Overview

Dataset statistics

Number of variables219
Number of observations2416
Missing cells42816
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 MiB
Average record size in memory1.9 KiB

Variable types

Text1
Numeric218

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지 거래현황의 월별 용도지역별(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068476/fileData.do

Alerts

2006-01 has 224 (9.3%) missing valuesMissing
2006-02 has 224 (9.3%) missing valuesMissing
2006-03 has 224 (9.3%) missing valuesMissing
2006-04 has 224 (9.3%) missing valuesMissing
2006-05 has 224 (9.3%) missing valuesMissing
2006-06 has 224 (9.3%) missing valuesMissing
2006-07 has 240 (9.9%) missing valuesMissing
2006-08 has 240 (9.9%) missing valuesMissing
2006-09 has 240 (9.9%) missing valuesMissing
2006-10 has 240 (9.9%) missing valuesMissing
2006-11 has 240 (9.9%) missing valuesMissing
2006-12 has 240 (9.9%) missing valuesMissing
2007-01 has 240 (9.9%) missing valuesMissing
2007-02 has 240 (9.9%) missing valuesMissing
2007-03 has 240 (9.9%) missing valuesMissing
2007-04 has 240 (9.9%) missing valuesMissing
2007-05 has 240 (9.9%) missing valuesMissing
2007-06 has 240 (9.9%) missing valuesMissing
2007-07 has 240 (9.9%) missing valuesMissing
2007-08 has 240 (9.9%) missing valuesMissing
2007-09 has 240 (9.9%) missing valuesMissing
2007-10 has 240 (9.9%) missing valuesMissing
2007-11 has 240 (9.9%) missing valuesMissing
2007-12 has 240 (9.9%) missing valuesMissing
2008-01 has 240 (9.9%) missing valuesMissing
2008-02 has 240 (9.9%) missing valuesMissing
2008-03 has 240 (9.9%) missing valuesMissing
2008-04 has 240 (9.9%) missing valuesMissing
2008-05 has 240 (9.9%) missing valuesMissing
2008-06 has 224 (9.3%) missing valuesMissing
2008-07 has 224 (9.3%) missing valuesMissing
2008-08 has 224 (9.3%) missing valuesMissing
2008-09 has 224 (9.3%) missing valuesMissing
2008-10 has 224 (9.3%) missing valuesMissing
2008-11 has 224 (9.3%) missing valuesMissing
2008-12 has 224 (9.3%) missing valuesMissing
2009-01 has 224 (9.3%) missing valuesMissing
2009-02 has 224 (9.3%) missing valuesMissing
2009-03 has 224 (9.3%) missing valuesMissing
2009-04 has 224 (9.3%) missing valuesMissing
2009-05 has 224 (9.3%) missing valuesMissing
2009-06 has 224 (9.3%) missing valuesMissing
2009-07 has 224 (9.3%) missing valuesMissing
2009-08 has 224 (9.3%) missing valuesMissing
2009-09 has 224 (9.3%) missing valuesMissing
2009-10 has 224 (9.3%) missing valuesMissing
2009-11 has 224 (9.3%) missing valuesMissing
2009-12 has 224 (9.3%) missing valuesMissing
2010-01 has 224 (9.3%) missing valuesMissing
2010-02 has 224 (9.3%) missing valuesMissing
2010-03 has 224 (9.3%) missing valuesMissing
2010-04 has 224 (9.3%) missing valuesMissing
2010-05 has 224 (9.3%) missing valuesMissing
2010-06 has 224 (9.3%) missing valuesMissing
2010-07 has 200 (8.3%) missing valuesMissing
2010-08 has 200 (8.3%) missing valuesMissing
2010-09 has 200 (8.3%) missing valuesMissing
2010-10 has 200 (8.3%) missing valuesMissing
2010-11 has 200 (8.3%) missing valuesMissing
2010-12 has 200 (8.3%) missing valuesMissing
2011-01 has 200 (8.3%) missing valuesMissing
2011-02 has 200 (8.3%) missing valuesMissing
2011-03 has 200 (8.3%) missing valuesMissing
2011-04 has 200 (8.3%) missing valuesMissing
2011-05 has 200 (8.3%) missing valuesMissing
2011-06 has 200 (8.3%) missing valuesMissing
2011-07 has 200 (8.3%) missing valuesMissing
2011-08 has 200 (8.3%) missing valuesMissing
2011-09 has 200 (8.3%) missing valuesMissing
2011-10 has 200 (8.3%) missing valuesMissing
2011-11 has 200 (8.3%) missing valuesMissing
2011-12 has 200 (8.3%) missing valuesMissing
2012-01 has 200 (8.3%) missing valuesMissing
2012-02 has 200 (8.3%) missing valuesMissing
2012-03 has 200 (8.3%) missing valuesMissing
2012-04 has 200 (8.3%) missing valuesMissing
2012-05 has 200 (8.3%) missing valuesMissing
2012-06 has 200 (8.3%) missing valuesMissing
2012-07 has 192 (7.9%) missing valuesMissing
2012-08 has 192 (7.9%) missing valuesMissing
2012-09 has 192 (7.9%) missing valuesMissing
2012-10 has 192 (7.9%) missing valuesMissing
2012-11 has 192 (7.9%) missing valuesMissing
2012-12 has 192 (7.9%) missing valuesMissing
2013-01 has 192 (7.9%) missing valuesMissing
2013-02 has 192 (7.9%) missing valuesMissing
2013-03 has 192 (7.9%) missing valuesMissing
2013-04 has 192 (7.9%) missing valuesMissing
2013-05 has 192 (7.9%) missing valuesMissing
2013-06 has 192 (7.9%) missing valuesMissing
2013-07 has 192 (7.9%) missing valuesMissing
2013-08 has 192 (7.9%) missing valuesMissing
2013-09 has 184 (7.6%) missing valuesMissing
2013-10 has 192 (7.9%) missing valuesMissing
2013-11 has 192 (7.9%) missing valuesMissing
2013-12 has 192 (7.9%) missing valuesMissing
2014-01 has 192 (7.9%) missing valuesMissing
2014-02 has 192 (7.9%) missing valuesMissing
2014-03 has 192 (7.9%) missing valuesMissing
2014-04 has 192 (7.9%) missing valuesMissing
2014-05 has 192 (7.9%) missing valuesMissing
2014-06 has 192 (7.9%) missing valuesMissing
2014-07 has 184 (7.6%) missing valuesMissing
2014-08 has 184 (7.6%) missing valuesMissing
2014-09 has 184 (7.6%) missing valuesMissing
2014-10 has 184 (7.6%) missing valuesMissing
2014-11 has 184 (7.6%) missing valuesMissing
2014-12 has 184 (7.6%) missing valuesMissing
2015-01 has 184 (7.6%) missing valuesMissing
2015-02 has 184 (7.6%) missing valuesMissing
2015-03 has 184 (7.6%) missing valuesMissing
2015-04 has 184 (7.6%) missing valuesMissing
2015-05 has 184 (7.6%) missing valuesMissing
2015-06 has 184 (7.6%) missing valuesMissing
2015-07 has 160 (6.6%) missing valuesMissing
2015-08 has 160 (6.6%) missing valuesMissing
2015-09 has 160 (6.6%) missing valuesMissing
2015-10 has 160 (6.6%) missing valuesMissing
2015-11 has 160 (6.6%) missing valuesMissing
2015-12 has 160 (6.6%) missing valuesMissing
2016-01 has 160 (6.6%) missing valuesMissing
2016-02 has 160 (6.6%) missing valuesMissing
2016-03 has 160 (6.6%) missing valuesMissing
2016-04 has 160 (6.6%) missing valuesMissing
2016-05 has 160 (6.6%) missing valuesMissing
2016-06 has 160 (6.6%) missing valuesMissing
2016-07 has 184 (7.6%) missing valuesMissing
2016-08 has 160 (6.6%) missing valuesMissing
2016-09 has 160 (6.6%) missing valuesMissing
2016-10 has 184 (7.6%) missing valuesMissing
2016-11 has 184 (7.6%) missing valuesMissing
2016-12 has 184 (7.6%) missing valuesMissing
2017-01 has 184 (7.6%) missing valuesMissing
2017-02 has 184 (7.6%) missing valuesMissing
2017-03 has 184 (7.6%) missing valuesMissing
2017-04 has 184 (7.6%) missing valuesMissing
2017-05 has 184 (7.6%) missing valuesMissing
2017-06 has 184 (7.6%) missing valuesMissing
2017-07 has 184 (7.6%) missing valuesMissing
2017-08 has 184 (7.6%) missing valuesMissing
2017-09 has 184 (7.6%) missing valuesMissing
2017-10 has 184 (7.6%) missing valuesMissing
2017-11 has 184 (7.6%) missing valuesMissing
2017-12 has 184 (7.6%) missing valuesMissing
2018-01 has 184 (7.6%) missing valuesMissing
2018-02 has 184 (7.6%) missing valuesMissing
2018-03 has 184 (7.6%) missing valuesMissing
2018-04 has 184 (7.6%) missing valuesMissing
2018-05 has 184 (7.6%) missing valuesMissing
2018-06 has 184 (7.6%) missing valuesMissing
2018-07 has 176 (7.3%) missing valuesMissing
2018-08 has 184 (7.6%) missing valuesMissing
2018-09 has 184 (7.6%) missing valuesMissing
2018-10 has 184 (7.6%) missing valuesMissing
2018-11 has 184 (7.6%) missing valuesMissing
2018-12 has 184 (7.6%) missing valuesMissing
2019-01 has 184 (7.6%) missing valuesMissing
2019-02 has 184 (7.6%) missing valuesMissing
2019-03 has 184 (7.6%) missing valuesMissing
2019-04 has 184 (7.6%) missing valuesMissing
2019-05 has 184 (7.6%) missing valuesMissing
2019-06 has 184 (7.6%) missing valuesMissing
2019-07 has 184 (7.6%) missing valuesMissing
2019-08 has 184 (7.6%) missing valuesMissing
2019-09 has 184 (7.6%) missing valuesMissing
2019-10 has 184 (7.6%) missing valuesMissing
2019-11 has 184 (7.6%) missing valuesMissing
2019-12 has 184 (7.6%) missing valuesMissing
2020-01 has 184 (7.6%) missing valuesMissing
2020-02 has 184 (7.6%) missing valuesMissing
2020-03 has 184 (7.6%) missing valuesMissing
2020-04 has 184 (7.6%) missing valuesMissing
2020-05 has 184 (7.6%) missing valuesMissing
2020-06 has 184 (7.6%) missing valuesMissing
2020-07 has 184 (7.6%) missing valuesMissing
2020-08 has 184 (7.6%) missing valuesMissing
2020-09 has 184 (7.6%) missing valuesMissing
2020-10 has 184 (7.6%) missing valuesMissing
2020-11 has 184 (7.6%) missing valuesMissing
2020-12 has 184 (7.6%) missing valuesMissing
2021-01 has 184 (7.6%) missing valuesMissing
2021-02 has 184 (7.6%) missing valuesMissing
2021-03 has 184 (7.6%) missing valuesMissing
2021-04 has 184 (7.6%) missing valuesMissing
2021-05 has 184 (7.6%) missing valuesMissing
2021-06 has 184 (7.6%) missing valuesMissing
2021-07 has 184 (7.6%) missing valuesMissing
2021-08 has 184 (7.6%) missing valuesMissing
2021-09 has 184 (7.6%) missing valuesMissing
2021-10 has 184 (7.6%) missing valuesMissing
2021-11 has 184 (7.6%) missing valuesMissing
2021-12 has 184 (7.6%) missing valuesMissing
2022-01 has 184 (7.6%) missing valuesMissing
2022-02 has 184 (7.6%) missing valuesMissing
2022-03 has 184 (7.6%) missing valuesMissing
2022-04 has 184 (7.6%) missing valuesMissing
2022-05 has 184 (7.6%) missing valuesMissing
2022-06 has 184 (7.6%) missing valuesMissing
2022-07 has 184 (7.6%) missing valuesMissing
2022-08 has 184 (7.6%) missing valuesMissing
2022-09 has 184 (7.6%) missing valuesMissing
2022-10 has 184 (7.6%) missing valuesMissing
2022-11 has 184 (7.6%) missing valuesMissing
2022-12 has 184 (7.6%) missing valuesMissing
2023-01 has 184 (7.6%) missing valuesMissing
2023-02 has 184 (7.6%) missing valuesMissing
2023-03 has 184 (7.6%) missing valuesMissing
2023-04 has 184 (7.6%) missing valuesMissing
2023-05 has 184 (7.6%) missing valuesMissing
2023-06 has 184 (7.6%) missing valuesMissing
2023-07 has 184 (7.6%) missing valuesMissing
2023-08 has 184 (7.6%) missing valuesMissing
2023-09 has 184 (7.6%) missing valuesMissing
2023-10 has 184 (7.6%) missing valuesMissing
2023-11 has 184 (7.6%) missing valuesMissing
2023-12 has 184 (7.6%) missing valuesMissing
2024-01 has 160 (6.6%) missing valuesMissing
2024-02 has 160 (6.6%) missing valuesMissing
2006-01 is highly skewed (γ1 = 23.56698673)Skewed
2006-02 is highly skewed (γ1 = 26.35054248)Skewed
2006-03 is highly skewed (γ1 = 30.50538977)Skewed
2006-04 is highly skewed (γ1 = 33.20682256)Skewed
2006-05 is highly skewed (γ1 = 32.17184811)Skewed
2006-06 is highly skewed (γ1 = 30.60966272)Skewed
2006-07 is highly skewed (γ1 = 30.4753183)Skewed
2006-08 is highly skewed (γ1 = 30.01059752)Skewed
2006-09 is highly skewed (γ1 = 22.30593)Skewed
2006-10 is highly skewed (γ1 = 30.71568803)Skewed
2006-11 is highly skewed (γ1 = 31.10079486)Skewed
2006-12 is highly skewed (γ1 = 27.14272209)Skewed
2007-01 is highly skewed (γ1 = 29.08480447)Skewed
2007-02 is highly skewed (γ1 = 31.14116808)Skewed
2007-03 is highly skewed (γ1 = 32.19218368)Skewed
2007-04 is highly skewed (γ1 = 31.49239458)Skewed
2007-05 is highly skewed (γ1 = 31.89240327)Skewed
2007-06 is highly skewed (γ1 = 33.6473382)Skewed
2007-07 is highly skewed (γ1 = 32.07212753)Skewed
2007-08 is highly skewed (γ1 = 30.98892084)Skewed
2007-09 is highly skewed (γ1 = 30.33249489)Skewed
2007-10 is highly skewed (γ1 = 31.9820418)Skewed
2007-11 is highly skewed (γ1 = 30.57627555)Skewed
2007-12 is highly skewed (γ1 = 30.78625443)Skewed
2008-01 is highly skewed (γ1 = 30.09895018)Skewed
2008-02 is highly skewed (γ1 = 31.37533872)Skewed
2008-03 is highly skewed (γ1 = 31.80198113)Skewed
2008-04 is highly skewed (γ1 = 29.67687523)Skewed
2008-05 is highly skewed (γ1 = 30.62323553)Skewed
2008-06 is highly skewed (γ1 = 30.63584309)Skewed
2008-07 is highly skewed (γ1 = 30.40730659)Skewed
2008-08 is highly skewed (γ1 = 33.14051327)Skewed
2008-09 is highly skewed (γ1 = 33.87099926)Skewed
2008-10 is highly skewed (γ1 = 34.76626127)Skewed
2008-11 is highly skewed (γ1 = 32.91277607)Skewed
2008-12 is highly skewed (γ1 = 34.12331351)Skewed
2009-01 is highly skewed (γ1 = 32.07478222)Skewed
2009-02 is highly skewed (γ1 = 34.33224392)Skewed
2009-03 is highly skewed (γ1 = 36.31380398)Skewed
2009-04 is highly skewed (γ1 = 34.50240557)Skewed
2009-05 is highly skewed (γ1 = 34.42538425)Skewed
2009-06 is highly skewed (γ1 = 35.36389945)Skewed
2009-07 is highly skewed (γ1 = 34.41844245)Skewed
2009-08 is highly skewed (γ1 = 34.9908947)Skewed
2009-09 is highly skewed (γ1 = 34.21615559)Skewed
2009-10 is highly skewed (γ1 = 32.92546081)Skewed
2009-11 is highly skewed (γ1 = 29.92222235)Skewed
2009-12 is highly skewed (γ1 = 34.1208772)Skewed
2010-01 is highly skewed (γ1 = 32.44272104)Skewed
2010-02 is highly skewed (γ1 = 34.44464578)Skewed
2010-03 is highly skewed (γ1 = 35.64674802)Skewed
2010-04 is highly skewed (γ1 = 35.49387475)Skewed
2010-05 is highly skewed (γ1 = 33.13066447)Skewed
2010-06 is highly skewed (γ1 = 33.02545094)Skewed
2010-07 is highly skewed (γ1 = 32.82044608)Skewed
2010-08 is highly skewed (γ1 = 32.84975403)Skewed
2010-09 is highly skewed (γ1 = 31.55627095)Skewed
2010-10 is highly skewed (γ1 = 33.47624512)Skewed
2010-11 is highly skewed (γ1 = 34.70186417)Skewed
2010-12 is highly skewed (γ1 = 32.1356932)Skewed
2011-01 is highly skewed (γ1 = 32.43206243)Skewed
2011-02 is highly skewed (γ1 = 34.41172656)Skewed
2011-03 is highly skewed (γ1 = 32.03147279)Skewed
2011-04 is highly skewed (γ1 = 34.88369521)Skewed
2011-05 is highly skewed (γ1 = 34.64083579)Skewed
2011-06 is highly skewed (γ1 = 34.8631092)Skewed
2011-07 is highly skewed (γ1 = 32.80164743)Skewed
2011-08 is highly skewed (γ1 = 33.36625997)Skewed
2011-09 is highly skewed (γ1 = 32.60879824)Skewed
2011-10 is highly skewed (γ1 = 33.16958696)Skewed
2011-11 is highly skewed (γ1 = 31.90896786)Skewed
2011-12 is highly skewed (γ1 = 32.02384873)Skewed
2012-01 is highly skewed (γ1 = 34.18743234)Skewed
2012-02 is highly skewed (γ1 = 31.19411009)Skewed
2012-03 is highly skewed (γ1 = 34.97361107)Skewed
2012-04 is highly skewed (γ1 = 30.91362747)Skewed
2012-05 is highly skewed (γ1 = 34.27672346)Skewed
2012-06 is highly skewed (γ1 = 34.53304664)Skewed
2012-07 is highly skewed (γ1 = 32.17309294)Skewed
2012-08 is highly skewed (γ1 = 31.17251921)Skewed
2012-09 is highly skewed (γ1 = 28.45661508)Skewed
2012-10 is highly skewed (γ1 = 30.41556732)Skewed
2012-11 is highly skewed (γ1 = 32.64624481)Skewed
2012-12 is highly skewed (γ1 = 30.63004812)Skewed
2013-01 is highly skewed (γ1 = 32.7963282)Skewed
2013-02 is highly skewed (γ1 = 33.0158116)Skewed
2013-03 is highly skewed (γ1 = 33.98428811)Skewed
2013-04 is highly skewed (γ1 = 33.45512856)Skewed
2013-05 is highly skewed (γ1 = 33.99075275)Skewed
2013-06 is highly skewed (γ1 = 32.51192965)Skewed
2013-07 is highly skewed (γ1 = 32.49460824)Skewed
2013-08 is highly skewed (γ1 = 31.42140693)Skewed
2013-09 is highly skewed (γ1 = 31.84306465)Skewed
2013-10 is highly skewed (γ1 = 31.34886226)Skewed
2013-11 is highly skewed (γ1 = 30.83307105)Skewed
2013-12 is highly skewed (γ1 = 30.75932278)Skewed
2014-01 is highly skewed (γ1 = 29.85332223)Skewed
2014-02 is highly skewed (γ1 = 32.18031863)Skewed
2014-03 is highly skewed (γ1 = 33.17719964)Skewed
2014-04 is highly skewed (γ1 = 30.92092548)Skewed
2014-05 is highly skewed (γ1 = 31.32006255)Skewed
2014-06 is highly skewed (γ1 = 31.27617871)Skewed
2014-07 is highly skewed (γ1 = 32.08520135)Skewed
2014-08 is highly skewed (γ1 = 30.73676596)Skewed
2014-09 is highly skewed (γ1 = 27.75433524)Skewed
2014-10 is highly skewed (γ1 = 29.73567089)Skewed
2014-11 is highly skewed (γ1 = 26.40730167)Skewed
2014-12 is highly skewed (γ1 = 28.62398994)Skewed
2015-01 is highly skewed (γ1 = 28.93821557)Skewed
2015-02 is highly skewed (γ1 = 30.84407019)Skewed
2015-03 is highly skewed (γ1 = 32.88552452)Skewed
2015-04 is highly skewed (γ1 = 32.35268429)Skewed
2015-05 is highly skewed (γ1 = 29.9510183)Skewed
2015-06 is highly skewed (γ1 = 29.17821457)Skewed
2015-07 is highly skewed (γ1 = 26.34188154)Skewed
2015-08 is highly skewed (γ1 = 30.59817515)Skewed
2015-09 is highly skewed (γ1 = 31.0744954)Skewed
2015-10 is highly skewed (γ1 = 30.54463646)Skewed
2015-11 is highly skewed (γ1 = 31.37309971)Skewed
2015-12 is highly skewed (γ1 = 31.50640848)Skewed
2016-01 is highly skewed (γ1 = 29.61705726)Skewed
2016-02 is highly skewed (γ1 = 32.4862011)Skewed
2016-03 is highly skewed (γ1 = 31.1405849)Skewed
2016-04 is highly skewed (γ1 = 31.13461809)Skewed
2016-05 is highly skewed (γ1 = 22.96971687)Skewed
2016-06 is highly skewed (γ1 = 31.64888803)Skewed
2016-07 is highly skewed (γ1 = 22.03718427)Skewed
2016-08 is highly skewed (γ1 = 28.91981669)Skewed
2016-09 is highly skewed (γ1 = 29.68167741)Skewed
2016-10 is highly skewed (γ1 = 30.17672745)Skewed
2016-11 is highly skewed (γ1 = 27.44837631)Skewed
2016-12 is highly skewed (γ1 = 28.33002117)Skewed
2017-01 is highly skewed (γ1 = 29.21000688)Skewed
2017-02 is highly skewed (γ1 = 29.72475319)Skewed
2017-03 is highly skewed (γ1 = 31.96154715)Skewed
2017-04 is highly skewed (γ1 = 32.66323975)Skewed
2017-05 is highly skewed (γ1 = 32.31238356)Skewed
2017-06 is highly skewed (γ1 = 33.21464247)Skewed
2017-07 is highly skewed (γ1 = 30.19518216)Skewed
2017-08 is highly skewed (γ1 = 31.78989434)Skewed
2017-09 is highly skewed (γ1 = 30.52640026)Skewed
2017-10 is highly skewed (γ1 = 32.13611655)Skewed
2017-11 is highly skewed (γ1 = 31.04664954)Skewed
2017-12 is highly skewed (γ1 = 31.62088704)Skewed
2018-01 is highly skewed (γ1 = 31.52692449)Skewed
2018-02 is highly skewed (γ1 = 33.40337637)Skewed
2018-03 is highly skewed (γ1 = 33.13766979)Skewed
2018-04 is highly skewed (γ1 = 32.30732918)Skewed
2018-05 is highly skewed (γ1 = 32.25785992)Skewed
2018-06 is highly skewed (γ1 = 32.15824628)Skewed
2018-07 is highly skewed (γ1 = 31.0385443)Skewed
2018-08 is highly skewed (γ1 = 29.85969706)Skewed
2018-09 is highly skewed (γ1 = 30.46555532)Skewed
2018-10 is highly skewed (γ1 = 30.71914565)Skewed
2018-11 is highly skewed (γ1 = 30.68645313)Skewed
2018-12 is highly skewed (γ1 = 30.73305684)Skewed
2019-01 is highly skewed (γ1 = 29.48135783)Skewed
2019-02 is highly skewed (γ1 = 32.17050566)Skewed
2019-03 is highly skewed (γ1 = 32.42507161)Skewed
2019-04 is highly skewed (γ1 = 30.84444446)Skewed
2019-05 is highly skewed (γ1 = 30.69633271)Skewed
2019-06 is highly skewed (γ1 = 31.67531486)Skewed
2019-07 is highly skewed (γ1 = 30.30048118)Skewed
2019-08 is highly skewed (γ1 = 30.63137532)Skewed
2019-09 is highly skewed (γ1 = 30.62204896)Skewed
2019-10 is highly skewed (γ1 = 30.44626747)Skewed
2019-11 is highly skewed (γ1 = 29.58873852)Skewed
2019-12 is highly skewed (γ1 = 30.87624221)Skewed
2020-01 is highly skewed (γ1 = 28.29391522)Skewed
2020-02 is highly skewed (γ1 = 29.11667051)Skewed
2020-03 is highly skewed (γ1 = 31.55934327)Skewed
2020-04 is highly skewed (γ1 = 24.69802571)Skewed
2020-05 is highly skewed (γ1 = 31.2324251)Skewed
2020-06 is highly skewed (γ1 = 29.29599868)Skewed
2020-07 is highly skewed (γ1 = 28.17120157)Skewed
2020-08 is highly skewed (γ1 = 29.47347446)Skewed
2020-09 is highly skewed (γ1 = 21.2176351)Skewed
2020-10 is highly skewed (γ1 = 28.90539513)Skewed
2020-11 is highly skewed (γ1 = 30.37474829)Skewed
2020-12 is highly skewed (γ1 = 28.87871707)Skewed
2021-01 is highly skewed (γ1 = 27.91665045)Skewed
2021-02 is highly skewed (γ1 = 30.204279)Skewed
2021-03 is highly skewed (γ1 = 31.73363669)Skewed
2021-04 is highly skewed (γ1 = 30.49803543)Skewed
2021-05 is highly skewed (γ1 = 26.85841897)Skewed
2021-06 is highly skewed (γ1 = 29.88185695)Skewed
2021-07 is highly skewed (γ1 = 28.47839099)Skewed
2021-08 is highly skewed (γ1 = 29.14314898)Skewed
2021-09 is highly skewed (γ1 = 28.77074396)Skewed
2021-10 is highly skewed (γ1 = 29.36538502)Skewed
2021-11 is highly skewed (γ1 = 30.56394492)Skewed
2021-12 is highly skewed (γ1 = 29.95562335)Skewed
2022-01 is highly skewed (γ1 = 28.6417156)Skewed
2022-02 is highly skewed (γ1 = 32.46033782)Skewed
2022-03 is highly skewed (γ1 = 32.5276594)Skewed
2022-04 is highly skewed (γ1 = 30.21982262)Skewed
2022-05 is highly skewed (γ1 = 30.41110255)Skewed
2022-06 is highly skewed (γ1 = 29.8122252)Skewed
2022-07 is highly skewed (γ1 = 28.82281793)Skewed
2022-08 is highly skewed (γ1 = 30.60643222)Skewed
2022-09 is highly skewed (γ1 = 31.05237848)Skewed
2022-10 is highly skewed (γ1 = 32.67840052)Skewed
2022-11 is highly skewed (γ1 = 32.45456107)Skewed
2022-12 is highly skewed (γ1 = 31.17292798)Skewed
2023-01 is highly skewed (γ1 = 30.46515964)Skewed
2023-02 is highly skewed (γ1 = 33.26358554)Skewed
2023-03 is highly skewed (γ1 = 33.35604315)Skewed
2023-04 is highly skewed (γ1 = 34.57141265)Skewed
2023-05 is highly skewed (γ1 = 32.62836486)Skewed
2023-06 is highly skewed (γ1 = 26.01832456)Skewed
2023-07 is highly skewed (γ1 = 28.530774)Skewed
2023-08 is highly skewed (γ1 = 30.06144181)Skewed
2023-09 is highly skewed (γ1 = 30.83582115)Skewed
2023-10 is highly skewed (γ1 = 31.7144005)Skewed
2023-11 is highly skewed (γ1 = 31.01486725)Skewed
2023-12 is highly skewed (γ1 = 31.39341042)Skewed
2024-01 is highly skewed (γ1 = 30.39966761)Skewed
2024-02 is highly skewed (γ1 = 34.24748604)Skewed
지역 has unique valuesUnique
2006-01 has 968 (40.1%) zerosZeros
2006-02 has 964 (39.9%) zerosZeros
2006-03 has 916 (37.9%) zerosZeros
2006-04 has 919 (38.0%) zerosZeros
2006-05 has 889 (36.8%) zerosZeros
2006-06 has 925 (38.3%) zerosZeros
2006-07 has 949 (39.3%) zerosZeros
2006-08 has 931 (38.5%) zerosZeros
2006-09 has 917 (38.0%) zerosZeros
2006-10 has 932 (38.6%) zerosZeros
2006-11 has 881 (36.5%) zerosZeros
2006-12 has 819 (33.9%) zerosZeros
2007-01 has 933 (38.6%) zerosZeros
2007-02 has 941 (38.9%) zerosZeros
2007-03 has 891 (36.9%) zerosZeros
2007-04 has 903 (37.4%) zerosZeros
2007-05 has 890 (36.8%) zerosZeros
2007-06 has 912 (37.7%) zerosZeros
2007-07 has 935 (38.7%) zerosZeros
2007-08 has 934 (38.7%) zerosZeros
2007-09 has 977 (40.4%) zerosZeros
2007-10 has 902 (37.3%) zerosZeros
2007-11 has 899 (37.2%) zerosZeros
2007-12 has 904 (37.4%) zerosZeros
2008-01 has 931 (38.5%) zerosZeros
2008-02 has 971 (40.2%) zerosZeros
2008-03 has 921 (38.1%) zerosZeros
2008-04 has 901 (37.3%) zerosZeros
2008-05 has 877 (36.3%) zerosZeros
2008-06 has 904 (37.4%) zerosZeros
2008-07 has 910 (37.7%) zerosZeros
2008-08 has 955 (39.5%) zerosZeros
2008-09 has 925 (38.3%) zerosZeros
2008-10 has 918 (38.0%) zerosZeros
2008-11 has 974 (40.3%) zerosZeros
2008-12 has 942 (39.0%) zerosZeros
2009-01 has 977 (40.4%) zerosZeros
2009-02 has 957 (39.6%) zerosZeros
2009-03 has 899 (37.2%) zerosZeros
2009-04 has 906 (37.5%) zerosZeros
2009-05 has 917 (38.0%) zerosZeros
2009-06 has 876 (36.3%) zerosZeros
2009-07 has 905 (37.5%) zerosZeros
2009-08 has 898 (37.2%) zerosZeros
2009-09 has 878 (36.3%) zerosZeros
2009-10 has 900 (37.3%) zerosZeros
2009-11 has 896 (37.1%) zerosZeros
2009-12 has 860 (35.6%) zerosZeros
2010-01 has 942 (39.0%) zerosZeros
2010-02 has 931 (38.5%) zerosZeros
2010-03 has 890 (36.8%) zerosZeros
2010-04 has 887 (36.7%) zerosZeros
2010-05 has 921 (38.1%) zerosZeros
2010-06 has 883 (36.5%) zerosZeros
2010-07 has 924 (38.2%) zerosZeros
2010-08 has 929 (38.5%) zerosZeros
2010-09 has 956 (39.6%) zerosZeros
2010-10 has 926 (38.3%) zerosZeros
2010-11 has 914 (37.8%) zerosZeros
2010-12 has 882 (36.5%) zerosZeros
2011-01 has 940 (38.9%) zerosZeros
2011-02 has 955 (39.5%) zerosZeros
2011-03 has 889 (36.8%) zerosZeros
2011-04 has 875 (36.2%) zerosZeros
2011-05 has 893 (37.0%) zerosZeros
2011-06 has 907 (37.5%) zerosZeros
2011-07 has 918 (38.0%) zerosZeros
2011-08 has 920 (38.1%) zerosZeros
2011-09 has 925 (38.3%) zerosZeros
2011-10 has 909 (37.6%) zerosZeros
2011-11 has 900 (37.3%) zerosZeros
2011-12 has 905 (37.5%) zerosZeros
2012-01 has 950 (39.3%) zerosZeros
2012-02 has 920 (38.1%) zerosZeros
2012-03 has 904 (37.4%) zerosZeros
2012-04 has 919 (38.0%) zerosZeros
2012-05 has 892 (36.9%) zerosZeros
2012-06 has 938 (38.8%) zerosZeros
2012-07 has 906 (37.5%) zerosZeros
2012-08 has 938 (38.8%) zerosZeros
2012-09 has 939 (38.9%) zerosZeros
2012-10 has 923 (38.2%) zerosZeros
2012-11 has 908 (37.6%) zerosZeros
2012-12 has 933 (38.6%) zerosZeros
2013-01 has 938 (38.8%) zerosZeros
2013-02 has 955 (39.5%) zerosZeros
2013-03 has 907 (37.5%) zerosZeros
2013-04 has 874 (36.2%) zerosZeros
2013-05 has 874 (36.2%) zerosZeros
2013-06 has 900 (37.3%) zerosZeros
2013-07 has 890 (36.8%) zerosZeros
2013-08 has 910 (37.7%) zerosZeros
2013-09 has 946 (39.2%) zerosZeros
2013-10 has 915 (37.9%) zerosZeros
2013-11 has 924 (38.2%) zerosZeros
2013-12 has 871 (36.1%) zerosZeros
2014-01 has 904 (37.4%) zerosZeros
2014-02 has 886 (36.7%) zerosZeros
2014-03 has 841 (34.8%) zerosZeros
2014-04 has 855 (35.4%) zerosZeros
2014-05 has 884 (36.6%) zerosZeros
2014-06 has 858 (35.5%) zerosZeros
2014-07 has 867 (35.9%) zerosZeros
2014-08 has 868 (35.9%) zerosZeros
2014-09 has 895 (37.0%) zerosZeros
2014-10 has 869 (36.0%) zerosZeros
2014-11 has 863 (35.7%) zerosZeros
2014-12 has 848 (35.1%) zerosZeros
2015-01 has 912 (37.7%) zerosZeros
2015-02 has 909 (37.6%) zerosZeros
2015-03 has 847 (35.1%) zerosZeros
2015-04 has 840 (34.8%) zerosZeros
2015-05 has 863 (35.7%) zerosZeros
2015-06 has 833 (34.5%) zerosZeros
2015-07 has 853 (35.3%) zerosZeros
2015-08 has 878 (36.3%) zerosZeros
2015-09 has 884 (36.6%) zerosZeros
2015-10 has 854 (35.3%) zerosZeros
2015-11 has 846 (35.0%) zerosZeros
2015-12 has 842 (34.9%) zerosZeros
2016-01 has 908 (37.6%) zerosZeros
2016-02 has 919 (38.0%) zerosZeros
2016-03 has 870 (36.0%) zerosZeros
2016-04 has 862 (35.7%) zerosZeros
2016-05 has 860 (35.6%) zerosZeros
2016-06 has 859 (35.6%) zerosZeros
2016-07 has 852 (35.3%) zerosZeros
2016-08 has 898 (37.2%) zerosZeros
2016-09 has 903 (37.4%) zerosZeros
2016-10 has 865 (35.8%) zerosZeros
2016-11 has 854 (35.3%) zerosZeros
2016-12 has 846 (35.0%) zerosZeros
2017-01 has 849 (35.1%) zerosZeros
2017-02 has 838 (34.7%) zerosZeros
2017-03 has 799 (33.1%) zerosZeros
2017-04 has 797 (33.0%) zerosZeros
2017-05 has 798 (33.0%) zerosZeros
2017-06 has 793 (32.8%) zerosZeros
2017-07 has 806 (33.4%) zerosZeros
2017-08 has 812 (33.6%) zerosZeros
2017-09 has 805 (33.3%) zerosZeros
2017-10 has 835 (34.6%) zerosZeros
2017-11 has 808 (33.4%) zerosZeros
2017-12 has 779 (32.2%) zerosZeros
2018-01 has 814 (33.7%) zerosZeros
2018-02 has 839 (34.7%) zerosZeros
2018-03 has 815 (33.7%) zerosZeros
2018-04 has 820 (33.9%) zerosZeros
2018-05 has 829 (34.3%) zerosZeros
2018-06 has 830 (34.4%) zerosZeros
2018-07 has 837 (34.6%) zerosZeros
2018-08 has 847 (35.1%) zerosZeros
2018-09 has 873 (36.1%) zerosZeros
2018-10 has 813 (33.7%) zerosZeros
2018-11 has 832 (34.4%) zerosZeros
2018-12 has 823 (34.1%) zerosZeros
2019-01 has 857 (35.5%) zerosZeros
2019-02 has 883 (36.5%) zerosZeros
2019-03 has 830 (34.4%) zerosZeros
2019-04 has 839 (34.7%) zerosZeros
2019-05 has 813 (33.7%) zerosZeros
2019-06 has 840 (34.8%) zerosZeros
2019-07 has 855 (35.4%) zerosZeros
2019-08 has 866 (35.8%) zerosZeros
2019-09 has 899 (37.2%) zerosZeros
2019-10 has 860 (35.6%) zerosZeros
2019-11 has 857 (35.5%) zerosZeros
2019-12 has 832 (34.4%) zerosZeros
2020-01 has 866 (35.8%) zerosZeros
2020-02 has 832 (34.4%) zerosZeros
2020-03 has 805 (33.3%) zerosZeros
2020-04 has 844 (34.9%) zerosZeros
2020-05 has 830 (34.4%) zerosZeros
2020-06 has 828 (34.3%) zerosZeros
2020-07 has 800 (33.1%) zerosZeros
2020-08 has 850 (35.2%) zerosZeros
2020-09 has 843 (34.9%) zerosZeros
2020-10 has 849 (35.1%) zerosZeros
2020-11 has 817 (33.8%) zerosZeros
2020-12 has 789 (32.7%) zerosZeros
2021-01 has 836 (34.6%) zerosZeros
2021-02 has 854 (35.3%) zerosZeros
2021-03 has 796 (32.9%) zerosZeros
2021-04 has 785 (32.5%) zerosZeros
2021-05 has 801 (33.2%) zerosZeros
2021-06 has 808 (33.4%) zerosZeros
2021-07 has 842 (34.9%) zerosZeros
2021-08 has 838 (34.7%) zerosZeros
2021-09 has 878 (36.3%) zerosZeros
2021-10 has 857 (35.5%) zerosZeros
2021-11 has 842 (34.9%) zerosZeros
2021-12 has 834 (34.5%) zerosZeros
2022-01 has 878 (36.3%) zerosZeros
2022-02 has 902 (37.3%) zerosZeros
2022-03 has 871 (36.1%) zerosZeros
2022-04 has 877 (36.3%) zerosZeros
2022-05 has 858 (35.5%) zerosZeros
2022-06 has 874 (36.2%) zerosZeros
2022-07 has 914 (37.8%) zerosZeros
2022-08 has 917 (38.0%) zerosZeros
2022-09 has 931 (38.5%) zerosZeros
2022-10 has 969 (40.1%) zerosZeros
2022-11 has 938 (38.8%) zerosZeros
2022-12 has 932 (38.6%) zerosZeros
2023-01 has 1010 (41.8%) zerosZeros
2023-02 has 988 (40.9%) zerosZeros
2023-03 has 938 (38.8%) zerosZeros
2023-04 has 926 (38.3%) zerosZeros
2023-05 has 920 (38.1%) zerosZeros
2023-06 has 903 (37.4%) zerosZeros
2023-07 has 952 (39.4%) zerosZeros
2023-08 has 950 (39.3%) zerosZeros
2023-09 has 972 (40.2%) zerosZeros
2023-10 has 956 (39.6%) zerosZeros
2023-11 has 952 (39.4%) zerosZeros
2023-12 has 938 (38.8%) zerosZeros
2024-01 has 964 (39.9%) zerosZeros
2024-02 has 878 (36.3%) zerosZeros

Reproduction

Analysis started2024-04-06 09:02:48.721005
Analysis finished2024-04-06 09:02:53.109847
Duration4.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct2416
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
2024-04-06T18:02:53.297593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length15.99255
Min length8

Characters and Unicode

Total characters38638
Distinct characters159
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2416 ?
Unique (%)100.0%

Sample

1st row전국 /도시지역_주거지역
2nd row전국 /도시지역_상업지역
3rd row전국 /도시지역_공업지역
4th row전국 /도시지역_녹지지역
5th row전국 /도시지역_개발제한구역
ValueCountFrequency (%)
경기 448
 
9.3%
경남 216
 
4.5%
서울 208
 
4.3%
경북 208
 
4.3%
전남 184
 
3.8%
충북 160
 
3.3%
충남 160
 
3.3%
강원 152
 
3.1%
부산 136
 
2.8%
전북 136
 
2.8%
Other values (2089) 2824
58.4%
2024-04-06T18:02:53.867931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4236
 
11.0%
3926
 
10.2%
2812
 
7.3%
2416
 
6.3%
/ 2416
 
6.3%
2154
 
5.6%
_ 1812
 
4.7%
1454
 
3.8%
1198
 
3.1%
744
 
1.9%
Other values (149) 15470
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31690
82.0%
Space Separator 2416
 
6.3%
Other Punctuation 2416
 
6.3%
Connector Punctuation 1812
 
4.7%
Close Punctuation 152
 
0.4%
Open Punctuation 152
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4236
 
13.4%
3926
 
12.4%
2812
 
8.9%
2154
 
6.8%
1454
 
4.6%
1198
 
3.8%
744
 
2.3%
712
 
2.2%
702
 
2.2%
678
 
2.1%
Other values (144) 13074
41.3%
Space Separator
ValueCountFrequency (%)
2416
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2416
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1812
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31690
82.0%
Common 6948
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4236
 
13.4%
3926
 
12.4%
2812
 
8.9%
2154
 
6.8%
1454
 
4.6%
1198
 
3.8%
744
 
2.3%
712
 
2.2%
702
 
2.2%
678
 
2.1%
Other values (144) 13074
41.3%
Common
ValueCountFrequency (%)
2416
34.8%
/ 2416
34.8%
_ 1812
26.1%
) 152
 
2.2%
( 152
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31690
82.0%
ASCII 6948
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4236
 
13.4%
3926
 
12.4%
2812
 
8.9%
2154
 
6.8%
1454
 
4.6%
1198
 
3.8%
744
 
2.3%
712
 
2.2%
702
 
2.2%
678
 
2.1%
Other values (144) 13074
41.3%
ASCII
ValueCountFrequency (%)
2416
34.8%
/ 2416
34.8%
_ 1812
26.1%
) 152
 
2.2%
( 152
 
2.2%

2006-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct393
Distinct (%)17.9%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean286.42701
Minimum0
Maximum87300
Zeros968
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:54.125754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q338
95-th percentile607.45
Maximum87300
Range87300
Interquartile range (IQR)38

Descriptive statistics

Standard deviation2777.4134
Coefficient of variation (CV)9.6967582
Kurtosis655.99451
Mean286.42701
Median Absolute Deviation (MAD)2
Skewness23.566987
Sum627848
Variance7714025.4
MonotonicityNot monotonic
2024-04-06T18:02:54.374545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 968
40.1%
1 108
 
4.5%
2 60
 
2.5%
4 59
 
2.4%
3 47
 
1.9%
5 46
 
1.9%
6 34
 
1.4%
8 25
 
1.0%
7 22
 
0.9%
9 21
 
0.9%
Other values (383) 802
33.2%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 968
40.1%
1 108
 
4.5%
2 60
 
2.5%
3 47
 
1.9%
4 59
 
2.4%
5 46
 
1.9%
6 34
 
1.4%
7 22
 
0.9%
8 25
 
1.0%
9 21
 
0.9%
ValueCountFrequency (%)
87300 1
< 0.1%
72170 1
< 0.1%
27461 1
< 0.1%
26801 1
< 0.1%
23052 1
< 0.1%
20205 1
< 0.1%
14728 1
< 0.1%
13885 1
< 0.1%
13210 1
< 0.1%
12288 1
< 0.1%

2006-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct383
Distinct (%)17.5%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean260.96898
Minimum0
Maximum92736
Zeros964
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:54.612461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q340
95-th percentile613.95
Maximum92736
Range92736
Interquartile range (IQR)40

Descriptive statistics

Standard deviation2558.4041
Coefficient of variation (CV)9.8034799
Kurtosis851.39702
Mean260.96898
Median Absolute Deviation (MAD)2
Skewness26.350542
Sum572044
Variance6545431.6
MonotonicityNot monotonic
2024-04-06T18:02:54.860809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 964
39.9%
1 100
 
4.1%
2 66
 
2.7%
3 57
 
2.4%
4 39
 
1.6%
5 38
 
1.6%
6 36
 
1.5%
10 27
 
1.1%
7 21
 
0.9%
8 21
 
0.9%
Other values (373) 823
34.1%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 964
39.9%
1 100
 
4.1%
2 66
 
2.7%
3 57
 
2.4%
4 39
 
1.6%
5 38
 
1.6%
6 36
 
1.5%
7 21
 
0.9%
8 21
 
0.9%
9 13
 
0.5%
ValueCountFrequency (%)
92736 1
< 0.1%
48193 1
< 0.1%
30919 1
< 0.1%
25989 1
< 0.1%
19043 1
< 0.1%
13932 1
< 0.1%
12384 1
< 0.1%
10951 1
< 0.1%
10404 1
< 0.1%
10034 1
< 0.1%

2006-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct428
Distinct (%)19.5%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean309.30018
Minimum0
Maximum121865
Zeros916
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:55.105823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q353.25
95-th percentile923.9
Maximum121865
Range121865
Interquartile range (IQR)53.25

Descriptive statistics

Standard deviation3094.5328
Coefficient of variation (CV)10.00495
Kurtosis1121.7793
Mean309.30018
Median Absolute Deviation (MAD)2
Skewness30.50539
Sum677986
Variance9576133
MonotonicityNot monotonic
2024-04-06T18:02:55.335785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 916
37.9%
1 124
 
5.1%
2 63
 
2.6%
3 47
 
1.9%
6 32
 
1.3%
4 32
 
1.3%
7 26
 
1.1%
10 26
 
1.1%
11 25
 
1.0%
9 21
 
0.9%
Other values (418) 880
36.4%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 916
37.9%
1 124
 
5.1%
2 63
 
2.6%
3 47
 
1.9%
4 32
 
1.3%
5 20
 
0.8%
6 32
 
1.3%
7 26
 
1.1%
8 21
 
0.9%
9 21
 
0.9%
ValueCountFrequency (%)
121865 1
< 0.1%
48184 1
< 0.1%
32681 1
< 0.1%
24123 1
< 0.1%
18634 1
< 0.1%
18563 1
< 0.1%
16203 1
< 0.1%
12807 1
< 0.1%
12086 1
< 0.1%
11338 1
< 0.1%

2006-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct406
Distinct (%)18.5%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean249.79015
Minimum0
Maximum103714
Zeros919
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:55.581506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q349.25
95-th percentile775.35
Maximum103714
Range103714
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation2515.6235
Coefficient of variation (CV)10.070948
Kurtosis1317.3488
Mean249.79015
Median Absolute Deviation (MAD)3
Skewness33.206823
Sum547540
Variance6328361.5
MonotonicityNot monotonic
2024-04-06T18:02:55.843357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 919
38.0%
1 102
 
4.2%
2 72
 
3.0%
3 47
 
1.9%
4 39
 
1.6%
5 34
 
1.4%
7 31
 
1.3%
6 30
 
1.2%
9 20
 
0.8%
13 18
 
0.7%
Other values (396) 880
36.4%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 919
38.0%
1 102
 
4.2%
2 72
 
3.0%
3 47
 
1.9%
4 39
 
1.6%
5 34
 
1.4%
6 30
 
1.2%
7 31
 
1.3%
8 17
 
0.7%
9 20
 
0.8%
ValueCountFrequency (%)
103714 1
< 0.1%
24340 1
< 0.1%
22682 1
< 0.1%
18066 1
< 0.1%
17339 1
< 0.1%
16402 1
< 0.1%
13704 1
< 0.1%
12332 1
< 0.1%
11994 1
< 0.1%
10100 1
< 0.1%

2006-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct453
Distinct (%)20.7%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean305.2021
Minimum0
Maximum119661
Zeros889
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:56.117198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q364.25
95-th percentile877.1
Maximum119661
Range119661
Interquartile range (IQR)64.25

Descriptive statistics

Standard deviation2942.4263
Coefficient of variation (CV)9.6409112
Kurtosis1250.1789
Mean305.2021
Median Absolute Deviation (MAD)3
Skewness32.171848
Sum669003
Variance8657872.8
MonotonicityNot monotonic
2024-04-06T18:02:56.364293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 889
36.8%
1 98
 
4.1%
2 61
 
2.5%
3 55
 
2.3%
4 41
 
1.7%
5 32
 
1.3%
7 25
 
1.0%
6 24
 
1.0%
13 22
 
0.9%
10 22
 
0.9%
Other values (443) 923
38.2%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 889
36.8%
1 98
 
4.1%
2 61
 
2.5%
3 55
 
2.3%
4 41
 
1.7%
5 32
 
1.3%
6 24
 
1.0%
7 25
 
1.0%
8 15
 
0.6%
9 15
 
0.6%
ValueCountFrequency (%)
119661 1
< 0.1%
30789 1
< 0.1%
30275 1
< 0.1%
20097 1
< 0.1%
20084 1
< 0.1%
18749 1
< 0.1%
16750 1
< 0.1%
16013 1
< 0.1%
13818 1
< 0.1%
12209 1
< 0.1%

2006-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct404
Distinct (%)18.4%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean211.97582
Minimum0
Maximum77356
Zeros925
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:56.601682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q344
95-th percentile683.45
Maximum77356
Range77356
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1952.3359
Coefficient of variation (CV)9.210182
Kurtosis1140.6496
Mean211.97582
Median Absolute Deviation (MAD)2
Skewness30.609663
Sum464651
Variance3811615.4
MonotonicityNot monotonic
2024-04-06T18:02:56.872506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 925
38.3%
1 108
 
4.5%
2 75
 
3.1%
3 56
 
2.3%
5 42
 
1.7%
4 38
 
1.6%
6 29
 
1.2%
7 25
 
1.0%
8 21
 
0.9%
12 20
 
0.8%
Other values (394) 853
35.3%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 925
38.3%
1 108
 
4.5%
2 75
 
3.1%
3 56
 
2.3%
4 38
 
1.6%
5 42
 
1.7%
6 29
 
1.2%
7 25
 
1.0%
8 21
 
0.9%
9 15
 
0.6%
ValueCountFrequency (%)
77356 1
< 0.1%
28886 1
< 0.1%
18862 1
< 0.1%
12219 1
< 0.1%
11702 1
< 0.1%
11059 1
< 0.1%
9875 1
< 0.1%
9602 1
< 0.1%
9596 1
< 0.1%
8709 1
< 0.1%

2006-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct374
Distinct (%)17.2%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean185.60156
Minimum0
Maximum70817
Zeros949
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:57.117409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q339.25
95-th percentile526.75
Maximum70817
Range70817
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation1795.3555
Coefficient of variation (CV)9.6731701
Kurtosis1129.0024
Mean185.60156
Median Absolute Deviation (MAD)2
Skewness30.475318
Sum403869
Variance3223301.3
MonotonicityNot monotonic
2024-04-06T18:02:57.349810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 949
39.3%
1 116
 
4.8%
2 61
 
2.5%
4 48
 
2.0%
3 43
 
1.8%
6 36
 
1.5%
5 35
 
1.4%
7 27
 
1.1%
9 22
 
0.9%
20 18
 
0.7%
Other values (364) 821
34.0%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 949
39.3%
1 116
 
4.8%
2 61
 
2.5%
3 43
 
1.8%
4 48
 
2.0%
5 35
 
1.4%
6 36
 
1.5%
7 27
 
1.1%
8 18
 
0.7%
9 22
 
0.9%
ValueCountFrequency (%)
70817 1
< 0.1%
26108 1
< 0.1%
16433 1
< 0.1%
15534 1
< 0.1%
10234 1
< 0.1%
9511 1
< 0.1%
8943 1
< 0.1%
8931 1
< 0.1%
8619 1
< 0.1%
8550 1
< 0.1%

2006-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct384
Distinct (%)17.6%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean203.3171
Minimum0
Maximum76272
Zeros931
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:57.595278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q340
95-th percentile551
Maximum76272
Range76272
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1947.279
Coefficient of variation (CV)9.5775469
Kurtosis1099.8974
Mean203.3171
Median Absolute Deviation (MAD)2
Skewness30.010598
Sum442418
Variance3791895.6
MonotonicityNot monotonic
2024-04-06T18:02:57.844423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
38.5%
1 120
 
5.0%
2 70
 
2.9%
3 59
 
2.4%
5 32
 
1.3%
4 32
 
1.3%
7 26
 
1.1%
8 25
 
1.0%
11 23
 
1.0%
6 23
 
1.0%
Other values (374) 835
34.6%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 931
38.5%
1 120
 
5.0%
2 70
 
2.9%
3 59
 
2.4%
4 32
 
1.3%
5 32
 
1.3%
6 23
 
1.0%
7 26
 
1.1%
8 25
 
1.0%
9 19
 
0.8%
ValueCountFrequency (%)
76272 1
< 0.1%
28711 1
< 0.1%
18818 1
< 0.1%
15455 1
< 0.1%
12206 1
< 0.1%
10868 1
< 0.1%
10639 1
< 0.1%
9782 1
< 0.1%
9628 1
< 0.1%
9190 1
< 0.1%

2006-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct390
Distinct (%)17.9%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean267.28906
Minimum0
Maximum83214
Zeros917
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:58.093681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q347
95-th percentile631.5
Maximum83214
Range83214
Interquartile range (IQR)47

Descriptive statistics

Standard deviation2739.8845
Coefficient of variation (CV)10.250642
Kurtosis570.15522
Mean267.28906
Median Absolute Deviation (MAD)2
Skewness22.30593
Sum581621
Variance7506967.2
MonotonicityNot monotonic
2024-04-06T18:02:58.329191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 917
38.0%
1 107
 
4.4%
2 69
 
2.9%
3 55
 
2.3%
5 37
 
1.5%
4 37
 
1.5%
6 37
 
1.5%
8 28
 
1.2%
9 27
 
1.1%
10 19
 
0.8%
Other values (380) 843
34.9%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 917
38.0%
1 107
 
4.4%
2 69
 
2.9%
3 55
 
2.3%
4 37
 
1.5%
5 37
 
1.5%
6 37
 
1.5%
7 17
 
0.7%
8 28
 
1.2%
9 27
 
1.1%
ValueCountFrequency (%)
83214 1
< 0.1%
63648 1
< 0.1%
43525 1
< 0.1%
40598 1
< 0.1%
23236 1
< 0.1%
17071 1
< 0.1%
12847 1
< 0.1%
10890 1
< 0.1%
10737 1
< 0.1%
9899 1
< 0.1%

2006-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct363
Distinct (%)16.7%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean188.80285
Minimum0
Maximum73019
Zeros932
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:58.566092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q344
95-th percentile486.25
Maximum73019
Range73019
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1844.498
Coefficient of variation (CV)9.7694394
Kurtosis1143.6213
Mean188.80285
Median Absolute Deviation (MAD)2
Skewness30.715688
Sum410835
Variance3402172.8
MonotonicityNot monotonic
2024-04-06T18:02:59.148420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 932
38.6%
1 95
 
3.9%
2 76
 
3.1%
3 59
 
2.4%
4 51
 
2.1%
5 35
 
1.4%
6 29
 
1.2%
7 26
 
1.1%
15 23
 
1.0%
10 21
 
0.9%
Other values (353) 829
34.3%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 932
38.6%
1 95
 
3.9%
2 76
 
3.1%
3 59
 
2.4%
4 51
 
2.1%
5 35
 
1.4%
6 29
 
1.2%
7 26
 
1.1%
8 18
 
0.7%
9 13
 
0.5%
ValueCountFrequency (%)
73019 1
< 0.1%
25788 1
< 0.1%
18042 1
< 0.1%
16546 1
< 0.1%
12188 1
< 0.1%
9643 1
< 0.1%
8615 1
< 0.1%
8497 1
< 0.1%
7125 1
< 0.1%
6780 1
< 0.1%

2006-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct414
Distinct (%)19.0%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean223.23667
Minimum0
Maximum83795
Zeros881
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:59.382257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q359.25
95-th percentile666.25
Maximum83795
Range83795
Interquartile range (IQR)59.25

Descriptive statistics

Standard deviation2100.0791
Coefficient of variation (CV)9.4074107
Kurtosis1173.5609
Mean223.23667
Median Absolute Deviation (MAD)3
Skewness31.100795
Sum485763
Variance4410332.1
MonotonicityNot monotonic
2024-04-06T18:02:59.595896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 881
36.5%
1 92
 
3.8%
3 72
 
3.0%
2 61
 
2.5%
6 40
 
1.7%
4 36
 
1.5%
5 36
 
1.5%
10 25
 
1.0%
7 21
 
0.9%
8 21
 
0.9%
Other values (404) 891
36.9%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 881
36.5%
1 92
 
3.8%
2 61
 
2.5%
3 72
 
3.0%
4 36
 
1.5%
5 36
 
1.5%
6 40
 
1.7%
7 21
 
0.9%
8 21
 
0.9%
9 20
 
0.8%
ValueCountFrequency (%)
83795 1
< 0.1%
24551 1
< 0.1%
24224 1
< 0.1%
17003 1
< 0.1%
13479 1
< 0.1%
12180 1
< 0.1%
12174 1
< 0.1%
9537 1
< 0.1%
8629 1
< 0.1%
8621 1
< 0.1%

2006-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct509
Distinct (%)23.4%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean423.70221
Minimum0
Maximum141730
Zeros819
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:02:59.860640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q392.25
95-th percentile1111.5
Maximum141730
Range141730
Interquartile range (IQR)92.25

Descriptive statistics

Standard deviation3932.173
Coefficient of variation (CV)9.280511
Kurtosis878.92644
Mean423.70221
Median Absolute Deviation (MAD)6
Skewness27.142722
Sum921976
Variance15461984
MonotonicityNot monotonic
2024-04-06T18:03:00.155805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 819
33.9%
1 101
 
4.2%
2 54
 
2.2%
4 42
 
1.7%
3 36
 
1.5%
6 28
 
1.2%
5 26
 
1.1%
8 22
 
0.9%
14 21
 
0.9%
7 20
 
0.8%
Other values (499) 1007
41.7%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 819
33.9%
1 101
 
4.2%
2 54
 
2.2%
3 36
 
1.5%
4 42
 
1.7%
5 26
 
1.1%
6 28
 
1.2%
7 20
 
0.8%
8 22
 
0.9%
9 15
 
0.6%
ValueCountFrequency (%)
141730 1
< 0.1%
86876 1
< 0.1%
30905 1
< 0.1%
26492 1
< 0.1%
25820 1
< 0.1%
24572 1
< 0.1%
22330 1
< 0.1%
19629 1
< 0.1%
17767 1
< 0.1%
15160 1
< 0.1%

2007-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct393
Distinct (%)18.1%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean203.44485
Minimum0
Maximum72408
Zeros933
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:00.407012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q345.25
95-th percentile651.5
Maximum72408
Range72408
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation1885.9693
Coefficient of variation (CV)9.2701746
Kurtosis1029.8639
Mean203.44485
Median Absolute Deviation (MAD)2
Skewness29.084804
Sum442696
Variance3556880.2
MonotonicityNot monotonic
2024-04-06T18:03:00.683108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 933
38.6%
1 107
 
4.4%
2 61
 
2.5%
3 57
 
2.4%
4 40
 
1.7%
5 35
 
1.4%
6 28
 
1.2%
11 22
 
0.9%
7 21
 
0.9%
10 20
 
0.8%
Other values (383) 852
35.3%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 933
38.6%
1 107
 
4.4%
2 61
 
2.5%
3 57
 
2.4%
4 40
 
1.7%
5 35
 
1.4%
6 28
 
1.2%
7 21
 
0.9%
8 18
 
0.7%
9 19
 
0.8%
ValueCountFrequency (%)
72408 1
< 0.1%
30183 1
< 0.1%
22600 1
< 0.1%
14590 1
< 0.1%
11613 1
< 0.1%
11538 1
< 0.1%
11397 1
< 0.1%
7962 1
< 0.1%
6219 1
< 0.1%
5916 1
< 0.1%

2007-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct359
Distinct (%)16.5%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean169.34329
Minimum0
Maximum67122
Zeros941
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:00.975950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q333
95-th percentile522.25
Maximum67122
Range67122
Interquartile range (IQR)33

Descriptive statistics

Standard deviation1682.6183
Coefficient of variation (CV)9.9361381
Kurtosis1173.9238
Mean169.34329
Median Absolute Deviation (MAD)2
Skewness31.141168
Sum368491
Variance2831204.4
MonotonicityNot monotonic
2024-04-06T18:03:01.213494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 941
38.9%
1 127
 
5.3%
2 62
 
2.6%
3 55
 
2.3%
5 53
 
2.2%
4 42
 
1.7%
6 36
 
1.5%
8 23
 
1.0%
11 22
 
0.9%
10 21
 
0.9%
Other values (349) 794
32.9%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 941
38.9%
1 127
 
5.3%
2 62
 
2.6%
3 55
 
2.3%
4 42
 
1.7%
5 53
 
2.2%
6 36
 
1.5%
7 20
 
0.8%
8 23
 
1.0%
9 18
 
0.7%
ValueCountFrequency (%)
67122 1
< 0.1%
20987 1
< 0.1%
18488 1
< 0.1%
12568 1
< 0.1%
11086 1
< 0.1%
9383 1
< 0.1%
8918 1
< 0.1%
8675 1
< 0.1%
8028 1
< 0.1%
7633 1
< 0.1%

2007-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)17.7%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean199.65074
Minimum0
Maximum79731
Zeros891
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:01.473804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q344
95-th percentile581
Maximum79731
Range79731
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1967.5997
Coefficient of variation (CV)9.855209
Kurtosis1244.1135
Mean199.65074
Median Absolute Deviation (MAD)3
Skewness32.192184
Sum434440
Variance3871448.7
MonotonicityNot monotonic
2024-04-06T18:03:01.722742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 891
36.9%
1 101
 
4.2%
2 83
 
3.4%
3 49
 
2.0%
4 39
 
1.6%
6 35
 
1.4%
8 28
 
1.2%
5 27
 
1.1%
7 26
 
1.1%
9 22
 
0.9%
Other values (375) 875
36.2%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 891
36.9%
1 101
 
4.2%
2 83
 
3.4%
3 49
 
2.0%
4 39
 
1.6%
5 27
 
1.1%
6 35
 
1.4%
7 26
 
1.1%
8 28
 
1.2%
9 22
 
0.9%
ValueCountFrequency (%)
79731 1
< 0.1%
23160 1
< 0.1%
19774 1
< 0.1%
13187 1
< 0.1%
12875 1
< 0.1%
12129 1
< 0.1%
10883 1
< 0.1%
10108 1
< 0.1%
7886 1
< 0.1%
7274 1
< 0.1%

2007-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct398
Distinct (%)18.3%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean226.65395
Minimum0
Maximum88759
Zeros903
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:01.971188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q346.25
95-th percentile667.25
Maximum88759
Range88759
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation2204.0372
Coefficient of variation (CV)9.7242389
Kurtosis1210.0678
Mean226.65395
Median Absolute Deviation (MAD)3
Skewness31.492395
Sum493199
Variance4857779.9
MonotonicityNot monotonic
2024-04-06T18:03:02.222592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 903
37.4%
1 89
 
3.7%
3 65
 
2.7%
2 63
 
2.6%
5 41
 
1.7%
4 37
 
1.5%
7 32
 
1.3%
6 30
 
1.2%
9 24
 
1.0%
13 23
 
1.0%
Other values (388) 869
36.0%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 903
37.4%
1 89
 
3.7%
2 63
 
2.6%
3 65
 
2.7%
4 37
 
1.5%
5 41
 
1.7%
6 30
 
1.2%
7 32
 
1.3%
8 22
 
0.9%
9 24
 
1.0%
ValueCountFrequency (%)
88759 1
< 0.1%
22961 1
< 0.1%
17828 1
< 0.1%
16450 1
< 0.1%
16281 1
< 0.1%
14837 1
< 0.1%
14646 1
< 0.1%
12255 1
< 0.1%
12192 1
< 0.1%
9542 1
< 0.1%

2007-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct403
Distinct (%)18.5%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean201.82812
Minimum0
Maximum78396
Zeros890
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:02.437878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q348
95-th percentile619.5
Maximum78396
Range78396
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1946.3399
Coefficient of variation (CV)9.6435516
Kurtosis1219.8062
Mean201.82812
Median Absolute Deviation (MAD)3
Skewness31.892403
Sum439178
Variance3788239.2
MonotonicityNot monotonic
2024-04-06T18:03:02.813460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 890
36.8%
1 87
 
3.6%
2 83
 
3.4%
3 57
 
2.4%
6 33
 
1.4%
5 32
 
1.3%
4 31
 
1.3%
7 29
 
1.2%
9 25
 
1.0%
10 22
 
0.9%
Other values (393) 887
36.7%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 890
36.8%
1 87
 
3.6%
2 83
 
3.4%
3 57
 
2.4%
4 31
 
1.3%
5 32
 
1.3%
6 33
 
1.4%
7 29
 
1.2%
8 21
 
0.9%
9 25
 
1.0%
ValueCountFrequency (%)
78396 1
< 0.1%
26870 1
< 0.1%
15986 1
< 0.1%
14162 1
< 0.1%
13470 1
< 0.1%
11039 1
< 0.1%
10053 1
< 0.1%
8145 1
< 0.1%
7922 1
< 0.1%
7633 1
< 0.1%

2007-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct366
Distinct (%)16.8%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean174.01195
Minimum0
Maximum73410
Zeros912
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:03.076870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q337.25
95-th percentile506
Maximum73410
Range73410
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation1776.1705
Coefficient of variation (CV)10.207176
Kurtosis1340.217
Mean174.01195
Median Absolute Deviation (MAD)2
Skewness33.647338
Sum378650
Variance3154781.8
MonotonicityNot monotonic
2024-04-06T18:03:03.319697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 912
37.7%
1 112
 
4.6%
2 74
 
3.1%
3 56
 
2.3%
4 41
 
1.7%
5 37
 
1.5%
7 35
 
1.4%
6 34
 
1.4%
11 24
 
1.0%
9 22
 
0.9%
Other values (356) 829
34.3%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 912
37.7%
1 112
 
4.6%
2 74
 
3.1%
3 56
 
2.3%
4 41
 
1.7%
5 37
 
1.5%
6 34
 
1.4%
7 35
 
1.4%
8 20
 
0.8%
9 22
 
0.9%
ValueCountFrequency (%)
73410 1
< 0.1%
17396 1
< 0.1%
13952 1
< 0.1%
13597 1
< 0.1%
13568 1
< 0.1%
12798 1
< 0.1%
8739 1
< 0.1%
7744 1
< 0.1%
6959 1
< 0.1%
6570 1
< 0.1%

2007-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct371
Distinct (%)17.0%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean172.21278
Minimum0
Maximum70484
Zeros935
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:03.544660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q341
95-th percentile487.25
Maximum70484
Range70484
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1743.8279
Coefficient of variation (CV)10.126008
Kurtosis1232.9461
Mean172.21278
Median Absolute Deviation (MAD)2
Skewness32.072128
Sum374735
Variance3040935.6
MonotonicityNot monotonic
2024-04-06T18:03:03.773573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 935
38.7%
1 95
 
3.9%
2 81
 
3.4%
3 50
 
2.1%
4 41
 
1.7%
6 36
 
1.5%
5 35
 
1.4%
13 24
 
1.0%
7 23
 
1.0%
17 20
 
0.8%
Other values (361) 836
34.6%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 935
38.7%
1 95
 
3.9%
2 81
 
3.4%
3 50
 
2.1%
4 41
 
1.7%
5 35
 
1.4%
6 36
 
1.5%
7 23
 
1.0%
8 15
 
0.6%
9 20
 
0.8%
ValueCountFrequency (%)
70484 1
< 0.1%
20043 1
< 0.1%
16916 1
< 0.1%
15893 1
< 0.1%
12983 1
< 0.1%
9635 1
< 0.1%
9478 1
< 0.1%
8179 1
< 0.1%
7720 1
< 0.1%
6373 1
< 0.1%

2007-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)17.4%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean177.90395
Minimum0
Maximum68044
Zeros934
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:04.024162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q340
95-th percentile484
Maximum68044
Range68044
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1709.0412
Coefficient of variation (CV)9.6065387
Kurtosis1165.5958
Mean177.90395
Median Absolute Deviation (MAD)2
Skewness30.988921
Sum387119
Variance2920821.9
MonotonicityNot monotonic
2024-04-06T18:03:04.308134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 934
38.7%
1 126
 
5.2%
3 54
 
2.2%
2 51
 
2.1%
4 48
 
2.0%
5 33
 
1.4%
6 32
 
1.3%
7 31
 
1.3%
9 23
 
1.0%
8 22
 
0.9%
Other values (369) 822
34.0%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 934
38.7%
1 126
 
5.2%
2 51
 
2.1%
3 54
 
2.2%
4 48
 
2.0%
5 33
 
1.4%
6 32
 
1.3%
7 31
 
1.3%
8 22
 
0.9%
9 23
 
1.0%
ValueCountFrequency (%)
68044 1
< 0.1%
23140 1
< 0.1%
15133 1
< 0.1%
12642 1
< 0.1%
12575 1
< 0.1%
9590 1
< 0.1%
9551 1
< 0.1%
9293 1
< 0.1%
9202 1
< 0.1%
7534 1
< 0.1%

2007-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct330
Distinct (%)15.2%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean126.71232
Minimum0
Maximum47010
Zeros977
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:04.560079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q329
95-th percentile366.5
Maximum47010
Range47010
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1189.6188
Coefficient of variation (CV)9.3883436
Kurtosis1129.2108
Mean126.71232
Median Absolute Deviation (MAD)1
Skewness30.332495
Sum275726
Variance1415192.8
MonotonicityNot monotonic
2024-04-06T18:03:04.793031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
40.4%
1 117
 
4.8%
2 77
 
3.2%
3 60
 
2.5%
4 37
 
1.5%
5 34
 
1.4%
8 31
 
1.3%
6 29
 
1.2%
7 28
 
1.2%
11 25
 
1.0%
Other values (320) 761
31.5%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 977
40.4%
1 117
 
4.8%
2 77
 
3.2%
3 60
 
2.5%
4 37
 
1.5%
5 34
 
1.4%
6 29
 
1.2%
7 28
 
1.2%
8 31
 
1.3%
9 16
 
0.7%
ValueCountFrequency (%)
47010 1
< 0.1%
13697 1
< 0.1%
13109 1
< 0.1%
9957 1
< 0.1%
8405 1
< 0.1%
7597 1
< 0.1%
7237 1
< 0.1%
7233 1
< 0.1%
5645 1
< 0.1%
5224 1
< 0.1%

2007-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)17.7%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean179.20221
Minimum0
Maximum70876
Zeros902
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:05.080081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340.25
95-th percentile557.25
Maximum70876
Range70876
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation1754.0477
Coefficient of variation (CV)9.7880919
Kurtosis1230.4297
Mean179.20221
Median Absolute Deviation (MAD)3
Skewness31.982042
Sum389944
Variance3076683.2
MonotonicityNot monotonic
2024-04-06T18:03:05.458241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 902
37.3%
1 104
 
4.3%
2 72
 
3.0%
3 52
 
2.2%
4 40
 
1.7%
6 35
 
1.4%
7 32
 
1.3%
5 31
 
1.3%
9 27
 
1.1%
8 22
 
0.9%
Other values (375) 859
35.6%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 902
37.3%
1 104
 
4.3%
2 72
 
3.0%
3 52
 
2.2%
4 40
 
1.7%
5 31
 
1.3%
6 35
 
1.4%
7 32
 
1.3%
8 22
 
0.9%
9 27
 
1.1%
ValueCountFrequency (%)
70876 1
< 0.1%
19150 1
< 0.1%
19067 1
< 0.1%
14686 1
< 0.1%
10182 1
< 0.1%
10166 1
< 0.1%
9787 1
< 0.1%
9324 1
< 0.1%
6932 1
< 0.1%
6756 1
< 0.1%

2007-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct390
Distinct (%)17.9%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean192.64706
Minimum0
Maximum70850
Zeros899
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:05.690089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q347
95-th percentile549
Maximum70850
Range70850
Interquartile range (IQR)47

Descriptive statistics

Standard deviation1793.7246
Coefficient of variation (CV)9.3109367
Kurtosis1134.2569
Mean192.64706
Median Absolute Deviation (MAD)3
Skewness30.576276
Sum419200
Variance3217447.8
MonotonicityNot monotonic
2024-04-06T18:03:05.926816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
37.2%
1 108
 
4.5%
2 61
 
2.5%
3 60
 
2.5%
4 54
 
2.2%
5 37
 
1.5%
6 34
 
1.4%
9 24
 
1.0%
11 21
 
0.9%
7 21
 
0.9%
Other values (380) 857
35.5%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 899
37.2%
1 108
 
4.5%
2 61
 
2.5%
3 60
 
2.5%
4 54
 
2.2%
5 37
 
1.5%
6 34
 
1.4%
7 21
 
0.9%
8 18
 
0.7%
9 24
 
1.0%
ValueCountFrequency (%)
70850 1
< 0.1%
25196 1
< 0.1%
19644 1
< 0.1%
12567 1
< 0.1%
11869 1
< 0.1%
10663 2
0.1%
8131 1
< 0.1%
6365 1
< 0.1%
6039 1
< 0.1%
5879 1
< 0.1%

2007-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct381
Distinct (%)17.5%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean193.52757
Minimum0
Maximum71931
Zeros904
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:06.606341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q344
95-th percentile615.25
Maximum71931
Range71931
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1818.9031
Coefficient of variation (CV)9.3986768
Kurtosis1143.6676
Mean193.52757
Median Absolute Deviation (MAD)3
Skewness30.786254
Sum421116
Variance3308408.6
MonotonicityNot monotonic
2024-04-06T18:03:06.790083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 904
37.4%
1 104
 
4.3%
2 77
 
3.2%
3 51
 
2.1%
4 43
 
1.8%
5 33
 
1.4%
6 31
 
1.3%
7 26
 
1.1%
13 24
 
1.0%
9 23
 
1.0%
Other values (371) 860
35.6%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 904
37.4%
1 104
 
4.3%
2 77
 
3.2%
3 51
 
2.1%
4 43
 
1.8%
5 33
 
1.4%
6 31
 
1.3%
7 26
 
1.1%
8 23
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
71931 1
< 0.1%
27946 1
< 0.1%
16391 1
< 0.1%
12496 1
< 0.1%
11968 1
< 0.1%
11441 1
< 0.1%
9650 1
< 0.1%
7342 1
< 0.1%
7072 1
< 0.1%
6294 1
< 0.1%

2008-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct382
Distinct (%)17.6%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean186.35983
Minimum0
Maximum67117
Zeros931
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:07.041792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q340
95-th percentile591.25
Maximum67117
Range67117
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1716.6236
Coefficient of variation (CV)9.2113387
Kurtosis1098.8451
Mean186.35983
Median Absolute Deviation (MAD)2
Skewness30.09895
Sum405519
Variance2946796.4
MonotonicityNot monotonic
2024-04-06T18:03:07.343189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
38.5%
1 104
 
4.3%
2 73
 
3.0%
3 55
 
2.3%
4 42
 
1.7%
5 32
 
1.3%
8 25
 
1.0%
6 22
 
0.9%
10 22
 
0.9%
7 21
 
0.9%
Other values (372) 849
35.1%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 931
38.5%
1 104
 
4.3%
2 73
 
3.0%
3 55
 
2.3%
4 42
 
1.7%
5 32
 
1.3%
6 22
 
0.9%
7 21
 
0.9%
8 25
 
1.0%
9 19
 
0.8%
ValueCountFrequency (%)
67117 1
< 0.1%
27566 1
< 0.1%
15850 1
< 0.1%
12949 1
< 0.1%
11476 1
< 0.1%
8908 1
< 0.1%
8251 1
< 0.1%
7199 1
< 0.1%
6899 1
< 0.1%
5912 1
< 0.1%

2008-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct372
Distinct (%)17.1%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean171.23575
Minimum0
Maximum65325
Zeros971
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:07.666408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q334
95-th percentile530.25
Maximum65325
Range65325
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1632.0211
Coefficient of variation (CV)9.530843
Kurtosis1189.4041
Mean171.23575
Median Absolute Deviation (MAD)1.5
Skewness31.375339
Sum372609
Variance2663492.8
MonotonicityNot monotonic
2024-04-06T18:03:07.912965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 971
40.2%
1 117
 
4.8%
2 79
 
3.3%
4 51
 
2.1%
3 39
 
1.6%
5 24
 
1.0%
7 23
 
1.0%
6 23
 
1.0%
15 22
 
0.9%
8 22
 
0.9%
Other values (362) 805
33.3%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 971
40.2%
1 117
 
4.8%
2 79
 
3.3%
3 39
 
1.6%
4 51
 
2.1%
5 24
 
1.0%
6 23
 
1.0%
7 23
 
1.0%
8 22
 
0.9%
9 19
 
0.8%
ValueCountFrequency (%)
65325 1
< 0.1%
21161 1
< 0.1%
17028 1
< 0.1%
12748 1
< 0.1%
9893 1
< 0.1%
9267 1
< 0.1%
8374 1
< 0.1%
6594 1
< 0.1%
5984 1
< 0.1%
5942 1
< 0.1%

2008-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct401
Distinct (%)18.4%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean213.17877
Minimum0
Maximum82563
Zeros921
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:08.184059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q345
95-th percentile671.5
Maximum82563
Range82563
Interquartile range (IQR)45

Descriptive statistics

Standard deviation2047.8062
Coefficient of variation (CV)9.6060515
Kurtosis1220.7846
Mean213.17877
Median Absolute Deviation (MAD)2
Skewness31.801981
Sum463877
Variance4193510.4
MonotonicityNot monotonic
2024-04-06T18:03:08.418381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
38.1%
1 108
 
4.5%
2 63
 
2.6%
3 52
 
2.2%
4 38
 
1.6%
5 36
 
1.5%
8 28
 
1.2%
9 27
 
1.1%
7 26
 
1.1%
6 24
 
1.0%
Other values (391) 853
35.3%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 921
38.1%
1 108
 
4.5%
2 63
 
2.6%
3 52
 
2.2%
4 38
 
1.6%
5 36
 
1.5%
6 24
 
1.0%
7 26
 
1.1%
8 28
 
1.2%
9 27
 
1.1%
ValueCountFrequency (%)
82563 1
< 0.1%
26258 1
< 0.1%
18675 1
< 0.1%
13080 1
< 0.1%
13061 1
< 0.1%
11254 1
< 0.1%
10667 1
< 0.1%
9538 1
< 0.1%
9416 1
< 0.1%
9050 1
< 0.1%

2008-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct392
Distinct (%)18.0%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean226.00643
Minimum0
Maximum83798
Zeros901
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:08.675999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q347.25
95-th percentile631.75
Maximum83798
Range83798
Interquartile range (IQR)47.25

Descriptive statistics

Standard deviation2146.8613
Coefficient of variation (CV)9.499116
Kurtosis1082.5679
Mean226.00643
Median Absolute Deviation (MAD)3
Skewness29.676875
Sum491790
Variance4609013.6
MonotonicityNot monotonic
2024-04-06T18:03:08.919649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 901
37.3%
1 92
 
3.8%
2 75
 
3.1%
3 50
 
2.1%
4 43
 
1.8%
5 39
 
1.6%
6 34
 
1.4%
7 27
 
1.1%
8 23
 
1.0%
9 23
 
1.0%
Other values (382) 869
36.0%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 901
37.3%
1 92
 
3.8%
2 75
 
3.1%
3 50
 
2.1%
4 43
 
1.8%
5 39
 
1.6%
6 34
 
1.4%
7 27
 
1.1%
8 23
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
83798 1
< 0.1%
29193 1
< 0.1%
24350 1
< 0.1%
15517 1
< 0.1%
14273 1
< 0.1%
13179 1
< 0.1%
13146 1
< 0.1%
11574 1
< 0.1%
9888 1
< 0.1%
8986 1
< 0.1%

2008-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct386
Distinct (%)17.7%
Missing240
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean188.93199
Minimum0
Maximum69848
Zeros877
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:09.128302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile613.25
Maximum69848
Range69848
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1768.5029
Coefficient of variation (CV)9.3605266
Kurtosis1136.7257
Mean188.93199
Median Absolute Deviation (MAD)3
Skewness30.623236
Sum411116
Variance3127602.4
MonotonicityNot monotonic
2024-04-06T18:03:09.360851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 877
36.3%
1 133
 
5.5%
2 70
 
2.9%
3 54
 
2.2%
5 44
 
1.8%
4 43
 
1.8%
6 30
 
1.2%
10 24
 
1.0%
8 24
 
1.0%
9 23
 
1.0%
Other values (376) 854
35.3%
(Missing) 240
 
9.9%
ValueCountFrequency (%)
0 877
36.3%
1 133
 
5.5%
2 70
 
2.9%
3 54
 
2.2%
4 43
 
1.8%
5 44
 
1.8%
6 30
 
1.2%
7 19
 
0.8%
8 24
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
69848 1
< 0.1%
26968 1
< 0.1%
15258 1
< 0.1%
13228 1
< 0.1%
10214 1
< 0.1%
10183 1
< 0.1%
8412 1
< 0.1%
8166 1
< 0.1%
8063 1
< 0.1%
7079 1
< 0.1%

2008-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct372
Distinct (%)17.0%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean179.22354
Minimum0
Maximum67215
Zeros904
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:09.627587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile556.8
Maximum67215
Range67215
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1698.8407
Coefficient of variation (CV)9.4788925
Kurtosis1136.8059
Mean179.22354
Median Absolute Deviation (MAD)3
Skewness30.635843
Sum392858
Variance2886059.6
MonotonicityNot monotonic
2024-04-06T18:03:09.855675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 904
37.4%
1 105
 
4.3%
2 81
 
3.4%
3 58
 
2.4%
4 47
 
1.9%
5 36
 
1.5%
8 34
 
1.4%
7 32
 
1.3%
6 30
 
1.2%
14 22
 
0.9%
Other values (362) 843
34.9%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 904
37.4%
1 105
 
4.3%
2 81
 
3.4%
3 58
 
2.4%
4 47
 
1.9%
5 36
 
1.5%
6 30
 
1.2%
7 32
 
1.3%
8 34
 
1.4%
9 22
 
0.9%
ValueCountFrequency (%)
67215 1
< 0.1%
24948 1
< 0.1%
18954 1
< 0.1%
12295 1
< 0.1%
9252 1
< 0.1%
8925 1
< 0.1%
8265 1
< 0.1%
6902 1
< 0.1%
6706 1
< 0.1%
6029 1
< 0.1%

2008-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)17.6%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean174.38686
Minimum0
Maximum64006
Zeros910
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:10.113075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q342
95-th percentile548.45
Maximum64006
Range64006
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1623.4645
Coefficient of variation (CV)9.3095575
Kurtosis1122.3046
Mean174.38686
Median Absolute Deviation (MAD)3
Skewness30.407307
Sum382256
Variance2635637
MonotonicityNot monotonic
2024-04-06T18:03:10.367390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 910
37.7%
1 113
 
4.7%
2 63
 
2.6%
3 59
 
2.4%
4 51
 
2.1%
8 32
 
1.3%
6 31
 
1.3%
5 28
 
1.2%
7 24
 
1.0%
10 19
 
0.8%
Other values (375) 862
35.7%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 910
37.7%
1 113
 
4.7%
2 63
 
2.6%
3 59
 
2.4%
4 51
 
2.1%
5 28
 
1.2%
6 31
 
1.3%
7 24
 
1.0%
8 32
 
1.3%
9 19
 
0.8%
ValueCountFrequency (%)
64006 1
< 0.1%
24359 1
< 0.1%
17725 1
< 0.1%
11087 1
< 0.1%
9113 1
< 0.1%
8700 1
< 0.1%
8543 1
< 0.1%
7416 1
< 0.1%
6872 1
< 0.1%
6786 1
< 0.1%

2008-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct335
Distinct (%)15.3%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean122.60538
Minimum0
Maximum50328
Zeros955
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:10.685990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q330
95-th percentile384.7
Maximum50328
Range50328
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1224.9486
Coefficient of variation (CV)9.9909857
Kurtosis1304.1728
Mean122.60538
Median Absolute Deviation (MAD)2
Skewness33.140513
Sum268751
Variance1500499.1
MonotonicityNot monotonic
2024-04-06T18:03:10.969449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
39.5%
1 126
 
5.2%
2 76
 
3.1%
3 67
 
2.8%
4 46
 
1.9%
5 31
 
1.3%
9 29
 
1.2%
8 27
 
1.1%
6 27
 
1.1%
7 22
 
0.9%
Other values (325) 786
32.5%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 955
39.5%
1 126
 
5.2%
2 76
 
3.1%
3 67
 
2.8%
4 46
 
1.9%
5 31
 
1.3%
6 27
 
1.1%
7 22
 
0.9%
8 27
 
1.1%
9 29
 
1.2%
ValueCountFrequency (%)
50328 1
< 0.1%
15183 1
< 0.1%
9423 1
< 0.1%
8741 1
< 0.1%
8153 1
< 0.1%
7812 1
< 0.1%
7682 1
< 0.1%
5156 1
< 0.1%
4619 1
< 0.1%
4607 1
< 0.1%

2008-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct334
Distinct (%)15.2%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean136.20392
Minimum0
Maximum57073
Zeros925
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:11.220034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329.25
95-th percentile433
Maximum57073
Range57073
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation1375.1071
Coefficient of variation (CV)10.095943
Kurtosis1354.1614
Mean136.20392
Median Absolute Deviation (MAD)2
Skewness33.870999
Sum298559
Variance1890919.6
MonotonicityNot monotonic
2024-04-06T18:03:11.470811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 925
38.3%
1 121
 
5.0%
2 74
 
3.1%
3 59
 
2.4%
4 43
 
1.8%
5 41
 
1.7%
7 35
 
1.4%
6 32
 
1.3%
9 27
 
1.1%
8 25
 
1.0%
Other values (324) 810
33.5%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 925
38.3%
1 121
 
5.0%
2 74
 
3.1%
3 59
 
2.4%
4 43
 
1.8%
5 41
 
1.7%
6 32
 
1.3%
7 35
 
1.4%
8 25
 
1.0%
9 27
 
1.1%
ValueCountFrequency (%)
57073 1
< 0.1%
15277 1
< 0.1%
11164 1
< 0.1%
9851 1
< 0.1%
8956 1
< 0.1%
8016 1
< 0.1%
7886 1
< 0.1%
6192 1
< 0.1%
6082 1
< 0.1%
4746 1
< 0.1%

2008-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct352
Distinct (%)16.1%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean165.42518
Minimum0
Maximum76250
Zeros918
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:11.756799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q331
95-th percentile474.7
Maximum76250
Range76250
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1819.1593
Coefficient of variation (CV)10.996871
Kurtosis1408.6347
Mean165.42518
Median Absolute Deviation (MAD)2
Skewness34.766261
Sum362612
Variance3309340.7
MonotonicityNot monotonic
2024-04-06T18:03:12.031501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918
38.0%
1 123
 
5.1%
2 84
 
3.5%
3 62
 
2.6%
4 55
 
2.3%
6 40
 
1.7%
5 38
 
1.6%
7 28
 
1.2%
11 24
 
1.0%
10 24
 
1.0%
Other values (342) 796
32.9%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 918
38.0%
1 123
 
5.1%
2 84
 
3.5%
3 62
 
2.6%
4 55
 
2.3%
5 38
 
1.6%
6 40
 
1.7%
7 28
 
1.2%
8 21
 
0.9%
9 8
 
0.3%
ValueCountFrequency (%)
76250 1
< 0.1%
18971 1
< 0.1%
17653 1
< 0.1%
11060 1
< 0.1%
10357 1
< 0.1%
9882 1
< 0.1%
8910 1
< 0.1%
7387 1
< 0.1%
7342 1
< 0.1%
6874 1
< 0.1%

2008-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)15.6%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean149.93157
Minimum0
Maximum62775
Zeros974
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:12.320159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q325.25
95-th percentile463.9
Maximum62775
Range62775
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation1529.8116
Coefficient of variation (CV)10.203399
Kurtosis1295.2518
Mean149.93157
Median Absolute Deviation (MAD)1
Skewness32.912776
Sum328650
Variance2340323.5
MonotonicityNot monotonic
2024-04-06T18:03:12.565506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 974
40.3%
1 124
 
5.1%
2 82
 
3.4%
4 57
 
2.4%
3 56
 
2.3%
5 42
 
1.7%
6 33
 
1.4%
10 25
 
1.0%
7 25
 
1.0%
8 22
 
0.9%
Other values (332) 752
31.1%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 974
40.3%
1 124
 
5.1%
2 82
 
3.4%
3 56
 
2.3%
4 57
 
2.4%
5 42
 
1.7%
6 33
 
1.4%
7 25
 
1.0%
8 22
 
0.9%
9 16
 
0.7%
ValueCountFrequency (%)
62775 1
< 0.1%
16233 1
< 0.1%
14684 1
< 0.1%
11162 1
< 0.1%
10683 1
< 0.1%
8926 1
< 0.1%
7047 1
< 0.1%
7007 1
< 0.1%
6382 1
< 0.1%
5980 1
< 0.1%

2008-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct343
Distinct (%)15.6%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean157.35995
Minimum0
Maximum70222
Zeros942
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:12.810272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile501.9
Maximum70222
Range70222
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1687.5966
Coefficient of variation (CV)10.724436
Kurtosis1368.4688
Mean157.35995
Median Absolute Deviation (MAD)2
Skewness34.123314
Sum344933
Variance2847982.2
MonotonicityNot monotonic
2024-04-06T18:03:13.058854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
39.0%
1 128
 
5.3%
2 70
 
2.9%
3 57
 
2.4%
6 43
 
1.8%
5 42
 
1.7%
4 38
 
1.6%
8 26
 
1.1%
9 25
 
1.0%
7 22
 
0.9%
Other values (333) 799
33.1%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 942
39.0%
1 128
 
5.3%
2 70
 
2.9%
3 57
 
2.4%
4 38
 
1.6%
5 42
 
1.7%
6 43
 
1.8%
7 22
 
0.9%
8 26
 
1.1%
9 25
 
1.0%
ValueCountFrequency (%)
70222 1
< 0.1%
18190 1
< 0.1%
13107 1
< 0.1%
12474 1
< 0.1%
12423 1
< 0.1%
10945 1
< 0.1%
9434 1
< 0.1%
6806 1
< 0.1%
6498 1
< 0.1%
6432 1
< 0.1%

2009-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct322
Distinct (%)14.7%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean120.39097
Minimum0
Maximum48299
Zeros977
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:13.795529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q321
95-th percentile389.45
Maximum48299
Range48299
Interquartile range (IQR)21

Descriptive statistics

Standard deviation1192.7713
Coefficient of variation (CV)9.9074813
Kurtosis1234.0804
Mean120.39097
Median Absolute Deviation (MAD)1
Skewness32.074782
Sum263897
Variance1422703.3
MonotonicityNot monotonic
2024-04-06T18:03:14.013277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
40.4%
1 148
 
6.1%
2 78
 
3.2%
3 68
 
2.8%
4 57
 
2.4%
5 36
 
1.5%
6 29
 
1.2%
10 23
 
1.0%
18 23
 
1.0%
14 22
 
0.9%
Other values (312) 731
30.3%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 977
40.4%
1 148
 
6.1%
2 78
 
3.2%
3 68
 
2.8%
4 57
 
2.4%
5 36
 
1.5%
6 29
 
1.2%
7 22
 
0.9%
8 22
 
0.9%
9 15
 
0.6%
ValueCountFrequency (%)
48299 1
< 0.1%
14383 1
< 0.1%
11992 1
< 0.1%
10334 1
< 0.1%
9123 1
< 0.1%
6756 1
< 0.1%
5395 1
< 0.1%
5048 1
< 0.1%
4682 1
< 0.1%
4109 1
< 0.1%

2009-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct355
Distinct (%)16.2%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean165.37591
Minimum0
Maximum74895
Zeros957
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:14.217684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q326
95-th percentile530.25
Maximum74895
Range74895
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1795.3455
Coefficient of variation (CV)10.856149
Kurtosis1381.6792
Mean165.37591
Median Absolute Deviation (MAD)1
Skewness34.332244
Sum362504
Variance3223265.5
MonotonicityNot monotonic
2024-04-06T18:03:14.464330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 957
39.6%
1 144
 
6.0%
2 77
 
3.2%
3 58
 
2.4%
6 36
 
1.5%
5 35
 
1.4%
4 30
 
1.2%
8 26
 
1.1%
9 25
 
1.0%
10 24
 
1.0%
Other values (345) 780
32.3%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 957
39.6%
1 144
 
6.0%
2 77
 
3.2%
3 58
 
2.4%
4 30
 
1.2%
5 35
 
1.4%
6 36
 
1.5%
7 24
 
1.0%
8 26
 
1.1%
9 25
 
1.0%
ValueCountFrequency (%)
74895 1
< 0.1%
17149 1
< 0.1%
15262 1
< 0.1%
14286 1
< 0.1%
13998 1
< 0.1%
12452 1
< 0.1%
8877 1
< 0.1%
7083 1
< 0.1%
6232 1
< 0.1%
6095 1
< 0.1%

2009-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct380
Distinct (%)17.3%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean219.21305
Minimum0
Maximum109228
Zeros899
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:14.697320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q339
95-th percentile651.85
Maximum109228
Range109228
Interquartile range (IQR)39

Descriptive statistics

Standard deviation2558.7938
Coefficient of variation (CV)11.672635
Kurtosis1511.3615
Mean219.21305
Median Absolute Deviation (MAD)2
Skewness36.313804
Sum480515
Variance6547425.9
MonotonicityNot monotonic
2024-04-06T18:03:14.948076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
37.2%
1 133
 
5.5%
2 75
 
3.1%
3 62
 
2.6%
5 46
 
1.9%
4 41
 
1.7%
9 25
 
1.0%
6 25
 
1.0%
11 25
 
1.0%
15 23
 
1.0%
Other values (370) 838
34.7%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 899
37.2%
1 133
 
5.5%
2 75
 
3.1%
3 62
 
2.6%
4 41
 
1.7%
5 46
 
1.9%
6 25
 
1.0%
7 19
 
0.8%
8 18
 
0.7%
9 25
 
1.0%
ValueCountFrequency (%)
109228 1
< 0.1%
23228 1
< 0.1%
19334 1
< 0.1%
17041 1
< 0.1%
15338 1
< 0.1%
13010 1
< 0.1%
12171 1
< 0.1%
12052 1
< 0.1%
11073 1
< 0.1%
10656 1
< 0.1%

2009-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct375
Distinct (%)17.1%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean191.60265
Minimum0
Maximum83979
Zeros906
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:15.207705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q337
95-th percentile624.45
Maximum83979
Range83979
Interquartile range (IQR)37

Descriptive statistics

Standard deviation2007.3082
Coefficient of variation (CV)10.476411
Kurtosis1396.0356
Mean191.60265
Median Absolute Deviation (MAD)3
Skewness34.502406
Sum419993
Variance4029286
MonotonicityNot monotonic
2024-04-06T18:03:15.429673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 906
37.5%
1 120
 
5.0%
2 67
 
2.8%
3 49
 
2.0%
5 39
 
1.6%
4 39
 
1.6%
7 38
 
1.6%
8 31
 
1.3%
6 30
 
1.2%
11 23
 
1.0%
Other values (365) 850
35.2%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 906
37.5%
1 120
 
5.0%
2 67
 
2.8%
3 49
 
2.0%
4 39
 
1.6%
5 39
 
1.6%
6 30
 
1.2%
7 38
 
1.6%
8 31
 
1.3%
9 21
 
0.9%
ValueCountFrequency (%)
83979 1
< 0.1%
20308 1
< 0.1%
16012 1
< 0.1%
13378 1
< 0.1%
13133 1
< 0.1%
12843 1
< 0.1%
10504 1
< 0.1%
9813 1
< 0.1%
8496 1
< 0.1%
8402 1
< 0.1%

2009-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct371
Distinct (%)16.9%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean182.64781
Minimum0
Maximum81284
Zeros917
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:15.660964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q337
95-th percentile570.35
Maximum81284
Range81284
Interquartile range (IQR)37

Descriptive statistics

Standard deviation1944.3918
Coefficient of variation (CV)10.64558
Kurtosis1391.724
Mean182.64781
Median Absolute Deviation (MAD)2
Skewness34.425384
Sum400364
Variance3780659.5
MonotonicityNot monotonic
2024-04-06T18:03:15.972400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 917
38.0%
1 115
 
4.8%
2 80
 
3.3%
3 61
 
2.5%
7 41
 
1.7%
6 39
 
1.6%
4 37
 
1.5%
5 33
 
1.4%
15 24
 
1.0%
10 22
 
0.9%
Other values (361) 823
34.1%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 917
38.0%
1 115
 
4.8%
2 80
 
3.3%
3 61
 
2.5%
4 37
 
1.5%
5 33
 
1.4%
6 39
 
1.6%
7 41
 
1.7%
8 20
 
0.8%
9 18
 
0.7%
ValueCountFrequency (%)
81284 1
< 0.1%
18483 1
< 0.1%
17052 1
< 0.1%
13804 1
< 0.1%
11738 1
< 0.1%
11233 1
< 0.1%
10384 1
< 0.1%
10217 1
< 0.1%
9831 1
< 0.1%
6924 1
< 0.1%

2009-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct393
Distinct (%)17.9%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean218.0771
Minimum0
Maximum101440
Zeros876
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:16.275255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile592.9
Maximum101440
Range101440
Interquartile range (IQR)43

Descriptive statistics

Standard deviation2399.6005
Coefficient of variation (CV)11.00345
Kurtosis1453.4817
Mean218.0771
Median Absolute Deviation (MAD)3
Skewness35.363899
Sum478025
Variance5758082.6
MonotonicityNot monotonic
2024-04-06T18:03:16.528052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 876
36.3%
1 121
 
5.0%
2 81
 
3.4%
3 52
 
2.2%
4 47
 
1.9%
5 46
 
1.9%
6 27
 
1.1%
8 24
 
1.0%
7 24
 
1.0%
10 23
 
1.0%
Other values (383) 871
36.1%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 876
36.3%
1 121
 
5.0%
2 81
 
3.4%
3 52
 
2.2%
4 47
 
1.9%
5 46
 
1.9%
6 27
 
1.1%
7 24
 
1.0%
8 24
 
1.0%
9 19
 
0.8%
ValueCountFrequency (%)
101440 1
< 0.1%
21544 1
< 0.1%
19954 1
< 0.1%
14874 1
< 0.1%
13357 1
< 0.1%
12022 1
< 0.1%
11818 1
< 0.1%
11572 1
< 0.1%
11402 1
< 0.1%
11393 1
< 0.1%

2009-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)16.7%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean173.88367
Minimum0
Maximum77563
Zeros905
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:16.761094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q342.25
95-th percentile501
Maximum77563
Range77563
Interquartile range (IQR)42.25

Descriptive statistics

Standard deviation1857.5454
Coefficient of variation (CV)10.68269
Kurtosis1387.1432
Mean173.88367
Median Absolute Deviation (MAD)3
Skewness34.418442
Sum381153
Variance3450474.9
MonotonicityNot monotonic
2024-04-06T18:03:17.044957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 905
37.5%
1 118
 
4.9%
3 68
 
2.8%
2 64
 
2.6%
4 38
 
1.6%
5 33
 
1.4%
7 28
 
1.2%
8 27
 
1.1%
6 23
 
1.0%
10 23
 
1.0%
Other values (355) 865
35.8%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 905
37.5%
1 118
 
4.9%
2 64
 
2.6%
3 68
 
2.8%
4 38
 
1.6%
5 33
 
1.4%
6 23
 
1.0%
7 28
 
1.2%
8 27
 
1.1%
9 22
 
0.9%
ValueCountFrequency (%)
77563 1
< 0.1%
20222 1
< 0.1%
15163 1
< 0.1%
12534 1
< 0.1%
12017 1
< 0.1%
10768 1
< 0.1%
10672 1
< 0.1%
8879 1
< 0.1%
8560 1
< 0.1%
6670 1
< 0.1%

2009-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct362
Distinct (%)16.5%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean156.39644
Minimum0
Maximum70507
Zeros898
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:17.305502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q335
95-th percentile478.35
Maximum70507
Range70507
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1674.816
Coefficient of variation (CV)10.708786
Kurtosis1429.5982
Mean156.39644
Median Absolute Deviation (MAD)2
Skewness34.990895
Sum342821
Variance2805008.7
MonotonicityNot monotonic
2024-04-06T18:03:17.566572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 898
37.2%
1 129
 
5.3%
2 78
 
3.2%
3 59
 
2.4%
4 43
 
1.8%
5 40
 
1.7%
6 37
 
1.5%
7 31
 
1.3%
9 30
 
1.2%
18 22
 
0.9%
Other values (352) 825
34.1%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 898
37.2%
1 129
 
5.3%
2 78
 
3.2%
3 59
 
2.4%
4 43
 
1.8%
5 40
 
1.7%
6 37
 
1.5%
7 31
 
1.3%
8 18
 
0.7%
9 30
 
1.2%
ValueCountFrequency (%)
70507 1
< 0.1%
15544 1
< 0.1%
12391 1
< 0.1%
11082 1
< 0.1%
10654 1
< 0.1%
9315 1
< 0.1%
9009 1
< 0.1%
8987 1
< 0.1%
8161 1
< 0.1%
7532 1
< 0.1%

2009-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct369
Distinct (%)16.8%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean157.48175
Minimum0
Maximum67982
Zeros878
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:17.827005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338
95-th percentile468.7
Maximum67982
Range67982
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1630.5632
Coefficient of variation (CV)10.353982
Kurtosis1377.3738
Mean157.48175
Median Absolute Deviation (MAD)3
Skewness34.216156
Sum345200
Variance2658736.4
MonotonicityNot monotonic
2024-04-06T18:03:18.103532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 878
36.3%
1 119
 
4.9%
2 70
 
2.9%
4 57
 
2.4%
3 54
 
2.2%
5 43
 
1.8%
8 35
 
1.4%
9 27
 
1.1%
6 27
 
1.1%
7 26
 
1.1%
Other values (359) 856
35.4%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 878
36.3%
1 119
 
4.9%
2 70
 
2.9%
3 54
 
2.2%
4 57
 
2.4%
5 43
 
1.8%
6 27
 
1.1%
7 26
 
1.1%
8 35
 
1.4%
9 27
 
1.1%
ValueCountFrequency (%)
67982 1
< 0.1%
16527 1
< 0.1%
13777 1
< 0.1%
11402 1
< 0.1%
10664 1
< 0.1%
9906 1
< 0.1%
8465 1
< 0.1%
8175 1
< 0.1%
6891 1
< 0.1%
6773 1
< 0.1%

2009-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct359
Distinct (%)16.4%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean146.97445
Minimum0
Maximum60201
Zeros900
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:18.398514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q336
95-th percentile470.25
Maximum60201
Range60201
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1470.4933
Coefficient of variation (CV)10.005094
Kurtosis1287.2732
Mean146.97445
Median Absolute Deviation (MAD)2
Skewness32.925461
Sum322168
Variance2162350.5
MonotonicityNot monotonic
2024-04-06T18:03:18.634086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
37.3%
1 121
 
5.0%
2 78
 
3.2%
3 59
 
2.4%
4 48
 
2.0%
5 39
 
1.6%
6 26
 
1.1%
9 25
 
1.0%
8 25
 
1.0%
15 21
 
0.9%
Other values (349) 850
35.2%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 900
37.3%
1 121
 
5.0%
2 78
 
3.2%
3 59
 
2.4%
4 48
 
2.0%
5 39
 
1.6%
6 26
 
1.1%
7 20
 
0.8%
8 25
 
1.0%
9 25
 
1.0%
ValueCountFrequency (%)
60201 1
< 0.1%
17898 1
< 0.1%
14213 1
< 0.1%
11901 1
< 0.1%
8212 1
< 0.1%
8165 1
< 0.1%
7745 1
< 0.1%
7619 1
< 0.1%
5675 1
< 0.1%
5196 1
< 0.1%

2009-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct363
Distinct (%)16.6%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean189.82436
Minimum0
Maximum78877
Zeros896
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:18.900912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile483.9
Maximum78877
Range78877
Interquartile range (IQR)36

Descriptive statistics

Standard deviation2007.2341
Coefficient of variation (CV)10.574165
Kurtosis1100.6125
Mean189.82436
Median Absolute Deviation (MAD)3
Skewness29.922222
Sum416095
Variance4028988.8
MonotonicityNot monotonic
2024-04-06T18:03:19.163267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 896
37.1%
1 126
 
5.2%
2 69
 
2.9%
3 62
 
2.6%
4 51
 
2.1%
5 41
 
1.7%
6 28
 
1.2%
7 28
 
1.2%
12 26
 
1.1%
10 26
 
1.1%
Other values (353) 839
34.7%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 896
37.1%
1 126
 
5.2%
2 69
 
2.9%
3 62
 
2.6%
4 51
 
2.1%
5 41
 
1.7%
6 28
 
1.2%
7 28
 
1.2%
8 16
 
0.7%
9 18
 
0.7%
ValueCountFrequency (%)
78877 1
< 0.1%
25680 1
< 0.1%
17650 1
< 0.1%
17019 1
< 0.1%
16181 1
< 0.1%
14518 1
< 0.1%
13632 1
< 0.1%
13415 1
< 0.1%
13221 1
< 0.1%
8204 1
< 0.1%

2009-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct404
Distinct (%)18.4%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean212.90009
Minimum0
Maximum92424
Zeros860
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:19.392323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q350
95-th percentile658.9
Maximum92424
Range92424
Interquartile range (IQR)50

Descriptive statistics

Standard deviation2222.7577
Coefficient of variation (CV)10.440379
Kurtosis1365.7793
Mean212.90009
Median Absolute Deviation (MAD)3.5
Skewness34.120877
Sum466677
Variance4940651.9
MonotonicityNot monotonic
2024-04-06T18:03:19.612229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 860
35.6%
1 114
 
4.7%
2 71
 
2.9%
5 52
 
2.2%
3 51
 
2.1%
4 39
 
1.6%
6 26
 
1.1%
9 25
 
1.0%
8 23
 
1.0%
14 22
 
0.9%
Other values (394) 909
37.6%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 860
35.6%
1 114
 
4.7%
2 71
 
2.9%
3 51
 
2.1%
4 39
 
1.6%
5 52
 
2.2%
6 26
 
1.1%
7 18
 
0.7%
8 23
 
1.0%
9 25
 
1.0%
ValueCountFrequency (%)
92424 1
< 0.1%
25700 1
< 0.1%
18919 1
< 0.1%
16614 1
< 0.1%
12437 1
< 0.1%
11696 1
< 0.1%
11278 1
< 0.1%
11038 1
< 0.1%
9927 1
< 0.1%
9585 1
< 0.1%

2010-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct348
Distinct (%)15.9%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean154.18659
Minimum0
Maximum63561
Zeros942
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:19.822701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q327
95-th percentile485
Maximum63561
Range63561
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1560.2291
Coefficient of variation (CV)10.119098
Kurtosis1261.18
Mean154.18659
Median Absolute Deviation (MAD)2
Skewness32.442721
Sum337977
Variance2434315
MonotonicityNot monotonic
2024-04-06T18:03:20.044123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
39.0%
1 124
 
5.1%
2 82
 
3.4%
5 52
 
2.2%
3 49
 
2.0%
7 37
 
1.5%
6 37
 
1.5%
4 35
 
1.4%
11 24
 
1.0%
8 24
 
1.0%
Other values (338) 786
32.5%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 942
39.0%
1 124
 
5.1%
2 82
 
3.4%
3 49
 
2.0%
4 35
 
1.4%
5 52
 
2.2%
6 37
 
1.5%
7 37
 
1.5%
8 24
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
63561 1
< 0.1%
17043 1
< 0.1%
15980 1
< 0.1%
13408 1
< 0.1%
11393 1
< 0.1%
7969 1
< 0.1%
7514 1
< 0.1%
6706 1
< 0.1%
6338 1
< 0.1%
5818 1
< 0.1%

2010-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)15.4%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean139.38047
Minimum0
Maximum61271
Zeros931
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:20.293841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q331
95-th percentile476.45
Maximum61271
Range61271
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1466.4566
Coefficient of variation (CV)10.521248
Kurtosis1389.7663
Mean139.38047
Median Absolute Deviation (MAD)2
Skewness34.444646
Sum305522
Variance2150494.9
MonotonicityNot monotonic
2024-04-06T18:03:20.910735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
38.5%
1 115
 
4.8%
2 95
 
3.9%
4 58
 
2.4%
3 49
 
2.0%
5 41
 
1.7%
7 29
 
1.2%
6 28
 
1.2%
9 24
 
1.0%
8 22
 
0.9%
Other values (327) 800
33.1%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 931
38.5%
1 115
 
4.8%
2 95
 
3.9%
3 49
 
2.0%
4 58
 
2.4%
5 41
 
1.7%
6 28
 
1.2%
7 29
 
1.2%
8 22
 
0.9%
9 24
 
1.0%
ValueCountFrequency (%)
61271 1
< 0.1%
14584 1
< 0.1%
12584 1
< 0.1%
12560 1
< 0.1%
7850 1
< 0.1%
7824 1
< 0.1%
7510 1
< 0.1%
7266 1
< 0.1%
6622 1
< 0.1%
5989 1
< 0.1%

2010-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct381
Distinct (%)17.4%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean200.67016
Minimum0
Maximum93277
Zeros890
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:21.159699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile663.75
Maximum93277
Range93277
Interquartile range (IQR)40

Descriptive statistics

Standard deviation2199.9721
Coefficient of variation (CV)10.963125
Kurtosis1470.4971
Mean200.67016
Median Absolute Deviation (MAD)3
Skewness35.646748
Sum439869
Variance4839877.3
MonotonicityNot monotonic
2024-04-06T18:03:21.408919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 890
36.8%
1 109
 
4.5%
2 76
 
3.1%
3 47
 
1.9%
4 44
 
1.8%
5 39
 
1.6%
6 35
 
1.4%
7 31
 
1.3%
12 28
 
1.2%
8 26
 
1.1%
Other values (371) 867
35.9%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 890
36.8%
1 109
 
4.5%
2 76
 
3.1%
3 47
 
1.9%
4 44
 
1.8%
5 39
 
1.6%
6 35
 
1.4%
7 31
 
1.3%
8 26
 
1.1%
9 23
 
1.0%
ValueCountFrequency (%)
93277 1
< 0.1%
18442 1
< 0.1%
18351 1
< 0.1%
15096 1
< 0.1%
13694 1
< 0.1%
11786 1
< 0.1%
10285 1
< 0.1%
10181 1
< 0.1%
9953 1
< 0.1%
9665 1
< 0.1%

2010-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct367
Distinct (%)16.7%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean190.38321
Minimum0
Maximum87603
Zeros887
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:21.623906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338.25
95-th percentile624.45
Maximum87603
Range87603
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation2069.653
Coefficient of variation (CV)10.870985
Kurtosis1460.7208
Mean190.38321
Median Absolute Deviation (MAD)3
Skewness35.493875
Sum417320
Variance4283463.5
MonotonicityNot monotonic
2024-04-06T18:03:21.859055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 887
36.7%
1 110
 
4.6%
2 78
 
3.2%
3 57
 
2.4%
5 53
 
2.2%
4 41
 
1.7%
6 33
 
1.4%
8 28
 
1.2%
10 28
 
1.2%
7 27
 
1.1%
Other values (357) 850
35.2%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 887
36.7%
1 110
 
4.6%
2 78
 
3.2%
3 57
 
2.4%
4 41
 
1.7%
5 53
 
2.2%
6 33
 
1.4%
7 27
 
1.1%
8 28
 
1.2%
9 18
 
0.7%
ValueCountFrequency (%)
87603 1
< 0.1%
17557 1
< 0.1%
17146 1
< 0.1%
15252 1
< 0.1%
11953 1
< 0.1%
11109 1
< 0.1%
10748 1
< 0.1%
9961 1
< 0.1%
9456 1
< 0.1%
8646 1
< 0.1%

2010-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct359
Distinct (%)16.4%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean164.08349
Minimum0
Maximum67889
Zeros921
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:22.098675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q336
95-th percentile490.45
Maximum67889
Range67889
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1652.4386
Coefficient of variation (CV)10.070718
Kurtosis1303.8581
Mean164.08349
Median Absolute Deviation (MAD)2
Skewness33.130664
Sum359671
Variance2730553.2
MonotonicityNot monotonic
2024-04-06T18:03:22.354867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
38.1%
1 106
 
4.4%
2 73
 
3.0%
3 65
 
2.7%
4 47
 
1.9%
5 45
 
1.9%
8 35
 
1.4%
7 33
 
1.4%
6 28
 
1.2%
12 21
 
0.9%
Other values (349) 818
33.9%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 921
38.1%
1 106
 
4.4%
2 73
 
3.0%
3 65
 
2.7%
4 47
 
1.9%
5 45
 
1.9%
6 28
 
1.2%
7 33
 
1.4%
8 35
 
1.4%
9 14
 
0.6%
ValueCountFrequency (%)
67889 1
< 0.1%
19940 1
< 0.1%
14805 1
< 0.1%
12821 1
< 0.1%
10098 1
< 0.1%
8983 1
< 0.1%
7924 1
< 0.1%
7797 1
< 0.1%
7158 1
< 0.1%
5649 1
< 0.1%

2010-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct369
Distinct (%)16.8%
Missing224
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean179.25365
Minimum0
Maximum73251
Zeros883
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:22.604251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338
95-th percentile554.45
Maximum73251
Range73251
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1783.7763
Coefficient of variation (CV)9.9511296
Kurtosis1299.6522
Mean179.25365
Median Absolute Deviation (MAD)3
Skewness33.025451
Sum392924
Variance3181857.9
MonotonicityNot monotonic
2024-04-06T18:03:22.874176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 883
36.5%
1 133
 
5.5%
2 70
 
2.9%
4 55
 
2.3%
3 52
 
2.2%
5 46
 
1.9%
6 33
 
1.4%
7 30
 
1.2%
8 27
 
1.1%
10 23
 
1.0%
Other values (359) 840
34.8%
(Missing) 224
 
9.3%
ValueCountFrequency (%)
0 883
36.5%
1 133
 
5.5%
2 70
 
2.9%
3 52
 
2.2%
4 55
 
2.3%
5 46
 
1.9%
6 33
 
1.4%
7 30
 
1.2%
8 27
 
1.1%
9 19
 
0.8%
ValueCountFrequency (%)
73251 1
< 0.1%
19779 1
< 0.1%
15610 1
< 0.1%
15445 1
< 0.1%
11022 1
< 0.1%
10269 1
< 0.1%
9918 1
< 0.1%
9129 1
< 0.1%
8146 1
< 0.1%
6726 1
< 0.1%

2010-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct346
Distinct (%)15.6%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean137.57401
Minimum0
Maximum56147
Zeros924
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:23.127221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q331
95-th percentile458.25
Maximum56147
Range56147
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1368.2662
Coefficient of variation (CV)9.9456741
Kurtosis1284.9834
Mean137.57401
Median Absolute Deviation (MAD)2
Skewness32.820446
Sum304864
Variance1872152.5
MonotonicityNot monotonic
2024-04-06T18:03:23.344542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 924
38.2%
1 109
 
4.5%
2 82
 
3.4%
3 58
 
2.4%
4 50
 
2.1%
7 43
 
1.8%
5 42
 
1.7%
6 36
 
1.5%
8 33
 
1.4%
10 24
 
1.0%
Other values (336) 815
33.7%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 924
38.2%
1 109
 
4.5%
2 82
 
3.4%
3 58
 
2.4%
4 50
 
2.1%
5 42
 
1.7%
6 36
 
1.5%
7 43
 
1.8%
8 33
 
1.4%
9 20
 
0.8%
ValueCountFrequency (%)
56147 1
< 0.1%
15654 1
< 0.1%
14521 1
< 0.1%
11075 1
< 0.1%
8588 1
< 0.1%
8156 1
< 0.1%
7688 1
< 0.1%
6060 1
< 0.1%
5262 1
< 0.1%
5140 1
< 0.1%

2010-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct335
Distinct (%)15.1%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean133.32356
Minimum0
Maximum56045
Zeros929
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:23.594738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile407.5
Maximum56045
Range56045
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1364.8716
Coefficient of variation (CV)10.237288
Kurtosis1288.1944
Mean133.32356
Median Absolute Deviation (MAD)2
Skewness32.849754
Sum295445
Variance1862874.5
MonotonicityNot monotonic
2024-04-06T18:03:23.857243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 929
38.5%
1 119
 
4.9%
2 76
 
3.1%
3 74
 
3.1%
4 59
 
2.4%
7 37
 
1.5%
5 37
 
1.5%
6 29
 
1.2%
11 26
 
1.1%
8 25
 
1.0%
Other values (325) 805
33.3%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 929
38.5%
1 119
 
4.9%
2 76
 
3.1%
3 74
 
3.1%
4 59
 
2.4%
5 37
 
1.5%
6 29
 
1.2%
7 37
 
1.5%
8 25
 
1.0%
9 22
 
0.9%
ValueCountFrequency (%)
56045 1
< 0.1%
16291 1
< 0.1%
12189 1
< 0.1%
11929 1
< 0.1%
9230 1
< 0.1%
8213 1
< 0.1%
6719 1
< 0.1%
6104 1
< 0.1%
5561 1
< 0.1%
4825 1
< 0.1%

2010-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct318
Distinct (%)14.4%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean109.94449
Minimum0
Maximum42212
Zeros956
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:24.069163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile346.25
Maximum42212
Range42212
Interquartile range (IQR)24

Descriptive statistics

Standard deviation1044.8974
Coefficient of variation (CV)9.5038632
Kurtosis1209.0525
Mean109.94449
Median Absolute Deviation (MAD)2
Skewness31.556271
Sum243637
Variance1091810.7
MonotonicityNot monotonic
2024-04-06T18:03:24.269590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 956
39.6%
1 117
 
4.8%
2 87
 
3.6%
3 79
 
3.3%
4 52
 
2.2%
5 45
 
1.9%
6 38
 
1.6%
7 35
 
1.4%
8 30
 
1.2%
16 21
 
0.9%
Other values (308) 756
31.3%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 956
39.6%
1 117
 
4.8%
2 87
 
3.6%
3 79
 
3.3%
4 52
 
2.2%
5 45
 
1.9%
6 38
 
1.6%
7 35
 
1.4%
8 30
 
1.2%
9 12
 
0.5%
ValueCountFrequency (%)
42212 1
< 0.1%
13002 1
< 0.1%
10267 1
< 0.1%
8197 1
< 0.1%
6693 1
< 0.1%
6505 1
< 0.1%
6070 1
< 0.1%
5348 1
< 0.1%
4701 1
< 0.1%
4031 1
< 0.1%

2010-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct334
Distinct (%)15.1%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean136.8204
Minimum0
Maximum59093
Zeros926
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:24.495870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q330
95-th percentile397.25
Maximum59093
Range59093
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1428.2701
Coefficient of variation (CV)10.439015
Kurtosis1326.2518
Mean136.8204
Median Absolute Deviation (MAD)2
Skewness33.476245
Sum303194
Variance2039955.5
MonotonicityNot monotonic
2024-04-06T18:03:24.736393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 926
38.3%
1 106
 
4.4%
2 93
 
3.8%
3 64
 
2.6%
4 52
 
2.2%
6 43
 
1.8%
5 42
 
1.7%
8 26
 
1.1%
9 25
 
1.0%
7 23
 
1.0%
Other values (324) 816
33.8%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 926
38.3%
1 106
 
4.4%
2 93
 
3.8%
3 64
 
2.6%
4 52
 
2.2%
5 42
 
1.7%
6 43
 
1.8%
7 23
 
1.0%
8 26
 
1.1%
9 25
 
1.0%
ValueCountFrequency (%)
59093 1
< 0.1%
15094 1
< 0.1%
14056 1
< 0.1%
13418 1
< 0.1%
9858 1
< 0.1%
8464 1
< 0.1%
6935 1
< 0.1%
6421 1
< 0.1%
5044 1
< 0.1%
4304 1
< 0.1%

2010-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct354
Distinct (%)16.0%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean160.53294
Minimum0
Maximum71884
Zeros914
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:24.989042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334.25
95-th percentile488.25
Maximum71884
Range71884
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation1708.6228
Coefficient of variation (CV)10.64344
Kurtosis1412.1648
Mean160.53294
Median Absolute Deviation (MAD)3
Skewness34.701864
Sum355741
Variance2919391.9
MonotonicityNot monotonic
2024-04-06T18:03:25.196299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 914
37.8%
1 105
 
4.3%
2 77
 
3.2%
3 54
 
2.2%
4 47
 
1.9%
5 45
 
1.9%
10 38
 
1.6%
7 37
 
1.5%
6 36
 
1.5%
8 32
 
1.3%
Other values (344) 831
34.4%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 914
37.8%
1 105
 
4.3%
2 77
 
3.2%
3 54
 
2.2%
4 47
 
1.9%
5 45
 
1.9%
6 36
 
1.5%
7 37
 
1.5%
8 32
 
1.3%
9 19
 
0.8%
ValueCountFrequency (%)
71884 1
< 0.1%
15935 1
< 0.1%
14278 1
< 0.1%
14020 1
< 0.1%
12024 1
< 0.1%
9065 1
< 0.1%
8420 1
< 0.1%
7295 1
< 0.1%
7115 1
< 0.1%
6847 1
< 0.1%

2010-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct402
Distinct (%)18.1%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean181.60063
Minimum0
Maximum69512
Zeros882
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:25.410658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q349
95-th percentile591.75
Maximum69512
Range69512
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1709.0823
Coefficient of variation (CV)9.4112135
Kurtosis1241.8207
Mean181.60063
Median Absolute Deviation (MAD)4
Skewness32.135693
Sum402427
Variance2920962.4
MonotonicityNot monotonic
2024-04-06T18:03:25.625389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 882
36.5%
1 93
 
3.8%
2 74
 
3.1%
3 55
 
2.3%
4 43
 
1.8%
5 38
 
1.6%
6 34
 
1.4%
7 29
 
1.2%
9 26
 
1.1%
8 24
 
1.0%
Other values (392) 918
38.0%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 882
36.5%
1 93
 
3.8%
2 74
 
3.1%
3 55
 
2.3%
4 43
 
1.8%
5 38
 
1.6%
6 34
 
1.4%
7 29
 
1.2%
8 24
 
1.0%
9 26
 
1.1%
ValueCountFrequency (%)
69512 1
< 0.1%
20000 1
< 0.1%
19129 1
< 0.1%
14302 1
< 0.1%
9425 1
< 0.1%
9402 1
< 0.1%
8850 1
< 0.1%
8147 1
< 0.1%
7869 1
< 0.1%
7841 1
< 0.1%

2011-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct346
Distinct (%)15.6%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean135.5546
Minimum0
Maximum55604
Zeros940
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:25.854891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q332
95-th percentile425.25
Maximum55604
Range55604
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1362.3152
Coefficient of variation (CV)10.049937
Kurtosis1259.356
Mean135.5546
Median Absolute Deviation (MAD)2
Skewness32.432062
Sum300389
Variance1855902.8
MonotonicityNot monotonic
2024-04-06T18:03:26.057997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 940
38.9%
1 124
 
5.1%
2 66
 
2.7%
4 61
 
2.5%
3 57
 
2.4%
5 37
 
1.5%
9 30
 
1.2%
7 30
 
1.2%
6 29
 
1.2%
8 23
 
1.0%
Other values (336) 819
33.9%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 940
38.9%
1 124
 
5.1%
2 66
 
2.7%
3 57
 
2.4%
4 61
 
2.5%
5 37
 
1.5%
6 29
 
1.2%
7 30
 
1.2%
8 23
 
1.0%
9 30
 
1.2%
ValueCountFrequency (%)
55604 1
< 0.1%
16159 1
< 0.1%
14125 1
< 0.1%
11189 1
< 0.1%
10107 1
< 0.1%
8088 1
< 0.1%
6102 1
< 0.1%
5795 1
< 0.1%
5605 1
< 0.1%
5335 1
< 0.1%

2011-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)14.5%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean131.21119
Minimum0
Maximum60053
Zeros955
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:26.281967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile380.75
Maximum60053
Range60053
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1435.3534
Coefficient of variation (CV)10.939261
Kurtosis1385.4418
Mean131.21119
Median Absolute Deviation (MAD)2
Skewness34.411727
Sum290764
Variance2060239.4
MonotonicityNot monotonic
2024-04-06T18:03:26.528108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
39.5%
1 117
 
4.8%
2 80
 
3.3%
3 68
 
2.8%
4 55
 
2.3%
6 47
 
1.9%
5 36
 
1.5%
7 33
 
1.4%
11 29
 
1.2%
8 25
 
1.0%
Other values (311) 771
31.9%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 955
39.5%
1 117
 
4.8%
2 80
 
3.3%
3 68
 
2.8%
4 55
 
2.3%
5 36
 
1.5%
6 47
 
1.9%
7 33
 
1.4%
8 25
 
1.0%
9 16
 
0.7%
ValueCountFrequency (%)
60053 1
< 0.1%
16001 1
< 0.1%
12868 1
< 0.1%
11747 1
< 0.1%
9991 1
< 0.1%
7263 1
< 0.1%
7105 1
< 0.1%
5719 1
< 0.1%
5483 1
< 0.1%
5467 1
< 0.1%

2011-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct391
Distinct (%)17.6%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean215.38673
Minimum0
Maximum89197
Zeros889
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:27.181305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile655.5
Maximum89197
Range89197
Interquartile range (IQR)43

Descriptive statistics

Standard deviation2188.1422
Coefficient of variation (CV)10.159132
Kurtosis1247.1888
Mean215.38673
Median Absolute Deviation (MAD)3
Skewness32.031473
Sum477297
Variance4787966.3
MonotonicityNot monotonic
2024-04-06T18:03:27.421097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 889
36.8%
1 105
 
4.3%
2 72
 
3.0%
3 58
 
2.4%
5 48
 
2.0%
8 42
 
1.7%
4 41
 
1.7%
6 40
 
1.7%
7 35
 
1.4%
12 21
 
0.9%
Other values (381) 865
35.8%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 889
36.8%
1 105
 
4.3%
2 72
 
3.0%
3 58
 
2.4%
4 41
 
1.7%
5 48
 
2.0%
6 40
 
1.7%
7 35
 
1.4%
8 42
 
1.7%
9 17
 
0.7%
ValueCountFrequency (%)
89197 1
< 0.1%
21050 1
< 0.1%
17826 1
< 0.1%
17607 1
< 0.1%
16826 1
< 0.1%
14481 1
< 0.1%
14443 1
< 0.1%
13710 1
< 0.1%
11109 1
< 0.1%
10973 1
< 0.1%

2011-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct372
Distinct (%)16.8%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean176.86101
Minimum0
Maximum79320
Zeros875
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:27.664251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile549
Maximum79320
Range79320
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1881.1919
Coefficient of variation (CV)10.636555
Kurtosis1424.1983
Mean176.86101
Median Absolute Deviation (MAD)3
Skewness34.883695
Sum391924
Variance3538882.9
MonotonicityNot monotonic
2024-04-06T18:03:27.900932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 875
36.2%
1 100
 
4.1%
2 87
 
3.6%
5 54
 
2.2%
3 53
 
2.2%
4 52
 
2.2%
6 45
 
1.9%
7 35
 
1.4%
8 31
 
1.3%
10 23
 
1.0%
Other values (362) 861
35.6%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 875
36.2%
1 100
 
4.1%
2 87
 
3.6%
3 53
 
2.2%
4 52
 
2.2%
5 54
 
2.2%
6 45
 
1.9%
7 35
 
1.4%
8 31
 
1.3%
9 21
 
0.9%
ValueCountFrequency (%)
79320 1
< 0.1%
17287 1
< 0.1%
15656 1
< 0.1%
14247 1
< 0.1%
13204 1
< 0.1%
11140 1
< 0.1%
10276 1
< 0.1%
8306 1
< 0.1%
7965 1
< 0.1%
7282 1
< 0.1%

2011-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct364
Distinct (%)16.4%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean173.07897
Minimum0
Maximum76281
Zeros893
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:28.148598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile529.5
Maximum76281
Range76281
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1814.7084
Coefficient of variation (CV)10.484858
Kurtosis1407.5054
Mean173.07897
Median Absolute Deviation (MAD)3
Skewness34.640836
Sum383543
Variance3293166.6
MonotonicityNot monotonic
2024-04-06T18:03:28.388240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 893
37.0%
1 124
 
5.1%
2 84
 
3.5%
4 54
 
2.2%
5 44
 
1.8%
3 36
 
1.5%
6 32
 
1.3%
7 31
 
1.3%
9 31
 
1.3%
8 31
 
1.3%
Other values (354) 856
35.4%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 893
37.0%
1 124
 
5.1%
2 84
 
3.5%
3 36
 
1.5%
4 54
 
2.2%
5 44
 
1.8%
6 32
 
1.3%
7 31
 
1.3%
8 31
 
1.3%
9 31
 
1.3%
ValueCountFrequency (%)
76281 1
< 0.1%
17554 1
< 0.1%
15326 1
< 0.1%
14530 1
< 0.1%
12046 1
< 0.1%
10829 1
< 0.1%
8949 1
< 0.1%
8213 1
< 0.1%
7617 1
< 0.1%
7471 1
< 0.1%

2011-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)17.1%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean178.55415
Minimum0
Maximum80741
Zeros907
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:28.630541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile561.75
Maximum80741
Range80741
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1916.6325
Coefficient of variation (CV)10.734181
Kurtosis1420.169
Mean178.55415
Median Absolute Deviation (MAD)3
Skewness34.863109
Sum395676
Variance3673480.1
MonotonicityNot monotonic
2024-04-06T18:03:28.929249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 907
37.5%
1 98
 
4.1%
3 63
 
2.6%
2 61
 
2.5%
6 47
 
1.9%
4 42
 
1.7%
5 39
 
1.6%
7 33
 
1.4%
11 24
 
1.0%
14 24
 
1.0%
Other values (369) 878
36.3%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 907
37.5%
1 98
 
4.1%
2 61
 
2.5%
3 63
 
2.6%
4 42
 
1.7%
5 39
 
1.6%
6 47
 
1.9%
7 33
 
1.4%
8 19
 
0.8%
9 21
 
0.9%
ValueCountFrequency (%)
80741 1
< 0.1%
18640 1
< 0.1%
15636 1
< 0.1%
15497 1
< 0.1%
14261 1
< 0.1%
9534 1
< 0.1%
9476 1
< 0.1%
9205 1
< 0.1%
8353 1
< 0.1%
7604 1
< 0.1%

2011-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct354
Distinct (%)16.0%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean135.10199
Minimum0
Maximum54826
Zeros918
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:29.426952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334
95-th percentile419.25
Maximum54826
Range54826
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1336.7978
Coefficient of variation (CV)9.8947308
Kurtosis1282.7616
Mean135.10199
Median Absolute Deviation (MAD)3
Skewness32.801647
Sum299386
Variance1787028.3
MonotonicityNot monotonic
2024-04-06T18:03:29.724956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918
38.0%
1 116
 
4.8%
2 68
 
2.8%
3 62
 
2.6%
4 49
 
2.0%
5 43
 
1.8%
6 35
 
1.4%
7 34
 
1.4%
8 27
 
1.1%
13 21
 
0.9%
Other values (344) 843
34.9%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 918
38.0%
1 116
 
4.8%
2 68
 
2.8%
3 62
 
2.6%
4 49
 
2.0%
5 43
 
1.8%
6 35
 
1.4%
7 34
 
1.4%
8 27
 
1.1%
9 19
 
0.8%
ValueCountFrequency (%)
54826 1
< 0.1%
15197 1
< 0.1%
14913 1
< 0.1%
10135 1
< 0.1%
8386 1
< 0.1%
7886 1
< 0.1%
7242 1
< 0.1%
5855 1
< 0.1%
5818 1
< 0.1%
4741 1
< 0.1%

2011-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct349
Distinct (%)15.7%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean140.48105
Minimum0
Maximum58613
Zeros920
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:29.975080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q335
95-th percentile416
Maximum58613
Range58613
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1417.3016
Coefficient of variation (CV)10.088917
Kurtosis1322.4272
Mean140.48105
Median Absolute Deviation (MAD)2
Skewness33.36626
Sum311306
Variance2008744
MonotonicityNot monotonic
2024-04-06T18:03:30.255789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 920
38.1%
1 100
 
4.1%
2 95
 
3.9%
3 65
 
2.7%
4 46
 
1.9%
5 35
 
1.4%
6 31
 
1.3%
7 29
 
1.2%
8 24
 
1.0%
9 23
 
1.0%
Other values (339) 848
35.1%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 920
38.1%
1 100
 
4.1%
2 95
 
3.9%
3 65
 
2.7%
4 46
 
1.9%
5 35
 
1.4%
6 31
 
1.3%
7 29
 
1.2%
8 24
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
58613 1
< 0.1%
14945 1
< 0.1%
13651 1
< 0.1%
11929 1
< 0.1%
10364 1
< 0.1%
9297 1
< 0.1%
6542 1
< 0.1%
6240 1
< 0.1%
5797 1
< 0.1%
4889 1
< 0.1%

2011-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct334
Distinct (%)15.1%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean120.62049
Minimum0
Maximum48946
Zeros925
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:30.479615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332.25
95-th percentile366.5
Maximum48946
Range48946
Interquartile range (IQR)32.25

Descriptive statistics

Standard deviation1197.5538
Coefficient of variation (CV)9.9282788
Kurtosis1267.2164
Mean120.62049
Median Absolute Deviation (MAD)3
Skewness32.608798
Sum267295
Variance1434135.2
MonotonicityNot monotonic
2024-04-06T18:03:30.714195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 925
38.3%
1 111
 
4.6%
3 74
 
3.1%
2 70
 
2.9%
4 55
 
2.3%
6 42
 
1.7%
5 36
 
1.5%
7 29
 
1.2%
8 23
 
1.0%
9 23
 
1.0%
Other values (324) 828
34.3%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 925
38.3%
1 111
 
4.6%
2 70
 
2.9%
3 74
 
3.1%
4 55
 
2.3%
5 36
 
1.5%
6 42
 
1.7%
7 29
 
1.2%
8 23
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
48946 1
< 0.1%
14225 1
< 0.1%
12890 1
< 0.1%
10721 1
< 0.1%
8500 1
< 0.1%
6606 1
< 0.1%
5626 1
< 0.1%
5296 1
< 0.1%
3817 1
< 0.1%
3787 1
< 0.1%

2011-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct341
Distinct (%)15.4%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean125.56634
Minimum0
Maximum51567
Zeros909
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:30.931505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q333.25
95-th percentile415
Maximum51567
Range51567
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation1251.5471
Coefficient of variation (CV)9.9672185
Kurtosis1305.5667
Mean125.56634
Median Absolute Deviation (MAD)2
Skewness33.169587
Sum278255
Variance1566370.2
MonotonicityNot monotonic
2024-04-06T18:03:31.203593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 909
37.6%
1 128
 
5.3%
2 76
 
3.1%
3 54
 
2.2%
4 47
 
1.9%
5 42
 
1.7%
8 36
 
1.5%
6 32
 
1.3%
7 27
 
1.1%
11 26
 
1.1%
Other values (331) 839
34.7%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 909
37.6%
1 128
 
5.3%
2 76
 
3.1%
3 54
 
2.2%
4 47
 
1.9%
5 42
 
1.7%
6 32
 
1.3%
7 27
 
1.1%
8 36
 
1.5%
9 17
 
0.7%
ValueCountFrequency (%)
51567 1
< 0.1%
14441 1
< 0.1%
12607 1
< 0.1%
10103 1
< 0.1%
9469 1
< 0.1%
7444 1
< 0.1%
5856 1
< 0.1%
5164 1
< 0.1%
4559 1
< 0.1%
4413 1
< 0.1%

2011-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct351
Distinct (%)15.8%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean148.65253
Minimum0
Maximum58808
Zeros900
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:31.433691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q335
95-th percentile452.25
Maximum58808
Range58808
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1452.7061
Coefficient of variation (CV)9.772495
Kurtosis1222.5972
Mean148.65253
Median Absolute Deviation (MAD)3
Skewness31.908968
Sum329414
Variance2110354.9
MonotonicityNot monotonic
2024-04-06T18:03:31.702439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
37.3%
1 122
 
5.0%
2 84
 
3.5%
4 56
 
2.3%
3 47
 
1.9%
7 34
 
1.4%
5 33
 
1.4%
6 30
 
1.2%
9 28
 
1.2%
8 21
 
0.9%
Other values (341) 861
35.6%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 900
37.3%
1 122
 
5.0%
2 84
 
3.5%
3 47
 
1.9%
4 56
 
2.3%
5 33
 
1.4%
6 30
 
1.2%
7 34
 
1.4%
8 21
 
0.9%
9 28
 
1.2%
ValueCountFrequency (%)
58808 1
< 0.1%
18457 1
< 0.1%
16142 1
< 0.1%
11844 1
< 0.1%
9957 1
< 0.1%
8514 1
< 0.1%
7157 1
< 0.1%
6803 1
< 0.1%
5479 1
< 0.1%
4982 1
< 0.1%

2011-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct403
Distinct (%)18.2%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean175.23872
Minimum0
Maximum68719
Zeros905
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:31.947113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile552.75
Maximum68719
Range68719
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1694.3796
Coefficient of variation (CV)9.6689798
Kurtosis1230.8898
Mean175.23872
Median Absolute Deviation (MAD)3
Skewness32.023849
Sum388329
Variance2870922.3
MonotonicityNot monotonic
2024-04-06T18:03:32.200154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 905
37.5%
1 98
 
4.1%
2 64
 
2.6%
4 53
 
2.2%
3 42
 
1.7%
5 38
 
1.6%
7 33
 
1.4%
9 32
 
1.3%
6 29
 
1.2%
13 27
 
1.1%
Other values (393) 895
37.0%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 905
37.5%
1 98
 
4.1%
2 64
 
2.6%
3 42
 
1.7%
4 53
 
2.2%
5 38
 
1.6%
6 29
 
1.2%
7 33
 
1.4%
8 24
 
1.0%
9 32
 
1.3%
ValueCountFrequency (%)
68719 1
< 0.1%
21406 1
< 0.1%
19027 1
< 0.1%
13254 1
< 0.1%
10842 1
< 0.1%
8769 1
< 0.1%
7556 1
< 0.1%
7481 1
< 0.1%
7247 1
< 0.1%
7023 1
< 0.1%

2012-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct326
Distinct (%)14.7%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean119.0361
Minimum0
Maximum52164
Zeros950
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:32.468787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile389
Maximum52164
Range52164
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1248.8254
Coefficient of variation (CV)10.491148
Kurtosis1374.6387
Mean119.0361
Median Absolute Deviation (MAD)2
Skewness34.187432
Sum263784
Variance1559564.9
MonotonicityNot monotonic
2024-04-06T18:03:32.702076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 950
39.3%
1 119
 
4.9%
2 77
 
3.2%
3 68
 
2.8%
6 52
 
2.2%
4 39
 
1.6%
5 36
 
1.5%
8 32
 
1.3%
7 28
 
1.2%
12 27
 
1.1%
Other values (316) 788
32.6%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 950
39.3%
1 119
 
4.9%
2 77
 
3.2%
3 68
 
2.8%
4 39
 
1.6%
5 36
 
1.5%
6 52
 
2.2%
7 28
 
1.2%
8 32
 
1.3%
9 19
 
0.8%
ValueCountFrequency (%)
52164 1
< 0.1%
12450 1
< 0.1%
11095 1
< 0.1%
10896 1
< 0.1%
9486 1
< 0.1%
6892 1
< 0.1%
6199 1
< 0.1%
6174 1
< 0.1%
4922 1
< 0.1%
4202 1
< 0.1%

2012-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct361
Distinct (%)16.3%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean152.06814
Minimum0
Maximum58840
Zeros920
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:32.940796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile496.25
Maximum58840
Range58840
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1470.9141
Coefficient of variation (CV)9.6727302
Kurtosis1172.3034
Mean152.06814
Median Absolute Deviation (MAD)3
Skewness31.19411
Sum336983
Variance2163588.3
MonotonicityNot monotonic
2024-04-06T18:03:33.178692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 920
38.1%
1 115
 
4.8%
2 72
 
3.0%
3 63
 
2.6%
6 46
 
1.9%
4 43
 
1.8%
5 38
 
1.6%
9 30
 
1.2%
8 29
 
1.2%
7 23
 
1.0%
Other values (351) 837
34.6%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 920
38.1%
1 115
 
4.8%
2 72
 
3.0%
3 63
 
2.6%
4 43
 
1.8%
5 38
 
1.6%
6 46
 
1.9%
7 23
 
1.0%
8 29
 
1.2%
9 30
 
1.2%
ValueCountFrequency (%)
58840 1
< 0.1%
20514 1
< 0.1%
17060 1
< 0.1%
11048 1
< 0.1%
10370 1
< 0.1%
8099 1
< 0.1%
7652 1
< 0.1%
6451 1
< 0.1%
5868 1
< 0.1%
4466 1
< 0.1%

2012-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct382
Distinct (%)17.2%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean171.54287
Minimum0
Maximum77882
Zeros904
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:33.419358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q335
95-th percentile563
Maximum77882
Range77882
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1846.7633
Coefficient of variation (CV)10.765608
Kurtosis1426.3282
Mean171.54287
Median Absolute Deviation (MAD)3
Skewness34.973611
Sum380139
Variance3410534.6
MonotonicityNot monotonic
2024-04-06T18:03:33.649578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 904
37.4%
1 103
 
4.3%
2 80
 
3.3%
3 63
 
2.6%
4 38
 
1.6%
6 37
 
1.5%
5 33
 
1.4%
8 30
 
1.2%
7 30
 
1.2%
18 26
 
1.1%
Other values (372) 872
36.1%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 904
37.4%
1 103
 
4.3%
2 80
 
3.3%
3 63
 
2.6%
4 38
 
1.6%
5 33
 
1.4%
6 37
 
1.5%
7 30
 
1.2%
8 30
 
1.2%
9 16
 
0.7%
ValueCountFrequency (%)
77882 1
< 0.1%
17414 1
< 0.1%
15749 1
< 0.1%
14458 1
< 0.1%
14103 1
< 0.1%
9792 1
< 0.1%
9556 1
< 0.1%
9542 1
< 0.1%
8486 1
< 0.1%
5708 1
< 0.1%

2012-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct353
Distinct (%)15.9%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean161.92464
Minimum0
Maximum63722
Zeros919
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:34.349075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334
95-th percentile491.25
Maximum63722
Range63722
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1589.2533
Coefficient of variation (CV)9.8147711
Kurtosis1172.2747
Mean161.92464
Median Absolute Deviation (MAD)3
Skewness30.913627
Sum358825
Variance2525726
MonotonicityNot monotonic
2024-04-06T18:03:34.586806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 919
38.0%
1 106
 
4.4%
2 77
 
3.2%
3 64
 
2.6%
4 43
 
1.8%
6 38
 
1.6%
5 36
 
1.5%
7 31
 
1.3%
9 24
 
1.0%
12 24
 
1.0%
Other values (343) 854
35.3%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 919
38.0%
1 106
 
4.4%
2 77
 
3.2%
3 64
 
2.6%
4 43
 
1.8%
5 36
 
1.5%
6 38
 
1.6%
7 31
 
1.3%
8 21
 
0.9%
9 24
 
1.0%
ValueCountFrequency (%)
63722 1
< 0.1%
17289 1
< 0.1%
15964 1
< 0.1%
13565 1
< 0.1%
11192 1
< 0.1%
11029 1
< 0.1%
10686 1
< 0.1%
9253 1
< 0.1%
8688 1
< 0.1%
7343 1
< 0.1%

2012-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct370
Distinct (%)16.7%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean165.5176
Minimum0
Maximum72666
Zeros892
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:34.824959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q341
95-th percentile491.25
Maximum72666
Range72666
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1737.2183
Coefficient of variation (CV)10.495671
Kurtosis1381.793
Mean165.5176
Median Absolute Deviation (MAD)3
Skewness34.276723
Sum366787
Variance3017927.4
MonotonicityNot monotonic
2024-04-06T18:03:35.062728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 892
36.9%
1 97
 
4.0%
2 68
 
2.8%
3 57
 
2.4%
5 44
 
1.8%
4 42
 
1.7%
6 37
 
1.5%
7 31
 
1.3%
8 29
 
1.2%
9 29
 
1.2%
Other values (360) 890
36.8%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 892
36.9%
1 97
 
4.0%
2 68
 
2.8%
3 57
 
2.4%
4 42
 
1.7%
5 44
 
1.8%
6 37
 
1.5%
7 31
 
1.3%
8 29
 
1.2%
9 29
 
1.2%
ValueCountFrequency (%)
72666 1
< 0.1%
17906 1
< 0.1%
14889 1
< 0.1%
14334 1
< 0.1%
12044 1
< 0.1%
10427 1
< 0.1%
8045 1
< 0.1%
8024 1
< 0.1%
7931 1
< 0.1%
6508 1
< 0.1%

2012-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct355
Distinct (%)16.0%
Missing200
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean165.68051
Minimum0
Maximum75353
Zeros938
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:35.312294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334.25
95-th percentile458
Maximum75353
Range75353
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation1797.0375
Coefficient of variation (CV)10.846403
Kurtosis1396.1648
Mean165.68051
Median Absolute Deviation (MAD)3
Skewness34.533047
Sum367148
Variance3229343.6
MonotonicityNot monotonic
2024-04-06T18:03:35.539637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
38.8%
1 97
 
4.0%
2 71
 
2.9%
3 62
 
2.6%
4 47
 
1.9%
5 33
 
1.4%
8 33
 
1.4%
9 28
 
1.2%
7 27
 
1.1%
6 25
 
1.0%
Other values (345) 855
35.4%
(Missing) 200
 
8.3%
ValueCountFrequency (%)
0 938
38.8%
1 97
 
4.0%
2 71
 
2.9%
3 62
 
2.6%
4 47
 
1.9%
5 33
 
1.4%
6 25
 
1.0%
7 27
 
1.1%
8 33
 
1.4%
9 28
 
1.2%
ValueCountFrequency (%)
75353 1
< 0.1%
19010 1
< 0.1%
15863 1
< 0.1%
13996 1
< 0.1%
12592 1
< 0.1%
10346 1
< 0.1%
9758 1
< 0.1%
8301 1
< 0.1%
6015 1
< 0.1%
5765 1
< 0.1%

2012-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct333
Distinct (%)15.0%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean118.77248
Minimum0
Maximum47631
Zeros906
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:35.798723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334
95-th percentile376.55
Maximum47631
Range47631
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1172.9181
Coefficient of variation (CV)9.8753354
Kurtosis1235.1195
Mean118.77248
Median Absolute Deviation (MAD)3
Skewness32.173093
Sum264150
Variance1375736.9
MonotonicityNot monotonic
2024-04-06T18:03:36.057070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 906
37.5%
1 132
 
5.5%
2 63
 
2.6%
3 56
 
2.3%
4 50
 
2.1%
6 40
 
1.7%
5 35
 
1.4%
7 31
 
1.3%
9 30
 
1.2%
8 26
 
1.1%
Other values (323) 855
35.4%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 906
37.5%
1 132
 
5.5%
2 63
 
2.6%
3 56
 
2.3%
4 50
 
2.1%
5 35
 
1.4%
6 40
 
1.7%
7 31
 
1.3%
8 26
 
1.1%
9 30
 
1.2%
ValueCountFrequency (%)
47631 1
< 0.1%
15138 1
< 0.1%
12955 1
< 0.1%
10949 1
< 0.1%
7652 1
< 0.1%
6975 1
< 0.1%
4964 1
< 0.1%
4688 1
< 0.1%
4625 1
< 0.1%
4247 1
< 0.1%

2012-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct324
Distinct (%)14.6%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean117.60881
Minimum0
Maximum45801
Zeros938
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:36.312808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile368.1
Maximum45801
Range45801
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1144.3676
Coefficient of variation (CV)9.730288
Kurtosis1170.3923
Mean117.60881
Median Absolute Deviation (MAD)2
Skewness31.172519
Sum261562
Variance1309577.2
MonotonicityNot monotonic
2024-04-06T18:03:36.549606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
38.8%
1 116
 
4.8%
2 73
 
3.0%
3 59
 
2.4%
5 54
 
2.2%
4 44
 
1.8%
6 34
 
1.4%
12 25
 
1.0%
10 25
 
1.0%
9 24
 
1.0%
Other values (314) 832
34.4%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 938
38.8%
1 116
 
4.8%
2 73
 
3.0%
3 59
 
2.4%
4 44
 
1.8%
5 54
 
2.2%
6 34
 
1.4%
7 24
 
1.0%
8 24
 
1.0%
9 24
 
1.0%
ValueCountFrequency (%)
45801 1
< 0.1%
14871 1
< 0.1%
13300 1
< 0.1%
12512 1
< 0.1%
6196 1
< 0.1%
5782 1
< 0.1%
5357 1
< 0.1%
4685 1
< 0.1%
4339 1
< 0.1%
4108 1
< 0.1%

2012-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct319
Distinct (%)14.3%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean107.00225
Minimum0
Maximum36828
Zeros939
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:36.768631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile330.7
Maximum36828
Range36828
Interquartile range (IQR)28

Descriptive statistics

Standard deviation963.83012
Coefficient of variation (CV)9.0075689
Kurtosis994.36305
Mean107.00225
Median Absolute Deviation (MAD)2
Skewness28.456615
Sum237973
Variance928968.5
MonotonicityNot monotonic
2024-04-06T18:03:36.996128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 939
38.9%
1 128
 
5.3%
3 72
 
3.0%
2 69
 
2.9%
4 57
 
2.4%
5 44
 
1.8%
7 33
 
1.4%
6 32
 
1.3%
8 24
 
1.0%
17 23
 
1.0%
Other values (309) 803
33.2%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 939
38.9%
1 128
 
5.3%
2 69
 
2.9%
3 72
 
3.0%
4 57
 
2.4%
5 44
 
1.8%
6 32
 
1.3%
7 33
 
1.4%
8 24
 
1.0%
9 21
 
0.9%
ValueCountFrequency (%)
36828 1
< 0.1%
15638 1
< 0.1%
12573 1
< 0.1%
7396 1
< 0.1%
6210 1
< 0.1%
5616 1
< 0.1%
5324 1
< 0.1%
4983 1
< 0.1%
4287 1
< 0.1%
4181 1
< 0.1%

2012-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct329
Distinct (%)14.8%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean117.71538
Minimum0
Maximum43677
Zeros923
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:37.211425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile349.1
Maximum43677
Range43677
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1105.7759
Coefficient of variation (CV)9.3936398
Kurtosis1117.7675
Mean117.71538
Median Absolute Deviation (MAD)3
Skewness30.415567
Sum261799
Variance1222740.2
MonotonicityNot monotonic
2024-04-06T18:03:37.440030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 923
38.2%
1 101
 
4.2%
2 83
 
3.4%
3 61
 
2.5%
4 59
 
2.4%
6 40
 
1.7%
5 38
 
1.6%
7 37
 
1.5%
8 30
 
1.2%
10 25
 
1.0%
Other values (319) 827
34.2%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 923
38.2%
1 101
 
4.2%
2 83
 
3.4%
3 61
 
2.5%
4 59
 
2.4%
5 38
 
1.6%
6 40
 
1.7%
7 37
 
1.5%
8 30
 
1.2%
9 25
 
1.0%
ValueCountFrequency (%)
43677 1
< 0.1%
15677 1
< 0.1%
14402 1
< 0.1%
9309 1
< 0.1%
8296 1
< 0.1%
5964 1
< 0.1%
5097 1
< 0.1%
4465 1
< 0.1%
3663 1
< 0.1%
3488 1
< 0.1%

2012-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct352
Distinct (%)15.8%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean131.80665
Minimum0
Maximum54113
Zeros908
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:37.677001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q333
95-th percentile419.7
Maximum54113
Range54113
Interquartile range (IQR)33

Descriptive statistics

Standard deviation1322.501
Coefficient of variation (CV)10.033643
Kurtosis1269.1802
Mean131.80665
Median Absolute Deviation (MAD)3
Skewness32.646245
Sum293138
Variance1749008.8
MonotonicityNot monotonic
2024-04-06T18:03:37.872897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 908
37.6%
1 110
 
4.6%
2 75
 
3.1%
4 51
 
2.1%
3 49
 
2.0%
5 42
 
1.7%
8 35
 
1.4%
7 33
 
1.4%
6 31
 
1.3%
10 23
 
1.0%
Other values (342) 867
35.9%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 908
37.6%
1 110
 
4.6%
2 75
 
3.1%
3 49
 
2.0%
4 51
 
2.1%
5 42
 
1.7%
6 31
 
1.3%
7 33
 
1.4%
8 35
 
1.4%
9 16
 
0.7%
ValueCountFrequency (%)
54113 1
< 0.1%
16051 1
< 0.1%
14538 1
< 0.1%
11224 1
< 0.1%
9266 1
< 0.1%
7163 1
< 0.1%
7071 1
< 0.1%
5738 1
< 0.1%
5097 1
< 0.1%
4228 1
< 0.1%

2012-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct369
Distinct (%)16.6%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean143.70054
Minimum0
Maximum53947
Zeros933
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:38.115733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile480.85
Maximum53947
Range53947
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1362.2966
Coefficient of variation (CV)9.4801075
Kurtosis1130.0367
Mean143.70054
Median Absolute Deviation (MAD)3
Skewness30.630048
Sum319590
Variance1855851.9
MonotonicityNot monotonic
2024-04-06T18:03:38.360589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 933
38.6%
1 100
 
4.1%
2 72
 
3.0%
4 59
 
2.4%
3 55
 
2.3%
5 45
 
1.9%
6 31
 
1.3%
10 24
 
1.0%
11 21
 
0.9%
9 20
 
0.8%
Other values (359) 864
35.8%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 933
38.6%
1 100
 
4.1%
2 72
 
3.0%
3 55
 
2.3%
4 59
 
2.4%
5 45
 
1.9%
6 31
 
1.3%
7 19
 
0.8%
8 19
 
0.8%
9 20
 
0.8%
ValueCountFrequency (%)
53947 1
< 0.1%
20727 1
< 0.1%
15549 1
< 0.1%
12491 1
< 0.1%
8089 1
< 0.1%
7613 1
< 0.1%
7421 1
< 0.1%
5547 1
< 0.1%
5339 1
< 0.1%
4876 1
< 0.1%

2013-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct352
Distinct (%)15.8%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean129.86556
Minimum0
Maximum52824
Zeros938
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:38.617605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q333
95-th percentile436.85
Maximum52824
Range52824
Interquartile range (IQR)33

Descriptive statistics

Standard deviation1287.7068
Coefficient of variation (CV)9.9156918
Kurtosis1280.6607
Mean129.86556
Median Absolute Deviation (MAD)2
Skewness32.796328
Sum288821
Variance1658188.9
MonotonicityNot monotonic
2024-04-06T18:03:38.890219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
38.8%
1 112
 
4.6%
2 89
 
3.7%
4 56
 
2.3%
3 47
 
1.9%
5 37
 
1.5%
6 35
 
1.4%
10 28
 
1.2%
8 27
 
1.1%
7 23
 
1.0%
Other values (342) 832
34.4%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 938
38.8%
1 112
 
4.6%
2 89
 
3.7%
3 47
 
1.9%
4 56
 
2.3%
5 37
 
1.5%
6 35
 
1.4%
7 23
 
1.0%
8 27
 
1.1%
9 20
 
0.8%
ValueCountFrequency (%)
52824 1
< 0.1%
15471 1
< 0.1%
13499 1
< 0.1%
11608 1
< 0.1%
7894 1
< 0.1%
7012 1
< 0.1%
6708 1
< 0.1%
5443 1
< 0.1%
5299 1
< 0.1%
4463 1
< 0.1%

2013-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct334
Distinct (%)15.0%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean120.12725
Minimum0
Maximum49478
Zeros955
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:39.130373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile396.85
Maximum49478
Range49478
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1202.3276
Coefficient of variation (CV)10.008784
Kurtosis1296.0668
Mean120.12725
Median Absolute Deviation (MAD)2
Skewness33.015812
Sum267163
Variance1445591.8
MonotonicityNot monotonic
2024-04-06T18:03:39.381119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
39.5%
1 118
 
4.9%
3 73
 
3.0%
2 73
 
3.0%
4 52
 
2.2%
6 44
 
1.8%
5 33
 
1.4%
8 29
 
1.2%
7 28
 
1.2%
10 23
 
1.0%
Other values (324) 796
32.9%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 955
39.5%
1 118
 
4.9%
2 73
 
3.0%
3 73
 
3.0%
4 52
 
2.2%
5 33
 
1.4%
6 44
 
1.8%
7 28
 
1.2%
8 29
 
1.2%
9 22
 
0.9%
ValueCountFrequency (%)
49478 1
< 0.1%
14960 1
< 0.1%
10996 1
< 0.1%
10457 1
< 0.1%
8385 1
< 0.1%
6328 1
< 0.1%
5870 1
< 0.1%
5522 1
< 0.1%
4876 1
< 0.1%
4750 1
< 0.1%

2013-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct357
Distinct (%)16.1%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean164.39658
Minimum0
Maximum72038
Zeros907
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:39.593117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334
95-th percentile524.55
Maximum72038
Range72038
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1727.8747
Coefficient of variation (CV)10.510405
Kurtosis1361.2302
Mean164.39658
Median Absolute Deviation (MAD)3
Skewness33.984288
Sum365618
Variance2985550.9
MonotonicityNot monotonic
2024-04-06T18:03:39.790137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 907
37.5%
1 113
 
4.7%
2 79
 
3.3%
3 53
 
2.2%
5 44
 
1.8%
4 42
 
1.7%
6 34
 
1.4%
7 29
 
1.2%
10 29
 
1.2%
11 27
 
1.1%
Other values (347) 867
35.9%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 907
37.5%
1 113
 
4.7%
2 79
 
3.3%
3 53
 
2.2%
4 42
 
1.7%
5 44
 
1.8%
6 34
 
1.4%
7 29
 
1.2%
8 24
 
1.0%
9 22
 
0.9%
ValueCountFrequency (%)
72038 1
< 0.1%
19146 1
< 0.1%
16278 1
< 0.1%
13696 1
< 0.1%
12878 1
< 0.1%
8070 1
< 0.1%
7848 1
< 0.1%
7518 1
< 0.1%
7140 1
< 0.1%
6121 1
< 0.1%

2013-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct384
Distinct (%)17.3%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean164.33858
Minimum0
Maximum68546
Zeros874
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:40.019705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q340.25
95-th percentile527
Maximum68546
Range68546
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation1654.3936
Coefficient of variation (CV)10.066982
Kurtosis1328.1792
Mean164.33858
Median Absolute Deviation (MAD)3.5
Skewness33.455129
Sum365489
Variance2737018
MonotonicityNot monotonic
2024-04-06T18:03:40.271757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 874
36.2%
1 115
 
4.8%
2 65
 
2.7%
3 58
 
2.4%
5 56
 
2.3%
6 50
 
2.1%
4 42
 
1.7%
7 34
 
1.4%
8 27
 
1.1%
13 22
 
0.9%
Other values (374) 881
36.5%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 874
36.2%
1 115
 
4.8%
2 65
 
2.7%
3 58
 
2.4%
4 42
 
1.7%
5 56
 
2.3%
6 50
 
2.1%
7 34
 
1.4%
8 27
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
68546 1
< 0.1%
18355 1
< 0.1%
15741 1
< 0.1%
14668 1
< 0.1%
10465 1
< 0.1%
8402 1
< 0.1%
8231 1
< 0.1%
7821 1
< 0.1%
6983 1
< 0.1%
6779 1
< 0.1%

2013-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)16.4%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean153.51484
Minimum0
Maximum66514
Zeros874
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:40.933872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q341
95-th percentile450.25
Maximum66514
Range66514
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1594.498
Coefficient of variation (CV)10.386605
Kurtosis1363.1818
Mean153.51484
Median Absolute Deviation (MAD)3
Skewness33.990753
Sum341417
Variance2542424
MonotonicityNot monotonic
2024-04-06T18:03:41.204201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 874
36.2%
1 110
 
4.6%
2 74
 
3.1%
3 61
 
2.5%
5 57
 
2.4%
4 49
 
2.0%
8 39
 
1.6%
6 32
 
1.3%
16 26
 
1.1%
12 25
 
1.0%
Other values (355) 877
36.3%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 874
36.2%
1 110
 
4.6%
2 74
 
3.1%
3 61
 
2.5%
4 49
 
2.0%
5 57
 
2.4%
6 32
 
1.3%
7 25
 
1.0%
8 39
 
1.6%
9 22
 
0.9%
ValueCountFrequency (%)
66514 1
< 0.1%
16887 1
< 0.1%
15432 1
< 0.1%
12467 1
< 0.1%
9592 1
< 0.1%
9258 1
< 0.1%
9024 1
< 0.1%
8556 1
< 0.1%
5849 1
< 0.1%
5497 1
< 0.1%

2013-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct370
Distinct (%)16.6%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean156.84038
Minimum0
Maximum63515
Zeros900
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:41.448094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q341
95-th percentile510.65
Maximum63515
Range63515
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1554.9036
Coefficient of variation (CV)9.9139243
Kurtosis1261.0003
Mean156.84038
Median Absolute Deviation (MAD)3
Skewness32.51193
Sum348813
Variance2417725.3
MonotonicityNot monotonic
2024-04-06T18:03:41.707509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
37.3%
1 102
 
4.2%
2 82
 
3.4%
3 63
 
2.6%
4 45
 
1.9%
6 39
 
1.6%
7 38
 
1.6%
9 28
 
1.2%
8 24
 
1.0%
5 21
 
0.9%
Other values (360) 882
36.5%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 900
37.3%
1 102
 
4.2%
2 82
 
3.4%
3 63
 
2.6%
4 45
 
1.9%
5 21
 
0.9%
6 39
 
1.6%
7 38
 
1.6%
8 24
 
1.0%
9 28
 
1.2%
ValueCountFrequency (%)
63515 1
< 0.1%
19101 1
< 0.1%
16764 1
< 0.1%
14204 1
< 0.1%
10291 1
< 0.1%
7907 1
< 0.1%
7512 1
< 0.1%
7068 1
< 0.1%
5861 1
< 0.1%
5238 1
< 0.1%

2013-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct355
Distinct (%)16.0%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean130.73471
Minimum0
Maximum53063
Zeros890
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:41.947853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334
95-th percentile413
Maximum53063
Range53063
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1300.2141
Coefficient of variation (CV)9.945439
Kurtosis1257.4302
Mean130.73471
Median Absolute Deviation (MAD)3
Skewness32.494608
Sum290754
Variance1690556.7
MonotonicityNot monotonic
2024-04-06T18:03:42.214367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 890
36.8%
1 128
 
5.3%
2 77
 
3.2%
3 61
 
2.5%
4 52
 
2.2%
5 45
 
1.9%
7 33
 
1.4%
9 29
 
1.2%
8 29
 
1.2%
6 26
 
1.1%
Other values (345) 854
35.3%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 890
36.8%
1 128
 
5.3%
2 77
 
3.2%
3 61
 
2.5%
4 52
 
2.2%
5 45
 
1.9%
6 26
 
1.1%
7 33
 
1.4%
8 29
 
1.2%
9 29
 
1.2%
ValueCountFrequency (%)
53063 1
< 0.1%
15068 1
< 0.1%
14938 1
< 0.1%
13144 1
< 0.1%
8179 1
< 0.1%
7413 1
< 0.1%
5312 1
< 0.1%
5089 1
< 0.1%
4323 1
< 0.1%
4287 1
< 0.1%

2013-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct331
Distinct (%)14.9%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean113.05845
Minimum0
Maximum42553
Zeros910
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:42.500404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile355
Maximum42553
Range42553
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1057.7716
Coefficient of variation (CV)9.355971
Kurtosis1191.0051
Mean113.05845
Median Absolute Deviation (MAD)2
Skewness31.421407
Sum251442
Variance1118880.8
MonotonicityNot monotonic
2024-04-06T18:03:42.739554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 910
37.7%
1 123
 
5.1%
2 85
 
3.5%
3 58
 
2.4%
4 55
 
2.3%
5 49
 
2.0%
6 45
 
1.9%
8 31
 
1.3%
10 29
 
1.2%
9 27
 
1.1%
Other values (321) 812
33.6%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 910
37.7%
1 123
 
5.1%
2 85
 
3.5%
3 58
 
2.4%
4 55
 
2.3%
5 49
 
2.0%
6 45
 
1.9%
7 24
 
1.0%
8 31
 
1.3%
9 27
 
1.1%
ValueCountFrequency (%)
42553 1
< 0.1%
13811 1
< 0.1%
12535 1
< 0.1%
8780 1
< 0.1%
6808 1
< 0.1%
5923 1
< 0.1%
5071 1
< 0.1%
4367 1
< 0.1%
4261 1
< 0.1%
4108 1
< 0.1%

2013-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)14.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean112.40547
Minimum0
Maximum43460
Zeros946
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:42.933657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile349.45
Maximum43460
Range43460
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1070.5028
Coefficient of variation (CV)9.5235828
Kurtosis1225.0957
Mean112.40547
Median Absolute Deviation (MAD)2
Skewness31.843065
Sum250889
Variance1145976.2
MonotonicityNot monotonic
2024-04-06T18:03:43.165965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 946
39.2%
1 130
 
5.4%
2 78
 
3.2%
3 74
 
3.1%
5 52
 
2.2%
4 47
 
1.9%
6 38
 
1.6%
7 32
 
1.3%
8 28
 
1.2%
12 22
 
0.9%
Other values (311) 785
32.5%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 946
39.2%
1 130
 
5.4%
2 78
 
3.2%
3 74
 
3.1%
4 47
 
1.9%
5 52
 
2.2%
6 38
 
1.6%
7 32
 
1.3%
8 28
 
1.2%
9 20
 
0.8%
ValueCountFrequency (%)
43460 1
< 0.1%
12453 1
< 0.1%
12134 1
< 0.1%
9321 1
< 0.1%
6544 1
< 0.1%
6244 1
< 0.1%
6086 1
< 0.1%
5357 1
< 0.1%
5123 1
< 0.1%
4537 1
< 0.1%

2013-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct336
Distinct (%)15.1%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean128.58678
Minimum0
Maximum49636
Zeros915
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:43.398683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q337
95-th percentile386.7
Maximum49636
Range49636
Interquartile range (IQR)37

Descriptive statistics

Standard deviation1236.3782
Coefficient of variation (CV)9.6151268
Kurtosis1183.2238
Mean128.58678
Median Absolute Deviation (MAD)3
Skewness31.348862
Sum285977
Variance1528631.1
MonotonicityNot monotonic
2024-04-06T18:03:43.635191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 915
37.9%
1 99
 
4.1%
2 77
 
3.2%
5 52
 
2.2%
3 49
 
2.0%
4 44
 
1.8%
6 37
 
1.5%
7 35
 
1.4%
8 34
 
1.4%
11 24
 
1.0%
Other values (326) 858
35.5%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 915
37.9%
1 99
 
4.1%
2 77
 
3.2%
3 49
 
2.0%
4 44
 
1.8%
5 52
 
2.2%
6 37
 
1.5%
7 35
 
1.4%
8 34
 
1.4%
9 20
 
0.8%
ValueCountFrequency (%)
49636 1
< 0.1%
16828 1
< 0.1%
13603 1
< 0.1%
10942 1
< 0.1%
9674 1
< 0.1%
7281 1
< 0.1%
5568 1
< 0.1%
4895 1
< 0.1%
4546 1
< 0.1%
4210 1
< 0.1%

2013-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)15.4%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean125.39029
Minimum0
Maximum47807
Zeros924
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:43.861554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q335
95-th percentile380.7
Maximum47807
Range47807
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1202.8581
Coefficient of variation (CV)9.5929128
Kurtosis1144.3129
Mean125.39029
Median Absolute Deviation (MAD)3
Skewness30.833071
Sum278868
Variance1446867.6
MonotonicityNot monotonic
2024-04-06T18:03:44.116334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 924
38.2%
1 107
 
4.4%
2 79
 
3.3%
4 59
 
2.4%
3 50
 
2.1%
5 47
 
1.9%
6 32
 
1.3%
7 29
 
1.2%
9 29
 
1.2%
8 27
 
1.1%
Other values (332) 841
34.8%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 924
38.2%
1 107
 
4.4%
2 79
 
3.3%
3 50
 
2.1%
4 59
 
2.4%
5 47
 
1.9%
6 32
 
1.3%
7 29
 
1.2%
8 27
 
1.1%
9 29
 
1.2%
ValueCountFrequency (%)
47807 1
< 0.1%
17825 1
< 0.1%
14304 1
< 0.1%
9630 1
< 0.1%
8282 1
< 0.1%
6545 1
< 0.1%
5453 1
< 0.1%
5401 1
< 0.1%
4734 1
< 0.1%
4267 1
< 0.1%

2013-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct376
Distinct (%)16.9%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean159.21673
Minimum0
Maximum60405
Zeros871
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:44.359930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile474.85
Maximum60405
Range60405
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1521.0112
Coefficient of variation (CV)9.5530865
Kurtosis1140.4312
Mean159.21673
Median Absolute Deviation (MAD)3
Skewness30.759323
Sum354098
Variance2313475
MonotonicityNot monotonic
2024-04-06T18:03:44.617057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 871
36.1%
1 117
 
4.8%
2 71
 
2.9%
3 59
 
2.4%
4 48
 
2.0%
5 37
 
1.5%
7 36
 
1.5%
6 34
 
1.4%
13 27
 
1.1%
8 25
 
1.0%
Other values (366) 899
37.2%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 871
36.1%
1 117
 
4.8%
2 71
 
2.9%
3 59
 
2.4%
4 48
 
2.0%
5 37
 
1.5%
6 34
 
1.4%
7 36
 
1.5%
8 25
 
1.0%
9 16
 
0.7%
ValueCountFrequency (%)
60405 1
< 0.1%
22432 1
< 0.1%
18042 1
< 0.1%
11724 1
< 0.1%
10622 1
< 0.1%
9211 1
< 0.1%
8502 1
< 0.1%
6172 1
< 0.1%
5866 1
< 0.1%
4420 2
0.1%

2014-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct339
Distinct (%)15.2%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean123.32104
Minimum0
Maximum45109
Zeros904
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:44.830120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q333
95-th percentile394.55
Maximum45109
Range45109
Interquartile range (IQR)33

Descriptive statistics

Standard deviation1155.4832
Coefficient of variation (CV)9.3697165
Kurtosis1075.4509
Mean123.32104
Median Absolute Deviation (MAD)2
Skewness29.853322
Sum274266
Variance1335141.5
MonotonicityNot monotonic
2024-04-06T18:03:45.021232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 904
37.4%
1 121
 
5.0%
2 88
 
3.6%
3 64
 
2.6%
4 63
 
2.6%
5 41
 
1.7%
7 33
 
1.4%
6 33
 
1.4%
8 31
 
1.3%
9 28
 
1.2%
Other values (329) 818
33.9%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 904
37.4%
1 121
 
5.0%
2 88
 
3.6%
3 64
 
2.6%
4 63
 
2.6%
5 41
 
1.7%
6 33
 
1.4%
7 33
 
1.4%
8 31
 
1.3%
9 28
 
1.2%
ValueCountFrequency (%)
45109 1
< 0.1%
17409 1
< 0.1%
15806 1
< 0.1%
10261 1
< 0.1%
6812 1
< 0.1%
6616 1
< 0.1%
5419 1
< 0.1%
5195 1
< 0.1%
4521 1
< 0.1%
4389 1
< 0.1%

2014-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct348
Distinct (%)15.6%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean133.3152
Minimum0
Maximum52460
Zeros886
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:45.294360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile409.25
Maximum52460
Range52460
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1290.6152
Coefficient of variation (CV)9.6809311
Kurtosis1238.4096
Mean133.3152
Median Absolute Deviation (MAD)3
Skewness32.180319
Sum296493
Variance1665687.7
MonotonicityNot monotonic
2024-04-06T18:03:45.523179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 886
36.7%
1 112
 
4.6%
2 85
 
3.5%
3 57
 
2.4%
4 53
 
2.2%
5 46
 
1.9%
8 42
 
1.7%
6 40
 
1.7%
11 29
 
1.2%
7 29
 
1.2%
Other values (338) 845
35.0%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 886
36.7%
1 112
 
4.6%
2 85
 
3.5%
3 57
 
2.4%
4 53
 
2.2%
5 46
 
1.9%
6 40
 
1.7%
7 29
 
1.2%
8 42
 
1.7%
9 21
 
0.9%
ValueCountFrequency (%)
52460 1
< 0.1%
16834 1
< 0.1%
13502 1
< 0.1%
11592 1
< 0.1%
8510 1
< 0.1%
7969 1
< 0.1%
5836 1
< 0.1%
5417 1
< 0.1%
4804 1
< 0.1%
4236 1
< 0.1%

2014-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct371
Distinct (%)16.7%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean153.86736
Minimum0
Maximum64387
Zeros841
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:45.777046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q342
95-th percentile499.1
Maximum64387
Range64387
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1561.8606
Coefficient of variation (CV)10.150695
Kurtosis1304.702
Mean153.86736
Median Absolute Deviation (MAD)4
Skewness33.1772
Sum342201
Variance2439408.4
MonotonicityNot monotonic
2024-04-06T18:03:46.179123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 841
34.8%
1 127
 
5.3%
2 72
 
3.0%
3 52
 
2.2%
6 48
 
2.0%
4 48
 
2.0%
5 43
 
1.8%
8 33
 
1.4%
10 31
 
1.3%
7 30
 
1.2%
Other values (361) 899
37.2%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 841
34.8%
1 127
 
5.3%
2 72
 
3.0%
3 52
 
2.2%
4 48
 
2.0%
5 43
 
1.8%
6 48
 
2.0%
7 30
 
1.2%
8 33
 
1.4%
9 27
 
1.1%
ValueCountFrequency (%)
64387 1
< 0.1%
17278 1
< 0.1%
16860 1
< 0.1%
13399 1
< 0.1%
12263 1
< 0.1%
8680 1
< 0.1%
7630 1
< 0.1%
7266 1
< 0.1%
5162 1
< 0.1%
5087 1
< 0.1%

2014-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)17.0%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean164.85387
Minimum0
Maximum63340
Zeros855
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:46.725168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q345
95-th percentile532.7
Maximum63340
Range63340
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1590.1486
Coefficient of variation (CV)9.6458073
Kurtosis1151.4819
Mean164.85387
Median Absolute Deviation (MAD)4
Skewness30.920925
Sum366635
Variance2528572.7
MonotonicityNot monotonic
2024-04-06T18:03:46.994193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 855
35.4%
1 111
 
4.6%
2 66
 
2.7%
3 66
 
2.7%
4 43
 
1.8%
7 40
 
1.7%
5 37
 
1.5%
6 30
 
1.2%
8 28
 
1.2%
11 24
 
1.0%
Other values (369) 924
38.2%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 855
35.4%
1 111
 
4.6%
2 66
 
2.7%
3 66
 
2.7%
4 43
 
1.8%
5 37
 
1.5%
6 30
 
1.2%
7 40
 
1.7%
8 28
 
1.2%
9 19
 
0.8%
ValueCountFrequency (%)
63340 1
< 0.1%
21054 1
< 0.1%
20762 1
< 0.1%
13540 1
< 0.1%
12272 1
< 0.1%
7608 1
< 0.1%
7432 1
< 0.1%
6614 1
< 0.1%
6527 1
< 0.1%
5960 1
< 0.1%

2014-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct377
Distinct (%)17.0%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean160.51888
Minimum0
Maximum62394
Zeros884
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:47.232879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q342
95-th percentile525.25
Maximum62394
Range62394
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1558.0706
Coefficient of variation (CV)9.7064626
Kurtosis1175.4354
Mean160.51888
Median Absolute Deviation (MAD)3
Skewness31.320063
Sum356994
Variance2427583.9
MonotonicityNot monotonic
2024-04-06T18:03:47.497458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 884
36.6%
1 125
 
5.2%
2 67
 
2.8%
3 55
 
2.3%
4 47
 
1.9%
6 44
 
1.8%
5 37
 
1.5%
7 34
 
1.4%
10 25
 
1.0%
8 24
 
1.0%
Other values (367) 882
36.5%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 884
36.6%
1 125
 
5.2%
2 67
 
2.8%
3 55
 
2.3%
4 47
 
1.9%
5 37
 
1.5%
6 44
 
1.8%
7 34
 
1.4%
8 24
 
1.0%
9 22
 
0.9%
ValueCountFrequency (%)
62394 1
< 0.1%
21817 1
< 0.1%
18027 1
< 0.1%
15556 1
< 0.1%
9474 1
< 0.1%
8574 1
< 0.1%
7026 1
< 0.1%
5621 1
< 0.1%
5530 1
< 0.1%
4966 1
< 0.1%

2014-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)16.4%
Missing192
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean150.18345
Minimum0
Maximum57503
Zeros858
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:47.694016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q337
95-th percentile444.7
Maximum57503
Range57503
Interquartile range (IQR)37

Descriptive statistics

Standard deviation1432.233
Coefficient of variation (CV)9.5365563
Kurtosis1181.4345
Mean150.18345
Median Absolute Deviation (MAD)3
Skewness31.276179
Sum334008
Variance2051291.2
MonotonicityNot monotonic
2024-04-06T18:03:47.927157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 858
35.5%
1 130
 
5.4%
2 84
 
3.5%
3 54
 
2.2%
4 44
 
1.8%
7 43
 
1.8%
5 37
 
1.5%
6 35
 
1.4%
8 31
 
1.3%
9 25
 
1.0%
Other values (355) 883
36.5%
(Missing) 192
 
7.9%
ValueCountFrequency (%)
0 858
35.5%
1 130
 
5.4%
2 84
 
3.5%
3 54
 
2.2%
4 44
 
1.8%
5 37
 
1.5%
6 35
 
1.4%
7 43
 
1.8%
8 31
 
1.3%
9 25
 
1.0%
ValueCountFrequency (%)
57503 1
< 0.1%
18715 1
< 0.1%
14866 1
< 0.1%
13126 1
< 0.1%
12741 1
< 0.1%
8701 1
< 0.1%
6054 1
< 0.1%
5831 1
< 0.1%
5725 1
< 0.1%
5333 1
< 0.1%

2014-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)16.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean145.069
Minimum0
Maximum57961
Zeros867
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:48.185328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340.25
95-th percentile444
Maximum57961
Range57961
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation1427.609
Coefficient of variation (CV)9.8408964
Kurtosis1229.9638
Mean145.069
Median Absolute Deviation (MAD)4
Skewness32.085201
Sum323794
Variance2038067.3
MonotonicityNot monotonic
2024-04-06T18:03:48.841113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 867
35.9%
1 104
 
4.3%
2 77
 
3.2%
3 59
 
2.4%
4 52
 
2.2%
5 44
 
1.8%
12 31
 
1.3%
7 29
 
1.2%
6 28
 
1.2%
8 27
 
1.1%
Other values (355) 914
37.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 867
35.9%
1 104
 
4.3%
2 77
 
3.2%
3 59
 
2.4%
4 52
 
2.2%
5 44
 
1.8%
6 28
 
1.2%
7 29
 
1.2%
8 27
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
57961 1
< 0.1%
18303 1
< 0.1%
15900 1
< 0.1%
13453 1
< 0.1%
9833 1
< 0.1%
8905 1
< 0.1%
7258 1
< 0.1%
5880 1
< 0.1%
5084 1
< 0.1%
4153 1
< 0.1%

2014-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)15.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.1138
Minimum0
Maximum44620
Zeros868
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:49.085005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338
95-th percentile373.7
Maximum44620
Range44620
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1124.1346
Coefficient of variation (CV)9.3589134
Kurtosis1136.6933
Mean120.1138
Median Absolute Deviation (MAD)3
Skewness30.736766
Sum268094
Variance1263678.7
MonotonicityNot monotonic
2024-04-06T18:03:49.304925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 868
35.9%
1 132
 
5.5%
2 76
 
3.1%
3 62
 
2.6%
5 47
 
1.9%
4 40
 
1.7%
7 39
 
1.6%
8 34
 
1.4%
9 31
 
1.3%
6 31
 
1.3%
Other values (332) 872
36.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 868
35.9%
1 132
 
5.5%
2 76
 
3.1%
3 62
 
2.6%
4 40
 
1.7%
5 47
 
1.9%
6 31
 
1.3%
7 39
 
1.6%
8 34
 
1.4%
9 31
 
1.3%
ValueCountFrequency (%)
44620 1
< 0.1%
16774 1
< 0.1%
14232 1
< 0.1%
8462 1
< 0.1%
7069 1
< 0.1%
7068 1
< 0.1%
5007 1
< 0.1%
4806 1
< 0.1%
4439 1
< 0.1%
3764 1
< 0.1%

2014-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct362
Distinct (%)16.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean146.12948
Minimum0
Maximum51157
Zeros895
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:49.501968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q339
95-th percentile381.45
Maximum51157
Range51157
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1341.2332
Coefficient of variation (CV)9.1783891
Kurtosis969.21113
Mean146.12948
Median Absolute Deviation (MAD)3
Skewness27.754335
Sum326161
Variance1798906.6
MonotonicityNot monotonic
2024-04-06T18:03:49.692101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 895
37.0%
1 115
 
4.8%
2 72
 
3.0%
3 65
 
2.7%
4 56
 
2.3%
7 40
 
1.7%
6 39
 
1.6%
5 31
 
1.3%
9 31
 
1.3%
8 22
 
0.9%
Other values (352) 866
35.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 895
37.0%
1 115
 
4.8%
2 72
 
3.0%
3 65
 
2.7%
4 56
 
2.3%
5 31
 
1.3%
6 39
 
1.6%
7 40
 
1.7%
8 22
 
0.9%
9 31
 
1.3%
ValueCountFrequency (%)
51157 1
< 0.1%
17873 1
< 0.1%
14375 1
< 0.1%
14260 1
< 0.1%
11533 1
< 0.1%
10797 1
< 0.1%
10554 1
< 0.1%
7556 1
< 0.1%
7068 1
< 0.1%
5933 1
< 0.1%

2014-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct369
Distinct (%)16.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean152.83109
Minimum0
Maximum55423
Zeros869
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:49.905527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q347
95-th percentile447.45
Maximum55423
Range55423
Interquartile range (IQR)47

Descriptive statistics

Standard deviation1421.3817
Coefficient of variation (CV)9.300344
Kurtosis1068.6266
Mean152.83109
Median Absolute Deviation (MAD)4
Skewness29.735671
Sum341119
Variance2020326.1
MonotonicityNot monotonic
2024-04-06T18:03:50.117997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 869
36.0%
1 102
 
4.2%
2 76
 
3.1%
3 54
 
2.2%
4 46
 
1.9%
5 43
 
1.8%
6 39
 
1.6%
7 36
 
1.5%
11 30
 
1.2%
12 25
 
1.0%
Other values (359) 912
37.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 869
36.0%
1 102
 
4.2%
2 76
 
3.1%
3 54
 
2.2%
4 46
 
1.9%
5 43
 
1.8%
6 39
 
1.6%
7 36
 
1.5%
8 22
 
0.9%
9 24
 
1.0%
ValueCountFrequency (%)
55423 1
< 0.1%
22861 1
< 0.1%
17246 1
< 0.1%
13628 1
< 0.1%
9775 1
< 0.1%
6717 1
< 0.1%
6689 1
< 0.1%
6038 1
< 0.1%
6001 1
< 0.1%
5054 1
< 0.1%

2014-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct375
Distinct (%)16.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean168.33244
Minimum0
Maximum58143
Zeros863
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:50.364721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile460.9
Maximum58143
Range58143
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1620.1524
Coefficient of variation (CV)9.6247192
Kurtosis837.90786
Mean168.33244
Median Absolute Deviation (MAD)3
Skewness26.407302
Sum375718
Variance2624893.9
MonotonicityNot monotonic
2024-04-06T18:03:50.633775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 863
35.7%
1 111
 
4.6%
2 82
 
3.4%
3 68
 
2.8%
4 41
 
1.7%
6 37
 
1.5%
7 36
 
1.5%
5 29
 
1.2%
8 27
 
1.1%
11 25
 
1.0%
Other values (365) 913
37.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 863
35.7%
1 111
 
4.6%
2 82
 
3.4%
3 68
 
2.8%
4 41
 
1.7%
5 29
 
1.2%
6 37
 
1.5%
7 36
 
1.5%
8 27
 
1.1%
9 14
 
0.6%
ValueCountFrequency (%)
58143 1
< 0.1%
34479 1
< 0.1%
17216 1
< 0.1%
14952 1
< 0.1%
13624 1
< 0.1%
13281 1
< 0.1%
8375 1
< 0.1%
8308 1
< 0.1%
6284 1
< 0.1%
5849 1
< 0.1%

2014-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct397
Distinct (%)17.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean179.35529
Minimum0
Maximum61666
Zeros848
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:50.873511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q355
95-th percentile539.9
Maximum61666
Range61666
Interquartile range (IQR)55

Descriptive statistics

Standard deviation1621.0099
Coefficient of variation (CV)9.0379822
Kurtosis989.85093
Mean179.35529
Median Absolute Deviation (MAD)4
Skewness28.62399
Sum400321
Variance2627673.1
MonotonicityNot monotonic
2024-04-06T18:03:51.146091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 848
35.1%
1 105
 
4.3%
2 80
 
3.3%
3 48
 
2.0%
4 43
 
1.8%
5 31
 
1.3%
6 30
 
1.2%
9 29
 
1.2%
7 27
 
1.1%
10 26
 
1.1%
Other values (387) 965
39.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 848
35.1%
1 105
 
4.3%
2 80
 
3.3%
3 48
 
2.0%
4 43
 
1.8%
5 31
 
1.3%
6 30
 
1.2%
7 27
 
1.1%
8 21
 
0.9%
9 29
 
1.2%
ValueCountFrequency (%)
61666 1
< 0.1%
29627 1
< 0.1%
19735 1
< 0.1%
13430 1
< 0.1%
9474 1
< 0.1%
9302 1
< 0.1%
8714 1
< 0.1%
8437 1
< 0.1%
7098 1
< 0.1%
6845 1
< 0.1%

2015-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct364
Distinct (%)16.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean147.17339
Minimum0
Maximum52650
Zeros912
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:51.381779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile438.9
Maximum52650
Range52650
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1370.3253
Coefficient of variation (CV)9.3109584
Kurtosis1015.867
Mean147.17339
Median Absolute Deviation (MAD)3
Skewness28.938216
Sum328491
Variance1877791.4
MonotonicityNot monotonic
2024-04-06T18:03:51.629118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 912
37.7%
1 104
 
4.3%
2 79
 
3.3%
3 54
 
2.2%
4 41
 
1.7%
5 40
 
1.7%
8 38
 
1.6%
6 33
 
1.4%
7 31
 
1.3%
10 26
 
1.1%
Other values (354) 874
36.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 912
37.7%
1 104
 
4.3%
2 79
 
3.3%
3 54
 
2.2%
4 41
 
1.7%
5 40
 
1.7%
6 33
 
1.4%
7 31
 
1.3%
8 38
 
1.6%
9 19
 
0.8%
ValueCountFrequency (%)
52650 1
< 0.1%
21251 1
< 0.1%
20325 1
< 0.1%
12009 1
< 0.1%
6854 1
< 0.1%
6808 1
< 0.1%
6765 1
< 0.1%
6602 1
< 0.1%
5451 1
< 0.1%
5336 1
< 0.1%

2015-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct354
Distinct (%)15.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean127.24552
Minimum0
Maximum47520
Zeros909
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:51.881741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q334.25
95-th percentile416
Maximum47520
Range47520
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation1191.7919
Coefficient of variation (CV)9.3660816
Kurtosis1150.6338
Mean127.24552
Median Absolute Deviation (MAD)2
Skewness30.84407
Sum284012
Variance1420368
MonotonicityNot monotonic
2024-04-06T18:03:52.117698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 909
37.6%
1 141
 
5.8%
2 74
 
3.1%
3 54
 
2.2%
6 42
 
1.7%
4 41
 
1.7%
5 39
 
1.6%
7 32
 
1.3%
8 28
 
1.2%
11 23
 
1.0%
Other values (344) 849
35.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 909
37.6%
1 141
 
5.8%
2 74
 
3.1%
3 54
 
2.2%
4 41
 
1.7%
5 39
 
1.6%
6 42
 
1.7%
7 32
 
1.3%
8 28
 
1.2%
9 17
 
0.7%
ValueCountFrequency (%)
47520 1
< 0.1%
16036 1
< 0.1%
15102 1
< 0.1%
9898 1
< 0.1%
8720 1
< 0.1%
6179 1
< 0.1%
5846 1
< 0.1%
5262 1
< 0.1%
5132 1
< 0.1%
4690 1
< 0.1%

2015-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct382
Distinct (%)17.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean179.2957
Minimum0
Maximum75717
Zeros847
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:52.336365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q348
95-th percentile550.9
Maximum75717
Range75717
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1842.7522
Coefficient of variation (CV)10.277727
Kurtosis1285.4602
Mean179.2957
Median Absolute Deviation (MAD)4
Skewness32.885525
Sum400188
Variance3395735.7
MonotonicityNot monotonic
2024-04-06T18:03:52.587070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 847
35.1%
1 117
 
4.8%
2 65
 
2.7%
3 64
 
2.6%
4 49
 
2.0%
6 42
 
1.7%
5 36
 
1.5%
7 31
 
1.3%
9 23
 
1.0%
10 23
 
1.0%
Other values (372) 935
38.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 847
35.1%
1 117
 
4.8%
2 65
 
2.7%
3 64
 
2.6%
4 49
 
2.0%
5 36
 
1.5%
6 42
 
1.7%
7 31
 
1.3%
8 23
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
75717 1
< 0.1%
23046 1
< 0.1%
18564 1
< 0.1%
14854 1
< 0.1%
12844 1
< 0.1%
11413 1
< 0.1%
10917 1
< 0.1%
9286 1
< 0.1%
5597 1
< 0.1%
5513 1
< 0.1%

2015-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct412
Distinct (%)18.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean188.66801
Minimum0
Maximum76041
Zeros840
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:52.868052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q360
95-th percentile587.45
Maximum76041
Range76041
Interquartile range (IQR)60

Descriptive statistics

Standard deviation1865.083
Coefficient of variation (CV)9.8855285
Kurtosis1249.3141
Mean188.66801
Median Absolute Deviation (MAD)4
Skewness32.352684
Sum421107
Variance3478534.6
MonotonicityNot monotonic
2024-04-06T18:03:53.232027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 840
34.8%
1 106
 
4.4%
2 79
 
3.3%
3 53
 
2.2%
4 47
 
1.9%
5 44
 
1.8%
6 34
 
1.4%
9 34
 
1.4%
7 30
 
1.2%
10 21
 
0.9%
Other values (402) 944
39.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 840
34.8%
1 106
 
4.4%
2 79
 
3.3%
3 53
 
2.2%
4 47
 
1.9%
5 44
 
1.8%
6 34
 
1.4%
7 30
 
1.2%
8 20
 
0.8%
9 34
 
1.4%
ValueCountFrequency (%)
76041 1
< 0.1%
24518 1
< 0.1%
19999 1
< 0.1%
15565 1
< 0.1%
11802 1
< 0.1%
10595 1
< 0.1%
10311 1
< 0.1%
8213 1
< 0.1%
7598 1
< 0.1%
6411 1
< 0.1%

2015-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct390
Distinct (%)17.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean154.92652
Minimum0
Maximum55928
Zeros863
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:53.503978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q350.25
95-th percentile469.9
Maximum55928
Range55928
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation1429.5746
Coefficient of variation (CV)9.2274364
Kurtosis1081.9602
Mean154.92652
Median Absolute Deviation (MAD)4
Skewness29.951018
Sum345796
Variance2043683.6
MonotonicityNot monotonic
2024-04-06T18:03:53.729320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 863
35.7%
1 93
 
3.8%
3 67
 
2.8%
2 58
 
2.4%
5 47
 
1.9%
6 41
 
1.7%
7 40
 
1.7%
4 37
 
1.5%
9 28
 
1.2%
11 24
 
1.0%
Other values (380) 934
38.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 863
35.7%
1 93
 
3.8%
2 58
 
2.4%
3 67
 
2.8%
4 37
 
1.5%
5 47
 
1.9%
6 41
 
1.7%
7 40
 
1.7%
8 23
 
1.0%
9 28
 
1.2%
ValueCountFrequency (%)
55928 1
< 0.1%
23000 1
< 0.1%
17801 1
< 0.1%
11783 1
< 0.1%
10336 1
< 0.1%
7454 1
< 0.1%
6049 1
< 0.1%
5637 1
< 0.1%
5579 1
< 0.1%
5348 1
< 0.1%

2015-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct417
Distinct (%)18.7%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean209.09453
Minimum0
Maximum75883
Zeros833
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:53.981021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q359
95-th percentile586.9
Maximum75883
Range75883
Interquartile range (IQR)59

Descriptive statistics

Standard deviation1945.6716
Coefficient of variation (CV)9.3052248
Kurtosis1054.2711
Mean209.09453
Median Absolute Deviation (MAD)5
Skewness29.178215
Sum466699
Variance3785638.2
MonotonicityNot monotonic
2024-04-06T18:03:54.230425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 833
34.5%
1 108
 
4.5%
2 62
 
2.6%
3 56
 
2.3%
5 45
 
1.9%
4 43
 
1.8%
6 33
 
1.4%
7 31
 
1.3%
9 28
 
1.2%
11 26
 
1.1%
Other values (407) 967
40.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 833
34.5%
1 108
 
4.5%
2 62
 
2.6%
3 56
 
2.3%
4 43
 
1.8%
5 45
 
1.9%
6 33
 
1.4%
7 31
 
1.3%
8 25
 
1.0%
9 28
 
1.2%
ValueCountFrequency (%)
75883 1
< 0.1%
25625 1
< 0.1%
20819 1
< 0.1%
18837 1
< 0.1%
17408 1
< 0.1%
17165 1
< 0.1%
9569 1
< 0.1%
9502 1
< 0.1%
9283 1
< 0.1%
7266 1
< 0.1%

2015-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct391
Distinct (%)17.3%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean186.4836
Minimum0
Maximum60013
Zeros853
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:54.497299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q356
95-th percentile517.25
Maximum60013
Range60013
Interquartile range (IQR)56

Descriptive statistics

Standard deviation1660.3328
Coefficient of variation (CV)8.9033719
Kurtosis838.18782
Mean186.4836
Median Absolute Deviation (MAD)5
Skewness26.341882
Sum420707
Variance2756705.1
MonotonicityNot monotonic
2024-04-06T18:03:54.763317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 853
35.3%
1 93
 
3.8%
2 74
 
3.1%
3 45
 
1.9%
6 38
 
1.6%
4 37
 
1.5%
5 35
 
1.4%
7 30
 
1.2%
10 30
 
1.2%
9 26
 
1.1%
Other values (381) 995
41.2%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 853
35.3%
1 93
 
3.8%
2 74
 
3.1%
3 45
 
1.9%
4 37
 
1.5%
5 35
 
1.4%
6 38
 
1.6%
7 30
 
1.2%
8 24
 
1.0%
9 26
 
1.1%
ValueCountFrequency (%)
60013 1
< 0.1%
30146 1
< 0.1%
29072 1
< 0.1%
13656 1
< 0.1%
11221 1
< 0.1%
9380 1
< 0.1%
6748 1
< 0.1%
5785 1
< 0.1%
5619 1
< 0.1%
5537 1
< 0.1%

2015-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct368
Distinct (%)16.3%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean142.34619
Minimum0
Maximum54344
Zeros878
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:55.009761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile403.5
Maximum54344
Range54344
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1367.0022
Coefficient of variation (CV)9.6033633
Kurtosis1131.0914
Mean142.34619
Median Absolute Deviation (MAD)3
Skewness30.598175
Sum321133
Variance1868694.9
MonotonicityNot monotonic
2024-04-06T18:03:55.721493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 878
36.3%
1 116
 
4.8%
2 82
 
3.4%
3 64
 
2.6%
4 51
 
2.1%
5 46
 
1.9%
7 38
 
1.6%
6 33
 
1.4%
12 29
 
1.2%
8 23
 
1.0%
Other values (358) 896
37.1%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 878
36.3%
1 116
 
4.8%
2 82
 
3.4%
3 64
 
2.6%
4 51
 
2.1%
5 46
 
1.9%
6 33
 
1.4%
7 38
 
1.6%
8 23
 
1.0%
9 11
 
0.5%
ValueCountFrequency (%)
54344 1
< 0.1%
19946 1
< 0.1%
16660 1
< 0.1%
13730 1
< 0.1%
8490 1
< 0.1%
7595 1
< 0.1%
7533 1
< 0.1%
5342 1
< 0.1%
4437 1
< 0.1%
4250 1
< 0.1%

2015-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct352
Distinct (%)15.6%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean134.70301
Minimum0
Maximum51455
Zeros884
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:55.951619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q343
95-th percentile396.5
Maximum51455
Range51455
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1285.5652
Coefficient of variation (CV)9.5437004
Kurtosis1160.7615
Mean134.70301
Median Absolute Deviation (MAD)4
Skewness31.074495
Sum303890
Variance1652677.9
MonotonicityNot monotonic
2024-04-06T18:03:56.220513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 884
36.6%
1 107
 
4.4%
2 80
 
3.3%
4 58
 
2.4%
5 42
 
1.7%
7 38
 
1.6%
3 38
 
1.6%
6 33
 
1.4%
10 28
 
1.2%
8 26
 
1.1%
Other values (342) 922
38.2%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 884
36.6%
1 107
 
4.4%
2 80
 
3.3%
3 38
 
1.6%
4 58
 
2.4%
5 42
 
1.7%
6 33
 
1.4%
7 38
 
1.6%
8 26
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
51455 1
< 0.1%
19001 1
< 0.1%
15821 1
< 0.1%
11032 1
< 0.1%
8466 1
< 0.1%
7257 1
< 0.1%
5793 1
< 0.1%
5158 1
< 0.1%
4400 1
< 0.1%
4356 1
< 0.1%

2015-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct374
Distinct (%)16.6%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean151.84574
Minimum0
Maximum57003
Zeros854
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:56.482987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q347
95-th percentile486.75
Maximum57003
Range57003
Interquartile range (IQR)47

Descriptive statistics

Standard deviation1437.0212
Coefficient of variation (CV)9.4636906
Kurtosis1123.9683
Mean151.84574
Median Absolute Deviation (MAD)4
Skewness30.544636
Sum342564
Variance2065029.8
MonotonicityNot monotonic
2024-04-06T18:03:56.713858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 854
35.3%
1 101
 
4.2%
2 71
 
2.9%
3 56
 
2.3%
4 53
 
2.2%
7 35
 
1.4%
9 34
 
1.4%
5 32
 
1.3%
8 29
 
1.2%
6 26
 
1.1%
Other values (364) 965
39.9%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 854
35.3%
1 101
 
4.2%
2 71
 
2.9%
3 56
 
2.3%
4 53
 
2.2%
5 32
 
1.3%
6 26
 
1.1%
7 35
 
1.4%
8 29
 
1.2%
9 34
 
1.4%
ValueCountFrequency (%)
57003 1
< 0.1%
20832 1
< 0.1%
19118 1
< 0.1%
13726 1
< 0.1%
8987 1
< 0.1%
8445 1
< 0.1%
6401 1
< 0.1%
5795 1
< 0.1%
5383 1
< 0.1%
5063 1
< 0.1%

2015-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct392
Distinct (%)17.4%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean159.38387
Minimum0
Maximum62053
Zeros846
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:56.962715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q348
95-th percentile457.75
Maximum62053
Range62053
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1541.4551
Coefficient of variation (CV)9.6713371
Kurtosis1182.7984
Mean159.38387
Median Absolute Deviation (MAD)4
Skewness31.3731
Sum359570
Variance2376083.8
MonotonicityNot monotonic
2024-04-06T18:03:57.218630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 846
35.0%
1 116
 
4.8%
2 70
 
2.9%
4 54
 
2.2%
3 52
 
2.2%
5 40
 
1.7%
6 37
 
1.5%
9 33
 
1.4%
7 31
 
1.3%
8 30
 
1.2%
Other values (382) 947
39.2%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 846
35.0%
1 116
 
4.8%
2 70
 
2.9%
3 52
 
2.2%
4 54
 
2.2%
5 40
 
1.7%
6 37
 
1.5%
7 31
 
1.3%
8 30
 
1.2%
9 33
 
1.4%
ValueCountFrequency (%)
62053 1
< 0.1%
20738 1
< 0.1%
19231 1
< 0.1%
14937 1
< 0.1%
10272 1
< 0.1%
8675 1
< 0.1%
7043 1
< 0.1%
5985 1
< 0.1%
5364 1
< 0.1%
4929 1
< 0.1%

2015-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct429
Distinct (%)19.0%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean202.07004
Minimum0
Maximum79492
Zeros842
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:57.473396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q359.25
95-th percentile621.5
Maximum79492
Range79492
Interquartile range (IQR)59.25

Descriptive statistics

Standard deviation1970.7765
Coefficient of variation (CV)9.7529377
Kurtosis1191.6265
Mean202.07004
Median Absolute Deviation (MAD)6
Skewness31.506408
Sum455870
Variance3883959.9
MonotonicityNot monotonic
2024-04-06T18:03:57.776219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 842
34.9%
1 91
 
3.8%
2 67
 
2.8%
5 45
 
1.9%
3 41
 
1.7%
6 38
 
1.6%
4 35
 
1.4%
7 33
 
1.4%
8 30
 
1.2%
10 26
 
1.1%
Other values (419) 1008
41.7%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 842
34.9%
1 91
 
3.8%
2 67
 
2.8%
3 41
 
1.7%
4 35
 
1.4%
5 45
 
1.9%
6 38
 
1.6%
7 33
 
1.4%
8 30
 
1.2%
9 24
 
1.0%
ValueCountFrequency (%)
79492 1
< 0.1%
27277 1
< 0.1%
23821 1
< 0.1%
17182 1
< 0.1%
13737 1
< 0.1%
12095 1
< 0.1%
9424 1
< 0.1%
8692 1
< 0.1%
6815 1
< 0.1%
6482 1
< 0.1%

2016-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)16.2%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean134.42332
Minimum0
Maximum48878
Zeros908
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:58.062497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile394.25
Maximum48878
Range48878
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1250.9734
Coefficient of variation (CV)9.3062237
Kurtosis1065.2459
Mean134.42332
Median Absolute Deviation (MAD)3
Skewness29.617057
Sum303259
Variance1564934.6
MonotonicityNot monotonic
2024-04-06T18:03:58.313455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 908
37.6%
1 108
 
4.5%
2 86
 
3.6%
3 63
 
2.6%
4 53
 
2.2%
5 36
 
1.5%
6 33
 
1.4%
8 31
 
1.3%
10 29
 
1.2%
11 26
 
1.1%
Other values (355) 883
36.5%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 908
37.6%
1 108
 
4.5%
2 86
 
3.6%
3 63
 
2.6%
4 53
 
2.2%
5 36
 
1.5%
6 33
 
1.4%
7 21
 
0.9%
8 31
 
1.3%
9 24
 
1.0%
ValueCountFrequency (%)
48878 1
< 0.1%
19140 1
< 0.1%
17070 1
< 0.1%
11549 1
< 0.1%
7401 1
< 0.1%
6334 1
< 0.1%
6133 1
< 0.1%
5499 1
< 0.1%
5366 1
< 0.1%
5166 1
< 0.1%

2016-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct360
Distinct (%)16.0%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean137.75931
Minimum0
Maximum56640
Zeros919
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:58.596681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q335.25
95-th percentile389
Maximum56640
Range56640
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation1381.8195
Coefficient of variation (CV)10.03068
Kurtosis1262.1093
Mean137.75931
Median Absolute Deviation (MAD)3
Skewness32.486201
Sum310785
Variance1909425.2
MonotonicityNot monotonic
2024-04-06T18:03:58.855113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 919
38.0%
1 103
 
4.3%
3 76
 
3.1%
2 73
 
3.0%
4 44
 
1.8%
5 42
 
1.7%
7 38
 
1.6%
6 37
 
1.5%
9 29
 
1.2%
10 22
 
0.9%
Other values (350) 873
36.1%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 919
38.0%
1 103
 
4.3%
2 73
 
3.0%
3 76
 
3.1%
4 44
 
1.8%
5 42
 
1.7%
6 37
 
1.5%
7 38
 
1.6%
8 22
 
0.9%
9 29
 
1.2%
ValueCountFrequency (%)
56640 1
< 0.1%
17917 1
< 0.1%
15111 1
< 0.1%
10578 1
< 0.1%
9606 1
< 0.1%
8829 1
< 0.1%
6782 1
< 0.1%
5755 1
< 0.1%
5250 1
< 0.1%
5105 1
< 0.1%

2016-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct404
Distinct (%)17.9%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean191.07624
Minimum0
Maximum74789
Zeros870
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:59.142689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346.25
95-th percentile594.25
Maximum74789
Range74789
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation1865.0207
Coefficient of variation (CV)9.7606104
Kurtosis1167.1875
Mean191.07624
Median Absolute Deviation (MAD)4
Skewness31.140585
Sum431068
Variance3478302.3
MonotonicityNot monotonic
2024-04-06T18:03:59.406462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 870
36.0%
1 114
 
4.7%
2 80
 
3.3%
3 55
 
2.3%
4 44
 
1.8%
6 40
 
1.7%
5 36
 
1.5%
7 33
 
1.4%
9 31
 
1.3%
12 29
 
1.2%
Other values (394) 924
38.2%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 870
36.0%
1 114
 
4.7%
2 80
 
3.3%
3 55
 
2.3%
4 44
 
1.8%
5 36
 
1.5%
6 40
 
1.7%
7 33
 
1.4%
8 25
 
1.0%
9 31
 
1.3%
ValueCountFrequency (%)
74789 1
< 0.1%
26486 1
< 0.1%
22961 1
< 0.1%
16389 1
< 0.1%
13175 1
< 0.1%
11215 1
< 0.1%
8868 1
< 0.1%
7569 1
< 0.1%
6979 1
< 0.1%
5067 1
< 0.1%

2016-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct384
Distinct (%)17.0%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean163.1516
Minimum0
Maximum62638
Zeros862
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:03:59.651335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q347
95-th percentile523
Maximum62638
Range62638
Interquartile range (IQR)47

Descriptive statistics

Standard deviation1563.8778
Coefficient of variation (CV)9.5854276
Kurtosis1163.7971
Mean163.1516
Median Absolute Deviation (MAD)4
Skewness31.134618
Sum368070
Variance2445713.8
MonotonicityNot monotonic
2024-04-06T18:03:59.886768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 862
35.7%
1 111
 
4.6%
2 70
 
2.9%
3 64
 
2.6%
5 48
 
2.0%
4 38
 
1.6%
7 37
 
1.5%
6 36
 
1.5%
8 26
 
1.1%
9 24
 
1.0%
Other values (374) 940
38.9%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 862
35.7%
1 111
 
4.6%
2 70
 
2.9%
3 64
 
2.6%
4 38
 
1.6%
5 48
 
2.0%
6 36
 
1.5%
7 37
 
1.5%
8 26
 
1.1%
9 24
 
1.0%
ValueCountFrequency (%)
62638 1
< 0.1%
22387 1
< 0.1%
20389 1
< 0.1%
12697 1
< 0.1%
11051 1
< 0.1%
8306 1
< 0.1%
7410 1
< 0.1%
6467 1
< 0.1%
6186 1
< 0.1%
5113 1
< 0.1%

2016-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct408
Distinct (%)18.1%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean187.26551
Minimum0
Maximum58648
Zeros860
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:00.167541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q348
95-th percentile480.5
Maximum58648
Range58648
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1728.9189
Coefficient of variation (CV)9.2324469
Kurtosis655.70859
Mean187.26551
Median Absolute Deviation (MAD)4
Skewness22.969717
Sum422471
Variance2989160.6
MonotonicityNot monotonic
2024-04-06T18:04:00.404861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 860
35.6%
1 118
 
4.9%
2 72
 
3.0%
3 61
 
2.5%
4 56
 
2.3%
7 35
 
1.4%
6 33
 
1.4%
9 32
 
1.3%
8 28
 
1.2%
5 28
 
1.2%
Other values (398) 933
38.6%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 860
35.6%
1 118
 
4.9%
2 72
 
3.0%
3 61
 
2.5%
4 56
 
2.3%
5 28
 
1.2%
6 33
 
1.4%
7 35
 
1.4%
8 28
 
1.2%
9 32
 
1.3%
ValueCountFrequency (%)
58648 1
< 0.1%
27836 1
< 0.1%
23629 1
< 0.1%
23356 1
< 0.1%
21830 1
< 0.1%
18624 1
< 0.1%
12885 1
< 0.1%
9754 1
< 0.1%
9401 1
< 0.1%
6356 1
< 0.1%

2016-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct390
Distinct (%)17.3%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean182.09885
Minimum0
Maximum71692
Zeros859
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:00.650190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q349
95-th percentile521.5
Maximum71692
Range71692
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1770.6595
Coefficient of variation (CV)9.7236172
Kurtosis1206.1292
Mean182.09885
Median Absolute Deviation (MAD)4
Skewness31.648888
Sum410815
Variance3135235
MonotonicityNot monotonic
2024-04-06T18:04:00.908091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 859
35.6%
1 97
 
4.0%
2 72
 
3.0%
3 63
 
2.6%
4 47
 
1.9%
5 41
 
1.7%
7 40
 
1.7%
10 30
 
1.2%
12 28
 
1.2%
11 27
 
1.1%
Other values (380) 952
39.4%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 859
35.6%
1 97
 
4.0%
2 72
 
3.0%
3 63
 
2.6%
4 47
 
1.9%
5 41
 
1.7%
6 27
 
1.1%
7 40
 
1.7%
8 18
 
0.7%
9 27
 
1.1%
ValueCountFrequency (%)
71692 1
< 0.1%
23321 1
< 0.1%
21165 1
< 0.1%
15937 1
< 0.1%
11369 1
< 0.1%
9241 1
< 0.1%
8508 1
< 0.1%
8057 1
< 0.1%
6961 1
< 0.1%
6938 1
< 0.1%

2016-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct377
Distinct (%)16.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean201.07527
Minimum0
Maximum55229
Zeros852
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:01.145658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346.25
95-th percentile464.35
Maximum55229
Range55229
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation1934.2623
Coefficient of variation (CV)9.6195931
Kurtosis559.50115
Mean201.07527
Median Absolute Deviation (MAD)4
Skewness22.037184
Sum448800
Variance3741370.5
MonotonicityNot monotonic
2024-04-06T18:04:01.395049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 852
35.3%
1 109
 
4.5%
2 86
 
3.6%
3 61
 
2.5%
5 40
 
1.7%
7 39
 
1.6%
6 36
 
1.5%
4 35
 
1.4%
8 24
 
1.0%
10 24
 
1.0%
Other values (367) 926
38.3%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 852
35.3%
1 109
 
4.5%
2 86
 
3.6%
3 61
 
2.5%
4 35
 
1.4%
5 40
 
1.7%
6 36
 
1.5%
7 39
 
1.6%
8 24
 
1.0%
9 22
 
0.9%
ValueCountFrequency (%)
55229 1
< 0.1%
52162 1
< 0.1%
25686 1
< 0.1%
22719 1
< 0.1%
22638 1
< 0.1%
17738 1
< 0.1%
12161 1
< 0.1%
7895 1
< 0.1%
7795 1
< 0.1%
6882 1
< 0.1%

2016-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct375
Distinct (%)16.6%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean151.75754
Minimum0
Maximum53948
Zeros898
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:01.632547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q344
95-th percentile430.5
Maximum53948
Range53948
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1399.6842
Coefficient of variation (CV)9.2231614
Kurtosis1017.8465
Mean151.75754
Median Absolute Deviation (MAD)3
Skewness28.919817
Sum342365
Variance1959116
MonotonicityNot monotonic
2024-04-06T18:04:01.857357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 898
37.2%
1 114
 
4.7%
2 72
 
3.0%
3 63
 
2.6%
4 51
 
2.1%
6 37
 
1.5%
8 33
 
1.4%
5 27
 
1.1%
7 26
 
1.1%
10 25
 
1.0%
Other values (365) 910
37.7%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 898
37.2%
1 114
 
4.7%
2 72
 
3.0%
3 63
 
2.6%
4 51
 
2.1%
5 27
 
1.1%
6 37
 
1.5%
7 26
 
1.1%
8 33
 
1.4%
9 20
 
0.8%
ValueCountFrequency (%)
53948 1
< 0.1%
22915 1
< 0.1%
18757 1
< 0.1%
13710 1
< 0.1%
9256 1
< 0.1%
6747 1
< 0.1%
6232 1
< 0.1%
5719 1
< 0.1%
5707 1
< 0.1%
5072 1
< 0.1%

2016-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct367
Distinct (%)16.3%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean133.87943
Minimum0
Maximum48098
Zeros903
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:02.136036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q337
95-th percentile419
Maximum48098
Range48098
Interquartile range (IQR)37

Descriptive statistics

Standard deviation1233.5891
Coefficient of variation (CV)9.2141796
Kurtosis1063.9682
Mean133.87943
Median Absolute Deviation (MAD)3
Skewness29.681677
Sum302032
Variance1521742.2
MonotonicityNot monotonic
2024-04-06T18:04:02.435491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 903
37.4%
1 114
 
4.7%
3 73
 
3.0%
2 72
 
3.0%
4 61
 
2.5%
5 42
 
1.7%
9 29
 
1.2%
7 29
 
1.2%
6 27
 
1.1%
14 26
 
1.1%
Other values (357) 880
36.4%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 903
37.4%
1 114
 
4.7%
2 72
 
3.0%
3 73
 
3.0%
4 61
 
2.5%
5 42
 
1.7%
6 27
 
1.1%
7 29
 
1.2%
8 20
 
0.8%
9 29
 
1.2%
ValueCountFrequency (%)
48098 1
< 0.1%
21247 1
< 0.1%
14688 1
< 0.1%
10245 1
< 0.1%
8598 1
< 0.1%
6709 1
< 0.1%
5569 1
< 0.1%
5228 1
< 0.1%
4481 1
< 0.1%
4475 1
< 0.1%

2016-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct378
Distinct (%)16.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean151.11246
Minimum0
Maximum57770
Zeros865
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:02.667166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q345
95-th percentile421.9
Maximum57770
Range57770
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1469.7625
Coefficient of variation (CV)9.7262832
Kurtosis1097.5776
Mean151.11246
Median Absolute Deviation (MAD)3.5
Skewness30.176727
Sum337283
Variance2160201.9
MonotonicityNot monotonic
2024-04-06T18:04:03.370879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 865
35.8%
1 120
 
5.0%
2 75
 
3.1%
4 58
 
2.4%
3 56
 
2.3%
5 40
 
1.7%
6 39
 
1.6%
8 30
 
1.2%
9 28
 
1.2%
7 28
 
1.2%
Other values (368) 893
37.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 865
35.8%
1 120
 
5.0%
2 75
 
3.1%
3 56
 
2.3%
4 58
 
2.4%
5 40
 
1.7%
6 39
 
1.6%
7 28
 
1.2%
8 30
 
1.2%
9 28
 
1.2%
ValueCountFrequency (%)
57770 1
< 0.1%
22244 1
< 0.1%
17346 1
< 0.1%
15772 1
< 0.1%
10766 1
< 0.1%
7004 1
< 0.1%
6271 1
< 0.1%
6182 1
< 0.1%
5215 1
< 0.1%
5015 1
< 0.1%

2016-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct394
Distinct (%)17.7%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean160.54884
Minimum0
Maximum52510
Zeros854
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:03.621284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q348
95-th percentile441
Maximum52510
Range52510
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1416.0222
Coefficient of variation (CV)8.8198845
Kurtosis915.51967
Mean160.54884
Median Absolute Deviation (MAD)4
Skewness27.448376
Sum358345
Variance2005118.8
MonotonicityNot monotonic
2024-04-06T18:04:03.895550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 854
35.3%
1 114
 
4.7%
2 79
 
3.3%
3 60
 
2.5%
4 41
 
1.7%
6 37
 
1.5%
7 29
 
1.2%
5 28
 
1.2%
9 28
 
1.2%
10 27
 
1.1%
Other values (384) 935
38.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 854
35.3%
1 114
 
4.7%
2 79
 
3.3%
3 60
 
2.5%
4 41
 
1.7%
5 28
 
1.2%
6 37
 
1.5%
7 29
 
1.2%
8 23
 
1.0%
9 28
 
1.2%
ValueCountFrequency (%)
52510 1
< 0.1%
27986 1
< 0.1%
16571 1
< 0.1%
11260 1
< 0.1%
9615 1
< 0.1%
7561 1
< 0.1%
6214 1
< 0.1%
5942 1
< 0.1%
5785 1
< 0.1%
5780 1
< 0.1%

2016-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct427
Distinct (%)19.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean207.90591
Minimum0
Maximum74695
Zeros846
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:04.155460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q355
95-th percentile604.25
Maximum74695
Range74695
Interquartile range (IQR)55

Descriptive statistics

Standard deviation1981.1061
Coefficient of variation (CV)9.528859
Kurtosis968.23973
Mean207.90591
Median Absolute Deviation (MAD)4
Skewness28.330021
Sum464046
Variance3924781.6
MonotonicityNot monotonic
2024-04-06T18:04:04.423577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 846
35.0%
1 119
 
4.9%
2 58
 
2.4%
4 56
 
2.3%
3 55
 
2.3%
6 36
 
1.5%
8 31
 
1.3%
9 30
 
1.2%
5 29
 
1.2%
10 27
 
1.1%
Other values (417) 945
39.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 846
35.0%
1 119
 
4.9%
2 58
 
2.4%
3 55
 
2.3%
4 56
 
2.3%
5 29
 
1.2%
6 36
 
1.5%
7 26
 
1.1%
8 31
 
1.3%
9 30
 
1.2%
ValueCountFrequency (%)
74695 1
< 0.1%
38685 1
< 0.1%
20508 1
< 0.1%
14913 1
< 0.1%
13714 1
< 0.1%
12094 1
< 0.1%
10620 1
< 0.1%
9982 1
< 0.1%
8849 1
< 0.1%
8578 1
< 0.1%

2017-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct368
Distinct (%)16.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean144.95161
Minimum0
Maximum51314
Zeros849
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:04.765620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q338
95-th percentile440.25
Maximum51314
Range51314
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1327.9926
Coefficient of variation (CV)9.1616267
Kurtosis1035.8283
Mean144.95161
Median Absolute Deviation (MAD)4
Skewness29.210007
Sum323532
Variance1763564.3
MonotonicityNot monotonic
2024-04-06T18:04:05.015584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 849
35.1%
1 125
 
5.2%
2 72
 
3.0%
3 54
 
2.2%
4 51
 
2.1%
5 49
 
2.0%
7 37
 
1.5%
6 34
 
1.4%
10 29
 
1.2%
8 26
 
1.1%
Other values (358) 906
37.5%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 849
35.1%
1 125
 
5.2%
2 72
 
3.0%
3 54
 
2.2%
4 51
 
2.1%
5 49
 
2.0%
6 34
 
1.4%
7 37
 
1.5%
8 26
 
1.1%
9 26
 
1.1%
ValueCountFrequency (%)
51314 1
< 0.1%
21945 1
< 0.1%
16960 1
< 0.1%
11449 1
< 0.1%
8030 1
< 0.1%
6352 1
< 0.1%
6018 1
< 0.1%
6001 1
< 0.1%
5513 1
< 0.1%
5338 1
< 0.1%

2017-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)16.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean153.66577
Minimum0
Maximum55827
Zeros838
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:05.280322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q341
95-th percentile491.35
Maximum55827
Range55827
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1433.6181
Coefficient of variation (CV)9.3294566
Kurtosis1065.6384
Mean153.66577
Median Absolute Deviation (MAD)4
Skewness29.724753
Sum342982
Variance2055261
MonotonicityNot monotonic
2024-04-06T18:04:05.507234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 838
34.7%
1 121
 
5.0%
2 86
 
3.6%
3 55
 
2.3%
4 45
 
1.9%
6 37
 
1.5%
5 36
 
1.5%
7 35
 
1.4%
9 34
 
1.4%
10 28
 
1.2%
Other values (355) 917
38.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 838
34.7%
1 121
 
5.0%
2 86
 
3.6%
3 55
 
2.3%
4 45
 
1.9%
5 36
 
1.5%
6 37
 
1.5%
7 35
 
1.4%
8 28
 
1.2%
9 34
 
1.4%
ValueCountFrequency (%)
55827 1
< 0.1%
23743 1
< 0.1%
16769 1
< 0.1%
13250 1
< 0.1%
10995 1
< 0.1%
7067 1
< 0.1%
6365 1
< 0.1%
5873 1
< 0.1%
5604 1
< 0.1%
5007 1
< 0.1%

2017-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct406
Distinct (%)18.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean193.31407
Minimum0
Maximum77652
Zeros799
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:05.737440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q353
95-th percentile623.7
Maximum77652
Range77652
Interquartile range (IQR)53

Descriptive statistics

Standard deviation1916.0346
Coefficient of variation (CV)9.9115114
Kurtosis1221.8847
Mean193.31407
Median Absolute Deviation (MAD)5
Skewness31.961547
Sum431477
Variance3671188.6
MonotonicityNot monotonic
2024-04-06T18:04:05.952165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 799
33.1%
1 111
 
4.6%
2 92
 
3.8%
3 55
 
2.3%
4 43
 
1.8%
6 38
 
1.6%
5 34
 
1.4%
8 32
 
1.3%
9 32
 
1.3%
7 29
 
1.2%
Other values (396) 967
40.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 799
33.1%
1 111
 
4.6%
2 92
 
3.8%
3 55
 
2.3%
4 43
 
1.8%
5 34
 
1.4%
6 38
 
1.6%
7 29
 
1.2%
8 32
 
1.3%
9 32
 
1.3%
ValueCountFrequency (%)
77652 1
< 0.1%
23677 1
< 0.1%
23058 1
< 0.1%
16952 1
< 0.1%
15380 1
< 0.1%
8853 1
< 0.1%
8670 1
< 0.1%
8572 1
< 0.1%
8169 1
< 0.1%
6150 1
< 0.1%

2017-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct391
Distinct (%)17.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean170.41711
Minimum0
Maximum69119
Zeros797
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:06.220656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q348
95-th percentile537.15
Maximum69119
Range69119
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1686.7176
Coefficient of variation (CV)9.8975836
Kurtosis1271.6143
Mean170.41711
Median Absolute Deviation (MAD)5
Skewness32.66324
Sum380371
Variance2845016.4
MonotonicityNot monotonic
2024-04-06T18:04:06.471457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 797
33.0%
1 116
 
4.8%
2 78
 
3.2%
3 62
 
2.6%
4 49
 
2.0%
5 42
 
1.7%
8 35
 
1.4%
7 34
 
1.4%
6 27
 
1.1%
10 26
 
1.1%
Other values (381) 966
40.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 797
33.0%
1 116
 
4.8%
2 78
 
3.2%
3 62
 
2.6%
4 49
 
2.0%
5 42
 
1.7%
6 27
 
1.1%
7 34
 
1.4%
8 35
 
1.4%
9 23
 
1.0%
ValueCountFrequency (%)
69119 1
< 0.1%
20693 1
< 0.1%
16815 1
< 0.1%
14515 1
< 0.1%
14364 1
< 0.1%
9862 1
< 0.1%
8121 1
< 0.1%
6556 1
< 0.1%
6407 1
< 0.1%
5318 1
< 0.1%

2017-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct394
Distinct (%)17.7%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean173.63575
Minimum0
Maximum69997
Zeros798
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:06.773056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q348
95-th percentile558.45
Maximum69997
Range69997
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1718.1344
Coefficient of variation (CV)9.8950497
Kurtosis1245.7041
Mean173.63575
Median Absolute Deviation (MAD)4
Skewness32.312384
Sum387555
Variance2951985.8
MonotonicityNot monotonic
2024-04-06T18:04:07.003561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 798
33.0%
1 132
 
5.5%
2 79
 
3.3%
3 60
 
2.5%
4 54
 
2.2%
5 40
 
1.7%
6 38
 
1.6%
7 36
 
1.5%
8 31
 
1.3%
9 31
 
1.3%
Other values (384) 933
38.6%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 798
33.0%
1 132
 
5.5%
2 79
 
3.3%
3 60
 
2.5%
4 54
 
2.2%
5 40
 
1.7%
6 38
 
1.6%
7 36
 
1.5%
8 31
 
1.3%
9 31
 
1.3%
ValueCountFrequency (%)
69997 1
< 0.1%
22377 1
< 0.1%
17271 1
< 0.1%
15900 1
< 0.1%
13938 1
< 0.1%
9882 1
< 0.1%
6693 1
< 0.1%
6680 1
< 0.1%
6374 1
< 0.1%
6296 1
< 0.1%

2017-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct407
Distinct (%)18.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean180.19489
Minimum0
Maximum74273
Zeros793
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:07.256182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q351
95-th percentile567.55
Maximum74273
Range74273
Interquartile range (IQR)51

Descriptive statistics

Standard deviation1798.7642
Coefficient of variation (CV)9.9823265
Kurtosis1308.7275
Mean180.19489
Median Absolute Deviation (MAD)5
Skewness33.214642
Sum402195
Variance3235552.8
MonotonicityNot monotonic
2024-04-06T18:04:07.506437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 793
32.8%
1 117
 
4.8%
2 75
 
3.1%
3 49
 
2.0%
5 43
 
1.8%
4 43
 
1.8%
6 39
 
1.6%
11 30
 
1.2%
8 30
 
1.2%
10 26
 
1.1%
Other values (397) 987
40.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 793
32.8%
1 117
 
4.8%
2 75
 
3.1%
3 49
 
2.0%
4 43
 
1.8%
5 43
 
1.8%
6 39
 
1.6%
7 24
 
1.0%
8 30
 
1.2%
9 25
 
1.0%
ValueCountFrequency (%)
74273 1
< 0.1%
21985 1
< 0.1%
17268 1
< 0.1%
16218 1
< 0.1%
11153 1
< 0.1%
9506 1
< 0.1%
8442 1
< 0.1%
8091 1
< 0.1%
8076 1
< 0.1%
6787 1
< 0.1%

2017-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct397
Distinct (%)17.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean187.02509
Minimum0
Maximum69688
Zeros806
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:07.771199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q353.25
95-th percentile536.45
Maximum69688
Range69688
Interquartile range (IQR)53.25

Descriptive statistics

Standard deviation1766.0422
Coefficient of variation (CV)9.4428087
Kurtosis1108.7823
Mean187.02509
Median Absolute Deviation (MAD)4
Skewness30.195182
Sum417440
Variance3118904.9
MonotonicityNot monotonic
2024-04-06T18:04:08.019366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 806
33.4%
1 125
 
5.2%
2 70
 
2.9%
4 60
 
2.5%
3 57
 
2.4%
5 37
 
1.5%
7 32
 
1.3%
10 26
 
1.1%
8 26
 
1.1%
13 25
 
1.0%
Other values (387) 968
40.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 806
33.4%
1 125
 
5.2%
2 70
 
2.9%
3 57
 
2.4%
4 60
 
2.5%
5 37
 
1.5%
6 21
 
0.9%
7 32
 
1.3%
8 26
 
1.1%
9 24
 
1.0%
ValueCountFrequency (%)
69688 1
< 0.1%
26165 1
< 0.1%
19888 1
< 0.1%
17190 1
< 0.1%
11749 1
< 0.1%
8987 1
< 0.1%
8509 1
< 0.1%
7903 1
< 0.1%
7394 1
< 0.1%
7230 1
< 0.1%

2017-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct389
Distinct (%)17.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean172.17115
Minimum0
Maximum68378
Zeros812
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:08.245727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q352
95-th percentile508.35
Maximum68378
Range68378
Interquartile range (IQR)52

Descriptive statistics

Standard deviation1694.0575
Coefficient of variation (CV)9.839381
Kurtosis1206.5738
Mean172.17115
Median Absolute Deviation (MAD)5
Skewness31.789894
Sum384286
Variance2869830.9
MonotonicityNot monotonic
2024-04-06T18:04:08.486716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 812
33.6%
1 119
 
4.9%
2 67
 
2.8%
3 60
 
2.5%
4 53
 
2.2%
5 41
 
1.7%
6 37
 
1.5%
7 36
 
1.5%
11 33
 
1.4%
10 32
 
1.3%
Other values (379) 942
39.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 812
33.6%
1 119
 
4.9%
2 67
 
2.8%
3 60
 
2.5%
4 53
 
2.2%
5 41
 
1.7%
6 37
 
1.5%
7 36
 
1.5%
8 18
 
0.7%
9 20
 
0.8%
ValueCountFrequency (%)
68378 1
< 0.1%
23689 1
< 0.1%
18494 1
< 0.1%
17088 1
< 0.1%
9339 1
< 0.1%
9284 1
< 0.1%
7501 1
< 0.1%
7281 1
< 0.1%
6004 1
< 0.1%
5813 1
< 0.1%

2017-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct389
Distinct (%)17.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean168.48253
Minimum0
Maximum63100
Zeros805
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:08.750928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q348.25
95-th percentile489.45
Maximum63100
Range63100
Interquartile range (IQR)48.25

Descriptive statistics

Standard deviation1592.1293
Coefficient of variation (CV)9.4498184
Kurtosis1127.3587
Mean168.48253
Median Absolute Deviation (MAD)4
Skewness30.5264
Sum376053
Variance2534875.6
MonotonicityNot monotonic
2024-04-06T18:04:09.060396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 805
33.3%
1 125
 
5.2%
2 86
 
3.6%
3 64
 
2.6%
4 43
 
1.8%
6 29
 
1.2%
7 29
 
1.2%
5 28
 
1.2%
8 28
 
1.2%
9 25
 
1.0%
Other values (379) 970
40.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 805
33.3%
1 125
 
5.2%
2 86
 
3.6%
3 64
 
2.6%
4 43
 
1.8%
5 28
 
1.2%
6 29
 
1.2%
7 29
 
1.2%
8 28
 
1.2%
9 25
 
1.0%
ValueCountFrequency (%)
63100 1
< 0.1%
23139 1
< 0.1%
19102 1
< 0.1%
14595 1
< 0.1%
9680 1
< 0.1%
8744 1
< 0.1%
7724 1
< 0.1%
7633 1
< 0.1%
7322 1
< 0.1%
6052 1
< 0.1%

2017-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)15.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean135.22491
Minimum0
Maximum55131
Zeros835
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:09.283510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336.25
95-th percentile394
Maximum55131
Range55131
Interquartile range (IQR)36.25

Descriptive statistics

Standard deviation1355.9357
Coefficient of variation (CV)10.027263
Kurtosis1235.9512
Mean135.22491
Median Absolute Deviation (MAD)3
Skewness32.136117
Sum301822
Variance1838561.7
MonotonicityNot monotonic
2024-04-06T18:04:09.478351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 835
34.6%
1 136
 
5.6%
2 91
 
3.8%
4 63
 
2.6%
3 59
 
2.4%
7 38
 
1.6%
5 38
 
1.6%
6 33
 
1.4%
9 29
 
1.2%
8 29
 
1.2%
Other values (327) 881
36.5%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 835
34.6%
1 136
 
5.6%
2 91
 
3.8%
3 59
 
2.4%
4 63
 
2.6%
5 38
 
1.6%
6 33
 
1.4%
7 38
 
1.6%
8 29
 
1.2%
9 29
 
1.2%
ValueCountFrequency (%)
55131 1
< 0.1%
17507 1
< 0.1%
13891 1
< 0.1%
13143 1
< 0.1%
9185 1
< 0.1%
7853 1
< 0.1%
6626 1
< 0.1%
5452 1
< 0.1%
5318 1
< 0.1%
4699 1
< 0.1%

2017-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct393
Distinct (%)17.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean170.24552
Minimum0
Maximum64046
Zeros808
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:09.643221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q349
95-th percentile544
Maximum64046
Range64046
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1607.1623
Coefficient of variation (CV)9.4402616
Kurtosis1154.9557
Mean170.24552
Median Absolute Deviation (MAD)5
Skewness31.04665
Sum379988
Variance2582970.5
MonotonicityNot monotonic
2024-04-06T18:04:09.868523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 808
33.4%
1 114
 
4.7%
2 85
 
3.5%
3 55
 
2.3%
4 49
 
2.0%
5 38
 
1.6%
8 33
 
1.4%
6 29
 
1.2%
7 28
 
1.2%
14 23
 
1.0%
Other values (383) 970
40.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 808
33.4%
1 114
 
4.7%
2 85
 
3.5%
3 55
 
2.3%
4 49
 
2.0%
5 38
 
1.6%
6 29
 
1.2%
7 28
 
1.2%
8 33
 
1.4%
9 20
 
0.8%
ValueCountFrequency (%)
64046 1
< 0.1%
24989 1
< 0.1%
18453 1
< 0.1%
13375 1
< 0.1%
9320 1
< 0.1%
8020 1
< 0.1%
6981 1
< 0.1%
6900 1
< 0.1%
6715 1
< 0.1%
6358 1
< 0.1%

2017-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct413
Distinct (%)18.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean202.01792
Minimum0
Maximum79335
Zeros779
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:10.087486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q355.25
95-th percentile631.15
Maximum79335
Range79335
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation1970.4477
Coefficient of variation (CV)9.7538261
Kurtosis1196.3471
Mean202.01792
Median Absolute Deviation (MAD)5
Skewness31.620887
Sum450904
Variance3882664.1
MonotonicityNot monotonic
2024-04-06T18:04:10.868494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 779
32.2%
1 127
 
5.3%
2 87
 
3.6%
3 60
 
2.5%
4 44
 
1.8%
5 44
 
1.8%
7 36
 
1.5%
6 31
 
1.3%
10 26
 
1.1%
9 24
 
1.0%
Other values (403) 974
40.3%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 779
32.2%
1 127
 
5.3%
2 87
 
3.6%
3 60
 
2.5%
4 44
 
1.8%
5 44
 
1.8%
6 31
 
1.3%
7 36
 
1.5%
8 21
 
0.9%
9 24
 
1.0%
ValueCountFrequency (%)
79335 1
< 0.1%
28980 1
< 0.1%
21057 1
< 0.1%
17813 1
< 0.1%
10887 1
< 0.1%
10299 1
< 0.1%
8130 1
< 0.1%
8121 1
< 0.1%
8102 1
< 0.1%
7859 1
< 0.1%

2018-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct394
Distinct (%)17.7%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean177.65591
Minimum0
Maximum70146
Zeros814
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:11.159304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q349
95-th percentile565.9
Maximum70146
Range70146
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1745.5754
Coefficient of variation (CV)9.8255967
Kurtosis1188.4993
Mean177.65591
Median Absolute Deviation (MAD)4
Skewness31.526924
Sum396528
Variance3047033.3
MonotonicityNot monotonic
2024-04-06T18:04:11.393703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 814
33.7%
1 121
 
5.0%
2 94
 
3.9%
3 62
 
2.6%
5 47
 
1.9%
4 43
 
1.8%
7 33
 
1.4%
6 31
 
1.3%
8 26
 
1.1%
9 20
 
0.8%
Other values (384) 941
38.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 814
33.7%
1 121
 
5.0%
2 94
 
3.9%
3 62
 
2.6%
4 43
 
1.8%
5 47
 
1.9%
6 31
 
1.3%
7 33
 
1.4%
8 26
 
1.1%
9 20
 
0.8%
ValueCountFrequency (%)
70146 1
< 0.1%
25972 1
< 0.1%
18204 1
< 0.1%
15248 1
< 0.1%
13473 1
< 0.1%
9210 1
< 0.1%
7634 1
< 0.1%
6608 1
< 0.1%
6031 1
< 0.1%
5513 1
< 0.1%

2018-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct361
Distinct (%)16.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean142.7724
Minimum0
Maximum60285
Zeros839
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:11.669439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338
95-th percentile439.45
Maximum60285
Range60285
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1457.4351
Coefficient of variation (CV)10.208101
Kurtosis1319.0374
Mean142.7724
Median Absolute Deviation (MAD)3
Skewness33.403376
Sum318668
Variance2124117
MonotonicityNot monotonic
2024-04-06T18:04:11.909081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 839
34.7%
1 145
 
6.0%
2 94
 
3.9%
4 65
 
2.7%
3 59
 
2.4%
5 42
 
1.7%
6 40
 
1.7%
7 31
 
1.3%
10 27
 
1.1%
9 24
 
1.0%
Other values (351) 866
35.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 839
34.7%
1 145
 
6.0%
2 94
 
3.9%
3 59
 
2.4%
4 65
 
2.7%
5 42
 
1.7%
6 40
 
1.7%
7 31
 
1.3%
8 21
 
0.9%
9 24
 
1.0%
ValueCountFrequency (%)
60285 1
< 0.1%
18732 1
< 0.1%
13672 1
< 0.1%
11694 1
< 0.1%
9472 1
< 0.1%
7199 1
< 0.1%
7044 1
< 0.1%
6664 1
< 0.1%
6660 1
< 0.1%
5634 1
< 0.1%

2018-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct411
Distinct (%)18.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean195.21819
Minimum0
Maximum82043
Zeros815
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:12.172219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q352
95-th percentile573.5
Maximum82043
Range82043
Interquartile range (IQR)52

Descriptive statistics

Standard deviation1988.528
Coefficient of variation (CV)10.186182
Kurtosis1304.5152
Mean195.21819
Median Absolute Deviation (MAD)5
Skewness33.13767
Sum435727
Variance3954243.7
MonotonicityNot monotonic
2024-04-06T18:04:12.416079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 815
33.7%
1 115
 
4.8%
2 65
 
2.7%
3 63
 
2.6%
4 54
 
2.2%
5 44
 
1.8%
6 40
 
1.7%
9 31
 
1.3%
10 29
 
1.2%
7 28
 
1.2%
Other values (401) 948
39.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 815
33.7%
1 115
 
4.8%
2 65
 
2.7%
3 63
 
2.6%
4 54
 
2.2%
5 44
 
1.8%
6 40
 
1.7%
7 28
 
1.2%
8 21
 
0.9%
9 31
 
1.3%
ValueCountFrequency (%)
82043 1
< 0.1%
24378 1
< 0.1%
18422 1
< 0.1%
15548 1
< 0.1%
14517 1
< 0.1%
14399 1
< 0.1%
9343 1
< 0.1%
8673 1
< 0.1%
8378 1
< 0.1%
6188 1
< 0.1%

2018-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct391
Distinct (%)17.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean172.42876
Minimum0
Maximum70429
Zeros820
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:12.652340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q345.25
95-th percentile559.45
Maximum70429
Range70429
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation1732.1021
Coefficient of variation (CV)10.04532
Kurtosis1240.4913
Mean172.42876
Median Absolute Deviation (MAD)4
Skewness32.307329
Sum384861
Variance3000177.8
MonotonicityNot monotonic
2024-04-06T18:04:12.916706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 820
33.9%
1 130
 
5.4%
2 74
 
3.1%
3 73
 
3.0%
5 44
 
1.8%
4 43
 
1.8%
7 33
 
1.4%
8 29
 
1.2%
12 26
 
1.1%
6 26
 
1.1%
Other values (381) 934
38.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 820
33.9%
1 130
 
5.4%
2 74
 
3.1%
3 73
 
3.0%
4 43
 
1.8%
5 44
 
1.8%
6 26
 
1.1%
7 33
 
1.4%
8 29
 
1.2%
9 22
 
0.9%
ValueCountFrequency (%)
70429 1
< 0.1%
24861 1
< 0.1%
16148 1
< 0.1%
15913 1
< 0.1%
12943 1
< 0.1%
8282 1
< 0.1%
7962 1
< 0.1%
7614 1
< 0.1%
6063 1
< 0.1%
6062 1
< 0.1%

2018-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct393
Distinct (%)17.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean188.444
Minimum0
Maximum76419
Zeros829
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:13.171135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346
95-th percentile603.35
Maximum76419
Range76419
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1880.0209
Coefficient of variation (CV)9.9765496
Kurtosis1238.602
Mean188.444
Median Absolute Deviation (MAD)4
Skewness32.25786
Sum420607
Variance3534478.5
MonotonicityNot monotonic
2024-04-06T18:04:13.499622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 829
34.3%
1 103
 
4.3%
2 72
 
3.0%
3 68
 
2.8%
6 55
 
2.3%
4 49
 
2.0%
5 38
 
1.6%
8 32
 
1.3%
7 32
 
1.3%
15 26
 
1.1%
Other values (383) 928
38.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 829
34.3%
1 103
 
4.3%
2 72
 
3.0%
3 68
 
2.8%
4 49
 
2.0%
5 38
 
1.6%
6 55
 
2.3%
7 32
 
1.3%
8 32
 
1.3%
9 22
 
0.9%
ValueCountFrequency (%)
76419 1
< 0.1%
27004 1
< 0.1%
18010 1
< 0.1%
16579 1
< 0.1%
12434 1
< 0.1%
11448 1
< 0.1%
8935 1
< 0.1%
7076 1
< 0.1%
6742 1
< 0.1%
6439 1
< 0.1%

2018-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct400
Distinct (%)17.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean163.05511
Minimum0
Maximum64082
Zeros830
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:13.748152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346.25
95-th percentile495.05
Maximum64082
Range64082
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation1576.267
Coefficient of variation (CV)9.6670813
Kurtosis1236.4664
Mean163.05511
Median Absolute Deviation (MAD)4
Skewness32.158246
Sum363939
Variance2484617.6
MonotonicityNot monotonic
2024-04-06T18:04:13.974691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 830
34.4%
1 109
 
4.5%
2 105
 
4.3%
3 59
 
2.4%
4 45
 
1.9%
7 41
 
1.7%
6 35
 
1.4%
5 31
 
1.3%
8 27
 
1.1%
11 25
 
1.0%
Other values (390) 925
38.3%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 830
34.4%
1 109
 
4.5%
2 105
 
4.3%
3 59
 
2.4%
4 45
 
1.9%
5 31
 
1.3%
6 35
 
1.4%
7 41
 
1.7%
8 27
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
64082 1
< 0.1%
21654 1
< 0.1%
15365 1
< 0.1%
14173 1
< 0.1%
10946 1
< 0.1%
8560 1
< 0.1%
7958 1
< 0.1%
6256 1
< 0.1%
5715 1
< 0.1%
5408 1
< 0.1%

2018-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct384
Distinct (%)17.1%
Missing176
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean161.62813
Minimum0
Maximum60681
Zeros837
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:14.197072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q345
95-th percentile509.05
Maximum60681
Range60681
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1516.8198
Coefficient of variation (CV)9.3846279
Kurtosis1163.4795
Mean161.62813
Median Absolute Deviation (MAD)4
Skewness31.038544
Sum362047
Variance2300742.4
MonotonicityNot monotonic
2024-04-06T18:04:14.425246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 837
34.6%
1 126
 
5.2%
2 79
 
3.3%
3 58
 
2.4%
4 56
 
2.3%
5 40
 
1.7%
7 33
 
1.4%
6 30
 
1.2%
10 26
 
1.1%
8 22
 
0.9%
Other values (374) 933
38.6%
(Missing) 176
 
7.3%
ValueCountFrequency (%)
0 837
34.6%
1 126
 
5.2%
2 79
 
3.3%
3 58
 
2.4%
4 56
 
2.3%
5 40
 
1.7%
6 30
 
1.2%
7 33
 
1.4%
8 22
 
0.9%
9 18
 
0.7%
ValueCountFrequency (%)
60681 1
< 0.1%
22771 1
< 0.1%
16627 1
< 0.1%
11161 1
< 0.1%
9625 1
< 0.1%
8540 1
< 0.1%
7747 1
< 0.1%
7047 1
< 0.1%
6708 1
< 0.1%
6054 1
< 0.1%

2018-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct345
Distinct (%)15.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean134.7379
Minimum0
Maximum49710
Zeros847
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:14.668009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile427.25
Maximum49710
Range49710
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1277.822
Coefficient of variation (CV)9.4837606
Kurtosis1069.0164
Mean134.7379
Median Absolute Deviation (MAD)3
Skewness29.859697
Sum300735
Variance1632829.1
MonotonicityNot monotonic
2024-04-06T18:04:14.882228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 847
35.1%
1 137
 
5.7%
2 82
 
3.4%
3 62
 
2.6%
4 50
 
2.1%
5 41
 
1.7%
6 39
 
1.6%
8 31
 
1.3%
7 29
 
1.2%
9 28
 
1.2%
Other values (335) 886
36.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 847
35.1%
1 137
 
5.7%
2 82
 
3.4%
3 62
 
2.6%
4 50
 
2.1%
5 41
 
1.7%
6 39
 
1.6%
7 29
 
1.2%
8 31
 
1.3%
9 28
 
1.2%
ValueCountFrequency (%)
49710 1
< 0.1%
22735 1
< 0.1%
13673 1
< 0.1%
11088 1
< 0.1%
8226 1
< 0.1%
6250 1
< 0.1%
6189 1
< 0.1%
5960 1
< 0.1%
5105 1
< 0.1%
4798 1
< 0.1%

2018-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct320
Distinct (%)14.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean113.38799
Minimum0
Maximum42410
Zeros873
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:15.110486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329
95-th percentile327.9
Maximum42410
Range42410
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1076.427
Coefficient of variation (CV)9.4933071
Kurtosis1115.0732
Mean113.38799
Median Absolute Deviation (MAD)3
Skewness30.465555
Sum253082
Variance1158695.2
MonotonicityNot monotonic
2024-04-06T18:04:15.333885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 873
36.1%
1 142
 
5.9%
2 94
 
3.9%
3 66
 
2.7%
5 54
 
2.2%
4 52
 
2.2%
7 35
 
1.4%
8 34
 
1.4%
9 27
 
1.1%
12 24
 
1.0%
Other values (310) 831
34.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 873
36.1%
1 142
 
5.9%
2 94
 
3.9%
3 66
 
2.7%
4 52
 
2.2%
5 54
 
2.2%
6 24
 
1.0%
7 35
 
1.4%
8 34
 
1.4%
9 27
 
1.1%
ValueCountFrequency (%)
42410 1
< 0.1%
18765 1
< 0.1%
9923 1
< 0.1%
7739 1
< 0.1%
6798 1
< 0.1%
5411 1
< 0.1%
5187 1
< 0.1%
5122 1
< 0.1%
4768 1
< 0.1%
4364 1
< 0.1%

2018-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct381
Distinct (%)17.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean155.02016
Minimum0
Maximum59639
Zeros813
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:15.596200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346
95-th percentile420
Maximum59639
Range59639
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1505.4219
Coefficient of variation (CV)9.711136
Kurtosis1131.9526
Mean155.02016
Median Absolute Deviation (MAD)4
Skewness30.719146
Sum346005
Variance2266295
MonotonicityNot monotonic
2024-04-06T18:04:15.834893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 813
33.7%
1 126
 
5.2%
2 79
 
3.3%
4 61
 
2.5%
3 57
 
2.4%
5 43
 
1.8%
7 38
 
1.6%
6 36
 
1.5%
8 31
 
1.3%
9 28
 
1.2%
Other values (371) 920
38.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 813
33.7%
1 126
 
5.2%
2 79
 
3.3%
3 57
 
2.4%
4 61
 
2.5%
5 43
 
1.8%
6 36
 
1.5%
7 38
 
1.6%
8 31
 
1.3%
9 28
 
1.2%
ValueCountFrequency (%)
59639 1
< 0.1%
24235 1
< 0.1%
15384 1
< 0.1%
13791 1
< 0.1%
11375 1
< 0.1%
7229 1
< 0.1%
6941 1
< 0.1%
6836 1
< 0.1%
6056 1
< 0.1%
5068 1
< 0.1%

2018-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct382
Distinct (%)17.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean159.89247
Minimum0
Maximum60313
Zeros832
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:16.075877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340
95-th percentile502.35
Maximum60313
Range60313
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1523.2177
Coefficient of variation (CV)9.5265129
Kurtosis1130.9508
Mean159.89247
Median Absolute Deviation (MAD)4
Skewness30.686453
Sum356880
Variance2320192.2
MonotonicityNot monotonic
2024-04-06T18:04:16.307982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 832
34.4%
1 118
 
4.9%
2 73
 
3.0%
3 70
 
2.9%
5 55
 
2.3%
4 44
 
1.8%
6 38
 
1.6%
8 36
 
1.5%
9 30
 
1.2%
11 27
 
1.1%
Other values (372) 909
37.6%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 832
34.4%
1 118
 
4.9%
2 73
 
3.0%
3 70
 
2.9%
4 44
 
1.8%
5 55
 
2.3%
6 38
 
1.6%
7 25
 
1.0%
8 36
 
1.5%
9 30
 
1.2%
ValueCountFrequency (%)
60313 1
< 0.1%
25179 1
< 0.1%
15304 1
< 0.1%
12080 1
< 0.1%
10351 1
< 0.1%
8642 1
< 0.1%
7063 1
< 0.1%
6783 1
< 0.1%
6364 1
< 0.1%
6226 1
< 0.1%

2018-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct403
Distinct (%)18.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean176.78719
Minimum0
Maximum66418
Zeros823
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:16.542492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q348
95-th percentile584.35
Maximum66418
Range66418
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1675.7555
Coefficient of variation (CV)9.4789423
Kurtosis1133.9601
Mean176.78719
Median Absolute Deviation (MAD)5
Skewness30.733057
Sum394589
Variance2808156.6
MonotonicityNot monotonic
2024-04-06T18:04:16.766198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 823
34.1%
1 127
 
5.3%
2 63
 
2.6%
5 54
 
2.2%
4 52
 
2.2%
3 37
 
1.5%
7 36
 
1.5%
8 33
 
1.4%
6 30
 
1.2%
14 26
 
1.1%
Other values (393) 951
39.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 823
34.1%
1 127
 
5.3%
2 63
 
2.6%
3 37
 
1.5%
4 52
 
2.2%
5 54
 
2.2%
6 30
 
1.2%
7 36
 
1.5%
8 33
 
1.4%
9 24
 
1.0%
ValueCountFrequency (%)
66418 1
< 0.1%
27072 1
< 0.1%
18593 1
< 0.1%
12684 1
< 0.1%
10916 1
< 0.1%
8206 1
< 0.1%
7949 1
< 0.1%
7818 1
< 0.1%
7621 1
< 0.1%
7268 1
< 0.1%

2019-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct387
Distinct (%)17.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean165.68011
Minimum0
Maximum58904
Zeros857
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:16.997820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q339.25
95-th percentile547.45
Maximum58904
Range58904
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation1521.2223
Coefficient of variation (CV)9.1816837
Kurtosis1049.5988
Mean165.68011
Median Absolute Deviation (MAD)3
Skewness29.481358
Sum369798
Variance2314117.4
MonotonicityNot monotonic
2024-04-06T18:04:17.174853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 857
35.5%
1 117
 
4.8%
2 82
 
3.4%
3 67
 
2.8%
4 50
 
2.1%
6 43
 
1.8%
5 42
 
1.7%
8 27
 
1.1%
9 26
 
1.1%
12 21
 
0.9%
Other values (377) 900
37.3%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 857
35.5%
1 117
 
4.8%
2 82
 
3.4%
3 67
 
2.8%
4 50
 
2.1%
5 42
 
1.7%
6 43
 
1.8%
7 20
 
0.8%
8 27
 
1.1%
9 26
 
1.1%
ValueCountFrequency (%)
58904 1
< 0.1%
27092 1
< 0.1%
16360 1
< 0.1%
11572 1
< 0.1%
11092 1
< 0.1%
7383 1
< 0.1%
7348 1
< 0.1%
6861 1
< 0.1%
6689 1
< 0.1%
5957 1
< 0.1%

2019-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct344
Distinct (%)15.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean133.70385
Minimum0
Maximum53723
Zeros883
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:17.348343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q331.25
95-th percentile410.25
Maximum53723
Range53723
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation1322.0476
Coefficient of variation (CV)9.8878795
Kurtosis1235.894
Mean133.70385
Median Absolute Deviation (MAD)3
Skewness32.170506
Sum298427
Variance1747809.8
MonotonicityNot monotonic
2024-04-06T18:04:17.977614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 883
36.5%
1 140
 
5.8%
2 80
 
3.3%
3 79
 
3.3%
4 45
 
1.9%
5 44
 
1.8%
7 33
 
1.4%
6 32
 
1.3%
8 30
 
1.2%
10 19
 
0.8%
Other values (334) 847
35.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 883
36.5%
1 140
 
5.8%
2 80
 
3.3%
3 79
 
3.3%
4 45
 
1.9%
5 44
 
1.8%
6 32
 
1.3%
7 33
 
1.4%
8 30
 
1.2%
9 16
 
0.7%
ValueCountFrequency (%)
53723 1
< 0.1%
18760 1
< 0.1%
12045 1
< 0.1%
11909 1
< 0.1%
9505 1
< 0.1%
6578 1
< 0.1%
5919 1
< 0.1%
5791 1
< 0.1%
5644 1
< 0.1%
4943 1
< 0.1%

2019-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct359
Distinct (%)16.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean162.11066
Minimum0
Maximum66192
Zeros830
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:18.203163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q342
95-th percentile508.45
Maximum66192
Range66192
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1622.5164
Coefficient of variation (CV)10.008697
Kurtosis1253.2068
Mean162.11066
Median Absolute Deviation (MAD)4
Skewness32.425072
Sum361831
Variance2632559.6
MonotonicityNot monotonic
2024-04-06T18:04:18.460855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 830
34.4%
1 115
 
4.8%
2 91
 
3.8%
3 74
 
3.1%
4 58
 
2.4%
5 38
 
1.6%
7 37
 
1.5%
6 33
 
1.4%
10 24
 
1.0%
11 24
 
1.0%
Other values (349) 908
37.6%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 830
34.4%
1 115
 
4.8%
2 91
 
3.8%
3 74
 
3.1%
4 58
 
2.4%
5 38
 
1.6%
6 33
 
1.4%
7 37
 
1.5%
8 21
 
0.9%
9 18
 
0.7%
ValueCountFrequency (%)
66192 1
< 0.1%
22045 1
< 0.1%
16822 1
< 0.1%
12088 1
< 0.1%
11846 1
< 0.1%
8527 1
< 0.1%
7910 1
< 0.1%
7767 1
< 0.1%
6885 1
< 0.1%
5682 1
< 0.1%

2019-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct383
Distinct (%)17.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean186.21685
Minimum0
Maximum72299
Zeros839
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:18.696613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile543.9
Maximum72299
Range72299
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1816.6131
Coefficient of variation (CV)9.7553639
Kurtosis1148.7487
Mean186.21685
Median Absolute Deviation (MAD)3
Skewness30.844444
Sum415636
Variance3300083.1
MonotonicityNot monotonic
2024-04-06T18:04:18.957261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 839
34.7%
1 129
 
5.3%
2 91
 
3.8%
3 63
 
2.6%
4 50
 
2.1%
5 36
 
1.5%
8 31
 
1.3%
6 29
 
1.2%
10 24
 
1.0%
7 23
 
1.0%
Other values (373) 917
38.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 839
34.7%
1 129
 
5.3%
2 91
 
3.8%
3 63
 
2.6%
4 50
 
2.1%
5 36
 
1.5%
6 29
 
1.2%
7 23
 
1.0%
8 31
 
1.3%
9 23
 
1.0%
ValueCountFrequency (%)
72299 1
< 0.1%
29289 1
< 0.1%
15197 1
< 0.1%
15024 1
< 0.1%
11347 1
< 0.1%
9861 1
< 0.1%
9169 1
< 0.1%
8280 1
< 0.1%
7873 1
< 0.1%
7470 1
< 0.1%

2019-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct388
Distinct (%)17.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean170.45654
Minimum0
Maximum63544
Zeros813
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:19.183979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q345
95-th percentile536.15
Maximum63544
Range63544
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1598.3934
Coefficient of variation (CV)9.3771312
Kurtosis1139.9881
Mean170.45654
Median Absolute Deviation (MAD)3
Skewness30.696333
Sum380459
Variance2554861.3
MonotonicityNot monotonic
2024-04-06T18:04:19.418137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 813
33.7%
1 132
 
5.5%
2 106
 
4.4%
3 71
 
2.9%
5 45
 
1.9%
4 39
 
1.6%
6 34
 
1.4%
10 31
 
1.3%
11 26
 
1.1%
12 24
 
1.0%
Other values (378) 911
37.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 813
33.7%
1 132
 
5.5%
2 106
 
4.4%
3 71
 
2.9%
4 39
 
1.6%
5 45
 
1.9%
6 34
 
1.4%
7 22
 
0.9%
8 24
 
1.0%
9 22
 
0.9%
ValueCountFrequency (%)
63544 1
< 0.1%
23516 1
< 0.1%
18821 1
< 0.1%
11466 1
< 0.1%
11407 1
< 0.1%
9686 1
< 0.1%
7174 1
< 0.1%
7054 1
< 0.1%
6899 1
< 0.1%
6582 1
< 0.1%

2019-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct348
Distinct (%)15.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean136.02778
Minimum0
Maximum52793
Zeros840
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:19.668536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q335
95-th percentile428
Maximum52793
Range52793
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1306.1232
Coefficient of variation (CV)9.6018861
Kurtosis1209.2995
Mean136.02778
Median Absolute Deviation (MAD)3
Skewness31.675315
Sum303614
Variance1705957.9
MonotonicityNot monotonic
2024-04-06T18:04:19.928276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 840
34.8%
1 161
 
6.7%
2 77
 
3.2%
3 61
 
2.5%
5 51
 
2.1%
4 50
 
2.1%
6 39
 
1.6%
9 30
 
1.2%
10 27
 
1.1%
7 27
 
1.1%
Other values (338) 869
36.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 840
34.8%
1 161
 
6.7%
2 77
 
3.2%
3 61
 
2.5%
4 50
 
2.1%
5 51
 
2.1%
6 39
 
1.6%
7 27
 
1.1%
8 23
 
1.0%
9 30
 
1.2%
ValueCountFrequency (%)
52793 1
< 0.1%
18550 1
< 0.1%
12377 1
< 0.1%
10296 1
< 0.1%
8576 1
< 0.1%
6900 1
< 0.1%
6369 1
< 0.1%
6011 1
< 0.1%
5897 1
< 0.1%
5852 1
< 0.1%

2019-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct359
Distinct (%)16.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean139.35125
Minimum0
Maximum51385
Zeros855
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:20.185979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q342
95-th percentile413.25
Maximum51385
Range51385
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1305.0799
Coefficient of variation (CV)9.3653976
Kurtosis1106.4322
Mean139.35125
Median Absolute Deviation (MAD)4
Skewness30.300481
Sum311032
Variance1703233.6
MonotonicityNot monotonic
2024-04-06T18:04:20.427729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 855
35.4%
1 116
 
4.8%
2 84
 
3.5%
3 58
 
2.4%
4 57
 
2.4%
5 44
 
1.8%
6 38
 
1.6%
7 37
 
1.5%
9 30
 
1.2%
8 25
 
1.0%
Other values (349) 888
36.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 855
35.4%
1 116
 
4.8%
2 84
 
3.5%
3 58
 
2.4%
4 57
 
2.4%
5 44
 
1.8%
6 38
 
1.6%
7 37
 
1.5%
8 25
 
1.0%
9 30
 
1.2%
ValueCountFrequency (%)
51385 1
< 0.1%
20702 1
< 0.1%
16155 1
< 0.1%
10101 1
< 0.1%
7203 1
< 0.1%
7026 1
< 0.1%
6669 1
< 0.1%
5834 1
< 0.1%
5559 1
< 0.1%
5224 1
< 0.1%

2019-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct347
Distinct (%)15.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean128.09857
Minimum0
Maximum48147
Zeros866
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:20.651126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q339
95-th percentile378
Maximum48147
Range48147
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1217.9128
Coefficient of variation (CV)9.5076222
Kurtosis1125.7346
Mean128.09857
Median Absolute Deviation (MAD)3
Skewness30.631375
Sum285916
Variance1483311.5
MonotonicityNot monotonic
2024-04-06T18:04:20.875543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 866
35.8%
1 141
 
5.8%
2 65
 
2.7%
4 61
 
2.5%
3 53
 
2.2%
5 48
 
2.0%
6 37
 
1.5%
7 33
 
1.4%
11 29
 
1.2%
16 20
 
0.8%
Other values (337) 879
36.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 866
35.8%
1 141
 
5.8%
2 65
 
2.7%
3 53
 
2.2%
4 61
 
2.5%
5 48
 
2.0%
6 37
 
1.5%
7 33
 
1.4%
8 19
 
0.8%
9 19
 
0.8%
ValueCountFrequency (%)
48147 1
< 0.1%
20405 1
< 0.1%
12437 1
< 0.1%
9049 1
< 0.1%
8290 1
< 0.1%
6785 1
< 0.1%
5975 1
< 0.1%
5666 1
< 0.1%
5601 1
< 0.1%
4777 1
< 0.1%

2019-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct336
Distinct (%)15.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean113.63396
Minimum0
Maximum43095
Zeros899
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:21.097470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q331
95-th percentile335.45
Maximum43095
Range43095
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1090.1826
Coefficient of variation (CV)9.5938096
Kurtosis1125.3606
Mean113.63396
Median Absolute Deviation (MAD)2
Skewness30.622049
Sum253631
Variance1188498.1
MonotonicityNot monotonic
2024-04-06T18:04:21.330202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
37.2%
1 144
 
6.0%
2 78
 
3.2%
4 63
 
2.6%
3 49
 
2.0%
5 45
 
1.9%
7 37
 
1.5%
9 28
 
1.2%
10 27
 
1.1%
6 26
 
1.1%
Other values (326) 836
34.6%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 899
37.2%
1 144
 
6.0%
2 78
 
3.2%
3 49
 
2.0%
4 63
 
2.6%
5 45
 
1.9%
6 26
 
1.1%
7 37
 
1.5%
8 24
 
1.0%
9 28
 
1.2%
ValueCountFrequency (%)
43095 1
< 0.1%
18281 1
< 0.1%
10492 1
< 0.1%
8337 1
< 0.1%
7554 1
< 0.1%
7478 1
< 0.1%
5496 1
< 0.1%
5005 1
< 0.1%
4503 1
< 0.1%
3841 1
< 0.1%

2019-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct349
Distinct (%)15.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean141.41084
Minimum0
Maximum54044
Zeros860
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:21.544531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q339
95-th percentile456
Maximum54044
Range54044
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1369.7788
Coefficient of variation (CV)9.6865189
Kurtosis1115.1038
Mean141.41084
Median Absolute Deviation (MAD)3
Skewness30.446267
Sum315629
Variance1876294
MonotonicityNot monotonic
2024-04-06T18:04:21.756792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 860
35.6%
1 121
 
5.0%
2 80
 
3.3%
3 74
 
3.1%
4 48
 
2.0%
6 37
 
1.5%
5 35
 
1.4%
7 30
 
1.2%
11 23
 
1.0%
10 23
 
1.0%
Other values (339) 901
37.3%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 860
35.6%
1 121
 
5.0%
2 80
 
3.3%
3 74
 
3.1%
4 48
 
2.0%
5 35
 
1.4%
6 37
 
1.5%
7 30
 
1.2%
8 23
 
1.0%
9 18
 
0.7%
ValueCountFrequency (%)
54044 1
< 0.1%
22214 1
< 0.1%
13535 1
< 0.1%
12870 1
< 0.1%
10750 1
< 0.1%
7841 1
< 0.1%
6014 1
< 0.1%
5817 1
< 0.1%
5296 1
< 0.1%
4973 1
< 0.1%

2019-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct369
Distinct (%)16.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean145.65636
Minimum0
Maximum52919
Zeros857
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:21.938256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q342.25
95-th percentile436.35
Maximum52919
Range52919
Interquartile range (IQR)42.25

Descriptive statistics

Standard deviation1365.0734
Coefficient of variation (CV)9.3718763
Kurtosis1054.4167
Mean145.65636
Median Absolute Deviation (MAD)4
Skewness29.588739
Sum325105
Variance1863425.4
MonotonicityNot monotonic
2024-04-06T18:04:22.178854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 857
35.5%
1 114
 
4.7%
2 82
 
3.4%
3 62
 
2.6%
4 51
 
2.1%
5 46
 
1.9%
10 36
 
1.5%
7 31
 
1.3%
6 29
 
1.2%
11 28
 
1.2%
Other values (359) 896
37.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 857
35.5%
1 114
 
4.7%
2 82
 
3.4%
3 62
 
2.6%
4 51
 
2.1%
5 46
 
1.9%
6 29
 
1.2%
7 31
 
1.3%
8 25
 
1.0%
9 15
 
0.6%
ValueCountFrequency (%)
52919 1
< 0.1%
24299 1
< 0.1%
13987 1
< 0.1%
11767 1
< 0.1%
9380 1
< 0.1%
8359 1
< 0.1%
7628 1
< 0.1%
5502 1
< 0.1%
5344 1
< 0.1%
5113 1
< 0.1%

2019-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct399
Distinct (%)17.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean175.08289
Minimum0
Maximum66691
Zeros832
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:22.415978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q355.25
95-th percentile554
Maximum66691
Range66691
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation1678.2667
Coefficient of variation (CV)9.5855555
Kurtosis1143.7916
Mean175.08289
Median Absolute Deviation (MAD)4
Skewness30.876242
Sum390785
Variance2816579.1
MonotonicityNot monotonic
2024-04-06T18:04:22.645643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 832
34.4%
1 121
 
5.0%
2 74
 
3.1%
3 65
 
2.7%
4 51
 
2.1%
5 46
 
1.9%
6 32
 
1.3%
10 30
 
1.2%
7 26
 
1.1%
8 23
 
1.0%
Other values (389) 932
38.6%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 832
34.4%
1 121
 
5.0%
2 74
 
3.1%
3 65
 
2.7%
4 51
 
2.1%
5 46
 
1.9%
6 32
 
1.3%
7 26
 
1.1%
8 23
 
1.0%
9 18
 
0.7%
ValueCountFrequency (%)
66691 1
< 0.1%
26793 1
< 0.1%
17801 1
< 0.1%
13669 1
< 0.1%
11093 1
< 0.1%
9113 1
< 0.1%
8402 1
< 0.1%
8233 1
< 0.1%
7519 1
< 0.1%
6057 1
< 0.1%

2020-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)16.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean133.95968
Minimum0
Maximum46086
Zeros866
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:22.882500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile426.25
Maximum46086
Range46086
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1223.1064
Coefficient of variation (CV)9.1304072
Kurtosis963.52507
Mean133.95968
Median Absolute Deviation (MAD)3
Skewness28.293915
Sum298998
Variance1495989.3
MonotonicityNot monotonic
2024-04-06T18:04:23.114233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 866
35.8%
1 123
 
5.1%
2 81
 
3.4%
3 63
 
2.6%
4 54
 
2.2%
5 47
 
1.9%
6 36
 
1.5%
7 28
 
1.2%
8 27
 
1.1%
11 23
 
1.0%
Other values (355) 884
36.6%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 866
35.8%
1 123
 
5.1%
2 81
 
3.4%
3 63
 
2.6%
4 54
 
2.2%
5 47
 
1.9%
6 36
 
1.5%
7 28
 
1.2%
8 27
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
46086 1
< 0.1%
23203 1
< 0.1%
15106 1
< 0.1%
9293 1
< 0.1%
8845 1
< 0.1%
8320 1
< 0.1%
5612 1
< 0.1%
5416 1
< 0.1%
4872 1
< 0.1%
4638 1
< 0.1%

2020-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct374
Distinct (%)16.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean165.38934
Minimum0
Maximum60747
Zeros832
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:23.337119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q344
95-th percentile486
Maximum60747
Range60747
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1575.431
Coefficient of variation (CV)9.5255899
Kurtosis1027.8421
Mean165.38934
Median Absolute Deviation (MAD)4
Skewness29.116671
Sum369149
Variance2481982.8
MonotonicityNot monotonic
2024-04-06T18:04:23.577772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 832
34.4%
1 124
 
5.1%
2 89
 
3.7%
3 68
 
2.8%
4 60
 
2.5%
5 37
 
1.5%
7 35
 
1.4%
6 31
 
1.3%
8 30
 
1.2%
9 27
 
1.1%
Other values (364) 899
37.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 832
34.4%
1 124
 
5.1%
2 89
 
3.7%
3 68
 
2.8%
4 60
 
2.5%
5 37
 
1.5%
6 31
 
1.3%
7 35
 
1.4%
8 30
 
1.2%
9 27
 
1.1%
ValueCountFrequency (%)
60747 1
< 0.1%
25116 1
< 0.1%
21540 1
< 0.1%
13498 1
< 0.1%
11385 1
< 0.1%
9204 1
< 0.1%
7805 1
< 0.1%
6863 1
< 0.1%
6120 1
< 0.1%
4714 1
< 0.1%

2020-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct393
Distinct (%)17.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean165.30197
Minimum0
Maximum63825
Zeros805
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:23.841785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q345
95-th percentile492.45
Maximum63825
Range63825
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1584.8904
Coefficient of variation (CV)9.5878496
Kurtosis1195.734
Mean165.30197
Median Absolute Deviation (MAD)4
Skewness31.559343
Sum368954
Variance2511877.7
MonotonicityNot monotonic
2024-04-06T18:04:24.087618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 805
33.3%
1 121
 
5.0%
2 78
 
3.2%
3 71
 
2.9%
4 49
 
2.0%
5 47
 
1.9%
6 39
 
1.6%
8 33
 
1.4%
9 28
 
1.2%
12 24
 
1.0%
Other values (383) 937
38.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 805
33.3%
1 121
 
5.0%
2 78
 
3.2%
3 71
 
2.9%
4 49
 
2.0%
5 47
 
1.9%
6 39
 
1.6%
7 19
 
0.8%
8 33
 
1.4%
9 28
 
1.2%
ValueCountFrequency (%)
63825 1
< 0.1%
23053 1
< 0.1%
17389 1
< 0.1%
11917 1
< 0.1%
9318 1
< 0.1%
8556 1
< 0.1%
7376 1
< 0.1%
7146 1
< 0.1%
6750 1
< 0.1%
6716 1
< 0.1%

2020-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct376
Distinct (%)16.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean159.45251
Minimum0
Maximum51526
Zeros844
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:24.341679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q338
95-th percentile426.9
Maximum51526
Range51526
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1535.0737
Coefficient of variation (CV)9.6271527
Kurtosis715.87111
Mean159.45251
Median Absolute Deviation (MAD)4
Skewness24.698026
Sum355898
Variance2356451.1
MonotonicityNot monotonic
2024-04-06T18:04:24.990327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 844
34.9%
1 129
 
5.3%
2 73
 
3.0%
3 67
 
2.8%
4 53
 
2.2%
7 39
 
1.6%
6 38
 
1.6%
5 38
 
1.6%
9 27
 
1.1%
8 25
 
1.0%
Other values (366) 899
37.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 844
34.9%
1 129
 
5.3%
2 73
 
3.0%
3 67
 
2.8%
4 53
 
2.2%
5 38
 
1.6%
6 38
 
1.6%
7 39
 
1.6%
8 25
 
1.0%
9 27
 
1.1%
ValueCountFrequency (%)
51526 1
< 0.1%
35736 1
< 0.1%
21371 1
< 0.1%
15940 1
< 0.1%
13835 1
< 0.1%
9210 1
< 0.1%
8889 1
< 0.1%
6504 1
< 0.1%
6466 1
< 0.1%
6325 1
< 0.1%

2020-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct373
Distinct (%)16.7%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean153.11066
Minimum0
Maximum59376
Zeros830
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:25.222052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q342
95-th percentile473.35
Maximum59376
Range59376
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1483.0028
Coefficient of variation (CV)9.6858232
Kurtosis1171.9151
Mean153.11066
Median Absolute Deviation (MAD)3
Skewness31.232425
Sum341743
Variance2199297.3
MonotonicityNot monotonic
2024-04-06T18:04:25.476250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 830
34.4%
1 150
 
6.2%
2 90
 
3.7%
3 57
 
2.4%
4 56
 
2.3%
5 45
 
1.9%
7 38
 
1.6%
6 32
 
1.3%
10 27
 
1.1%
8 24
 
1.0%
Other values (363) 883
36.5%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 830
34.4%
1 150
 
6.2%
2 90
 
3.7%
3 57
 
2.4%
4 56
 
2.3%
5 45
 
1.9%
6 32
 
1.3%
7 38
 
1.6%
8 24
 
1.0%
9 24
 
1.0%
ValueCountFrequency (%)
59376 1
< 0.1%
22261 1
< 0.1%
16120 1
< 0.1%
11881 1
< 0.1%
9327 1
< 0.1%
7968 1
< 0.1%
7469 1
< 0.1%
6991 1
< 0.1%
6622 1
< 0.1%
6207 1
< 0.1%

2020-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)17.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean186.48073
Minimum0
Maximum71090
Zeros828
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:25.723805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q351.25
95-th percentile466.45
Maximum71090
Range71090
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation1839.0976
Coefficient of variation (CV)9.862132
Kurtosis1036.4886
Mean186.48073
Median Absolute Deviation (MAD)4
Skewness29.295999
Sum416225
Variance3382280.1
MonotonicityNot monotonic
2024-04-06T18:04:25.948638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 828
34.3%
1 123
 
5.1%
2 77
 
3.2%
4 55
 
2.3%
3 54
 
2.2%
5 38
 
1.6%
6 37
 
1.5%
8 27
 
1.1%
12 24
 
1.0%
16 22
 
0.9%
Other values (375) 947
39.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 828
34.3%
1 123
 
5.1%
2 77
 
3.2%
3 54
 
2.2%
4 55
 
2.3%
5 38
 
1.6%
6 37
 
1.5%
7 22
 
0.9%
8 27
 
1.1%
9 17
 
0.7%
ValueCountFrequency (%)
71090 1
< 0.1%
27845 1
< 0.1%
24339 1
< 0.1%
22047 1
< 0.1%
10205 1
< 0.1%
9331 1
< 0.1%
8278 1
< 0.1%
7525 1
< 0.1%
6997 1
< 0.1%
6738 1
< 0.1%

2020-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct383
Distinct (%)17.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean162.08199
Minimum0
Maximum54736
Zeros800
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:26.201604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q355
95-th percentile467
Maximum54736
Range54736
Interquartile range (IQR)55

Descriptive statistics

Standard deviation1465.0713
Coefficient of variation (CV)9.0390752
Kurtosis948.98176
Mean162.08199
Median Absolute Deviation (MAD)5
Skewness28.171202
Sum361767
Variance2146433.9
MonotonicityNot monotonic
2024-04-06T18:04:26.457657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 800
33.1%
1 140
 
5.8%
3 64
 
2.6%
2 57
 
2.4%
4 52
 
2.2%
6 39
 
1.6%
8 31
 
1.3%
5 31
 
1.3%
7 29
 
1.2%
13 26
 
1.1%
Other values (373) 963
39.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 800
33.1%
1 140
 
5.8%
2 57
 
2.4%
3 64
 
2.6%
4 52
 
2.2%
5 31
 
1.3%
6 39
 
1.6%
7 29
 
1.2%
8 31
 
1.3%
9 21
 
0.9%
ValueCountFrequency (%)
54736 1
< 0.1%
29889 1
< 0.1%
16474 1
< 0.1%
10684 1
< 0.1%
10214 1
< 0.1%
8823 1
< 0.1%
8337 1
< 0.1%
6111 1
< 0.1%
5741 1
< 0.1%
4618 1
< 0.1%

2020-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct358
Distinct (%)16.0%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean129.66935
Minimum0
Maximum47069
Zeros850
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:26.689667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340
95-th percentile399.8
Maximum47069
Range47069
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1219.8711
Coefficient of variation (CV)9.4075516
Kurtosis1040.6416
Mean129.66935
Median Absolute Deviation (MAD)4
Skewness29.473474
Sum289422
Variance1488085.6
MonotonicityNot monotonic
2024-04-06T18:04:26.901752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 850
35.2%
1 113
 
4.7%
2 69
 
2.9%
3 61
 
2.5%
4 54
 
2.2%
5 48
 
2.0%
6 45
 
1.9%
10 34
 
1.4%
7 31
 
1.3%
11 29
 
1.2%
Other values (348) 898
37.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 850
35.2%
1 113
 
4.7%
2 69
 
2.9%
3 61
 
2.5%
4 54
 
2.2%
5 48
 
2.0%
6 45
 
1.9%
7 31
 
1.3%
8 21
 
0.9%
9 21
 
0.9%
ValueCountFrequency (%)
47069 1
< 0.1%
21907 1
< 0.1%
14523 1
< 0.1%
9872 1
< 0.1%
9185 1
< 0.1%
6255 1
< 0.1%
5632 1
< 0.1%
4913 1
< 0.1%
4455 1
< 0.1%
4112 1
< 0.1%

2020-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct360
Distinct (%)16.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean177.68817
Minimum0
Maximum52458
Zeros843
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:27.096271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340.25
95-th percentile417.45
Maximum52458
Range52458
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation1662.7969
Coefficient of variation (CV)9.3579493
Kurtosis542.9404
Mean177.68817
Median Absolute Deviation (MAD)3
Skewness21.217635
Sum396600
Variance2764893.6
MonotonicityNot monotonic
2024-04-06T18:04:27.325372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 843
34.9%
1 123
 
5.1%
2 99
 
4.1%
3 60
 
2.5%
5 44
 
1.8%
4 39
 
1.6%
7 39
 
1.6%
8 35
 
1.4%
6 30
 
1.2%
10 28
 
1.2%
Other values (350) 892
36.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 843
34.9%
1 123
 
5.1%
2 99
 
4.1%
3 60
 
2.5%
4 39
 
1.6%
5 44
 
1.8%
6 30
 
1.2%
7 39
 
1.6%
8 35
 
1.4%
9 15
 
0.6%
ValueCountFrequency (%)
52458 1
< 0.1%
28466 1
< 0.1%
25718 1
< 0.1%
25370 1
< 0.1%
22000 1
< 0.1%
17152 1
< 0.1%
12037 1
< 0.1%
10225 1
< 0.1%
7321 1
< 0.1%
6916 1
< 0.1%

2020-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct351
Distinct (%)15.7%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean147.07348
Minimum0
Maximum53816
Zeros849
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:27.542478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340.25
95-th percentile382.35
Maximum53816
Range53816
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation1409.7384
Coefficient of variation (CV)9.5852658
Kurtosis1006.2781
Mean147.07348
Median Absolute Deviation (MAD)4
Skewness28.905395
Sum328268
Variance1987362.3
MonotonicityNot monotonic
2024-04-06T18:04:27.729054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 849
35.1%
1 109
 
4.5%
2 95
 
3.9%
3 55
 
2.3%
4 54
 
2.2%
6 42
 
1.7%
5 40
 
1.7%
7 29
 
1.2%
10 29
 
1.2%
9 26
 
1.1%
Other values (341) 904
37.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 849
35.1%
1 109
 
4.5%
2 95
 
3.9%
3 55
 
2.3%
4 54
 
2.2%
5 40
 
1.7%
6 42
 
1.7%
7 29
 
1.2%
8 20
 
0.8%
9 26
 
1.1%
ValueCountFrequency (%)
53816 1
< 0.1%
26604 1
< 0.1%
14433 1
< 0.1%
12700 1
< 0.1%
8254 1
< 0.1%
8150 1
< 0.1%
7911 1
< 0.1%
6067 1
< 0.1%
5587 1
< 0.1%
5196 1
< 0.1%

2020-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct386
Distinct (%)17.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean165.97133
Minimum0
Maximum62541
Zeros817
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:27.938911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q349
95-th percentile535.25
Maximum62541
Range62541
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1590.5396
Coefficient of variation (CV)9.5832192
Kurtosis1104.8907
Mean165.97133
Median Absolute Deviation (MAD)4
Skewness30.374748
Sum370448
Variance2529816.2
MonotonicityNot monotonic
2024-04-06T18:04:28.190726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 817
33.8%
1 119
 
4.9%
2 73
 
3.0%
4 63
 
2.6%
3 54
 
2.2%
5 50
 
2.1%
6 36
 
1.5%
8 32
 
1.3%
7 24
 
1.0%
9 23
 
1.0%
Other values (376) 941
38.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 817
33.8%
1 119
 
4.9%
2 73
 
3.0%
3 54
 
2.2%
4 63
 
2.6%
5 50
 
2.1%
6 36
 
1.5%
7 24
 
1.0%
8 32
 
1.3%
9 23
 
1.0%
ValueCountFrequency (%)
62541 1
< 0.1%
26396 1
< 0.1%
17657 1
< 0.1%
14611 1
< 0.1%
11802 1
< 0.1%
7695 1
< 0.1%
7193 1
< 0.1%
6465 1
< 0.1%
5855 1
< 0.1%
5748 1
< 0.1%

2020-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct419
Distinct (%)18.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean213.41129
Minimum0
Maximum75244
Zeros789
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:28.403828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q367
95-th percentile656.25
Maximum75244
Range75244
Interquartile range (IQR)67

Descriptive statistics

Standard deviation1975.7547
Coefficient of variation (CV)9.2579669
Kurtosis998.88626
Mean213.41129
Median Absolute Deviation (MAD)6
Skewness28.878717
Sum476334
Variance3903606.5
MonotonicityNot monotonic
2024-04-06T18:04:28.646075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 789
32.7%
1 106
 
4.4%
2 74
 
3.1%
3 61
 
2.5%
5 46
 
1.9%
6 32
 
1.3%
4 32
 
1.3%
9 31
 
1.3%
11 25
 
1.0%
8 24
 
1.0%
Other values (409) 1012
41.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 789
32.7%
1 106
 
4.4%
2 74
 
3.1%
3 61
 
2.5%
4 32
 
1.3%
5 46
 
1.9%
6 32
 
1.3%
7 23
 
1.0%
8 24
 
1.0%
9 31
 
1.3%
ValueCountFrequency (%)
75244 1
< 0.1%
36797 1
< 0.1%
24635 1
< 0.1%
16482 1
< 0.1%
12910 1
< 0.1%
10018 1
< 0.1%
9559 1
< 0.1%
9520 1
< 0.1%
8311 1
< 0.1%
6492 1
< 0.1%

2021-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct375
Distinct (%)16.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean150.58602
Minimum0
Maximum49855
Zeros836
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:28.894445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346
95-th percentile467.7
Maximum49855
Range49855
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1338.275
Coefficient of variation (CV)8.8871133
Kurtosis935.19434
Mean150.58602
Median Absolute Deviation (MAD)4
Skewness27.91665
Sum336108
Variance1790980
MonotonicityNot monotonic
2024-04-06T18:04:29.138144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 836
34.6%
1 118
 
4.9%
2 74
 
3.1%
3 56
 
2.3%
4 51
 
2.1%
6 42
 
1.7%
5 40
 
1.7%
7 27
 
1.1%
8 26
 
1.1%
9 25
 
1.0%
Other values (365) 937
38.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 836
34.6%
1 118
 
4.9%
2 74
 
3.1%
3 56
 
2.3%
4 51
 
2.1%
5 40
 
1.7%
6 42
 
1.7%
7 27
 
1.1%
8 26
 
1.1%
9 25
 
1.0%
ValueCountFrequency (%)
49855 1
< 0.1%
26612 1
< 0.1%
16877 1
< 0.1%
9935 1
< 0.1%
8728 1
< 0.1%
8170 1
< 0.1%
6254 1
< 0.1%
6212 1
< 0.1%
5445 1
< 0.1%
4771 1
< 0.1%

2021-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct364
Distinct (%)16.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean149.23118
Minimum0
Maximum55405
Zeros854
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:29.361929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q344
95-th percentile440
Maximum55405
Range55405
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1412.8218
Coefficient of variation (CV)9.4673364
Kurtosis1095.6001
Mean149.23118
Median Absolute Deviation (MAD)4
Skewness30.204279
Sum333084
Variance1996065.4
MonotonicityNot monotonic
2024-04-06T18:04:29.606349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 854
35.3%
1 115
 
4.8%
2 75
 
3.1%
3 50
 
2.1%
4 50
 
2.1%
5 36
 
1.5%
8 33
 
1.4%
7 30
 
1.2%
9 25
 
1.0%
6 25
 
1.0%
Other values (354) 939
38.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 854
35.3%
1 115
 
4.8%
2 75
 
3.1%
3 50
 
2.1%
4 50
 
2.1%
5 36
 
1.5%
6 25
 
1.0%
7 30
 
1.2%
8 33
 
1.4%
9 25
 
1.0%
ValueCountFrequency (%)
55405 1
< 0.1%
23997 1
< 0.1%
16304 1
< 0.1%
9949 1
< 0.1%
8943 1
< 0.1%
7702 1
< 0.1%
6523 1
< 0.1%
6455 1
< 0.1%
6288 1
< 0.1%
5892 1
< 0.1%

2021-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct430
Distinct (%)19.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean222.21953
Minimum0
Maximum87894
Zeros796
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:29.917789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q358
95-th percentile686.15
Maximum87894
Range87894
Interquartile range (IQR)58

Descriptive statistics

Standard deviation2178.7074
Coefficient of variation (CV)9.8043018
Kurtosis1204.1323
Mean222.21953
Median Absolute Deviation (MAD)5.5
Skewness31.733637
Sum495994
Variance4746765.9
MonotonicityNot monotonic
2024-04-06T18:04:30.229758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 796
32.9%
1 109
 
4.5%
2 78
 
3.2%
3 60
 
2.5%
5 40
 
1.7%
7 38
 
1.6%
4 33
 
1.4%
6 33
 
1.4%
13 29
 
1.2%
9 28
 
1.2%
Other values (420) 988
40.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 796
32.9%
1 109
 
4.5%
2 78
 
3.2%
3 60
 
2.5%
4 33
 
1.4%
5 40
 
1.7%
6 33
 
1.4%
7 38
 
1.6%
8 24
 
1.0%
9 28
 
1.2%
ValueCountFrequency (%)
87894 1
< 0.1%
31143 1
< 0.1%
23415 1
< 0.1%
19943 1
< 0.1%
14359 1
< 0.1%
11497 1
< 0.1%
9528 1
< 0.1%
8520 1
< 0.1%
8359 1
< 0.1%
7552 1
< 0.1%

2021-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct411
Distinct (%)18.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean206.85753
Minimum0
Maximum77675
Zeros785
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:30.478377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q359
95-th percentile642
Maximum77675
Range77675
Interquartile range (IQR)59

Descriptive statistics

Standard deviation1964.2134
Coefficient of variation (CV)9.4954891
Kurtosis1121.894
Mean206.85753
Median Absolute Deviation (MAD)6
Skewness30.498035
Sum461706
Variance3858134.2
MonotonicityNot monotonic
2024-04-06T18:04:30.741620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 785
32.5%
1 97
 
4.0%
2 86
 
3.6%
3 55
 
2.3%
4 48
 
2.0%
6 39
 
1.6%
7 36
 
1.5%
5 27
 
1.1%
8 26
 
1.1%
13 24
 
1.0%
Other values (401) 1009
41.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 785
32.5%
1 97
 
4.0%
2 86
 
3.6%
3 55
 
2.3%
4 48
 
2.0%
5 27
 
1.1%
6 39
 
1.6%
7 36
 
1.5%
8 26
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
77675 1
< 0.1%
30868 1
< 0.1%
21447 1
< 0.1%
16049 1
< 0.1%
15833 1
< 0.1%
9434 1
< 0.1%
8755 1
< 0.1%
8697 1
< 0.1%
8063 1
< 0.1%
7690 1
< 0.1%

2021-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct409
Distinct (%)18.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean192.47581
Minimum0
Maximum62052
Zeros801
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:31.003604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q354.5
95-th percentile518.45
Maximum62052
Range62052
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation1698.7149
Coefficient of variation (CV)8.8256021
Kurtosis871.49184
Mean192.47581
Median Absolute Deviation (MAD)5
Skewness26.858419
Sum429606
Variance2885632.3
MonotonicityNot monotonic
2024-04-06T18:04:31.273562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 801
33.2%
1 121
 
5.0%
2 60
 
2.5%
3 58
 
2.4%
5 46
 
1.9%
4 46
 
1.9%
6 34
 
1.4%
10 33
 
1.4%
8 31
 
1.3%
7 30
 
1.2%
Other values (399) 972
40.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 801
33.2%
1 121
 
5.0%
2 60
 
2.5%
3 58
 
2.4%
4 46
 
1.9%
5 46
 
1.9%
6 34
 
1.4%
7 30
 
1.2%
8 31
 
1.3%
9 26
 
1.1%
ValueCountFrequency (%)
62052 1
< 0.1%
30992 1
< 0.1%
28160 1
< 0.1%
11241 1
< 0.1%
10546 1
< 0.1%
9276 1
< 0.1%
7503 1
< 0.1%
7315 1
< 0.1%
6847 1
< 0.1%
6786 1
< 0.1%

2021-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct400
Distinct (%)17.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean182.78719
Minimum0
Maximum65803
Zeros808
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:31.604980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q351
95-th percentile541.9
Maximum65803
Range65803
Interquartile range (IQR)51

Descriptive statistics

Standard deviation1682.483
Coefficient of variation (CV)9.2046005
Kurtosis1081.2533
Mean182.78719
Median Absolute Deviation (MAD)5
Skewness29.881857
Sum407981
Variance2830749.1
MonotonicityNot monotonic
2024-04-06T18:04:32.450445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 808
33.4%
1 97
 
4.0%
2 86
 
3.6%
3 57
 
2.4%
6 41
 
1.7%
4 40
 
1.7%
5 37
 
1.5%
7 28
 
1.2%
8 28
 
1.2%
11 27
 
1.1%
Other values (390) 983
40.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 808
33.4%
1 97
 
4.0%
2 86
 
3.6%
3 57
 
2.4%
4 40
 
1.7%
5 37
 
1.5%
6 41
 
1.7%
7 28
 
1.2%
8 28
 
1.2%
9 27
 
1.1%
ValueCountFrequency (%)
65803 1
< 0.1%
28104 1
< 0.1%
18641 1
< 0.1%
13839 1
< 0.1%
10323 1
< 0.1%
9859 1
< 0.1%
7601 1
< 0.1%
6440 1
< 0.1%
6328 1
< 0.1%
5892 1
< 0.1%

2021-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct378
Distinct (%)16.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean155.56228
Minimum0
Maximum53370
Zeros842
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:32.796912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346
95-th percentile440.9
Maximum53370
Range53370
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1405.5694
Coefficient of variation (CV)9.0354131
Kurtosis982.47628
Mean155.56228
Median Absolute Deviation (MAD)4
Skewness28.478391
Sum347215
Variance1975625.4
MonotonicityNot monotonic
2024-04-06T18:04:33.057512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 842
34.9%
1 107
 
4.4%
2 69
 
2.9%
3 69
 
2.9%
4 52
 
2.2%
5 44
 
1.8%
7 40
 
1.7%
9 31
 
1.3%
6 29
 
1.2%
11 21
 
0.9%
Other values (368) 928
38.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 842
34.9%
1 107
 
4.4%
2 69
 
2.9%
3 69
 
2.9%
4 52
 
2.2%
5 44
 
1.8%
6 29
 
1.2%
7 40
 
1.7%
8 17
 
0.7%
9 31
 
1.3%
ValueCountFrequency (%)
53370 1
< 0.1%
25246 1
< 0.1%
18673 1
< 0.1%
10525 1
< 0.1%
8163 1
< 0.1%
6949 1
< 0.1%
6849 1
< 0.1%
6211 1
< 0.1%
5732 1
< 0.1%
5453 1
< 0.1%

2021-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct369
Distinct (%)16.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean143.50806
Minimum0
Maximum51380
Zeros838
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:33.310372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q342
95-th percentile431
Maximum51380
Range51380
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1335.4402
Coefficient of variation (CV)9.3056808
Kurtosis1023.8904
Mean143.50806
Median Absolute Deviation (MAD)4
Skewness29.143149
Sum320310
Variance1783400.6
MonotonicityNot monotonic
2024-04-06T18:04:33.563982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 838
34.7%
1 116
 
4.8%
2 73
 
3.0%
3 71
 
2.9%
4 51
 
2.1%
5 41
 
1.7%
7 38
 
1.6%
6 31
 
1.3%
18 26
 
1.1%
10 26
 
1.1%
Other values (359) 921
38.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 838
34.7%
1 116
 
4.8%
2 73
 
3.0%
3 71
 
2.9%
4 51
 
2.1%
5 41
 
1.7%
6 31
 
1.3%
7 38
 
1.6%
8 25
 
1.0%
9 26
 
1.1%
ValueCountFrequency (%)
51380 1
< 0.1%
22129 1
< 0.1%
18265 1
< 0.1%
12395 1
< 0.1%
9008 1
< 0.1%
6254 1
< 0.1%
5952 1
< 0.1%
5496 1
< 0.1%
4933 1
< 0.1%
4862 1
< 0.1%

2021-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct354
Distinct (%)15.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean133.64471
Minimum0
Maximum46898
Zeros878
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:33.810146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q342
95-th percentile375
Maximum46898
Range46898
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1230.2149
Coefficient of variation (CV)9.2051143
Kurtosis996.41662
Mean133.64471
Median Absolute Deviation (MAD)3
Skewness28.770744
Sum298295
Variance1513428.6
MonotonicityNot monotonic
2024-04-06T18:04:34.104265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 878
36.3%
1 116
 
4.8%
2 72
 
3.0%
3 57
 
2.4%
4 50
 
2.1%
5 40
 
1.7%
7 37
 
1.5%
9 33
 
1.4%
8 29
 
1.2%
6 22
 
0.9%
Other values (344) 898
37.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 878
36.3%
1 116
 
4.8%
2 72
 
3.0%
3 57
 
2.4%
4 50
 
2.1%
5 40
 
1.7%
6 22
 
0.9%
7 37
 
1.5%
8 29
 
1.2%
9 33
 
1.4%
ValueCountFrequency (%)
46898 1
< 0.1%
21726 1
< 0.1%
16212 1
< 0.1%
12156 1
< 0.1%
6598 1
< 0.1%
5850 1
< 0.1%
5234 1
< 0.1%
5124 1
< 0.1%
4971 1
< 0.1%
3950 1
< 0.1%

2021-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct357
Distinct (%)16.0%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean137.83154
Minimum0
Maximum50376
Zeros857
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:34.360402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340.25
95-th percentile410.7
Maximum50376
Range50376
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation1303.2158
Coefficient of variation (CV)9.455135
Kurtosis1040.2905
Mean137.83154
Median Absolute Deviation (MAD)4
Skewness29.365385
Sum307640
Variance1698371.5
MonotonicityNot monotonic
2024-04-06T18:04:34.603917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 857
35.5%
1 122
 
5.0%
2 71
 
2.9%
3 65
 
2.7%
5 54
 
2.2%
4 49
 
2.0%
8 33
 
1.4%
7 33
 
1.4%
6 31
 
1.3%
16 23
 
1.0%
Other values (347) 894
37.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 857
35.5%
1 122
 
5.0%
2 71
 
2.9%
3 65
 
2.7%
4 49
 
2.0%
5 54
 
2.2%
6 31
 
1.3%
7 33
 
1.4%
8 33
 
1.4%
9 12
 
0.5%
ValueCountFrequency (%)
50376 1
< 0.1%
21901 1
< 0.1%
16502 1
< 0.1%
11682 1
< 0.1%
9103 1
< 0.1%
6246 1
< 0.1%
6121 1
< 0.1%
5907 1
< 0.1%
5290 1
< 0.1%
4342 1
< 0.1%

2021-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct378
Distinct (%)16.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean154.75134
Minimum0
Maximum57560
Zeros842
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:34.828923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q349
95-th percentile478.35
Maximum57560
Range57560
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1454.3441
Coefficient of variation (CV)9.3979417
Kurtosis1125.0754
Mean154.75134
Median Absolute Deviation (MAD)4
Skewness30.563945
Sum345405
Variance2115116.8
MonotonicityNot monotonic
2024-04-06T18:04:35.092679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 842
34.9%
1 108
 
4.5%
2 84
 
3.5%
3 53
 
2.2%
5 46
 
1.9%
4 42
 
1.7%
8 36
 
1.5%
6 30
 
1.2%
7 29
 
1.2%
10 25
 
1.0%
Other values (368) 937
38.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 842
34.9%
1 108
 
4.5%
2 84
 
3.5%
3 53
 
2.2%
4 42
 
1.7%
5 46
 
1.9%
6 30
 
1.2%
7 29
 
1.2%
8 36
 
1.5%
9 22
 
0.9%
ValueCountFrequency (%)
57560 1
< 0.1%
21802 1
< 0.1%
18723 1
< 0.1%
10555 1
< 0.1%
9223 1
< 0.1%
8670 1
< 0.1%
6833 1
< 0.1%
6763 1
< 0.1%
5590 1
< 0.1%
5497 1
< 0.1%

2021-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct436
Distinct (%)19.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean218.58065
Minimum0
Maximum80861
Zeros834
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:35.331121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q361
95-th percentile693.6
Maximum80861
Range80861
Interquartile range (IQR)61

Descriptive statistics

Standard deviation2067.4268
Coefficient of variation (CV)9.4584167
Kurtosis1082.0951
Mean218.58065
Median Absolute Deviation (MAD)5
Skewness29.955623
Sum487872
Variance4274253.7
MonotonicityNot monotonic
2024-04-06T18:04:35.604592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 834
34.5%
1 97
 
4.0%
2 64
 
2.6%
3 44
 
1.8%
4 41
 
1.7%
5 39
 
1.6%
10 39
 
1.6%
6 33
 
1.4%
7 31
 
1.3%
9 23
 
1.0%
Other values (426) 987
40.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 834
34.5%
1 97
 
4.0%
2 64
 
2.6%
3 44
 
1.8%
4 41
 
1.7%
5 39
 
1.6%
6 33
 
1.4%
7 31
 
1.3%
8 23
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
80861 1
< 0.1%
33794 1
< 0.1%
25505 1
< 0.1%
15697 1
< 0.1%
13656 1
< 0.1%
11042 1
< 0.1%
10385 1
< 0.1%
9563 1
< 0.1%
9235 1
< 0.1%
6989 1
< 0.1%

2022-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct359
Distinct (%)16.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean147.77419
Minimum0
Maximum51098
Zeros878
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:35.886994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340.25
95-th percentile413
Maximum51098
Range51098
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation1337.7748
Coefficient of variation (CV)9.052831
Kurtosis997.26655
Mean147.77419
Median Absolute Deviation (MAD)3
Skewness28.641716
Sum329832
Variance1789641.4
MonotonicityNot monotonic
2024-04-06T18:04:36.158937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 878
36.3%
1 115
 
4.8%
2 84
 
3.5%
3 63
 
2.6%
4 38
 
1.6%
5 38
 
1.6%
6 35
 
1.4%
7 30
 
1.2%
10 27
 
1.1%
8 25
 
1.0%
Other values (349) 899
37.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 878
36.3%
1 115
 
4.8%
2 84
 
3.5%
3 63
 
2.6%
4 38
 
1.6%
5 38
 
1.6%
6 35
 
1.4%
7 30
 
1.2%
8 25
 
1.0%
9 18
 
0.7%
ValueCountFrequency (%)
51098 1
< 0.1%
22457 1
< 0.1%
18685 1
< 0.1%
9999 1
< 0.1%
9523 1
< 0.1%
6179 1
< 0.1%
6112 1
< 0.1%
5837 1
< 0.1%
5670 1
< 0.1%
5004 1
< 0.1%

2022-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct356
Distinct (%)15.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean134.91219
Minimum0
Maximum54906
Zeros902
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:36.398077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q333
95-th percentile433
Maximum54906
Range54906
Interquartile range (IQR)33

Descriptive statistics

Standard deviation1344.4529
Coefficient of variation (CV)9.9653926
Kurtosis1256.8334
Mean134.91219
Median Absolute Deviation (MAD)3
Skewness32.460338
Sum301124
Variance1807553.6
MonotonicityNot monotonic
2024-04-06T18:04:36.628268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 902
37.3%
1 125
 
5.2%
2 87
 
3.6%
3 67
 
2.8%
4 52
 
2.2%
5 44
 
1.8%
6 37
 
1.5%
8 27
 
1.1%
16 25
 
1.0%
9 21
 
0.9%
Other values (346) 845
35.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 902
37.3%
1 125
 
5.2%
2 87
 
3.6%
3 67
 
2.8%
4 52
 
2.2%
5 44
 
1.8%
6 37
 
1.5%
7 20
 
0.8%
8 27
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
54906 1
< 0.1%
17427 1
< 0.1%
13823 1
< 0.1%
12102 1
< 0.1%
8994 1
< 0.1%
7294 1
< 0.1%
7258 1
< 0.1%
6518 1
< 0.1%
4421 1
< 0.1%
3988 1
< 0.1%

2022-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct375
Distinct (%)16.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean156.31855
Minimum0
Maximum64538
Zeros871
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:36.866951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338
95-th percentile495.45
Maximum64538
Range64538
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1579.6246
Coefficient of variation (CV)10.105164
Kurtosis1259.2957
Mean156.31855
Median Absolute Deviation (MAD)3
Skewness32.527659
Sum348903
Variance2495214
MonotonicityNot monotonic
2024-04-06T18:04:37.100755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 871
36.1%
1 137
 
5.7%
2 79
 
3.3%
3 51
 
2.1%
6 42
 
1.7%
4 39
 
1.6%
8 33
 
1.4%
7 32
 
1.3%
5 31
 
1.3%
10 22
 
0.9%
Other values (365) 895
37.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 871
36.1%
1 137
 
5.7%
2 79
 
3.3%
3 51
 
2.1%
4 39
 
1.6%
5 31
 
1.3%
6 42
 
1.7%
7 32
 
1.3%
8 33
 
1.4%
9 18
 
0.7%
ValueCountFrequency (%)
64538 1
< 0.1%
19878 1
< 0.1%
16474 1
< 0.1%
15358 1
< 0.1%
11888 1
< 0.1%
8142 1
< 0.1%
8006 1
< 0.1%
6096 1
< 0.1%
4835 1
< 0.1%
4824 1
< 0.1%

2022-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct367
Distinct (%)16.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean151.83602
Minimum0
Maximum56210
Zeros877
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:37.375402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343
95-th percentile462.9
Maximum56210
Range56210
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1428.1049
Coefficient of variation (CV)9.4055739
Kurtosis1103.0171
Mean151.83602
Median Absolute Deviation (MAD)3
Skewness30.219823
Sum338898
Variance2039483.6
MonotonicityNot monotonic
2024-04-06T18:04:37.609030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 877
36.3%
1 115
 
4.8%
2 73
 
3.0%
3 67
 
2.8%
4 46
 
1.9%
6 40
 
1.7%
7 34
 
1.4%
5 33
 
1.4%
8 29
 
1.2%
13 24
 
1.0%
Other values (357) 894
37.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 877
36.3%
1 115
 
4.8%
2 73
 
3.0%
3 67
 
2.8%
4 46
 
1.9%
5 33
 
1.4%
6 40
 
1.7%
7 34
 
1.4%
8 29
 
1.2%
9 23
 
1.0%
ValueCountFrequency (%)
56210 1
< 0.1%
22294 1
< 0.1%
16617 1
< 0.1%
12477 1
< 0.1%
11526 1
< 0.1%
7233 1
< 0.1%
6001 1
< 0.1%
5575 1
< 0.1%
5360 1
< 0.1%
4470 1
< 0.1%

2022-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct374
Distinct (%)16.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean150.76882
Minimum0
Maximum56485
Zeros858
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:37.963476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q343
95-th percentile438.9
Maximum56485
Range56485
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1429.9751
Coefficient of variation (CV)9.4845546
Kurtosis1116.5105
Mean150.76882
Median Absolute Deviation (MAD)3.5
Skewness30.411103
Sum336516
Variance2044828.7
MonotonicityNot monotonic
2024-04-06T18:04:38.188335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 858
35.5%
1 124
 
5.1%
2 71
 
2.9%
3 63
 
2.6%
4 51
 
2.1%
5 39
 
1.6%
6 33
 
1.4%
11 32
 
1.3%
8 31
 
1.3%
7 31
 
1.3%
Other values (364) 899
37.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 858
35.5%
1 124
 
5.1%
2 71
 
2.9%
3 63
 
2.6%
4 51
 
2.1%
5 39
 
1.6%
6 33
 
1.4%
7 31
 
1.3%
8 31
 
1.3%
9 23
 
1.0%
ValueCountFrequency (%)
56485 1
< 0.1%
22073 1
< 0.1%
15559 1
< 0.1%
14282 1
< 0.1%
9612 1
< 0.1%
7455 1
< 0.1%
6764 1
< 0.1%
5982 1
< 0.1%
5364 1
< 0.1%
4925 1
< 0.1%

2022-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct370
Distinct (%)16.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean157.79928
Minimum0
Maximum56940
Zeros874
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:38.442751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338
95-th percentile438.35
Maximum56940
Range56940
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1444.6764
Coefficient of variation (CV)9.1551516
Kurtosis1097.5706
Mean157.79928
Median Absolute Deviation (MAD)3
Skewness29.812225
Sum352208
Variance2087089.8
MonotonicityNot monotonic
2024-04-06T18:04:38.681201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 874
36.2%
1 118
 
4.9%
2 78
 
3.2%
3 66
 
2.7%
4 44
 
1.8%
6 39
 
1.6%
5 38
 
1.6%
7 34
 
1.4%
11 25
 
1.0%
8 23
 
1.0%
Other values (360) 893
37.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 874
36.2%
1 118
 
4.9%
2 78
 
3.2%
3 66
 
2.7%
4 44
 
1.8%
5 38
 
1.6%
6 39
 
1.6%
7 34
 
1.4%
8 23
 
1.0%
9 12
 
0.5%
ValueCountFrequency (%)
56940 1
< 0.1%
20506 1
< 0.1%
15681 1
< 0.1%
10158 1
< 0.1%
10102 1
< 0.1%
8921 1
< 0.1%
8354 1
< 0.1%
7873 1
< 0.1%
7629 1
< 0.1%
6851 1
< 0.1%

2022-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct348
Distinct (%)15.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean130.22715
Minimum0
Maximum46541
Zeros914
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:38.908073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q331
95-th percentile387.45
Maximum46541
Range46541
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1212.9585
Coefficient of variation (CV)9.3141756
Kurtosis1010.4746
Mean130.22715
Median Absolute Deviation (MAD)3
Skewness28.822818
Sum290667
Variance1471268.4
MonotonicityNot monotonic
2024-04-06T18:04:39.142961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 914
37.8%
1 132
 
5.5%
4 66
 
2.7%
2 61
 
2.5%
3 53
 
2.2%
5 40
 
1.7%
7 30
 
1.2%
10 28
 
1.2%
6 26
 
1.1%
12 25
 
1.0%
Other values (338) 857
35.5%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 914
37.8%
1 132
 
5.5%
2 61
 
2.5%
3 53
 
2.2%
4 66
 
2.7%
5 40
 
1.7%
6 26
 
1.1%
7 30
 
1.2%
8 23
 
1.0%
9 24
 
1.0%
ValueCountFrequency (%)
46541 1
< 0.1%
19593 1
< 0.1%
16915 1
< 0.1%
10065 1
< 0.1%
7857 1
< 0.1%
5833 1
< 0.1%
5808 1
< 0.1%
5560 1
< 0.1%
5496 1
< 0.1%
5198 1
< 0.1%

2022-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)15.1%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.80914
Minimum0
Maximum46093
Zeros917
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:39.380257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile359.35
Maximum46093
Range46093
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1161.184
Coefficient of variation (CV)9.6117227
Kurtosis1133.8319
Mean120.80914
Median Absolute Deviation (MAD)2
Skewness30.606432
Sum269646
Variance1348348.2
MonotonicityNot monotonic
2024-04-06T18:04:40.082457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 917
38.0%
1 145
 
6.0%
2 94
 
3.9%
3 63
 
2.6%
4 46
 
1.9%
6 37
 
1.5%
5 34
 
1.4%
7 31
 
1.3%
9 29
 
1.2%
10 26
 
1.1%
Other values (327) 810
33.5%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 917
38.0%
1 145
 
6.0%
2 94
 
3.9%
3 63
 
2.6%
4 46
 
1.9%
5 34
 
1.4%
6 37
 
1.5%
7 31
 
1.3%
8 25
 
1.0%
9 29
 
1.2%
ValueCountFrequency (%)
46093 1
< 0.1%
16225 1
< 0.1%
15209 1
< 0.1%
7984 1
< 0.1%
7979 1
< 0.1%
6245 1
< 0.1%
5559 1
< 0.1%
5462 1
< 0.1%
5408 1
< 0.1%
5368 1
< 0.1%

2022-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct319
Distinct (%)14.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean108.17787
Minimum0
Maximum42118
Zeros931
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:40.321903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile319.8
Maximum42118
Range42118
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1051.9634
Coefficient of variation (CV)9.724387
Kurtosis1167.1885
Mean108.17787
Median Absolute Deviation (MAD)2
Skewness31.052378
Sum241453
Variance1106627.1
MonotonicityNot monotonic
2024-04-06T18:04:40.569091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
38.5%
1 154
 
6.4%
2 86
 
3.6%
4 53
 
2.2%
5 52
 
2.2%
3 52
 
2.2%
6 37
 
1.5%
7 31
 
1.3%
13 26
 
1.1%
9 25
 
1.0%
Other values (309) 785
32.5%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 931
38.5%
1 154
 
6.4%
2 86
 
3.6%
3 52
 
2.2%
4 53
 
2.2%
5 52
 
2.2%
6 37
 
1.5%
7 31
 
1.3%
8 21
 
0.9%
9 25
 
1.0%
ValueCountFrequency (%)
42118 1
< 0.1%
14616 1
< 0.1%
11338 1
< 0.1%
9236 1
< 0.1%
7484 1
< 0.1%
6187 1
< 0.1%
5519 1
< 0.1%
5315 1
< 0.1%
4075 1
< 0.1%
3805 1
< 0.1%

2022-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct320
Distinct (%)14.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean114.75
Minimum0
Maximum48855
Zeros969
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:40.835881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile326.45
Maximum48855
Range48855
Interquartile range (IQR)24

Descriptive statistics

Standard deviation1192.5314
Coefficient of variation (CV)10.39243
Kurtosis1272.2205
Mean114.75
Median Absolute Deviation (MAD)2
Skewness32.678401
Sum256122
Variance1422131.1
MonotonicityNot monotonic
2024-04-06T18:04:41.117419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 969
40.1%
1 136
 
5.6%
2 91
 
3.8%
3 62
 
2.6%
5 48
 
2.0%
4 46
 
1.9%
7 38
 
1.6%
6 29
 
1.2%
13 28
 
1.2%
8 26
 
1.1%
Other values (310) 759
31.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 969
40.1%
1 136
 
5.6%
2 91
 
3.8%
3 62
 
2.6%
4 46
 
1.9%
5 48
 
2.0%
6 29
 
1.2%
7 38
 
1.6%
8 26
 
1.1%
9 22
 
0.9%
ValueCountFrequency (%)
48855 1
< 0.1%
15683 1
< 0.1%
11511 1
< 0.1%
10620 1
< 0.1%
7218 1
< 0.1%
6083 1
< 0.1%
5619 1
< 0.1%
5451 1
< 0.1%
4413 1
< 0.1%
4317 1
< 0.1%

2022-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct330
Distinct (%)14.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean130.00538
Minimum0
Maximum55553
Zeros938
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:41.342358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile399.45
Maximum55553
Range55553
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1362.9368
Coefficient of variation (CV)10.483696
Kurtosis1251.5141
Mean130.00538
Median Absolute Deviation (MAD)2
Skewness32.454561
Sum290172
Variance1857596.8
MonotonicityNot monotonic
2024-04-06T18:04:41.551923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
38.8%
1 137
 
5.7%
2 91
 
3.8%
4 61
 
2.5%
3 51
 
2.1%
5 49
 
2.0%
6 37
 
1.5%
9 34
 
1.4%
10 32
 
1.3%
7 31
 
1.3%
Other values (320) 771
31.9%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 938
38.8%
1 137
 
5.7%
2 91
 
3.8%
3 51
 
2.1%
4 61
 
2.5%
5 49
 
2.0%
6 37
 
1.5%
7 31
 
1.3%
8 27
 
1.1%
9 34
 
1.4%
ValueCountFrequency (%)
55553 1
< 0.1%
19268 1
< 0.1%
13211 1
< 0.1%
12051 1
< 0.1%
8011 1
< 0.1%
7812 1
< 0.1%
7353 1
< 0.1%
5814 1
< 0.1%
4844 1
< 0.1%
4833 1
< 0.1%

2022-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct373
Distinct (%)16.7%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean183.96371
Minimum0
Maximum74531
Zeros932
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:41.760530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q335
95-th percentile550.7
Maximum74531
Range74531
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1858.7471
Coefficient of variation (CV)10.103879
Kurtosis1174.0864
Mean183.96371
Median Absolute Deviation (MAD)2
Skewness31.172928
Sum410607
Variance3454940.6
MonotonicityNot monotonic
2024-04-06T18:04:41.982878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 932
38.6%
1 122
 
5.0%
2 93
 
3.8%
3 62
 
2.6%
4 49
 
2.0%
5 36
 
1.5%
6 31
 
1.3%
7 22
 
0.9%
8 22
 
0.9%
9 22
 
0.9%
Other values (363) 841
34.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 932
38.6%
1 122
 
5.0%
2 93
 
3.8%
3 62
 
2.6%
4 49
 
2.0%
5 36
 
1.5%
6 31
 
1.3%
7 22
 
0.9%
8 22
 
0.9%
9 22
 
0.9%
ValueCountFrequency (%)
74531 1
< 0.1%
25960 1
< 0.1%
18864 1
< 0.1%
16288 1
< 0.1%
12981 1
< 0.1%
12942 1
< 0.1%
10439 1
< 0.1%
8259 1
< 0.1%
8186 1
< 0.1%
7169 1
< 0.1%

2023-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)13.0%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean93.687724
Minimum0
Maximum36580
Zeros1010
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:42.268029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q320
95-th percentile294.45
Maximum36580
Range36580
Interquartile range (IQR)20

Descriptive statistics

Standard deviation926.51034
Coefficient of variation (CV)9.8893462
Kurtosis1115.9475
Mean93.687724
Median Absolute Deviation (MAD)1
Skewness30.46516
Sum209111
Variance858421.41
MonotonicityNot monotonic
2024-04-06T18:04:42.536782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1010
41.8%
1 148
 
6.1%
2 96
 
4.0%
3 62
 
2.6%
4 43
 
1.8%
5 41
 
1.7%
6 32
 
1.3%
13 26
 
1.1%
8 25
 
1.0%
15 24
 
1.0%
Other values (281) 725
30.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 1010
41.8%
1 148
 
6.1%
2 96
 
4.0%
3 62
 
2.6%
4 43
 
1.8%
5 41
 
1.7%
6 32
 
1.3%
7 23
 
1.0%
8 25
 
1.0%
9 20
 
0.8%
ValueCountFrequency (%)
36580 1
< 0.1%
13671 1
< 0.1%
11979 1
< 0.1%
8891 1
< 0.1%
5950 1
< 0.1%
4191 1
< 0.1%
4113 1
< 0.1%
4027 1
< 0.1%
3681 1
< 0.1%
3648 1
< 0.1%

2023-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct326
Distinct (%)14.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean115.21461
Minimum0
Maximum48994
Zeros988
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:42.750654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q324
95-th percentile332.45
Maximum48994
Range48994
Interquartile range (IQR)24

Descriptive statistics

Standard deviation1184.0731
Coefficient of variation (CV)10.277109
Kurtosis1317.1772
Mean115.21461
Median Absolute Deviation (MAD)1
Skewness33.263586
Sum257159
Variance1402029
MonotonicityNot monotonic
2024-04-06T18:04:43.008376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 988
40.9%
1 152
 
6.3%
2 86
 
3.6%
3 77
 
3.2%
4 43
 
1.8%
5 34
 
1.4%
6 30
 
1.2%
11 25
 
1.0%
7 23
 
1.0%
8 23
 
1.0%
Other values (316) 751
31.1%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 988
40.9%
1 152
 
6.3%
2 86
 
3.6%
3 77
 
3.2%
4 43
 
1.8%
5 34
 
1.4%
6 30
 
1.2%
7 23
 
1.0%
8 23
 
1.0%
9 18
 
0.7%
ValueCountFrequency (%)
48994 1
< 0.1%
13667 1
< 0.1%
11174 1
< 0.1%
8760 1
< 0.1%
8132 1
< 0.1%
7259 1
< 0.1%
6965 1
< 0.1%
6143 1
< 0.1%
5205 1
< 0.1%
4596 1
< 0.1%

2023-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct332
Distinct (%)14.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean119.62455
Minimum0
Maximum51252
Zeros938
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:43.234632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile351.15
Maximum51252
Range51252
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1238.5118
Coefficient of variation (CV)10.353324
Kurtosis1319.0859
Mean119.62455
Median Absolute Deviation (MAD)2
Skewness33.356043
Sum267002
Variance1533911.4
MonotonicityNot monotonic
2024-04-06T18:04:43.469273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
38.8%
1 134
 
5.5%
2 94
 
3.9%
3 65
 
2.7%
4 56
 
2.3%
5 47
 
1.9%
6 39
 
1.6%
7 34
 
1.4%
10 30
 
1.2%
9 26
 
1.1%
Other values (322) 769
31.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 938
38.8%
1 134
 
5.5%
2 94
 
3.9%
3 65
 
2.7%
4 56
 
2.3%
5 47
 
1.9%
6 39
 
1.6%
7 34
 
1.4%
8 26
 
1.1%
9 26
 
1.1%
ValueCountFrequency (%)
51252 1
< 0.1%
13653 1
< 0.1%
12790 1
< 0.1%
11358 1
< 0.1%
8526 1
< 0.1%
6274 1
< 0.1%
6257 1
< 0.1%
6092 1
< 0.1%
5034 1
< 0.1%
3760 1
< 0.1%

2023-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct319
Distinct (%)14.3%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean105.76075
Minimum0
Maximum47658
Zeros926
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:43.698397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile323.45
Maximum47658
Range47658
Interquartile range (IQR)24

Descriptive statistics

Standard deviation1134.1195
Coefficient of variation (CV)10.723444
Kurtosis1398.664
Mean105.76075
Median Absolute Deviation (MAD)2
Skewness34.571413
Sum236058
Variance1286227.2
MonotonicityNot monotonic
2024-04-06T18:04:43.957796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 926
38.3%
1 164
 
6.8%
2 79
 
3.3%
3 73
 
3.0%
4 47
 
1.9%
5 40
 
1.7%
6 40
 
1.7%
7 34
 
1.4%
9 31
 
1.3%
10 26
 
1.1%
Other values (309) 772
32.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 926
38.3%
1 164
 
6.8%
2 79
 
3.3%
3 73
 
3.0%
4 47
 
1.9%
5 40
 
1.7%
6 40
 
1.7%
7 34
 
1.4%
8 25
 
1.0%
9 31
 
1.3%
ValueCountFrequency (%)
47658 1
< 0.1%
11636 1
< 0.1%
9976 1
< 0.1%
9687 1
< 0.1%
9367 1
< 0.1%
6410 1
< 0.1%
5279 1
< 0.1%
4960 1
< 0.1%
3961 1
< 0.1%
3656 1
< 0.1%

2023-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)14.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean115.30914
Minimum0
Maximum47582
Zeros920
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:44.217387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile350.45
Maximum47582
Range47582
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1160.1785
Coefficient of variation (CV)10.061462
Kurtosis1274.488
Mean115.30914
Median Absolute Deviation (MAD)2
Skewness32.628365
Sum257370
Variance1346014.2
MonotonicityNot monotonic
2024-04-06T18:04:44.448547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 920
38.1%
1 148
 
6.1%
2 85
 
3.5%
3 67
 
2.8%
4 47
 
1.9%
6 39
 
1.6%
5 36
 
1.5%
8 30
 
1.2%
9 28
 
1.2%
7 25
 
1.0%
Other values (311) 807
33.4%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 920
38.1%
1 148
 
6.1%
2 85
 
3.5%
3 67
 
2.8%
4 47
 
1.9%
5 36
 
1.5%
6 39
 
1.6%
7 25
 
1.0%
8 30
 
1.2%
9 28
 
1.2%
ValueCountFrequency (%)
47582 1
< 0.1%
14340 1
< 0.1%
11262 1
< 0.1%
9731 1
< 0.1%
7427 1
< 0.1%
6473 1
< 0.1%
6246 1
< 0.1%
5964 1
< 0.1%
4545 1
< 0.1%
4210 1
< 0.1%

2023-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct333
Distinct (%)14.9%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean142.62186
Minimum0
Maximum49228
Zeros903
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:44.691760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile362.9
Maximum49228
Range49228
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1330.7982
Coefficient of variation (CV)9.3309551
Kurtosis866.92876
Mean142.62186
Median Absolute Deviation (MAD)2
Skewness26.018325
Sum318332
Variance1771023.9
MonotonicityNot monotonic
2024-04-06T18:04:44.938124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 903
37.4%
1 153
 
6.3%
2 85
 
3.5%
3 83
 
3.4%
4 52
 
2.2%
6 44
 
1.8%
5 39
 
1.6%
7 32
 
1.3%
8 28
 
1.2%
15 22
 
0.9%
Other values (323) 791
32.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 903
37.4%
1 153
 
6.3%
2 85
 
3.5%
3 83
 
3.4%
4 52
 
2.2%
5 39
 
1.6%
6 44
 
1.8%
7 32
 
1.3%
8 28
 
1.2%
9 21
 
0.9%
ValueCountFrequency (%)
49228 1
< 0.1%
19322 1
< 0.1%
14672 1
< 0.1%
14349 1
< 0.1%
9953 1
< 0.1%
9803 1
< 0.1%
9569 1
< 0.1%
8719 1
< 0.1%
8661 1
< 0.1%
7816 1
< 0.1%

2023-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct300
Distinct (%)13.4%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean95.352599
Minimum0
Maximum33225
Zeros952
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:45.187963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323.25
95-th percentile263.45
Maximum33225
Range33225
Interquartile range (IQR)23.25

Descriptive statistics

Standard deviation862.55205
Coefficient of variation (CV)9.0459208
Kurtosis1011.9994
Mean95.352599
Median Absolute Deviation (MAD)2
Skewness28.530774
Sum212827
Variance743996.04
MonotonicityNot monotonic
2024-04-06T18:04:45.439531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 952
39.4%
1 146
 
6.0%
2 98
 
4.1%
3 62
 
2.6%
4 44
 
1.8%
5 40
 
1.7%
7 37
 
1.5%
9 32
 
1.3%
6 26
 
1.1%
10 26
 
1.1%
Other values (290) 769
31.8%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 952
39.4%
1 146
 
6.0%
2 98
 
4.1%
3 62
 
2.6%
4 44
 
1.8%
5 40
 
1.7%
6 26
 
1.1%
7 37
 
1.5%
8 22
 
0.9%
9 32
 
1.3%
ValueCountFrequency (%)
33225 1
< 0.1%
13347 1
< 0.1%
9411 1
< 0.1%
6761 1
< 0.1%
6635 1
< 0.1%
5771 1
< 0.1%
5017 1
< 0.1%
4859 1
< 0.1%
4326 1
< 0.1%
4074 1
< 0.1%

2023-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct302
Distinct (%)13.5%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean110.32975
Minimum0
Maximum42243
Zeros950
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:45.686053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile296.8
Maximum42243
Range42243
Interquartile range (IQR)24

Descriptive statistics

Standard deviation1067.2098
Coefficient of variation (CV)9.6729109
Kurtosis1114.5225
Mean110.32975
Median Absolute Deviation (MAD)2
Skewness30.061442
Sum246256
Variance1138936.8
MonotonicityNot monotonic
2024-04-06T18:04:45.917586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 950
39.3%
1 143
 
5.9%
2 115
 
4.8%
4 56
 
2.3%
3 46
 
1.9%
5 44
 
1.8%
7 41
 
1.7%
6 37
 
1.5%
8 26
 
1.1%
10 24
 
1.0%
Other values (292) 750
31.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 950
39.3%
1 143
 
5.9%
2 115
 
4.8%
3 46
 
1.9%
4 56
 
2.3%
5 44
 
1.8%
6 37
 
1.5%
7 41
 
1.7%
8 26
 
1.1%
9 23
 
1.0%
ValueCountFrequency (%)
42243 1
< 0.1%
15002 1
< 0.1%
10165 1
< 0.1%
7891 1
< 0.1%
7834 1
< 0.1%
6977 1
< 0.1%
6873 1
< 0.1%
5437 1
< 0.1%
5107 1
< 0.1%
4816 1
< 0.1%

2023-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct282
Distinct (%)12.6%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean81.234319
Minimum0
Maximum31081
Zeros972
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:46.178133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile243.7
Maximum31081
Range31081
Interquartile range (IQR)21

Descriptive statistics

Standard deviation782.53189
Coefficient of variation (CV)9.6330209
Kurtosis1142.177
Mean81.234319
Median Absolute Deviation (MAD)2
Skewness30.835821
Sum181315
Variance612356.16
MonotonicityNot monotonic
2024-04-06T18:04:46.449165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 972
40.2%
1 139
 
5.8%
2 93
 
3.8%
3 65
 
2.7%
4 48
 
2.0%
5 44
 
1.8%
7 38
 
1.6%
6 38
 
1.6%
8 28
 
1.2%
9 26
 
1.1%
Other values (272) 741
30.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 972
40.2%
1 139
 
5.8%
2 93
 
3.8%
3 65
 
2.7%
4 48
 
2.0%
5 44
 
1.8%
6 38
 
1.6%
7 38
 
1.6%
8 28
 
1.2%
9 26
 
1.1%
ValueCountFrequency (%)
31081 1
< 0.1%
12592 1
< 0.1%
8322 1
< 0.1%
5890 1
< 0.1%
5431 1
< 0.1%
4528 1
< 0.1%
3468 1
< 0.1%
3384 1
< 0.1%
2958 1
< 0.1%
2909 1
< 0.1%

2023-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)13.2%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean108.71595
Minimum0
Maximum51434
Zeros956
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:46.712036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q320
95-th percentile274
Maximum51434
Range51434
Interquartile range (IQR)20

Descriptive statistics

Standard deviation1279.4999
Coefficient of variation (CV)11.769201
Kurtosis1192.8755
Mean108.71595
Median Absolute Deviation (MAD)1
Skewness31.714401
Sum242654
Variance1637120
MonotonicityNot monotonic
2024-04-06T18:04:46.997929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 956
39.6%
1 169
 
7.0%
2 87
 
3.6%
3 65
 
2.7%
4 55
 
2.3%
5 44
 
1.8%
7 34
 
1.4%
8 33
 
1.4%
6 32
 
1.3%
9 31
 
1.3%
Other values (284) 726
30.0%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 956
39.6%
1 169
 
7.0%
2 87
 
3.6%
3 65
 
2.7%
4 55
 
2.3%
5 44
 
1.8%
6 32
 
1.3%
7 34
 
1.4%
8 33
 
1.4%
9 31
 
1.3%
ValueCountFrequency (%)
51434 1
< 0.1%
18354 1
< 0.1%
14480 1
< 0.1%
12674 1
< 0.1%
9017 1
< 0.1%
8270 1
< 0.1%
5950 1
< 0.1%
5903 1
< 0.1%
3801 1
< 0.1%
3763 1
< 0.1%

2023-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct309
Distinct (%)13.8%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean99.604839
Minimum0
Maximum38555
Zeros952
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:47.695228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile311.9
Maximum38555
Range38555
Interquartile range (IQR)26

Descriptive statistics

Standard deviation967.80687
Coefficient of variation (CV)9.7164644
Kurtosis1153.3837
Mean99.604839
Median Absolute Deviation (MAD)2
Skewness31.014867
Sum222318
Variance936650.13
MonotonicityNot monotonic
2024-04-06T18:04:47.966811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 952
39.4%
1 149
 
6.2%
2 78
 
3.2%
3 63
 
2.6%
5 49
 
2.0%
4 46
 
1.9%
6 42
 
1.7%
7 32
 
1.3%
8 29
 
1.2%
13 26
 
1.1%
Other values (299) 766
31.7%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 952
39.4%
1 149
 
6.2%
2 78
 
3.2%
3 63
 
2.6%
4 46
 
1.9%
5 49
 
2.0%
6 42
 
1.7%
7 32
 
1.3%
8 29
 
1.2%
9 18
 
0.7%
ValueCountFrequency (%)
38555 1
< 0.1%
15077 1
< 0.1%
10594 1
< 0.1%
8153 1
< 0.1%
6613 1
< 0.1%
5288 1
< 0.1%
4853 1
< 0.1%
4050 1
< 0.1%
3819 1
< 0.1%
2914 1
< 0.1%

2023-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct335
Distinct (%)15.0%
Missing184
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean111.50179
Minimum0
Maximum43488
Zeros938
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:48.245662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q327
95-th percentile348.8
Maximum43488
Range43488
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1084.0386
Coefficient of variation (CV)9.7221629
Kurtosis1181.8114
Mean111.50179
Median Absolute Deviation (MAD)2
Skewness31.39341
Sum248872
Variance1175139.7
MonotonicityNot monotonic
2024-04-06T18:04:48.481337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
38.8%
1 145
 
6.0%
2 81
 
3.4%
3 63
 
2.6%
4 49
 
2.0%
6 37
 
1.5%
5 36
 
1.5%
7 33
 
1.4%
10 25
 
1.0%
11 24
 
1.0%
Other values (325) 801
33.2%
(Missing) 184
 
7.6%
ValueCountFrequency (%)
0 938
38.8%
1 145
 
6.0%
2 81
 
3.4%
3 63
 
2.6%
4 49
 
2.0%
5 36
 
1.5%
6 37
 
1.5%
7 33
 
1.4%
8 21
 
0.9%
9 23
 
1.0%
ValueCountFrequency (%)
43488 1
< 0.1%
16762 1
< 0.1%
10591 1
< 0.1%
8567 1
< 0.1%
7575 1
< 0.1%
5575 1
< 0.1%
5258 1
< 0.1%
4862 1
< 0.1%
4578 1
< 0.1%
4310 1
< 0.1%

2024-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct311
Distinct (%)13.8%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean105.2039
Minimum0
Maximum40173
Zeros964
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:48.728333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q323.25
95-th percentile319.25
Maximum40173
Range40173
Interquartile range (IQR)23.25

Descriptive statistics

Standard deviation1010.6736
Coefficient of variation (CV)9.606807
Kurtosis1127.2457
Mean105.2039
Median Absolute Deviation (MAD)1
Skewness30.399668
Sum237340
Variance1021461.1
MonotonicityNot monotonic
2024-04-06T18:04:48.980961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 964
39.9%
1 165
 
6.8%
2 83
 
3.4%
3 73
 
3.0%
4 45
 
1.9%
5 39
 
1.6%
7 33
 
1.4%
6 32
 
1.3%
8 24
 
1.0%
10 23
 
1.0%
Other values (301) 775
32.1%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 964
39.9%
1 165
 
6.8%
2 83
 
3.4%
3 73
 
3.0%
4 45
 
1.9%
5 39
 
1.6%
6 32
 
1.3%
7 33
 
1.4%
8 24
 
1.0%
9 21
 
0.9%
ValueCountFrequency (%)
40173 1
< 0.1%
14955 1
< 0.1%
11178 1
< 0.1%
8331 1
< 0.1%
7802 1
< 0.1%
5363 1
< 0.1%
4906 1
< 0.1%
4817 1
< 0.1%
4408 1
< 0.1%
4155 1
< 0.1%

2024-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct287
Distinct (%)12.7%
Missing160
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean86.737145
Minimum0
Maximum37256
Zeros878
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size21.4 KiB
2024-04-06T18:04:49.264641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile265.25
Maximum37256
Range37256
Interquartile range (IQR)21

Descriptive statistics

Standard deviation886.49543
Coefficient of variation (CV)10.220482
Kurtosis1384.2083
Mean86.737145
Median Absolute Deviation (MAD)2
Skewness34.247486
Sum195679
Variance785874.14
MonotonicityNot monotonic
2024-04-06T18:04:49.528069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 878
36.3%
1 184
 
7.6%
2 95
 
3.9%
3 79
 
3.3%
4 58
 
2.4%
5 40
 
1.7%
6 37
 
1.5%
7 36
 
1.5%
8 31
 
1.3%
9 30
 
1.2%
Other values (277) 788
32.6%
(Missing) 160
 
6.6%
ValueCountFrequency (%)
0 878
36.3%
1 184
 
7.6%
2 95
 
3.9%
3 79
 
3.3%
4 58
 
2.4%
5 40
 
1.7%
6 37
 
1.5%
7 36
 
1.5%
8 31
 
1.3%
9 30
 
1.2%
ValueCountFrequency (%)
37256 1
< 0.1%
9948 1
< 0.1%
7146 1
< 0.1%
6858 1
< 0.1%
6857 1
< 0.1%
5397 1
< 0.1%
4822 1
< 0.1%
4207 1
< 0.1%
3499 1
< 0.1%
3454 1
< 0.1%

Sample

지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
0전국 /도시지역_주거지역721704819348184243403027528886261082871163648257882455130905226002098719774178281598613952158931513313697190671964416391158501702818675291931525812295177259423985111060892610945119921428612171133781380414874120171239113777142131765016614134081258415096119531480515610145211218910267140561593519129161591286816826142471532615497149131494514225144411614221406110952051414458159641433413996129551251215638156771605120727134991099613696157411688719101149381253512134168281782522432174091683417278207622181718715183031677417873228613447929627203251603623046245182300025625301461994619001208322073827277191401791726486223872183021165521622291521247222442798638685219452374323058206932237721985261652368923139175072498928980259721873224378248612700421654227712273518765242352517927072270921876022045292892351618550207022040518281222142429926793232032511623053357362226127845298892190722000266042639636797266122399731143308683099228104252462212921726219012180233794224571742719878222942207320506195931622514616156831926825960136711366713653116361434014672133471500212592126741507716762149556857
1전국 /도시지역_상업지역10051469122610031444104313298251679920103726071961124710881293996104292786586210121102915216776991392496192997160765268652059854259279872880478283974478668577012135256288277916217446886306408868431074831619109398198310061126886808891990117377310231417101910501117963873847888114910281000759927128312891385103992281210611349122986911211078114712521033118510751205158515261797136411691389148017211734193713781417162114231488110686811031259140713801563218213081341148314091416143219721363155725611652159013681069128815221225992131412821313120015239379861314168615171218120210151177114413421324144895515953015133212341599134811491114158116051394124313101473197917081201155617461735245216821318132513701789155312601092138012941434129410929491230590505604526666550581578645575581591566584691462559
2전국 /도시지역_공업지역337931194079298243883762273630783375238542589058330825214716162815905357132314025380130034902388259124887316624623836545327522431379216101305138921011254217233241717207128492487205618232228344019982206300339533832343326622831379327722580497227762237314447352893300032833243317641043892402622642942354123053055440024394108384534882644416444403606714047913532380629483816304137443588400824843782406059603622605433952472288630473272871429005132292448174353440934373037351423983235431526762614500536462658366229395719369334883692506731762831323039663334391750643025340220443849521528522739282941723548412044522699153824403188490926763088284938374476584725782904343822362998437631742931415635393207398333512440338830373117497841932547379834834280524744163175375725834359535939193439372741114400530333912567254324302547223522982179270518792242282524912782166023572430233553631555
3전국 /도시지역_녹지지역274613091932681226823078918862155341881823236180422422486876301831848823160229612687017396200432314013109191502519627946275662116126258243502696824948243591518315277189711623318190143831714917041203081705219954202221554416527178981618125700159801458418442171461994019779156541629113002150941402020000141251174717826172871755418640151971365112890126071845719027124501706017414172891790615863151381330012573144021453815549154711496016278183551543214204150681381112453136031430418042158061350216860210541802714866159001423214260172461721619735212511510218564199991780120819290721666015821191181923123821170701511122961203891862423321177381875714688157721657120508169601676923677168151727117268171901708819102138911845321057182041367218422159131801015365166271367399231538415304185931636012045168221502418821123771615512437104921353513987178011510621540173891594016120220471647414523171521443317657246351687716304234152144728160186411867318265162121650218723255051868513823164741661715559156811691515209113381062012051162888891111741279099761126219322941110165832282701059410591111789948
4전국 /도시지역_개발제한구역18642508330540327941449032624904482759384947101834652196146644833442941503599421034844835513762943677302947034593437232002912237619903154598036432960369939833952487847043577357133272336263142622018226532073665390748672956235218101642265544622838172261572748282941724741350526532840313442482732414437302990367729712936468541812849272025612539218232743097292637824287264928683081267536793142423632563160334032952995285328154132310430543479316038614687477046814609348028543677402248622962298233423629278364251412134333244501557854365635243664706395333203355898744723592326737673837386434203930298838954080408925334241337937313862668933113448362437152387267626862434363128532929301729113017253930923309415121452262230031013408332631963739298426082802308024221652197127873908277426622278243322012218169711061232176513133491162516741645144830271320140314161108963171718721273301
5전국 /도시지역_용도미지정6169315754749205667296023997317922453563414274944511487237093333325724752565267311673398363549915142550760285599816692524089294525121491115917421378951129521301113104513378971387227311142029145310148541375119515041175488557925423538121094680101252613665075287381270632861719508114693675186263154387971291058810668961322645729735726522121094644977656349374379512301536136813278121682176565815498184817451326148212021489113492713931001171590526211296154618841344136812528407371326181612111167192022713165277734363206216615653010252734271520319121212742310436961715129820031773272918382123128717461522186231201596116117061935267130472028297919341387163122491969184518251636287329982463209876903688279019552237201122752100287042431866176218502361347817172412110011761122257924831713837130111561568160993415057051266264915823454
6전국 /농림지역8730092736121865103714119661773567081776272832147301983795141730724086712279731887597839673410704846804447010708767085071931671176532582563837986984867215640065032857073762506277570222482997489510922883979812841014407756370507679826020178877924246356161271932778760367889732515614756045422125909371884695125560460053891977932076281807415482658613489465156758808687195216458840778826372272666753534763145801368284367754113539475282449478720386854666514635155306342553434604963647807604054510952460643876334062394575035796144620511575542358143616665265047520757177604155928758836001354344514555700362053794924887856640747896263858648716925522953948480985777052510746955131455827776526911969997742736968868378631005513164046793357014660285820437042976419640826068149710424105963960313664185890453723661927229963544527935138548147430955404452919666914608660747638255152659376710905473647069524585381662541752444985555405878947767562052658035337051380468985037657560808615109854906645385621056485569404654146093421184885555553745313658048994512524765847582492283322542243310815143438555434884017337256
7전국 /자연환경보전지역4798364653511233218749815286199782942756311217413627591637115469744879228739619392027597675663655542490543638804898650725551741646196192583811162643246826232110739813102171181861335881689156751701966671139347889665107485316912951404825669343043817784145615234210507965761759432898624032703670430272473990365449981356565085765314833312586348036314876348836675305698340337068267243676244421026094420335439113954306737325831402729281437550543788367835293295431138373130174084288422934365383476254035499247549583680455769614074257644752964528642902351500738705318416141933844281956573282338837703408253657763436329450103563383923913734473927473972250431798280658233672141279021393257252837241821241935733425400038184006208328466251237743461263525927552399361656328403324962279291629464103190322423251391849258921317528313805200822198259170827943196228238421434967616977178616091873229621153499
8서울 /도시지역_주거지역461648104061174630142011233918351804244751704370186512581504203324201110193319311203208817562530169292718402056181715461213704643594406581731573681982893111410651015129312991438114970379896875270763848356160560582316758176881163855804759699808856657859965492446665675377757653951541369069812879504806217991039141065258572110284267120813241006110511011598113411881220114614421224104190614841563258618011753182515911219137214681825125810911482130516751815340519101547174717681898222111691132187914301689183518901317846152717171619119020191149120416942050131213952057134711433781590867857104024571452127291213101196175317321665132111091489204919742084129810291175156916361460136115891923133621411159114212251045111596410191428143910311217198289163654412661496413540622567856523796582496606537613504444
9서울 /도시지역_상업지역2761291831562179513712770113315020493781431631461119113323017413110812147013310611782117557356396426359779564882766582941395560767154646138726353122824271576847583743466610048375465716962464543466948436046587945423669378963486058415058444462711155243556159827457515573100484771661646310874749963775733814371126110199127966287155106183119671199893111751362389588548083110771228711012293158160901022087595108131117699310875100124107167116981368285738582446014784755457742345382030394143402942285332323433
지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
2406제주 제주시/농림지역<NA><NA><NA><NA><NA><NA>40374629478627283048152026331938303332311902423112242116438484147332725122329291081611573912538107163491513401490000000000000000000100100110010000001000470070093050017500300000011800000400000000000000013000002002000000000000000012000200110210020000703070000000000000071200
2407제주 제주시/자연환경보전지역<NA><NA><NA><NA><NA><NA>20553464337761071022775916595212192230169421330214643335391670192964133941112532915152142258962413914307405921358817029441800350001529863310500206430267582946002120401797634371208952241485402049032761101750326176212835187081271180522389600312705321041441015820103437723337513001710602126066622671063130314317123245021000041161615021532140
2408제주 서귀포시/도시지역_주거지역<NA><NA><NA><NA><NA><NA>474349286612848754347425656466339464939426541534575653332362529362743353541313636374752373939394479513564554753328458465529683468559741675557726953605449646610060811267675698174779710585979611221112419515714115913917613113813513816317816226813418417717917511421715316614715299137126151465115130120111987470626460959755731049612863585499483860821065086803534882044644141484129694261445743456245746755855563514947636565435584801039644343840642754302626683340393338605731
2409제주 서귀포시/도시지역_상업지역<NA><NA><NA><NA><NA><NA>87323115353557522524244633930221112255332451032534573593747623355561133958791158109761061411115971413166117571151199128101814169127778113171310966101511119665610105334675398113473876675411271532315255334443883548252725434633434324221133362121644
2410제주 서귀포시/도시지역_공업지역<NA><NA><NA><NA><NA><NA>5200100001002001022301014010300031010132021000032030050006000014103060000002001000023030000032022320120061063040121000011420100101321001305200003100020010001100000002030000020201000000010304010000000000001051001002
2411제주 서귀포시/도시지역_녹지지역<NA><NA><NA><NA><NA><NA>43440053241762299194537440733447233614918414933772562943593193295103631943552351903072512451461343573253851031322214273276258459244309421412445464254297199282263496271274401239354367352310423246435677265311412592534481565416341441489639570411511882747575575907461611582515523715766785836775673741928738702881988756986102085675367755856473496214616365991269783883920605539429414476662531500465626580540424420513469519625483286579541693338440271264401412752406341406457666260253337217232273402266319330315491245311328271322405452396404538465580308326244239229549470372274430431369312231254297253330219174433242186159244177255208157182452164168
2412제주 서귀포시/도시지역_개발제한구역<NA><NA><NA><NA><NA><NA>00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
2413제주 서귀포시/도시지역_용도미지정<NA><NA><NA><NA><NA><NA>000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000002010100001000021000000000000000010011011011101110001000100011101000000000000000110000011111000000000000000000000000007
2414제주 서귀포시/농림지역<NA><NA><NA><NA><NA><NA>3549194851109713797837022593139494678392851335444945285414212520455756284430651328232740731226283922422331134216833630000000700000000700000000000000000001000070000000000000000000000000000000000000000000000000000000000000001406000000000000010000000000000000000000000000020
2415제주 서귀포시/자연환경보전지역<NA><NA><NA><NA><NA><NA>0000054001190010000024000002200000002400103000000000200000000000300110000000000000000400000030000006000004000000000000000000000000000801013000000000000000000000000000000014400000000000003000004000000000000000000606000