real number (ℝ)

MISSING  ZEROS 

Distinct619
Distinct (%)29.6%
Missing1923
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.195468
Minimum-0.58
Maximum2.547
Zeros219
Zeros (%)5.5%
Negative90
Negative (%)2.2%
Memory size35.4 KiB
2023-12-12T19:39:21.928986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.58
5-th percentile0
Q10.07025
median0.175
Q30.27875
95-th percentile0.50135
Maximum2.547
Range3.127
Interquartile range (IQR)0.2085

Descriptive statistics

Standard deviation0.20483168
Coefficient of variation (CV)1.0479039
Kurtosis23.871833
Mean0.195468
Median Absolute Deviation (MAD)0.104
Skewness2.8871932
Sum409.31
Variance0.041956018
MonotonicityNot monotonic
2023-12-12T19:39:22.173055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 219
 
5.5%
0.205 11
 
0.3%
0.197 11
 
0.3%
0.131 11
 
0.3%
0.21 11
 
0.3%
0.211 11
 
0.3%
0.208 11
 
0.3%
0.033 11
 
0.3%
0.195 9
 
0.2%
0.076 9
 
0.2%
Other values (609) 1780
44.3%
(Missing) 1923
47.9%
ValueCountFrequency (%)
-0.58 1
< 0.1%
-0.548 1
< 0.1%
-0.536 1
< 0.1%
-0.535 1
< 0.1%
-0.482 1
< 0.1%
-0.397 1
< 0.1%
-0.347 1
< 0.1%
-0.316 1
< 0.1%
-0.313 1
< 0.1%
-0.282 1
< 0.1%
ValueCountFrequency (%)
2.547 1
< 0.1%
2.487 1
< 0.1%
2.07 1
< 0.1%
1.731 1
< 0.1%
1.641 1
< 0.1%
1.403 1
< 0.1%
1.269 1
< 0.1%
1.228 1
< 0.1%
1.216 1
< 0.1%
1.201 1
< 0.1%

2016-12
Real number (ℝ)

MISSING  ZEROS 

Distinct561
Distinct (%)26.9%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.170238
Minimum-1.623
Maximum1.736
Zeros230
Zeros (%)5.7%
Negative80
Negative (%)2.0%
Memory size35.4 KiB
2023-12-12T19:39:22.376801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.623
5-th percentile0
Q10.06
median0.15
Q30.24525
95-th percentile0.44155
Maximum1.736
Range3.359
Interquartile range (IQR)0.18525

Descriptive statistics

Standard deviation0.18154553
Coefficient of variation (CV)1.0664218
Kurtosis17.541021
Mean0.170238
Median Absolute Deviation (MAD)0.092
Skewness1.3115686
Sum354.776
Variance0.032958778
MonotonicityNot monotonic
2023-12-12T19:39:22.583921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 230
 
5.7%
0.15 13
 
0.3%
0.145 12
 
0.3%
0.194 11
 
0.3%
0.143 11
 
0.3%
0.061 11
 
0.3%
0.118 11
 
0.3%
0.164 11
 
0.3%
0.125 11
 
0.3%
0.148 10
 
0.2%
Other values (551) 1753
43.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.623 1
< 0.1%
-1.309 1
< 0.1%
-0.603 1
< 0.1%
-0.461 2
< 0.1%
-0.392 1
< 0.1%
-0.386 1
< 0.1%
-0.31 1
< 0.1%
-0.261 1
< 0.1%
-0.249 1
< 0.1%
-0.236 1
< 0.1%
ValueCountFrequency (%)
1.736 1
< 0.1%
1.531 1
< 0.1%
1.482 1
< 0.1%
1.427 1
< 0.1%
1.394 1
< 0.1%
1.328 1
< 0.1%
1.196 1
< 0.1%
1.194 1
< 0.1%
1.14 1
< 0.1%
1.122 1
< 0.1%

2017-01
Real number (ℝ)

MISSING  ZEROS 

Distinct535
Distinct (%)25.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.15409069
Minimum-0.828
Maximum2.793
Zeros204
Zeros (%)5.1%
Negative107
Negative (%)2.7%
Memory size35.4 KiB
2023-12-12T19:39:22.833720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.828
5-th percentile-0.002
Q10.053
median0.142
Q30.221
95-th percentile0.40685
Maximum2.793
Range3.621
Interquartile range (IQR)0.168

Descriptive statistics

Standard deviation0.17290656
Coefficient of variation (CV)1.1221091
Kurtosis45.006616
Mean0.15409069
Median Absolute Deviation (MAD)0.083
Skewness3.5304637
Sum321.125
Variance0.02989668
MonotonicityNot monotonic
2023-12-12T19:39:23.049758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 204
 
5.1%
0.158 15
 
0.4%
0.179 13
 
0.3%
0.186 13
 
0.3%
0.15 13
 
0.3%
0.094 13
 
0.3%
0.118 12
 
0.3%
0.082 12
 
0.3%
0.131 12
 
0.3%
0.166 11
 
0.3%
Other values (525) 1766
44.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.828 1
< 0.1%
-0.706 1
< 0.1%
-0.667 1
< 0.1%
-0.617 1
< 0.1%
-0.452 1
< 0.1%
-0.392 1
< 0.1%
-0.346 1
< 0.1%
-0.331 1
< 0.1%
-0.328 1
< 0.1%
-0.327 1
< 0.1%
ValueCountFrequency (%)
2.793 1
< 0.1%
2.433 1
< 0.1%
1.392 2
< 0.1%
0.994 1
< 0.1%
0.924 1
< 0.1%
0.882 1
< 0.1%
0.877 1
< 0.1%
0.876 1
< 0.1%
0.868 1
< 0.1%
0.844 1
< 0.1%

2017-02
Real number (ℝ)

MISSING  ZEROS 

Distinct586
Distinct (%)28.1%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.17792418
Minimum-1.131
Maximum2.467
Zeros194
Zeros (%)4.8%
Negative105
Negative (%)2.6%
Memory size35.4 KiB
2023-12-12T19:39:23.250712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.131
5-th percentile-0.00425
Q10.068
median0.166
Q30.262
95-th percentile0.4537
Maximum2.467
Range3.598
Interquartile range (IQR)0.194

Descriptive statistics

Standard deviation0.18824965
Coefficient of variation (CV)1.058033
Kurtosis26.221528
Mean0.17792418
Median Absolute Deviation (MAD)0.0965
Skewness2.0869957
Sum370.794
Variance0.035437931
MonotonicityNot monotonic
2023-12-12T19:39:23.428910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 194
 
4.8%
0.125 14
 
0.3%
0.095 11
 
0.3%
0.092 11
 
0.3%
0.189 11
 
0.3%
0.172 10
 
0.2%
0.173 10
 
0.2%
0.156 10
 
0.2%
0.131 10
 
0.2%
0.395 10
 
0.2%
Other values (576) 1793
44.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.131 1
< 0.1%
-0.965 1
< 0.1%
-0.853 1
< 0.1%
-0.67 1
< 0.1%
-0.628 1
< 0.1%
-0.555 1
< 0.1%
-0.462 1
< 0.1%
-0.441 1
< 0.1%
-0.401 1
< 0.1%
-0.394 1
< 0.1%
ValueCountFrequency (%)
2.467 1
< 0.1%
2.336 1
< 0.1%
2.007 1
< 0.1%
1.167 1
< 0.1%
1.033 1
< 0.1%
1.011 1
< 0.1%
0.988 1
< 0.1%
0.984 1
< 0.1%
0.976 1
< 0.1%
0.969 1
< 0.1%

2017-03
Real number (ℝ)

MISSING  ZEROS 

Distinct670
Distinct (%)32.1%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.2555144
Minimum-0.943
Maximum2.398
Zeros157
Zeros (%)3.9%
Negative62
Negative (%)1.5%
Memory size35.4 KiB
2023-12-12T19:39:23.962929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.943
5-th percentile0
Q10.12075
median0.242
Q30.354
95-th percentile0.59785
Maximum2.398
Range3.341
Interquartile range (IQR)0.23325

Descriptive statistics

Standard deviation0.22137355
Coefficient of variation (CV)0.86638387
Kurtosis11.593013
Mean0.2555144
Median Absolute Deviation (MAD)0.117
Skewness1.6644367
Sum532.492
Variance0.049006249
MonotonicityNot monotonic
2023-12-12T19:39:24.166115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 157
 
3.9%
0.203 12
 
0.3%
0.229 12
 
0.3%
0.321 11
 
0.3%
0.182 10
 
0.2%
0.372 10
 
0.2%
0.199 10
 
0.2%
0.22 9
 
0.2%
0.235 9
 
0.2%
0.242 9
 
0.2%
Other values (660) 1835
45.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.943 1
< 0.1%
-0.759 1
< 0.1%
-0.533 1
< 0.1%
-0.501 1
< 0.1%
-0.456 2
< 0.1%
-0.431 1
< 0.1%
-0.425 1
< 0.1%
-0.415 1
< 0.1%
-0.399 1
< 0.1%
-0.31 1
< 0.1%
ValueCountFrequency (%)
2.398 1
< 0.1%
2.351 1
< 0.1%
1.468 1
< 0.1%
1.45 1
< 0.1%
1.423 1
< 0.1%
1.418 1
< 0.1%
1.381 1
< 0.1%
1.273 1
< 0.1%
1.253 1
< 0.1%
1.242 1
< 0.1%

2017-04
Real number (ℝ)

MISSING  ZEROS 

Distinct698
Distinct (%)33.5%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.25011276
Minimum-1.383
Maximum3.697
Zeros155
Zeros (%)3.9%
Negative95
Negative (%)2.4%
Memory size35.4 KiB
2023-12-12T19:39:24.345124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.383
5-th percentile0
Q10.11575
median0.2395
Q30.35
95-th percentile0.617
Maximum3.697
Range5.08
Interquartile range (IQR)0.23425

Descriptive statistics

Standard deviation0.24749198
Coefficient of variation (CV)0.98952161
Kurtosis30.833782
Mean0.25011276
Median Absolute Deviation (MAD)0.1155
Skewness2.5722912
Sum521.235
Variance0.061252283
MonotonicityNot monotonic
2023-12-12T19:39:24.538506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 155
 
3.9%
0.237 11
 
0.3%
0.279 10
 
0.2%
0.256 10
 
0.2%
0.142 10
 
0.2%
0.326 9
 
0.2%
0.259 9
 
0.2%
0.242 9
 
0.2%
0.281 9
 
0.2%
0.163 9
 
0.2%
Other values (688) 1843
45.9%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.383 1
< 0.1%
-1.231 1
< 0.1%
-1.094 1
< 0.1%
-0.797 1
< 0.1%
-0.692 1
< 0.1%
-0.689 1
< 0.1%
-0.688 1
< 0.1%
-0.436 2
< 0.1%
-0.429 1
< 0.1%
-0.401 1
< 0.1%
ValueCountFrequency (%)
3.697 1
< 0.1%
2.841 1
< 0.1%
2.328 1
< 0.1%
1.738 1
< 0.1%
1.712 1
< 0.1%
1.692 1
< 0.1%
1.61 1
< 0.1%
1.526 1
< 0.1%
1.495 1
< 0.1%
1.42 1
< 0.1%

2017-05
Real number (ℝ)

MISSING  ZEROS 

Distinct708
Distinct (%)34.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.26646833
Minimum-1.106
Maximum1.904
Zeros136
Zeros (%)3.4%
Negative79
Negative (%)2.0%
Memory size35.4 KiB
2023-12-12T19:39:24.716086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.106
5-th percentile0
Q10.127
median0.25
Q30.37025
95-th percentile0.643
Maximum1.904
Range3.01
Interquartile range (IQR)0.24325

Descriptive statistics

Standard deviation0.24067041
Coefficient of variation (CV)0.90318578
Kurtosis8.0601789
Mean0.26646833
Median Absolute Deviation (MAD)0.122
Skewness1.2536589
Sum555.32
Variance0.057922244
MonotonicityNot monotonic
2023-12-12T19:39:24.892221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 136
 
3.4%
0.241 10
 
0.2%
0.193 10
 
0.2%
0.213 9
 
0.2%
0.203 9
 
0.2%
0.262 9
 
0.2%
0.225 9
 
0.2%
0.196 9
 
0.2%
0.3 9
 
0.2%
0.122 9
 
0.2%
Other values (698) 1865
46.4%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.106 1
< 0.1%
-1.063 1
< 0.1%
-0.776 1
< 0.1%
-0.725 1
< 0.1%
-0.698 1
< 0.1%
-0.547 1
< 0.1%
-0.536 1
< 0.1%
-0.526 1
< 0.1%
-0.522 1
< 0.1%
-0.425 1
< 0.1%
ValueCountFrequency (%)
1.904 1
< 0.1%
1.753 1
< 0.1%
1.7 1
< 0.1%
1.663 1
< 0.1%
1.642 1
< 0.1%
1.619 1
< 0.1%
1.604 1
< 0.1%
1.581 1
< 0.1%
1.559 1
< 0.1%
1.549 1
< 0.1%

2017-06
Real number (ℝ)

MISSING  ZEROS 

Distinct723
Distinct (%)34.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.28606814
Minimum-2.136
Maximum2.3
Zeros109
Zeros (%)2.7%
Negative68
Negative (%)1.7%
Memory size35.4 KiB
2023-12-12T19:39:25.106231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.136
5-th percentile0
Q10.157
median0.272
Q30.396
95-th percentile0.66555
Maximum2.3
Range4.436
Interquartile range (IQR)0.239

Descriptive statistics

Standard deviation0.24960586
Coefficient of variation (CV)0.8725399
Kurtosis16.550664
Mean0.28606814
Median Absolute Deviation (MAD)0.12
Skewness-0.29613332
Sum596.166
Variance0.062303087
MonotonicityNot monotonic
2023-12-12T19:39:25.293866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 109
 
2.7%
0.245 12
 
0.3%
0.283 11
 
0.3%
0.224 10
 
0.2%
0.272 10
 
0.2%
0.26 9
 
0.2%
0.239 9
 
0.2%
0.183 9
 
0.2%
0.314 9
 
0.2%
0.22 9
 
0.2%
Other values (713) 1887
47.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-2.136 1
< 0.1%
-2.091 1
< 0.1%
-1.464 1
< 0.1%
-1.345 1
< 0.1%
-1.227 1
< 0.1%
-0.995 1
< 0.1%
-0.991 1
< 0.1%
-0.948 1
< 0.1%
-0.555 1
< 0.1%
-0.525 2
< 0.1%
ValueCountFrequency (%)
2.3 1
< 0.1%
2.142 1
< 0.1%
1.833 1
< 0.1%
1.725 1
< 0.1%
1.41 1
< 0.1%
1.391 1
< 0.1%
1.352 1
< 0.1%
1.252 1
< 0.1%
1.242 1
< 0.1%
1.219 1
< 0.1%

2017-07
Real number (ℝ)

MISSING  ZEROS 

Distinct728
Distinct (%)34.9%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.28713484
Minimum-1.499
Maximum4.123
Zeros136
Zeros (%)3.4%
Negative65
Negative (%)1.6%
Memory size35.4 KiB
2023-12-12T19:39:25.497915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.499
5-th percentile0
Q10.1425
median0.27
Q30.39525
95-th percentile0.674
Maximum4.123
Range5.622
Interquartile range (IQR)0.25275

Descriptive statistics

Standard deviation0.25907225
Coefficient of variation (CV)0.90226686
Kurtosis35.626709
Mean0.28713484
Median Absolute Deviation (MAD)0.127
Skewness2.7623642
Sum598.389
Variance0.06711843
MonotonicityNot monotonic
2023-12-12T19:39:25.671263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 136
 
3.4%
0.194 12
 
0.3%
0.317 10
 
0.2%
0.252 9
 
0.2%
0.315 9
 
0.2%
0.154 9
 
0.2%
0.361 9
 
0.2%
0.077 8
 
0.2%
0.295 8
 
0.2%
0.272 8
 
0.2%
Other values (718) 1866
46.5%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.499 1
< 0.1%
-1.464 1
< 0.1%
-0.873 1
< 0.1%
-0.863 1
< 0.1%
-0.679 1
< 0.1%
-0.496 1
< 0.1%
-0.393 1
< 0.1%
-0.379 1
< 0.1%
-0.325 1
< 0.1%
-0.315 1
< 0.1%
ValueCountFrequency (%)
4.123 1
< 0.1%
3.082 1
< 0.1%
2.55 1
< 0.1%
1.876 1
< 0.1%
1.511 1
< 0.1%
1.457 2
< 0.1%
1.249 2
< 0.1%
1.248 1
< 0.1%
1.213 1
< 0.1%
1.169 1
< 0.1%

2017-08
Real number (ℝ)

MISSING  ZEROS 

Distinct688
Distinct (%)33.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.26325816
Minimum-0.99
Maximum2.006
Zeros166
Zeros (%)4.1%
Negative61
Negative (%)1.5%
Memory size35.4 KiB
2023-12-12T19:39:25.904631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99
5-th percentile0
Q10.126
median0.248
Q30.36725
95-th percentile0.6357
Maximum2.006
Range2.996
Interquartile range (IQR)0.24125

Descriptive statistics

Standard deviation0.23279578
Coefficient of variation (CV)0.88428704
Kurtosis7.7263895
Mean0.26325816
Median Absolute Deviation (MAD)0.1215
Skewness0.9520443
Sum548.63
Variance0.054193874
MonotonicityNot monotonic
2023-12-12T19:39:26.097044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 166
 
4.1%
0.234 11
 
0.3%
0.245 10
 
0.2%
0.118 10
 
0.2%
0.331 10
 
0.2%
0.279 10
 
0.2%
0.177 9
 
0.2%
0.266 9
 
0.2%
0.238 9
 
0.2%
0.243 9
 
0.2%
Other values (678) 1831
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.99 1
< 0.1%
-0.961 1
< 0.1%
-0.958 1
< 0.1%
-0.94 1
< 0.1%
-0.793 1
< 0.1%
-0.752 1
< 0.1%
-0.732 1
< 0.1%
-0.692 1
< 0.1%
-0.657 1
< 0.1%
-0.543 1
< 0.1%
ValueCountFrequency (%)
2.006 1
< 0.1%
1.779 1
< 0.1%
1.686 1
< 0.1%
1.68 1
< 0.1%
1.493 1
< 0.1%
1.476 1
< 0.1%
1.467 1
< 0.1%
1.422 1
< 0.1%
1.367 1
< 0.1%
1.332 1
< 0.1%

2017-09
Real number (ℝ)

MISSING  ZEROS 

Distinct680
Distinct (%)32.6%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.25616459
Minimum-1.024
Maximum1.902
Zeros167
Zeros (%)4.2%
Negative68
Negative (%)1.7%
Memory size35.4 KiB
2023-12-12T19:39:26.292398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.024
5-th percentile0
Q10.119
median0.2455
Q30.356
95-th percentile0.603
Maximum1.902
Range2.926
Interquartile range (IQR)0.237

Descriptive statistics

Standard deviation0.21960896
Coefficient of variation (CV)0.85729632
Kurtosis8.171442
Mean0.25616459
Median Absolute Deviation (MAD)0.1185
Skewness1.3552824
Sum533.847
Variance0.048228094
MonotonicityNot monotonic
2023-12-12T19:39:26.466975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 167
 
4.2%
0.23 11
 
0.3%
0.295 10
 
0.2%
0.371 9
 
0.2%
0.253 9
 
0.2%
0.234 9
 
0.2%
0.263 9
 
0.2%
0.161 9
 
0.2%
0.364 9
 
0.2%
0.343 9
 
0.2%
Other values (670) 1833
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.024 1
< 0.1%
-0.819 1
< 0.1%
-0.588 1
< 0.1%
-0.546 1
< 0.1%
-0.485 1
< 0.1%
-0.415 1
< 0.1%
-0.399 1
< 0.1%
-0.375 1
< 0.1%
-0.312 1
< 0.1%
-0.28 1
< 0.1%
ValueCountFrequency (%)
1.902 1
< 0.1%
1.867 1
< 0.1%
1.776 1
< 0.1%
1.763 1
< 0.1%
1.671 1
< 0.1%
1.602 1
< 0.1%
1.194 1
< 0.1%
1.159 1
< 0.1%
1.138 1
< 0.1%
1.076 1
< 0.1%

2017-10
Real number (ℝ)

MISSING  ZEROS 

Distinct636
Distinct (%)30.5%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.22673081
Minimum-0.469
Maximum3.267
Zeros188
Zeros (%)4.7%
Negative76
Negative (%)1.9%
Memory size35.4 KiB
2023-12-12T19:39:26.636906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.469
5-th percentile0
Q10.102
median0.209
Q30.317
95-th percentile0.555
Maximum3.267
Range3.736
Interquartile range (IQR)0.215

Descriptive statistics

Standard deviation0.21100065
Coefficient of variation (CV)0.9306219
Kurtosis24.454794
Mean0.22673081
Median Absolute Deviation (MAD)0.107
Skewness2.537039
Sum472.507
Variance0.044521276
MonotonicityNot monotonic
2023-12-12T19:39:26.821679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 188
 
4.7%
0.235 13
 
0.3%
0.269 10
 
0.2%
0.202 10
 
0.2%
0.196 10
 
0.2%
0.28 9
 
0.2%
0.178 9
 
0.2%
0.336 9
 
0.2%
0.219 9
 
0.2%
0.253 9
 
0.2%
Other values (626) 1808
45.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.469 1
< 0.1%
-0.41 1
< 0.1%
-0.375 1
< 0.1%
-0.371 1
< 0.1%
-0.367 1
< 0.1%
-0.354 1
< 0.1%
-0.327 1
< 0.1%
-0.324 1
< 0.1%
-0.314 1
< 0.1%
-0.308 1
< 0.1%
ValueCountFrequency (%)
3.267 1
< 0.1%
1.616 1
< 0.1%
1.39 1
< 0.1%
1.31 1
< 0.1%
1.307 1
< 0.1%
1.242 1
< 0.1%
1.241 1
< 0.1%
1.24 1
< 0.1%
1.207 1
< 0.1%
1.149 1
< 0.1%

2017-11
Real number (ℝ)

MISSING  ZEROS 

Distinct653
Distinct (%)31.3%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.24652735
Minimum-1.48
Maximum2.766
Zeros169
Zeros (%)4.2%
Negative69
Negative (%)1.7%
Memory size35.4 KiB
2023-12-12T19:39:27.050114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.48
5-th percentile0
Q10.12175
median0.237
Q30.34325
95-th percentile0.57485
Maximum2.766
Range4.246
Interquartile range (IQR)0.2215

Descriptive statistics

Standard deviation0.21651945
Coefficient of variation (CV)0.87827761
Kurtosis15.784074
Mean0.24652735
Median Absolute Deviation (MAD)0.111
Skewness1.481493
Sum513.763
Variance0.046880674
MonotonicityNot monotonic
2023-12-12T19:39:27.242602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 169
 
4.2%
0.272 12
 
0.3%
0.307 12
 
0.3%
0.226 10
 
0.2%
0.254 10
 
0.2%
0.23 10
 
0.2%
0.289 10
 
0.2%
0.285 10
 
0.2%
0.252 9
 
0.2%
0.321 9
 
0.2%
Other values (643) 1823
45.4%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.48 1
< 0.1%
-0.701 1
< 0.1%
-0.7 1
< 0.1%
-0.658 1
< 0.1%
-0.551 1
< 0.1%
-0.472 1
< 0.1%
-0.401 1
< 0.1%
-0.391 1
< 0.1%
-0.382 1
< 0.1%
-0.364 1
< 0.1%
ValueCountFrequency (%)
2.766 1
< 0.1%
2.026 1
< 0.1%
1.607 1
< 0.1%
1.537 1
< 0.1%
1.348 1
< 0.1%
1.311 1
< 0.1%
1.267 1
< 0.1%
1.218 1
< 0.1%
1.136 1
< 0.1%
1.108 1
< 0.1%

2017-12
Real number (ℝ)

MISSING  ZEROS 

Distinct653
Distinct (%)31.3%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.25009693
Minimum-0.692
Maximum6.242
Zeros158
Zeros (%)3.9%
Negative59
Negative (%)1.5%
Memory size35.4 KiB
2023-12-12T19:39:27.428807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.692
5-th percentile0
Q10.12775
median0.231
Q30.328
95-th percentile0.5867
Maximum6.242
Range6.934
Interquartile range (IQR)0.20025

Descriptive statistics

Standard deviation0.25106432
Coefficient of variation (CV)1.003868
Kurtosis161.15292
Mean0.25009693
Median Absolute Deviation (MAD)0.1
Skewness7.7762084
Sum521.202
Variance0.063033291
MonotonicityNot monotonic
2023-12-12T19:39:27.604344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 158
 
3.9%
0.224 15
 
0.4%
0.217 12
 
0.3%
0.249 11
 
0.3%
0.188 11
 
0.3%
0.248 10
 
0.2%
0.278 10
 
0.2%
0.196 10
 
0.2%
0.319 10
 
0.2%
0.288 9
 
0.2%
Other values (643) 1828
45.5%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.692 1
< 0.1%
-0.593 1
< 0.1%
-0.473 1
< 0.1%
-0.458 1
< 0.1%
-0.388 1
< 0.1%
-0.356 1
< 0.1%
-0.35 1
< 0.1%
-0.32 1
< 0.1%
-0.262 1
< 0.1%
-0.257 1
< 0.1%
ValueCountFrequency (%)
6.242 1
< 0.1%
2.239 1
< 0.1%
1.869 1
< 0.1%
1.845 1
< 0.1%
1.77 1
< 0.1%
1.634 1
< 0.1%
1.516 1
< 0.1%
1.497 1
< 0.1%
1.424 1
< 0.1%
1.416 1
< 0.1%

2018-01
Real number (ℝ)

MISSING  ZEROS 

Distinct636
Distinct (%)30.5%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.22811228
Minimum-3.208
Maximum1.541
Zeros162
Zeros (%)4.0%
Negative69
Negative (%)1.7%
Memory size35.4 KiB
2023-12-12T19:39:27.808535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.208
5-th percentile0
Q10.108
median0.2185
Q30.31725
95-th percentile0.55555
Maximum1.541
Range4.749
Interquartile range (IQR)0.20925

Descriptive statistics

Standard deviation0.2001892
Coefficient of variation (CV)0.87759063
Kurtosis43.619979
Mean0.22811228
Median Absolute Deviation (MAD)0.1055
Skewness-1.5832297
Sum475.386
Variance0.040075717
MonotonicityNot monotonic
2023-12-12T19:39:28.005565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 162
 
4.0%
0.259 11
 
0.3%
0.222 11
 
0.3%
0.223 10
 
0.2%
0.271 10
 
0.2%
0.208 10
 
0.2%
0.203 10
 
0.2%
0.201 10
 
0.2%
0.234 9
 
0.2%
0.224 9
 
0.2%
Other values (626) 1832
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-3.208 1
< 0.1%
-0.587 1
< 0.1%
-0.341 1
< 0.1%
-0.31 1
< 0.1%
-0.301 1
< 0.1%
-0.265 2
< 0.1%
-0.264 1
< 0.1%
-0.257 1
< 0.1%
-0.251 1
< 0.1%
-0.247 1
< 0.1%
ValueCountFrequency (%)
1.541 1
 
< 0.1%
1.267 1
 
< 0.1%
1.174 1
 
< 0.1%
1.067 1
 
< 0.1%
1.002 1
 
< 0.1%
0.978 1
 
< 0.1%
0.976 2
< 0.1%
0.971 1
 
< 0.1%
0.92 3
0.1%
0.889 1
 
< 0.1%

2018-02
Real number (ℝ)

MISSING  ZEROS 

Distinct612
Distinct (%)29.4%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.20986708
Minimum-1.039
Maximum3.845
Zeros192
Zeros (%)4.8%
Negative81
Negative (%)2.0%
Memory size35.4 KiB
2023-12-12T19:39:28.181247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.039
5-th percentile0
Q10.082
median0.191
Q30.29025
95-th percentile0.53555
Maximum3.845
Range4.884
Interquartile range (IQR)0.20825

Descriptive statistics

Standard deviation0.22550355
Coefficient of variation (CV)1.0745065
Kurtosis67.79612
Mean0.20986708
Median Absolute Deviation (MAD)0.104
Skewness4.7923401
Sum437.363
Variance0.050851851
MonotonicityNot monotonic
2023-12-12T19:39:28.369630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 192
 
4.8%
0.184 14
 
0.3%
0.152 12
 
0.3%
0.171 11
 
0.3%
0.266 11
 
0.3%
0.23 11
 
0.3%
0.26 10
 
0.2%
0.244 10
 
0.2%
0.196 10
 
0.2%
0.082 9
 
0.2%
Other values (602) 1794
44.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.039 1
< 0.1%
-0.68 1
< 0.1%
-0.64 1
< 0.1%
-0.597 1
< 0.1%
-0.519 1
< 0.1%
-0.513 1
< 0.1%
-0.434 1
< 0.1%
-0.414 1
< 0.1%
-0.346 1
< 0.1%
-0.273 1
< 0.1%
ValueCountFrequency (%)
3.845 2
< 0.1%
1.557 2
< 0.1%
1.515 1
< 0.1%
1.504 1
< 0.1%
1.284 1
< 0.1%
1.217 1
< 0.1%
1.158 1
< 0.1%
1.094 1
< 0.1%
1.075 1
< 0.1%
1.072 1
< 0.1%

2018-03
Real number (ℝ)

MISSING  ZEROS 

Distinct652
Distinct (%)31.3%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.26292514
Minimum-1.321
Maximum9.105
Zeros142
Zeros (%)3.5%
Negative60
Negative (%)1.5%
Memory size35.4 KiB
2023-12-12T19:39:28.596384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.321
5-th percentile0
Q10.141
median0.246
Q30.35
95-th percentile0.596
Maximum9.105
Range10.426
Interquartile range (IQR)0.209

Descriptive statistics

Standard deviation0.28705323
Coefficient of variation (CV)1.0917679
Kurtosis435.70849
Mean0.26292514
Median Absolute Deviation (MAD)0.104
Skewness14.720142
Sum547.936
Variance0.082399557
MonotonicityNot monotonic
2023-12-12T19:39:28.769518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 142
 
3.5%
0.226 12
 
0.3%
0.28 11
 
0.3%
0.322 11
 
0.3%
0.23 10
 
0.2%
0.3 10
 
0.2%
0.254 10
 
0.2%
0.206 10
 
0.2%
0.275 10
 
0.2%
0.232 10
 
0.2%
Other values (642) 1848
46.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.321 1
< 0.1%
-0.634 1
< 0.1%
-0.604 1
< 0.1%
-0.512 1
< 0.1%
-0.423 1
< 0.1%
-0.346 1
< 0.1%
-0.289 1
< 0.1%
-0.283 1
< 0.1%
-0.255 1
< 0.1%
-0.225 1
< 0.1%
ValueCountFrequency (%)
9.105 1
< 0.1%
2.574 1
< 0.1%
1.966 1
< 0.1%
1.696 1
< 0.1%
1.665 1
< 0.1%
1.661 1
< 0.1%
1.429 1
< 0.1%
1.427 1
< 0.1%
1.305 1
< 0.1%
1.281 1
< 0.1%

2018-04
Real number (ℝ)

MISSING  ZEROS 

Distinct657
Distinct (%)31.5%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.26365259
Minimum-0.607
Maximum5.817
Zeros157
Zeros (%)3.9%
Negative62
Negative (%)1.5%
Memory size35.4 KiB
2023-12-12T19:39:28.930353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.607
5-th percentile0
Q10.134
median0.243
Q30.34525
95-th percentile0.5977
Maximum5.817
Range6.424
Interquartile range (IQR)0.21125

Descriptive statistics

Standard deviation0.27221014
Coefficient of variation (CV)1.0324577
Kurtosis104.52435
Mean0.26365259
Median Absolute Deviation (MAD)0.107
Skewness6.7891344
Sum549.452
Variance0.07409836
MonotonicityNot monotonic
2023-12-12T19:39:29.457493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 157
 
3.9%
0.301 17
 
0.4%
0.277 14
 
0.3%
0.215 13
 
0.3%
0.295 11
 
0.3%
0.304 10
 
0.2%
0.254 10
 
0.2%
0.364 10
 
0.2%
0.315 10
 
0.2%
0.19 10
 
0.2%
Other values (647) 1822
45.4%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.607 1
< 0.1%
-0.539 1
< 0.1%
-0.401 1
< 0.1%
-0.392 1
< 0.1%
-0.369 1
< 0.1%
-0.285 1
< 0.1%
-0.275 1
< 0.1%
-0.271 1
< 0.1%
-0.25 1
< 0.1%
-0.241 1
< 0.1%
ValueCountFrequency (%)
5.817 1
< 0.1%
3.27 1
< 0.1%
3.105 1
< 0.1%
3.06 1
< 0.1%
2.09 1
< 0.1%
2.034 1
< 0.1%
1.956 1
< 0.1%
1.874 1
< 0.1%
1.671 1
< 0.1%
1.532 1
< 0.1%

2018-05
Real number (ℝ)

MISSING  ZEROS 

Distinct666
Distinct (%)32.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.27835029
Minimum-0.804
Maximum5.118
Zeros141
Zeros (%)3.5%
Negative52
Negative (%)1.3%
Memory size35.4 KiB
2023-12-12T19:39:29.632208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.804
5-th percentile0
Q10.145
median0.249
Q30.353
95-th percentile0.64585
Maximum5.118
Range5.922
Interquartile range (IQR)0.208

Descriptive statistics

Standard deviation0.28914343
Coefficient of variation (CV)1.0387754
Kurtosis64.918952
Mean0.27835029
Median Absolute Deviation (MAD)0.104
Skewness5.5604457
Sum580.082
Variance0.083603923
MonotonicityNot monotonic
2023-12-12T19:39:29.807296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 141
 
3.5%
0.2 11
 
0.3%
0.188 11
 
0.3%
0.167 10
 
0.2%
0.342 10
 
0.2%
0.322 10
 
0.2%
0.283 10
 
0.2%
0.323 10
 
0.2%
0.205 9
 
0.2%
0.276 9
 
0.2%
Other values (656) 1853
46.1%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.804 1
< 0.1%
-0.669 1
< 0.1%
-0.329 1
< 0.1%
-0.324 1
< 0.1%
-0.301 1
< 0.1%
-0.267 1
< 0.1%
-0.261 1
< 0.1%
-0.256 1
< 0.1%
-0.251 1
< 0.1%
-0.239 1
< 0.1%
ValueCountFrequency (%)
5.118 1
< 0.1%
4.073 1
< 0.1%
3.074 1
< 0.1%
2.986 1
< 0.1%
2.502 1
< 0.1%
1.991 1
< 0.1%
1.988 1
< 0.1%
1.942 1
< 0.1%
1.883 1
< 0.1%
1.762 1
< 0.1%

2018-06
Real number (ℝ)

MISSING  ZEROS 

Distinct690
Distinct (%)33.1%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.27395873
Minimum-3.506
Maximum7.056
Zeros135
Zeros (%)3.4%
Negative59
Negative (%)1.5%
Memory size35.4 KiB
2023-12-12T19:39:30.127233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.506
5-th percentile0
Q10.13575
median0.238
Q30.34925
95-th percentile0.67555
Maximum7.056
Range10.562
Interquartile range (IQR)0.2135

Descriptive statistics

Standard deviation0.3439075
Coefficient of variation (CV)1.2553259
Kurtosis112.91684
Mean0.27395873
Median Absolute Deviation (MAD)0.107
Skewness5.4700119
Sum570.93
Variance0.11827237
MonotonicityNot monotonic
2023-12-12T19:39:30.351592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 135
 
3.4%
0.307 14
 
0.3%
0.219 13
 
0.3%
0.226 12
 
0.3%
0.228 12
 
0.3%
0.237 11
 
0.3%
0.241 11
 
0.3%
0.138 10
 
0.2%
0.342 10
 
0.2%
0.231 10
 
0.2%
Other values (680) 1846
46.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-3.506 2
< 0.1%
-0.896 1
< 0.1%
-0.732 1
< 0.1%
-0.482 2
< 0.1%
-0.325 1
< 0.1%
-0.32 1
< 0.1%
-0.307 1
< 0.1%
-0.261 1
< 0.1%
-0.26 1
< 0.1%
-0.244 1
< 0.1%
ValueCountFrequency (%)
7.056 1
< 0.1%
4.696 1
< 0.1%
3.785 1
< 0.1%
3.626 1
< 0.1%
2.963 1
< 0.1%
2.514 1
< 0.1%
2.231 1
< 0.1%
2.23 1
< 0.1%
2.166 1
< 0.1%
2.001 1
< 0.1%

2018-07
Real number (ℝ)

MISSING  ZEROS 

Distinct687
Distinct (%)33.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.27740931
Minimum-1.198
Maximum5.049
Zeros129
Zeros (%)3.2%
Negative51
Negative (%)1.3%
Memory size35.4 KiB
2023-12-12T19:39:30.495141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.198
5-th percentile0
Q10.14
median0.245
Q30.362
95-th percentile0.64765
Maximum5.049
Range6.247
Interquartile range (IQR)0.222

Descriptive statistics

Standard deviation0.2759906
Coefficient of variation (CV)0.99488586
Kurtosis67.155198
Mean0.27740931
Median Absolute Deviation (MAD)0.112
Skewness5.3355387
Sum578.121
Variance0.076170811
MonotonicityNot monotonic
2023-12-12T19:39:30.648649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 129
 
3.2%
0.299 11
 
0.3%
0.221 11
 
0.3%
0.361 11
 
0.3%
0.232 11
 
0.3%
0.235 10
 
0.2%
0.256 9
 
0.2%
0.177 9
 
0.2%
0.271 9
 
0.2%
0.275 8
 
0.2%
Other values (677) 1866
46.5%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.198 1
< 0.1%
-0.506 1
< 0.1%
-0.485 1
< 0.1%
-0.473 1
< 0.1%
-0.336 1
< 0.1%
-0.263 1
< 0.1%
-0.258 1
< 0.1%
-0.252 1
< 0.1%
-0.239 2
< 0.1%
-0.236 1
< 0.1%
ValueCountFrequency (%)
5.049 1
< 0.1%
3.566 1
< 0.1%
3.55 1
< 0.1%
2.421 1
< 0.1%
2.07 1
< 0.1%
1.982 1
< 0.1%
1.849 1
< 0.1%
1.832 1
< 0.1%
1.707 1
< 0.1%
1.603 1
< 0.1%

2018-08
Real number (ℝ)

MISSING  ZEROS 

Distinct707
Distinct (%)33.9%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.26231718
Minimum-1.218
Maximum3.95
Zeros138
Zeros (%)3.4%
Negative80
Negative (%)2.0%
Memory size35.4 KiB
2023-12-12T19:39:30.843827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.218
5-th percentile0
Q10.129
median0.239
Q30.35425
95-th percentile0.6827
Maximum3.95
Range5.168
Interquartile range (IQR)0.22525

Descriptive statistics

Standard deviation0.2583802
Coefficient of variation (CV)0.98499154
Kurtosis30.351124
Mean0.26231718
Median Absolute Deviation (MAD)0.113
Skewness2.7154389
Sum546.669
Variance0.066760329
MonotonicityNot monotonic
2023-12-12T19:39:31.033056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 138
 
3.4%
0.249 13
 
0.3%
0.267 11
 
0.3%
0.223 10
 
0.2%
0.218 9
 
0.2%
0.215 9
 
0.2%
0.317 9
 
0.2%
0.205 9
 
0.2%
0.154 9
 
0.2%
0.28 9
 
0.2%
Other values (697) 1858
46.3%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.218 1
< 0.1%
-0.979 1
< 0.1%
-0.928 1
< 0.1%
-0.904 1
< 0.1%
-0.613 1
< 0.1%
-0.557 1
< 0.1%
-0.542 1
< 0.1%
-0.507 1
< 0.1%
-0.505 1
< 0.1%
-0.484 1
< 0.1%
ValueCountFrequency (%)
3.95 1
< 0.1%
2.666 1
< 0.1%
2.538 1
< 0.1%
2.277 1
< 0.1%
1.659 1
< 0.1%
1.629 1
< 0.1%
1.391 1
< 0.1%
1.319 1
< 0.1%
1.316 1
< 0.1%
1.314 2
< 0.1%

2018-09
Real number (ℝ)

MISSING  ZEROS 

Distinct690
Distinct (%)33.1%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.23687476
Minimum-1.714
Maximum1.724
Zeros165
Zeros (%)4.1%
Negative80
Negative (%)2.0%
Memory size35.4 KiB
2023-12-12T19:39:31.210633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.714
5-th percentile0
Q10.106
median0.218
Q30.333
95-th percentile0.63
Maximum1.724
Range3.438
Interquartile range (IQR)0.227

Descriptive statistics

Standard deviation0.22059767
Coefficient of variation (CV)0.93128398
Kurtosis7.3812826
Mean0.23687476
Median Absolute Deviation (MAD)0.114
Skewness0.66345002
Sum493.647
Variance0.048663332
MonotonicityNot monotonic
2023-12-12T19:39:31.417573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 165
 
4.1%
0.231 12
 
0.3%
0.146 10
 
0.2%
0.235 10
 
0.2%
0.218 10
 
0.2%
0.229 9
 
0.2%
0.118 9
 
0.2%
0.256 9
 
0.2%
0.18 9
 
0.2%
0.115 9
 
0.2%
Other values (680) 1832
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.714 1
< 0.1%
-0.845 1
< 0.1%
-0.582 1
< 0.1%
-0.544 1
< 0.1%
-0.53 1
< 0.1%
-0.492 1
< 0.1%
-0.491 1
< 0.1%
-0.459 1
< 0.1%
-0.455 1
< 0.1%
-0.448 1
< 0.1%
ValueCountFrequency (%)
1.724 1
< 0.1%
1.721 1
< 0.1%
1.468 1
< 0.1%
1.412 1
< 0.1%
1.335 1
< 0.1%
1.3 1
< 0.1%
1.24 1
< 0.1%
1.182 1
< 0.1%
1.109 1
< 0.1%
1.107 1
< 0.1%

2018-10
Real number (ℝ)

MISSING  ZEROS 

Distinct742
Distinct (%)35.6%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.28030278
Minimum-1.375
Maximum2.983
Zeros134
Zeros (%)3.3%
Negative74
Negative (%)1.8%
Memory size35.4 KiB
2023-12-12T19:39:31.594230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.375
5-th percentile0
Q10.134
median0.25
Q30.381
95-th percentile0.71455
Maximum2.983
Range4.358
Interquartile range (IQR)0.247

Descriptive statistics

Standard deviation0.26530037
Coefficient of variation (CV)0.94647782
Kurtosis13.082309
Mean0.28030278
Median Absolute Deviation (MAD)0.123
Skewness1.687627
Sum584.151
Variance0.070384285
MonotonicityNot monotonic
2023-12-12T19:39:31.777457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 134
 
3.3%
0.217 10
 
0.2%
0.191 10
 
0.2%
0.214 9
 
0.2%
0.196 9
 
0.2%
0.136 9
 
0.2%
0.235 9
 
0.2%
0.304 9
 
0.2%
0.242 9
 
0.2%
0.307 8
 
0.2%
Other values (732) 1868
46.5%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.375 1
< 0.1%
-1.055 1
< 0.1%
-0.891 1
< 0.1%
-0.796 1
< 0.1%
-0.762 1
< 0.1%
-0.758 1
< 0.1%
-0.738 1
< 0.1%
-0.624 1
< 0.1%
-0.602 1
< 0.1%
-0.533 1
< 0.1%
ValueCountFrequency (%)
2.983 1
< 0.1%
2.423 1
< 0.1%
2.264 1
< 0.1%
1.844 1
< 0.1%
1.746 1
< 0.1%
1.608 1
< 0.1%
1.563 1
< 0.1%
1.55 1
< 0.1%
1.537 1
< 0.1%
1.52 1
< 0.1%

2018-11
Real number (ℝ)

MISSING  ZEROS 

Distinct724
Distinct (%)34.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.25011468
Minimum-1.822
Maximum1.963
Zeros153
Zeros (%)3.8%
Negative97
Negative (%)2.4%
Memory size35.4 KiB
2023-12-12T19:39:31.982457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.822
5-th percentile0
Q10.113
median0.24
Q30.36125
95-th percentile0.6387
Maximum1.963
Range3.785
Interquartile range (IQR)0.24825

Descriptive statistics

Standard deviation0.23615162
Coefficient of variation (CV)0.94417334
Kurtosis7.1816258
Mean0.25011468
Median Absolute Deviation (MAD)0.124
Skewness-0.09621017
Sum521.239
Variance0.055767586
MonotonicityNot monotonic
2023-12-12T19:39:32.198870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 153
 
3.8%
0.254 11
 
0.3%
0.195 10
 
0.2%
0.351 10
 
0.2%
0.364 9
 
0.2%
0.322 9
 
0.2%
0.251 9
 
0.2%
0.248 9
 
0.2%
0.233 9
 
0.2%
0.14 9
 
0.2%
Other values (714) 1846
46.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.822 1
< 0.1%
-0.958 1
< 0.1%
-0.912 1
< 0.1%
-0.908 1
< 0.1%
-0.856 1
< 0.1%
-0.852 1
< 0.1%
-0.81 1
< 0.1%
-0.761 1
< 0.1%
-0.734 1
< 0.1%
-0.731 1
< 0.1%
ValueCountFrequency (%)
1.963 1
< 0.1%
1.363 1
< 0.1%
1.304 1
< 0.1%
1.224 1
< 0.1%
1.189 1
< 0.1%
1.127 1
< 0.1%
1.121 1
< 0.1%
1.095 1
< 0.1%
1.086 1
< 0.1%
1.067 1
< 0.1%

2018-12
Real number (ℝ)

MISSING  ZEROS 

Distinct685
Distinct (%)32.9%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.23234837
Minimum-1.202
Maximum2.539
Zeros164
Zeros (%)4.1%
Negative94
Negative (%)2.3%
Memory size35.4 KiB
2023-12-12T19:39:32.424640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.202
5-th percentile0
Q10.107
median0.2215
Q30.335
95-th percentile0.5877
Maximum2.539
Range3.741
Interquartile range (IQR)0.228

Descriptive statistics

Standard deviation0.21245576
Coefficient of variation (CV)0.91438455
Kurtosis10.648945
Mean0.23234837
Median Absolute Deviation (MAD)0.1135
Skewness0.90280043
Sum484.214
Variance0.045137449
MonotonicityNot monotonic
2023-12-12T19:39:32.625580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 164
 
4.1%
0.226 14
 
0.3%
0.219 13
 
0.3%
0.244 10
 
0.2%
0.285 10
 
0.2%
0.208 9
 
0.2%
0.188 9
 
0.2%
0.275 9
 
0.2%
0.305 8
 
0.2%
0.189 8
 
0.2%
Other values (675) 1830
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.202 1
< 0.1%
-0.952 1
< 0.1%
-0.743 1
< 0.1%
-0.722 1
< 0.1%
-0.669 1
< 0.1%
-0.56 1
< 0.1%
-0.529 1
< 0.1%
-0.499 1
< 0.1%
-0.482 1
< 0.1%
-0.434 1
< 0.1%
ValueCountFrequency (%)
2.539 1
< 0.1%
1.708 1
< 0.1%
1.241 1
< 0.1%
1.199 1
< 0.1%
1.152 1
< 0.1%
1.07 1
< 0.1%
1.066 1
< 0.1%
1.003 1
< 0.1%
1.002 1
< 0.1%
0.982 1
< 0.1%

2019-01
Real number (ℝ)

MISSING  ZEROS 

Distinct623
Distinct (%)29.9%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.220238
Minimum-0.948
Maximum1.543
Zeros152
Zeros (%)3.8%
Negative78
Negative (%)1.9%
Memory size35.4 KiB
2023-12-12T19:39:32.817810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.948
5-th percentile0
Q10.109
median0.21
Q30.312
95-th percentile0.5207
Maximum1.543
Range2.491
Interquartile range (IQR)0.203

Descriptive statistics

Standard deviation0.18140049
Coefficient of variation (CV)0.82365664
Kurtosis4.8693501
Mean0.220238
Median Absolute Deviation (MAD)0.101
Skewness0.62104679
Sum458.976
Variance0.032906139
MonotonicityNot monotonic
2023-12-12T19:39:33.029135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 152
 
3.8%
0.198 15
 
0.4%
0.206 12
 
0.3%
0.138 12
 
0.3%
0.231 11
 
0.3%
0.203 10
 
0.2%
0.304 10
 
0.2%
0.191 10
 
0.2%
0.224 10
 
0.2%
0.249 9
 
0.2%
Other values (613) 1833
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.948 1
< 0.1%
-0.667 1
< 0.1%
-0.563 1
< 0.1%
-0.52 1
< 0.1%
-0.514 1
< 0.1%
-0.51 1
< 0.1%
-0.486 1
< 0.1%
-0.354 1
< 0.1%
-0.32 1
< 0.1%
-0.293 1
< 0.1%
ValueCountFrequency (%)
1.543 1
< 0.1%
1.23 1
< 0.1%
1.178 1
< 0.1%
1.111 1
< 0.1%
1.022 1
< 0.1%
1.008 1
< 0.1%
1.001 1
< 0.1%
0.986 1
< 0.1%
0.944 1
< 0.1%
0.928 1
< 0.1%

2019-02
Real number (ℝ)

MISSING  ZEROS 

Distinct583
Distinct (%)28.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.19901967
Minimum-0.679
Maximum2.569
Zeros184
Zeros (%)4.6%
Negative79
Negative (%)2.0%
Memory size35.4 KiB
2023-12-12T19:39:33.243771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.679
5-th percentile0
Q10.087
median0.186
Q30.27825
95-th percentile0.487
Maximum2.569
Range3.248
Interquartile range (IQR)0.19125

Descriptive statistics

Standard deviation0.18896107
Coefficient of variation (CV)0.94945923
Kurtosis21.826683
Mean0.19901967
Median Absolute Deviation (MAD)0.095
Skewness2.4981353
Sum414.757
Variance0.035706284
MonotonicityNot monotonic
2023-12-12T19:39:33.441969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 184
 
4.6%
0.199 13
 
0.3%
0.143 12
 
0.3%
0.233 12
 
0.3%
0.166 11
 
0.3%
0.209 11
 
0.3%
0.146 10
 
0.2%
0.21 10
 
0.2%
0.208 10
 
0.2%
0.159 10
 
0.2%
Other values (573) 1801
44.8%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.679 1
< 0.1%
-0.513 1
< 0.1%
-0.41 1
< 0.1%
-0.406 1
< 0.1%
-0.386 1
< 0.1%
-0.377 1
< 0.1%
-0.347 1
< 0.1%
-0.317 1
< 0.1%
-0.311 1
< 0.1%
-0.31 1
< 0.1%
ValueCountFrequency (%)
2.569 1
< 0.1%
1.922 2
< 0.1%
1.479 1
< 0.1%
1.338 1
< 0.1%
1.273 1
< 0.1%
1.232 1
< 0.1%
1.11 2
< 0.1%
0.971 2
< 0.1%
0.967 1
< 0.1%
0.923 1
< 0.1%

2019-03
Real number (ℝ)

MISSING  ZEROS 

Distinct600
Distinct (%)28.8%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.22605518
Minimum-0.938
Maximum3.239
Zeros156
Zeros (%)3.9%
Negative68
Negative (%)1.7%
Memory size35.4 KiB
2023-12-12T19:39:33.657707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.938
5-th percentile0
Q10.11175
median0.215
Q30.313
95-th percentile0.495
Maximum3.239
Range4.177
Interquartile range (IQR)0.20125

Descriptive statistics

Standard deviation0.2116675
Coefficient of variation (CV)0.93635323
Kurtosis50.616734
Mean0.22605518
Median Absolute Deviation (MAD)0.101
Skewness4.2943002
Sum471.099
Variance0.04480313
MonotonicityNot monotonic
2023-12-12T19:39:33.860513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 156
 
3.9%
0.191 12
 
0.3%
0.229 12
 
0.3%
0.274 11
 
0.3%
0.231 11
 
0.3%
0.141 10
 
0.2%
0.23 10
 
0.2%
0.194 10
 
0.2%
0.188 10
 
0.2%
0.16 10
 
0.2%
Other values (590) 1832
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.938 1
< 0.1%
-0.603 1
< 0.1%
-0.397 1
< 0.1%
-0.293 1
< 0.1%
-0.272 1
< 0.1%
-0.241 1
< 0.1%
-0.203 1
< 0.1%
-0.197 1
< 0.1%
-0.178 2
< 0.1%
-0.177 1
< 0.1%
ValueCountFrequency (%)
3.239 2
< 0.1%
2.333 2
< 0.1%
1.588 1
< 0.1%
1.382 1
< 0.1%
1.25 2
< 0.1%
1.244 1
< 0.1%
1.107 1
< 0.1%
1.1 1
< 0.1%
1.066 1
< 0.1%
1.032 1
< 0.1%

2019-04
Real number (ℝ)

MISSING  ZEROS 

Distinct621
Distinct (%)29.8%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.22779655
Minimum-0.659
Maximum1.857
Zeros149
Zeros (%)3.7%
Negative76
Negative (%)1.9%
Memory size35.4 KiB
2023-12-12T19:39:34.055037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.659
5-th percentile0
Q10.112
median0.223
Q30.319
95-th percentile0.52785
Maximum1.857
Range2.516
Interquartile range (IQR)0.207

Descriptive statistics

Standard deviation0.18598413
Coefficient of variation (CV)0.81644844
Kurtosis8.1751942
Mean0.22779655
Median Absolute Deviation (MAD)0.102
Skewness1.1491122
Sum474.728
Variance0.034590098
MonotonicityNot monotonic
2023-12-12T19:39:34.247010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 149
 
3.7%
0.28 13
 
0.3%
0.187 11
 
0.3%
0.29 11
 
0.3%
0.161 11
 
0.3%
0.177 10
 
0.2%
0.252 10
 
0.2%
0.131 10
 
0.2%
0.223 10
 
0.2%
0.219 10
 
0.2%
Other values (611) 1839
45.8%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.659 1
< 0.1%
-0.644 1
< 0.1%
-0.607 1
< 0.1%
-0.502 1
< 0.1%
-0.473 1
< 0.1%
-0.456 1
< 0.1%
-0.35 1
< 0.1%
-0.312 2
< 0.1%
-0.304 1
< 0.1%
-0.234 1
< 0.1%
ValueCountFrequency (%)
1.857 2
< 0.1%
1.295 1
< 0.1%
1.255 1
< 0.1%
1.204 1
< 0.1%
1.098 1
< 0.1%
0.977 1
< 0.1%
0.957 1
< 0.1%
0.928 1
< 0.1%
0.926 2
< 0.1%
0.886 1
< 0.1%

2019-05
Real number (ℝ)

MISSING  ZEROS 

Distinct640
Distinct (%)30.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.22261852
Minimum-1.42
Maximum1.428
Zeros133
Zeros (%)3.3%
Negative104
Negative (%)2.6%
Memory size35.4 KiB
2023-12-12T19:39:34.440201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.42
5-th percentile0
Q10.11875
median0.219
Q30.31525
95-th percentile0.52385
Maximum1.428
Range2.848
Interquartile range (IQR)0.1965

Descriptive statistics

Standard deviation0.19047354
Coefficient of variation (CV)0.85560508
Kurtosis7.0186317
Mean0.22261852
Median Absolute Deviation (MAD)0.098
Skewness0.10170365
Sum463.937
Variance0.036280169
MonotonicityNot monotonic
2023-12-12T19:39:35.017718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
 
3.3%
0.259 12
 
0.3%
0.216 12
 
0.3%
0.279 11
 
0.3%
0.205 11
 
0.3%
0.171 11
 
0.3%
0.186 11
 
0.3%
0.199 10
 
0.2%
0.231 10
 
0.2%
0.172 10
 
0.2%
Other values (630) 1853
46.1%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-1.42 1
 
< 0.1%
-0.99 1
 
< 0.1%
-0.836 1
 
< 0.1%
-0.748 1
 
< 0.1%
-0.722 1
 
< 0.1%
-0.538 1
 
< 0.1%
-0.363 1
 
< 0.1%
-0.29 1
 
< 0.1%
-0.283 4
0.1%
-0.281 1
 
< 0.1%
ValueCountFrequency (%)
1.428 1
< 0.1%
1.383 1
< 0.1%
1.261 1
< 0.1%
1.16 1
< 0.1%
1.11 1
< 0.1%
1.023 1
< 0.1%
0.965 1
< 0.1%
0.938 1
< 0.1%
0.905 1
< 0.1%
0.887 1
< 0.1%

2019-06
Real number (ℝ)

MISSING  ZEROS 

Distinct600
Distinct (%)28.8%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.2083714
Minimum-0.503
Maximum2.896
Zeros146
Zeros (%)3.6%
Negative100
Negative (%)2.5%
Memory size35.4 KiB
2023-12-12T19:39:35.236451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.503
5-th percentile0
Q10.097
median0.195
Q30.291
95-th percentile0.49885
Maximum2.896
Range3.399
Interquartile range (IQR)0.194

Descriptive statistics

Standard deviation0.1944643
Coefficient of variation (CV)0.9332581
Kurtosis23.594662
Mean0.2083714
Median Absolute Deviation (MAD)0.097
Skewness2.4183413
Sum434.246
Variance0.037816363
MonotonicityNot monotonic
2023-12-12T19:39:35.463970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 146
 
3.6%
0.169 15
 
0.4%
0.206 11
 
0.3%
0.152 11
 
0.3%
0.194 11
 
0.3%
0.22 11
 
0.3%
0.146 11
 
0.3%
0.161 11
 
0.3%
0.238 11
 
0.3%
0.154 11
 
0.3%
Other values (590) 1835
45.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.503 1
 
< 0.1%
-0.471 1
 
< 0.1%
-0.452 1
 
< 0.1%
-0.426 1
 
< 0.1%
-0.423 1
 
< 0.1%
-0.413 1
 
< 0.1%
-0.351 3
0.1%
-0.313 1
 
< 0.1%
-0.299 1
 
< 0.1%
-0.281 1
 
< 0.1%
ValueCountFrequency (%)
2.896 1
< 0.1%
1.682 2
< 0.1%
1.634 1
< 0.1%
1.179 2
< 0.1%
1.152 1
< 0.1%
1.134 1
< 0.1%
1.093 1
< 0.1%
1.042 2
< 0.1%
0.972 1
< 0.1%
0.948 1
< 0.1%

2019-07
Real number (ℝ)

MISSING  ZEROS 

Distinct626
Distinct (%)30.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.20533253
Minimum-0.709
Maximum3.115
Zeros143
Zeros (%)3.6%
Negative124
Negative (%)3.1%
Memory size35.4 KiB
2023-12-12T19:39:35.643783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.709
5-th percentile-0.01785
Q10.08075
median0.1995
Q30.3
95-th percentile0.488
Maximum3.115
Range3.824
Interquartile range (IQR)0.21925

Descriptive statistics

Standard deviation0.19428731
Coefficient of variation (CV)0.9462081
Kurtosis34.899717
Mean0.20533253
Median Absolute Deviation (MAD)0.1115
Skewness2.8709326
Sum427.913
Variance0.037747558
MonotonicityNot monotonic
2023-12-12T19:39:35.846355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 143
 
3.6%
0.251 11
 
0.3%
0.242 11
 
0.3%
0.199 10
 
0.2%
0.219 10
 
0.2%
0.226 10
 
0.2%
0.238 9
 
0.2%
0.097 9
 
0.2%
0.21 9
 
0.2%
0.197 9
 
0.2%
Other values (616) 1853
46.1%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.709 1
< 0.1%
-0.539 1
< 0.1%
-0.395 1
< 0.1%
-0.28 1
< 0.1%
-0.262 1
< 0.1%
-0.252 1
< 0.1%
-0.251 1
< 0.1%
-0.25 1
< 0.1%
-0.246 1
< 0.1%
-0.243 1
< 0.1%
ValueCountFrequency (%)
3.115 1
< 0.1%
2.49 1
< 0.1%
1.552 1
< 0.1%
1.233 1
< 0.1%
1.107 1
< 0.1%
1.014 2
< 0.1%
0.985 1
< 0.1%
0.982 1
< 0.1%
0.907 1
< 0.1%
0.817 1
< 0.1%

2019-08
Real number (ℝ)

MISSING  ZEROS 

Distinct639
Distinct (%)30.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.18222409
Minimum-0.94
Maximum1.815
Zeros143
Zeros (%)3.6%
Negative168
Negative (%)4.2%
Memory size35.4 KiB
2023-12-12T19:39:36.055014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.94
5-th percentile-0.068
Q10.064
median0.174
Q30.278
95-th percentile0.48285
Maximum1.815
Range2.755
Interquartile range (IQR)0.214

Descriptive statistics

Standard deviation0.19007159
Coefficient of variation (CV)1.0430651
Kurtosis5.6449014
Mean0.18222409
Median Absolute Deviation (MAD)0.108
Skewness0.83238664
Sum379.755
Variance0.036127208
MonotonicityNot monotonic
2023-12-12T19:39:36.254167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 143
 
3.6%
0.177 12
 
0.3%
0.138 10
 
0.2%
0.197 10
 
0.2%
0.18 10
 
0.2%
0.181 10
 
0.2%
0.075 10
 
0.2%
0.263 9
 
0.2%
0.193 9
 
0.2%
0.13 9
 
0.2%
Other values (629) 1852
46.1%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.94 1
< 0.1%
-0.45 1
< 0.1%
-0.41 1
< 0.1%
-0.386 1
< 0.1%
-0.377 1
< 0.1%
-0.376 1
< 0.1%
-0.361 1
< 0.1%
-0.353 1
< 0.1%
-0.344 1
< 0.1%
-0.339 1
< 0.1%
ValueCountFrequency (%)
1.815 1
< 0.1%
1.147 1
< 0.1%
1.14 1
< 0.1%
1.112 1
< 0.1%
1.108 1
< 0.1%
1.079 1
< 0.1%
1.071 1
< 0.1%
1.065 1
< 0.1%
1.026 1
< 0.1%
1.017 2
< 0.1%

2019-09
Real number (ℝ)

MISSING  ZEROS 

Distinct645
Distinct (%)31.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.1674237
Minimum-0.671
Maximum1.623
Zeros187
Zeros (%)4.7%
Negative165
Negative (%)4.1%
Memory size35.4 KiB
2023-12-12T19:39:36.449067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.671
5-th percentile-0.0577
Q10.046
median0.161
Q30.26125
95-th percentile0.47885
Maximum1.623
Range2.294
Interquartile range (IQR)0.21525

Descriptive statistics

Standard deviation0.18902114
Coefficient of variation (CV)1.1289987
Kurtosis4.6336136
Mean0.1674237
Median Absolute Deviation (MAD)0.109
Skewness0.52148414
Sum348.911
Variance0.035728993
MonotonicityNot monotonic
2023-12-12T19:39:36.632500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 187
 
4.7%
0.224 11
 
0.3%
0.193 10
 
0.2%
0.201 10
 
0.2%
0.055 10
 
0.2%
0.171 10
 
0.2%
0.168 9
 
0.2%
0.023 9
 
0.2%
0.151 9
 
0.2%
0.166 9
 
0.2%
Other values (635) 1810
45.1%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.671 1
< 0.1%
-0.604 2
< 0.1%
-0.591 1
< 0.1%
-0.572 1
< 0.1%
-0.504 2
< 0.1%
-0.488 2
< 0.1%
-0.466 1
< 0.1%
-0.457 1
< 0.1%
-0.449 1
< 0.1%
-0.435 2
< 0.1%
ValueCountFrequency (%)
1.623 1
< 0.1%
1.423 1
< 0.1%
1.151 1
< 0.1%
1.147 1
< 0.1%
0.959 1
< 0.1%
0.942 1
< 0.1%
0.84 1
< 0.1%
0.83 1
< 0.1%
0.827 1
< 0.1%
0.817 1
< 0.1%

2019-10
Real number (ℝ)

MISSING  ZEROS 

Distinct670
Distinct (%)32.1%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.1814237
Minimum-0.782
Maximum1.959
Zeros164
Zeros (%)4.1%
Negative167
Negative (%)4.2%
Memory size35.4 KiB
2023-12-12T19:39:36.810203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.782
5-th percentile-0.0724
Q10.061
median0.171
Q30.28625
95-th percentile0.4997
Maximum1.959
Range2.741
Interquartile range (IQR)0.22525

Descriptive statistics

Standard deviation0.20195451
Coefficient of variation (CV)1.113165
Kurtosis7.6453543
Mean0.1814237
Median Absolute Deviation (MAD)0.1135
Skewness0.85848124
Sum378.087
Variance0.040785625
MonotonicityNot monotonic
2023-12-12T19:39:36.980685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 164
 
4.1%
0.197 11
 
0.3%
0.206 10
 
0.2%
0.235 10
 
0.2%
0.119 10
 
0.2%
0.131 10
 
0.2%
0.167 10
 
0.2%
0.103 9
 
0.2%
0.121 9
 
0.2%
0.117 9
 
0.2%
Other values (660) 1832
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.782 1
< 0.1%
-0.637 1
< 0.1%
-0.542 1
< 0.1%
-0.517 1
< 0.1%
-0.484 1
< 0.1%
-0.462 1
< 0.1%
-0.459 2
< 0.1%
-0.455 1
< 0.1%
-0.453 2
< 0.1%
-0.444 2
< 0.1%
ValueCountFrequency (%)
1.959 1
< 0.1%
1.89 1
< 0.1%
1.464 1
< 0.1%
1.186 1
< 0.1%
1.088 1
< 0.1%
0.993 1
< 0.1%
0.928 1
< 0.1%
0.892 1
< 0.1%
0.891 1
< 0.1%
0.884 1
< 0.1%

2019-11
Real number (ℝ)

MISSING  ZEROS 

Distinct657
Distinct (%)31.5%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.18303167
Minimum-0.676
Maximum2.221
Zeros174
Zeros (%)4.3%
Negative152
Negative (%)3.8%
Memory size35.4 KiB
2023-12-12T19:39:37.152175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.676
5-th percentile-0.0497
Q10.06
median0.168
Q30.282
95-th percentile0.5191
Maximum2.221
Range2.897
Interquartile range (IQR)0.222

Descriptive statistics

Standard deviation0.21161801
Coefficient of variation (CV)1.1561825
Kurtosis9.5476912
Mean0.18303167
Median Absolute Deviation (MAD)0.111
Skewness1.0888425
Sum381.438
Variance0.044782182
MonotonicityNot monotonic
2023-12-12T19:39:37.324451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 174
 
4.3%
0.26 11
 
0.3%
0.163 10
 
0.2%
0.128 10
 
0.2%
0.252 10
 
0.2%
0.069 10
 
0.2%
0.105 10
 
0.2%
0.201 10
 
0.2%
0.11 9
 
0.2%
0.185 9
 
0.2%
Other values (647) 1821
45.3%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.676 1
< 0.1%
-0.629 1
< 0.1%
-0.571 1
< 0.1%
-0.526 1
< 0.1%
-0.502 1
< 0.1%
-0.501 2
< 0.1%
-0.494 2
< 0.1%
-0.492 1
< 0.1%
-0.487 2
< 0.1%
-0.486 1
< 0.1%
ValueCountFrequency (%)
2.221 1
< 0.1%
1.72 1
< 0.1%
1.7 1
< 0.1%
1.461 1
< 0.1%
1.37 1
< 0.1%
1.21 1
< 0.1%
1.158 1
< 0.1%
1.144 1
< 0.1%
1.061 1
< 0.1%
0.946 1
< 0.1%

2019-12
Real number (ℝ)

MISSING  ZEROS 

Distinct645
Distinct (%)31.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.18585653
Minimum-0.801
Maximum2.826
Zeros157
Zeros (%)3.9%
Negative140
Negative (%)3.5%
Memory size35.4 KiB
2023-12-12T19:39:37.488401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.801
5-th percentile-0.0464
Q10.062
median0.169
Q30.285
95-th percentile0.502
Maximum2.826
Range3.627
Interquartile range (IQR)0.223

Descriptive statistics

Standard deviation0.2074308
Coefficient of variation (CV)1.1160803
Kurtosis16.224644
Mean0.18585653
Median Absolute Deviation (MAD)0.1105
Skewness1.5183458
Sum387.325
Variance0.043027536
MonotonicityNot monotonic
2023-12-12T19:39:37.675135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 157
 
3.9%
0.215 14
 
0.3%
0.173 11
 
0.3%
0.122 11
 
0.3%
0.116 10
 
0.2%
0.186 10
 
0.2%
0.237 9
 
0.2%
0.114 9
 
0.2%
0.112 9
 
0.2%
0.125 9
 
0.2%
Other values (635) 1835
45.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.801 3
0.1%
-0.6 1
 
< 0.1%
-0.469 1
 
< 0.1%
-0.456 1
 
< 0.1%
-0.452 1
 
< 0.1%
-0.428 2
< 0.1%
-0.417 1
 
< 0.1%
-0.414 1
 
< 0.1%
-0.398 2
< 0.1%
-0.397 1
 
< 0.1%
ValueCountFrequency (%)
2.826 1
< 0.1%
1.446 1
< 0.1%
1.32 1
< 0.1%
1.317 1
< 0.1%
1.257 1
< 0.1%
1.146 1
< 0.1%
1.126 1
< 0.1%
1.09 1
< 0.1%
1.063 1
< 0.1%
1.041 1
< 0.1%

2020-01
Real number (ℝ)

MISSING  ZEROS 

Distinct610
Distinct (%)29.3%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.18045489
Minimum-0.464
Maximum1.448
Zeros154
Zeros (%)3.8%
Negative108
Negative (%)2.7%
Memory size35.4 KiB
2023-12-12T19:39:37.875955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.464
5-th percentile-0.00485
Q10.072
median0.162
Q30.273
95-th percentile0.46985
Maximum1.448
Range1.912
Interquartile range (IQR)0.201

Descriptive statistics

Standard deviation0.17564833
Coefficient of variation (CV)0.97336417
Kurtosis4.8737857
Mean0.18045489
Median Absolute Deviation (MAD)0.1
Skewness0.92282275
Sum376.068
Variance0.030852335
MonotonicityNot monotonic
2023-12-12T19:39:38.095292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 154
 
3.8%
0.125 13
 
0.3%
0.099 12
 
0.3%
0.128 11
 
0.3%
0.184 11
 
0.3%
0.129 10
 
0.2%
0.136 10
 
0.2%
0.164 10
 
0.2%
0.097 10
 
0.2%
0.137 9
 
0.2%
Other values (600) 1834
45.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.464 1
 
< 0.1%
-0.412 3
0.1%
-0.397 1
 
< 0.1%
-0.384 2
< 0.1%
-0.344 2
< 0.1%
-0.342 1
 
< 0.1%
-0.336 1
 
< 0.1%
-0.315 1
 
< 0.1%
-0.311 1
 
< 0.1%
-0.304 1
 
< 0.1%
ValueCountFrequency (%)
1.448 1
< 0.1%
1.388 1
< 0.1%
1.196 1
< 0.1%
1.161 1
< 0.1%
1.159 1
< 0.1%
1.038 1
< 0.1%
0.971 1
< 0.1%
0.855 1
< 0.1%
0.846 1
< 0.1%
0.831 1
< 0.1%

2020-02
Real number (ℝ)

MISSING  ZEROS 

Distinct614
Distinct (%)29.5%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.18067322
Minimum-0.583
Maximum1.875
Zeros158
Zeros (%)3.9%
Negative118
Negative (%)2.9%
Memory size35.4 KiB
2023-12-12T19:39:38.398783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.583
5-th percentile-0.0147
Q10.068
median0.1645
Q30.272
95-th percentile0.46985
Maximum1.875
Range2.458
Interquartile range (IQR)0.204

Descriptive statistics

Standard deviation0.18219514
Coefficient of variation (CV)1.0084236
Kurtosis7.0377227
Mean0.18067322
Median Absolute Deviation (MAD)0.102
Skewness1.0293454
Sum376.523
Variance0.033195069
MonotonicityNot monotonic
2023-12-12T19:39:38.596175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 158
 
3.9%
0.073 12
 
0.3%
0.123 11
 
0.3%
0.117 11
 
0.3%
0.105 10
 
0.2%
0.168 10
 
0.2%
0.141 10
 
0.2%
0.165 10
 
0.2%
0.132 10
 
0.2%
0.206 10
 
0.2%
Other values (604) 1832
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.583 3
0.1%
-0.497 1
 
< 0.1%
-0.449 2
< 0.1%
-0.408 1
 
< 0.1%
-0.359 1
 
< 0.1%
-0.354 1
 
< 0.1%
-0.351 1
 
< 0.1%
-0.337 1
 
< 0.1%
-0.335 2
< 0.1%
-0.329 2
< 0.1%
ValueCountFrequency (%)
1.875 1
< 0.1%
1.281 1
< 0.1%
1.219 1
< 0.1%
1.166 1
< 0.1%
1.153 1
< 0.1%
1.106 1
< 0.1%
1.07 1
< 0.1%
0.979 1
< 0.1%
0.959 1
< 0.1%
0.934 1
< 0.1%

2020-03
Real number (ℝ)

MISSING  ZEROS 

Distinct587
Distinct (%)28.2%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.15001296
Minimum-0.772
Maximum1.171
Zeros135
Zeros (%)3.4%
Negative183
Negative (%)4.6%
Memory size35.4 KiB
2023-12-12T19:39:38.747905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.772
5-th percentile-0.045
Q10.054
median0.135
Q30.238
95-th percentile0.42085
Maximum1.171
Range1.943
Interquartile range (IQR)0.184

Descriptive statistics

Standard deviation0.15619866
Coefficient of variation (CV)1.0412345
Kurtosis2.6867786
Mean0.15001296
Median Absolute Deviation (MAD)0.0895
Skewness0.2644563
Sum312.627
Variance0.024398022
MonotonicityNot monotonic
2023-12-12T19:39:38.931850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 135
 
3.4%
0.068 13
 
0.3%
0.106 13
 
0.3%
0.127 12
 
0.3%
0.097 12
 
0.3%
0.059 12
 
0.3%
0.146 12
 
0.3%
0.107 12
 
0.3%
0.093 11
 
0.3%
0.066 11
 
0.3%
Other values (577) 1841
45.8%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.772 1
< 0.1%
-0.419 1
< 0.1%
-0.409 1
< 0.1%
-0.375 2
< 0.1%
-0.361 1
< 0.1%
-0.351 1
< 0.1%
-0.338 1
< 0.1%
-0.332 2
< 0.1%
-0.324 2
< 0.1%
-0.318 1
< 0.1%
ValueCountFrequency (%)
1.171 1
< 0.1%
0.819 2
< 0.1%
0.762 1
< 0.1%
0.708 1
< 0.1%
0.7 1
< 0.1%
0.682 1
< 0.1%
0.673 2
< 0.1%
0.66 1
< 0.1%
0.647 1
< 0.1%
0.645 1
< 0.1%

2020-04
Real number (ℝ)

MISSING  ZEROS 

Distinct556
Distinct (%)26.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.13317802
Minimum-0.51
Maximum0.951
Zeros141
Zeros (%)3.5%
Negative185
Negative (%)4.6%
Memory size35.4 KiB
2023-12-12T19:39:39.112270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.51
5-th percentile-0.06585
Q10.044
median0.121
Q30.226
95-th percentile0.36385
Maximum0.951
Range1.461
Interquartile range (IQR)0.182

Descriptive statistics

Standard deviation0.1440608
Coefficient of variation (CV)1.081716
Kurtosis1.9503818
Mean0.13317802
Median Absolute Deviation (MAD)0.089
Skewness0.094738554
Sum277.543
Variance0.020753515
MonotonicityNot monotonic
2023-12-12T19:39:39.286953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 141
 
3.5%
0.047 17
 
0.4%
0.07 14
 
0.3%
0.105 12
 
0.3%
0.094 11
 
0.3%
0.035 11
 
0.3%
0.049 11
 
0.3%
0.056 11
 
0.3%
0.079 10
 
0.2%
0.066 10
 
0.2%
Other values (546) 1836
45.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.51 1
 
< 0.1%
-0.423 1
 
< 0.1%
-0.409 3
0.1%
-0.385 1
 
< 0.1%
-0.353 1
 
< 0.1%
-0.337 1
 
< 0.1%
-0.328 1
 
< 0.1%
-0.326 1
 
< 0.1%
-0.304 1
 
< 0.1%
-0.303 1
 
< 0.1%
ValueCountFrequency (%)
0.951 1
< 0.1%
0.8 1
< 0.1%
0.721 1
< 0.1%
0.716 1
< 0.1%
0.674 1
< 0.1%
0.638 2
< 0.1%
0.626 1
< 0.1%
0.6 1
< 0.1%
0.59 1
< 0.1%
0.559 1
< 0.1%

2020-05
Real number (ℝ)

MISSING  ZEROS 

Distinct545
Distinct (%)26.2%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.14881622
Minimum-0.547
Maximum2.078
Zeros133
Zeros (%)3.3%
Negative146
Negative (%)3.6%
Memory size35.4 KiB
2023-12-12T19:39:39.493151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.547
5-th percentile-0.0327
Q10.05675
median0.138
Q30.228
95-th percentile0.38085
Maximum2.078
Range2.625
Interquartile range (IQR)0.17125

Descriptive statistics

Standard deviation0.14607628
Coefficient of variation (CV)0.98158846
Kurtosis15.818963
Mean0.14881622
Median Absolute Deviation (MAD)0.0865
Skewness1.4142444
Sum310.133
Variance0.021338281
MonotonicityNot monotonic
2023-12-12T19:39:39.736379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
 
3.3%
0.107 15
 
0.4%
0.132 15
 
0.4%
0.133 14
 
0.3%
0.121 13
 
0.3%
0.05 13
 
0.3%
0.214 12
 
0.3%
0.225 12
 
0.3%
0.041 11
 
0.3%
0.09 11
 
0.3%
Other values (535) 1835
45.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.547 1
 
< 0.1%
-0.388 3
0.1%
-0.307 1
 
< 0.1%
-0.259 1
 
< 0.1%
-0.258 1
 
< 0.1%
-0.255 1
 
< 0.1%
-0.245 1
 
< 0.1%
-0.236 2
< 0.1%
-0.218 2
< 0.1%
-0.216 1
 
< 0.1%
ValueCountFrequency (%)
2.078 1
< 0.1%
0.816 2
< 0.1%
0.803 1
< 0.1%
0.777 1
< 0.1%
0.705 1
< 0.1%
0.662 2
< 0.1%
0.656 1
< 0.1%
0.637 1
< 0.1%
0.623 1
< 0.1%
0.615 1
< 0.1%

2020-06
Real number (ℝ)

MISSING  ZEROS 

Distinct541
Distinct (%)26.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.16789203
Minimum-0.771
Maximum1.058
Zeros149
Zeros (%)3.7%
Negative112
Negative (%)2.8%
Memory size35.4 KiB
2023-12-12T19:39:39.927584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.771
5-th percentile-0.003
Q10.06975
median0.1575
Q30.25025
95-th percentile0.407
Maximum1.058
Range1.829
Interquartile range (IQR)0.1805

Descriptive statistics

Standard deviation0.14229013
Coefficient of variation (CV)0.84750972
Kurtosis2.3925552
Mean0.16789203
Median Absolute Deviation (MAD)0.091
Skewness0.53281513
Sum349.887
Variance0.020246481
MonotonicityNot monotonic
2023-12-12T19:39:40.470177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 149
 
3.7%
0.265 13
 
0.3%
0.125 13
 
0.3%
0.175 12
 
0.3%
0.09 11
 
0.3%
0.205 11
 
0.3%
0.165 11
 
0.3%
0.148 10
 
0.2%
0.127 10
 
0.2%
0.031 10
 
0.2%
Other values (531) 1834
45.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.771 1
 
< 0.1%
-0.301 1
 
< 0.1%
-0.292 1
 
< 0.1%
-0.277 1
 
< 0.1%
-0.224 1
 
< 0.1%
-0.194 1
 
< 0.1%
-0.163 1
 
< 0.1%
-0.161 2
< 0.1%
-0.15 1
 
< 0.1%
-0.143 3
0.1%
ValueCountFrequency (%)
1.058 1
< 0.1%
0.917 1
< 0.1%
0.765 1
< 0.1%
0.739 1
< 0.1%
0.738 1
< 0.1%
0.711 1
< 0.1%
0.678 1
< 0.1%
0.666 1
< 0.1%
0.654 1
< 0.1%
0.648 1
< 0.1%

2020-07
Real number (ℝ)

MISSING  ZEROS 

Distinct568
Distinct (%)27.3%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.18401871
Minimum-0.773
Maximum4.002
Zeros138
Zeros (%)3.4%
Negative93
Negative (%)2.3%
Memory size35.4 KiB
2023-12-12T19:39:40.666887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.773
5-th percentile0
Q10.07875
median0.169
Q30.261
95-th percentile0.44685
Maximum4.002
Range4.775
Interquartile range (IQR)0.18225

Descriptive statistics

Standard deviation0.1776155
Coefficient of variation (CV)0.96520344
Kurtosis105.90306
Mean0.18401871
Median Absolute Deviation (MAD)0.091
Skewness5.5880393
Sum383.495
Variance0.031547265
MonotonicityNot monotonic
2023-12-12T19:39:40.832352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 138
 
3.4%
0.193 13
 
0.3%
0.188 12
 
0.3%
0.105 11
 
0.3%
0.181 11
 
0.3%
0.117 11
 
0.3%
0.154 10
 
0.2%
0.168 10
 
0.2%
0.14 10
 
0.2%
0.161 10
 
0.2%
Other values (558) 1848
46.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.773 1
< 0.1%
-0.387 1
< 0.1%
-0.374 1
< 0.1%
-0.361 1
< 0.1%
-0.358 1
< 0.1%
-0.263 1
< 0.1%
-0.236 1
< 0.1%
-0.174 1
< 0.1%
-0.145 2
< 0.1%
-0.125 1
< 0.1%
ValueCountFrequency (%)
4.002 1
< 0.1%
1.567 1
< 0.1%
1.348 1
< 0.1%
1.183 1
< 0.1%
1.018 1
< 0.1%
0.97 1
< 0.1%
0.921 1
< 0.1%
0.9 1
< 0.1%
0.84 1
< 0.1%
0.821 1
< 0.1%

2020-08
Real number (ℝ)

MISSING  ZEROS 

Distinct552
Distinct (%)26.5%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.17365499
Minimum-0.699
Maximum2.287
Zeros130
Zeros (%)3.2%
Negative104
Negative (%)2.6%
Memory size35.4 KiB
2023-12-12T19:39:41.002218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.699
5-th percentile0
Q10.074
median0.1595
Q30.247
95-th percentile0.417
Maximum2.287
Range2.986
Interquartile range (IQR)0.173

Descriptive statistics

Standard deviation0.16482575
Coefficient of variation (CV)0.94915641
Kurtosis22.760709
Mean0.17365499
Median Absolute Deviation (MAD)0.0865
Skewness2.6092716
Sum361.897
Variance0.027167527
MonotonicityNot monotonic
2023-12-12T19:39:41.159682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 130
 
3.2%
0.152 14
 
0.3%
0.177 14
 
0.3%
0.187 13
 
0.3%
0.188 12
 
0.3%
0.191 11
 
0.3%
0.131 11
 
0.3%
0.195 11
 
0.3%
0.08 10
 
0.2%
0.194 10
 
0.2%
Other values (542) 1848
46.0%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.699 1
 
< 0.1%
-0.463 1
 
< 0.1%
-0.319 1
 
< 0.1%
-0.308 3
0.1%
-0.295 1
 
< 0.1%
-0.291 1
 
< 0.1%
-0.19 1
 
< 0.1%
-0.184 1
 
< 0.1%
-0.171 2
< 0.1%
-0.17 1
 
< 0.1%
ValueCountFrequency (%)
2.287 1
< 0.1%
1.659 1
< 0.1%
1.523 1
< 0.1%
1.37 1
< 0.1%
1.361 1
< 0.1%
1.214 1
< 0.1%
1.04 1
< 0.1%
0.99 1
< 0.1%
0.927 1
< 0.1%
0.894 1
< 0.1%

2020-09
Real number (ℝ)

MISSING  ZEROS 

Distinct578
Distinct (%)27.9%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.19960164
Minimum-0.541
Maximum3.667
Zeros51
Zeros (%)1.3%
Negative108
Negative (%)2.7%
Memory size35.4 KiB
2023-12-12T19:39:41.344480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.541
5-th percentile-0.0045
Q10.106
median0.186
Q30.271
95-th percentile0.448
Maximum3.667
Range4.208
Interquartile range (IQR)0.165

Descriptive statistics

Standard deviation0.18526713
Coefficient of variation (CV)0.92818441
Kurtosis70.893967
Mean0.19960164
Median Absolute Deviation (MAD)0.082
Skewness4.9092107
Sum413.375
Variance0.03432391
MonotonicityNot monotonic
2023-12-12T19:39:41.582126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 51
 
1.3%
0.183 15
 
0.4%
0.224 14
 
0.3%
0.196 14
 
0.3%
0.218 13
 
0.3%
0.19 12
 
0.3%
0.165 11
 
0.3%
0.176 11
 
0.3%
0.245 11
 
0.3%
0.13 11
 
0.3%
Other values (568) 1908
47.5%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.541 1
 
< 0.1%
-0.47 1
 
< 0.1%
-0.357 1
 
< 0.1%
-0.319 1
 
< 0.1%
-0.271 1
 
< 0.1%
-0.269 1
 
< 0.1%
-0.203 1
 
< 0.1%
-0.202 1
 
< 0.1%
-0.188 3
0.1%
-0.17 1
 
< 0.1%
ValueCountFrequency (%)
3.667 1
< 0.1%
1.96 1
< 0.1%
1.726 1
< 0.1%
1.706 1
< 0.1%
1.64 1
< 0.1%
1.59 1
< 0.1%
1.124 1
< 0.1%
1.018 1
< 0.1%
0.969 1
< 0.1%
0.945 1
< 0.1%

2020-10
Real number (ℝ)

MISSING  ZEROS 

Distinct582
Distinct (%)28.1%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.19456253
Minimum-1.29
Maximum2.917
Zeros60
Zeros (%)1.5%
Negative116
Negative (%)2.9%
Memory size35.4 KiB
2023-12-12T19:39:41.762765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.29
5-th percentile-0.013
Q10.0995
median0.184
Q30.269
95-th percentile0.444
Maximum2.917
Range4.207
Interquartile range (IQR)0.1695

Descriptive statistics

Standard deviation0.18184459
Coefficient of variation (CV)0.93463315
Kurtosis41.058916
Mean0.19456253
Median Absolute Deviation (MAD)0.085
Skewness3.1515644
Sum402.939
Variance0.033067455
MonotonicityNot monotonic
2023-12-12T19:39:41.961611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 60
 
1.5%
0.13 13
 
0.3%
0.163 13
 
0.3%
0.204 13
 
0.3%
0.203 12
 
0.3%
0.157 12
 
0.3%
0.196 11
 
0.3%
0.23 11
 
0.3%
0.142 10
 
0.2%
0.158 10
 
0.2%
Other values (572) 1906
47.4%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.29 1
< 0.1%
-0.522 1
< 0.1%
-0.499 2
< 0.1%
-0.459 1
< 0.1%
-0.407 1
< 0.1%
-0.37 1
< 0.1%
-0.289 1
< 0.1%
-0.276 1
< 0.1%
-0.272 1
< 0.1%
-0.244 1
< 0.1%
ValueCountFrequency (%)
2.917 1
< 0.1%
2.395 1
< 0.1%
1.452 1
< 0.1%
1.412 1
< 0.1%
1.368 1
< 0.1%
1.319 1
< 0.1%
1.236 1
< 0.1%
1.08 1
< 0.1%
1.037 1
< 0.1%
0.982 1
< 0.1%

2020-11
Real number (ℝ)

MISSING  ZEROS 

Distinct619
Distinct (%)29.9%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.21693192
Minimum-0.693
Maximum2.355
Zeros56
Zeros (%)1.4%
Negative89
Negative (%)2.2%
Memory size35.4 KiB
2023-12-12T19:39:42.146445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.693
5-th percentile0
Q10.11
median0.199
Q30.2945
95-th percentile0.4945
Maximum2.355
Range3.048
Interquartile range (IQR)0.1845

Descriptive statistics

Standard deviation0.18780816
Coefficient of variation (CV)0.86574703
Kurtosis21.16132
Mean0.21693192
Median Absolute Deviation (MAD)0.092
Skewness2.7780688
Sum449.266
Variance0.035271906
MonotonicityNot monotonic
2023-12-12T19:39:42.344558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
 
1.4%
0.182 14
 
0.3%
0.19 13
 
0.3%
0.203 12
 
0.3%
0.209 11
 
0.3%
0.191 11
 
0.3%
0.223 11
 
0.3%
0.052 10
 
0.2%
0.29 10
 
0.2%
0.232 10
 
0.2%
Other values (609) 1913
47.6%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.693 1
< 0.1%
-0.404 1
< 0.1%
-0.26 1
< 0.1%
-0.259 1
< 0.1%
-0.217 1
< 0.1%
-0.208 1
< 0.1%
-0.206 1
< 0.1%
-0.184 1
< 0.1%
-0.18 1
< 0.1%
-0.159 1
< 0.1%
ValueCountFrequency (%)
2.355 1
< 0.1%
2.009 1
< 0.1%
1.961 1
< 0.1%
1.602 1
< 0.1%
1.546 1
< 0.1%
1.391 1
< 0.1%
1.363 1
< 0.1%
1.234 1
< 0.1%
1.172 1
< 0.1%
1.143 1
< 0.1%

2020-12
Real number (ℝ)

MISSING  ZEROS 

Distinct623
Distinct (%)30.1%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.23464365
Minimum-0.287
Maximum3.028
Zeros49
Zeros (%)1.2%
Negative70
Negative (%)1.7%
Memory size35.4 KiB
2023-12-12T19:39:42.595097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.287
5-th percentile0
Q10.1215
median0.217
Q30.316
95-th percentile0.515
Maximum3.028
Range3.315
Interquartile range (IQR)0.1945

Descriptive statistics

Standard deviation0.19204133
Coefficient of variation (CV)0.81843821
Kurtosis35.288711
Mean0.23464365
Median Absolute Deviation (MAD)0.097
Skewness3.5123714
Sum485.947
Variance0.036879872
MonotonicityNot monotonic
2023-12-12T19:39:42.810987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 49
 
1.2%
0.189 13
 
0.3%
0.185 12
 
0.3%
0.223 11
 
0.3%
0.028 11
 
0.3%
0.22 11
 
0.3%
0.234 11
 
0.3%
0.267 11
 
0.3%
0.155 10
 
0.2%
0.172 10
 
0.2%
Other values (613) 1922
47.8%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.287 1
< 0.1%
-0.176 1
< 0.1%
-0.165 1
< 0.1%
-0.146 1
< 0.1%
-0.139 1
< 0.1%
-0.107 2
< 0.1%
-0.102 1
< 0.1%
-0.099 1
< 0.1%
-0.098 2
< 0.1%
-0.097 1
< 0.1%
ValueCountFrequency (%)
3.028 1
< 0.1%
2.482 1
< 0.1%
1.763 1
< 0.1%
1.354 1
< 0.1%
1.348 1
< 0.1%
1.329 1
< 0.1%
1.321 1
< 0.1%
1.263 1
< 0.1%
1.232 1
< 0.1%
1.155 1
< 0.1%

2021-01
Real number (ℝ)

MISSING  ZEROS 

Distinct527
Distinct (%)25.4%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.2014423
Minimum-0.275
Maximum1.543
Zeros65
Zeros (%)1.6%
Negative58
Negative (%)1.4%
Memory size35.4 KiB
2023-12-12T19:39:43.032575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.275
5-th percentile0
Q10.111
median0.19
Q30.274
95-th percentile0.4265
Maximum1.543
Range1.818
Interquartile range (IQR)0.163

Descriptive statistics

Standard deviation0.14487441
Coefficient of variation (CV)0.71918563
Kurtosis9.1327191
Mean0.2014423
Median Absolute Deviation (MAD)0.081
Skewness1.6065281
Sum417.187
Variance0.020988594
MonotonicityNot monotonic
2023-12-12T19:39:43.237617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 65
 
1.6%
0.235 15
 
0.4%
0.107 14
 
0.3%
0.171 13
 
0.3%
0.244 12
 
0.3%
0.192 12
 
0.3%
0.153 12
 
0.3%
0.126 12
 
0.3%
0.143 12
 
0.3%
0.274 11
 
0.3%
Other values (517) 1893
47.1%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.275 1
< 0.1%
-0.263 1
< 0.1%
-0.225 1
< 0.1%
-0.188 1
< 0.1%
-0.16 1
< 0.1%
-0.135 1
< 0.1%
-0.128 1
< 0.1%
-0.122 2
< 0.1%
-0.118 1
< 0.1%
-0.105 1
< 0.1%
ValueCountFrequency (%)
1.543 1
< 0.1%
1.334 1
< 0.1%
1.288 1
< 0.1%
1.056 1
< 0.1%
1.051 1
< 0.1%
1.043 1
< 0.1%
0.934 1
< 0.1%
0.933 1
< 0.1%
0.851 1
< 0.1%
0.85 1
< 0.1%

2021-02
Real number (ℝ)

MISSING  ZEROS 

Distinct525
Distinct (%)25.4%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.19753404
Minimum-0.955
Maximum1.393
Zeros67
Zeros (%)1.7%
Negative55
Negative (%)1.4%
Memory size35.4 KiB
2023-12-12T19:39:43.458078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.955
5-th percentile0
Q10.1045
median0.187
Q30.27
95-th percentile0.42
Maximum1.393
Range2.348
Interquartile range (IQR)0.1655

Descriptive statistics

Standard deviation0.14136047
Coefficient of variation (CV)0.71562588
Kurtosis7.4649201
Mean0.19753404
Median Absolute Deviation (MAD)0.083
Skewness1.0059429
Sum409.093
Variance0.019982783
MonotonicityNot monotonic
2023-12-12T19:39:43.673655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 67
 
1.7%
0.217 16
 
0.4%
0.184 14
 
0.3%
0.19 12
 
0.3%
0.24 12
 
0.3%
0.187 12
 
0.3%
0.176 12
 
0.3%
0.189 11
 
0.3%
0.22 10
 
0.2%
0.253 10
 
0.2%
Other values (515) 1895
47.2%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.955 1
< 0.1%
-0.185 1
< 0.1%
-0.17 1
< 0.1%
-0.159 1
< 0.1%
-0.139 1
< 0.1%
-0.133 1
< 0.1%
-0.126 1
< 0.1%
-0.113 1
< 0.1%
-0.112 2
< 0.1%
-0.09 1
< 0.1%
ValueCountFrequency (%)
1.393 1
< 0.1%
1.142 1
< 0.1%
1.067 1
< 0.1%
0.951 1
< 0.1%
0.918 1
< 0.1%
0.89 1
< 0.1%
0.854 1
< 0.1%
0.834 1
< 0.1%
0.769 1
< 0.1%
0.766 1
< 0.1%

2021-03
Real number (ℝ)

MISSING  ZEROS 

Distinct553
Distinct (%)26.7%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.2265717
Minimum-0.497
Maximum1.5
Zeros54
Zeros (%)1.3%
Negative43
Negative (%)1.1%
Memory size35.4 KiB
2023-12-12T19:39:43.871172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.497
5-th percentile0.005
Q10.135
median0.216
Q30.3045
95-th percentile0.4595
Maximum1.5
Range1.997
Interquartile range (IQR)0.1695

Descriptive statistics

Standard deviation0.14955901
Coefficient of variation (CV)0.66009569
Kurtosis7.3829731
Mean0.2265717
Median Absolute Deviation (MAD)0.084
Skewness1.2318734
Sum469.23
Variance0.022367896
MonotonicityNot monotonic
2023-12-12T19:39:44.062187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
1.3%
0.199 16
 
0.4%
0.216 13
 
0.3%
0.168 13
 
0.3%
0.215 12
 
0.3%
0.254 12
 
0.3%
0.278 11
 
0.3%
0.261 11
 
0.3%
0.175 11
 
0.3%
0.161 10
 
0.2%
Other values (543) 1908
47.5%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.497 1
< 0.1%
-0.46 1
< 0.1%
-0.346 1
< 0.1%
-0.278 1
< 0.1%
-0.223 1
< 0.1%
-0.201 1
< 0.1%
-0.153 1
< 0.1%
-0.093 1
< 0.1%
-0.073 1
< 0.1%
-0.069 1
< 0.1%
ValueCountFrequency (%)
1.5 1
< 0.1%
1.389 1
< 0.1%
1.318 1
< 0.1%
1.135 1
< 0.1%
0.889 1
< 0.1%
0.887 1
< 0.1%
0.845 1
< 0.1%
0.821 1
< 0.1%
0.817 1
< 0.1%
0.789 1
< 0.1%

2021-04
Real number (ℝ)

MISSING  ZEROS 

Distinct553
Distinct (%)26.7%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.23343216
Minimum-0.5
Maximum1.699
Zeros44
Zeros (%)1.1%
Negative33
Negative (%)0.8%
Memory size35.4 KiB
2023-12-12T19:39:44.251419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.5
5-th percentile0.016
Q10.1425
median0.221
Q30.306
95-th percentile0.464
Maximum1.699
Range2.199
Interquartile range (IQR)0.1635

Descriptive statistics

Standard deviation0.15199195
Coefficient of variation (CV)0.65111831
Kurtosis8.6626859
Mean0.23343216
Median Absolute Deviation (MAD)0.082
Skewness1.3803354
Sum483.438
Variance0.023101554
MonotonicityNot monotonic
2023-12-12T19:39:44.432048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
1.1%
0.166 14
 
0.3%
0.218 12
 
0.3%
0.266 12
 
0.3%
0.225 12
 
0.3%
0.247 12
 
0.3%
0.227 12
 
0.3%
0.25 11
 
0.3%
0.156 11
 
0.3%
0.188 10
 
0.2%
Other values (543) 1921
47.8%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.5 1
< 0.1%
-0.454 1
< 0.1%
-0.446 1
< 0.1%
-0.349 1
< 0.1%
-0.226 1
< 0.1%
-0.174 1
< 0.1%
-0.151 1
< 0.1%
-0.127 1
< 0.1%
-0.116 1
< 0.1%
-0.092 1
< 0.1%
ValueCountFrequency (%)
1.699 1
< 0.1%
1.247 1
< 0.1%
1.158 1
< 0.1%
1.117 1
< 0.1%
1.088 1
< 0.1%
1.085 1
< 0.1%
1.02 1
< 0.1%
1.002 1
< 0.1%
0.929 1
< 0.1%
0.875 1
< 0.1%

2021-05
Real number (ℝ)

MISSING  ZEROS 

Distinct524
Distinct (%)25.3%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22765476
Minimum-0.464
Maximum1.181
Zeros46
Zeros (%)1.1%
Negative26
Negative (%)0.6%
Memory size35.4 KiB
2023-12-12T19:39:44.626687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.464
5-th percentile0.019
Q10.141
median0.214
Q30.3
95-th percentile0.458
Maximum1.181
Range1.645
Interquartile range (IQR)0.159

Descriptive statistics

Standard deviation0.13928538
Coefficient of variation (CV)0.61182724
Kurtosis4.3689048
Mean0.22765476
Median Absolute Deviation (MAD)0.08
Skewness1.054513
Sum471.473
Variance0.019400417
MonotonicityNot monotonic
2023-12-12T19:39:44.873740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 46
 
1.1%
0.192 14
 
0.3%
0.205 14
 
0.3%
0.168 13
 
0.3%
0.162 12
 
0.3%
0.163 12
 
0.3%
0.183 12
 
0.3%
0.231 12
 
0.3%
0.234 12
 
0.3%
0.212 12
 
0.3%
Other values (514) 1912
47.6%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.464 1
 
< 0.1%
-0.327 1
 
< 0.1%
-0.137 1
 
< 0.1%
-0.098 1
 
< 0.1%
-0.067 1
 
< 0.1%
-0.066 1
 
< 0.1%
-0.063 1
 
< 0.1%
-0.062 3
0.1%
-0.059 1
 
< 0.1%
-0.058 1
 
< 0.1%
ValueCountFrequency (%)
1.181 1
< 0.1%
1.13 1
< 0.1%
1.11 1
< 0.1%
0.955 1
< 0.1%
0.921 1
< 0.1%
0.905 1
< 0.1%
0.868 1
< 0.1%
0.838 1
< 0.1%
0.825 1
< 0.1%
0.77 1
< 0.1%

2021-06
Real number (ℝ)

MISSING  ZEROS 

Distinct542
Distinct (%)26.2%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22860309
Minimum-0.313
Maximum1.225
Zeros50
Zeros (%)1.2%
Negative21
Negative (%)0.5%
Memory size35.4 KiB
2023-12-12T19:39:45.064502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.313
5-th percentile0.0175
Q10.138
median0.211
Q30.303
95-th percentile0.466
Maximum1.225
Range1.538
Interquartile range (IQR)0.165

Descriptive statistics

Standard deviation0.14359801
Coefficient of variation (CV)0.62815429
Kurtosis4.4720036
Mean0.22860309
Median Absolute Deviation (MAD)0.081
Skewness1.2362807
Sum473.437
Variance0.020620389
MonotonicityNot monotonic
2023-12-12T19:39:45.230311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 50
 
1.2%
0.19 16
 
0.4%
0.239 14
 
0.3%
0.181 14
 
0.3%
0.246 12
 
0.3%
0.106 12
 
0.3%
0.211 11
 
0.3%
0.124 11
 
0.3%
0.138 11
 
0.3%
0.206 11
 
0.3%
Other values (532) 1909
47.5%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.313 1
< 0.1%
-0.268 1
< 0.1%
-0.098 1
< 0.1%
-0.084 2
< 0.1%
-0.083 1
< 0.1%
-0.079 1
< 0.1%
-0.069 1
< 0.1%
-0.063 1
< 0.1%
-0.046 1
< 0.1%
-0.045 2
< 0.1%
ValueCountFrequency (%)
1.225 1
< 0.1%
1.12 1
< 0.1%
0.971 1
< 0.1%
0.955 1
< 0.1%
0.954 1
< 0.1%
0.906 1
< 0.1%
0.896 1
< 0.1%
0.878 1
< 0.1%
0.876 1
< 0.1%
0.868 1
< 0.1%

2021-07
Real number (ℝ)

MISSING 

Distinct523
Distinct (%)25.3%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22862482
Minimum-0.718
Maximum1.319
Zeros36
Zeros (%)0.9%
Negative10
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:45.418509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.718
5-th percentile0.035
Q10.136
median0.207
Q30.301
95-th percentile0.465
Maximum1.319
Range2.037
Interquartile range (IQR)0.165

Descriptive statistics

Standard deviation0.14834975
Coefficient of variation (CV)0.64887859
Kurtosis7.3242418
Mean0.22862482
Median Absolute Deviation (MAD)0.081
Skewness1.4184464
Sum473.482
Variance0.022007648
MonotonicityNot monotonic
2023-12-12T19:39:45.972913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
0.9%
0.156 16
 
0.4%
0.168 15
 
0.4%
0.182 14
 
0.3%
0.287 12
 
0.3%
0.172 12
 
0.3%
0.216 12
 
0.3%
0.164 12
 
0.3%
0.192 12
 
0.3%
0.207 12
 
0.3%
Other values (513) 1918
47.7%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.718 1
< 0.1%
-0.482 1
< 0.1%
-0.243 1
< 0.1%
-0.164 1
< 0.1%
-0.113 1
< 0.1%
-0.071 1
< 0.1%
-0.069 1
< 0.1%
-0.053 1
< 0.1%
-0.041 1
< 0.1%
-0.016 1
< 0.1%
ValueCountFrequency (%)
1.319 1
< 0.1%
1.31 1
< 0.1%
1.221 1
< 0.1%
1.084 1
< 0.1%
1.031 1
< 0.1%
1.0 1
< 0.1%
0.982 2
< 0.1%
0.909 1
< 0.1%
0.905 1
< 0.1%
0.903 1
< 0.1%

2021-08
Real number (ℝ)

MISSING  ZEROS 

Distinct544
Distinct (%)26.3%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22869628
Minimum-0.552
Maximum1.321
Zeros45
Zeros (%)1.1%
Negative10
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:46.150595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.552
5-th percentile0.0215
Q10.137
median0.209
Q30.3
95-th percentile0.4815
Maximum1.321
Range1.873
Interquartile range (IQR)0.163

Descriptive statistics

Standard deviation0.14588834
Coefficient of variation (CV)0.63791305
Kurtosis4.0209906
Mean0.22869628
Median Absolute Deviation (MAD)0.082
Skewness1.1075557
Sum473.63
Variance0.021283409
MonotonicityNot monotonic
2023-12-12T19:39:46.364375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 45
 
1.1%
0.228 14
 
0.3%
0.226 14
 
0.3%
0.192 13
 
0.3%
0.166 13
 
0.3%
0.296 12
 
0.3%
0.161 12
 
0.3%
0.157 12
 
0.3%
0.198 12
 
0.3%
0.142 11
 
0.3%
Other values (534) 1913
47.6%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.552 1
 
< 0.1%
-0.211 1
 
< 0.1%
-0.173 1
 
< 0.1%
-0.112 1
 
< 0.1%
-0.089 1
 
< 0.1%
-0.086 1
 
< 0.1%
-0.064 1
 
< 0.1%
-0.051 1
 
< 0.1%
-0.01 2
 
< 0.1%
0.0 45
1.1%
ValueCountFrequency (%)
1.321 1
< 0.1%
1.107 1
< 0.1%
1.002 1
< 0.1%
0.919 1
< 0.1%
0.857 1
< 0.1%
0.834 1
< 0.1%
0.82 1
< 0.1%
0.793 1
< 0.1%
0.787 1
< 0.1%
0.781 1
< 0.1%

2021-09
Real number (ℝ)

MISSING  ZEROS 

Distinct545
Distinct (%)26.3%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22661951
Minimum-0.556
Maximum0.998
Zeros48
Zeros (%)1.2%
Negative10
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:46.640053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.556
5-th percentile0.02
Q10.134
median0.208
Q30.297
95-th percentile0.485
Maximum0.998
Range1.554
Interquartile range (IQR)0.163

Descriptive statistics

Standard deviation0.14651599
Coefficient of variation (CV)0.6465286
Kurtosis3.878897
Mean0.22661951
Median Absolute Deviation (MAD)0.08
Skewness1.2156429
Sum469.329
Variance0.021466936
MonotonicityNot monotonic
2023-12-12T19:39:46.830041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 48
 
1.2%
0.194 15
 
0.4%
0.147 13
 
0.3%
0.21 13
 
0.3%
0.117 13
 
0.3%
0.215 12
 
0.3%
0.115 12
 
0.3%
0.216 11
 
0.3%
0.224 11
 
0.3%
0.214 11
 
0.3%
Other values (535) 1912
47.6%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.556 1
 
< 0.1%
-0.173 1
 
< 0.1%
-0.152 1
 
< 0.1%
-0.061 3
 
0.1%
-0.036 1
 
< 0.1%
-0.028 1
 
< 0.1%
-0.02 1
 
< 0.1%
-0.016 1
 
< 0.1%
0.0 48
1.2%
0.001 3
 
0.1%
ValueCountFrequency (%)
0.998 1
< 0.1%
0.994 1
< 0.1%
0.978 1
< 0.1%
0.954 1
< 0.1%
0.949 1
< 0.1%
0.947 1
< 0.1%
0.945 1
< 0.1%
0.94 1
< 0.1%
0.93 1
< 0.1%
0.917 1
< 0.1%

2021-10
Real number (ℝ)

MISSING  ZEROS 

Distinct542
Distinct (%)26.2%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22137904
Minimum-1.018
Maximum1.254
Zeros42
Zeros (%)1.0%
Negative14
Negative (%)0.3%
Memory size35.4 KiB
2023-12-12T19:39:47.069444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.018
5-th percentile0.027
Q10.126
median0.199
Q30.294
95-th percentile0.4755
Maximum1.254
Range2.272
Interquartile range (IQR)0.168

Descriptive statistics

Standard deviation0.14918833
Coefficient of variation (CV)0.6739045
Kurtosis7.4869458
Mean0.22137904
Median Absolute Deviation (MAD)0.082
Skewness1.1485473
Sum458.476
Variance0.022257159
MonotonicityNot monotonic
2023-12-12T19:39:47.290654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
1.0%
0.143 14
 
0.3%
0.233 13
 
0.3%
0.155 12
 
0.3%
0.119 12
 
0.3%
0.212 11
 
0.3%
0.152 11
 
0.3%
0.17 11
 
0.3%
0.11 11
 
0.3%
0.148 11
 
0.3%
Other values (532) 1923
47.9%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-1.018 1
 
< 0.1%
-0.273 2
< 0.1%
-0.1 1
 
< 0.1%
-0.087 1
 
< 0.1%
-0.04 1
 
< 0.1%
-0.039 2
< 0.1%
-0.035 3
0.1%
-0.033 1
 
< 0.1%
-0.016 1
 
< 0.1%
-0.004 1
 
< 0.1%
ValueCountFrequency (%)
1.254 1
< 0.1%
1.238 1
< 0.1%
1.229 1
< 0.1%
1.145 1
< 0.1%
0.995 1
< 0.1%
0.976 1
< 0.1%
0.94 1
< 0.1%
0.912 1
< 0.1%
0.9 1
< 0.1%
0.895 1
< 0.1%

2021-11
Real number (ℝ)

MISSING  ZEROS 

Distinct522
Distinct (%)25.2%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22678947
Minimum-0.675
Maximum1.413
Zeros44
Zeros (%)1.1%
Negative12
Negative (%)0.3%
Memory size35.4 KiB
2023-12-12T19:39:47.451309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.675
5-th percentile0.03
Q10.131
median0.209
Q30.296
95-th percentile0.4765
Maximum1.413
Range2.088
Interquartile range (IQR)0.165

Descriptive statistics

Standard deviation0.14858259
Coefficient of variation (CV)0.65515644
Kurtosis6.9424971
Mean0.22678947
Median Absolute Deviation (MAD)0.081
Skewness1.4051281
Sum469.681
Variance0.022076785
MonotonicityNot monotonic
2023-12-12T19:39:47.619128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
1.1%
0.194 16
 
0.4%
0.225 13
 
0.3%
0.279 12
 
0.3%
0.203 12
 
0.3%
0.108 11
 
0.3%
0.239 11
 
0.3%
0.184 11
 
0.3%
0.168 11
 
0.3%
0.11 10
 
0.2%
Other values (512) 1920
47.8%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.675 1
 
< 0.1%
-0.506 1
 
< 0.1%
-0.201 1
 
< 0.1%
-0.189 1
 
< 0.1%
-0.061 3
 
0.1%
-0.044 1
 
< 0.1%
-0.04 1
 
< 0.1%
-0.038 1
 
< 0.1%
-0.034 2
 
< 0.1%
0.0 44
1.1%
ValueCountFrequency (%)
1.413 1
< 0.1%
1.212 1
< 0.1%
1.137 1
< 0.1%
1.099 1
< 0.1%
1.026 1
< 0.1%
1.02 1
< 0.1%
0.952 1
< 0.1%
0.9 1
< 0.1%
0.884 1
< 0.1%
0.843 1
< 0.1%

2021-12
Real number (ℝ)

MISSING 

Distinct535
Distinct (%)25.8%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22809802
Minimum-0.077
Maximum1.606
Zeros38
Zeros (%)0.9%
Negative11
Negative (%)0.3%
Memory size35.4 KiB
2023-12-12T19:39:47.788497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.077
5-th percentile0.0295
Q10.133
median0.208
Q30.301
95-th percentile0.4685
Maximum1.606
Range1.683
Interquartile range (IQR)0.168

Descriptive statistics

Standard deviation0.14523505
Coefficient of variation (CV)0.63672208
Kurtosis7.6425591
Mean0.22809802
Median Absolute Deviation (MAD)0.082
Skewness1.6471567
Sum472.391
Variance0.021093219
MonotonicityNot monotonic
2023-12-12T19:39:47.956254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
 
0.9%
0.209 14
 
0.3%
0.127 12
 
0.3%
0.213 12
 
0.3%
0.264 12
 
0.3%
0.192 12
 
0.3%
0.14 12
 
0.3%
0.158 12
 
0.3%
0.194 12
 
0.3%
0.258 11
 
0.3%
Other values (525) 1924
47.9%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.077 1
 
< 0.1%
-0.043 1
 
< 0.1%
-0.035 3
 
0.1%
-0.028 1
 
< 0.1%
-0.012 1
 
< 0.1%
-0.006 1
 
< 0.1%
-0.003 2
 
< 0.1%
-0.001 1
 
< 0.1%
0.0 38
0.9%
0.001 4
 
0.1%
ValueCountFrequency (%)
1.606 1
< 0.1%
1.155 1
< 0.1%
1.125 1
< 0.1%
1.043 1
< 0.1%
1.009 1
< 0.1%
1.005 1
< 0.1%
0.971 1
< 0.1%
0.965 1
< 0.1%
0.899 1
< 0.1%
0.87 1
< 0.1%

2022-01
Real number (ℝ)

MISSING  ZEROS 

Distinct481
Distinct (%)23.2%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.19940319
Minimum-0.163
Maximum0.991
Zeros44
Zeros (%)1.1%
Negative7
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:48.131870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.163
5-th percentile0.0245
Q10.116
median0.185
Q30.263
95-th percentile0.416
Maximum0.991
Range1.154
Interquartile range (IQR)0.147

Descriptive statistics

Standard deviation0.12348957
Coefficient of variation (CV)0.61929588
Kurtosis3.873765
Mean0.19940319
Median Absolute Deviation (MAD)0.072
Skewness1.2193363
Sum412.964
Variance0.015249675
MonotonicityNot monotonic
2023-12-12T19:39:48.312196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
1.1%
0.11 14
 
0.3%
0.228 13
 
0.3%
0.113 13
 
0.3%
0.183 12
 
0.3%
0.112 12
 
0.3%
0.161 12
 
0.3%
0.227 12
 
0.3%
0.144 12
 
0.3%
0.158 11
 
0.3%
Other values (471) 1916
47.7%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.163 1
 
< 0.1%
-0.061 3
 
0.1%
-0.058 1
 
< 0.1%
-0.023 1
 
< 0.1%
-0.015 1
 
< 0.1%
0.0 44
1.1%
0.001 2
 
< 0.1%
0.003 3
 
0.1%
0.004 3
 
0.1%
0.005 1
 
< 0.1%
ValueCountFrequency (%)
0.991 1
< 0.1%
0.971 1
< 0.1%
0.955 1
< 0.1%
0.928 1
< 0.1%
0.814 1
< 0.1%
0.812 1
< 0.1%
0.758 1
< 0.1%
0.728 1
< 0.1%
0.709 1
< 0.1%
0.702 1
< 0.1%

2022-02
Real number (ℝ)

MISSING  ZEROS 

Distinct470
Distinct (%)22.7%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.19969145
Minimum-0.198
Maximum1.109
Zeros57
Zeros (%)1.4%
Negative6
Negative (%)0.1%
Memory size35.4 KiB
2023-12-12T19:39:48.466704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.198
5-th percentile0.02
Q10.119
median0.189
Q30.262
95-th percentile0.402
Maximum1.109
Range1.307
Interquartile range (IQR)0.143

Descriptive statistics

Standard deviation0.12319963
Coefficient of variation (CV)0.61694996
Kurtosis4.5399777
Mean0.19969145
Median Absolute Deviation (MAD)0.072
Skewness1.2199865
Sum413.561
Variance0.01517815
MonotonicityNot monotonic
2023-12-12T19:39:48.616320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
 
1.4%
0.195 15
 
0.4%
0.233 15
 
0.4%
0.181 14
 
0.3%
0.191 13
 
0.3%
0.115 13
 
0.3%
0.105 13
 
0.3%
0.179 12
 
0.3%
0.167 12
 
0.3%
0.198 12
 
0.3%
Other values (460) 1895
47.2%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.198 1
 
< 0.1%
-0.166 1
 
< 0.1%
-0.147 1
 
< 0.1%
-0.079 1
 
< 0.1%
-0.032 1
 
< 0.1%
-0.018 1
 
< 0.1%
0.0 57
1.4%
0.001 3
 
0.1%
0.003 1
 
< 0.1%
0.005 1
 
< 0.1%
ValueCountFrequency (%)
1.109 1
< 0.1%
1.053 1
< 0.1%
0.886 1
< 0.1%
0.873 1
< 0.1%
0.823 1
< 0.1%
0.764 1
< 0.1%
0.73 1
< 0.1%
0.726 1
< 0.1%
0.719 1
< 0.1%
0.706 1
< 0.1%

2022-03
Real number (ℝ)

MISSING 

Distinct487
Distinct (%)23.5%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.21863737
Minimum-0.148
Maximum1.182
Zeros25
Zeros (%)0.6%
Negative10
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:48.762021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.148
5-th percentile0.0395
Q10.142
median0.213
Q30.281
95-th percentile0.4195
Maximum1.182
Range1.33
Interquartile range (IQR)0.139

Descriptive statistics

Standard deviation0.11851502
Coefficient of variation (CV)0.54206206
Kurtosis4.1896771
Mean0.21863737
Median Absolute Deviation (MAD)0.07
Skewness1.0096346
Sum452.798
Variance0.014045811
MonotonicityNot monotonic
2023-12-12T19:39:48.922267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
0.6%
0.233 15
 
0.4%
0.241 14
 
0.3%
0.153 13
 
0.3%
0.138 13
 
0.3%
0.261 13
 
0.3%
0.226 13
 
0.3%
0.253 13
 
0.3%
0.235 12
 
0.3%
0.223 12
 
0.3%
Other values (477) 1928
48.0%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.148 1
 
< 0.1%
-0.102 1
 
< 0.1%
-0.094 1
 
< 0.1%
-0.071 1
 
< 0.1%
-0.067 2
 
< 0.1%
-0.025 1
 
< 0.1%
-0.022 1
 
< 0.1%
-0.014 1
 
< 0.1%
-0.001 1
 
< 0.1%
0.0 25
0.6%
ValueCountFrequency (%)
1.182 1
< 0.1%
0.936 1
< 0.1%
0.886 1
< 0.1%
0.824 1
< 0.1%
0.78 1
< 0.1%
0.753 1
< 0.1%
0.751 1
< 0.1%
0.72 1
< 0.1%
0.715 1
< 0.1%
0.688 1
< 0.1%

2022-04
Real number (ℝ)

MISSING 

Distinct486
Distinct (%)23.5%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.21776823
Minimum-0.142
Maximum1.247
Zeros30
Zeros (%)0.7%
Negative10
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:49.059172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.142
5-th percentile0.04
Q10.141
median0.207
Q30.28
95-th percentile0.4175
Maximum1.247
Range1.389
Interquartile range (IQR)0.139

Descriptive statistics

Standard deviation0.12016844
Coefficient of variation (CV)0.55181805
Kurtosis5.6328629
Mean0.21776823
Median Absolute Deviation (MAD)0.069
Skewness1.2205933
Sum450.998
Variance0.014440454
MonotonicityNot monotonic
2023-12-12T19:39:49.208453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
0.7%
0.225 14
 
0.3%
0.206 14
 
0.3%
0.189 13
 
0.3%
0.215 13
 
0.3%
0.204 13
 
0.3%
0.203 13
 
0.3%
0.255 12
 
0.3%
0.19 12
 
0.3%
0.229 12
 
0.3%
Other values (476) 1925
47.9%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.142 1
 
< 0.1%
-0.082 1
 
< 0.1%
-0.053 1
 
< 0.1%
-0.051 1
 
< 0.1%
-0.039 1
 
< 0.1%
-0.037 2
 
< 0.1%
-0.021 1
 
< 0.1%
-0.006 1
 
< 0.1%
-0.001 1
 
< 0.1%
0.0 30
0.7%
ValueCountFrequency (%)
1.247 1
< 0.1%
1.011 1
< 0.1%
0.977 1
< 0.1%
0.966 1
< 0.1%
0.89 1
< 0.1%
0.719 1
< 0.1%
0.717 1
< 0.1%
0.695 1
< 0.1%
0.669 1
< 0.1%
0.659 1
< 0.1%

2022-05
Real number (ℝ)

MISSING 

Distinct492
Distinct (%)23.8%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.22555191
Minimum-0.02
Maximum1.242
Zeros31
Zeros (%)0.8%
Negative5
Negative (%)0.1%
Memory size35.4 KiB
2023-12-12T19:39:49.349981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.02
5-th percentile0.0435
Q10.142
median0.213
Q30.2915
95-th percentile0.437
Maximum1.242
Range1.262
Interquartile range (IQR)0.1495

Descriptive statistics

Standard deviation0.12669149
Coefficient of variation (CV)0.56169547
Kurtosis6.1364947
Mean0.22555191
Median Absolute Deviation (MAD)0.074
Skewness1.4292626
Sum467.118
Variance0.016050732
MonotonicityNot monotonic
2023-12-12T19:39:49.502546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
 
0.8%
0.171 16
 
0.4%
0.167 13
 
0.3%
0.16 13
 
0.3%
0.266 12
 
0.3%
0.225 12
 
0.3%
0.182 12
 
0.3%
0.206 11
 
0.3%
0.23 11
 
0.3%
0.235 11
 
0.3%
Other values (482) 1929
48.0%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.02 1
 
< 0.1%
-0.007 1
 
< 0.1%
-0.003 1
 
< 0.1%
-0.002 1
 
< 0.1%
-0.001 1
 
< 0.1%
0.0 31
0.8%
0.002 3
 
0.1%
0.004 1
 
< 0.1%
0.006 1
 
< 0.1%
0.009 1
 
< 0.1%
ValueCountFrequency (%)
1.242 1
< 0.1%
1.167 1
< 0.1%
1.04 1
< 0.1%
1.022 1
< 0.1%
0.896 1
< 0.1%
0.803 1
< 0.1%
0.773 1
< 0.1%
0.748 1
< 0.1%
0.744 1
< 0.1%
0.741 1
< 0.1%

2022-06
Real number (ℝ)

MISSING 

Distinct469
Distinct (%)22.6%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.21607919
Minimum-0.147
Maximum1.051
Zeros33
Zeros (%)0.8%
Negative8
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:49.667147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.147
5-th percentile0.038
Q10.14
median0.205
Q30.283
95-th percentile0.413
Maximum1.051
Range1.198
Interquartile range (IQR)0.143

Descriptive statistics

Standard deviation0.1174486
Coefficient of variation (CV)0.54354426
Kurtosis3.5912031
Mean0.21607919
Median Absolute Deviation (MAD)0.071
Skewness1.0155458
Sum447.5
Variance0.013794174
MonotonicityNot monotonic
2023-12-12T19:39:49.894118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 33
 
0.8%
0.122 18
 
0.4%
0.18 15
 
0.4%
0.286 15
 
0.4%
0.103 15
 
0.4%
0.187 14
 
0.3%
0.218 14
 
0.3%
0.253 13
 
0.3%
0.237 13
 
0.3%
0.2 13
 
0.3%
Other values (459) 1908
47.5%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.147 1
 
< 0.1%
-0.083 1
 
< 0.1%
-0.053 1
 
< 0.1%
-0.044 1
 
< 0.1%
-0.025 1
 
< 0.1%
-0.019 1
 
< 0.1%
-0.007 2
 
< 0.1%
0.0 33
0.8%
0.001 1
 
< 0.1%
0.003 2
 
< 0.1%
ValueCountFrequency (%)
1.051 1
< 0.1%
0.908 1
< 0.1%
0.879 1
< 0.1%
0.851 1
< 0.1%
0.806 1
< 0.1%
0.795 1
< 0.1%
0.788 1
< 0.1%
0.77 1
< 0.1%
0.648 1
< 0.1%
0.637 1
< 0.1%

2022-07
Real number (ℝ)

MISSING 

Distinct447
Distinct (%)21.6%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.207014
Minimum-0.038
Maximum1.255
Zeros40
Zeros (%)1.0%
Negative3
Negative (%)0.1%
Memory size35.4 KiB
2023-12-12T19:39:50.105497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.038
5-th percentile0.041
Q10.133
median0.198
Q30.269
95-th percentile0.395
Maximum1.255
Range1.293
Interquartile range (IQR)0.136

Descriptive statistics

Standard deviation0.11182081
Coefficient of variation (CV)0.5401606
Kurtosis5.8306723
Mean0.207014
Median Absolute Deviation (MAD)0.067
Skewness1.1772261
Sum428.726
Variance0.012503893
MonotonicityNot monotonic
2023-12-12T19:39:50.345710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 40
 
1.0%
0.189 16
 
0.4%
0.214 15
 
0.4%
0.246 14
 
0.3%
0.21 13
 
0.3%
0.172 13
 
0.3%
0.161 13
 
0.3%
0.184 13
 
0.3%
0.235 13
 
0.3%
0.211 13
 
0.3%
Other values (437) 1908
47.5%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.038 1
 
< 0.1%
-0.013 1
 
< 0.1%
-0.007 1
 
< 0.1%
0.0 40
1.0%
0.001 1
 
< 0.1%
0.004 2
 
< 0.1%
0.006 2
 
< 0.1%
0.007 1
 
< 0.1%
0.008 3
 
0.1%
0.012 1
 
< 0.1%
ValueCountFrequency (%)
1.255 1
< 0.1%
1.045 1
< 0.1%
0.703 1
< 0.1%
0.681 1
< 0.1%
0.67 1
< 0.1%
0.66 1
< 0.1%
0.612 1
< 0.1%
0.606 1
< 0.1%
0.604 1
< 0.1%
0.597 1
< 0.1%

2022-08
Real number (ℝ)

MISSING 

Distinct441
Distinct (%)21.3%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.19498117
Minimum-0.3
Maximum1.424
Zeros31
Zeros (%)0.8%
Negative8
Negative (%)0.2%
Memory size35.4 KiB
2023-12-12T19:39:50.515839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.3
5-th percentile0.039
Q10.127
median0.185
Q30.253
95-th percentile0.373
Maximum1.424
Range1.724
Interquartile range (IQR)0.126

Descriptive statistics

Standard deviation0.10937215
Coefficient of variation (CV)0.560937
Kurtosis9.7158615
Mean0.19498117
Median Absolute Deviation (MAD)0.063
Skewness1.4080033
Sum403.806
Variance0.011962268
MonotonicityNot monotonic
2023-12-12T19:39:51.079175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
 
0.8%
0.199 16
 
0.4%
0.184 14
 
0.3%
0.162 14
 
0.3%
0.198 14
 
0.3%
0.15 14
 
0.3%
0.203 13
 
0.3%
0.172 13
 
0.3%
0.158 13
 
0.3%
0.16 12
 
0.3%
Other values (431) 1917
47.7%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.3 1
 
< 0.1%
-0.23 1
 
< 0.1%
-0.162 1
 
< 0.1%
-0.108 2
 
< 0.1%
-0.05 1
 
< 0.1%
-0.044 1
 
< 0.1%
-0.003 1
 
< 0.1%
0.0 31
0.8%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
ValueCountFrequency (%)
1.424 1
< 0.1%
0.773 1
< 0.1%
0.74 1
< 0.1%
0.731 1
< 0.1%
0.723 1
< 0.1%
0.703 1
< 0.1%
0.697 1
< 0.1%
0.651 1
< 0.1%
0.649 1
< 0.1%
0.647 1
< 0.1%

2022-09
Real number (ℝ)

MISSING 

Distinct422
Distinct (%)20.4%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.1613351
Minimum-0.247
Maximum0.984
Zeros39
Zeros (%)1.0%
Negative21
Negative (%)0.5%
Memory size35.4 KiB
2023-12-12T19:39:51.284413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.247
5-th percentile0.023
Q10.098
median0.147
Q30.21
95-th percentile0.333
Maximum0.984
Range1.231
Interquartile range (IQR)0.112

Descriptive statistics

Standard deviation0.10642464
Coefficient of variation (CV)0.65964964
Kurtosis8.2288392
Mean0.1613351
Median Absolute Deviation (MAD)0.055
Skewness1.6220229
Sum334.125
Variance0.011326205
MonotonicityNot monotonic
2023-12-12T19:39:51.521435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
1.0%
0.104 21
 
0.5%
0.135 20
 
0.5%
0.102 18
 
0.4%
0.139 17
 
0.4%
0.134 16
 
0.4%
0.142 16
 
0.4%
0.158 16
 
0.4%
0.136 15
 
0.4%
0.191 15
 
0.4%
Other values (412) 1878
46.8%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.247 1
< 0.1%
-0.225 1
< 0.1%
-0.205 1
< 0.1%
-0.199 1
< 0.1%
-0.157 1
< 0.1%
-0.153 1
< 0.1%
-0.15 1
< 0.1%
-0.139 1
< 0.1%
-0.118 1
< 0.1%
-0.111 1
< 0.1%
ValueCountFrequency (%)
0.984 1
< 0.1%
0.921 1
< 0.1%
0.886 2
< 0.1%
0.883 1
< 0.1%
0.787 1
< 0.1%
0.746 1
< 0.1%
0.699 1
< 0.1%
0.667 1
< 0.1%
0.622 1
< 0.1%
0.618 1
< 0.1%

2022-10
Real number (ℝ)

MISSING 

Distinct443
Distinct (%)21.4%
Missing1946
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.1194225
Minimum-0.507
Maximum0.981
Zeros35
Zeros (%)0.9%
Negative99
Negative (%)2.5%
Memory size35.4 KiB
2023-12-12T19:39:51.677375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.507
5-th percentile0
Q10.055
median0.108
Q30.164
95-th percentile0.2975
Maximum0.981
Range1.488
Interquartile range (IQR)0.109

Descriptive statistics

Standard deviation0.10829073
Coefficient of variation (CV)0.90678664
Kurtosis7.7301932
Mean0.1194225
Median Absolute Deviation (MAD)0.054
Skewness1.399456
Sum247.324
Variance0.011726882
MonotonicityNot monotonic
2023-12-12T19:39:51.880222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 35
 
0.9%
0.101 18
 
0.4%
0.071 17
 
0.4%
0.086 15
 
0.4%
0.074 15
 
0.4%
0.065 14
 
0.3%
0.006 14
 
0.3%
0.067 14
 
0.3%
0.04 14
 
0.3%
0.124 14
 
0.3%
Other values (433) 1901
47.3%
(Missing) 1946
48.4%
ValueCountFrequency (%)
-0.507 1
< 0.1%
-0.302 1
< 0.1%
-0.292 1
< 0.1%
-0.285 1
< 0.1%
-0.223 2
< 0.1%
-0.212 1
< 0.1%
-0.191 1
< 0.1%
-0.181 1
< 0.1%
-0.18 1
< 0.1%
-0.175 1
< 0.1%
ValueCountFrequency (%)
0.981 1
< 0.1%
0.864 1
< 0.1%
0.814 1
< 0.1%
0.746 1
< 0.1%
0.743 1
< 0.1%
0.699 1
< 0.1%
0.654 1
< 0.1%
0.652 1
< 0.1%
0.62 1
< 0.1%
0.598 1
< 0.1%

2022-11
Real number (ℝ)

MISSING 

Distinct488
Distinct (%)23.4%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.053178023
Minimum-0.666
Maximum0.739
Zeros21
Zeros (%)0.5%
Negative446
Negative (%)11.1%
Memory size35.4 KiB
2023-12-12T19:39:52.098705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.666
5-th percentile-0.11885
Q10.006
median0.044
Q30.102
95-th percentile0.243
Maximum0.739
Range1.405
Interquartile range (IQR)0.096

Descriptive statistics

Standard deviation0.11626146
Coefficient of variation (CV)2.1862689
Kurtosis5.0246958
Mean0.053178023
Median Absolute Deviation (MAD)0.048
Skewness0.47726702
Sum110.823
Variance0.013516726
MonotonicityNot monotonic
2023-12-12T19:39:52.325915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.027 25
 
0.6%
0.017 22
 
0.5%
0.0 21
 
0.5%
0.041 20
 
0.5%
0.04 20
 
0.5%
0.034 20
 
0.5%
0.044 19
 
0.5%
0.011 19
 
0.5%
0.065 17
 
0.4%
0.033 17
 
0.4%
Other values (478) 1884
46.9%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.666 1
< 0.1%
-0.438 1
< 0.1%
-0.413 1
< 0.1%
-0.393 1
< 0.1%
-0.373 1
< 0.1%
-0.366 1
< 0.1%
-0.36 1
< 0.1%
-0.354 1
< 0.1%
-0.338 1
< 0.1%
-0.333 1
< 0.1%
ValueCountFrequency (%)
0.739 1
< 0.1%
0.738 1
< 0.1%
0.659 1
< 0.1%
0.636 1
< 0.1%
0.609 1
< 0.1%
0.589 1
< 0.1%
0.584 1
< 0.1%
0.556 1
< 0.1%
0.532 1
< 0.1%
0.528 1
< 0.1%

2022-12
Real number (ℝ)

MISSING  ZEROS 

Distinct426
Distinct (%)20.4%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.015742802
Minimum-0.71
Maximum1.004
Zeros58
Zeros (%)1.4%
Negative696
Negative (%)17.3%
Memory size35.4 KiB
2023-12-12T19:39:52.547409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.71
5-th percentile-0.143
Q1-0.018
median0.019
Q30.057
95-th percentile0.151
Maximum1.004
Range1.714
Interquartile range (IQR)0.075

Descriptive statistics

Standard deviation0.10437332
Coefficient of variation (CV)6.6299076
Kurtosis14.347427
Mean0.015742802
Median Absolute Deviation (MAD)0.037
Skewness0.29472151
Sum32.808
Variance0.010893791
MonotonicityNot monotonic
2023-12-12T19:39:52.774047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
 
1.4%
0.028 27
 
0.7%
0.026 23
 
0.6%
0.007 22
 
0.5%
0.005 21
 
0.5%
0.027 21
 
0.5%
-0.004 21
 
0.5%
0.034 20
 
0.5%
0.016 20
 
0.5%
0.038 18
 
0.4%
Other values (416) 1833
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.71 1
< 0.1%
-0.691 1
< 0.1%
-0.673 1
< 0.1%
-0.612 1
< 0.1%
-0.567 1
< 0.1%
-0.491 1
< 0.1%
-0.472 1
< 0.1%
-0.411 1
< 0.1%
-0.387 1
< 0.1%
-0.348 1
< 0.1%
ValueCountFrequency (%)
1.004 1
< 0.1%
0.96 1
< 0.1%
0.745 1
< 0.1%
0.505 1
< 0.1%
0.503 1
< 0.1%
0.497 1
< 0.1%
0.478 1
< 0.1%
0.45 1
< 0.1%
0.432 1
< 0.1%
0.405 1
< 0.1%

2023-01
Real number (ℝ)

MISSING  ZEROS 

Distinct375
Distinct (%)18.0%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean-0.012941939
Minimum-0.704
Maximum1.002
Zeros54
Zeros (%)1.3%
Negative1132
Negative (%)28.2%
Memory size35.4 KiB
2023-12-12T19:39:52.992033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.704
5-th percentile-0.13885
Q1-0.044
median-0.0055
Q30.01825
95-th percentile0.093
Maximum1.002
Range1.706
Interquartile range (IQR)0.06225

Descriptive statistics

Standard deviation0.083261055
Coefficient of variation (CV)-6.4334299
Kurtosis20.206552
Mean-0.012941939
Median Absolute Deviation (MAD)0.0295
Skewness0.79699664
Sum-26.971
Variance0.0069324033
MonotonicityNot monotonic
2023-12-12T19:39:53.218777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
1.3%
0.008 29
 
0.7%
0.01 27
 
0.7%
0.001 27
 
0.7%
0.006 26
 
0.6%
-0.022 25
 
0.6%
0.005 25
 
0.6%
0.012 24
 
0.6%
0.002 24
 
0.6%
0.007 23
 
0.6%
Other values (365) 1800
44.8%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.704 1
< 0.1%
-0.604 1
< 0.1%
-0.579 1
< 0.1%
-0.363 1
< 0.1%
-0.35 1
< 0.1%
-0.339 1
< 0.1%
-0.331 1
< 0.1%
-0.311 1
< 0.1%
-0.301 1
< 0.1%
-0.3 1
< 0.1%
ValueCountFrequency (%)
1.002 1
< 0.1%
0.564 1
< 0.1%
0.56 1
< 0.1%
0.531 1
< 0.1%
0.463 1
< 0.1%
0.391 1
< 0.1%
0.381 1
< 0.1%
0.379 1
< 0.1%
0.363 1
< 0.1%
0.34 1
< 0.1%

2023-02
Real number (ℝ)

MISSING  ZEROS 

Distinct356
Distinct (%)17.1%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean-0.0049256238
Minimum-0.405
Maximum0.83
Zeros41
Zeros (%)1.0%
Negative1092
Negative (%)27.2%
Memory size35.4 KiB
2023-12-12T19:39:53.441716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.405
5-th percentile-0.1227
Q1-0.036
median-0.002
Q30.023
95-th percentile0.10185
Maximum0.83
Range1.235
Interquartile range (IQR)0.059

Descriptive statistics

Standard deviation0.076705313
Coefficient of variation (CV)-15.57271
Kurtosis16.09886
Mean-0.0049256238
Median Absolute Deviation (MAD)0.029
Skewness1.5732338
Sum-10.265
Variance0.005883705
MonotonicityNot monotonic
2023-12-12T19:39:53.670394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.001 46
 
1.1%
0.0 41
 
1.0%
-0.005 29
 
0.7%
0.001 29
 
0.7%
0.006 28
 
0.7%
0.002 27
 
0.7%
-0.002 25
 
0.6%
0.007 24
 
0.6%
0.012 24
 
0.6%
0.013 23
 
0.6%
Other values (346) 1788
44.5%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.405 1
< 0.1%
-0.387 1
< 0.1%
-0.348 1
< 0.1%
-0.326 1
< 0.1%
-0.318 1
< 0.1%
-0.299 1
< 0.1%
-0.263 1
< 0.1%
-0.262 1
< 0.1%
-0.256 1
< 0.1%
-0.245 1
< 0.1%
ValueCountFrequency (%)
0.83 1
< 0.1%
0.681 1
< 0.1%
0.565 1
< 0.1%
0.557 1
< 0.1%
0.425 1
< 0.1%
0.414 1
< 0.1%
0.396 1
< 0.1%
0.389 1
< 0.1%
0.341 1
< 0.1%
0.329 1
< 0.1%

2023-03
Real number (ℝ)

MISSING 

Distinct358
Distinct (%)17.2%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.016674184
Minimum-0.425
Maximum1.302
Zeros32
Zeros (%)0.8%
Negative856
Negative (%)21.3%
Memory size35.4 KiB
2023-12-12T19:39:53.892233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.425
5-th percentile-0.091
Q1-0.01925
median0.007
Q30.036
95-th percentile0.13785
Maximum1.302
Range1.727
Interquartile range (IQR)0.05525

Descriptive statistics

Standard deviation0.096454541
Coefficient of variation (CV)5.7846633
Kurtosis53.347593
Mean0.016674184
Median Absolute Deviation (MAD)0.027
Skewness5.0803552
Sum34.749
Variance0.0093034785
MonotonicityNot monotonic
2023-12-12T19:39:54.143187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 32
 
0.8%
-0.006 27
 
0.7%
0.007 27
 
0.7%
0.011 27
 
0.7%
0.013 26
 
0.6%
0.024 25
 
0.6%
-0.001 25
 
0.6%
0.019 24
 
0.6%
-0.015 24
 
0.6%
-0.005 24
 
0.6%
Other values (348) 1823
45.4%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.425 1
< 0.1%
-0.35 1
< 0.1%
-0.32 1
< 0.1%
-0.306 1
< 0.1%
-0.269 1
< 0.1%
-0.227 1
< 0.1%
-0.217 1
< 0.1%
-0.213 1
< 0.1%
-0.21 1
< 0.1%
-0.209 1
< 0.1%
ValueCountFrequency (%)
1.302 2
< 0.1%
1.244 1
< 0.1%
0.793 2
< 0.1%
0.736 1
< 0.1%
0.689 2
< 0.1%
0.631 1
< 0.1%
0.562 1
< 0.1%
0.545 2
< 0.1%
0.485 1
< 0.1%
0.463 1
< 0.1%

2023-04
Real number (ℝ)

MISSING 

Distinct369
Distinct (%)17.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.02234261
Minimum-0.502
Maximum1.217
Zeros13
Zeros (%)0.3%
Negative808
Negative (%)20.1%
Memory size35.4 KiB
2023-12-12T19:39:54.352715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.502
5-th percentile-0.081
Q1-0.018
median0.011
Q30.044
95-th percentile0.1577
Maximum1.217
Range1.719
Interquartile range (IQR)0.062

Descriptive statistics

Standard deviation0.097955302
Coefficient of variation (CV)4.3842371
Kurtosis29.394144
Mean0.02234261
Median Absolute Deviation (MAD)0.03
Skewness3.5485827
Sum46.562
Variance0.0095952412
MonotonicityNot monotonic
2023-12-12T19:39:54.600353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001 29
 
0.7%
0.015 27
 
0.7%
0.019 26
 
0.6%
0.011 26
 
0.6%
0.01 25
 
0.6%
-0.001 25
 
0.6%
0.016 25
 
0.6%
0.018 24
 
0.6%
0.009 23
 
0.6%
0.014 22
 
0.5%
Other values (359) 1832
45.6%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.502 1
< 0.1%
-0.435 1
< 0.1%
-0.368 1
< 0.1%
-0.359 1
< 0.1%
-0.337 1
< 0.1%
-0.306 1
< 0.1%
-0.289 1
< 0.1%
-0.263 1
< 0.1%
-0.236 1
< 0.1%
-0.183 1
< 0.1%
ValueCountFrequency (%)
1.217 1
< 0.1%
0.977 2
< 0.1%
0.777 2
< 0.1%
0.654 1
< 0.1%
0.647 1
< 0.1%
0.639 1
< 0.1%
0.593 2
< 0.1%
0.592 2
< 0.1%
0.572 1
< 0.1%
0.557 1
< 0.1%

2023-05
Real number (ℝ)

MISSING 

Distinct415
Distinct (%)19.9%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.026706814
Minimum-0.639
Maximum1.319
Zeros17
Zeros (%)0.4%
Negative783
Negative (%)19.5%
Memory size35.4 KiB
2023-12-12T19:39:54.822024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.639
5-th percentile-0.095
Q1-0.02
median0.016
Q30.059
95-th percentile0.17985
Maximum1.319
Range1.958
Interquartile range (IQR)0.079

Descriptive statistics

Standard deviation0.11016517
Coefficient of variation (CV)4.1249837
Kurtosis23.68987
Mean0.026706814
Median Absolute Deviation (MAD)0.039
Skewness2.4195361
Sum55.657
Variance0.012136365
MonotonicityNot monotonic
2023-12-12T19:39:55.056401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.016 22
 
0.5%
-0.001 22
 
0.5%
0.03 21
 
0.5%
0.012 21
 
0.5%
0.005 21
 
0.5%
0.007 21
 
0.5%
0.021 20
 
0.5%
0.004 20
 
0.5%
0.019 20
 
0.5%
-0.011 19
 
0.5%
Other values (405) 1877
46.7%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.639 1
< 0.1%
-0.613 1
< 0.1%
-0.595 1
< 0.1%
-0.538 1
< 0.1%
-0.457 1
< 0.1%
-0.373 1
< 0.1%
-0.362 1
< 0.1%
-0.35 1
< 0.1%
-0.337 1
< 0.1%
-0.329 1
< 0.1%
ValueCountFrequency (%)
1.319 1
< 0.1%
1.029 2
< 0.1%
0.738 2
< 0.1%
0.721 2
< 0.1%
0.638 1
< 0.1%
0.634 1
< 0.1%
0.632 1
< 0.1%
0.624 1
< 0.1%
0.58 2
< 0.1%
0.557 1
< 0.1%

2023-06
Real number (ℝ)

MISSING 

Distinct389
Distinct (%)18.7%
Missing1933
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean0.031014395
Minimum-0.565
Maximum1.414
Zeros11
Zeros (%)0.3%
Negative700
Negative (%)17.4%
Memory size35.4 KiB
2023-12-12T19:39:55.282887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.565
5-th percentile-0.07885
Q1-0.014
median0.019
Q30.058
95-th percentile0.17185
Maximum1.414
Range1.979
Interquartile range (IQR)0.072

Descriptive statistics

Standard deviation0.1042151
Coefficient of variation (CV)3.3602171
Kurtosis30.614432
Mean0.031014395
Median Absolute Deviation (MAD)0.035
Skewness3.3413911
Sum64.634
Variance0.010860787
MonotonicityNot monotonic
2023-12-12T19:39:55.499369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.012 25
 
0.6%
0.015 25
 
0.6%
0.002 24
 
0.6%
0.039 23
 
0.6%
0.017 23
 
0.6%
0.006 22
 
0.5%
0.028 22
 
0.5%
-0.001 22
 
0.5%
0.033 22
 
0.5%
0.026 21
 
0.5%
Other values (379) 1855
46.2%
(Missing) 1933
48.1%
ValueCountFrequency (%)
-0.565 1
< 0.1%
-0.429 1
< 0.1%
-0.417 1
< 0.1%
-0.414 1
< 0.1%
-0.411 1
< 0.1%
-0.373 1
< 0.1%
-0.316 1
< 0.1%
-0.282 1
< 0.1%
-0.271 1
< 0.1%
-0.259 1
< 0.1%
ValueCountFrequency (%)
1.414 1
< 0.1%
0.92 2
< 0.1%
0.838 2
< 0.1%
0.707 2
< 0.1%
0.703 1
< 0.1%
0.676 1
< 0.1%
0.657 1
< 0.1%
0.642 1
< 0.1%
0.639 1
< 0.1%
0.595 1
< 0.1%

Sample

지역용도지역2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0전국주거지역-0.0130.0520.1120.1610.1630.105-0.039-0.0060.1060.2020.1760.1760.1470.1760.260.2080.170.170.1980.1770.2410.2560.190.1820.1710.1810.2080.240.1990.2560.2540.2230.2180.2580.2580.240.1920.1890.2320.2370.250.2830.2840.2670.2850.2960.2850.260.20.2590.3430.3480.4510.4540.4620.3830.3470.3080.3480.3440.3760.3670.4010.3360.3630.390.4430.4880.5210.540.50.3940.3530.2760.3230.3370.3610.3670.3840.3870.3820.3860.3840.3940.380.370.3160.2750.2970.3480.4040.3630.3370.3290.3530.3740.3520.3530.3780.3870.3750.3820.3860.3950.3960.3720.3670.3570.3220.3150.3270.3430.3550.3470.320.2820.161-0.004-0.083-0.097-0.076-0.054-0.025-0.0120.020.032
1전국상업지역0.0860.0840.0750.1110.0780.1540.0910.0340.0770.0760.1850.1180.0540.1580.0960.1440.1270.1140.1260.1010.1440.1450.1260.1560.120.1170.1820.1350.1960.1470.1540.1570.1740.1820.190.2520.1410.1560.1940.220.2240.2280.2010.2390.2140.2120.1960.1830.1660.2230.360.2960.3850.3740.3320.370.3240.2510.3070.3420.310.290.330.2860.2920.3480.440.4220.4020.4450.3980.3330.3010.2690.2950.3440.3950.3360.3970.3690.370.3770.4160.3630.3870.3290.2330.2230.2650.2940.3150.3120.3360.3140.3470.370.3160.3390.3440.380.3780.3920.3790.3780.3930.3890.4020.3640.320.3060.3220.320.3910.3550.3390.3050.2830.1810.041-0.004-0.022-0.0070.0110.0140.0580.06
2전국공업지역0.0260.0990.1010.1170.0830.1310.0690.0330.1050.1310.1150.1290.1040.1660.1970.2070.1240.1850.1870.1080.1280.170.150.1290.1430.1190.2140.1770.160.1580.210.1840.1720.1650.1960.1890.1360.1350.1530.1460.1350.1450.1170.1450.1310.1370.1820.1410.110.1740.2160.2120.2520.250.2810.230.2390.2360.2050.1920.1710.1820.2310.2180.2260.2420.1950.1980.2420.2340.1950.1430.1880.1480.1820.1830.2030.1860.1550.1580.1740.2230.2080.2110.2280.240.1920.1550.1490.1840.1690.1710.1710.1630.2180.2240.2010.2040.2420.2570.2730.2740.3050.2980.3110.320.3240.3240.2660.2760.3130.3090.3160.2990.3030.2720.2290.1740.0840.0480.0250.0250.0460.0530.070.08
3전국녹지지역0.0590.0750.1130.0940.0910.090.064-0.0010.020.0960.1210.1230.0580.0810.1280.1180.1280.1310.1350.0960.1170.1260.1170.1360.1220.1290.1270.1570.1570.1710.1790.1560.1620.190.2650.2720.1550.1590.1990.190.1870.2190.2270.190.1810.220.1770.1650.1820.1860.2760.2750.290.3140.3130.2790.2580.2760.2980.2980.2790.2280.2840.2940.3350.3170.3360.320.30.3520.3270.3170.2970.2730.2850.3110.2870.2670.2680.2730.2340.2670.2740.2650.2730.2580.2260.1990.2290.2510.2690.2630.260.2590.3040.3210.2820.2520.2870.2940.2980.3040.3230.3240.3020.2960.2960.2970.2650.2530.280.2750.2880.2780.2670.2660.230.1890.1420.0970.0540.0480.0910.0880.1030.112
4전국관리지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5전국보전관리지역0.030.030.0440.0610.0820.0250.044-0.0710.009-0.0280.0430.0480.0280.0150.0910.1410.0890.040.050.0610.0570.0750.0390.1670.0360.0790.10.10.0750.0990.1160.0990.1250.1350.1640.1960.0830.1090.1530.1330.1710.140.1620.1530.1240.1550.150.1350.1060.1260.1820.1690.2130.2640.2520.240.2680.2090.230.2120.2090.1470.2270.3290.3440.2960.2580.2480.2310.2520.2330.1910.2060.1890.1760.1690.1670.180.1840.1460.1260.140.1430.1470.140.1250.1230.1150.1390.1680.1750.1480.2450.2040.2220.2230.1920.20.2250.2290.2110.2270.2170.2110.2150.2120.2160.2190.20.180.1960.2030.1990.2030.20.1980.1680.1280.0720.031-0.022-0.0030.0180.0150.00.024
6전국생산관리지역0.0750.050.0730.0970.0740.0550.072-0.037-0.0030.0740.090.0880.0080.0960.150.130.1150.1110.0870.1050.1050.1260.1070.1440.0840.0790.1140.1380.1530.160.1540.1340.1320.1730.2220.2860.140.1340.2090.1440.160.1940.1970.1720.1750.1860.1970.1680.160.1690.2230.2330.2630.2770.2540.2640.2510.230.2690.2560.240.2110.2650.3630.2990.3710.350.3340.2560.2980.2470.2130.2320.2410.250.2320.2150.2270.1910.1770.1580.1710.1560.1620.1520.1720.1620.1350.1390.1690.1750.1960.1970.2210.2150.2030.190.1930.2270.2250.2090.2220.2220.2220.2190.2240.2310.2270.2030.2060.2180.2170.2360.2210.2170.2010.1810.140.0650.034-0.01-0.0050.0240.0230.0390.032
7전국계획관리지역0.1340.1050.1830.1410.1870.1390.1590.0010.040.1510.1460.1970.1080.0810.2120.2020.2260.1570.1810.1290.1580.2110.1770.2070.1080.1260.1760.1760.1370.2140.2130.1640.1870.2170.3050.3430.2060.1770.2520.2180.2220.2380.2480.2120.2160.2540.2660.2040.1980.2270.3030.3240.3620.3570.3440.3410.340.3040.3420.2940.2980.2760.3410.4140.3930.4190.3760.3920.3470.3740.3440.3140.2740.3010.3080.310.2880.2950.2950.2590.2350.260.2240.2390.230.2440.2160.1880.2040.2410.260.2550.2780.2610.2760.30.2560.2480.2760.3030.2870.2840.290.2990.290.290.2860.2860.2620.2580.280.2960.2940.2870.2780.2630.2280.1580.0890.0440.0020.0150.0630.0550.080.067
8전국농림지역0.0970.0510.0730.0450.029-0.037-0.005-0.051-0.0150.0760.0930.061-0.0090.0160.0520.0910.0230.0280.0530.0270.0660.0990.0630.0920.0640.0570.1250.1110.0860.1370.1270.0970.1080.1510.1730.2080.1160.1150.1840.1560.1360.1680.1930.2040.1590.1770.1760.1820.1530.1740.2830.2570.2540.2720.2780.2870.2630.2180.2620.2450.2630.2160.2620.4680.3950.4570.4210.3490.2820.3390.2830.2510.2390.2440.3050.2840.270.2460.2380.1990.2170.2240.2150.2150.2050.2310.1890.1720.1570.1850.1880.2110.2240.2540.2620.3030.2430.2520.2930.2790.2440.2620.2390.2360.2310.2320.2370.2530.2150.2240.2360.2250.2270.2180.2010.20.1760.1490.0840.04-0.0080.0170.0290.0360.0350.03
9전국자연환경보전지역0.0650.0230.0380.0690.0660.0740.072-0.006-0.0440.0780.0840.0750.010.0550.0620.0650.0640.0480.0720.0710.0680.0560.050.120.110.0930.0680.1260.0690.1710.0790.130.1280.1390.250.1220.0670.0890.1290.0660.0510.1550.090.1290.1070.1460.1310.1240.1330.1220.2360.210.2840.1350.2380.1770.1960.1830.1690.2190.2230.180.1890.2470.270.30.3120.2560.150.2020.1520.1650.1580.1480.1430.1490.2030.1570.1360.080.0940.1150.1050.1210.0990.0880.0950.0860.0970.1090.1230.0870.1250.130.1240.1410.1340.10.1410.1560.1390.1420.1560.1460.1540.1410.1410.1460.1310.1210.1420.1670.1540.1510.1470.1590.1470.1020.070.0330.0170.0080.0130.0190.0310.028
지역용도지역2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
4007제주 서귀포시녹지지역0.1040.1010.1310.1440.1880.0190.0360.0740.0130.2120.2980.3210.2880.5470.2790.3990.220.3130.3020.3650.3520.3960.4310.3250.3930.3320.1860.3680.2220.2680.3170.3980.4680.4411.7371.8431.4441.1411.1340.9620.5460.4790.4410.410.40.4040.3710.3440.40.3320.3210.5420.3460.5380.4390.5220.4170.3660.3190.3730.4290.2490.3320.3040.3190.3640.4610.660.5620.4380.240.2060.2310.0570.0340.033-0.211-0.167-0.197-0.171-0.365-0.431-0.482-0.384-0.311-0.354-0.28-0.277-0.197-0.131-0.086-0.116-0.162-0.157-0.118-0.003-0.015-0.016-0.0050.00.016-0.0050.1830.2040.2140.2030.1620.2040.2540.1910.2450.240.2890.2710.2290.2210.1230.082-0.148-0.121-0.105-0.072-0.051-0.035-0.001-0.016
4008제주 서귀포시관리지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4009제주 서귀포시보전관리지역0.00.0280.0130.0340.033-0.028-0.1030.064-0.0120.0490.070.0610.2130.1250.0420.240.070.0560.035-0.1250.2250.020.3210.2320.1340.3190.2560.0140.00.2480.3920.3730.2360.6030.4831.3030.9440.7980.8790.7370.6280.5420.30.5120.5560.5090.7210.710.4850.2820.2340.5160.1070.3940.1850.5460.2860.1660.3580.390.340.1650.1490.1820.3340.1770.3230.9560.2220.2480.0670.0540.1120.0430.031-0.023-0.151-0.144-0.143-0.118-0.572-0.358-0.629-0.33-0.247-0.209-0.283-0.299-0.173-0.163-0.082-0.291-0.162-0.276-0.184-0.139-0.128-0.09-0.0530.007-0.066-0.0790.1540.1650.044-1.0180.4760.0130.246-0.1660.260.1820.1050.0920.1710.1080.041-0.033-0.149-0.162-0.164-0.124-0.063-0.061-0.036-0.006
4010제주 서귀포시생산관리지역0.0970.0450.1040.110.057-0.093-0.094-0.016-0.0660.0870.140.1710.1120.3120.1930.1430.1510.0820.1770.2290.2570.1360.3860.00.4390.5240.180.130.0870.5490.260.4290.3660.6961.1532.2971.7440.7240.8060.4810.530.3760.5420.380.8350.5340.7660.5550.5730.3230.3080.2560.2530.5330.3860.5840.3710.2960.3170.3920.3870.2870.3430.390.3560.3960.5230.4020.4930.4090.1240.0950.250.240.0390.046-0.107-0.076-0.185-0.175-0.591-0.455-0.359-0.469-0.464-0.359-0.312-0.272-0.202-0.122-0.118-0.102-0.188-0.189-0.159-0.146-0.0730.008-0.068-0.064-0.030.0220.150.2120.1870.1850.1090.1680.2530.2040.1140.1470.230.2180.1380.1340.090.043-0.147-0.195-0.151-0.141-0.122-0.062-0.09-0.016
4011제주 서귀포시계획관리지역0.2070.1490.2390.2380.2760.01-0.0120.121-0.0520.2880.3880.4280.5370.7360.520.5690.4230.4530.2360.4640.4150.5250.3820.580.3480.4740.3490.3390.2750.3380.5030.370.3230.5112.8532.7791.81.3521.3161.0450.7550.650.4620.4340.4330.3070.3830.4020.430.5010.4510.2620.3530.5160.4340.6650.5260.5040.4170.4220.4050.3010.3750.3910.3930.4130.5120.680.6320.5110.2650.2870.2190.1090.10.162-0.131-0.007-0.015-0.144-0.31-0.33-0.526-0.318-0.266-0.272-0.293-0.27-0.207-0.118-0.113-0.121-0.157-0.144-0.1310.001-0.021-0.01-0.0090.004-0.0130.0010.1680.3360.210.3150.2760.2690.2780.270.2610.2910.3050.2970.2780.2620.1430.086-0.061-0.095-0.118-0.074-0.019-0.007-0.0010.011
4012제주 서귀포시농림지역0.00.00.00.00.00.0-0.314-0.0440.00.00.00.00.00.00.00.00.00.00.00.00.00.00.760.00.00.0-0.017-0.6720.00.00.00.00.00.4320.8130.01.8940.00.00.00.00.00.4990.00.7591.2460.772<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4013제주 서귀포시자연환경보전지역0.00.00.00.00.0090.0-0.260.00.00.00.00.1370.00.00.00.00.00.0-0.0460.00.00.00.00.00.00.00.00.8850.7590.00.00.00.00.180.00.0721.2690.00.3260.00.00.00.00.2670.00.5991.0090.00.1320.190.1050.2390.0120.5170.5350.5440.0320.0730.470.2830.2930.2320.00.00.00.00.3830.8990.1410.00.0960.00.119-0.0240.1170.0-0.0650.0-0.039-0.281-0.417-0.517-0.676-0.359-0.193-0.118-0.409-0.162-0.307-0.112-0.121-0.295-0.17-0.289-0.18-0.287-0.091-0.061-0.093-0.072-0.063-0.0980.087-0.211-0.02-0.10.071-0.028-0.0580.0260.053-0.053-0.002-0.0830.0260.0960.030.041-0.215-0.125-0.096-0.042-0.101-0.07-0.11-0.041
4014제주 서귀포시비도시지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4015제주 서귀포시준도시지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4016제주 서귀포시준농림지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>