Overview

Dataset statistics

Number of variables218
Number of observations2718
Missing cells50328
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 MiB
Average record size in memory1.9 KiB

Variable types

Text1
Numeric217

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 아파트매매 거래현황의 월별 거래규모별(면적) 데이터입니다.-(단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068528/fileData.do

Alerts

2006-01 has 396 (14.6%) missing valuesMissing
2006-02 has 306 (11.3%) missing valuesMissing
2006-03 has 297 (10.9%) missing valuesMissing
2006-04 has 279 (10.3%) missing valuesMissing
2006-05 has 270 (9.9%) missing valuesMissing
2006-06 has 270 (9.9%) missing valuesMissing
2006-07 has 288 (10.6%) missing valuesMissing
2006-08 has 288 (10.6%) missing valuesMissing
2006-09 has 288 (10.6%) missing valuesMissing
2006-10 has 288 (10.6%) missing valuesMissing
2006-11 has 288 (10.6%) missing valuesMissing
2006-12 has 288 (10.6%) missing valuesMissing
2007-01 has 288 (10.6%) missing valuesMissing
2007-02 has 288 (10.6%) missing valuesMissing
2007-03 has 288 (10.6%) missing valuesMissing
2007-04 has 288 (10.6%) missing valuesMissing
2007-05 has 288 (10.6%) missing valuesMissing
2007-06 has 288 (10.6%) missing valuesMissing
2007-07 has 288 (10.6%) missing valuesMissing
2007-08 has 288 (10.6%) missing valuesMissing
2007-09 has 288 (10.6%) missing valuesMissing
2007-10 has 288 (10.6%) missing valuesMissing
2007-11 has 288 (10.6%) missing valuesMissing
2007-12 has 288 (10.6%) missing valuesMissing
2008-01 has 288 (10.6%) missing valuesMissing
2008-02 has 288 (10.6%) missing valuesMissing
2008-03 has 288 (10.6%) missing valuesMissing
2008-04 has 288 (10.6%) missing valuesMissing
2008-05 has 279 (10.3%) missing valuesMissing
2008-06 has 261 (9.6%) missing valuesMissing
2008-07 has 261 (9.6%) missing valuesMissing
2008-08 has 261 (9.6%) missing valuesMissing
2008-09 has 261 (9.6%) missing valuesMissing
2008-10 has 261 (9.6%) missing valuesMissing
2008-11 has 261 (9.6%) missing valuesMissing
2008-12 has 261 (9.6%) missing valuesMissing
2009-01 has 261 (9.6%) missing valuesMissing
2009-02 has 261 (9.6%) missing valuesMissing
2009-03 has 261 (9.6%) missing valuesMissing
2009-04 has 261 (9.6%) missing valuesMissing
2009-05 has 261 (9.6%) missing valuesMissing
2009-06 has 261 (9.6%) missing valuesMissing
2009-07 has 261 (9.6%) missing valuesMissing
2009-08 has 261 (9.6%) missing valuesMissing
2009-09 has 261 (9.6%) missing valuesMissing
2009-10 has 261 (9.6%) missing valuesMissing
2009-11 has 261 (9.6%) missing valuesMissing
2009-12 has 261 (9.6%) missing valuesMissing
2010-01 has 261 (9.6%) missing valuesMissing
2010-02 has 261 (9.6%) missing valuesMissing
2010-03 has 261 (9.6%) missing valuesMissing
2010-04 has 261 (9.6%) missing valuesMissing
2010-05 has 261 (9.6%) missing valuesMissing
2010-06 has 261 (9.6%) missing valuesMissing
2010-07 has 234 (8.6%) missing valuesMissing
2010-08 has 234 (8.6%) missing valuesMissing
2010-09 has 234 (8.6%) missing valuesMissing
2010-10 has 234 (8.6%) missing valuesMissing
2010-11 has 234 (8.6%) missing valuesMissing
2010-12 has 234 (8.6%) missing valuesMissing
2011-01 has 234 (8.6%) missing valuesMissing
2011-02 has 234 (8.6%) missing valuesMissing
2011-03 has 234 (8.6%) missing valuesMissing
2011-04 has 234 (8.6%) missing valuesMissing
2011-05 has 234 (8.6%) missing valuesMissing
2011-06 has 234 (8.6%) missing valuesMissing
2011-07 has 234 (8.6%) missing valuesMissing
2011-08 has 234 (8.6%) missing valuesMissing
2011-09 has 234 (8.6%) missing valuesMissing
2011-10 has 234 (8.6%) missing valuesMissing
2011-11 has 234 (8.6%) missing valuesMissing
2011-12 has 234 (8.6%) missing valuesMissing
2012-01 has 234 (8.6%) missing valuesMissing
2012-02 has 234 (8.6%) missing valuesMissing
2012-03 has 234 (8.6%) missing valuesMissing
2012-04 has 234 (8.6%) missing valuesMissing
2012-05 has 234 (8.6%) missing valuesMissing
2012-06 has 234 (8.6%) missing valuesMissing
2012-07 has 225 (8.3%) missing valuesMissing
2012-08 has 225 (8.3%) missing valuesMissing
2012-09 has 225 (8.3%) missing valuesMissing
2012-10 has 225 (8.3%) missing valuesMissing
2012-11 has 225 (8.3%) missing valuesMissing
2012-12 has 225 (8.3%) missing valuesMissing
2013-01 has 225 (8.3%) missing valuesMissing
2013-02 has 225 (8.3%) missing valuesMissing
2013-03 has 225 (8.3%) missing valuesMissing
2013-04 has 225 (8.3%) missing valuesMissing
2013-05 has 225 (8.3%) missing valuesMissing
2013-06 has 225 (8.3%) missing valuesMissing
2013-07 has 225 (8.3%) missing valuesMissing
2013-08 has 225 (8.3%) missing valuesMissing
2013-09 has 216 (7.9%) missing valuesMissing
2013-10 has 225 (8.3%) missing valuesMissing
2013-11 has 225 (8.3%) missing valuesMissing
2013-12 has 225 (8.3%) missing valuesMissing
2014-01 has 261 (9.6%) missing valuesMissing
2014-02 has 243 (8.9%) missing valuesMissing
2014-03 has 234 (8.6%) missing valuesMissing
2014-04 has 234 (8.6%) missing valuesMissing
2014-05 has 234 (8.6%) missing valuesMissing
2014-06 has 234 (8.6%) missing valuesMissing
2014-07 has 225 (8.3%) missing valuesMissing
2014-08 has 225 (8.3%) missing valuesMissing
2014-09 has 225 (8.3%) missing valuesMissing
2014-10 has 225 (8.3%) missing valuesMissing
2014-11 has 225 (8.3%) missing valuesMissing
2014-12 has 225 (8.3%) missing valuesMissing
2015-01 has 225 (8.3%) missing valuesMissing
2015-02 has 225 (8.3%) missing valuesMissing
2015-03 has 225 (8.3%) missing valuesMissing
2015-04 has 216 (7.9%) missing valuesMissing
2015-05 has 216 (7.9%) missing valuesMissing
2015-06 has 216 (7.9%) missing valuesMissing
2015-07 has 189 (7.0%) missing valuesMissing
2015-08 has 189 (7.0%) missing valuesMissing
2015-09 has 189 (7.0%) missing valuesMissing
2015-10 has 189 (7.0%) missing valuesMissing
2015-11 has 189 (7.0%) missing valuesMissing
2015-12 has 189 (7.0%) missing valuesMissing
2016-01 has 189 (7.0%) missing valuesMissing
2016-02 has 189 (7.0%) missing valuesMissing
2016-03 has 189 (7.0%) missing valuesMissing
2016-04 has 189 (7.0%) missing valuesMissing
2016-05 has 189 (7.0%) missing valuesMissing
2016-06 has 189 (7.0%) missing valuesMissing
2016-07 has 216 (7.9%) missing valuesMissing
2016-08 has 216 (7.9%) missing valuesMissing
2016-09 has 216 (7.9%) missing valuesMissing
2016-10 has 216 (7.9%) missing valuesMissing
2016-11 has 216 (7.9%) missing valuesMissing
2016-12 has 216 (7.9%) missing valuesMissing
2017-01 has 216 (7.9%) missing valuesMissing
2017-02 has 216 (7.9%) missing valuesMissing
2017-03 has 216 (7.9%) missing valuesMissing
2017-04 has 216 (7.9%) missing valuesMissing
2017-05 has 216 (7.9%) missing valuesMissing
2017-06 has 216 (7.9%) missing valuesMissing
2017-07 has 216 (7.9%) missing valuesMissing
2017-08 has 216 (7.9%) missing valuesMissing
2017-09 has 216 (7.9%) missing valuesMissing
2017-10 has 216 (7.9%) missing valuesMissing
2017-11 has 216 (7.9%) missing valuesMissing
2017-12 has 216 (7.9%) missing valuesMissing
2018-01 has 216 (7.9%) missing valuesMissing
2018-02 has 216 (7.9%) missing valuesMissing
2018-03 has 216 (7.9%) missing valuesMissing
2018-04 has 216 (7.9%) missing valuesMissing
2018-05 has 216 (7.9%) missing valuesMissing
2018-06 has 216 (7.9%) missing valuesMissing
2018-07 has 207 (7.6%) missing valuesMissing
2018-08 has 216 (7.9%) missing valuesMissing
2018-09 has 216 (7.9%) missing valuesMissing
2018-10 has 216 (7.9%) missing valuesMissing
2018-11 has 216 (7.9%) missing valuesMissing
2018-12 has 216 (7.9%) missing valuesMissing
2019-01 has 216 (7.9%) missing valuesMissing
2019-02 has 216 (7.9%) missing valuesMissing
2019-03 has 216 (7.9%) missing valuesMissing
2019-04 has 216 (7.9%) missing valuesMissing
2019-05 has 216 (7.9%) missing valuesMissing
2019-06 has 216 (7.9%) missing valuesMissing
2019-07 has 216 (7.9%) missing valuesMissing
2019-08 has 216 (7.9%) missing valuesMissing
2019-09 has 216 (7.9%) missing valuesMissing
2019-10 has 216 (7.9%) missing valuesMissing
2019-11 has 216 (7.9%) missing valuesMissing
2019-12 has 216 (7.9%) missing valuesMissing
2020-01 has 216 (7.9%) missing valuesMissing
2020-02 has 216 (7.9%) missing valuesMissing
2020-03 has 216 (7.9%) missing valuesMissing
2020-04 has 216 (7.9%) missing valuesMissing
2020-05 has 216 (7.9%) missing valuesMissing
2020-06 has 216 (7.9%) missing valuesMissing
2020-07 has 216 (7.9%) missing valuesMissing
2020-08 has 216 (7.9%) missing valuesMissing
2020-09 has 216 (7.9%) missing valuesMissing
2020-10 has 216 (7.9%) missing valuesMissing
2020-11 has 216 (7.9%) missing valuesMissing
2020-12 has 216 (7.9%) missing valuesMissing
2021-01 has 216 (7.9%) missing valuesMissing
2021-02 has 216 (7.9%) missing valuesMissing
2021-03 has 216 (7.9%) missing valuesMissing
2021-04 has 216 (7.9%) missing valuesMissing
2021-05 has 216 (7.9%) missing valuesMissing
2021-06 has 207 (7.6%) missing valuesMissing
2021-07 has 207 (7.6%) missing valuesMissing
2021-08 has 207 (7.6%) missing valuesMissing
2021-09 has 207 (7.6%) missing valuesMissing
2021-10 has 207 (7.6%) missing valuesMissing
2021-11 has 207 (7.6%) missing valuesMissing
2021-12 has 207 (7.6%) missing valuesMissing
2022-01 has 207 (7.6%) missing valuesMissing
2022-02 has 207 (7.6%) missing valuesMissing
2022-03 has 207 (7.6%) missing valuesMissing
2022-04 has 207 (7.6%) missing valuesMissing
2022-05 has 207 (7.6%) missing valuesMissing
2022-06 has 207 (7.6%) missing valuesMissing
2022-07 has 207 (7.6%) missing valuesMissing
2022-08 has 207 (7.6%) missing valuesMissing
2022-09 has 207 (7.6%) missing valuesMissing
2022-10 has 207 (7.6%) missing valuesMissing
2022-11 has 207 (7.6%) missing valuesMissing
2022-12 has 207 (7.6%) missing valuesMissing
2023-01 has 207 (7.6%) missing valuesMissing
2023-02 has 207 (7.6%) missing valuesMissing
2023-03 has 207 (7.6%) missing valuesMissing
2023-04 has 207 (7.6%) missing valuesMissing
2023-05 has 207 (7.6%) missing valuesMissing
2023-06 has 207 (7.6%) missing valuesMissing
2023-07 has 207 (7.6%) missing valuesMissing
2023-08 has 207 (7.6%) missing valuesMissing
2023-09 has 207 (7.6%) missing valuesMissing
2023-10 has 207 (7.6%) missing valuesMissing
2023-11 has 207 (7.6%) missing valuesMissing
2023-12 has 207 (7.6%) missing valuesMissing
2024-01 has 180 (6.6%) missing valuesMissing
2006-01 is highly skewed (γ1 = 25.19754387)Skewed
2006-02 is highly skewed (γ1 = 27.34613483)Skewed
2006-03 is highly skewed (γ1 = 26.62216932)Skewed
2006-04 is highly skewed (γ1 = 26.93275537)Skewed
2006-05 is highly skewed (γ1 = 26.98719899)Skewed
2006-06 is highly skewed (γ1 = 27.03568465)Skewed
2006-07 is highly skewed (γ1 = 27.45864562)Skewed
2006-08 is highly skewed (γ1 = 27.00064157)Skewed
2006-09 is highly skewed (γ1 = 27.33882332)Skewed
2006-10 is highly skewed (γ1 = 25.71453808)Skewed
2006-11 is highly skewed (γ1 = 26.5223441)Skewed
2006-12 is highly skewed (γ1 = 26.95802574)Skewed
2007-01 is highly skewed (γ1 = 28.51504476)Skewed
2007-02 is highly skewed (γ1 = 28.75008178)Skewed
2007-03 is highly skewed (γ1 = 28.81980066)Skewed
2007-04 is highly skewed (γ1 = 28.614456)Skewed
2007-05 is highly skewed (γ1 = 28.89609097)Skewed
2007-06 is highly skewed (γ1 = 28.31273717)Skewed
2007-07 is highly skewed (γ1 = 27.7104915)Skewed
2007-08 is highly skewed (γ1 = 28.35961297)Skewed
2007-09 is highly skewed (γ1 = 28.12122859)Skewed
2007-10 is highly skewed (γ1 = 29.13382339)Skewed
2007-11 is highly skewed (γ1 = 28.39797478)Skewed
2007-12 is highly skewed (γ1 = 29.23070348)Skewed
2008-01 is highly skewed (γ1 = 29.05903537)Skewed
2008-02 is highly skewed (γ1 = 28.894836)Skewed
2008-03 is highly skewed (γ1 = 28.57241697)Skewed
2008-04 is highly skewed (γ1 = 28.75950649)Skewed
2008-05 is highly skewed (γ1 = 28.24479028)Skewed
2008-06 is highly skewed (γ1 = 29.00264237)Skewed
2008-07 is highly skewed (γ1 = 28.96337871)Skewed
2008-08 is highly skewed (γ1 = 29.1960231)Skewed
2008-09 is highly skewed (γ1 = 29.56911929)Skewed
2008-10 is highly skewed (γ1 = 29.43521042)Skewed
2008-11 is highly skewed (γ1 = 28.83954371)Skewed
2008-12 is highly skewed (γ1 = 30.68052873)Skewed
2009-01 is highly skewed (γ1 = 28.37223319)Skewed
2009-02 is highly skewed (γ1 = 27.70859654)Skewed
2009-03 is highly skewed (γ1 = 27.12906092)Skewed
2009-04 is highly skewed (γ1 = 28.94017288)Skewed
2009-05 is highly skewed (γ1 = 28.56610044)Skewed
2009-06 is highly skewed (γ1 = 29.0724559)Skewed
2009-07 is highly skewed (γ1 = 27.51738905)Skewed
2009-08 is highly skewed (γ1 = 28.8187753)Skewed
2009-09 is highly skewed (γ1 = 28.81418603)Skewed
2009-10 is highly skewed (γ1 = 28.50182357)Skewed
2009-11 is highly skewed (γ1 = 28.8936828)Skewed
2009-12 is highly skewed (γ1 = 28.8909114)Skewed
2010-01 is highly skewed (γ1 = 28.99383608)Skewed
2010-02 is highly skewed (γ1 = 29.09944328)Skewed
2010-03 is highly skewed (γ1 = 29.66578469)Skewed
2010-04 is highly skewed (γ1 = 29.81990388)Skewed
2010-05 is highly skewed (γ1 = 29.42488415)Skewed
2010-06 is highly skewed (γ1 = 29.19009306)Skewed
2010-07 is highly skewed (γ1 = 29.27560369)Skewed
2010-08 is highly skewed (γ1 = 29.94398408)Skewed
2010-09 is highly skewed (γ1 = 28.89630322)Skewed
2010-10 is highly skewed (γ1 = 28.83707765)Skewed
2010-11 is highly skewed (γ1 = 29.32383179)Skewed
2010-12 is highly skewed (γ1 = 28.69018977)Skewed
2011-01 is highly skewed (γ1 = 29.19014426)Skewed
2011-02 is highly skewed (γ1 = 29.87771811)Skewed
2011-03 is highly skewed (γ1 = 28.67163058)Skewed
2011-04 is highly skewed (γ1 = 29.89305732)Skewed
2011-05 is highly skewed (γ1 = 28.72130043)Skewed
2011-06 is highly skewed (γ1 = 28.19169516)Skewed
2011-07 is highly skewed (γ1 = 28.34668539)Skewed
2011-08 is highly skewed (γ1 = 27.7931965)Skewed
2011-09 is highly skewed (γ1 = 27.98214129)Skewed
2011-10 is highly skewed (γ1 = 28.07183861)Skewed
2011-11 is highly skewed (γ1 = 28.08274116)Skewed
2011-12 is highly skewed (γ1 = 30.12181035)Skewed
2012-01 is highly skewed (γ1 = 28.37665765)Skewed
2012-02 is highly skewed (γ1 = 28.33874252)Skewed
2012-03 is highly skewed (γ1 = 28.34778657)Skewed
2012-04 is highly skewed (γ1 = 28.72193585)Skewed
2012-05 is highly skewed (γ1 = 28.26702114)Skewed
2012-06 is highly skewed (γ1 = 21.62739667)Skewed
2012-07 is highly skewed (γ1 = 28.06796122)Skewed
2012-08 is highly skewed (γ1 = 27.34685941)Skewed
2012-09 is highly skewed (γ1 = 27.60999479)Skewed
2012-10 is highly skewed (γ1 = 28.41765011)Skewed
2012-11 is highly skewed (γ1 = 28.74850825)Skewed
2012-12 is highly skewed (γ1 = 28.39918426)Skewed
2013-01 is highly skewed (γ1 = 27.33885827)Skewed
2013-02 is highly skewed (γ1 = 29.77287672)Skewed
2013-03 is highly skewed (γ1 = 29.16092611)Skewed
2013-04 is highly skewed (γ1 = 29.24661378)Skewed
2013-05 is highly skewed (γ1 = 29.11074827)Skewed
2013-06 is highly skewed (γ1 = 28.75506361)Skewed
2013-07 is highly skewed (γ1 = 29.04392185)Skewed
2013-08 is highly skewed (γ1 = 29.41153632)Skewed
2013-09 is highly skewed (γ1 = 28.52373954)Skewed
2013-10 is highly skewed (γ1 = 28.75196283)Skewed
2013-11 is highly skewed (γ1 = 29.03907887)Skewed
2013-12 is highly skewed (γ1 = 28.71758874)Skewed
2014-01 is highly skewed (γ1 = 27.53605551)Skewed
2014-02 is highly skewed (γ1 = 28.11557211)Skewed
2014-03 is highly skewed (γ1 = 28.23510178)Skewed
2014-04 is highly skewed (γ1 = 28.62204291)Skewed
2014-05 is highly skewed (γ1 = 28.55182901)Skewed
2014-06 is highly skewed (γ1 = 28.31530378)Skewed
2014-07 is highly skewed (γ1 = 29.22808212)Skewed
2014-08 is highly skewed (γ1 = 28.37915339)Skewed
2014-09 is highly skewed (γ1 = 27.92411605)Skewed
2014-10 is highly skewed (γ1 = 22.60401734)Skewed
2014-11 is highly skewed (γ1 = 28.84239645)Skewed
2014-12 is highly skewed (γ1 = 28.75578695)Skewed
2015-01 is highly skewed (γ1 = 29.01987342)Skewed
2015-02 is highly skewed (γ1 = 29.35095091)Skewed
2015-03 is highly skewed (γ1 = 28.85646878)Skewed
2015-04 is highly skewed (γ1 = 28.81970297)Skewed
2015-05 is highly skewed (γ1 = 28.5501011)Skewed
2015-06 is highly skewed (γ1 = 28.36700856)Skewed
2015-07 is highly skewed (γ1 = 27.93745743)Skewed
2015-08 is highly skewed (γ1 = 27.86011711)Skewed
2015-09 is highly skewed (γ1 = 28.1491507)Skewed
2015-10 is highly skewed (γ1 = 28.50402135)Skewed
2015-11 is highly skewed (γ1 = 29.08103583)Skewed
2015-12 is highly skewed (γ1 = 28.73678603)Skewed
2016-01 is highly skewed (γ1 = 28.45865279)Skewed
2016-02 is highly skewed (γ1 = 29.40147995)Skewed
2016-03 is highly skewed (γ1 = 28.67339212)Skewed
2016-04 is highly skewed (γ1 = 29.00210033)Skewed
2016-05 is highly skewed (γ1 = 28.49886094)Skewed
2016-06 is highly skewed (γ1 = 27.98739355)Skewed
2016-07 is highly skewed (γ1 = 27.34111585)Skewed
2016-08 is highly skewed (γ1 = 28.16913768)Skewed
2016-09 is highly skewed (γ1 = 28.00712807)Skewed
2016-10 is highly skewed (γ1 = 28.48356171)Skewed
2016-11 is highly skewed (γ1 = 28.98475689)Skewed
2016-12 is highly skewed (γ1 = 26.58887347)Skewed
2017-01 is highly skewed (γ1 = 30.23030135)Skewed
2017-02 is highly skewed (γ1 = 29.67755327)Skewed
2017-03 is highly skewed (γ1 = 28.86356546)Skewed
2017-04 is highly skewed (γ1 = 28.77352993)Skewed
2017-05 is highly skewed (γ1 = 28.51738988)Skewed
2017-06 is highly skewed (γ1 = 28.32861775)Skewed
2017-07 is highly skewed (γ1 = 28.07823598)Skewed
2017-08 is highly skewed (γ1 = 28.4787655)Skewed
2017-09 is highly skewed (γ1 = 29.17001266)Skewed
2017-10 is highly skewed (γ1 = 29.81779722)Skewed
2017-11 is highly skewed (γ1 = 29.73810059)Skewed
2017-12 is highly skewed (γ1 = 30.02101824)Skewed
2018-01 is highly skewed (γ1 = 29.41946763)Skewed
2018-02 is highly skewed (γ1 = 28.22978135)Skewed
2018-03 is highly skewed (γ1 = 27.99263984)Skewed
2018-04 is highly skewed (γ1 = 29.5956901)Skewed
2018-05 is highly skewed (γ1 = 29.2461478)Skewed
2018-06 is highly skewed (γ1 = 29.0210219)Skewed
2018-07 is highly skewed (γ1 = 29.26930127)Skewed
2018-08 is highly skewed (γ1 = 29.19252668)Skewed
2018-09 is highly skewed (γ1 = 27.58258345)Skewed
2018-10 is highly skewed (γ1 = 28.52762083)Skewed
2018-11 is highly skewed (γ1 = 30.48162784)Skewed
2018-12 is highly skewed (γ1 = 30.68471013)Skewed
2019-01 is highly skewed (γ1 = 31.05794768)Skewed
2019-02 is highly skewed (γ1 = 31.39435077)Skewed
2019-03 is highly skewed (γ1 = 31.11071282)Skewed
2019-04 is highly skewed (γ1 = 31.51317727)Skewed
2019-05 is highly skewed (γ1 = 30.95495018)Skewed
2019-06 is highly skewed (γ1 = 30.81837022)Skewed
2019-07 is highly skewed (γ1 = 30.88496835)Skewed
2019-08 is highly skewed (γ1 = 31.11300719)Skewed
2019-09 is highly skewed (γ1 = 31.55670934)Skewed
2019-10 is highly skewed (γ1 = 31.20241666)Skewed
2019-11 is highly skewed (γ1 = 30.73037247)Skewed
2019-12 is highly skewed (γ1 = 31.17674964)Skewed
2020-01 is highly skewed (γ1 = 30.53118281)Skewed
2020-02 is highly skewed (γ1 = 29.92601513)Skewed
2020-03 is highly skewed (γ1 = 29.49622519)Skewed
2020-04 is highly skewed (γ1 = 31.12098957)Skewed
2020-05 is highly skewed (γ1 = 30.56097436)Skewed
2020-06 is highly skewed (γ1 = 30.2411632)Skewed
2020-07 is highly skewed (γ1 = 30.22500327)Skewed
2020-08 is highly skewed (γ1 = 31.07025494)Skewed
2020-09 is highly skewed (γ1 = 31.31386228)Skewed
2020-10 is highly skewed (γ1 = 31.33596832)Skewed
2020-11 is highly skewed (γ1 = 31.8510739)Skewed
2020-12 is highly skewed (γ1 = 31.43215291)Skewed
2021-01 is highly skewed (γ1 = 30.12062637)Skewed
2021-02 is highly skewed (γ1 = 29.76682987)Skewed
2021-03 is highly skewed (γ1 = 30.23576673)Skewed
2021-04 is highly skewed (γ1 = 30.14012455)Skewed
2021-05 is highly skewed (γ1 = 30.32431649)Skewed
2021-06 is highly skewed (γ1 = 30.6594482)Skewed
2021-07 is highly skewed (γ1 = 30.67321572)Skewed
2021-08 is highly skewed (γ1 = 31.04821075)Skewed
2021-09 is highly skewed (γ1 = 30.71534456)Skewed
2021-10 is highly skewed (γ1 = 30.78153252)Skewed
2021-11 is highly skewed (γ1 = 31.97572079)Skewed
2021-12 is highly skewed (γ1 = 31.53649859)Skewed
2022-01 is highly skewed (γ1 = 30.77098325)Skewed
2022-02 is highly skewed (γ1 = 31.06298054)Skewed
2022-03 is highly skewed (γ1 = 30.59552172)Skewed
2022-04 is highly skewed (γ1 = 30.14940048)Skewed
2022-05 is highly skewed (γ1 = 30.43144192)Skewed
2022-06 is highly skewed (γ1 = 30.75741966)Skewed
2022-07 is highly skewed (γ1 = 30.34564959)Skewed
2022-08 is highly skewed (γ1 = 31.04995369)Skewed
2022-09 is highly skewed (γ1 = 31.97457436)Skewed
2022-10 is highly skewed (γ1 = 32.36421855)Skewed
2022-11 is highly skewed (γ1 = 32.83349869)Skewed
2022-12 is highly skewed (γ1 = 34.01800295)Skewed
2023-01 is highly skewed (γ1 = 33.41510304)Skewed
2023-02 is highly skewed (γ1 = 33.61229956)Skewed
2023-03 is highly skewed (γ1 = 33.76874493)Skewed
2023-04 is highly skewed (γ1 = 33.40246467)Skewed
2023-05 is highly skewed (γ1 = 32.21678901)Skewed
2023-06 is highly skewed (γ1 = 32.64934187)Skewed
2023-07 is highly skewed (γ1 = 33.05973102)Skewed
2023-08 is highly skewed (γ1 = 32.8051815)Skewed
2023-09 is highly skewed (γ1 = 33.15508616)Skewed
2023-10 is highly skewed (γ1 = 33.37701828)Skewed
2023-11 is highly skewed (γ1 = 32.73490098)Skewed
2023-12 is highly skewed (γ1 = 33.31423994)Skewed
2024-01 is highly skewed (γ1 = 33.31416615)Skewed
아파트매매 거래규모별 has unique valuesUnique
2006-01 has 1828 (67.3%) zerosZeros
2006-02 has 1621 (59.6%) zerosZeros
2006-03 has 1486 (54.7%) zerosZeros
2006-04 has 1536 (56.5%) zerosZeros
2006-05 has 1549 (57.0%) zerosZeros
2006-06 has 1580 (58.1%) zerosZeros
2006-07 has 1628 (59.9%) zerosZeros
2006-08 has 1641 (60.4%) zerosZeros
2006-09 has 1522 (56.0%) zerosZeros
2006-10 has 1514 (55.7%) zerosZeros
2006-11 has 1425 (52.4%) zerosZeros
2006-12 has 1435 (52.8%) zerosZeros
2007-01 has 1579 (58.1%) zerosZeros
2007-02 has 1620 (59.6%) zerosZeros
2007-03 has 1603 (59.0%) zerosZeros
2007-04 has 1607 (59.1%) zerosZeros
2007-05 has 1634 (60.1%) zerosZeros
2007-06 has 1669 (61.4%) zerosZeros
2007-07 has 1575 (57.9%) zerosZeros
2007-08 has 1593 (58.6%) zerosZeros
2007-09 has 1667 (61.3%) zerosZeros
2007-10 has 1560 (57.4%) zerosZeros
2007-11 has 1547 (56.9%) zerosZeros
2007-12 has 1595 (58.7%) zerosZeros
2008-01 has 1582 (58.2%) zerosZeros
2008-02 has 1600 (58.9%) zerosZeros
2008-03 has 1518 (55.8%) zerosZeros
2008-04 has 1484 (54.6%) zerosZeros
2008-05 has 1520 (55.9%) zerosZeros
2008-06 has 1535 (56.5%) zerosZeros
2008-07 has 1548 (57.0%) zerosZeros
2008-08 has 1621 (59.6%) zerosZeros
2008-09 has 1642 (60.4%) zerosZeros
2008-10 has 1637 (60.2%) zerosZeros
2008-11 has 1718 (63.2%) zerosZeros
2008-12 has 1727 (63.5%) zerosZeros
2009-01 has 1749 (64.3%) zerosZeros
2009-02 has 1605 (59.1%) zerosZeros
2009-03 has 1542 (56.7%) zerosZeros
2009-04 has 1512 (55.6%) zerosZeros
2009-05 has 1526 (56.1%) zerosZeros
2009-06 has 1488 (54.7%) zerosZeros
2009-07 has 1460 (53.7%) zerosZeros
2009-08 has 1505 (55.4%) zerosZeros
2009-09 has 1487 (54.7%) zerosZeros
2009-10 has 1485 (54.6%) zerosZeros
2009-11 has 1503 (55.3%) zerosZeros
2009-12 has 1491 (54.9%) zerosZeros
2010-01 has 1581 (58.2%) zerosZeros
2010-02 has 1519 (55.9%) zerosZeros
2010-03 has 1481 (54.5%) zerosZeros
2010-04 has 1507 (55.4%) zerosZeros
2010-05 has 1556 (57.2%) zerosZeros
2010-06 has 1570 (57.8%) zerosZeros
2010-07 has 1599 (58.8%) zerosZeros
2010-08 has 1615 (59.4%) zerosZeros
2010-09 has 1638 (60.3%) zerosZeros
2010-10 has 1539 (56.6%) zerosZeros
2010-11 has 1508 (55.5%) zerosZeros
2010-12 has 1443 (53.1%) zerosZeros
2011-01 has 1547 (56.9%) zerosZeros
2011-02 has 1493 (54.9%) zerosZeros
2011-03 has 1441 (53.0%) zerosZeros
2011-04 has 1461 (53.8%) zerosZeros
2011-05 has 1480 (54.5%) zerosZeros
2011-06 has 1490 (54.8%) zerosZeros
2011-07 has 1501 (55.2%) zerosZeros
2011-08 has 1526 (56.1%) zerosZeros
2011-09 has 1517 (55.8%) zerosZeros
2011-10 has 1501 (55.2%) zerosZeros
2011-11 has 1498 (55.1%) zerosZeros
2011-12 has 1385 (51.0%) zerosZeros
2012-01 has 1797 (66.1%) zerosZeros
2012-02 has 1558 (57.3%) zerosZeros
2012-03 has 1515 (55.7%) zerosZeros
2012-04 has 1537 (56.5%) zerosZeros
2012-05 has 1549 (57.0%) zerosZeros
2012-06 has 1579 (58.1%) zerosZeros
2012-07 has 1600 (58.9%) zerosZeros
2012-08 has 1637 (60.2%) zerosZeros
2012-09 has 1673 (61.6%) zerosZeros
2012-10 has 1536 (56.5%) zerosZeros
2012-11 has 1518 (55.8%) zerosZeros
2012-12 has 1398 (51.4%) zerosZeros
2013-01 has 1830 (67.3%) zerosZeros
2013-02 has 1626 (59.8%) zerosZeros
2013-03 has 1538 (56.6%) zerosZeros
2013-04 has 1504 (55.3%) zerosZeros
2013-05 has 1464 (53.9%) zerosZeros
2013-06 has 1370 (50.4%) zerosZeros
2013-07 has 1725 (63.5%) zerosZeros
2013-08 has 1674 (61.6%) zerosZeros
2013-09 has 1599 (58.8%) zerosZeros
2013-10 has 1477 (54.3%) zerosZeros
2013-11 has 1491 (54.9%) zerosZeros
2013-12 has 1456 (53.6%) zerosZeros
2014-01 has 1500 (55.2%) zerosZeros
2014-02 has 1444 (53.1%) zerosZeros
2014-03 has 1433 (52.7%) zerosZeros
2014-04 has 1428 (52.5%) zerosZeros
2014-05 has 1472 (54.2%) zerosZeros
2014-06 has 1515 (55.7%) zerosZeros
2014-07 has 1489 (54.8%) zerosZeros
2014-08 has 1505 (55.4%) zerosZeros
2014-09 has 1471 (54.1%) zerosZeros
2014-10 has 1392 (51.2%) zerosZeros
2014-11 has 1445 (53.2%) zerosZeros
2014-12 has 1453 (53.5%) zerosZeros
2015-01 has 1495 (55.0%) zerosZeros
2015-02 has 1482 (54.5%) zerosZeros
2015-03 has 1396 (51.4%) zerosZeros
2015-04 has 1369 (50.4%) zerosZeros
2015-05 has 1411 (51.9%) zerosZeros
2015-06 has 1422 (52.3%) zerosZeros
2015-07 has 1424 (52.4%) zerosZeros
2015-08 has 1487 (54.7%) zerosZeros
2015-09 has 1520 (55.9%) zerosZeros
2015-10 has 1433 (52.7%) zerosZeros
2015-11 has 1456 (53.6%) zerosZeros
2015-12 has 1484 (54.6%) zerosZeros
2016-01 has 1558 (57.3%) zerosZeros
2016-02 has 1591 (58.5%) zerosZeros
2016-03 has 1510 (55.6%) zerosZeros
2016-04 has 1497 (55.1%) zerosZeros
2016-05 has 1524 (56.1%) zerosZeros
2016-06 has 1497 (55.1%) zerosZeros
2016-07 has 1503 (55.3%) zerosZeros
2016-08 has 1486 (54.7%) zerosZeros
2016-09 has 1491 (54.9%) zerosZeros
2016-10 has 1442 (53.1%) zerosZeros
2016-11 has 1449 (53.3%) zerosZeros
2016-12 has 1505 (55.4%) zerosZeros
2017-01 has 1623 (59.7%) zerosZeros
2017-02 has 1545 (56.8%) zerosZeros
2017-03 has 1517 (55.8%) zerosZeros
2017-04 has 1532 (56.4%) zerosZeros
2017-05 has 1542 (56.7%) zerosZeros
2017-06 has 1499 (55.2%) zerosZeros
2017-07 has 1494 (55.0%) zerosZeros
2017-08 has 1491 (54.9%) zerosZeros
2017-09 has 1509 (55.5%) zerosZeros
2017-10 has 1567 (57.7%) zerosZeros
2017-11 has 1520 (55.9%) zerosZeros
2017-12 has 1549 (57.0%) zerosZeros
2018-01 has 1540 (56.7%) zerosZeros
2018-02 has 1544 (56.8%) zerosZeros
2018-03 has 1476 (54.3%) zerosZeros
2018-04 has 1554 (57.2%) zerosZeros
2018-05 has 1558 (57.3%) zerosZeros
2018-06 has 1584 (58.3%) zerosZeros
2018-07 has 1606 (59.1%) zerosZeros
2018-08 has 1589 (58.5%) zerosZeros
2018-09 has 1577 (58.0%) zerosZeros
2018-10 has 1490 (54.8%) zerosZeros
2018-11 has 1587 (58.4%) zerosZeros
2018-12 has 1652 (60.8%) zerosZeros
2019-01 has 1653 (60.8%) zerosZeros
2019-02 has 1703 (62.7%) zerosZeros
2019-03 has 1642 (60.4%) zerosZeros
2019-04 has 1624 (59.7%) zerosZeros
2019-05 has 1603 (59.0%) zerosZeros
2019-06 has 1629 (59.9%) zerosZeros
2019-07 has 1582 (58.2%) zerosZeros
2019-08 has 1580 (58.1%) zerosZeros
2019-09 has 1566 (57.6%) zerosZeros
2019-10 has 1490 (54.8%) zerosZeros
2019-11 has 1478 (54.4%) zerosZeros
2019-12 has 1417 (52.1%) zerosZeros
2020-01 has 1446 (53.2%) zerosZeros
2020-02 has 1421 (52.3%) zerosZeros
2020-03 has 1464 (53.9%) zerosZeros
2020-04 has 1551 (57.1%) zerosZeros
2020-05 has 1488 (54.7%) zerosZeros
2020-06 has 1372 (50.5%) zerosZeros
2020-07 has 1351 (49.7%) zerosZeros
2020-08 has 1490 (54.8%) zerosZeros
2020-09 has 1496 (55.0%) zerosZeros
2020-10 has 1480 (54.5%) zerosZeros
2020-11 has 1411 (51.9%) zerosZeros
2020-12 has 1340 (49.3%) zerosZeros
2021-01 has 1481 (54.5%) zerosZeros
2021-02 has 1474 (54.2%) zerosZeros
2021-03 has 1464 (53.9%) zerosZeros
2021-04 has 1499 (55.2%) zerosZeros
2021-05 has 1475 (54.3%) zerosZeros
2021-06 has 1540 (56.7%) zerosZeros
2021-07 has 1539 (56.6%) zerosZeros
2021-08 has 1535 (56.5%) zerosZeros
2021-09 has 1565 (57.6%) zerosZeros
2021-10 has 1591 (58.5%) zerosZeros
2021-11 has 1638 (60.3%) zerosZeros
2021-12 has 1724 (63.4%) zerosZeros
2022-01 has 1800 (66.2%) zerosZeros
2022-02 has 1777 (65.4%) zerosZeros
2022-03 has 1710 (62.9%) zerosZeros
2022-04 has 1674 (61.6%) zerosZeros
2022-05 has 1629 (59.9%) zerosZeros
2022-06 has 1730 (63.6%) zerosZeros
2022-07 has 1815 (66.8%) zerosZeros
2022-08 has 1883 (69.3%) zerosZeros
2022-09 has 1878 (69.1%) zerosZeros
2022-10 has 1885 (69.4%) zerosZeros
2022-11 has 1889 (69.5%) zerosZeros
2022-12 has 1892 (69.6%) zerosZeros
2023-01 has 1889 (69.5%) zerosZeros
2023-02 has 1741 (64.1%) zerosZeros
2023-03 has 1667 (61.3%) zerosZeros
2023-04 has 1673 (61.6%) zerosZeros
2023-05 has 1647 (60.6%) zerosZeros
2023-06 has 1658 (61.0%) zerosZeros
2023-07 has 1667 (61.3%) zerosZeros
2023-08 has 1632 (60.0%) zerosZeros
2023-09 has 1640 (60.3%) zerosZeros
2023-10 has 1669 (61.4%) zerosZeros
2023-11 has 1690 (62.2%) zerosZeros
2023-12 has 1742 (64.1%) zerosZeros
2024-01 has 1713 (63.0%) zerosZeros

Reproduction

Analysis started2024-03-23 05:43:00.243150
Analysis finished2024-03-23 05:43:05.848702
Duration5.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2718
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2024-03-23T14:43:06.092052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length14.034216
Min length9

Characters and Unicode

Total characters38145
Distinct characters159
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2718 ?
Unique (%)100.0%

Sample

1st row전국 /20㎡이하
2nd row전국 /21~40㎡
3rd row전국 /41~60㎡
4th row전국 /61~85㎡
5th row전국 /86~100㎡
ValueCountFrequency (%)
경기 504
 
9.3%
경남 243
 
4.5%
서울 234
 
4.3%
경북 234
 
4.3%
전남 207
 
3.8%
충북 180
 
3.3%
충남 180
 
3.3%
강원 171
 
3.1%
부산 153
 
2.8%
전북 153
 
2.8%
Other values (2349) 3177
58.4%
2024-03-23T14:43:06.731415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3624
 
9.5%
2718
 
7.1%
/ 2718
 
7.1%
2718
 
7.1%
6 2114
 
5.5%
~ 2114
 
5.5%
0 1812
 
4.8%
1296
 
3.4%
8 1208
 
3.2%
1125
 
2.9%
Other values (149) 16698
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15455
40.5%
Decimal Number 12080
31.7%
Space Separator 2718
 
7.1%
Other Punctuation 2718
 
7.1%
Other Symbol 2718
 
7.1%
Math Symbol 2114
 
5.5%
Close Punctuation 171
 
0.4%
Open Punctuation 171
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1296
 
8.4%
1125
 
7.3%
1008
 
6.5%
837
 
5.4%
801
 
5.2%
648
 
4.2%
531
 
3.4%
450
 
2.9%
432
 
2.8%
423
 
2.7%
Other values (134) 7904
51.1%
Decimal Number
ValueCountFrequency (%)
1 3624
30.0%
6 2114
17.5%
0 1812
15.0%
8 1208
 
10.0%
5 906
 
7.5%
3 604
 
5.0%
9 604
 
5.0%
2 604
 
5.0%
4 604
 
5.0%
Space Separator
ValueCountFrequency (%)
2718
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2718
100.0%
Other Symbol
ValueCountFrequency (%)
2718
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22690
59.5%
Hangul 15455
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1296
 
8.4%
1125
 
7.3%
1008
 
6.5%
837
 
5.4%
801
 
5.2%
648
 
4.2%
531
 
3.4%
450
 
2.9%
432
 
2.8%
423
 
2.7%
Other values (134) 7904
51.1%
Common
ValueCountFrequency (%)
1 3624
16.0%
2718
12.0%
/ 2718
12.0%
2718
12.0%
6 2114
9.3%
~ 2114
9.3%
0 1812
8.0%
8 1208
 
5.3%
5 906
 
4.0%
3 604
 
2.7%
Other values (5) 2154
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19972
52.4%
Hangul 15455
40.5%
CJK Compat 2718
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3624
18.1%
2718
13.6%
/ 2718
13.6%
6 2114
10.6%
~ 2114
10.6%
0 1812
9.1%
8 1208
 
6.0%
5 906
 
4.5%
3 604
 
3.0%
9 604
 
3.0%
Other values (4) 1550
7.8%
CJK Compat
ValueCountFrequency (%)
2718
100.0%
Hangul
ValueCountFrequency (%)
1296
 
8.4%
1125
 
7.3%
1008
 
6.5%
837
 
5.4%
801
 
5.2%
648
 
4.2%
531
 
3.4%
450
 
2.9%
432
 
2.8%
423
 
2.7%
Other values (134) 7904
51.1%

2006-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct35
Distinct (%)1.5%
Missing396
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean1.2687339
Minimum0
Maximum406
Zeros1828
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:06.988233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum406
Range406
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.661208
Coefficient of variation (CV)9.1912165
Kurtosis756.72847
Mean1.2687339
Median Absolute Deviation (MAD)0
Skewness25.197544
Sum2946
Variance135.98376
MonotonicityNot monotonic
2024-03-23T14:43:07.542142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1828
67.3%
1 233
 
8.6%
2 103
 
3.8%
3 39
 
1.4%
4 21
 
0.8%
6 13
 
0.5%
5 11
 
0.4%
10 9
 
0.3%
9 7
 
0.3%
8 7
 
0.3%
Other values (25) 51
 
1.9%
(Missing) 396
 
14.6%
ValueCountFrequency (%)
0 1828
67.3%
1 233
 
8.6%
2 103
 
3.8%
3 39
 
1.4%
4 21
 
0.8%
5 11
 
0.4%
6 13
 
0.5%
7 7
 
0.3%
8 7
 
0.3%
9 7
 
0.3%
ValueCountFrequency (%)
406 1
< 0.1%
258 1
< 0.1%
169 1
< 0.1%
147 1
< 0.1%
82 1
< 0.1%
73 1
< 0.1%
69 1
< 0.1%
45 1
< 0.1%
39 2
0.1%
36 1
< 0.1%

2006-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.7%
Missing306
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean3.814262
Minimum0
Maximum1244
Zeros1621
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:07.836532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1244
Range1244
Interquartile range (IQR)1

Descriptive statistics

Standard deviation36.274775
Coefficient of variation (CV)9.5102997
Kurtosis847.24887
Mean3.814262
Median Absolute Deviation (MAD)0
Skewness27.346135
Sum9200
Variance1315.8593
MonotonicityNot monotonic
2024-03-23T14:43:08.069400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1621
59.6%
1 263
 
9.7%
2 120
 
4.4%
4 51
 
1.9%
3 51
 
1.9%
5 45
 
1.7%
6 39
 
1.4%
9 27
 
1.0%
7 25
 
0.9%
8 18
 
0.7%
Other values (55) 152
 
5.6%
(Missing) 306
 
11.3%
ValueCountFrequency (%)
0 1621
59.6%
1 263
 
9.7%
2 120
 
4.4%
3 51
 
1.9%
4 51
 
1.9%
5 45
 
1.7%
6 39
 
1.4%
7 25
 
0.9%
8 18
 
0.7%
9 27
 
1.0%
ValueCountFrequency (%)
1244 1
< 0.1%
1035 1
< 0.1%
373 1
< 0.1%
354 1
< 0.1%
281 1
< 0.1%
251 1
< 0.1%
154 1
< 0.1%
121 1
< 0.1%
87 1
< 0.1%
86 1
< 0.1%

2006-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct82
Distinct (%)3.4%
Missing297
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean6.2870715
Minimum0
Maximum2028
Zeros1486
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:08.323973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile21
Maximum2028
Range2028
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.284652
Coefficient of variation (CV)9.2705566
Kurtosis815.98317
Mean6.2870715
Median Absolute Deviation (MAD)0
Skewness26.622169
Sum15221
Variance3397.1006
MonotonicityNot monotonic
2024-03-23T14:43:08.570803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1486
54.7%
1 293
 
10.8%
2 121
 
4.5%
3 67
 
2.5%
5 49
 
1.8%
4 38
 
1.4%
8 36
 
1.3%
7 33
 
1.2%
9 26
 
1.0%
6 24
 
0.9%
Other values (72) 248
 
9.1%
(Missing) 297
 
10.9%
ValueCountFrequency (%)
0 1486
54.7%
1 293
 
10.8%
2 121
 
4.5%
3 67
 
2.5%
4 38
 
1.4%
5 49
 
1.8%
6 24
 
0.9%
7 33
 
1.2%
8 36
 
1.3%
9 26
 
1.0%
ValueCountFrequency (%)
2028 1
< 0.1%
1545 1
< 0.1%
696 1
< 0.1%
676 1
< 0.1%
445 1
< 0.1%
414 1
< 0.1%
277 1
< 0.1%
238 1
< 0.1%
199 1
< 0.1%
155 1
< 0.1%

2006-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)3.0%
Missing279
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean5.7531775
Minimum0
Maximum1900
Zeros1536
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:08.833656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum1900
Range1900
Interquartile range (IQR)2

Descriptive statistics

Standard deviation53.795146
Coefficient of variation (CV)9.3505103
Kurtosis837.67772
Mean5.7531775
Median Absolute Deviation (MAD)0
Skewness26.932755
Sum14032
Variance2893.9177
MonotonicityNot monotonic
2024-03-23T14:43:09.162491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1536
56.5%
1 273
 
10.0%
2 115
 
4.2%
3 72
 
2.6%
4 45
 
1.7%
5 44
 
1.6%
8 43
 
1.6%
10 27
 
1.0%
6 27
 
1.0%
7 23
 
0.8%
Other values (64) 234
 
8.6%
(Missing) 279
 
10.3%
ValueCountFrequency (%)
0 1536
56.5%
1 273
 
10.0%
2 115
 
4.2%
3 72
 
2.6%
4 45
 
1.7%
5 44
 
1.6%
6 27
 
1.0%
7 23
 
0.8%
8 43
 
1.6%
9 22
 
0.8%
ValueCountFrequency (%)
1900 1
< 0.1%
1411 1
< 0.1%
651 1
< 0.1%
587 1
< 0.1%
410 1
< 0.1%
402 1
< 0.1%
265 1
< 0.1%
229 1
< 0.1%
171 1
< 0.1%
141 1
< 0.1%

2006-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)3.0%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean5.563317
Minimum0
Maximum1887
Zeros1549
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:09.399603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum1887
Range1887
Interquartile range (IQR)2

Descriptive statistics

Standard deviation52.609208
Coefficient of variation (CV)9.4564462
Kurtosis847.54293
Mean5.563317
Median Absolute Deviation (MAD)0
Skewness26.987199
Sum13619
Variance2767.7287
MonotonicityNot monotonic
2024-03-23T14:43:09.670097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1549
57.0%
1 265
 
9.7%
2 125
 
4.6%
3 79
 
2.9%
4 48
 
1.8%
8 37
 
1.4%
5 35
 
1.3%
7 31
 
1.1%
6 25
 
0.9%
10 23
 
0.8%
Other values (63) 231
 
8.5%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 1549
57.0%
1 265
 
9.7%
2 125
 
4.6%
3 79
 
2.9%
4 48
 
1.8%
5 35
 
1.3%
6 25
 
0.9%
7 31
 
1.1%
8 37
 
1.4%
9 15
 
0.6%
ValueCountFrequency (%)
1887 1
< 0.1%
1323 1
< 0.1%
629 1
< 0.1%
623 1
< 0.1%
421 1
< 0.1%
411 1
< 0.1%
255 1
< 0.1%
229 1
< 0.1%
159 1
< 0.1%
141 1
< 0.1%

2006-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.7%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean4.6993464
Minimum0
Maximum1573
Zeros1580
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:10.010010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile14
Maximum1573
Range1573
Interquartile range (IQR)1

Descriptive statistics

Standard deviation45.210685
Coefficient of variation (CV)9.6206325
Kurtosis834.49308
Mean4.6993464
Median Absolute Deviation (MAD)0
Skewness27.035685
Sum11504
Variance2044.006
MonotonicityNot monotonic
2024-03-23T14:43:10.352737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1580
58.1%
1 300
 
11.0%
2 115
 
4.2%
3 55
 
2.0%
4 55
 
2.0%
5 39
 
1.4%
6 37
 
1.4%
9 25
 
0.9%
7 25
 
0.9%
8 22
 
0.8%
Other values (55) 195
 
7.2%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 1580
58.1%
1 300
 
11.0%
2 115
 
4.2%
3 55
 
2.0%
4 55
 
2.0%
5 39
 
1.4%
6 37
 
1.4%
7 25
 
0.9%
8 22
 
0.8%
9 25
 
0.9%
ValueCountFrequency (%)
1573 1
< 0.1%
1239 1
< 0.1%
551 1
< 0.1%
484 1
< 0.1%
373 1
< 0.1%
296 1
< 0.1%
206 1
< 0.1%
166 1
< 0.1%
115 1
< 0.1%
113 1
< 0.1%

2006-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.5%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.6452675
Minimum0
Maximum1228
Zeros1628
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:10.614172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1228
Range1228
Interquartile range (IQR)1

Descriptive statistics

Standard deviation34.99409
Coefficient of variation (CV)9.5998689
Kurtosis858.8575
Mean3.6452675
Median Absolute Deviation (MAD)0
Skewness27.458646
Sum8858
Variance1224.5863
MonotonicityNot monotonic
2024-03-23T14:43:10.876220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1628
59.9%
1 287
 
10.6%
2 105
 
3.9%
3 65
 
2.4%
4 51
 
1.9%
5 44
 
1.6%
6 30
 
1.1%
7 29
 
1.1%
9 23
 
0.8%
10 19
 
0.7%
Other values (51) 149
 
5.5%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1628
59.9%
1 287
 
10.6%
2 105
 
3.9%
3 65
 
2.4%
4 51
 
1.9%
5 44
 
1.6%
6 30
 
1.1%
7 29
 
1.1%
8 16
 
0.6%
9 23
 
0.8%
ValueCountFrequency (%)
1228 1
< 0.1%
960 1
< 0.1%
388 1
< 0.1%
355 1
< 0.1%
301 1
< 0.1%
221 1
< 0.1%
137 1
< 0.1%
130 1
< 0.1%
101 1
< 0.1%
77 1
< 0.1%

2006-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.7255144
Minimum0
Maximum1223
Zeros1641
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:11.185403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11.55
Maximum1223
Range1223
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.963833
Coefficient of variation (CV)9.6533871
Kurtosis825.26126
Mean3.7255144
Median Absolute Deviation (MAD)0
Skewness27.000642
Sum9053
Variance1293.3972
MonotonicityNot monotonic
2024-03-23T14:43:11.576139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1641
60.4%
1 262
 
9.6%
2 112
 
4.1%
3 69
 
2.5%
4 50
 
1.8%
5 37
 
1.4%
6 33
 
1.2%
7 28
 
1.0%
8 27
 
1.0%
9 21
 
0.8%
Other values (55) 150
 
5.5%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1641
60.4%
1 262
 
9.6%
2 112
 
4.1%
3 69
 
2.5%
4 50
 
1.8%
5 37
 
1.4%
6 33
 
1.2%
7 28
 
1.0%
8 27
 
1.0%
9 21
 
0.8%
ValueCountFrequency (%)
1223 1
< 0.1%
1025 1
< 0.1%
421 1
< 0.1%
344 1
< 0.1%
330 1
< 0.1%
243 1
< 0.1%
153 1
< 0.1%
123 1
< 0.1%
100 1
< 0.1%
89 1
< 0.1%

2006-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct85
Distinct (%)3.5%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean6.6197531
Minimum0
Maximum2312
Zeros1522
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:11.823943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum2312
Range2312
Interquartile range (IQR)2

Descriptive statistics

Standard deviation64.785451
Coefficient of variation (CV)9.7866869
Kurtosis858.5145
Mean6.6197531
Median Absolute Deviation (MAD)0
Skewness27.338823
Sum16086
Variance4197.1547
MonotonicityNot monotonic
2024-03-23T14:43:12.105742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1522
56.0%
1 253
 
9.3%
2 129
 
4.7%
4 67
 
2.5%
3 61
 
2.2%
5 34
 
1.3%
7 28
 
1.0%
6 25
 
0.9%
10 23
 
0.8%
9 22
 
0.8%
Other values (75) 266
 
9.8%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1522
56.0%
1 253
 
9.3%
2 129
 
4.7%
3 61
 
2.2%
4 67
 
2.5%
5 34
 
1.3%
6 25
 
0.9%
7 28
 
1.0%
8 21
 
0.8%
9 22
 
0.8%
ValueCountFrequency (%)
2312 1
< 0.1%
1675 1
< 0.1%
831 1
< 0.1%
630 1
< 0.1%
587 1
< 0.1%
456 1
< 0.1%
281 1
< 0.1%
241 1
< 0.1%
157 1
< 0.1%
147 1
< 0.1%

2006-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct88
Distinct (%)3.6%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean8.0382716
Minimum0
Maximum2703
Zeros1514
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:12.421448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile24.55
Maximum2703
Range2703
Interquartile range (IQR)2

Descriptive statistics

Standard deviation78.22237
Coefficient of variation (CV)9.7312425
Kurtosis767.26366
Mean8.0382716
Median Absolute Deviation (MAD)0
Skewness25.714538
Sum19533
Variance6118.7392
MonotonicityNot monotonic
2024-03-23T14:43:12.724604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1514
55.7%
1 247
 
9.1%
2 121
 
4.5%
3 65
 
2.4%
4 52
 
1.9%
5 39
 
1.4%
6 30
 
1.1%
9 29
 
1.1%
8 23
 
0.8%
7 23
 
0.8%
Other values (78) 287
 
10.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1514
55.7%
1 247
 
9.1%
2 121
 
4.5%
3 65
 
2.4%
4 52
 
1.9%
5 39
 
1.4%
6 30
 
1.1%
7 23
 
0.8%
8 23
 
0.8%
9 29
 
1.1%
ValueCountFrequency (%)
2703 1
< 0.1%
1962 1
< 0.1%
1095 1
< 0.1%
840 1
< 0.1%
819 1
< 0.1%
673 1
< 0.1%
401 1
< 0.1%
358 1
< 0.1%
254 1
< 0.1%
182 1
< 0.1%

2006-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct104
Distinct (%)4.3%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean11.101646
Minimum0
Maximum3819
Zeros1425
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:12.993271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile37
Maximum3819
Range3819
Interquartile range (IQR)2

Descriptive statistics

Standard deviation109.28628
Coefficient of variation (CV)9.8441507
Kurtosis810.88815
Mean11.101646
Median Absolute Deviation (MAD)0
Skewness26.522344
Sum26977
Variance11943.49
MonotonicityNot monotonic
2024-03-23T14:43:13.244458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1425
52.4%
1 271
 
10.0%
2 130
 
4.8%
3 65
 
2.4%
4 53
 
1.9%
6 37
 
1.4%
5 34
 
1.3%
7 32
 
1.2%
9 26
 
1.0%
11 23
 
0.8%
Other values (94) 334
 
12.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1425
52.4%
1 271
 
10.0%
2 130
 
4.8%
3 65
 
2.4%
4 53
 
1.9%
5 34
 
1.3%
6 37
 
1.4%
7 32
 
1.2%
8 17
 
0.6%
9 26
 
1.0%
ValueCountFrequency (%)
3819 1
< 0.1%
2838 1
< 0.1%
1394 1
< 0.1%
1171 1
< 0.1%
1042 1
< 0.1%
832 1
< 0.1%
563 1
< 0.1%
408 1
< 0.1%
284 1
< 0.1%
277 1
< 0.1%

2006-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct90
Distinct (%)3.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean7.9823045
Minimum0
Maximum2572
Zeros1435
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:13.481102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile23.55
Maximum2572
Range2572
Interquartile range (IQR)2

Descriptive statistics

Standard deviation74.246971
Coefficient of variation (CV)9.3014456
Kurtosis834.91531
Mean7.9823045
Median Absolute Deviation (MAD)0
Skewness26.958026
Sum19397
Variance5512.6127
MonotonicityNot monotonic
2024-03-23T14:43:13.713451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1435
52.8%
1 294
 
10.8%
2 126
 
4.6%
3 87
 
3.2%
4 47
 
1.7%
5 41
 
1.5%
6 33
 
1.2%
8 28
 
1.0%
7 24
 
0.9%
11 23
 
0.8%
Other values (80) 292
 
10.7%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1435
52.8%
1 294
 
10.8%
2 126
 
4.6%
3 87
 
3.2%
4 47
 
1.7%
5 41
 
1.5%
6 33
 
1.2%
7 24
 
0.9%
8 28
 
1.0%
9 19
 
0.7%
ValueCountFrequency (%)
2572 1
< 0.1%
2057 1
< 0.1%
767 1
< 0.1%
694 1
< 0.1%
689 1
< 0.1%
478 1
< 0.1%
367 1
< 0.1%
270 1
< 0.1%
217 1
< 0.1%
209 1
< 0.1%

2007-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)2.8%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean4.1901235
Minimum0
Maximum1431
Zeros1579
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:14.034022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum1431
Range1431
Interquartile range (IQR)1

Descriptive statistics

Standard deviation40.990385
Coefficient of variation (CV)9.7826199
Kurtosis908.97461
Mean4.1901235
Median Absolute Deviation (MAD)0
Skewness28.515045
Sum10182
Variance1680.2117
MonotonicityNot monotonic
2024-03-23T14:43:14.282609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1579
58.1%
1 281
 
10.3%
2 107
 
3.9%
3 94
 
3.5%
4 52
 
1.9%
5 40
 
1.5%
6 33
 
1.2%
7 30
 
1.1%
8 24
 
0.9%
10 19
 
0.7%
Other values (57) 171
 
6.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1579
58.1%
1 281
 
10.3%
2 107
 
3.9%
3 94
 
3.5%
4 52
 
1.9%
5 40
 
1.5%
6 33
 
1.2%
7 30
 
1.1%
8 24
 
0.9%
9 13
 
0.5%
ValueCountFrequency (%)
1431 1
< 0.1%
1200 1
< 0.1%
377 1
< 0.1%
358 1
< 0.1%
331 1
< 0.1%
193 1
< 0.1%
145 1
< 0.1%
141 1
< 0.1%
123 1
< 0.1%
102 1
< 0.1%

2007-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.5%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.5493827
Minimum0
Maximum1196
Zeros1620
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:14.527935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1196
Range1196
Interquartile range (IQR)1

Descriptive statistics

Standard deviation34.587099
Coefficient of variation (CV)9.7445392
Kurtosis918.7451
Mean3.5493827
Median Absolute Deviation (MAD)0
Skewness28.750082
Sum8625
Variance1196.2674
MonotonicityNot monotonic
2024-03-23T14:43:15.342069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1620
59.6%
1 285
 
10.5%
2 123
 
4.5%
3 73
 
2.7%
4 46
 
1.7%
5 39
 
1.4%
6 37
 
1.4%
8 23
 
0.8%
7 20
 
0.7%
9 19
 
0.7%
Other values (51) 145
 
5.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1620
59.6%
1 285
 
10.5%
2 123
 
4.5%
3 73
 
2.7%
4 46
 
1.7%
5 39
 
1.4%
6 37
 
1.4%
7 20
 
0.7%
8 23
 
0.8%
9 19
 
0.7%
ValueCountFrequency (%)
1196 1
< 0.1%
1040 1
< 0.1%
317 1
< 0.1%
273 1
< 0.1%
260 1
< 0.1%
130 1
< 0.1%
128 1
< 0.1%
101 1
< 0.1%
100 2
0.1%
83 1
< 0.1%

2007-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)2.8%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.9744856
Minimum0
Maximum1312
Zeros1603
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:15.597712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1312
Range1312
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.917667
Coefficient of variation (CV)9.7918751
Kurtosis919.03249
Mean3.9744856
Median Absolute Deviation (MAD)0
Skewness28.819801
Sum9658
Variance1514.5848
MonotonicityNot monotonic
2024-03-23T14:43:15.874322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1603
59.0%
1 282
 
10.4%
2 116
 
4.3%
3 76
 
2.8%
4 51
 
1.9%
6 39
 
1.4%
5 35
 
1.3%
8 26
 
1.0%
7 22
 
0.8%
9 21
 
0.8%
Other values (59) 159
 
5.8%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1603
59.0%
1 282
 
10.4%
2 116
 
4.3%
3 76
 
2.8%
4 51
 
1.9%
5 35
 
1.3%
6 39
 
1.4%
7 22
 
0.8%
8 26
 
1.0%
9 21
 
0.8%
ValueCountFrequency (%)
1312 1
< 0.1%
1218 1
< 0.1%
337 1
< 0.1%
285 1
< 0.1%
268 1
< 0.1%
155 1
< 0.1%
149 1
< 0.1%
135 1
< 0.1%
125 1
< 0.1%
98 1
< 0.1%

2007-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean4.0415638
Minimum0
Maximum1296
Zeros1607
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:16.158328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum1296
Range1296
Interquartile range (IQR)1

Descriptive statistics

Standard deviation39.600167
Coefficient of variation (CV)9.7982289
Kurtosis906.09827
Mean4.0415638
Median Absolute Deviation (MAD)0
Skewness28.614456
Sum9821
Variance1568.1732
MonotonicityNot monotonic
2024-03-23T14:43:16.458468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1607
59.1%
1 280
 
10.3%
2 107
 
3.9%
3 71
 
2.6%
4 57
 
2.1%
5 39
 
1.4%
6 31
 
1.1%
7 30
 
1.1%
9 26
 
1.0%
10 18
 
0.7%
Other values (55) 164
 
6.0%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1607
59.1%
1 280
 
10.3%
2 107
 
3.9%
3 71
 
2.6%
4 57
 
2.1%
5 39
 
1.4%
6 31
 
1.1%
7 30
 
1.1%
8 17
 
0.6%
9 26
 
1.0%
ValueCountFrequency (%)
1296 1
< 0.1%
1274 1
< 0.1%
354 1
< 0.1%
282 1
< 0.1%
281 1
< 0.1%
164 1
< 0.1%
162 2
0.1%
149 1
< 0.1%
108 1
< 0.1%
106 1
< 0.1%

2007-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.5%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.8074074
Minimum0
Maximum1304
Zeros1634
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:16.702456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1304
Range1304
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.720811
Coefficient of variation (CV)9.9072168
Kurtosis927.4466
Mean3.8074074
Median Absolute Deviation (MAD)0
Skewness28.896091
Sum9252
Variance1422.8596
MonotonicityNot monotonic
2024-03-23T14:43:16.983150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1634
60.1%
1 278
 
10.2%
2 101
 
3.7%
3 74
 
2.7%
4 56
 
2.1%
5 38
 
1.4%
6 37
 
1.4%
7 30
 
1.1%
8 23
 
0.8%
9 19
 
0.7%
Other values (51) 140
 
5.2%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1634
60.1%
1 278
 
10.2%
2 101
 
3.7%
3 74
 
2.7%
4 56
 
2.1%
5 38
 
1.4%
6 37
 
1.4%
7 30
 
1.1%
8 23
 
0.8%
9 19
 
0.7%
ValueCountFrequency (%)
1304 1
< 0.1%
1143 1
< 0.1%
313 1
< 0.1%
293 1
< 0.1%
261 1
< 0.1%
142 1
< 0.1%
140 1
< 0.1%
129 1
< 0.1%
114 2
0.1%
109 1
< 0.1%

2007-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct58
Distinct (%)2.4%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.4884774
Minimum0
Maximum1099
Zeros1669
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:17.316569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1099
Range1099
Interquartile range (IQR)1

Descriptive statistics

Standard deviation33.932156
Coefficient of variation (CV)9.7269244
Kurtosis890.05126
Mean3.4884774
Median Absolute Deviation (MAD)0
Skewness28.312737
Sum8477
Variance1151.3912
MonotonicityNot monotonic
2024-03-23T14:43:17.538332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1669
61.4%
1 246
 
9.1%
2 103
 
3.8%
3 71
 
2.6%
4 54
 
2.0%
5 38
 
1.4%
6 37
 
1.4%
8 27
 
1.0%
7 26
 
1.0%
9 16
 
0.6%
Other values (48) 143
 
5.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1669
61.4%
1 246
 
9.1%
2 103
 
3.8%
3 71
 
2.6%
4 54
 
2.0%
5 38
 
1.4%
6 37
 
1.4%
7 26
 
1.0%
8 27
 
1.0%
9 16
 
0.6%
ValueCountFrequency (%)
1099 1
< 0.1%
1093 1
< 0.1%
311 1
< 0.1%
278 1
< 0.1%
243 1
< 0.1%
145 1
< 0.1%
133 1
< 0.1%
111 1
< 0.1%
104 1
< 0.1%
101 1
< 0.1%

2007-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct62
Distinct (%)2.6%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.9831276
Minimum0
Maximum1266
Zeros1575
Zeros (%)57.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:17.719662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum1266
Range1266
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.294486
Coefficient of variation (CV)9.3631161
Kurtosis863.17997
Mean3.9831276
Median Absolute Deviation (MAD)0
Skewness27.710492
Sum9679
Variance1390.8787
MonotonicityNot monotonic
2024-03-23T14:43:17.922997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1575
57.9%
1 289
 
10.6%
2 122
 
4.5%
3 74
 
2.7%
6 49
 
1.8%
4 48
 
1.8%
5 37
 
1.4%
8 28
 
1.0%
7 26
 
1.0%
9 20
 
0.7%
Other values (52) 162
 
6.0%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1575
57.9%
1 289
 
10.6%
2 122
 
4.5%
3 74
 
2.7%
4 48
 
1.8%
5 37
 
1.4%
6 49
 
1.8%
7 26
 
1.0%
8 28
 
1.0%
9 20
 
0.7%
ValueCountFrequency (%)
1266 1
< 0.1%
1107 1
< 0.1%
376 1
< 0.1%
352 1
< 0.1%
297 1
< 0.1%
156 1
< 0.1%
155 1
< 0.1%
134 1
< 0.1%
125 1
< 0.1%
110 2
0.1%

2007-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)2.8%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.9251029
Minimum0
Maximum1279
Zeros1593
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:18.094935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1279
Range1279
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.680595
Coefficient of variation (CV)9.5999
Kurtosis895.61895
Mean3.9251029
Median Absolute Deviation (MAD)0
Skewness28.359613
Sum9538
Variance1419.8272
MonotonicityNot monotonic
2024-03-23T14:43:18.288585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1593
58.6%
1 278
 
10.2%
2 119
 
4.4%
3 85
 
3.1%
4 47
 
1.7%
6 44
 
1.6%
5 42
 
1.5%
8 26
 
1.0%
10 20
 
0.7%
9 20
 
0.7%
Other values (57) 156
 
5.7%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1593
58.6%
1 278
 
10.2%
2 119
 
4.4%
3 85
 
3.1%
4 47
 
1.7%
5 42
 
1.5%
6 44
 
1.6%
7 14
 
0.5%
8 26
 
1.0%
9 20
 
0.7%
ValueCountFrequency (%)
1279 1
< 0.1%
1148 1
< 0.1%
357 1
< 0.1%
313 1
< 0.1%
289 1
< 0.1%
159 1
< 0.1%
128 1
< 0.1%
118 1
< 0.1%
113 1
< 0.1%
102 1
< 0.1%

2007-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct58
Distinct (%)2.4%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.1440329
Minimum0
Maximum1036
Zeros1667
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:18.473715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1036
Range1036
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.870155
Coefficient of variation (CV)9.8186488
Kurtosis881.10691
Mean3.1440329
Median Absolute Deviation (MAD)0
Skewness28.121229
Sum7640
Variance952.96648
MonotonicityNot monotonic
2024-03-23T14:43:18.703817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1667
61.3%
1 277
 
10.2%
2 94
 
3.5%
3 77
 
2.8%
4 65
 
2.4%
5 46
 
1.7%
7 28
 
1.0%
6 22
 
0.8%
8 17
 
0.6%
10 16
 
0.6%
Other values (48) 121
 
4.5%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1667
61.3%
1 277
 
10.2%
2 94
 
3.5%
3 77
 
2.8%
4 65
 
2.4%
5 46
 
1.7%
6 22
 
0.8%
7 28
 
1.0%
8 17
 
0.6%
9 14
 
0.5%
ValueCountFrequency (%)
1036 1
< 0.1%
946 1
< 0.1%
315 1
< 0.1%
249 1
< 0.1%
239 1
< 0.1%
139 1
< 0.1%
106 1
< 0.1%
103 2
0.1%
94 1
< 0.1%
84 1
< 0.1%

2007-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.8%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean4.6683128
Minimum0
Maximum1643
Zeros1560
Zeros (%)57.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:18.894126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum1643
Range1643
Interquartile range (IQR)1

Descriptive statistics

Standard deviation45.483355
Coefficient of variation (CV)9.7429965
Kurtosis954.42197
Mean4.6683128
Median Absolute Deviation (MAD)0
Skewness29.133823
Sum11344
Variance2068.7356
MonotonicityNot monotonic
2024-03-23T14:43:19.070568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1560
57.4%
1 280
 
10.3%
2 125
 
4.6%
3 71
 
2.6%
4 55
 
2.0%
5 44
 
1.6%
6 30
 
1.1%
7 29
 
1.1%
9 25
 
0.9%
8 25
 
0.9%
Other values (58) 186
 
6.8%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1560
57.4%
1 280
 
10.3%
2 125
 
4.6%
3 71
 
2.6%
4 55
 
2.0%
5 44
 
1.6%
6 30
 
1.1%
7 29
 
1.1%
8 25
 
0.9%
9 25
 
0.9%
ValueCountFrequency (%)
1643 1
< 0.1%
1283 1
< 0.1%
390 1
< 0.1%
351 1
< 0.1%
342 1
< 0.1%
199 1
< 0.1%
149 1
< 0.1%
143 1
< 0.1%
135 1
< 0.1%
132 1
< 0.1%

2007-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)2.8%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean4.7057613
Minimum0
Maximum1593
Zeros1547
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:19.295466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile14
Maximum1593
Range1593
Interquartile range (IQR)1

Descriptive statistics

Standard deviation45.577881
Coefficient of variation (CV)9.6855487
Kurtosis904.42076
Mean4.7057613
Median Absolute Deviation (MAD)0
Skewness28.397975
Sum11435
Variance2077.3432
MonotonicityNot monotonic
2024-03-23T14:43:19.537342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1547
56.9%
1 299
 
11.0%
2 115
 
4.2%
3 65
 
2.4%
4 57
 
2.1%
5 43
 
1.6%
6 37
 
1.4%
7 28
 
1.0%
9 25
 
0.9%
8 23
 
0.8%
Other values (59) 191
 
7.0%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1547
56.9%
1 299
 
11.0%
2 115
 
4.2%
3 65
 
2.4%
4 57
 
2.1%
5 43
 
1.6%
6 37
 
1.4%
7 28
 
1.0%
8 23
 
0.8%
9 25
 
0.9%
ValueCountFrequency (%)
1593 1
< 0.1%
1326 1
< 0.1%
410 1
< 0.1%
404 1
< 0.1%
381 1
< 0.1%
205 1
< 0.1%
156 1
< 0.1%
151 1
< 0.1%
147 1
< 0.1%
116 1
< 0.1%

2007-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean4.2855967
Minimum0
Maximum1517
Zeros1595
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:19.798049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum1517
Range1517
Interquartile range (IQR)1

Descriptive statistics

Standard deviation42.152147
Coefficient of variation (CV)9.8357709
Kurtosis957.69829
Mean4.2855967
Median Absolute Deviation (MAD)0
Skewness29.230703
Sum10414
Variance1776.8035
MonotonicityNot monotonic
2024-03-23T14:43:20.047969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1595
58.7%
1 283
 
10.4%
2 124
 
4.6%
3 62
 
2.3%
4 51
 
1.9%
5 48
 
1.8%
7 34
 
1.3%
6 27
 
1.0%
9 24
 
0.9%
8 17
 
0.6%
Other values (55) 165
 
6.1%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1595
58.7%
1 283
 
10.4%
2 124
 
4.6%
3 62
 
2.3%
4 51
 
1.9%
5 48
 
1.8%
6 27
 
1.0%
7 34
 
1.3%
8 17
 
0.6%
9 24
 
0.9%
ValueCountFrequency (%)
1517 1
< 0.1%
1205 1
< 0.1%
340 1
< 0.1%
333 1
< 0.1%
290 1
< 0.1%
196 1
< 0.1%
131 1
< 0.1%
130 1
< 0.1%
120 1
< 0.1%
112 1
< 0.1%

2008-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct72
Distinct (%)3.0%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean4.2917695
Minimum0
Maximum1477
Zeros1582
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:20.305986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1477
Range1477
Interquartile range (IQR)1

Descriptive statistics

Standard deviation41.969495
Coefficient of variation (CV)9.7790654
Kurtosis941.08452
Mean4.2917695
Median Absolute Deviation (MAD)0
Skewness29.059035
Sum10429
Variance1761.4385
MonotonicityNot monotonic
2024-03-23T14:43:20.518228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1582
58.2%
1 293
 
10.8%
2 122
 
4.5%
3 66
 
2.4%
4 50
 
1.8%
5 47
 
1.7%
6 38
 
1.4%
8 29
 
1.1%
7 23
 
0.8%
9 20
 
0.7%
Other values (62) 160
 
5.9%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1582
58.2%
1 293
 
10.8%
2 122
 
4.5%
3 66
 
2.4%
4 50
 
1.8%
5 47
 
1.7%
6 38
 
1.4%
7 23
 
0.8%
8 29
 
1.1%
9 20
 
0.7%
ValueCountFrequency (%)
1477 1
< 0.1%
1244 1
< 0.1%
329 1
< 0.1%
323 1
< 0.1%
299 1
< 0.1%
175 1
< 0.1%
124 1
< 0.1%
122 1
< 0.1%
120 1
< 0.1%
118 1
< 0.1%

2008-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct70
Distinct (%)2.9%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean4.1728395
Minimum0
Maximum1408
Zeros1600
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:20.710617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum1408
Range1408
Interquartile range (IQR)1

Descriptive statistics

Standard deviation40.068393
Coefficient of variation (CV)9.6021888
Kurtosis932.68108
Mean4.1728395
Median Absolute Deviation (MAD)0
Skewness28.894836
Sum10140
Variance1605.4761
MonotonicityNot monotonic
2024-03-23T14:43:20.966796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1600
58.9%
1 272
 
10.0%
2 124
 
4.6%
3 63
 
2.3%
4 51
 
1.9%
5 41
 
1.5%
6 40
 
1.5%
7 27
 
1.0%
8 22
 
0.8%
10 18
 
0.7%
Other values (60) 172
 
6.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1600
58.9%
1 272
 
10.0%
2 124
 
4.6%
3 63
 
2.3%
4 51
 
1.9%
5 41
 
1.5%
6 40
 
1.5%
7 27
 
1.0%
8 22
 
0.8%
9 16
 
0.6%
ValueCountFrequency (%)
1408 1
< 0.1%
1183 1
< 0.1%
332 1
< 0.1%
316 1
< 0.1%
275 1
< 0.1%
183 1
< 0.1%
140 1
< 0.1%
130 1
< 0.1%
120 1
< 0.1%
118 1
< 0.1%

2008-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct75
Distinct (%)3.1%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean5.2506173
Minimum0
Maximum1769
Zeros1518
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:21.296531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1769
Range1769
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.181553
Coefficient of variation (CV)9.7477212
Kurtosis910.13925
Mean5.2506173
Median Absolute Deviation (MAD)0
Skewness28.572417
Sum12759
Variance2619.5514
MonotonicityNot monotonic
2024-03-23T14:43:21.542248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1518
55.8%
1 293
 
10.8%
2 128
 
4.7%
3 68
 
2.5%
4 56
 
2.1%
5 43
 
1.6%
6 33
 
1.2%
8 33
 
1.2%
7 26
 
1.0%
10 20
 
0.7%
Other values (65) 212
 
7.8%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1518
55.8%
1 293
 
10.8%
2 128
 
4.7%
3 68
 
2.5%
4 56
 
2.1%
5 43
 
1.6%
6 33
 
1.2%
7 26
 
1.0%
8 33
 
1.2%
9 16
 
0.6%
ValueCountFrequency (%)
1769 1
< 0.1%
1530 1
< 0.1%
472 1
< 0.1%
396 1
< 0.1%
372 1
< 0.1%
302 1
< 0.1%
198 1
< 0.1%
179 1
< 0.1%
135 1
< 0.1%
131 2
0.1%

2008-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct87
Distinct (%)3.6%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean6.5600823
Minimum0
Maximum2318
Zeros1484
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:22.452734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum2318
Range2318
Interquartile range (IQR)2

Descriptive statistics

Standard deviation64.337414
Coefficient of variation (CV)9.8074096
Kurtosis935.07431
Mean6.5600823
Median Absolute Deviation (MAD)0
Skewness28.759506
Sum15941
Variance4139.3029
MonotonicityNot monotonic
2024-03-23T14:43:22.698677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1484
54.6%
1 289
 
10.6%
2 128
 
4.7%
3 80
 
2.9%
4 46
 
1.7%
5 43
 
1.6%
6 29
 
1.1%
8 27
 
1.0%
7 25
 
0.9%
11 24
 
0.9%
Other values (77) 255
 
9.4%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1484
54.6%
1 289
 
10.6%
2 128
 
4.7%
3 80
 
2.9%
4 46
 
1.7%
5 43
 
1.6%
6 29
 
1.1%
7 25
 
0.9%
8 27
 
1.0%
9 21
 
0.8%
ValueCountFrequency (%)
2318 1
< 0.1%
1791 1
< 0.1%
545 1
< 0.1%
531 1
< 0.1%
496 1
< 0.1%
428 1
< 0.1%
250 1
< 0.1%
245 1
< 0.1%
199 1
< 0.1%
193 1
< 0.1%

2008-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)3.0%
Missing279
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean5.3517835
Minimum0
Maximum1792
Zeros1520
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:22.910913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1792
Range1792
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.530585
Coefficient of variation (CV)9.6286752
Kurtosis895.55972
Mean5.3517835
Median Absolute Deviation (MAD)0
Skewness28.24479
Sum13053
Variance2655.4012
MonotonicityNot monotonic
2024-03-23T14:43:23.217137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1520
55.9%
1 302
 
11.1%
2 112
 
4.1%
3 64
 
2.4%
4 59
 
2.2%
5 47
 
1.7%
6 40
 
1.5%
7 31
 
1.1%
10 22
 
0.8%
11 22
 
0.8%
Other values (64) 220
 
8.1%
(Missing) 279
 
10.3%
ValueCountFrequency (%)
0 1520
55.9%
1 302
 
11.1%
2 112
 
4.1%
3 64
 
2.4%
4 59
 
2.2%
5 47
 
1.7%
6 40
 
1.5%
7 31
 
1.1%
8 19
 
0.7%
9 21
 
0.8%
ValueCountFrequency (%)
1792 1
< 0.1%
1507 1
< 0.1%
479 1
< 0.1%
468 1
< 0.1%
420 1
< 0.1%
270 1
< 0.1%
179 1
< 0.1%
170 1
< 0.1%
168 1
< 0.1%
150 1
< 0.1%

2008-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)3.0%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.3227513
Minimum0
Maximum1862
Zeros1535
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:23.534917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1862
Range1862
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.408393
Coefficient of variation (CV)9.6582369
Kurtosis948.5525
Mean5.3227513
Median Absolute Deviation (MAD)0
Skewness29.002642
Sum13078
Variance2642.8229
MonotonicityNot monotonic
2024-03-23T14:43:23.752646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1535
56.5%
1 295
 
10.9%
2 112
 
4.1%
3 86
 
3.2%
4 52
 
1.9%
5 50
 
1.8%
6 34
 
1.3%
7 25
 
0.9%
10 24
 
0.9%
9 21
 
0.8%
Other values (64) 223
 
8.2%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1535
56.5%
1 295
 
10.9%
2 112
 
4.1%
3 86
 
3.2%
4 52
 
1.9%
5 50
 
1.8%
6 34
 
1.3%
7 25
 
0.9%
8 20
 
0.7%
9 21
 
0.8%
ValueCountFrequency (%)
1862 1
< 0.1%
1444 1
< 0.1%
457 1
< 0.1%
436 1
< 0.1%
430 1
< 0.1%
246 1
< 0.1%
178 1
< 0.1%
172 1
< 0.1%
147 1
< 0.1%
142 1
< 0.1%

2008-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.2%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.031339
Minimum0
Maximum1719
Zeros1548
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:23.951274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum1719
Range1719
Interquartile range (IQR)1

Descriptive statistics

Standard deviation48.340896
Coefficient of variation (CV)9.6079584
Kurtosis939.83972
Mean5.031339
Median Absolute Deviation (MAD)0
Skewness28.963379
Sum12362
Variance2336.8423
MonotonicityNot monotonic
2024-03-23T14:43:24.176481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1548
57.0%
1 295
 
10.9%
2 130
 
4.8%
3 72
 
2.6%
4 56
 
2.1%
5 48
 
1.8%
7 31
 
1.1%
8 25
 
0.9%
10 24
 
0.9%
6 24
 
0.9%
Other values (68) 204
 
7.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1548
57.0%
1 295
 
10.9%
2 130
 
4.8%
3 72
 
2.6%
4 56
 
2.1%
5 48
 
1.8%
6 24
 
0.9%
7 31
 
1.1%
8 25
 
0.9%
9 20
 
0.7%
ValueCountFrequency (%)
1719 1
< 0.1%
1411 1
< 0.1%
436 1
< 0.1%
386 1
< 0.1%
368 1
< 0.1%
186 1
< 0.1%
156 1
< 0.1%
154 1
< 0.1%
134 1
< 0.1%
133 1
< 0.1%

2008-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.8%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.8213268
Minimum0
Maximum1316
Zeros1621
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:24.443540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1316
Range1316
Interquartile range (IQR)1

Descriptive statistics

Standard deviation36.642201
Coefficient of variation (CV)9.5888686
Kurtosis955.23304
Mean3.8213268
Median Absolute Deviation (MAD)0
Skewness29.196023
Sum9389
Variance1342.6509
MonotonicityNot monotonic
2024-03-23T14:43:24.669048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1621
59.6%
1 290
 
10.7%
2 113
 
4.2%
3 69
 
2.5%
4 56
 
2.1%
5 44
 
1.6%
6 36
 
1.3%
7 30
 
1.1%
8 24
 
0.9%
10 20
 
0.7%
Other values (58) 154
 
5.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1621
59.6%
1 290
 
10.7%
2 113
 
4.2%
3 69
 
2.5%
4 56
 
2.1%
5 44
 
1.6%
6 36
 
1.3%
7 30
 
1.1%
8 24
 
0.9%
9 14
 
0.5%
ValueCountFrequency (%)
1316 1
< 0.1%
1060 1
< 0.1%
329 1
< 0.1%
299 1
< 0.1%
240 1
< 0.1%
125 1
< 0.1%
120 1
< 0.1%
119 1
< 0.1%
116 1
< 0.1%
112 1
< 0.1%

2008-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct60
Distinct (%)2.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.5929996
Minimum0
Maximum1279
Zeros1642
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:25.056075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1279
Range1279
Interquartile range (IQR)1

Descriptive statistics

Standard deviation34.925077
Coefficient of variation (CV)9.7203119
Kurtosis982.84142
Mean3.5929996
Median Absolute Deviation (MAD)0
Skewness29.569119
Sum8828
Variance1219.761
MonotonicityNot monotonic
2024-03-23T14:43:25.726289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1642
60.4%
1 293
 
10.8%
2 109
 
4.0%
3 67
 
2.5%
4 56
 
2.1%
5 47
 
1.7%
6 39
 
1.4%
8 23
 
0.8%
7 21
 
0.8%
11 16
 
0.6%
Other values (50) 144
 
5.3%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1642
60.4%
1 293
 
10.8%
2 109
 
4.0%
3 67
 
2.5%
4 56
 
2.1%
5 47
 
1.7%
6 39
 
1.4%
7 21
 
0.8%
8 23
 
0.8%
9 15
 
0.6%
ValueCountFrequency (%)
1279 1
< 0.1%
986 1
< 0.1%
294 1
< 0.1%
269 1
< 0.1%
231 1
< 0.1%
151 1
< 0.1%
120 2
0.1%
106 1
< 0.1%
84 1
< 0.1%
79 1
< 0.1%

2008-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.6%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.7753358
Minimum0
Maximum1404
Zeros1637
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:26.492213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1404
Range1404
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.533525
Coefficient of variation (CV)9.9417712
Kurtosis991.4577
Mean3.7753358
Median Absolute Deviation (MAD)0
Skewness29.43521
Sum9276
Variance1408.7655
MonotonicityNot monotonic
2024-03-23T14:43:27.004249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1637
60.2%
1 313
 
11.5%
2 112
 
4.1%
3 63
 
2.3%
5 53
 
1.9%
4 52
 
1.9%
6 37
 
1.4%
10 20
 
0.7%
7 19
 
0.7%
8 17
 
0.6%
Other values (55) 134
 
4.9%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1637
60.2%
1 313
 
11.5%
2 112
 
4.1%
3 63
 
2.3%
4 52
 
1.9%
5 53
 
1.9%
6 37
 
1.4%
7 19
 
0.7%
8 17
 
0.6%
9 10
 
0.4%
ValueCountFrequency (%)
1404 1
< 0.1%
995 1
< 0.1%
336 1
< 0.1%
295 1
< 0.1%
233 1
< 0.1%
206 1
< 0.1%
169 1
< 0.1%
142 1
< 0.1%
140 1
< 0.1%
122 1
< 0.1%

2008-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct57
Distinct (%)2.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean2.6699227
Minimum0
Maximum876
Zeros1718
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:27.303716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum876
Range876
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.634976
Coefficient of variation (CV)9.6013927
Kurtosis926.9062
Mean2.6699227
Median Absolute Deviation (MAD)0
Skewness28.839544
Sum6560
Variance657.152
MonotonicityNot monotonic
2024-03-23T14:43:27.601192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1718
63.2%
1 294
 
10.8%
2 109
 
4.0%
3 69
 
2.5%
4 59
 
2.2%
5 27
 
1.0%
6 24
 
0.9%
7 21
 
0.8%
8 17
 
0.6%
9 14
 
0.5%
Other values (47) 105
 
3.9%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1718
63.2%
1 294
 
10.8%
2 109
 
4.0%
3 69
 
2.5%
4 59
 
2.2%
5 27
 
1.0%
6 24
 
0.9%
7 21
 
0.8%
8 17
 
0.6%
9 14
 
0.5%
ValueCountFrequency (%)
876 1
< 0.1%
797 1
< 0.1%
230 1
< 0.1%
141 1
< 0.1%
135 1
< 0.1%
110 1
< 0.1%
109 1
< 0.1%
106 2
0.1%
81 1
< 0.1%
77 1
< 0.1%

2008-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct49
Distinct (%)2.0%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean2.5128205
Minimum0
Maximum960
Zeros1727
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:27.825626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum960
Range960
Interquartile range (IQR)1

Descriptive statistics

Standard deviation24.344533
Coefficient of variation (CV)9.6881305
Kurtosis1097.6833
Mean2.5128205
Median Absolute Deviation (MAD)0
Skewness30.680529
Sum6174
Variance592.65629
MonotonicityNot monotonic
2024-03-23T14:43:28.128022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1727
63.5%
1 294
 
10.8%
2 111
 
4.1%
3 72
 
2.6%
4 42
 
1.5%
6 28
 
1.0%
5 26
 
1.0%
7 23
 
0.8%
8 18
 
0.7%
9 17
 
0.6%
Other values (39) 99
 
3.6%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1727
63.5%
1 294
 
10.8%
2 111
 
4.1%
3 72
 
2.6%
4 42
 
1.5%
5 26
 
1.0%
6 28
 
1.0%
7 23
 
0.8%
8 18
 
0.7%
9 17
 
0.6%
ValueCountFrequency (%)
960 1
< 0.1%
567 1
< 0.1%
239 1
< 0.1%
174 1
< 0.1%
167 1
< 0.1%
100 1
< 0.1%
92 1
< 0.1%
89 2
0.1%
85 1
< 0.1%
84 1
< 0.1%

2009-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct52
Distinct (%)2.1%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean2.3842084
Minimum0
Maximum792
Zeros1749
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:28.482139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum792
Range792
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.787911
Coefficient of variation (CV)9.1384257
Kurtosis923.58221
Mean2.3842084
Median Absolute Deviation (MAD)0
Skewness28.372233
Sum5858
Variance474.71307
MonotonicityNot monotonic
2024-03-23T14:43:28.756210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1749
64.3%
1 274
 
10.1%
2 119
 
4.4%
3 70
 
2.6%
4 41
 
1.5%
6 33
 
1.2%
5 31
 
1.1%
7 16
 
0.6%
9 14
 
0.5%
8 14
 
0.5%
Other values (42) 96
 
3.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1749
64.3%
1 274
 
10.1%
2 119
 
4.4%
3 70
 
2.6%
4 41
 
1.5%
5 31
 
1.1%
6 33
 
1.2%
7 16
 
0.6%
8 14
 
0.5%
9 14
 
0.5%
ValueCountFrequency (%)
792 1
< 0.1%
587 1
< 0.1%
270 1
< 0.1%
156 1
< 0.1%
89 1
< 0.1%
87 1
< 0.1%
78 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%
73 1
< 0.1%

2009-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct66
Distinct (%)2.7%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.7590558
Minimum0
Maximum1217
Zeros1605
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:29.091756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1217
Range1217
Interquartile range (IQR)1

Descriptive statistics

Standard deviation33.917745
Coefficient of variation (CV)9.0229428
Kurtosis882.92909
Mean3.7590558
Median Absolute Deviation (MAD)0
Skewness27.708597
Sum9236
Variance1150.4134
MonotonicityNot monotonic
2024-03-23T14:43:29.408189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1605
59.1%
1 290
 
10.7%
2 125
 
4.6%
4 72
 
2.6%
3 71
 
2.6%
6 42
 
1.5%
5 40
 
1.5%
7 23
 
0.8%
9 20
 
0.7%
11 20
 
0.7%
Other values (56) 149
 
5.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1605
59.1%
1 290
 
10.7%
2 125
 
4.6%
3 71
 
2.6%
4 72
 
2.6%
5 40
 
1.5%
6 42
 
1.5%
7 23
 
0.8%
8 17
 
0.6%
9 20
 
0.7%
ValueCountFrequency (%)
1217 1
< 0.1%
904 1
< 0.1%
440 1
< 0.1%
310 1
< 0.1%
234 1
< 0.1%
136 1
< 0.1%
131 1
< 0.1%
112 1
< 0.1%
106 1
< 0.1%
104 1
< 0.1%

2009-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)3.2%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.9365079
Minimum0
Maximum1546
Zeros1542
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:29.652439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15.2
Maximum1546
Range1546
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.901201
Coefficient of variation (CV)8.690597
Kurtosis857.87634
Mean4.9365079
Median Absolute Deviation (MAD)0
Skewness27.129061
Sum12129
Variance1840.5131
MonotonicityNot monotonic
2024-03-23T14:43:29.908673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1542
56.7%
1 290
 
10.7%
2 122
 
4.5%
3 75
 
2.8%
4 59
 
2.2%
5 48
 
1.8%
6 42
 
1.5%
7 27
 
1.0%
10 25
 
0.9%
9 22
 
0.8%
Other values (69) 205
 
7.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1542
56.7%
1 290
 
10.7%
2 122
 
4.5%
3 75
 
2.8%
4 59
 
2.2%
5 48
 
1.8%
6 42
 
1.5%
7 27
 
1.0%
8 17
 
0.6%
9 22
 
0.8%
ValueCountFrequency (%)
1546 1
< 0.1%
1072 1
< 0.1%
656 1
< 0.1%
369 1
< 0.1%
262 1
< 0.1%
247 1
< 0.1%
172 1
< 0.1%
157 1
< 0.1%
149 1
< 0.1%
142 1
< 0.1%

2009-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.1%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.0765161
Minimum0
Maximum1769
Zeros1512
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:30.636025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1769
Range1769
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.366528
Coefficient of variation (CV)9.1335331
Kurtosis983.07395
Mean5.0765161
Median Absolute Deviation (MAD)0
Skewness28.940173
Sum12473
Variance2149.8549
MonotonicityNot monotonic
2024-03-23T14:43:30.894670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1512
55.6%
1 281
 
10.3%
2 150
 
5.5%
3 83
 
3.1%
4 56
 
2.1%
5 43
 
1.6%
6 41
 
1.5%
8 30
 
1.1%
7 30
 
1.1%
9 21
 
0.8%
Other values (66) 210
 
7.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1512
55.6%
1 281
 
10.3%
2 150
 
5.5%
3 83
 
3.1%
4 56
 
2.1%
5 43
 
1.6%
6 41
 
1.5%
7 30
 
1.1%
8 30
 
1.1%
9 21
 
0.8%
ValueCountFrequency (%)
1769 1
< 0.1%
1071 1
< 0.1%
625 1
< 0.1%
435 1
< 0.1%
281 1
< 0.1%
229 1
< 0.1%
175 1
< 0.1%
172 1
< 0.1%
158 1
< 0.1%
155 1
< 0.1%

2009-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.8%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.99593
Minimum0
Maximum1741
Zeros1526
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:31.099806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1741
Range1741
Interquartile range (IQR)2

Descriptive statistics

Standard deviation45.849421
Coefficient of variation (CV)9.1773545
Kurtosis961.7159
Mean4.99593
Median Absolute Deviation (MAD)0
Skewness28.5661
Sum12275
Variance2102.1694
MonotonicityNot monotonic
2024-03-23T14:43:31.310471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1526
56.1%
1 295
 
10.9%
2 114
 
4.2%
3 80
 
2.9%
4 63
 
2.3%
6 45
 
1.7%
5 37
 
1.4%
7 34
 
1.3%
8 31
 
1.1%
10 22
 
0.8%
Other values (58) 210
 
7.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1526
56.1%
1 295
 
10.9%
2 114
 
4.2%
3 80
 
2.9%
4 63
 
2.3%
5 37
 
1.4%
6 45
 
1.7%
7 34
 
1.3%
8 31
 
1.1%
9 19
 
0.7%
ValueCountFrequency (%)
1741 1
< 0.1%
1040 1
< 0.1%
627 1
< 0.1%
477 1
< 0.1%
300 1
< 0.1%
259 1
< 0.1%
202 1
< 0.1%
163 1
< 0.1%
147 1
< 0.1%
132 1
< 0.1%

2009-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.8441188
Minimum0
Maximum2062
Zeros1488
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:31.611619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2062
Range2062
Interquartile range (IQR)2

Descriptive statistics

Standard deviation53.613214
Coefficient of variation (CV)9.1738748
Kurtosis996.01211
Mean5.8441188
Median Absolute Deviation (MAD)0
Skewness29.072456
Sum14359
Variance2874.3767
MonotonicityNot monotonic
2024-03-23T14:43:31.850983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1488
54.7%
1 285
 
10.5%
2 129
 
4.7%
3 89
 
3.3%
4 61
 
2.2%
6 37
 
1.4%
5 35
 
1.3%
7 31
 
1.1%
8 27
 
1.0%
9 27
 
1.0%
Other values (70) 248
 
9.1%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1488
54.7%
1 285
 
10.5%
2 129
 
4.7%
3 89
 
3.3%
4 61
 
2.2%
5 35
 
1.3%
6 37
 
1.4%
7 31
 
1.1%
8 27
 
1.0%
9 27
 
1.0%
ValueCountFrequency (%)
2062 1
< 0.1%
1181 1
< 0.1%
782 1
< 0.1%
490 1
< 0.1%
333 1
< 0.1%
278 1
< 0.1%
202 1
< 0.1%
185 1
< 0.1%
180 1
< 0.1%
160 1
< 0.1%

2009-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)3.2%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean6.2096052
Minimum0
Maximum2047
Zeros1460
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:32.088964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2047
Range2047
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.044767
Coefficient of variation (CV)8.8644551
Kurtosis904.52995
Mean6.2096052
Median Absolute Deviation (MAD)0
Skewness27.517389
Sum15257
Variance3029.9263
MonotonicityNot monotonic
2024-03-23T14:43:32.283875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1460
53.7%
1 295
 
10.9%
2 145
 
5.3%
3 90
 
3.3%
4 54
 
2.0%
6 41
 
1.5%
5 39
 
1.4%
7 29
 
1.1%
9 28
 
1.0%
8 27
 
1.0%
Other values (69) 249
 
9.2%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1460
53.7%
1 295
 
10.9%
2 145
 
5.3%
3 90
 
3.3%
4 54
 
2.0%
5 39
 
1.4%
6 41
 
1.5%
7 29
 
1.1%
8 27
 
1.0%
9 28
 
1.0%
ValueCountFrequency (%)
2047 1
< 0.1%
1289 1
< 0.1%
720 1
< 0.1%
479 1
< 0.1%
372 1
< 0.1%
298 1
< 0.1%
293 1
< 0.1%
274 2
0.1%
192 1
< 0.1%
189 1
< 0.1%

2009-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct83
Distinct (%)3.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.7704518
Minimum0
Maximum2015
Zeros1505
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:32.487554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2015
Range2015
Interquartile range (IQR)2

Descriptive statistics

Standard deviation52.882431
Coefficient of variation (CV)9.1643485
Kurtosis977.17842
Mean5.7704518
Median Absolute Deviation (MAD)0
Skewness28.818775
Sum14178
Variance2796.5515
MonotonicityNot monotonic
2024-03-23T14:43:32.705455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1505
55.4%
1 286
 
10.5%
2 131
 
4.8%
3 74
 
2.7%
4 49
 
1.8%
5 47
 
1.7%
6 36
 
1.3%
7 34
 
1.3%
9 31
 
1.1%
10 28
 
1.0%
Other values (73) 236
 
8.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1505
55.4%
1 286
 
10.5%
2 131
 
4.8%
3 74
 
2.7%
4 49
 
1.8%
5 47
 
1.7%
6 36
 
1.3%
7 34
 
1.3%
8 23
 
0.8%
9 31
 
1.1%
ValueCountFrequency (%)
2015 1
< 0.1%
1214 1
< 0.1%
742 1
< 0.1%
419 1
< 0.1%
368 1
< 0.1%
280 1
< 0.1%
216 1
< 0.1%
181 1
< 0.1%
172 1
< 0.1%
168 1
< 0.1%

2009-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct83
Distinct (%)3.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean6.2832723
Minimum0
Maximum2179
Zeros1487
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:32.954145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2179
Range2179
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.344593
Coefficient of variation (CV)9.2857019
Kurtosis959.97177
Mean6.2832723
Median Absolute Deviation (MAD)0
Skewness28.814186
Sum15438
Variance3404.0915
MonotonicityNot monotonic
2024-03-23T14:43:33.208885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1487
54.7%
1 281
 
10.3%
2 129
 
4.7%
3 74
 
2.7%
4 61
 
2.2%
5 39
 
1.4%
6 35
 
1.3%
7 31
 
1.1%
9 28
 
1.0%
8 27
 
1.0%
Other values (73) 265
 
9.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1487
54.7%
1 281
 
10.3%
2 129
 
4.7%
3 74
 
2.7%
4 61
 
2.2%
5 39
 
1.4%
6 35
 
1.3%
7 31
 
1.1%
8 27
 
1.0%
9 28
 
1.0%
ValueCountFrequency (%)
2179 1
< 0.1%
1483 1
< 0.1%
666 1
< 0.1%
476 1
< 0.1%
466 1
< 0.1%
309 1
< 0.1%
200 1
< 0.1%
187 1
< 0.1%
185 2
0.1%
170 1
< 0.1%

2009-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean6.0582011
Minimum0
Maximum2073
Zeros1485
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:33.414708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2073
Range2073
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.972206
Coefficient of variation (CV)9.2390804
Kurtosis937.64632
Mean6.0582011
Median Absolute Deviation (MAD)0
Skewness28.501824
Sum14885
Variance3132.8879
MonotonicityNot monotonic
2024-03-23T14:43:33.666963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1485
54.6%
1 292
 
10.7%
2 118
 
4.3%
3 86
 
3.2%
4 55
 
2.0%
5 47
 
1.7%
6 36
 
1.3%
10 27
 
1.0%
7 27
 
1.0%
8 27
 
1.0%
Other values (70) 257
 
9.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1485
54.6%
1 292
 
10.7%
2 118
 
4.3%
3 86
 
3.2%
4 55
 
2.0%
5 47
 
1.7%
6 36
 
1.3%
7 27
 
1.0%
8 27
 
1.0%
9 25
 
0.9%
ValueCountFrequency (%)
2073 1
< 0.1%
1423 1
< 0.1%
704 1
< 0.1%
517 1
< 0.1%
376 1
< 0.1%
269 1
< 0.1%
232 1
< 0.1%
221 1
< 0.1%
157 1
< 0.1%
154 1
< 0.1%

2009-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)2.9%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.0952381
Minimum0
Maximum1734
Zeros1503
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:33.950193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1734
Range1734
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.598796
Coefficient of variation (CV)9.145558
Kurtosis959.65052
Mean5.0952381
Median Absolute Deviation (MAD)0
Skewness28.893683
Sum12519
Variance2171.4478
MonotonicityNot monotonic
2024-03-23T14:43:34.204176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1503
55.3%
1 300
 
11.0%
2 131
 
4.8%
3 88
 
3.2%
4 58
 
2.1%
5 44
 
1.6%
7 35
 
1.3%
8 34
 
1.3%
6 31
 
1.1%
10 22
 
0.8%
Other values (61) 211
 
7.8%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1503
55.3%
1 300
 
11.0%
2 131
 
4.8%
3 88
 
3.2%
4 58
 
2.1%
5 44
 
1.6%
6 31
 
1.1%
7 35
 
1.3%
8 34
 
1.3%
9 21
 
0.8%
ValueCountFrequency (%)
1734 1
< 0.1%
1201 1
< 0.1%
589 1
< 0.1%
343 1
< 0.1%
278 1
< 0.1%
224 1
< 0.1%
182 1
< 0.1%
166 1
< 0.1%
161 1
< 0.1%
118 1
< 0.1%

2009-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)3.0%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.0590151
Minimum0
Maximum1729
Zeros1491
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:34.429175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1729
Range1729
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.509852
Coefficient of variation (CV)9.1934598
Kurtosis958.27699
Mean5.0590151
Median Absolute Deviation (MAD)0
Skewness28.890911
Sum12430
Variance2163.1663
MonotonicityNot monotonic
2024-03-23T14:43:34.682132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1491
54.9%
1 303
 
11.1%
2 155
 
5.7%
3 84
 
3.1%
5 57
 
2.1%
4 47
 
1.7%
6 42
 
1.5%
7 32
 
1.2%
8 29
 
1.1%
9 19
 
0.7%
Other values (63) 198
 
7.3%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1491
54.9%
1 303
 
11.1%
2 155
 
5.7%
3 84
 
3.1%
4 47
 
1.7%
5 57
 
2.1%
6 42
 
1.5%
7 32
 
1.2%
8 29
 
1.1%
9 19
 
0.7%
ValueCountFrequency (%)
1729 1
< 0.1%
1199 1
< 0.1%
616 1
< 0.1%
271 1
< 0.1%
264 1
< 0.1%
231 1
< 0.1%
212 1
< 0.1%
170 1
< 0.1%
142 1
< 0.1%
130 1
< 0.1%

2010-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)2.7%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.984941
Minimum0
Maximum1371
Zeros1581
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:34.912395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1371
Range1371
Interquartile range (IQR)1

Descriptive statistics

Standard deviation36.464768
Coefficient of variation (CV)9.150642
Kurtosis971.36564
Mean3.984941
Median Absolute Deviation (MAD)0
Skewness28.993836
Sum9791
Variance1329.6793
MonotonicityNot monotonic
2024-03-23T14:43:35.142976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1581
58.2%
1 292
 
10.7%
2 128
 
4.7%
3 72
 
2.6%
4 61
 
2.2%
6 43
 
1.6%
5 42
 
1.5%
7 38
 
1.4%
10 20
 
0.7%
9 19
 
0.7%
Other values (57) 161
 
5.9%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1581
58.2%
1 292
 
10.7%
2 128
 
4.7%
3 72
 
2.6%
4 61
 
2.2%
5 42
 
1.5%
6 43
 
1.6%
7 38
 
1.4%
8 12
 
0.4%
9 19
 
0.7%
ValueCountFrequency (%)
1371 1
< 0.1%
906 1
< 0.1%
498 1
< 0.1%
233 1
< 0.1%
206 1
< 0.1%
184 1
< 0.1%
151 1
< 0.1%
142 1
< 0.1%
124 1
< 0.1%
96 1
< 0.1%

2010-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct70
Distinct (%)2.8%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.6638177
Minimum0
Maximum1603
Zeros1519
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:35.420963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1603
Range1603
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.424067
Coefficient of variation (CV)9.0964248
Kurtosis980.76729
Mean4.6638177
Median Absolute Deviation (MAD)0
Skewness29.099443
Sum11459
Variance1799.8014
MonotonicityNot monotonic
2024-03-23T14:43:35.717020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1519
55.9%
1 304
 
11.2%
2 131
 
4.8%
3 85
 
3.1%
4 50
 
1.8%
5 47
 
1.7%
8 37
 
1.4%
6 35
 
1.3%
7 34
 
1.3%
10 26
 
1.0%
Other values (60) 189
 
7.0%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1519
55.9%
1 304
 
11.2%
2 131
 
4.8%
3 85
 
3.1%
4 50
 
1.8%
5 47
 
1.7%
6 35
 
1.3%
7 34
 
1.3%
8 37
 
1.4%
9 18
 
0.7%
ValueCountFrequency (%)
1603 1
< 0.1%
1043 1
< 0.1%
576 1
< 0.1%
261 1
< 0.1%
245 1
< 0.1%
188 1
< 0.1%
184 1
< 0.1%
165 1
< 0.1%
150 1
< 0.1%
130 1
< 0.1%

2010-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.2%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.4004884
Minimum0
Maximum1934
Zeros1481
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:35.918298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1934
Range1934
Interquartile range (IQR)2

Descriptive statistics

Standard deviation50.491928
Coefficient of variation (CV)9.3495115
Kurtosis1018.1896
Mean5.4004884
Median Absolute Deviation (MAD)0
Skewness29.665785
Sum13269
Variance2549.4348
MonotonicityNot monotonic
2024-03-23T14:43:36.165131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1481
54.5%
1 318
 
11.7%
2 136
 
5.0%
3 76
 
2.8%
4 61
 
2.2%
5 40
 
1.5%
6 39
 
1.4%
8 37
 
1.4%
7 33
 
1.2%
9 28
 
1.0%
Other values (68) 208
 
7.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1481
54.5%
1 318
 
11.7%
2 136
 
5.0%
3 76
 
2.8%
4 61
 
2.2%
5 40
 
1.5%
6 39
 
1.4%
7 33
 
1.2%
8 37
 
1.4%
9 28
 
1.0%
ValueCountFrequency (%)
1934 1
< 0.1%
1227 1
< 0.1%
651 1
< 0.1%
359 1
< 0.1%
260 1
< 0.1%
201 1
< 0.1%
194 1
< 0.1%
169 1
< 0.1%
166 1
< 0.1%
157 1
< 0.1%

2010-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)3.0%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.9173789
Minimum0
Maximum1747
Zeros1507
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:36.412880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1747
Range1747
Interquartile range (IQR)2

Descriptive statistics

Standard deviation45.5396
Coefficient of variation (CV)9.2609499
Kurtosis1027.6508
Mean4.9173789
Median Absolute Deviation (MAD)0
Skewness29.819904
Sum12082
Variance2073.8551
MonotonicityNot monotonic
2024-03-23T14:43:36.633603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1507
55.4%
1 303
 
11.1%
2 136
 
5.0%
3 78
 
2.9%
4 64
 
2.4%
5 45
 
1.7%
6 39
 
1.4%
7 37
 
1.4%
8 34
 
1.3%
10 20
 
0.7%
Other values (63) 194
 
7.1%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1507
55.4%
1 303
 
11.1%
2 136
 
5.0%
3 78
 
2.9%
4 64
 
2.4%
5 45
 
1.7%
6 39
 
1.4%
7 37
 
1.4%
8 34
 
1.3%
9 14
 
0.5%
ValueCountFrequency (%)
1747 1
 
< 0.1%
1120 1
 
< 0.1%
549 1
 
< 0.1%
297 1
 
< 0.1%
247 1
 
< 0.1%
207 1
 
< 0.1%
200 1
 
< 0.1%
161 1
 
< 0.1%
133 1
 
< 0.1%
123 3
0.1%

2010-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)2.6%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.8636549
Minimum0
Maximum1356
Zeros1556
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:37.320113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1356
Range1356
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.844632
Coefficient of variation (CV)9.2773898
Kurtosis995.98227
Mean3.8636549
Median Absolute Deviation (MAD)0
Skewness29.424884
Sum9493
Variance1284.8377
MonotonicityNot monotonic
2024-03-23T14:43:37.553030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1556
57.2%
1 315
 
11.6%
2 131
 
4.8%
3 74
 
2.7%
4 64
 
2.4%
6 49
 
1.8%
5 47
 
1.7%
7 24
 
0.9%
9 19
 
0.7%
8 18
 
0.7%
Other values (53) 160
 
5.9%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1556
57.2%
1 315
 
11.6%
2 131
 
4.8%
3 74
 
2.7%
4 64
 
2.4%
5 47
 
1.7%
6 49
 
1.8%
7 24
 
0.9%
8 18
 
0.7%
9 19
 
0.7%
ValueCountFrequency (%)
1356 1
< 0.1%
902 1
< 0.1%
452 1
< 0.1%
236 1
< 0.1%
205 1
< 0.1%
169 1
< 0.1%
167 1
< 0.1%
134 1
< 0.1%
102 1
< 0.1%
93 1
< 0.1%

2010-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.8%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.8762719
Minimum0
Maximum1347
Zeros1570
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:37.925086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1347
Range1347
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.710143
Coefficient of variation (CV)9.212497
Kurtosis982.73409
Mean3.8762719
Median Absolute Deviation (MAD)0
Skewness29.190093
Sum9524
Variance1275.2143
MonotonicityNot monotonic
2024-03-23T14:43:38.208572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1570
57.8%
1 301
 
11.1%
2 145
 
5.3%
3 79
 
2.9%
4 54
 
2.0%
5 43
 
1.6%
6 42
 
1.5%
7 26
 
1.0%
10 21
 
0.8%
8 20
 
0.7%
Other values (58) 156
 
5.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1570
57.8%
1 301
 
11.1%
2 145
 
5.3%
3 79
 
2.9%
4 54
 
2.0%
5 43
 
1.6%
6 42
 
1.5%
7 26
 
1.0%
8 20
 
0.7%
9 17
 
0.6%
ValueCountFrequency (%)
1347 1
< 0.1%
890 1
< 0.1%
477 1
< 0.1%
232 1
< 0.1%
190 1
< 0.1%
176 1
< 0.1%
168 1
< 0.1%
132 1
< 0.1%
99 1
< 0.1%
93 1
< 0.1%

2010-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)2.5%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean3.6714976
Minimum0
Maximum1258
Zeros1599
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:38.514738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1258
Range1258
Interquartile range (IQR)1

Descriptive statistics

Standard deviation33.261095
Coefficient of variation (CV)9.0592718
Kurtosis988.33959
Mean3.6714976
Median Absolute Deviation (MAD)0
Skewness29.275604
Sum9120
Variance1106.3004
MonotonicityNot monotonic
2024-03-23T14:43:38.866992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1599
58.8%
1 329
 
12.1%
2 116
 
4.3%
3 79
 
2.9%
5 51
 
1.9%
4 51
 
1.9%
6 44
 
1.6%
7 28
 
1.0%
9 19
 
0.7%
8 16
 
0.6%
Other values (53) 152
 
5.6%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1599
58.8%
1 329
 
12.1%
2 116
 
4.3%
3 79
 
2.9%
4 51
 
1.9%
5 51
 
1.9%
6 44
 
1.6%
7 28
 
1.0%
8 16
 
0.6%
9 19
 
0.7%
ValueCountFrequency (%)
1258 1
< 0.1%
838 1
< 0.1%
456 1
< 0.1%
202 1
< 0.1%
153 1
< 0.1%
148 1
< 0.1%
145 1
< 0.1%
121 1
< 0.1%
93 1
< 0.1%
83 1
< 0.1%

2010-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)2.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean3.5068438
Minimum0
Maximum1227
Zeros1615
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:39.098193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1227
Range1227
Interquartile range (IQR)1

Descriptive statistics

Standard deviation31.622617
Coefficient of variation (CV)9.017401
Kurtosis1043.5972
Mean3.5068438
Median Absolute Deviation (MAD)0
Skewness29.943984
Sum8711
Variance999.98988
MonotonicityNot monotonic
2024-03-23T14:43:39.355105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1615
59.4%
1 313
 
11.5%
2 116
 
4.3%
3 82
 
3.0%
4 59
 
2.2%
5 50
 
1.8%
6 42
 
1.5%
9 24
 
0.9%
8 21
 
0.8%
7 19
 
0.7%
Other values (57) 143
 
5.3%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1615
59.4%
1 313
 
11.5%
2 116
 
4.3%
3 82
 
3.0%
4 59
 
2.2%
5 50
 
1.8%
6 42
 
1.5%
7 19
 
0.7%
8 21
 
0.8%
9 24
 
0.9%
ValueCountFrequency (%)
1227 1
< 0.1%
756 1
< 0.1%
411 1
< 0.1%
209 1
< 0.1%
141 1
< 0.1%
137 1
< 0.1%
130 1
< 0.1%
124 1
< 0.1%
106 1
< 0.1%
84 1
< 0.1%

2010-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean3.6022544
Minimum0
Maximum1209
Zeros1638
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:39.602622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1209
Range1209
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.714296
Coefficient of variation (CV)9.0816172
Kurtosis955.0552
Mean3.6022544
Median Absolute Deviation (MAD)0
Skewness28.896303
Sum8948
Variance1070.2251
MonotonicityNot monotonic
2024-03-23T14:43:39.814510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1638
60.3%
1 292
 
10.7%
2 112
 
4.1%
3 79
 
2.9%
4 60
 
2.2%
5 54
 
2.0%
6 43
 
1.6%
8 23
 
0.8%
7 22
 
0.8%
10 19
 
0.7%
Other values (58) 142
 
5.2%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1638
60.3%
1 292
 
10.7%
2 112
 
4.1%
3 79
 
2.9%
4 60
 
2.2%
5 54
 
2.0%
6 43
 
1.6%
7 22
 
0.8%
8 23
 
0.8%
9 15
 
0.6%
ValueCountFrequency (%)
1209 1
< 0.1%
873 1
< 0.1%
427 1
< 0.1%
205 1
< 0.1%
152 1
< 0.1%
140 1
< 0.1%
128 1
< 0.1%
121 1
< 0.1%
113 1
< 0.1%
109 1
< 0.1%

2010-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)2.8%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.9138486
Minimum0
Maximum1661
Zeros1539
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:40.063001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15.85
Maximum1661
Range1661
Interquartile range (IQR)2

Descriptive statistics

Standard deviation44.604972
Coefficient of variation (CV)9.0774005
Kurtosis955.66603
Mean4.9138486
Median Absolute Deviation (MAD)0
Skewness28.837078
Sum12206
Variance1989.6035
MonotonicityNot monotonic
2024-03-23T14:43:40.338835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1539
56.6%
1 297
 
10.9%
2 124
 
4.6%
3 92
 
3.4%
4 64
 
2.4%
7 46
 
1.7%
6 43
 
1.6%
5 31
 
1.1%
8 25
 
0.9%
10 21
 
0.8%
Other values (59) 202
 
7.4%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1539
56.6%
1 297
 
10.9%
2 124
 
4.6%
3 92
 
3.4%
4 64
 
2.4%
5 31
 
1.1%
6 43
 
1.6%
7 46
 
1.7%
8 25
 
0.9%
9 18
 
0.7%
ValueCountFrequency (%)
1661 1
< 0.1%
1150 1
< 0.1%
620 1
< 0.1%
311 1
< 0.1%
218 1
< 0.1%
196 1
< 0.1%
181 1
< 0.1%
174 1
< 0.1%
145 1
< 0.1%
119 2
0.1%

2010-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct81
Distinct (%)3.3%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean6.1763285
Minimum0
Maximum2137
Zeros1508
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:40.569247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2137
Range2137
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.607663
Coefficient of variation (CV)9.0033525
Kurtosis1005.1765
Mean6.1763285
Median Absolute Deviation (MAD)0
Skewness29.323832
Sum15342
Variance3092.2121
MonotonicityNot monotonic
2024-03-23T14:43:40.757306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1508
55.5%
1 271
 
10.0%
2 119
 
4.4%
3 92
 
3.4%
4 61
 
2.2%
5 48
 
1.8%
6 34
 
1.3%
9 32
 
1.2%
7 31
 
1.1%
8 24
 
0.9%
Other values (71) 264
 
9.7%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1508
55.5%
1 271
 
10.0%
2 119
 
4.4%
3 92
 
3.4%
4 61
 
2.2%
5 48
 
1.8%
6 34
 
1.3%
7 31
 
1.1%
8 24
 
0.9%
9 32
 
1.2%
ValueCountFrequency (%)
2137 1
< 0.1%
1304 1
< 0.1%
788 1
< 0.1%
433 1
< 0.1%
291 1
< 0.1%
250 1
< 0.1%
246 1
< 0.1%
204 1
< 0.1%
192 1
< 0.1%
148 1
< 0.1%

2010-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct97
Distinct (%)3.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean7.6457327
Minimum0
Maximum2524
Zeros1443
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:41.040811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile25
Maximum2524
Range2524
Interquartile range (IQR)3

Descriptive statistics

Standard deviation66.077897
Coefficient of variation (CV)8.6424545
Kurtosis972.56369
Mean7.6457327
Median Absolute Deviation (MAD)0
Skewness28.69019
Sum18992
Variance4366.2885
MonotonicityNot monotonic
2024-03-23T14:43:41.359358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1443
53.1%
1 275
 
10.1%
2 126
 
4.6%
3 92
 
3.4%
4 58
 
2.1%
6 50
 
1.8%
5 38
 
1.4%
8 34
 
1.3%
7 33
 
1.2%
10 24
 
0.9%
Other values (87) 311
 
11.4%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1443
53.1%
1 275
 
10.1%
2 126
 
4.6%
3 92
 
3.4%
4 58
 
2.1%
5 38
 
1.4%
6 50
 
1.8%
7 33
 
1.2%
8 34
 
1.3%
9 16
 
0.6%
ValueCountFrequency (%)
2524 1
< 0.1%
1487 1
< 0.1%
1027 1
< 0.1%
475 1
< 0.1%
403 1
< 0.1%
339 1
< 0.1%
277 1
< 0.1%
259 1
< 0.1%
248 1
< 0.1%
236 1
< 0.1%

2011-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.1%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.3405797
Minimum0
Maximum1873
Zeros1547
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:41.598813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1873
Range1873
Interquartile range (IQR)2

Descriptive statistics

Standard deviation48.71384
Coefficient of variation (CV)9.1214517
Kurtosis997.98908
Mean5.3405797
Median Absolute Deviation (MAD)0
Skewness29.190144
Sum13266
Variance2373.0382
MonotonicityNot monotonic
2024-03-23T14:43:41.895043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1547
56.9%
1 266
 
9.8%
2 117
 
4.3%
3 87
 
3.2%
4 56
 
2.1%
5 50
 
1.8%
6 41
 
1.5%
7 40
 
1.5%
11 25
 
0.9%
8 23
 
0.8%
Other values (68) 232
 
8.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1547
56.9%
1 266
 
9.8%
2 117
 
4.3%
3 87
 
3.2%
4 56
 
2.1%
5 50
 
1.8%
6 41
 
1.5%
7 40
 
1.5%
8 23
 
0.8%
9 21
 
0.8%
ValueCountFrequency (%)
1873 1
< 0.1%
1106 1
< 0.1%
738 1
< 0.1%
418 1
< 0.1%
246 1
< 0.1%
217 1
< 0.1%
206 1
< 0.1%
183 1
< 0.1%
172 1
< 0.1%
166 1
< 0.1%

2011-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct84
Distinct (%)3.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean6.023752
Minimum0
Maximum2175
Zeros1493
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:42.132826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2175
Range2175
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.562679
Coefficient of variation (CV)9.223932
Kurtosis1047.7061
Mean6.023752
Median Absolute Deviation (MAD)0
Skewness29.877718
Sum14963
Variance3087.2113
MonotonicityNot monotonic
2024-03-23T14:43:42.358544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1493
54.9%
1 284
 
10.4%
2 131
 
4.8%
3 85
 
3.1%
4 56
 
2.1%
5 51
 
1.9%
6 35
 
1.3%
7 35
 
1.3%
9 24
 
0.9%
8 23
 
0.8%
Other values (74) 267
 
9.8%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1493
54.9%
1 284
 
10.4%
2 131
 
4.8%
3 85
 
3.1%
4 56
 
2.1%
5 51
 
1.9%
6 35
 
1.3%
7 35
 
1.3%
8 23
 
0.8%
9 24
 
0.9%
ValueCountFrequency (%)
2175 1
< 0.1%
1223 1
< 0.1%
805 1
< 0.1%
488 1
< 0.1%
310 1
< 0.1%
227 1
< 0.1%
212 1
< 0.1%
207 1
< 0.1%
196 1
< 0.1%
163 1
< 0.1%

2011-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct88
Distinct (%)3.5%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean7.023752
Minimum0
Maximum2375
Zeros1441
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:42.664949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile21
Maximum2375
Range2375
Interquartile range (IQR)3

Descriptive statistics

Standard deviation62.972399
Coefficient of variation (CV)8.9656353
Kurtosis956.74349
Mean7.023752
Median Absolute Deviation (MAD)0
Skewness28.671631
Sum17447
Variance3965.523
MonotonicityNot monotonic
2024-03-23T14:43:42.963922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1441
53.0%
1 293
 
10.8%
2 124
 
4.6%
3 96
 
3.5%
4 55
 
2.0%
5 45
 
1.7%
6 41
 
1.5%
8 35
 
1.3%
7 33
 
1.2%
16 27
 
1.0%
Other values (78) 294
 
10.8%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1441
53.0%
1 293
 
10.8%
2 124
 
4.6%
3 96
 
3.5%
4 55
 
2.0%
5 45
 
1.7%
6 41
 
1.5%
7 33
 
1.2%
8 35
 
1.3%
9 14
 
0.5%
ValueCountFrequency (%)
2375 1
< 0.1%
1508 1
< 0.1%
933 1
< 0.1%
558 1
< 0.1%
400 1
< 0.1%
275 1
< 0.1%
250 1
< 0.1%
182 1
< 0.1%
180 1
< 0.1%
174 1
< 0.1%

2011-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean6.3228663
Minimum0
Maximum2244
Zeros1461
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:43.203741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum2244
Range2244
Interquartile range (IQR)2

Descriptive statistics

Standard deviation57.659223
Coefficient of variation (CV)9.1191589
Kurtosis1042.5505
Mean6.3228663
Median Absolute Deviation (MAD)0
Skewness29.893057
Sum15706
Variance3324.586
MonotonicityNot monotonic
2024-03-23T14:43:43.457798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1461
53.8%
1 290
 
10.7%
2 128
 
4.7%
3 80
 
2.9%
4 59
 
2.2%
5 56
 
2.1%
6 52
 
1.9%
7 38
 
1.4%
11 28
 
1.0%
9 25
 
0.9%
Other values (70) 267
 
9.8%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1461
53.8%
1 290
 
10.7%
2 128
 
4.7%
3 80
 
2.9%
4 59
 
2.2%
5 56
 
2.1%
6 52
 
1.9%
7 38
 
1.4%
8 24
 
0.9%
9 25
 
0.9%
ValueCountFrequency (%)
2244 1
< 0.1%
1335 1
< 0.1%
789 1
< 0.1%
454 1
< 0.1%
327 1
< 0.1%
227 1
< 0.1%
217 1
< 0.1%
210 1
< 0.1%
191 1
< 0.1%
169 1
< 0.1%

2011-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.7169887
Minimum0
Maximum1908
Zeros1480
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:43.713415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum1908
Range1908
Interquartile range (IQR)2

Descriptive statistics

Standard deviation50.71959
Coefficient of variation (CV)8.8717318
Kurtosis959.16769
Mean5.7169887
Median Absolute Deviation (MAD)0
Skewness28.7213
Sum14201
Variance2572.4769
MonotonicityNot monotonic
2024-03-23T14:43:43.974327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1480
54.5%
1 293
 
10.8%
2 155
 
5.7%
3 73
 
2.7%
4 64
 
2.4%
5 46
 
1.7%
6 43
 
1.6%
7 36
 
1.3%
9 29
 
1.1%
8 25
 
0.9%
Other values (70) 240
 
8.8%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1480
54.5%
1 293
 
10.8%
2 155
 
5.7%
3 73
 
2.7%
4 64
 
2.4%
5 46
 
1.7%
6 43
 
1.6%
7 36
 
1.3%
8 25
 
0.9%
9 29
 
1.1%
ValueCountFrequency (%)
1908 1
< 0.1%
1246 1
< 0.1%
733 1
< 0.1%
369 1
< 0.1%
267 1
< 0.1%
240 1
< 0.1%
189 1
< 0.1%
174 1
< 0.1%
168 1
< 0.1%
161 1
< 0.1%

2011-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.1%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.2922705
Minimum0
Maximum1726
Zeros1490
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:44.228209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1726
Range1726
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.600183
Coefficient of variation (CV)8.805329
Kurtosis920.84228
Mean5.2922705
Median Absolute Deviation (MAD)0
Skewness28.191695
Sum13146
Variance2171.577
MonotonicityNot monotonic
2024-03-23T14:43:45.046963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1490
54.8%
1 306
 
11.3%
2 139
 
5.1%
3 76
 
2.8%
4 66
 
2.4%
5 45
 
1.7%
8 38
 
1.4%
6 36
 
1.3%
9 29
 
1.1%
7 29
 
1.1%
Other values (66) 230
 
8.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1490
54.8%
1 306
 
11.3%
2 139
 
5.1%
3 76
 
2.8%
4 66
 
2.4%
5 45
 
1.7%
6 36
 
1.3%
7 29
 
1.1%
8 38
 
1.4%
9 29
 
1.1%
ValueCountFrequency (%)
1726 1
< 0.1%
1151 1
< 0.1%
732 1
< 0.1%
339 1
< 0.1%
266 1
< 0.1%
221 1
< 0.1%
169 1
< 0.1%
153 1
< 0.1%
149 1
< 0.1%
145 1
< 0.1%

2011-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.1%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.9959742
Minimum0
Maximum1639
Zeros1501
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:45.360314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1639
Range1639
Interquartile range (IQR)2

Descriptive statistics

Standard deviation43.816564
Coefficient of variation (CV)8.7703742
Kurtosis935.19234
Mean4.9959742
Median Absolute Deviation (MAD)0
Skewness28.346685
Sum12410
Variance1919.8912
MonotonicityNot monotonic
2024-03-23T14:43:45.592988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1501
55.2%
1 301
 
11.1%
2 133
 
4.9%
3 86
 
3.2%
4 65
 
2.4%
5 57
 
2.1%
6 41
 
1.5%
7 39
 
1.4%
9 33
 
1.2%
10 25
 
0.9%
Other values (66) 203
 
7.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1501
55.2%
1 301
 
11.1%
2 133
 
4.9%
3 86
 
3.2%
4 65
 
2.4%
5 57
 
2.1%
6 41
 
1.5%
7 39
 
1.4%
8 21
 
0.8%
9 33
 
1.2%
ValueCountFrequency (%)
1639 1
< 0.1%
1048 1
< 0.1%
701 1
< 0.1%
325 1
< 0.1%
258 1
< 0.1%
214 1
< 0.1%
157 1
< 0.1%
144 1
< 0.1%
136 2
0.1%
126 1
< 0.1%

2011-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)2.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.9730274
Minimum0
Maximum1582
Zeros1526
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:45.882277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1582
Range1582
Interquartile range (IQR)2

Descriptive statistics

Standard deviation43.651889
Coefficient of variation (CV)8.7777294
Kurtosis888.82734
Mean4.9730274
Median Absolute Deviation (MAD)0
Skewness27.793196
Sum12353
Variance1905.4874
MonotonicityNot monotonic
2024-03-23T14:43:46.145649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1526
56.1%
1 295
 
10.9%
2 129
 
4.7%
3 70
 
2.6%
4 62
 
2.3%
5 58
 
2.1%
8 36
 
1.3%
9 30
 
1.1%
6 30
 
1.1%
7 29
 
1.1%
Other values (63) 219
 
8.1%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1526
56.1%
1 295
 
10.9%
2 129
 
4.7%
3 70
 
2.6%
4 62
 
2.3%
5 58
 
2.1%
6 30
 
1.1%
7 29
 
1.1%
8 36
 
1.3%
9 30
 
1.1%
ValueCountFrequency (%)
1582 1
< 0.1%
1134 1
< 0.1%
665 1
< 0.1%
332 1
< 0.1%
263 1
< 0.1%
231 1
< 0.1%
164 1
< 0.1%
139 1
< 0.1%
135 1
< 0.1%
125 1
< 0.1%

2011-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)3.0%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.8566828
Minimum0
Maximum1571
Zeros1517
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:46.431589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1571
Range1571
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.855417
Coefficient of variation (CV)8.82401
Kurtosis905.77521
Mean4.8566828
Median Absolute Deviation (MAD)0
Skewness27.982141
Sum12064
Variance1836.5868
MonotonicityNot monotonic
2024-03-23T14:43:46.675743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1517
55.8%
1 294
 
10.8%
2 146
 
5.4%
3 79
 
2.9%
4 56
 
2.1%
5 46
 
1.7%
6 38
 
1.4%
7 35
 
1.3%
8 28
 
1.0%
9 28
 
1.0%
Other values (64) 217
 
8.0%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1517
55.8%
1 294
 
10.8%
2 146
 
5.4%
3 79
 
2.9%
4 56
 
2.1%
5 46
 
1.7%
6 38
 
1.4%
7 35
 
1.3%
8 28
 
1.0%
9 28
 
1.0%
ValueCountFrequency (%)
1571 1
< 0.1%
1096 1
< 0.1%
600 1
< 0.1%
385 1
< 0.1%
310 1
< 0.1%
211 1
< 0.1%
164 1
< 0.1%
147 1
< 0.1%
140 1
< 0.1%
130 1
< 0.1%

2011-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)3.0%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.1863929
Minimum0
Maximum1690
Zeros1501
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:46.982800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1690
Range1690
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.597559
Coefficient of variation (CV)8.9845795
Kurtosis902.85327
Mean5.1863929
Median Absolute Deviation (MAD)0
Skewness28.071839
Sum12883
Variance2171.3325
MonotonicityNot monotonic
2024-03-23T14:43:47.280244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1501
55.2%
1 288
 
10.6%
2 144
 
5.3%
3 82
 
3.0%
4 62
 
2.3%
5 48
 
1.8%
6 42
 
1.5%
7 37
 
1.4%
8 32
 
1.2%
9 32
 
1.2%
Other values (64) 216
 
7.9%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1501
55.2%
1 288
 
10.6%
2 144
 
5.3%
3 82
 
3.0%
4 62
 
2.3%
5 48
 
1.8%
6 42
 
1.5%
7 37
 
1.4%
8 32
 
1.2%
9 32
 
1.2%
ValueCountFrequency (%)
1690 1
< 0.1%
1240 1
< 0.1%
626 1
< 0.1%
427 1
< 0.1%
339 1
< 0.1%
185 1
< 0.1%
160 1
< 0.1%
157 1
< 0.1%
129 1
< 0.1%
125 1
< 0.1%

2011-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.1%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.2854267
Minimum0
Maximum1731
Zeros1498
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:47.604666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1731
Range1731
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.782866
Coefficient of variation (CV)8.8512941
Kurtosis914.07798
Mean5.2854267
Median Absolute Deviation (MAD)0
Skewness28.082741
Sum13129
Variance2188.6366
MonotonicityNot monotonic
2024-03-23T14:43:47.886638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1498
55.1%
1 294
 
10.8%
2 147
 
5.4%
3 67
 
2.5%
4 54
 
2.0%
5 53
 
1.9%
6 44
 
1.6%
9 34
 
1.3%
8 33
 
1.2%
7 32
 
1.2%
Other values (66) 228
 
8.4%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1498
55.1%
1 294
 
10.8%
2 147
 
5.4%
3 67
 
2.5%
4 54
 
2.0%
5 53
 
1.9%
6 44
 
1.6%
7 32
 
1.2%
8 33
 
1.2%
9 34
 
1.3%
ValueCountFrequency (%)
1731 1
< 0.1%
1146 1
< 0.1%
733 1
< 0.1%
415 1
< 0.1%
272 1
< 0.1%
228 1
< 0.1%
153 1
< 0.1%
152 1
< 0.1%
149 1
< 0.1%
144 1
< 0.1%

2011-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct96
Distinct (%)3.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean7.6940419
Minimum0
Maximum2728
Zeros1385
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:48.145310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile23
Maximum2728
Range2728
Interquartile range (IQR)3

Descriptive statistics

Standard deviation69.086209
Coefficient of variation (CV)8.9791829
Kurtosis1071.0804
Mean7.6940419
Median Absolute Deviation (MAD)0
Skewness30.12181
Sum19112
Variance4772.9043
MonotonicityNot monotonic
2024-03-23T14:43:48.450499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1385
51.0%
1 296
 
10.9%
2 152
 
5.6%
3 98
 
3.6%
4 52
 
1.9%
5 52
 
1.9%
6 49
 
1.8%
8 38
 
1.4%
9 34
 
1.3%
11 25
 
0.9%
Other values (86) 303
 
11.1%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1385
51.0%
1 296
 
10.9%
2 152
 
5.6%
3 98
 
3.6%
4 52
 
1.9%
5 52
 
1.9%
6 49
 
1.8%
7 22
 
0.8%
8 38
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
2728 1
< 0.1%
1492 1
< 0.1%
963 1
< 0.1%
592 1
< 0.1%
371 1
< 0.1%
346 1
< 0.1%
239 1
< 0.1%
206 1
< 0.1%
190 1
< 0.1%
179 1
< 0.1%

2012-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct43
Distinct (%)1.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.7049114
Minimum0
Maximum569
Zeros1797
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:48.697397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum569
Range569
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.118044
Coefficient of variation (CV)8.8673486
Kurtosis943.7706
Mean1.7049114
Median Absolute Deviation (MAD)0
Skewness28.376658
Sum4235
Variance228.55526
MonotonicityNot monotonic
2024-03-23T14:43:48.914948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 1797
66.1%
1 280
 
10.3%
2 138
 
5.1%
3 78
 
2.9%
4 46
 
1.7%
5 25
 
0.9%
7 21
 
0.8%
6 15
 
0.6%
9 9
 
0.3%
8 7
 
0.3%
Other values (33) 68
 
2.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1797
66.1%
1 280
 
10.3%
2 138
 
5.1%
3 78
 
2.9%
4 46
 
1.7%
5 25
 
0.9%
6 15
 
0.6%
7 21
 
0.8%
8 7
 
0.3%
9 9
 
0.3%
ValueCountFrequency (%)
569 1
< 0.1%
355 1
< 0.1%
237 1
< 0.1%
113 1
< 0.1%
95 1
< 0.1%
65 1
< 0.1%
62 1
< 0.1%
50 1
< 0.1%
46 1
< 0.1%
44 1
< 0.1%

2012-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct66
Distinct (%)2.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean3.6610306
Minimum0
Maximum1191
Zeros1558
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:49.121312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1191
Range1191
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.247186
Coefficient of variation (CV)8.8082264
Kurtosis926.17686
Mean3.6610306
Median Absolute Deviation (MAD)0
Skewness28.338743
Sum9094
Variance1039.881
MonotonicityNot monotonic
2024-03-23T14:43:49.370976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1558
57.3%
1 317
 
11.7%
2 139
 
5.1%
3 79
 
2.9%
4 65
 
2.4%
5 57
 
2.1%
6 40
 
1.5%
8 29
 
1.1%
9 26
 
1.0%
7 26
 
1.0%
Other values (56) 148
 
5.4%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1558
57.3%
1 317
 
11.7%
2 139
 
5.1%
3 79
 
2.9%
4 65
 
2.4%
5 57
 
2.1%
6 40
 
1.5%
7 26
 
1.0%
8 29
 
1.1%
9 26
 
1.0%
ValueCountFrequency (%)
1191 1
< 0.1%
821 1
< 0.1%
474 1
< 0.1%
255 1
< 0.1%
173 1
< 0.1%
159 1
< 0.1%
117 1
< 0.1%
111 1
< 0.1%
96 1
< 0.1%
95 1
< 0.1%

2012-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)2.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.3595008
Minimum0
Maximum1426
Zeros1515
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:49.626562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1426
Range1426
Interquartile range (IQR)2

Descriptive statistics

Standard deviation38.721409
Coefficient of variation (CV)8.8820742
Kurtosis926.33718
Mean4.3595008
Median Absolute Deviation (MAD)0
Skewness28.347787
Sum10829
Variance1499.3475
MonotonicityNot monotonic
2024-03-23T14:43:49.906343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1515
55.7%
1 327
 
12.0%
2 137
 
5.0%
3 79
 
2.9%
4 61
 
2.2%
5 48
 
1.8%
6 40
 
1.5%
7 34
 
1.3%
8 31
 
1.1%
9 31
 
1.1%
Other values (61) 181
 
6.7%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1515
55.7%
1 327
 
12.0%
2 137
 
5.0%
3 79
 
2.9%
4 61
 
2.2%
5 48
 
1.8%
6 40
 
1.5%
7 34
 
1.3%
8 31
 
1.1%
9 31
 
1.1%
ValueCountFrequency (%)
1426 1
< 0.1%
1005 1
< 0.1%
514 1
< 0.1%
356 1
< 0.1%
228 1
< 0.1%
168 1
< 0.1%
163 1
< 0.1%
133 1
< 0.1%
114 1
< 0.1%
102 1
< 0.1%

2012-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.2326892
Minimum0
Maximum1426
Zeros1537
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:50.127027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1426
Range1426
Interquartile range (IQR)2

Descriptive statistics

Standard deviation38.131751
Coefficient of variation (CV)9.0088709
Kurtosis953.87915
Mean4.2326892
Median Absolute Deviation (MAD)0
Skewness28.721936
Sum10514
Variance1454.0304
MonotonicityNot monotonic
2024-03-23T14:43:50.359686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1537
56.5%
1 303
 
11.1%
2 156
 
5.7%
3 73
 
2.7%
4 59
 
2.2%
7 48
 
1.8%
5 45
 
1.7%
8 33
 
1.2%
9 32
 
1.2%
6 31
 
1.1%
Other values (58) 167
 
6.1%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1537
56.5%
1 303
 
11.1%
2 156
 
5.7%
3 73
 
2.7%
4 59
 
2.2%
5 45
 
1.7%
6 31
 
1.1%
7 48
 
1.8%
8 33
 
1.2%
9 32
 
1.2%
ValueCountFrequency (%)
1426 1
< 0.1%
961 1
< 0.1%
525 1
< 0.1%
311 1
< 0.1%
222 1
< 0.1%
158 1
< 0.1%
149 1
< 0.1%
137 1
< 0.1%
125 1
< 0.1%
112 1
< 0.1%

2012-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.5%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.2411433
Minimum0
Maximum1393
Zeros1549
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:50.663043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1393
Range1393
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.903096
Coefficient of variation (CV)9.1727851
Kurtosis909.31333
Mean4.2411433
Median Absolute Deviation (MAD)0
Skewness28.267021
Sum10535
Variance1513.4509
MonotonicityNot monotonic
2024-03-23T14:43:50.944448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1549
57.0%
1 317
 
11.7%
2 127
 
4.7%
3 95
 
3.5%
5 58
 
2.1%
4 49
 
1.8%
6 40
 
1.5%
7 37
 
1.4%
8 31
 
1.1%
10 19
 
0.7%
Other values (51) 162
 
6.0%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1549
57.0%
1 317
 
11.7%
2 127
 
4.7%
3 95
 
3.5%
4 49
 
1.8%
5 58
 
2.1%
6 40
 
1.5%
7 37
 
1.4%
8 31
 
1.1%
9 18
 
0.7%
ValueCountFrequency (%)
1393 1
< 0.1%
1090 1
< 0.1%
489 1
< 0.1%
299 1
< 0.1%
192 1
< 0.1%
155 1
< 0.1%
145 1
< 0.1%
133 1
< 0.1%
124 1
< 0.1%
117 1
< 0.1%

2012-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct66
Distinct (%)2.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.1690821
Minimum0
Maximum1128
Zeros1579
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:51.248297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1128
Range1128
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.438619
Coefficient of variation (CV)8.5003407
Kurtosis556.60056
Mean4.1690821
Median Absolute Deviation (MAD)0
Skewness21.627397
Sum10356
Variance1255.8957
MonotonicityNot monotonic
2024-03-23T14:43:51.995178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1579
58.1%
1 310
 
11.4%
2 130
 
4.8%
3 85
 
3.1%
4 52
 
1.9%
5 51
 
1.9%
6 44
 
1.6%
7 41
 
1.5%
8 30
 
1.1%
9 21
 
0.8%
Other values (56) 141
 
5.2%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1579
58.1%
1 310
 
11.4%
2 130
 
4.8%
3 85
 
3.1%
4 52
 
1.9%
5 51
 
1.9%
6 44
 
1.6%
7 41
 
1.5%
8 30
 
1.1%
9 21
 
0.8%
ValueCountFrequency (%)
1128 1
< 0.1%
771 1
< 0.1%
527 1
< 0.1%
500 2
0.1%
458 1
< 0.1%
262 1
< 0.1%
205 1
< 0.1%
166 1
< 0.1%
111 1
< 0.1%
105 1
< 0.1%

2012-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)2.5%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean3.5346972
Minimum0
Maximum1137
Zeros1600
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:52.290105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1137
Range1137
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.858335
Coefficient of variation (CV)8.7301214
Kurtosis913.59407
Mean3.5346972
Median Absolute Deviation (MAD)0
Skewness28.067961
Sum8812
Variance952.23686
MonotonicityNot monotonic
2024-03-23T14:43:52.583997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1600
58.9%
1 309
 
11.4%
2 130
 
4.8%
3 72
 
2.6%
4 70
 
2.6%
5 51
 
1.9%
6 42
 
1.5%
7 32
 
1.2%
8 23
 
0.8%
9 20
 
0.7%
Other values (53) 144
 
5.3%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1600
58.9%
1 309
 
11.4%
2 130
 
4.8%
3 72
 
2.6%
4 70
 
2.6%
5 51
 
1.9%
6 42
 
1.5%
7 32
 
1.2%
8 23
 
0.8%
9 20
 
0.7%
ValueCountFrequency (%)
1137 1
< 0.1%
782 1
< 0.1%
459 1
< 0.1%
243 1
< 0.1%
161 1
< 0.1%
158 1
< 0.1%
142 1
< 0.1%
101 1
< 0.1%
93 1
< 0.1%
90 1
< 0.1%

2012-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct55
Distinct (%)2.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean3.0224629
Minimum0
Maximum970
Zeros1637
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:52.866156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum970
Range970
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.663039
Coefficient of variation (CV)8.8216265
Kurtosis867.87906
Mean3.0224629
Median Absolute Deviation (MAD)0
Skewness27.346859
Sum7535
Variance710.91763
MonotonicityNot monotonic
2024-03-23T14:43:53.186122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1637
60.2%
1 318
 
11.7%
2 134
 
4.9%
3 80
 
2.9%
4 62
 
2.3%
5 52
 
1.9%
6 38
 
1.4%
7 28
 
1.0%
11 13
 
0.5%
8 12
 
0.4%
Other values (45) 119
 
4.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1637
60.2%
1 318
 
11.7%
2 134
 
4.9%
3 80
 
2.9%
4 62
 
2.3%
5 52
 
1.9%
6 38
 
1.4%
7 28
 
1.0%
8 12
 
0.4%
9 11
 
0.4%
ValueCountFrequency (%)
970 1
< 0.1%
642 1
< 0.1%
477 1
< 0.1%
207 1
< 0.1%
136 1
< 0.1%
125 1
< 0.1%
107 1
< 0.1%
83 2
0.1%
82 1
< 0.1%
77 1
< 0.1%

2012-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct51
Distinct (%)2.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean2.5214601
Minimum0
Maximum799
Zeros1673
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:53.478270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum799
Range799
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.036433
Coefficient of variation (CV)8.7395525
Kurtosis880.7852
Mean2.5214601
Median Absolute Deviation (MAD)0
Skewness27.609995
Sum6286
Variance485.60437
MonotonicityNot monotonic
2024-03-23T14:43:53.759706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1673
61.6%
1 320
 
11.8%
2 124
 
4.6%
3 81
 
3.0%
4 62
 
2.3%
5 47
 
1.7%
6 33
 
1.2%
7 25
 
0.9%
8 21
 
0.8%
9 12
 
0.4%
Other values (41) 95
 
3.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1673
61.6%
1 320
 
11.8%
2 124
 
4.6%
3 81
 
3.0%
4 62
 
2.3%
5 47
 
1.7%
6 33
 
1.2%
7 25
 
0.9%
8 21
 
0.8%
9 12
 
0.4%
ValueCountFrequency (%)
799 1
< 0.1%
566 1
< 0.1%
341 1
< 0.1%
187 1
< 0.1%
127 1
< 0.1%
116 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%
71 2
0.1%
66 1
< 0.1%

2012-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct70
Distinct (%)2.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean4.3393502
Minimum0
Maximum1447
Zeros1536
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:54.040381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1447
Range1447
Interquartile range (IQR)2

Descriptive statistics

Standard deviation38.964583
Coefficient of variation (CV)8.979359
Kurtosis932.69789
Mean4.3393502
Median Absolute Deviation (MAD)0
Skewness28.41765
Sum10818
Variance1518.2387
MonotonicityNot monotonic
2024-03-23T14:43:54.296612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1536
56.5%
1 315
 
11.6%
2 128
 
4.7%
3 91
 
3.3%
5 61
 
2.2%
4 54
 
2.0%
8 36
 
1.3%
6 33
 
1.2%
7 32
 
1.2%
9 31
 
1.1%
Other values (60) 176
 
6.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1536
56.5%
1 315
 
11.6%
2 128
 
4.7%
3 91
 
3.3%
4 54
 
2.0%
5 61
 
2.2%
6 33
 
1.2%
7 32
 
1.2%
8 36
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
1447 1
< 0.1%
981 1
< 0.1%
569 1
< 0.1%
349 1
< 0.1%
223 1
< 0.1%
166 1
< 0.1%
141 1
< 0.1%
137 1
< 0.1%
133 1
< 0.1%
110 1
< 0.1%

2012-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct75
Distinct (%)3.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean4.9386282
Minimum0
Maximum1674
Zeros1518
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:54.597827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1674
Range1674
Interquartile range (IQR)2

Descriptive statistics

Standard deviation43.833103
Coefficient of variation (CV)8.8755626
Kurtosis974.57425
Mean4.9386282
Median Absolute Deviation (MAD)0
Skewness28.748508
Sum12312
Variance1921.3409
MonotonicityNot monotonic
2024-03-23T14:43:54.877058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1518
55.8%
1 307
 
11.3%
2 137
 
5.0%
3 80
 
2.9%
4 66
 
2.4%
5 47
 
1.7%
7 44
 
1.6%
6 36
 
1.3%
8 31
 
1.1%
10 24
 
0.9%
Other values (65) 203
 
7.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1518
55.8%
1 307
 
11.3%
2 137
 
5.0%
3 80
 
2.9%
4 66
 
2.4%
5 47
 
1.7%
6 36
 
1.3%
7 44
 
1.6%
8 31
 
1.1%
9 20
 
0.7%
ValueCountFrequency (%)
1674 1
< 0.1%
1009 1
< 0.1%
641 1
< 0.1%
392 1
< 0.1%
222 1
< 0.1%
218 1
< 0.1%
195 1
< 0.1%
172 1
< 0.1%
156 1
< 0.1%
138 1
< 0.1%

2012-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct97
Distinct (%)3.9%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean7.9073406
Minimum0
Maximum2679
Zeros1398
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:55.113271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile21.4
Maximum2679
Range2679
Interquartile range (IQR)3

Descriptive statistics

Standard deviation71.444097
Coefficient of variation (CV)9.0351613
Kurtosis944.5479
Mean7.9073406
Median Absolute Deviation (MAD)0
Skewness28.399184
Sum19713
Variance5104.2591
MonotonicityNot monotonic
2024-03-23T14:43:55.336483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1398
51.4%
1 324
 
11.9%
2 131
 
4.8%
3 78
 
2.9%
4 67
 
2.5%
6 56
 
2.1%
5 49
 
1.8%
7 32
 
1.2%
8 31
 
1.1%
9 31
 
1.1%
Other values (87) 296
 
10.9%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1398
51.4%
1 324
 
11.9%
2 131
 
4.8%
3 78
 
2.9%
4 67
 
2.5%
5 49
 
1.8%
6 56
 
2.1%
7 32
 
1.2%
8 31
 
1.1%
9 31
 
1.1%
ValueCountFrequency (%)
2679 1
< 0.1%
1756 1
< 0.1%
1000 1
< 0.1%
578 1
< 0.1%
349 1
< 0.1%
308 1
< 0.1%
294 1
< 0.1%
258 1
< 0.1%
254 1
< 0.1%
241 1
< 0.1%

2013-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct43
Distinct (%)1.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.5551544
Minimum0
Maximum493
Zeros1830
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:55.599756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum493
Range493
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.53501
Coefficient of variation (CV)8.7033221
Kurtosis876.84337
Mean1.5551544
Median Absolute Deviation (MAD)0
Skewness27.338858
Sum3877
Variance183.1965
MonotonicityNot monotonic
2024-03-23T14:43:55.845354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 1830
67.3%
1 295
 
10.9%
2 124
 
4.6%
3 72
 
2.6%
4 39
 
1.4%
5 30
 
1.1%
6 16
 
0.6%
9 12
 
0.4%
7 9
 
0.3%
8 7
 
0.3%
Other values (33) 59
 
2.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1830
67.3%
1 295
 
10.9%
2 124
 
4.6%
3 72
 
2.6%
4 39
 
1.4%
5 30
 
1.1%
6 16
 
0.6%
7 9
 
0.3%
8 7
 
0.3%
9 12
 
0.4%
ValueCountFrequency (%)
493 1
< 0.1%
341 1
< 0.1%
201 1
< 0.1%
101 1
< 0.1%
77 1
< 0.1%
74 1
< 0.1%
73 1
< 0.1%
56 1
< 0.1%
49 1
< 0.1%
48 1
< 0.1%

2013-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct60
Distinct (%)2.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean3.2226233
Minimum0
Maximum1148
Zeros1626
Zeros (%)59.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:56.056288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1148
Range1148
Interquartile range (IQR)1

Descriptive statistics

Standard deviation29.808615
Coefficient of variation (CV)9.2497981
Kurtosis1025.6764
Mean3.2226233
Median Absolute Deviation (MAD)0
Skewness29.772877
Sum8034
Variance888.55355
MonotonicityNot monotonic
2024-03-23T14:43:56.272825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1626
59.8%
1 304
 
11.2%
2 139
 
5.1%
3 73
 
2.7%
4 67
 
2.5%
5 48
 
1.8%
7 37
 
1.4%
6 31
 
1.1%
8 21
 
0.8%
9 20
 
0.7%
Other values (50) 127
 
4.7%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1626
59.8%
1 304
 
11.2%
2 139
 
5.1%
3 73
 
2.7%
4 67
 
2.5%
5 48
 
1.8%
6 31
 
1.1%
7 37
 
1.4%
8 21
 
0.8%
9 20
 
0.7%
ValueCountFrequency (%)
1148 1
< 0.1%
728 1
< 0.1%
374 1
< 0.1%
279 1
< 0.1%
138 1
< 0.1%
119 1
< 0.1%
105 1
< 0.1%
97 1
< 0.1%
84 2
0.1%
78 1
< 0.1%

2013-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)2.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean4.4873646
Minimum0
Maximum1551
Zeros1538
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:56.459707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1551
Range1551
Interquartile range (IQR)2

Descriptive statistics

Standard deviation40.92969
Coefficient of variation (CV)9.1210974
Kurtosis984.09105
Mean4.4873646
Median Absolute Deviation (MAD)0
Skewness29.160926
Sum11187
Variance1675.2395
MonotonicityNot monotonic
2024-03-23T14:43:56.685575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1538
56.6%
1 294
 
10.8%
2 144
 
5.3%
3 86
 
3.2%
4 55
 
2.0%
7 52
 
1.9%
5 50
 
1.8%
6 37
 
1.4%
8 24
 
0.9%
10 23
 
0.8%
Other values (59) 190
 
7.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1538
56.6%
1 294
 
10.8%
2 144
 
5.3%
3 86
 
3.2%
4 55
 
2.0%
5 50
 
1.8%
6 37
 
1.4%
7 52
 
1.9%
8 24
 
0.9%
9 20
 
0.7%
ValueCountFrequency (%)
1551 1
< 0.1%
1021 1
< 0.1%
524 1
< 0.1%
384 1
< 0.1%
216 1
< 0.1%
189 1
< 0.1%
163 1
< 0.1%
144 1
< 0.1%
128 1
< 0.1%
116 1
< 0.1%

2013-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct70
Distinct (%)2.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean5.3120738
Minimum0
Maximum1875
Zeros1504
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:56.918804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum1875
Range1875
Interquartile range (IQR)2

Descriptive statistics

Standard deviation48.956393
Coefficient of variation (CV)9.2160604
Kurtosis996.63696
Mean5.3120738
Median Absolute Deviation (MAD)0
Skewness29.246614
Sum13243
Variance2396.7284
MonotonicityNot monotonic
2024-03-23T14:43:57.217320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1504
55.3%
1 300
 
11.0%
2 136
 
5.0%
3 87
 
3.2%
5 58
 
2.1%
4 51
 
1.9%
6 33
 
1.2%
8 32
 
1.2%
7 28
 
1.0%
10 27
 
1.0%
Other values (60) 237
 
8.7%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1504
55.3%
1 300
 
11.0%
2 136
 
5.0%
3 87
 
3.2%
4 51
 
1.9%
5 58
 
2.1%
6 33
 
1.2%
7 28
 
1.0%
8 32
 
1.2%
9 27
 
1.0%
ValueCountFrequency (%)
1875 1
< 0.1%
1166 1
< 0.1%
646 1
< 0.1%
501 1
< 0.1%
268 1
< 0.1%
228 1
< 0.1%
185 1
< 0.1%
173 1
< 0.1%
154 1
< 0.1%
140 2
0.1%

2013-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean6.2402728
Minimum0
Maximum2166
Zeros1464
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:57.480203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2166
Range2166
Interquartile range (IQR)2

Descriptive statistics

Standard deviation56.569178
Coefficient of variation (CV)9.0651771
Kurtosis991.92648
Mean6.2402728
Median Absolute Deviation (MAD)0
Skewness29.110748
Sum15557
Variance3200.0719
MonotonicityNot monotonic
2024-03-23T14:43:57.771706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1464
53.9%
1 315
 
11.6%
2 135
 
5.0%
3 79
 
2.9%
4 57
 
2.1%
5 56
 
2.1%
6 33
 
1.2%
8 32
 
1.2%
12 26
 
1.0%
7 25
 
0.9%
Other values (70) 271
 
10.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1464
53.9%
1 315
 
11.6%
2 135
 
5.0%
3 79
 
2.9%
4 57
 
2.1%
5 56
 
2.1%
6 33
 
1.2%
7 25
 
0.9%
8 32
 
1.2%
9 22
 
0.8%
ValueCountFrequency (%)
2166 1
< 0.1%
1338 1
< 0.1%
753 1
< 0.1%
556 1
< 0.1%
320 1
< 0.1%
267 1
< 0.1%
219 1
< 0.1%
193 1
< 0.1%
181 1
< 0.1%
180 1
< 0.1%

2013-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct107
Distinct (%)4.3%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.7139992
Minimum0
Maximum3321
Zeros1370
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:58.019820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile27
Maximum3321
Range3321
Interquartile range (IQR)3

Descriptive statistics

Standard deviation86.26523
Coefficient of variation (CV)8.8805061
Kurtosis986.87907
Mean9.7139992
Median Absolute Deviation (MAD)0
Skewness28.755064
Sum24217
Variance7441.6898
MonotonicityNot monotonic
2024-03-23T14:43:58.275872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1370
50.4%
1 265
 
9.7%
2 157
 
5.8%
3 99
 
3.6%
4 66
 
2.4%
5 54
 
2.0%
7 43
 
1.6%
6 35
 
1.3%
8 34
 
1.3%
9 22
 
0.8%
Other values (97) 348
 
12.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1370
50.4%
1 265
 
9.7%
2 157
 
5.8%
3 99
 
3.6%
4 66
 
2.4%
5 54
 
2.0%
6 35
 
1.3%
7 43
 
1.6%
8 34
 
1.3%
9 22
 
0.8%
ValueCountFrequency (%)
3321 1
< 0.1%
1928 1
< 0.1%
1208 1
< 0.1%
752 1
< 0.1%
407 1
< 0.1%
398 1
< 0.1%
369 1
< 0.1%
361 1
< 0.1%
360 1
< 0.1%
357 1
< 0.1%

2013-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct50
Distinct (%)2.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean2.316085
Minimum0
Maximum794
Zeros1725
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:58.476924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum794
Range794
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.317941
Coefficient of variation (CV)9.2042999
Kurtosis966.61258
Mean2.316085
Median Absolute Deviation (MAD)0
Skewness29.043922
Sum5774
Variance454.45462
MonotonicityNot monotonic
2024-03-23T14:43:59.307031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1725
63.5%
1 274
 
10.1%
2 133
 
4.9%
3 88
 
3.2%
4 66
 
2.4%
5 39
 
1.4%
6 30
 
1.1%
7 25
 
0.9%
8 15
 
0.6%
9 14
 
0.5%
Other values (40) 84
 
3.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1725
63.5%
1 274
 
10.1%
2 133
 
4.9%
3 88
 
3.2%
4 66
 
2.4%
5 39
 
1.4%
6 30
 
1.1%
7 25
 
0.9%
8 15
 
0.6%
9 14
 
0.5%
ValueCountFrequency (%)
794 1
< 0.1%
564 1
< 0.1%
247 1
< 0.1%
197 1
< 0.1%
128 1
< 0.1%
86 1
< 0.1%
84 1
< 0.1%
72 1
< 0.1%
64 1
< 0.1%
63 1
< 0.1%

2013-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct56
Distinct (%)2.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean2.915363
Minimum0
Maximum1036
Zeros1674
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:59.614941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1036
Range1036
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.195189
Coefficient of variation (CV)9.3282342
Kurtosis999.79236
Mean2.915363
Median Absolute Deviation (MAD)0
Skewness29.411536
Sum7268
Variance739.57831
MonotonicityNot monotonic
2024-03-23T14:43:59.805266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1674
61.6%
1 294
 
10.8%
2 120
 
4.4%
3 69
 
2.5%
4 66
 
2.4%
5 48
 
1.8%
6 31
 
1.1%
7 28
 
1.0%
9 25
 
0.9%
8 19
 
0.7%
Other values (46) 119
 
4.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1674
61.6%
1 294
 
10.8%
2 120
 
4.4%
3 69
 
2.5%
4 66
 
2.4%
5 48
 
1.8%
6 31
 
1.1%
7 28
 
1.0%
8 19
 
0.7%
9 25
 
0.9%
ValueCountFrequency (%)
1036 1
< 0.1%
678 1
< 0.1%
323 1
< 0.1%
270 1
< 0.1%
169 1
< 0.1%
106 1
< 0.1%
103 1
< 0.1%
102 1
< 0.1%
79 1
< 0.1%
77 1
< 0.1%

2013-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct62
Distinct (%)2.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.8169464
Minimum0
Maximum1324
Zeros1599
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:43:59.978743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1324
Range1324
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.227871
Coefficient of variation (CV)9.2293332
Kurtosis947.48324
Mean3.8169464
Median Absolute Deviation (MAD)0
Skewness28.52374
Sum9550
Variance1241.0029
MonotonicityNot monotonic
2024-03-23T14:44:00.324440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1599
58.8%
1 306
 
11.3%
2 131
 
4.8%
3 67
 
2.5%
4 65
 
2.4%
5 52
 
1.9%
7 38
 
1.4%
6 31
 
1.1%
8 29
 
1.1%
11 21
 
0.8%
Other values (52) 163
 
6.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1599
58.8%
1 306
 
11.3%
2 131
 
4.8%
3 67
 
2.5%
4 65
 
2.4%
5 52
 
1.9%
6 31
 
1.1%
7 38
 
1.4%
8 29
 
1.1%
9 20
 
0.7%
ValueCountFrequency (%)
1324 1
< 0.1%
863 1
< 0.1%
463 1
< 0.1%
375 1
< 0.1%
261 1
< 0.1%
162 1
< 0.1%
147 1
< 0.1%
143 1
< 0.1%
98 1
< 0.1%
97 1
< 0.1%

2013-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean6.4556759
Minimum0
Maximum2287
Zeros1477
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:00.561703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum2287
Range2287
Interquartile range (IQR)2

Descriptive statistics

Standard deviation59.915893
Coefficient of variation (CV)9.2811185
Kurtosis970.59482
Mean6.4556759
Median Absolute Deviation (MAD)0
Skewness28.751963
Sum16094
Variance3589.9143
MonotonicityNot monotonic
2024-03-23T14:44:00.794760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1477
54.3%
1 290
 
10.7%
2 135
 
5.0%
3 92
 
3.4%
4 54
 
2.0%
5 43
 
1.6%
6 40
 
1.5%
7 29
 
1.1%
9 25
 
0.9%
11 25
 
0.9%
Other values (70) 283
 
10.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1477
54.3%
1 290
 
10.7%
2 135
 
5.0%
3 92
 
3.4%
4 54
 
2.0%
5 43
 
1.6%
6 40
 
1.5%
7 29
 
1.1%
8 23
 
0.8%
9 25
 
0.9%
ValueCountFrequency (%)
2287 1
< 0.1%
1368 1
< 0.1%
807 1
< 0.1%
717 1
< 0.1%
391 1
< 0.1%
309 1
< 0.1%
286 1
< 0.1%
202 1
< 0.1%
167 1
< 0.1%
157 1
< 0.1%

2013-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct81
Distinct (%)3.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean6.0613718
Minimum0
Maximum2154
Zeros1491
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:01.029023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2154
Range2154
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.946638
Coefficient of variation (CV)9.2300291
Kurtosis992.13493
Mean6.0613718
Median Absolute Deviation (MAD)0
Skewness29.039079
Sum15111
Variance3130.0263
MonotonicityNot monotonic
2024-03-23T14:44:01.269733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1491
54.9%
1 283
 
10.4%
2 138
 
5.1%
3 77
 
2.8%
4 64
 
2.4%
5 44
 
1.6%
6 36
 
1.3%
7 34
 
1.3%
9 30
 
1.1%
8 26
 
1.0%
Other values (71) 270
 
9.9%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1491
54.9%
1 283
 
10.4%
2 138
 
5.1%
3 77
 
2.8%
4 64
 
2.4%
5 44
 
1.6%
6 36
 
1.3%
7 34
 
1.3%
8 26
 
1.0%
9 30
 
1.1%
ValueCountFrequency (%)
2154 1
< 0.1%
1253 1
< 0.1%
772 1
< 0.1%
641 1
< 0.1%
345 1
< 0.1%
286 1
< 0.1%
251 1
< 0.1%
190 1
< 0.1%
177 1
< 0.1%
153 1
< 0.1%

2013-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct86
Distinct (%)3.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean6.5980746
Minimum0
Maximum2265
Zeros1456
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:01.544327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2265
Range2265
Interquartile range (IQR)2

Descriptive statistics

Standard deviation60.030855
Coefficient of variation (CV)9.0982383
Kurtosis959.31131
Mean6.5980746
Median Absolute Deviation (MAD)0
Skewness28.717589
Sum16449
Variance3603.7036
MonotonicityNot monotonic
2024-03-23T14:44:01.909256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1456
53.6%
1 297
 
10.9%
2 131
 
4.8%
3 84
 
3.1%
4 57
 
2.1%
5 46
 
1.7%
6 42
 
1.5%
7 35
 
1.3%
8 27
 
1.0%
13 27
 
1.0%
Other values (76) 291
 
10.7%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1456
53.6%
1 297
 
10.9%
2 131
 
4.8%
3 84
 
3.1%
4 57
 
2.1%
5 46
 
1.7%
6 42
 
1.5%
7 35
 
1.3%
8 27
 
1.0%
9 25
 
0.9%
ValueCountFrequency (%)
2265 1
< 0.1%
1458 1
< 0.1%
827 1
< 0.1%
615 1
< 0.1%
331 1
< 0.1%
270 1
< 0.1%
251 1
< 0.1%
209 1
< 0.1%
208 1
< 0.1%
185 1
< 0.1%

2014-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.6%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.3357753
Minimum0
Maximum1390
Zeros1500
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:02.187268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1390
Range1390
Interquartile range (IQR)2

Descriptive statistics

Standard deviation37.156932
Coefficient of variation (CV)8.5698472
Kurtosis902.23449
Mean4.3357753
Median Absolute Deviation (MAD)0
Skewness27.536056
Sum10653
Variance1380.6376
MonotonicityNot monotonic
2024-03-23T14:44:02.506349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1500
55.2%
1 303
 
11.1%
2 127
 
4.7%
3 94
 
3.5%
5 60
 
2.2%
4 58
 
2.1%
6 44
 
1.6%
9 35
 
1.3%
8 30
 
1.1%
7 28
 
1.0%
Other values (55) 178
 
6.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1500
55.2%
1 303
 
11.1%
2 127
 
4.7%
3 94
 
3.5%
4 58
 
2.1%
5 60
 
2.2%
6 44
 
1.6%
7 28
 
1.0%
8 30
 
1.1%
9 35
 
1.3%
ValueCountFrequency (%)
1390 1
< 0.1%
776 1
< 0.1%
633 1
< 0.1%
398 1
< 0.1%
203 1
< 0.1%
198 2
0.1%
187 1
< 0.1%
103 1
< 0.1%
95 2
0.1%
93 1
< 0.1%

2014-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing243
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean5.9244444
Minimum0
Maximum1949
Zeros1444
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:02.863093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17.3
Maximum1949
Range1949
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.928978
Coefficient of variation (CV)8.7652064
Kurtosis929.8177
Mean5.9244444
Median Absolute Deviation (MAD)0
Skewness28.115572
Sum14663
Variance2696.6188
MonotonicityNot monotonic
2024-03-23T14:44:03.080554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1444
53.1%
1 291
 
10.7%
2 147
 
5.4%
3 86
 
3.2%
4 60
 
2.2%
5 59
 
2.2%
6 46
 
1.7%
8 29
 
1.1%
9 27
 
1.0%
7 24
 
0.9%
Other values (70) 262
 
9.6%
(Missing) 243
 
8.9%
ValueCountFrequency (%)
0 1444
53.1%
1 291
 
10.7%
2 147
 
5.4%
3 86
 
3.2%
4 60
 
2.2%
5 59
 
2.2%
6 46
 
1.7%
7 24
 
0.9%
8 29
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
1949 1
< 0.1%
1202 1
< 0.1%
771 1
< 0.1%
532 1
< 0.1%
303 1
< 0.1%
266 1
< 0.1%
255 1
< 0.1%
213 1
< 0.1%
147 1
< 0.1%
143 1
< 0.1%

2014-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)3.1%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean6.3458132
Minimum0
Maximum2154
Zeros1433
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:03.337739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2154
Range2154
Interquartile range (IQR)2

Descriptive statistics

Standard deviation57.294408
Coefficient of variation (CV)9.0286944
Kurtosis935.64158
Mean6.3458132
Median Absolute Deviation (MAD)0
Skewness28.235102
Sum15763
Variance3282.6492
MonotonicityNot monotonic
2024-03-23T14:44:03.567545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1433
52.7%
1 323
 
11.9%
2 135
 
5.0%
3 82
 
3.0%
4 60
 
2.2%
5 39
 
1.4%
6 39
 
1.4%
7 37
 
1.4%
8 33
 
1.2%
9 27
 
1.0%
Other values (67) 276
 
10.2%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1433
52.7%
1 323
 
11.9%
2 135
 
5.0%
3 82
 
3.0%
4 60
 
2.2%
5 39
 
1.4%
6 39
 
1.4%
7 37
 
1.4%
8 33
 
1.2%
9 27
 
1.0%
ValueCountFrequency (%)
2154 1
< 0.1%
1344 1
< 0.1%
793 1
< 0.1%
632 1
< 0.1%
385 1
< 0.1%
333 1
< 0.1%
267 1
< 0.1%
210 1
< 0.1%
176 1
< 0.1%
169 1
< 0.1%

2014-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct81
Distinct (%)3.3%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean6.4770531
Minimum0
Maximum2200
Zeros1428
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:03.803435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18.85
Maximum2200
Range2200
Interquartile range (IQR)2

Descriptive statistics

Standard deviation57.796404
Coefficient of variation (CV)8.9232562
Kurtosis965.48801
Mean6.4770531
Median Absolute Deviation (MAD)0
Skewness28.622043
Sum16089
Variance3340.4244
MonotonicityNot monotonic
2024-03-23T14:44:04.038267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1428
52.5%
1 308
 
11.3%
2 143
 
5.3%
3 82
 
3.0%
4 64
 
2.4%
5 46
 
1.7%
6 42
 
1.5%
7 28
 
1.0%
8 27
 
1.0%
10 26
 
1.0%
Other values (71) 290
 
10.7%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1428
52.5%
1 308
 
11.3%
2 143
 
5.3%
3 82
 
3.0%
4 64
 
2.4%
5 46
 
1.7%
6 42
 
1.5%
7 28
 
1.0%
8 27
 
1.0%
9 24
 
0.9%
ValueCountFrequency (%)
2200 1
< 0.1%
1329 1
< 0.1%
804 1
< 0.1%
597 1
< 0.1%
349 1
< 0.1%
303 1
< 0.1%
246 1
< 0.1%
220 1
< 0.1%
196 1
< 0.1%
178 1
< 0.1%

2014-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)2.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.0571659
Minimum0
Maximum1736
Zeros1472
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:04.342974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1736
Range1736
Interquartile range (IQR)2

Descriptive statistics

Standard deviation45.726304
Coefficient of variation (CV)9.0418833
Kurtosis957.02799
Mean5.0571659
Median Absolute Deviation (MAD)0
Skewness28.551829
Sum12562
Variance2090.8948
MonotonicityNot monotonic
2024-03-23T14:44:04.584247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1472
54.2%
1 330
 
12.1%
2 128
 
4.7%
3 92
 
3.4%
5 56
 
2.1%
4 53
 
1.9%
6 35
 
1.3%
7 33
 
1.2%
11 32
 
1.2%
8 31
 
1.1%
Other values (57) 222
 
8.2%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1472
54.2%
1 330
 
12.1%
2 128
 
4.7%
3 92
 
3.4%
4 53
 
1.9%
5 56
 
2.1%
6 35
 
1.3%
7 33
 
1.2%
8 31
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
1736 1
< 0.1%
1036 1
< 0.1%
702 1
< 0.1%
459 1
< 0.1%
261 1
< 0.1%
218 2
0.1%
178 1
< 0.1%
169 1
< 0.1%
142 1
< 0.1%
124 1
< 0.1%

2014-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct72
Distinct (%)2.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean4.7137681
Minimum0
Maximum1582
Zeros1515
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:04.891495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1582
Range1582
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.214913
Coefficient of variation (CV)8.9556618
Kurtosis935.23574
Mean4.7137681
Median Absolute Deviation (MAD)0
Skewness28.315304
Sum11709
Variance1782.0989
MonotonicityNot monotonic
2024-03-23T14:44:05.183017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1515
55.7%
1 302
 
11.1%
2 126
 
4.6%
3 89
 
3.3%
4 67
 
2.5%
5 49
 
1.8%
7 33
 
1.2%
9 32
 
1.2%
10 32
 
1.2%
6 31
 
1.1%
Other values (62) 208
 
7.7%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1515
55.7%
1 302
 
11.1%
2 126
 
4.6%
3 89
 
3.3%
4 67
 
2.5%
5 49
 
1.8%
6 31
 
1.1%
7 33
 
1.2%
8 29
 
1.1%
9 32
 
1.2%
ValueCountFrequency (%)
1582 1
< 0.1%
1002 1
< 0.1%
649 1
< 0.1%
395 1
< 0.1%
223 1
< 0.1%
188 1
< 0.1%
186 1
< 0.1%
177 1
< 0.1%
149 1
< 0.1%
138 1
< 0.1%

2014-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)2.9%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean5.0942639
Minimum0
Maximum1784
Zeros1489
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:05.389324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1784
Range1784
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.220799
Coefficient of variation (CV)9.0731065
Kurtosis1003.3515
Mean5.0942639
Median Absolute Deviation (MAD)0
Skewness29.228082
Sum12700
Variance2136.3623
MonotonicityNot monotonic
2024-03-23T14:44:05.599016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1489
54.8%
1 319
 
11.7%
2 129
 
4.7%
3 85
 
3.1%
5 62
 
2.3%
4 58
 
2.1%
9 38
 
1.4%
6 36
 
1.3%
7 28
 
1.0%
8 26
 
1.0%
Other values (63) 223
 
8.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1489
54.8%
1 319
 
11.7%
2 129
 
4.7%
3 85
 
3.1%
4 58
 
2.1%
5 62
 
2.3%
6 36
 
1.3%
7 28
 
1.0%
8 26
 
1.0%
9 38
 
1.4%
ValueCountFrequency (%)
1784 1
< 0.1%
1040 1
< 0.1%
683 1
< 0.1%
442 1
< 0.1%
246 1
< 0.1%
214 1
< 0.1%
204 1
< 0.1%
178 1
< 0.1%
147 1
< 0.1%
135 1
< 0.1%

2014-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)2.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean5.2017649
Minimum0
Maximum1770
Zeros1505
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:05.811972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1770
Range1770
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.908724
Coefficient of variation (CV)9.0178477
Kurtosis943.50739
Mean5.2017649
Median Absolute Deviation (MAD)0
Skewness28.379153
Sum12968
Variance2200.4284
MonotonicityNot monotonic
2024-03-23T14:44:06.043943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1505
55.4%
1 306
 
11.3%
2 123
 
4.5%
3 81
 
3.0%
4 62
 
2.3%
5 51
 
1.9%
7 38
 
1.4%
8 34
 
1.3%
6 33
 
1.2%
10 32
 
1.2%
Other values (61) 228
 
8.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1505
55.4%
1 306
 
11.3%
2 123
 
4.5%
3 81
 
3.0%
4 62
 
2.3%
5 51
 
1.9%
6 33
 
1.2%
7 38
 
1.4%
8 34
 
1.3%
9 21
 
0.8%
ValueCountFrequency (%)
1770 1
< 0.1%
1089 1
< 0.1%
711 1
< 0.1%
484 1
< 0.1%
276 1
< 0.1%
235 1
< 0.1%
200 1
< 0.1%
186 1
< 0.1%
143 1
< 0.1%
142 1
< 0.1%

2014-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean6.0385078
Minimum0
Maximum2055
Zeros1471
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:06.284454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2055
Range2055
Interquartile range (IQR)2

Descriptive statistics

Standard deviation54.992938
Coefficient of variation (CV)9.107041
Kurtosis915.08431
Mean6.0385078
Median Absolute Deviation (MAD)0
Skewness27.924116
Sum15054
Variance3024.2232
MonotonicityNot monotonic
2024-03-23T14:44:07.196676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1471
54.1%
1 317
 
11.7%
2 117
 
4.3%
3 85
 
3.1%
4 62
 
2.3%
6 42
 
1.5%
5 39
 
1.4%
7 36
 
1.3%
8 30
 
1.1%
9 28
 
1.0%
Other values (70) 266
 
9.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1471
54.1%
1 317
 
11.7%
2 117
 
4.3%
3 85
 
3.1%
4 62
 
2.3%
5 39
 
1.4%
6 42
 
1.5%
7 36
 
1.3%
8 30
 
1.1%
9 28
 
1.0%
ValueCountFrequency (%)
2055 1
< 0.1%
1280 1
< 0.1%
823 1
< 0.1%
614 1
< 0.1%
353 1
< 0.1%
313 1
< 0.1%
264 1
< 0.1%
215 1
< 0.1%
172 1
< 0.1%
162 1
< 0.1%

2014-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct96
Distinct (%)3.9%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.117128
Minimum0
Maximum2598
Zeros1392
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:07.504246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile24
Maximum2598
Range2598
Interquartile range (IQR)3

Descriptive statistics

Standard deviation77.457377
Coefficient of variation (CV)8.4958089
Kurtosis622.9824
Mean9.117128
Median Absolute Deviation (MAD)0
Skewness22.604017
Sum22729
Variance5999.6452
MonotonicityNot monotonic
2024-03-23T14:44:07.791440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1392
51.2%
1 308
 
11.3%
2 128
 
4.7%
3 79
 
2.9%
4 62
 
2.3%
5 56
 
2.1%
6 39
 
1.4%
7 36
 
1.3%
9 30
 
1.1%
8 30
 
1.1%
Other values (86) 333
 
12.3%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1392
51.2%
1 308
 
11.3%
2 128
 
4.7%
3 79
 
2.9%
4 62
 
2.3%
5 56
 
2.1%
6 39
 
1.4%
7 36
 
1.3%
8 30
 
1.1%
9 30
 
1.1%
ValueCountFrequency (%)
2598 1
< 0.1%
1596 1
< 0.1%
1193 1
< 0.1%
1091 1
< 0.1%
850 1
< 0.1%
848 1
< 0.1%
774 1
< 0.1%
447 1
< 0.1%
378 1
< 0.1%
354 1
< 0.1%

2014-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct85
Distinct (%)3.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean6.3377457
Minimum0
Maximum2231
Zeros1445
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:08.030314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2231
Range2231
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.047137
Coefficient of variation (CV)9.1589565
Kurtosis981.62638
Mean6.3377457
Median Absolute Deviation (MAD)0
Skewness28.842396
Sum15800
Variance3369.4702
MonotonicityNot monotonic
2024-03-23T14:44:08.266983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1445
53.2%
1 311
 
11.4%
2 126
 
4.6%
3 76
 
2.8%
4 70
 
2.6%
5 64
 
2.4%
7 35
 
1.3%
6 33
 
1.2%
12 27
 
1.0%
9 26
 
1.0%
Other values (75) 280
 
10.3%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1445
53.2%
1 311
 
11.4%
2 126
 
4.6%
3 76
 
2.8%
4 70
 
2.6%
5 64
 
2.4%
6 33
 
1.2%
7 35
 
1.3%
8 26
 
1.0%
9 26
 
1.0%
ValueCountFrequency (%)
2231 1
< 0.1%
1268 1
< 0.1%
881 1
< 0.1%
627 1
< 0.1%
331 1
< 0.1%
301 1
< 0.1%
247 1
< 0.1%
237 1
< 0.1%
201 1
< 0.1%
171 1
< 0.1%

2014-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean6.1973526
Minimum0
Maximum2155
Zeros1453
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:08.519245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum2155
Range2155
Interquartile range (IQR)2

Descriptive statistics

Standard deviation57.109631
Coefficient of variation (CV)9.2151658
Kurtosis963.85523
Mean6.1973526
Median Absolute Deviation (MAD)0
Skewness28.755787
Sum15450
Variance3261.51
MonotonicityNot monotonic
2024-03-23T14:44:08.766082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1453
53.5%
1 327
 
12.0%
2 135
 
5.0%
3 86
 
3.2%
4 61
 
2.2%
5 53
 
1.9%
6 33
 
1.2%
8 31
 
1.1%
9 31
 
1.1%
7 30
 
1.1%
Other values (70) 253
 
9.3%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1453
53.5%
1 327
 
12.0%
2 135
 
5.0%
3 86
 
3.2%
4 61
 
2.2%
5 53
 
1.9%
6 33
 
1.2%
7 30
 
1.1%
8 31
 
1.1%
9 31
 
1.1%
ValueCountFrequency (%)
2155 1
< 0.1%
1406 1
< 0.1%
739 1
< 0.1%
571 1
< 0.1%
268 1
< 0.1%
239 1
< 0.1%
214 1
< 0.1%
212 1
< 0.1%
210 1
< 0.1%
201 1
< 0.1%

2015-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean5.4452467
Minimum0
Maximum1936
Zeros1495
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:09.136913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1936
Range1936
Interquartile range (IQR)2

Descriptive statistics

Standard deviation50.657181
Coefficient of variation (CV)9.3030094
Kurtosis985.02986
Mean5.4452467
Median Absolute Deviation (MAD)0
Skewness29.019873
Sum13575
Variance2566.15
MonotonicityNot monotonic
2024-03-23T14:44:09.472147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1495
55.0%
1 305
 
11.2%
2 134
 
4.9%
3 80
 
2.9%
4 64
 
2.4%
5 53
 
1.9%
6 41
 
1.5%
9 33
 
1.2%
8 31
 
1.1%
7 30
 
1.1%
Other values (66) 227
 
8.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1495
55.0%
1 305
 
11.2%
2 134
 
4.9%
3 80
 
2.9%
4 64
 
2.4%
5 53
 
1.9%
6 41
 
1.5%
7 30
 
1.1%
8 31
 
1.1%
9 33
 
1.2%
ValueCountFrequency (%)
1936 1
< 0.1%
1193 1
< 0.1%
675 1
< 0.1%
537 1
< 0.1%
275 1
< 0.1%
237 1
< 0.1%
202 1
< 0.1%
187 1
< 0.1%
181 1
< 0.1%
176 1
< 0.1%

2015-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean5.5451264
Minimum0
Maximum2005
Zeros1482
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:09.744424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum2005
Range2005
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.740409
Coefficient of variation (CV)9.3307899
Kurtosis1012.9151
Mean5.5451264
Median Absolute Deviation (MAD)0
Skewness29.350951
Sum13824
Variance2677.0699
MonotonicityNot monotonic
2024-03-23T14:44:10.186792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1482
54.5%
1 321
 
11.8%
2 119
 
4.4%
3 82
 
3.0%
4 67
 
2.5%
6 48
 
1.8%
5 46
 
1.7%
7 37
 
1.4%
10 24
 
0.9%
9 23
 
0.8%
Other values (68) 244
 
9.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1482
54.5%
1 321
 
11.8%
2 119
 
4.4%
3 82
 
3.0%
4 67
 
2.5%
5 46
 
1.7%
6 48
 
1.8%
7 37
 
1.4%
8 20
 
0.7%
9 23
 
0.8%
ValueCountFrequency (%)
2005 1
< 0.1%
1158 1
< 0.1%
703 1
< 0.1%
564 1
< 0.1%
300 1
< 0.1%
295 1
< 0.1%
205 1
< 0.1%
170 1
< 0.1%
168 1
< 0.1%
164 1
< 0.1%

2015-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct84
Distinct (%)3.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean7.5780185
Minimum0
Maximum2720
Zeros1396
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:10.449565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile22
Maximum2720
Range2720
Interquartile range (IQR)3

Descriptive statistics

Standard deviation71.100939
Coefficient of variation (CV)9.3825239
Kurtosis978.27439
Mean7.5780185
Median Absolute Deviation (MAD)0
Skewness28.856469
Sum18892
Variance5055.3435
MonotonicityNot monotonic
2024-03-23T14:44:10.686501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1396
51.4%
1 324
 
11.9%
2 138
 
5.1%
3 72
 
2.6%
4 63
 
2.3%
5 53
 
1.9%
6 42
 
1.5%
7 40
 
1.5%
10 32
 
1.2%
9 25
 
0.9%
Other values (74) 308
 
11.3%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1396
51.4%
1 324
 
11.9%
2 138
 
5.1%
3 72
 
2.6%
4 63
 
2.3%
5 53
 
1.9%
6 42
 
1.5%
7 40
 
1.5%
8 24
 
0.9%
9 25
 
0.9%
ValueCountFrequency (%)
2720 1
< 0.1%
1633 1
< 0.1%
936 1
< 0.1%
794 1
< 0.1%
487 1
< 0.1%
443 1
< 0.1%
314 1
< 0.1%
247 1
< 0.1%
226 1
< 0.1%
210 1
< 0.1%

2015-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct89
Distinct (%)3.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.9760192
Minimum0
Maximum2879
Zeros1369
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:10.947785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile24
Maximum2879
Range2879
Interquartile range (IQR)3

Descriptive statistics

Standard deviation75.162738
Coefficient of variation (CV)9.4235905
Kurtosis977.09477
Mean7.9760192
Median Absolute Deviation (MAD)0
Skewness28.819703
Sum19956
Variance5649.4372
MonotonicityNot monotonic
2024-03-23T14:44:11.185647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1369
50.4%
1 350
 
12.9%
2 135
 
5.0%
3 78
 
2.9%
4 64
 
2.4%
5 45
 
1.7%
6 38
 
1.4%
7 35
 
1.3%
8 30
 
1.1%
9 29
 
1.1%
Other values (79) 329
 
12.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1369
50.4%
1 350
 
12.9%
2 135
 
5.0%
3 78
 
2.9%
4 64
 
2.4%
5 45
 
1.7%
6 38
 
1.4%
7 35
 
1.3%
8 30
 
1.1%
9 29
 
1.1%
ValueCountFrequency (%)
2879 1
< 0.1%
1713 1
< 0.1%
992 1
< 0.1%
878 1
< 0.1%
521 1
< 0.1%
470 1
< 0.1%
330 1
< 0.1%
257 1
< 0.1%
238 2
0.1%
197 1
< 0.1%

2015-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct83
Distinct (%)3.3%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.1778577
Minimum0
Maximum2556
Zeros1411
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:11.465409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile22
Maximum2556
Range2556
Interquartile range (IQR)3

Descriptive statistics

Standard deviation66.907791
Coefficient of variation (CV)9.321415
Kurtosis962.82269
Mean7.1778577
Median Absolute Deviation (MAD)0
Skewness28.550101
Sum17959
Variance4476.6525
MonotonicityNot monotonic
2024-03-23T14:44:11.715950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1411
51.9%
1 326
 
12.0%
2 133
 
4.9%
3 93
 
3.4%
4 52
 
1.9%
5 47
 
1.7%
7 41
 
1.5%
6 38
 
1.4%
8 31
 
1.1%
10 26
 
1.0%
Other values (73) 304
 
11.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1411
51.9%
1 326
 
12.0%
2 133
 
4.9%
3 93
 
3.4%
4 52
 
1.9%
5 47
 
1.7%
6 38
 
1.4%
7 41
 
1.5%
8 31
 
1.1%
9 25
 
0.9%
ValueCountFrequency (%)
2556 1
< 0.1%
1491 1
< 0.1%
966 1
< 0.1%
752 1
< 0.1%
458 1
< 0.1%
402 1
< 0.1%
324 1
< 0.1%
235 1
< 0.1%
230 1
< 0.1%
223 1
< 0.1%

2015-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct89
Distinct (%)3.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.9528377
Minimum0
Maximum2430
Zeros1422
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:12.001601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile21
Maximum2430
Range2430
Interquartile range (IQR)3

Descriptive statistics

Standard deviation64.07597
Coefficient of variation (CV)9.2158011
Kurtosis948.29073
Mean6.9528377
Median Absolute Deviation (MAD)0
Skewness28.367009
Sum17396
Variance4105.7299
MonotonicityNot monotonic
2024-03-23T14:44:12.330591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1422
52.3%
1 310
 
11.4%
2 140
 
5.2%
3 89
 
3.3%
4 58
 
2.1%
5 56
 
2.1%
6 35
 
1.3%
9 33
 
1.2%
8 32
 
1.2%
7 30
 
1.1%
Other values (79) 297
 
10.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1422
52.3%
1 310
 
11.4%
2 140
 
5.2%
3 89
 
3.3%
4 58
 
2.1%
5 56
 
2.1%
6 35
 
1.3%
7 30
 
1.1%
8 32
 
1.2%
9 33
 
1.2%
ValueCountFrequency (%)
2430 1
< 0.1%
1467 1
< 0.1%
922 1
< 0.1%
692 1
< 0.1%
422 1
< 0.1%
396 1
< 0.1%
327 1
< 0.1%
252 1
< 0.1%
229 1
< 0.1%
203 1
< 0.1%

2015-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct86
Distinct (%)3.4%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean7.1209964
Minimum0
Maximum2445
Zeros1424
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:12.668730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile21
Maximum2445
Range2445
Interquartile range (IQR)2

Descriptive statistics

Standard deviation65.302682
Coefficient of variation (CV)9.1704416
Kurtosis917.43778
Mean7.1209964
Median Absolute Deviation (MAD)0
Skewness27.937457
Sum18009
Variance4264.4403
MonotonicityNot monotonic
2024-03-23T14:44:12.930565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1424
52.4%
1 349
 
12.8%
2 132
 
4.9%
3 90
 
3.3%
4 55
 
2.0%
5 47
 
1.7%
8 42
 
1.5%
6 37
 
1.4%
7 35
 
1.3%
10 21
 
0.8%
Other values (76) 297
 
10.9%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1424
52.4%
1 349
 
12.8%
2 132
 
4.9%
3 90
 
3.3%
4 55
 
2.0%
5 47
 
1.7%
6 37
 
1.4%
7 35
 
1.3%
8 42
 
1.5%
9 19
 
0.7%
ValueCountFrequency (%)
2445 1
< 0.1%
1555 1
< 0.1%
966 1
< 0.1%
695 1
< 0.1%
443 1
< 0.1%
382 1
< 0.1%
337 1
< 0.1%
299 1
< 0.1%
222 1
< 0.1%
219 1
< 0.1%

2015-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct83
Distinct (%)3.3%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean6.0553578
Minimum0
Maximum2084
Zeros1487
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:13.305232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2084
Range2084
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.510955
Coefficient of variation (CV)9.1672459
Kurtosis915.75187
Mean6.0553578
Median Absolute Deviation (MAD)0
Skewness27.860117
Sum15314
Variance3081.4661
MonotonicityNot monotonic
2024-03-23T14:44:13.658550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1487
54.7%
1 330
 
12.1%
2 131
 
4.8%
3 89
 
3.3%
4 58
 
2.1%
7 44
 
1.6%
5 40
 
1.5%
6 38
 
1.4%
8 28
 
1.0%
10 24
 
0.9%
Other values (73) 260
 
9.6%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1487
54.7%
1 330
 
12.1%
2 131
 
4.8%
3 89
 
3.3%
4 58
 
2.1%
5 40
 
1.5%
6 38
 
1.4%
7 44
 
1.6%
8 28
 
1.0%
9 20
 
0.7%
ValueCountFrequency (%)
2084 1
< 0.1%
1286 1
< 0.1%
839 1
< 0.1%
626 1
< 0.1%
395 1
< 0.1%
336 1
< 0.1%
270 1
< 0.1%
199 1
< 0.1%
182 1
< 0.1%
181 1
< 0.1%

2015-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)2.8%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean5.3697113
Minimum0
Maximum1871
Zeros1520
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:13.984063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15.6
Maximum1871
Range1871
Interquartile range (IQR)2

Descriptive statistics

Standard deviation49.705745
Coefficient of variation (CV)9.2566885
Kurtosis929.80062
Mean5.3697113
Median Absolute Deviation (MAD)0
Skewness28.149151
Sum13580
Variance2470.6611
MonotonicityNot monotonic
2024-03-23T14:44:14.252780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1520
55.9%
1 297
 
10.9%
2 147
 
5.4%
3 82
 
3.0%
4 61
 
2.2%
5 45
 
1.7%
6 43
 
1.6%
7 35
 
1.3%
10 30
 
1.1%
9 29
 
1.1%
Other values (61) 240
 
8.8%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1520
55.9%
1 297
 
10.9%
2 147
 
5.4%
3 82
 
3.0%
4 61
 
2.2%
5 45
 
1.7%
6 43
 
1.6%
7 35
 
1.3%
8 27
 
1.0%
9 29
 
1.1%
ValueCountFrequency (%)
1871 1
< 0.1%
1172 1
< 0.1%
727 1
< 0.1%
562 1
< 0.1%
334 1
< 0.1%
301 1
< 0.1%
243 1
< 0.1%
198 1
< 0.1%
163 1
< 0.1%
157 1
< 0.1%

2015-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct83
Distinct (%)3.3%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean6.6690391
Minimum0
Maximum2355
Zeros1433
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:14.517480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile20
Maximum2355
Range2355
Interquartile range (IQR)3

Descriptive statistics

Standard deviation61.758212
Coefficient of variation (CV)9.2604363
Kurtosis957.21409
Mean6.6690391
Median Absolute Deviation (MAD)0
Skewness28.504021
Sum16866
Variance3814.0767
MonotonicityNot monotonic
2024-03-23T14:44:15.500822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1433
52.7%
1 322
 
11.8%
2 135
 
5.0%
3 94
 
3.5%
4 65
 
2.4%
5 51
 
1.9%
6 45
 
1.7%
7 42
 
1.5%
8 32
 
1.2%
14 22
 
0.8%
Other values (73) 288
 
10.6%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1433
52.7%
1 322
 
11.8%
2 135
 
5.0%
3 94
 
3.5%
4 65
 
2.4%
5 51
 
1.9%
6 45
 
1.7%
7 42
 
1.5%
8 32
 
1.2%
9 18
 
0.7%
ValueCountFrequency (%)
2355 1
< 0.1%
1409 1
< 0.1%
916 1
< 0.1%
678 1
< 0.1%
415 1
< 0.1%
376 1
< 0.1%
302 1
< 0.1%
231 1
< 0.1%
219 1
< 0.1%
197 1
< 0.1%

2015-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.0%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean6.1862396
Minimum0
Maximum2216
Zeros1456
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:15.786523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2216
Range2216
Interquartile range (IQR)2

Descriptive statistics

Standard deviation57.327408
Coefficient of variation (CV)9.2669232
Kurtosis996.89184
Mean6.1862396
Median Absolute Deviation (MAD)0
Skewness29.081036
Sum15645
Variance3286.4317
MonotonicityNot monotonic
2024-03-23T14:44:16.042884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1456
53.6%
1 314
 
11.6%
2 142
 
5.2%
3 96
 
3.5%
4 63
 
2.3%
5 50
 
1.8%
8 42
 
1.5%
6 39
 
1.4%
7 27
 
1.0%
10 24
 
0.9%
Other values (66) 276
 
10.2%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1456
53.6%
1 314
 
11.6%
2 142
 
5.2%
3 96
 
3.5%
4 63
 
2.3%
5 50
 
1.8%
6 39
 
1.4%
7 27
 
1.0%
8 42
 
1.5%
9 21
 
0.8%
ValueCountFrequency (%)
2216 1
< 0.1%
1298 1
< 0.1%
821 1
< 0.1%
603 1
< 0.1%
365 1
< 0.1%
316 1
< 0.1%
254 1
< 0.1%
231 1
< 0.1%
218 1
< 0.1%
169 1
< 0.1%

2015-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.0%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean5.4179518
Minimum0
Maximum1896
Zeros1484
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:16.326772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16.6
Maximum1896
Range1896
Interquartile range (IQR)2

Descriptive statistics

Standard deviation49.205577
Coefficient of variation (CV)9.0819518
Kurtosis977.87921
Mean5.4179518
Median Absolute Deviation (MAD)0
Skewness28.736786
Sum13702
Variance2421.1888
MonotonicityNot monotonic
2024-03-23T14:44:16.646631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1484
54.6%
1 310
 
11.4%
2 144
 
5.3%
3 89
 
3.3%
4 75
 
2.8%
5 51
 
1.9%
6 39
 
1.4%
7 34
 
1.3%
8 31
 
1.1%
9 29
 
1.1%
Other values (66) 243
 
8.9%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1484
54.6%
1 310
 
11.4%
2 144
 
5.3%
3 89
 
3.3%
4 75
 
2.8%
5 51
 
1.9%
6 39
 
1.4%
7 34
 
1.3%
8 31
 
1.1%
9 29
 
1.1%
ValueCountFrequency (%)
1896 1
< 0.1%
1063 1
< 0.1%
799 1
< 0.1%
498 1
< 0.1%
297 1
< 0.1%
251 1
< 0.1%
248 1
< 0.1%
223 1
< 0.1%
189 1
< 0.1%
152 1
< 0.1%

2016-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.6%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean3.7797548
Minimum0
Maximum1299
Zeros1558
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:16.938945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum1299
Range1299
Interquartile range (IQR)2

Descriptive statistics

Standard deviation34.297587
Coefficient of variation (CV)9.0740243
Kurtosis948.59862
Mean3.7797548
Median Absolute Deviation (MAD)0
Skewness28.458653
Sum9559
Variance1176.3245
MonotonicityNot monotonic
2024-03-23T14:44:17.286927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1558
57.3%
1 337
 
12.4%
2 125
 
4.6%
3 104
 
3.8%
4 66
 
2.4%
5 55
 
2.0%
6 38
 
1.4%
7 34
 
1.3%
8 31
 
1.1%
9 30
 
1.1%
Other values (55) 151
 
5.6%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1558
57.3%
1 337
 
12.4%
2 125
 
4.6%
3 104
 
3.8%
4 66
 
2.4%
5 55
 
2.0%
6 38
 
1.4%
7 34
 
1.3%
8 31
 
1.1%
9 30
 
1.1%
ValueCountFrequency (%)
1299 1
< 0.1%
805 1
< 0.1%
530 1
< 0.1%
346 1
< 0.1%
194 1
< 0.1%
185 1
< 0.1%
167 1
< 0.1%
143 1
< 0.1%
124 1
< 0.1%
99 1
< 0.1%

2016-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.4%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean3.5852115
Minimum0
Maximum1280
Zeros1591
Zeros (%)58.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:17.590465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum1280
Range1280
Interquartile range (IQR)2

Descriptive statistics

Standard deviation33.195431
Coefficient of variation (CV)9.2589882
Kurtosis1008.1291
Mean3.5852115
Median Absolute Deviation (MAD)0
Skewness29.40148
Sum9067
Variance1101.9367
MonotonicityNot monotonic
2024-03-23T14:44:17.910768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1591
58.5%
1 305
 
11.2%
2 140
 
5.2%
3 107
 
3.9%
4 63
 
2.3%
5 56
 
2.1%
6 36
 
1.3%
7 35
 
1.3%
10 28
 
1.0%
8 28
 
1.0%
Other values (51) 140
 
5.2%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1591
58.5%
1 305
 
11.2%
2 140
 
5.2%
3 107
 
3.9%
4 63
 
2.3%
5 56
 
2.1%
6 36
 
1.3%
7 35
 
1.3%
8 28
 
1.0%
9 14
 
0.5%
ValueCountFrequency (%)
1280 1
< 0.1%
793 1
< 0.1%
448 1
< 0.1%
332 1
< 0.1%
190 1
< 0.1%
176 1
< 0.1%
133 1
< 0.1%
128 1
< 0.1%
108 1
< 0.1%
102 1
< 0.1%

2016-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)2.7%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean4.4594701
Minimum0
Maximum1538
Zeros1510
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:18.241948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1538
Range1538
Interquartile range (IQR)2

Descriptive statistics

Standard deviation41.31825
Coefficient of variation (CV)9.2652824
Kurtosis947.10793
Mean4.4594701
Median Absolute Deviation (MAD)0
Skewness28.673392
Sum11278
Variance1707.1978
MonotonicityNot monotonic
2024-03-23T14:44:18.550064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1510
55.6%
1 352
 
13.0%
2 120
 
4.4%
3 95
 
3.5%
4 74
 
2.7%
6 51
 
1.9%
5 48
 
1.8%
7 37
 
1.4%
8 26
 
1.0%
9 24
 
0.9%
Other values (59) 192
 
7.1%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1510
55.6%
1 352
 
13.0%
2 120
 
4.4%
3 95
 
3.5%
4 74
 
2.7%
5 48
 
1.8%
6 51
 
1.9%
7 37
 
1.4%
8 26
 
1.0%
9 24
 
0.9%
ValueCountFrequency (%)
1538 1
< 0.1%
1082 1
< 0.1%
510 1
< 0.1%
418 1
< 0.1%
268 1
< 0.1%
241 1
< 0.1%
171 1
< 0.1%
145 1
< 0.1%
132 1
< 0.1%
131 1
< 0.1%

2016-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct72
Distinct (%)2.8%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean4.9960459
Minimum0
Maximum1764
Zeros1497
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:18.981512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1764
Range1764
Interquartile range (IQR)2

Descriptive statistics

Standard deviation46.929527
Coefficient of variation (CV)9.3933339
Kurtosis969.52881
Mean4.9960459
Median Absolute Deviation (MAD)0
Skewness29.0021
Sum12635
Variance2202.3805
MonotonicityNot monotonic
2024-03-23T14:44:19.290757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1497
55.1%
1 354
 
13.0%
2 121
 
4.5%
3 88
 
3.2%
4 61
 
2.2%
5 55
 
2.0%
6 50
 
1.8%
7 28
 
1.0%
8 26
 
1.0%
11 26
 
1.0%
Other values (62) 223
 
8.2%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1497
55.1%
1 354
 
13.0%
2 121
 
4.5%
3 88
 
3.2%
4 61
 
2.2%
5 55
 
2.0%
6 50
 
1.8%
7 28
 
1.0%
8 26
 
1.0%
9 24
 
0.9%
ValueCountFrequency (%)
1764 1
< 0.1%
1218 1
< 0.1%
569 1
< 0.1%
453 1
< 0.1%
294 1
< 0.1%
288 1
< 0.1%
181 1
< 0.1%
162 1
< 0.1%
157 1
< 0.1%
146 1
< 0.1%

2016-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)2.8%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean5.23448
Minimum0
Maximum1866
Zeros1524
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:19.563626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1866
Range1866
Interquartile range (IQR)2

Descriptive statistics

Standard deviation49.386753
Coefficient of variation (CV)9.4348919
Kurtosis949.86192
Mean5.23448
Median Absolute Deviation (MAD)0
Skewness28.498861
Sum13238
Variance2439.0514
MonotonicityNot monotonic
2024-03-23T14:44:19.839080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1524
56.1%
1 333
 
12.3%
2 108
 
4.0%
3 83
 
3.1%
4 69
 
2.5%
6 49
 
1.8%
5 47
 
1.7%
7 29
 
1.1%
10 28
 
1.0%
8 27
 
1.0%
Other values (61) 232
 
8.5%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1524
56.1%
1 333
 
12.3%
2 108
 
4.0%
3 83
 
3.1%
4 69
 
2.5%
5 47
 
1.7%
6 49
 
1.8%
7 29
 
1.1%
8 27
 
1.0%
9 21
 
0.8%
ValueCountFrequency (%)
1866 1
< 0.1%
1198 1
< 0.1%
644 1
< 0.1%
545 1
< 0.1%
366 1
< 0.1%
320 1
< 0.1%
212 1
< 0.1%
188 1
< 0.1%
163 1
< 0.1%
157 1
< 0.1%

2016-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)2.9%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean5.5124555
Minimum0
Maximum1932
Zeros1497
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:20.094748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum1932
Range1932
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.704598
Coefficient of variation (CV)9.3795946
Kurtosis918.32859
Mean5.5124555
Median Absolute Deviation (MAD)0
Skewness27.987394
Sum13941
Variance2673.3655
MonotonicityNot monotonic
2024-03-23T14:44:20.347156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1497
55.1%
1 326
 
12.0%
2 143
 
5.3%
3 75
 
2.8%
5 69
 
2.5%
4 59
 
2.2%
6 34
 
1.3%
7 32
 
1.2%
8 29
 
1.1%
9 27
 
1.0%
Other values (64) 238
 
8.8%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 1497
55.1%
1 326
 
12.0%
2 143
 
5.3%
3 75
 
2.8%
4 59
 
2.2%
5 69
 
2.5%
6 34
 
1.3%
7 32
 
1.2%
8 29
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
1932 1
< 0.1%
1259 1
< 0.1%
675 1
< 0.1%
579 1
< 0.1%
413 1
< 0.1%
380 1
< 0.1%
219 1
< 0.1%
208 1
< 0.1%
181 1
< 0.1%
179 1
< 0.1%

2016-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.1302958
Minimum0
Maximum2109
Zeros1503
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:20.622878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2109
Range2109
Interquartile range (IQR)2

Descriptive statistics

Standard deviation56.833896
Coefficient of variation (CV)9.2709877
Kurtosis885.60016
Mean6.1302958
Median Absolute Deviation (MAD)0
Skewness27.341116
Sum15338
Variance3230.0918
MonotonicityNot monotonic
2024-03-23T14:44:20.889012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1503
55.3%
1 309
 
11.4%
2 120
 
4.4%
3 82
 
3.0%
5 66
 
2.4%
4 55
 
2.0%
8 34
 
1.3%
7 27
 
1.0%
9 26
 
1.0%
10 24
 
0.9%
Other values (69) 256
 
9.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1503
55.3%
1 309
 
11.4%
2 120
 
4.4%
3 82
 
3.0%
4 55
 
2.0%
5 66
 
2.4%
6 22
 
0.8%
7 27
 
1.0%
8 34
 
1.3%
9 26
 
1.0%
ValueCountFrequency (%)
2109 1
< 0.1%
1310 1
< 0.1%
821 1
< 0.1%
638 1
< 0.1%
481 1
< 0.1%
387 1
< 0.1%
261 1
< 0.1%
252 1
< 0.1%
232 1
< 0.1%
220 1
< 0.1%

2016-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.1670663
Minimum0
Maximum2210
Zeros1486
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:21.178092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum2210
Range2210
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.347537
Coefficient of variation (CV)9.4611496
Kurtosis938.58052
Mean6.1670663
Median Absolute Deviation (MAD)0
Skewness28.169138
Sum15430
Variance3404.4351
MonotonicityNot monotonic
2024-03-23T14:44:21.445126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1486
54.7%
1 300
 
11.0%
2 143
 
5.3%
3 81
 
3.0%
4 65
 
2.4%
5 49
 
1.8%
6 36
 
1.3%
7 34
 
1.3%
10 25
 
0.9%
11 21
 
0.8%
Other values (68) 262
 
9.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1486
54.7%
1 300
 
11.0%
2 143
 
5.3%
3 81
 
3.0%
4 65
 
2.4%
5 49
 
1.8%
6 36
 
1.3%
7 34
 
1.3%
8 21
 
0.8%
9 20
 
0.7%
ValueCountFrequency (%)
2210 1
< 0.1%
1317 1
< 0.1%
804 1
< 0.1%
675 1
< 0.1%
477 1
< 0.1%
382 1
< 0.1%
272 1
< 0.1%
211 1
< 0.1%
200 1
< 0.1%
199 1
< 0.1%

2016-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.9032774
Minimum0
Maximum2087
Zeros1491
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:21.713348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum2087
Range2087
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.338956
Coefficient of variation (CV)9.3742768
Kurtosis927.34297
Mean5.9032774
Median Absolute Deviation (MAD)0
Skewness28.007128
Sum14770
Variance3062.4001
MonotonicityNot monotonic
2024-03-23T14:44:21.969308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1491
54.9%
1 317
 
11.7%
2 130
 
4.8%
3 83
 
3.1%
5 55
 
2.0%
4 49
 
1.8%
6 44
 
1.6%
8 29
 
1.1%
9 26
 
1.0%
7 23
 
0.8%
Other values (70) 255
 
9.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1491
54.9%
1 317
 
11.7%
2 130
 
4.8%
3 83
 
3.1%
4 49
 
1.8%
5 55
 
2.0%
6 44
 
1.6%
7 23
 
0.8%
8 29
 
1.1%
9 26
 
1.0%
ValueCountFrequency (%)
2087 1
< 0.1%
1252 1
< 0.1%
792 1
< 0.1%
644 1
< 0.1%
413 1
< 0.1%
349 1
< 0.1%
285 1
< 0.1%
196 1
< 0.1%
189 1
< 0.1%
184 1
< 0.1%

2016-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct87
Distinct (%)3.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.1838529
Minimum0
Maximum2584
Zeros1442
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:22.282732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile21
Maximum2584
Range2584
Interquartile range (IQR)2

Descriptive statistics

Standard deviation67.430517
Coefficient of variation (CV)9.3864
Kurtosis963.54863
Mean7.1838529
Median Absolute Deviation (MAD)0
Skewness28.483562
Sum17974
Variance4546.8746
MonotonicityNot monotonic
2024-03-23T14:44:22.561941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1442
53.1%
1 314
 
11.6%
2 128
 
4.7%
3 85
 
3.1%
4 71
 
2.6%
5 45
 
1.7%
7 35
 
1.3%
6 31
 
1.1%
8 29
 
1.1%
10 28
 
1.0%
Other values (77) 294
 
10.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1442
53.1%
1 314
 
11.6%
2 128
 
4.7%
3 85
 
3.1%
4 71
 
2.6%
5 45
 
1.7%
6 31
 
1.1%
7 35
 
1.3%
8 29
 
1.1%
9 17
 
0.6%
ValueCountFrequency (%)
2584 1
< 0.1%
1454 1
< 0.1%
987 1
< 0.1%
782 1
< 0.1%
494 1
< 0.1%
385 1
< 0.1%
347 1
< 0.1%
251 1
< 0.1%
239 1
< 0.1%
232 1
< 0.1%

2016-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct84
Distinct (%)3.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.7002398
Minimum0
Maximum2433
Zeros1449
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:22.818517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19.95
Maximum2433
Range2433
Interquartile range (IQR)2

Descriptive statistics

Standard deviation62.772035
Coefficient of variation (CV)9.3686251
Kurtosis997.04086
Mean6.7002398
Median Absolute Deviation (MAD)0
Skewness28.984757
Sum16764
Variance3940.3283
MonotonicityNot monotonic
2024-03-23T14:44:23.122931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1449
53.3%
1 308
 
11.3%
2 139
 
5.1%
3 84
 
3.1%
4 60
 
2.2%
5 49
 
1.8%
6 39
 
1.4%
9 34
 
1.3%
7 30
 
1.1%
8 29
 
1.1%
Other values (74) 281
 
10.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1449
53.3%
1 308
 
11.3%
2 139
 
5.1%
3 84
 
3.1%
4 60
 
2.2%
5 49
 
1.8%
6 39
 
1.4%
7 30
 
1.1%
8 29
 
1.1%
9 34
 
1.3%
ValueCountFrequency (%)
2433 1
< 0.1%
1330 1
< 0.1%
927 1
< 0.1%
705 1
< 0.1%
429 1
< 0.1%
341 1
< 0.1%
312 1
< 0.1%
232 1
< 0.1%
229 1
< 0.1%
194 1
< 0.1%

2016-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.7018385
Minimum0
Maximum1894
Zeros1505
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:23.855811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1894
Range1894
Interquartile range (IQR)2

Descriptive statistics

Standard deviation52.301381
Coefficient of variation (CV)9.1727222
Kurtosis830.12655
Mean5.7018385
Median Absolute Deviation (MAD)0
Skewness26.588873
Sum14266
Variance2735.4345
MonotonicityNot monotonic
2024-03-23T14:44:24.142508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1505
55.4%
1 298
 
11.0%
2 148
 
5.4%
3 77
 
2.8%
4 65
 
2.4%
5 51
 
1.9%
7 35
 
1.3%
6 34
 
1.3%
8 31
 
1.1%
9 28
 
1.0%
Other values (69) 230
 
8.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1505
55.4%
1 298
 
11.0%
2 148
 
5.4%
3 77
 
2.8%
4 65
 
2.4%
5 51
 
1.9%
6 34
 
1.3%
7 35
 
1.3%
8 31
 
1.1%
9 28
 
1.0%
ValueCountFrequency (%)
1894 1
< 0.1%
1173 1
< 0.1%
974 1
< 0.1%
480 1
< 0.1%
402 1
< 0.1%
375 1
< 0.1%
262 1
< 0.1%
224 1
< 0.1%
182 1
< 0.1%
178 1
< 0.1%

2017-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.6003197
Minimum0
Maximum1327
Zeros1623
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:24.476224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1327
Range1327
Interquartile range (IQR)1

Descriptive statistics

Standard deviation33.539907
Coefficient of variation (CV)9.3158134
Kurtosis1075.9215
Mean3.6003197
Median Absolute Deviation (MAD)0
Skewness30.230301
Sum9008
Variance1124.9254
MonotonicityNot monotonic
2024-03-23T14:44:24.815964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1623
59.7%
1 275
 
10.1%
2 134
 
4.9%
3 87
 
3.2%
4 65
 
2.4%
5 51
 
1.9%
7 37
 
1.4%
6 37
 
1.4%
8 24
 
0.9%
9 22
 
0.8%
Other values (51) 147
 
5.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1623
59.7%
1 275
 
10.1%
2 134
 
4.9%
3 87
 
3.2%
4 65
 
2.4%
5 51
 
1.9%
6 37
 
1.4%
7 37
 
1.4%
8 24
 
0.9%
9 22
 
0.8%
ValueCountFrequency (%)
1327 1
< 0.1%
734 1
< 0.1%
463 1
< 0.1%
297 1
< 0.1%
166 1
< 0.1%
162 1
< 0.1%
148 1
< 0.1%
129 1
< 0.1%
115 2
0.1%
91 1
< 0.1%

2017-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct64
Distinct (%)2.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.7945643
Minimum0
Maximum1355
Zeros1545
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:25.072978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum1355
Range1355
Interquartile range (IQR)2

Descriptive statistics

Standard deviation35.057675
Coefficient of variation (CV)9.2389195
Kurtosis1024.0463
Mean3.7945643
Median Absolute Deviation (MAD)0
Skewness29.677553
Sum9494
Variance1229.0405
MonotonicityNot monotonic
2024-03-23T14:44:25.349818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1545
56.8%
1 329
 
12.1%
2 149
 
5.5%
3 82
 
3.0%
4 58
 
2.1%
5 48
 
1.8%
6 41
 
1.5%
7 39
 
1.4%
9 31
 
1.1%
11 22
 
0.8%
Other values (54) 158
 
5.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1545
56.8%
1 329
 
12.1%
2 149
 
5.5%
3 82
 
3.0%
4 58
 
2.1%
5 48
 
1.8%
6 41
 
1.5%
7 39
 
1.4%
8 22
 
0.8%
9 31
 
1.1%
ValueCountFrequency (%)
1355 1
< 0.1%
835 1
< 0.1%
471 1
< 0.1%
316 1
< 0.1%
188 1
< 0.1%
159 1
< 0.1%
144 1
< 0.1%
114 1
< 0.1%
113 2
0.1%
93 1
< 0.1%

2017-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)2.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.4932054
Minimum0
Maximum1571
Zeros1517
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:25.621203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1571
Range1571
Interquartile range (IQR)2

Descriptive statistics

Standard deviation41.644242
Coefficient of variation (CV)9.2682701
Kurtosis965.83041
Mean4.4932054
Median Absolute Deviation (MAD)0
Skewness28.863565
Sum11242
Variance1734.2429
MonotonicityNot monotonic
2024-03-23T14:44:25.981330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1517
55.8%
1 325
 
12.0%
2 134
 
4.9%
3 84
 
3.1%
5 59
 
2.2%
4 56
 
2.1%
6 40
 
1.5%
7 38
 
1.4%
10 26
 
1.0%
8 24
 
0.9%
Other values (57) 199
 
7.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1517
55.8%
1 325
 
12.0%
2 134
 
4.9%
3 84
 
3.1%
4 56
 
2.1%
5 59
 
2.2%
6 40
 
1.5%
7 38
 
1.4%
8 24
 
0.9%
9 21
 
0.8%
ValueCountFrequency (%)
1571 1
< 0.1%
1035 1
< 0.1%
545 1
< 0.1%
405 1
< 0.1%
262 1
< 0.1%
229 1
< 0.1%
190 1
< 0.1%
129 1
< 0.1%
125 1
< 0.1%
121 2
0.1%

2017-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.3633094
Minimum0
Maximum1540
Zeros1532
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:26.335870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1540
Range1540
Interquartile range (IQR)2

Descriptive statistics

Standard deviation40.791287
Coefficient of variation (CV)9.348704
Kurtosis962.42964
Mean4.3633094
Median Absolute Deviation (MAD)0
Skewness28.77353
Sum10917
Variance1663.9291
MonotonicityNot monotonic
2024-03-23T14:44:26.731378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1532
56.4%
1 330
 
12.1%
2 131
 
4.8%
3 72
 
2.6%
5 67
 
2.5%
4 58
 
2.1%
6 37
 
1.4%
8 32
 
1.2%
9 28
 
1.0%
7 25
 
0.9%
Other values (55) 190
 
7.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1532
56.4%
1 330
 
12.1%
2 131
 
4.8%
3 72
 
2.6%
4 58
 
2.1%
5 67
 
2.5%
6 37
 
1.4%
7 25
 
0.9%
8 32
 
1.2%
9 28
 
1.0%
ValueCountFrequency (%)
1540 1
< 0.1%
1003 1
< 0.1%
525 1
< 0.1%
419 1
< 0.1%
261 1
< 0.1%
256 1
< 0.1%
170 1
< 0.1%
139 1
< 0.1%
127 1
< 0.1%
121 1
< 0.1%

2017-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct70
Distinct (%)2.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.0103917
Minimum0
Maximum1782
Zeros1542
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:27.173203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1782
Range1782
Interquartile range (IQR)2

Descriptive statistics

Standard deviation47.1995
Coefficient of variation (CV)9.4203213
Kurtosis951.49466
Mean5.0103917
Median Absolute Deviation (MAD)0
Skewness28.51739
Sum12536
Variance2227.7928
MonotonicityNot monotonic
2024-03-23T14:44:27.531742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1542
56.7%
1 295
 
10.9%
2 125
 
4.6%
3 85
 
3.1%
4 64
 
2.4%
6 47
 
1.7%
5 39
 
1.4%
7 32
 
1.2%
9 31
 
1.1%
12 24
 
0.9%
Other values (60) 218
 
8.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1542
56.7%
1 295
 
10.9%
2 125
 
4.6%
3 85
 
3.1%
4 64
 
2.4%
5 39
 
1.4%
6 47
 
1.7%
7 32
 
1.2%
8 20
 
0.7%
9 31
 
1.1%
ValueCountFrequency (%)
1782 1
< 0.1%
1135 1
< 0.1%
611 1
< 0.1%
479 1
< 0.1%
379 1
< 0.1%
312 1
< 0.1%
198 1
< 0.1%
180 1
< 0.1%
160 1
< 0.1%
149 1
< 0.1%

2017-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)3.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.1490807
Minimum0
Maximum2204
Zeros1499
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:27.843709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2204
Range2204
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.008925
Coefficient of variation (CV)9.4337556
Kurtosis949.00543
Mean6.1490807
Median Absolute Deviation (MAD)0
Skewness28.328618
Sum15385
Variance3365.0353
MonotonicityNot monotonic
2024-03-23T14:44:28.136348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1499
55.2%
1 302
 
11.1%
2 117
 
4.3%
3 94
 
3.5%
4 59
 
2.2%
5 39
 
1.4%
6 37
 
1.4%
9 36
 
1.3%
7 34
 
1.3%
10 24
 
0.9%
Other values (67) 261
 
9.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1499
55.2%
1 302
 
11.1%
2 117
 
4.3%
3 94
 
3.5%
4 59
 
2.2%
5 39
 
1.4%
6 37
 
1.4%
7 34
 
1.3%
8 21
 
0.8%
9 36
 
1.3%
ValueCountFrequency (%)
2204 1
< 0.1%
1318 1
< 0.1%
776 1
< 0.1%
619 1
< 0.1%
536 1
< 0.1%
363 1
< 0.1%
258 1
< 0.1%
256 1
< 0.1%
231 1
< 0.1%
190 1
< 0.1%

2017-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.3381295
Minimum0
Maximum2276
Zeros1494
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:28.529147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2276
Range2276
Interquartile range (IQR)2

Descriptive statistics

Standard deviation59.884568
Coefficient of variation (CV)9.448303
Kurtosis938.25351
Mean6.3381295
Median Absolute Deviation (MAD)0
Skewness28.078236
Sum15858
Variance3586.1615
MonotonicityNot monotonic
2024-03-23T14:44:28.867968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1494
55.0%
1 308
 
11.3%
2 121
 
4.5%
3 78
 
2.9%
4 69
 
2.5%
5 47
 
1.7%
6 37
 
1.4%
9 27
 
1.0%
8 26
 
1.0%
7 26
 
1.0%
Other values (68) 269
 
9.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1494
55.0%
1 308
 
11.3%
2 121
 
4.5%
3 78
 
2.9%
4 69
 
2.5%
5 47
 
1.7%
6 37
 
1.4%
7 26
 
1.0%
8 26
 
1.0%
9 27
 
1.0%
ValueCountFrequency (%)
2276 1
< 0.1%
1301 1
< 0.1%
867 1
< 0.1%
668 1
< 0.1%
535 1
< 0.1%
381 1
< 0.1%
304 1
< 0.1%
254 1
< 0.1%
246 1
< 0.1%
203 1
< 0.1%

2017-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.2645883
Minimum0
Maximum2302
Zeros1491
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:29.131569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2302
Range2302
Interquartile range (IQR)2

Descriptive statistics

Standard deviation59.697092
Coefficient of variation (CV)9.5292922
Kurtosis970.55264
Mean6.2645883
Median Absolute Deviation (MAD)0
Skewness28.478765
Sum15674
Variance3563.7428
MonotonicityNot monotonic
2024-03-23T14:44:29.644625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1491
54.9%
1 314
 
11.6%
2 120
 
4.4%
3 84
 
3.1%
4 64
 
2.4%
5 46
 
1.7%
6 37
 
1.4%
7 32
 
1.2%
9 27
 
1.0%
8 26
 
1.0%
Other values (68) 261
 
9.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1491
54.9%
1 314
 
11.6%
2 120
 
4.4%
3 84
 
3.1%
4 64
 
2.4%
5 46
 
1.7%
6 37
 
1.4%
7 32
 
1.2%
8 26
 
1.0%
9 27
 
1.0%
ValueCountFrequency (%)
2302 1
< 0.1%
1215 1
< 0.1%
892 1
< 0.1%
682 1
< 0.1%
544 1
< 0.1%
330 1
< 0.1%
289 1
< 0.1%
280 1
< 0.1%
253 1
< 0.1%
200 1
< 0.1%

2017-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct75
Distinct (%)3.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.3760991
Minimum0
Maximum1982
Zeros1509
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:29.999022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1982
Range1982
Interquartile range (IQR)2

Descriptive statistics

Standard deviation50.75656
Coefficient of variation (CV)9.4411503
Kurtosis1013.4073
Mean5.3760991
Median Absolute Deviation (MAD)0
Skewness29.170013
Sum13451
Variance2576.2283
MonotonicityNot monotonic
2024-03-23T14:44:30.323748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1509
55.5%
1 301
 
11.1%
2 140
 
5.2%
3 91
 
3.3%
4 61
 
2.2%
6 43
 
1.6%
5 42
 
1.5%
7 39
 
1.4%
8 28
 
1.0%
10 27
 
1.0%
Other values (65) 221
 
8.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1509
55.5%
1 301
 
11.1%
2 140
 
5.2%
3 91
 
3.3%
4 61
 
2.2%
5 42
 
1.5%
6 43
 
1.6%
7 39
 
1.4%
8 28
 
1.0%
9 15
 
0.6%
ValueCountFrequency (%)
1982 1
< 0.1%
1026 1
< 0.1%
752 1
< 0.1%
627 1
< 0.1%
305 1
< 0.1%
279 1
< 0.1%
249 1
< 0.1%
185 1
< 0.1%
178 1
< 0.1%
157 1
< 0.1%

2017-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)2.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.8609113
Minimum0
Maximum1440
Zeros1567
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:30.574331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1440
Range1440
Interquartile range (IQR)1

Descriptive statistics

Standard deviation36.63766
Coefficient of variation (CV)9.4893814
Kurtosis1047.7027
Mean3.8609113
Median Absolute Deviation (MAD)0
Skewness29.817797
Sum9660
Variance1342.3181
MonotonicityNot monotonic
2024-03-23T14:44:30.923050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1567
57.7%
1 330
 
12.1%
2 134
 
4.9%
3 103
 
3.8%
5 53
 
1.9%
4 48
 
1.8%
6 31
 
1.1%
7 28
 
1.0%
8 24
 
0.9%
9 22
 
0.8%
Other values (53) 162
 
6.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1567
57.7%
1 330
 
12.1%
2 134
 
4.9%
3 103
 
3.8%
4 48
 
1.8%
5 53
 
1.9%
6 31
 
1.1%
7 28
 
1.0%
8 24
 
0.9%
9 22
 
0.8%
ValueCountFrequency (%)
1440 1
< 0.1%
784 1
< 0.1%
504 1
< 0.1%
429 1
< 0.1%
211 1
< 0.1%
187 1
< 0.1%
136 1
< 0.1%
119 1
< 0.1%
109 1
< 0.1%
108 1
< 0.1%

2017-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)2.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.6602718
Minimum0
Maximum1725
Zeros1520
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:31.393147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13.95
Maximum1725
Range1725
Interquartile range (IQR)2

Descriptive statistics

Standard deviation43.877894
Coefficient of variation (CV)9.415308
Kurtosis1046.099
Mean4.6602718
Median Absolute Deviation (MAD)0
Skewness29.738101
Sum11660
Variance1925.2696
MonotonicityNot monotonic
2024-03-23T14:44:31.668042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1520
55.9%
1 325
 
12.0%
2 137
 
5.0%
3 91
 
3.3%
4 66
 
2.4%
5 41
 
1.5%
6 38
 
1.4%
7 37
 
1.4%
10 26
 
1.0%
9 22
 
0.8%
Other values (61) 199
 
7.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1520
55.9%
1 325
 
12.0%
2 137
 
5.0%
3 91
 
3.3%
4 66
 
2.4%
5 41
 
1.5%
6 38
 
1.4%
7 37
 
1.4%
8 22
 
0.8%
9 22
 
0.8%
ValueCountFrequency (%)
1725 1
< 0.1%
932 1
< 0.1%
627 1
< 0.1%
462 1
< 0.1%
246 1
< 0.1%
233 1
< 0.1%
221 1
< 0.1%
142 1
< 0.1%
138 1
< 0.1%
112 1
< 0.1%

2017-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.547562
Minimum0
Maximum1695
Zeros1549
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:32.736641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1695
Range1695
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.595528
Coefficient of variation (CV)9.3666734
Kurtosis1075.3608
Mean4.547562
Median Absolute Deviation (MAD)0
Skewness30.021018
Sum11378
Variance1814.379
MonotonicityNot monotonic
2024-03-23T14:44:33.022964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1549
57.0%
1 300
 
11.0%
2 140
 
5.2%
3 97
 
3.6%
4 48
 
1.8%
5 47
 
1.7%
6 42
 
1.5%
7 31
 
1.1%
8 30
 
1.1%
9 25
 
0.9%
Other values (58) 193
 
7.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1549
57.0%
1 300
 
11.0%
2 140
 
5.2%
3 97
 
3.6%
4 48
 
1.8%
5 47
 
1.7%
6 42
 
1.5%
7 31
 
1.1%
8 30
 
1.1%
9 25
 
0.9%
ValueCountFrequency (%)
1695 1
< 0.1%
841 1
< 0.1%
638 1
< 0.1%
414 1
< 0.1%
291 1
< 0.1%
220 1
< 0.1%
202 1
< 0.1%
155 1
< 0.1%
152 1
< 0.1%
138 1
< 0.1%

2018-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct72
Distinct (%)2.9%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.6826539
Minimum0
Maximum1718
Zeros1540
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:33.280284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1718
Range1718
Interquartile range (IQR)2

Descriptive statistics

Standard deviation43.691798
Coefficient of variation (CV)9.3305632
Kurtosis1034.2957
Mean4.6826539
Median Absolute Deviation (MAD)0
Skewness29.419468
Sum11716
Variance1908.9732
MonotonicityNot monotonic
2024-03-23T14:44:33.589963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1540
56.7%
1 320
 
11.8%
2 135
 
5.0%
3 81
 
3.0%
5 58
 
2.1%
4 48
 
1.8%
6 35
 
1.3%
8 32
 
1.2%
7 27
 
1.0%
9 27
 
1.0%
Other values (62) 199
 
7.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1540
56.7%
1 320
 
11.8%
2 135
 
5.0%
3 81
 
3.0%
4 48
 
1.8%
5 58
 
2.1%
6 35
 
1.3%
7 27
 
1.0%
8 32
 
1.2%
9 27
 
1.0%
ValueCountFrequency (%)
1718 1
< 0.1%
872 1
< 0.1%
671 1
< 0.1%
426 1
< 0.1%
341 1
< 0.1%
225 1
< 0.1%
211 1
< 0.1%
184 1
< 0.1%
178 1
< 0.1%
160 1
< 0.1%

2018-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct70
Distinct (%)2.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.8852918
Minimum0
Maximum1742
Zeros1544
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:33.830471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1742
Range1742
Interquartile range (IQR)2

Descriptive statistics

Standard deviation45.389047
Coefficient of variation (CV)9.2909593
Kurtosis955.86744
Mean4.8852918
Median Absolute Deviation (MAD)0
Skewness28.229781
Sum12223
Variance2060.1656
MonotonicityNot monotonic
2024-03-23T14:44:34.076766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1544
56.8%
1 300
 
11.0%
2 154
 
5.7%
3 73
 
2.7%
4 59
 
2.2%
5 49
 
1.8%
6 33
 
1.2%
7 31
 
1.1%
8 29
 
1.1%
9 23
 
0.8%
Other values (60) 207
 
7.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1544
56.8%
1 300
 
11.0%
2 154
 
5.7%
3 73
 
2.7%
4 59
 
2.2%
5 49
 
1.8%
6 33
 
1.2%
7 31
 
1.1%
8 29
 
1.1%
9 23
 
0.8%
ValueCountFrequency (%)
1742 1
< 0.1%
925 1
< 0.1%
704 1
< 0.1%
497 1
< 0.1%
393 1
< 0.1%
242 1
< 0.1%
241 1
< 0.1%
212 1
< 0.1%
205 1
< 0.1%
186 1
< 0.1%

2018-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.1095124
Minimum0
Maximum2151
Zeros1476
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:34.563862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18.95
Maximum2151
Range2151
Interquartile range (IQR)2

Descriptive statistics

Standard deviation56.388638
Coefficient of variation (CV)9.2296463
Kurtosis938.87687
Mean6.1095124
Median Absolute Deviation (MAD)0
Skewness27.99264
Sum15286
Variance3179.6785
MonotonicityNot monotonic
2024-03-23T14:44:34.874407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1476
54.3%
1 311
 
11.4%
2 146
 
5.4%
3 82
 
3.0%
4 58
 
2.1%
6 46
 
1.7%
5 45
 
1.7%
7 31
 
1.1%
9 28
 
1.0%
10 25
 
0.9%
Other values (69) 254
 
9.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1476
54.3%
1 311
 
11.4%
2 146
 
5.4%
3 82
 
3.0%
4 58
 
2.1%
5 45
 
1.7%
6 46
 
1.7%
7 31
 
1.1%
8 23
 
0.8%
9 28
 
1.0%
ValueCountFrequency (%)
2151 1
< 0.1%
1158 1
< 0.1%
883 1
< 0.1%
646 1
< 0.1%
474 1
< 0.1%
316 1
< 0.1%
298 1
< 0.1%
259 1
< 0.1%
231 1
< 0.1%
227 1
< 0.1%

2018-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)2.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.4820144
Minimum0
Maximum1665
Zeros1554
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:35.139567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1665
Range1665
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.488217
Coefficient of variation (CV)9.4797145
Kurtosis1035.7648
Mean4.4820144
Median Absolute Deviation (MAD)0
Skewness29.59569
Sum11214
Variance1805.2486
MonotonicityNot monotonic
2024-03-23T14:44:35.402423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1554
57.2%
1 304
 
11.2%
2 141
 
5.2%
3 83
 
3.1%
4 69
 
2.5%
5 52
 
1.9%
6 35
 
1.3%
9 31
 
1.1%
7 30
 
1.1%
8 23
 
0.8%
Other values (57) 180
 
6.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1554
57.2%
1 304
 
11.2%
2 141
 
5.2%
3 83
 
3.1%
4 69
 
2.5%
5 52
 
1.9%
6 35
 
1.3%
7 30
 
1.1%
8 23
 
0.8%
9 31
 
1.1%
ValueCountFrequency (%)
1665 1
< 0.1%
907 1
< 0.1%
589 1
< 0.1%
488 1
< 0.1%
229 1
< 0.1%
226 2
0.1%
133 1
< 0.1%
131 1
< 0.1%
105 1
< 0.1%
104 1
< 0.1%

2018-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct66
Distinct (%)2.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.059952
Minimum0
Maximum1476
Zeros1558
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:35.669427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1476
Range1476
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.92377
Coefficient of variation (CV)9.3409404
Kurtosis1013.506
Mean4.059952
Median Absolute Deviation (MAD)0
Skewness29.246148
Sum10158
Variance1438.2123
MonotonicityNot monotonic
2024-03-23T14:44:35.990020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1558
57.3%
1 329
 
12.1%
2 137
 
5.0%
3 85
 
3.1%
4 57
 
2.1%
5 51
 
1.9%
7 41
 
1.5%
6 38
 
1.4%
8 25
 
0.9%
9 20
 
0.7%
Other values (56) 161
 
5.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1558
57.3%
1 329
 
12.1%
2 137
 
5.0%
3 85
 
3.1%
4 57
 
2.1%
5 51
 
1.9%
6 38
 
1.4%
7 41
 
1.5%
8 25
 
0.9%
9 20
 
0.7%
ValueCountFrequency (%)
1476 1
< 0.1%
815 1
< 0.1%
539 1
< 0.1%
424 1
< 0.1%
223 1
< 0.1%
207 1
< 0.1%
200 1
< 0.1%
133 1
< 0.1%
112 1
< 0.1%
97 1
< 0.1%

2018-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)2.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.8285372
Minimum0
Maximum1367
Zeros1584
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:36.303224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1367
Range1367
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.99221
Coefficient of variation (CV)9.4010346
Kurtosis979.0788
Mean3.8285372
Median Absolute Deviation (MAD)0
Skewness29.021022
Sum9579
Variance1295.4392
MonotonicityNot monotonic
2024-03-23T14:44:36.579205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1584
58.3%
1 323
 
11.9%
2 127
 
4.7%
3 95
 
3.5%
4 58
 
2.1%
5 51
 
1.9%
8 37
 
1.4%
6 34
 
1.3%
7 33
 
1.2%
10 16
 
0.6%
Other values (53) 144
 
5.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1584
58.3%
1 323
 
11.9%
2 127
 
4.7%
3 95
 
3.5%
4 58
 
2.1%
5 51
 
1.9%
6 34
 
1.3%
7 33
 
1.2%
8 37
 
1.4%
9 13
 
0.5%
ValueCountFrequency (%)
1367 1
< 0.1%
881 1
< 0.1%
460 1
< 0.1%
381 1
< 0.1%
191 1
< 0.1%
167 1
< 0.1%
163 1
< 0.1%
116 1
< 0.1%
111 1
< 0.1%
107 1
< 0.1%

2018-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct60
Distinct (%)2.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.7522899
Minimum0
Maximum1368
Zeros1606
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:36.940478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1368
Range1368
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.286104
Coefficient of variation (CV)9.4038853
Kurtosis1009.2332
Mean3.7522899
Median Absolute Deviation (MAD)0
Skewness29.269301
Sum9422
Variance1245.1091
MonotonicityNot monotonic
2024-03-23T14:44:37.281088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1606
59.1%
1 313
 
11.5%
2 124
 
4.6%
3 82
 
3.0%
4 62
 
2.3%
5 51
 
1.9%
6 34
 
1.3%
7 34
 
1.3%
8 28
 
1.0%
9 19
 
0.7%
Other values (50) 158
 
5.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1606
59.1%
1 313
 
11.5%
2 124
 
4.6%
3 82
 
3.0%
4 62
 
2.3%
5 51
 
1.9%
6 34
 
1.3%
7 34
 
1.3%
8 28
 
1.0%
9 19
 
0.7%
ValueCountFrequency (%)
1368 1
< 0.1%
793 1
< 0.1%
475 1
< 0.1%
393 1
< 0.1%
219 1
< 0.1%
200 1
< 0.1%
179 1
< 0.1%
115 1
< 0.1%
106 1
< 0.1%
95 1
< 0.1%

2018-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct64
Distinct (%)2.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.069944
Minimum0
Maximum1535
Zeros1589
Zeros (%)58.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:37.745015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1535
Range1535
Interquartile range (IQR)1

Descriptive statistics

Standard deviation39.358332
Coefficient of variation (CV)9.6704847
Kurtosis1013.038
Mean4.069944
Median Absolute Deviation (MAD)0
Skewness29.192527
Sum10183
Variance1549.0783
MonotonicityNot monotonic
2024-03-23T14:44:38.009530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1589
58.5%
1 320
 
11.8%
2 134
 
4.9%
3 76
 
2.8%
4 60
 
2.2%
6 41
 
1.5%
5 37
 
1.4%
7 30
 
1.1%
8 25
 
0.9%
9 21
 
0.8%
Other values (54) 169
 
6.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1589
58.5%
1 320
 
11.8%
2 134
 
4.9%
3 76
 
2.8%
4 60
 
2.2%
5 37
 
1.4%
6 41
 
1.5%
7 30
 
1.1%
8 25
 
0.9%
9 21
 
0.8%
ValueCountFrequency (%)
1535 1
< 0.1%
822 1
< 0.1%
521 1
< 0.1%
496 1
< 0.1%
270 1
< 0.1%
269 1
< 0.1%
205 1
< 0.1%
134 1
< 0.1%
126 1
< 0.1%
110 1
< 0.1%

2018-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)3.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.3553157
Minimum0
Maximum1939
Zeros1577
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:38.282676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1939
Range1939
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.05482
Coefficient of variation (CV)9.5334845
Kurtosis917.07624
Mean5.3553157
Median Absolute Deviation (MAD)0
Skewness27.582583
Sum13399
Variance2606.5946
MonotonicityNot monotonic
2024-03-23T14:44:38.566167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1577
58.0%
1 289
 
10.6%
2 135
 
5.0%
3 77
 
2.8%
4 65
 
2.4%
6 45
 
1.7%
5 33
 
1.2%
7 29
 
1.1%
8 25
 
0.9%
12 20
 
0.7%
Other values (64) 207
 
7.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1577
58.0%
1 289
 
10.6%
2 135
 
5.0%
3 77
 
2.8%
4 65
 
2.4%
5 33
 
1.2%
6 45
 
1.7%
7 29
 
1.1%
8 25
 
0.9%
9 18
 
0.7%
ValueCountFrequency (%)
1939 1
< 0.1%
1007 1
< 0.1%
760 1
< 0.1%
692 1
< 0.1%
435 1
< 0.1%
351 1
< 0.1%
327 1
< 0.1%
215 1
< 0.1%
199 1
< 0.1%
174 1
< 0.1%

2018-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct86
Distinct (%)3.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.4428457
Minimum0
Maximum2364
Zeros1490
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:38.943717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum2364
Range2364
Interquartile range (IQR)2

Descriptive statistics

Standard deviation61.113352
Coefficient of variation (CV)9.4854595
Kurtosis975.682
Mean6.4428457
Median Absolute Deviation (MAD)0
Skewness28.527621
Sum16120
Variance3734.8418
MonotonicityNot monotonic
2024-03-23T14:44:39.329123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1490
54.8%
1 297
 
10.9%
2 149
 
5.5%
3 84
 
3.1%
4 66
 
2.4%
5 51
 
1.9%
6 36
 
1.3%
7 34
 
1.3%
10 25
 
0.9%
9 20
 
0.7%
Other values (76) 250
 
9.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1490
54.8%
1 297
 
10.9%
2 149
 
5.5%
3 84
 
3.1%
4 66
 
2.4%
5 51
 
1.9%
6 36
 
1.3%
7 34
 
1.3%
8 19
 
0.7%
9 20
 
0.7%
ValueCountFrequency (%)
2364 1
< 0.1%
1193 1
< 0.1%
901 1
< 0.1%
837 1
< 0.1%
396 1
< 0.1%
386 1
< 0.1%
385 1
< 0.1%
224 1
< 0.1%
188 1
< 0.1%
181 1
< 0.1%

2018-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct70
Distinct (%)2.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.0911271
Minimum0
Maximum1558
Zeros1587
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:39.588302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12.95
Maximum1558
Range1558
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.883936
Coefficient of variation (CV)9.5044557
Kurtosis1103.2333
Mean4.0911271
Median Absolute Deviation (MAD)0
Skewness30.481628
Sum10236
Variance1511.9605
MonotonicityNot monotonic
2024-03-23T14:44:39.840012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1587
58.4%
1 308
 
11.3%
2 144
 
5.3%
3 91
 
3.3%
4 57
 
2.1%
5 43
 
1.6%
7 32
 
1.2%
6 31
 
1.1%
8 23
 
0.8%
9 19
 
0.7%
Other values (60) 167
 
6.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1587
58.4%
1 308
 
11.3%
2 144
 
5.3%
3 91
 
3.3%
4 57
 
2.1%
5 43
 
1.6%
6 31
 
1.1%
7 32
 
1.2%
8 23
 
0.8%
9 19
 
0.7%
ValueCountFrequency (%)
1558 1
< 0.1%
781 1
< 0.1%
515 1
< 0.1%
455 1
< 0.1%
226 1
< 0.1%
209 1
< 0.1%
128 1
< 0.1%
123 1
< 0.1%
114 1
< 0.1%
112 1
< 0.1%

2018-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct56
Distinct (%)2.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.2042366
Minimum0
Maximum1222
Zeros1652
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:40.120535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1222
Range1222
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.533643
Coefficient of variation (CV)9.5291473
Kurtosis1109.7116
Mean3.2042366
Median Absolute Deviation (MAD)0
Skewness30.68471
Sum8017
Variance932.30333
MonotonicityNot monotonic
2024-03-23T14:44:40.411043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1652
60.8%
1 299
 
11.0%
2 146
 
5.4%
3 78
 
2.9%
4 68
 
2.5%
5 42
 
1.5%
6 29
 
1.1%
7 23
 
0.8%
10 18
 
0.7%
9 17
 
0.6%
Other values (46) 130
 
4.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1652
60.8%
1 299
 
11.0%
2 146
 
5.4%
3 78
 
2.9%
4 68
 
2.5%
5 42
 
1.5%
6 29
 
1.1%
7 23
 
0.8%
8 14
 
0.5%
9 17
 
0.6%
ValueCountFrequency (%)
1222 1
< 0.1%
645 1
< 0.1%
404 1
< 0.1%
316 1
< 0.1%
153 1
< 0.1%
145 1
< 0.1%
115 1
< 0.1%
103 1
< 0.1%
90 1
< 0.1%
77 1
< 0.1%

2019-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct53
Distinct (%)2.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean2.9508393
Minimum0
Maximum1132
Zeros1653
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:41.254820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1132
Range1132
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.168135
Coefficient of variation (CV)9.5458042
Kurtosis1130.6125
Mean2.9508393
Median Absolute Deviation (MAD)0
Skewness31.057948
Sum7383
Variance793.4438
MonotonicityNot monotonic
2024-03-23T14:44:41.554524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1653
60.8%
1 322
 
11.8%
2 140
 
5.2%
3 84
 
3.1%
5 46
 
1.7%
4 45
 
1.7%
6 32
 
1.2%
8 24
 
0.9%
7 20
 
0.7%
11 17
 
0.6%
Other values (43) 119
 
4.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1653
60.8%
1 322
 
11.8%
2 140
 
5.2%
3 84
 
3.1%
4 45
 
1.7%
5 46
 
1.7%
6 32
 
1.2%
7 20
 
0.7%
8 24
 
0.9%
9 14
 
0.5%
ValueCountFrequency (%)
1132 1
< 0.1%
607 1
< 0.1%
354 1
< 0.1%
286 1
< 0.1%
145 1
< 0.1%
122 1
< 0.1%
85 1
< 0.1%
80 2
0.1%
77 1
< 0.1%
67 1
< 0.1%

2019-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct51
Distinct (%)2.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean2.5919265
Minimum0
Maximum1002
Zeros1703
Zeros (%)62.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:41.852925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum1002
Range1002
Interquartile range (IQR)1

Descriptive statistics

Standard deviation24.864594
Coefficient of variation (CV)9.593094
Kurtosis1149.2261
Mean2.5919265
Median Absolute Deviation (MAD)0
Skewness31.394351
Sum6485
Variance618.24804
MonotonicityNot monotonic
2024-03-23T14:44:42.093026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1703
62.7%
1 305
 
11.2%
2 132
 
4.9%
3 78
 
2.9%
4 53
 
1.9%
5 42
 
1.5%
6 28
 
1.0%
7 27
 
1.0%
10 18
 
0.7%
8 13
 
0.5%
Other values (41) 103
 
3.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1703
62.7%
1 305
 
11.2%
2 132
 
4.9%
3 78
 
2.9%
4 53
 
1.9%
5 42
 
1.5%
6 28
 
1.0%
7 27
 
1.0%
8 13
 
0.5%
9 11
 
0.4%
ValueCountFrequency (%)
1002 1
 
< 0.1%
552 1
 
< 0.1%
288 1
 
< 0.1%
236 1
 
< 0.1%
127 1
 
< 0.1%
90 1
 
< 0.1%
86 1
 
< 0.1%
73 1
 
< 0.1%
66 1
 
< 0.1%
63 3
0.1%

2019-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct54
Distinct (%)2.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean2.9428457
Minimum0
Maximum1124
Zeros1642
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:42.336044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1124
Range1124
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.207837
Coefficient of variation (CV)9.5852245
Kurtosis1121.6386
Mean2.9428457
Median Absolute Deviation (MAD)0
Skewness31.110713
Sum7363
Variance795.68206
MonotonicityNot monotonic
2024-03-23T14:44:42.566348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1642
60.4%
1 339
 
12.5%
2 127
 
4.7%
3 79
 
2.9%
4 53
 
1.9%
5 44
 
1.6%
6 36
 
1.3%
7 28
 
1.0%
8 20
 
0.7%
10 14
 
0.5%
Other values (44) 120
 
4.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1642
60.4%
1 339
 
12.5%
2 127
 
4.7%
3 79
 
2.9%
4 53
 
1.9%
5 44
 
1.6%
6 36
 
1.3%
7 28
 
1.0%
8 20
 
0.7%
9 13
 
0.5%
ValueCountFrequency (%)
1124 1
 
< 0.1%
656 1
 
< 0.1%
314 1
 
< 0.1%
268 1
 
< 0.1%
148 1
 
< 0.1%
104 1
 
< 0.1%
96 1
 
< 0.1%
78 1
 
< 0.1%
73 3
0.1%
68 1
 
< 0.1%

2019-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct62
Distinct (%)2.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.3940847
Minimum0
Maximum1314
Zeros1624
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:42.886486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1314
Range1314
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.478082
Coefficient of variation (CV)9.5690252
Kurtosis1161.0896
Mean3.3940847
Median Absolute Deviation (MAD)0
Skewness31.513177
Sum8492
Variance1054.8258
MonotonicityNot monotonic
2024-03-23T14:44:43.402009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1624
59.7%
1 314
 
11.6%
2 145
 
5.3%
3 83
 
3.1%
4 55
 
2.0%
5 41
 
1.5%
7 33
 
1.2%
6 32
 
1.2%
8 27
 
1.0%
12 16
 
0.6%
Other values (52) 132
 
4.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1624
59.7%
1 314
 
11.6%
2 145
 
5.3%
3 83
 
3.1%
4 55
 
2.0%
5 41
 
1.5%
6 32
 
1.2%
7 33
 
1.2%
8 27
 
1.0%
9 16
 
0.6%
ValueCountFrequency (%)
1314 1
< 0.1%
714 1
< 0.1%
357 1
< 0.1%
311 1
< 0.1%
168 1
< 0.1%
122 1
< 0.1%
118 1
< 0.1%
112 1
< 0.1%
86 1
< 0.1%
83 1
< 0.1%

2019-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.3828937
Minimum0
Maximum1281
Zeros1603
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:43.716825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1281
Range1281
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.014736
Coefficient of variation (CV)9.4637132
Kurtosis1120.7227
Mean3.3828937
Median Absolute Deviation (MAD)0
Skewness30.95495
Sum8464
Variance1024.9433
MonotonicityNot monotonic
2024-03-23T14:44:44.076950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1603
59.0%
1 328
 
12.1%
2 119
 
4.4%
3 89
 
3.3%
4 72
 
2.6%
5 50
 
1.8%
6 39
 
1.4%
7 30
 
1.1%
8 23
 
0.8%
10 16
 
0.6%
Other values (51) 133
 
4.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1603
59.0%
1 328
 
12.1%
2 119
 
4.4%
3 89
 
3.3%
4 72
 
2.6%
5 50
 
1.8%
6 39
 
1.4%
7 30
 
1.1%
8 23
 
0.8%
9 13
 
0.5%
ValueCountFrequency (%)
1281 1
< 0.1%
709 1
< 0.1%
386 1
< 0.1%
320 1
< 0.1%
167 1
< 0.1%
128 1
< 0.1%
101 1
< 0.1%
99 1
< 0.1%
96 1
< 0.1%
87 1
< 0.1%

2019-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct60
Distinct (%)2.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3.3045564
Minimum0
Maximum1252
Zeros1629
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:44.395838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1252
Range1252
Interquartile range (IQR)1

Descriptive statistics

Standard deviation31.385238
Coefficient of variation (CV)9.4975647
Kurtosis1111.2974
Mean3.3045564
Median Absolute Deviation (MAD)0
Skewness30.81837
Sum8268
Variance985.03316
MonotonicityNot monotonic
2024-03-23T14:44:44.735855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1629
59.9%
1 295
 
10.9%
2 158
 
5.8%
3 69
 
2.5%
4 50
 
1.8%
5 45
 
1.7%
6 43
 
1.6%
7 39
 
1.4%
8 22
 
0.8%
9 21
 
0.8%
Other values (50) 131
 
4.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1629
59.9%
1 295
 
10.9%
2 158
 
5.8%
3 69
 
2.5%
4 50
 
1.8%
5 45
 
1.7%
6 43
 
1.6%
7 39
 
1.4%
8 22
 
0.8%
9 21
 
0.8%
ValueCountFrequency (%)
1252 1
< 0.1%
701 1
< 0.1%
375 1
< 0.1%
308 1
< 0.1%
171 1
< 0.1%
133 1
< 0.1%
118 1
< 0.1%
105 1
< 0.1%
94 1
< 0.1%
83 1
< 0.1%

2019-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)2.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.2509992
Minimum0
Maximum1643
Zeros1582
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:45.019957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1643
Range1643
Interquartile range (IQR)2

Descriptive statistics

Standard deviation40.912758
Coefficient of variation (CV)9.6242687
Kurtosis1123.1371
Mean4.2509992
Median Absolute Deviation (MAD)0
Skewness30.884968
Sum10636
Variance1673.8538
MonotonicityNot monotonic
2024-03-23T14:44:45.297867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1582
58.2%
1 286
 
10.5%
2 135
 
5.0%
3 100
 
3.7%
4 59
 
2.2%
5 42
 
1.5%
6 40
 
1.5%
8 33
 
1.2%
9 29
 
1.1%
7 25
 
0.9%
Other values (59) 171
 
6.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1582
58.2%
1 286
 
10.5%
2 135
 
5.0%
3 100
 
3.7%
4 59
 
2.2%
5 42
 
1.5%
6 40
 
1.5%
7 25
 
0.9%
8 33
 
1.2%
9 29
 
1.1%
ValueCountFrequency (%)
1643 1
< 0.1%
869 1
< 0.1%
509 1
< 0.1%
420 1
< 0.1%
228 1
< 0.1%
217 1
< 0.1%
163 1
< 0.1%
130 1
< 0.1%
122 1
< 0.1%
113 1
< 0.1%

2019-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct66
Distinct (%)2.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.3876898
Minimum0
Maximum1713
Zeros1580
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:45.688703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1713
Range1713
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.265577
Coefficient of variation (CV)9.6327632
Kurtosis1147.1502
Mean4.3876898
Median Absolute Deviation (MAD)0
Skewness31.113007
Sum10978
Variance1786.379
MonotonicityNot monotonic
2024-03-23T14:44:45.983271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1580
58.1%
1 293
 
10.8%
2 127
 
4.7%
3 88
 
3.2%
4 56
 
2.1%
5 44
 
1.6%
6 40
 
1.5%
7 39
 
1.4%
8 25
 
0.9%
9 25
 
0.9%
Other values (56) 185
 
6.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1580
58.1%
1 293
 
10.8%
2 127
 
4.7%
3 88
 
3.2%
4 56
 
2.1%
5 44
 
1.6%
6 40
 
1.5%
7 39
 
1.4%
8 25
 
0.9%
9 25
 
0.9%
ValueCountFrequency (%)
1713 1
< 0.1%
851 1
< 0.1%
534 1
< 0.1%
425 1
< 0.1%
293 1
< 0.1%
210 1
< 0.1%
169 1
< 0.1%
155 1
< 0.1%
137 1
< 0.1%
123 1
< 0.1%

2019-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct66
Distinct (%)2.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.2969624
Minimum0
Maximum1696
Zeros1566
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:46.216866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1696
Range1696
Interquartile range (IQR)2

Descriptive statistics

Standard deviation41.460687
Coefficient of variation (CV)9.6488362
Kurtosis1179.9207
Mean4.2969624
Median Absolute Deviation (MAD)0
Skewness31.556709
Sum10751
Variance1718.9885
MonotonicityNot monotonic
2024-03-23T14:44:46.583289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1566
57.6%
1 299
 
11.0%
2 142
 
5.2%
3 80
 
2.9%
4 70
 
2.6%
5 44
 
1.6%
6 42
 
1.5%
8 26
 
1.0%
7 26
 
1.0%
9 25
 
0.9%
Other values (56) 182
 
6.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1566
57.6%
1 299
 
11.0%
2 142
 
5.2%
3 80
 
2.9%
4 70
 
2.6%
5 44
 
1.6%
6 42
 
1.5%
7 26
 
1.0%
8 26
 
1.0%
9 25
 
0.9%
ValueCountFrequency (%)
1696 1
< 0.1%
807 1
< 0.1%
530 1
< 0.1%
428 1
< 0.1%
248 1
< 0.1%
204 1
< 0.1%
172 1
< 0.1%
129 1
< 0.1%
127 1
< 0.1%
108 1
< 0.1%

2019-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.7298161
Minimum0
Maximum2230
Zeros1490
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:46.988119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum2230
Range2230
Interquartile range (IQR)2

Descriptive statistics

Standard deviation54.885033
Coefficient of variation (CV)9.5788471
Kurtosis1153.6497
Mean5.7298161
Median Absolute Deviation (MAD)0
Skewness31.202417
Sum14336
Variance3012.3668
MonotonicityNot monotonic
2024-03-23T14:44:47.316551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1490
54.8%
1 301
 
11.1%
2 131
 
4.8%
3 91
 
3.3%
4 67
 
2.5%
5 55
 
2.0%
6 38
 
1.4%
7 33
 
1.2%
8 29
 
1.1%
11 28
 
1.0%
Other values (68) 239
 
8.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1490
54.8%
1 301
 
11.1%
2 131
 
4.8%
3 91
 
3.3%
4 67
 
2.5%
5 55
 
2.0%
6 38
 
1.4%
7 33
 
1.2%
8 29
 
1.1%
9 23
 
0.8%
ValueCountFrequency (%)
2230 1
< 0.1%
1073 1
< 0.1%
720 1
< 0.1%
611 1
< 0.1%
284 1
< 0.1%
282 1
< 0.1%
247 1
< 0.1%
173 1
< 0.1%
159 1
< 0.1%
156 1
< 0.1%

2019-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct81
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.6706635
Minimum0
Maximum2557
Zeros1478
Zeros (%)54.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:47.594562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum2557
Range2557
Interquartile range (IQR)2

Descriptive statistics

Standard deviation63.263931
Coefficient of variation (CV)9.4839038
Kurtosis1126.9306
Mean6.6706635
Median Absolute Deviation (MAD)0
Skewness30.730372
Sum16690
Variance4002.3249
MonotonicityNot monotonic
2024-03-23T14:44:47.882466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1478
54.4%
1 297
 
10.9%
2 126
 
4.6%
3 78
 
2.9%
4 66
 
2.4%
5 47
 
1.7%
6 40
 
1.5%
7 35
 
1.3%
9 30
 
1.1%
8 29
 
1.1%
Other values (71) 276
 
10.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1478
54.4%
1 297
 
10.9%
2 126
 
4.6%
3 78
 
2.9%
4 66
 
2.4%
5 47
 
1.7%
6 40
 
1.5%
7 35
 
1.3%
8 29
 
1.1%
9 30
 
1.1%
ValueCountFrequency (%)
2557 1
< 0.1%
1185 1
< 0.1%
900 1
< 0.1%
711 1
< 0.1%
381 1
< 0.1%
319 1
< 0.1%
302 1
< 0.1%
208 1
< 0.1%
199 1
< 0.1%
192 1
< 0.1%

2019-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)4.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean8.8529177
Minimum0
Maximum3450
Zeros1417
Zeros (%)52.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:48.164665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile27
Maximum3450
Range3450
Interquartile range (IQR)3

Descriptive statistics

Standard deviation84.540335
Coefficient of variation (CV)9.549432
Kurtosis1160.5819
Mean8.8529177
Median Absolute Deviation (MAD)0
Skewness31.17675
Sum22150
Variance7147.0683
MonotonicityNot monotonic
2024-03-23T14:44:48.400744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1417
52.1%
1 299
 
11.0%
2 131
 
4.8%
3 78
 
2.9%
4 64
 
2.4%
5 47
 
1.7%
8 44
 
1.6%
6 32
 
1.2%
7 31
 
1.1%
10 24
 
0.9%
Other values (89) 335
 
12.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1417
52.1%
1 299
 
11.0%
2 131
 
4.8%
3 78
 
2.9%
4 64
 
2.4%
5 47
 
1.7%
6 32
 
1.2%
7 31
 
1.1%
8 44
 
1.6%
9 24
 
0.9%
ValueCountFrequency (%)
3450 1
< 0.1%
1510 1
< 0.1%
1180 1
< 0.1%
1007 1
< 0.1%
482 1
< 0.1%
409 1
< 0.1%
397 1
< 0.1%
285 1
< 0.1%
284 1
< 0.1%
247 1
< 0.1%

2020-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct89
Distinct (%)3.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.6778577
Minimum0
Maximum2948
Zeros1446
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:48.634896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile23
Maximum2948
Range2948
Interquartile range (IQR)3

Descriptive statistics

Standard deviation73.145401
Coefficient of variation (CV)9.5267982
Kurtosis1113.6109
Mean7.6778577
Median Absolute Deviation (MAD)0
Skewness30.531183
Sum19210
Variance5350.2496
MonotonicityNot monotonic
2024-03-23T14:44:48.879037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1446
53.2%
1 299
 
11.0%
2 119
 
4.4%
3 96
 
3.5%
4 62
 
2.3%
5 52
 
1.9%
7 41
 
1.5%
6 35
 
1.3%
8 28
 
1.0%
9 24
 
0.9%
Other values (79) 300
 
11.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1446
53.2%
1 299
 
11.0%
2 119
 
4.4%
3 96
 
3.5%
4 62
 
2.3%
5 52
 
1.9%
6 35
 
1.3%
7 41
 
1.5%
8 28
 
1.0%
9 24
 
0.9%
ValueCountFrequency (%)
2948 1
< 0.1%
1332 1
< 0.1%
1019 1
< 0.1%
956 1
< 0.1%
426 1
< 0.1%
371 1
< 0.1%
359 1
< 0.1%
238 1
< 0.1%
196 1
< 0.1%
193 1
< 0.1%

2020-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)4.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean8.7861711
Minimum0
Maximum3385
Zeros1421
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:49.571240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile26
Maximum3385
Range3385
Interquartile range (IQR)3

Descriptive statistics

Standard deviation85.172175
Coefficient of variation (CV)9.6938899
Kurtosis1066.9906
Mean8.7861711
Median Absolute Deviation (MAD)0
Skewness29.926015
Sum21983
Variance7254.2993
MonotonicityNot monotonic
2024-03-23T14:44:49.776373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1421
52.3%
1 303
 
11.1%
2 138
 
5.1%
3 80
 
2.9%
5 58
 
2.1%
4 57
 
2.1%
6 42
 
1.5%
7 36
 
1.3%
8 24
 
0.9%
9 24
 
0.9%
Other values (89) 319
 
11.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1421
52.3%
1 303
 
11.1%
2 138
 
5.1%
3 80
 
2.9%
4 57
 
2.1%
5 58
 
2.1%
6 42
 
1.5%
7 36
 
1.3%
8 24
 
0.9%
9 24
 
0.9%
ValueCountFrequency (%)
3385 1
< 0.1%
1615 1
< 0.1%
1245 1
< 0.1%
1092 1
< 0.1%
604 1
< 0.1%
448 1
< 0.1%
320 1
< 0.1%
265 1
< 0.1%
250 1
< 0.1%
191 1
< 0.1%

2020-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct91
Distinct (%)3.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.6954436
Minimum0
Maximum2959
Zeros1464
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:50.003238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile23
Maximum2959
Range2959
Interquartile range (IQR)2

Descriptive statistics

Standard deviation75.438719
Coefficient of variation (CV)9.8030371
Kurtosis1031.1003
Mean7.6954436
Median Absolute Deviation (MAD)0
Skewness29.496225
Sum19254
Variance5691.0004
MonotonicityNot monotonic
2024-03-23T14:44:50.247593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1464
53.9%
1 296
 
10.9%
2 127
 
4.7%
3 91
 
3.3%
4 65
 
2.4%
5 45
 
1.7%
6 42
 
1.5%
7 32
 
1.2%
8 26
 
1.0%
11 23
 
0.8%
Other values (81) 291
 
10.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1464
53.9%
1 296
 
10.9%
2 127
 
4.7%
3 91
 
3.3%
4 65
 
2.4%
5 45
 
1.7%
6 42
 
1.5%
7 32
 
1.2%
8 26
 
1.0%
9 22
 
0.8%
ValueCountFrequency (%)
2959 1
< 0.1%
1539 1
< 0.1%
1079 1
< 0.1%
940 1
< 0.1%
536 1
< 0.1%
393 1
< 0.1%
325 1
< 0.1%
302 1
< 0.1%
213 1
< 0.1%
180 1
< 0.1%

2020-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)2.9%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean4.5967226
Minimum0
Maximum1805
Zeros1551
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:50.502864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum1805
Range1805
Interquartile range (IQR)2

Descriptive statistics

Standard deviation44.817905
Coefficient of variation (CV)9.7499694
Kurtosis1136.4572
Mean4.5967226
Median Absolute Deviation (MAD)0
Skewness31.12099
Sum11501
Variance2008.6446
MonotonicityNot monotonic
2024-03-23T14:44:50.716596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1551
57.1%
1 317
 
11.7%
2 138
 
5.1%
3 91
 
3.3%
4 62
 
2.3%
6 46
 
1.7%
5 38
 
1.4%
10 28
 
1.0%
7 21
 
0.8%
9 20
 
0.7%
Other values (63) 190
 
7.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1551
57.1%
1 317
 
11.7%
2 138
 
5.1%
3 91
 
3.3%
4 62
 
2.3%
5 38
 
1.4%
6 46
 
1.7%
7 21
 
0.8%
8 19
 
0.7%
9 20
 
0.7%
ValueCountFrequency (%)
1805 1
< 0.1%
958 1
< 0.1%
517 1
< 0.1%
501 1
< 0.1%
266 1
< 0.1%
167 1
< 0.1%
151 1
< 0.1%
146 1
< 0.1%
126 1
< 0.1%
118 1
< 0.1%

2020-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)3.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.4572342
Minimum0
Maximum2061
Zeros1488
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:50.952336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum2061
Range2061
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.903614
Coefficient of variation (CV)9.5109743
Kurtosis1093.1754
Mean5.4572342
Median Absolute Deviation (MAD)0
Skewness30.560974
Sum13654
Variance2693.9852
MonotonicityNot monotonic
2024-03-23T14:44:51.188536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1488
54.7%
1 314
 
11.6%
2 157
 
5.8%
3 80
 
2.9%
4 68
 
2.5%
6 45
 
1.7%
7 39
 
1.4%
5 37
 
1.4%
9 25
 
0.9%
8 21
 
0.8%
Other values (67) 228
 
8.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1488
54.7%
1 314
 
11.6%
2 157
 
5.8%
3 80
 
2.9%
4 68
 
2.5%
5 37
 
1.4%
6 45
 
1.7%
7 39
 
1.4%
8 21
 
0.8%
9 25
 
0.9%
ValueCountFrequency (%)
2061 1
< 0.1%
1153 1
< 0.1%
601 1
< 0.1%
599 1
< 0.1%
301 1
< 0.1%
203 1
< 0.1%
162 1
< 0.1%
149 1
< 0.1%
140 1
< 0.1%
136 1
< 0.1%

2020-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct105
Distinct (%)4.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean10.116707
Minimum0
Maximum3860
Zeros1372
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:51.411072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile31.95
Maximum3860
Range3860
Interquartile range (IQR)3

Descriptive statistics

Standard deviation96.75654
Coefficient of variation (CV)9.5640354
Kurtosis1085.3062
Mean10.116707
Median Absolute Deviation (MAD)0
Skewness30.241163
Sum25312
Variance9361.828
MonotonicityNot monotonic
2024-03-23T14:44:51.706019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1372
50.5%
1 297
 
10.9%
2 137
 
5.0%
3 102
 
3.8%
4 55
 
2.0%
5 46
 
1.7%
7 40
 
1.5%
6 38
 
1.4%
9 32
 
1.2%
8 28
 
1.0%
Other values (95) 355
 
13.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1372
50.5%
1 297
 
10.9%
2 137
 
5.0%
3 102
 
3.8%
4 55
 
2.0%
5 46
 
1.7%
6 38
 
1.4%
7 40
 
1.5%
8 28
 
1.0%
9 32
 
1.2%
ValueCountFrequency (%)
3860 1
< 0.1%
1905 1
< 0.1%
1312 1
< 0.1%
1243 1
< 0.1%
621 1
< 0.1%
467 1
< 0.1%
361 1
< 0.1%
311 1
< 0.1%
268 1
< 0.1%
265 1
< 0.1%

2020-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct102
Distinct (%)4.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean10.148281
Minimum0
Maximum3889
Zeros1351
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:51.949789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile32
Maximum3889
Range3889
Interquartile range (IQR)3

Descriptive statistics

Standard deviation97.313818
Coefficient of variation (CV)9.589192
Kurtosis1088.2974
Mean10.148281
Median Absolute Deviation (MAD)0
Skewness30.225003
Sum25391
Variance9469.9792
MonotonicityNot monotonic
2024-03-23T14:44:52.196791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1351
49.7%
1 307
 
11.3%
2 149
 
5.5%
3 85
 
3.1%
4 64
 
2.4%
5 43
 
1.6%
6 39
 
1.4%
8 34
 
1.3%
7 34
 
1.3%
9 31
 
1.1%
Other values (92) 365
 
13.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1351
49.7%
1 307
 
11.3%
2 149
 
5.5%
3 85
 
3.1%
4 64
 
2.4%
5 43
 
1.6%
6 39
 
1.4%
7 34
 
1.3%
8 34
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
3889 1
< 0.1%
1890 1
< 0.1%
1289 1
< 0.1%
1254 1
< 0.1%
561 1
< 0.1%
544 1
< 0.1%
454 1
< 0.1%
364 1
< 0.1%
328 1
< 0.1%
307 1
< 0.1%

2020-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.8189448
Minimum0
Maximum2314
Zeros1490
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:52.408955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17.95
Maximum2314
Range2314
Interquartile range (IQR)2

Descriptive statistics

Standard deviation57.136036
Coefficient of variation (CV)9.8189684
Kurtosis1140.8718
Mean5.8189448
Median Absolute Deviation (MAD)0
Skewness31.070255
Sum14559
Variance3264.5266
MonotonicityNot monotonic
2024-03-23T14:44:52.740042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1490
54.8%
1 312
 
11.5%
2 125
 
4.6%
3 94
 
3.5%
4 67
 
2.5%
5 57
 
2.1%
6 40
 
1.5%
7 34
 
1.3%
10 26
 
1.0%
9 25
 
0.9%
Other values (70) 232
 
8.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1490
54.8%
1 312
 
11.5%
2 125
 
4.6%
3 94
 
3.5%
4 67
 
2.5%
5 57
 
2.1%
6 40
 
1.5%
7 34
 
1.3%
8 19
 
0.7%
9 25
 
0.9%
ValueCountFrequency (%)
2314 1
< 0.1%
1095 1
< 0.1%
773 1
< 0.1%
721 1
< 0.1%
274 1
< 0.1%
259 1
< 0.1%
236 1
< 0.1%
173 1
< 0.1%
172 1
< 0.1%
150 1
< 0.1%

2020-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.7026379
Minimum0
Maximum2263
Zeros1496
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:53.108189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17.95
Maximum2263
Range2263
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.524178
Coefficient of variation (CV)9.7365779
Kurtosis1162.0953
Mean5.7026379
Median Absolute Deviation (MAD)0
Skewness31.313862
Sum14268
Variance3082.9343
MonotonicityNot monotonic
2024-03-23T14:44:53.451090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1496
55.0%
1 302
 
11.1%
2 134
 
4.9%
3 92
 
3.4%
5 62
 
2.3%
4 57
 
2.1%
7 42
 
1.5%
6 38
 
1.4%
8 26
 
1.0%
9 21
 
0.8%
Other values (66) 232
 
8.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1496
55.0%
1 302
 
11.1%
2 134
 
4.9%
3 92
 
3.4%
4 57
 
2.1%
5 62
 
2.3%
6 38
 
1.4%
7 42
 
1.5%
8 26
 
1.0%
9 21
 
0.8%
ValueCountFrequency (%)
2263 1
< 0.1%
1041 1
< 0.1%
726 1
< 0.1%
700 1
< 0.1%
279 1
< 0.1%
263 1
< 0.1%
215 1
< 0.1%
175 1
< 0.1%
170 1
< 0.1%
163 1
< 0.1%

2020-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct86
Distinct (%)3.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.4244604
Minimum0
Maximum2556
Zeros1480
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:53.780131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum2556
Range2556
Interquartile range (IQR)2

Descriptive statistics

Standard deviation62.756848
Coefficient of variation (CV)9.7684231
Kurtosis1162.8559
Mean6.4244604
Median Absolute Deviation (MAD)0
Skewness31.335968
Sum16074
Variance3938.4219
MonotonicityNot monotonic
2024-03-23T14:44:54.040115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1480
54.5%
1 319
 
11.7%
2 121
 
4.5%
3 93
 
3.4%
4 65
 
2.4%
5 45
 
1.7%
6 42
 
1.5%
8 32
 
1.2%
7 28
 
1.0%
9 26
 
1.0%
Other values (76) 251
 
9.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1480
54.5%
1 319
 
11.7%
2 121
 
4.5%
3 93
 
3.4%
4 65
 
2.4%
5 45
 
1.7%
6 42
 
1.5%
7 28
 
1.0%
8 32
 
1.2%
9 26
 
1.0%
ValueCountFrequency (%)
2556 1
< 0.1%
1221 1
< 0.1%
787 1
< 0.1%
738 1
< 0.1%
349 1
< 0.1%
293 1
< 0.1%
278 1
< 0.1%
184 1
< 0.1%
181 1
< 0.1%
178 1
< 0.1%

2020-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct103
Distinct (%)4.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean8.745004
Minimum0
Maximum3514
Zeros1411
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:54.272712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile27
Maximum3514
Range3514
Interquartile range (IQR)3

Descriptive statistics

Standard deviation85.34362
Coefficient of variation (CV)9.7591288
Kurtosis1204.6303
Mean8.745004
Median Absolute Deviation (MAD)0
Skewness31.851074
Sum21880
Variance7283.5335
MonotonicityNot monotonic
2024-03-23T14:44:54.531714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1411
51.9%
1 300
 
11.0%
2 154
 
5.7%
3 98
 
3.6%
4 58
 
2.1%
5 49
 
1.8%
6 41
 
1.5%
7 34
 
1.3%
8 25
 
0.9%
11 23
 
0.8%
Other values (93) 309
 
11.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1411
51.9%
1 300
 
11.0%
2 154
 
5.7%
3 98
 
3.6%
4 58
 
2.1%
5 49
 
1.8%
6 41
 
1.5%
7 34
 
1.3%
8 25
 
0.9%
9 21
 
0.8%
ValueCountFrequency (%)
3514 1
< 0.1%
1644 1
< 0.1%
1044 1
< 0.1%
804 1
< 0.1%
599 1
< 0.1%
342 1
< 0.1%
337 1
< 0.1%
286 1
< 0.1%
276 1
< 0.1%
269 1
< 0.1%

2020-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct104
Distinct (%)4.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean10.243805
Minimum0
Maximum4007
Zeros1340
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:54.769642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile32.95
Maximum4007
Range4007
Interquartile range (IQR)3

Descriptive statistics

Standard deviation98.694743
Coefficient of variation (CV)9.6345785
Kurtosis1161.4476
Mean10.243805
Median Absolute Deviation (MAD)0
Skewness31.432153
Sum25630
Variance9740.6523
MonotonicityNot monotonic
2024-03-23T14:44:55.075222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1340
49.3%
1 306
 
11.3%
2 140
 
5.2%
3 93
 
3.4%
5 64
 
2.4%
4 61
 
2.2%
6 45
 
1.7%
8 38
 
1.4%
7 30
 
1.1%
11 25
 
0.9%
Other values (94) 360
 
13.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1340
49.3%
1 306
 
11.3%
2 140
 
5.2%
3 93
 
3.4%
4 61
 
2.2%
5 64
 
2.4%
6 45
 
1.7%
7 30
 
1.1%
8 38
 
1.4%
9 20
 
0.7%
ValueCountFrequency (%)
4007 1
< 0.1%
2047 1
< 0.1%
1162 1
< 0.1%
1086 1
< 0.1%
589 1
< 0.1%
365 1
< 0.1%
352 1
< 0.1%
322 1
< 0.1%
279 1
< 0.1%
264 1
< 0.1%

2021-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct82
Distinct (%)3.3%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.0375699
Minimum0
Maximum2298
Zeros1481
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:55.398276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2298
Range2298
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.613872
Coefficient of variation (CV)9.7081893
Kurtosis1057.0208
Mean6.0375699
Median Absolute Deviation (MAD)0
Skewness30.120626
Sum15106
Variance3435.586
MonotonicityNot monotonic
2024-03-23T14:44:55.710309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1481
54.5%
1 302
 
11.1%
2 135
 
5.0%
3 99
 
3.6%
4 57
 
2.1%
6 42
 
1.5%
8 42
 
1.5%
5 40
 
1.5%
7 35
 
1.3%
9 28
 
1.0%
Other values (72) 241
 
8.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1481
54.5%
1 302
 
11.1%
2 135
 
5.0%
3 99
 
3.6%
4 57
 
2.1%
5 40
 
1.5%
6 42
 
1.5%
7 35
 
1.3%
8 42
 
1.5%
9 28
 
1.0%
ValueCountFrequency (%)
2298 1
< 0.1%
1337 1
< 0.1%
755 1
< 0.1%
606 1
< 0.1%
429 1
< 0.1%
236 1
< 0.1%
193 1
< 0.1%
187 1
< 0.1%
150 1
< 0.1%
146 1
< 0.1%

2021-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct75
Distinct (%)3.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.5799361
Minimum0
Maximum2103
Zeros1474
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:56.006294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum2103
Range2103
Interquartile range (IQR)2

Descriptive statistics

Standard deviation54.284851
Coefficient of variation (CV)9.7285794
Kurtosis1028.0611
Mean5.5799361
Median Absolute Deviation (MAD)0
Skewness29.76683
Sum13961
Variance2946.8451
MonotonicityNot monotonic
2024-03-23T14:44:56.335308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1474
54.2%
1 337
 
12.4%
2 135
 
5.0%
3 92
 
3.4%
4 64
 
2.4%
6 44
 
1.6%
5 40
 
1.5%
7 38
 
1.4%
9 22
 
0.8%
10 22
 
0.8%
Other values (65) 234
 
8.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1474
54.2%
1 337
 
12.4%
2 135
 
5.0%
3 92
 
3.4%
4 64
 
2.4%
5 40
 
1.5%
6 44
 
1.6%
7 38
 
1.4%
8 21
 
0.8%
9 22
 
0.8%
ValueCountFrequency (%)
2103 1
< 0.1%
1278 1
< 0.1%
712 1
< 0.1%
545 1
< 0.1%
408 1
< 0.1%
223 1
< 0.1%
168 1
< 0.1%
152 1
< 0.1%
144 1
< 0.1%
142 1
< 0.1%

2021-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.2705835
Minimum0
Maximum2375
Zeros1464
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:56.626508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2375
Range2375
Interquartile range (IQR)2

Descriptive statistics

Standard deviation61.546658
Coefficient of variation (CV)9.8151405
Kurtosis1046.5098
Mean6.2705835
Median Absolute Deviation (MAD)0
Skewness30.235767
Sum15689
Variance3787.9911
MonotonicityNot monotonic
2024-03-23T14:44:57.631531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1464
53.9%
1 338
 
12.4%
2 133
 
4.9%
3 74
 
2.7%
4 65
 
2.4%
5 50
 
1.8%
8 33
 
1.2%
6 31
 
1.1%
9 28
 
1.0%
7 27
 
1.0%
Other values (69) 259
 
9.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1464
53.9%
1 338
 
12.4%
2 133
 
4.9%
3 74
 
2.7%
4 65
 
2.4%
5 50
 
1.8%
6 31
 
1.1%
7 27
 
1.0%
8 33
 
1.2%
9 28
 
1.0%
ValueCountFrequency (%)
2375 1
< 0.1%
1554 1
< 0.1%
696 1
< 0.1%
543 1
< 0.1%
442 1
< 0.1%
200 1
< 0.1%
197 1
< 0.1%
184 1
< 0.1%
166 1
< 0.1%
162 1
< 0.1%

2021-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct78
Distinct (%)3.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.3385292
Minimum0
Maximum1959
Zeros1499
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:57.878607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum1959
Range1959
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.218859
Coefficient of variation (CV)9.5941893
Kurtosis1036.4983
Mean5.3385292
Median Absolute Deviation (MAD)0
Skewness30.140125
Sum13357
Variance2623.3716
MonotonicityNot monotonic
2024-03-23T14:44:58.144619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1499
55.2%
1 323
 
11.9%
2 150
 
5.5%
3 89
 
3.3%
4 58
 
2.1%
5 46
 
1.7%
6 35
 
1.3%
9 32
 
1.2%
7 28
 
1.0%
8 25
 
0.9%
Other values (68) 217
 
8.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1499
55.2%
1 323
 
11.9%
2 150
 
5.5%
3 89
 
3.3%
4 58
 
2.1%
5 46
 
1.7%
6 35
 
1.3%
7 28
 
1.0%
8 25
 
0.9%
9 32
 
1.2%
ValueCountFrequency (%)
1959 1
< 0.1%
1338 1
< 0.1%
528 1
< 0.1%
438 1
< 0.1%
344 1
< 0.1%
184 1
< 0.1%
159 1
< 0.1%
147 1
< 0.1%
143 1
< 0.1%
137 1
< 0.1%

2021-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)3.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.5983213
Minimum0
Maximum2078
Zeros1475
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:58.449695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum2078
Range2078
Interquartile range (IQR)2

Descriptive statistics

Standard deviation53.732724
Coefficient of variation (CV)9.5980064
Kurtosis1054.2792
Mean5.5983213
Median Absolute Deviation (MAD)0
Skewness30.324316
Sum14007
Variance2887.2056
MonotonicityNot monotonic
2024-03-23T14:44:58.715790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1475
54.3%
1 325
 
12.0%
2 139
 
5.1%
3 96
 
3.5%
4 56
 
2.1%
5 50
 
1.8%
6 41
 
1.5%
8 32
 
1.2%
7 29
 
1.1%
10 24
 
0.9%
Other values (66) 235
 
8.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1475
54.3%
1 325
 
12.0%
2 139
 
5.1%
3 96
 
3.5%
4 56
 
2.1%
5 50
 
1.8%
6 41
 
1.5%
7 29
 
1.1%
8 32
 
1.2%
9 18
 
0.7%
ValueCountFrequency (%)
2078 1
< 0.1%
1361 1
< 0.1%
557 1
< 0.1%
495 1
< 0.1%
346 1
< 0.1%
205 1
< 0.1%
169 1
< 0.1%
166 1
< 0.1%
159 1
< 0.1%
141 1
< 0.1%

2021-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)3.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean5.2516926
Minimum0
Maximum2016
Zeros1540
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:58.967971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum2016
Range2016
Interquartile range (IQR)2

Descriptive statistics

Standard deviation51.697222
Coefficient of variation (CV)9.8439163
Kurtosis1076.1287
Mean5.2516926
Median Absolute Deviation (MAD)0
Skewness30.659448
Sum13187
Variance2672.6028
MonotonicityNot monotonic
2024-03-23T14:44:59.262761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1540
56.7%
1 317
 
11.7%
2 137
 
5.0%
3 80
 
2.9%
4 52
 
1.9%
5 51
 
1.9%
6 38
 
1.4%
7 29
 
1.1%
8 26
 
1.0%
9 25
 
0.9%
Other values (67) 216
 
7.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1540
56.7%
1 317
 
11.7%
2 137
 
5.0%
3 80
 
2.9%
4 52
 
1.9%
5 51
 
1.9%
6 38
 
1.4%
7 29
 
1.1%
8 26
 
1.0%
9 25
 
0.9%
ValueCountFrequency (%)
2016 1
< 0.1%
1299 1
< 0.1%
565 1
< 0.1%
458 1
< 0.1%
307 1
< 0.1%
194 1
< 0.1%
161 1
< 0.1%
150 1
< 0.1%
134 1
< 0.1%
131 1
< 0.1%

2021-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)2.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean5.4452409
Minimum0
Maximum2108
Zeros1539
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:44:59.554457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum2108
Range2108
Interquartile range (IQR)2

Descriptive statistics

Standard deviation53.611039
Coefficient of variation (CV)9.8454852
Kurtosis1085.3258
Mean5.4452409
Median Absolute Deviation (MAD)0
Skewness30.673216
Sum13673
Variance2874.1435
MonotonicityNot monotonic
2024-03-23T14:44:59.908631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1539
56.6%
1 309
 
11.4%
2 138
 
5.1%
3 77
 
2.8%
4 64
 
2.4%
6 49
 
1.8%
5 36
 
1.3%
9 25
 
0.9%
8 22
 
0.8%
7 21
 
0.8%
Other values (64) 231
 
8.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1539
56.6%
1 309
 
11.4%
2 138
 
5.1%
3 77
 
2.8%
4 64
 
2.4%
5 36
 
1.3%
6 49
 
1.8%
7 21
 
0.8%
8 22
 
0.8%
9 25
 
0.9%
ValueCountFrequency (%)
2108 1
< 0.1%
1294 1
< 0.1%
608 1
< 0.1%
506 1
< 0.1%
339 1
< 0.1%
200 1
< 0.1%
192 1
< 0.1%
151 1
< 0.1%
149 1
< 0.1%
134 1
< 0.1%

2021-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)3.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean5.5981681
Minimum0
Maximum2198
Zeros1535
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:00.241486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17
Maximum2198
Range2198
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.423331
Coefficient of variation (CV)9.9002621
Kurtosis1111.9356
Mean5.5981681
Median Absolute Deviation (MAD)0
Skewness31.048211
Sum14057
Variance3071.7456
MonotonicityNot monotonic
2024-03-23T14:45:00.521882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1535
56.5%
1 327
 
12.0%
2 128
 
4.7%
3 77
 
2.8%
4 47
 
1.7%
5 44
 
1.6%
6 35
 
1.3%
7 35
 
1.3%
8 26
 
1.0%
9 25
 
0.9%
Other values (67) 232
 
8.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1535
56.5%
1 327
 
12.0%
2 128
 
4.7%
3 77
 
2.8%
4 47
 
1.7%
5 44
 
1.6%
6 35
 
1.3%
7 35
 
1.3%
8 26
 
1.0%
9 25
 
0.9%
ValueCountFrequency (%)
2198 1
< 0.1%
1324 1
< 0.1%
620 1
< 0.1%
497 1
< 0.1%
321 1
< 0.1%
231 1
< 0.1%
187 1
< 0.1%
175 1
< 0.1%
149 1
< 0.1%
144 1
< 0.1%

2021-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)2.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean5.048188
Minimum0
Maximum1934
Zeros1565
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:00.772528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum1934
Range1934
Interquartile range (IQR)2

Descriptive statistics

Standard deviation49.220195
Coefficient of variation (CV)9.7500717
Kurtosis1087.9061
Mean5.048188
Median Absolute Deviation (MAD)0
Skewness30.715345
Sum12676
Variance2422.6276
MonotonicityNot monotonic
2024-03-23T14:45:01.144536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1565
57.6%
1 312
 
11.5%
2 137
 
5.0%
3 76
 
2.8%
4 59
 
2.2%
5 41
 
1.5%
6 30
 
1.1%
7 29
 
1.1%
9 26
 
1.0%
11 24
 
0.9%
Other values (64) 212
 
7.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1565
57.6%
1 312
 
11.5%
2 137
 
5.0%
3 76
 
2.8%
4 59
 
2.2%
5 41
 
1.5%
6 30
 
1.1%
7 29
 
1.1%
8 23
 
0.8%
9 26
 
1.0%
ValueCountFrequency (%)
1934 1
< 0.1%
1204 1
< 0.1%
507 1
< 0.1%
468 1
< 0.1%
286 1
< 0.1%
231 1
< 0.1%
181 1
< 0.1%
144 1
< 0.1%
139 1
< 0.1%
129 1
< 0.1%

2021-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)2.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.4428515
Minimum0
Maximum1673
Zeros1591
Zeros (%)58.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:01.481667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile14
Maximum1673
Range1673
Interquartile range (IQR)1

Descriptive statistics

Standard deviation43.011754
Coefficient of variation (CV)9.6811146
Kurtosis1081.7004
Mean4.4428515
Median Absolute Deviation (MAD)0
Skewness30.781533
Sum11156
Variance1850.011
MonotonicityNot monotonic
2024-03-23T14:45:01.742485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1591
58.5%
1 315
 
11.6%
2 142
 
5.2%
3 70
 
2.6%
4 51
 
1.9%
5 47
 
1.7%
6 33
 
1.2%
8 29
 
1.1%
9 28
 
1.0%
7 25
 
0.9%
Other values (63) 180
 
6.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1591
58.5%
1 315
 
11.6%
2 142
 
5.2%
3 70
 
2.6%
4 51
 
1.9%
5 47
 
1.7%
6 33
 
1.2%
7 25
 
0.9%
8 29
 
1.1%
9 28
 
1.0%
ValueCountFrequency (%)
1673 1
< 0.1%
1111 1
< 0.1%
391 1
< 0.1%
368 1
< 0.1%
222 1
< 0.1%
212 1
< 0.1%
130 1
< 0.1%
119 1
< 0.1%
115 2
0.1%
112 1
< 0.1%

2021-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.7248108
Minimum0
Maximum1463
Zeros1638
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:01.994838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1463
Range1463
Interquartile range (IQR)1

Descriptive statistics

Standard deviation36.376653
Coefficient of variation (CV)9.7660404
Kurtosis1172.5131
Mean3.7248108
Median Absolute Deviation (MAD)0
Skewness31.975721
Sum9353
Variance1323.2609
MonotonicityNot monotonic
2024-03-23T14:45:02.279701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1638
60.3%
1 330
 
12.1%
2 124
 
4.6%
3 71
 
2.6%
4 54
 
2.0%
5 40
 
1.5%
6 37
 
1.4%
8 25
 
0.9%
7 21
 
0.8%
11 16
 
0.6%
Other values (58) 155
 
5.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1638
60.3%
1 330
 
12.1%
2 124
 
4.6%
3 71
 
2.6%
4 54
 
2.0%
5 40
 
1.5%
6 37
 
1.4%
7 21
 
0.8%
8 25
 
0.9%
9 15
 
0.6%
ValueCountFrequency (%)
1463 1
< 0.1%
885 1
< 0.1%
301 1
< 0.1%
278 1
< 0.1%
200 1
< 0.1%
147 1
< 0.1%
115 1
< 0.1%
110 1
< 0.1%
108 1
< 0.1%
100 1
< 0.1%

2021-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct53
Distinct (%)2.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.6702509
Minimum0
Maximum1038
Zeros1724
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:02.555852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum1038
Range1038
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.240407
Coefficient of variation (CV)9.8269443
Kurtosis1133.2786
Mean2.6702509
Median Absolute Deviation (MAD)0
Skewness31.536499
Sum6705
Variance688.55895
MonotonicityNot monotonic
2024-03-23T14:45:02.824169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1724
63.4%
1 310
 
11.4%
2 125
 
4.6%
3 68
 
2.5%
4 48
 
1.8%
5 38
 
1.4%
6 36
 
1.3%
7 23
 
0.8%
8 17
 
0.6%
9 14
 
0.5%
Other values (43) 108
 
4.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1724
63.4%
1 310
 
11.4%
2 125
 
4.6%
3 68
 
2.5%
4 48
 
1.8%
5 38
 
1.4%
6 36
 
1.3%
7 23
 
0.8%
8 17
 
0.6%
9 14
 
0.5%
ValueCountFrequency (%)
1038 1
< 0.1%
668 1
< 0.1%
214 1
< 0.1%
185 1
< 0.1%
144 1
< 0.1%
129 1
< 0.1%
92 1
< 0.1%
90 1
< 0.1%
78 1
< 0.1%
72 1
< 0.1%

2022-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct49
Distinct (%)2.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.1358025
Minimum0
Maximum807
Zeros1800
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:03.073776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.5
Maximum807
Range807
Interquartile range (IQR)1

Descriptive statistics

Standard deviation20.884493
Coefficient of variation (CV)9.7782884
Kurtosis1076.5321
Mean2.1358025
Median Absolute Deviation (MAD)0
Skewness30.770983
Sum5363
Variance436.16203
MonotonicityNot monotonic
2024-03-23T14:45:03.464412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1800
66.2%
1 296
 
10.9%
2 105
 
3.9%
3 73
 
2.7%
4 53
 
1.9%
5 32
 
1.2%
6 26
 
1.0%
7 17
 
0.6%
9 14
 
0.5%
8 12
 
0.4%
Other values (39) 83
 
3.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1800
66.2%
1 296
 
10.9%
2 105
 
3.9%
3 73
 
2.7%
4 53
 
1.9%
5 32
 
1.2%
6 26
 
1.0%
7 17
 
0.6%
8 12
 
0.4%
9 14
 
0.5%
ValueCountFrequency (%)
807 1
< 0.1%
554 1
< 0.1%
184 1
< 0.1%
141 1
< 0.1%
113 1
< 0.1%
97 1
< 0.1%
78 1
< 0.1%
70 1
< 0.1%
68 1
< 0.1%
61 1
< 0.1%

2022-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct52
Distinct (%)2.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.2445241
Minimum0
Maximum853
Zeros1777
Zeros (%)65.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:03.793498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum853
Range853
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.321607
Coefficient of variation (CV)9.9449174
Kurtosis1080.6194
Mean2.2445241
Median Absolute Deviation (MAD)0
Skewness31.062981
Sum5636
Variance498.25413
MonotonicityNot monotonic
2024-03-23T14:45:04.062581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1777
65.4%
1 319
 
11.7%
2 97
 
3.6%
3 70
 
2.6%
4 48
 
1.8%
5 36
 
1.3%
6 35
 
1.3%
7 19
 
0.7%
10 12
 
0.4%
8 12
 
0.4%
Other values (42) 86
 
3.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1777
65.4%
1 319
 
11.7%
2 97
 
3.6%
3 70
 
2.6%
4 48
 
1.8%
5 36
 
1.3%
6 35
 
1.3%
7 19
 
0.7%
8 12
 
0.4%
9 8
 
0.3%
ValueCountFrequency (%)
853 1
< 0.1%
623 1
< 0.1%
147 1
< 0.1%
132 1
< 0.1%
124 1
< 0.1%
113 1
< 0.1%
83 1
< 0.1%
76 2
0.1%
60 1
< 0.1%
55 1
< 0.1%

2022-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct54
Distinct (%)2.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.8084429
Minimum0
Maximum1031
Zeros1710
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:04.395374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum1031
Range1031
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.383123
Coefficient of variation (CV)9.7502866
Kurtosis1048.6172
Mean2.8084429
Median Absolute Deviation (MAD)0
Skewness30.595522
Sum7052
Variance749.8354
MonotonicityNot monotonic
2024-03-23T14:45:05.339840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1710
62.9%
1 317
 
11.7%
2 125
 
4.6%
3 62
 
2.3%
4 50
 
1.8%
6 39
 
1.4%
5 36
 
1.3%
7 29
 
1.1%
8 18
 
0.7%
9 17
 
0.6%
Other values (44) 108
 
4.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1710
62.9%
1 317
 
11.7%
2 125
 
4.6%
3 62
 
2.3%
4 50
 
1.8%
5 36
 
1.3%
6 39
 
1.4%
7 29
 
1.1%
8 18
 
0.7%
9 17
 
0.6%
ValueCountFrequency (%)
1031 1
< 0.1%
777 1
< 0.1%
195 1
< 0.1%
187 1
< 0.1%
144 1
< 0.1%
143 1
< 0.1%
103 1
< 0.1%
86 2
0.1%
78 1
< 0.1%
75 1
< 0.1%

2022-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct60
Distinct (%)2.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.0908005
Minimum0
Maximum1105
Zeros1674
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:05.725041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1105
Range1105
Interquartile range (IQR)1

Descriptive statistics

Standard deviation29.852488
Coefficient of variation (CV)9.6584973
Kurtosis1017.695
Mean3.0908005
Median Absolute Deviation (MAD)0
Skewness30.1494
Sum7761
Variance891.17103
MonotonicityNot monotonic
2024-03-23T14:45:06.007923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1674
61.6%
1 336
 
12.4%
2 115
 
4.2%
3 59
 
2.2%
4 59
 
2.2%
7 43
 
1.6%
5 38
 
1.4%
6 32
 
1.2%
9 18
 
0.7%
8 17
 
0.6%
Other values (50) 120
 
4.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1674
61.6%
1 336
 
12.4%
2 115
 
4.2%
3 59
 
2.2%
4 59
 
2.2%
5 38
 
1.4%
6 32
 
1.2%
7 43
 
1.6%
8 17
 
0.6%
9 18
 
0.7%
ValueCountFrequency (%)
1105 1
< 0.1%
864 1
< 0.1%
224 1
< 0.1%
211 1
< 0.1%
174 1
< 0.1%
151 1
< 0.1%
117 1
< 0.1%
110 1
< 0.1%
101 1
< 0.1%
74 1
< 0.1%

2022-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct58
Distinct (%)2.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.2054958
Minimum0
Maximum1155
Zeros1629
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:06.248888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1155
Range1155
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.503621
Coefficient of variation (CV)9.5160383
Kurtosis1044.246
Mean3.2054958
Median Absolute Deviation (MAD)0
Skewness30.431442
Sum8049
Variance930.4709
MonotonicityNot monotonic
2024-03-23T14:45:06.486292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1629
59.9%
1 336
 
12.4%
2 142
 
5.2%
3 76
 
2.8%
4 48
 
1.8%
6 44
 
1.6%
5 34
 
1.3%
7 33
 
1.2%
9 25
 
0.9%
8 19
 
0.7%
Other values (48) 125
 
4.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1629
59.9%
1 336
 
12.4%
2 142
 
5.2%
3 76
 
2.8%
4 48
 
1.8%
5 34
 
1.3%
6 44
 
1.6%
7 33
 
1.2%
8 19
 
0.7%
9 25
 
0.9%
ValueCountFrequency (%)
1155 1
< 0.1%
845 1
< 0.1%
254 1
< 0.1%
234 1
< 0.1%
149 1
< 0.1%
144 1
< 0.1%
128 1
< 0.1%
91 1
< 0.1%
88 1
< 0.1%
83 1
< 0.1%

2022-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct50
Distinct (%)2.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.3998407
Minimum0
Maximum887
Zeros1730
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:06.766635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum887
Range887
Interquartile range (IQR)1

Descriptive statistics

Standard deviation23.351946
Coefficient of variation (CV)9.7306233
Kurtosis1061.4195
Mean2.3998407
Median Absolute Deviation (MAD)0
Skewness30.75742
Sum6026
Variance545.31337
MonotonicityNot monotonic
2024-03-23T14:45:07.083979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1730
63.6%
1 326
 
12.0%
2 114
 
4.2%
3 69
 
2.5%
4 58
 
2.1%
5 33
 
1.2%
6 33
 
1.2%
7 28
 
1.0%
12 14
 
0.5%
9 13
 
0.5%
Other values (40) 93
 
3.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1730
63.6%
1 326
 
12.0%
2 114
 
4.2%
3 69
 
2.5%
4 58
 
2.1%
5 33
 
1.2%
6 33
 
1.2%
7 28
 
1.0%
8 12
 
0.4%
9 13
 
0.5%
ValueCountFrequency (%)
887 1
< 0.1%
652 1
< 0.1%
173 1
< 0.1%
170 1
< 0.1%
119 1
< 0.1%
114 1
< 0.1%
96 1
< 0.1%
74 1
< 0.1%
69 1
< 0.1%
62 1
< 0.1%

2022-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct42
Distinct (%)1.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.8482676
Minimum0
Maximum673
Zeros1815
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:07.355289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum673
Range673
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.112609
Coefficient of variation (CV)9.7997762
Kurtosis1028.5975
Mean1.8482676
Median Absolute Deviation (MAD)0
Skewness30.34565
Sum4641
Variance328.06661
MonotonicityNot monotonic
2024-03-23T14:45:07.596149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 1815
66.8%
1 308
 
11.3%
2 103
 
3.8%
3 72
 
2.6%
4 45
 
1.7%
5 36
 
1.3%
6 22
 
0.8%
7 18
 
0.7%
8 15
 
0.6%
9 10
 
0.4%
Other values (32) 67
 
2.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1815
66.8%
1 308
 
11.3%
2 103
 
3.8%
3 72
 
2.6%
4 45
 
1.7%
5 36
 
1.3%
6 22
 
0.8%
7 18
 
0.7%
8 15
 
0.6%
9 10
 
0.4%
ValueCountFrequency (%)
673 1
< 0.1%
524 1
< 0.1%
126 2
0.1%
119 1
< 0.1%
82 1
< 0.1%
77 1
< 0.1%
56 1
< 0.1%
54 1
< 0.1%
52 1
< 0.1%
42 1
< 0.1%

2022-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct42
Distinct (%)1.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.6352051
Minimum0
Maximum625
Zeros1883
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:07.825092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile5
Maximum625
Range625
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation16.31119
Coefficient of variation (CV)9.9750117
Kurtosis1081.4801
Mean1.6352051
Median Absolute Deviation (MAD)0
Skewness31.049954
Sum4106
Variance266.05492
MonotonicityNot monotonic
2024-03-23T14:45:08.108079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 1883
69.3%
1 269
 
9.9%
2 96
 
3.5%
3 74
 
2.7%
4 37
 
1.4%
5 31
 
1.1%
6 23
 
0.8%
7 19
 
0.7%
8 9
 
0.3%
9 8
 
0.3%
Other values (32) 62
 
2.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1883
69.3%
1 269
 
9.9%
2 96
 
3.5%
3 74
 
2.7%
4 37
 
1.4%
5 31
 
1.1%
6 23
 
0.8%
7 19
 
0.7%
8 9
 
0.3%
9 8
 
0.3%
ValueCountFrequency (%)
625 1
< 0.1%
451 1
< 0.1%
115 1
< 0.1%
114 1
< 0.1%
84 1
< 0.1%
75 1
< 0.1%
67 1
< 0.1%
55 1
< 0.1%
46 1
< 0.1%
42 1
< 0.1%

2022-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct41
Distinct (%)1.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.5217045
Minimum0
Maximum609
Zeros1878
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:08.385937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum609
Range609
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.318824
Coefficient of variation (CV)10.066885
Kurtosis1157.5397
Mean1.5217045
Median Absolute Deviation (MAD)0
Skewness31.974574
Sum3821
Variance234.66636
MonotonicityNot monotonic
2024-03-23T14:45:08.743285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 1878
69.1%
1 284
 
10.4%
2 111
 
4.1%
3 61
 
2.2%
4 37
 
1.4%
5 27
 
1.0%
6 25
 
0.9%
8 15
 
0.6%
7 12
 
0.4%
11 8
 
0.3%
Other values (31) 53
 
1.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1878
69.1%
1 284
 
10.4%
2 111
 
4.1%
3 61
 
2.2%
4 37
 
1.4%
5 27
 
1.0%
6 25
 
0.9%
7 12
 
0.4%
8 15
 
0.6%
9 4
 
0.1%
ValueCountFrequency (%)
609 1
< 0.1%
393 1
< 0.1%
115 1
< 0.1%
105 1
< 0.1%
70 2
0.1%
60 1
< 0.1%
49 1
< 0.1%
41 1
< 0.1%
40 2
0.1%
35 1
< 0.1%

2022-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct41
Distinct (%)1.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.5810434
Minimum0
Maximum651
Zeros1885
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:09.015403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum651
Range651
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.180546
Coefficient of variation (CV)10.234093
Kurtosis1188.7335
Mean1.5810434
Median Absolute Deviation (MAD)0
Skewness32.364219
Sum3970
Variance261.81006
MonotonicityNot monotonic
2024-03-23T14:45:09.239229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 1885
69.4%
1 280
 
10.3%
2 96
 
3.5%
3 64
 
2.4%
4 41
 
1.5%
5 31
 
1.1%
6 24
 
0.9%
7 17
 
0.6%
8 15
 
0.6%
10 6
 
0.2%
Other values (31) 52
 
1.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1885
69.4%
1 280
 
10.3%
2 96
 
3.5%
3 64
 
2.4%
4 41
 
1.5%
5 31
 
1.1%
6 24
 
0.9%
7 17
 
0.6%
8 15
 
0.6%
9 1
 
< 0.1%
ValueCountFrequency (%)
651 1
< 0.1%
404 1
< 0.1%
126 1
< 0.1%
108 1
< 0.1%
73 1
< 0.1%
64 1
< 0.1%
56 1
< 0.1%
54 1
< 0.1%
49 2
0.1%
44 1
< 0.1%

2022-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct43
Distinct (%)1.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.5651135
Minimum0
Maximum682
Zeros1889
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:09.640351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum682
Range682
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.560899
Coefficient of variation (CV)10.581277
Kurtosis1240.5063
Mean1.5651135
Median Absolute Deviation (MAD)0
Skewness32.833499
Sum3930
Variance274.26339
MonotonicityNot monotonic
2024-03-23T14:45:09.910982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 1889
69.5%
1 291
 
10.7%
2 88
 
3.2%
3 59
 
2.2%
4 50
 
1.8%
5 24
 
0.9%
6 23
 
0.8%
7 18
 
0.7%
8 9
 
0.3%
9 7
 
0.3%
Other values (33) 53
 
1.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1889
69.5%
1 291
 
10.7%
2 88
 
3.2%
3 59
 
2.2%
4 50
 
1.8%
5 24
 
0.9%
6 23
 
0.8%
7 18
 
0.7%
8 9
 
0.3%
9 7
 
0.3%
ValueCountFrequency (%)
682 1
< 0.1%
371 1
< 0.1%
181 1
< 0.1%
97 1
< 0.1%
80 1
< 0.1%
73 1
< 0.1%
64 1
< 0.1%
55 1
< 0.1%
49 1
< 0.1%
46 1
< 0.1%

2022-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct41
Distinct (%)1.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.5802469
Minimum0
Maximum695
Zeros1892
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:10.181354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum695
Range695
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.464444
Coefficient of variation (CV)10.418906
Kurtosis1334.632
Mean1.5802469
Median Absolute Deviation (MAD)0
Skewness34.018003
Sum3968
Variance271.07792
MonotonicityNot monotonic
2024-03-23T14:45:10.485816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 1892
69.6%
1 265
 
9.7%
2 114
 
4.2%
3 68
 
2.5%
4 40
 
1.5%
5 26
 
1.0%
6 15
 
0.6%
8 13
 
0.5%
9 11
 
0.4%
10 9
 
0.3%
Other values (31) 58
 
2.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1892
69.6%
1 265
 
9.7%
2 114
 
4.2%
3 68
 
2.5%
4 40
 
1.5%
5 26
 
1.0%
6 15
 
0.6%
7 5
 
0.2%
8 13
 
0.5%
9 11
 
0.4%
ValueCountFrequency (%)
695 1
< 0.1%
347 1
< 0.1%
149 1
< 0.1%
109 1
< 0.1%
77 1
< 0.1%
62 1
< 0.1%
58 1
< 0.1%
53 1
< 0.1%
48 2
0.1%
44 1
< 0.1%

2023-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct42
Distinct (%)1.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.573875
Minimum0
Maximum676
Zeros1889
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:10.775771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum676
Range676
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.19911
Coefficient of variation (CV)10.292501
Kurtosis1287.775
Mean1.573875
Median Absolute Deviation (MAD)0
Skewness33.415103
Sum3952
Variance262.41117
MonotonicityNot monotonic
2024-03-23T14:45:11.033425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 1889
69.5%
1 252
 
9.3%
2 131
 
4.8%
3 62
 
2.3%
4 40
 
1.5%
5 33
 
1.2%
8 15
 
0.6%
7 12
 
0.4%
6 10
 
0.4%
9 7
 
0.3%
Other values (32) 60
 
2.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1889
69.5%
1 252
 
9.3%
2 131
 
4.8%
3 62
 
2.3%
4 40
 
1.5%
5 33
 
1.2%
6 10
 
0.4%
7 12
 
0.4%
8 15
 
0.6%
9 7
 
0.3%
ValueCountFrequency (%)
676 1
< 0.1%
350 1
< 0.1%
165 1
< 0.1%
113 1
< 0.1%
69 1
< 0.1%
62 1
< 0.1%
55 1
< 0.1%
52 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%

2023-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct57
Distinct (%)2.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.8936679
Minimum0
Maximum1264
Zeros1741
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:11.309395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum1264
Range1264
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.097985
Coefficient of variation (CV)10.401327
Kurtosis1306.3906
Mean2.8936679
Median Absolute Deviation (MAD)0
Skewness33.6123
Sum7266
Variance905.88869
MonotonicityNot monotonic
2024-03-23T14:45:11.661222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1741
64.1%
1 273
 
10.0%
2 120
 
4.4%
3 74
 
2.7%
4 62
 
2.3%
5 42
 
1.5%
6 29
 
1.1%
7 27
 
1.0%
8 20
 
0.7%
10 12
 
0.4%
Other values (47) 111
 
4.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1741
64.1%
1 273
 
10.0%
2 120
 
4.4%
3 74
 
2.7%
4 62
 
2.3%
5 42
 
1.5%
6 29
 
1.1%
7 27
 
1.0%
8 20
 
0.7%
9 11
 
0.4%
ValueCountFrequency (%)
1264 1
< 0.1%
620 1
< 0.1%
343 1
< 0.1%
217 1
< 0.1%
143 1
< 0.1%
108 1
< 0.1%
87 1
< 0.1%
84 1
< 0.1%
79 1
< 0.1%
72 1
< 0.1%

2023-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct64
Distinct (%)2.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.6121067
Minimum0
Maximum1575
Zeros1667
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:11.984881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1575
Range1575
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.316073
Coefficient of variation (CV)10.330833
Kurtosis1323.2639
Mean3.6121067
Median Absolute Deviation (MAD)0
Skewness33.768745
Sum9070
Variance1392.4893
MonotonicityNot monotonic
2024-03-23T14:45:12.250782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1667
61.3%
1 302
 
11.1%
2 114
 
4.2%
3 77
 
2.8%
5 55
 
2.0%
4 54
 
2.0%
6 29
 
1.1%
8 25
 
0.9%
7 24
 
0.9%
9 18
 
0.7%
Other values (54) 146
 
5.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1667
61.3%
1 302
 
11.1%
2 114
 
4.2%
3 77
 
2.8%
4 54
 
2.0%
5 55
 
2.0%
6 29
 
1.1%
7 24
 
0.9%
8 25
 
0.9%
9 18
 
0.7%
ValueCountFrequency (%)
1575 1
< 0.1%
747 1
< 0.1%
413 1
< 0.1%
289 1
< 0.1%
183 1
< 0.1%
124 1
< 0.1%
114 1
< 0.1%
108 2
0.1%
93 1
< 0.1%
92 1
< 0.1%

2023-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.255675
Minimum0
Maximum1396
Zeros1673
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:12.523061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1396
Range1396
Interquartile range (IQR)1

Descriptive statistics

Standard deviation33.284838
Coefficient of variation (CV)10.223636
Kurtosis1295.8003
Mean3.255675
Median Absolute Deviation (MAD)0
Skewness33.402465
Sum8175
Variance1107.8804
MonotonicityNot monotonic
2024-03-23T14:45:12.803705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1673
61.6%
1 296
 
10.9%
2 127
 
4.7%
3 80
 
2.9%
4 59
 
2.2%
5 49
 
1.8%
6 36
 
1.3%
9 22
 
0.8%
7 21
 
0.8%
8 18
 
0.7%
Other values (51) 130
 
4.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1673
61.6%
1 296
 
10.9%
2 127
 
4.7%
3 80
 
2.9%
4 59
 
2.2%
5 49
 
1.8%
6 36
 
1.3%
7 21
 
0.8%
8 18
 
0.7%
9 22
 
0.8%
ValueCountFrequency (%)
1396 1
< 0.1%
674 1
< 0.1%
379 1
< 0.1%
275 1
< 0.1%
169 1
< 0.1%
104 1
< 0.1%
99 2
0.1%
92 1
< 0.1%
91 1
< 0.1%
86 1
< 0.1%

2023-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)2.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.7821585
Minimum0
Maximum1544
Zeros1647
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:13.086467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum1544
Range1544
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.774514
Coefficient of variation (CV)9.9875544
Kurtosis1202.6465
Mean3.7821585
Median Absolute Deviation (MAD)0
Skewness32.216789
Sum9497
Variance1426.9139
MonotonicityNot monotonic
2024-03-23T14:45:13.792415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1647
60.6%
1 279
 
10.3%
2 133
 
4.9%
3 81
 
3.0%
4 57
 
2.1%
6 47
 
1.7%
5 38
 
1.4%
7 31
 
1.1%
8 25
 
0.9%
10 16
 
0.6%
Other values (58) 157
 
5.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1647
60.6%
1 279
 
10.3%
2 133
 
4.9%
3 81
 
3.0%
4 57
 
2.1%
5 38
 
1.4%
6 47
 
1.7%
7 31
 
1.1%
8 25
 
0.9%
9 16
 
0.6%
ValueCountFrequency (%)
1544 1
< 0.1%
833 1
< 0.1%
426 1
< 0.1%
335 1
< 0.1%
202 1
< 0.1%
120 1
< 0.1%
113 1
< 0.1%
108 1
< 0.1%
107 1
< 0.1%
103 1
< 0.1%

2023-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct65
Distinct (%)2.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.7248108
Minimum0
Maximum1549
Zeros1658
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:14.083109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1549
Range1549
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.390237
Coefficient of variation (CV)10.038157
Kurtosis1243.0829
Mean3.7248108
Median Absolute Deviation (MAD)0
Skewness32.649342
Sum9353
Variance1398.0298
MonotonicityNot monotonic
2024-03-23T14:45:14.408336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1658
61.0%
1 270
 
9.9%
2 125
 
4.6%
3 80
 
2.9%
4 57
 
2.1%
6 53
 
1.9%
5 48
 
1.8%
8 27
 
1.0%
7 26
 
1.0%
9 17
 
0.6%
Other values (55) 150
 
5.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1658
61.0%
1 270
 
9.9%
2 125
 
4.6%
3 80
 
2.9%
4 57
 
2.1%
5 48
 
1.8%
6 53
 
1.9%
7 26
 
1.0%
8 27
 
1.0%
9 17
 
0.6%
ValueCountFrequency (%)
1549 1
< 0.1%
771 1
< 0.1%
429 1
< 0.1%
351 1
< 0.1%
201 1
< 0.1%
129 1
< 0.1%
115 1
< 0.1%
113 1
< 0.1%
105 1
< 0.1%
100 1
< 0.1%

2023-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct60
Distinct (%)2.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.4297093
Minimum0
Maximum1445
Zeros1667
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:14.678990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1445
Range1445
Interquartile range (IQR)1

Descriptive statistics

Standard deviation34.561345
Coefficient of variation (CV)10.077048
Kurtosis1276.6069
Mean3.4297093
Median Absolute Deviation (MAD)0
Skewness33.059731
Sum8612
Variance1194.4866
MonotonicityNot monotonic
2024-03-23T14:45:14.947945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1667
61.3%
1 280
 
10.3%
2 123
 
4.5%
3 81
 
3.0%
4 59
 
2.2%
5 56
 
2.1%
6 38
 
1.4%
7 28
 
1.0%
8 21
 
0.8%
11 18
 
0.7%
Other values (50) 140
 
5.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1667
61.3%
1 280
 
10.3%
2 123
 
4.5%
3 81
 
3.0%
4 59
 
2.2%
5 56
 
2.1%
6 38
 
1.4%
7 28
 
1.0%
8 21
 
0.8%
9 17
 
0.6%
ValueCountFrequency (%)
1445 1
< 0.1%
686 1
< 0.1%
391 1
< 0.1%
331 1
< 0.1%
186 1
< 0.1%
118 1
< 0.1%
115 1
< 0.1%
103 1
< 0.1%
91 1
< 0.1%
90 1
< 0.1%

2023-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)2.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.6869773
Minimum0
Maximum1527
Zeros1632
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:15.211772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1527
Range1527
Interquartile range (IQR)1

Descriptive statistics

Standard deviation36.744482
Coefficient of variation (CV)9.966018
Kurtosis1255.653
Mean3.6869773
Median Absolute Deviation (MAD)0
Skewness32.805182
Sum9258
Variance1350.157
MonotonicityNot monotonic
2024-03-23T14:45:15.500616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1632
60.0%
1 296
 
10.9%
2 119
 
4.4%
3 87
 
3.2%
4 61
 
2.2%
5 44
 
1.6%
6 43
 
1.6%
7 38
 
1.4%
8 24
 
0.9%
9 17
 
0.6%
Other values (53) 150
 
5.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1632
60.0%
1 296
 
10.9%
2 119
 
4.4%
3 87
 
3.2%
4 61
 
2.2%
5 44
 
1.6%
6 43
 
1.6%
7 38
 
1.4%
8 24
 
0.9%
9 17
 
0.6%
ValueCountFrequency (%)
1527 1
< 0.1%
756 1
< 0.1%
397 1
< 0.1%
346 1
< 0.1%
199 1
< 0.1%
131 1
< 0.1%
120 1
< 0.1%
119 1
< 0.1%
103 1
< 0.1%
101 1
< 0.1%

2023-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)2.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.5718837
Minimum0
Maximum1506
Zeros1640
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:15.740951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1506
Range1506
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.979702
Coefficient of variation (CV)10.073033
Kurtosis1282.655
Mean3.5718837
Median Absolute Deviation (MAD)0
Skewness33.155086
Sum8969
Variance1294.539
MonotonicityNot monotonic
2024-03-23T14:45:15.973448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1640
60.3%
1 295
 
10.9%
2 134
 
4.9%
3 71
 
2.6%
4 63
 
2.3%
5 56
 
2.1%
7 35
 
1.3%
6 27
 
1.0%
8 25
 
0.9%
9 22
 
0.8%
Other values (51) 143
 
5.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1640
60.3%
1 295
 
10.9%
2 134
 
4.9%
3 71
 
2.6%
4 63
 
2.3%
5 56
 
2.1%
6 27
 
1.0%
7 35
 
1.3%
8 25
 
0.9%
9 22
 
0.8%
ValueCountFrequency (%)
1506 1
< 0.1%
718 1
< 0.1%
399 1
< 0.1%
337 1
< 0.1%
194 1
< 0.1%
124 1
< 0.1%
118 1
< 0.1%
108 1
< 0.1%
104 1
< 0.1%
101 1
< 0.1%

2023-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct58
Distinct (%)2.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.3066507
Minimum0
Maximum1398
Zeros1669
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:16.229621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1398
Range1398
Interquartile range (IQR)1

Descriptive statistics

Standard deviation33.384766
Coefficient of variation (CV)10.096248
Kurtosis1292.8987
Mean3.3066507
Median Absolute Deviation (MAD)0
Skewness33.377018
Sum8303
Variance1114.5426
MonotonicityNot monotonic
2024-03-23T14:45:16.495737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1669
61.4%
1 289
 
10.6%
2 129
 
4.7%
3 81
 
3.0%
4 54
 
2.0%
5 50
 
1.8%
6 35
 
1.3%
7 32
 
1.2%
8 21
 
0.8%
10 18
 
0.7%
Other values (48) 133
 
4.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1669
61.4%
1 289
 
10.6%
2 129
 
4.7%
3 81
 
3.0%
4 54
 
2.0%
5 50
 
1.8%
6 35
 
1.3%
7 32
 
1.2%
8 21
 
0.8%
9 17
 
0.6%
ValueCountFrequency (%)
1398 1
< 0.1%
694 1
< 0.1%
323 1
< 0.1%
300 1
< 0.1%
160 1
< 0.1%
119 1
< 0.1%
115 1
< 0.1%
100 2
0.1%
90 2
0.1%
80 1
< 0.1%

2023-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct55
Distinct (%)2.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.9880526
Minimum0
Maximum1238
Zeros1690
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:16.794137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1238
Range1238
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.097714
Coefficient of variation (CV)10.072685
Kurtosis1235.3985
Mean2.9880526
Median Absolute Deviation (MAD)0
Skewness32.734901
Sum7503
Variance905.87237
MonotonicityNot monotonic
2024-03-23T14:45:17.105753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1690
62.2%
1 301
 
11.1%
2 127
 
4.7%
3 75
 
2.8%
4 66
 
2.4%
5 37
 
1.4%
6 29
 
1.1%
8 27
 
1.0%
7 23
 
0.8%
9 22
 
0.8%
Other values (45) 114
 
4.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1690
62.2%
1 301
 
11.1%
2 127
 
4.7%
3 75
 
2.8%
4 66
 
2.4%
5 37
 
1.4%
6 29
 
1.1%
7 23
 
0.8%
8 27
 
1.0%
9 22
 
0.8%
ValueCountFrequency (%)
1238 1
< 0.1%
678 1
< 0.1%
269 1
< 0.1%
261 1
< 0.1%
164 1
< 0.1%
123 1
< 0.1%
94 1
< 0.1%
85 1
< 0.1%
83 1
< 0.1%
74 1
< 0.1%

2023-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct51
Distinct (%)2.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.471127
Minimum0
Maximum1044
Zeros1742
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:17.372373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum1044
Range1044
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.048953
Coefficient of variation (CV)10.136651
Kurtosis1282.0729
Mean2.471127
Median Absolute Deviation (MAD)0
Skewness33.31424
Sum6205
Variance627.45006
MonotonicityNot monotonic
2024-03-23T14:45:17.779666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1742
64.1%
1 301
 
11.1%
2 114
 
4.2%
3 88
 
3.2%
4 63
 
2.3%
5 36
 
1.3%
7 22
 
0.8%
6 20
 
0.7%
8 18
 
0.7%
9 14
 
0.5%
Other values (41) 93
 
3.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1742
64.1%
1 301
 
11.1%
2 114
 
4.2%
3 88
 
3.2%
4 63
 
2.3%
5 36
 
1.3%
6 20
 
0.7%
7 22
 
0.8%
8 18
 
0.7%
9 14
 
0.5%
ValueCountFrequency (%)
1044 1
< 0.1%
543 1
< 0.1%
232 1
< 0.1%
200 1
< 0.1%
117 1
< 0.1%
93 1
< 0.1%
86 1
< 0.1%
67 1
< 0.1%
66 1
< 0.1%
63 1
< 0.1%

2024-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct57
Distinct (%)2.2%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean2.929078
Minimum0
Maximum1250
Zeros1713
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T14:45:18.022663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1250
Range1250
Interquartile range (IQR)1

Descriptive statistics

Standard deviation29.937942
Coefficient of variation (CV)10.220944
Kurtosis1280.9858
Mean2.929078
Median Absolute Deviation (MAD)0
Skewness33.314166
Sum7434
Variance896.28034
MonotonicityNot monotonic
2024-03-23T14:45:18.278398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1713
63.0%
1 311
 
11.4%
2 112
 
4.1%
3 82
 
3.0%
4 60
 
2.2%
5 48
 
1.8%
6 28
 
1.0%
7 28
 
1.0%
8 21
 
0.8%
10 17
 
0.6%
Other values (47) 118
 
4.3%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 1713
63.0%
1 311
 
11.4%
2 112
 
4.1%
3 82
 
3.0%
4 60
 
2.2%
5 48
 
1.8%
6 28
 
1.0%
7 28
 
1.0%
8 21
 
0.8%
9 15
 
0.6%
ValueCountFrequency (%)
1250 1
< 0.1%
654 1
< 0.1%
299 1
< 0.1%
248 1
< 0.1%
157 1
< 0.1%
116 1
< 0.1%
85 1
< 0.1%
81 1
< 0.1%
80 1
< 0.1%
79 1
< 0.1%

Sample

아파트매매 거래규모별2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국 /20㎡이하002111111112111111100111111211111101003211111111011111111111213222412225344444222349347446536510967757889810811761010118877168856117797759766766576675666810566557756695466574671110995661054691097121310678667766871095665485555655844745
1전국 /21~40㎡268613812414111310110015718226121714513015516214214515511810314315111212214017919316817815411212014277847310414212111513113915415813311610683103131119909983848511914517098108161150174169144125140160144159621171681371101111428371110124163747811612916818663688012711313295127147146124119126142135170133118125136171174144154138126121144136116948613013512513813312912914312611391931251031171351301171087898888887127909073808290112746467737370707676797294106127111132137114121197179921011271522201501441661591591341341441391121159270831031171289677676054555352638571848268796871696064
2전국 /41~60㎡258103515451411132312399601025167519622838205712001040121812741143109311071148946128313261205124411831530179115071444141110609869957975675879041072107110401181128912141483142312011199906104312271120902890838756873115013041487110612231508133512461151104811341096124011461492355821100596110907717826425669811009175634172810211166133819285646788631368125314587761202134413291036100210401089128015961268140611931158163317131491146715551286117214091298106380579310821218119812591310131712521454133011737348351035100311351318130112151026784932841872925115890781588179382210071193781645607552656714709701869851807107311851510133216151539958115319051890109510411221164420471337127815541338136112991294132412041111885668554623777864845652524451393404371347350620747674833771686756718694678543654
3전국 /61~85㎡406124420281900188715731228122323122703381925721431119613121296130410991266127910361643159315171477140817692318179218621719131612791404876960792121715461769174120622047201521792073173417291371160319341747135613471258122712091661213725241873217523752244190817261639158215711690173127285691191142614261393112811379707991447167426794931148155118752166332179410361324228721542265139019492154220017361582178417702055259822312155193620052720287925562430244520841871235522161896129912801538176418661932210922102087258424331894132713551571154017822204227623021982144017251695171817422151166514761367136815351939236415581222113210021124131412811252164317131696223025573450294833852959180520613860388923142263255635144007229821032375195920782016210821981934167314631038807853103111051155887673625609651682695676126415751396154415491445152715061398123810441250
4전국 /86~100㎡2878117103104726254106134174112635248444245555145626559565972938182625450423134387677939296938689897175597472715553484846699411281899782726768665770651242147585350474744346271103184269779213226395110594987110297907960767989117948387901251281151019889771029884575163728188102961001191099453656776761071101117757707174831047660496465941086546494447816154718082109139182154165139718317217095908913816795808068876874796765403224242837472923161719212526496258646962666454443341
5전국 /101~135㎡14735469665162348435533063084010426893312602682822612433763572393424043403293323965314684574363292942952302392704406566256277827207426667045896164985766515494524774564114276207881027738805933789733732701665600626733963237474514525489458459477341569641100020137452464675312082473234638077728276337717938047026496837118231091881739675703936992966922966839727916821799530448510569644675821804792987927974463471545525611776867892752504627638671704883589539460475521760901515404354288314357386375509534530720900118010191092940501601124312897217267871044108660654554343849545850649746839130121418414719522425417012611510510897109113217289275335351331346337300261200248
6전국 /136~165㎡39661551411219467661241651991637254565656639484658092807379951141159094100747871857711224715816320218921618522118217015118415716113413212113015218124640318320727522724022121423121118522837195159163158155205161125116166218294731191631851933218410314320219020920321321022017818617818621526823721018117022623823025229919919823123122314312814514615717922020019625123217811511412912714919020320018511914215517818622713313311611511017422412810380637386961051221371271732082842382502131181623113281731751842562641461381251091301071181069688654740324853654436232626252429466370758078878371595354
7전국 /166~198㎡10235844443125203660614420182017181527241528272225142946302532232126202321287253464651415342646136494138353071403039929253556279625750616058549416364344344138432548648120275254891062930457793807373657054525549567861674546667478737661587172764537474652579271667375574441464351676563603350505762834041383840626637272718272833324339374757828174643947951166354567888454433314830322728231915131217202218118117796122019242426262620211618
8전국 /198㎡초과81222222917143222244027019121725112117159752414127821161511108879917142816202931691242023211417331313176110152812311183926211526265819293661520151152718133325803881014194939815151622335884127821732526283530119331262219283939393212320282329222125273431472721272831151819212234253230142143212338172218202224292113139101819121821252123372722221323373222332031331817258524131312111028845610107553444489910797108777
9서울 /20㎡이하0000000000000000000000000000000000000000000000010000000000000000010010000311110110121111111122232221112223342253443226422233233222322222332222222562222222212112332322463352333212223333333422322232342232143222213412212
아파트매매 거래규모별2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
2708제주 제주시/198㎡초과<NA><NA><NA><NA><NA><NA>0000000000000000000000000000000001000000000000000000000000000000000000000000011000000000000000000000000001000100000000000000000000000000000000000100000000000001000000000000000000000000000000000000000000000000000
2709제주 서귀포시/20㎡이하<NA><NA><NA><NA><NA><NA>0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
2710제주 서귀포시/21~40㎡<NA><NA><NA><NA><NA><NA>0000001000000000001000000000000100000000000100000000011002001000010000001100010000112000021001000000100000000010321021000001101110000000000000101000010000010000001100020000111011000000000110110000000010000000000
2711제주 서귀포시/41~60㎡<NA><NA><NA><NA><NA><NA>0000001211000001111111101016111131010111111122211111111232222111111311111103411112011211111121111011220121111111111211112111111112111221111111111121101011110111011011101111211233321122311111121111011101110111000111
2712제주 서귀포시/61~85㎡<NA><NA><NA><NA><NA><NA>001112432111111212311111211111212211111113210101110111233210142311123111221121314324532333323221221221211744231122253664554273222321232333433334152212342213212223333433225233685566464443544442422212222232232322423
2713제주 서귀포시/86~100㎡<NA><NA><NA><NA><NA><NA>0000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
2714제주 서귀포시/101~135㎡<NA><NA><NA><NA><NA><NA>0000000101101001011010001000000100100100001000000001000000000000000000010100000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000110110111000101000000000000000000000000
2715제주 서귀포시/136~165㎡<NA><NA><NA><NA><NA><NA>0000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100002000000000
2716제주 서귀포시/166~198㎡<NA><NA><NA><NA><NA><NA>0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
2717제주 서귀포시/198㎡초과<NA><NA><NA><NA><NA><NA>0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000