Overview

Dataset statistics

Number of variables218
Number of observations3624
Missing cells137010
Missing cells (%)17.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 MiB
Average record size in memory1.9 KiB

Variable types

Text1
Numeric217

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 건축물 거래현황의 월별 건물용도별(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068125/fileData.do

Alerts

2006-01 has 884 (24.4%) missing valuesMissing
2006-02 has 884 (24.4%) missing valuesMissing
2006-03 has 884 (24.4%) missing valuesMissing
2006-04 has 884 (24.4%) missing valuesMissing
2006-05 has 884 (24.4%) missing valuesMissing
2006-06 has 884 (24.4%) missing valuesMissing
2006-07 has 904 (24.9%) missing valuesMissing
2006-08 has 904 (24.9%) missing valuesMissing
2006-09 has 904 (24.9%) missing valuesMissing
2006-10 has 904 (24.9%) missing valuesMissing
2006-11 has 904 (24.9%) missing valuesMissing
2006-12 has 904 (24.9%) missing valuesMissing
2007-01 has 904 (24.9%) missing valuesMissing
2007-02 has 904 (24.9%) missing valuesMissing
2007-03 has 904 (24.9%) missing valuesMissing
2007-04 has 904 (24.9%) missing valuesMissing
2007-05 has 904 (24.9%) missing valuesMissing
2007-06 has 904 (24.9%) missing valuesMissing
2007-07 has 904 (24.9%) missing valuesMissing
2007-08 has 904 (24.9%) missing valuesMissing
2007-09 has 904 (24.9%) missing valuesMissing
2007-10 has 904 (24.9%) missing valuesMissing
2007-11 has 904 (24.9%) missing valuesMissing
2007-12 has 904 (24.9%) missing valuesMissing
2008-01 has 904 (24.9%) missing valuesMissing
2008-02 has 904 (24.9%) missing valuesMissing
2008-03 has 904 (24.9%) missing valuesMissing
2008-04 has 904 (24.9%) missing valuesMissing
2008-05 has 904 (24.9%) missing valuesMissing
2008-06 has 884 (24.4%) missing valuesMissing
2008-07 has 884 (24.4%) missing valuesMissing
2008-08 has 884 (24.4%) missing valuesMissing
2008-09 has 884 (24.4%) missing valuesMissing
2008-10 has 884 (24.4%) missing valuesMissing
2008-11 has 884 (24.4%) missing valuesMissing
2008-12 has 884 (24.4%) missing valuesMissing
2009-01 has 884 (24.4%) missing valuesMissing
2009-02 has 884 (24.4%) missing valuesMissing
2009-03 has 884 (24.4%) missing valuesMissing
2009-04 has 884 (24.4%) missing valuesMissing
2009-05 has 884 (24.4%) missing valuesMissing
2009-06 has 884 (24.4%) missing valuesMissing
2009-07 has 884 (24.4%) missing valuesMissing
2009-08 has 884 (24.4%) missing valuesMissing
2009-09 has 884 (24.4%) missing valuesMissing
2009-10 has 884 (24.4%) missing valuesMissing
2009-11 has 884 (24.4%) missing valuesMissing
2009-12 has 884 (24.4%) missing valuesMissing
2010-01 has 884 (24.4%) missing valuesMissing
2010-02 has 884 (24.4%) missing valuesMissing
2010-03 has 884 (24.4%) missing valuesMissing
2010-04 has 884 (24.4%) missing valuesMissing
2010-05 has 884 (24.4%) missing valuesMissing
2010-06 has 884 (24.4%) missing valuesMissing
2010-07 has 854 (23.6%) missing valuesMissing
2010-08 has 854 (23.6%) missing valuesMissing
2010-09 has 854 (23.6%) missing valuesMissing
2010-10 has 854 (23.6%) missing valuesMissing
2010-11 has 854 (23.6%) missing valuesMissing
2010-12 has 854 (23.6%) missing valuesMissing
2011-01 has 854 (23.6%) missing valuesMissing
2011-02 has 854 (23.6%) missing valuesMissing
2011-03 has 854 (23.6%) missing valuesMissing
2011-04 has 854 (23.6%) missing valuesMissing
2011-05 has 854 (23.6%) missing valuesMissing
2011-06 has 854 (23.6%) missing valuesMissing
2011-07 has 854 (23.6%) missing valuesMissing
2011-08 has 854 (23.6%) missing valuesMissing
2011-09 has 854 (23.6%) missing valuesMissing
2011-10 has 854 (23.6%) missing valuesMissing
2011-11 has 854 (23.6%) missing valuesMissing
2011-12 has 854 (23.6%) missing valuesMissing
2012-01 has 854 (23.6%) missing valuesMissing
2012-02 has 854 (23.6%) missing valuesMissing
2012-03 has 854 (23.6%) missing valuesMissing
2012-04 has 854 (23.6%) missing valuesMissing
2012-05 has 854 (23.6%) missing valuesMissing
2012-06 has 854 (23.6%) missing valuesMissing
2012-07 has 844 (23.3%) missing valuesMissing
2012-08 has 844 (23.3%) missing valuesMissing
2012-09 has 844 (23.3%) missing valuesMissing
2012-10 has 844 (23.3%) missing valuesMissing
2012-11 has 844 (23.3%) missing valuesMissing
2012-12 has 844 (23.3%) missing valuesMissing
2013-01 has 844 (23.3%) missing valuesMissing
2013-02 has 844 (23.3%) missing valuesMissing
2013-03 has 844 (23.3%) missing valuesMissing
2013-04 has 844 (23.3%) missing valuesMissing
2013-05 has 844 (23.3%) missing valuesMissing
2013-06 has 844 (23.3%) missing valuesMissing
2013-07 has 844 (23.3%) missing valuesMissing
2013-08 has 844 (23.3%) missing valuesMissing
2013-09 has 834 (23.0%) missing valuesMissing
2013-10 has 844 (23.3%) missing valuesMissing
2013-11 has 844 (23.3%) missing valuesMissing
2013-12 has 844 (23.3%) missing valuesMissing
2014-01 has 844 (23.3%) missing valuesMissing
2014-02 has 844 (23.3%) missing valuesMissing
2014-03 has 844 (23.3%) missing valuesMissing
2014-04 has 844 (23.3%) missing valuesMissing
2014-05 has 844 (23.3%) missing valuesMissing
2014-06 has 844 (23.3%) missing valuesMissing
2014-07 has 834 (23.0%) missing valuesMissing
2014-08 has 834 (23.0%) missing valuesMissing
2014-09 has 834 (23.0%) missing valuesMissing
2014-10 has 834 (23.0%) missing valuesMissing
2014-11 has 834 (23.0%) missing valuesMissing
2014-12 has 834 (23.0%) missing valuesMissing
2015-01 has 834 (23.0%) missing valuesMissing
2015-02 has 834 (23.0%) missing valuesMissing
2015-03 has 834 (23.0%) missing valuesMissing
2015-04 has 834 (23.0%) missing valuesMissing
2015-05 has 834 (23.0%) missing valuesMissing
2015-06 has 834 (23.0%) missing valuesMissing
2015-07 has 804 (22.2%) missing valuesMissing
2015-08 has 804 (22.2%) missing valuesMissing
2015-09 has 804 (22.2%) missing valuesMissing
2015-10 has 804 (22.2%) missing valuesMissing
2015-11 has 804 (22.2%) missing valuesMissing
2015-12 has 804 (22.2%) missing valuesMissing
2016-01 has 804 (22.2%) missing valuesMissing
2016-02 has 804 (22.2%) missing valuesMissing
2016-03 has 804 (22.2%) missing valuesMissing
2016-04 has 804 (22.2%) missing valuesMissing
2016-05 has 804 (22.2%) missing valuesMissing
2016-06 has 804 (22.2%) missing valuesMissing
2016-07 has 834 (23.0%) missing valuesMissing
2016-08 has 834 (23.0%) missing valuesMissing
2016-09 has 834 (23.0%) missing valuesMissing
2016-10 has 834 (23.0%) missing valuesMissing
2016-11 has 834 (23.0%) missing valuesMissing
2016-12 has 834 (23.0%) missing valuesMissing
2017-01 has 276 (7.6%) missing valuesMissing
2017-02 has 276 (7.6%) missing valuesMissing
2017-03 has 276 (7.6%) missing valuesMissing
2017-04 has 276 (7.6%) missing valuesMissing
2017-05 has 276 (7.6%) missing valuesMissing
2017-06 has 276 (7.6%) missing valuesMissing
2017-07 has 276 (7.6%) missing valuesMissing
2017-08 has 276 (7.6%) missing valuesMissing
2017-09 has 276 (7.6%) missing valuesMissing
2017-10 has 276 (7.6%) missing valuesMissing
2017-11 has 276 (7.6%) missing valuesMissing
2017-12 has 276 (7.6%) missing valuesMissing
2018-01 has 276 (7.6%) missing valuesMissing
2018-02 has 276 (7.6%) missing valuesMissing
2018-03 has 276 (7.6%) missing valuesMissing
2018-04 has 276 (7.6%) missing valuesMissing
2018-05 has 276 (7.6%) missing valuesMissing
2018-06 has 276 (7.6%) missing valuesMissing
2018-07 has 264 (7.3%) missing valuesMissing
2018-08 has 276 (7.6%) missing valuesMissing
2018-09 has 276 (7.6%) missing valuesMissing
2018-10 has 276 (7.6%) missing valuesMissing
2018-11 has 276 (7.6%) missing valuesMissing
2018-12 has 276 (7.6%) missing valuesMissing
2019-01 has 276 (7.6%) missing valuesMissing
2019-02 has 276 (7.6%) missing valuesMissing
2019-03 has 276 (7.6%) missing valuesMissing
2019-04 has 276 (7.6%) missing valuesMissing
2019-05 has 276 (7.6%) missing valuesMissing
2019-06 has 276 (7.6%) missing valuesMissing
2019-07 has 276 (7.6%) missing valuesMissing
2019-08 has 276 (7.6%) missing valuesMissing
2019-09 has 276 (7.6%) missing valuesMissing
2019-10 has 276 (7.6%) missing valuesMissing
2019-11 has 276 (7.6%) missing valuesMissing
2019-12 has 276 (7.6%) missing valuesMissing
2020-01 has 276 (7.6%) missing valuesMissing
2020-02 has 276 (7.6%) missing valuesMissing
2020-03 has 276 (7.6%) missing valuesMissing
2020-04 has 276 (7.6%) missing valuesMissing
2020-05 has 276 (7.6%) missing valuesMissing
2020-06 has 276 (7.6%) missing valuesMissing
2020-07 has 276 (7.6%) missing valuesMissing
2020-08 has 276 (7.6%) missing valuesMissing
2020-09 has 276 (7.6%) missing valuesMissing
2020-10 has 276 (7.6%) missing valuesMissing
2020-11 has 276 (7.6%) missing valuesMissing
2020-12 has 276 (7.6%) missing valuesMissing
2021-01 has 276 (7.6%) missing valuesMissing
2021-02 has 276 (7.6%) missing valuesMissing
2021-03 has 276 (7.6%) missing valuesMissing
2021-04 has 276 (7.6%) missing valuesMissing
2021-05 has 276 (7.6%) missing valuesMissing
2021-06 has 276 (7.6%) missing valuesMissing
2021-07 has 276 (7.6%) missing valuesMissing
2021-08 has 276 (7.6%) missing valuesMissing
2021-09 has 276 (7.6%) missing valuesMissing
2021-10 has 276 (7.6%) missing valuesMissing
2021-11 has 276 (7.6%) missing valuesMissing
2021-12 has 276 (7.6%) missing valuesMissing
2022-01 has 276 (7.6%) missing valuesMissing
2022-02 has 276 (7.6%) missing valuesMissing
2022-03 has 276 (7.6%) missing valuesMissing
2022-04 has 276 (7.6%) missing valuesMissing
2022-05 has 276 (7.6%) missing valuesMissing
2022-06 has 276 (7.6%) missing valuesMissing
2022-07 has 276 (7.6%) missing valuesMissing
2022-08 has 276 (7.6%) missing valuesMissing
2022-09 has 276 (7.6%) missing valuesMissing
2022-10 has 276 (7.6%) missing valuesMissing
2022-11 has 276 (7.6%) missing valuesMissing
2022-12 has 276 (7.6%) missing valuesMissing
2023-01 has 276 (7.6%) missing valuesMissing
2023-02 has 276 (7.6%) missing valuesMissing
2023-03 has 276 (7.6%) missing valuesMissing
2023-04 has 276 (7.6%) missing valuesMissing
2023-05 has 276 (7.6%) missing valuesMissing
2023-06 has 276 (7.6%) missing valuesMissing
2023-07 has 276 (7.6%) missing valuesMissing
2023-08 has 276 (7.6%) missing valuesMissing
2023-09 has 276 (7.6%) missing valuesMissing
2023-10 has 276 (7.6%) missing valuesMissing
2023-11 has 276 (7.6%) missing valuesMissing
2023-12 has 276 (7.6%) missing valuesMissing
2024-01 has 240 (6.6%) missing valuesMissing
2006-01 is highly skewed (γ1 = 25.62534249)Skewed
2006-02 is highly skewed (γ1 = 27.11240856)Skewed
2006-03 is highly skewed (γ1 = 26.75597113)Skewed
2006-04 is highly skewed (γ1 = 26.79270172)Skewed
2006-05 is highly skewed (γ1 = 26.58519863)Skewed
2006-06 is highly skewed (γ1 = 26.81750837)Skewed
2006-07 is highly skewed (γ1 = 27.21608968)Skewed
2006-08 is highly skewed (γ1 = 27.26139383)Skewed
2006-09 is highly skewed (γ1 = 26.2437897)Skewed
2006-10 is highly skewed (γ1 = 25.50862614)Skewed
2006-11 is highly skewed (γ1 = 25.48760297)Skewed
2006-12 is highly skewed (γ1 = 27.3461898)Skewed
2007-01 is highly skewed (γ1 = 27.02228321)Skewed
2007-02 is highly skewed (γ1 = 27.46925982)Skewed
2007-03 is highly skewed (γ1 = 28.00564459)Skewed
2007-04 is highly skewed (γ1 = 27.85794055)Skewed
2007-05 is highly skewed (γ1 = 26.98418026)Skewed
2007-06 is highly skewed (γ1 = 28.16063933)Skewed
2007-07 is highly skewed (γ1 = 27.0462045)Skewed
2007-08 is highly skewed (γ1 = 26.81515572)Skewed
2007-09 is highly skewed (γ1 = 25.56695428)Skewed
2007-10 is highly skewed (γ1 = 27.23257553)Skewed
2007-11 is highly skewed (γ1 = 27.18574477)Skewed
2007-12 is highly skewed (γ1 = 27.92795032)Skewed
2008-01 is highly skewed (γ1 = 27.95229723)Skewed
2008-02 is highly skewed (γ1 = 27.82045828)Skewed
2008-03 is highly skewed (γ1 = 27.85506221)Skewed
2008-04 is highly skewed (γ1 = 27.22939293)Skewed
2008-05 is highly skewed (γ1 = 27.4976454)Skewed
2008-06 is highly skewed (γ1 = 27.88555186)Skewed
2008-07 is highly skewed (γ1 = 27.78832643)Skewed
2008-08 is highly skewed (γ1 = 28.22633088)Skewed
2008-09 is highly skewed (γ1 = 28.23059125)Skewed
2008-10 is highly skewed (γ1 = 28.07215835)Skewed
2008-11 is highly skewed (γ1 = 27.97434736)Skewed
2008-12 is highly skewed (γ1 = 28.28698704)Skewed
2009-01 is highly skewed (γ1 = 27.59657071)Skewed
2009-02 is highly skewed (γ1 = 27.3494046)Skewed
2009-03 is highly skewed (γ1 = 27.52694556)Skewed
2009-04 is highly skewed (γ1 = 27.31909989)Skewed
2009-05 is highly skewed (γ1 = 27.04306976)Skewed
2009-06 is highly skewed (γ1 = 27.35719283)Skewed
2009-07 is highly skewed (γ1 = 27.26315914)Skewed
2009-08 is highly skewed (γ1 = 27.27408961)Skewed
2009-09 is highly skewed (γ1 = 27.01595689)Skewed
2009-10 is highly skewed (γ1 = 27.56854276)Skewed
2009-11 is highly skewed (γ1 = 27.62868359)Skewed
2009-12 is highly skewed (γ1 = 28.03828125)Skewed
2010-01 is highly skewed (γ1 = 27.78874889)Skewed
2010-02 is highly skewed (γ1 = 27.84206773)Skewed
2010-03 is highly skewed (γ1 = 26.01054339)Skewed
2010-04 is highly skewed (γ1 = 28.21453561)Skewed
2010-05 is highly skewed (γ1 = 28.10793942)Skewed
2010-06 is highly skewed (γ1 = 28.13806536)Skewed
2010-07 is highly skewed (γ1 = 28.68845122)Skewed
2010-08 is highly skewed (γ1 = 28.57873552)Skewed
2010-09 is highly skewed (γ1 = 28.30275055)Skewed
2010-10 is highly skewed (γ1 = 28.13074345)Skewed
2010-11 is highly skewed (γ1 = 27.65947299)Skewed
2010-12 is highly skewed (γ1 = 27.87469794)Skewed
2011-01 is highly skewed (γ1 = 27.52008619)Skewed
2011-02 is highly skewed (γ1 = 27.88657913)Skewed
2011-03 is highly skewed (γ1 = 27.87399634)Skewed
2011-04 is highly skewed (γ1 = 28.42988761)Skewed
2011-05 is highly skewed (γ1 = 28.608664)Skewed
2011-06 is highly skewed (γ1 = 28.91141068)Skewed
2011-07 is highly skewed (γ1 = 28.62720246)Skewed
2011-08 is highly skewed (γ1 = 28.51721409)Skewed
2011-09 is highly skewed (γ1 = 28.26911252)Skewed
2011-10 is highly skewed (γ1 = 28.27819919)Skewed
2011-11 is highly skewed (γ1 = 28.48823502)Skewed
2011-12 is highly skewed (γ1 = 28.44892058)Skewed
2012-01 is highly skewed (γ1 = 29.34576504)Skewed
2012-02 is highly skewed (γ1 = 29.24586431)Skewed
2012-03 is highly skewed (γ1 = 28.97876054)Skewed
2012-04 is highly skewed (γ1 = 28.88905706)Skewed
2012-05 is highly skewed (γ1 = 28.84723476)Skewed
2012-06 is highly skewed (γ1 = 29.13372944)Skewed
2012-07 is highly skewed (γ1 = 29.36350087)Skewed
2012-08 is highly skewed (γ1 = 27.79430103)Skewed
2012-09 is highly skewed (γ1 = 21.46907936)Skewed
2012-10 is highly skewed (γ1 = 28.35677537)Skewed
2012-11 is highly skewed (γ1 = 28.51678046)Skewed
2012-12 is highly skewed (γ1 = 28.11855434)Skewed
2013-01 is highly skewed (γ1 = 29.39733013)Skewed
2013-02 is highly skewed (γ1 = 28.83689895)Skewed
2013-03 is highly skewed (γ1 = 29.18224741)Skewed
2013-04 is highly skewed (γ1 = 28.71203134)Skewed
2013-05 is highly skewed (γ1 = 28.38418795)Skewed
2013-06 is highly skewed (γ1 = 27.91509424)Skewed
2013-07 is highly skewed (γ1 = 28.95887656)Skewed
2013-08 is highly skewed (γ1 = 28.98519713)Skewed
2013-09 is highly skewed (γ1 = 28.57829139)Skewed
2013-10 is highly skewed (γ1 = 27.92906647)Skewed
2013-11 is highly skewed (γ1 = 28.00925115)Skewed
2013-12 is highly skewed (γ1 = 28.28481438)Skewed
2014-01 is highly skewed (γ1 = 28.03331774)Skewed
2014-02 is highly skewed (γ1 = 27.59278417)Skewed
2014-03 is highly skewed (γ1 = 28.33591782)Skewed
2014-04 is highly skewed (γ1 = 28.30749786)Skewed
2014-05 is highly skewed (γ1 = 28.55173428)Skewed
2014-06 is highly skewed (γ1 = 28.62255882)Skewed
2014-07 is highly skewed (γ1 = 28.40232245)Skewed
2014-08 is highly skewed (γ1 = 28.33046435)Skewed
2014-09 is highly skewed (γ1 = 28.12701403)Skewed
2014-10 is highly skewed (γ1 = 27.35172386)Skewed
2014-11 is highly skewed (γ1 = 28.15997809)Skewed
2014-12 is highly skewed (γ1 = 28.78147142)Skewed
2015-01 is highly skewed (γ1 = 28.03546122)Skewed
2015-02 is highly skewed (γ1 = 28.13468016)Skewed
2015-03 is highly skewed (γ1 = 27.71378086)Skewed
2015-04 is highly skewed (γ1 = 27.65316207)Skewed
2015-05 is highly skewed (γ1 = 27.94457607)Skewed
2015-06 is highly skewed (γ1 = 28.50911788)Skewed
2015-07 is highly skewed (γ1 = 28.8104183)Skewed
2015-08 is highly skewed (γ1 = 28.2178212)Skewed
2015-09 is highly skewed (γ1 = 21.7079617)Skewed
2015-10 is highly skewed (γ1 = 28.15391546)Skewed
2015-11 is highly skewed (γ1 = 28.09557806)Skewed
2015-12 is highly skewed (γ1 = 28.59340787)Skewed
2016-01 is highly skewed (γ1 = 28.99906183)Skewed
2016-02 is highly skewed (γ1 = 28.92796635)Skewed
2016-03 is highly skewed (γ1 = 28.83729868)Skewed
2016-04 is highly skewed (γ1 = 28.49018907)Skewed
2016-05 is highly skewed (γ1 = 28.24788011)Skewed
2016-06 is highly skewed (γ1 = 28.16572564)Skewed
2016-07 is highly skewed (γ1 = 27.70488469)Skewed
2016-08 is highly skewed (γ1 = 27.61911761)Skewed
2016-09 is highly skewed (γ1 = 27.59037215)Skewed
2016-10 is highly skewed (γ1 = 27.28935922)Skewed
2016-11 is highly skewed (γ1 = 27.77711713)Skewed
2016-12 is highly skewed (γ1 = 27.8535719)Skewed
2017-01 is highly skewed (γ1 = 30.56465068)Skewed
2017-02 is highly skewed (γ1 = 30.59320681)Skewed
2017-03 is highly skewed (γ1 = 30.6407504)Skewed
2017-04 is highly skewed (γ1 = 30.05509946)Skewed
2017-05 is highly skewed (γ1 = 29.93511479)Skewed
2017-06 is highly skewed (γ1 = 29.61576542)Skewed
2017-07 is highly skewed (γ1 = 29.24225776)Skewed
2017-08 is highly skewed (γ1 = 29.10321284)Skewed
2017-09 is highly skewed (γ1 = 29.33673833)Skewed
2017-10 is highly skewed (γ1 = 28.94568945)Skewed
2017-11 is highly skewed (γ1 = 29.4588174)Skewed
2017-12 is highly skewed (γ1 = 29.43452414)Skewed
2018-01 is highly skewed (γ1 = 29.26711369)Skewed
2018-02 is highly skewed (γ1 = 28.8876697)Skewed
2018-03 is highly skewed (γ1 = 28.95698659)Skewed
2018-04 is highly skewed (γ1 = 29.14639522)Skewed
2018-05 is highly skewed (γ1 = 28.88226274)Skewed
2018-06 is highly skewed (γ1 = 29.56136811)Skewed
2018-07 is highly skewed (γ1 = 28.43160211)Skewed
2018-08 is highly skewed (γ1 = 28.68271411)Skewed
2018-09 is highly skewed (γ1 = 28.04902816)Skewed
2018-10 is highly skewed (γ1 = 28.20745518)Skewed
2018-11 is highly skewed (γ1 = 29.13097144)Skewed
2018-12 is highly skewed (γ1 = 31.38044485)Skewed
2019-01 is highly skewed (γ1 = 29.45153822)Skewed
2019-02 is highly skewed (γ1 = 29.27357697)Skewed
2019-03 is highly skewed (γ1 = 29.49852389)Skewed
2019-04 is highly skewed (γ1 = 29.29993277)Skewed
2019-05 is highly skewed (γ1 = 29.91408233)Skewed
2019-06 is highly skewed (γ1 = 30.03218956)Skewed
2019-07 is highly skewed (γ1 = 29.32365688)Skewed
2019-08 is highly skewed (γ1 = 29.34140254)Skewed
2019-09 is highly skewed (γ1 = 29.31177906)Skewed
2019-10 is highly skewed (γ1 = 29.01659927)Skewed
2019-11 is highly skewed (γ1 = 29.35533211)Skewed
2019-12 is highly skewed (γ1 = 29.95744725)Skewed
2020-01 is highly skewed (γ1 = 28.91598291)Skewed
2020-02 is highly skewed (γ1 = 28.4464606)Skewed
2020-03 is highly skewed (γ1 = 28.9351057)Skewed
2020-04 is highly skewed (γ1 = 29.89537443)Skewed
2020-05 is highly skewed (γ1 = 29.91584827)Skewed
2020-06 is highly skewed (γ1 = 29.25916294)Skewed
2020-07 is highly skewed (γ1 = 29.28927916)Skewed
2020-08 is highly skewed (γ1 = 29.65191489)Skewed
2020-09 is highly skewed (γ1 = 30.08993816)Skewed
2020-10 is highly skewed (γ1 = 29.5176273)Skewed
2020-11 is highly skewed (γ1 = 30.03456525)Skewed
2020-12 is highly skewed (γ1 = 29.83999947)Skewed
2021-01 is highly skewed (γ1 = 29.99673712)Skewed
2021-02 is highly skewed (γ1 = 29.81544104)Skewed
2021-03 is highly skewed (γ1 = 30.55373634)Skewed
2021-04 is highly skewed (γ1 = 30.25746724)Skewed
2021-05 is highly skewed (γ1 = 30.3097773)Skewed
2021-06 is highly skewed (γ1 = 30.60536477)Skewed
2021-07 is highly skewed (γ1 = 30.39420522)Skewed
2021-08 is highly skewed (γ1 = 30.39522826)Skewed
2021-09 is highly skewed (γ1 = 30.54146268)Skewed
2021-10 is highly skewed (γ1 = 30.81884399)Skewed
2021-11 is highly skewed (γ1 = 31.84227913)Skewed
2021-12 is highly skewed (γ1 = 32.27465722)Skewed
2022-01 is highly skewed (γ1 = 31.26253256)Skewed
2022-02 is highly skewed (γ1 = 31.44686824)Skewed
2022-03 is highly skewed (γ1 = 32.35173643)Skewed
2022-04 is highly skewed (γ1 = 30.49196372)Skewed
2022-05 is highly skewed (γ1 = 31.7054423)Skewed
2022-06 is highly skewed (γ1 = 31.55086836)Skewed
2022-07 is highly skewed (γ1 = 31.90699538)Skewed
2022-08 is highly skewed (γ1 = 30.82231004)Skewed
2022-09 is highly skewed (γ1 = 32.51962073)Skewed
2022-10 is highly skewed (γ1 = 31.57352245)Skewed
2022-11 is highly skewed (γ1 = 32.12579079)Skewed
2022-12 is highly skewed (γ1 = 30.39115585)Skewed
2023-01 is highly skewed (γ1 = 30.98368581)Skewed
2023-02 is highly skewed (γ1 = 30.02538969)Skewed
2023-03 is highly skewed (γ1 = 30.79674792)Skewed
2023-04 is highly skewed (γ1 = 30.21811645)Skewed
2023-05 is highly skewed (γ1 = 30.15250365)Skewed
2023-06 is highly skewed (γ1 = 30.11048851)Skewed
2023-07 is highly skewed (γ1 = 30.3307118)Skewed
2023-08 is highly skewed (γ1 = 30.16079963)Skewed
2023-09 is highly skewed (γ1 = 30.09351754)Skewed
2023-10 is highly skewed (γ1 = 30.38091314)Skewed
2023-11 is highly skewed (γ1 = 31.28907824)Skewed
2023-12 is highly skewed (γ1 = 30.79854842)Skewed
2024-01 is highly skewed (γ1 = 30.26049205)Skewed
지역 및 건물용도 has unique valuesUnique
2006-01 has 908 (25.1%) zerosZeros
2006-02 has 753 (20.8%) zerosZeros
2006-03 has 648 (17.9%) zerosZeros
2006-04 has 728 (20.1%) zerosZeros
2006-05 has 662 (18.3%) zerosZeros
2006-06 has 730 (20.1%) zerosZeros
2006-07 has 741 (20.4%) zerosZeros
2006-08 has 770 (21.2%) zerosZeros
2006-09 has 660 (18.2%) zerosZeros
2006-10 has 689 (19.0%) zerosZeros
2006-11 has 625 (17.2%) zerosZeros
2006-12 has 556 (15.3%) zerosZeros
2007-01 has 686 (18.9%) zerosZeros
2007-02 has 724 (20.0%) zerosZeros
2007-03 has 667 (18.4%) zerosZeros
2007-04 has 636 (17.5%) zerosZeros
2007-05 has 661 (18.2%) zerosZeros
2007-06 has 711 (19.6%) zerosZeros
2007-07 has 712 (19.6%) zerosZeros
2007-08 has 694 (19.2%) zerosZeros
2007-09 has 814 (22.5%) zerosZeros
2007-10 has 643 (17.7%) zerosZeros
2007-11 has 671 (18.5%) zerosZeros
2007-12 has 694 (19.2%) zerosZeros
2008-01 has 711 (19.6%) zerosZeros
2008-02 has 759 (20.9%) zerosZeros
2008-03 has 664 (18.3%) zerosZeros
2008-04 has 629 (17.4%) zerosZeros
2008-05 has 641 (17.7%) zerosZeros
2008-06 has 627 (17.3%) zerosZeros
2008-07 has 609 (16.8%) zerosZeros
2008-08 has 698 (19.3%) zerosZeros
2008-09 has 705 (19.5%) zerosZeros
2008-10 has 690 (19.0%) zerosZeros
2008-11 has 794 (21.9%) zerosZeros
2008-12 has 773 (21.3%) zerosZeros
2009-01 has 917 (25.3%) zerosZeros
2009-02 has 824 (22.7%) zerosZeros
2009-03 has 691 (19.1%) zerosZeros
2009-04 has 707 (19.5%) zerosZeros
2009-05 has 709 (19.6%) zerosZeros
2009-06 has 652 (18.0%) zerosZeros
2009-07 has 643 (17.7%) zerosZeros
2009-08 has 703 (19.4%) zerosZeros
2009-09 has 630 (17.4%) zerosZeros
2009-10 has 624 (17.2%) zerosZeros
2009-11 has 661 (18.2%) zerosZeros
2009-12 has 606 (16.7%) zerosZeros
2010-01 has 758 (20.9%) zerosZeros
2010-02 has 721 (19.9%) zerosZeros
2010-03 has 617 (17.0%) zerosZeros
2010-04 has 632 (17.4%) zerosZeros
2010-05 has 679 (18.7%) zerosZeros
2010-06 has 667 (18.4%) zerosZeros
2010-07 has 677 (18.7%) zerosZeros
2010-08 has 733 (20.2%) zerosZeros
2010-09 has 790 (21.8%) zerosZeros
2010-10 has 686 (18.9%) zerosZeros
2010-11 has 655 (18.1%) zerosZeros
2010-12 has 580 (16.0%) zerosZeros
2011-01 has 768 (21.2%) zerosZeros
2011-02 has 771 (21.3%) zerosZeros
2011-03 has 567 (15.6%) zerosZeros
2011-04 has 570 (15.7%) zerosZeros
2011-05 has 575 (15.9%) zerosZeros
2011-06 has 552 (15.2%) zerosZeros
2011-07 has 624 (17.2%) zerosZeros
2011-08 has 604 (16.7%) zerosZeros
2011-09 has 629 (17.4%) zerosZeros
2011-10 has 601 (16.6%) zerosZeros
2011-11 has 588 (16.2%) zerosZeros
2011-12 has 533 (14.7%) zerosZeros
2012-01 has 789 (21.8%) zerosZeros
2012-02 has 663 (18.3%) zerosZeros
2012-03 has 585 (16.1%) zerosZeros
2012-04 has 591 (16.3%) zerosZeros
2012-05 has 603 (16.6%) zerosZeros
2012-06 has 615 (17.0%) zerosZeros
2012-07 has 607 (16.7%) zerosZeros
2012-08 has 679 (18.7%) zerosZeros
2012-09 has 722 (19.9%) zerosZeros
2012-10 has 646 (17.8%) zerosZeros
2012-11 has 603 (16.6%) zerosZeros
2012-12 has 576 (15.9%) zerosZeros
2013-01 has 819 (22.6%) zerosZeros
2013-02 has 734 (20.3%) zerosZeros
2013-03 has 621 (17.1%) zerosZeros
2013-04 has 574 (15.8%) zerosZeros
2013-05 has 558 (15.4%) zerosZeros
2013-06 has 529 (14.6%) zerosZeros
2013-07 has 689 (19.0%) zerosZeros
2013-08 has 693 (19.1%) zerosZeros
2013-09 has 702 (19.4%) zerosZeros
2013-10 has 573 (15.8%) zerosZeros
2013-11 has 592 (16.3%) zerosZeros
2013-12 has 563 (15.5%) zerosZeros
2014-01 has 668 (18.4%) zerosZeros
2014-02 has 634 (17.5%) zerosZeros
2014-03 has 560 (15.5%) zerosZeros
2014-04 has 537 (14.8%) zerosZeros
2014-05 has 579 (16.0%) zerosZeros
2014-06 has 582 (16.1%) zerosZeros
2014-07 has 561 (15.5%) zerosZeros
2014-08 has 622 (17.2%) zerosZeros
2014-09 has 584 (16.1%) zerosZeros
2014-10 has 531 (14.7%) zerosZeros
2014-11 has 571 (15.8%) zerosZeros
2014-12 has 545 (15.0%) zerosZeros
2015-01 has 590 (16.3%) zerosZeros
2015-02 has 625 (17.2%) zerosZeros
2015-03 has 526 (14.5%) zerosZeros
2015-04 has 495 (13.7%) zerosZeros
2015-05 has 576 (15.9%) zerosZeros
2015-06 has 515 (14.2%) zerosZeros
2015-07 has 491 (13.5%) zerosZeros
2015-08 has 529 (14.6%) zerosZeros
2015-09 has 571 (15.8%) zerosZeros
2015-10 has 505 (13.9%) zerosZeros
2015-11 has 526 (14.5%) zerosZeros
2015-12 has 508 (14.0%) zerosZeros
2016-01 has 595 (16.4%) zerosZeros
2016-02 has 623 (17.2%) zerosZeros
2016-03 has 514 (14.2%) zerosZeros
2016-04 has 541 (14.9%) zerosZeros
2016-05 has 540 (14.9%) zerosZeros
2016-06 has 522 (14.4%) zerosZeros
2016-07 has 548 (15.1%) zerosZeros
2016-08 has 554 (15.3%) zerosZeros
2016-09 has 567 (15.6%) zerosZeros
2016-10 has 527 (14.5%) zerosZeros
2016-11 has 521 (14.4%) zerosZeros
2016-12 has 514 (14.2%) zerosZeros
2017-01 has 811 (22.4%) zerosZeros
2017-02 has 801 (22.1%) zerosZeros
2017-03 has 709 (19.6%) zerosZeros
2017-04 has 739 (20.4%) zerosZeros
2017-05 has 705 (19.5%) zerosZeros
2017-06 has 703 (19.4%) zerosZeros
2017-07 has 741 (20.4%) zerosZeros
2017-08 has 737 (20.3%) zerosZeros
2017-09 has 732 (20.2%) zerosZeros
2017-10 has 825 (22.8%) zerosZeros
2017-11 has 747 (20.6%) zerosZeros
2017-12 has 745 (20.6%) zerosZeros
2018-01 has 802 (22.1%) zerosZeros
2018-02 has 854 (23.6%) zerosZeros
2018-03 has 771 (21.3%) zerosZeros
2018-04 has 770 (21.2%) zerosZeros
2018-05 has 792 (21.9%) zerosZeros
2018-06 has 823 (22.7%) zerosZeros
2018-07 has 811 (22.4%) zerosZeros
2018-08 has 865 (23.9%) zerosZeros
2018-09 has 900 (24.8%) zerosZeros
2018-10 has 791 (21.8%) zerosZeros
2018-11 has 770 (21.2%) zerosZeros
2018-12 has 765 (21.1%) zerosZeros
2019-01 has 793 (21.9%) zerosZeros
2019-02 has 892 (24.6%) zerosZeros
2019-03 has 788 (21.7%) zerosZeros
2019-04 has 757 (20.9%) zerosZeros
2019-05 has 760 (21.0%) zerosZeros
2019-06 has 814 (22.5%) zerosZeros
2019-07 has 765 (21.1%) zerosZeros
2019-08 has 790 (21.8%) zerosZeros
2019-09 has 847 (23.4%) zerosZeros
2019-10 has 755 (20.8%) zerosZeros
2019-11 has 764 (21.1%) zerosZeros
2019-12 has 683 (18.8%) zerosZeros
2020-01 has 768 (21.2%) zerosZeros
2020-02 has 694 (19.2%) zerosZeros
2020-03 has 683 (18.8%) zerosZeros
2020-04 has 759 (20.9%) zerosZeros
2020-05 has 754 (20.8%) zerosZeros
2020-06 has 646 (17.8%) zerosZeros
2020-07 has 649 (17.9%) zerosZeros
2020-08 has 738 (20.4%) zerosZeros
2020-09 has 720 (19.9%) zerosZeros
2020-10 has 745 (20.6%) zerosZeros
2020-11 has 687 (19.0%) zerosZeros
2020-12 has 582 (16.1%) zerosZeros
2021-01 has 698 (19.3%) zerosZeros
2021-02 has 728 (20.1%) zerosZeros
2021-03 has 571 (15.8%) zerosZeros
2021-04 has 593 (16.4%) zerosZeros
2021-05 has 633 (17.5%) zerosZeros
2021-06 has 651 (18.0%) zerosZeros
2021-07 has 651 (18.0%) zerosZeros
2021-08 has 655 (18.1%) zerosZeros
2021-09 has 707 (19.5%) zerosZeros
2021-10 has 688 (19.0%) zerosZeros
2021-11 has 672 (18.5%) zerosZeros
2021-12 has 670 (18.5%) zerosZeros
2022-01 has 787 (21.7%) zerosZeros
2022-02 has 810 (22.4%) zerosZeros
2022-03 has 705 (19.5%) zerosZeros
2022-04 has 695 (19.2%) zerosZeros
2022-05 has 682 (18.8%) zerosZeros
2022-06 has 736 (20.3%) zerosZeros
2022-07 has 828 (22.8%) zerosZeros
2022-08 has 855 (23.6%) zerosZeros
2022-09 has 881 (24.3%) zerosZeros
2022-10 has 909 (25.1%) zerosZeros
2022-11 has 898 (24.8%) zerosZeros
2022-12 has 900 (24.8%) zerosZeros
2023-01 has 1152 (31.8%) zerosZeros
2023-02 has 1003 (27.7%) zerosZeros
2023-03 has 902 (24.9%) zerosZeros
2023-04 has 925 (25.5%) zerosZeros
2023-05 has 905 (25.0%) zerosZeros
2023-06 has 880 (24.3%) zerosZeros
2023-07 has 902 (24.9%) zerosZeros
2023-08 has 887 (24.5%) zerosZeros
2023-09 has 934 (25.8%) zerosZeros
2023-10 has 944 (26.0%) zerosZeros
2023-11 has 891 (24.6%) zerosZeros
2023-12 has 934 (25.8%) zerosZeros
2024-01 has 945 (26.1%) zerosZeros

Reproduction

Analysis started2024-03-30 01:15:25.478695
Analysis finished2024-03-30 01:15:29.506442
Duration4.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct3624
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
2024-03-30T01:15:29.828533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length11.034216
Min length3

Characters and Unicode

Total characters39988
Distinct characters161
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3624 ?
Unique (%)100.0%

Sample

1st row전국
2nd row전국 /주거용
3rd row전국 /단독주택
4th row전국 /다가구주택
5th row전국 /다세대주택
ValueCountFrequency (%)
경기 672
 
8.9%
경남 324
 
4.3%
경북 312
 
4.1%
서울 312
 
4.1%
302
 
4.0%
전남 276
 
3.7%
충남 240
 
3.2%
충북 240
 
3.2%
강원 228
 
3.0%
전북 204
 
2.7%
Other values (3129) 4421
58.7%
2024-03-30T01:15:30.887280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4530
 
11.3%
/ 3322
 
8.3%
2074
 
5.2%
2030
 
5.1%
1500
 
3.8%
1344
 
3.4%
1220
 
3.1%
1116
 
2.8%
1068
 
2.7%
1010
 
2.5%
Other values (151) 20774
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31680
79.2%
Space Separator 4530
 
11.3%
Other Punctuation 3322
 
8.3%
Close Punctuation 228
 
0.6%
Open Punctuation 228
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2074
 
6.5%
2030
 
6.4%
1500
 
4.7%
1344
 
4.2%
1220
 
3.9%
1116
 
3.5%
1068
 
3.4%
1010
 
3.2%
966
 
3.0%
906
 
2.9%
Other values (147) 18446
58.2%
Space Separator
ValueCountFrequency (%)
4530
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3322
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31680
79.2%
Common 8308
 
20.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2074
 
6.5%
2030
 
6.4%
1500
 
4.7%
1344
 
4.2%
1220
 
3.9%
1116
 
3.5%
1068
 
3.4%
1010
 
3.2%
966
 
3.0%
906
 
2.9%
Other values (147) 18446
58.2%
Common
ValueCountFrequency (%)
4530
54.5%
/ 3322
40.0%
) 228
 
2.7%
( 228
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31680
79.2%
ASCII 8308
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4530
54.5%
/ 3322
40.0%
) 228
 
2.7%
( 228
 
2.7%
Hangul
ValueCountFrequency (%)
2074
 
6.5%
2030
 
6.4%
1500
 
4.7%
1344
 
4.2%
1220
 
3.9%
1116
 
3.5%
1068
 
3.4%
1010
 
3.2%
966
 
3.0%
906
 
2.9%
Other values (147) 18446
58.2%

2006-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct200
Distinct (%)7.3%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean31.731022
Minimum0
Maximum10132
Zeros908
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:31.320568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile93
Maximum10132
Range10132
Interquartile range (IQR)10

Descriptive statistics

Standard deviation289.72441
Coefficient of variation (CV)9.1306359
Kurtosis760.28482
Mean31.731022
Median Absolute Deviation (MAD)2
Skewness25.625342
Sum86943
Variance83940.232
MonotonicityNot monotonic
2024-03-30T01:15:31.763491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 908
25.1%
1 429
11.8%
2 244
 
6.7%
3 134
 
3.7%
4 92
 
2.5%
5 72
 
2.0%
8 48
 
1.3%
7 47
 
1.3%
6 47
 
1.3%
10 38
 
1.0%
Other values (190) 681
18.8%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 908
25.1%
1 429
11.8%
2 244
 
6.7%
3 134
 
3.7%
4 92
 
2.5%
5 72
 
2.0%
6 47
 
1.3%
7 47
 
1.3%
8 48
 
1.3%
9 31
 
0.9%
ValueCountFrequency (%)
10132 1
< 0.1%
7380 1
< 0.1%
5872 1
< 0.1%
3414 1
< 0.1%
2530 1
< 0.1%
2234 1
< 0.1%
1842 1
< 0.1%
1486 1
< 0.1%
976 1
< 0.1%
817 2
0.1%

2006-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct218
Distinct (%)8.0%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean37.44781
Minimum0
Maximum11974
Zeros753
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:32.219955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile112.1
Maximum11974
Range11974
Interquartile range (IQR)13

Descriptive statistics

Standard deviation328.59312
Coefficient of variation (CV)8.7746952
Kurtosis851.83625
Mean37.44781
Median Absolute Deviation (MAD)2
Skewness27.112409
Sum102607
Variance107973.44
MonotonicityNot monotonic
2024-03-30T01:15:32.738850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 753
20.8%
1 392
10.8%
2 227
 
6.3%
3 150
 
4.1%
4 111
 
3.1%
6 94
 
2.6%
5 90
 
2.5%
7 51
 
1.4%
8 48
 
1.3%
10 42
 
1.2%
Other values (208) 782
21.6%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 753
20.8%
1 392
10.8%
2 227
 
6.3%
3 150
 
4.1%
4 111
 
3.1%
5 90
 
2.5%
6 94
 
2.6%
7 51
 
1.4%
8 48
 
1.3%
9 30
 
0.8%
ValueCountFrequency (%)
11974 1
< 0.1%
8535 1
< 0.1%
6323 1
< 0.1%
3089 1
< 0.1%
2268 1
< 0.1%
2083 1
< 0.1%
2004 1
< 0.1%
1599 1
< 0.1%
1584 1
< 0.1%
1149 1
< 0.1%

2006-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct243
Distinct (%)8.9%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean47.312409
Minimum0
Maximum14968
Zeros648
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:33.242272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q317
95-th percentile137.05
Maximum14968
Range14968
Interquartile range (IQR)16

Descriptive statistics

Standard deviation416.47117
Coefficient of variation (CV)8.802578
Kurtosis828.28386
Mean47.312409
Median Absolute Deviation (MAD)3
Skewness26.755971
Sum129636
Variance173448.23
MonotonicityNot monotonic
2024-03-30T01:15:33.790184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 648
17.9%
1 373
10.3%
2 219
 
6.0%
3 150
 
4.1%
4 127
 
3.5%
5 98
 
2.7%
6 73
 
2.0%
8 70
 
1.9%
7 54
 
1.5%
9 46
 
1.3%
Other values (233) 882
24.3%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 648
17.9%
1 373
10.3%
2 219
 
6.0%
3 150
 
4.1%
4 127
 
3.5%
5 98
 
2.7%
6 73
 
2.0%
7 54
 
1.5%
8 70
 
1.9%
9 46
 
1.3%
ValueCountFrequency (%)
14968 1
< 0.1%
11005 1
< 0.1%
7938 1
< 0.1%
4050 1
< 0.1%
2984 1
< 0.1%
2966 1
< 0.1%
2329 1
< 0.1%
2316 1
< 0.1%
2173 1
< 0.1%
1615 1
< 0.1%

2006-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct217
Distinct (%)7.9%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean41.693066
Minimum0
Maximum13189
Zeros728
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:34.299429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316
95-th percentile115
Maximum13189
Range13189
Interquartile range (IQR)16

Descriptive statistics

Standard deviation365.45822
Coefficient of variation (CV)8.7654437
Kurtosis833.80123
Mean41.693066
Median Absolute Deviation (MAD)3
Skewness26.792702
Sum114239
Variance133559.71
MonotonicityNot monotonic
2024-03-30T01:15:34.993255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 728
20.1%
1 344
 
9.5%
2 225
 
6.2%
3 146
 
4.0%
4 115
 
3.2%
5 105
 
2.9%
8 58
 
1.6%
6 57
 
1.6%
7 56
 
1.5%
9 54
 
1.5%
Other values (207) 852
23.5%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 728
20.1%
1 344
9.5%
2 225
 
6.2%
3 146
 
4.0%
4 115
 
3.2%
5 105
 
2.9%
6 57
 
1.6%
7 56
 
1.5%
8 58
 
1.6%
9 54
 
1.5%
ValueCountFrequency (%)
13189 1
< 0.1%
9681 1
< 0.1%
6700 1
< 0.1%
3647 1
< 0.1%
2702 1
< 0.1%
2643 1
< 0.1%
2046 1
< 0.1%
2007 1
< 0.1%
1940 1
< 0.1%
1516 1
< 0.1%

2006-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct234
Distinct (%)8.5%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean44.95146
Minimum0
Maximum14327
Zeros662
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:35.445843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q317
95-th percentile121
Maximum14327
Range14327
Interquartile range (IQR)16

Descriptive statistics

Standard deviation393.12558
Coefficient of variation (CV)8.7455575
Kurtosis832.43568
Mean44.95146
Median Absolute Deviation (MAD)3
Skewness26.585199
Sum123167
Variance154547.72
MonotonicityNot monotonic
2024-03-30T01:15:35.976004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 662
18.3%
1 349
 
9.6%
2 220
 
6.1%
3 150
 
4.1%
4 107
 
3.0%
5 103
 
2.8%
6 74
 
2.0%
8 65
 
1.8%
7 62
 
1.7%
10 43
 
1.2%
Other values (224) 905
25.0%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 662
18.3%
1 349
9.6%
2 220
 
6.1%
3 150
 
4.1%
4 107
 
3.0%
5 103
 
2.8%
6 74
 
2.0%
7 62
 
1.7%
8 65
 
1.8%
9 41
 
1.1%
ValueCountFrequency (%)
14327 1
< 0.1%
10131 1
< 0.1%
6715 1
< 0.1%
4250 1
< 0.1%
3207 1
< 0.1%
3052 1
< 0.1%
2641 1
< 0.1%
2272 1
< 0.1%
2177 1
< 0.1%
1771 1
< 0.1%

2006-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct212
Distinct (%)7.7%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean38.665693
Minimum0
Maximum12272
Zeros730
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:36.451172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile101
Maximum12272
Range12272
Interquartile range (IQR)15

Descriptive statistics

Standard deviation338.52958
Coefficient of variation (CV)8.7552957
Kurtosis838.17481
Mean38.665693
Median Absolute Deviation (MAD)3
Skewness26.817508
Sum105944
Variance114602.28
MonotonicityNot monotonic
2024-03-30T01:15:37.032346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 730
20.1%
1 347
 
9.6%
2 223
 
6.2%
3 165
 
4.6%
4 107
 
3.0%
5 85
 
2.3%
6 72
 
2.0%
7 69
 
1.9%
8 53
 
1.5%
9 51
 
1.4%
Other values (202) 838
23.1%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 730
20.1%
1 347
9.6%
2 223
 
6.2%
3 165
 
4.6%
4 107
 
3.0%
5 85
 
2.3%
6 72
 
2.0%
7 69
 
1.9%
8 53
 
1.5%
9 51
 
1.4%
ValueCountFrequency (%)
12272 1
< 0.1%
8923 1
< 0.1%
6049 1
< 0.1%
3518 1
< 0.1%
2599 1
< 0.1%
2381 1
< 0.1%
1985 1
< 0.1%
1904 1
< 0.1%
1746 1
< 0.1%
1452 1
< 0.1%

2006-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct199
Distinct (%)7.3%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean33.814706
Minimum0
Maximum10774
Zeros741
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:37.472718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile93.05
Maximum10774
Range10774
Interquartile range (IQR)14

Descriptive statistics

Standard deviation292.25319
Coefficient of variation (CV)8.6427837
Kurtosis867.59886
Mean33.814706
Median Absolute Deviation (MAD)3
Skewness27.21609
Sum91976
Variance85411.927
MonotonicityNot monotonic
2024-03-30T01:15:38.231170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 741
20.4%
1 361
 
10.0%
2 221
 
6.1%
3 167
 
4.6%
4 112
 
3.1%
5 98
 
2.7%
6 66
 
1.8%
7 61
 
1.7%
8 48
 
1.3%
10 40
 
1.1%
Other values (189) 805
22.2%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 741
20.4%
1 361
10.0%
2 221
 
6.1%
3 167
 
4.6%
4 112
 
3.1%
5 98
 
2.7%
6 66
 
1.8%
7 61
 
1.7%
8 48
 
1.3%
9 35
 
1.0%
ValueCountFrequency (%)
10774 1
< 0.1%
7522 1
< 0.1%
5084 1
< 0.1%
2981 1
< 0.1%
2115 1
< 0.1%
1968 1
< 0.1%
1831 1
< 0.1%
1487 1
< 0.1%
1349 1
< 0.1%
1223 1
< 0.1%

2006-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct186
Distinct (%)6.8%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean30.315809
Minimum0
Maximum9703
Zeros770
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:38.848008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile83.05
Maximum9703
Range9703
Interquartile range (IQR)13

Descriptive statistics

Standard deviation261.30844
Coefficient of variation (CV)8.6195438
Kurtosis876.48397
Mean30.315809
Median Absolute Deviation (MAD)2
Skewness27.261394
Sum82459
Variance68282.101
MonotonicityNot monotonic
2024-03-30T01:15:39.500568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 770
21.2%
1 356
 
9.8%
2 242
 
6.7%
3 163
 
4.5%
5 95
 
2.6%
4 90
 
2.5%
6 78
 
2.2%
7 57
 
1.6%
10 46
 
1.3%
8 44
 
1.2%
Other values (176) 779
21.5%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 770
21.2%
1 356
9.8%
2 242
 
6.7%
3 163
 
4.5%
4 90
 
2.5%
5 95
 
2.6%
6 78
 
2.2%
7 57
 
1.6%
8 44
 
1.2%
9 39
 
1.1%
ValueCountFrequency (%)
9703 1
< 0.1%
6677 1
< 0.1%
4268 1
< 0.1%
2746 1
< 0.1%
1941 1
< 0.1%
1855 1
< 0.1%
1769 1
< 0.1%
1392 1
< 0.1%
1296 1
< 0.1%
1154 1
< 0.1%

2006-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct227
Distinct (%)8.3%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean45.403676
Minimum0
Maximum14071
Zeros660
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:40.014924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q317
95-th percentile123.15
Maximum14071
Range14071
Interquartile range (IQR)16

Descriptive statistics

Standard deviation401.27083
Coefficient of variation (CV)8.8378489
Kurtosis793.88226
Mean45.403676
Median Absolute Deviation (MAD)3
Skewness26.24379
Sum123498
Variance161018.28
MonotonicityNot monotonic
2024-03-30T01:15:40.555676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 660
18.2%
1 353
 
9.7%
2 201
 
5.5%
3 158
 
4.4%
4 117
 
3.2%
5 100
 
2.8%
7 87
 
2.4%
6 57
 
1.6%
8 49
 
1.4%
9 46
 
1.3%
Other values (217) 892
24.6%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 660
18.2%
1 353
9.7%
2 201
 
5.5%
3 158
 
4.4%
4 117
 
3.2%
5 100
 
2.8%
6 57
 
1.6%
7 87
 
2.4%
8 49
 
1.4%
9 46
 
1.3%
ValueCountFrequency (%)
14071 1
< 0.1%
10894 1
< 0.1%
7415 1
< 0.1%
4180 1
< 0.1%
3347 1
< 0.1%
2859 1
< 0.1%
2410 1
< 0.1%
2294 1
< 0.1%
1916 1
< 0.1%
1562 1
< 0.1%

2006-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct252
Distinct (%)9.3%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean48.35
Minimum0
Maximum14785
Zeros689
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:41.180993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317
95-th percentile141
Maximum14785
Range14785
Interquartile range (IQR)17

Descriptive statistics

Standard deviation430.69813
Coefficient of variation (CV)8.9079241
Kurtosis751.11541
Mean48.35
Median Absolute Deviation (MAD)3
Skewness25.508626
Sum131512
Variance185500.88
MonotonicityNot monotonic
2024-03-30T01:15:41.742129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 689
19.0%
1 376
10.4%
2 206
 
5.7%
3 157
 
4.3%
4 103
 
2.8%
5 83
 
2.3%
7 74
 
2.0%
6 63
 
1.7%
8 43
 
1.2%
10 38
 
1.0%
Other values (242) 888
24.5%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 689
19.0%
1 376
10.4%
2 206
 
5.7%
3 157
 
4.3%
4 103
 
2.8%
5 83
 
2.3%
6 63
 
1.7%
7 74
 
2.0%
8 43
 
1.2%
9 34
 
0.9%
ValueCountFrequency (%)
14785 1
< 0.1%
11661 1
< 0.1%
8050 1
< 0.1%
4658 1
< 0.1%
3893 1
< 0.1%
3396 1
< 0.1%
2929 1
< 0.1%
2840 1
< 0.1%
1896 1
< 0.1%
1712 1
< 0.1%

2006-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct293
Distinct (%)10.8%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean66.598529
Minimum0
Maximum20299
Zeros625
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:42.209544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q323
95-th percentile192
Maximum20299
Range20299
Interquartile range (IQR)22

Descriptive statistics

Standard deviation594.64619
Coefficient of variation (CV)8.9288187
Kurtosis747.94688
Mean66.598529
Median Absolute Deviation (MAD)4
Skewness25.487603
Sum181148
Variance353604.09
MonotonicityNot monotonic
2024-03-30T01:15:42.667664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 625
17.2%
1 310
 
8.6%
2 193
 
5.3%
3 138
 
3.8%
4 111
 
3.1%
5 97
 
2.7%
6 71
 
2.0%
7 66
 
1.8%
8 63
 
1.7%
9 41
 
1.1%
Other values (283) 1005
27.7%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 625
17.2%
1 310
8.6%
2 193
 
5.3%
3 138
 
3.8%
4 111
 
3.1%
5 97
 
2.7%
6 71
 
2.0%
7 66
 
1.8%
8 63
 
1.7%
9 41
 
1.1%
ValueCountFrequency (%)
20299 1
< 0.1%
16279 1
< 0.1%
10996 1
< 0.1%
6750 1
< 0.1%
5586 1
< 0.1%
4582 1
< 0.1%
3874 1
< 0.1%
3730 1
< 0.1%
2410 1
< 0.1%
2234 1
< 0.1%

2006-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct280
Distinct (%)10.3%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean63.723162
Minimum0
Maximum20516
Zeros556
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:43.112856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q328
95-th percentile174.1
Maximum20516
Range20516
Interquartile range (IQR)27

Descriptive statistics

Standard deviation546.89371
Coefficient of variation (CV)8.5823379
Kurtosis890.75781
Mean63.723162
Median Absolute Deviation (MAD)5
Skewness27.34619
Sum173327
Variance299092.73
MonotonicityNot monotonic
2024-03-30T01:15:43.498246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556
15.3%
1 300
 
8.3%
2 175
 
4.8%
3 132
 
3.6%
4 124
 
3.4%
5 84
 
2.3%
6 82
 
2.3%
7 72
 
2.0%
8 55
 
1.5%
11 49
 
1.4%
Other values (270) 1091
30.1%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 556
15.3%
1 300
8.3%
2 175
 
4.8%
3 132
 
3.6%
4 124
 
3.4%
5 84
 
2.3%
6 82
 
2.3%
7 72
 
2.0%
8 55
 
1.5%
9 32
 
0.9%
ValueCountFrequency (%)
20516 1
< 0.1%
13795 1
< 0.1%
8145 1
< 0.1%
5807 1
< 0.1%
4164 1
< 0.1%
4156 1
< 0.1%
4121 1
< 0.1%
3170 1
< 0.1%
2648 1
< 0.1%
2446 1
< 0.1%

2007-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct219
Distinct (%)8.1%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean40.276838
Minimum0
Maximum12790
Zeros686
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:44.145495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317
95-th percentile111.05
Maximum12790
Range12790
Interquartile range (IQR)17

Descriptive statistics

Standard deviation348.60399
Coefficient of variation (CV)8.6551974
Kurtosis856.61931
Mean40.276838
Median Absolute Deviation (MAD)3
Skewness27.022283
Sum109553
Variance121524.74
MonotonicityNot monotonic
2024-03-30T01:15:44.619752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 686
18.9%
1 352
 
9.7%
2 215
 
5.9%
3 175
 
4.8%
4 113
 
3.1%
5 82
 
2.3%
6 70
 
1.9%
7 62
 
1.7%
8 50
 
1.4%
9 39
 
1.1%
Other values (209) 876
24.2%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 686
18.9%
1 352
9.7%
2 215
 
5.9%
3 175
 
4.8%
4 113
 
3.1%
5 82
 
2.3%
6 70
 
1.9%
7 62
 
1.7%
8 50
 
1.4%
9 39
 
1.1%
ValueCountFrequency (%)
12790 1
< 0.1%
9045 1
< 0.1%
5806 1
< 0.1%
3817 1
< 0.1%
2741 1
< 0.1%
2388 1
< 0.1%
2354 1
< 0.1%
1741 1
< 0.1%
1635 1
< 0.1%
1392 1
< 0.1%

2007-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct190
Distinct (%)7.0%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean32.314706
Minimum0
Maximum10332
Zeros724
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:45.075877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile87.05
Maximum10332
Range10332
Interquartile range (IQR)13

Descriptive statistics

Standard deviation278.28307
Coefficient of variation (CV)8.611654
Kurtosis885.77625
Mean32.314706
Median Absolute Deviation (MAD)3
Skewness27.46926
Sum87896
Variance77441.465
MonotonicityNot monotonic
2024-03-30T01:15:45.570490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 724
20.0%
1 377
10.4%
2 237
 
6.5%
3 161
 
4.4%
4 119
 
3.3%
5 99
 
2.7%
6 63
 
1.7%
8 60
 
1.7%
7 57
 
1.6%
9 42
 
1.2%
Other values (180) 781
21.6%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 724
20.0%
1 377
10.4%
2 237
 
6.5%
3 161
 
4.4%
4 119
 
3.3%
5 99
 
2.7%
6 63
 
1.7%
7 57
 
1.6%
8 60
 
1.7%
9 42
 
1.2%
ValueCountFrequency (%)
10332 1
< 0.1%
7208 1
< 0.1%
4666 1
< 0.1%
2692 1
< 0.1%
1939 1
< 0.1%
1903 1
< 0.1%
1895 1
< 0.1%
1326 1
< 0.1%
1086 1
< 0.1%
1017 1
< 0.1%

2007-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct215
Distinct (%)7.9%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean36.313971
Minimum0
Maximum11815
Zeros667
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:46.037756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314.25
95-th percentile105.05
Maximum11815
Range11815
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation310.99068
Coefficient of variation (CV)8.5639403
Kurtosis927.9215
Mean36.313971
Median Absolute Deviation (MAD)3
Skewness28.005645
Sum98774
Variance96715.201
MonotonicityNot monotonic
2024-03-30T01:15:46.478723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 667
18.4%
1 369
10.2%
2 200
 
5.5%
3 171
 
4.7%
4 126
 
3.5%
5 84
 
2.3%
6 77
 
2.1%
7 61
 
1.7%
8 55
 
1.5%
9 47
 
1.3%
Other values (205) 863
23.8%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 667
18.4%
1 369
10.2%
2 200
 
5.5%
3 171
 
4.7%
4 126
 
3.5%
5 84
 
2.3%
6 77
 
2.1%
7 61
 
1.7%
8 55
 
1.5%
9 47
 
1.3%
ValueCountFrequency (%)
11815 1
< 0.1%
7795 1
< 0.1%
4995 1
< 0.1%
2895 1
< 0.1%
2528 1
< 0.1%
2153 1
< 0.1%
1922 1
< 0.1%
1230 1
< 0.1%
1205 1
< 0.1%
1178 1
< 0.1%

2007-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct207
Distinct (%)7.6%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean34.821324
Minimum0
Maximum11243
Zeros636
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:46.911048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile92.05
Maximum11243
Range11243
Interquartile range (IQR)14

Descriptive statistics

Standard deviation299.95316
Coefficient of variation (CV)8.6140655
Kurtosis910.37998
Mean34.821324
Median Absolute Deviation (MAD)3
Skewness27.857941
Sum94714
Variance89971.899
MonotonicityNot monotonic
2024-03-30T01:15:47.359015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 636
17.5%
1 384
10.6%
2 207
 
5.7%
3 159
 
4.4%
4 131
 
3.6%
5 94
 
2.6%
6 80
 
2.2%
7 60
 
1.7%
8 53
 
1.5%
10 47
 
1.3%
Other values (197) 869
24.0%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 636
17.5%
1 384
10.6%
2 207
 
5.7%
3 159
 
4.4%
4 131
 
3.6%
5 94
 
2.6%
6 80
 
2.2%
7 60
 
1.7%
8 53
 
1.5%
9 45
 
1.2%
ValueCountFrequency (%)
11243 1
< 0.1%
7789 1
< 0.1%
4865 1
< 0.1%
2836 1
< 0.1%
2163 1
< 0.1%
2004 1
< 0.1%
1889 1
< 0.1%
1272 1
< 0.1%
1270 1
< 0.1%
1213 1
< 0.1%

2007-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct211
Distinct (%)7.8%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean39.153676
Minimum0
Maximum12726
Zeros661
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:47.795560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile101
Maximum12726
Range12726
Interquartile range (IQR)14

Descriptive statistics

Standard deviation342.93926
Coefficient of variation (CV)8.7588009
Kurtosis868.42399
Mean39.153676
Median Absolute Deviation (MAD)3
Skewness26.98418
Sum106498
Variance117607.33
MonotonicityNot monotonic
2024-03-30T01:15:48.354570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 661
18.2%
1 361
 
10.0%
2 217
 
6.0%
3 148
 
4.1%
4 131
 
3.6%
5 90
 
2.5%
6 71
 
2.0%
7 70
 
1.9%
9 65
 
1.8%
8 50
 
1.4%
Other values (201) 856
23.6%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 661
18.2%
1 361
10.0%
2 217
 
6.0%
3 148
 
4.1%
4 131
 
3.6%
5 90
 
2.5%
6 71
 
2.0%
7 70
 
1.9%
8 50
 
1.4%
9 65
 
1.8%
ValueCountFrequency (%)
12726 1
< 0.1%
8666 1
< 0.1%
5770 1
< 0.1%
2763 1
< 0.1%
2613 1
< 0.1%
2139 1
< 0.1%
2055 1
< 0.1%
1804 1
< 0.1%
1738 1
< 0.1%
1604 1
< 0.1%

2007-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct191
Distinct (%)7.0%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean32.285294
Minimum0
Maximum10617
Zeros711
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:48.811302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile86
Maximum10617
Range10617
Interquartile range (IQR)15

Descriptive statistics

Standard deviation276.82627
Coefficient of variation (CV)8.5743767
Kurtosis943.41323
Mean32.285294
Median Absolute Deviation (MAD)3
Skewness28.160639
Sum87816
Variance76632.786
MonotonicityNot monotonic
2024-03-30T01:15:49.233433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 711
19.6%
1 348
 
9.6%
2 235
 
6.5%
3 166
 
4.6%
4 116
 
3.2%
5 85
 
2.3%
6 80
 
2.2%
7 60
 
1.7%
8 49
 
1.4%
9 45
 
1.2%
Other values (181) 825
22.8%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 711
19.6%
1 348
9.6%
2 235
 
6.5%
3 166
 
4.6%
4 116
 
3.2%
5 85
 
2.3%
6 80
 
2.2%
7 60
 
1.7%
8 49
 
1.4%
9 45
 
1.2%
ValueCountFrequency (%)
10617 1
< 0.1%
6792 1
< 0.1%
4301 1
< 0.1%
2675 1
< 0.1%
2439 1
< 0.1%
1786 1
< 0.1%
1699 1
< 0.1%
1129 1
< 0.1%
1088 1
< 0.1%
1081 1
< 0.1%

2007-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct197
Distinct (%)7.2%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean36.993382
Minimum0
Maximum11928
Zeros712
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:49.735895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile96.05
Maximum11928
Range11928
Interquartile range (IQR)14

Descriptive statistics

Standard deviation324.00427
Coefficient of variation (CV)8.7584388
Kurtosis862.42537
Mean36.993382
Median Absolute Deviation (MAD)3
Skewness27.046204
Sum100622
Variance104978.77
MonotonicityNot monotonic
2024-03-30T01:15:50.266175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 712
19.6%
1 347
 
9.6%
2 246
 
6.8%
3 154
 
4.2%
4 125
 
3.4%
5 82
 
2.3%
7 73
 
2.0%
6 70
 
1.9%
8 46
 
1.3%
9 45
 
1.2%
Other values (187) 820
22.6%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 712
19.6%
1 347
9.6%
2 246
 
6.8%
3 154
 
4.2%
4 125
 
3.4%
5 82
 
2.3%
6 70
 
1.9%
7 73
 
2.0%
8 46
 
1.3%
9 45
 
1.2%
ValueCountFrequency (%)
11928 1
< 0.1%
8304 1
< 0.1%
5773 1
< 0.1%
2814 1
< 0.1%
2290 1
< 0.1%
1903 1
< 0.1%
1893 1
< 0.1%
1371 1
< 0.1%
1276 1
< 0.1%
1258 1
< 0.1%

2007-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct206
Distinct (%)7.6%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean37.386029
Minimum0
Maximum12138
Zeros694
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:50.864170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile91
Maximum12138
Range12138
Interquartile range (IQR)13

Descriptive statistics

Standard deviation329.79638
Coefficient of variation (CV)8.8213802
Kurtosis852.45222
Mean37.386029
Median Absolute Deviation (MAD)3
Skewness26.815156
Sum101690
Variance108765.65
MonotonicityNot monotonic
2024-03-30T01:15:51.349487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 694
19.2%
1 382
10.5%
2 229
 
6.3%
3 172
 
4.7%
4 134
 
3.7%
5 92
 
2.5%
6 74
 
2.0%
7 56
 
1.5%
8 47
 
1.3%
10 44
 
1.2%
Other values (196) 796
22.0%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 694
19.2%
1 382
10.5%
2 229
 
6.3%
3 172
 
4.7%
4 134
 
3.7%
5 92
 
2.5%
6 74
 
2.0%
7 56
 
1.5%
8 47
 
1.3%
9 41
 
1.1%
ValueCountFrequency (%)
12138 1
< 0.1%
8313 1
< 0.1%
5874 1
< 0.1%
2892 1
< 0.1%
2711 1
< 0.1%
1937 1
< 0.1%
1839 1
< 0.1%
1475 1
< 0.1%
1356 1
< 0.1%
1298 1
< 0.1%

2007-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct182
Distinct (%)6.7%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean33.786765
Minimum0
Maximum10876
Zeros814
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:51.756559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile78
Maximum10876
Range10876
Interquartile range (IQR)12

Descriptive statistics

Standard deviation307.60546
Coefficient of variation (CV)9.1043183
Kurtosis774.49195
Mean33.786765
Median Absolute Deviation (MAD)2
Skewness25.566954
Sum91900
Variance94621.12
MonotonicityNot monotonic
2024-03-30T01:15:52.224575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 814
22.5%
1 346
 
9.5%
2 244
 
6.7%
3 161
 
4.4%
4 116
 
3.2%
5 86
 
2.4%
6 72
 
2.0%
7 55
 
1.5%
8 44
 
1.2%
10 35
 
1.0%
Other values (172) 747
20.6%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 814
22.5%
1 346
9.5%
2 244
 
6.7%
3 161
 
4.4%
4 116
 
3.2%
5 86
 
2.4%
6 72
 
2.0%
7 55
 
1.5%
8 44
 
1.2%
9 34
 
0.9%
ValueCountFrequency (%)
10876 1
< 0.1%
7903 1
< 0.1%
5807 1
< 0.1%
2281 1
< 0.1%
2030 1
< 0.1%
1924 1
< 0.1%
1871 1
< 0.1%
1818 1
< 0.1%
1814 1
< 0.1%
1794 1
< 0.1%

2007-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct213
Distinct (%)7.8%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean40.36875
Minimum0
Maximum12926
Zeros643
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:52.622405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile104.1
Maximum12926
Range12926
Interquartile range (IQR)14

Descriptive statistics

Standard deviation352.80506
Coefficient of variation (CV)8.7395586
Kurtosis863.76001
Mean40.36875
Median Absolute Deviation (MAD)3
Skewness27.232576
Sum109803
Variance124471.41
MonotonicityNot monotonic
2024-03-30T01:15:53.076677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 643
17.7%
1 356
 
9.8%
2 230
 
6.3%
3 160
 
4.4%
4 120
 
3.3%
5 100
 
2.8%
6 91
 
2.5%
7 66
 
1.8%
9 51
 
1.4%
10 46
 
1.3%
Other values (203) 857
23.6%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 643
17.7%
1 356
9.8%
2 230
 
6.3%
3 160
 
4.4%
4 120
 
3.3%
5 100
 
2.8%
6 91
 
2.5%
7 66
 
1.8%
8 38
 
1.0%
9 51
 
1.4%
ValueCountFrequency (%)
12926 1
< 0.1%
9228 1
< 0.1%
6247 1
< 0.1%
3555 1
< 0.1%
2479 1
< 0.1%
2383 1
< 0.1%
2138 1
< 0.1%
1631 1
< 0.1%
1415 1
< 0.1%
1261 1
< 0.1%

2007-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct216
Distinct (%)7.9%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean38.259191
Minimum0
Maximum12246
Zeros671
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:53.513566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile107
Maximum12246
Range12246
Interquartile range (IQR)14

Descriptive statistics

Standard deviation335.29896
Coefficient of variation (CV)8.7638799
Kurtosis859.60923
Mean38.259191
Median Absolute Deviation (MAD)3
Skewness27.185745
Sum104065
Variance112425.39
MonotonicityNot monotonic
2024-03-30T01:15:54.007912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 671
18.5%
1 362
10.0%
2 213
 
5.9%
3 168
 
4.6%
4 117
 
3.2%
5 93
 
2.6%
6 87
 
2.4%
7 72
 
2.0%
8 46
 
1.3%
9 44
 
1.2%
Other values (206) 847
23.4%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 671
18.5%
1 362
10.0%
2 213
 
5.9%
3 168
 
4.6%
4 117
 
3.2%
5 93
 
2.6%
6 87
 
2.4%
7 72
 
2.0%
8 46
 
1.3%
9 44
 
1.2%
ValueCountFrequency (%)
12246 1
< 0.1%
8815 1
< 0.1%
5975 1
< 0.1%
3256 1
< 0.1%
2262 1
< 0.1%
2254 1
< 0.1%
2185 1
< 0.1%
1605 1
< 0.1%
1566 1
< 0.1%
1245 1
< 0.1%

2007-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct206
Distinct (%)7.6%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean36.726103
Minimum0
Maximum11907
Zeros694
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:54.450092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile107
Maximum11907
Range11907
Interquartile range (IQR)15

Descriptive statistics

Standard deviation315.99056
Coefficient of variation (CV)8.6039775
Kurtosis915.39309
Mean36.726103
Median Absolute Deviation (MAD)3
Skewness27.92795
Sum99895
Variance99850.037
MonotonicityNot monotonic
2024-03-30T01:15:54.913843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 694
19.2%
1 368
10.2%
2 204
 
5.6%
3 160
 
4.4%
4 112
 
3.1%
5 107
 
3.0%
6 79
 
2.2%
8 58
 
1.6%
9 52
 
1.4%
7 47
 
1.3%
Other values (196) 839
23.2%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 694
19.2%
1 368
10.2%
2 204
 
5.6%
3 160
 
4.4%
4 112
 
3.1%
5 107
 
3.0%
6 79
 
2.2%
7 47
 
1.3%
8 58
 
1.6%
9 52
 
1.4%
ValueCountFrequency (%)
11907 1
< 0.1%
7989 1
< 0.1%
5440 1
< 0.1%
2863 1
< 0.1%
2574 1
< 0.1%
2034 1
< 0.1%
1646 1
< 0.1%
1223 1
< 0.1%
1131 1
< 0.1%
1009 1
< 0.1%

2008-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct205
Distinct (%)7.5%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean34.998162
Minimum0
Maximum11252
Zeros711
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:55.415530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile101.05
Maximum11252
Range11252
Interquartile range (IQR)14

Descriptive statistics

Standard deviation301.94476
Coefficient of variation (CV)8.6274461
Kurtosis905.91928
Mean34.998162
Median Absolute Deviation (MAD)3
Skewness27.952297
Sum95195
Variance91170.635
MonotonicityNot monotonic
2024-03-30T01:15:55.854407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 711
19.6%
1 355
 
9.8%
2 237
 
6.5%
3 163
 
4.5%
4 113
 
3.1%
5 90
 
2.5%
6 81
 
2.2%
8 61
 
1.7%
7 57
 
1.6%
10 38
 
1.0%
Other values (195) 814
22.5%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 711
19.6%
1 355
9.8%
2 237
 
6.5%
3 163
 
4.5%
4 113
 
3.1%
5 90
 
2.5%
6 81
 
2.2%
7 57
 
1.6%
8 61
 
1.7%
9 36
 
1.0%
ValueCountFrequency (%)
11252 1
< 0.1%
7812 1
< 0.1%
5563 1
< 0.1%
2489 1
< 0.1%
2093 1
< 0.1%
1679 1
< 0.1%
1619 1
< 0.1%
1067 1
< 0.1%
1057 1
< 0.1%
975 1
< 0.1%

2008-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct200
Distinct (%)7.4%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean31.819118
Minimum0
Maximum10196
Zeros759
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:56.576128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile88.05
Maximum10196
Range10196
Interquartile range (IQR)12

Descriptive statistics

Standard deviation276.0674
Coefficient of variation (CV)8.6761487
Kurtosis894.17626
Mean31.819118
Median Absolute Deviation (MAD)2
Skewness27.820458
Sum86548
Variance76213.207
MonotonicityNot monotonic
2024-03-30T01:15:57.032213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 759
20.9%
1 379
10.5%
2 235
 
6.5%
3 159
 
4.4%
4 114
 
3.1%
5 83
 
2.3%
6 77
 
2.1%
7 64
 
1.8%
8 55
 
1.5%
10 37
 
1.0%
Other values (190) 758
20.9%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 759
20.9%
1 379
10.5%
2 235
 
6.5%
3 159
 
4.4%
4 114
 
3.1%
5 83
 
2.3%
6 77
 
2.1%
7 64
 
1.8%
8 55
 
1.5%
9 32
 
0.9%
ValueCountFrequency (%)
10196 1
< 0.1%
7265 1
< 0.1%
5146 1
< 0.1%
2120 1
< 0.1%
1718 1
< 0.1%
1680 1
< 0.1%
1454 1
< 0.1%
1079 1
< 0.1%
937 1
< 0.1%
915 1
< 0.1%

2008-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct218
Distinct (%)8.0%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean40.791176
Minimum0
Maximum13232
Zeros664
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:57.479925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q317
95-th percentile115
Maximum13232
Range13232
Interquartile range (IQR)16

Descriptive statistics

Standard deviation353.8426
Coefficient of variation (CV)8.6744887
Kurtosis906.75717
Mean40.791176
Median Absolute Deviation (MAD)3
Skewness27.855062
Sum110952
Variance125204.58
MonotonicityNot monotonic
2024-03-30T01:15:57.973841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 664
18.3%
1 349
 
9.6%
2 232
 
6.4%
3 165
 
4.6%
4 110
 
3.0%
5 92
 
2.5%
6 83
 
2.3%
7 61
 
1.7%
8 51
 
1.4%
9 48
 
1.3%
Other values (208) 865
23.9%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 664
18.3%
1 349
9.6%
2 232
 
6.4%
3 165
 
4.6%
4 110
 
3.0%
5 92
 
2.5%
6 83
 
2.3%
7 61
 
1.7%
8 51
 
1.4%
9 48
 
1.3%
ValueCountFrequency (%)
13232 1
< 0.1%
9121 1
< 0.1%
6216 1
< 0.1%
2941 1
< 0.1%
2377 1
< 0.1%
2335 1
< 0.1%
2003 1
< 0.1%
1564 1
< 0.1%
1300 1
< 0.1%
1284 1
< 0.1%

2008-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct228
Distinct (%)8.4%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean44.119853
Minimum0
Maximum13960
Zeros629
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:58.497444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile123.15
Maximum13960
Range13960
Interquartile range (IQR)17

Descriptive statistics

Standard deviation385.5752
Coefficient of variation (CV)8.7392677
Kurtosis858.42924
Mean44.119853
Median Absolute Deviation (MAD)4
Skewness27.229393
Sum120006
Variance148668.24
MonotonicityNot monotonic
2024-03-30T01:15:59.078440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 629
17.4%
1 333
 
9.2%
2 222
 
6.1%
3 147
 
4.1%
4 108
 
3.0%
5 105
 
2.9%
6 84
 
2.3%
7 71
 
2.0%
8 61
 
1.7%
9 46
 
1.3%
Other values (218) 914
25.2%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 629
17.4%
1 333
9.2%
2 222
 
6.1%
3 147
 
4.1%
4 108
 
3.0%
5 105
 
2.9%
6 84
 
2.3%
7 71
 
2.0%
8 61
 
1.7%
9 46
 
1.3%
ValueCountFrequency (%)
13960 1
< 0.1%
10483 1
< 0.1%
6728 1
< 0.1%
3440 1
< 0.1%
2765 1
< 0.1%
2502 1
< 0.1%
2181 1
< 0.1%
2140 1
< 0.1%
1559 1
< 0.1%
1508 1
< 0.1%

2008-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct223
Distinct (%)8.2%
Missing904
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean40.809559
Minimum0
Maximum13072
Zeros641
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:15:59.503064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q318
95-th percentile110.05
Maximum13072
Range13072
Interquartile range (IQR)17

Descriptive statistics

Standard deviation353.20582
Coefficient of variation (CV)8.6549776
Kurtosis885.35203
Mean40.809559
Median Absolute Deviation (MAD)3
Skewness27.497645
Sum111002
Variance124754.35
MonotonicityNot monotonic
2024-03-30T01:16:00.035128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 641
17.7%
1 343
 
9.5%
2 207
 
5.7%
3 186
 
5.1%
4 111
 
3.1%
6 75
 
2.1%
5 74
 
2.0%
8 65
 
1.8%
7 63
 
1.7%
9 51
 
1.4%
Other values (213) 904
24.9%
(Missing) 904
24.9%
ValueCountFrequency (%)
0 641
17.7%
1 343
9.5%
2 207
 
5.7%
3 186
 
5.1%
4 111
 
3.1%
5 74
 
2.0%
6 75
 
2.1%
7 63
 
1.7%
8 65
 
1.8%
9 51
 
1.4%
ValueCountFrequency (%)
13072 1
< 0.1%
9294 1
< 0.1%
5805 1
< 0.1%
3305 1
< 0.1%
2618 1
< 0.1%
2412 1
< 0.1%
2318 1
< 0.1%
1777 1
< 0.1%
1460 1
< 0.1%
1450 1
< 0.1%

2008-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct223
Distinct (%)8.1%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean40.548175
Minimum0
Maximum13019
Zeros627
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:00.558173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile111.05
Maximum13019
Range13019
Interquartile range (IQR)16

Descriptive statistics

Standard deviation348.29619
Coefficient of variation (CV)8.5896884
Kurtosis908.6897
Mean40.548175
Median Absolute Deviation (MAD)4
Skewness27.885552
Sum111102
Variance121310.24
MonotonicityNot monotonic
2024-03-30T01:16:01.026363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 627
17.3%
1 326
 
9.0%
2 235
 
6.5%
3 156
 
4.3%
4 127
 
3.5%
5 98
 
2.7%
6 95
 
2.6%
7 65
 
1.8%
8 52
 
1.4%
9 47
 
1.3%
Other values (213) 912
25.2%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 627
17.3%
1 326
9.0%
2 235
 
6.5%
3 156
 
4.3%
4 127
 
3.5%
5 98
 
2.7%
6 95
 
2.6%
7 65
 
1.8%
8 52
 
1.4%
9 47
 
1.3%
ValueCountFrequency (%)
13019 1
< 0.1%
9190 1
< 0.1%
5776 1
< 0.1%
3321 1
< 0.1%
2317 1
< 0.1%
2262 1
< 0.1%
2140 1
< 0.1%
1611 1
< 0.1%
1432 1
< 0.1%
1429 1
< 0.1%

2008-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct231
Distinct (%)8.4%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean40.641241
Minimum0
Maximum13099
Zeros609
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:01.631377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile119
Maximum13099
Range13099
Interquartile range (IQR)15

Descriptive statistics

Standard deviation351.69532
Coefficient of variation (CV)8.653656
Kurtosis900.74943
Mean40.641241
Median Absolute Deviation (MAD)4
Skewness27.788326
Sum111357
Variance123689.6
MonotonicityNot monotonic
2024-03-30T01:16:02.176769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 609
16.8%
1 347
 
9.6%
2 208
 
5.7%
3 177
 
4.9%
4 120
 
3.3%
5 107
 
3.0%
6 100
 
2.8%
7 70
 
1.9%
9 56
 
1.5%
8 49
 
1.4%
Other values (221) 897
24.8%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 609
16.8%
1 347
9.6%
2 208
 
5.7%
3 177
 
4.9%
4 120
 
3.3%
5 107
 
3.0%
6 100
 
2.8%
7 70
 
1.9%
8 49
 
1.4%
9 56
 
1.5%
ValueCountFrequency (%)
13099 1
< 0.1%
9258 1
< 0.1%
6027 1
< 0.1%
3359 1
< 0.1%
2362 1
< 0.1%
2216 1
< 0.1%
2116 1
< 0.1%
1545 1
< 0.1%
1353 1
< 0.1%
1352 1
< 0.1%

2008-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct192
Distinct (%)7.0%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean30.370073
Minimum0
Maximum9780
Zeros698
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:02.673880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile91
Maximum9780
Range9780
Interquartile range (IQR)13

Descriptive statistics

Standard deviation259.95095
Coefficient of variation (CV)8.5594443
Kurtosis926.98933
Mean30.370073
Median Absolute Deviation (MAD)3
Skewness28.226331
Sum83214
Variance67574.496
MonotonicityNot monotonic
2024-03-30T01:16:03.115340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 698
19.3%
1 386
10.7%
2 228
 
6.3%
3 198
 
5.5%
4 116
 
3.2%
6 92
 
2.5%
5 86
 
2.4%
7 60
 
1.7%
8 45
 
1.2%
9 41
 
1.1%
Other values (182) 790
21.8%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 698
19.3%
1 386
10.7%
2 228
 
6.3%
3 198
 
5.5%
4 116
 
3.2%
5 86
 
2.4%
6 92
 
2.5%
7 60
 
1.7%
8 45
 
1.2%
9 41
 
1.1%
ValueCountFrequency (%)
9780 1
< 0.1%
6817 1
< 0.1%
4510 1
< 0.1%
2309 1
< 0.1%
1625 1
< 0.1%
1562 1
< 0.1%
1372 1
< 0.1%
1025 1
< 0.1%
1006 1
< 0.1%
890 1
< 0.1%

2008-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct180
Distinct (%)6.6%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean28.572993
Minimum0
Maximum9235
Zeros705
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:03.576368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile81
Maximum9235
Range9235
Interquartile range (IQR)12

Descriptive statistics

Standard deviation245.46772
Coefficient of variation (CV)8.5908998
Kurtosis925.94981
Mean28.572993
Median Absolute Deviation (MAD)3
Skewness28.230591
Sum78290
Variance60254.4
MonotonicityNot monotonic
2024-03-30T01:16:04.042774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 705
19.5%
1 389
10.7%
2 239
 
6.6%
3 178
 
4.9%
4 124
 
3.4%
5 103
 
2.8%
6 81
 
2.2%
7 73
 
2.0%
8 50
 
1.4%
10 37
 
1.0%
Other values (170) 761
21.0%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 705
19.5%
1 389
10.7%
2 239
 
6.6%
3 178
 
4.9%
4 124
 
3.4%
5 103
 
2.8%
6 81
 
2.2%
7 73
 
2.0%
8 50
 
1.4%
9 33
 
0.9%
ValueCountFrequency (%)
9235 1
< 0.1%
6396 1
< 0.1%
4361 1
< 0.1%
2240 1
< 0.1%
1530 1
< 0.1%
1416 1
< 0.1%
1133 1
< 0.1%
952 1
< 0.1%
942 1
< 0.1%
799 1
< 0.1%

2008-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct187
Distinct (%)6.8%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean28.580657
Minimum0
Maximum9108
Zeros690
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:04.492081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311
95-th percentile83
Maximum9108
Range9108
Interquartile range (IQR)11

Descriptive statistics

Standard deviation248.03118
Coefficient of variation (CV)8.6782882
Kurtosis901.03216
Mean28.580657
Median Absolute Deviation (MAD)3
Skewness28.072158
Sum78311
Variance61519.464
MonotonicityNot monotonic
2024-03-30T01:16:04.937849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 690
19.0%
1 420
11.6%
2 252
 
7.0%
3 173
 
4.8%
4 127
 
3.5%
5 113
 
3.1%
6 76
 
2.1%
7 63
 
1.7%
8 48
 
1.3%
9 46
 
1.3%
Other values (177) 732
20.2%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 690
19.0%
1 420
11.6%
2 252
 
7.0%
3 173
 
4.8%
4 127
 
3.5%
5 113
 
3.1%
6 76
 
2.1%
7 63
 
1.7%
8 48
 
1.3%
9 46
 
1.3%
ValueCountFrequency (%)
9108 1
< 0.1%
6757 1
< 0.1%
4725 1
< 0.1%
1798 1
< 0.1%
1288 1
< 0.1%
1282 1
< 0.1%
993 1
< 0.1%
980 1
< 0.1%
912 1
< 0.1%
865 1
< 0.1%

2008-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct162
Distinct (%)5.9%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean22.45365
Minimum0
Maximum7174
Zeros794
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:05.448924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile66.05
Maximum7174
Range7174
Interquartile range (IQR)9

Descriptive statistics

Standard deviation195.97891
Coefficient of variation (CV)8.728154
Kurtosis893.51686
Mean22.45365
Median Absolute Deviation (MAD)2
Skewness27.974347
Sum61523
Variance38407.734
MonotonicityNot monotonic
2024-03-30T01:16:05.895818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 794
21.9%
1 456
12.6%
2 249
 
6.9%
3 174
 
4.8%
4 136
 
3.8%
5 69
 
1.9%
6 61
 
1.7%
7 56
 
1.5%
8 50
 
1.4%
12 39
 
1.1%
Other values (152) 656
18.1%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 794
21.9%
1 456
12.6%
2 249
 
6.9%
3 174
 
4.8%
4 136
 
3.8%
5 69
 
1.9%
6 61
 
1.7%
7 56
 
1.5%
8 50
 
1.4%
9 36
 
1.0%
ValueCountFrequency (%)
7174 1
< 0.1%
5323 1
< 0.1%
3786 1
< 0.1%
1493 1
< 0.1%
1112 1
< 0.1%
1009 1
< 0.1%
811 1
< 0.1%
773 1
< 0.1%
723 1
< 0.1%
614 1
< 0.1%

2008-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct173
Distinct (%)6.3%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean24.267883
Minimum0
Maximum7996
Zeros773
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:06.377147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile67.05
Maximum7996
Range7996
Interquartile range (IQR)10

Descriptive statistics

Standard deviation211.72504
Coefficient of variation (CV)8.7244958
Kurtosis930.91062
Mean24.267883
Median Absolute Deviation (MAD)2
Skewness28.286987
Sum66494
Variance44827.494
MonotonicityNot monotonic
2024-03-30T01:16:06.769794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 773
21.3%
1 426
11.8%
2 248
 
6.8%
3 175
 
4.8%
4 110
 
3.0%
5 91
 
2.5%
6 76
 
2.1%
7 57
 
1.6%
8 53
 
1.5%
9 43
 
1.2%
Other values (163) 688
19.0%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 773
21.3%
1 426
11.8%
2 248
 
6.8%
3 175
 
4.8%
4 110
 
3.0%
5 91
 
2.5%
6 76
 
2.1%
7 57
 
1.6%
8 53
 
1.5%
9 43
 
1.2%
ValueCountFrequency (%)
7996 1
< 0.1%
5416 1
< 0.1%
3926 1
< 0.1%
1634 1
< 0.1%
1286 1
< 0.1%
1101 1
< 0.1%
998 1
< 0.1%
850 1
< 0.1%
840 1
< 0.1%
753 1
< 0.1%

2009-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct157
Distinct (%)5.7%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean18.883577
Minimum0
Maximum6027
Zeros917
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:07.209531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile53
Maximum6027
Range6027
Interquartile range (IQR)7

Descriptive statistics

Standard deviation166.87096
Coefficient of variation (CV)8.8368303
Kurtosis866.01352
Mean18.883577
Median Absolute Deviation (MAD)2
Skewness27.596571
Sum51741
Variance27845.918
MonotonicityNot monotonic
2024-03-30T01:16:07.883680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 917
25.3%
1 449
12.4%
2 253
 
7.0%
3 147
 
4.1%
4 113
 
3.1%
5 79
 
2.2%
7 60
 
1.7%
6 54
 
1.5%
8 42
 
1.2%
11 31
 
0.9%
Other values (147) 595
16.4%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 917
25.3%
1 449
12.4%
2 253
 
7.0%
3 147
 
4.1%
4 113
 
3.1%
5 79
 
2.2%
6 54
 
1.5%
7 60
 
1.7%
8 42
 
1.2%
9 31
 
0.9%
ValueCountFrequency (%)
6027 1
< 0.1%
4490 1
< 0.1%
3422 1
< 0.1%
1314 1
< 0.1%
900 1
< 0.1%
827 1
< 0.1%
700 1
< 0.1%
684 1
< 0.1%
611 1
< 0.1%
584 1
< 0.1%

2009-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct177
Distinct (%)6.5%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean25.225182
Minimum0
Maximum8009
Zeros824
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:08.383455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39.25
95-th percentile73
Maximum8009
Range8009
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation222.238
Coefficient of variation (CV)8.8101644
Kurtosis853.192
Mean25.225182
Median Absolute Deviation (MAD)2
Skewness27.349405
Sum69117
Variance49389.731
MonotonicityNot monotonic
2024-03-30T01:16:09.006454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 824
22.7%
1 412
11.4%
2 269
 
7.4%
3 148
 
4.1%
4 111
 
3.1%
5 93
 
2.6%
6 60
 
1.7%
7 51
 
1.4%
8 48
 
1.3%
10 41
 
1.1%
Other values (167) 683
18.8%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 824
22.7%
1 412
11.4%
2 269
 
7.4%
3 148
 
4.1%
4 111
 
3.1%
5 93
 
2.6%
6 60
 
1.7%
7 51
 
1.4%
8 48
 
1.3%
9 39
 
1.1%
ValueCountFrequency (%)
8009 1
< 0.1%
5915 1
< 0.1%
4551 1
< 0.1%
1962 1
< 0.1%
1376 1
< 0.1%
1133 1
< 0.1%
1068 1
< 0.1%
959 1
< 0.1%
759 1
< 0.1%
713 1
< 0.1%

2009-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct202
Distinct (%)7.4%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean32.620073
Minimum0
Maximum10410
Zeros691
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:09.983436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile93.05
Maximum10410
Range10410
Interquartile range (IQR)12

Descriptive statistics

Standard deviation285.58483
Coefficient of variation (CV)8.7548802
Kurtosis868.61732
Mean32.620073
Median Absolute Deviation (MAD)3
Skewness27.526946
Sum89379
Variance81558.695
MonotonicityNot monotonic
2024-03-30T01:16:10.600732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 691
19.1%
1 388
10.7%
2 251
 
6.9%
3 192
 
5.3%
4 140
 
3.9%
5 95
 
2.6%
6 85
 
2.3%
7 64
 
1.8%
8 42
 
1.2%
9 34
 
0.9%
Other values (192) 758
20.9%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 691
19.1%
1 388
10.7%
2 251
 
6.9%
3 192
 
5.3%
4 140
 
3.9%
5 95
 
2.6%
6 85
 
2.3%
7 64
 
1.8%
8 42
 
1.2%
9 34
 
0.9%
ValueCountFrequency (%)
10410 1
< 0.1%
7498 1
< 0.1%
5777 1
< 0.1%
2350 1
< 0.1%
1715 1
< 0.1%
1607 1
< 0.1%
1444 1
< 0.1%
1374 1
< 0.1%
904 1
< 0.1%
881 1
< 0.1%

2009-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct203
Distinct (%)7.4%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean34.403285
Minimum0
Maximum10956
Zeros707
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:11.109576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile98.05
Maximum10956
Range10956
Interquartile range (IQR)13

Descriptive statistics

Standard deviation298.62927
Coefficient of variation (CV)8.6802546
Kurtosis865.95959
Mean34.403285
Median Absolute Deviation (MAD)3
Skewness27.3191
Sum94265
Variance89179.441
MonotonicityNot monotonic
2024-03-30T01:16:11.719637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 707
19.5%
1 349
 
9.6%
2 237
 
6.5%
3 184
 
5.1%
4 137
 
3.8%
5 92
 
2.5%
7 75
 
2.1%
6 74
 
2.0%
8 60
 
1.7%
11 40
 
1.1%
Other values (193) 785
21.7%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 707
19.5%
1 349
9.6%
2 237
 
6.5%
3 184
 
5.1%
4 137
 
3.8%
5 92
 
2.5%
6 74
 
2.0%
7 75
 
2.1%
8 60
 
1.7%
9 34
 
0.9%
ValueCountFrequency (%)
10956 1
< 0.1%
7731 1
< 0.1%
5735 1
< 0.1%
2713 1
< 0.1%
1961 1
< 0.1%
1852 1
< 0.1%
1688 1
< 0.1%
1529 1
< 0.1%
1147 1
< 0.1%
1000 1
< 0.1%

2009-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct195
Distinct (%)7.1%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean31.705109
Minimum0
Maximum9951
Zeros709
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:12.261047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile84.05
Maximum9951
Range9951
Interquartile range (IQR)12

Descriptive statistics

Standard deviation275.62145
Coefficient of variation (CV)8.6932818
Kurtosis843.98923
Mean31.705109
Median Absolute Deviation (MAD)3
Skewness27.04307
Sum86872
Variance75967.185
MonotonicityNot monotonic
2024-03-30T01:16:12.894683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 709
19.6%
1 378
10.4%
2 245
 
6.8%
3 178
 
4.9%
5 122
 
3.4%
4 110
 
3.0%
6 82
 
2.3%
7 62
 
1.7%
8 48
 
1.3%
9 41
 
1.1%
Other values (185) 765
21.1%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 709
19.6%
1 378
10.4%
2 245
 
6.8%
3 178
 
4.9%
4 110
 
3.0%
5 122
 
3.4%
6 82
 
2.3%
7 62
 
1.7%
8 48
 
1.3%
9 41
 
1.1%
ValueCountFrequency (%)
9951 1
< 0.1%
7349 1
< 0.1%
5228 1
< 0.1%
2636 1
< 0.1%
1983 1
< 0.1%
1668 1
< 0.1%
1520 1
< 0.1%
1500 1
< 0.1%
1210 1
< 0.1%
1081 1
< 0.1%

2009-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct212
Distinct (%)7.7%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean36.74708
Minimum0
Maximum11590
Zeros652
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:13.358282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile105
Maximum11590
Range11590
Interquartile range (IQR)14

Descriptive statistics

Standard deviation318.3413
Coefficient of variation (CV)8.6630365
Kurtosis863.12137
Mean36.74708
Median Absolute Deviation (MAD)3
Skewness27.357193
Sum100687
Variance101341.18
MonotonicityNot monotonic
2024-03-30T01:16:14.039639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 652
18.0%
1 376
10.4%
2 227
 
6.3%
3 160
 
4.4%
4 130
 
3.6%
5 104
 
2.9%
7 78
 
2.2%
6 73
 
2.0%
8 60
 
1.7%
9 42
 
1.2%
Other values (202) 838
23.1%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 652
18.0%
1 376
10.4%
2 227
 
6.3%
3 160
 
4.4%
4 130
 
3.6%
5 104
 
2.9%
6 73
 
2.0%
7 78
 
2.2%
8 60
 
1.7%
9 42
 
1.2%
ValueCountFrequency (%)
11590 1
< 0.1%
8493 1
< 0.1%
5987 1
< 0.1%
2983 1
< 0.1%
2104 1
< 0.1%
1866 1
< 0.1%
1767 1
< 0.1%
1514 1
< 0.1%
1393 1
< 0.1%
1240 1
< 0.1%

2009-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct220
Distinct (%)8.0%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean39.941971
Minimum0
Maximum12620
Zeros643
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:14.535668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q316
95-th percentile113.05
Maximum12620
Range12620
Interquartile range (IQR)15

Descriptive statistics

Standard deviation346.46839
Coefficient of variation (CV)8.6742937
Kurtosis860.25098
Mean39.941971
Median Absolute Deviation (MAD)3
Skewness27.263159
Sum109441
Variance120040.34
MonotonicityNot monotonic
2024-03-30T01:16:15.189506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 643
17.7%
1 377
10.4%
2 216
 
6.0%
3 161
 
4.4%
4 129
 
3.6%
5 106
 
2.9%
6 76
 
2.1%
7 73
 
2.0%
9 51
 
1.4%
8 44
 
1.2%
Other values (210) 864
23.8%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 643
17.7%
1 377
10.4%
2 216
 
6.0%
3 161
 
4.4%
4 129
 
3.6%
5 106
 
2.9%
6 76
 
2.1%
7 73
 
2.0%
8 44
 
1.2%
9 51
 
1.4%
ValueCountFrequency (%)
12620 1
< 0.1%
9184 1
< 0.1%
6550 1
< 0.1%
3129 1
< 0.1%
2275 1
< 0.1%
2042 1
< 0.1%
1891 1
< 0.1%
1696 1
< 0.1%
1443 1
< 0.1%
1292 1
< 0.1%

2009-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct201
Distinct (%)7.3%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean35.675547
Minimum0
Maximum11291
Zeros703
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:15.694448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile98.05
Maximum11291
Range11291
Interquartile range (IQR)14

Descriptive statistics

Standard deviation311.39544
Coefficient of variation (CV)8.72854
Kurtosis856.49184
Mean35.675547
Median Absolute Deviation (MAD)3
Skewness27.27409
Sum97751
Variance96967.123
MonotonicityNot monotonic
2024-03-30T01:16:16.157352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 703
19.4%
1 337
 
9.3%
2 246
 
6.8%
3 159
 
4.4%
4 120
 
3.3%
5 99
 
2.7%
7 83
 
2.3%
6 83
 
2.3%
8 55
 
1.5%
9 54
 
1.5%
Other values (191) 801
22.1%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 703
19.4%
1 337
9.3%
2 246
 
6.8%
3 159
 
4.4%
4 120
 
3.3%
5 99
 
2.7%
6 83
 
2.3%
7 83
 
2.3%
8 55
 
1.5%
9 54
 
1.5%
ValueCountFrequency (%)
11291 1
< 0.1%
8311 1
< 0.1%
5973 1
< 0.1%
2741 1
< 0.1%
2082 1
< 0.1%
1945 1
< 0.1%
1766 1
< 0.1%
1571 1
< 0.1%
1348 1
< 0.1%
1158 1
< 0.1%

2009-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct220
Distinct (%)8.0%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean40.710949
Minimum0
Maximum12878
Zeros630
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:16.648813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q316
95-th percentile110.1
Maximum12878
Range12878
Interquartile range (IQR)15

Descriptive statistics

Standard deviation356.41414
Coefficient of variation (CV)8.7547491
Kurtosis843.10365
Mean40.710949
Median Absolute Deviation (MAD)3
Skewness27.015957
Sum111548
Variance127031.04
MonotonicityNot monotonic
2024-03-30T01:16:17.117863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 630
17.4%
1 380
10.5%
2 220
 
6.1%
3 165
 
4.6%
4 123
 
3.4%
5 109
 
3.0%
6 76
 
2.1%
8 56
 
1.5%
9 54
 
1.5%
7 54
 
1.5%
Other values (210) 873
24.1%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 630
17.4%
1 380
10.5%
2 220
 
6.1%
3 165
 
4.6%
4 123
 
3.4%
5 109
 
3.0%
6 76
 
2.1%
7 54
 
1.5%
8 56
 
1.5%
9 54
 
1.5%
ValueCountFrequency (%)
12878 1
< 0.1%
9469 1
< 0.1%
6737 1
< 0.1%
3473 1
< 0.1%
2584 1
< 0.1%
2262 1
< 0.1%
1992 1
< 0.1%
1984 1
< 0.1%
1513 1
< 0.1%
1297 1
< 0.1%

2009-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct229
Distinct (%)8.4%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean41.017153
Minimum0
Maximum13137
Zeros624
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:17.600393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile114.05
Maximum13137
Range13137
Interquartile range (IQR)14

Descriptive statistics

Standard deviation354.74931
Coefficient of variation (CV)8.6488038
Kurtosis885.67522
Mean41.017153
Median Absolute Deviation (MAD)3
Skewness27.568543
Sum112387
Variance125847.07
MonotonicityNot monotonic
2024-03-30T01:16:18.073016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 624
17.2%
1 379
10.5%
2 236
 
6.5%
3 159
 
4.4%
5 115
 
3.2%
4 111
 
3.1%
6 80
 
2.2%
7 72
 
2.0%
8 60
 
1.7%
9 52
 
1.4%
Other values (219) 852
23.5%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 624
17.2%
1 379
10.5%
2 236
 
6.5%
3 159
 
4.4%
4 111
 
3.1%
5 115
 
3.2%
6 80
 
2.2%
7 72
 
2.0%
8 60
 
1.7%
9 52
 
1.4%
ValueCountFrequency (%)
13137 1
< 0.1%
9249 1
< 0.1%
6441 1
< 0.1%
3113 1
< 0.1%
2475 1
< 0.1%
2382 1
< 0.1%
1795 1
< 0.1%
1768 1
< 0.1%
1431 1
< 0.1%
1327 1
< 0.1%

2009-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct213
Distinct (%)7.8%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean35.983212
Minimum0
Maximum11415
Zeros661
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:18.507352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile104
Maximum11415
Range11415
Interquartile range (IQR)13

Descriptive statistics

Standard deviation310.91757
Coefficient of variation (CV)8.6406286
Kurtosis881.10099
Mean35.983212
Median Absolute Deviation (MAD)3
Skewness27.628684
Sum98594
Variance96669.733
MonotonicityNot monotonic
2024-03-30T01:16:19.066298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 661
18.2%
1 372
10.3%
2 226
 
6.2%
3 157
 
4.3%
4 135
 
3.7%
5 117
 
3.2%
7 79
 
2.2%
6 78
 
2.2%
8 45
 
1.2%
10 44
 
1.2%
Other values (203) 826
22.8%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 661
18.2%
1 372
10.3%
2 226
 
6.2%
3 157
 
4.3%
4 135
 
3.7%
5 117
 
3.2%
6 78
 
2.2%
7 79
 
2.2%
8 45
 
1.2%
9 41
 
1.1%
ValueCountFrequency (%)
11415 1
< 0.1%
8290 1
< 0.1%
5754 1
< 0.1%
2824 1
< 0.1%
2063 1
< 0.1%
1789 1
< 0.1%
1606 1
< 0.1%
1540 1
< 0.1%
1221 1
< 0.1%
1058 1
< 0.1%

2009-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct219
Distinct (%)8.0%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean40.031752
Minimum0
Maximum13051
Zeros606
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:19.514220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316.25
95-th percentile119
Maximum13051
Range13051
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation345.31029
Coefficient of variation (CV)8.62591
Kurtosis921.29288
Mean40.031752
Median Absolute Deviation (MAD)4
Skewness28.038281
Sum109687
Variance119239.2
MonotonicityNot monotonic
2024-03-30T01:16:20.136789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 606
16.7%
1 364
10.0%
2 225
 
6.2%
3 163
 
4.5%
4 138
 
3.8%
5 105
 
2.9%
6 96
 
2.6%
7 57
 
1.6%
8 53
 
1.5%
10 50
 
1.4%
Other values (209) 883
24.4%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 606
16.7%
1 364
10.0%
2 225
 
6.2%
3 163
 
4.5%
4 138
 
3.8%
5 105
 
2.9%
6 96
 
2.6%
7 57
 
1.6%
8 53
 
1.5%
9 47
 
1.3%
ValueCountFrequency (%)
13051 1
< 0.1%
8728 1
< 0.1%
6150 1
< 0.1%
3066 1
< 0.1%
2452 1
< 0.1%
2208 1
< 0.1%
1844 1
< 0.1%
1669 1
< 0.1%
1313 1
< 0.1%
1272 1
< 0.1%

2010-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct179
Distinct (%)6.5%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean27.037956
Minimum0
Maximum8648
Zeros758
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:20.611782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile81.05
Maximum8648
Range8648
Interquartile range (IQR)11

Descriptive statistics

Standard deviation235.00994
Coefficient of variation (CV)8.6918529
Kurtosis888.11114
Mean27.037956
Median Absolute Deviation (MAD)2
Skewness27.788749
Sum74084
Variance55229.671
MonotonicityNot monotonic
2024-03-30T01:16:21.053250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 758
20.9%
1 408
11.3%
2 249
 
6.9%
3 169
 
4.7%
4 125
 
3.4%
5 92
 
2.5%
6 73
 
2.0%
7 57
 
1.6%
8 48
 
1.3%
9 36
 
1.0%
Other values (169) 725
20.0%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 758
20.9%
1 408
11.3%
2 249
 
6.9%
3 169
 
4.7%
4 125
 
3.4%
5 92
 
2.5%
6 73
 
2.0%
7 57
 
1.6%
8 48
 
1.3%
9 36
 
1.0%
ValueCountFrequency (%)
8648 1
< 0.1%
6228 1
< 0.1%
4501 1
< 0.1%
1946 1
< 0.1%
1431 1
< 0.1%
1417 1
< 0.1%
1110 1
< 0.1%
1093 1
< 0.1%
881 1
< 0.1%
781 1
< 0.1%

2010-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct185
Distinct (%)6.8%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean29.416058
Minimum0
Maximum9387
Zeros721
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:21.500820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile87
Maximum9387
Range9387
Interquartile range (IQR)12

Descriptive statistics

Standard deviation255.87513
Coefficient of variation (CV)8.6984847
Kurtosis888.49604
Mean29.416058
Median Absolute Deviation (MAD)3
Skewness27.842068
Sum80600
Variance65472.085
MonotonicityNot monotonic
2024-03-30T01:16:21.949680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 721
19.9%
1 390
10.8%
2 243
 
6.7%
3 188
 
5.2%
4 127
 
3.5%
5 107
 
3.0%
7 63
 
1.7%
6 57
 
1.6%
8 44
 
1.2%
9 44
 
1.2%
Other values (175) 756
20.9%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 721
19.9%
1 390
10.8%
2 243
 
6.7%
3 188
 
5.2%
4 127
 
3.5%
5 107
 
3.0%
6 57
 
1.6%
7 63
 
1.7%
8 44
 
1.2%
9 44
 
1.2%
ValueCountFrequency (%)
9387 1
< 0.1%
6844 1
< 0.1%
4959 1
< 0.1%
2008 1
< 0.1%
1447 1
< 0.1%
1387 1
< 0.1%
1263 1
< 0.1%
1100 1
< 0.1%
992 1
< 0.1%
877 1
< 0.1%

2010-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct208
Distinct (%)7.6%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean42.891241
Minimum0
Maximum13657
Zeros617
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:22.332045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile104.05
Maximum13657
Range13657
Interquartile range (IQR)13

Descriptive statistics

Standard deviation390.95342
Coefficient of variation (CV)9.1149944
Kurtosis782.56832
Mean42.891241
Median Absolute Deviation (MAD)3
Skewness26.010543
Sum117522
Variance152844.58
MonotonicityNot monotonic
2024-03-30T01:16:22.846094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 617
17.0%
1 374
10.3%
2 240
 
6.6%
3 174
 
4.8%
4 127
 
3.5%
6 106
 
2.9%
5 100
 
2.8%
7 62
 
1.7%
9 48
 
1.3%
8 47
 
1.3%
Other values (198) 845
23.3%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 617
17.0%
1 374
10.3%
2 240
 
6.6%
3 174
 
4.8%
4 127
 
3.5%
5 100
 
2.8%
6 106
 
2.9%
7 62
 
1.7%
8 47
 
1.3%
9 48
 
1.3%
ValueCountFrequency (%)
13657 1
< 0.1%
10414 1
< 0.1%
7971 1
< 0.1%
3435 1
< 0.1%
2707 1
< 0.1%
2248 1
< 0.1%
2239 1
< 0.1%
1988 1
< 0.1%
1827 1
< 0.1%
1633 1
< 0.1%

2010-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct205
Distinct (%)7.5%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean35.477737
Minimum0
Maximum11553
Zeros632
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:23.556800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile96.05
Maximum11553
Range11553
Interquartile range (IQR)14

Descriptive statistics

Standard deviation305.04776
Coefficient of variation (CV)8.5982867
Kurtosis930.386
Mean35.477737
Median Absolute Deviation (MAD)3
Skewness28.214536
Sum97209
Variance93054.133
MonotonicityNot monotonic
2024-03-30T01:16:24.042904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 632
17.4%
1 388
10.7%
2 228
 
6.3%
3 163
 
4.5%
4 124
 
3.4%
5 110
 
3.0%
6 81
 
2.2%
7 67
 
1.8%
8 60
 
1.7%
9 41
 
1.1%
Other values (195) 846
23.3%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 632
17.4%
1 388
10.7%
2 228
 
6.3%
3 163
 
4.5%
4 124
 
3.4%
5 110
 
3.0%
6 81
 
2.2%
7 67
 
1.8%
8 60
 
1.7%
9 41
 
1.1%
ValueCountFrequency (%)
11553 1
< 0.1%
7768 1
< 0.1%
5359 1
< 0.1%
3055 1
< 0.1%
1808 1
< 0.1%
1725 1
< 0.1%
1283 1
< 0.1%
1281 1
< 0.1%
1187 1
< 0.1%
1154 1
< 0.1%

2010-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct177
Distinct (%)6.5%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean28.979927
Minimum0
Maximum9349
Zeros679
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:24.491387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile79
Maximum9349
Range9349
Interquartile range (IQR)11

Descriptive statistics

Standard deviation250.02116
Coefficient of variation (CV)8.6273909
Kurtosis916.66629
Mean28.979927
Median Absolute Deviation (MAD)3
Skewness28.107939
Sum79405
Variance62510.579
MonotonicityNot monotonic
2024-03-30T01:16:24.947835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 679
18.7%
1 397
11.0%
2 225
 
6.2%
3 179
 
4.9%
4 122
 
3.4%
5 109
 
3.0%
7 78
 
2.2%
6 76
 
2.1%
9 44
 
1.2%
8 43
 
1.2%
Other values (167) 788
21.7%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 679
18.7%
1 397
11.0%
2 225
 
6.2%
3 179
 
4.9%
4 122
 
3.4%
5 109
 
3.0%
6 76
 
2.1%
7 78
 
2.2%
8 43
 
1.2%
9 44
 
1.2%
ValueCountFrequency (%)
9349 1
< 0.1%
6607 1
< 0.1%
4403 1
< 0.1%
2146 1
< 0.1%
1636 1
< 0.1%
1481 1
< 0.1%
1184 1
< 0.1%
1152 1
< 0.1%
1080 1
< 0.1%
879 1
< 0.1%

2010-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct192
Distinct (%)7.0%
Missing884
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean30.671533
Minimum0
Maximum9853
Zeros667
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:25.413418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile84
Maximum9853
Range9853
Interquartile range (IQR)12

Descriptive statistics

Standard deviation262.54493
Coefficient of variation (CV)8.5598894
Kurtosis919.93848
Mean30.671533
Median Absolute Deviation (MAD)3
Skewness28.138065
Sum84040
Variance68929.84
MonotonicityNot monotonic
2024-03-30T01:16:25.897966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 667
18.4%
1 424
11.7%
2 242
 
6.7%
3 155
 
4.3%
4 113
 
3.1%
5 95
 
2.6%
6 87
 
2.4%
7 64
 
1.8%
9 48
 
1.3%
10 39
 
1.1%
Other values (182) 806
22.2%
(Missing) 884
24.4%
ValueCountFrequency (%)
0 667
18.4%
1 424
11.7%
2 242
 
6.7%
3 155
 
4.3%
4 113
 
3.1%
5 95
 
2.6%
6 87
 
2.4%
7 64
 
1.8%
8 38
 
1.0%
9 48
 
1.3%
ValueCountFrequency (%)
9853 1
< 0.1%
6856 1
< 0.1%
4648 1
< 0.1%
2403 1
< 0.1%
1643 1
< 0.1%
1628 1
< 0.1%
1253 1
< 0.1%
1163 1
< 0.1%
1017 1
< 0.1%
879 1
< 0.1%

2010-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct187
Distinct (%)6.8%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean30.645848
Minimum0
Maximum10127
Zeros677
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:26.357022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile80.55
Maximum10127
Range10127
Interquartile range (IQR)12

Descriptive statistics

Standard deviation261.15166
Coefficient of variation (CV)8.5215999
Kurtosis973.90196
Mean30.645848
Median Absolute Deviation (MAD)3
Skewness28.688451
Sum84889
Variance68200.189
MonotonicityNot monotonic
2024-03-30T01:16:26.802422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 677
18.7%
1 422
11.6%
2 248
 
6.8%
3 154
 
4.2%
4 129
 
3.6%
5 105
 
2.9%
6 73
 
2.0%
7 70
 
1.9%
8 60
 
1.7%
9 45
 
1.2%
Other values (177) 787
21.7%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 677
18.7%
1 422
11.6%
2 248
 
6.8%
3 154
 
4.2%
4 129
 
3.6%
5 105
 
2.9%
6 73
 
2.0%
7 70
 
1.9%
8 60
 
1.7%
9 45
 
1.2%
ValueCountFrequency (%)
10127 1
< 0.1%
6472 1
< 0.1%
4500 1
< 0.1%
2184 1
< 0.1%
1644 1
< 0.1%
1544 1
< 0.1%
1283 1
< 0.1%
1187 1
< 0.1%
1086 1
< 0.1%
1034 1
< 0.1%

2010-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct194
Distinct (%)7.0%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean27.775451
Minimum0
Maximum9064
Zeros733
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:27.234698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311
95-th percentile81.55
Maximum9064
Range9064
Interquartile range (IQR)11

Descriptive statistics

Standard deviation236.7987
Coefficient of variation (CV)8.5254671
Kurtosis954.79607
Mean27.775451
Median Absolute Deviation (MAD)3
Skewness28.578736
Sum76938
Variance56073.622
MonotonicityNot monotonic
2024-03-30T01:16:27.686593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 733
20.2%
1 390
10.8%
2 232
 
6.4%
3 177
 
4.9%
4 128
 
3.5%
5 105
 
2.9%
6 88
 
2.4%
7 68
 
1.9%
8 53
 
1.5%
11 38
 
1.0%
Other values (184) 758
20.9%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 733
20.2%
1 390
10.8%
2 232
 
6.4%
3 177
 
4.9%
4 128
 
3.5%
5 105
 
2.9%
6 88
 
2.4%
7 68
 
1.9%
8 53
 
1.5%
9 38
 
1.0%
ValueCountFrequency (%)
9064 1
< 0.1%
6048 1
< 0.1%
4228 1
< 0.1%
2047 1
< 0.1%
1408 1
< 0.1%
1391 1
< 0.1%
1084 1
< 0.1%
1069 1
< 0.1%
998 1
< 0.1%
899 1
< 0.1%

2010-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct177
Distinct (%)6.4%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean26.385199
Minimum0
Maximum8596
Zeros790
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:28.147581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile74.55
Maximum8596
Range8596
Interquartile range (IQR)11

Descriptive statistics

Standard deviation227.00501
Coefficient of variation (CV)8.6034982
Kurtosis932.18947
Mean26.385199
Median Absolute Deviation (MAD)2
Skewness28.302751
Sum73087
Variance51531.273
MonotonicityNot monotonic
2024-03-30T01:16:28.548070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 790
21.8%
1 410
11.3%
2 243
 
6.7%
3 177
 
4.9%
4 113
 
3.1%
5 92
 
2.5%
7 72
 
2.0%
6 66
 
1.8%
8 43
 
1.2%
9 32
 
0.9%
Other values (167) 732
20.2%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 790
21.8%
1 410
11.3%
2 243
 
6.7%
3 177
 
4.9%
4 113
 
3.1%
5 92
 
2.5%
6 66
 
1.8%
7 72
 
2.0%
8 43
 
1.2%
9 32
 
0.9%
ValueCountFrequency (%)
8596 1
< 0.1%
5830 1
< 0.1%
4220 1
< 0.1%
1923 1
< 0.1%
1544 1
< 0.1%
1289 1
< 0.1%
1096 1
< 0.1%
992 1
< 0.1%
823 1
< 0.1%
759 1
< 0.1%

2010-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct198
Distinct (%)7.1%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean31.880866
Minimum0
Maximum10215
Zeros686
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:29.170437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile94
Maximum10215
Range10215
Interquartile range (IQR)12

Descriptive statistics

Standard deviation273.75072
Coefficient of variation (CV)8.5866777
Kurtosis912.74946
Mean31.880866
Median Absolute Deviation (MAD)3
Skewness28.130743
Sum88310
Variance74939.459
MonotonicityNot monotonic
2024-03-30T01:16:29.624848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 686
18.9%
1 409
11.3%
2 234
 
6.5%
3 180
 
5.0%
4 124
 
3.4%
5 92
 
2.5%
6 78
 
2.2%
7 59
 
1.6%
8 54
 
1.5%
9 43
 
1.2%
Other values (188) 811
22.4%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 686
18.9%
1 409
11.3%
2 234
 
6.5%
3 180
 
5.0%
4 124
 
3.4%
5 92
 
2.5%
6 78
 
2.2%
7 59
 
1.6%
8 54
 
1.5%
9 43
 
1.2%
ValueCountFrequency (%)
10215 1
< 0.1%
7239 1
< 0.1%
5195 1
< 0.1%
2336 1
< 0.1%
1669 1
< 0.1%
1500 1
< 0.1%
1276 1
< 0.1%
1152 1
< 0.1%
1056 1
< 0.1%
908 1
< 0.1%

2010-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct216
Distinct (%)7.8%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean37.867148
Minimum0
Maximum11986
Zeros655
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:30.077437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile106
Maximum11986
Range11986
Interquartile range (IQR)14

Descriptive statistics

Standard deviation329.39719
Coefficient of variation (CV)8.6987588
Kurtosis876.39349
Mean37.867148
Median Absolute Deviation (MAD)3
Skewness27.659473
Sum104892
Variance108502.51
MonotonicityNot monotonic
2024-03-30T01:16:30.661890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 655
18.1%
1 398
11.0%
2 255
 
7.0%
3 154
 
4.2%
4 116
 
3.2%
5 100
 
2.8%
7 76
 
2.1%
6 72
 
2.0%
8 50
 
1.4%
9 48
 
1.3%
Other values (206) 846
23.3%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 655
18.1%
1 398
11.0%
2 255
 
7.0%
3 154
 
4.2%
4 116
 
3.2%
5 100
 
2.8%
6 72
 
2.0%
7 76
 
2.1%
8 50
 
1.4%
9 48
 
1.3%
ValueCountFrequency (%)
11986 1
< 0.1%
9056 1
< 0.1%
6245 1
< 0.1%
3030 1
< 0.1%
2251 1
< 0.1%
1706 1
< 0.1%
1465 1
< 0.1%
1286 1
< 0.1%
1274 1
< 0.1%
1154 1
< 0.1%

2010-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct256
Distinct (%)9.2%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean52.457762
Minimum0
Maximum16799
Zeros580
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:31.182861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile145.55
Maximum16799
Range16799
Interquartile range (IQR)18

Descriptive statistics

Standard deviation450.01521
Coefficient of variation (CV)8.5786201
Kurtosis904.38313
Mean52.457762
Median Absolute Deviation (MAD)4
Skewness27.874698
Sum145308
Variance202513.69
MonotonicityNot monotonic
2024-03-30T01:16:31.714170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 580
16.0%
1 388
 
10.7%
2 238
 
6.6%
3 141
 
3.9%
4 114
 
3.1%
6 91
 
2.5%
5 81
 
2.2%
7 61
 
1.7%
8 49
 
1.4%
9 47
 
1.3%
Other values (246) 980
27.0%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 580
16.0%
1 388
10.7%
2 238
6.6%
3 141
 
3.9%
4 114
 
3.1%
5 81
 
2.2%
6 91
 
2.5%
7 61
 
1.7%
8 49
 
1.4%
9 47
 
1.3%
ValueCountFrequency (%)
16799 1
< 0.1%
11809 1
< 0.1%
8324 1
< 0.1%
3849 1
< 0.1%
2689 1
< 0.1%
2608 1
< 0.1%
2308 1
< 0.1%
2189 1
< 0.1%
2074 1
< 0.1%
1570 1
< 0.1%

2011-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct209
Distinct (%)7.5%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean34.262455
Minimum0
Maximum10977
Zeros768
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:32.564138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile103.55
Maximum10977
Range10977
Interquartile range (IQR)13

Descriptive statistics

Standard deviation298.87503
Coefficient of variation (CV)8.723106
Kurtosis873.1419
Mean34.262455
Median Absolute Deviation (MAD)2
Skewness27.520086
Sum94907
Variance89326.282
MonotonicityNot monotonic
2024-03-30T01:16:33.195956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 768
21.2%
1 421
11.6%
2 227
 
6.3%
3 136
 
3.8%
4 112
 
3.1%
5 91
 
2.5%
7 65
 
1.8%
6 55
 
1.5%
8 47
 
1.3%
10 42
 
1.2%
Other values (199) 806
22.2%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 768
21.2%
1 421
11.6%
2 227
 
6.3%
3 136
 
3.8%
4 112
 
3.1%
5 91
 
2.5%
6 55
 
1.5%
7 65
 
1.8%
8 47
 
1.3%
9 37
 
1.0%
ValueCountFrequency (%)
10977 1
< 0.1%
7801 1
< 0.1%
5989 1
< 0.1%
2599 1
< 0.1%
1860 1
< 0.1%
1821 1
< 0.1%
1650 1
< 0.1%
1525 1
< 0.1%
1082 1
< 0.1%
958 1
< 0.1%

2011-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct201
Distinct (%)7.3%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean35.905776
Minimum0
Maximum11753
Zeros771
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:33.842867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile100.1
Maximum11753
Range11753
Interquartile range (IQR)13

Descriptive statistics

Standard deviation310.9159
Coefficient of variation (CV)8.6592167
Kurtosis915.36607
Mean35.905776
Median Absolute Deviation (MAD)2
Skewness27.886579
Sum99459
Variance96668.695
MonotonicityNot monotonic
2024-03-30T01:16:34.495719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 771
21.3%
1 426
11.8%
2 218
 
6.0%
3 155
 
4.3%
4 99
 
2.7%
5 88
 
2.4%
6 70
 
1.9%
7 57
 
1.6%
8 45
 
1.2%
9 39
 
1.1%
Other values (191) 802
22.1%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 771
21.3%
1 426
11.8%
2 218
 
6.0%
3 155
 
4.3%
4 99
 
2.7%
5 88
 
2.4%
6 70
 
1.9%
7 57
 
1.6%
8 45
 
1.2%
9 39
 
1.1%
ValueCountFrequency (%)
11753 1
< 0.1%
7794 1
< 0.1%
5887 1
< 0.1%
2356 1
< 0.1%
1657 1
< 0.1%
1597 1
< 0.1%
1591 1
< 0.1%
1565 1
< 0.1%
1349 1
< 0.1%
1319 1
< 0.1%

2011-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct234
Distinct (%)8.4%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean43.268953
Minimum0
Maximum13735
Zeros567
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:34.955522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile120.55
Maximum13735
Range13735
Interquartile range (IQR)16

Descriptive statistics

Standard deviation374.26747
Coefficient of variation (CV)8.6497925
Kurtosis889.51216
Mean43.268953
Median Absolute Deviation (MAD)4
Skewness27.873996
Sum119855
Variance140076.14
MonotonicityNot monotonic
2024-03-30T01:16:35.408687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 567
15.6%
1 399
11.0%
2 219
 
6.0%
3 154
 
4.2%
4 127
 
3.5%
5 113
 
3.1%
6 99
 
2.7%
8 60
 
1.7%
7 60
 
1.7%
9 49
 
1.4%
Other values (224) 923
25.5%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 567
15.6%
1 399
11.0%
2 219
 
6.0%
3 154
 
4.2%
4 127
 
3.5%
5 113
 
3.1%
6 99
 
2.7%
7 60
 
1.7%
8 60
 
1.7%
9 49
 
1.4%
ValueCountFrequency (%)
13735 1
< 0.1%
10121 1
< 0.1%
7297 1
< 0.1%
3148 1
< 0.1%
2251 1
< 0.1%
2069 1
< 0.1%
1755 1
< 0.1%
1683 1
< 0.1%
1287 1
< 0.1%
1213 1
< 0.1%

2011-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct219
Distinct (%)7.9%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean41.223105
Minimum0
Maximum13135
Zeros570
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:35.920799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile113
Maximum13135
Range13135
Interquartile range (IQR)16

Descriptive statistics

Standard deviation351.65563
Coefficient of variation (CV)8.5305469
Kurtosis929.61606
Mean41.223105
Median Absolute Deviation (MAD)4
Skewness28.429888
Sum114188
Variance123661.68
MonotonicityNot monotonic
2024-03-30T01:16:36.397135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 570
15.7%
1 379
10.5%
2 223
 
6.2%
3 151
 
4.2%
4 131
 
3.6%
5 114
 
3.1%
6 83
 
2.3%
9 63
 
1.7%
7 61
 
1.7%
8 58
 
1.6%
Other values (209) 937
25.9%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 570
15.7%
1 379
10.5%
2 223
 
6.2%
3 151
 
4.2%
4 131
 
3.6%
5 114
 
3.1%
6 83
 
2.3%
7 61
 
1.7%
8 58
 
1.6%
9 63
 
1.7%
ValueCountFrequency (%)
13135 1
< 0.1%
9584 1
< 0.1%
6390 1
< 0.1%
2652 1
< 0.1%
2052 1
< 0.1%
1848 1
< 0.1%
1517 1
< 0.1%
1342 1
< 0.1%
1329 1
< 0.1%
1299 1
< 0.1%

2011-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct218
Distinct (%)7.9%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean39.426715
Minimum0
Maximum12686
Zeros575
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:36.798272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile109.55
Maximum12686
Range12686
Interquartile range (IQR)16

Descriptive statistics

Standard deviation333.23664
Coefficient of variation (CV)8.4520519
Kurtosis953.5325
Mean39.426715
Median Absolute Deviation (MAD)4
Skewness28.608664
Sum109212
Variance111046.66
MonotonicityNot monotonic
2024-03-30T01:16:37.511551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 575
15.9%
1 399
11.0%
2 227
 
6.3%
3 149
 
4.1%
4 108
 
3.0%
5 98
 
2.7%
6 96
 
2.6%
7 80
 
2.2%
8 55
 
1.5%
10 54
 
1.5%
Other values (208) 929
25.6%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 575
15.9%
1 399
11.0%
2 227
 
6.3%
3 149
 
4.1%
4 108
 
3.0%
5 98
 
2.7%
6 96
 
2.6%
7 80
 
2.2%
8 55
 
1.5%
9 49
 
1.4%
ValueCountFrequency (%)
12686 1
< 0.1%
8798 1
< 0.1%
5683 1
< 0.1%
2733 1
< 0.1%
2447 1
< 0.1%
1706 1
< 0.1%
1631 1
< 0.1%
1359 1
< 0.1%
1183 1
< 0.1%
1138 1
< 0.1%

2011-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct214
Distinct (%)7.7%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean38.161011
Minimum0
Maximum12353
Zeros552
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:37.939003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316.75
95-th percentile105
Maximum12353
Range12353
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation322.19442
Coefficient of variation (CV)8.4430264
Kurtosis972.78091
Mean38.161011
Median Absolute Deviation (MAD)4
Skewness28.911411
Sum105706
Variance103809.24
MonotonicityNot monotonic
2024-03-30T01:16:38.428328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 552
15.2%
1 382
10.5%
2 210
 
5.8%
3 198
 
5.5%
4 137
 
3.8%
5 89
 
2.5%
7 80
 
2.2%
6 79
 
2.2%
8 63
 
1.7%
9 53
 
1.5%
Other values (204) 927
25.6%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 552
15.2%
1 382
10.5%
2 210
 
5.8%
3 198
 
5.5%
4 137
 
3.8%
5 89
 
2.5%
6 79
 
2.2%
7 80
 
2.2%
8 63
 
1.7%
9 53
 
1.5%
ValueCountFrequency (%)
12353 1
< 0.1%
8492 1
< 0.1%
5462 1
< 0.1%
2564 1
< 0.1%
2200 1
< 0.1%
1554 1
< 0.1%
1344 1
< 0.1%
1343 1
< 0.1%
1157 1
< 0.1%
1034 1
< 0.1%

2011-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct206
Distinct (%)7.4%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean35.818773
Minimum0
Maximum11587
Zeros624
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:38.856216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314.75
95-th percentile101.1
Maximum11587
Range11587
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation305.45721
Coefficient of variation (CV)8.5278525
Kurtosis949.84152
Mean35.818773
Median Absolute Deviation (MAD)3
Skewness28.627202
Sum99218
Variance93304.107
MonotonicityNot monotonic
2024-03-30T01:16:39.446566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 624
17.2%
1 379
10.5%
2 220
 
6.1%
3 175
 
4.8%
4 126
 
3.5%
5 100
 
2.8%
6 90
 
2.5%
8 70
 
1.9%
7 62
 
1.7%
9 51
 
1.4%
Other values (196) 873
24.1%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 624
17.2%
1 379
10.5%
2 220
 
6.1%
3 175
 
4.8%
4 126
 
3.5%
5 100
 
2.8%
6 90
 
2.5%
7 62
 
1.7%
8 70
 
1.9%
9 51
 
1.4%
ValueCountFrequency (%)
11587 1
< 0.1%
8085 1
< 0.1%
5445 1
< 0.1%
2328 1
< 0.1%
2097 1
< 0.1%
1546 1
< 0.1%
1425 1
< 0.1%
1184 1
< 0.1%
1064 1
< 0.1%
986 1
< 0.1%

2011-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct208
Distinct (%)7.5%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean35.647653
Minimum0
Maximum11495
Zeros604
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:39.921098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile103.1
Maximum11495
Range11495
Interquartile range (IQR)14

Descriptive statistics

Standard deviation305.39853
Coefficient of variation (CV)8.5671425
Kurtosis938.2664
Mean35.647653
Median Absolute Deviation (MAD)3
Skewness28.517214
Sum98744
Variance93268.259
MonotonicityNot monotonic
2024-03-30T01:16:40.393342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 604
16.7%
1 386
10.7%
2 230
 
6.3%
3 184
 
5.1%
4 135
 
3.7%
5 91
 
2.5%
6 83
 
2.3%
7 72
 
2.0%
8 64
 
1.8%
9 48
 
1.3%
Other values (198) 873
24.1%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 604
16.7%
1 386
10.7%
2 230
 
6.3%
3 184
 
5.1%
4 135
 
3.7%
5 91
 
2.5%
6 83
 
2.3%
7 72
 
2.0%
8 64
 
1.8%
9 48
 
1.3%
ValueCountFrequency (%)
11495 1
< 0.1%
8183 1
< 0.1%
5531 1
< 0.1%
2335 1
< 0.1%
2041 1
< 0.1%
1655 1
< 0.1%
1242 1
< 0.1%
1228 1
< 0.1%
1165 1
< 0.1%
1089 1
< 0.1%

2011-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct200
Distinct (%)7.2%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean33.2787
Minimum0
Maximum10716
Zeros629
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:40.952143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile94.1
Maximum10716
Range10716
Interquartile range (IQR)13

Descriptive statistics

Standard deviation286.35986
Coefficient of variation (CV)8.6048992
Kurtosis923.29516
Mean33.2787
Median Absolute Deviation (MAD)3
Skewness28.269113
Sum92182
Variance82001.971
MonotonicityNot monotonic
2024-03-30T01:16:41.489964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 629
17.4%
1 414
11.4%
2 212
 
5.8%
3 162
 
4.5%
4 143
 
3.9%
5 112
 
3.1%
6 82
 
2.3%
7 62
 
1.7%
8 58
 
1.6%
9 57
 
1.6%
Other values (190) 839
23.2%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 629
17.4%
1 414
11.4%
2 212
 
5.8%
3 162
 
4.5%
4 143
 
3.9%
5 112
 
3.1%
6 82
 
2.3%
7 62
 
1.7%
8 58
 
1.6%
9 57
 
1.6%
ValueCountFrequency (%)
10716 1
< 0.1%
7697 1
< 0.1%
5130 1
< 0.1%
2423 1
< 0.1%
1828 1
< 0.1%
1787 1
< 0.1%
1312 1
< 0.1%
1310 1
< 0.1%
1146 1
< 0.1%
851 1
< 0.1%

2011-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct202
Distinct (%)7.3%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean34.307581
Minimum0
Maximum10902
Zeros601
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:42.130566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile94
Maximum10902
Range10902
Interquartile range (IQR)13

Descriptive statistics

Standard deviation294.77815
Coefficient of variation (CV)8.592216
Kurtosis915.59474
Mean34.307581
Median Absolute Deviation (MAD)3
Skewness28.278199
Sum95032
Variance86894.157
MonotonicityNot monotonic
2024-03-30T01:16:42.613447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 601
16.6%
1 396
10.9%
2 225
 
6.2%
3 178
 
4.9%
4 137
 
3.8%
5 98
 
2.7%
6 92
 
2.5%
7 66
 
1.8%
8 60
 
1.7%
10 58
 
1.6%
Other values (192) 859
23.7%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 601
16.6%
1 396
10.9%
2 225
 
6.2%
3 178
 
4.9%
4 137
 
3.8%
5 98
 
2.7%
6 92
 
2.5%
7 66
 
1.8%
8 60
 
1.7%
9 37
 
1.0%
ValueCountFrequency (%)
10902 1
< 0.1%
8149 1
< 0.1%
5394 1
< 0.1%
2327 1
< 0.1%
1727 1
< 0.1%
1705 1
< 0.1%
1282 1
< 0.1%
1245 1
< 0.1%
1227 1
< 0.1%
946 1
< 0.1%

2011-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct214
Distinct (%)7.7%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean36.591697
Minimum0
Maximum11700
Zeros588
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:43.109346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile105
Maximum11700
Range11700
Interquartile range (IQR)14

Descriptive statistics

Standard deviation312.85422
Coefficient of variation (CV)8.5498692
Kurtosis933.08196
Mean36.591697
Median Absolute Deviation (MAD)4
Skewness28.488235
Sum101359
Variance97877.764
MonotonicityNot monotonic
2024-03-30T01:16:43.669538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 588
16.2%
1 399
11.0%
2 212
 
5.8%
3 160
 
4.4%
4 138
 
3.8%
5 96
 
2.6%
6 90
 
2.5%
7 81
 
2.2%
8 67
 
1.8%
9 62
 
1.7%
Other values (204) 877
24.2%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 588
16.2%
1 399
11.0%
2 212
 
5.8%
3 160
 
4.4%
4 138
 
3.8%
5 96
 
2.6%
6 90
 
2.5%
7 81
 
2.2%
8 67
 
1.8%
9 62
 
1.7%
ValueCountFrequency (%)
11700 1
< 0.1%
8543 1
< 0.1%
5621 1
< 0.1%
2405 1
< 0.1%
1878 1
< 0.1%
1741 1
< 0.1%
1413 1
< 0.1%
1300 1
< 0.1%
1198 1
< 0.1%
1013 1
< 0.1%

2011-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct263
Distinct (%)9.5%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean52.197473
Minimum0
Maximum16692
Zeros533
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:44.144081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile150.55
Maximum16692
Range16692
Interquartile range (IQR)20

Descriptive statistics

Standard deviation444.88466
Coefficient of variation (CV)8.5231073
Kurtosis932.83848
Mean52.197473
Median Absolute Deviation (MAD)5
Skewness28.448921
Sum144587
Variance197922.36
MonotonicityNot monotonic
2024-03-30T01:16:44.724878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 533
14.7%
1 373
 
10.3%
2 196
 
5.4%
3 145
 
4.0%
5 112
 
3.1%
4 109
 
3.0%
6 90
 
2.5%
7 66
 
1.8%
10 57
 
1.6%
8 56
 
1.5%
Other values (253) 1033
28.5%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 533
14.7%
1 373
10.3%
2 196
 
5.4%
3 145
 
4.0%
4 109
 
3.0%
5 112
 
3.1%
6 90
 
2.5%
7 66
 
1.8%
8 56
 
1.5%
9 51
 
1.4%
ValueCountFrequency (%)
16692 1
< 0.1%
11969 1
< 0.1%
8092 1
< 0.1%
3370 1
< 0.1%
3100 1
< 0.1%
2388 1
< 0.1%
1990 1
< 0.1%
1692 1
< 0.1%
1565 1
< 0.1%
1548 1
< 0.1%

2012-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct167
Distinct (%)6.0%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean22.525993
Minimum0
Maximum7641
Zeros789
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:45.261558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile62.55
Maximum7641
Range7641
Interquartile range (IQR)9

Descriptive statistics

Standard deviation191.64981
Coefficient of variation (CV)8.5079408
Kurtosis1032.3086
Mean22.525993
Median Absolute Deviation (MAD)2
Skewness29.345765
Sum62397
Variance36729.651
MonotonicityNot monotonic
2024-03-30T01:16:45.953201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 789
21.8%
1 419
11.6%
2 261
 
7.2%
3 175
 
4.8%
4 122
 
3.4%
5 97
 
2.7%
6 73
 
2.0%
7 58
 
1.6%
8 54
 
1.5%
9 43
 
1.2%
Other values (157) 679
18.7%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 789
21.8%
1 419
11.6%
2 261
 
7.2%
3 175
 
4.8%
4 122
 
3.4%
5 97
 
2.7%
6 73
 
2.0%
7 58
 
1.6%
8 54
 
1.5%
9 43
 
1.2%
ValueCountFrequency (%)
7641 1
< 0.1%
4448 1
< 0.1%
3071 1
< 0.1%
1860 1
< 0.1%
1562 1
< 0.1%
1137 1
< 0.1%
860 1
< 0.1%
779 1
< 0.1%
712 1
< 0.1%
647 1
< 0.1%

2012-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct186
Distinct (%)6.7%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean31.930325
Minimum0
Maximum10814
Zeros663
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:46.538806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile88
Maximum10814
Range10814
Interquartile range (IQR)12

Descriptive statistics

Standard deviation270.94012
Coefficient of variation (CV)8.4853544
Kurtosis1033.2392
Mean31.930325
Median Absolute Deviation (MAD)3
Skewness29.245864
Sum88447
Variance73408.551
MonotonicityNot monotonic
2024-03-30T01:16:47.061414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 663
18.3%
1 399
11.0%
2 252
 
7.0%
3 164
 
4.5%
4 129
 
3.6%
6 88
 
2.4%
5 85
 
2.3%
8 71
 
2.0%
9 49
 
1.4%
7 48
 
1.3%
Other values (176) 822
22.7%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 663
18.3%
1 399
11.0%
2 252
 
7.0%
3 164
 
4.5%
4 129
 
3.6%
5 85
 
2.3%
6 88
 
2.4%
7 48
 
1.3%
8 71
 
2.0%
9 49
 
1.4%
ValueCountFrequency (%)
10814 1
< 0.1%
6328 1
< 0.1%
4117 1
< 0.1%
2239 1
< 0.1%
2018 1
< 0.1%
1827 1
< 0.1%
1599 1
< 0.1%
1161 1
< 0.1%
1153 1
< 0.1%
1042 1
< 0.1%

2012-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct207
Distinct (%)7.5%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean35.456318
Minimum0
Maximum11875
Zeros585
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:47.541284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile97.55
Maximum11875
Range11875
Interquartile range (IQR)14

Descriptive statistics

Standard deviation300.86771
Coefficient of variation (CV)8.4855881
Kurtosis1008.108
Mean35.456318
Median Absolute Deviation (MAD)3
Skewness28.978761
Sum98214
Variance90521.378
MonotonicityNot monotonic
2024-03-30T01:16:48.126808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 585
16.1%
1 415
11.5%
2 235
 
6.5%
3 176
 
4.9%
4 149
 
4.1%
5 106
 
2.9%
6 68
 
1.9%
7 66
 
1.8%
8 55
 
1.5%
10 49
 
1.4%
Other values (197) 866
23.9%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 585
16.1%
1 415
11.5%
2 235
6.5%
3 176
 
4.9%
4 149
 
4.1%
5 106
 
2.9%
6 68
 
1.9%
7 66
 
1.8%
8 55
 
1.5%
9 46
 
1.3%
ValueCountFrequency (%)
11875 1
< 0.1%
7219 1
< 0.1%
4743 1
< 0.1%
2505 1
< 0.1%
2196 1
< 0.1%
1668 1
< 0.1%
1615 1
< 0.1%
1539 1
< 0.1%
1353 1
< 0.1%
1144 1
< 0.1%

2012-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct199
Distinct (%)7.2%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean33.106498
Minimum0
Maximum10771
Zeros591
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:48.685510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile90.55
Maximum10771
Range10771
Interquartile range (IQR)14

Descriptive statistics

Standard deviation279.26286
Coefficient of variation (CV)8.4352884
Kurtosis977.92232
Mean33.106498
Median Absolute Deviation (MAD)3
Skewness28.889057
Sum91705
Variance77987.745
MonotonicityNot monotonic
2024-03-30T01:16:49.270873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 591
16.3%
1 413
11.4%
2 225
 
6.2%
3 159
 
4.4%
4 125
 
3.4%
6 93
 
2.6%
5 89
 
2.5%
8 71
 
2.0%
7 68
 
1.9%
10 52
 
1.4%
Other values (189) 884
24.4%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 591
16.3%
1 413
11.4%
2 225
 
6.2%
3 159
 
4.4%
4 125
 
3.4%
5 89
 
2.5%
6 93
 
2.6%
7 68
 
1.9%
8 71
 
2.0%
9 46
 
1.3%
ValueCountFrequency (%)
10771 1
< 0.1%
7240 1
< 0.1%
4604 1
< 0.1%
2287 1
< 0.1%
2014 1
< 0.1%
1532 1
< 0.1%
1279 1
< 0.1%
1169 1
< 0.1%
1054 1
< 0.1%
932 1
< 0.1%

2012-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct199
Distinct (%)7.2%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean32.783032
Minimum0
Maximum10667
Zeros603
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:49.832102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile90
Maximum10667
Range10667
Interquartile range (IQR)14

Descriptive statistics

Standard deviation278.36827
Coefficient of variation (CV)8.4912299
Kurtosis969.51718
Mean32.783032
Median Absolute Deviation (MAD)3
Skewness28.847235
Sum90809
Variance77488.892
MonotonicityNot monotonic
2024-03-30T01:16:50.518429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 603
16.6%
1 377
10.4%
2 226
 
6.2%
3 189
 
5.2%
4 121
 
3.3%
5 106
 
2.9%
6 92
 
2.5%
7 73
 
2.0%
8 64
 
1.8%
9 51
 
1.4%
Other values (189) 868
24.0%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 603
16.6%
1 377
10.4%
2 226
 
6.2%
3 189
 
5.2%
4 121
 
3.3%
5 106
 
2.9%
6 92
 
2.5%
7 73
 
2.0%
8 64
 
1.8%
9 51
 
1.4%
ValueCountFrequency (%)
10667 1
< 0.1%
7328 1
< 0.1%
4666 1
< 0.1%
2272 1
< 0.1%
2000 1
< 0.1%
1481 1
< 0.1%
1238 1
< 0.1%
1222 1
< 0.1%
1004 1
< 0.1%
924 1
< 0.1%

2012-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct191
Distinct (%)6.9%
Missing854
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean31.972924
Minimum0
Maximum10593
Zeros615
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:51.084428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile86
Maximum10593
Range10593
Interquartile range (IQR)13

Descriptive statistics

Standard deviation271.72324
Coefficient of variation (CV)8.4985421
Kurtosis998.7816
Mean31.972924
Median Absolute Deviation (MAD)3
Skewness29.133729
Sum88565
Variance73833.521
MonotonicityNot monotonic
2024-03-30T01:16:51.515398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 615
17.0%
1 410
11.3%
2 220
 
6.1%
3 172
 
4.7%
4 127
 
3.5%
5 114
 
3.1%
6 94
 
2.6%
8 63
 
1.7%
7 60
 
1.7%
9 49
 
1.4%
Other values (181) 846
23.3%
(Missing) 854
23.6%
ValueCountFrequency (%)
0 615
17.0%
1 410
11.3%
2 220
 
6.1%
3 172
 
4.7%
4 127
 
3.5%
5 114
 
3.1%
6 94
 
2.6%
7 60
 
1.7%
8 63
 
1.7%
9 49
 
1.4%
ValueCountFrequency (%)
10593 1
< 0.1%
6885 1
< 0.1%
4503 1
< 0.1%
2081 1
< 0.1%
2023 1
< 0.1%
1312 1
< 0.1%
1221 1
< 0.1%
1078 1
< 0.1%
957 1
< 0.1%
891 1
< 0.1%

2012-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct201
Distinct (%)7.2%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean30.958273
Minimum0
Maximum10250
Zeros607
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:51.957730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile94
Maximum10250
Range10250
Interquartile range (IQR)13

Descriptive statistics

Standard deviation261.08616
Coefficient of variation (CV)8.4334859
Kurtosis1014.73
Mean30.958273
Median Absolute Deviation (MAD)3
Skewness29.363501
Sum86064
Variance68165.984
MonotonicityNot monotonic
2024-03-30T01:16:52.425837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 607
16.7%
1 406
11.2%
2 243
 
6.7%
3 174
 
4.8%
4 134
 
3.7%
5 109
 
3.0%
6 76
 
2.1%
7 68
 
1.9%
8 53
 
1.5%
9 49
 
1.4%
Other values (191) 861
23.8%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 607
16.7%
1 406
11.2%
2 243
6.7%
3 174
 
4.8%
4 134
 
3.7%
5 109
 
3.0%
6 76
 
2.1%
7 68
 
1.9%
8 53
 
1.5%
9 49
 
1.4%
ValueCountFrequency (%)
10250 1
< 0.1%
6592 1
< 0.1%
4228 1
< 0.1%
2172 1
< 0.1%
1937 1
< 0.1%
1391 1
< 0.1%
1210 1
< 0.1%
1119 1
< 0.1%
962 1
< 0.1%
959 1
< 0.1%

2012-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct200
Distinct (%)7.2%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean34.142086
Minimum0
Maximum11390
Zeros679
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:52.863299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile95
Maximum11390
Range11390
Interquartile range (IQR)11

Descriptive statistics

Standard deviation293.2973
Coefficient of variation (CV)8.5904916
Kurtosis941.69058
Mean34.142086
Median Absolute Deviation (MAD)3
Skewness27.794301
Sum94915
Variance86023.309
MonotonicityNot monotonic
2024-03-30T01:16:53.379627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 679
18.7%
1 387
10.7%
2 249
 
6.9%
3 176
 
4.9%
4 145
 
4.0%
5 110
 
3.0%
7 70
 
1.9%
6 69
 
1.9%
8 53
 
1.5%
10 45
 
1.2%
Other values (190) 797
22.0%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 679
18.7%
1 387
10.7%
2 249
 
6.9%
3 176
 
4.9%
4 145
 
4.0%
5 110
 
3.0%
6 69
 
1.9%
7 70
 
1.9%
8 53
 
1.5%
9 43
 
1.2%
ValueCountFrequency (%)
11390 1
< 0.1%
6845 1
< 0.1%
4617 1
< 0.1%
2944 1
< 0.1%
2822 1
< 0.1%
1852 1
< 0.1%
1484 1
< 0.1%
1364 2
0.1%
1187 2
0.1%
1108 1
< 0.1%

2012-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct186
Distinct (%)6.7%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean228.38993
Minimum0
Maximum102436
Zeros722
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:53.831631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile81.05
Maximum102436
Range102436
Interquartile range (IQR)11

Descriptive statistics

Standard deviation4434.2674
Coefficient of variation (CV)19.415337
Kurtosis460.27586
Mean228.38993
Median Absolute Deviation (MAD)2
Skewness21.469079
Sum634924
Variance19662728
MonotonicityNot monotonic
2024-03-30T01:16:54.264283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 722
19.9%
1 421
11.6%
2 254
 
7.0%
3 171
 
4.7%
4 138
 
3.8%
5 84
 
2.3%
6 84
 
2.3%
7 59
 
1.6%
8 55
 
1.5%
10 40
 
1.1%
Other values (176) 752
20.8%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 722
19.9%
1 421
11.6%
2 254
 
7.0%
3 171
 
4.7%
4 138
 
3.8%
5 84
 
2.3%
6 84
 
2.3%
7 59
 
1.6%
8 55
 
1.5%
9 39
 
1.1%
ValueCountFrequency (%)
102436 1
< 0.1%
94608 1
< 0.1%
94071 1
< 0.1%
93906 1
< 0.1%
93852 1
< 0.1%
93848 1
< 0.1%
5465 1
< 0.1%
3531 1
< 0.1%
1971 1
< 0.1%
1779 1
< 0.1%

2012-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct201
Distinct (%)7.2%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean32.892086
Minimum0
Maximum10598
Zeros646
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:54.756369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile97.1
Maximum10598
Range10598
Interquartile range (IQR)13

Descriptive statistics

Standard deviation283.93089
Coefficient of variation (CV)8.6321947
Kurtosis925.29322
Mean32.892086
Median Absolute Deviation (MAD)3
Skewness28.356775
Sum91440
Variance80616.753
MonotonicityNot monotonic
2024-03-30T01:16:55.232211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 646
17.8%
1 371
10.2%
2 234
 
6.5%
3 165
 
4.6%
4 130
 
3.6%
5 105
 
2.9%
6 104
 
2.9%
7 76
 
2.1%
8 62
 
1.7%
10 48
 
1.3%
Other values (191) 839
23.2%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 646
17.8%
1 371
10.2%
2 234
 
6.5%
3 165
 
4.6%
4 130
 
3.6%
5 105
 
2.9%
6 104
 
2.9%
7 76
 
2.1%
8 62
 
1.7%
9 37
 
1.0%
ValueCountFrequency (%)
10598 1
< 0.1%
7741 1
< 0.1%
5161 1
< 0.1%
2209 1
< 0.1%
1802 1
< 0.1%
1677 1
< 0.1%
1266 1
< 0.1%
1226 1
< 0.1%
1168 1
< 0.1%
918 1
< 0.1%

2012-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct212
Distinct (%)7.6%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean35.719424
Minimum0
Maximum11593
Zeros603
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:55.699398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile100.05
Maximum11593
Range11593
Interquartile range (IQR)14

Descriptive statistics

Standard deviation306.83719
Coefficient of variation (CV)8.5902053
Kurtosis940.65873
Mean35.719424
Median Absolute Deviation (MAD)4
Skewness28.51678
Sum99300
Variance94149.061
MonotonicityNot monotonic
2024-03-30T01:16:56.148510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 603
16.6%
1 374
10.3%
2 242
 
6.7%
3 164
 
4.5%
4 137
 
3.8%
5 124
 
3.4%
6 88
 
2.4%
7 75
 
2.1%
9 60
 
1.7%
8 51
 
1.4%
Other values (202) 862
23.8%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 603
16.6%
1 374
10.3%
2 242
6.7%
3 164
 
4.5%
4 137
 
3.8%
5 124
 
3.4%
6 88
 
2.4%
7 75
 
2.1%
8 51
 
1.4%
9 60
 
1.7%
ValueCountFrequency (%)
11593 1
< 0.1%
8154 1
< 0.1%
5575 1
< 0.1%
2422 1
< 0.1%
2075 1
< 0.1%
1675 1
< 0.1%
1457 1
< 0.1%
1233 1
< 0.1%
1137 1
< 0.1%
909 2
0.1%

2012-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct246
Distinct (%)8.8%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean48.158633
Minimum0
Maximum15307
Zeros576
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:56.546129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q320
95-th percentile137.05
Maximum15307
Range15307
Interquartile range (IQR)19

Descriptive statistics

Standard deviation414.20205
Coefficient of variation (CV)8.600785
Kurtosis906.60938
Mean48.158633
Median Absolute Deviation (MAD)4
Skewness28.118554
Sum133881
Variance171563.34
MonotonicityNot monotonic
2024-03-30T01:16:57.044392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 576
15.9%
1 345
 
9.5%
2 228
 
6.3%
3 158
 
4.4%
4 127
 
3.5%
6 97
 
2.7%
5 96
 
2.6%
9 62
 
1.7%
7 60
 
1.7%
8 53
 
1.5%
Other values (236) 978
27.0%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 576
15.9%
1 345
9.5%
2 228
 
6.3%
3 158
 
4.4%
4 127
 
3.5%
5 96
 
2.6%
6 97
 
2.7%
7 60
 
1.7%
8 53
 
1.5%
9 62
 
1.7%
ValueCountFrequency (%)
15307 1
< 0.1%
11298 1
< 0.1%
7909 1
< 0.1%
3238 1
< 0.1%
2389 1
< 0.1%
2308 1
< 0.1%
1859 1
< 0.1%
1753 1
< 0.1%
1377 1
< 0.1%
1215 1
< 0.1%

2013-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct180
Distinct (%)6.5%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean24.469424
Minimum0
Maximum8352
Zeros819
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:57.496015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile77
Maximum8352
Range8352
Interquartile range (IQR)10

Descriptive statistics

Standard deviation207.06675
Coefficient of variation (CV)8.4622646
Kurtosis1049.0438
Mean24.469424
Median Absolute Deviation (MAD)2
Skewness29.39733
Sum68025
Variance42876.637
MonotonicityNot monotonic
2024-03-30T01:16:57.967262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 819
22.6%
1 387
10.7%
2 238
 
6.6%
3 181
 
5.0%
4 142
 
3.9%
5 91
 
2.5%
6 77
 
2.1%
7 66
 
1.8%
10 39
 
1.1%
8 39
 
1.1%
Other values (170) 701
19.3%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 819
22.6%
1 387
10.7%
2 238
 
6.6%
3 181
 
5.0%
4 142
 
3.9%
5 91
 
2.5%
6 77
 
2.1%
7 66
 
1.8%
8 39
 
1.1%
9 34
 
0.9%
ValueCountFrequency (%)
8352 1
< 0.1%
4544 1
< 0.1%
3086 1
< 0.1%
2360 1
< 0.1%
1952 1
< 0.1%
1193 1
< 0.1%
1100 1
< 0.1%
964 1
< 0.1%
766 1
< 0.1%
744 1
< 0.1%

2013-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct186
Distinct (%)6.7%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean26.819065
Minimum0
Maximum8834
Zeros734
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:58.415482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile79.05
Maximum8834
Range8834
Interquartile range (IQR)12

Descriptive statistics

Standard deviation225.65165
Coefficient of variation (CV)8.4138524
Kurtosis988.86517
Mean26.819065
Median Absolute Deviation (MAD)2
Skewness28.836899
Sum74557
Variance50918.669
MonotonicityNot monotonic
2024-03-30T01:16:58.837988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 734
20.3%
1 433
11.9%
2 238
 
6.6%
3 185
 
5.1%
4 128
 
3.5%
5 86
 
2.4%
6 73
 
2.0%
7 62
 
1.7%
8 47
 
1.3%
9 39
 
1.1%
Other values (176) 755
20.8%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 734
20.3%
1 433
11.9%
2 238
 
6.6%
3 185
 
5.1%
4 128
 
3.5%
5 86
 
2.4%
6 73
 
2.0%
7 62
 
1.7%
8 47
 
1.3%
9 39
 
1.1%
ValueCountFrequency (%)
8834 1
< 0.1%
5474 1
< 0.1%
3767 1
< 0.1%
2263 1
< 0.1%
1638 1
< 0.1%
1315 1
< 0.1%
976 1
< 0.1%
951 2
0.1%
794 1
< 0.1%
770 1
< 0.1%

2013-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct196
Distinct (%)7.1%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean32.689568
Minimum0
Maximum10778
Zeros621
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:16:59.493854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile95.05
Maximum10778
Range10778
Interquartile range (IQR)14

Descriptive statistics

Standard deviation277.09097
Coefficient of variation (CV)8.4764341
Kurtosis996.1715
Mean32.689568
Median Absolute Deviation (MAD)3
Skewness29.182247
Sum90877
Variance76779.407
MonotonicityNot monotonic
2024-03-30T01:16:59.929726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 621
17.1%
1 401
11.1%
2 216
 
6.0%
3 180
 
5.0%
4 125
 
3.4%
5 120
 
3.3%
6 92
 
2.5%
7 62
 
1.7%
8 59
 
1.6%
9 55
 
1.5%
Other values (186) 849
23.4%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 621
17.1%
1 401
11.1%
2 216
 
6.0%
3 180
 
5.0%
4 125
 
3.4%
5 120
 
3.3%
6 92
 
2.5%
7 62
 
1.7%
8 59
 
1.6%
9 55
 
1.5%
ValueCountFrequency (%)
10778 1
< 0.1%
7073 1
< 0.1%
4764 1
< 0.1%
2100 1
< 0.1%
1945 1
< 0.1%
1404 1
< 0.1%
1369 1
< 0.1%
1079 1
< 0.1%
1025 1
< 0.1%
887 1
< 0.1%

2013-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct220
Distinct (%)7.9%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean39.467986
Minimum0
Maximum12933
Zeros574
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:00.338042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile106
Maximum12933
Range12933
Interquartile range (IQR)16

Descriptive statistics

Standard deviation337.3001
Coefficient of variation (CV)8.5461697
Kurtosis962.36368
Mean39.467986
Median Absolute Deviation (MAD)4
Skewness28.712031
Sum109721
Variance113771.36
MonotonicityNot monotonic
2024-03-30T01:17:00.821539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 574
15.8%
1 357
 
9.9%
2 224
 
6.2%
3 168
 
4.6%
4 128
 
3.5%
5 115
 
3.2%
6 95
 
2.6%
7 83
 
2.3%
8 61
 
1.7%
9 53
 
1.5%
Other values (210) 922
25.4%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 574
15.8%
1 357
9.9%
2 224
 
6.2%
3 168
 
4.6%
4 128
 
3.5%
5 115
 
3.2%
6 95
 
2.6%
7 83
 
2.3%
8 61
 
1.7%
9 53
 
1.5%
ValueCountFrequency (%)
12933 1
< 0.1%
8740 1
< 0.1%
5879 1
< 0.1%
2708 1
< 0.1%
2558 1
< 0.1%
1830 1
< 0.1%
1551 1
< 0.1%
1336 1
< 0.1%
1292 1
< 0.1%
1258 1
< 0.1%

2013-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct220
Distinct (%)7.9%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean42.87554
Minimum0
Maximum13842
Zeros558
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:01.318094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile121.05
Maximum13842
Range13842
Interquartile range (IQR)17

Descriptive statistics

Standard deviation368.69538
Coefficient of variation (CV)8.5992008
Kurtosis929.94481
Mean42.87554
Median Absolute Deviation (MAD)4
Skewness28.384188
Sum119194
Variance135936.28
MonotonicityNot monotonic
2024-03-30T01:17:01.808752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558
15.4%
1 382
10.5%
2 211
 
5.8%
3 152
 
4.2%
4 127
 
3.5%
5 121
 
3.3%
7 89
 
2.5%
6 81
 
2.2%
8 64
 
1.8%
9 60
 
1.7%
Other values (210) 935
25.8%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 558
15.4%
1 382
10.5%
2 211
 
5.8%
3 152
 
4.2%
4 127
 
3.5%
5 121
 
3.3%
6 81
 
2.2%
7 89
 
2.5%
8 64
 
1.8%
9 60
 
1.7%
ValueCountFrequency (%)
13842 1
< 0.1%
9875 1
< 0.1%
6783 1
< 0.1%
2955 1
< 0.1%
2205 1
< 0.1%
2099 1
< 0.1%
1741 1
< 0.1%
1555 1
< 0.1%
1358 1
< 0.1%
1212 1
< 0.1%

2013-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct283
Distinct (%)10.2%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean58.647482
Minimum0
Maximum18495
Zeros529
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:02.513772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile166
Maximum18495
Range18495
Interquartile range (IQR)21

Descriptive statistics

Standard deviation508.19887
Coefficient of variation (CV)8.6653144
Kurtosis889.51363
Mean58.647482
Median Absolute Deviation (MAD)5
Skewness27.915094
Sum163040
Variance258266.09
MonotonicityNot monotonic
2024-03-30T01:17:03.043416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 529
14.6%
1 348
 
9.6%
2 217
 
6.0%
3 157
 
4.3%
4 115
 
3.2%
6 94
 
2.6%
5 94
 
2.6%
7 65
 
1.8%
9 64
 
1.8%
10 58
 
1.6%
Other values (273) 1039
28.7%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 529
14.6%
1 348
9.6%
2 217
6.0%
3 157
 
4.3%
4 115
 
3.2%
5 94
 
2.6%
6 94
 
2.6%
7 65
 
1.8%
8 57
 
1.6%
9 64
 
1.8%
ValueCountFrequency (%)
18495 1
< 0.1%
14237 1
< 0.1%
9725 1
< 0.1%
3768 1
< 0.1%
3039 1
< 0.1%
2764 1
< 0.1%
2222 1
< 0.1%
2079 1
< 0.1%
1863 1
< 0.1%
1606 1
< 0.1%

2013-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct199
Distinct (%)7.2%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean29.747122
Minimum0
Maximum9969
Zeros689
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:03.456351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile92.05
Maximum9969
Range9969
Interquartile range (IQR)11

Descriptive statistics

Standard deviation253.70509
Coefficient of variation (CV)8.5287273
Kurtosis997.19229
Mean29.747122
Median Absolute Deviation (MAD)3
Skewness28.958877
Sum82697
Variance64366.275
MonotonicityNot monotonic
2024-03-30T01:17:03.872292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 689
19.0%
1 410
11.3%
2 228
 
6.3%
3 177
 
4.9%
4 119
 
3.3%
5 97
 
2.7%
6 85
 
2.3%
7 70
 
1.9%
9 58
 
1.6%
8 54
 
1.5%
Other values (189) 793
21.9%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 689
19.0%
1 410
11.3%
2 228
 
6.3%
3 177
 
4.9%
4 119
 
3.3%
5 97
 
2.7%
6 85
 
2.3%
7 70
 
1.9%
8 54
 
1.5%
9 58
 
1.6%
ValueCountFrequency (%)
9969 1
< 0.1%
6094 1
< 0.1%
4252 1
< 0.1%
2378 1
< 0.1%
2175 1
< 0.1%
1329 1
< 0.1%
1292 1
< 0.1%
1025 1
< 0.1%
933 1
< 0.1%
898 1
< 0.1%

2013-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct182
Distinct (%)6.5%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean27.78741
Minimum0
Maximum9174
Zeros693
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:04.328768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile83.05
Maximum9174
Range9174
Interquartile range (IQR)11

Descriptive statistics

Standard deviation235.90156
Coefficient of variation (CV)8.4895122
Kurtosis987.8548
Mean27.78741
Median Absolute Deviation (MAD)3
Skewness28.985197
Sum77249
Variance55649.545
MonotonicityNot monotonic
2024-03-30T01:17:04.785682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 693
19.1%
1 382
10.5%
2 263
 
7.3%
3 169
 
4.7%
4 120
 
3.3%
5 115
 
3.2%
6 75
 
2.1%
8 64
 
1.8%
7 63
 
1.7%
9 40
 
1.1%
Other values (172) 796
22.0%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 693
19.1%
1 382
10.5%
2 263
 
7.3%
3 169
 
4.7%
4 120
 
3.3%
5 115
 
3.2%
6 75
 
2.1%
7 63
 
1.7%
8 64
 
1.8%
9 40
 
1.1%
ValueCountFrequency (%)
9174 1
< 0.1%
5957 1
< 0.1%
3971 1
< 0.1%
2025 1
< 0.1%
1853 1
< 0.1%
1246 1
< 0.1%
1059 1
< 0.1%
932 1
< 0.1%
862 1
< 0.1%
836 1
< 0.1%

2013-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct182
Distinct (%)6.5%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean28.100717
Minimum0
Maximum9219
Zeros702
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:05.221386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312.75
95-th percentile75
Maximum9219
Range9219
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation240.283
Coefficient of variation (CV)8.5507782
Kurtosis956.74227
Mean28.100717
Median Absolute Deviation (MAD)3
Skewness28.578291
Sum78401
Variance57735.919
MonotonicityNot monotonic
2024-03-30T01:17:05.651955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 702
19.4%
1 418
11.5%
2 221
 
6.1%
3 182
 
5.0%
4 136
 
3.8%
5 99
 
2.7%
6 77
 
2.1%
8 64
 
1.8%
7 63
 
1.7%
9 38
 
1.0%
Other values (172) 790
21.8%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 702
19.4%
1 418
11.5%
2 221
 
6.1%
3 182
 
5.0%
4 136
 
3.8%
5 99
 
2.7%
6 77
 
2.1%
7 63
 
1.7%
8 64
 
1.8%
9 38
 
1.0%
ValueCountFrequency (%)
9219 1
< 0.1%
6187 1
< 0.1%
4151 1
< 0.1%
2106 1
< 0.1%
1902 1
< 0.1%
1433 1
< 0.1%
1167 1
< 0.1%
1051 1
< 0.1%
909 1
< 0.1%
767 1
< 0.1%

2013-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct220
Distinct (%)7.9%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean41.342086
Minimum0
Maximum13148
Zeros573
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:06.067428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile119
Maximum13148
Range13148
Interquartile range (IQR)17

Descriptive statistics

Standard deviation357.72679
Coefficient of variation (CV)8.6528481
Kurtosis893.87749
Mean41.342086
Median Absolute Deviation (MAD)4
Skewness27.929066
Sum114931
Variance127968.46
MonotonicityNot monotonic
2024-03-30T01:17:06.484066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 573
15.8%
1 392
10.8%
2 206
 
5.7%
4 154
 
4.2%
3 152
 
4.2%
5 119
 
3.3%
6 93
 
2.6%
7 80
 
2.2%
8 58
 
1.6%
9 53
 
1.5%
Other values (210) 900
24.8%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 573
15.8%
1 392
10.8%
2 206
 
5.7%
3 152
 
4.2%
4 154
 
4.2%
5 119
 
3.3%
6 93
 
2.6%
7 80
 
2.2%
8 58
 
1.6%
9 53
 
1.5%
ValueCountFrequency (%)
13148 1
< 0.1%
9772 1
< 0.1%
6816 1
< 0.1%
3023 1
< 0.1%
2287 1
< 0.1%
2071 1
< 0.1%
1742 1
< 0.1%
1610 1
< 0.1%
1259 1
< 0.1%
1202 1
< 0.1%

2013-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct223
Distinct (%)8.0%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean40.371583
Minimum0
Maximum12912
Zeros592
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:06.917957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile114
Maximum12912
Range12912
Interquartile range (IQR)16

Descriptive statistics

Standard deviation349.15259
Coefficient of variation (CV)8.6484742
Kurtosis901.60285
Mean40.371583
Median Absolute Deviation (MAD)4
Skewness28.009251
Sum112233
Variance121907.53
MonotonicityNot monotonic
2024-03-30T01:17:07.392555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 592
16.3%
1 392
10.8%
2 231
 
6.4%
3 149
 
4.1%
4 135
 
3.7%
5 105
 
2.9%
6 96
 
2.6%
8 72
 
2.0%
7 67
 
1.8%
9 51
 
1.4%
Other values (213) 890
24.6%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 592
16.3%
1 392
10.8%
2 231
 
6.4%
3 149
 
4.1%
4 135
 
3.7%
5 105
 
2.9%
6 96
 
2.6%
7 67
 
1.8%
8 72
 
2.0%
9 51
 
1.4%
ValueCountFrequency (%)
12912 1
< 0.1%
9460 1
< 0.1%
6562 1
< 0.1%
3164 1
< 0.1%
2146 1
< 0.1%
1946 1
< 0.1%
1609 1
< 0.1%
1521 1
< 0.1%
1150 1
< 0.1%
1137 1
< 0.1%

2013-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)8.9%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean50.214748
Minimum0
Maximum16525
Zeros563
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:07.906928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q320.25
95-th percentile136
Maximum16525
Range16525
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation432.27123
Coefficient of variation (CV)8.6084516
Kurtosis940.93297
Mean50.214748
Median Absolute Deviation (MAD)4
Skewness28.284814
Sum139597
Variance186858.41
MonotonicityNot monotonic
2024-03-30T01:17:08.368315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 563
15.5%
1 336
 
9.3%
2 235
 
6.5%
3 144
 
4.0%
4 125
 
3.4%
5 103
 
2.8%
6 98
 
2.7%
7 81
 
2.2%
8 60
 
1.7%
10 57
 
1.6%
Other values (237) 978
27.0%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 563
15.5%
1 336
9.3%
2 235
6.5%
3 144
 
4.0%
4 125
 
3.4%
5 103
 
2.8%
6 98
 
2.7%
7 81
 
2.2%
8 60
 
1.7%
9 42
 
1.2%
ValueCountFrequency (%)
16525 1
< 0.1%
10918 1
< 0.1%
7607 1
< 0.1%
4476 1
< 0.1%
2601 1
< 0.1%
2341 1
< 0.1%
2107 1
< 0.1%
2014 1
< 0.1%
1667 1
< 0.1%
1356 1
< 0.1%

2014-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct206
Distinct (%)7.4%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean34.765108
Minimum0
Maximum11157
Zeros668
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:08.819324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile108
Maximum11157
Range11157
Interquartile range (IQR)13

Descriptive statistics

Standard deviation301.63841
Coefficient of variation (CV)8.6764698
Kurtosis902.17792
Mean34.765108
Median Absolute Deviation (MAD)3
Skewness28.033318
Sum96647
Variance90985.729
MonotonicityNot monotonic
2024-03-30T01:17:09.365097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 668
18.4%
1 380
10.5%
2 262
 
7.2%
3 173
 
4.8%
4 124
 
3.4%
5 94
 
2.6%
6 90
 
2.5%
7 60
 
1.7%
8 56
 
1.5%
9 44
 
1.2%
Other values (196) 829
22.9%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 668
18.4%
1 380
10.5%
2 262
 
7.2%
3 173
 
4.8%
4 124
 
3.4%
5 94
 
2.6%
6 90
 
2.5%
7 60
 
1.7%
8 56
 
1.5%
9 44
 
1.2%
ValueCountFrequency (%)
11157 1
< 0.1%
8135 1
< 0.1%
5800 1
< 0.1%
2485 1
< 0.1%
1890 1
< 0.1%
1679 1
< 0.1%
1414 1
< 0.1%
1273 1
< 0.1%
1009 1
< 0.1%
1002 1
< 0.1%

2014-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct227
Distinct (%)8.2%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean43.660432
Minimum0
Maximum13954
Zeros634
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:09.773164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile119
Maximum13954
Range13954
Interquartile range (IQR)16

Descriptive statistics

Standard deviation381.82751
Coefficient of variation (CV)8.7453902
Kurtosis875.55465
Mean43.660432
Median Absolute Deviation (MAD)4
Skewness27.592784
Sum121376
Variance145792.25
MonotonicityNot monotonic
2024-03-30T01:17:10.163153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 634
17.5%
1 377
10.4%
2 223
 
6.2%
3 151
 
4.2%
4 122
 
3.4%
5 119
 
3.3%
6 91
 
2.5%
7 72
 
2.0%
8 59
 
1.6%
10 45
 
1.2%
Other values (217) 887
24.5%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 634
17.5%
1 377
10.4%
2 223
 
6.2%
3 151
 
4.2%
4 122
 
3.4%
5 119
 
3.3%
6 91
 
2.5%
7 72
 
2.0%
8 59
 
1.6%
9 41
 
1.1%
ValueCountFrequency (%)
13954 1
< 0.1%
10282 1
< 0.1%
7563 1
< 0.1%
3000 1
< 0.1%
2261 1
< 0.1%
1996 1
< 0.1%
1913 1
< 0.1%
1636 1
< 0.1%
1611 1
< 0.1%
1522 1
< 0.1%

2014-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct232
Distinct (%)8.3%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean44.146763
Minimum0
Maximum14265
Zeros560
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:10.580995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile124
Maximum14265
Range14265
Interquartile range (IQR)18

Descriptive statistics

Standard deviation378.47931
Coefficient of variation (CV)8.5732065
Kurtosis930.79695
Mean44.146763
Median Absolute Deviation (MAD)4
Skewness28.335918
Sum122728
Variance143246.59
MonotonicityNot monotonic
2024-03-30T01:17:11.038692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 560
15.5%
1 344
 
9.5%
2 221
 
6.1%
3 164
 
4.5%
4 143
 
3.9%
5 112
 
3.1%
6 90
 
2.5%
7 78
 
2.2%
8 63
 
1.7%
9 55
 
1.5%
Other values (222) 950
26.2%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 560
15.5%
1 344
9.5%
2 221
 
6.1%
3 164
 
4.5%
4 143
 
3.9%
5 112
 
3.1%
6 90
 
2.5%
7 78
 
2.2%
8 63
 
1.7%
9 55
 
1.5%
ValueCountFrequency (%)
14265 1
< 0.1%
10013 1
< 0.1%
6873 1
< 0.1%
3180 1
< 0.1%
2331 1
< 0.1%
2252 1
< 0.1%
2024 1
< 0.1%
1656 1
< 0.1%
1429 1
< 0.1%
1338 1
< 0.1%

2014-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct229
Distinct (%)8.2%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean45.142086
Minimum0
Maximum14469
Zeros537
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:11.644953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile124.05
Maximum14469
Range14469
Interquartile range (IQR)18

Descriptive statistics

Standard deviation387.80258
Coefficient of variation (CV)8.5907101
Kurtosis922.88679
Mean45.142086
Median Absolute Deviation (MAD)4
Skewness28.307498
Sum125495
Variance150390.84
MonotonicityNot monotonic
2024-03-30T01:17:12.135159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 537
14.8%
1 358
 
9.9%
2 216
 
6.0%
3 167
 
4.6%
4 127
 
3.5%
5 112
 
3.1%
6 93
 
2.6%
7 64
 
1.8%
8 60
 
1.7%
10 60
 
1.7%
Other values (219) 986
27.2%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 537
14.8%
1 358
9.9%
2 216
6.0%
3 167
 
4.6%
4 127
 
3.5%
5 112
 
3.1%
6 93
 
2.6%
7 64
 
1.8%
8 60
 
1.7%
9 58
 
1.6%
ValueCountFrequency (%)
14469 1
< 0.1%
10562 1
< 0.1%
7022 1
< 0.1%
3188 1
< 0.1%
2323 1
< 0.1%
2260 1
< 0.1%
1908 1
< 0.1%
1589 1
< 0.1%
1414 1
< 0.1%
1401 1
< 0.1%

2014-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct218
Distinct (%)7.8%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean39.395324
Minimum0
Maximum12748
Zeros579
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:12.575175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile108
Maximum12748
Range12748
Interquartile range (IQR)17

Descriptive statistics

Standard deviation336.55432
Coefficient of variation (CV)8.5430017
Kurtosis946.6812
Mean39.395324
Median Absolute Deviation (MAD)4
Skewness28.551734
Sum109519
Variance113268.81
MonotonicityNot monotonic
2024-03-30T01:17:13.091480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 579
16.0%
1 378
10.4%
2 197
 
5.4%
3 161
 
4.4%
4 132
 
3.6%
5 115
 
3.2%
6 93
 
2.6%
8 77
 
2.1%
7 74
 
2.0%
9 57
 
1.6%
Other values (208) 917
25.3%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 579
16.0%
1 378
10.4%
2 197
 
5.4%
3 161
 
4.4%
4 132
 
3.6%
5 115
 
3.2%
6 93
 
2.6%
7 74
 
2.0%
8 77
 
2.1%
9 57
 
1.6%
ValueCountFrequency (%)
12748 1
< 0.1%
9019 1
< 0.1%
5784 1
< 0.1%
2667 1
< 0.1%
2390 1
< 0.1%
1902 1
< 0.1%
1638 1
< 0.1%
1388 1
< 0.1%
1282 1
< 0.1%
1189 1
< 0.1%

2014-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct215
Distinct (%)7.7%
Missing844
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean38.906475
Minimum0
Maximum12611
Zeros582
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:13.735821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile108.1
Maximum12611
Range12611
Interquartile range (IQR)16

Descriptive statistics

Standard deviation334.01859
Coefficient of variation (CV)8.585167
Kurtosis946.18466
Mean38.906475
Median Absolute Deviation (MAD)4
Skewness28.622559
Sum108160
Variance111568.42
MonotonicityNot monotonic
2024-03-30T01:17:14.234371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 582
16.1%
1 392
10.8%
2 208
 
5.7%
3 146
 
4.0%
4 140
 
3.9%
5 106
 
2.9%
6 91
 
2.5%
7 84
 
2.3%
8 64
 
1.8%
9 43
 
1.2%
Other values (205) 924
25.5%
(Missing) 844
23.3%
ValueCountFrequency (%)
0 582
16.1%
1 392
10.8%
2 208
 
5.7%
3 146
 
4.0%
4 140
 
3.9%
5 106
 
2.9%
6 91
 
2.5%
7 84
 
2.3%
8 64
 
1.8%
9 43
 
1.2%
ValueCountFrequency (%)
12611 1
< 0.1%
9026 1
< 0.1%
5877 1
< 0.1%
2561 1
< 0.1%
2380 1
< 0.1%
1745 1
< 0.1%
1503 1
< 0.1%
1394 1
< 0.1%
1172 1
< 0.1%
1087 1
< 0.1%

2014-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct224
Distinct (%)8.0%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean41.834767
Minimum0
Maximum13520
Zeros561
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:14.658796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile114
Maximum13520
Range13520
Interquartile range (IQR)18

Descriptive statistics

Standard deviation359.63065
Coefficient of variation (CV)8.5964539
Kurtosis932.15111
Mean41.834767
Median Absolute Deviation (MAD)4
Skewness28.402322
Sum116719
Variance129334.2
MonotonicityNot monotonic
2024-03-30T01:17:15.169785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 561
15.5%
1 358
 
9.9%
2 216
 
6.0%
3 169
 
4.7%
4 144
 
4.0%
5 98
 
2.7%
6 91
 
2.5%
7 84
 
2.3%
8 66
 
1.8%
9 45
 
1.2%
Other values (214) 958
26.4%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 561
15.5%
1 358
9.9%
2 216
 
6.0%
3 169
 
4.7%
4 144
 
4.0%
5 98
 
2.7%
6 91
 
2.5%
7 84
 
2.3%
8 66
 
1.8%
9 45
 
1.2%
ValueCountFrequency (%)
13520 1
< 0.1%
9692 1
< 0.1%
6477 1
< 0.1%
2876 1
< 0.1%
2522 1
< 0.1%
1994 1
< 0.1%
1895 1
< 0.1%
1448 1
< 0.1%
1419 1
< 0.1%
1222 1
< 0.1%

2014-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct225
Distinct (%)8.1%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean40.884946
Minimum0
Maximum13187
Zeros622
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:15.643078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317.75
95-th percentile112
Maximum13187
Range13187
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation351.33777
Coefficient of variation (CV)8.5933285
Kurtosis926.63245
Mean40.884946
Median Absolute Deviation (MAD)4
Skewness28.330464
Sum114069
Variance123438.23
MonotonicityNot monotonic
2024-03-30T01:17:16.202657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 622
17.2%
1 350
 
9.7%
2 225
 
6.2%
3 152
 
4.2%
4 130
 
3.6%
5 103
 
2.8%
6 92
 
2.5%
8 78
 
2.2%
7 70
 
1.9%
9 48
 
1.3%
Other values (215) 920
25.4%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 622
17.2%
1 350
9.7%
2 225
 
6.2%
3 152
 
4.2%
4 130
 
3.6%
5 103
 
2.8%
6 92
 
2.5%
7 70
 
1.9%
8 78
 
2.2%
9 48
 
1.3%
ValueCountFrequency (%)
13187 1
< 0.1%
9401 1
< 0.1%
6506 1
< 0.1%
2979 1
< 0.1%
2100 1
< 0.1%
2015 1
< 0.1%
1701 1
< 0.1%
1446 1
< 0.1%
1323 1
< 0.1%
1299 1
< 0.1%

2014-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct229
Distinct (%)8.2%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean43.898925
Minimum0
Maximum14066
Zeros584
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:16.779821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile127
Maximum14066
Range14066
Interquartile range (IQR)17

Descriptive statistics

Standard deviation380.23903
Coefficient of variation (CV)8.6616935
Kurtosis907.69775
Mean43.898925
Median Absolute Deviation (MAD)4
Skewness28.127014
Sum122478
Variance144581.72
MonotonicityNot monotonic
2024-03-30T01:17:17.344179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 584
16.1%
1 370
 
10.2%
2 212
 
5.8%
3 161
 
4.4%
4 137
 
3.8%
5 106
 
2.9%
6 88
 
2.4%
8 77
 
2.1%
7 59
 
1.6%
9 52
 
1.4%
Other values (219) 944
26.0%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 584
16.1%
1 370
10.2%
2 212
 
5.8%
3 161
 
4.4%
4 137
 
3.8%
5 106
 
2.9%
6 88
 
2.4%
7 59
 
1.6%
8 77
 
2.1%
9 52
 
1.4%
ValueCountFrequency (%)
14066 1
< 0.1%
10435 1
< 0.1%
7105 1
< 0.1%
3130 1
< 0.1%
2279 1
< 0.1%
2255 1
< 0.1%
2007 1
< 0.1%
1682 1
< 0.1%
1484 1
< 0.1%
1398 1
< 0.1%

2014-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct262
Distinct (%)9.4%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean59.063441
Minimum0
Maximum18660
Zeros531
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:17.887423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile154
Maximum18660
Range18660
Interquartile range (IQR)20

Descriptive statistics

Standard deviation524.40874
Coefficient of variation (CV)8.8787367
Kurtosis850.17072
Mean59.063441
Median Absolute Deviation (MAD)5
Skewness27.351724
Sum164787
Variance275004.53
MonotonicityNot monotonic
2024-03-30T01:17:18.395005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 531
14.7%
1 355
 
9.8%
2 203
 
5.6%
3 143
 
3.9%
5 121
 
3.3%
4 117
 
3.2%
6 102
 
2.8%
7 71
 
2.0%
8 69
 
1.9%
10 53
 
1.5%
Other values (252) 1025
28.3%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 531
14.7%
1 355
9.8%
2 203
 
5.6%
3 143
 
3.9%
4 117
 
3.2%
5 121
 
3.3%
6 102
 
2.8%
7 71
 
2.0%
8 69
 
1.9%
9 45
 
1.2%
ValueCountFrequency (%)
18660 1
< 0.1%
14734 1
< 0.1%
10730 1
< 0.1%
4133 1
< 0.1%
3086 1
< 0.1%
2527 1
< 0.1%
2322 1
< 0.1%
2268 1
< 0.1%
1874 1
< 0.1%
1848 1
< 0.1%

2014-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct236
Distinct (%)8.5%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean45.861649
Minimum0
Maximum14667
Zeros571
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:18.837724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile128.55
Maximum14667
Range14667
Interquartile range (IQR)18

Descriptive statistics

Standard deviation394.79562
Coefficient of variation (CV)8.6084044
Kurtosis912.2724
Mean45.861649
Median Absolute Deviation (MAD)4
Skewness28.159978
Sum127954
Variance155863.58
MonotonicityNot monotonic
2024-03-30T01:17:19.501412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 571
15.8%
1 341
 
9.4%
2 223
 
6.2%
3 142
 
3.9%
4 137
 
3.8%
5 117
 
3.2%
7 89
 
2.5%
6 81
 
2.2%
8 61
 
1.7%
9 54
 
1.5%
Other values (226) 974
26.9%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 571
15.8%
1 341
9.4%
2 223
 
6.2%
3 142
 
3.9%
4 137
 
3.8%
5 117
 
3.2%
6 81
 
2.2%
7 89
 
2.5%
8 61
 
1.7%
9 54
 
1.5%
ValueCountFrequency (%)
14667 1
< 0.1%
10761 1
< 0.1%
7309 1
< 0.1%
3259 1
< 0.1%
2520 1
< 0.1%
2360 1
< 0.1%
2137 1
< 0.1%
1639 1
< 0.1%
1464 1
< 0.1%
1407 1
< 0.1%

2014-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct257
Distinct (%)9.2%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean51.749104
Minimum0
Maximum16970
Zeros545
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:20.310525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q323
95-th percentile151
Maximum16970
Range16970
Interquartile range (IQR)22

Descriptive statistics

Standard deviation440.83411
Coefficient of variation (CV)8.5186811
Kurtosis968.70163
Mean51.749104
Median Absolute Deviation (MAD)5
Skewness28.781471
Sum144380
Variance194334.72
MonotonicityNot monotonic
2024-03-30T01:17:20.798757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 545
15.0%
1 322
 
8.9%
2 198
 
5.5%
3 161
 
4.4%
5 126
 
3.5%
4 121
 
3.3%
6 91
 
2.5%
7 74
 
2.0%
9 56
 
1.5%
11 52
 
1.4%
Other values (247) 1044
28.8%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 545
15.0%
1 322
8.9%
2 198
 
5.5%
3 161
 
4.4%
4 121
 
3.3%
5 126
 
3.5%
6 91
 
2.5%
7 74
 
2.0%
8 49
 
1.4%
9 56
 
1.5%
ValueCountFrequency (%)
16970 1
< 0.1%
11374 1
< 0.1%
7697 1
< 0.1%
3554 1
< 0.1%
3348 1
< 0.1%
2310 1
< 0.1%
2201 1
< 0.1%
1717 1
< 0.1%
1566 1
< 0.1%
1500 1
< 0.1%

2015-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct230
Distinct (%)8.2%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean45.365591
Minimum0
Maximum14801
Zeros590
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:21.542382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile125.55
Maximum14801
Range14801
Interquartile range (IQR)17

Descriptive statistics

Standard deviation387.34935
Coefficient of variation (CV)8.5383954
Kurtosis931.12388
Mean45.365591
Median Absolute Deviation (MAD)4
Skewness28.035461
Sum126570
Variance150039.52
MonotonicityNot monotonic
2024-03-30T01:17:22.185549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 590
16.3%
1 380
10.5%
2 230
 
6.3%
3 159
 
4.4%
4 122
 
3.4%
5 119
 
3.3%
6 86
 
2.4%
7 68
 
1.9%
8 56
 
1.5%
9 42
 
1.2%
Other values (220) 938
25.9%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 590
16.3%
1 380
10.5%
2 230
 
6.3%
3 159
 
4.4%
4 122
 
3.4%
5 119
 
3.3%
6 86
 
2.4%
7 68
 
1.9%
8 56
 
1.5%
9 42
 
1.2%
ValueCountFrequency (%)
14801 1
< 0.1%
9704 1
< 0.1%
6780 1
< 0.1%
4075 1
< 0.1%
2430 1
< 0.1%
2029 1
< 0.1%
2016 1
< 0.1%
1650 1
< 0.1%
1481 1
< 0.1%
1368 1
< 0.1%

2015-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct221
Distinct (%)7.9%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean40.098925
Minimum0
Maximum12890
Zeros625
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:22.675031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q316
95-th percentile116.1
Maximum12890
Range12890
Interquartile range (IQR)15

Descriptive statistics

Standard deviation346.88967
Coefficient of variation (CV)8.6508471
Kurtosis911.66671
Mean40.098925
Median Absolute Deviation (MAD)3
Skewness28.13468
Sum111876
Variance120332.44
MonotonicityNot monotonic
2024-03-30T01:17:23.174604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 625
17.2%
1 382
10.5%
2 231
 
6.4%
3 163
 
4.5%
4 134
 
3.7%
5 110
 
3.0%
6 70
 
1.9%
9 63
 
1.7%
8 59
 
1.6%
7 58
 
1.6%
Other values (211) 895
24.7%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 625
17.2%
1 382
10.5%
2 231
 
6.4%
3 163
 
4.5%
4 134
 
3.7%
5 110
 
3.0%
6 70
 
1.9%
7 58
 
1.6%
8 59
 
1.6%
9 63
 
1.7%
ValueCountFrequency (%)
12890 1
< 0.1%
9438 1
< 0.1%
6437 1
< 0.1%
2806 1
< 0.1%
2085 1
< 0.1%
2062 1
< 0.1%
1768 1
< 0.1%
1538 1
< 0.1%
1359 1
< 0.1%
1343 1
< 0.1%

2015-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct262
Distinct (%)9.4%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean58.002867
Minimum0
Maximum18735
Zeros526
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:23.695585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q323
95-th percentile156.55
Maximum18735
Range18735
Interquartile range (IQR)22

Descriptive statistics

Standard deviation505.12624
Coefficient of variation (CV)8.7086425
Kurtosis895.75595
Mean58.002867
Median Absolute Deviation (MAD)5
Skewness27.713781
Sum161828
Variance255152.51
MonotonicityNot monotonic
2024-03-30T01:17:24.191999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 526
14.5%
1 360
 
9.9%
2 207
 
5.7%
3 146
 
4.0%
4 121
 
3.3%
5 89
 
2.5%
6 83
 
2.3%
7 75
 
2.1%
9 60
 
1.7%
8 57
 
1.6%
Other values (252) 1066
29.4%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 526
14.5%
1 360
9.9%
2 207
 
5.7%
3 146
 
4.0%
4 121
 
3.3%
5 89
 
2.5%
6 83
 
2.3%
7 75
 
2.1%
8 57
 
1.6%
9 60
 
1.7%
ValueCountFrequency (%)
18735 1
< 0.1%
13715 1
< 0.1%
8698 1
< 0.1%
4143 1
< 0.1%
3837 1
< 0.1%
3199 1
< 0.1%
3105 1
< 0.1%
2903 1
< 0.1%
2266 1
< 0.1%
1972 1
< 0.1%

2015-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct272
Distinct (%)9.7%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean60.299283
Minimum0
Maximum19704
Zeros495
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:24.616363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q324
95-th percentile159.1
Maximum19704
Range19704
Interquartile range (IQR)23

Descriptive statistics

Standard deviation526.11307
Coefficient of variation (CV)8.7250303
Kurtosis897.61535
Mean60.299283
Median Absolute Deviation (MAD)5
Skewness27.653162
Sum168235
Variance276794.96
MonotonicityNot monotonic
2024-03-30T01:17:25.104582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 495
13.7%
1 329
 
9.1%
2 212
 
5.8%
3 147
 
4.1%
5 124
 
3.4%
4 113
 
3.1%
7 85
 
2.3%
6 77
 
2.1%
8 55
 
1.5%
11 51
 
1.4%
Other values (262) 1102
30.4%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 495
13.7%
1 329
9.1%
2 212
5.8%
3 147
 
4.1%
4 113
 
3.1%
5 124
 
3.4%
6 77
 
2.1%
7 85
 
2.3%
8 55
 
1.5%
9 50
 
1.4%
ValueCountFrequency (%)
19704 1
< 0.1%
13747 1
< 0.1%
9143 1
< 0.1%
4586 1
< 0.1%
4243 1
< 0.1%
4196 1
< 0.1%
3379 1
< 0.1%
2415 1
< 0.1%
2174 1
< 0.1%
1888 1
< 0.1%

2015-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct259
Distinct (%)9.3%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean53.99319
Minimum0
Maximum17289
Zeros576
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:25.558656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322.75
95-th percentile146
Maximum17289
Range17289
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation467.0568
Coefficient of variation (CV)8.6502909
Kurtosis902.63856
Mean53.99319
Median Absolute Deviation (MAD)5
Skewness27.944576
Sum150641
Variance218142.06
MonotonicityNot monotonic
2024-03-30T01:17:26.053699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 576
15.9%
1 314
 
8.7%
2 187
 
5.2%
3 146
 
4.0%
4 110
 
3.0%
5 99
 
2.7%
6 94
 
2.6%
8 77
 
2.1%
7 65
 
1.8%
9 54
 
1.5%
Other values (249) 1068
29.5%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 576
15.9%
1 314
8.7%
2 187
 
5.2%
3 146
 
4.0%
4 110
 
3.0%
5 99
 
2.7%
6 94
 
2.6%
7 65
 
1.8%
8 77
 
2.1%
9 54
 
1.5%
ValueCountFrequency (%)
17289 1
< 0.1%
12834 1
< 0.1%
8231 1
< 0.1%
4179 1
< 0.1%
3050 1
< 0.1%
2888 1
< 0.1%
2654 1
< 0.1%
2192 1
< 0.1%
2141 1
< 0.1%
2073 1
< 0.1%

2015-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct268
Distinct (%)9.6%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean57.382437
Minimum0
Maximum18721
Zeros515
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:26.515537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q325
95-th percentile157
Maximum18721
Range18721
Interquartile range (IQR)24

Descriptive statistics

Standard deviation491.65893
Coefficient of variation (CV)8.5681081
Kurtosis949.47165
Mean57.382437
Median Absolute Deviation (MAD)6
Skewness28.509118
Sum160097
Variance241728.5
MonotonicityNot monotonic
2024-03-30T01:17:26.968416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 515
14.2%
1 300
 
8.3%
2 193
 
5.3%
3 141
 
3.9%
4 129
 
3.6%
5 101
 
2.8%
6 87
 
2.4%
7 84
 
2.3%
8 62
 
1.7%
11 56
 
1.5%
Other values (258) 1122
31.0%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 515
14.2%
1 300
8.3%
2 193
 
5.3%
3 141
 
3.9%
4 129
 
3.6%
5 101
 
2.8%
6 87
 
2.4%
7 84
 
2.3%
8 62
 
1.7%
9 39
 
1.1%
ValueCountFrequency (%)
18721 1
< 0.1%
13064 1
< 0.1%
8125 1
< 0.1%
4390 1
< 0.1%
3384 1
< 0.1%
3105 1
< 0.1%
2891 1
< 0.1%
2154 1
< 0.1%
2094 1
< 0.1%
2035 1
< 0.1%

2015-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct281
Distinct (%)10.0%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean65.880851
Minimum0
Maximum22180
Zeros491
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:27.696366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q327
95-th percentile183
Maximum22180
Range22180
Interquartile range (IQR)26

Descriptive statistics

Standard deviation566.33185
Coefficient of variation (CV)8.5963045
Kurtosis988.134
Mean65.880851
Median Absolute Deviation (MAD)6
Skewness28.810418
Sum185784
Variance320731.77
MonotonicityNot monotonic
2024-03-30T01:17:28.137134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 491
13.5%
1 347
 
9.6%
2 185
 
5.1%
3 145
 
4.0%
4 115
 
3.2%
5 83
 
2.3%
6 82
 
2.3%
8 79
 
2.2%
7 74
 
2.0%
11 62
 
1.7%
Other values (271) 1157
31.9%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 491
13.5%
1 347
9.6%
2 185
 
5.1%
3 145
 
4.0%
4 115
 
3.2%
5 83
 
2.3%
6 82
 
2.3%
7 74
 
2.0%
8 79
 
2.2%
9 58
 
1.6%
ValueCountFrequency (%)
22180 1
< 0.1%
14206 1
< 0.1%
8758 1
< 0.1%
5681 1
< 0.1%
4880 1
< 0.1%
4073 1
< 0.1%
3008 1
< 0.1%
2407 1
< 0.1%
2082 1
< 0.1%
1963 1
< 0.1%

2015-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct254
Distinct (%)9.0%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean49.560993
Minimum0
Maximum16039
Zeros529
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:28.597065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile140
Maximum16039
Range16039
Interquartile range (IQR)21

Descriptive statistics

Standard deviation426.98396
Coefficient of variation (CV)8.6153229
Kurtosis925.29945
Mean49.560993
Median Absolute Deviation (MAD)5
Skewness28.217821
Sum139762
Variance182315.3
MonotonicityNot monotonic
2024-03-30T01:17:29.052592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 529
14.6%
1 371
 
10.2%
2 204
 
5.6%
3 140
 
3.9%
4 131
 
3.6%
5 107
 
3.0%
6 95
 
2.6%
7 69
 
1.9%
9 61
 
1.7%
8 54
 
1.5%
Other values (244) 1059
29.2%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 529
14.6%
1 371
10.2%
2 204
 
5.6%
3 140
 
3.9%
4 131
 
3.6%
5 107
 
3.0%
6 95
 
2.6%
7 69
 
1.9%
8 54
 
1.5%
9 61
 
1.7%
ValueCountFrequency (%)
16039 1
< 0.1%
11677 1
< 0.1%
7253 1
< 0.1%
4118 1
< 0.1%
2831 1
< 0.1%
2628 1
< 0.1%
2475 1
< 0.1%
2035 1
< 0.1%
1948 1
< 0.1%
1811 1
< 0.1%

2015-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)8.8%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean73.134043
Minimum0
Maximum24754
Zeros571
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:29.663343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile130.2
Maximum24754
Range24754
Interquartile range (IQR)20

Descriptive statistics

Standard deviation724.71096
Coefficient of variation (CV)9.9093519
Kurtosis584.38251
Mean73.134043
Median Absolute Deviation (MAD)5
Skewness21.707962
Sum206238
Variance525205.98
MonotonicityNot monotonic
2024-03-30T01:17:30.228283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 571
15.8%
1 341
 
9.4%
2 200
 
5.5%
3 160
 
4.4%
4 125
 
3.4%
5 107
 
3.0%
6 74
 
2.0%
7 72
 
2.0%
9 69
 
1.9%
8 61
 
1.7%
Other values (237) 1040
28.7%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 571
15.8%
1 341
9.4%
2 200
 
5.5%
3 160
 
4.4%
4 125
 
3.4%
5 107
 
3.0%
6 74
 
2.0%
7 72
 
2.0%
8 61
 
1.7%
9 69
 
1.9%
ValueCountFrequency (%)
24754 1
< 0.1%
12987 1
< 0.1%
11023 1
< 0.1%
10627 1
< 0.1%
9049 1
< 0.1%
8875 1
< 0.1%
8633 1
< 0.1%
8555 1
< 0.1%
8492 1
< 0.1%
6701 1
< 0.1%

2015-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct252
Distinct (%)8.9%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean52.151773
Minimum0
Maximum16822
Zeros505
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:30.908434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q324
95-th percentile139.05
Maximum16822
Range16822
Interquartile range (IQR)23

Descriptive statistics

Standard deviation450.1931
Coefficient of variation (CV)8.6323641
Kurtosis917.77616
Mean52.151773
Median Absolute Deviation (MAD)5
Skewness28.153915
Sum147068
Variance202673.82
MonotonicityNot monotonic
2024-03-30T01:17:31.715119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 505
13.9%
1 333
 
9.2%
2 193
 
5.3%
3 148
 
4.1%
5 121
 
3.3%
4 111
 
3.1%
6 94
 
2.6%
8 77
 
2.1%
7 76
 
2.1%
10 65
 
1.8%
Other values (242) 1097
30.3%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 505
13.9%
1 333
9.2%
2 193
 
5.3%
3 148
 
4.1%
4 111
 
3.1%
5 121
 
3.3%
6 94
 
2.6%
7 76
 
2.1%
8 77
 
2.1%
9 49
 
1.4%
ValueCountFrequency (%)
16822 1
< 0.1%
12377 1
< 0.1%
7849 1
< 0.1%
4186 1
< 0.1%
3164 1
< 0.1%
2798 1
< 0.1%
2464 1
< 0.1%
2135 1
< 0.1%
1936 1
< 0.1%
1924 1
< 0.1%

2015-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct253
Distinct (%)9.0%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean51.718085
Minimum0
Maximum16817
Zeros526
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:32.479541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile140.05
Maximum16817
Range16817
Interquartile range (IQR)21

Descriptive statistics

Standard deviation446.70331
Coefficient of variation (CV)8.6372747
Kurtosis920.28682
Mean51.718085
Median Absolute Deviation (MAD)5
Skewness28.095578
Sum145845
Variance199543.84
MonotonicityNot monotonic
2024-03-30T01:17:33.141685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 526
14.5%
1 342
 
9.4%
2 207
 
5.7%
3 155
 
4.3%
4 118
 
3.3%
5 110
 
3.0%
6 81
 
2.2%
7 80
 
2.2%
11 58
 
1.6%
8 55
 
1.5%
Other values (243) 1088
30.0%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 526
14.5%
1 342
9.4%
2 207
 
5.7%
3 155
 
4.3%
4 118
 
3.3%
5 110
 
3.0%
6 81
 
2.2%
7 80
 
2.2%
8 55
 
1.5%
9 51
 
1.4%
ValueCountFrequency (%)
16817 1
< 0.1%
11978 1
< 0.1%
7822 1
< 0.1%
4065 1
< 0.1%
3066 1
< 0.1%
2994 1
< 0.1%
2901 1
< 0.1%
2090 1
< 0.1%
1815 1
< 0.1%
1767 1
< 0.1%

2015-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)8.8%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean51.051418
Minimum0
Maximum16745
Zeros508
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:33.698504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q324
95-th percentile139.05
Maximum16745
Range16745
Interquartile range (IQR)23

Descriptive statistics

Standard deviation437.40488
Coefficient of variation (CV)8.5679281
Kurtosis955.9456
Mean51.051418
Median Absolute Deviation (MAD)5
Skewness28.593408
Sum143965
Variance191323.03
MonotonicityNot monotonic
2024-03-30T01:17:34.132013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 508
14.0%
1 339
 
9.4%
2 186
 
5.1%
3 142
 
3.9%
4 130
 
3.6%
5 117
 
3.2%
6 93
 
2.6%
7 80
 
2.2%
8 65
 
1.8%
9 59
 
1.6%
Other values (237) 1101
30.4%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 508
14.0%
1 339
9.4%
2 186
 
5.1%
3 142
 
3.9%
4 130
 
3.6%
5 117
 
3.2%
6 93
 
2.6%
7 80
 
2.2%
8 65
 
1.8%
9 59
 
1.6%
ValueCountFrequency (%)
16745 1
< 0.1%
11596 1
< 0.1%
7333 1
< 0.1%
4096 1
< 0.1%
3253 1
< 0.1%
2750 1
< 0.1%
2350 1
< 0.1%
1839 1
< 0.1%
1812 1
< 0.1%
1648 1
< 0.1%

2016-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct225
Distinct (%)8.0%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean41.781206
Minimum0
Maximum14018
Zeros595
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:34.555323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile121
Maximum14018
Range14018
Interquartile range (IQR)17

Descriptive statistics

Standard deviation357.21486
Coefficient of variation (CV)8.5496542
Kurtosis998.22267
Mean41.781206
Median Absolute Deviation (MAD)4
Skewness28.999062
Sum117823
Variance127602.46
MonotonicityNot monotonic
2024-03-30T01:17:35.078363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 595
16.4%
1 373
 
10.3%
2 210
 
5.8%
3 156
 
4.3%
4 135
 
3.7%
5 100
 
2.8%
6 93
 
2.6%
7 80
 
2.2%
8 61
 
1.7%
10 59
 
1.6%
Other values (215) 958
26.4%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 595
16.4%
1 373
10.3%
2 210
 
5.8%
3 156
 
4.3%
4 135
 
3.7%
5 100
 
2.8%
6 93
 
2.6%
7 80
 
2.2%
8 61
 
1.7%
9 44
 
1.2%
ValueCountFrequency (%)
14018 1
< 0.1%
8978 1
< 0.1%
5832 1
< 0.1%
3316 1
< 0.1%
2405 1
< 0.1%
2103 1
< 0.1%
1765 1
< 0.1%
1740 1
< 0.1%
1530 1
< 0.1%
1442 1
< 0.1%

2016-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct208
Distinct (%)7.4%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean35.993262
Minimum0
Maximum11988
Zeros623
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:35.506786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile100
Maximum11988
Range11988
Interquartile range (IQR)16

Descriptive statistics

Standard deviation307.48883
Coefficient of variation (CV)8.5429552
Kurtosis986.80758
Mean35.993262
Median Absolute Deviation (MAD)4
Skewness28.927966
Sum101501
Variance94549.38
MonotonicityNot monotonic
2024-03-30T01:17:36.037208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 623
17.2%
1 357
 
9.9%
2 218
 
6.0%
3 172
 
4.7%
4 133
 
3.7%
6 98
 
2.7%
5 96
 
2.6%
7 81
 
2.2%
8 67
 
1.8%
10 53
 
1.5%
Other values (198) 922
25.4%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 623
17.2%
1 357
9.9%
2 218
 
6.0%
3 172
 
4.7%
4 133
 
3.7%
5 96
 
2.6%
6 98
 
2.7%
7 81
 
2.2%
8 67
 
1.8%
9 46
 
1.3%
ValueCountFrequency (%)
11988 1
< 0.1%
7852 1
< 0.1%
5023 1
< 0.1%
2798 1
< 0.1%
2668 1
< 0.1%
1888 1
< 0.1%
1652 1
< 0.1%
1284 1
< 0.1%
1218 1
< 0.1%
1132 1
< 0.1%

2016-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct237
Distinct (%)8.4%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean47.759574
Minimum0
Maximum16270
Zeros514
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:36.421771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile122.05
Maximum16270
Range16270
Interquartile range (IQR)20

Descriptive statistics

Standard deviation411.01225
Coefficient of variation (CV)8.6058608
Kurtosis1003.354
Mean47.759574
Median Absolute Deviation (MAD)5
Skewness28.837299
Sum134682
Variance168931.07
MonotonicityNot monotonic
2024-03-30T01:17:36.902458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 514
14.2%
1 360
 
9.9%
2 220
 
6.1%
3 157
 
4.3%
4 116
 
3.2%
5 115
 
3.2%
6 96
 
2.6%
7 81
 
2.2%
8 60
 
1.7%
11 59
 
1.6%
Other values (227) 1042
28.8%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 514
14.2%
1 360
9.9%
2 220
6.1%
3 157
 
4.3%
4 116
 
3.2%
5 115
 
3.2%
6 96
 
2.6%
7 81
 
2.2%
8 60
 
1.7%
9 57
 
1.6%
ValueCountFrequency (%)
16270 1
< 0.1%
9938 1
< 0.1%
6297 1
< 0.1%
3861 1
< 0.1%
2940 1
< 0.1%
2590 1
< 0.1%
2463 1
< 0.1%
2358 1
< 0.1%
2036 1
< 0.1%
1683 1
< 0.1%

2016-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct231
Distinct (%)8.2%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean45.812766
Minimum0
Maximum15020
Zeros541
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:37.393613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile120.05
Maximum15020
Range15020
Interquartile range (IQR)20

Descriptive statistics

Standard deviation391.7305
Coefficient of variation (CV)8.5506842
Kurtosis953.06863
Mean45.812766
Median Absolute Deviation (MAD)5
Skewness28.490189
Sum129192
Variance153452.78
MonotonicityNot monotonic
2024-03-30T01:17:37.841679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 541
14.9%
1 332
 
9.2%
2 219
 
6.0%
3 160
 
4.4%
4 132
 
3.6%
5 106
 
2.9%
6 96
 
2.6%
7 72
 
2.0%
8 64
 
1.8%
11 50
 
1.4%
Other values (221) 1048
28.9%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 541
14.9%
1 332
9.2%
2 219
6.0%
3 160
 
4.4%
4 132
 
3.6%
5 106
 
2.9%
6 96
 
2.6%
7 72
 
2.0%
8 64
 
1.8%
9 43
 
1.2%
ValueCountFrequency (%)
15020 1
< 0.1%
10283 1
< 0.1%
6441 1
< 0.1%
4074 1
< 0.1%
2555 1
< 0.1%
2551 1
< 0.1%
2237 1
< 0.1%
1705 1
< 0.1%
1637 1
< 0.1%
1591 1
< 0.1%

2016-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct235
Distinct (%)8.3%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean47.419504
Minimum0
Maximum15641
Zeros540
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:38.268473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile123.05
Maximum15641
Range15641
Interquartile range (IQR)20

Descriptive statistics

Standard deviation411.43462
Coefficient of variation (CV)8.6764852
Kurtosis935.48549
Mean47.419504
Median Absolute Deviation (MAD)5
Skewness28.24788
Sum133723
Variance169278.45
MonotonicityNot monotonic
2024-03-30T01:17:38.792811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 540
14.9%
1 332
 
9.2%
2 210
 
5.8%
3 155
 
4.3%
4 140
 
3.9%
6 104
 
2.9%
7 81
 
2.2%
5 79
 
2.2%
8 57
 
1.6%
9 52
 
1.4%
Other values (225) 1070
29.5%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 540
14.9%
1 332
9.2%
2 210
 
5.8%
3 155
 
4.3%
4 140
 
3.9%
5 79
 
2.2%
6 104
 
2.9%
7 81
 
2.2%
8 57
 
1.6%
9 52
 
1.4%
ValueCountFrequency (%)
15641 1
< 0.1%
10912 1
< 0.1%
6849 1
< 0.1%
3816 1
< 0.1%
3137 1
< 0.1%
2948 1
< 0.1%
2666 1
< 0.1%
1911 1
< 0.1%
1759 1
< 0.1%
1739 1
< 0.1%

2016-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct249
Distinct (%)8.8%
Missing804
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean49.971631
Minimum0
Maximum16407
Zeros522
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:39.247168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile134.05
Maximum16407
Range16407
Interquartile range (IQR)21

Descriptive statistics

Standard deviation433.12814
Coefficient of variation (CV)8.6674805
Kurtosis928.24983
Mean49.971631
Median Absolute Deviation (MAD)5
Skewness28.165726
Sum140920
Variance187599.98
MonotonicityNot monotonic
2024-03-30T01:17:39.784281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 522
14.4%
1 331
 
9.1%
2 207
 
5.7%
3 160
 
4.4%
4 120
 
3.3%
5 101
 
2.8%
6 85
 
2.3%
7 68
 
1.9%
8 66
 
1.8%
11 64
 
1.8%
Other values (239) 1096
30.2%
(Missing) 804
22.2%
ValueCountFrequency (%)
0 522
14.4%
1 331
9.1%
2 207
 
5.7%
3 160
 
4.4%
4 120
 
3.3%
5 101
 
2.8%
6 85
 
2.3%
7 68
 
1.9%
8 66
 
1.8%
9 49
 
1.4%
ValueCountFrequency (%)
16407 1
< 0.1%
11510 1
< 0.1%
7319 1
< 0.1%
4173 1
< 0.1%
3180 1
< 0.1%
2986 1
< 0.1%
2829 1
< 0.1%
2044 1
< 0.1%
2002 1
< 0.1%
1706 1
< 0.1%

2016-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct264
Distinct (%)9.5%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean54.151254
Minimum0
Maximum17807
Zeros548
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:40.232276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile145.55
Maximum17807
Range17807
Interquartile range (IQR)21

Descriptive statistics

Standard deviation468.10818
Coefficient of variation (CV)8.6444569
Kurtosis913.23449
Mean54.151254
Median Absolute Deviation (MAD)5
Skewness27.704885
Sum151082
Variance219125.27
MonotonicityNot monotonic
2024-03-30T01:17:40.691356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 548
15.1%
1 320
 
8.8%
2 226
 
6.2%
3 140
 
3.9%
4 121
 
3.3%
5 100
 
2.8%
7 86
 
2.4%
6 71
 
2.0%
8 66
 
1.8%
9 55
 
1.5%
Other values (254) 1057
29.2%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 548
15.1%
1 320
8.8%
2 226
6.2%
3 140
 
3.9%
4 121
 
3.3%
5 100
 
2.8%
6 71
 
2.0%
7 86
 
2.4%
8 66
 
1.8%
9 55
 
1.5%
ValueCountFrequency (%)
17807 1
< 0.1%
11756 1
< 0.1%
7618 1
< 0.1%
4669 1
< 0.1%
4257 1
< 0.1%
3434 1
< 0.1%
3307 1
< 0.1%
2336 1
< 0.1%
2281 1
< 0.1%
1727 1
< 0.1%

2016-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct264
Distinct (%)9.5%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean54.207885
Minimum0
Maximum17745
Zeros554
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:41.380237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile149
Maximum17745
Range17745
Interquartile range (IQR)21

Descriptive statistics

Standard deviation472.26801
Coefficient of variation (CV)8.7121644
Kurtosis898.61443
Mean54.207885
Median Absolute Deviation (MAD)5
Skewness27.619118
Sum151240
Variance223037.07
MonotonicityNot monotonic
2024-03-30T01:17:41.993132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 554
15.3%
1 312
 
8.6%
2 192
 
5.3%
3 166
 
4.6%
4 110
 
3.0%
5 103
 
2.8%
6 90
 
2.5%
7 75
 
2.1%
8 64
 
1.8%
13 55
 
1.5%
Other values (254) 1069
29.5%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 554
15.3%
1 312
8.6%
2 192
 
5.3%
3 166
 
4.6%
4 110
 
3.0%
5 103
 
2.8%
6 90
 
2.5%
7 75
 
2.1%
8 64
 
1.8%
9 50
 
1.4%
ValueCountFrequency (%)
17745 1
< 0.1%
12234 1
< 0.1%
7941 1
< 0.1%
4758 1
< 0.1%
3764 1
< 0.1%
3482 1
< 0.1%
3205 1
< 0.1%
2447 1
< 0.1%
2249 1
< 0.1%
1744 1
< 0.1%

2016-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)8.9%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean49.307168
Minimum0
Maximum16018
Zeros567
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:42.442240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile136.1
Maximum16018
Range16018
Interquartile range (IQR)19

Descriptive statistics

Standard deviation429.69805
Coefficient of variation (CV)8.7147176
Kurtosis890.13465
Mean49.307168
Median Absolute Deviation (MAD)5
Skewness27.590372
Sum137567
Variance184640.41
MonotonicityNot monotonic
2024-03-30T01:17:42.881576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 567
15.6%
1 325
 
9.0%
2 230
 
6.3%
3 156
 
4.3%
4 113
 
3.1%
5 109
 
3.0%
6 89
 
2.5%
7 72
 
2.0%
8 69
 
1.9%
9 64
 
1.8%
Other values (237) 996
27.5%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 567
15.6%
1 325
9.0%
2 230
6.3%
3 156
 
4.3%
4 113
 
3.1%
5 109
 
3.0%
6 89
 
2.5%
7 72
 
2.0%
8 69
 
1.9%
9 64
 
1.8%
ValueCountFrequency (%)
16018 1
< 0.1%
11295 1
< 0.1%
7501 1
< 0.1%
4376 1
< 0.1%
3166 1
< 0.1%
3075 1
< 0.1%
2819 1
< 0.1%
2237 1
< 0.1%
1891 1
< 0.1%
1467 1
< 0.1%

2016-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct265
Distinct (%)9.5%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean57.736559
Minimum0
Maximum18606
Zeros527
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:43.301842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322.75
95-th percentile159.55
Maximum18606
Range18606
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation502.66503
Coefficient of variation (CV)8.7061826
Kurtosis871.13734
Mean57.736559
Median Absolute Deviation (MAD)5
Skewness27.289359
Sum161085
Variance252672.13
MonotonicityNot monotonic
2024-03-30T01:17:43.779329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 527
14.5%
1 319
 
8.8%
2 206
 
5.7%
3 152
 
4.2%
4 121
 
3.3%
5 110
 
3.0%
6 89
 
2.5%
8 73
 
2.0%
9 57
 
1.6%
7 56
 
1.5%
Other values (255) 1080
29.8%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 527
14.5%
1 319
8.8%
2 206
 
5.7%
3 152
 
4.2%
4 121
 
3.3%
5 110
 
3.0%
6 89
 
2.5%
7 56
 
1.5%
8 73
 
2.0%
9 57
 
1.6%
ValueCountFrequency (%)
18606 1
< 0.1%
13161 1
< 0.1%
8856 1
< 0.1%
5587 1
< 0.1%
3833 1
< 0.1%
3696 1
< 0.1%
2952 1
< 0.1%
2665 1
< 0.1%
2246 1
< 0.1%
1736 1
< 0.1%

2016-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct273
Distinct (%)9.8%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean56.081362
Minimum0
Maximum18168
Zeros521
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:44.204669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q324
95-th percentile161.55
Maximum18168
Range18168
Interquartile range (IQR)23

Descriptive statistics

Standard deviation486.5172
Coefficient of variation (CV)8.6752029
Kurtosis899.13961
Mean56.081362
Median Absolute Deviation (MAD)5
Skewness27.777117
Sum156467
Variance236698.98
MonotonicityNot monotonic
2024-03-30T01:17:44.679456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 521
14.4%
1 346
 
9.5%
2 193
 
5.3%
3 148
 
4.1%
4 121
 
3.3%
6 88
 
2.4%
5 88
 
2.4%
7 76
 
2.1%
9 58
 
1.6%
8 56
 
1.5%
Other values (263) 1095
30.2%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 521
14.4%
1 346
9.5%
2 193
 
5.3%
3 148
 
4.1%
4 121
 
3.3%
5 88
 
2.4%
6 88
 
2.4%
7 76
 
2.1%
8 56
 
1.5%
9 58
 
1.6%
ValueCountFrequency (%)
18168 1
< 0.1%
12867 1
< 0.1%
8486 1
< 0.1%
5199 1
< 0.1%
3444 1
< 0.1%
3345 1
< 0.1%
2725 1
< 0.1%
2334 1
< 0.1%
2038 1
< 0.1%
1755 1
< 0.1%

2016-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct257
Distinct (%)9.2%
Missing834
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean60.054839
Minimum0
Maximum20232
Zeros514
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:45.175283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q324
95-th percentile149.55
Maximum20232
Range20232
Interquartile range (IQR)23

Descriptive statistics

Standard deviation517.07976
Coefficient of variation (CV)8.6101266
Kurtosis950.94567
Mean60.054839
Median Absolute Deviation (MAD)5
Skewness27.853572
Sum167553
Variance267371.48
MonotonicityNot monotonic
2024-03-30T01:17:45.650723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 514
14.2%
1 334
 
9.2%
2 199
 
5.5%
3 147
 
4.1%
4 120
 
3.3%
5 103
 
2.8%
6 82
 
2.3%
7 72
 
2.0%
8 65
 
1.8%
9 62
 
1.7%
Other values (247) 1092
30.1%
(Missing) 834
23.0%
ValueCountFrequency (%)
0 514
14.2%
1 334
9.2%
2 199
 
5.5%
3 147
 
4.1%
4 120
 
3.3%
5 103
 
2.8%
6 82
 
2.3%
7 72
 
2.0%
8 65
 
1.8%
9 62
 
1.7%
ValueCountFrequency (%)
20232 1
< 0.1%
11743 1
< 0.1%
7540 1
< 0.1%
6170 1
< 0.1%
5270 1
< 0.1%
3151 1
< 0.1%
3051 1
< 0.1%
2409 1
< 0.1%
2373 1
< 0.1%
2166 1
< 0.1%

2017-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct227
Distinct (%)6.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean34.359319
Minimum0
Maximum12662
Zeros811
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:46.146941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile99
Maximum12662
Range12662
Interquartile range (IQR)14

Descriptive statistics

Standard deviation303.8308
Coefficient of variation (CV)8.8427481
Kurtosis1108.0592
Mean34.359319
Median Absolute Deviation (MAD)3
Skewness30.564651
Sum115035
Variance92313.156
MonotonicityNot monotonic
2024-03-30T01:17:46.602837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 811
22.4%
1 440
12.1%
2 256
 
7.1%
3 194
 
5.4%
4 152
 
4.2%
5 128
 
3.5%
6 97
 
2.7%
7 93
 
2.6%
8 76
 
2.1%
9 63
 
1.7%
Other values (217) 1038
28.6%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 811
22.4%
1 440
12.1%
2 256
 
7.1%
3 194
 
5.4%
4 152
 
4.2%
5 128
 
3.5%
6 97
 
2.7%
7 93
 
2.6%
8 76
 
2.1%
9 63
 
1.7%
ValueCountFrequency (%)
12662 1
< 0.1%
8464 1
< 0.1%
5609 1
< 0.1%
3148 1
< 0.1%
2504 1
< 0.1%
2151 1
< 0.1%
2077 1
< 0.1%
1804 1
< 0.1%
1500 1
< 0.1%
1285 1
< 0.1%

2017-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct216
Distinct (%)6.5%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean34.676225
Minimum0
Maximum12774
Zeros801
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:47.085523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile97
Maximum12774
Range12774
Interquartile range (IQR)14

Descriptive statistics

Standard deviation305.86841
Coefficient of variation (CV)8.8206954
Kurtosis1112.5729
Mean34.676225
Median Absolute Deviation (MAD)4
Skewness30.593207
Sum116096
Variance93555.486
MonotonicityNot monotonic
2024-03-30T01:17:47.532419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 801
22.1%
1 404
 
11.1%
2 261
 
7.2%
3 199
 
5.5%
4 141
 
3.9%
5 112
 
3.1%
6 106
 
2.9%
7 81
 
2.2%
8 80
 
2.2%
9 69
 
1.9%
Other values (206) 1094
30.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 801
22.1%
1 404
11.1%
2 261
 
7.2%
3 199
 
5.5%
4 141
 
3.9%
5 112
 
3.1%
6 106
 
2.9%
7 81
 
2.2%
8 80
 
2.2%
9 69
 
1.9%
ValueCountFrequency (%)
12774 1
< 0.1%
8518 1
< 0.1%
5523 1
< 0.1%
3079 1
< 0.1%
2615 1
< 0.1%
2169 1
< 0.1%
2039 1
< 0.1%
2021 1
< 0.1%
1572 1
< 0.1%
1378 1
< 0.1%

2017-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct245
Distinct (%)7.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean43.984767
Minimum0
Maximum16439
Zeros709
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:48.009068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile118
Maximum16439
Range16439
Interquartile range (IQR)17

Descriptive statistics

Standard deviation389.91106
Coefficient of variation (CV)8.864684
Kurtosis1126.8913
Mean43.984767
Median Absolute Deviation (MAD)4
Skewness30.64075
Sum147261
Variance152030.63
MonotonicityNot monotonic
2024-03-30T01:17:48.526589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 709
19.6%
1 419
 
11.6%
2 231
 
6.4%
3 187
 
5.2%
5 136
 
3.8%
4 131
 
3.6%
6 105
 
2.9%
7 79
 
2.2%
9 74
 
2.0%
8 71
 
2.0%
Other values (235) 1206
33.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 709
19.6%
1 419
11.6%
2 231
 
6.4%
3 187
 
5.2%
4 131
 
3.6%
5 136
 
3.8%
6 105
 
2.9%
7 79
 
2.2%
8 71
 
2.0%
9 74
 
2.0%
ValueCountFrequency (%)
16439 1
< 0.1%
10564 1
< 0.1%
6904 1
< 0.1%
4113 1
< 0.1%
3098 1
< 0.1%
2790 1
< 0.1%
2597 1
< 0.1%
2113 1
< 0.1%
1950 1
< 0.1%
1935 1
< 0.1%

2017-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct249
Distinct (%)7.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.016428
Minimum0
Maximum14966
Zeros739
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:48.961247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile117
Maximum14966
Range14966
Interquartile range (IQR)16

Descriptive statistics

Standard deviation366.00903
Coefficient of variation (CV)8.9234742
Kurtosis1064.7825
Mean41.016428
Median Absolute Deviation (MAD)4
Skewness30.055099
Sum137323
Variance133962.61
MonotonicityNot monotonic
2024-03-30T01:17:49.411645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 739
20.4%
1 402
 
11.1%
2 244
 
6.7%
3 193
 
5.3%
5 143
 
3.9%
4 140
 
3.9%
6 93
 
2.6%
8 81
 
2.2%
11 75
 
2.1%
7 73
 
2.0%
Other values (239) 1165
32.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 739
20.4%
1 402
11.1%
2 244
 
6.7%
3 193
 
5.3%
4 140
 
3.9%
5 143
 
3.9%
6 93
 
2.6%
7 73
 
2.0%
8 81
 
2.2%
9 63
 
1.7%
ValueCountFrequency (%)
14966 1
< 0.1%
10433 1
< 0.1%
6973 1
< 0.1%
3931 1
< 0.1%
2877 1
< 0.1%
2641 1
< 0.1%
2407 1
< 0.1%
2243 1
< 0.1%
1856 1
< 0.1%
1819 1
< 0.1%

2017-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct258
Distinct (%)7.7%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean47.140382
Minimum0
Maximum17214
Zeros705
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:49.965960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile131.65
Maximum17214
Range17214
Interquartile range (IQR)18

Descriptive statistics

Standard deviation421.33934
Coefficient of variation (CV)8.9379703
Kurtosis1058.5718
Mean47.140382
Median Absolute Deviation (MAD)4
Skewness29.935115
Sum157826
Variance177526.84
MonotonicityNot monotonic
2024-03-30T01:17:50.601083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 705
19.5%
1 429
 
11.8%
2 225
 
6.2%
3 198
 
5.5%
4 134
 
3.7%
5 119
 
3.3%
7 86
 
2.4%
6 85
 
2.3%
8 73
 
2.0%
9 67
 
1.8%
Other values (248) 1227
33.9%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 705
19.5%
1 429
11.8%
2 225
 
6.2%
3 198
 
5.5%
4 134
 
3.7%
5 119
 
3.3%
6 85
 
2.3%
7 86
 
2.4%
8 73
 
2.0%
9 67
 
1.8%
ValueCountFrequency (%)
17214 1
< 0.1%
11938 1
< 0.1%
8093 1
< 0.1%
4457 1
< 0.1%
3307 1
< 0.1%
2957 1
< 0.1%
2860 1
< 0.1%
2817 1
< 0.1%
2069 1
< 0.1%
2066 1
< 0.1%

2017-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct276
Distinct (%)8.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean51.719534
Minimum0
Maximum18855
Zeros703
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:51.159011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile144.65
Maximum18855
Range18855
Interquartile range (IQR)20

Descriptive statistics

Standard deviation465.32963
Coefficient of variation (CV)8.9971737
Kurtosis1034.8261
Mean51.719534
Median Absolute Deviation (MAD)5
Skewness29.615765
Sum173157
Variance216531.67
MonotonicityNot monotonic
2024-03-30T01:17:51.727290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 703
19.4%
1 404
 
11.1%
2 235
 
6.5%
3 178
 
4.9%
4 134
 
3.7%
5 116
 
3.2%
6 95
 
2.6%
7 87
 
2.4%
9 69
 
1.9%
8 66
 
1.8%
Other values (266) 1261
34.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 703
19.4%
1 404
11.1%
2 235
 
6.5%
3 178
 
4.9%
4 134
 
3.7%
5 116
 
3.2%
6 95
 
2.6%
7 87
 
2.4%
8 66
 
1.8%
9 69
 
1.9%
ValueCountFrequency (%)
18855 1
< 0.1%
13164 1
< 0.1%
9113 1
< 0.1%
5112 1
< 0.1%
3645 1
< 0.1%
3535 1
< 0.1%
3273 1
< 0.1%
2950 1
< 0.1%
2689 1
< 0.1%
2331 1
< 0.1%

2017-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct283
Distinct (%)8.5%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean53.034349
Minimum0
Maximum19299
Zeros741
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:52.403191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile146
Maximum19299
Range19299
Interquartile range (IQR)19

Descriptive statistics

Standard deviation484.14472
Coefficient of variation (CV)9.1288896
Kurtosis1001.5886
Mean53.034349
Median Absolute Deviation (MAD)5
Skewness29.242258
Sum177559
Variance234396.11
MonotonicityNot monotonic
2024-03-30T01:17:53.024862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 741
20.4%
1 356
 
9.8%
2 245
 
6.8%
3 187
 
5.2%
4 141
 
3.9%
5 115
 
3.2%
7 91
 
2.5%
6 87
 
2.4%
10 68
 
1.9%
9 60
 
1.7%
Other values (273) 1257
34.7%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 741
20.4%
1 356
9.8%
2 245
 
6.8%
3 187
 
5.2%
4 141
 
3.9%
5 115
 
3.2%
6 87
 
2.4%
7 91
 
2.5%
8 59
 
1.6%
9 60
 
1.7%
ValueCountFrequency (%)
19299 1
< 0.1%
13863 1
< 0.1%
9823 1
< 0.1%
5670 1
< 0.1%
4190 1
< 0.1%
3378 1
< 0.1%
3204 1
< 0.1%
3176 1
< 0.1%
2717 1
< 0.1%
2316 1
< 0.1%

2017-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)8.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean57.884409
Minimum0
Maximum21064
Zeros737
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:53.512046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile168
Maximum21064
Range21064
Interquartile range (IQR)19

Descriptive statistics

Standard deviation532.48152
Coefficient of variation (CV)9.1990492
Kurtosis988.26621
Mean57.884409
Median Absolute Deviation (MAD)5
Skewness29.103213
Sum193797
Variance283536.57
MonotonicityNot monotonic
2024-03-30T01:17:54.309340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 737
20.3%
1 376
 
10.4%
2 247
 
6.8%
3 152
 
4.2%
4 131
 
3.6%
5 113
 
3.1%
6 92
 
2.5%
8 82
 
2.3%
7 70
 
1.9%
12 60
 
1.7%
Other values (284) 1288
35.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 737
20.3%
1 376
10.4%
2 247
 
6.8%
3 152
 
4.2%
4 131
 
3.6%
5 113
 
3.1%
6 92
 
2.5%
7 70
 
1.9%
8 82
 
2.3%
9 58
 
1.6%
ValueCountFrequency (%)
21064 1
< 0.1%
15270 1
< 0.1%
11252 1
< 0.1%
6127 1
< 0.1%
4345 1
< 0.1%
3616 1
< 0.1%
3577 1
< 0.1%
3397 1
< 0.1%
2746 1
< 0.1%
2670 1
< 0.1%

2017-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct273
Distinct (%)8.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean52.616189
Minimum0
Maximum19264
Zeros732
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:55.166204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile149.3
Maximum19264
Range19264
Interquartile range (IQR)19

Descriptive statistics

Standard deviation476.08283
Coefficient of variation (CV)9.0482195
Kurtosis1018.0332
Mean52.616189
Median Absolute Deviation (MAD)5
Skewness29.336738
Sum176159
Variance226654.86
MonotonicityNot monotonic
2024-03-30T01:17:55.677059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 732
20.2%
1 396
 
10.9%
2 234
 
6.5%
3 167
 
4.6%
5 132
 
3.6%
4 117
 
3.2%
6 104
 
2.9%
7 81
 
2.2%
8 78
 
2.2%
11 60
 
1.7%
Other values (263) 1247
34.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 732
20.2%
1 396
10.9%
2 234
 
6.5%
3 167
 
4.6%
4 117
 
3.2%
5 132
 
3.6%
6 104
 
2.9%
7 81
 
2.2%
8 78
 
2.2%
9 55
 
1.5%
ValueCountFrequency (%)
19264 1
< 0.1%
13128 1
< 0.1%
9472 1
< 0.1%
5996 1
< 0.1%
4009 1
< 0.1%
3727 1
< 0.1%
3071 1
< 0.1%
2959 1
< 0.1%
2703 1
< 0.1%
1983 1
< 0.1%

2017-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct250
Distinct (%)7.5%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean40.885305
Minimum0
Maximum14775
Zeros825
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:56.207966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile121.65
Maximum14775
Range14775
Interquartile range (IQR)14

Descriptive statistics

Standard deviation371.12028
Coefficient of variation (CV)9.0771069
Kurtosis985.04496
Mean40.885305
Median Absolute Deviation (MAD)3
Skewness28.945689
Sum136884
Variance137730.26
MonotonicityNot monotonic
2024-03-30T01:17:56.689095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 825
22.8%
1 432
 
11.9%
2 240
 
6.6%
3 182
 
5.0%
4 159
 
4.4%
5 132
 
3.6%
6 77
 
2.1%
9 70
 
1.9%
10 65
 
1.8%
7 64
 
1.8%
Other values (240) 1102
30.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 825
22.8%
1 432
11.9%
2 240
 
6.6%
3 182
 
5.0%
4 159
 
4.4%
5 132
 
3.6%
6 77
 
2.1%
7 64
 
1.8%
8 56
 
1.5%
9 70
 
1.9%
ValueCountFrequency (%)
14775 1
< 0.1%
10428 1
< 0.1%
7463 1
< 0.1%
4768 1
< 0.1%
3555 1
< 0.1%
2812 2
0.1%
2225 1
< 0.1%
1697 1
< 0.1%
1692 1
< 0.1%
1163 1
< 0.1%

2017-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct271
Distinct (%)8.1%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean48.290024
Minimum0
Maximum17628
Zeros747
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:57.263618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile137.65
Maximum17628
Range17628
Interquartile range (IQR)18

Descriptive statistics

Standard deviation437.63866
Coefficient of variation (CV)9.0627137
Kurtosis1019.2409
Mean48.290024
Median Absolute Deviation (MAD)4
Skewness29.458817
Sum161675
Variance191527.6
MonotonicityNot monotonic
2024-03-30T01:17:57.708679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 747
20.6%
1 414
 
11.4%
2 223
 
6.2%
3 186
 
5.1%
4 142
 
3.9%
5 112
 
3.1%
6 90
 
2.5%
7 90
 
2.5%
9 81
 
2.2%
8 70
 
1.9%
Other values (261) 1193
32.9%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 747
20.6%
1 414
11.4%
2 223
 
6.2%
3 186
 
5.1%
4 142
 
3.9%
5 112
 
3.1%
6 90
 
2.5%
7 90
 
2.5%
8 70
 
1.9%
9 81
 
2.2%
ValueCountFrequency (%)
17628 1
< 0.1%
12307 1
< 0.1%
8838 1
< 0.1%
5307 1
< 0.1%
3686 1
< 0.1%
3322 1
< 0.1%
2875 1
< 0.1%
2702 1
< 0.1%
2238 1
< 0.1%
2004 1
< 0.1%

2017-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct275
Distinct (%)8.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean49.834229
Minimum0
Maximum18268
Zeros745
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:58.164960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile144.65
Maximum18268
Range18268
Interquartile range (IQR)18

Descriptive statistics

Standard deviation448.67059
Coefficient of variation (CV)9.0032612
Kurtosis1029.4074
Mean49.834229
Median Absolute Deviation (MAD)4
Skewness29.434524
Sum166845
Variance201305.29
MonotonicityNot monotonic
2024-03-30T01:17:58.598458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 745
20.6%
1 423
 
11.7%
2 228
 
6.3%
3 171
 
4.7%
4 128
 
3.5%
5 104
 
2.9%
6 91
 
2.5%
8 85
 
2.3%
7 77
 
2.1%
9 70
 
1.9%
Other values (265) 1226
33.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 745
20.6%
1 423
11.7%
2 228
 
6.3%
3 171
 
4.7%
4 128
 
3.5%
5 104
 
2.9%
6 91
 
2.5%
7 77
 
2.1%
8 85
 
2.3%
9 70
 
1.9%
ValueCountFrequency (%)
18268 1
< 0.1%
12299 1
< 0.1%
8751 1
< 0.1%
5212 1
< 0.1%
3897 1
< 0.1%
3638 1
< 0.1%
3321 1
< 0.1%
2952 1
< 0.1%
2748 1
< 0.1%
2016 1
< 0.1%

2018-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct280
Distinct (%)8.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50.112605
Minimum0
Maximum18367
Zeros802
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:17:59.050638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile147.65
Maximum18367
Range18367
Interquartile range (IQR)16

Descriptive statistics

Standard deviation465.54756
Coefficient of variation (CV)9.2900292
Kurtosis990.9071
Mean50.112605
Median Absolute Deviation (MAD)4
Skewness29.267114
Sum167777
Variance216734.53
MonotonicityNot monotonic
2024-03-30T01:17:59.633410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 802
22.1%
1 401
 
11.1%
2 240
 
6.6%
3 175
 
4.8%
4 144
 
4.0%
5 123
 
3.4%
6 94
 
2.6%
8 83
 
2.3%
7 78
 
2.2%
9 72
 
2.0%
Other values (270) 1136
31.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 802
22.1%
1 401
11.1%
2 240
 
6.6%
3 175
 
4.8%
4 144
 
4.0%
5 123
 
3.4%
6 94
 
2.6%
7 78
 
2.2%
8 83
 
2.3%
9 72
 
2.0%
ValueCountFrequency (%)
18367 1
< 0.1%
13298 1
< 0.1%
10395 1
< 0.1%
5207 1
< 0.1%
3705 1
< 0.1%
3001 1
< 0.1%
2928 1
< 0.1%
2926 1
< 0.1%
2339 1
< 0.1%
2002 1
< 0.1%

2018-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct265
Distinct (%)7.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean44.675926
Minimum0
Maximum16309
Zeros854
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:00.145490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317
95-th percentile134.3
Maximum16309
Range16309
Interquartile range (IQR)17

Descriptive statistics

Standard deviation409.00931
Coefficient of variation (CV)9.1550271
Kurtosis981.86991
Mean44.675926
Median Absolute Deviation (MAD)3
Skewness28.88767
Sum149575
Variance167288.62
MonotonicityNot monotonic
2024-03-30T01:18:00.699264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 854
23.6%
1 424
 
11.7%
2 247
 
6.8%
3 170
 
4.7%
4 141
 
3.9%
5 122
 
3.4%
6 98
 
2.7%
8 81
 
2.2%
7 61
 
1.7%
10 56
 
1.5%
Other values (255) 1094
30.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 854
23.6%
1 424
11.7%
2 247
 
6.8%
3 170
 
4.7%
4 141
 
3.9%
5 122
 
3.4%
6 98
 
2.7%
7 61
 
1.7%
8 81
 
2.2%
9 54
 
1.5%
ValueCountFrequency (%)
16309 1
< 0.1%
11191 1
< 0.1%
8698 1
< 0.1%
5112 1
< 0.1%
3494 1
< 0.1%
3093 1
< 0.1%
2902 1
< 0.1%
2814 1
< 0.1%
2459 1
< 0.1%
1787 1
< 0.1%

2018-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct281
Distinct (%)8.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean53.477897
Minimum0
Maximum19479
Zeros771
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:01.159025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q320
95-th percentile148
Maximum19479
Range19479
Interquartile range (IQR)19

Descriptive statistics

Standard deviation494.21247
Coefficient of variation (CV)9.2414343
Kurtosis976.83879
Mean53.477897
Median Absolute Deviation (MAD)4
Skewness28.956987
Sum179044
Variance244245.97
MonotonicityNot monotonic
2024-03-30T01:18:01.715526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 771
21.3%
1 363
 
10.0%
2 233
 
6.4%
3 181
 
5.0%
4 140
 
3.9%
5 93
 
2.6%
6 89
 
2.5%
9 80
 
2.2%
7 79
 
2.2%
8 76
 
2.1%
Other values (271) 1243
34.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 771
21.3%
1 363
10.0%
2 233
 
6.4%
3 181
 
5.0%
4 140
 
3.9%
5 93
 
2.6%
6 89
 
2.5%
7 79
 
2.2%
8 76
 
2.1%
9 80
 
2.2%
ValueCountFrequency (%)
19479 1
< 0.1%
14117 1
< 0.1%
10465 1
< 0.1%
5956 1
< 0.1%
4308 1
< 0.1%
3501 1
< 0.1%
3462 1
< 0.1%
3260 1
< 0.1%
2555 1
< 0.1%
2492 1
< 0.1%

2018-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct265
Distinct (%)7.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean45.422342
Minimum0
Maximum16524
Zeros770
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:02.136085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile124.3
Maximum16524
Range16524
Interquartile range (IQR)17

Descriptive statistics

Standard deviation405.13695
Coefficient of variation (CV)8.919332
Kurtosis1017.4147
Mean45.422342
Median Absolute Deviation (MAD)4
Skewness29.146395
Sum152074
Variance164135.94
MonotonicityNot monotonic
2024-03-30T01:18:02.713797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 770
21.2%
1 408
 
11.3%
2 235
 
6.5%
3 188
 
5.2%
4 144
 
4.0%
5 127
 
3.5%
6 112
 
3.1%
7 70
 
1.9%
8 69
 
1.9%
9 67
 
1.8%
Other values (255) 1158
32.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 770
21.2%
1 408
11.3%
2 235
 
6.5%
3 188
 
5.2%
4 144
 
4.0%
5 127
 
3.5%
6 112
 
3.1%
7 70
 
1.9%
8 69
 
1.9%
9 67
 
1.8%
ValueCountFrequency (%)
16524 1
< 0.1%
10786 1
< 0.1%
7661 1
< 0.1%
5730 1
< 0.1%
3429 1
< 0.1%
3310 1
< 0.1%
2902 1
< 0.1%
2571 1
< 0.1%
2037 1
< 0.1%
1856 1
< 0.1%

2018-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct256
Distinct (%)7.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean47.523297
Minimum0
Maximum17370
Zeros792
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:03.162114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile127
Maximum17370
Range17370
Interquartile range (IQR)16

Descriptive statistics

Standard deviation423.52828
Coefficient of variation (CV)8.9120137
Kurtosis1014.9097
Mean47.523297
Median Absolute Deviation (MAD)4
Skewness28.882263
Sum159108
Variance179376.2
MonotonicityNot monotonic
2024-03-30T01:18:03.631470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 792
21.9%
1 388
 
10.7%
2 253
 
7.0%
3 177
 
4.9%
4 153
 
4.2%
6 108
 
3.0%
5 100
 
2.8%
7 86
 
2.4%
8 84
 
2.3%
10 58
 
1.6%
Other values (246) 1149
31.7%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 792
21.9%
1 388
10.7%
2 253
 
7.0%
3 177
 
4.9%
4 153
 
4.2%
5 100
 
2.8%
6 108
 
3.0%
7 86
 
2.4%
8 84
 
2.3%
9 52
 
1.4%
ValueCountFrequency (%)
17370 1
< 0.1%
10991 1
< 0.1%
7754 1
< 0.1%
5106 1
< 0.1%
4533 1
< 0.1%
3998 1
< 0.1%
3261 1
< 0.1%
2481 1
< 0.1%
2444 1
< 0.1%
1891 1
< 0.1%

2018-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)7.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean43.08184
Minimum0
Maximum15875
Zeros823
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:04.147455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile120.65
Maximum15875
Range15875
Interquartile range (IQR)16

Descriptive statistics

Standard deviation392.24133
Coefficient of variation (CV)9.1045632
Kurtosis1027.5759
Mean43.08184
Median Absolute Deviation (MAD)4
Skewness29.561368
Sum144238
Variance153853.26
MonotonicityNot monotonic
2024-03-30T01:18:04.624799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 823
22.7%
1 393
 
10.8%
2 257
 
7.1%
3 179
 
4.9%
4 147
 
4.1%
5 120
 
3.3%
6 90
 
2.5%
7 78
 
2.2%
8 69
 
1.9%
13 60
 
1.7%
Other values (237) 1132
31.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 823
22.7%
1 393
10.8%
2 257
 
7.1%
3 179
 
4.9%
4 147
 
4.1%
5 120
 
3.3%
6 90
 
2.5%
7 78
 
2.2%
8 69
 
1.9%
9 59
 
1.6%
ValueCountFrequency (%)
15875 1
< 0.1%
10926 1
< 0.1%
7904 1
< 0.1%
4876 1
< 0.1%
3320 1
< 0.1%
2923 1
< 0.1%
2644 1
< 0.1%
2286 1
< 0.1%
1904 1
< 0.1%
1811 1
< 0.1%

2018-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct256
Distinct (%)7.6%
Missing264
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean48.738095
Minimum0
Maximum18790
Zeros811
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:05.045510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile125.05
Maximum18790
Range18790
Interquartile range (IQR)16

Descriptive statistics

Standard deviation455.69432
Coefficient of variation (CV)9.3498591
Kurtosis1001.3021
Mean48.738095
Median Absolute Deviation (MAD)4
Skewness28.431602
Sum163760
Variance207657.32
MonotonicityNot monotonic
2024-03-30T01:18:05.548104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 811
22.4%
1 426
 
11.8%
2 230
 
6.3%
3 182
 
5.0%
4 163
 
4.5%
5 100
 
2.8%
6 95
 
2.6%
7 90
 
2.5%
9 65
 
1.8%
8 59
 
1.6%
Other values (246) 1139
31.4%
(Missing) 264
 
7.3%
ValueCountFrequency (%)
0 811
22.4%
1 426
11.8%
2 230
 
6.3%
3 182
 
5.0%
4 163
 
4.5%
5 100
 
2.8%
6 95
 
2.6%
7 90
 
2.5%
8 59
 
1.6%
9 65
 
1.8%
ValueCountFrequency (%)
18790 1
< 0.1%
11144 1
< 0.1%
8195 1
< 0.1%
5362 1
< 0.1%
5166 1
< 0.1%
3833 1
< 0.1%
3629 1
< 0.1%
3162 1
< 0.1%
3095 1
< 0.1%
3065 1
< 0.1%

2018-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct246
Distinct (%)7.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.636798
Minimum0
Maximum15228
Zeros865
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:05.987694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316
95-th percentile115.65
Maximum15228
Range15228
Interquartile range (IQR)16

Descriptive statistics

Standard deviation382.2797
Coefficient of variation (CV)9.1812944
Kurtosis971.42102
Mean41.636798
Median Absolute Deviation (MAD)3
Skewness28.682714
Sum139400
Variance146137.77
MonotonicityNot monotonic
2024-03-30T01:18:06.488384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 865
23.9%
1 380
 
10.5%
2 229
 
6.3%
3 208
 
5.7%
4 144
 
4.0%
5 115
 
3.2%
6 85
 
2.3%
8 83
 
2.3%
7 80
 
2.2%
10 58
 
1.6%
Other values (236) 1101
30.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 865
23.9%
1 380
10.5%
2 229
 
6.3%
3 208
 
5.7%
4 144
 
4.0%
5 115
 
3.2%
6 85
 
2.3%
7 80
 
2.2%
8 83
 
2.3%
9 57
 
1.6%
ValueCountFrequency (%)
15228 1
< 0.1%
10457 1
< 0.1%
7717 1
< 0.1%
5176 1
< 0.1%
3686 1
< 0.1%
3007 1
< 0.1%
2983 1
< 0.1%
2422 1
< 0.1%
2361 1
< 0.1%
1578 1
< 0.1%

2018-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct253
Distinct (%)7.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.866189
Minimum0
Maximum15062
Zeros900
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:07.235023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile123.65
Maximum15062
Range15062
Interquartile range (IQR)14

Descriptive statistics

Standard deviation391.14482
Coefficient of variation (CV)9.3427377
Kurtosis915.08634
Mean41.866189
Median Absolute Deviation (MAD)3
Skewness28.049028
Sum140168
Variance152994.27
MonotonicityNot monotonic
2024-03-30T01:18:07.749664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
24.8%
1 413
11.4%
2 268
 
7.4%
3 185
 
5.1%
4 141
 
3.9%
5 116
 
3.2%
6 88
 
2.4%
8 79
 
2.2%
9 78
 
2.2%
7 75
 
2.1%
Other values (243) 1005
27.7%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 900
24.8%
1 413
11.4%
2 268
 
7.4%
3 185
 
5.1%
4 141
 
3.9%
5 116
 
3.2%
6 88
 
2.4%
7 75
 
2.1%
8 79
 
2.2%
9 78
 
2.2%
ValueCountFrequency (%)
15062 1
< 0.1%
11039 1
< 0.1%
8453 1
< 0.1%
5390 1
< 0.1%
3932 1
< 0.1%
3297 1
< 0.1%
2563 1
< 0.1%
2453 1
< 0.1%
1954 1
< 0.1%
1920 1
< 0.1%

2018-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct268
Distinct (%)8.0%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean48.86828
Minimum0
Maximum17486
Zeros791
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:08.230655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317.25
95-th percentile137.6
Maximum17486
Range17486
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation451.45937
Coefficient of variation (CV)9.2382907
Kurtosis928.00682
Mean48.86828
Median Absolute Deviation (MAD)4
Skewness28.207455
Sum163611
Variance203815.56
MonotonicityNot monotonic
2024-03-30T01:18:08.738917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 791
21.8%
1 383
 
10.6%
2 237
 
6.5%
3 194
 
5.4%
4 161
 
4.4%
5 135
 
3.7%
6 102
 
2.8%
8 80
 
2.2%
7 73
 
2.0%
10 52
 
1.4%
Other values (258) 1140
31.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 791
21.8%
1 383
10.6%
2 237
 
6.5%
3 194
 
5.4%
4 161
 
4.4%
5 135
 
3.7%
6 102
 
2.8%
7 73
 
2.0%
8 80
 
2.2%
9 50
 
1.4%
ValueCountFrequency (%)
17486 1
< 0.1%
12825 1
< 0.1%
9509 1
< 0.1%
6031 1
< 0.1%
4582 1
< 0.1%
3773 1
< 0.1%
3083 1
< 0.1%
2872 1
< 0.1%
2449 1
< 0.1%
2061 1
< 0.1%

2018-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct253
Distinct (%)7.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.114397
Minimum0
Maximum14706
Zeros770
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:09.239591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile118
Maximum14706
Range14706
Interquartile range (IQR)15

Descriptive statistics

Standard deviation368.4207
Coefficient of variation (CV)8.9608684
Kurtosis996.78474
Mean41.114397
Median Absolute Deviation (MAD)4
Skewness29.130971
Sum137651
Variance135733.81
MonotonicityNot monotonic
2024-03-30T01:18:09.677412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 770
21.2%
1 408
 
11.3%
2 291
 
8.0%
3 203
 
5.6%
4 155
 
4.3%
5 112
 
3.1%
6 97
 
2.7%
7 84
 
2.3%
8 70
 
1.9%
9 66
 
1.8%
Other values (243) 1092
30.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 770
21.2%
1 408
11.3%
2 291
 
8.0%
3 203
 
5.6%
4 155
 
4.3%
5 112
 
3.1%
6 97
 
2.7%
7 84
 
2.3%
8 70
 
1.9%
9 66
 
1.8%
ValueCountFrequency (%)
14706 1
< 0.1%
10431 1
< 0.1%
7393 1
< 0.1%
4677 1
< 0.1%
3249 1
< 0.1%
2851 1
< 0.1%
2534 1
< 0.1%
2288 1
< 0.1%
1791 1
< 0.1%
1529 1
< 0.1%

2018-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct252
Distinct (%)7.5%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean43.058841
Minimum0
Maximum16328
Zeros765
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:10.257513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile127
Maximum16328
Range16328
Interquartile range (IQR)17

Descriptive statistics

Standard deviation374.88363
Coefficient of variation (CV)8.7063103
Kurtosis1202.4176
Mean43.058841
Median Absolute Deviation (MAD)4
Skewness31.380445
Sum144161
Variance140537.74
MonotonicityNot monotonic
2024-03-30T01:18:10.735827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 765
21.1%
1 388
 
10.7%
2 257
 
7.1%
3 195
 
5.4%
4 151
 
4.2%
5 101
 
2.8%
6 91
 
2.5%
7 85
 
2.3%
8 84
 
2.3%
9 68
 
1.9%
Other values (242) 1163
32.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 765
21.1%
1 388
10.7%
2 257
 
7.1%
3 195
 
5.4%
4 151
 
4.2%
5 101
 
2.8%
6 91
 
2.5%
7 85
 
2.3%
8 84
 
2.3%
9 68
 
1.9%
ValueCountFrequency (%)
16328 1
< 0.1%
9201 1
< 0.1%
6279 1
< 0.1%
4441 1
< 0.1%
3355 1
< 0.1%
2808 1
< 0.1%
2603 1
< 0.1%
2467 1
< 0.1%
1918 1
< 0.1%
1785 1
< 0.1%

2019-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct233
Distinct (%)7.0%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean36.885902
Minimum0
Maximum13604
Zeros793
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:11.155890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile99
Maximum13604
Range13604
Interquartile range (IQR)13

Descriptive statistics

Standard deviation336.12811
Coefficient of variation (CV)9.1126445
Kurtosis1023.2396
Mean36.885902
Median Absolute Deviation (MAD)3
Skewness29.451538
Sum123494
Variance112982.11
MonotonicityNot monotonic
2024-03-30T01:18:11.646967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 793
21.9%
1 444
12.3%
2 280
 
7.7%
3 211
 
5.8%
4 137
 
3.8%
5 133
 
3.7%
6 128
 
3.5%
7 86
 
2.4%
8 57
 
1.6%
10 54
 
1.5%
Other values (223) 1025
28.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 793
21.9%
1 444
12.3%
2 280
 
7.7%
3 211
 
5.8%
4 137
 
3.8%
5 133
 
3.7%
6 128
 
3.5%
7 86
 
2.4%
8 57
 
1.6%
9 51
 
1.4%
ValueCountFrequency (%)
13604 1
< 0.1%
9279 1
< 0.1%
6879 1
< 0.1%
3946 1
< 0.1%
2769 1
< 0.1%
2673 1
< 0.1%
2247 1
< 0.1%
2111 1
< 0.1%
1892 1
< 0.1%
1148 1
< 0.1%

2019-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct220
Distinct (%)6.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean31.219833
Minimum0
Maximum11387
Zeros892
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:12.150654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile82.65
Maximum11387
Range11387
Interquartile range (IQR)12

Descriptive statistics

Standard deviation283.378
Coefficient of variation (CV)9.0768585
Kurtosis1007.9973
Mean31.219833
Median Absolute Deviation (MAD)3
Skewness29.273577
Sum104524
Variance80303.094
MonotonicityNot monotonic
2024-03-30T01:18:12.729260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 892
24.6%
1 426
11.8%
2 282
 
7.8%
3 201
 
5.5%
4 175
 
4.8%
5 133
 
3.7%
7 84
 
2.3%
6 76
 
2.1%
8 64
 
1.8%
9 60
 
1.7%
Other values (210) 955
26.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 892
24.6%
1 426
11.8%
2 282
 
7.8%
3 201
 
5.5%
4 175
 
4.8%
5 133
 
3.7%
6 76
 
2.1%
7 84
 
2.3%
8 64
 
1.8%
9 60
 
1.7%
ValueCountFrequency (%)
11387 1
< 0.1%
7860 1
< 0.1%
5889 1
< 0.1%
3471 1
< 0.1%
2416 1
< 0.1%
2103 1
< 0.1%
1991 1
< 0.1%
1680 1
< 0.1%
1166 1
< 0.1%
997 1
< 0.1%

2019-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct230
Distinct (%)6.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean37.771505
Minimum0
Maximum13941
Zeros788
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:13.165108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile108
Maximum13941
Range13941
Interquartile range (IQR)14

Descriptive statistics

Standard deviation342.70827
Coefficient of variation (CV)9.073196
Kurtosis1030.4398
Mean37.771505
Median Absolute Deviation (MAD)3
Skewness29.498524
Sum126459
Variance117448.96
MonotonicityNot monotonic
2024-03-30T01:18:13.607973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 788
21.7%
1 422
11.6%
2 269
 
7.4%
3 228
 
6.3%
4 140
 
3.9%
5 129
 
3.6%
6 97
 
2.7%
7 95
 
2.6%
8 74
 
2.0%
9 56
 
1.5%
Other values (220) 1050
29.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 788
21.7%
1 422
11.6%
2 269
 
7.4%
3 228
 
6.3%
4 140
 
3.9%
5 129
 
3.6%
6 97
 
2.7%
7 95
 
2.6%
8 74
 
2.0%
9 56
 
1.5%
ValueCountFrequency (%)
13941 1
< 0.1%
9385 1
< 0.1%
6823 1
< 0.1%
4345 1
< 0.1%
2885 1
< 0.1%
2532 1
< 0.1%
2334 1
< 0.1%
2119 1
< 0.1%
1454 1
< 0.1%
1304 1
< 0.1%

2019-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct242
Distinct (%)7.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.704301
Minimum0
Maximum15465
Zeros757
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:14.045511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q314
95-th percentile110
Maximum15465
Range15465
Interquartile range (IQR)13

Descriptive statistics

Standard deviation372.64577
Coefficient of variation (CV)8.9354278
Kurtosis1046.9457
Mean41.704301
Median Absolute Deviation (MAD)4
Skewness29.299933
Sum139626
Variance138864.87
MonotonicityNot monotonic
2024-03-30T01:18:14.522077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 757
20.9%
1 409
 
11.3%
2 285
 
7.9%
3 195
 
5.4%
4 157
 
4.3%
5 121
 
3.3%
6 104
 
2.9%
8 95
 
2.6%
7 77
 
2.1%
10 75
 
2.1%
Other values (232) 1073
29.6%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 757
20.9%
1 409
11.3%
2 285
 
7.9%
3 195
 
5.4%
4 157
 
4.3%
5 121
 
3.3%
6 104
 
2.9%
7 77
 
2.1%
8 95
 
2.6%
9 64
 
1.8%
ValueCountFrequency (%)
15465 1
< 0.1%
9533 1
< 0.1%
6831 1
< 0.1%
4570 1
< 0.1%
3677 1
< 0.1%
3244 1
< 0.1%
2792 1
< 0.1%
2214 1
< 0.1%
1971 1
< 0.1%
1595 1
< 0.1%

2019-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct235
Distinct (%)7.0%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean37.173536
Minimum0
Maximum13760
Zeros760
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:14.944792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q315
95-th percentile104.3
Maximum13760
Range13760
Interquartile range (IQR)14

Descriptive statistics

Standard deviation331.83434
Coefficient of variation (CV)8.9266282
Kurtosis1069.9268
Mean37.173536
Median Absolute Deviation (MAD)3
Skewness29.914082
Sum124457
Variance110114.03
MonotonicityNot monotonic
2024-03-30T01:18:15.412552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 760
21.0%
1 448
12.4%
2 273
 
7.5%
3 195
 
5.4%
4 146
 
4.0%
5 137
 
3.8%
7 95
 
2.6%
6 95
 
2.6%
8 70
 
1.9%
10 68
 
1.9%
Other values (225) 1061
29.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 760
21.0%
1 448
12.4%
2 273
 
7.5%
3 195
 
5.4%
4 146
 
4.0%
5 137
 
3.8%
6 95
 
2.6%
7 95
 
2.6%
8 70
 
1.9%
9 57
 
1.6%
ValueCountFrequency (%)
13760 1
< 0.1%
8853 1
< 0.1%
6267 1
< 0.1%
4149 1
< 0.1%
2842 1
< 0.1%
2630 1
< 0.1%
2351 1
< 0.1%
2042 1
< 0.1%
1766 1
< 0.1%
1223 1
< 0.1%

2019-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct226
Distinct (%)6.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean35.694743
Minimum0
Maximum13414
Zeros814
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:15.871662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile95.3
Maximum13414
Range13414
Interquartile range (IQR)13

Descriptive statistics

Standard deviation321.58892
Coefficient of variation (CV)9.0094197
Kurtosis1082.1014
Mean35.694743
Median Absolute Deviation (MAD)3
Skewness30.03219
Sum119506
Variance103419.43
MonotonicityNot monotonic
2024-03-30T01:18:16.384717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 814
22.5%
1 441
12.2%
2 260
 
7.2%
3 208
 
5.7%
4 168
 
4.6%
5 114
 
3.1%
6 112
 
3.1%
8 86
 
2.4%
7 75
 
2.1%
9 63
 
1.7%
Other values (216) 1007
27.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 814
22.5%
1 441
12.2%
2 260
 
7.2%
3 208
 
5.7%
4 168
 
4.6%
5 114
 
3.1%
6 112
 
3.1%
7 75
 
2.1%
8 86
 
2.4%
9 63
 
1.7%
ValueCountFrequency (%)
13414 1
< 0.1%
8448 1
< 0.1%
6108 1
< 0.1%
3946 1
< 0.1%
2613 1
< 0.1%
2539 1
< 0.1%
2117 1
< 0.1%
2012 1
< 0.1%
1917 1
< 0.1%
1382 1
< 0.1%

2019-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct245
Distinct (%)7.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.894265
Minimum0
Maximum15323
Zeros765
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:16.856188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile121
Maximum15323
Range15323
Interquartile range (IQR)14

Descriptive statistics

Standard deviation381.22557
Coefficient of variation (CV)9.0997078
Kurtosis1009.7176
Mean41.894265
Median Absolute Deviation (MAD)4
Skewness29.323657
Sum140262
Variance145332.94
MonotonicityNot monotonic
2024-03-30T01:18:17.313766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 765
21.1%
1 435
12.0%
2 250
 
6.9%
3 205
 
5.7%
4 133
 
3.7%
6 118
 
3.3%
5 108
 
3.0%
7 97
 
2.7%
8 90
 
2.5%
9 62
 
1.7%
Other values (235) 1085
29.9%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 765
21.1%
1 435
12.0%
2 250
 
6.9%
3 205
 
5.7%
4 133
 
3.7%
5 108
 
3.0%
6 118
 
3.3%
7 97
 
2.7%
8 90
 
2.5%
9 62
 
1.7%
ValueCountFrequency (%)
15323 1
< 0.1%
10584 1
< 0.1%
7923 1
< 0.1%
4701 1
< 0.1%
3180 1
< 0.1%
2821 1
< 0.1%
2595 1
< 0.1%
2215 1
< 0.1%
2197 1
< 0.1%
1529 1
< 0.1%

2019-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct254
Distinct (%)7.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.198029
Minimum0
Maximum15121
Zeros790
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:17.769863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile129
Maximum15121
Range15121
Interquartile range (IQR)13

Descriptive statistics

Standard deviation377.52447
Coefficient of variation (CV)9.1636538
Kurtosis1006.95
Mean41.198029
Median Absolute Deviation (MAD)3
Skewness29.341403
Sum137931
Variance142524.73
MonotonicityNot monotonic
2024-03-30T01:18:18.269194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 790
21.8%
1 422
11.6%
2 273
 
7.5%
3 220
 
6.1%
4 154
 
4.2%
5 134
 
3.7%
7 108
 
3.0%
6 95
 
2.6%
9 72
 
2.0%
8 71
 
2.0%
Other values (244) 1009
27.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 790
21.8%
1 422
11.6%
2 273
 
7.5%
3 220
 
6.1%
4 154
 
4.2%
5 134
 
3.7%
6 95
 
2.6%
7 108
 
3.0%
8 71
 
2.0%
9 72
 
2.0%
ValueCountFrequency (%)
15121 1
< 0.1%
10520 1
< 0.1%
8070 1
< 0.1%
4458 1
< 0.1%
3243 1
< 0.1%
2678 1
< 0.1%
2512 1
< 0.1%
2131 1
< 0.1%
1970 1
< 0.1%
1530 1
< 0.1%

2019-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)7.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean39.117981
Minimum0
Maximum14389
Zeros847
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:18.773635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile122.65
Maximum14389
Range14389
Interquartile range (IQR)13

Descriptive statistics

Standard deviation360.14164
Coefficient of variation (CV)9.2065497
Kurtosis1002.8104
Mean39.117981
Median Absolute Deviation (MAD)3
Skewness29.311779
Sum130967
Variance129702
MonotonicityNot monotonic
2024-03-30T01:18:19.242670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 847
23.4%
1 408
11.3%
2 284
 
7.8%
3 195
 
5.4%
4 168
 
4.6%
5 136
 
3.8%
7 87
 
2.4%
6 87
 
2.4%
8 77
 
2.1%
9 57
 
1.6%
Other values (237) 1002
27.6%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 847
23.4%
1 408
11.3%
2 284
 
7.8%
3 195
 
5.4%
4 168
 
4.6%
5 136
 
3.8%
6 87
 
2.4%
7 87
 
2.4%
8 77
 
2.1%
9 57
 
1.6%
ValueCountFrequency (%)
14389 1
< 0.1%
10052 1
< 0.1%
7740 1
< 0.1%
4493 1
< 0.1%
2912 1
< 0.1%
2442 1
< 0.1%
2337 1
< 0.1%
1978 1
< 0.1%
1900 1
< 0.1%
1295 1
< 0.1%

2019-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct264
Distinct (%)7.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean44.27957
Minimum0
Maximum16332
Zeros755
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:19.701351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile129
Maximum16332
Range16332
Interquartile range (IQR)15

Descriptive statistics

Standard deviation411.61263
Coefficient of variation (CV)9.2957685
Kurtosis981.78088
Mean44.27957
Median Absolute Deviation (MAD)4
Skewness29.016599
Sum148248
Variance169424.96
MonotonicityNot monotonic
2024-03-30T01:18:20.565075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 755
20.8%
1 399
 
11.0%
2 265
 
7.3%
3 221
 
6.1%
4 168
 
4.6%
5 120
 
3.3%
6 96
 
2.6%
8 86
 
2.4%
7 74
 
2.0%
9 61
 
1.7%
Other values (254) 1103
30.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 755
20.8%
1 399
11.0%
2 265
 
7.3%
3 221
 
6.1%
4 168
 
4.6%
5 120
 
3.3%
6 96
 
2.6%
7 74
 
2.0%
8 86
 
2.4%
9 61
 
1.7%
ValueCountFrequency (%)
16332 1
< 0.1%
11476 1
< 0.1%
8748 1
< 0.1%
5430 1
< 0.1%
3850 1
< 0.1%
3181 1
< 0.1%
2560 1
< 0.1%
2313 1
< 0.1%
2088 1
< 0.1%
1553 1
< 0.1%

2019-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct275
Distinct (%)8.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean55.245818
Minimum0
Maximum21097
Zeros764
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:21.022773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile148.3
Maximum21097
Range21097
Interquartile range (IQR)15

Descriptive statistics

Standard deviation505.3665
Coefficient of variation (CV)9.1475974
Kurtosis1056.0152
Mean55.245818
Median Absolute Deviation (MAD)4
Skewness29.355332
Sum184963
Variance255395.3
MonotonicityNot monotonic
2024-03-30T01:18:21.456112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 764
21.1%
1 396
 
10.9%
2 261
 
7.2%
3 179
 
4.9%
4 162
 
4.5%
5 139
 
3.8%
6 93
 
2.6%
7 91
 
2.5%
8 74
 
2.0%
12 58
 
1.6%
Other values (265) 1131
31.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 764
21.1%
1 396
10.9%
2 261
 
7.2%
3 179
 
4.9%
4 162
 
4.5%
5 139
 
3.8%
6 93
 
2.6%
7 91
 
2.5%
8 74
 
2.0%
9 49
 
1.4%
ValueCountFrequency (%)
21097 1
< 0.1%
12433 1
< 0.1%
9493 1
< 0.1%
7251 1
< 0.1%
3814 1
< 0.1%
3257 1
< 0.1%
3136 1
< 0.1%
2762 1
< 0.1%
2645 1
< 0.1%
2425 1
< 0.1%

2019-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct307
Distinct (%)9.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean60.395161
Minimum0
Maximum22287
Zeros683
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:21.906474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile181.3
Maximum22287
Range22287
Interquartile range (IQR)20

Descriptive statistics

Standard deviation544.23633
Coefficient of variation (CV)9.0112572
Kurtosis1058.2478
Mean60.395161
Median Absolute Deviation (MAD)5
Skewness29.957447
Sum202203
Variance296193.19
MonotonicityNot monotonic
2024-03-30T01:18:22.330990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 683
18.8%
1 364
 
10.0%
2 234
 
6.5%
3 197
 
5.4%
4 150
 
4.1%
5 130
 
3.6%
6 118
 
3.3%
7 80
 
2.2%
8 73
 
2.0%
10 69
 
1.9%
Other values (297) 1250
34.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 683
18.8%
1 364
10.0%
2 234
 
6.5%
3 197
 
5.4%
4 150
 
4.1%
5 130
 
3.6%
6 118
 
3.3%
7 80
 
2.2%
8 73
 
2.0%
9 60
 
1.7%
ValueCountFrequency (%)
22287 1
< 0.1%
14935 1
< 0.1%
11353 1
< 0.1%
5569 1
< 0.1%
3870 1
< 0.1%
3819 1
< 0.1%
3766 1
< 0.1%
3197 1
< 0.1%
3071 1
< 0.1%
2149 1
< 0.1%

2020-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct277
Distinct (%)8.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean51.874851
Minimum0
Maximum18976
Zeros768
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:22.717476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316.25
95-th percentile144
Maximum18976
Range18976
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation478.82753
Coefficient of variation (CV)9.2304368
Kurtosis979.71615
Mean51.874851
Median Absolute Deviation (MAD)4
Skewness28.915983
Sum173677
Variance229275.8
MonotonicityNot monotonic
2024-03-30T01:18:23.273682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 768
21.2%
1 422
 
11.6%
2 246
 
6.8%
3 185
 
5.1%
4 155
 
4.3%
5 138
 
3.8%
7 100
 
2.8%
6 93
 
2.6%
8 69
 
1.9%
9 65
 
1.8%
Other values (267) 1107
30.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 768
21.2%
1 422
11.6%
2 246
 
6.8%
3 185
 
5.1%
4 155
 
4.3%
5 138
 
3.8%
6 93
 
2.6%
7 100
 
2.8%
8 69
 
1.9%
9 65
 
1.8%
ValueCountFrequency (%)
18976 1
< 0.1%
13319 1
< 0.1%
10457 1
< 0.1%
5859 1
< 0.1%
3626 1
< 0.1%
3264 1
< 0.1%
2938 1
< 0.1%
2720 1
< 0.1%
2709 1
< 0.1%
2105 1
< 0.1%

2020-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct289
Distinct (%)8.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean53.143369
Minimum0
Maximum19089
Zeros694
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:23.775970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile156.65
Maximum19089
Range19089
Interquartile range (IQR)15

Descriptive statistics

Standard deviation501.60812
Coefficient of variation (CV)9.4387715
Kurtosis925.13186
Mean53.143369
Median Absolute Deviation (MAD)4
Skewness28.446461
Sum177924
Variance251610.71
MonotonicityNot monotonic
2024-03-30T01:18:24.260116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 694
19.2%
1 427
 
11.8%
2 255
 
7.0%
3 208
 
5.7%
4 154
 
4.2%
5 139
 
3.8%
6 114
 
3.1%
7 99
 
2.7%
9 72
 
2.0%
8 62
 
1.7%
Other values (279) 1124
31.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 694
19.2%
1 427
11.8%
2 255
 
7.0%
3 208
 
5.7%
4 154
 
4.2%
5 139
 
3.8%
6 114
 
3.1%
7 99
 
2.7%
8 62
 
1.7%
9 72
 
2.0%
ValueCountFrequency (%)
19089 1
< 0.1%
14608 1
< 0.1%
11564 1
< 0.1%
6404 1
< 0.1%
4879 1
< 0.1%
4131 1
< 0.1%
2650 1
< 0.1%
2425 1
< 0.1%
2073 1
< 0.1%
1802 1
< 0.1%

2020-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct272
Distinct (%)8.1%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50.140681
Minimum0
Maximum18351
Zeros683
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:24.790915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile135.3
Maximum18351
Range18351
Interquartile range (IQR)18

Descriptive statistics

Standard deviation457.45418
Coefficient of variation (CV)9.1234137
Kurtosis990.27153
Mean50.140681
Median Absolute Deviation (MAD)4
Skewness28.935106
Sum167871
Variance209264.32
MonotonicityNot monotonic
2024-03-30T01:18:25.321344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 683
18.8%
1 402
 
11.1%
2 263
 
7.3%
3 199
 
5.5%
4 151
 
4.2%
5 127
 
3.5%
6 93
 
2.6%
8 89
 
2.5%
9 86
 
2.4%
7 79
 
2.2%
Other values (262) 1176
32.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 683
18.8%
1 402
11.1%
2 263
 
7.3%
3 199
 
5.5%
4 151
 
4.2%
5 127
 
3.5%
6 93
 
2.6%
7 79
 
2.2%
8 89
 
2.5%
9 86
 
2.4%
ValueCountFrequency (%)
18351 1
< 0.1%
12494 1
< 0.1%
9243 1
< 0.1%
6158 1
< 0.1%
4101 1
< 0.1%
3413 1
< 0.1%
3296 1
< 0.1%
2841 1
< 0.1%
2455 1
< 0.1%
1785 1
< 0.1%

2020-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct230
Distinct (%)6.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean36.579749
Minimum0
Maximum13463
Zeros759
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:25.862561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile99.65
Maximum13463
Range13463
Interquartile range (IQR)15

Descriptive statistics

Standard deviation326.01844
Coefficient of variation (CV)8.912539
Kurtosis1066.2604
Mean36.579749
Median Absolute Deviation (MAD)4
Skewness29.895374
Sum122469
Variance106288.02
MonotonicityNot monotonic
2024-03-30T01:18:26.457448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 759
20.9%
1 415
 
11.5%
2 271
 
7.5%
3 224
 
6.2%
4 148
 
4.1%
5 128
 
3.5%
6 98
 
2.7%
8 86
 
2.4%
7 84
 
2.3%
10 58
 
1.6%
Other values (220) 1077
29.7%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 759
20.9%
1 415
11.5%
2 271
 
7.5%
3 224
 
6.2%
4 148
 
4.1%
5 128
 
3.5%
6 98
 
2.7%
7 84
 
2.3%
8 86
 
2.4%
9 53
 
1.5%
ValueCountFrequency (%)
13463 1
< 0.1%
8901 1
< 0.1%
6041 1
< 0.1%
3915 1
< 0.1%
2729 1
< 0.1%
2663 1
< 0.1%
2263 1
< 0.1%
2024 1
< 0.1%
1858 1
< 0.1%
1344 1
< 0.1%

2020-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct248
Distinct (%)7.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean40.80227
Minimum0
Maximum14967
Zeros754
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:26.915071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile110.65
Maximum14967
Range14967
Interquartile range (IQR)14

Descriptive statistics

Standard deviation368.92312
Coefficient of variation (CV)9.0417302
Kurtosis1048.2683
Mean40.80227
Median Absolute Deviation (MAD)4
Skewness29.915848
Sum136606
Variance136104.27
MonotonicityNot monotonic
2024-03-30T01:18:27.478268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 754
20.8%
1 416
 
11.5%
2 247
 
6.8%
3 196
 
5.4%
4 163
 
4.5%
5 141
 
3.9%
6 100
 
2.8%
9 82
 
2.3%
7 78
 
2.2%
8 72
 
2.0%
Other values (238) 1099
30.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 754
20.8%
1 416
11.5%
2 247
 
6.8%
3 196
 
5.4%
4 163
 
4.5%
5 141
 
3.9%
6 100
 
2.8%
7 78
 
2.2%
8 72
 
2.0%
9 82
 
2.3%
ValueCountFrequency (%)
14967 1
< 0.1%
10480 1
< 0.1%
7508 1
< 0.1%
4135 1
< 0.1%
2769 1
< 0.1%
2608 1
< 0.1%
2150 1
< 0.1%
2066 1
< 0.1%
1886 1
< 0.1%
1361 1
< 0.1%

2020-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct300
Distinct (%)9.0%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean59.238949
Minimum0
Maximum21654
Zeros646
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:28.340964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q321
95-th percentile168.3
Maximum21654
Range21654
Interquartile range (IQR)20

Descriptive statistics

Standard deviation551.96235
Coefficient of variation (CV)9.3175581
Kurtosis985.51096
Mean59.238949
Median Absolute Deviation (MAD)5
Skewness29.259163
Sum198332
Variance304662.43
MonotonicityNot monotonic
2024-03-30T01:18:29.119207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 646
17.8%
1 392
 
10.8%
2 233
 
6.4%
3 199
 
5.5%
4 174
 
4.8%
5 108
 
3.0%
6 101
 
2.8%
7 101
 
2.8%
9 88
 
2.4%
8 70
 
1.9%
Other values (290) 1236
34.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 646
17.8%
1 392
10.8%
2 233
 
6.4%
3 199
 
5.5%
4 174
 
4.8%
5 108
 
3.0%
6 101
 
2.8%
7 101
 
2.8%
8 70
 
1.9%
9 88
 
2.4%
ValueCountFrequency (%)
21654 1
< 0.1%
16024 1
< 0.1%
12120 1
< 0.1%
6725 1
< 0.1%
4934 1
< 0.1%
3955 1
< 0.1%
2985 1
< 0.1%
2608 1
< 0.1%
2295 1
< 0.1%
1829 1
< 0.1%

2020-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct310
Distinct (%)9.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean66.919355
Minimum0
Maximum24421
Zeros649
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:29.766364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q324
95-th percentile181.3
Maximum24421
Range24421
Interquartile range (IQR)23

Descriptive statistics

Standard deviation613.83167
Coefficient of variation (CV)9.1727075
Kurtosis999.41569
Mean66.919355
Median Absolute Deviation (MAD)6
Skewness29.289279
Sum224046
Variance376789.31
MonotonicityNot monotonic
2024-03-30T01:18:30.427803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 649
17.9%
1 343
 
9.5%
2 226
 
6.2%
3 183
 
5.0%
4 139
 
3.8%
5 123
 
3.4%
6 118
 
3.3%
7 84
 
2.3%
9 72
 
2.0%
8 70
 
1.9%
Other values (300) 1341
37.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 649
17.9%
1 343
9.5%
2 226
 
6.2%
3 183
 
5.0%
4 139
 
3.8%
5 123
 
3.4%
6 118
 
3.3%
7 84
 
2.3%
8 70
 
1.9%
9 72
 
2.0%
ValueCountFrequency (%)
24421 1
< 0.1%
17445 1
< 0.1%
12994 1
< 0.1%
7489 1
< 0.1%
5038 1
< 0.1%
4038 1
< 0.1%
3985 1
< 0.1%
3935 1
< 0.1%
3097 1
< 0.1%
2708 1
< 0.1%

2020-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct250
Distinct (%)7.5%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean45.26374
Minimum0
Maximum16662
Zeros738
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:31.018573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile125.65
Maximum16662
Range16662
Interquartile range (IQR)17

Descriptive statistics

Standard deviation409.38538
Coefficient of variation (CV)9.0444445
Kurtosis1039.3821
Mean45.26374
Median Absolute Deviation (MAD)4
Skewness29.651915
Sum151543
Variance167596.39
MonotonicityNot monotonic
2024-03-30T01:18:31.510966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 738
20.4%
1 348
 
9.6%
2 263
 
7.3%
3 197
 
5.4%
4 170
 
4.7%
5 131
 
3.6%
6 109
 
3.0%
8 79
 
2.2%
7 76
 
2.1%
10 73
 
2.0%
Other values (240) 1164
32.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 738
20.4%
1 348
9.6%
2 263
 
7.3%
3 197
 
5.4%
4 170
 
4.7%
5 131
 
3.6%
6 109
 
3.0%
7 76
 
2.1%
8 79
 
2.2%
9 62
 
1.7%
ValueCountFrequency (%)
16662 1
< 0.1%
11374 1
< 0.1%
8148 1
< 0.1%
4677 1
< 0.1%
3235 1
< 0.1%
3048 1
< 0.1%
2796 1
< 0.1%
2663 1
< 0.1%
2339 1
< 0.1%
1638 1
< 0.1%

2020-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct258
Distinct (%)7.7%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean46.916965
Minimum0
Maximum17567
Zeros720
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:31.904555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile129
Maximum17567
Range17567
Interquartile range (IQR)16

Descriptive statistics

Standard deviation424.0927
Coefficient of variation (CV)9.0392185
Kurtosis1075.6408
Mean46.916965
Median Absolute Deviation (MAD)4
Skewness30.089938
Sum157078
Variance179854.62
MonotonicityNot monotonic
2024-03-30T01:18:32.381906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 720
19.9%
1 396
 
10.9%
2 263
 
7.3%
3 196
 
5.4%
4 173
 
4.8%
6 110
 
3.0%
5 104
 
2.9%
7 96
 
2.6%
8 86
 
2.4%
9 65
 
1.8%
Other values (248) 1139
31.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 720
19.9%
1 396
10.9%
2 263
 
7.3%
3 196
 
5.4%
4 173
 
4.8%
5 104
 
2.9%
6 110
 
3.0%
7 96
 
2.6%
8 86
 
2.4%
9 65
 
1.8%
ValueCountFrequency (%)
17567 1
< 0.1%
11333 1
< 0.1%
8548 1
< 0.1%
4987 1
< 0.1%
3185 1
< 0.1%
3004 1
< 0.1%
2670 1
< 0.1%
2375 1
< 0.1%
2352 1
< 0.1%
1785 1
< 0.1%

2020-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct255
Distinct (%)7.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean45.262246
Minimum0
Maximum16758
Zeros745
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:32.865370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317
95-th percentile124.65
Maximum16758
Range16758
Interquartile range (IQR)16

Descriptive statistics

Standard deviation414.71857
Coefficient of variation (CV)9.1625716
Kurtosis1023.399
Mean45.262246
Median Absolute Deviation (MAD)4
Skewness29.517627
Sum151538
Variance171991.49
MonotonicityNot monotonic
2024-03-30T01:18:33.456393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 745
20.6%
1 390
 
10.8%
2 245
 
6.8%
3 204
 
5.6%
4 173
 
4.8%
5 131
 
3.6%
6 108
 
3.0%
8 75
 
2.1%
9 71
 
2.0%
10 71
 
2.0%
Other values (245) 1135
31.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 745
20.6%
1 390
10.8%
2 245
 
6.8%
3 204
 
5.6%
4 173
 
4.8%
5 131
 
3.6%
6 108
 
3.0%
7 66
 
1.8%
8 75
 
2.1%
9 71
 
2.0%
ValueCountFrequency (%)
16758 1
< 0.1%
11495 1
< 0.1%
8532 1
< 0.1%
5249 1
< 0.1%
3540 1
< 0.1%
2804 1
< 0.1%
2735 1
< 0.1%
2239 1
< 0.1%
1842 1
< 0.1%
1423 1
< 0.1%

2020-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct288
Distinct (%)8.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean53.770609
Minimum0
Maximum19940
Zeros687
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:33.932873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile156
Maximum19940
Range19940
Interquartile range (IQR)19

Descriptive statistics

Standard deviation489.43736
Coefficient of variation (CV)9.1023212
Kurtosis1055.2353
Mean53.770609
Median Absolute Deviation (MAD)5
Skewness30.034565
Sum180024
Variance239548.93
MonotonicityNot monotonic
2024-03-30T01:18:34.651390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 687
19.0%
1 384
 
10.6%
2 260
 
7.2%
3 195
 
5.4%
4 146
 
4.0%
5 127
 
3.5%
6 107
 
3.0%
7 81
 
2.2%
8 72
 
2.0%
9 70
 
1.9%
Other values (278) 1219
33.6%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 687
19.0%
1 384
10.6%
2 260
 
7.2%
3 195
 
5.4%
4 146
 
4.0%
5 127
 
3.5%
6 107
 
3.0%
7 81
 
2.2%
8 72
 
2.0%
9 70
 
1.9%
ValueCountFrequency (%)
19940 1
< 0.1%
13629 1
< 0.1%
10330 1
< 0.1%
5723 1
< 0.1%
3233 1
< 0.1%
3132 1
< 0.1%
2538 1
< 0.1%
2486 1
< 0.1%
2194 1
< 0.1%
1999 1
< 0.1%

2020-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct314
Distinct (%)9.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean66.048088
Minimum0
Maximum24328
Zeros582
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:35.119266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q326
95-th percentile181.3
Maximum24328
Range24328
Interquartile range (IQR)25

Descriptive statistics

Standard deviation603.91922
Coefficient of variation (CV)9.143629
Kurtosis1035.0976
Mean66.048088
Median Absolute Deviation (MAD)6
Skewness29.839999
Sum221129
Variance364718.42
MonotonicityNot monotonic
2024-03-30T01:18:35.571920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 582
16.1%
1 364
 
10.0%
2 252
 
7.0%
3 180
 
5.0%
4 141
 
3.9%
5 123
 
3.4%
7 100
 
2.8%
6 93
 
2.6%
9 87
 
2.4%
8 77
 
2.1%
Other values (304) 1349
37.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 582
16.1%
1 364
10.0%
2 252
7.0%
3 180
 
5.0%
4 141
 
3.9%
5 123
 
3.4%
6 93
 
2.6%
7 100
 
2.8%
8 77
 
2.1%
9 87
 
2.4%
ValueCountFrequency (%)
24328 1
< 0.1%
17114 1
< 0.1%
12893 1
< 0.1%
6934 1
< 0.1%
4751 1
< 0.1%
3815 1
< 0.1%
3776 1
< 0.1%
3087 1
< 0.1%
2710 1
< 0.1%
2041 1
< 0.1%

2021-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct260
Distinct (%)7.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean46.815711
Minimum0
Maximum17520
Zeros698
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:36.084884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile130
Maximum17520
Range17520
Interquartile range (IQR)18

Descriptive statistics

Standard deviation423.40443
Coefficient of variation (CV)9.0440672
Kurtosis1068.8324
Mean46.815711
Median Absolute Deviation (MAD)4
Skewness29.996737
Sum156739
Variance179271.31
MonotonicityNot monotonic
2024-03-30T01:18:36.539339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 698
19.3%
1 401
 
11.1%
2 261
 
7.2%
3 206
 
5.7%
4 153
 
4.2%
5 117
 
3.2%
6 97
 
2.7%
8 81
 
2.2%
7 77
 
2.1%
9 66
 
1.8%
Other values (250) 1191
32.9%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 698
19.3%
1 401
11.1%
2 261
 
7.2%
3 206
 
5.7%
4 153
 
4.2%
5 117
 
3.2%
6 97
 
2.7%
7 77
 
2.1%
8 81
 
2.2%
9 66
 
1.8%
ValueCountFrequency (%)
17520 1
< 0.1%
11267 1
< 0.1%
8385 1
< 0.1%
5451 1
< 0.1%
3336 1
< 0.1%
3068 1
< 0.1%
2638 1
< 0.1%
2418 1
< 0.1%
2319 1
< 0.1%
1964 1
< 0.1%

2021-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct251
Distinct (%)7.5%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean43.776284
Minimum0
Maximum16197
Zeros728
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:36.963415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318
95-th percentile115.65
Maximum16197
Range16197
Interquartile range (IQR)17

Descriptive statistics

Standard deviation394.61799
Coefficient of variation (CV)9.014424
Kurtosis1053.5441
Mean43.776284
Median Absolute Deviation (MAD)4
Skewness29.815441
Sum146563
Variance155723.36
MonotonicityNot monotonic
2024-03-30T01:18:37.514308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 728
20.1%
1 409
 
11.3%
2 242
 
6.7%
3 194
 
5.4%
4 164
 
4.5%
5 127
 
3.5%
6 117
 
3.2%
7 87
 
2.4%
9 71
 
2.0%
8 63
 
1.7%
Other values (241) 1146
31.6%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 728
20.1%
1 409
11.3%
2 242
 
6.7%
3 194
 
5.4%
4 164
 
4.5%
5 127
 
3.5%
6 117
 
3.2%
7 87
 
2.4%
8 63
 
1.7%
9 71
 
2.0%
ValueCountFrequency (%)
16197 1
< 0.1%
10721 1
< 0.1%
7849 1
< 0.1%
4881 1
< 0.1%
3083 1
< 0.1%
2974 1
< 0.1%
2482 1
< 0.1%
2394 1
< 0.1%
2163 1
< 0.1%
1438 1
< 0.1%

2021-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct261
Distinct (%)7.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean49.692354
Minimum0
Maximum18650
Zeros571
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:37.958268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile131
Maximum18650
Range18650
Interquartile range (IQR)21

Descriptive statistics

Standard deviation436.90009
Coefficient of variation (CV)8.7920989
Kurtosis1135.7613
Mean49.692354
Median Absolute Deviation (MAD)5
Skewness30.553736
Sum166370
Variance190881.68
MonotonicityNot monotonic
2024-03-30T01:18:38.480247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 571
15.8%
1 433
 
11.9%
2 230
 
6.3%
3 167
 
4.6%
4 166
 
4.6%
5 123
 
3.4%
6 113
 
3.1%
7 99
 
2.7%
8 74
 
2.0%
9 64
 
1.8%
Other values (251) 1308
36.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 571
15.8%
1 433
11.9%
2 230
6.3%
3 167
 
4.6%
4 166
 
4.6%
5 123
 
3.4%
6 113
 
3.1%
7 99
 
2.7%
8 74
 
2.0%
9 64
 
1.8%
ValueCountFrequency (%)
18650 1
< 0.1%
10994 1
< 0.1%
7321 1
< 0.1%
5979 1
< 0.1%
3989 1
< 0.1%
3411 1
< 0.1%
3088 1
< 0.1%
2358 1
< 0.1%
2188 1
< 0.1%
1968 1
< 0.1%

2021-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct276
Distinct (%)8.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean52.571983
Minimum0
Maximum19520
Zeros593
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:38.971178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile143
Maximum19520
Range19520
Interquartile range (IQR)21

Descriptive statistics

Standard deviation462.76477
Coefficient of variation (CV)8.8024978
Kurtosis1108.4985
Mean52.571983
Median Absolute Deviation (MAD)5
Skewness30.257467
Sum176011
Variance214151.23
MonotonicityNot monotonic
2024-03-30T01:18:39.465084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 593
16.4%
1 398
 
11.0%
2 225
 
6.2%
3 184
 
5.1%
4 149
 
4.1%
5 126
 
3.5%
6 114
 
3.1%
7 92
 
2.5%
10 80
 
2.2%
8 74
 
2.0%
Other values (266) 1313
36.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 593
16.4%
1 398
11.0%
2 225
 
6.2%
3 184
 
5.1%
4 149
 
4.1%
5 126
 
3.5%
6 114
 
3.1%
7 92
 
2.5%
8 74
 
2.0%
9 55
 
1.5%
ValueCountFrequency (%)
19520 1
< 0.1%
12075 1
< 0.1%
8046 1
< 0.1%
5576 1
< 0.1%
4363 1
< 0.1%
3750 1
< 0.1%
3185 1
< 0.1%
2971 1
< 0.1%
2231 1
< 0.1%
1881 1
< 0.1%

2021-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct273
Distinct (%)8.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50.048387
Minimum0
Maximum18448
Zeros633
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:39.925566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322
95-th percentile140.65
Maximum18448
Range18448
Interquartile range (IQR)21

Descriptive statistics

Standard deviation441.37996
Coefficient of variation (CV)8.8190647
Kurtosis1098.8683
Mean50.048387
Median Absolute Deviation (MAD)5
Skewness30.309777
Sum167562
Variance194816.27
MonotonicityNot monotonic
2024-03-30T01:18:40.426742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 633
17.5%
1 378
 
10.4%
2 232
 
6.4%
3 209
 
5.8%
4 139
 
3.8%
5 128
 
3.5%
6 98
 
2.7%
7 85
 
2.3%
8 84
 
2.3%
9 75
 
2.1%
Other values (263) 1287
35.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 633
17.5%
1 378
10.4%
2 232
 
6.4%
3 209
 
5.8%
4 139
 
3.8%
5 128
 
3.5%
6 98
 
2.7%
7 85
 
2.3%
8 84
 
2.3%
9 75
 
2.1%
ValueCountFrequency (%)
18448 1
< 0.1%
11938 1
< 0.1%
7947 1
< 0.1%
5398 1
< 0.1%
3777 1
< 0.1%
3233 1
< 0.1%
3145 1
< 0.1%
2288 1
< 0.1%
2171 1
< 0.1%
1797 1
< 0.1%

2021-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct263
Distinct (%)7.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean48.134707
Minimum0
Maximum17942
Zeros651
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:40.949493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile135
Maximum17942
Range17942
Interquartile range (IQR)19

Descriptive statistics

Standard deviation422.27517
Coefficient of variation (CV)8.7727793
Kurtosis1132.2035
Mean48.134707
Median Absolute Deviation (MAD)5
Skewness30.605365
Sum161155
Variance178316.31
MonotonicityNot monotonic
2024-03-30T01:18:41.400055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 651
18.0%
1 405
 
11.2%
2 228
 
6.3%
3 193
 
5.3%
4 175
 
4.8%
5 108
 
3.0%
6 105
 
2.9%
7 83
 
2.3%
9 79
 
2.2%
8 70
 
1.9%
Other values (253) 1251
34.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 651
18.0%
1 405
11.2%
2 228
 
6.3%
3 193
 
5.3%
4 175
 
4.8%
5 108
 
3.0%
6 105
 
2.9%
7 83
 
2.3%
8 70
 
1.9%
9 79
 
2.2%
ValueCountFrequency (%)
17942 1
< 0.1%
10891 1
< 0.1%
7561 1
< 0.1%
5061 1
< 0.1%
3785 1
< 0.1%
3281 1
< 0.1%
2816 1
< 0.1%
2250 1
< 0.1%
2008 1
< 0.1%
1763 1
< 0.1%

2021-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct260
Distinct (%)7.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean48.106631
Minimum0
Maximum18035
Zeros651
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:41.814603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile135.65
Maximum18035
Range18035
Interquartile range (IQR)19

Descriptive statistics

Standard deviation424.51053
Coefficient of variation (CV)8.8243664
Kurtosis1121.8852
Mean48.106631
Median Absolute Deviation (MAD)5
Skewness30.394205
Sum161061
Variance180209.19
MonotonicityNot monotonic
2024-03-30T01:18:42.402789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 651
18.0%
1 382
 
10.5%
2 257
 
7.1%
3 202
 
5.6%
4 164
 
4.5%
6 120
 
3.3%
5 116
 
3.2%
7 89
 
2.5%
8 77
 
2.1%
11 65
 
1.8%
Other values (250) 1225
33.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 651
18.0%
1 382
10.5%
2 257
 
7.1%
3 202
 
5.6%
4 164
 
4.5%
5 116
 
3.2%
6 120
 
3.3%
7 89
 
2.5%
8 77
 
2.1%
9 52
 
1.4%
ValueCountFrequency (%)
18035 1
< 0.1%
10694 1
< 0.1%
7509 1
< 0.1%
5629 1
< 0.1%
3853 1
< 0.1%
3281 1
< 0.1%
2961 1
< 0.1%
2149 1
< 0.1%
2062 1
< 0.1%
1914 1
< 0.1%

2021-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct256
Distinct (%)7.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean46.329152
Minimum0
Maximum17309
Zeros655
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:42.831214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q319
95-th percentile124
Maximum17309
Range17309
Interquartile range (IQR)18

Descriptive statistics

Standard deviation405.77261
Coefficient of variation (CV)8.7584728
Kurtosis1129.2551
Mean46.329152
Median Absolute Deviation (MAD)5
Skewness30.395228
Sum155110
Variance164651.41
MonotonicityNot monotonic
2024-03-30T01:18:43.460691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 655
18.1%
1 402
 
11.1%
2 250
 
6.9%
3 220
 
6.1%
5 135
 
3.7%
4 134
 
3.7%
6 99
 
2.7%
7 92
 
2.5%
8 76
 
2.1%
9 72
 
2.0%
Other values (246) 1213
33.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 655
18.1%
1 402
11.1%
2 250
 
6.9%
3 220
 
6.1%
4 134
 
3.7%
5 135
 
3.7%
6 99
 
2.7%
7 92
 
2.5%
8 76
 
2.1%
9 72
 
2.0%
ValueCountFrequency (%)
17309 1
< 0.1%
10105 1
< 0.1%
7077 1
< 0.1%
4915 1
< 0.1%
4072 1
< 0.1%
3378 1
< 0.1%
2709 1
< 0.1%
2367 1
< 0.1%
1924 1
< 0.1%
1631 1
< 0.1%

2021-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct256
Distinct (%)7.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean42.967443
Minimum0
Maximum15953
Zeros707
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:43.893378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile121.65
Maximum15953
Range15953
Interquartile range (IQR)18

Descriptive statistics

Standard deviation373.37691
Coefficient of variation (CV)8.6897633
Kurtosis1136.1934
Mean42.967443
Median Absolute Deviation (MAD)4
Skewness30.541463
Sum143855
Variance139410.32
MonotonicityNot monotonic
2024-03-30T01:18:44.362677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 707
19.5%
1 436
 
12.0%
2 246
 
6.8%
3 177
 
4.9%
4 169
 
4.7%
5 126
 
3.5%
6 112
 
3.1%
7 76
 
2.1%
8 73
 
2.0%
9 70
 
1.9%
Other values (246) 1156
31.9%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 707
19.5%
1 436
12.0%
2 246
 
6.8%
3 177
 
4.9%
4 169
 
4.7%
5 126
 
3.5%
6 112
 
3.1%
7 76
 
2.1%
8 73
 
2.0%
9 70
 
1.9%
ValueCountFrequency (%)
15953 1
< 0.1%
9293 1
< 0.1%
6474 1
< 0.1%
4811 1
< 0.1%
3753 1
< 0.1%
3019 1
< 0.1%
2550 1
< 0.1%
1836 1
< 0.1%
1779 1
< 0.1%
1709 1
< 0.1%

2021-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)7.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean40.294504
Minimum0
Maximum15018
Zeros688
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:44.824670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q317.25
95-th percentile111.65
Maximum15018
Range15018
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation351.76625
Coefficient of variation (CV)8.7298815
Kurtosis1147.7741
Mean40.294504
Median Absolute Deviation (MAD)4
Skewness30.818844
Sum134906
Variance123739.49
MonotonicityNot monotonic
2024-03-30T01:18:45.268511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 688
19.0%
1 436
 
12.0%
2 260
 
7.2%
3 182
 
5.0%
4 150
 
4.1%
5 120
 
3.3%
6 106
 
2.9%
7 100
 
2.8%
8 85
 
2.3%
9 71
 
2.0%
Other values (237) 1150
31.7%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 688
19.0%
1 436
12.0%
2 260
 
7.2%
3 182
 
5.0%
4 150
 
4.1%
5 120
 
3.3%
6 106
 
2.9%
7 100
 
2.8%
8 85
 
2.3%
9 71
 
2.0%
ValueCountFrequency (%)
15018 1
< 0.1%
9055 1
< 0.1%
6149 1
< 0.1%
4254 1
< 0.1%
3412 1
< 0.1%
2811 1
< 0.1%
2150 1
< 0.1%
1413 1
< 0.1%
1395 1
< 0.1%
1391 1
< 0.1%

2021-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct241
Distinct (%)7.2%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean42.080645
Minimum0
Maximum16163
Zeros672
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:45.681297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319
95-th percentile120
Maximum16163
Range16163
Interquartile range (IQR)18

Descriptive statistics

Standard deviation365.53122
Coefficient of variation (CV)8.6864451
Kurtosis1247.611
Mean42.080645
Median Absolute Deviation (MAD)4
Skewness31.842279
Sum140886
Variance133613.07
MonotonicityNot monotonic
2024-03-30T01:18:46.149717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 672
18.5%
1 397
 
11.0%
2 262
 
7.2%
3 196
 
5.4%
4 161
 
4.4%
5 130
 
3.6%
7 98
 
2.7%
6 98
 
2.7%
8 78
 
2.2%
10 64
 
1.8%
Other values (231) 1192
32.9%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 672
18.5%
1 397
11.0%
2 262
 
7.2%
3 196
 
5.4%
4 161
 
4.4%
5 130
 
3.6%
6 98
 
2.7%
7 98
 
2.7%
8 78
 
2.2%
9 58
 
1.6%
ValueCountFrequency (%)
16163 1
< 0.1%
8573 1
< 0.1%
5638 1
< 0.1%
4645 1
< 0.1%
3719 1
< 0.1%
3042 1
< 0.1%
2059 1
< 0.1%
2011 1
< 0.1%
1812 1
< 0.1%
1577 1
< 0.1%

2021-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct249
Distinct (%)7.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.053763
Minimum0
Maximum15892
Zeros670
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:46.599069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q319
95-th percentile107
Maximum15892
Range15892
Interquartile range (IQR)18

Descriptive statistics

Standard deviation353.67237
Coefficient of variation (CV)8.6148587
Kurtosis1298.0987
Mean41.053763
Median Absolute Deviation (MAD)5
Skewness32.274657
Sum137448
Variance125084.15
MonotonicityNot monotonic
2024-03-30T01:18:47.288447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 670
18.5%
1 400
 
11.0%
2 250
 
6.9%
3 185
 
5.1%
4 160
 
4.4%
5 133
 
3.7%
6 100
 
2.8%
8 89
 
2.5%
7 87
 
2.4%
9 73
 
2.0%
Other values (239) 1201
33.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 670
18.5%
1 400
11.0%
2 250
 
6.9%
3 185
 
5.1%
4 160
 
4.4%
5 133
 
3.7%
6 100
 
2.8%
7 87
 
2.4%
8 89
 
2.5%
9 73
 
2.0%
ValueCountFrequency (%)
15892 1
< 0.1%
7782 1
< 0.1%
4905 1
< 0.1%
4233 1
< 0.1%
3996 1
< 0.1%
3286 1
< 0.1%
2217 1
< 0.1%
1934 1
< 0.1%
1897 1
< 0.1%
1617 1
< 0.1%

2022-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct213
Distinct (%)6.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean32.68399
Minimum0
Maximum12497
Zeros787
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:47.810659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile94
Maximum12497
Range12497
Interquartile range (IQR)12

Descriptive statistics

Standard deviation285.3605
Coefficient of variation (CV)8.7308955
Kurtosis1206.7239
Mean32.68399
Median Absolute Deviation (MAD)3
Skewness31.262533
Sum109426
Variance81430.618
MonotonicityNot monotonic
2024-03-30T01:18:48.296288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 787
21.7%
1 433
11.9%
2 284
 
7.8%
3 200
 
5.5%
4 171
 
4.7%
5 119
 
3.3%
6 102
 
2.8%
8 78
 
2.2%
9 73
 
2.0%
7 73
 
2.0%
Other values (203) 1028
28.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 787
21.7%
1 433
11.9%
2 284
 
7.8%
3 200
 
5.5%
4 171
 
4.7%
5 119
 
3.3%
6 102
 
2.8%
7 73
 
2.0%
8 78
 
2.2%
9 73
 
2.0%
ValueCountFrequency (%)
12497 1
< 0.1%
6647 1
< 0.1%
4654 1
< 0.1%
3511 1
< 0.1%
3141 1
< 0.1%
2392 1
< 0.1%
1557 1
< 0.1%
1551 1
< 0.1%
1303 1
< 0.1%
1298 1
< 0.1%

2022-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct211
Distinct (%)6.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean29.756571
Minimum0
Maximum11356
Zeros810
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:48.716329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile87
Maximum11356
Range11356
Interquartile range (IQR)12

Descriptive statistics

Standard deviation261.58193
Coefficient of variation (CV)8.7907284
Kurtosis1200.0142
Mean29.756571
Median Absolute Deviation (MAD)3
Skewness31.446868
Sum99625
Variance68425.109
MonotonicityNot monotonic
2024-03-30T01:18:49.134540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 810
22.4%
1 432
11.9%
2 294
 
8.1%
3 192
 
5.3%
4 172
 
4.7%
5 131
 
3.6%
6 101
 
2.8%
7 84
 
2.3%
9 73
 
2.0%
8 70
 
1.9%
Other values (201) 989
27.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 810
22.4%
1 432
11.9%
2 294
 
8.1%
3 192
 
5.3%
4 172
 
4.7%
5 131
 
3.6%
6 101
 
2.8%
7 84
 
2.3%
8 70
 
1.9%
9 73
 
2.0%
ValueCountFrequency (%)
11356 1
< 0.1%
6552 1
< 0.1%
4550 1
< 0.1%
2926 1
< 0.1%
2476 1
< 0.1%
2031 1
< 0.1%
1381 1
< 0.1%
1204 1
< 0.1%
1123 1
< 0.1%
1022 1
< 0.1%

2022-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct227
Distinct (%)6.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean33.915472
Minimum0
Maximum13062
Zeros705
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:49.579636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile94.65
Maximum13062
Range13062
Interquartile range (IQR)14

Descriptive statistics

Standard deviation292.70328
Coefficient of variation (CV)8.630376
Kurtosis1287.6261
Mean33.915472
Median Absolute Deviation (MAD)4
Skewness32.351736
Sum113549
Variance85675.207
MonotonicityNot monotonic
2024-03-30T01:18:50.002262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 705
19.5%
1 441
12.2%
2 275
 
7.6%
3 178
 
4.9%
4 163
 
4.5%
6 133
 
3.7%
5 119
 
3.3%
8 96
 
2.6%
7 74
 
2.0%
10 65
 
1.8%
Other values (217) 1099
30.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 705
19.5%
1 441
12.2%
2 275
 
7.6%
3 178
 
4.9%
4 163
 
4.5%
5 119
 
3.3%
6 133
 
3.7%
7 74
 
2.0%
8 96
 
2.6%
9 65
 
1.8%
ValueCountFrequency (%)
13062 1
< 0.1%
6906 1
< 0.1%
4433 1
< 0.1%
3374 1
< 0.1%
2800 1
< 0.1%
2330 1
< 0.1%
1768 1
< 0.1%
1587 1
< 0.1%
1267 1
< 0.1%
1225 1
< 0.1%

2022-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct246
Distinct (%)7.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean37.899044
Minimum0
Maximum14060
Zeros695
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:50.437761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile107
Maximum14060
Range14060
Interquartile range (IQR)15

Descriptive statistics

Standard deviation327.88581
Coefficient of variation (CV)8.6515589
Kurtosis1140.752
Mean37.899044
Median Absolute Deviation (MAD)4
Skewness30.491964
Sum126886
Variance107509.11
MonotonicityNot monotonic
2024-03-30T01:18:50.972579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 695
19.2%
1 465
12.8%
2 232
 
6.4%
3 219
 
6.0%
4 143
 
3.9%
5 128
 
3.5%
7 110
 
3.0%
6 93
 
2.6%
8 86
 
2.4%
10 69
 
1.9%
Other values (236) 1108
30.6%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 695
19.2%
1 465
12.8%
2 232
 
6.4%
3 219
 
6.0%
4 143
 
3.9%
5 128
 
3.5%
6 93
 
2.6%
7 110
 
3.0%
8 86
 
2.4%
9 61
 
1.7%
ValueCountFrequency (%)
14060 1
< 0.1%
8042 1
< 0.1%
5421 1
< 0.1%
4305 1
< 0.1%
3337 1
< 0.1%
2851 1
< 0.1%
2258 1
< 0.1%
1671 1
< 0.1%
1643 1
< 0.1%
1454 1
< 0.1%

2022-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct226
Distinct (%)6.8%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean35.391876
Minimum0
Maximum13453
Zeros682
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:51.421948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile101
Maximum13453
Range13453
Interquartile range (IQR)15

Descriptive statistics

Standard deviation305.71127
Coefficient of variation (CV)8.6378941
Kurtosis1234.7511
Mean35.391876
Median Absolute Deviation (MAD)4
Skewness31.705442
Sum118492
Variance93459.383
MonotonicityNot monotonic
2024-03-30T01:18:51.934543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 682
18.8%
1 416
 
11.5%
2 243
 
6.7%
3 216
 
6.0%
4 161
 
4.4%
5 154
 
4.2%
6 117
 
3.2%
7 89
 
2.5%
8 80
 
2.2%
9 62
 
1.7%
Other values (216) 1128
31.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 682
18.8%
1 416
11.5%
2 243
 
6.7%
3 216
 
6.0%
4 161
 
4.4%
5 154
 
4.2%
6 117
 
3.2%
7 89
 
2.5%
8 80
 
2.2%
9 62
 
1.7%
ValueCountFrequency (%)
13453 1
< 0.1%
7403 1
< 0.1%
4458 1
< 0.1%
3856 1
< 0.1%
3106 1
< 0.1%
2597 1
< 0.1%
1899 1
< 0.1%
1564 1
< 0.1%
1480 1
< 0.1%
1380 1
< 0.1%

2022-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct215
Distinct (%)6.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean33.327658
Minimum0
Maximum12695
Zeros736
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:52.365570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q314
95-th percentile95.65
Maximum12695
Range12695
Interquartile range (IQR)13

Descriptive statistics

Standard deviation288.67016
Coefficient of variation (CV)8.6615796
Kurtosis1227.4015
Mean33.327658
Median Absolute Deviation (MAD)4
Skewness31.550868
Sum111581
Variance83330.464
MonotonicityNot monotonic
2024-03-30T01:18:52.799777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 736
20.3%
1 438
12.1%
2 264
 
7.3%
3 196
 
5.4%
4 191
 
5.3%
5 126
 
3.5%
6 105
 
2.9%
7 95
 
2.6%
9 75
 
2.1%
8 70
 
1.9%
Other values (205) 1052
29.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 736
20.3%
1 438
12.1%
2 264
 
7.3%
3 196
 
5.4%
4 191
 
5.3%
5 126
 
3.5%
6 105
 
2.9%
7 95
 
2.6%
8 70
 
1.9%
9 75
 
2.1%
ValueCountFrequency (%)
12695 1
< 0.1%
6878 1
< 0.1%
4368 1
< 0.1%
3567 1
< 0.1%
2971 1
< 0.1%
2534 1
< 0.1%
1654 1
< 0.1%
1636 1
< 0.1%
1408 1
< 0.1%
1191 1
< 0.1%

2022-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct191
Distinct (%)5.7%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean24.904719
Minimum0
Maximum9543
Zeros828
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:53.323794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile70
Maximum9543
Range9543
Interquartile range (IQR)10

Descriptive statistics

Standard deviation214.76204
Coefficient of variation (CV)8.6233471
Kurtosis1261.3683
Mean24.904719
Median Absolute Deviation (MAD)3
Skewness31.906995
Sum83381
Variance46122.733
MonotonicityNot monotonic
2024-03-30T01:18:53.841893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 828
22.8%
1 453
12.5%
2 249
 
6.9%
3 229
 
6.3%
4 168
 
4.6%
5 134
 
3.7%
6 123
 
3.4%
7 83
 
2.3%
8 74
 
2.0%
10 63
 
1.7%
Other values (181) 944
26.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 828
22.8%
1 453
12.5%
2 249
 
6.9%
3 229
 
6.3%
4 168
 
4.6%
5 134
 
3.7%
6 123
 
3.4%
7 83
 
2.3%
8 74
 
2.0%
9 62
 
1.7%
ValueCountFrequency (%)
9543 1
< 0.1%
4987 1
< 0.1%
2939 1
< 0.1%
2666 1
< 0.1%
2308 1
< 0.1%
2006 1
< 0.1%
1291 1
< 0.1%
1212 1
< 0.1%
1129 1
< 0.1%
1036 1
< 0.1%

2022-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct200
Distinct (%)6.0%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean26.021804
Minimum0
Maximum9791
Zeros855
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:54.371220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311
95-th percentile76
Maximum9791
Range9791
Interquartile range (IQR)11

Descriptive statistics

Standard deviation227.63706
Coefficient of variation (CV)8.7479354
Kurtosis1160.1327
Mean26.021804
Median Absolute Deviation (MAD)3
Skewness30.82231
Sum87121
Variance51818.632
MonotonicityNot monotonic
2024-03-30T01:18:54.734640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 855
23.6%
1 451
12.4%
2 311
 
8.6%
3 187
 
5.2%
4 162
 
4.5%
5 133
 
3.7%
6 104
 
2.9%
7 101
 
2.8%
8 66
 
1.8%
9 62
 
1.7%
Other values (190) 916
25.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 855
23.6%
1 451
12.4%
2 311
 
8.6%
3 187
 
5.2%
4 162
 
4.5%
5 133
 
3.7%
6 104
 
2.9%
7 101
 
2.8%
8 66
 
1.8%
9 62
 
1.7%
ValueCountFrequency (%)
9791 1
< 0.1%
5699 1
< 0.1%
3766 1
< 0.1%
2912 1
< 0.1%
2148 1
< 0.1%
1835 1
< 0.1%
1482 1
< 0.1%
1080 1
< 0.1%
1069 1
< 0.1%
981 1
< 0.1%

2022-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct181
Distinct (%)5.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean22.66816
Minimum0
Maximum8787
Zeros881
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:55.164222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q310
95-th percentile64
Maximum8787
Range8787
Interquartile range (IQR)10

Descriptive statistics

Standard deviation195.20614
Coefficient of variation (CV)8.6114683
Kurtosis1312.087
Mean22.66816
Median Absolute Deviation (MAD)3
Skewness32.519621
Sum75893
Variance38105.438
MonotonicityNot monotonic
2024-03-30T01:18:55.637573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 881
24.3%
1 481
13.3%
2 303
 
8.4%
3 229
 
6.3%
4 141
 
3.9%
5 126
 
3.5%
6 126
 
3.5%
7 83
 
2.3%
8 66
 
1.8%
9 60
 
1.7%
Other values (171) 852
23.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 881
24.3%
1 481
13.3%
2 303
 
8.4%
3 229
 
6.3%
4 141
 
3.9%
5 126
 
3.5%
6 126
 
3.5%
7 83
 
2.3%
8 66
 
1.8%
9 60
 
1.7%
ValueCountFrequency (%)
8787 1
< 0.1%
4408 1
< 0.1%
2672 1
< 0.1%
2341 1
< 0.1%
2026 1
< 0.1%
1758 1
< 0.1%
1250 1
< 0.1%
1103 1
< 0.1%
937 1
< 0.1%
843 1
< 0.1%

2022-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct168
Distinct (%)5.0%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean19.995221
Minimum0
Maximum7565
Zeros909
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:56.036848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile55
Maximum7565
Range7565
Interquartile range (IQR)9

Descriptive statistics

Standard deviation174.32264
Coefficient of variation (CV)8.7182152
Kurtosis1206.6663
Mean19.995221
Median Absolute Deviation (MAD)2
Skewness31.573522
Sum66944
Variance30388.383
MonotonicityNot monotonic
2024-03-30T01:18:56.455293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 909
25.1%
1 492
13.6%
2 338
 
9.3%
3 189
 
5.2%
4 156
 
4.3%
5 136
 
3.8%
6 118
 
3.3%
8 77
 
2.1%
9 68
 
1.9%
7 68
 
1.9%
Other values (158) 797
22.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 909
25.1%
1 492
13.6%
2 338
 
9.3%
3 189
 
5.2%
4 156
 
4.3%
5 136
 
3.8%
6 118
 
3.3%
7 68
 
1.9%
8 77
 
2.1%
9 68
 
1.9%
ValueCountFrequency (%)
7565 1
< 0.1%
4493 1
< 0.1%
2840 1
< 0.1%
2089 1
< 0.1%
1444 1
< 0.1%
1244 1
< 0.1%
1067 1
< 0.1%
905 1
< 0.1%
814 1
< 0.1%
723 1
< 0.1%

2022-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct169
Distinct (%)5.0%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean20.40681
Minimum0
Maximum7884
Zeros898
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:56.894161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile59
Maximum7884
Range7884
Interquartile range (IQR)9

Descriptive statistics

Standard deviation177.64421
Coefficient of variation (CV)8.7051435
Kurtosis1267.2126
Mean20.40681
Median Absolute Deviation (MAD)2
Skewness32.125791
Sum68322
Variance31557.465
MonotonicityNot monotonic
2024-03-30T01:18:57.339479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 898
24.8%
1 513
14.2%
2 336
 
9.3%
3 196
 
5.4%
4 181
 
5.0%
5 121
 
3.3%
6 106
 
2.9%
7 74
 
2.0%
8 58
 
1.6%
9 53
 
1.5%
Other values (159) 812
22.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 898
24.8%
1 513
14.2%
2 336
 
9.3%
3 196
 
5.4%
4 181
 
5.0%
5 121
 
3.3%
6 106
 
2.9%
7 74
 
2.0%
8 58
 
1.6%
9 53
 
1.5%
ValueCountFrequency (%)
7884 1
< 0.1%
4235 1
< 0.1%
2688 1
< 0.1%
2151 1
< 0.1%
1675 1
< 0.1%
1470 1
< 0.1%
1111 1
< 0.1%
961 1
< 0.1%
864 1
< 0.1%
784 1
< 0.1%

2022-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct186
Distinct (%)5.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean24.341099
Minimum0
Maximum9268
Zeros900
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:57.798143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q310
95-th percentile63
Maximum9268
Range9268
Interquartile range (IQR)10

Descriptive statistics

Standard deviation218.43693
Coefficient of variation (CV)8.9739959
Kurtosis1120.5365
Mean24.341099
Median Absolute Deviation (MAD)3
Skewness30.391156
Sum81494
Variance47714.69
MonotonicityNot monotonic
2024-03-30T01:18:58.520537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
24.8%
1 456
12.6%
2 290
 
8.0%
3 234
 
6.5%
4 165
 
4.6%
5 128
 
3.5%
6 91
 
2.5%
7 89
 
2.5%
8 69
 
1.9%
9 58
 
1.6%
Other values (176) 868
24.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 900
24.8%
1 456
12.6%
2 290
 
8.0%
3 234
 
6.5%
4 165
 
4.6%
5 128
 
3.5%
6 91
 
2.5%
7 89
 
2.5%
8 69
 
1.9%
9 58
 
1.6%
ValueCountFrequency (%)
9268 1
< 0.1%
5555 1
< 0.1%
3851 1
< 0.1%
2851 1
< 0.1%
1810 1
< 0.1%
1717 1
< 0.1%
1609 1
< 0.1%
1343 1
< 0.1%
1015 1
< 0.1%
912 1
< 0.1%

2023-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct159
Distinct (%)4.7%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.472521
Minimum0
Maximum6289
Zeros1152
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:18:58.923007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile45.65
Maximum6289
Range6289
Interquartile range (IQR)7

Descriptive statistics

Standard deviation147.50757
Coefficient of variation (CV)8.9547662
Kurtosis1151.831
Mean16.472521
Median Absolute Deviation (MAD)2
Skewness30.983686
Sum55150
Variance21758.484
MonotonicityNot monotonic
2024-03-30T01:18:59.544008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1152
31.8%
1 518
14.3%
2 275
 
7.6%
3 223
 
6.2%
4 150
 
4.1%
5 99
 
2.7%
6 79
 
2.2%
7 57
 
1.6%
8 56
 
1.5%
9 49
 
1.4%
Other values (149) 690
19.0%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 1152
31.8%
1 518
14.3%
2 275
 
7.6%
3 223
 
6.2%
4 150
 
4.1%
5 99
 
2.7%
6 79
 
2.2%
7 57
 
1.6%
8 56
 
1.5%
9 49
 
1.4%
ValueCountFrequency (%)
6289 1
< 0.1%
3796 1
< 0.1%
2836 1
< 0.1%
1651 1
< 0.1%
1165 1
< 0.1%
993 1
< 0.1%
897 1
< 0.1%
757 1
< 0.1%
680 1
< 0.1%
602 1
< 0.1%

2023-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct183
Distinct (%)5.5%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean24.037634
Minimum0
Maximum8954
Zeros1003
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:00.234051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile67
Maximum8954
Range8954
Interquartile range (IQR)9

Descriptive statistics

Standard deviation217.48399
Coefficient of variation (CV)9.0476452
Kurtosis1065.8223
Mean24.037634
Median Absolute Deviation (MAD)2
Skewness30.02539
Sum80478
Variance47299.285
MonotonicityNot monotonic
2024-03-30T01:19:00.895918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1003
27.7%
1 532
14.7%
2 290
 
8.0%
3 213
 
5.9%
4 141
 
3.9%
5 112
 
3.1%
6 88
 
2.4%
7 62
 
1.7%
8 57
 
1.6%
10 47
 
1.3%
Other values (173) 803
22.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 1003
27.7%
1 532
14.7%
2 290
 
8.0%
3 213
 
5.9%
4 141
 
3.9%
5 112
 
3.1%
6 88
 
2.4%
7 62
 
1.7%
8 57
 
1.6%
9 31
 
0.9%
ValueCountFrequency (%)
8954 1
< 0.1%
5825 1
< 0.1%
4621 1
< 0.1%
2461 1
< 0.1%
1508 1
< 0.1%
1367 1
< 0.1%
1228 1
< 0.1%
1149 1
< 0.1%
1021 1
< 0.1%
1009 1
< 0.1%

2023-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct187
Distinct (%)5.6%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean24.986559
Minimum0
Maximum9411
Zeros902
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:01.376366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile73
Maximum9411
Range9411
Interquartile range (IQR)10

Descriptive statistics

Standard deviation222.97292
Coefficient of variation (CV)8.9237143
Kurtosis1129.5048
Mean24.986559
Median Absolute Deviation (MAD)2
Skewness30.796748
Sum83655
Variance49716.921
MonotonicityNot monotonic
2024-03-30T01:19:02.095594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 902
24.9%
1 504
13.9%
2 287
 
7.9%
3 212
 
5.8%
4 160
 
4.4%
6 110
 
3.0%
5 94
 
2.6%
7 66
 
1.8%
8 65
 
1.8%
9 63
 
1.7%
Other values (177) 885
24.4%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 902
24.9%
1 504
13.9%
2 287
 
7.9%
3 212
 
5.8%
4 160
 
4.4%
5 94
 
2.6%
6 110
 
3.0%
7 66
 
1.8%
8 65
 
1.8%
9 63
 
1.7%
ValueCountFrequency (%)
9411 1
< 0.1%
5883 1
< 0.1%
4357 1
< 0.1%
2576 1
< 0.1%
1562 1
< 0.1%
1532 1
< 0.1%
1285 1
< 0.1%
1206 1
< 0.1%
1004 1
< 0.1%
991 1
< 0.1%

2023-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct180
Distinct (%)5.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean24.235962
Minimum0
Maximum9043
Zeros925
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:02.734266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile69
Maximum9043
Range9043
Interquartile range (IQR)10

Descriptive statistics

Standard deviation217.36955
Coefficient of variation (CV)8.9688847
Kurtosis1085.4159
Mean24.235962
Median Absolute Deviation (MAD)2
Skewness30.218116
Sum81142
Variance47249.519
MonotonicityNot monotonic
2024-03-30T01:19:03.416100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 925
25.5%
1 522
14.4%
2 305
 
8.4%
3 204
 
5.6%
4 147
 
4.1%
5 102
 
2.8%
6 93
 
2.6%
7 77
 
2.1%
9 59
 
1.6%
8 50
 
1.4%
Other values (170) 864
23.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 925
25.5%
1 522
14.4%
2 305
 
8.4%
3 204
 
5.6%
4 147
 
4.1%
5 102
 
2.8%
6 93
 
2.6%
7 77
 
2.1%
8 50
 
1.4%
9 59
 
1.6%
ValueCountFrequency (%)
9043 1
< 0.1%
5763 1
< 0.1%
4344 1
< 0.1%
2664 1
< 0.1%
1633 1
< 0.1%
1576 1
< 0.1%
1420 1
< 0.1%
1243 1
< 0.1%
896 1
< 0.1%
869 1
< 0.1%

2023-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct191
Distinct (%)5.7%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean27.653823
Minimum0
Maximum10406
Zeros905
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:04.080950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311
95-th percentile72
Maximum10406
Range10406
Interquartile range (IQR)11

Descriptive statistics

Standard deviation252.23781
Coefficient of variation (CV)9.1212636
Kurtosis1074.6274
Mean27.653823
Median Absolute Deviation (MAD)3
Skewness30.152504
Sum92585
Variance63623.913
MonotonicityNot monotonic
2024-03-30T01:19:04.711213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 905
25.0%
1 507
14.0%
2 246
 
6.8%
3 216
 
6.0%
4 166
 
4.6%
5 120
 
3.3%
6 118
 
3.3%
8 68
 
1.9%
9 53
 
1.5%
7 52
 
1.4%
Other values (181) 897
24.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 905
25.0%
1 507
14.0%
2 246
 
6.8%
3 216
 
6.0%
4 166
 
4.6%
5 120
 
3.3%
6 118
 
3.3%
7 52
 
1.4%
8 68
 
1.9%
9 53
 
1.5%
ValueCountFrequency (%)
10406 1
< 0.1%
6836 1
< 0.1%
5246 1
< 0.1%
2708 1
< 0.1%
1646 1
< 0.1%
1617 1
< 0.1%
1616 1
< 0.1%
1369 1
< 0.1%
1277 1
< 0.1%
1176 1
< 0.1%

2023-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct215
Distinct (%)6.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean30.141278
Minimum0
Maximum11353
Zeros880
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:05.199900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q311
95-th percentile84.65
Maximum11353
Range11353
Interquartile range (IQR)11

Descriptive statistics

Standard deviation271.38848
Coefficient of variation (CV)9.003881
Kurtosis1087.1285
Mean30.141278
Median Absolute Deviation (MAD)2.5
Skewness30.110489
Sum100913
Variance73651.709
MonotonicityNot monotonic
2024-03-30T01:19:05.756638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 880
24.3%
1 479
13.2%
2 315
 
8.7%
3 232
 
6.4%
4 142
 
3.9%
5 125
 
3.4%
6 87
 
2.4%
8 68
 
1.9%
7 64
 
1.8%
9 52
 
1.4%
Other values (205) 904
24.9%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 880
24.3%
1 479
13.2%
2 315
 
8.7%
3 232
 
6.4%
4 142
 
3.9%
5 125
 
3.4%
6 87
 
2.4%
7 64
 
1.8%
8 68
 
1.9%
9 52
 
1.4%
ValueCountFrequency (%)
11353 1
< 0.1%
6948 1
< 0.1%
5393 1
< 0.1%
3530 1
< 0.1%
2063 1
< 0.1%
1887 1
< 0.1%
1706 1
< 0.1%
1642 1
< 0.1%
1422 1
< 0.1%
1096 1
< 0.1%

2023-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct196
Distinct (%)5.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean26.620072
Minimum0
Maximum10010
Zeros902
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:06.240165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile77.65
Maximum10010
Range10010
Interquartile range (IQR)11

Descriptive statistics

Standard deviation240.43052
Coefficient of variation (CV)9.0319261
Kurtosis1090.3729
Mean26.620072
Median Absolute Deviation (MAD)2
Skewness30.330712
Sum89124
Variance57806.835
MonotonicityNot monotonic
2024-03-30T01:19:06.741399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 902
24.9%
1 515
14.2%
2 301
 
8.3%
3 211
 
5.8%
4 148
 
4.1%
5 121
 
3.3%
6 82
 
2.3%
7 71
 
2.0%
9 58
 
1.6%
8 51
 
1.4%
Other values (186) 888
24.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 902
24.9%
1 515
14.2%
2 301
 
8.3%
3 211
 
5.8%
4 148
 
4.1%
5 121
 
3.3%
6 82
 
2.3%
7 71
 
2.0%
8 51
 
1.4%
9 58
 
1.6%
ValueCountFrequency (%)
10010 1
< 0.1%
6354 1
< 0.1%
4917 1
< 0.1%
2939 1
< 0.1%
1725 1
< 0.1%
1632 1
< 0.1%
1513 1
< 0.1%
1281 1
< 0.1%
1023 1
< 0.1%
974 1
< 0.1%

2023-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct199
Distinct (%)5.9%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean27.660096
Minimum0
Maximum10420
Zeros887
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:07.225764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile76
Maximum10420
Range10420
Interquartile range (IQR)11

Descriptive statistics

Standard deviation251.3025
Coefficient of variation (CV)9.0853808
Kurtosis1078.047
Mean27.660096
Median Absolute Deviation (MAD)2
Skewness30.1608
Sum92606
Variance63152.947
MonotonicityNot monotonic
2024-03-30T01:19:07.673893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 887
24.5%
1 496
13.7%
2 295
 
8.1%
3 218
 
6.0%
4 151
 
4.2%
5 110
 
3.0%
6 89
 
2.5%
8 73
 
2.0%
7 70
 
1.9%
9 59
 
1.6%
Other values (189) 900
24.8%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 887
24.5%
1 496
13.7%
2 295
 
8.1%
3 218
 
6.0%
4 151
 
4.2%
5 110
 
3.0%
6 89
 
2.5%
7 70
 
1.9%
8 73
 
2.0%
9 59
 
1.6%
ValueCountFrequency (%)
10420 1
< 0.1%
6643 1
< 0.1%
5180 1
< 0.1%
3084 1
< 0.1%
1814 1
< 0.1%
1761 1
< 0.1%
1519 1
< 0.1%
1484 1
< 0.1%
1053 1
< 0.1%
1024 1
< 0.1%

2023-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct190
Distinct (%)5.7%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean24.529869
Minimum0
Maximum9160
Zeros934
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:08.157686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile70
Maximum9160
Range9160
Interquartile range (IQR)10

Descriptive statistics

Standard deviation223.49985
Coefficient of variation (CV)9.1113351
Kurtosis1062.438
Mean24.529869
Median Absolute Deviation (MAD)2
Skewness30.093518
Sum82126
Variance49952.185
MonotonicityNot monotonic
2024-03-30T01:19:08.605224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 934
25.8%
1 506
14.0%
2 307
 
8.5%
3 219
 
6.0%
4 164
 
4.5%
5 107
 
3.0%
6 98
 
2.7%
7 63
 
1.7%
8 58
 
1.6%
9 50
 
1.4%
Other values (180) 842
23.2%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 934
25.8%
1 506
14.0%
2 307
 
8.5%
3 219
 
6.0%
4 164
 
4.5%
5 107
 
3.0%
6 98
 
2.7%
7 63
 
1.7%
8 58
 
1.6%
9 50
 
1.4%
ValueCountFrequency (%)
9160 1
< 0.1%
6096 1
< 0.1%
4742 1
< 0.1%
2603 1
< 0.1%
1608 1
< 0.1%
1489 1
< 0.1%
1288 1
< 0.1%
1244 1
< 0.1%
1012 1
< 0.1%
999 1
< 0.1%

2023-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct178
Distinct (%)5.3%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean23.581243
Minimum0
Maximum8816
Zeros944
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:09.057023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile64
Maximum8816
Range8816
Interquartile range (IQR)10

Descriptive statistics

Standard deviation212.54618
Coefficient of variation (CV)9.0133581
Kurtosis1089.8568
Mean23.581243
Median Absolute Deviation (MAD)2
Skewness30.380913
Sum78950
Variance45175.88
MonotonicityNot monotonic
2024-03-30T01:19:09.522981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 944
26.0%
1 499
13.8%
2 318
 
8.8%
3 220
 
6.1%
4 132
 
3.6%
5 110
 
3.0%
6 80
 
2.2%
7 73
 
2.0%
8 65
 
1.8%
10 54
 
1.5%
Other values (168) 853
23.5%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 944
26.0%
1 499
13.8%
2 318
 
8.8%
3 220
 
6.1%
4 132
 
3.6%
5 110
 
3.0%
6 80
 
2.2%
7 73
 
2.0%
8 65
 
1.8%
9 39
 
1.1%
ValueCountFrequency (%)
8816 1
< 0.1%
5761 1
< 0.1%
4335 1
< 0.1%
2325 1
< 0.1%
1629 1
< 0.1%
1412 1
< 0.1%
1409 1
< 0.1%
1118 1
< 0.1%
1080 1
< 0.1%
743 1
< 0.1%

2023-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct192
Distinct (%)5.7%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean25.747013
Minimum0
Maximum9795
Zeros891
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:09.971843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile70
Maximum9795
Range9795
Interquartile range (IQR)11

Descriptive statistics

Standard deviation229.39121
Coefficient of variation (CV)8.9094301
Kurtosis1167.1078
Mean25.747013
Median Absolute Deviation (MAD)2
Skewness31.289078
Sum86201
Variance52620.329
MonotonicityNot monotonic
2024-03-30T01:19:10.465928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 891
24.6%
1 516
14.2%
2 292
 
8.1%
3 198
 
5.5%
4 145
 
4.0%
5 114
 
3.1%
6 91
 
2.5%
7 76
 
2.1%
9 59
 
1.6%
11 57
 
1.6%
Other values (182) 909
25.1%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 891
24.6%
1 516
14.2%
2 292
 
8.1%
3 198
 
5.5%
4 145
 
4.0%
5 114
 
3.1%
6 91
 
2.5%
7 76
 
2.1%
8 56
 
1.5%
9 59
 
1.6%
ValueCountFrequency (%)
9795 1
< 0.1%
5998 1
< 0.1%
4483 1
< 0.1%
2343 1
< 0.1%
1683 1
< 0.1%
1456 1
< 0.1%
1247 1
< 0.1%
1211 1
< 0.1%
1158 1
< 0.1%
904 1
< 0.1%

2023-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct182
Distinct (%)5.4%
Missing276
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean22.441159
Minimum0
Maximum8507
Zeros934
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:10.990223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile64
Maximum8507
Range8507
Interquartile range (IQR)10

Descriptive statistics

Standard deviation201.96057
Coefficient of variation (CV)8.9995607
Kurtosis1127.0518
Mean22.441159
Median Absolute Deviation (MAD)2
Skewness30.798548
Sum75133
Variance40788.072
MonotonicityNot monotonic
2024-03-30T01:19:11.461618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 934
25.8%
1 504
13.9%
2 295
 
8.1%
3 227
 
6.3%
4 141
 
3.9%
5 120
 
3.3%
6 101
 
2.8%
7 78
 
2.2%
8 60
 
1.7%
11 45
 
1.2%
Other values (172) 843
23.3%
(Missing) 276
 
7.6%
ValueCountFrequency (%)
0 934
25.8%
1 504
13.9%
2 295
 
8.1%
3 227
 
6.3%
4 141
 
3.9%
5 120
 
3.3%
6 101
 
2.8%
7 78
 
2.2%
8 60
 
1.7%
9 42
 
1.2%
ValueCountFrequency (%)
8507 1
< 0.1%
5366 1
< 0.1%
3981 1
< 0.1%
2245 1
< 0.1%
1520 1
< 0.1%
1319 1
< 0.1%
1288 1
< 0.1%
1007 1
< 0.1%
914 1
< 0.1%
827 1
< 0.1%

2024-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct187
Distinct (%)5.5%
Missing240
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean24.71247
Minimum0
Maximum9384
Zeros945
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-30T01:19:11.878295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile69
Maximum9384
Range9384
Interquartile range (IQR)10

Descriptive statistics

Standard deviation227.91164
Coefficient of variation (CV)9.2225355
Kurtosis1073.2485
Mean24.71247
Median Absolute Deviation (MAD)2
Skewness30.260492
Sum83627
Variance51943.714
MonotonicityNot monotonic
2024-03-30T01:19:12.627354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 945
26.1%
1 529
14.6%
2 313
 
8.6%
3 207
 
5.7%
4 155
 
4.3%
5 121
 
3.3%
6 104
 
2.9%
7 66
 
1.8%
10 58
 
1.6%
8 48
 
1.3%
Other values (177) 838
23.1%
(Missing) 240
 
6.6%
ValueCountFrequency (%)
0 945
26.1%
1 529
14.6%
2 313
 
8.6%
3 207
 
5.7%
4 155
 
4.3%
5 121
 
3.3%
6 104
 
2.9%
7 66
 
1.8%
8 48
 
1.3%
9 45
 
1.2%
ValueCountFrequency (%)
9384 1
< 0.1%
6248 1
< 0.1%
4901 1
< 0.1%
2661 1
< 0.1%
1683 1
< 0.1%
1409 1
< 0.1%
1405 1
< 0.1%
1196 1
< 0.1%
945 1
< 0.1%
899 1
< 0.1%

Sample

지역 및 건물용도2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국101321197414968131891432712272107749703140711478520299205161279010332118151124312726106171192812138108761292612246119071125210196132321396013072130191309997809235910871747996602780091041010956995111590126201129112878131371141513051864893871365711553934998531012790648596102151198616799109771175313735131351268612353115871149510716109021170016692764110814118751077110667105931025011390102436105981159315307835288341077812933138421849599699174921913148129121652511157139541426514469127481261113520131871406618660146671697014801128901873519704172891872122180160392475416822168171674514018119881627015020156411640717807177451601818606181682023212662127741643914966172141885519299210641926414775176281826818367163091947916524173701587518790152281506217486147061632813604113871394115465137601341415323151211438916332210972228718976190891835113463149672165424421166621756716758199402432817520161971865019520184481794218035173091595315018161631589212497113561306214060134531269595439791878775657884926862898954941190431040611353100101042091608816979585079384
1전국 /주거용738085351100596811013189237522667710894116611627913795904572087795778986666792830483137903922888157989781272659121104839294919092586817639667575323541644905915749877317349849391848311946992498290872862286844104147768660768566472604858307239905611809780177941012195848798849280858183769781498543119694448632872197240732868856592684554657741815411298454454747073874098751423760945957618797729460109188135102821001310562901990269692940110435147341076111374970494381371513747128341306414206116771062712377119781159689787852993810283109121151011756122341129513161128671174384648518105641043311938131641386315270131281042812307122991329811191141171078610991109261114410457110391282510431920192797860938595338853844810584105201005211476124331493513319146081249489011048016024174451137411333114951362917114112671072110994120751193810891106941010592939055857377826647655269068042740368784987569944084493423555553796582558835763683669486354664360965761599853666248
2전국 /단독주택817114916151516177114521223115415621576223426481392101712051270132211291130113092412611245113197590512091508146014291352102595298077375358475990410001081124012921158129713271221131388199212151187115211631034998823105612862189108211681287132913591343118412281146124513001565712953108911691222107811199949041168113713777447941079125813581863933932909125911371326100911381338141413881394144812991398163614071500121613121642185221412154208220351648192417671839135112181548159117391706172717441467173617551739128515721950181920662171212221971983169220042016166614212110185618911811170915781461182515291390114897013041291122310531209111910341231130615631265138514451344136116742022151812631344158320411278124417221881179714871397137312391280134113619309321180119813231158975937843814784912522632793750788787701721611680722701617
3전국 /다가구주택1622493753934634133323345195478899855474174544684524234333643545084754363903214495895736105564163062912321941341832393043244194673904915034574443003094073853413683473082963344333441271376318898758427236596516727701190280429605646650603602482427633642987310347529722785142836140150375476093068973382991483886989978288210981019110487373411311257108813481527112610551171108711058407028639189651090110611381038109411361032637381384348399419401397360257285329225182298246243230228207189368501562478391441527510508544493463531589770598635685544594843952610551517604783525519644728749648591546550526572543357346430494581487398372334279291325131178226224267273271250267253272245228
4전국 /다세대주택38358579278685273666470510501123160615301016888850923859725735740636952872763684691978131511581100104367861360340943525931744452153664568260772976667263040844564166056153945939338250891173146345770976068064855358760664665986330168559663961254150262843361361478831344654568874594443452849074871683149166675898680769967663184892981386866474819721201110311451557102210041162103710207627389701055106411251068115810401192120911737438131007101310721155115211291035778890956792688969808842731794745714886785781609483652693668606728655610742808945764780851742756103911488537548328241012814845102211421093967933868823848808738544550685726798672536474436413351362226306361315394365335360357374395322391
5전국 /연립주택1462292852863312742182163483645544872842202922632632152342041822592482192002012693422982752791881641571241089010613317018020119318321521318619113813918017815013813112011014518122114014519821620219818017716419319325983143185183177159141125170167185238911201561942032771151241341952852221461822142252021881921832013412142051722072742952702922822412202712652991931702602772952712362532482832802591912293202803093053662952792392902482202022742142602492182092222382231901651271651911851741801832042242383062362462702302603483292462162702893842652642872783522282652412082532142361611731792022441941391491231471211068088146130141130130132119118125117110
6전국 /아파트5872632379386700671560495084426874158050109968145580646664995486557704301577358745807624759755440556351466216672858055776602745104361472537863926342245515777573552285987655059736737644157546150450149597971535944034648450042284220519562458324598958877297639056835462544555315130539456218092307141174743460446664503422846173531516155757909308637674764587967839725425239714151681665627607580075636873702257845877647765067105107307309769767806437869891438231812587587253670178497822733358325023629764416849731976187941750188568486754056095523690469738093911398231125294727463883887511039586981046576617754790481957717845395097393627968795889682368316267610879238070774087489493113531045711564924360417508121201299481488548853210330128938385784973218046794775617509707764746149563849054654455044335421445843682939376626722840268838512836462143574344524653934917518047424335448339814901
7전국 /상업업무용1842200423291940264119851831176919161896241041562388193925282163261324392290271117592479218525742093171823772181241221402216162515301288100912868271068160718521520176718911766199217951789245214171387163318081636162816441408154415001706260818211597206920522447220020972041182817051878310018602018219620142000202319372944177918022075230823601638194527082205276423781853190220711946260118902261233123232390238025222100225525272520334824302085319942432654338456812628110232798306632532405266829402555313731804257376430753833344452702504261530982877330735353378357737272812332238972928309332603429453329233095300724533083285133552673210325323677284226132821251224422560264538193264265034132729260829854038323531852735313237763068297439894363377737853853407237533412371939963141247628003337310629712308214820261444167518101165136715321633161618871725176114891629168315201409
8전국 /오피스텔<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>428445501470490585661831768588621576589634769527535637674585532634563546561423414433491496625542464472476622555577572467459689941572515496595689650492579613544504572694734601677710750445470486509437302313268200205201172217247213248245212242245220226200212
9전국 /그 외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>207721692597240728172950271727462959222527023321233924592492290239982286242124221920244922882808211116802119324423512117219719701978208821693197270920732841226321502295309726632670223925383087241824823411375032333281328133783019281130423286239220312330285125972534200618351758124414701609993114912851420136916421513151912441409145613191196
지역 및 건물용도2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
3614제주 서귀포시/단독주택<NA><NA><NA><NA><NA><NA>4555665645365535555436554245343654456115544468656554666746887545591066875775667105610810118899131011101015101011101313111217141312161811111017182015161715141091611171716151316111716121510101517151521151413101271181488101210612966711910961210131081311131111121512121281081110107111113128897810677787767109512
3615제주 서귀포시/다가구주택<NA><NA><NA><NA><NA><NA>0000110010001000010000000010000100000000110000000001010010211001001110111010111012210213231221303313647344574345364666423223674001101021030101000122141324313013211112033110121111242122182014240112312122211211111
3616제주 서귀포시/다세대주택<NA><NA><NA><NA><NA><NA>0021122210112001112112110001012121103011123210310012122110111012131211121111122221111212113223121231255323132133332422452435463433233353375346545444331122522422123222334233223333322321132235421211213121222128112
3617제주 서귀포시/연립주택<NA><NA><NA><NA><NA><NA>122123422111211211221110223211221232231222443212221255522231132349351122127428321212212213342322312913115415512571266814106101079669510881121861068661076888915775446885574473555444459866688109111016987679117168101323756432346131253333365
3618제주 서귀포시/아파트<NA><NA><NA><NA><NA><NA>1132237742323224346433221419333364342233233465322323233477664236443164433375854354746111110651212111813663343138423271515105710324948381614162043253824151612193032221516161271086899159108127165661014867556144555576757116591228171213121012111288102110138676543106434614564644645
3619제주 서귀포시/상업업무용<NA><NA><NA><NA><NA><NA>92623884573111143644615724310311162133321210614844311435455771154661116625343644563641310864086767417519451511157141319161210252439147171194391312991222151418121982422141727191314141016132517152147171779171515111819749164559853776738615736810236501114881623211381181616912810696957551375103214712
3620제주 서귀포시/오피스텔<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2213531222134132112321021101001001011120014000111010001011101101101011100011011010111
3621제주 서귀포시/그 외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20121524141013128141323121419451616771413141116187481645596436665286116357923649111386162220128107161581279585947451364102114612
3622제주 서귀포시/공업용<NA><NA><NA><NA><NA><NA>20000000100000000100000000000000000200010000000000023002000030010000001010020010000020010100050011003000000102000200000000100000100000013000000001001000000000005171621080000000000100011001024011120000000030000220111
3623제주 서귀포시/기타건물<NA><NA><NA><NA><NA><NA>034022221362200201204302322741115261214231235213343311228212522534627623321323224265645312428612334254553433542535336636335252722535332672222211403155335434423231242223223133333243258563421245213672353611511391223291212