Overview

Dataset statistics

Number of variables218
Number of observations2718
Missing cells48042
Missing cells (%)8.1%
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 주택 거래현황의 월별 거래규모별(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068469/fileData.do

Alerts

2006-01 has 252 (9.3%) missing valuesMissing
2006-02 has 252 (9.3%) missing valuesMissing
2006-03 has 252 (9.3%) missing valuesMissing
2006-04 has 252 (9.3%) missing valuesMissing
2006-05 has 252 (9.3%) missing valuesMissing
2006-06 has 252 (9.3%) missing valuesMissing
2006-07 has 270 (9.9%) missing valuesMissing
2006-08 has 270 (9.9%) missing valuesMissing
2006-09 has 270 (9.9%) missing valuesMissing
2006-10 has 270 (9.9%) missing valuesMissing
2006-11 has 270 (9.9%) missing valuesMissing
2006-12 has 270 (9.9%) missing valuesMissing
2007-01 has 270 (9.9%) missing valuesMissing
2007-02 has 270 (9.9%) missing valuesMissing
2007-03 has 270 (9.9%) missing valuesMissing
2007-04 has 270 (9.9%) missing valuesMissing
2007-05 has 270 (9.9%) missing valuesMissing
2007-06 has 270 (9.9%) missing valuesMissing
2007-07 has 270 (9.9%) missing valuesMissing
2007-08 has 270 (9.9%) missing valuesMissing
2007-09 has 270 (9.9%) missing valuesMissing
2007-10 has 270 (9.9%) missing valuesMissing
2007-11 has 270 (9.9%) missing valuesMissing
2007-12 has 270 (9.9%) missing valuesMissing
2008-01 has 270 (9.9%) missing valuesMissing
2008-02 has 270 (9.9%) missing valuesMissing
2008-03 has 270 (9.9%) missing valuesMissing
2008-04 has 270 (9.9%) missing valuesMissing
2008-05 has 270 (9.9%) missing valuesMissing
2008-06 has 252 (9.3%) missing valuesMissing
2008-07 has 252 (9.3%) missing valuesMissing
2008-08 has 252 (9.3%) missing valuesMissing
2008-09 has 252 (9.3%) missing valuesMissing
2008-10 has 252 (9.3%) missing valuesMissing
2008-11 has 252 (9.3%) missing valuesMissing
2008-12 has 252 (9.3%) missing valuesMissing
2009-01 has 252 (9.3%) missing valuesMissing
2009-02 has 252 (9.3%) missing valuesMissing
2009-03 has 252 (9.3%) missing valuesMissing
2009-04 has 252 (9.3%) missing valuesMissing
2009-05 has 252 (9.3%) missing valuesMissing
2009-06 has 252 (9.3%) missing valuesMissing
2009-07 has 252 (9.3%) missing valuesMissing
2009-08 has 252 (9.3%) missing valuesMissing
2009-09 has 252 (9.3%) missing valuesMissing
2009-10 has 252 (9.3%) missing valuesMissing
2009-11 has 252 (9.3%) missing valuesMissing
2009-12 has 252 (9.3%) missing valuesMissing
2010-01 has 252 (9.3%) missing valuesMissing
2010-02 has 252 (9.3%) missing valuesMissing
2010-03 has 252 (9.3%) missing valuesMissing
2010-04 has 252 (9.3%) missing valuesMissing
2010-05 has 252 (9.3%) missing valuesMissing
2010-06 has 252 (9.3%) missing valuesMissing
2010-07 has 225 (8.3%) missing valuesMissing
2010-08 has 225 (8.3%) missing valuesMissing
2010-09 has 225 (8.3%) missing valuesMissing
2010-10 has 225 (8.3%) missing valuesMissing
2010-11 has 225 (8.3%) missing valuesMissing
2010-12 has 225 (8.3%) missing valuesMissing
2011-01 has 225 (8.3%) missing valuesMissing
2011-02 has 225 (8.3%) missing valuesMissing
2011-03 has 225 (8.3%) missing valuesMissing
2011-04 has 225 (8.3%) missing valuesMissing
2011-05 has 225 (8.3%) missing valuesMissing
2011-06 has 225 (8.3%) missing valuesMissing
2011-07 has 225 (8.3%) missing valuesMissing
2011-08 has 225 (8.3%) missing valuesMissing
2011-09 has 225 (8.3%) missing valuesMissing
2011-10 has 225 (8.3%) missing valuesMissing
2011-11 has 225 (8.3%) missing valuesMissing
2011-12 has 225 (8.3%) missing valuesMissing
2012-01 has 225 (8.3%) missing valuesMissing
2012-02 has 225 (8.3%) missing valuesMissing
2012-03 has 225 (8.3%) missing valuesMissing
2012-04 has 225 (8.3%) missing valuesMissing
2012-05 has 225 (8.3%) missing valuesMissing
2012-06 has 225 (8.3%) missing valuesMissing
2012-07 has 216 (7.9%) missing valuesMissing
2012-08 has 216 (7.9%) missing valuesMissing
2012-09 has 216 (7.9%) missing valuesMissing
2012-10 has 216 (7.9%) missing valuesMissing
2012-11 has 216 (7.9%) missing valuesMissing
2012-12 has 216 (7.9%) missing valuesMissing
2013-01 has 216 (7.9%) missing valuesMissing
2013-02 has 216 (7.9%) missing valuesMissing
2013-03 has 216 (7.9%) missing valuesMissing
2013-04 has 216 (7.9%) missing valuesMissing
2013-05 has 216 (7.9%) missing valuesMissing
2013-06 has 216 (7.9%) missing valuesMissing
2013-07 has 216 (7.9%) missing valuesMissing
2013-08 has 216 (7.9%) missing valuesMissing
2013-09 has 207 (7.6%) missing valuesMissing
2013-10 has 216 (7.9%) missing valuesMissing
2013-11 has 216 (7.9%) missing valuesMissing
2013-12 has 216 (7.9%) missing valuesMissing
2014-01 has 216 (7.9%) missing valuesMissing
2014-02 has 216 (7.9%) missing valuesMissing
2014-03 has 216 (7.9%) missing valuesMissing
2014-04 has 216 (7.9%) missing valuesMissing
2014-05 has 216 (7.9%) missing valuesMissing
2014-06 has 216 (7.9%) missing valuesMissing
2014-07 has 207 (7.6%) missing valuesMissing
2014-08 has 207 (7.6%) missing valuesMissing
2014-09 has 207 (7.6%) missing valuesMissing
2014-10 has 207 (7.6%) missing valuesMissing
2014-11 has 207 (7.6%) missing valuesMissing
2014-12 has 207 (7.6%) missing valuesMissing
2015-01 has 207 (7.6%) missing valuesMissing
2015-02 has 207 (7.6%) missing valuesMissing
2015-03 has 207 (7.6%) missing valuesMissing
2015-04 has 207 (7.6%) missing valuesMissing
2015-05 has 207 (7.6%) missing valuesMissing
2015-06 has 207 (7.6%) missing valuesMissing
2015-07 has 180 (6.6%) missing valuesMissing
2015-08 has 180 (6.6%) missing valuesMissing
2015-09 has 180 (6.6%) missing valuesMissing
2015-10 has 180 (6.6%) missing valuesMissing
2015-11 has 180 (6.6%) missing valuesMissing
2015-12 has 180 (6.6%) missing valuesMissing
2016-01 has 180 (6.6%) missing valuesMissing
2016-02 has 180 (6.6%) missing valuesMissing
2016-03 has 180 (6.6%) missing valuesMissing
2016-04 has 180 (6.6%) missing valuesMissing
2016-05 has 180 (6.6%) missing valuesMissing
2016-06 has 180 (6.6%) missing valuesMissing
2016-07 has 207 (7.6%) missing valuesMissing
2016-08 has 207 (7.6%) missing valuesMissing
2016-09 has 207 (7.6%) missing valuesMissing
2016-10 has 207 (7.6%) missing valuesMissing
2016-11 has 207 (7.6%) missing valuesMissing
2016-12 has 207 (7.6%) missing valuesMissing
2017-01 has 207 (7.6%) missing valuesMissing
2017-02 has 207 (7.6%) missing valuesMissing
2017-03 has 207 (7.6%) missing valuesMissing
2017-04 has 207 (7.6%) missing valuesMissing
2017-05 has 207 (7.6%) missing valuesMissing
2017-06 has 207 (7.6%) missing valuesMissing
2017-07 has 207 (7.6%) missing valuesMissing
2017-08 has 207 (7.6%) missing valuesMissing
2017-09 has 207 (7.6%) missing valuesMissing
2017-10 has 207 (7.6%) missing valuesMissing
2017-11 has 207 (7.6%) missing valuesMissing
2017-12 has 207 (7.6%) missing valuesMissing
2018-01 has 207 (7.6%) missing valuesMissing
2018-02 has 207 (7.6%) missing valuesMissing
2018-03 has 207 (7.6%) missing valuesMissing
2018-04 has 207 (7.6%) missing valuesMissing
2018-05 has 207 (7.6%) missing valuesMissing
2018-06 has 207 (7.6%) missing valuesMissing
2018-07 has 198 (7.3%) missing valuesMissing
2018-08 has 207 (7.6%) missing valuesMissing
2018-09 has 207 (7.6%) missing valuesMissing
2018-10 has 207 (7.6%) missing valuesMissing
2018-11 has 207 (7.6%) missing valuesMissing
2018-12 has 207 (7.6%) missing valuesMissing
2019-01 has 207 (7.6%) missing valuesMissing
2019-02 has 207 (7.6%) missing valuesMissing
2019-03 has 207 (7.6%) missing valuesMissing
2019-04 has 207 (7.6%) missing valuesMissing
2019-05 has 207 (7.6%) missing valuesMissing
2019-06 has 207 (7.6%) missing valuesMissing
2019-07 has 207 (7.6%) missing valuesMissing
2019-08 has 207 (7.6%) missing valuesMissing
2019-09 has 207 (7.6%) missing valuesMissing
2019-10 has 207 (7.6%) missing valuesMissing
2019-11 has 207 (7.6%) missing valuesMissing
2019-12 has 207 (7.6%) missing valuesMissing
2020-01 has 207 (7.6%) missing valuesMissing
2020-02 has 207 (7.6%) missing valuesMissing
2020-03 has 207 (7.6%) missing valuesMissing
2020-04 has 207 (7.6%) missing valuesMissing
2020-05 has 207 (7.6%) missing valuesMissing
2020-06 has 207 (7.6%) missing valuesMissing
2020-07 has 207 (7.6%) missing valuesMissing
2020-08 has 207 (7.6%) missing valuesMissing
2020-09 has 207 (7.6%) missing valuesMissing
2020-10 has 207 (7.6%) missing valuesMissing
2020-11 has 207 (7.6%) missing valuesMissing
2020-12 has 207 (7.6%) missing valuesMissing
2021-01 has 207 (7.6%) missing valuesMissing
2021-02 has 207 (7.6%) missing valuesMissing
2021-03 has 207 (7.6%) missing valuesMissing
2021-04 has 207 (7.6%) missing valuesMissing
2021-05 has 207 (7.6%) 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 = 22.74718713)Skewed
2006-02 is highly skewed (γ1 = 26.37368058)Skewed
2006-03 is highly skewed (γ1 = 26.44855481)Skewed
2006-04 is highly skewed (γ1 = 25.8638676)Skewed
2006-05 is highly skewed (γ1 = 24.91102773)Skewed
2006-06 is highly skewed (γ1 = 25.69810144)Skewed
2006-07 is highly skewed (γ1 = 25.63329825)Skewed
2006-08 is highly skewed (γ1 = 24.44548793)Skewed
2006-09 is highly skewed (γ1 = 26.14059833)Skewed
2006-10 is highly skewed (γ1 = 24.98329457)Skewed
2006-11 is highly skewed (γ1 = 24.44953374)Skewed
2006-12 is highly skewed (γ1 = 22.57060997)Skewed
2007-01 is highly skewed (γ1 = 24.86131664)Skewed
2007-02 is highly skewed (γ1 = 24.13802803)Skewed
2007-03 is highly skewed (γ1 = 25.69651022)Skewed
2007-04 is highly skewed (γ1 = 24.75978979)Skewed
2007-05 is highly skewed (γ1 = 20.46591009)Skewed
2007-06 is highly skewed (γ1 = 24.29714707)Skewed
2007-07 is highly skewed (γ1 = 20.08817319)Skewed
2007-08 is highly skewed (γ1 = 20.63486945)Skewed
2007-09 is highly skewed (γ1 = 20.55806005)Skewed
2007-10 is highly skewed (γ1 = 24.96978074)Skewed
2007-11 is highly skewed (γ1 = 25.00916592)Skewed
2007-12 is highly skewed (γ1 = 26.85855331)Skewed
2008-01 is highly skewed (γ1 = 28.03448081)Skewed
2008-02 is highly skewed (γ1 = 27.12682149)Skewed
2008-03 is highly skewed (γ1 = 26.20733959)Skewed
2008-04 is highly skewed (γ1 = 25.7209516)Skewed
2008-05 is highly skewed (γ1 = 24.76109941)Skewed
2008-06 is highly skewed (γ1 = 24.9433925)Skewed
2008-07 is highly skewed (γ1 = 25.0477288)Skewed
2008-08 is highly skewed (γ1 = 25.68983486)Skewed
2008-09 is highly skewed (γ1 = 26.84688801)Skewed
2008-10 is highly skewed (γ1 = 27.48914655)Skewed
2008-11 is highly skewed (γ1 = 25.71958716)Skewed
2008-12 is highly skewed (γ1 = 27.07077452)Skewed
2009-01 is highly skewed (γ1 = 26.87042343)Skewed
2009-02 is highly skewed (γ1 = 26.02382834)Skewed
2009-03 is highly skewed (γ1 = 25.601237)Skewed
2009-04 is highly skewed (γ1 = 26.17601229)Skewed
2009-05 is highly skewed (γ1 = 26.25754917)Skewed
2009-06 is highly skewed (γ1 = 26.2385737)Skewed
2009-07 is highly skewed (γ1 = 24.47048163)Skewed
2009-08 is highly skewed (γ1 = 26.28030021)Skewed
2009-09 is highly skewed (γ1 = 25.89220689)Skewed
2009-10 is highly skewed (γ1 = 25.870849)Skewed
2009-11 is highly skewed (γ1 = 25.52075204)Skewed
2009-12 is highly skewed (γ1 = 24.70818209)Skewed
2010-01 is highly skewed (γ1 = 25.98300068)Skewed
2010-02 is highly skewed (γ1 = 26.06902608)Skewed
2010-03 is highly skewed (γ1 = 20.81951865)Skewed
2010-04 is highly skewed (γ1 = 26.79919816)Skewed
2010-05 is highly skewed (γ1 = 26.31362682)Skewed
2010-06 is highly skewed (γ1 = 25.28047163)Skewed
2010-07 is highly skewed (γ1 = 25.45616262)Skewed
2010-08 is highly skewed (γ1 = 25.96035427)Skewed
2010-09 is highly skewed (γ1 = 25.97504023)Skewed
2010-10 is highly skewed (γ1 = 26.33890795)Skewed
2010-11 is highly skewed (γ1 = 24.87084228)Skewed
2010-12 is highly skewed (γ1 = 23.41123386)Skewed
2011-01 is highly skewed (γ1 = 26.16959693)Skewed
2011-02 is highly skewed (γ1 = 27.71829385)Skewed
2011-03 is highly skewed (γ1 = 26.11786973)Skewed
2011-04 is highly skewed (γ1 = 25.63120096)Skewed
2011-05 is highly skewed (γ1 = 24.79054788)Skewed
2011-06 is highly skewed (γ1 = 24.36833523)Skewed
2011-07 is highly skewed (γ1 = 25.23309896)Skewed
2011-08 is highly skewed (γ1 = 24.58871761)Skewed
2011-09 is highly skewed (γ1 = 24.92903769)Skewed
2011-10 is highly skewed (γ1 = 25.60517159)Skewed
2011-11 is highly skewed (γ1 = 25.59030846)Skewed
2011-12 is highly skewed (γ1 = 26.67258565)Skewed
2012-01 is highly skewed (γ1 = 24.91341525)Skewed
2012-02 is highly skewed (γ1 = 25.51090416)Skewed
2012-03 is highly skewed (γ1 = 25.74692696)Skewed
2012-04 is highly skewed (γ1 = 24.9241824)Skewed
2012-05 is highly skewed (γ1 = 25.04157483)Skewed
2012-06 is highly skewed (γ1 = 22.61429266)Skewed
2012-07 is highly skewed (γ1 = 25.18431102)Skewed
2012-08 is highly skewed (γ1 = 21.17539925)Skewed
2012-09 is highly skewed (γ1 = 24.83906561)Skewed
2012-10 is highly skewed (γ1 = 26.1322164)Skewed
2012-11 is highly skewed (γ1 = 27.16481524)Skewed
2012-12 is highly skewed (γ1 = 26.83288024)Skewed
2013-01 is highly skewed (γ1 = 27.14419951)Skewed
2013-02 is highly skewed (γ1 = 27.47913667)Skewed
2013-03 is highly skewed (γ1 = 27.45496103)Skewed
2013-04 is highly skewed (γ1 = 27.90344639)Skewed
2013-05 is highly skewed (γ1 = 28.63925185)Skewed
2013-06 is highly skewed (γ1 = 25.71762672)Skewed
2013-07 is highly skewed (γ1 = 29.82548518)Skewed
2013-08 is highly skewed (γ1 = 27.86154565)Skewed
2013-09 is highly skewed (γ1 = 27.70701573)Skewed
2013-10 is highly skewed (γ1 = 28.45276325)Skewed
2013-11 is highly skewed (γ1 = 28.64313164)Skewed
2013-12 is highly skewed (γ1 = 28.34377363)Skewed
2014-01 is highly skewed (γ1 = 29.26583544)Skewed
2014-02 is highly skewed (γ1 = 24.94460807)Skewed
2014-03 is highly skewed (γ1 = 28.40357026)Skewed
2014-04 is highly skewed (γ1 = 27.94798159)Skewed
2014-05 is highly skewed (γ1 = 27.80689761)Skewed
2014-06 is highly skewed (γ1 = 27.85837955)Skewed
2014-07 is highly skewed (γ1 = 29.24217953)Skewed
2014-08 is highly skewed (γ1 = 29.15510453)Skewed
2014-09 is highly skewed (γ1 = 28.48735886)Skewed
2014-10 is highly skewed (γ1 = 23.78013939)Skewed
2014-11 is highly skewed (γ1 = 28.91519798)Skewed
2014-12 is highly skewed (γ1 = 28.85245435)Skewed
2015-01 is highly skewed (γ1 = 30.01142893)Skewed
2015-02 is highly skewed (γ1 = 28.8233966)Skewed
2015-03 is highly skewed (γ1 = 26.11515964)Skewed
2015-04 is highly skewed (γ1 = 28.28073359)Skewed
2015-05 is highly skewed (γ1 = 27.10504303)Skewed
2015-06 is highly skewed (γ1 = 26.72624529)Skewed
2015-07 is highly skewed (γ1 = 26.19453623)Skewed
2015-08 is highly skewed (γ1 = 26.44253283)Skewed
2015-09 is highly skewed (γ1 = 26.6583712)Skewed
2015-10 is highly skewed (γ1 = 27.23163716)Skewed
2015-11 is highly skewed (γ1 = 28.17098736)Skewed
2015-12 is highly skewed (γ1 = 27.89428143)Skewed
2016-01 is highly skewed (γ1 = 28.93850088)Skewed
2016-02 is highly skewed (γ1 = 28.39309149)Skewed
2016-03 is highly skewed (γ1 = 28.54937174)Skewed
2016-04 is highly skewed (γ1 = 28.12443558)Skewed
2016-05 is highly skewed (γ1 = 28.63530725)Skewed
2016-06 is highly skewed (γ1 = 28.25043854)Skewed
2016-07 is highly skewed (γ1 = 26.50414625)Skewed
2016-08 is highly skewed (γ1 = 27.54491921)Skewed
2016-09 is highly skewed (γ1 = 28.33793429)Skewed
2016-10 is highly skewed (γ1 = 27.75777171)Skewed
2016-11 is highly skewed (γ1 = 28.48002862)Skewed
2016-12 is highly skewed (γ1 = 26.52747858)Skewed
2017-01 is highly skewed (γ1 = 29.66264671)Skewed
2017-02 is highly skewed (γ1 = 28.89645471)Skewed
2017-03 is highly skewed (γ1 = 29.68301722)Skewed
2017-04 is highly skewed (γ1 = 30.06302323)Skewed
2017-05 is highly skewed (γ1 = 31.46876465)Skewed
2017-06 is highly skewed (γ1 = 30.34822725)Skewed
2017-07 is highly skewed (γ1 = 30.45985087)Skewed
2017-08 is highly skewed (γ1 = 32.17132412)Skewed
2017-09 is highly skewed (γ1 = 31.89486405)Skewed
2017-10 is highly skewed (γ1 = 32.30164072)Skewed
2017-11 is highly skewed (γ1 = 32.38040762)Skewed
2017-12 is highly skewed (γ1 = 31.45758245)Skewed
2018-01 is highly skewed (γ1 = 33.47660661)Skewed
2018-02 is highly skewed (γ1 = 32.6229318)Skewed
2018-03 is highly skewed (γ1 = 31.54024326)Skewed
2018-04 is highly skewed (γ1 = 31.00637927)Skewed
2018-05 is highly skewed (γ1 = 31.21996426)Skewed
2018-06 is highly skewed (γ1 = 31.86996719)Skewed
2018-07 is highly skewed (γ1 = 31.32745905)Skewed
2018-08 is highly skewed (γ1 = 30.55140259)Skewed
2018-09 is highly skewed (γ1 = 31.09144749)Skewed
2018-10 is highly skewed (γ1 = 29.7349999)Skewed
2018-11 is highly skewed (γ1 = 31.18168887)Skewed
2018-12 is highly skewed (γ1 = 31.57829698)Skewed
2019-01 is highly skewed (γ1 = 33.22946583)Skewed
2019-02 is highly skewed (γ1 = 33.38729637)Skewed
2019-03 is highly skewed (γ1 = 32.9247356)Skewed
2019-04 is highly skewed (γ1 = 33.32341811)Skewed
2019-05 is highly skewed (γ1 = 31.78114954)Skewed
2019-06 is highly skewed (γ1 = 31.53154677)Skewed
2019-07 is highly skewed (γ1 = 32.17950901)Skewed
2019-08 is highly skewed (γ1 = 32.88479588)Skewed
2019-09 is highly skewed (γ1 = 33.33263785)Skewed
2019-10 is highly skewed (γ1 = 31.10804006)Skewed
2019-11 is highly skewed (γ1 = 31.85294558)Skewed
2019-12 is highly skewed (γ1 = 31.98952412)Skewed
2020-01 is highly skewed (γ1 = 32.32549686)Skewed
2020-02 is highly skewed (γ1 = 31.15652793)Skewed
2020-03 is highly skewed (γ1 = 29.39569925)Skewed
2020-04 is highly skewed (γ1 = 28.82267856)Skewed
2020-05 is highly skewed (γ1 = 30.37558719)Skewed
2020-06 is highly skewed (γ1 = 29.89880554)Skewed
2020-07 is highly skewed (γ1 = 29.86850907)Skewed
2020-08 is highly skewed (γ1 = 29.78657458)Skewed
2020-09 is highly skewed (γ1 = 31.99461753)Skewed
2020-10 is highly skewed (γ1 = 30.94463967)Skewed
2020-11 is highly skewed (γ1 = 31.87740287)Skewed
2020-12 is highly skewed (γ1 = 31.29494899)Skewed
2021-01 is highly skewed (γ1 = 30.43039726)Skewed
2021-02 is highly skewed (γ1 = 30.91331632)Skewed
2021-03 is highly skewed (γ1 = 28.4799865)Skewed
2021-04 is highly skewed (γ1 = 28.74869391)Skewed
2021-05 is highly skewed (γ1 = 28.93928198)Skewed
2021-06 is highly skewed (γ1 = 29.63643864)Skewed
2021-07 is highly skewed (γ1 = 29.74375264)Skewed
2021-08 is highly skewed (γ1 = 30.64300043)Skewed
2021-09 is highly skewed (γ1 = 30.62863996)Skewed
2021-10 is highly skewed (γ1 = 29.34374439)Skewed
2021-11 is highly skewed (γ1 = 30.78511646)Skewed
2021-12 is highly skewed (γ1 = 29.69848373)Skewed
2022-01 is highly skewed (γ1 = 32.57025263)Skewed
2022-02 is highly skewed (γ1 = 33.20468789)Skewed
2022-03 is highly skewed (γ1 = 29.69672309)Skewed
2022-04 is highly skewed (γ1 = 29.38272338)Skewed
2022-05 is highly skewed (γ1 = 27.18816393)Skewed
2022-06 is highly skewed (γ1 = 29.97080522)Skewed
2022-07 is highly skewed (γ1 = 27.78797553)Skewed
2022-08 is highly skewed (γ1 = 30.17075932)Skewed
2022-09 is highly skewed (γ1 = 28.4016606)Skewed
2022-10 is highly skewed (γ1 = 29.63616362)Skewed
2022-11 is highly skewed (γ1 = 30.67544131)Skewed
2022-12 is highly skewed (γ1 = 31.56267601)Skewed
2023-01 is highly skewed (γ1 = 33.03880753)Skewed
2023-02 is highly skewed (γ1 = 31.40605149)Skewed
2023-03 is highly skewed (γ1 = 32.00371207)Skewed
2023-04 is highly skewed (γ1 = 31.74048948)Skewed
2023-05 is highly skewed (γ1 = 31.32484524)Skewed
2023-06 is highly skewed (γ1 = 32.74558526)Skewed
2023-07 is highly skewed (γ1 = 32.02153585)Skewed
2023-08 is highly skewed (γ1 = 33.03634845)Skewed
2023-09 is highly skewed (γ1 = 33.50195801)Skewed
2023-10 is highly skewed (γ1 = 32.7074974)Skewed
2023-11 is highly skewed (γ1 = 31.96392589)Skewed
2023-12 is highly skewed (γ1 = 32.61006264)Skewed
2024-01 is highly skewed (γ1 = 32.60798941)Skewed
지역 및 거래규모 has unique valuesUnique
2006-01 has 1120 (41.2%) zerosZeros
2006-02 has 966 (35.5%) zerosZeros
2006-03 has 875 (32.2%) zerosZeros
2006-04 has 928 (34.1%) zerosZeros
2006-05 has 872 (32.1%) zerosZeros
2006-06 has 941 (34.6%) zerosZeros
2006-07 has 985 (36.2%) zerosZeros
2006-08 has 979 (36.0%) zerosZeros
2006-09 has 862 (31.7%) zerosZeros
2006-10 has 895 (32.9%) zerosZeros
2006-11 has 810 (29.8%) zerosZeros
2006-12 has 755 (27.8%) zerosZeros
2007-01 has 914 (33.6%) zerosZeros
2007-02 has 1006 (37.0%) zerosZeros
2007-03 has 931 (34.3%) zerosZeros
2007-04 has 914 (33.6%) zerosZeros
2007-05 has 904 (33.3%) zerosZeros
2007-06 has 962 (35.4%) zerosZeros
2007-07 has 933 (34.3%) zerosZeros
2007-08 has 968 (35.6%) zerosZeros
2007-09 has 1039 (38.2%) zerosZeros
2007-10 has 899 (33.1%) zerosZeros
2007-11 has 900 (33.1%) zerosZeros
2007-12 has 940 (34.6%) zerosZeros
2008-01 has 977 (35.9%) zerosZeros
2008-02 has 1000 (36.8%) zerosZeros
2008-03 has 873 (32.1%) zerosZeros
2008-04 has 859 (31.6%) zerosZeros
2008-05 has 860 (31.6%) zerosZeros
2008-06 has 863 (31.8%) zerosZeros
2008-07 has 852 (31.3%) zerosZeros
2008-08 has 970 (35.7%) zerosZeros
2008-09 has 967 (35.6%) zerosZeros
2008-10 has 951 (35.0%) zerosZeros
2008-11 has 1065 (39.2%) zerosZeros
2008-12 has 1083 (39.8%) zerosZeros
2009-01 has 1185 (43.6%) zerosZeros
2009-02 has 1036 (38.1%) zerosZeros
2009-03 has 912 (33.6%) zerosZeros
2009-04 has 887 (32.6%) zerosZeros
2009-05 has 899 (33.1%) zerosZeros
2009-06 has 871 (32.0%) zerosZeros
2009-07 has 840 (30.9%) zerosZeros
2009-08 has 869 (32.0%) zerosZeros
2009-09 has 840 (30.9%) zerosZeros
2009-10 has 861 (31.7%) zerosZeros
2009-11 has 890 (32.7%) zerosZeros
2009-12 has 853 (31.4%) zerosZeros
2010-01 has 1004 (36.9%) zerosZeros
2010-02 has 980 (36.1%) zerosZeros
2010-03 has 842 (31.0%) zerosZeros
2010-04 has 855 (31.5%) zerosZeros
2010-05 has 921 (33.9%) zerosZeros
2010-06 has 926 (34.1%) zerosZeros
2010-07 has 942 (34.7%) zerosZeros
2010-08 has 960 (35.3%) zerosZeros
2010-09 has 1059 (39.0%) zerosZeros
2010-10 has 931 (34.3%) zerosZeros
2010-11 has 888 (32.7%) zerosZeros
2010-12 has 839 (30.9%) zerosZeros
2011-01 has 998 (36.7%) zerosZeros
2011-02 has 966 (35.5%) zerosZeros
2011-03 has 805 (29.6%) zerosZeros
2011-04 has 816 (30.0%) zerosZeros
2011-05 has 808 (29.7%) zerosZeros
2011-06 has 814 (29.9%) zerosZeros
2011-07 has 871 (32.0%) zerosZeros
2011-08 has 840 (30.9%) zerosZeros
2011-09 has 872 (32.1%) zerosZeros
2011-10 has 829 (30.5%) zerosZeros
2011-11 has 813 (29.9%) zerosZeros
2011-12 has 715 (26.3%) zerosZeros
2012-01 has 1153 (42.4%) zerosZeros
2012-02 has 913 (33.6%) zerosZeros
2012-03 has 845 (31.1%) zerosZeros
2012-04 has 846 (31.1%) zerosZeros
2012-05 has 817 (30.1%) zerosZeros
2012-06 has 863 (31.8%) zerosZeros
2012-07 has 874 (32.2%) zerosZeros
2012-08 has 932 (34.3%) zerosZeros
2012-09 has 1061 (39.0%) zerosZeros
2012-10 has 813 (29.9%) zerosZeros
2012-11 has 800 (29.4%) zerosZeros
2012-12 has 711 (26.2%) zerosZeros
2013-01 has 1152 (42.4%) zerosZeros
2013-02 has 1022 (37.6%) zerosZeros
2013-03 has 848 (31.2%) zerosZeros
2013-04 has 770 (28.3%) zerosZeros
2013-05 has 715 (26.3%) zerosZeros
2013-06 has 647 (23.8%) zerosZeros
2013-07 has 955 (35.1%) zerosZeros
2013-08 has 953 (35.1%) zerosZeros
2013-09 has 942 (34.7%) zerosZeros
2013-10 has 751 (27.6%) zerosZeros
2013-11 has 801 (29.5%) zerosZeros
2013-12 has 746 (27.4%) zerosZeros
2014-01 has 883 (32.5%) zerosZeros
2014-02 has 775 (28.5%) zerosZeros
2014-03 has 703 (25.9%) zerosZeros
2014-04 has 714 (26.3%) zerosZeros
2014-05 has 749 (27.6%) zerosZeros
2014-06 has 769 (28.3%) zerosZeros
2014-07 has 722 (26.6%) zerosZeros
2014-08 has 784 (28.8%) zerosZeros
2014-09 has 766 (28.2%) zerosZeros
2014-10 has 673 (24.8%) zerosZeros
2014-11 has 731 (26.9%) zerosZeros
2014-12 has 708 (26.0%) zerosZeros
2015-01 has 807 (29.7%) zerosZeros
2015-02 has 831 (30.6%) zerosZeros
2015-03 has 673 (24.8%) zerosZeros
2015-04 has 668 (24.6%) zerosZeros
2015-05 has 663 (24.4%) zerosZeros
2015-06 has 634 (23.3%) zerosZeros
2015-07 has 666 (24.5%) zerosZeros
2015-08 has 697 (25.6%) zerosZeros
2015-09 has 742 (27.3%) zerosZeros
2015-10 has 638 (23.5%) zerosZeros
2015-11 has 714 (26.3%) zerosZeros
2015-12 has 687 (25.3%) zerosZeros
2016-01 has 821 (30.2%) zerosZeros
2016-02 has 851 (31.3%) zerosZeros
2016-03 has 721 (26.5%) zerosZeros
2016-04 has 713 (26.2%) zerosZeros
2016-05 has 707 (26.0%) zerosZeros
2016-06 has 712 (26.2%) zerosZeros
2016-07 has 733 (27.0%) zerosZeros
2016-08 has 703 (25.9%) zerosZeros
2016-09 has 766 (28.2%) zerosZeros
2016-10 has 694 (25.5%) zerosZeros
2016-11 has 697 (25.6%) zerosZeros
2016-12 has 701 (25.8%) zerosZeros
2017-01 has 852 (31.3%) zerosZeros
2017-02 has 768 (28.3%) zerosZeros
2017-03 has 713 (26.2%) zerosZeros
2017-04 has 746 (27.4%) zerosZeros
2017-05 has 729 (26.8%) zerosZeros
2017-06 has 696 (25.6%) zerosZeros
2017-07 has 703 (25.9%) zerosZeros
2017-08 has 664 (24.4%) zerosZeros
2017-09 has 729 (26.8%) zerosZeros
2017-10 has 796 (29.3%) zerosZeros
2017-11 has 720 (26.5%) zerosZeros
2017-12 has 727 (26.7%) zerosZeros
2018-01 has 762 (28.0%) zerosZeros
2018-02 has 824 (30.3%) zerosZeros
2018-03 has 675 (24.8%) zerosZeros
2018-04 has 770 (28.3%) zerosZeros
2018-05 has 755 (27.8%) zerosZeros
2018-06 has 813 (29.9%) zerosZeros
2018-07 has 785 (28.9%) zerosZeros
2018-08 has 809 (29.8%) zerosZeros
2018-09 has 884 (32.5%) zerosZeros
2018-10 has 737 (27.1%) zerosZeros
2018-11 has 773 (28.4%) zerosZeros
2018-12 has 804 (29.6%) zerosZeros
2019-01 has 851 (31.3%) zerosZeros
2019-02 has 946 (34.8%) zerosZeros
2019-03 has 853 (31.4%) zerosZeros
2019-04 has 821 (30.2%) zerosZeros
2019-05 has 798 (29.4%) zerosZeros
2019-06 has 880 (32.4%) zerosZeros
2019-07 has 808 (29.7%) zerosZeros
2019-08 has 815 (30.0%) zerosZeros
2019-09 has 892 (32.8%) zerosZeros
2019-10 has 769 (28.3%) zerosZeros
2019-11 has 779 (28.7%) zerosZeros
2019-12 has 663 (24.4%) zerosZeros
2020-01 has 759 (27.9%) zerosZeros
2020-02 has 726 (26.7%) zerosZeros
2020-03 has 726 (26.7%) zerosZeros
2020-04 has 769 (28.3%) zerosZeros
2020-05 has 739 (27.2%) zerosZeros
2020-06 has 653 (24.0%) zerosZeros
2020-07 has 580 (21.3%) zerosZeros
2020-08 has 713 (26.2%) zerosZeros
2020-09 has 739 (27.2%) zerosZeros
2020-10 has 739 (27.2%) zerosZeros
2020-11 has 673 (24.8%) zerosZeros
2020-12 has 555 (20.4%) zerosZeros
2021-01 has 768 (28.3%) zerosZeros
2021-02 has 743 (27.3%) zerosZeros
2021-03 has 630 (23.2%) zerosZeros
2021-04 has 621 (22.8%) zerosZeros
2021-05 has 635 (23.4%) zerosZeros
2021-06 has 706 (26.0%) zerosZeros
2021-07 has 725 (26.7%) zerosZeros
2021-08 has 733 (27.0%) zerosZeros
2021-09 has 793 (29.2%) zerosZeros
2021-10 has 750 (27.6%) zerosZeros
2021-11 has 773 (28.4%) zerosZeros
2021-12 has 795 (29.2%) zerosZeros
2022-01 has 962 (35.4%) zerosZeros
2022-02 has 950 (35.0%) zerosZeros
2022-03 has 865 (31.8%) zerosZeros
2022-04 has 790 (29.1%) zerosZeros
2022-05 has 767 (28.2%) zerosZeros
2022-06 has 884 (32.5%) zerosZeros
2022-07 has 971 (35.7%) zerosZeros
2022-08 has 999 (36.8%) zerosZeros
2022-09 has 1037 (38.2%) zerosZeros
2022-10 has 1053 (38.7%) zerosZeros
2022-11 has 1063 (39.1%) zerosZeros
2022-12 has 999 (36.8%) zerosZeros
2023-01 has 1278 (47.0%) zerosZeros
2023-02 has 1130 (41.6%) zerosZeros
2023-03 has 980 (36.1%) zerosZeros
2023-04 has 1023 (37.6%) zerosZeros
2023-05 has 950 (35.0%) zerosZeros
2023-06 has 980 (36.1%) zerosZeros
2023-07 has 1014 (37.3%) zerosZeros
2023-08 has 984 (36.2%) zerosZeros
2023-09 has 1053 (38.7%) zerosZeros
2023-10 has 1026 (37.7%) zerosZeros
2023-11 has 998 (36.7%) zerosZeros
2023-12 has 1061 (39.0%) zerosZeros
2024-01 has 1056 (38.9%) zerosZeros

Reproduction

Analysis started2024-04-06 09:01:19.515986
Analysis finished2024-04-06 09:01:23.293266
Duration3.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2718
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2024-04-06T18:01:23.578335image/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%
2024-04-06T18:01:24.154696image/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 

Distinct96
Distinct (%)3.9%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean9.4140308
Minimum0
Maximum2621
Zeros1120
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:24.391719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile24.75
Maximum2621
Range2621
Interquartile range (IQR)4

Descriptive statistics

Standard deviation77.829241
Coefficient of variation (CV)8.2673663
Kurtosis631.85446
Mean9.4140308
Median Absolute Deviation (MAD)1
Skewness22.747187
Sum23215
Variance6057.3908
MonotonicityNot monotonic
2024-04-06T18:01:24.623516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1120
41.2%
1 424
 
15.6%
2 191
 
7.0%
3 100
 
3.7%
4 88
 
3.2%
6 59
 
2.2%
5 58
 
2.1%
7 46
 
1.7%
8 36
 
1.3%
9 28
 
1.0%
Other values (86) 316
 
11.6%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 1120
41.2%
1 424
 
15.6%
2 191
 
7.0%
3 100
 
3.7%
4 88
 
3.2%
5 58
 
2.1%
6 59
 
2.2%
7 46
 
1.7%
8 36
 
1.3%
9 28
 
1.0%
ValueCountFrequency (%)
2621 1
< 0.1%
1579 1
< 0.1%
1219 1
< 0.1%
983 1
< 0.1%
954 1
< 0.1%
828 1
< 0.1%
786 1
< 0.1%
355 1
< 0.1%
318 1
< 0.1%
300 1
< 0.1%

2006-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct107
Distinct (%)4.3%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean10.937956
Minimum0
Maximum3192
Zeros966
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:24.870510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile33
Maximum3192
Range3192
Interquartile range (IQR)5

Descriptive statistics

Standard deviation87.217463
Coefficient of variation (CV)7.9738354
Kurtosis841.40809
Mean10.937956
Median Absolute Deviation (MAD)1
Skewness26.373681
Sum26973
Variance7606.8858
MonotonicityNot monotonic
2024-04-06T18:01:25.089692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 966
35.5%
1 452
16.6%
2 195
 
7.2%
3 124
 
4.6%
4 82
 
3.0%
5 57
 
2.1%
6 56
 
2.1%
7 44
 
1.6%
8 41
 
1.5%
9 38
 
1.4%
Other values (97) 411
15.1%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 966
35.5%
1 452
16.6%
2 195
 
7.2%
3 124
 
4.6%
4 82
 
3.0%
5 57
 
2.1%
6 56
 
2.1%
7 44
 
1.6%
8 41
 
1.5%
9 38
 
1.4%
ValueCountFrequency (%)
3192 1
< 0.1%
1957 1
< 0.1%
1226 1
< 0.1%
901 1
< 0.1%
799 1
< 0.1%
523 1
< 0.1%
520 1
< 0.1%
427 1
< 0.1%
354 1
< 0.1%
301 1
< 0.1%

2006-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct117
Distinct (%)4.7%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean14.1618
Minimum0
Maximum4226
Zeros875
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:25.345373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile41
Maximum4226
Range4226
Interquartile range (IQR)7

Descriptive statistics

Standard deviation114.29856
Coefficient of variation (CV)8.0709062
Kurtosis852.76341
Mean14.1618
Median Absolute Deviation (MAD)1
Skewness26.448555
Sum34923
Variance13064.162
MonotonicityNot monotonic
2024-04-06T18:01:25.555705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 875
32.2%
1 424
15.6%
2 209
 
7.7%
3 145
 
5.3%
4 83
 
3.1%
5 58
 
2.1%
6 53
 
1.9%
7 44
 
1.6%
8 41
 
1.5%
9 40
 
1.5%
Other values (107) 494
18.2%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 875
32.2%
1 424
15.6%
2 209
 
7.7%
3 145
 
5.3%
4 83
 
3.1%
5 58
 
2.1%
6 53
 
1.9%
7 44
 
1.6%
8 41
 
1.5%
9 40
 
1.5%
ValueCountFrequency (%)
4226 1
< 0.1%
2410 1
< 0.1%
1645 1
< 0.1%
1246 1
< 0.1%
1111 1
< 0.1%
738 1
< 0.1%
631 1
< 0.1%
581 1
< 0.1%
493 1
< 0.1%
441 1
< 0.1%

2006-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct112
Distinct (%)4.5%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean12.444444
Minimum0
Maximum3639
Zeros928
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:25.755876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35
Maximum3639
Range3639
Interquartile range (IQR)6

Descriptive statistics

Standard deviation99.819535
Coefficient of variation (CV)8.0212126
Kurtosis816.50995
Mean12.444444
Median Absolute Deviation (MAD)1
Skewness25.863868
Sum30688
Variance9963.9395
MonotonicityNot monotonic
2024-04-06T18:01:26.010324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 928
34.1%
1 431
15.9%
2 187
 
6.9%
3 128
 
4.7%
4 79
 
2.9%
5 63
 
2.3%
6 55
 
2.0%
7 47
 
1.7%
9 44
 
1.6%
10 37
 
1.4%
Other values (102) 467
17.2%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 928
34.1%
1 431
15.9%
2 187
 
6.9%
3 128
 
4.7%
4 79
 
2.9%
5 63
 
2.3%
6 55
 
2.0%
7 47
 
1.7%
8 37
 
1.4%
9 44
 
1.6%
ValueCountFrequency (%)
3639 1
< 0.1%
2123 1
< 0.1%
1469 1
< 0.1%
1087 1
< 0.1%
992 1
< 0.1%
674 1
< 0.1%
596 1
< 0.1%
523 1
< 0.1%
458 1
< 0.1%
443 1
< 0.1%

2006-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct112
Distinct (%)4.5%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean13.057178
Minimum0
Maximum3713
Zeros872
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:26.287717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.75
95-th percentile36
Maximum3713
Range3713
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation103.4955
Coefficient of variation (CV)7.9263302
Kurtosis765.03657
Mean13.057178
Median Absolute Deviation (MAD)1
Skewness24.911028
Sum32199
Variance10711.319
MonotonicityNot monotonic
2024-04-06T18:01:26.536638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 872
32.1%
1 445
16.4%
2 190
 
7.0%
3 134
 
4.9%
4 86
 
3.2%
5 75
 
2.8%
7 64
 
2.4%
6 47
 
1.7%
9 43
 
1.6%
8 39
 
1.4%
Other values (102) 471
17.3%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 872
32.1%
1 445
16.4%
2 190
 
7.0%
3 134
 
4.9%
4 86
 
3.2%
5 75
 
2.8%
6 47
 
1.7%
7 64
 
2.4%
8 39
 
1.4%
9 43
 
1.6%
ValueCountFrequency (%)
3713 1
< 0.1%
2110 1
< 0.1%
1511 1
< 0.1%
1243 1
< 0.1%
1185 1
< 0.1%
762 1
< 0.1%
637 1
< 0.1%
537 1
< 0.1%
514 1
< 0.1%
493 1
< 0.1%

2006-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.4%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean11.465937
Minimum0
Maximum3340
Zeros941
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:26.792502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile31
Maximum3340
Range3340
Interquartile range (IQR)5

Descriptive statistics

Standard deviation91.779482
Coefficient of variation (CV)8.0045341
Kurtosis808.59514
Mean11.465937
Median Absolute Deviation (MAD)1
Skewness25.698101
Sum28275
Variance8423.4733
MonotonicityNot monotonic
2024-04-06T18:01:27.017122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 941
34.6%
1 441
16.2%
2 207
 
7.6%
3 120
 
4.4%
4 83
 
3.1%
6 68
 
2.5%
5 64
 
2.4%
9 46
 
1.7%
7 42
 
1.5%
8 33
 
1.2%
Other values (99) 421
15.5%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 941
34.6%
1 441
16.2%
2 207
 
7.6%
3 120
 
4.4%
4 83
 
3.1%
5 64
 
2.4%
6 68
 
2.5%
7 42
 
1.5%
8 33
 
1.2%
9 46
 
1.7%
ValueCountFrequency (%)
3340 1
< 0.1%
1927 1
< 0.1%
1356 1
< 0.1%
1014 1
< 0.1%
945 1
< 0.1%
599 1
< 0.1%
559 1
< 0.1%
498 1
< 0.1%
460 1
< 0.1%
380 1
< 0.1%

2006-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct104
Distinct (%)4.2%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean9.7124183
Minimum0
Maximum2769
Zeros985
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:27.280968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile28
Maximum2769
Range2769
Interquartile range (IQR)4

Descriptive statistics

Standard deviation76.399439
Coefficient of variation (CV)7.8661603
Kurtosis803.32
Mean9.7124183
Median Absolute Deviation (MAD)1
Skewness25.633298
Sum23776
Variance5836.8744
MonotonicityNot monotonic
2024-04-06T18:01:27.513821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 985
36.2%
1 428
15.7%
2 206
 
7.6%
3 129
 
4.7%
4 95
 
3.5%
5 58
 
2.1%
7 55
 
2.0%
6 55
 
2.0%
8 37
 
1.4%
9 30
 
1.1%
Other values (94) 370
 
13.6%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 985
36.2%
1 428
15.7%
2 206
 
7.6%
3 129
 
4.7%
4 95
 
3.5%
5 58
 
2.1%
6 55
 
2.0%
7 55
 
2.0%
8 37
 
1.4%
9 30
 
1.1%
ValueCountFrequency (%)
2769 1
< 0.1%
1596 1
< 0.1%
1181 1
< 0.1%
809 1
< 0.1%
763 1
< 0.1%
472 1
< 0.1%
435 1
< 0.1%
402 1
< 0.1%
357 1
< 0.1%
309 1
< 0.1%

2006-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct88
Distinct (%)3.6%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean8.6368464
Minimum0
Maximum2324
Zeros979
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:28.035229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26
Maximum2324
Range2324
Interquartile range (IQR)4

Descriptive statistics

Standard deviation67.344688
Coefficient of variation (CV)7.7973701
Kurtosis720.82826
Mean8.6368464
Median Absolute Deviation (MAD)1
Skewness24.445488
Sum21143
Variance4535.307
MonotonicityNot monotonic
2024-04-06T18:01:28.250795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 979
36.0%
1 466
17.1%
2 223
 
8.2%
3 113
 
4.2%
4 77
 
2.8%
5 67
 
2.5%
6 54
 
2.0%
9 51
 
1.9%
8 50
 
1.8%
7 34
 
1.3%
Other values (78) 334
 
12.3%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 979
36.0%
1 466
17.1%
2 223
 
8.2%
3 113
 
4.2%
4 77
 
2.8%
5 67
 
2.5%
6 54
 
2.0%
7 34
 
1.3%
8 50
 
1.8%
9 51
 
1.9%
ValueCountFrequency (%)
2324 1
< 0.1%
1583 1
< 0.1%
951 1
< 0.1%
763 1
< 0.1%
687 1
< 0.1%
503 1
< 0.1%
441 1
< 0.1%
323 1
< 0.1%
320 1
< 0.1%
317 1
< 0.1%

2006-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct118
Distinct (%)4.8%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean14.102941
Minimum0
Maximum4232
Zeros862
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:28.495948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.25
95-th percentile40
Maximum4232
Range4232
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation115.87516
Coefficient of variation (CV)8.2163828
Kurtosis830.14015
Mean14.102941
Median Absolute Deviation (MAD)1
Skewness26.140598
Sum34524
Variance13427.054
MonotonicityNot monotonic
2024-04-06T18:01:28.759762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 862
31.7%
1 436
16.0%
2 186
 
6.8%
3 135
 
5.0%
4 98
 
3.6%
6 61
 
2.2%
5 58
 
2.1%
7 55
 
2.0%
8 40
 
1.5%
9 38
 
1.4%
Other values (108) 479
17.6%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 862
31.7%
1 436
16.0%
2 186
 
6.8%
3 135
 
5.0%
4 98
 
3.6%
5 58
 
2.1%
6 61
 
2.2%
7 55
 
2.0%
8 40
 
1.5%
9 38
 
1.4%
ValueCountFrequency (%)
4232 1
< 0.1%
2525 1
< 0.1%
1468 1
< 0.1%
1352 1
< 0.1%
1142 1
< 0.1%
856 1
< 0.1%
779 1
< 0.1%
570 1
< 0.1%
491 1
< 0.1%
462 1
< 0.1%

2006-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct121
Distinct (%)4.9%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean15.223856
Minimum0
Maximum4404
Zeros895
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:29.021075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile44
Maximum4404
Range4404
Interquartile range (IQR)7

Descriptive statistics

Standard deviation124.65975
Coefficient of variation (CV)8.188448
Kurtosis758.11604
Mean15.223856
Median Absolute Deviation (MAD)1
Skewness24.983295
Sum37268
Variance15540.054
MonotonicityNot monotonic
2024-04-06T18:01:29.255737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 895
32.9%
1 418
15.4%
2 157
 
5.8%
3 128
 
4.7%
4 89
 
3.3%
5 79
 
2.9%
6 58
 
2.1%
7 50
 
1.8%
11 37
 
1.4%
10 35
 
1.3%
Other values (111) 502
18.5%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 895
32.9%
1 418
15.4%
2 157
 
5.8%
3 128
 
4.7%
4 89
 
3.3%
5 79
 
2.9%
6 58
 
2.1%
7 50
 
1.8%
8 31
 
1.1%
9 34
 
1.3%
ValueCountFrequency (%)
4404 1
< 0.1%
2831 1
< 0.1%
1614 1
< 0.1%
1425 1
< 0.1%
1110 1
< 0.1%
1094 1
< 0.1%
1020 1
< 0.1%
709 1
< 0.1%
547 1
< 0.1%
525 1
< 0.1%

2006-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct145
Distinct (%)5.9%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean21.168301
Minimum0
Maximum5925
Zeros810
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:29.476400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile62
Maximum5925
Range5925
Interquartile range (IQR)9

Descriptive statistics

Standard deviation171.40352
Coefficient of variation (CV)8.0971792
Kurtosis723.53157
Mean21.168301
Median Absolute Deviation (MAD)2
Skewness24.449534
Sum51820
Variance29379.168
MonotonicityNot monotonic
2024-04-06T18:01:29.756773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 810
29.8%
1 400
14.7%
2 174
 
6.4%
3 100
 
3.7%
4 90
 
3.3%
5 76
 
2.8%
6 59
 
2.2%
7 53
 
1.9%
8 43
 
1.6%
9 37
 
1.4%
Other values (135) 606
22.3%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 810
29.8%
1 400
14.7%
2 174
 
6.4%
3 100
 
3.7%
4 90
 
3.3%
5 76
 
2.8%
6 59
 
2.2%
7 53
 
1.9%
8 43
 
1.6%
9 37
 
1.4%
ValueCountFrequency (%)
5925 1
< 0.1%
4055 1
< 0.1%
2123 1
< 0.1%
1868 1
< 0.1%
1739 1
< 0.1%
1642 1
< 0.1%
1267 1
< 0.1%
965 1
< 0.1%
784 1
< 0.1%
735 1
< 0.1%

2006-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct132
Distinct (%)5.4%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean17.835784
Minimum0
Maximum4383
Zeros755
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:30.020509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile47
Maximum4383
Range4383
Interquartile range (IQR)9

Descriptive statistics

Standard deviation135.56738
Coefficient of variation (CV)7.6008643
Kurtosis610.83423
Mean17.835784
Median Absolute Deviation (MAD)2
Skewness22.57061
Sum43662
Variance18378.513
MonotonicityNot monotonic
2024-04-06T18:01:30.280189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 755
27.8%
1 434
16.0%
2 179
 
6.6%
3 129
 
4.7%
5 85
 
3.1%
4 82
 
3.0%
6 60
 
2.2%
7 47
 
1.7%
8 46
 
1.7%
9 41
 
1.5%
Other values (122) 590
21.7%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 755
27.8%
1 434
16.0%
2 179
 
6.6%
3 129
 
4.7%
4 82
 
3.0%
5 85
 
3.1%
6 60
 
2.2%
7 47
 
1.7%
8 46
 
1.7%
9 41
 
1.5%
ValueCountFrequency (%)
4383 1
< 0.1%
3210 1
< 0.1%
2300 1
< 0.1%
1641 1
< 0.1%
1177 1
< 0.1%
1069 1
< 0.1%
906 1
< 0.1%
858 1
< 0.1%
788 1
< 0.1%
724 1
< 0.1%

2007-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.5%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean11.690359
Minimum0
Maximum3273
Zeros914
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:30.532351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile33
Maximum3273
Range3273
Interquartile range (IQR)5

Descriptive statistics

Standard deviation92.229275
Coefficient of variation (CV)7.8893447
Kurtosis755.85324
Mean11.690359
Median Absolute Deviation (MAD)1
Skewness24.861317
Sum28618
Variance8506.2392
MonotonicityNot monotonic
2024-04-06T18:01:30.768023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 914
33.6%
1 430
15.8%
2 220
 
8.1%
3 127
 
4.7%
4 80
 
2.9%
5 71
 
2.6%
6 61
 
2.2%
7 48
 
1.8%
9 40
 
1.5%
11 34
 
1.3%
Other values (99) 423
15.6%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 914
33.6%
1 430
15.8%
2 220
 
8.1%
3 127
 
4.7%
4 80
 
2.9%
5 71
 
2.6%
6 61
 
2.2%
7 48
 
1.8%
8 34
 
1.3%
9 40
 
1.5%
ValueCountFrequency (%)
3273 1
< 0.1%
1993 1
< 0.1%
1273 1
< 0.1%
1143 1
< 0.1%
1000 1
< 0.1%
615 1
< 0.1%
560 1
< 0.1%
446 1
< 0.1%
432 1
< 0.1%
427 1
< 0.1%

2007-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct97
Distinct (%)4.0%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean9.2614379
Minimum0
Maximum2509
Zeros1006
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:31.007453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile24
Maximum2509
Range2509
Interquartile range (IQR)4

Descriptive statistics

Standard deviation72.490171
Coefficient of variation (CV)7.8270968
Kurtosis710.39914
Mean9.2614379
Median Absolute Deviation (MAD)1
Skewness24.138028
Sum22672
Variance5254.825
MonotonicityNot monotonic
2024-04-06T18:01:31.252099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1006
37.0%
1 465
17.1%
2 183
 
6.7%
3 135
 
5.0%
4 85
 
3.1%
5 61
 
2.2%
7 57
 
2.1%
6 54
 
2.0%
8 33
 
1.2%
9 33
 
1.2%
Other values (87) 336
 
12.4%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 1006
37.0%
1 465
17.1%
2 183
 
6.7%
3 135
 
5.0%
4 85
 
3.1%
5 61
 
2.2%
6 54
 
2.0%
7 57
 
2.1%
8 33
 
1.2%
9 33
 
1.2%
ValueCountFrequency (%)
2509 1
< 0.1%
1603 1
< 0.1%
1165 1
< 0.1%
852 1
< 0.1%
624 1
< 0.1%
489 1
< 0.1%
430 1
< 0.1%
390 1
< 0.1%
358 1
< 0.1%
332 1
< 0.1%

2007-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct103
Distinct (%)4.2%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean9.9787582
Minimum0
Maximum2787
Zeros931
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:31.450755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile27
Maximum2787
Range2787
Interquartile range (IQR)5

Descriptive statistics

Standard deviation78.411911
Coefficient of variation (CV)7.8578827
Kurtosis793.74719
Mean9.9787582
Median Absolute Deviation (MAD)1
Skewness25.69651
Sum24428
Variance6148.4278
MonotonicityNot monotonic
2024-04-06T18:01:31.665909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
34.3%
1 466
17.1%
2 208
 
7.7%
3 125
 
4.6%
4 79
 
2.9%
5 78
 
2.9%
6 60
 
2.2%
8 43
 
1.6%
7 42
 
1.5%
9 37
 
1.4%
Other values (93) 379
13.9%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 931
34.3%
1 466
17.1%
2 208
 
7.7%
3 125
 
4.6%
4 79
 
2.9%
5 78
 
2.9%
6 60
 
2.2%
7 42
 
1.5%
8 43
 
1.6%
9 37
 
1.4%
ValueCountFrequency (%)
2787 1
< 0.1%
1877 1
< 0.1%
997 1
< 0.1%
889 1
< 0.1%
662 1
< 0.1%
547 1
< 0.1%
409 1
< 0.1%
400 1
< 0.1%
353 1
< 0.1%
314 1
< 0.1%

2007-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct103
Distinct (%)4.2%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean9.9330065
Minimum0
Maximum2645
Zeros914
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:31.886724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile26
Maximum2645
Range2645
Interquartile range (IQR)5

Descriptive statistics

Standard deviation77.771182
Coefficient of variation (CV)7.8295712
Kurtosis729.4135
Mean9.9330065
Median Absolute Deviation (MAD)1
Skewness24.75979
Sum24316
Variance6048.3568
MonotonicityNot monotonic
2024-04-06T18:01:32.139218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 914
33.6%
1 470
17.3%
2 219
 
8.1%
3 128
 
4.7%
4 86
 
3.2%
5 71
 
2.6%
6 59
 
2.2%
7 51
 
1.9%
8 43
 
1.6%
9 32
 
1.2%
Other values (93) 375
13.8%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 914
33.6%
1 470
17.3%
2 219
 
8.1%
3 128
 
4.7%
4 86
 
3.2%
5 71
 
2.6%
6 59
 
2.2%
7 51
 
1.9%
8 43
 
1.6%
9 32
 
1.2%
ValueCountFrequency (%)
2645 1
< 0.1%
1984 1
< 0.1%
962 1
< 0.1%
953 1
< 0.1%
655 1
< 0.1%
598 1
< 0.1%
432 1
< 0.1%
369 1
< 0.1%
362 1
< 0.1%
346 1
< 0.1%

2007-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)4.1%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean11.051471
Minimum0
Maximum2574
Zeros904
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:32.384446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile28
Maximum2574
Range2574
Interquartile range (IQR)4

Descriptive statistics

Standard deviation91.639977
Coefficient of variation (CV)8.292107
Kurtosis475.65214
Mean11.051471
Median Absolute Deviation (MAD)1
Skewness20.46591
Sum27054
Variance8397.8854
MonotonicityNot monotonic
2024-04-06T18:01:32.643576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 904
33.3%
1 494
18.2%
2 197
 
7.2%
3 156
 
5.7%
4 94
 
3.5%
5 80
 
2.9%
6 51
 
1.9%
7 46
 
1.7%
10 37
 
1.4%
9 36
 
1.3%
Other values (90) 353
 
13.0%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 904
33.3%
1 494
18.2%
2 197
 
7.2%
3 156
 
5.7%
4 94
 
3.5%
5 80
 
2.9%
6 51
 
1.9%
7 46
 
1.7%
8 36
 
1.3%
9 36
 
1.3%
ValueCountFrequency (%)
2574 1
< 0.1%
2181 1
< 0.1%
1818 1
< 0.1%
1326 1
< 0.1%
1288 1
< 0.1%
854 1
< 0.1%
607 1
< 0.1%
509 1
< 0.1%
414 1
< 0.1%
375 1
< 0.1%

2007-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct98
Distinct (%)4.0%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean8.6740196
Minimum0
Maximum2251
Zeros962
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:32.864678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum2251
Range2251
Interquartile range (IQR)4

Descriptive statistics

Standard deviation66.929969
Coefficient of variation (CV)7.7161422
Kurtosis702.89041
Mean8.6740196
Median Absolute Deviation (MAD)1
Skewness24.297147
Sum21234
Variance4479.6207
MonotonicityNot monotonic
2024-04-06T18:01:33.121398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 962
35.4%
1 500
18.4%
2 199
 
7.3%
3 121
 
4.5%
4 84
 
3.1%
5 72
 
2.6%
6 47
 
1.7%
7 42
 
1.5%
9 40
 
1.5%
8 37
 
1.4%
Other values (88) 344
 
12.7%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 962
35.4%
1 500
18.4%
2 199
 
7.3%
3 121
 
4.5%
4 84
 
3.1%
5 72
 
2.6%
6 47
 
1.7%
7 42
 
1.5%
8 37
 
1.4%
9 40
 
1.5%
ValueCountFrequency (%)
2251 1
< 0.1%
1688 1
< 0.1%
923 1
< 0.1%
810 1
< 0.1%
586 1
< 0.1%
509 1
< 0.1%
383 1
< 0.1%
361 1
< 0.1%
323 1
< 0.1%
252 1
< 0.1%

2007-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct94
Distinct (%)3.8%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean10.587827
Minimum0
Maximum2412
Zeros933
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:33.390216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile28
Maximum2412
Range2412
Interquartile range (IQR)4

Descriptive statistics

Standard deviation85.492838
Coefficient of variation (CV)8.0746351
Kurtosis462.50008
Mean10.587827
Median Absolute Deviation (MAD)1
Skewness20.088173
Sum25919
Variance7309.0254
MonotonicityNot monotonic
2024-04-06T18:01:33.635384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 933
34.3%
1 494
18.2%
2 202
 
7.4%
3 120
 
4.4%
4 96
 
3.5%
5 68
 
2.5%
7 55
 
2.0%
6 53
 
1.9%
8 38
 
1.4%
9 35
 
1.3%
Other values (84) 354
 
13.0%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 933
34.3%
1 494
18.2%
2 202
 
7.4%
3 120
 
4.4%
4 96
 
3.5%
5 68
 
2.5%
6 53
 
1.9%
7 55
 
2.0%
8 38
 
1.4%
9 35
 
1.3%
ValueCountFrequency (%)
2412 1
< 0.1%
1984 1
< 0.1%
1679 1
< 0.1%
1126 1
< 0.1%
1120 1
< 0.1%
1048 1
< 0.1%
647 1
< 0.1%
534 1
< 0.1%
400 1
< 0.1%
383 1
< 0.1%

2007-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)4.0%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean10.51348
Minimum0
Maximum2561
Zeros968
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:33.876659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26
Maximum2561
Range2561
Interquartile range (IQR)4

Descriptive statistics

Standard deviation88.329762
Coefficient of variation (CV)8.401572
Kurtosis487.82922
Mean10.51348
Median Absolute Deviation (MAD)1
Skewness20.634869
Sum25737
Variance7802.1469
MonotonicityNot monotonic
2024-04-06T18:01:34.131429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 968
35.6%
1 491
18.1%
2 185
 
6.8%
3 150
 
5.5%
4 77
 
2.8%
5 70
 
2.6%
7 48
 
1.8%
6 43
 
1.6%
8 41
 
1.5%
10 31
 
1.1%
Other values (89) 344
 
12.7%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 968
35.6%
1 491
18.1%
2 185
 
6.8%
3 150
 
5.5%
4 77
 
2.8%
5 70
 
2.6%
6 43
 
1.6%
7 48
 
1.8%
8 41
 
1.5%
9 30
 
1.1%
ValueCountFrequency (%)
2561 1
< 0.1%
2032 1
< 0.1%
1737 1
< 0.1%
1204 1
< 0.1%
1195 1
< 0.1%
928 1
< 0.1%
699 1
< 0.1%
491 1
< 0.1%
352 1
< 0.1%
317 1
< 0.1%

2007-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct90
Distinct (%)3.7%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean9.9873366
Minimum0
Maximum2531
Zeros1039
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:34.790613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile22
Maximum2531
Range2531
Interquartile range (IQR)4

Descriptive statistics

Standard deviation93.821968
Coefficient of variation (CV)9.394093
Kurtosis460.816
Mean9.9873366
Median Absolute Deviation (MAD)1
Skewness20.55806
Sum24449
Variance8802.5618
MonotonicityNot monotonic
2024-04-06T18:01:35.341341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1039
38.2%
1 469
17.3%
2 203
 
7.5%
3 116
 
4.3%
4 77
 
2.8%
5 75
 
2.8%
6 58
 
2.1%
7 40
 
1.5%
10 37
 
1.4%
8 34
 
1.3%
Other values (80) 300
 
11.0%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 1039
38.2%
1 469
17.3%
2 203
 
7.5%
3 116
 
4.3%
4 77
 
2.8%
5 75
 
2.8%
6 58
 
2.1%
7 40
 
1.5%
8 34
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
2531 1
< 0.1%
2170 1
< 0.1%
1803 1
< 0.1%
1798 1
< 0.1%
1466 1
< 0.1%
793 1
< 0.1%
510 1
< 0.1%
463 1
< 0.1%
317 1
< 0.1%
310 1
< 0.1%

2007-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.7%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean11.741013
Minimum0
Maximum3313
Zeros899
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:35.666174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile31.65
Maximum3313
Range3313
Interquartile range (IQR)5

Descriptive statistics

Standard deviation93.16285
Coefficient of variation (CV)7.9348221
Kurtosis761.96049
Mean11.741013
Median Absolute Deviation (MAD)1
Skewness24.969781
Sum28742
Variance8679.3166
MonotonicityNot monotonic
2024-04-06T18:01:35.928264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
33.1%
1 454
16.7%
2 215
 
7.9%
3 142
 
5.2%
4 92
 
3.4%
5 63
 
2.3%
7 51
 
1.9%
8 42
 
1.5%
9 38
 
1.4%
6 38
 
1.4%
Other values (106) 414
15.2%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 899
33.1%
1 454
16.7%
2 215
 
7.9%
3 142
 
5.2%
4 92
 
3.4%
5 63
 
2.3%
6 38
 
1.4%
7 51
 
1.9%
8 42
 
1.5%
9 38
 
1.4%
ValueCountFrequency (%)
3313 1
< 0.1%
1994 1
< 0.1%
1419 1
< 0.1%
1165 1
< 0.1%
848 1
< 0.1%
580 1
< 0.1%
425 1
< 0.1%
418 1
< 0.1%
393 1
< 0.1%
367 1
< 0.1%

2007-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct108
Distinct (%)4.4%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean11.217729
Minimum0
Maximum3112
Zeros900
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:36.172626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32.65
Maximum3112
Range3112
Interquartile range (IQR)5

Descriptive statistics

Standard deviation88.03605
Coefficient of variation (CV)7.8479389
Kurtosis759.7659
Mean11.217729
Median Absolute Deviation (MAD)1
Skewness25.009166
Sum27461
Variance7750.3461
MonotonicityNot monotonic
2024-04-06T18:01:36.428885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
33.1%
1 478
17.6%
2 213
 
7.8%
3 121
 
4.5%
4 89
 
3.3%
5 65
 
2.4%
6 54
 
2.0%
8 44
 
1.6%
7 44
 
1.6%
9 42
 
1.5%
Other values (98) 398
14.6%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 900
33.1%
1 478
17.6%
2 213
 
7.8%
3 121
 
4.5%
4 89
 
3.3%
5 65
 
2.4%
6 54
 
2.0%
7 44
 
1.6%
8 44
 
1.6%
9 42
 
1.5%
ValueCountFrequency (%)
3112 1
< 0.1%
1979 1
< 0.1%
1274 1
< 0.1%
1070 1
< 0.1%
776 1
< 0.1%
588 1
< 0.1%
436 1
< 0.1%
417 1
< 0.1%
413 1
< 0.1%
362 1
< 0.1%

2007-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct104
Distinct (%)4.2%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean10.205882
Minimum0
Maximum2991
Zeros940
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:36.686887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile30
Maximum2991
Range2991
Interquartile range (IQR)5

Descriptive statistics

Standard deviation81.024201
Coefficient of variation (CV)7.9389707
Kurtosis869.93744
Mean10.205882
Median Absolute Deviation (MAD)1
Skewness26.858553
Sum24984
Variance6564.9212
MonotonicityNot monotonic
2024-04-06T18:01:36.911861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 940
34.6%
1 468
17.2%
2 204
 
7.5%
3 125
 
4.6%
4 81
 
3.0%
6 71
 
2.6%
7 53
 
1.9%
5 52
 
1.9%
10 39
 
1.4%
9 37
 
1.4%
Other values (94) 378
13.9%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 940
34.6%
1 468
17.2%
2 204
 
7.5%
3 125
 
4.6%
4 81
 
3.0%
5 52
 
1.9%
6 71
 
2.6%
7 53
 
1.9%
8 34
 
1.3%
9 37
 
1.4%
ValueCountFrequency (%)
2991 1
< 0.1%
1811 1
< 0.1%
1136 1
< 0.1%
878 1
< 0.1%
522 1
< 0.1%
492 1
< 0.1%
380 1
< 0.1%
378 1
< 0.1%
350 1
< 0.1%
294 1
< 0.1%

2008-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct106
Distinct (%)4.3%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean9.9869281
Minimum0
Maximum3102
Zeros977
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:37.155865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile30.65
Maximum3102
Range3102
Interquartile range (IQR)4

Descriptive statistics

Standard deviation81.770397
Coefficient of variation (CV)8.1877427
Kurtosis945.1246
Mean9.9869281
Median Absolute Deviation (MAD)1
Skewness28.034481
Sum24448
Variance6686.3979
MonotonicityNot monotonic
2024-04-06T18:01:37.408114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
35.9%
1 456
16.8%
2 205
 
7.5%
3 116
 
4.3%
4 92
 
3.4%
5 61
 
2.2%
6 57
 
2.1%
7 53
 
1.9%
8 41
 
1.5%
10 38
 
1.4%
Other values (96) 352
 
13.0%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 977
35.9%
1 456
16.8%
2 205
 
7.5%
3 116
 
4.3%
4 92
 
3.4%
5 61
 
2.2%
6 57
 
2.1%
7 53
 
1.9%
8 41
 
1.5%
9 30
 
1.1%
ValueCountFrequency (%)
3102 1
< 0.1%
1793 1
< 0.1%
1105 1
< 0.1%
759 1
< 0.1%
591 1
< 0.1%
444 1
< 0.1%
337 1
< 0.1%
330 1
< 0.1%
329 1
< 0.1%
274 1
< 0.1%

2008-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct97
Distinct (%)4.0%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean9.2728758
Minimum0
Maximum2774
Zeros1000
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:37.678921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile27
Maximum2774
Range2774
Interquartile range (IQR)4

Descriptive statistics

Standard deviation75.121402
Coefficient of variation (CV)8.1011979
Kurtosis881.66474
Mean9.2728758
Median Absolute Deviation (MAD)1
Skewness27.126821
Sum22700
Variance5643.2251
MonotonicityNot monotonic
2024-04-06T18:01:37.956375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1000
36.8%
1 488
18.0%
2 188
 
6.9%
3 105
 
3.9%
4 94
 
3.5%
5 67
 
2.5%
6 48
 
1.8%
7 45
 
1.7%
8 45
 
1.7%
9 29
 
1.1%
Other values (87) 339
 
12.5%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 1000
36.8%
1 488
18.0%
2 188
 
6.9%
3 105
 
3.9%
4 94
 
3.5%
5 67
 
2.5%
6 48
 
1.8%
7 45
 
1.7%
8 45
 
1.7%
9 29
 
1.1%
ValueCountFrequency (%)
2774 1
< 0.1%
1727 1
< 0.1%
1081 1
< 0.1%
659 1
< 0.1%
460 1
< 0.1%
458 1
< 0.1%
344 1
< 0.1%
337 1
< 0.1%
326 1
< 0.1%
295 1
< 0.1%

2008-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct108
Distinct (%)4.4%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean11.61969
Minimum0
Maximum3337
Zeros873
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:38.205009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile34.3
Maximum3337
Range3337
Interquartile range (IQR)5

Descriptive statistics

Standard deviation93.335286
Coefficient of variation (CV)8.0325112
Kurtosis819.30368
Mean11.61969
Median Absolute Deviation (MAD)1
Skewness26.20734
Sum28445
Variance8711.4757
MonotonicityNot monotonic
2024-04-06T18:01:38.464643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 873
32.1%
1 484
17.8%
2 206
 
7.6%
3 127
 
4.7%
4 87
 
3.2%
5 70
 
2.6%
6 52
 
1.9%
7 47
 
1.7%
8 43
 
1.6%
9 35
 
1.3%
Other values (98) 424
15.6%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 873
32.1%
1 484
17.8%
2 206
 
7.6%
3 127
 
4.7%
4 87
 
3.2%
5 70
 
2.6%
6 52
 
1.9%
7 47
 
1.7%
8 43
 
1.6%
9 35
 
1.3%
ValueCountFrequency (%)
3337 1
< 0.1%
2284 1
< 0.1%
1227 1
< 0.1%
899 1
< 0.1%
680 1
< 0.1%
661 1
< 0.1%
515 1
< 0.1%
478 1
< 0.1%
437 1
< 0.1%
418 1
< 0.1%

2008-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.7%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean13.350082
Minimum0
Maximum3769
Zeros859
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:38.744443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile38
Maximum3769
Range3769
Interquartile range (IQR)6

Descriptive statistics

Standard deviation107.24046
Coefficient of variation (CV)8.0329438
Kurtosis789.25012
Mean13.350082
Median Absolute Deviation (MAD)1
Skewness25.720952
Sum32681
Variance11500.515
MonotonicityNot monotonic
2024-04-06T18:01:39.009199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 859
31.6%
1 423
15.6%
2 201
 
7.4%
3 148
 
5.4%
4 88
 
3.2%
5 78
 
2.9%
6 64
 
2.4%
7 48
 
1.8%
8 37
 
1.4%
9 34
 
1.3%
Other values (106) 468
17.2%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 859
31.6%
1 423
15.6%
2 201
 
7.4%
3 148
 
5.4%
4 88
 
3.2%
5 78
 
2.9%
6 64
 
2.4%
7 48
 
1.8%
8 37
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
3769 1
< 0.1%
2693 1
< 0.1%
1240 1
< 0.1%
1144 1
< 0.1%
824 1
< 0.1%
815 1
< 0.1%
719 1
< 0.1%
576 1
< 0.1%
550 1
< 0.1%
462 1
< 0.1%

2008-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct103
Distinct (%)4.2%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean11.857026
Minimum0
Maximum3176
Zeros860
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:39.242538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile33
Maximum3176
Range3176
Interquartile range (IQR)6

Descriptive statistics

Standard deviation93.135
Coefficient of variation (CV)7.8548364
Kurtosis730.7686
Mean11.857026
Median Absolute Deviation (MAD)1
Skewness24.761099
Sum29026
Variance8674.1283
MonotonicityNot monotonic
2024-04-06T18:01:39.477756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 860
31.6%
1 438
16.1%
2 218
 
8.0%
3 134
 
4.9%
4 103
 
3.8%
5 69
 
2.5%
6 61
 
2.2%
7 55
 
2.0%
10 44
 
1.6%
9 35
 
1.3%
Other values (93) 431
15.9%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 860
31.6%
1 438
16.1%
2 218
 
8.0%
3 134
 
4.9%
4 103
 
3.8%
5 69
 
2.5%
6 61
 
2.2%
7 55
 
2.0%
8 35
 
1.3%
9 35
 
1.3%
ValueCountFrequency (%)
3176 1
< 0.1%
2361 1
< 0.1%
1187 1
< 0.1%
1088 1
< 0.1%
759 1
< 0.1%
729 1
< 0.1%
539 1
< 0.1%
515 1
< 0.1%
452 1
< 0.1%
442 1
< 0.1%

2008-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct111
Distinct (%)4.5%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean11.736821
Minimum0
Maximum3164
Zeros863
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:39.728307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile36
Maximum3164
Range3164
Interquartile range (IQR)6

Descriptive statistics

Standard deviation91.128481
Coefficient of variation (CV)7.7643242
Kurtosis746.29759
Mean11.736821
Median Absolute Deviation (MAD)1
Skewness24.943393
Sum28943
Variance8304.4001
MonotonicityNot monotonic
2024-04-06T18:01:39.988259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 863
31.8%
1 474
17.4%
2 195
 
7.2%
3 137
 
5.0%
4 94
 
3.5%
6 74
 
2.7%
5 65
 
2.4%
7 50
 
1.8%
8 44
 
1.6%
10 36
 
1.3%
Other values (101) 434
16.0%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 863
31.8%
1 474
17.4%
2 195
 
7.2%
3 137
 
5.0%
4 94
 
3.5%
5 65
 
2.4%
6 74
 
2.7%
7 50
 
1.8%
8 44
 
1.6%
9 31
 
1.1%
ValueCountFrequency (%)
3164 1
< 0.1%
2229 1
< 0.1%
1169 1
< 0.1%
1135 1
< 0.1%
797 1
< 0.1%
667 1
< 0.1%
498 1
< 0.1%
484 1
< 0.1%
475 1
< 0.1%
385 1
< 0.1%

2008-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct110
Distinct (%)4.5%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean11.787916
Minimum0
Maximum3198
Zeros852
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:40.266969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile34.75
Maximum3198
Range3198
Interquartile range (IQR)5

Descriptive statistics

Standard deviation91.684688
Coefficient of variation (CV)7.7778541
Kurtosis753.48254
Mean11.787916
Median Absolute Deviation (MAD)1
Skewness25.047729
Sum29069
Variance8406.082
MonotonicityNot monotonic
2024-04-06T18:01:40.506087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 852
31.3%
1 502
18.5%
2 197
 
7.2%
3 135
 
5.0%
4 88
 
3.2%
5 78
 
2.9%
6 61
 
2.2%
7 48
 
1.8%
8 40
 
1.5%
10 35
 
1.3%
Other values (100) 430
15.8%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 852
31.3%
1 502
18.5%
2 197
 
7.2%
3 135
 
5.0%
4 88
 
3.2%
5 78
 
2.9%
6 61
 
2.2%
7 48
 
1.8%
8 40
 
1.5%
9 27
 
1.0%
ValueCountFrequency (%)
3198 1
< 0.1%
2227 1
< 0.1%
1234 1
< 0.1%
1071 1
< 0.1%
848 1
< 0.1%
608 1
< 0.1%
540 1
< 0.1%
481 1
< 0.1%
397 1
< 0.1%
328 1
< 0.1%

2008-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct97
Distinct (%)3.9%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean8.689781
Minimum0
Maximum2393
Zeros970
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:40.751828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26
Maximum2393
Range2393
Interquartile range (IQR)4

Descriptive statistics

Standard deviation67.312211
Coefficient of variation (CV)7.7461343
Kurtosis791.34246
Mean8.689781
Median Absolute Deviation (MAD)1
Skewness25.689835
Sum21429
Variance4530.9337
MonotonicityNot monotonic
2024-04-06T18:01:41.002056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 970
35.7%
1 489
18.0%
2 217
 
8.0%
3 114
 
4.2%
5 74
 
2.7%
4 74
 
2.7%
6 62
 
2.3%
8 48
 
1.8%
7 45
 
1.7%
9 33
 
1.2%
Other values (87) 340
 
12.5%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 970
35.7%
1 489
18.0%
2 217
 
8.0%
3 114
 
4.2%
4 74
 
2.7%
5 74
 
2.7%
6 62
 
2.3%
7 45
 
1.7%
8 48
 
1.8%
9 33
 
1.2%
ValueCountFrequency (%)
2393 1
< 0.1%
1609 1
< 0.1%
915 1
< 0.1%
785 1
< 0.1%
596 1
< 0.1%
386 1
< 0.1%
377 1
< 0.1%
334 1
< 0.1%
260 1
< 0.1%
215 1
< 0.1%

2008-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct93
Distinct (%)3.8%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean8.1090835
Minimum0
Maximum2362
Zeros967
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:41.280310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile24
Maximum2362
Range2362
Interquartile range (IQR)4

Descriptive statistics

Standard deviation64.376213
Coefficient of variation (CV)7.9387779
Kurtosis864.0001
Mean8.1090835
Median Absolute Deviation (MAD)1
Skewness26.846888
Sum19997
Variance4144.2968
MonotonicityNot monotonic
2024-04-06T18:01:41.503574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 967
35.6%
1 528
19.4%
2 220
 
8.1%
3 124
 
4.6%
4 84
 
3.1%
5 72
 
2.6%
6 52
 
1.9%
7 46
 
1.7%
9 40
 
1.5%
8 32
 
1.2%
Other values (83) 301
 
11.1%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 967
35.6%
1 528
19.4%
2 220
 
8.1%
3 124
 
4.6%
4 84
 
3.1%
5 72
 
2.6%
6 52
 
1.9%
7 46
 
1.7%
8 32
 
1.2%
9 40
 
1.5%
ValueCountFrequency (%)
2362 1
< 0.1%
1511 1
< 0.1%
853 1
< 0.1%
666 1
< 0.1%
527 1
< 0.1%
364 1
< 0.1%
323 1
< 0.1%
301 1
< 0.1%
231 1
< 0.1%
228 1
< 0.1%

2008-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)4.1%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean8.5843471
Minimum0
Maximum2589
Zeros951
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:42.157669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26.75
Maximum2589
Range2589
Interquartile range (IQR)4

Descriptive statistics

Standard deviation68.885274
Coefficient of variation (CV)8.024521
Kurtosis913.59024
Mean8.5843471
Median Absolute Deviation (MAD)1
Skewness27.489147
Sum21169
Variance4745.1809
MonotonicityNot monotonic
2024-04-06T18:01:42.434040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 951
35.0%
1 553
20.3%
2 218
 
8.0%
3 117
 
4.3%
4 82
 
3.0%
6 66
 
2.4%
5 64
 
2.4%
7 48
 
1.8%
8 37
 
1.4%
9 23
 
0.8%
Other values (90) 307
 
11.3%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 951
35.0%
1 553
20.3%
2 218
 
8.0%
3 117
 
4.3%
4 82
 
3.0%
5 64
 
2.4%
6 66
 
2.4%
7 48
 
1.8%
8 37
 
1.4%
9 23
 
0.8%
ValueCountFrequency (%)
2589 1
< 0.1%
1533 1
< 0.1%
926 1
< 0.1%
659 1
< 0.1%
495 1
< 0.1%
410 1
< 0.1%
352 1
< 0.1%
332 1
< 0.1%
297 1
< 0.1%
244 1
< 0.1%

2008-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct94
Distinct (%)3.8%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean6.7368208
Minimum0
Maximum1868
Zeros1065
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:42.703491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20
Maximum1868
Range1868
Interquartile range (IQR)3

Descriptive statistics

Standard deviation52.62625
Coefficient of variation (CV)7.8117337
Kurtosis788.70296
Mean6.7368208
Median Absolute Deviation (MAD)1
Skewness25.719587
Sum16613
Variance2769.5222
MonotonicityNot monotonic
2024-04-06T18:01:42.971804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1065
39.2%
1 531
19.5%
2 188
 
6.9%
3 110
 
4.0%
4 97
 
3.6%
5 73
 
2.7%
6 49
 
1.8%
7 33
 
1.2%
10 33
 
1.2%
8 30
 
1.1%
Other values (84) 257
 
9.5%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 1065
39.2%
1 531
19.5%
2 188
 
6.9%
3 110
 
4.0%
4 97
 
3.6%
5 73
 
2.7%
6 49
 
1.8%
7 33
 
1.2%
8 30
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
1868 1
< 0.1%
1233 1
< 0.1%
867 1
< 0.1%
529 1
< 0.1%
428 1
< 0.1%
295 1
< 0.1%
213 1
< 0.1%
203 1
< 0.1%
199 1
< 0.1%
174 1
< 0.1%

2008-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct84
Distinct (%)3.4%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean6.7935929
Minimum0
Maximum2061
Zeros1083
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:43.256146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile19
Maximum2061
Range2061
Interquartile range (IQR)3

Descriptive statistics

Standard deviation54.3936
Coefficient of variation (CV)8.0066028
Kurtosis904.43883
Mean6.7935929
Median Absolute Deviation (MAD)1
Skewness27.070775
Sum16753
Variance2958.6637
MonotonicityNot monotonic
2024-04-06T18:01:43.536704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
39.8%
1 509
18.7%
2 194
 
7.1%
3 106
 
3.9%
4 100
 
3.7%
5 80
 
2.9%
6 45
 
1.7%
8 42
 
1.5%
7 35
 
1.3%
9 31
 
1.1%
Other values (74) 241
 
8.9%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 1083
39.8%
1 509
18.7%
2 194
 
7.1%
3 106
 
3.9%
4 100
 
3.7%
5 80
 
2.9%
6 45
 
1.7%
7 35
 
1.3%
8 42
 
1.5%
9 31
 
1.1%
ValueCountFrequency (%)
2061 1
< 0.1%
983 1
< 0.1%
888 1
< 0.1%
618 1
< 0.1%
485 1
< 0.1%
326 1
< 0.1%
272 1
< 0.1%
209 1
< 0.1%
192 1
< 0.1%
163 2
0.1%

2009-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)3.1%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean5.6654501
Minimum0
Maximum1671
Zeros1185
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:43.795295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.75
95-th percentile17
Maximum1671
Range1671
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation44.732765
Coefficient of variation (CV)7.8957125
Kurtosis879.25643
Mean5.6654501
Median Absolute Deviation (MAD)1
Skewness26.870423
Sum13971
Variance2001.0203
MonotonicityNot monotonic
2024-04-06T18:01:44.048026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1185
43.6%
1 473
 
17.4%
2 191
 
7.0%
3 110
 
4.0%
4 82
 
3.0%
5 63
 
2.3%
6 54
 
2.0%
7 42
 
1.5%
8 30
 
1.1%
9 25
 
0.9%
Other values (67) 211
 
7.8%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 1185
43.6%
1 473
 
17.4%
2 191
 
7.0%
3 110
 
4.0%
4 82
 
3.0%
5 63
 
2.3%
6 54
 
2.0%
7 42
 
1.5%
8 30
 
1.1%
9 25
 
0.9%
ValueCountFrequency (%)
1671 1
< 0.1%
841 1
< 0.1%
829 1
< 0.1%
380 1
< 0.1%
361 1
< 0.1%
305 1
< 0.1%
195 1
< 0.1%
164 1
< 0.1%
157 1
< 0.1%
156 1
< 0.1%

2009-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct90
Distinct (%)3.6%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean7.5587997
Minimum0
Maximum2148
Zeros1036
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:44.273604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile23.75
Maximum2148
Range2148
Interquartile range (IQR)3

Descriptive statistics

Standard deviation59.191394
Coefficient of variation (CV)7.8307927
Kurtosis816.05363
Mean7.5587997
Median Absolute Deviation (MAD)1
Skewness26.023828
Sum18640
Variance3503.6211
MonotonicityNot monotonic
2024-04-06T18:01:44.492092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1036
38.1%
1 491
18.1%
2 202
 
7.4%
3 128
 
4.7%
4 79
 
2.9%
5 57
 
2.1%
6 53
 
1.9%
8 48
 
1.8%
9 43
 
1.6%
7 42
 
1.5%
Other values (80) 287
 
10.6%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 1036
38.1%
1 491
18.1%
2 202
 
7.4%
3 128
 
4.7%
4 79
 
2.9%
5 57
 
2.1%
6 53
 
1.9%
7 42
 
1.5%
8 48
 
1.8%
9 43
 
1.6%
ValueCountFrequency (%)
2148 1
< 0.1%
1239 1
< 0.1%
1064 1
< 0.1%
530 1
< 0.1%
520 1
< 0.1%
397 1
< 0.1%
308 1
< 0.1%
251 1
< 0.1%
237 1
< 0.1%
208 1
< 0.1%

2009-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)4.1%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean9.6147607
Minimum0
Maximum2673
Zeros912
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:44.750344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile29
Maximum2673
Range2673
Interquartile range (IQR)4

Descriptive statistics

Standard deviation74.428288
Coefficient of variation (CV)7.7410442
Kurtosis790.35945
Mean9.6147607
Median Absolute Deviation (MAD)1
Skewness25.601237
Sum23710
Variance5539.57
MonotonicityNot monotonic
2024-04-06T18:01:45.016076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 912
33.6%
1 532
19.6%
2 212
 
7.8%
3 108
 
4.0%
4 89
 
3.3%
5 81
 
3.0%
6 56
 
2.1%
7 44
 
1.6%
10 35
 
1.3%
12 32
 
1.2%
Other values (90) 365
13.4%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 912
33.6%
1 532
19.6%
2 212
 
7.8%
3 108
 
4.0%
4 89
 
3.3%
5 81
 
3.0%
6 56
 
2.1%
7 44
 
1.6%
8 31
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
2673 1
< 0.1%
1498 1
< 0.1%
1438 1
< 0.1%
673 1
< 0.1%
609 1
< 0.1%
575 1
< 0.1%
366 1
< 0.1%
325 1
< 0.1%
292 1
< 0.1%
269 1
< 0.1%

2009-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct104
Distinct (%)4.2%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean9.9955393
Minimum0
Maximum2887
Zeros887
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:45.262442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile28
Maximum2887
Range2887
Interquartile range (IQR)5

Descriptive statistics

Standard deviation78.477487
Coefficient of variation (CV)7.8512509
Kurtosis835.94862
Mean9.9955393
Median Absolute Deviation (MAD)1
Skewness26.176012
Sum24649
Variance6158.716
MonotonicityNot monotonic
2024-04-06T18:01:45.546937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 887
32.6%
1 531
19.5%
2 199
 
7.3%
3 128
 
4.7%
4 87
 
3.2%
5 68
 
2.5%
6 59
 
2.2%
7 49
 
1.8%
8 40
 
1.5%
9 34
 
1.3%
Other values (94) 384
14.1%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 887
32.6%
1 531
19.5%
2 199
 
7.3%
3 128
 
4.7%
4 87
 
3.2%
5 68
 
2.5%
6 59
 
2.2%
7 49
 
1.8%
8 40
 
1.5%
9 34
 
1.3%
ValueCountFrequency (%)
2887 1
< 0.1%
1561 1
< 0.1%
1344 1
< 0.1%
794 1
< 0.1%
733 1
< 0.1%
486 1
< 0.1%
409 1
< 0.1%
398 1
< 0.1%
334 1
< 0.1%
266 1
< 0.1%

2009-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct98
Distinct (%)4.0%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean9.5202758
Minimum0
Maximum2757
Zeros899
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:45.802695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25.75
Maximum2757
Range2757
Interquartile range (IQR)5

Descriptive statistics

Standard deviation74.583124
Coefficient of variation (CV)7.8341348
Kurtosis844.66213
Mean9.5202758
Median Absolute Deviation (MAD)1
Skewness26.257549
Sum23477
Variance5562.6424
MonotonicityNot monotonic
2024-04-06T18:01:46.073328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
33.1%
1 502
18.5%
2 208
 
7.7%
3 131
 
4.8%
4 90
 
3.3%
5 74
 
2.7%
6 61
 
2.2%
7 45
 
1.7%
8 42
 
1.5%
9 35
 
1.3%
Other values (88) 379
13.9%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 899
33.1%
1 502
18.5%
2 208
 
7.7%
3 131
 
4.8%
4 90
 
3.3%
5 74
 
2.7%
6 61
 
2.2%
7 45
 
1.7%
8 42
 
1.5%
9 35
 
1.3%
ValueCountFrequency (%)
2757 1
< 0.1%
1494 1
< 0.1%
1187 1
< 0.1%
765 1
< 0.1%
738 1
< 0.1%
437 1
< 0.1%
436 1
< 0.1%
425 1
< 0.1%
361 1
< 0.1%
267 1
< 0.1%

2009-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct105
Distinct (%)4.3%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean10.95296
Minimum0
Maximum3156
Zeros871
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:46.286117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile31
Maximum3156
Range3156
Interquartile range (IQR)5

Descriptive statistics

Standard deviation85.543827
Coefficient of variation (CV)7.8101102
Kurtosis841.46879
Mean10.95296
Median Absolute Deviation (MAD)1
Skewness26.238574
Sum27010
Variance7317.7463
MonotonicityNot monotonic
2024-04-06T18:01:46.537653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 871
32.0%
1 494
18.2%
2 213
 
7.8%
3 117
 
4.3%
4 83
 
3.1%
5 78
 
2.9%
6 59
 
2.2%
8 44
 
1.6%
7 43
 
1.6%
10 40
 
1.5%
Other values (95) 424
15.6%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 871
32.0%
1 494
18.2%
2 213
 
7.8%
3 117
 
4.3%
4 83
 
3.1%
5 78
 
2.9%
6 59
 
2.2%
7 43
 
1.6%
8 44
 
1.6%
9 32
 
1.2%
ValueCountFrequency (%)
3156 1
< 0.1%
1714 1
< 0.1%
1391 1
< 0.1%
972 1
< 0.1%
735 1
< 0.1%
496 1
< 0.1%
476 1
< 0.1%
456 1
< 0.1%
352 1
< 0.1%
313 1
< 0.1%

2009-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct113
Distinct (%)4.6%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean11.856853
Minimum0
Maximum3195
Zeros840
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:46.789384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35.75
95-th percentile31.75
Maximum3195
Range3195
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation90.633445
Coefficient of variation (CV)7.6439712
Kurtosis733.12724
Mean11.856853
Median Absolute Deviation (MAD)1
Skewness24.470482
Sum29239
Variance8214.4213
MonotonicityNot monotonic
2024-04-06T18:01:47.071735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 840
30.9%
1 471
17.3%
2 212
 
7.8%
3 140
 
5.2%
4 95
 
3.5%
5 91
 
3.3%
6 62
 
2.3%
8 40
 
1.5%
7 40
 
1.5%
12 40
 
1.5%
Other values (103) 435
16.0%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 840
30.9%
1 471
17.3%
2 212
 
7.8%
3 140
 
5.2%
4 95
 
3.5%
5 91
 
3.3%
6 62
 
2.3%
7 40
 
1.5%
8 40
 
1.5%
9 30
 
1.1%
ValueCountFrequency (%)
3195 1
< 0.1%
1870 1
< 0.1%
1425 1
< 0.1%
1328 1
< 0.1%
736 1
< 0.1%
541 1
< 0.1%
526 1
< 0.1%
476 1
< 0.1%
405 1
< 0.1%
390 1
< 0.1%

2009-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct106
Distinct (%)4.3%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean10.665856
Minimum0
Maximum3101
Zeros869
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:47.345892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile28
Maximum3101
Range3101
Interquartile range (IQR)5

Descriptive statistics

Standard deviation84.317402
Coefficient of variation (CV)7.9053575
Kurtosis840.72067
Mean10.665856
Median Absolute Deviation (MAD)1
Skewness26.2803
Sum26302
Variance7109.4242
MonotonicityNot monotonic
2024-04-06T18:01:47.609138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 869
32.0%
1 509
18.7%
2 205
 
7.5%
3 121
 
4.5%
4 104
 
3.8%
5 57
 
2.1%
7 56
 
2.1%
6 53
 
1.9%
9 37
 
1.4%
8 37
 
1.4%
Other values (96) 418
15.4%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 869
32.0%
1 509
18.7%
2 205
 
7.5%
3 121
 
4.5%
4 104
 
3.8%
5 57
 
2.1%
6 53
 
1.9%
7 56
 
2.1%
8 37
 
1.4%
9 37
 
1.4%
ValueCountFrequency (%)
3101 1
< 0.1%
1767 1
< 0.1%
1346 1
< 0.1%
839 1
< 0.1%
734 1
< 0.1%
543 1
< 0.1%
474 1
< 0.1%
473 1
< 0.1%
342 1
< 0.1%
326 1
< 0.1%

2009-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct110
Distinct (%)4.5%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean12.187348
Minimum0
Maximum3498
Zeros840
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:47.870052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile32
Maximum3498
Range3498
Interquartile range (IQR)6

Descriptive statistics

Standard deviation96.224837
Coefficient of variation (CV)7.8954698
Kurtosis815.74757
Mean12.187348
Median Absolute Deviation (MAD)1
Skewness25.892207
Sum30054
Variance9259.2192
MonotonicityNot monotonic
2024-04-06T18:01:48.113366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 840
30.9%
1 470
17.3%
2 205
 
7.5%
3 155
 
5.7%
4 95
 
3.5%
5 66
 
2.4%
6 59
 
2.2%
8 44
 
1.6%
7 43
 
1.6%
10 39
 
1.4%
Other values (100) 450
16.6%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 840
30.9%
1 470
17.3%
2 205
 
7.5%
3 155
 
5.7%
4 95
 
3.5%
5 66
 
2.4%
6 59
 
2.2%
7 43
 
1.6%
8 44
 
1.6%
9 31
 
1.1%
ValueCountFrequency (%)
3498 1
< 0.1%
2102 1
< 0.1%
1394 1
< 0.1%
1067 1
< 0.1%
897 1
< 0.1%
663 1
< 0.1%
531 1
< 0.1%
490 1
< 0.1%
411 1
< 0.1%
364 1
< 0.1%

2009-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct110
Distinct (%)4.5%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean11.884428
Minimum0
Maximum3395
Zeros861
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:48.357763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile33.75
Maximum3395
Range3395
Interquartile range (IQR)6

Descriptive statistics

Standard deviation93.658397
Coefficient of variation (CV)7.8807659
Kurtosis811.17888
Mean11.884428
Median Absolute Deviation (MAD)1
Skewness25.870849
Sum29307
Variance8771.8954
MonotonicityNot monotonic
2024-04-06T18:01:48.581243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 861
31.7%
1 453
16.7%
2 229
 
8.4%
3 131
 
4.8%
4 101
 
3.7%
5 65
 
2.4%
7 51
 
1.9%
6 50
 
1.8%
8 43
 
1.6%
10 40
 
1.5%
Other values (100) 442
16.3%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 861
31.7%
1 453
16.7%
2 229
 
8.4%
3 131
 
4.8%
4 101
 
3.7%
5 65
 
2.4%
6 50
 
1.8%
7 51
 
1.9%
8 43
 
1.6%
9 37
 
1.4%
ValueCountFrequency (%)
3395 1
< 0.1%
2046 1
< 0.1%
1427 1
< 0.1%
1028 1
< 0.1%
885 1
< 0.1%
567 1
< 0.1%
512 1
< 0.1%
462 1
< 0.1%
404 1
< 0.1%
338 2
0.1%

2009-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct103
Distinct (%)4.2%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean10.650852
Minimum0
Maximum2955
Zeros890
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:48.810654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile29
Maximum2955
Range2955
Interquartile range (IQR)5

Descriptive statistics

Standard deviation82.294475
Coefficient of variation (CV)7.726563
Kurtosis788.31252
Mean10.650852
Median Absolute Deviation (MAD)1
Skewness25.520752
Sum26265
Variance6772.3807
MonotonicityNot monotonic
2024-04-06T18:01:49.094839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 890
32.7%
1 476
17.5%
2 215
 
7.9%
3 136
 
5.0%
4 93
 
3.4%
5 67
 
2.5%
6 57
 
2.1%
7 48
 
1.8%
9 39
 
1.4%
8 39
 
1.4%
Other values (93) 406
14.9%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 890
32.7%
1 476
17.5%
2 215
 
7.9%
3 136
 
5.0%
4 93
 
3.4%
5 67
 
2.5%
6 57
 
2.1%
7 48
 
1.8%
8 39
 
1.4%
9 39
 
1.4%
ValueCountFrequency (%)
2955 1
< 0.1%
1767 1
< 0.1%
1378 1
< 0.1%
922 1
< 0.1%
702 1
< 0.1%
491 1
< 0.1%
456 1
< 0.1%
433 1
< 0.1%
310 1
< 0.1%
290 1
< 0.1%

2009-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.4%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean11.167883
Minimum0
Maximum3022
Zeros853
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:49.843920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32.75
Maximum3022
Range3022
Interquartile range (IQR)5

Descriptive statistics

Standard deviation85.93487
Coefficient of variation (CV)7.6948217
Kurtosis737.30846
Mean11.167883
Median Absolute Deviation (MAD)1
Skewness24.708182
Sum27540
Variance7384.8018
MonotonicityNot monotonic
2024-04-06T18:01:50.100414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 853
31.4%
1 490
18.0%
2 215
 
7.9%
3 139
 
5.1%
4 104
 
3.8%
5 70
 
2.6%
8 55
 
2.0%
7 51
 
1.9%
6 49
 
1.8%
11 34
 
1.3%
Other values (99) 406
14.9%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 853
31.4%
1 490
18.0%
2 215
 
7.9%
3 139
 
5.1%
4 104
 
3.8%
5 70
 
2.6%
6 49
 
1.8%
7 51
 
1.9%
8 55
 
2.0%
9 34
 
1.3%
ValueCountFrequency (%)
3022 1
< 0.1%
1776 1
< 0.1%
1531 1
< 0.1%
1127 1
< 0.1%
763 1
< 0.1%
509 1
< 0.1%
504 1
< 0.1%
433 1
< 0.1%
340 1
< 0.1%
288 1
< 0.1%

2010-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct92
Distinct (%)3.7%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean7.9460665
Minimum0
Maximum2261
Zeros1004
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:50.416484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile24
Maximum2261
Range2261
Interquartile range (IQR)4

Descriptive statistics

Standard deviation62.118946
Coefficient of variation (CV)7.8175718
Kurtosis817.41913
Mean7.9460665
Median Absolute Deviation (MAD)1
Skewness25.983001
Sum19595
Variance3858.7634
MonotonicityNot monotonic
2024-04-06T18:01:50.672034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1004
36.9%
1 503
18.5%
2 184
 
6.8%
3 128
 
4.7%
4 84
 
3.1%
5 77
 
2.8%
8 53
 
1.9%
6 52
 
1.9%
7 36
 
1.3%
9 31
 
1.1%
Other values (82) 314
 
11.6%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 1004
36.9%
1 503
18.5%
2 184
 
6.8%
3 128
 
4.7%
4 84
 
3.1%
5 77
 
2.8%
6 52
 
1.9%
7 36
 
1.3%
8 53
 
1.9%
9 31
 
1.1%
ValueCountFrequency (%)
2261 1
< 0.1%
1297 1
< 0.1%
1048 1
< 0.1%
703 1
< 0.1%
491 1
< 0.1%
378 1
< 0.1%
361 1
< 0.1%
261 1
< 0.1%
249 1
< 0.1%
238 1
< 0.1%

2010-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct93
Distinct (%)3.8%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean8.714923
Minimum0
Maximum2478
Zeros980
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:50.921193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26
Maximum2478
Range2478
Interquartile range (IQR)4

Descriptive statistics

Standard deviation67.918172
Coefficient of variation (CV)7.7933187
Kurtosis823.68332
Mean8.714923
Median Absolute Deviation (MAD)1
Skewness26.069026
Sum21491
Variance4612.8781
MonotonicityNot monotonic
2024-04-06T18:01:51.197767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 980
36.1%
1 481
17.7%
2 202
 
7.4%
3 120
 
4.4%
4 90
 
3.3%
5 72
 
2.6%
6 63
 
2.3%
8 47
 
1.7%
9 35
 
1.3%
12 30
 
1.1%
Other values (83) 346
 
12.7%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 980
36.1%
1 481
17.7%
2 202
 
7.4%
3 120
 
4.4%
4 90
 
3.3%
5 72
 
2.6%
6 63
 
2.3%
7 29
 
1.1%
8 47
 
1.7%
9 35
 
1.3%
ValueCountFrequency (%)
2478 1
< 0.1%
1434 1
< 0.1%
1100 1
< 0.1%
805 1
< 0.1%
510 1
< 0.1%
419 1
< 0.1%
350 1
< 0.1%
288 1
< 0.1%
265 1
< 0.1%
250 1
< 0.1%

2010-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct102
Distinct (%)4.1%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean13.134631
Minimum0
Maximum3090
Zeros842
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:51.442128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile30
Maximum3090
Range3090
Interquartile range (IQR)5

Descriptive statistics

Standard deviation112.19313
Coefficient of variation (CV)8.54178
Kurtosis503.97643
Mean13.134631
Median Absolute Deviation (MAD)1
Skewness20.819519
Sum32390
Variance12587.298
MonotonicityNot monotonic
2024-04-06T18:01:51.699687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 842
31.0%
1 511
18.8%
2 233
 
8.6%
3 132
 
4.9%
4 83
 
3.1%
5 74
 
2.7%
6 56
 
2.1%
8 50
 
1.8%
7 46
 
1.7%
10 40
 
1.5%
Other values (92) 399
14.7%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 842
31.0%
1 511
18.8%
2 233
 
8.6%
3 132
 
4.9%
4 83
 
3.1%
5 74
 
2.7%
6 56
 
2.1%
7 46
 
1.7%
8 50
 
1.8%
9 33
 
1.2%
ValueCountFrequency (%)
3090 1
< 0.1%
3068 1
< 0.1%
1776 1
< 0.1%
1373 1
< 0.1%
1319 1
< 0.1%
1313 1
< 0.1%
1039 1
< 0.1%
855 1
< 0.1%
723 1
< 0.1%
439 1
< 0.1%

2010-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct101
Distinct (%)4.1%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean9.9030819
Minimum0
Maximum2910
Zeros855
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:51.931668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile27.75
Maximum2910
Range2910
Interquartile range (IQR)5

Descriptive statistics

Standard deviation78.183188
Coefficient of variation (CV)7.894834
Kurtosis871.67187
Mean9.9030819
Median Absolute Deviation (MAD)1
Skewness26.799198
Sum24421
Variance6112.6109
MonotonicityNot monotonic
2024-04-06T18:01:52.182968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 855
31.5%
1 520
19.1%
2 230
 
8.5%
3 115
 
4.2%
4 91
 
3.3%
5 74
 
2.7%
6 57
 
2.1%
7 52
 
1.9%
8 49
 
1.8%
9 41
 
1.5%
Other values (91) 382
14.1%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 855
31.5%
1 520
19.1%
2 230
 
8.5%
3 115
 
4.2%
4 91
 
3.3%
5 74
 
2.7%
6 57
 
2.1%
7 52
 
1.9%
8 49
 
1.8%
9 41
 
1.5%
ValueCountFrequency (%)
2910 1
< 0.1%
1615 1
< 0.1%
1221 1
< 0.1%
858 1
< 0.1%
701 1
< 0.1%
452 1
< 0.1%
332 1
< 0.1%
318 1
< 0.1%
309 1
< 0.1%
300 1
< 0.1%

2010-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct93
Distinct (%)3.8%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean8.3961882
Minimum0
Maximum2421
Zeros921
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:52.425636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile23.75
Maximum2421
Range2421
Interquartile range (IQR)4

Descriptive statistics

Standard deviation65.663899
Coefficient of variation (CV)7.8206798
Kurtosis842.20651
Mean8.3961882
Median Absolute Deviation (MAD)1
Skewness26.313627
Sum20705
Variance4311.7476
MonotonicityNot monotonic
2024-04-06T18:01:52.657853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
33.9%
1 519
19.1%
2 217
 
8.0%
3 114
 
4.2%
4 97
 
3.6%
5 72
 
2.6%
6 60
 
2.2%
7 55
 
2.0%
8 47
 
1.7%
9 42
 
1.5%
Other values (83) 322
 
11.8%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 921
33.9%
1 519
19.1%
2 217
 
8.0%
3 114
 
4.2%
4 97
 
3.6%
5 72
 
2.6%
6 60
 
2.2%
7 55
 
2.0%
8 47
 
1.7%
9 42
 
1.5%
ValueCountFrequency (%)
2421 1
< 0.1%
1323 1
< 0.1%
1062 1
< 0.1%
794 1
< 0.1%
579 1
< 0.1%
404 1
< 0.1%
289 1
< 0.1%
283 1
< 0.1%
275 1
< 0.1%
257 1
< 0.1%

2010-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct95
Distinct (%)3.9%
Missing252
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean8.8098135
Minimum0
Maximum2408
Zeros926
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:52.900963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26
Maximum2408
Range2408
Interquartile range (IQR)4

Descriptive statistics

Standard deviation67.110015
Coefficient of variation (CV)7.6176431
Kurtosis775.66935
Mean8.8098135
Median Absolute Deviation (MAD)1
Skewness25.280472
Sum21725
Variance4503.7541
MonotonicityNot monotonic
2024-04-06T18:01:53.116536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 926
34.1%
1 494
18.2%
2 224
 
8.2%
3 126
 
4.6%
4 91
 
3.3%
5 79
 
2.9%
7 59
 
2.2%
6 51
 
1.9%
8 42
 
1.5%
9 26
 
1.0%
Other values (85) 348
 
12.8%
(Missing) 252
 
9.3%
ValueCountFrequency (%)
0 926
34.1%
1 494
18.2%
2 224
 
8.2%
3 126
 
4.6%
4 91
 
3.3%
5 79
 
2.9%
6 51
 
1.9%
7 59
 
2.2%
8 42
 
1.5%
9 26
 
1.0%
ValueCountFrequency (%)
2408 1
< 0.1%
1319 1
< 0.1%
1206 1
< 0.1%
855 1
< 0.1%
592 1
< 0.1%
453 1
< 0.1%
346 1
< 0.1%
311 1
< 0.1%
273 1
< 0.1%
252 1
< 0.1%

2010-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct95
Distinct (%)3.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean8.2731649
Minimum0
Maximum2255
Zeros942
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:53.363330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26.4
Maximum2255
Range2255
Interquartile range (IQR)4

Descriptive statistics

Standard deviation62.369153
Coefficient of variation (CV)7.5387297
Kurtosis788.8675
Mean8.2731649
Median Absolute Deviation (MAD)1
Skewness25.456163
Sum20625
Variance3889.9113
MonotonicityNot monotonic
2024-04-06T18:01:53.648002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
34.7%
1 545
20.1%
2 211
 
7.8%
3 112
 
4.1%
4 93
 
3.4%
5 69
 
2.5%
6 62
 
2.3%
7 56
 
2.1%
8 43
 
1.6%
9 28
 
1.0%
Other values (85) 332
 
12.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 942
34.7%
1 545
20.1%
2 211
 
7.8%
3 112
 
4.1%
4 93
 
3.4%
5 69
 
2.5%
6 62
 
2.3%
7 56
 
2.1%
8 43
 
1.6%
9 28
 
1.0%
ValueCountFrequency (%)
2255 1
< 0.1%
1246 1
< 0.1%
1113 1
< 0.1%
764 1
< 0.1%
543 1
< 0.1%
435 1
< 0.1%
335 1
< 0.1%
285 1
< 0.1%
231 1
< 0.1%
224 1
< 0.1%

2010-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct89
Distinct (%)3.6%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean7.7276374
Minimum0
Maximum2169
Zeros960
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:54.105792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile22
Maximum2169
Range2169
Interquartile range (IQR)4

Descriptive statistics

Standard deviation59.103101
Coefficient of variation (CV)7.6482757
Kurtosis821.90223
Mean7.7276374
Median Absolute Deviation (MAD)1
Skewness25.960354
Sum19265
Variance3493.1766
MonotonicityNot monotonic
2024-04-06T18:01:54.361029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 960
35.3%
1 542
19.9%
2 209
 
7.7%
3 132
 
4.9%
4 103
 
3.8%
5 69
 
2.5%
6 65
 
2.4%
7 47
 
1.7%
8 32
 
1.2%
9 31
 
1.1%
Other values (79) 303
 
11.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 960
35.3%
1 542
19.9%
2 209
 
7.7%
3 132
 
4.9%
4 103
 
3.8%
5 69
 
2.5%
6 65
 
2.4%
7 47
 
1.7%
8 32
 
1.2%
9 31
 
1.1%
ValueCountFrequency (%)
2169 1
< 0.1%
1127 1
< 0.1%
1064 1
< 0.1%
738 1
< 0.1%
518 1
< 0.1%
381 1
< 0.1%
295 1
< 0.1%
224 1
< 0.1%
223 1
< 0.1%
208 1
< 0.1%

2010-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct92
Distinct (%)3.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean7.3963097
Minimum0
Maximum2081
Zeros1059
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:54.673972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile22
Maximum2081
Range2081
Interquartile range (IQR)4

Descriptive statistics

Standard deviation57.09341
Coefficient of variation (CV)7.7191752
Kurtosis817.31689
Mean7.3963097
Median Absolute Deviation (MAD)1
Skewness25.97504
Sum18439
Variance3259.6575
MonotonicityNot monotonic
2024-04-06T18:01:54.894450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1059
39.0%
1 509
18.7%
2 170
 
6.3%
3 121
 
4.5%
4 93
 
3.4%
6 70
 
2.6%
5 58
 
2.1%
7 45
 
1.7%
8 36
 
1.3%
9 34
 
1.3%
Other values (82) 298
 
11.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1059
39.0%
1 509
18.7%
2 170
 
6.3%
3 121
 
4.5%
4 93
 
3.4%
5 58
 
2.1%
6 70
 
2.6%
7 45
 
1.7%
8 36
 
1.3%
9 34
 
1.3%
ValueCountFrequency (%)
2081 1
< 0.1%
1208 1
< 0.1%
967 1
< 0.1%
649 1
< 0.1%
479 1
< 0.1%
384 1
< 0.1%
280 1
< 0.1%
223 1
< 0.1%
193 1
< 0.1%
188 1
< 0.1%

2010-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)4.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.2454874
Minimum0
Maximum2639
Zeros931
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:55.099692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile26
Maximum2639
Range2639
Interquartile range (IQR)5

Descriptive statistics

Standard deviation72.11694
Coefficient of variation (CV)7.8002313
Kurtosis834.92116
Mean9.2454874
Median Absolute Deviation (MAD)1
Skewness26.338908
Sum23049
Variance5200.853
MonotonicityNot monotonic
2024-04-06T18:01:55.346167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
34.3%
1 516
19.0%
2 197
 
7.2%
3 116
 
4.3%
4 103
 
3.8%
5 75
 
2.8%
6 59
 
2.2%
7 48
 
1.8%
9 40
 
1.5%
8 38
 
1.4%
Other values (90) 370
 
13.6%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 931
34.3%
1 516
19.0%
2 197
 
7.2%
3 116
 
4.3%
4 103
 
3.8%
5 75
 
2.8%
6 59
 
2.2%
7 48
 
1.8%
8 38
 
1.4%
9 40
 
1.5%
ValueCountFrequency (%)
2639 1
< 0.1%
1572 1
< 0.1%
1204 1
< 0.1%
750 1
< 0.1%
623 1
< 0.1%
429 1
< 0.1%
343 1
< 0.1%
330 1
< 0.1%
272 1
< 0.1%
250 1
< 0.1%

2010-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean11.519454
Minimum0
Maximum3145
Zeros888
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:55.740987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile32
Maximum3145
Range3145
Interquartile range (IQR)6

Descriptive statistics

Standard deviation88.262132
Coefficient of variation (CV)7.6620063
Kurtosis753.49413
Mean11.519454
Median Absolute Deviation (MAD)1
Skewness24.870842
Sum28718
Variance7790.204
MonotonicityNot monotonic
2024-04-06T18:01:56.019155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 888
32.7%
1 498
18.3%
2 197
 
7.2%
3 113
 
4.2%
4 93
 
3.4%
5 78
 
2.9%
6 61
 
2.2%
7 46
 
1.7%
12 42
 
1.5%
8 38
 
1.4%
Other values (99) 439
16.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 888
32.7%
1 498
18.3%
2 197
 
7.2%
3 113
 
4.2%
4 93
 
3.4%
5 78
 
2.9%
6 61
 
2.2%
7 46
 
1.7%
8 38
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
3145 1
< 0.1%
1772 1
< 0.1%
1488 1
< 0.1%
1321 1
< 0.1%
672 1
< 0.1%
536 1
< 0.1%
503 1
< 0.1%
409 1
< 0.1%
401 1
< 0.1%
322 1
< 0.1%

2010-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct132
Distinct (%)5.3%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean15.172483
Minimum0
Maximum3840
Zeros839
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:56.331692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile43.4
Maximum3840
Range3840
Interquartile range (IQR)7

Descriptive statistics

Standard deviation112.54271
Coefficient of variation (CV)7.4175542
Kurtosis664.94374
Mean15.172483
Median Absolute Deviation (MAD)1
Skewness23.411234
Sum37825
Variance12665.863
MonotonicityNot monotonic
2024-04-06T18:01:56.604293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 839
30.9%
1 475
17.5%
2 196
 
7.2%
3 101
 
3.7%
4 96
 
3.5%
6 66
 
2.4%
7 56
 
2.1%
8 53
 
1.9%
5 53
 
1.9%
10 38
 
1.4%
Other values (122) 520
19.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 839
30.9%
1 475
17.5%
2 196
 
7.2%
3 101
 
3.7%
4 96
 
3.5%
5 53
 
1.9%
6 66
 
2.4%
7 56
 
2.1%
8 53
 
1.9%
9 30
 
1.1%
ValueCountFrequency (%)
3840 1
< 0.1%
2154 1
< 0.1%
2046 1
< 0.1%
1917 1
< 0.1%
872 1
< 0.1%
791 1
< 0.1%
680 1
< 0.1%
492 1
< 0.1%
462 1
< 0.1%
444 1
< 0.1%

2011-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct102
Distinct (%)4.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.9807461
Minimum0
Maximum2885
Zeros998
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:56.857948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile29
Maximum2885
Range2885
Interquartile range (IQR)5

Descriptive statistics

Standard deviation78.357986
Coefficient of variation (CV)7.8509147
Kurtosis833.05649
Mean9.9807461
Median Absolute Deviation (MAD)1
Skewness26.169597
Sum24882
Variance6139.9739
MonotonicityNot monotonic
2024-04-06T18:01:57.562353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 998
36.7%
1 481
17.7%
2 167
 
6.1%
3 115
 
4.2%
4 83
 
3.1%
5 74
 
2.7%
7 59
 
2.2%
6 53
 
1.9%
8 37
 
1.4%
12 35
 
1.3%
Other values (92) 391
 
14.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 998
36.7%
1 481
17.7%
2 167
 
6.1%
3 115
 
4.2%
4 83
 
3.1%
5 74
 
2.7%
6 53
 
1.9%
7 59
 
2.2%
8 37
 
1.4%
9 26
 
1.0%
ValueCountFrequency (%)
2885 1
< 0.1%
1486 1
< 0.1%
1453 1
< 0.1%
894 1
< 0.1%
692 1
< 0.1%
479 1
< 0.1%
440 1
< 0.1%
342 1
< 0.1%
298 2
0.1%
278 1
< 0.1%

2011-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct102
Distinct (%)4.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.9502607
Minimum0
Maximum3033
Zeros966
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:57.788856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile28
Maximum3033
Range3033
Interquartile range (IQR)5

Descriptive statistics

Standard deviation79.672186
Coefficient of variation (CV)8.0070451
Kurtosis929.61859
Mean9.9502607
Median Absolute Deviation (MAD)1
Skewness27.718294
Sum24806
Variance6347.6572
MonotonicityNot monotonic
2024-04-06T18:01:58.036330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 966
35.5%
1 476
17.5%
2 185
 
6.8%
3 130
 
4.8%
5 79
 
2.9%
4 78
 
2.9%
6 54
 
2.0%
7 46
 
1.7%
9 46
 
1.7%
10 32
 
1.2%
Other values (92) 401
14.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 966
35.5%
1 476
17.5%
2 185
 
6.8%
3 130
 
4.8%
4 78
 
2.9%
5 79
 
2.9%
6 54
 
2.0%
7 46
 
1.7%
8 30
 
1.1%
9 46
 
1.7%
ValueCountFrequency (%)
3033 1
< 0.1%
1597 1
< 0.1%
1318 1
< 0.1%
782 1
< 0.1%
657 1
< 0.1%
449 1
< 0.1%
398 1
< 0.1%
330 1
< 0.1%
313 1
< 0.1%
273 1
< 0.1%

2011-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct117
Distinct (%)4.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean12.952667
Minimum0
Maximum3652
Zeros805
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:58.292507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile37
Maximum3652
Range3652
Interquartile range (IQR)6

Descriptive statistics

Standard deviation99.723801
Coefficient of variation (CV)7.6990937
Kurtosis826.22154
Mean12.952667
Median Absolute Deviation (MAD)1
Skewness26.11787
Sum32291
Variance9944.8364
MonotonicityNot monotonic
2024-04-06T18:01:58.579239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 805
29.6%
1 507
18.7%
2 220
 
8.1%
3 111
 
4.1%
4 98
 
3.6%
5 87
 
3.2%
7 47
 
1.7%
6 43
 
1.6%
8 40
 
1.5%
9 35
 
1.3%
Other values (107) 500
18.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 805
29.6%
1 507
18.7%
2 220
 
8.1%
3 111
 
4.1%
4 98
 
3.6%
5 87
 
3.2%
6 43
 
1.6%
7 47
 
1.7%
8 40
 
1.5%
9 35
 
1.3%
ValueCountFrequency (%)
3652 1
< 0.1%
2072 1
< 0.1%
1693 1
< 0.1%
1170 1
< 0.1%
820 1
< 0.1%
664 1
< 0.1%
536 1
< 0.1%
423 1
< 0.1%
382 1
< 0.1%
330 1
< 0.1%

2011-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct119
Distinct (%)4.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean12.231849
Minimum0
Maximum3340
Zeros816
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:58.810848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35.4
Maximum3340
Range3340
Interquartile range (IQR)6

Descriptive statistics

Standard deviation92.386797
Coefficient of variation (CV)7.5529706
Kurtosis795.21681
Mean12.231849
Median Absolute Deviation (MAD)1
Skewness25.631201
Sum30494
Variance8535.3202
MonotonicityNot monotonic
2024-04-06T18:01:59.077624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 816
30.0%
1 483
17.8%
2 222
 
8.2%
3 130
 
4.8%
4 85
 
3.1%
5 74
 
2.7%
6 65
 
2.4%
8 50
 
1.8%
7 48
 
1.8%
10 43
 
1.6%
Other values (109) 477
17.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 816
30.0%
1 483
17.8%
2 222
 
8.2%
3 130
 
4.8%
4 85
 
3.1%
5 74
 
2.7%
6 65
 
2.4%
7 48
 
1.8%
8 50
 
1.8%
9 35
 
1.3%
ValueCountFrequency (%)
3340 1
< 0.1%
1942 1
< 0.1%
1481 1
< 0.1%
1331 1
< 0.1%
637 1
< 0.1%
595 1
< 0.1%
466 1
< 0.1%
344 1
< 0.1%
339 1
< 0.1%
331 1
< 0.1%

2011-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean11.250301
Minimum0
Maximum2922
Zeros808
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:59.330643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile33.4
Maximum2922
Range2922
Interquartile range (IQR)6

Descriptive statistics

Standard deviation82.916374
Coefficient of variation (CV)7.3701473
Kurtosis741.06022
Mean11.250301
Median Absolute Deviation (MAD)1
Skewness24.790548
Sum28047
Variance6875.1251
MonotonicityNot monotonic
2024-04-06T18:01:59.689883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 808
29.7%
1 512
18.8%
2 210
 
7.7%
3 142
 
5.2%
4 97
 
3.6%
5 69
 
2.5%
6 67
 
2.5%
7 56
 
2.1%
8 50
 
1.8%
12 38
 
1.4%
Other values (99) 444
16.3%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 808
29.7%
1 512
18.8%
2 210
 
7.7%
3 142
 
5.2%
4 97
 
3.6%
5 69
 
2.5%
6 67
 
2.5%
7 56
 
2.1%
8 50
 
1.8%
9 35
 
1.3%
ValueCountFrequency (%)
2922 1
< 0.1%
1772 1
< 0.1%
1326 1
< 0.1%
1300 1
< 0.1%
611 1
< 0.1%
557 1
< 0.1%
390 1
< 0.1%
344 1
< 0.1%
303 1
< 0.1%
298 1
< 0.1%

2011-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct104
Distinct (%)4.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean10.829122
Minimum0
Maximum2748
Zeros814
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:01:59.910766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile32
Maximum2748
Range2748
Interquartile range (IQR)6

Descriptive statistics

Standard deviation79.554486
Coefficient of variation (CV)7.3463471
Kurtosis708.11935
Mean10.829122
Median Absolute Deviation (MAD)1
Skewness24.368335
Sum26997
Variance6328.9162
MonotonicityNot monotonic
2024-04-06T18:02:00.181385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 814
29.9%
1 512
18.8%
2 224
 
8.2%
3 142
 
5.2%
5 88
 
3.2%
4 80
 
2.9%
6 57
 
2.1%
7 51
 
1.9%
8 46
 
1.7%
9 43
 
1.6%
Other values (94) 436
16.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 814
29.9%
1 512
18.8%
2 224
 
8.2%
3 142
 
5.2%
4 80
 
2.9%
5 88
 
3.2%
6 57
 
2.1%
7 51
 
1.9%
8 46
 
1.7%
9 43
 
1.6%
ValueCountFrequency (%)
2748 1
< 0.1%
1710 1
< 0.1%
1341 1
< 0.1%
1330 1
< 0.1%
532 1
< 0.1%
483 1
< 0.1%
388 1
< 0.1%
330 1
< 0.1%
282 1
< 0.1%
269 1
< 0.1%

2011-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean10.282391
Minimum0
Maximum2754
Zeros871
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:00.397079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile30.4
Maximum2754
Range2754
Interquartile range (IQR)5

Descriptive statistics

Standard deviation77.17895
Coefficient of variation (CV)7.5059344
Kurtosis767.13324
Mean10.282391
Median Absolute Deviation (MAD)1
Skewness25.233099
Sum25634
Variance5956.5904
MonotonicityNot monotonic
2024-04-06T18:02:00.683735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 871
32.0%
1 506
18.6%
2 207
 
7.6%
3 145
 
5.3%
4 91
 
3.3%
5 79
 
2.9%
6 62
 
2.3%
7 44
 
1.6%
9 41
 
1.5%
8 38
 
1.4%
Other values (99) 409
15.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 871
32.0%
1 506
18.6%
2 207
 
7.6%
3 145
 
5.3%
4 91
 
3.3%
5 79
 
2.9%
6 62
 
2.3%
7 44
 
1.6%
8 38
 
1.4%
9 41
 
1.5%
ValueCountFrequency (%)
2754 1
< 0.1%
1598 1
< 0.1%
1338 1
< 0.1%
1141 1
< 0.1%
509 1
< 0.1%
485 1
< 0.1%
371 1
< 0.1%
285 1
< 0.1%
272 1
< 0.1%
261 1
< 0.1%

2011-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct106
Distinct (%)4.3%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean10.390293
Minimum0
Maximum2694
Zeros840
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:00.937104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile30
Maximum2694
Range2694
Interquartile range (IQR)5

Descriptive statistics

Standard deviation77.621094
Coefficient of variation (CV)7.4705396
Kurtosis721.37203
Mean10.390293
Median Absolute Deviation (MAD)1
Skewness24.588718
Sum25903
Variance6025.0342
MonotonicityNot monotonic
2024-04-06T18:02:01.160346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 840
30.9%
1 521
19.2%
2 238
 
8.8%
3 128
 
4.7%
4 91
 
3.3%
5 72
 
2.6%
6 58
 
2.1%
8 49
 
1.8%
7 49
 
1.8%
9 36
 
1.3%
Other values (96) 411
15.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 840
30.9%
1 521
19.2%
2 238
 
8.8%
3 128
 
4.7%
4 91
 
3.3%
5 72
 
2.6%
6 58
 
2.1%
7 49
 
1.8%
8 49
 
1.8%
9 36
 
1.3%
ValueCountFrequency (%)
2694 1
< 0.1%
1693 1
< 0.1%
1423 1
< 0.1%
1080 1
< 0.1%
533 1
< 0.1%
520 1
< 0.1%
385 1
< 0.1%
322 1
< 0.1%
272 1
< 0.1%
271 1
< 0.1%

2011-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct102
Distinct (%)4.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.7833935
Minimum0
Maximum2599
Zeros872
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:01.456627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile29
Maximum2599
Range2599
Interquartile range (IQR)5

Descriptive statistics

Standard deviation73.615381
Coefficient of variation (CV)7.5245242
Kurtosis748.81009
Mean9.7833935
Median Absolute Deviation (MAD)1
Skewness24.929038
Sum24390
Variance5419.2243
MonotonicityNot monotonic
2024-04-06T18:02:01.712438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 872
32.1%
1 498
18.3%
2 240
 
8.8%
3 134
 
4.9%
4 87
 
3.2%
6 70
 
2.6%
5 67
 
2.5%
7 53
 
1.9%
8 47
 
1.7%
9 31
 
1.1%
Other values (92) 394
14.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 872
32.1%
1 498
18.3%
2 240
 
8.8%
3 134
 
4.9%
4 87
 
3.2%
5 67
 
2.5%
6 70
 
2.6%
7 53
 
1.9%
8 47
 
1.7%
9 31
 
1.1%
ValueCountFrequency (%)
2599 1
< 0.1%
1620 1
< 0.1%
1169 1
< 0.1%
1051 1
< 0.1%
598 1
< 0.1%
501 1
< 0.1%
428 1
< 0.1%
318 1
< 0.1%
295 1
< 0.1%
266 1
< 0.1%

2011-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct105
Distinct (%)4.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean10.362615
Minimum0
Maximum2831
Zeros829
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:01.948123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32
Maximum2831
Range2831
Interquartile range (IQR)5

Descriptive statistics

Standard deviation79.191425
Coefficient of variation (CV)7.6420307
Kurtosis785.87854
Mean10.362615
Median Absolute Deviation (MAD)1
Skewness25.605172
Sum25834
Variance6271.2818
MonotonicityNot monotonic
2024-04-06T18:02:02.157711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 829
30.5%
1 538
19.8%
2 229
 
8.4%
3 125
 
4.6%
4 83
 
3.1%
5 74
 
2.7%
6 68
 
2.5%
8 61
 
2.2%
7 40
 
1.5%
10 39
 
1.4%
Other values (95) 407
15.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 829
30.5%
1 538
19.8%
2 229
 
8.4%
3 125
 
4.6%
4 83
 
3.1%
5 74
 
2.7%
6 68
 
2.5%
7 40
 
1.5%
8 61
 
2.2%
9 35
 
1.3%
ValueCountFrequency (%)
2831 1
< 0.1%
1801 1
< 0.1%
1184 1
< 0.1%
1095 1
< 0.1%
637 1
< 0.1%
471 1
< 0.1%
450 1
< 0.1%
328 1
< 0.1%
263 1
< 0.1%
233 1
< 0.1%

2011-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct108
Distinct (%)4.3%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean10.890895
Minimum0
Maximum2971
Zeros813
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:02.407757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile33
Maximum2971
Range2971
Interquartile range (IQR)6

Descriptive statistics

Standard deviation82.389325
Coefficient of variation (CV)7.5649732
Kurtosis790.13254
Mean10.890895
Median Absolute Deviation (MAD)1
Skewness25.590308
Sum27151
Variance6788.0009
MonotonicityNot monotonic
2024-04-06T18:02:02.664494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 813
29.9%
1 514
18.9%
2 238
 
8.8%
3 134
 
4.9%
5 86
 
3.2%
4 80
 
2.9%
6 64
 
2.4%
9 53
 
1.9%
8 50
 
1.8%
7 38
 
1.4%
Other values (98) 423
15.6%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 813
29.9%
1 514
18.9%
2 238
 
8.8%
3 134
 
4.9%
4 80
 
2.9%
5 86
 
3.2%
6 64
 
2.4%
7 38
 
1.4%
8 50
 
1.8%
9 53
 
1.9%
ValueCountFrequency (%)
2971 1
< 0.1%
1728 1
< 0.1%
1326 1
< 0.1%
1218 1
< 0.1%
622 1
< 0.1%
497 1
< 0.1%
425 1
< 0.1%
309 1
< 0.1%
303 1
< 0.1%
279 1
< 0.1%

2011-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct128
Distinct (%)5.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean15.351384
Minimum0
Maximum4391
Zeros715
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:02.862741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile46
Maximum4391
Range4391
Interquartile range (IQR)8

Descriptive statistics

Standard deviation117.30516
Coefficient of variation (CV)7.6413414
Kurtosis869.37573
Mean15.351384
Median Absolute Deviation (MAD)2
Skewness26.672586
Sum38271
Variance13760.502
MonotonicityNot monotonic
2024-04-06T18:02:03.105443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 715
26.3%
1 495
18.2%
2 222
 
8.2%
3 139
 
5.1%
4 109
 
4.0%
5 68
 
2.5%
6 65
 
2.4%
7 49
 
1.8%
8 48
 
1.8%
10 45
 
1.7%
Other values (118) 538
19.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 715
26.3%
1 495
18.2%
2 222
 
8.2%
3 139
 
5.1%
4 109
 
4.0%
5 68
 
2.5%
6 65
 
2.4%
7 49
 
1.8%
8 48
 
1.8%
9 36
 
1.3%
ValueCountFrequency (%)
4391 1
< 0.1%
2213 1
< 0.1%
1801 1
< 0.1%
1767 1
< 0.1%
928 1
< 0.1%
733 1
< 0.1%
544 1
< 0.1%
369 1
< 0.1%
348 1
< 0.1%
347 1
< 0.1%

2012-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct82
Distinct (%)3.3%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean5.6173285
Minimum0
Maximum1518
Zeros1153
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:03.315129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile16.4
Maximum1518
Range1518
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.597329
Coefficient of variation (CV)7.5832007
Kurtosis758.38911
Mean5.6173285
Median Absolute Deviation (MAD)1
Skewness24.913415
Sum14004
Variance1814.5325
MonotonicityNot monotonic
2024-04-06T18:02:03.971642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1153
42.4%
1 531
19.5%
2 191
 
7.0%
3 138
 
5.1%
4 79
 
2.9%
5 64
 
2.4%
6 44
 
1.6%
7 39
 
1.4%
10 25
 
0.9%
9 25
 
0.9%
Other values (72) 204
 
7.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1153
42.4%
1 531
19.5%
2 191
 
7.0%
3 138
 
5.1%
4 79
 
2.9%
5 64
 
2.4%
6 44
 
1.6%
7 39
 
1.4%
8 24
 
0.9%
9 25
 
0.9%
ValueCountFrequency (%)
1518 1
< 0.1%
904 1
< 0.1%
672 1
< 0.1%
600 1
< 0.1%
345 1
< 0.1%
322 1
< 0.1%
155 1
< 0.1%
154 1
< 0.1%
137 1
< 0.1%
131 1
< 0.1%

2012-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)4.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean8.0417168
Minimum0
Maximum2225
Zeros913
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:04.181983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile22
Maximum2225
Range2225
Interquartile range (IQR)4

Descriptive statistics

Standard deviation61.491819
Coefficient of variation (CV)7.6466034
Kurtosis791.76199
Mean8.0417168
Median Absolute Deviation (MAD)1
Skewness25.510904
Sum20048
Variance3781.2438
MonotonicityNot monotonic
2024-04-06T18:02:04.403575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 913
33.6%
1 553
20.3%
2 226
 
8.3%
3 121
 
4.5%
4 101
 
3.7%
5 66
 
2.4%
6 63
 
2.3%
7 48
 
1.8%
8 44
 
1.6%
11 36
 
1.3%
Other values (89) 322
 
11.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 913
33.6%
1 553
20.3%
2 226
 
8.3%
3 121
 
4.5%
4 101
 
3.7%
5 66
 
2.4%
6 63
 
2.3%
7 48
 
1.8%
8 44
 
1.6%
9 32
 
1.2%
ValueCountFrequency (%)
2225 1
< 0.1%
1260 1
< 0.1%
991 1
< 0.1%
896 1
< 0.1%
446 1
< 0.1%
353 1
< 0.1%
316 1
< 0.1%
265 1
< 0.1%
256 1
< 0.1%
253 1
< 0.1%

2012-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)4.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.2190132
Minimum0
Maximum2535
Zeros845
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:04.715967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum2535
Range2535
Interquartile range (IQR)5

Descriptive statistics

Standard deviation70.099649
Coefficient of variation (CV)7.6038126
Kurtosis801.10744
Mean9.2190132
Median Absolute Deviation (MAD)1
Skewness25.746927
Sum22983
Variance4913.9608
MonotonicityNot monotonic
2024-04-06T18:02:04.969751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 845
31.1%
1 547
20.1%
2 239
 
8.8%
3 128
 
4.7%
4 95
 
3.5%
5 72
 
2.6%
6 60
 
2.2%
7 60
 
2.2%
9 37
 
1.4%
8 35
 
1.3%
Other values (90) 375
13.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 845
31.1%
1 547
20.1%
2 239
 
8.8%
3 128
 
4.7%
4 95
 
3.5%
5 72
 
2.6%
6 60
 
2.2%
7 60
 
2.2%
8 35
 
1.3%
9 37
 
1.4%
ValueCountFrequency (%)
2535 1
< 0.1%
1531 1
< 0.1%
1044 1
< 0.1%
980 1
< 0.1%
582 1
< 0.1%
391 1
< 0.1%
350 1
< 0.1%
341 1
< 0.1%
282 1
< 0.1%
230 1
< 0.1%

2012-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)4.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.2190132
Minimum0
Maximum2442
Zeros846
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:05.276019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum2442
Range2442
Interquartile range (IQR)5

Descriptive statistics

Standard deviation69.193799
Coefficient of variation (CV)7.5055537
Kurtosis746.90585
Mean9.2190132
Median Absolute Deviation (MAD)1
Skewness24.924182
Sum22983
Variance4787.7819
MonotonicityNot monotonic
2024-04-06T18:02:05.523375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 846
31.1%
1 546
20.1%
2 224
 
8.2%
3 141
 
5.2%
5 76
 
2.8%
4 75
 
2.8%
6 68
 
2.5%
7 55
 
2.0%
8 49
 
1.8%
9 37
 
1.4%
Other values (90) 376
13.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 846
31.1%
1 546
20.1%
2 224
 
8.2%
3 141
 
5.2%
4 75
 
2.8%
5 76
 
2.8%
6 68
 
2.5%
7 55
 
2.0%
8 49
 
1.8%
9 37
 
1.4%
ValueCountFrequency (%)
2442 1
< 0.1%
1484 1
< 0.1%
1160 1
< 0.1%
1033 1
< 0.1%
497 1
< 0.1%
399 1
< 0.1%
346 1
< 0.1%
310 1
< 0.1%
300 1
< 0.1%
244 1
< 0.1%

2012-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)4.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean9.2976334
Minimum0
Maximum2465
Zeros817
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:05.755877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum2465
Range2465
Interquartile range (IQR)5

Descriptive statistics

Standard deviation70.190183
Coefficient of variation (CV)7.5492526
Kurtosis749.95913
Mean9.2976334
Median Absolute Deviation (MAD)1
Skewness25.041575
Sum23179
Variance4926.6618
MonotonicityNot monotonic
2024-04-06T18:02:05.970297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 817
30.1%
1 554
20.4%
2 249
 
9.2%
3 139
 
5.1%
4 95
 
3.5%
7 64
 
2.4%
5 62
 
2.3%
6 60
 
2.2%
8 54
 
2.0%
9 43
 
1.6%
Other values (89) 356
13.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 817
30.1%
1 554
20.4%
2 249
 
9.2%
3 139
 
5.1%
4 95
 
3.5%
5 62
 
2.3%
6 60
 
2.2%
7 64
 
2.4%
8 54
 
2.0%
9 43
 
1.6%
ValueCountFrequency (%)
2465 1
< 0.1%
1601 1
< 0.1%
1121 1
< 0.1%
1011 1
< 0.1%
485 1
< 0.1%
411 1
< 0.1%
310 1
< 0.1%
297 1
< 0.1%
275 1
< 0.1%
270 1
< 0.1%

2012-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct89
Distinct (%)3.6%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean8.7144003
Minimum0
Maximum2130
Zeros863
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:06.197191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile23.4
Maximum2130
Range2130
Interquartile range (IQR)4

Descriptive statistics

Standard deviation65.522191
Coefficient of variation (CV)7.5188411
Kurtosis607.70569
Mean8.7144003
Median Absolute Deviation (MAD)1
Skewness22.614293
Sum21725
Variance4293.1576
MonotonicityNot monotonic
2024-04-06T18:02:06.412070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 863
31.8%
1 569
20.9%
2 220
 
8.1%
3 137
 
5.0%
4 99
 
3.6%
5 71
 
2.6%
6 61
 
2.2%
8 50
 
1.8%
7 47
 
1.7%
9 44
 
1.6%
Other values (79) 332
 
12.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 863
31.8%
1 569
20.9%
2 220
 
8.1%
3 137
 
5.0%
4 99
 
3.6%
5 71
 
2.6%
6 61
 
2.2%
7 47
 
1.7%
8 50
 
1.8%
9 44
 
1.6%
ValueCountFrequency (%)
2130 1
< 0.1%
1460 1
< 0.1%
1224 1
< 0.1%
981 1
< 0.1%
543 1
< 0.1%
505 1
< 0.1%
429 1
< 0.1%
423 1
< 0.1%
268 1
< 0.1%
259 1
< 0.1%

2012-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct95
Distinct (%)3.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean8.373701
Minimum0
Maximum2235
Zeros874
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:06.640717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile24.95
Maximum2235
Range2235
Interquartile range (IQR)4

Descriptive statistics

Standard deviation62.410091
Coefficient of variation (CV)7.4531071
Kurtosis767.83249
Mean8.373701
Median Absolute Deviation (MAD)1
Skewness25.184311
Sum20951
Variance3895.0194
MonotonicityNot monotonic
2024-04-06T18:02:06.864659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 874
32.2%
1 579
21.3%
2 220
 
8.1%
3 132
 
4.9%
4 87
 
3.2%
5 70
 
2.6%
6 64
 
2.4%
7 54
 
2.0%
8 48
 
1.8%
9 42
 
1.5%
Other values (85) 332
 
12.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 874
32.2%
1 579
21.3%
2 220
 
8.1%
3 132
 
4.9%
4 87
 
3.2%
5 70
 
2.6%
6 64
 
2.4%
7 54
 
2.0%
8 48
 
1.8%
9 42
 
1.5%
ValueCountFrequency (%)
2235 1
< 0.1%
1270 1
< 0.1%
1019 1
< 0.1%
991 1
< 0.1%
456 1
< 0.1%
388 1
< 0.1%
296 1
< 0.1%
287 1
< 0.1%
268 1
< 0.1%
248 1
< 0.1%

2012-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct95
Distinct (%)3.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean8.8313349
Minimum0
Maximum2114
Zeros932
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:07.074476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile22
Maximum2114
Range2114
Interquartile range (IQR)4

Descriptive statistics

Standard deviation68.800109
Coefficient of variation (CV)7.790454
Kurtosis531.26034
Mean8.8313349
Median Absolute Deviation (MAD)1
Skewness21.175399
Sum22096
Variance4733.4549
MonotonicityNot monotonic
2024-04-06T18:02:07.359283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 932
34.3%
1 585
21.5%
2 196
 
7.2%
3 134
 
4.9%
4 97
 
3.6%
5 80
 
2.9%
6 63
 
2.3%
7 52
 
1.9%
8 49
 
1.8%
9 34
 
1.3%
Other values (85) 280
 
10.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 932
34.3%
1 585
21.5%
2 196
 
7.2%
3 134
 
4.9%
4 97
 
3.6%
5 80
 
2.9%
6 63
 
2.3%
7 52
 
1.9%
8 49
 
1.8%
9 34
 
1.3%
ValueCountFrequency (%)
2114 1
< 0.1%
1620 1
< 0.1%
1114 1
< 0.1%
1059 1
< 0.1%
780 1
< 0.1%
670 1
< 0.1%
661 1
< 0.1%
421 1
< 0.1%
326 1
< 0.1%
272 1
< 0.1%

2012-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct92
Distinct (%)3.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean6.9096723
Minimum0
Maximum1883
Zeros1061
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:07.666931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21
Maximum1883
Range1883
Interquartile range (IQR)3

Descriptive statistics

Standard deviation53.042677
Coefficient of variation (CV)7.6765837
Kurtosis746.31271
Mean6.9096723
Median Absolute Deviation (MAD)1
Skewness24.839066
Sum17288
Variance2813.5256
MonotonicityNot monotonic
2024-04-06T18:02:07.937735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1061
39.0%
1 537
19.8%
2 195
 
7.2%
3 127
 
4.7%
4 96
 
3.5%
5 78
 
2.9%
6 61
 
2.2%
7 33
 
1.2%
9 33
 
1.2%
8 27
 
1.0%
Other values (82) 254
 
9.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1061
39.0%
1 537
19.8%
2 195
 
7.2%
3 127
 
4.7%
4 96
 
3.5%
5 78
 
2.9%
6 61
 
2.2%
7 33
 
1.2%
8 27
 
1.0%
9 33
 
1.2%
ValueCountFrequency (%)
1883 1
< 0.1%
1011 1
< 0.1%
918 1
< 0.1%
909 1
< 0.1%
399 1
< 0.1%
277 1
< 0.1%
269 1
< 0.1%
243 1
< 0.1%
202 1
< 0.1%
185 1
< 0.1%

2012-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)4.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean9.7877698
Minimum0
Maximum2783
Zeros813
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:08.158779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile28.95
Maximum2783
Range2783
Interquartile range (IQR)5

Descriptive statistics

Standard deviation75.943992
Coefficient of variation (CV)7.7590701
Kurtosis825.70839
Mean9.7877698
Median Absolute Deviation (MAD)1
Skewness26.132216
Sum24489
Variance5767.4899
MonotonicityNot monotonic
2024-04-06T18:02:08.365498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 813
29.9%
1 582
21.4%
2 223
 
8.2%
3 146
 
5.4%
4 87
 
3.2%
5 75
 
2.8%
6 60
 
2.2%
7 55
 
2.0%
8 43
 
1.6%
10 38
 
1.4%
Other values (89) 380
14.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 813
29.9%
1 582
21.4%
2 223
 
8.2%
3 146
 
5.4%
4 87
 
3.2%
5 75
 
2.8%
6 60
 
2.2%
7 55
 
2.0%
8 43
 
1.6%
9 37
 
1.4%
ValueCountFrequency (%)
2783 1
< 0.1%
1568 1
< 0.1%
1269 1
< 0.1%
1011 1
< 0.1%
628 1
< 0.1%
388 1
< 0.1%
375 1
< 0.1%
310 1
< 0.1%
268 1
< 0.1%
261 1
< 0.1%

2012-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct106
Distinct (%)4.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean10.321343
Minimum0
Maximum3051
Zeros800
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:08.605594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile31
Maximum3051
Range3051
Interquartile range (IQR)5

Descriptive statistics

Standard deviation80.597786
Coefficient of variation (CV)7.8088468
Kurtosis901.74905
Mean10.321343
Median Absolute Deviation (MAD)1
Skewness27.164815
Sum25824
Variance6496.0031
MonotonicityNot monotonic
2024-04-06T18:02:08.857898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 800
29.4%
1 580
21.3%
2 230
 
8.5%
3 128
 
4.7%
4 104
 
3.8%
5 73
 
2.7%
6 56
 
2.1%
7 49
 
1.8%
9 44
 
1.6%
8 42
 
1.5%
Other values (96) 396
14.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 800
29.4%
1 580
21.3%
2 230
 
8.5%
3 128
 
4.7%
4 104
 
3.8%
5 73
 
2.7%
6 56
 
2.1%
7 49
 
1.8%
8 42
 
1.5%
9 44
 
1.6%
ValueCountFrequency (%)
3051 1
< 0.1%
1585 1
< 0.1%
1216 1
< 0.1%
1062 1
< 0.1%
670 1
< 0.1%
461 1
< 0.1%
359 1
< 0.1%
324 1
< 0.1%
287 1
< 0.1%
286 1
< 0.1%

2012-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct126
Distinct (%)5.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean14.46243
Minimum0
Maximum4227
Zeros711
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:09.107651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile42.9
Maximum4227
Range4227
Interquartile range (IQR)7

Descriptive statistics

Standard deviation113.4234
Coefficient of variation (CV)7.8426239
Kurtosis872.78344
Mean14.46243
Median Absolute Deviation (MAD)2
Skewness26.83288
Sum36185
Variance12864.868
MonotonicityNot monotonic
2024-04-06T18:02:09.314813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 711
26.2%
1 531
19.5%
2 220
 
8.1%
3 145
 
5.3%
4 97
 
3.6%
5 76
 
2.8%
7 61
 
2.2%
6 60
 
2.2%
8 51
 
1.9%
10 40
 
1.5%
Other values (116) 510
18.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 711
26.2%
1 531
19.5%
2 220
 
8.1%
3 145
 
5.3%
4 97
 
3.6%
5 76
 
2.8%
6 60
 
2.2%
7 61
 
2.2%
8 51
 
1.9%
9 39
 
1.4%
ValueCountFrequency (%)
4227 1
< 0.1%
2442 1
< 0.1%
1584 1
< 0.1%
1493 1
< 0.1%
980 1
< 0.1%
575 1
< 0.1%
481 1
< 0.1%
447 1
< 0.1%
393 1
< 0.1%
371 1
< 0.1%

2013-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct81
Distinct (%)3.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5.8173461
Minimum0
Maximum1808
Zeros1152
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:09.527396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile17.95
Maximum1808
Range1808
Interquartile range (IQR)2

Descriptive statistics

Standard deviation47.141944
Coefficient of variation (CV)8.1036856
Kurtosis920.48793
Mean5.8173461
Median Absolute Deviation (MAD)1
Skewness27.1442
Sum14555
Variance2222.3629
MonotonicityNot monotonic
2024-04-06T18:02:09.785464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1152
42.4%
1 563
20.7%
2 193
 
7.1%
3 134
 
4.9%
4 77
 
2.8%
5 57
 
2.1%
6 43
 
1.6%
8 31
 
1.1%
7 31
 
1.1%
9 27
 
1.0%
Other values (71) 194
 
7.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1152
42.4%
1 563
20.7%
2 193
 
7.1%
3 134
 
4.9%
4 77
 
2.8%
5 57
 
2.1%
6 43
 
1.6%
7 31
 
1.1%
8 31
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
1808 1
< 0.1%
774 1
< 0.1%
744 1
< 0.1%
552 1
< 0.1%
530 1
< 0.1%
350 1
< 0.1%
232 1
< 0.1%
176 2
0.1%
170 1
< 0.1%
154 1
< 0.1%

2013-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct88
Distinct (%)3.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.0183853
Minimum0
Maximum2129
Zeros1022
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:10.043887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20.95
Maximum2129
Range2129
Interquartile range (IQR)3

Descriptive statistics

Standard deviation55.815044
Coefficient of variation (CV)7.9526902
Kurtosis923.38265
Mean7.0183853
Median Absolute Deviation (MAD)1
Skewness27.479137
Sum17560
Variance3115.3191
MonotonicityNot monotonic
2024-04-06T18:02:10.260382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1022
37.6%
1 560
20.6%
2 207
 
7.6%
3 105
 
3.9%
4 94
 
3.5%
5 81
 
3.0%
6 48
 
1.8%
7 44
 
1.6%
8 38
 
1.4%
10 31
 
1.1%
Other values (78) 272
 
10.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1022
37.6%
1 560
20.6%
2 207
 
7.6%
3 105
 
3.9%
4 94
 
3.5%
5 81
 
3.0%
6 48
 
1.8%
7 44
 
1.6%
8 38
 
1.4%
9 30
 
1.1%
ValueCountFrequency (%)
2129 1
< 0.1%
1100 1
< 0.1%
775 1
< 0.1%
745 1
< 0.1%
517 1
< 0.1%
275 1
< 0.1%
260 1
< 0.1%
213 1
< 0.1%
188 1
< 0.1%
182 1
< 0.1%

2013-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct94
Distinct (%)3.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean8.981215
Minimum0
Maximum2646
Zeros848
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:10.434971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25.95
Maximum2646
Range2646
Interquartile range (IQR)5

Descriptive statistics

Standard deviation70.335428
Coefficient of variation (CV)7.8313934
Kurtosis907.20615
Mean8.981215
Median Absolute Deviation (MAD)1
Skewness27.454961
Sum22471
Variance4947.0724
MonotonicityNot monotonic
2024-04-06T18:02:10.974959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 848
31.2%
1 555
20.4%
2 241
 
8.9%
3 127
 
4.7%
4 93
 
3.4%
5 69
 
2.5%
6 64
 
2.4%
7 50
 
1.8%
9 48
 
1.8%
8 45
 
1.7%
Other values (84) 362
13.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 848
31.2%
1 555
20.4%
2 241
 
8.9%
3 127
 
4.7%
4 93
 
3.4%
5 69
 
2.5%
6 64
 
2.4%
7 50
 
1.8%
8 45
 
1.7%
9 48
 
1.8%
ValueCountFrequency (%)
2646 1
< 0.1%
1558 1
< 0.1%
951 1
< 0.1%
870 1
< 0.1%
541 1
< 0.1%
347 1
< 0.1%
328 1
< 0.1%
266 1
< 0.1%
264 1
< 0.1%
253 1
< 0.1%

2013-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct111
Distinct (%)4.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean11.103517
Minimum0
Maximum3383
Zeros770
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:11.178592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile30
Maximum3383
Range3383
Interquartile range (IQR)6

Descriptive statistics

Standard deviation88.336327
Coefficient of variation (CV)7.9557068
Kurtosis944.81319
Mean11.103517
Median Absolute Deviation (MAD)1
Skewness27.903446
Sum27781
Variance7803.3068
MonotonicityNot monotonic
2024-04-06T18:02:11.401308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 770
28.3%
1 567
20.9%
2 240
 
8.8%
3 132
 
4.9%
4 84
 
3.1%
5 72
 
2.6%
6 65
 
2.4%
7 54
 
2.0%
8 44
 
1.6%
10 39
 
1.4%
Other values (101) 435
16.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 770
28.3%
1 567
20.9%
2 240
 
8.8%
3 132
 
4.9%
4 84
 
3.1%
5 72
 
2.6%
6 65
 
2.4%
7 54
 
2.0%
8 44
 
1.6%
9 38
 
1.4%
ValueCountFrequency (%)
3383 1
< 0.1%
1834 1
< 0.1%
1167 1
< 0.1%
1117 1
< 0.1%
741 1
< 0.1%
428 1
< 0.1%
417 1
< 0.1%
348 1
< 0.1%
323 1
< 0.1%
310 1
< 0.1%

2013-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct114
Distinct (%)4.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean12.544764
Minimum0
Maximum3971
Zeros715
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:11.653418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile34
Maximum3971
Range3971
Interquartile range (IQR)6

Descriptive statistics

Standard deviation101.51157
Coefficient of variation (CV)8.0919474
Kurtosis1002.9036
Mean12.544764
Median Absolute Deviation (MAD)1
Skewness28.639252
Sum31387
Variance10304.599
MonotonicityNot monotonic
2024-04-06T18:02:11.943857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 715
26.3%
1 589
21.7%
2 232
 
8.5%
3 154
 
5.7%
4 82
 
3.0%
6 70
 
2.6%
5 68
 
2.5%
8 53
 
1.9%
7 42
 
1.5%
10 34
 
1.3%
Other values (104) 463
17.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 715
26.3%
1 589
21.7%
2 232
 
8.5%
3 154
 
5.7%
4 82
 
3.0%
5 68
 
2.5%
6 70
 
2.6%
7 42
 
1.5%
8 53
 
1.9%
9 33
 
1.2%
ValueCountFrequency (%)
3971 1
< 0.1%
1998 1
< 0.1%
1290 1
< 0.1%
1219 1
< 0.1%
809 1
< 0.1%
508 1
< 0.1%
475 1
< 0.1%
428 1
< 0.1%
374 1
< 0.1%
366 1
< 0.1%

2013-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct140
Distinct (%)5.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean18.166267
Minimum0
Maximum5107
Zeros647
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:12.203467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile49.95
Maximum5107
Range5107
Interquartile range (IQR)9

Descriptive statistics

Standard deviation140.84438
Coefficient of variation (CV)7.7530723
Kurtosis800.19263
Mean18.166267
Median Absolute Deviation (MAD)2
Skewness25.717627
Sum45452
Variance19837.14
MonotonicityNot monotonic
2024-04-06T18:02:12.470992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 647
23.8%
1 487
17.9%
2 260
9.6%
3 126
 
4.6%
4 112
 
4.1%
5 72
 
2.6%
6 65
 
2.4%
7 55
 
2.0%
8 48
 
1.8%
10 45
 
1.7%
Other values (130) 585
21.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 647
23.8%
1 487
17.9%
2 260
9.6%
3 126
 
4.6%
4 112
 
4.1%
5 72
 
2.6%
6 65
 
2.4%
7 55
 
2.0%
8 48
 
1.8%
9 42
 
1.5%
ValueCountFrequency (%)
5107 1
< 0.1%
2750 1
< 0.1%
2676 1
< 0.1%
1814 1
< 0.1%
1063 1
< 0.1%
644 1
< 0.1%
615 1
< 0.1%
571 1
< 0.1%
540 1
< 0.1%
503 1
< 0.1%

2013-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct98
Distinct (%)3.9%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.745004
Minimum0
Maximum2571
Zeros955
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:12.686401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum2571
Range2571
Interquartile range (IQR)3

Descriptive statistics

Standard deviation63.929719
Coefficient of variation (CV)8.2543171
Kurtosis1091.1528
Mean7.745004
Median Absolute Deviation (MAD)1
Skewness29.825485
Sum19378
Variance4087.0089
MonotonicityNot monotonic
2024-04-06T18:02:12.903496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
35.1%
1 600
22.1%
2 221
 
8.1%
3 120
 
4.4%
4 102
 
3.8%
5 67
 
2.5%
6 56
 
2.1%
7 44
 
1.6%
8 40
 
1.5%
9 28
 
1.0%
Other values (88) 269
 
9.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 955
35.1%
1 600
22.1%
2 221
 
8.1%
3 120
 
4.4%
4 102
 
3.8%
5 67
 
2.5%
6 56
 
2.1%
7 44
 
1.6%
8 40
 
1.5%
9 28
 
1.0%
ValueCountFrequency (%)
2571 1
< 0.1%
1135 1
< 0.1%
839 1
< 0.1%
686 1
< 0.1%
567 1
< 0.1%
296 1
< 0.1%
269 1
< 0.1%
257 1
< 0.1%
247 1
< 0.1%
229 1
< 0.1%

2013-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct93
Distinct (%)3.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.5403677
Minimum0
Maximum2294
Zeros953
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:13.086746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile22
Maximum2294
Range2294
Interquartile range (IQR)4

Descriptive statistics

Standard deviation59.897278
Coefficient of variation (CV)7.9435487
Kurtosis944.48935
Mean7.5403677
Median Absolute Deviation (MAD)1
Skewness27.861546
Sum18866
Variance3587.6839
MonotonicityNot monotonic
2024-04-06T18:02:13.279000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 953
35.1%
1 569
20.9%
2 215
 
7.9%
3 123
 
4.5%
4 98
 
3.6%
5 79
 
2.9%
6 60
 
2.2%
7 53
 
1.9%
10 33
 
1.2%
8 31
 
1.1%
Other values (83) 288
 
10.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 953
35.1%
1 569
20.9%
2 215
 
7.9%
3 123
 
4.5%
4 98
 
3.6%
5 79
 
2.9%
6 60
 
2.2%
7 53
 
1.9%
8 31
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
2294 1
< 0.1%
1243 1
< 0.1%
779 1
< 0.1%
778 1
< 0.1%
442 1
< 0.1%
285 1
< 0.1%
254 1
< 0.1%
238 1
< 0.1%
233 1
< 0.1%
230 1
< 0.1%

2013-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct89
Distinct (%)3.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.8291517
Minimum0
Maximum2376
Zeros942
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:13.434923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile21
Maximum2376
Range2376
Interquartile range (IQR)4

Descriptive statistics

Standard deviation62.390576
Coefficient of variation (CV)7.9690084
Kurtosis930.8642
Mean7.8291517
Median Absolute Deviation (MAD)1
Skewness27.707016
Sum19659
Variance3892.5839
MonotonicityNot monotonic
2024-04-06T18:02:13.618619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
34.7%
1 571
21.0%
2 197
 
7.2%
3 118
 
4.3%
4 90
 
3.3%
5 81
 
3.0%
6 78
 
2.9%
8 45
 
1.7%
7 38
 
1.4%
14 32
 
1.2%
Other values (79) 319
 
11.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 942
34.7%
1 571
21.0%
2 197
 
7.2%
3 118
 
4.3%
4 90
 
3.3%
5 81
 
3.0%
6 78
 
2.9%
7 38
 
1.4%
8 45
 
1.7%
9 30
 
1.1%
ValueCountFrequency (%)
2376 1
< 0.1%
1338 1
< 0.1%
814 1
< 0.1%
760 1
< 0.1%
514 1
< 0.1%
376 1
< 0.1%
297 1
< 0.1%
226 1
< 0.1%
225 1
< 0.1%
221 1
< 0.1%

2013-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct113
Distinct (%)4.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean12.466427
Minimum0
Maximum3914
Zeros751
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:13.814065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35
Maximum3914
Range3914
Interquartile range (IQR)6

Descriptive statistics

Standard deviation100.94965
Coefficient of variation (CV)8.097721
Kurtosis982.51678
Mean12.466427
Median Absolute Deviation (MAD)1
Skewness28.452763
Sum31191
Variance10190.831
MonotonicityNot monotonic
2024-04-06T18:02:14.033973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 751
27.6%
1 556
20.5%
2 228
 
8.4%
3 156
 
5.7%
4 93
 
3.4%
5 65
 
2.4%
6 62
 
2.3%
7 43
 
1.6%
8 40
 
1.5%
9 38
 
1.4%
Other values (103) 470
17.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 751
27.6%
1 556
20.5%
2 228
 
8.4%
3 156
 
5.7%
4 93
 
3.4%
5 65
 
2.4%
6 62
 
2.3%
7 43
 
1.6%
8 40
 
1.5%
9 38
 
1.4%
ValueCountFrequency (%)
3914 1
< 0.1%
2087 1
< 0.1%
1277 1
< 0.1%
1161 1
< 0.1%
894 1
< 0.1%
550 1
< 0.1%
443 1
< 0.1%
408 1
< 0.1%
403 1
< 0.1%
364 1
< 0.1%

2013-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct107
Distinct (%)4.3%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean11.990408
Minimum0
Maximum3826
Zeros801
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:14.252096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35
Maximum3826
Range3826
Interquartile range (IQR)6

Descriptive statistics

Standard deviation97.933379
Coefficient of variation (CV)8.1676438
Kurtosis1000.0233
Mean11.990408
Median Absolute Deviation (MAD)1
Skewness28.643132
Sum30000
Variance9590.9467
MonotonicityNot monotonic
2024-04-06T18:02:14.437268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 801
29.5%
1 553
20.3%
2 205
 
7.5%
3 143
 
5.3%
4 90
 
3.3%
5 73
 
2.7%
7 54
 
2.0%
6 53
 
1.9%
8 41
 
1.5%
11 36
 
1.3%
Other values (97) 453
16.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 801
29.5%
1 553
20.3%
2 205
 
7.5%
3 143
 
5.3%
4 90
 
3.3%
5 73
 
2.7%
6 53
 
1.9%
7 54
 
2.0%
8 41
 
1.5%
9 35
 
1.3%
ValueCountFrequency (%)
3826 1
< 0.1%
1931 1
< 0.1%
1236 1
< 0.1%
1232 1
< 0.1%
797 1
< 0.1%
496 1
< 0.1%
447 1
< 0.1%
397 1
< 0.1%
391 1
< 0.1%
334 1
< 0.1%

2013-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct124
Distinct (%)5.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean13.892486
Minimum0
Maximum4365
Zeros746
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:14.651670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile41
Maximum4365
Range4365
Interquartile range (IQR)6

Descriptive statistics

Standard deviation112.76819
Coefficient of variation (CV)8.1172076
Kurtosis975.31445
Mean13.892486
Median Absolute Deviation (MAD)1
Skewness28.343774
Sum34759
Variance12716.665
MonotonicityNot monotonic
2024-04-06T18:02:14.878690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 746
27.4%
1 552
20.3%
2 214
 
7.9%
3 139
 
5.1%
4 84
 
3.1%
6 76
 
2.8%
5 72
 
2.6%
7 49
 
1.8%
8 44
 
1.6%
9 36
 
1.3%
Other values (114) 490
18.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 746
27.4%
1 552
20.3%
2 214
 
7.9%
3 139
 
5.1%
4 84
 
3.1%
5 72
 
2.6%
6 76
 
2.8%
7 49
 
1.8%
8 44
 
1.6%
9 36
 
1.3%
ValueCountFrequency (%)
4365 1
< 0.1%
2286 1
< 0.1%
1555 1
< 0.1%
1335 1
< 0.1%
917 1
< 0.1%
560 1
< 0.1%
521 1
< 0.1%
420 1
< 0.1%
395 1
< 0.1%
388 1
< 0.1%

2014-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean10.294964
Minimum0
Maximum3334
Zeros883
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:15.109569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile31.95
Maximum3334
Range3334
Interquartile range (IQR)5

Descriptive statistics

Standard deviation83.706233
Coefficient of variation (CV)8.1307941
Kurtosis1052.7735
Mean10.294964
Median Absolute Deviation (MAD)1
Skewness29.265835
Sum25758
Variance7006.7334
MonotonicityNot monotonic
2024-04-06T18:02:15.291957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 883
32.5%
1 560
20.6%
2 186
 
6.8%
3 139
 
5.1%
4 88
 
3.2%
5 86
 
3.2%
6 58
 
2.1%
7 50
 
1.8%
9 37
 
1.4%
8 36
 
1.3%
Other values (99) 379
13.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 883
32.5%
1 560
20.6%
2 186
 
6.8%
3 139
 
5.1%
4 88
 
3.2%
5 86
 
3.2%
6 58
 
2.1%
7 50
 
1.8%
8 36
 
1.3%
9 37
 
1.4%
ValueCountFrequency (%)
3334 1
< 0.1%
1401 1
< 0.1%
1147 1
< 0.1%
1138 1
< 0.1%
647 1
< 0.1%
404 1
< 0.1%
369 1
< 0.1%
333 1
< 0.1%
324 1
< 0.1%
316 1
< 0.1%

2014-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct115
Distinct (%)4.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean13.022782
Minimum0
Maximum3749
Zeros775
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:15.527279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile36.95
Maximum3749
Range3749
Interquartile range (IQR)6

Descriptive statistics

Standard deviation105.10816
Coefficient of variation (CV)8.071099
Kurtosis756.95903
Mean13.022782
Median Absolute Deviation (MAD)1
Skewness24.944608
Sum32583
Variance11047.726
MonotonicityNot monotonic
2024-04-06T18:02:15.776171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 775
28.5%
1 550
20.2%
2 223
 
8.2%
3 149
 
5.5%
4 88
 
3.2%
6 67
 
2.5%
5 65
 
2.4%
7 54
 
2.0%
9 52
 
1.9%
8 33
 
1.2%
Other values (105) 446
16.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 775
28.5%
1 550
20.2%
2 223
 
8.2%
3 149
 
5.5%
4 88
 
3.2%
5 65
 
2.4%
6 67
 
2.5%
7 54
 
2.0%
8 33
 
1.2%
9 52
 
1.9%
ValueCountFrequency (%)
3749 1
< 0.1%
2160 1
< 0.1%
1845 1
< 0.1%
1260 1
< 0.1%
938 1
< 0.1%
851 1
< 0.1%
756 1
< 0.1%
463 1
< 0.1%
400 1
< 0.1%
388 1
< 0.1%

2014-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct114
Distinct (%)4.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean12.73741
Minimum0
Maximum3994
Zeros703
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:16.037545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile37
Maximum3994
Range3994
Interquartile range (IQR)6

Descriptive statistics

Standard deviation102.88994
Coefficient of variation (CV)8.0777757
Kurtosis981.73038
Mean12.73741
Median Absolute Deviation (MAD)1
Skewness28.40357
Sum31869
Variance10586.34
MonotonicityNot monotonic
2024-04-06T18:02:16.319484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 703
25.9%
1 568
20.9%
2 244
 
9.0%
3 150
 
5.5%
4 92
 
3.4%
5 81
 
3.0%
6 52
 
1.9%
7 50
 
1.8%
8 47
 
1.7%
9 37
 
1.4%
Other values (104) 478
17.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 703
25.9%
1 568
20.9%
2 244
 
9.0%
3 150
 
5.5%
4 92
 
3.4%
5 81
 
3.0%
6 52
 
1.9%
7 50
 
1.8%
8 47
 
1.7%
9 37
 
1.4%
ValueCountFrequency (%)
3994 1
< 0.1%
2069 1
< 0.1%
1342 1
< 0.1%
1247 1
< 0.1%
862 1
< 0.1%
578 1
< 0.1%
493 1
< 0.1%
420 1
< 0.1%
371 1
< 0.1%
368 1
< 0.1%

2014-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct118
Distinct (%)4.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean13.380895
Minimum0
Maximum4135
Zeros714
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:16.582781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile37
Maximum4135
Range4135
Interquartile range (IQR)7

Descriptive statistics

Standard deviation107.48452
Coefficient of variation (CV)8.0326852
Kurtosis951.62539
Mean13.380895
Median Absolute Deviation (MAD)2
Skewness27.947982
Sum33479
Variance11552.922
MonotonicityNot monotonic
2024-04-06T18:02:17.268025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 714
26.3%
1 535
19.7%
2 255
 
9.4%
3 139
 
5.1%
4 84
 
3.1%
5 78
 
2.9%
6 65
 
2.4%
8 51
 
1.9%
7 50
 
1.8%
9 41
 
1.5%
Other values (108) 490
18.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 714
26.3%
1 535
19.7%
2 255
 
9.4%
3 139
 
5.1%
4 84
 
3.1%
5 78
 
2.9%
6 65
 
2.4%
7 50
 
1.8%
8 51
 
1.9%
9 41
 
1.5%
ValueCountFrequency (%)
4135 1
< 0.1%
2097 1
< 0.1%
1659 1
< 0.1%
1259 1
< 0.1%
834 1
< 0.1%
549 1
< 0.1%
463 1
< 0.1%
459 1
< 0.1%
378 1
< 0.1%
372 1
< 0.1%

2014-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean11.45004
Minimum0
Maximum3470
Zeros749
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:17.546919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile31
Maximum3470
Range3470
Interquartile range (IQR)6

Descriptive statistics

Standard deviation90.420005
Coefficient of variation (CV)7.8969161
Kurtosis943.49215
Mean11.45004
Median Absolute Deviation (MAD)1
Skewness27.806898
Sum28648
Variance8175.7774
MonotonicityNot monotonic
2024-04-06T18:02:17.741468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 749
27.6%
1 551
20.3%
2 246
 
9.1%
3 140
 
5.2%
4 93
 
3.4%
5 66
 
2.4%
6 64
 
2.4%
8 54
 
2.0%
7 52
 
1.9%
11 44
 
1.6%
Other values (99) 443
16.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 749
27.6%
1 551
20.3%
2 246
 
9.1%
3 140
 
5.2%
4 93
 
3.4%
5 66
 
2.4%
6 64
 
2.4%
7 52
 
1.9%
8 54
 
2.0%
9 39
 
1.4%
ValueCountFrequency (%)
3470 1
< 0.1%
1782 1
< 0.1%
1333 1
< 0.1%
1124 1
< 0.1%
698 1
< 0.1%
431 1
< 0.1%
410 1
< 0.1%
384 1
< 0.1%
345 1
< 0.1%
340 1
< 0.1%

2014-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct110
Distinct (%)4.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean11.392886
Minimum0
Maximum3473
Zeros769
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:17.970341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile32.95
Maximum3473
Range3473
Interquartile range (IQR)6

Descriptive statistics

Standard deviation90.533372
Coefficient of variation (CV)7.9464829
Kurtosis943.10099
Mean11.392886
Median Absolute Deviation (MAD)1
Skewness27.85838
Sum28505
Variance8196.2914
MonotonicityNot monotonic
2024-04-06T18:02:18.212174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 769
28.3%
1 561
20.6%
2 242
 
8.9%
3 121
 
4.5%
4 113
 
4.2%
5 69
 
2.5%
7 64
 
2.4%
6 60
 
2.2%
8 38
 
1.4%
9 36
 
1.3%
Other values (100) 429
15.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 769
28.3%
1 561
20.6%
2 242
 
8.9%
3 121
 
4.5%
4 113
 
4.2%
5 69
 
2.5%
6 60
 
2.2%
7 64
 
2.4%
8 38
 
1.4%
9 36
 
1.3%
ValueCountFrequency (%)
3473 1
< 0.1%
1699 1
< 0.1%
1520 1
< 0.1%
1105 1
< 0.1%
646 1
< 0.1%
391 1
< 0.1%
388 1
< 0.1%
367 1
< 0.1%
338 1
< 0.1%
309 1
< 0.1%

2014-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct113
Distinct (%)4.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean12.266428
Minimum0
Maximum3948
Zeros722
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:18.496719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile36
Maximum3948
Range3948
Interquartile range (IQR)6

Descriptive statistics

Standard deviation99.382417
Coefficient of variation (CV)8.1019853
Kurtosis1045.6757
Mean12.266428
Median Absolute Deviation (MAD)1
Skewness29.24218
Sum30801
Variance9876.8648
MonotonicityNot monotonic
2024-04-06T18:02:18.736427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 722
26.6%
1 566
20.8%
2 243
 
8.9%
3 153
 
5.6%
4 86
 
3.2%
5 79
 
2.9%
7 58
 
2.1%
6 55
 
2.0%
8 53
 
1.9%
9 41
 
1.5%
Other values (103) 455
16.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 722
26.6%
1 566
20.8%
2 243
 
8.9%
3 153
 
5.6%
4 86
 
3.2%
5 79
 
2.9%
6 55
 
2.0%
7 58
 
2.1%
8 53
 
1.9%
9 41
 
1.5%
ValueCountFrequency (%)
3948 1
< 0.1%
1772 1
< 0.1%
1401 1
< 0.1%
1254 1
< 0.1%
793 1
< 0.1%
431 1
< 0.1%
410 1
< 0.1%
408 1
< 0.1%
395 1
< 0.1%
355 1
< 0.1%

2014-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct110
Distinct (%)4.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.89327
Minimum0
Maximum3843
Zeros784
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:18.962993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35
Maximum3843
Range3843
Interquartile range (IQR)6

Descriptive statistics

Standard deviation96.960281
Coefficient of variation (CV)8.1525337
Kurtosis1039.2059
Mean11.89327
Median Absolute Deviation (MAD)1
Skewness29.155105
Sum29864
Variance9401.2962
MonotonicityNot monotonic
2024-04-06T18:02:19.199396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 784
28.8%
1 542
19.9%
2 240
 
8.8%
3 137
 
5.0%
5 82
 
3.0%
6 74
 
2.7%
4 69
 
2.5%
8 50
 
1.8%
7 43
 
1.6%
11 39
 
1.4%
Other values (100) 451
16.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 784
28.8%
1 542
19.9%
2 240
 
8.8%
3 137
 
5.0%
4 69
 
2.5%
5 82
 
3.0%
6 74
 
2.7%
7 43
 
1.6%
8 50
 
1.8%
9 37
 
1.4%
ValueCountFrequency (%)
3843 1
< 0.1%
1784 1
< 0.1%
1271 1
< 0.1%
1241 1
< 0.1%
812 1
< 0.1%
454 1
< 0.1%
431 1
< 0.1%
390 1
< 0.1%
360 1
< 0.1%
358 1
< 0.1%

2014-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct114
Distinct (%)4.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.198327
Minimum0
Maximum4188
Zeros766
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:19.475274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile38.5
Maximum4188
Range4188
Interquartile range (IQR)7

Descriptive statistics

Standard deviation107.24656
Coefficient of variation (CV)8.125769
Kurtosis991.14644
Mean13.198327
Median Absolute Deviation (MAD)1
Skewness28.487359
Sum33141
Variance11501.824
MonotonicityNot monotonic
2024-04-06T18:02:19.712232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 766
28.2%
1 559
20.6%
2 222
 
8.2%
3 136
 
5.0%
4 81
 
3.0%
7 63
 
2.3%
5 62
 
2.3%
6 53
 
1.9%
8 43
 
1.6%
9 38
 
1.4%
Other values (104) 488
18.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 766
28.2%
1 559
20.6%
2 222
 
8.2%
3 136
 
5.0%
4 81
 
3.0%
5 62
 
2.3%
6 53
 
1.9%
7 63
 
2.3%
8 43
 
1.6%
9 38
 
1.4%
ValueCountFrequency (%)
4188 1
< 0.1%
2004 1
< 0.1%
1576 1
< 0.1%
1326 1
< 0.1%
915 1
< 0.1%
529 1
< 0.1%
481 1
< 0.1%
425 1
< 0.1%
388 1
< 0.1%
371 1
< 0.1%

2014-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct139
Distinct (%)5.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean18.561928
Minimum0
Maximum4937
Zeros673
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:19.928967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile48
Maximum4937
Range4937
Interquartile range (IQR)8

Descriptive statistics

Standard deviation150.26517
Coefficient of variation (CV)8.0953428
Kurtosis668.21097
Mean18.561928
Median Absolute Deviation (MAD)2
Skewness23.780139
Sum46609
Variance22579.62
MonotonicityNot monotonic
2024-04-06T18:02:20.181664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 673
24.8%
1 530
19.5%
2 237
 
8.7%
3 143
 
5.3%
5 76
 
2.8%
4 72
 
2.6%
6 59
 
2.2%
8 57
 
2.1%
7 51
 
1.9%
9 44
 
1.6%
Other values (129) 569
20.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 673
24.8%
1 530
19.5%
2 237
 
8.7%
3 143
 
5.3%
4 72
 
2.6%
5 76
 
2.8%
6 59
 
2.2%
7 51
 
1.9%
8 57
 
2.1%
9 44
 
1.6%
ValueCountFrequency (%)
4937 1
< 0.1%
3859 1
< 0.1%
2552 1
< 0.1%
1704 1
< 0.1%
1115 1
< 0.1%
1040 1
< 0.1%
922 1
< 0.1%
887 1
< 0.1%
858 1
< 0.1%
698 1
< 0.1%

2014-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.682995
Minimum0
Maximum4351
Zeros731
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:20.466817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile39
Maximum4351
Range4351
Interquartile range (IQR)7

Descriptive statistics

Standard deviation110.48896
Coefficient of variation (CV)8.0749103
Kurtosis1020.121
Mean13.682995
Median Absolute Deviation (MAD)1
Skewness28.915198
Sum34358
Variance12207.809
MonotonicityNot monotonic
2024-04-06T18:02:20.792057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 731
26.9%
1 537
19.8%
2 236
 
8.7%
3 114
 
4.2%
4 98
 
3.6%
5 82
 
3.0%
6 62
 
2.3%
7 54
 
2.0%
10 41
 
1.5%
8 41
 
1.5%
Other values (106) 515
18.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 731
26.9%
1 537
19.8%
2 236
 
8.7%
3 114
 
4.2%
4 98
 
3.6%
5 82
 
3.0%
6 62
 
2.3%
7 54
 
2.0%
8 41
 
1.5%
9 35
 
1.3%
ValueCountFrequency (%)
4351 1
< 0.1%
2086 1
< 0.1%
1549 1
< 0.1%
1329 1
< 0.1%
909 1
< 0.1%
535 1
< 0.1%
465 1
< 0.1%
450 1
< 0.1%
421 1
< 0.1%
374 1
< 0.1%

2014-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct126
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.426523
Minimum0
Maximum4618
Zeros708
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:21.061312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile43
Maximum4618
Range4618
Interquartile range (IQR)7

Descriptive statistics

Standard deviation117.75976
Coefficient of variation (CV)8.1627262
Kurtosis1012.1635
Mean14.426523
Median Absolute Deviation (MAD)1
Skewness28.852454
Sum36225
Variance13867.361
MonotonicityNot monotonic
2024-04-06T18:02:21.312943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 708
26.0%
1 560
20.6%
2 236
 
8.7%
3 122
 
4.5%
4 97
 
3.6%
5 69
 
2.5%
6 63
 
2.3%
7 61
 
2.2%
10 45
 
1.7%
8 41
 
1.5%
Other values (116) 509
18.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 708
26.0%
1 560
20.6%
2 236
 
8.7%
3 122
 
4.5%
4 97
 
3.6%
5 69
 
2.5%
6 63
 
2.3%
7 61
 
2.2%
8 41
 
1.5%
9 33
 
1.2%
ValueCountFrequency (%)
4618 1
< 0.1%
2322 1
< 0.1%
1677 1
< 0.1%
1291 1
< 0.1%
927 1
< 0.1%
521 1
< 0.1%
510 1
< 0.1%
498 1
< 0.1%
475 1
< 0.1%
444 1
< 0.1%

2015-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct118
Distinct (%)4.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean12.254082
Minimum0
Maximum4105
Zeros807
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:21.566705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35
Maximum4105
Range4105
Interquartile range (IQR)6

Descriptive statistics

Standard deviation102.12061
Coefficient of variation (CV)8.3335997
Kurtosis1094.4035
Mean12.254082
Median Absolute Deviation (MAD)1
Skewness30.011429
Sum30770
Variance10428.62
MonotonicityNot monotonic
2024-04-06T18:02:21.827281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 807
29.7%
1 528
19.4%
2 237
 
8.7%
3 120
 
4.4%
4 96
 
3.5%
5 74
 
2.7%
6 60
 
2.2%
7 52
 
1.9%
9 40
 
1.5%
8 37
 
1.4%
Other values (108) 460
16.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 807
29.7%
1 528
19.4%
2 237
 
8.7%
3 120
 
4.4%
4 96
 
3.5%
5 74
 
2.7%
6 60
 
2.2%
7 52
 
1.9%
8 37
 
1.4%
9 40
 
1.5%
ValueCountFrequency (%)
4105 1
< 0.1%
1921 1
< 0.1%
1315 1
< 0.1%
1110 1
< 0.1%
845 1
< 0.1%
470 1
< 0.1%
432 1
< 0.1%
427 1
< 0.1%
384 1
< 0.1%
340 1
< 0.1%

2015-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.94783
Minimum0
Maximum3875
Zeros831
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:22.053978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile34.5
Maximum3875
Range3875
Interquartile range (IQR)5

Descriptive statistics

Standard deviation98.607258
Coefficient of variation (CV)8.2531524
Kurtosis1013.7771
Mean11.94783
Median Absolute Deviation (MAD)1
Skewness28.823397
Sum30001
Variance9723.3913
MonotonicityNot monotonic
2024-04-06T18:02:22.329320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 831
30.6%
1 520
19.1%
2 228
 
8.4%
3 140
 
5.2%
4 97
 
3.6%
5 68
 
2.5%
7 57
 
2.1%
8 46
 
1.7%
6 46
 
1.7%
9 42
 
1.5%
Other values (106) 436
16.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 831
30.6%
1 520
19.1%
2 228
 
8.4%
3 140
 
5.2%
4 97
 
3.6%
5 68
 
2.5%
6 46
 
1.7%
7 57
 
2.1%
8 46
 
1.7%
9 42
 
1.5%
ValueCountFrequency (%)
3875 1
< 0.1%
1862 1
< 0.1%
1452 1
< 0.1%
1082 1
< 0.1%
862 1
< 0.1%
459 1
< 0.1%
404 1
< 0.1%
392 1
< 0.1%
353 1
< 0.1%
342 1
< 0.1%

2015-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct128
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean17.288331
Minimum0
Maximum5286
Zeros673
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:22.534610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile46
Maximum5286
Range5286
Interquartile range (IQR)8

Descriptive statistics

Standard deviation142.90572
Coefficient of variation (CV)8.2660216
Kurtosis835.54797
Mean17.288331
Median Absolute Deviation (MAD)2
Skewness26.11516
Sum43411
Variance20422.045
MonotonicityNot monotonic
2024-04-06T18:02:22.756547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 673
24.8%
1 514
18.9%
2 242
 
8.9%
3 139
 
5.1%
4 101
 
3.7%
5 82
 
3.0%
6 61
 
2.2%
7 53
 
1.9%
8 47
 
1.7%
9 45
 
1.7%
Other values (118) 554
20.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 673
24.8%
1 514
18.9%
2 242
 
8.9%
3 139
 
5.1%
4 101
 
3.7%
5 82
 
3.0%
6 61
 
2.2%
7 53
 
1.9%
8 47
 
1.7%
9 45
 
1.7%
ValueCountFrequency (%)
5286 1
< 0.1%
2645 1
< 0.1%
2641 1
< 0.1%
1475 1
< 0.1%
1275 1
< 0.1%
1162 1
< 0.1%
913 1
< 0.1%
698 1
< 0.1%
664 1
< 0.1%
491 1
< 0.1%

2015-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct130
Distinct (%)5.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean17.35006
Minimum0
Maximum5551
Zeros668
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:23.077718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile47
Maximum5551
Range5551
Interquartile range (IQR)8

Descriptive statistics

Standard deviation143.4315
Coefficient of variation (CV)8.2669167
Kurtosis971.96833
Mean17.35006
Median Absolute Deviation (MAD)2
Skewness28.280734
Sum43566
Variance20572.595
MonotonicityNot monotonic
2024-04-06T18:02:23.315033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 668
24.6%
1 499
18.4%
2 248
 
9.1%
3 137
 
5.0%
4 103
 
3.8%
6 69
 
2.5%
5 65
 
2.4%
7 55
 
2.0%
8 47
 
1.7%
9 42
 
1.5%
Other values (120) 578
21.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 668
24.6%
1 499
18.4%
2 248
 
9.1%
3 137
 
5.0%
4 103
 
3.8%
5 65
 
2.4%
6 69
 
2.5%
7 55
 
2.0%
8 47
 
1.7%
9 42
 
1.5%
ValueCountFrequency (%)
5551 1
< 0.1%
2921 1
< 0.1%
1977 1
< 0.1%
1526 1
< 0.1%
1395 1
< 0.1%
763 1
< 0.1%
725 1
< 0.1%
539 1
< 0.1%
504 1
< 0.1%
487 1
< 0.1%

2015-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct122
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.226205
Minimum0
Maximum4899
Zeros663
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:23.573883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile45
Maximum4899
Range4899
Interquartile range (IQR)8

Descriptive statistics

Standard deviation129.90267
Coefficient of variation (CV)8.0057336
Kurtosis894.05486
Mean16.226205
Median Absolute Deviation (MAD)2
Skewness27.105043
Sum40744
Variance16874.704
MonotonicityNot monotonic
2024-04-06T18:02:23.797880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 663
24.4%
1 516
19.0%
2 237
 
8.7%
3 132
 
4.9%
4 113
 
4.2%
5 78
 
2.9%
6 57
 
2.1%
7 54
 
2.0%
8 48
 
1.8%
9 48
 
1.8%
Other values (112) 565
20.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 663
24.4%
1 516
19.0%
2 237
 
8.7%
3 132
 
4.9%
4 113
 
4.2%
5 78
 
2.9%
6 57
 
2.1%
7 54
 
2.0%
8 48
 
1.8%
9 48
 
1.8%
ValueCountFrequency (%)
4899 1
< 0.1%
2624 1
< 0.1%
2058 1
< 0.1%
1519 1
< 0.1%
1170 1
< 0.1%
688 1
< 0.1%
672 1
< 0.1%
551 1
< 0.1%
486 1
< 0.1%
445 1
< 0.1%

2015-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct129
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.527678
Minimum0
Maximum4870
Zeros634
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:24.020468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile44
Maximum4870
Range4870
Interquartile range (IQR)8

Descriptive statistics

Standard deviation130.50602
Coefficient of variation (CV)7.89621
Kurtosis867.41
Mean16.527678
Median Absolute Deviation (MAD)2
Skewness26.726245
Sum41501
Variance17031.821
MonotonicityNot monotonic
2024-04-06T18:02:24.698549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 634
23.3%
1 528
19.4%
2 239
 
8.8%
3 134
 
4.9%
4 102
 
3.8%
5 92
 
3.4%
7 68
 
2.5%
6 52
 
1.9%
8 43
 
1.6%
9 38
 
1.4%
Other values (119) 581
21.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 634
23.3%
1 528
19.4%
2 239
 
8.8%
3 134
 
4.9%
4 102
 
3.8%
5 92
 
3.4%
6 52
 
1.9%
7 68
 
2.5%
8 43
 
1.6%
9 38
 
1.4%
ValueCountFrequency (%)
4870 1
< 0.1%
2624 1
< 0.1%
2233 1
< 0.1%
1494 1
< 0.1%
1123 1
< 0.1%
686 1
< 0.1%
638 1
< 0.1%
582 1
< 0.1%
477 1
< 0.1%
453 1
< 0.1%

2015-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct136
Distinct (%)5.4%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean17.790386
Minimum0
Maximum5152
Zeros666
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:24.928100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile50
Maximum5152
Range5152
Interquartile range (IQR)8

Descriptive statistics

Standard deviation139.78427
Coefficient of variation (CV)7.8572928
Kurtosis832.89623
Mean17.790386
Median Absolute Deviation (MAD)2
Skewness26.194536
Sum45152
Variance19539.643
MonotonicityNot monotonic
2024-04-06T18:02:25.203888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 666
24.5%
1 504
18.5%
2 246
 
9.1%
3 140
 
5.2%
4 107
 
3.9%
5 72
 
2.6%
6 65
 
2.4%
8 56
 
2.1%
7 54
 
2.0%
9 37
 
1.4%
Other values (126) 591
21.7%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 666
24.5%
1 504
18.5%
2 246
 
9.1%
3 140
 
5.2%
4 107
 
3.9%
5 72
 
2.6%
6 65
 
2.4%
7 54
 
2.0%
8 56
 
2.1%
9 37
 
1.4%
ValueCountFrequency (%)
5152 1
< 0.1%
2743 1
< 0.1%
2651 1
< 0.1%
1684 1
< 0.1%
1027 1
< 0.1%
653 1
< 0.1%
645 1
< 0.1%
624 1
< 0.1%
551 1
< 0.1%
495 1
< 0.1%

2015-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct124
Distinct (%)4.9%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean14.668637
Minimum0
Maximum4313
Zeros697
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:25.469952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile41
Maximum4313
Range4313
Interquartile range (IQR)7

Descriptive statistics

Standard deviation115.94722
Coefficient of variation (CV)7.9044306
Kurtosis850.82015
Mean14.668637
Median Absolute Deviation (MAD)2
Skewness26.442533
Sum37229
Variance13443.758
MonotonicityNot monotonic
2024-04-06T18:02:25.698052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 697
25.6%
1 530
19.5%
2 241
 
8.9%
3 152
 
5.6%
4 103
 
3.8%
5 74
 
2.7%
6 67
 
2.5%
7 54
 
2.0%
8 48
 
1.8%
10 40
 
1.5%
Other values (114) 532
19.6%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 697
25.6%
1 530
19.5%
2 241
 
8.9%
3 152
 
5.6%
4 103
 
3.8%
5 74
 
2.7%
6 67
 
2.5%
7 54
 
2.0%
8 48
 
1.8%
9 37
 
1.4%
ValueCountFrequency (%)
4313 1
< 0.1%
2205 1
< 0.1%
2158 1
< 0.1%
1389 1
< 0.1%
1030 1
< 0.1%
600 1
< 0.1%
570 1
< 0.1%
498 1
< 0.1%
455 1
< 0.1%
445 1
< 0.1%

2015-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct118
Distinct (%)4.6%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean13.354216
Minimum0
Maximum3987
Zeros742
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:25.926002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile36
Maximum3987
Range3987
Interquartile range (IQR)7

Descriptive statistics

Standard deviation106.20981
Coefficient of variation (CV)7.9532796
Kurtosis869.26216
Mean13.354216
Median Absolute Deviation (MAD)2
Skewness26.658371
Sum33893
Variance11280.524
MonotonicityNot monotonic
2024-04-06T18:02:26.175168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 742
27.3%
1 519
19.1%
2 225
 
8.3%
3 177
 
6.5%
4 91
 
3.3%
6 65
 
2.4%
5 62
 
2.3%
8 59
 
2.2%
7 44
 
1.6%
9 41
 
1.5%
Other values (108) 513
18.9%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 742
27.3%
1 519
19.1%
2 225
 
8.3%
3 177
 
6.5%
4 91
 
3.3%
5 62
 
2.3%
6 65
 
2.4%
7 44
 
1.6%
8 59
 
2.2%
9 41
 
1.5%
ValueCountFrequency (%)
3987 1
< 0.1%
2098 1
< 0.1%
1692 1
< 0.1%
1315 1
< 0.1%
1133 1
< 0.1%
584 1
< 0.1%
509 1
< 0.1%
474 1
< 0.1%
439 1
< 0.1%
376 1
< 0.1%

2015-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct128
Distinct (%)5.0%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean15.605989
Minimum0
Maximum4713
Zeros638
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:26.409785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile43.15
Maximum4713
Range4713
Interquartile range (IQR)9

Descriptive statistics

Standard deviation124.09575
Coefficient of variation (CV)7.9518033
Kurtosis905.46458
Mean15.605989
Median Absolute Deviation (MAD)2
Skewness27.231637
Sum39608
Variance15399.756
MonotonicityNot monotonic
2024-04-06T18:02:26.624104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 638
23.5%
1 526
19.4%
2 244
 
9.0%
3 153
 
5.6%
4 104
 
3.8%
5 76
 
2.8%
6 63
 
2.3%
9 60
 
2.2%
8 55
 
2.0%
7 43
 
1.6%
Other values (118) 576
21.2%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 638
23.5%
1 526
19.4%
2 244
 
9.0%
3 153
 
5.6%
4 104
 
3.8%
5 76
 
2.8%
6 63
 
2.3%
7 43
 
1.6%
8 55
 
2.0%
9 60
 
2.2%
ValueCountFrequency (%)
4713 1
< 0.1%
2520 1
< 0.1%
1856 1
< 0.1%
1506 1
< 0.1%
1204 1
< 0.1%
712 1
< 0.1%
593 1
< 0.1%
537 1
< 0.1%
472 1
< 0.1%
449 2
0.1%

2015-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct129
Distinct (%)5.1%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean15.132782
Minimum0
Maximum4769
Zeros714
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:26.856353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile40
Maximum4769
Range4769
Interquartile range (IQR)8

Descriptive statistics

Standard deviation122.42884
Coefficient of variation (CV)8.0903063
Kurtosis974.17931
Mean15.132782
Median Absolute Deviation (MAD)2
Skewness28.170987
Sum38407
Variance14988.821
MonotonicityNot monotonic
2024-04-06T18:02:27.107116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 714
26.3%
1 509
18.7%
2 222
 
8.2%
3 149
 
5.5%
4 108
 
4.0%
5 63
 
2.3%
6 61
 
2.2%
7 55
 
2.0%
8 52
 
1.9%
9 50
 
1.8%
Other values (119) 555
20.4%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 714
26.3%
1 509
18.7%
2 222
 
8.2%
3 149
 
5.5%
4 108
 
4.0%
5 63
 
2.3%
6 61
 
2.2%
7 55
 
2.0%
8 52
 
1.9%
9 50
 
1.8%
ValueCountFrequency (%)
4769 1
< 0.1%
2323 1
< 0.1%
1794 1
< 0.1%
1426 1
< 0.1%
1213 1
< 0.1%
613 1
< 0.1%
555 1
< 0.1%
525 1
< 0.1%
507 1
< 0.1%
451 1
< 0.1%

2015-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct127
Distinct (%)5.0%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean14.604413
Minimum0
Maximum4492
Zeros687
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:27.355561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile41
Maximum4492
Range4492
Interquartile range (IQR)7

Descriptive statistics

Standard deviation115.84333
Coefficient of variation (CV)7.9320771
Kurtosis957.26109
Mean14.604413
Median Absolute Deviation (MAD)2
Skewness27.894281
Sum37066
Variance13419.677
MonotonicityNot monotonic
2024-04-06T18:02:27.635426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 687
25.3%
1 557
20.5%
2 207
 
7.6%
3 144
 
5.3%
4 103
 
3.8%
5 74
 
2.7%
6 70
 
2.6%
7 63
 
2.3%
9 48
 
1.8%
8 41
 
1.5%
Other values (117) 544
20.0%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 687
25.3%
1 557
20.5%
2 207
 
7.6%
3 144
 
5.3%
4 103
 
3.8%
5 74
 
2.7%
6 70
 
2.6%
7 63
 
2.3%
8 41
 
1.5%
9 48
 
1.8%
ValueCountFrequency (%)
4492 1
< 0.1%
2095 1
< 0.1%
1854 1
< 0.1%
1451 1
< 0.1%
998 1
< 0.1%
544 1
< 0.1%
534 1
< 0.1%
509 1
< 0.1%
494 1
< 0.1%
452 1
< 0.1%

2016-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct107
Distinct (%)4.2%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean11.299448
Minimum0
Maximum3618
Zeros821
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:27.893916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile31
Maximum3618
Range3618
Interquartile range (IQR)6

Descriptive statistics

Standard deviation91.222707
Coefficient of variation (CV)8.0732001
Kurtosis1029.7579
Mean11.299448
Median Absolute Deviation (MAD)1
Skewness28.938501
Sum28678
Variance8321.5823
MonotonicityNot monotonic
2024-04-06T18:02:28.086219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 821
30.2%
1 550
20.2%
2 211
 
7.8%
3 127
 
4.7%
4 101
 
3.7%
5 84
 
3.1%
7 63
 
2.3%
8 59
 
2.2%
6 51
 
1.9%
10 35
 
1.3%
Other values (97) 436
16.0%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 821
30.2%
1 550
20.2%
2 211
 
7.8%
3 127
 
4.7%
4 101
 
3.7%
5 84
 
3.1%
6 51
 
1.9%
7 63
 
2.3%
8 59
 
2.2%
9 34
 
1.3%
ValueCountFrequency (%)
3618 1
< 0.1%
1600 1
< 0.1%
1395 1
< 0.1%
1063 1
< 0.1%
804 1
< 0.1%
388 1
< 0.1%
374 2
0.1%
365 1
< 0.1%
361 1
< 0.1%
339 1
< 0.1%

2016-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)3.9%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean9.894405
Minimum0
Maximum3077
Zeros851
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:28.279733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile27
Maximum3077
Range3077
Interquartile range (IQR)5

Descriptive statistics

Standard deviation78.860403
Coefficient of variation (CV)7.9702016
Kurtosis984.81108
Mean9.894405
Median Absolute Deviation (MAD)1
Skewness28.393091
Sum25112
Variance6218.9632
MonotonicityNot monotonic
2024-04-06T18:02:28.474597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 851
31.3%
1 539
19.8%
2 212
 
7.8%
3 131
 
4.8%
4 118
 
4.3%
6 87
 
3.2%
5 64
 
2.4%
9 53
 
1.9%
7 52
 
1.9%
8 35
 
1.3%
Other values (90) 396
14.6%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 851
31.3%
1 539
19.8%
2 212
 
7.8%
3 131
 
4.8%
4 118
 
4.3%
5 64
 
2.4%
6 87
 
3.2%
7 52
 
1.9%
8 35
 
1.3%
9 53
 
1.9%
ValueCountFrequency (%)
3077 1
< 0.1%
1534 1
< 0.1%
1193 1
< 0.1%
863 1
< 0.1%
706 1
< 0.1%
395 1
< 0.1%
342 1
< 0.1%
310 2
0.1%
307 1
< 0.1%
257 1
< 0.1%

2016-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.6%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean12.457053
Minimum0
Maximum3969
Zeros721
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:28.688018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile33
Maximum3969
Range3969
Interquartile range (IQR)6

Descriptive statistics

Standard deviation101.85829
Coefficient of variation (CV)8.1767565
Kurtosis988.82179
Mean12.457053
Median Absolute Deviation (MAD)1
Skewness28.549372
Sum31616
Variance10375.111
MonotonicityNot monotonic
2024-04-06T18:02:28.863718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 721
26.5%
1 551
20.3%
2 242
 
8.9%
3 135
 
5.0%
4 111
 
4.1%
5 87
 
3.2%
6 68
 
2.5%
7 54
 
2.0%
8 48
 
1.8%
10 39
 
1.4%
Other values (106) 482
17.7%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 721
26.5%
1 551
20.3%
2 242
 
8.9%
3 135
 
5.0%
4 111
 
4.1%
5 87
 
3.2%
6 68
 
2.5%
7 54
 
2.0%
8 48
 
1.8%
9 33
 
1.2%
ValueCountFrequency (%)
3969 1
< 0.1%
2092 1
< 0.1%
1454 1
< 0.1%
1010 1
< 0.1%
991 1
< 0.1%
546 1
< 0.1%
426 1
< 0.1%
421 1
< 0.1%
389 1
< 0.1%
385 1
< 0.1%

2016-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct115
Distinct (%)4.5%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean12.881797
Minimum0
Maximum4037
Zeros713
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:29.086608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile34
Maximum4037
Range4037
Interquartile range (IQR)7

Descriptive statistics

Standard deviation104.82303
Coefficient of variation (CV)8.1372987
Kurtosis957.68527
Mean12.881797
Median Absolute Deviation (MAD)2
Skewness28.124436
Sum32694
Variance10987.867
MonotonicityNot monotonic
2024-04-06T18:02:29.323404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 713
26.2%
1 541
19.9%
2 245
 
9.0%
3 140
 
5.2%
4 110
 
4.0%
5 76
 
2.8%
6 69
 
2.5%
7 69
 
2.5%
8 47
 
1.7%
11 36
 
1.3%
Other values (105) 492
18.1%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 713
26.2%
1 541
19.9%
2 245
 
9.0%
3 140
 
5.2%
4 110
 
4.0%
5 76
 
2.8%
6 69
 
2.5%
7 69
 
2.5%
8 47
 
1.7%
9 34
 
1.3%
ValueCountFrequency (%)
4037 1
< 0.1%
2225 1
< 0.1%
1518 1
< 0.1%
1005 1
< 0.1%
1004 1
< 0.1%
610 1
< 0.1%
488 1
< 0.1%
446 1
< 0.1%
396 1
< 0.1%
387 1
< 0.1%

2016-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct119
Distinct (%)4.7%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean13.622537
Minimum0
Maximum4445
Zeros707
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:29.571101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile34
Maximum4445
Range4445
Interquartile range (IQR)7

Descriptive statistics

Standard deviation113.29276
Coefficient of variation (CV)8.3165679
Kurtosis1003.1944
Mean13.622537
Median Absolute Deviation (MAD)2
Skewness28.635307
Sum34574
Variance12835.249
MonotonicityNot monotonic
2024-04-06T18:02:29.836945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 707
26.0%
1 548
20.2%
2 241
 
8.9%
3 137
 
5.0%
4 97
 
3.6%
5 72
 
2.6%
6 68
 
2.5%
7 67
 
2.5%
8 48
 
1.8%
9 44
 
1.6%
Other values (109) 509
18.7%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 707
26.0%
1 548
20.2%
2 241
 
8.9%
3 137
 
5.0%
4 97
 
3.6%
5 72
 
2.6%
6 68
 
2.5%
7 67
 
2.5%
8 48
 
1.8%
9 44
 
1.6%
ValueCountFrequency (%)
4445 1
< 0.1%
2236 1
< 0.1%
1609 1
< 0.1%
1083 1
< 0.1%
1076 1
< 0.1%
608 1
< 0.1%
565 1
< 0.1%
521 1
< 0.1%
438 1
< 0.1%
436 1
< 0.1%

2016-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct118
Distinct (%)4.6%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean14.41647
Minimum0
Maximum4630
Zeros712
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:30.101012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile38
Maximum4630
Range4630
Interquartile range (IQR)7

Descriptive statistics

Standard deviation119.1326
Coefficient of variation (CV)8.2636459
Kurtosis974.00843
Mean14.41647
Median Absolute Deviation (MAD)2
Skewness28.250439
Sum36589
Variance14192.577
MonotonicityNot monotonic
2024-04-06T18:02:30.341250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 712
26.2%
1 512
18.8%
2 241
 
8.9%
3 149
 
5.5%
4 109
 
4.0%
6 73
 
2.7%
5 70
 
2.6%
7 59
 
2.2%
8 53
 
1.9%
10 45
 
1.7%
Other values (108) 515
18.9%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 712
26.2%
1 512
18.8%
2 241
 
8.9%
3 149
 
5.5%
4 109
 
4.0%
5 70
 
2.6%
6 73
 
2.7%
7 59
 
2.2%
8 53
 
1.9%
9 30
 
1.1%
ValueCountFrequency (%)
4630 1
< 0.1%
2375 1
< 0.1%
1720 1
< 0.1%
1248 1
< 0.1%
1182 1
< 0.1%
670 1
< 0.1%
628 1
< 0.1%
471 1
< 0.1%
453 1
< 0.1%
447 1
< 0.1%

2016-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct125
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.880127
Minimum0
Maximum4456
Zeros733
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:30.558183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile40
Maximum4456
Range4456
Interquartile range (IQR)7

Descriptive statistics

Standard deviation119.13315
Coefficient of variation (CV)8.0061912
Kurtosis862.91003
Mean14.880127
Median Absolute Deviation (MAD)2
Skewness26.504146
Sum37364
Variance14192.706
MonotonicityNot monotonic
2024-04-06T18:02:31.187642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 733
27.0%
1 516
19.0%
2 215
 
7.9%
3 149
 
5.5%
4 91
 
3.3%
5 76
 
2.8%
6 70
 
2.6%
8 47
 
1.7%
9 46
 
1.7%
7 42
 
1.5%
Other values (115) 526
19.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 733
27.0%
1 516
19.0%
2 215
 
7.9%
3 149
 
5.5%
4 91
 
3.3%
5 76
 
2.8%
6 70
 
2.6%
7 42
 
1.5%
8 47
 
1.7%
9 46
 
1.7%
ValueCountFrequency (%)
4456 1
< 0.1%
2361 1
< 0.1%
1819 1
< 0.1%
1367 1
< 0.1%
1306 1
< 0.1%
710 1
< 0.1%
686 1
< 0.1%
499 1
< 0.1%
475 1
< 0.1%
463 1
< 0.1%

2016-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct125
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.453206
Minimum0
Maximum4860
Zeros703
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:31.397822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile44.5
Maximum4860
Range4860
Interquartile range (IQR)8

Descriptive statistics

Standard deviation126.82885
Coefficient of variation (CV)8.2072842
Kurtosis930.75776
Mean15.453206
Median Absolute Deviation (MAD)2
Skewness27.544919
Sum38803
Variance16085.558
MonotonicityNot monotonic
2024-04-06T18:02:31.640699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 703
25.9%
1 530
19.5%
2 227
 
8.4%
3 127
 
4.7%
5 99
 
3.6%
4 86
 
3.2%
6 55
 
2.0%
7 54
 
2.0%
8 50
 
1.8%
9 40
 
1.5%
Other values (115) 540
19.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 703
25.9%
1 530
19.5%
2 227
 
8.4%
3 127
 
4.7%
4 86
 
3.2%
5 99
 
3.6%
6 55
 
2.0%
7 54
 
2.0%
8 50
 
1.8%
9 40
 
1.5%
ValueCountFrequency (%)
4860 1
< 0.1%
2459 1
< 0.1%
1755 1
< 0.1%
1518 1
< 0.1%
1384 1
< 0.1%
722 1
< 0.1%
683 1
< 0.1%
495 1
< 0.1%
476 1
< 0.1%
473 1
< 0.1%

2016-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct120
Distinct (%)4.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.27957
Minimum0
Maximum4615
Zeros766
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:31.943344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile39
Maximum4615
Range4615
Interquartile range (IQR)7

Descriptive statistics

Standard deviation118.27609
Coefficient of variation (CV)8.282889
Kurtosis985.75184
Mean14.27957
Median Absolute Deviation (MAD)1
Skewness28.337934
Sum35856
Variance13989.234
MonotonicityNot monotonic
2024-04-06T18:02:32.162805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 766
28.2%
1 507
18.7%
2 214
 
7.9%
3 138
 
5.1%
4 95
 
3.5%
5 72
 
2.6%
6 71
 
2.6%
8 55
 
2.0%
7 50
 
1.8%
10 33
 
1.2%
Other values (110) 510
18.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 766
28.2%
1 507
18.7%
2 214
 
7.9%
3 138
 
5.1%
4 95
 
3.5%
5 72
 
2.6%
6 71
 
2.6%
7 50
 
1.8%
8 55
 
2.0%
9 32
 
1.2%
ValueCountFrequency (%)
4615 1
< 0.1%
2245 1
< 0.1%
1528 1
< 0.1%
1370 1
< 0.1%
1281 1
< 0.1%
643 1
< 0.1%
595 1
< 0.1%
538 1
< 0.1%
445 1
< 0.1%
441 1
< 0.1%

2016-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct126
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.673437
Minimum0
Maximum5257
Zeros694
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:32.385774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile46.5
Maximum5257
Range5257
Interquartile range (IQR)8

Descriptive statistics

Standard deviation136.87807
Coefficient of variation (CV)8.2093492
Kurtosis942.24699
Mean16.673437
Median Absolute Deviation (MAD)2
Skewness27.757772
Sum41867
Variance18735.605
MonotonicityNot monotonic
2024-04-06T18:02:32.611084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 694
25.5%
1 514
18.9%
2 205
 
7.5%
3 147
 
5.4%
4 115
 
4.2%
5 70
 
2.6%
6 58
 
2.1%
7 52
 
1.9%
9 40
 
1.5%
8 40
 
1.5%
Other values (116) 576
21.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 694
25.5%
1 514
18.9%
2 205
 
7.5%
3 147
 
5.4%
4 115
 
4.2%
5 70
 
2.6%
6 58
 
2.1%
7 52
 
1.9%
8 40
 
1.5%
9 40
 
1.5%
ValueCountFrequency (%)
5257 1
< 0.1%
2746 1
< 0.1%
1690 1
< 0.1%
1607 1
< 0.1%
1584 1
< 0.1%
783 1
< 0.1%
710 1
< 0.1%
528 1
< 0.1%
514 1
< 0.1%
492 1
< 0.1%

2016-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct131
Distinct (%)5.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.244524
Minimum0
Maximum5228
Zeros697
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:32.814100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile47
Maximum5228
Range5228
Interquartile range (IQR)8

Descriptive statistics

Standard deviation133.98481
Coefficient of variation (CV)8.2479988
Kurtosis990.3693
Mean16.244524
Median Absolute Deviation (MAD)2
Skewness28.480029
Sum40790
Variance17951.931
MonotonicityNot monotonic
2024-04-06T18:02:33.049343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 697
25.6%
1 507
18.7%
2 218
 
8.0%
3 146
 
5.4%
4 104
 
3.8%
5 65
 
2.4%
6 61
 
2.2%
7 56
 
2.1%
8 55
 
2.0%
10 42
 
1.5%
Other values (121) 560
20.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 697
25.6%
1 507
18.7%
2 218
 
8.0%
3 146
 
5.4%
4 104
 
3.8%
5 65
 
2.4%
6 61
 
2.2%
7 56
 
2.1%
8 55
 
2.0%
9 35
 
1.3%
ValueCountFrequency (%)
5228 1
< 0.1%
2604 1
< 0.1%
1745 1
< 0.1%
1529 1
< 0.1%
1441 1
< 0.1%
713 1
< 0.1%
633 1
< 0.1%
506 1
< 0.1%
478 1
< 0.1%
455 1
< 0.1%

2016-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct126
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.803664
Minimum0
Maximum4423
Zeros701
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:33.271196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile39.5
Maximum4423
Range4423
Interquartile range (IQR)7

Descriptive statistics

Standard deviation118.41351
Coefficient of variation (CV)7.9989329
Kurtosis861.47124
Mean14.803664
Median Absolute Deviation (MAD)2
Skewness26.527479
Sum37172
Variance14021.76
MonotonicityNot monotonic
2024-04-06T18:02:33.486989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 701
25.8%
1 524
19.3%
2 232
 
8.5%
3 141
 
5.2%
4 111
 
4.1%
5 72
 
2.6%
6 63
 
2.3%
8 46
 
1.7%
9 43
 
1.6%
7 42
 
1.5%
Other values (116) 536
19.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 701
25.8%
1 524
19.3%
2 232
 
8.5%
3 141
 
5.2%
4 111
 
4.1%
5 72
 
2.6%
6 63
 
2.3%
7 42
 
1.5%
8 46
 
1.7%
9 43
 
1.6%
ValueCountFrequency (%)
4423 1
< 0.1%
2375 1
< 0.1%
1736 1
< 0.1%
1536 1
< 0.1%
1225 1
< 0.1%
797 1
< 0.1%
503 1
< 0.1%
450 1
< 0.1%
447 2
0.1%
446 1
< 0.1%

2017-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct103
Distinct (%)4.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean10.670649
Minimum0
Maximum3536
Zeros852
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:33.722962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile33
Maximum3536
Range3536
Interquartile range (IQR)5

Descriptive statistics

Standard deviation88.369377
Coefficient of variation (CV)8.2815372
Kurtosis1074.1828
Mean10.670649
Median Absolute Deviation (MAD)1
Skewness29.662647
Sum26794
Variance7809.1469
MonotonicityNot monotonic
2024-04-06T18:02:33.954369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 852
31.3%
1 535
19.7%
2 217
 
8.0%
3 136
 
5.0%
5 97
 
3.6%
4 77
 
2.8%
6 62
 
2.3%
7 54
 
2.0%
8 43
 
1.6%
11 35
 
1.3%
Other values (93) 403
14.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 852
31.3%
1 535
19.7%
2 217
 
8.0%
3 136
 
5.0%
4 77
 
2.8%
5 97
 
3.6%
6 62
 
2.3%
7 54
 
2.0%
8 43
 
1.6%
9 33
 
1.2%
ValueCountFrequency (%)
3536 1
< 0.1%
1643 1
< 0.1%
1140 1
< 0.1%
896 1
< 0.1%
879 1
< 0.1%
463 1
< 0.1%
387 1
< 0.1%
367 1
< 0.1%
315 1
< 0.1%
310 2
0.1%

2017-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct104
Distinct (%)4.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean10.72043
Minimum0
Maximum3418
Zeros768
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:34.263403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile31
Maximum3418
Range3418
Interquartile range (IQR)5

Descriptive statistics

Standard deviation87.243611
Coefficient of variation (CV)8.1380701
Kurtosis1013.0391
Mean10.72043
Median Absolute Deviation (MAD)1
Skewness28.896455
Sum26919
Variance7611.4477
MonotonicityNot monotonic
2024-04-06T18:02:34.464167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 768
28.3%
1 573
21.1%
2 227
 
8.4%
3 146
 
5.4%
4 108
 
4.0%
5 64
 
2.4%
6 63
 
2.3%
7 56
 
2.1%
8 46
 
1.7%
10 42
 
1.5%
Other values (94) 418
15.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 768
28.3%
1 573
21.1%
2 227
 
8.4%
3 146
 
5.4%
4 108
 
4.0%
5 64
 
2.4%
6 63
 
2.3%
7 56
 
2.1%
8 46
 
1.7%
9 36
 
1.3%
ValueCountFrequency (%)
3418 1
< 0.1%
1787 1
< 0.1%
1112 1
< 0.1%
905 1
< 0.1%
815 1
< 0.1%
465 1
< 0.1%
376 1
< 0.1%
375 1
< 0.1%
362 1
< 0.1%
313 1
< 0.1%

2017-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct121
Distinct (%)4.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.319793
Minimum0
Maximum4480
Zeros713
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:34.730725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.5
95-th percentile38
Maximum4480
Range4480
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation112.56524
Coefficient of variation (CV)8.4509755
Kurtosis1065.4443
Mean13.319793
Median Absolute Deviation (MAD)1
Skewness29.683017
Sum33446
Variance12670.934
MonotonicityNot monotonic
2024-04-06T18:02:34.972813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 713
26.2%
1 550
20.2%
2 250
 
9.2%
3 130
 
4.8%
4 93
 
3.4%
5 84
 
3.1%
6 63
 
2.3%
8 63
 
2.3%
7 51
 
1.9%
9 39
 
1.4%
Other values (111) 475
17.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 713
26.2%
1 550
20.2%
2 250
 
9.2%
3 130
 
4.8%
4 93
 
3.4%
5 84
 
3.1%
6 63
 
2.3%
7 51
 
1.9%
8 63
 
2.3%
9 39
 
1.4%
ValueCountFrequency (%)
4480 1
< 0.1%
2244 1
< 0.1%
1344 1
< 0.1%
1244 1
< 0.1%
1010 1
< 0.1%
616 1
< 0.1%
459 1
< 0.1%
447 1
< 0.1%
415 1
< 0.1%
377 1
< 0.1%

2017-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.166069
Minimum0
Maximum4509
Zeros746
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:35.231062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile37
Maximum4509
Range4509
Interquartile range (IQR)6

Descriptive statistics

Standard deviation112.56994
Coefficient of variation (CV)8.5500038
Kurtosis1090.8622
Mean13.166069
Median Absolute Deviation (MAD)1
Skewness30.063023
Sum33060
Variance12671.992
MonotonicityNot monotonic
2024-04-06T18:02:35.513045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 746
27.4%
1 538
19.8%
2 254
 
9.3%
3 132
 
4.9%
5 83
 
3.1%
4 78
 
2.9%
7 74
 
2.7%
6 63
 
2.3%
8 43
 
1.6%
10 39
 
1.4%
Other values (106) 461
17.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 746
27.4%
1 538
19.8%
2 254
 
9.3%
3 132
 
4.9%
4 78
 
2.9%
5 83
 
3.1%
6 63
 
2.3%
7 74
 
2.7%
8 43
 
1.6%
9 37
 
1.4%
ValueCountFrequency (%)
4509 1
< 0.1%
2268 1
< 0.1%
1207 2
0.1%
1026 1
< 0.1%
576 1
< 0.1%
560 1
< 0.1%
406 1
< 0.1%
395 1
< 0.1%
392 1
< 0.1%
362 1
< 0.1%

2017-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct126
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.12266
Minimum0
Maximum5444
Zeros729
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:35.747690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile44
Maximum5444
Range5444
Interquartile range (IQR)7

Descriptive statistics

Standard deviation131.69207
Coefficient of variation (CV)8.7082607
Kurtosis1200.85
Mean15.12266
Median Absolute Deviation (MAD)1
Skewness31.468765
Sum37973
Variance17342.801
MonotonicityNot monotonic
2024-04-06T18:02:36.035649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 729
26.8%
1 530
19.5%
2 235
 
8.6%
3 128
 
4.7%
4 105
 
3.9%
7 62
 
2.3%
6 61
 
2.2%
5 59
 
2.2%
8 51
 
1.9%
9 45
 
1.7%
Other values (116) 506
18.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 729
26.8%
1 530
19.5%
2 235
 
8.6%
3 128
 
4.7%
4 105
 
3.9%
5 59
 
2.2%
6 61
 
2.2%
7 62
 
2.3%
8 51
 
1.9%
9 45
 
1.7%
ValueCountFrequency (%)
5444 1
< 0.1%
2337 1
< 0.1%
1393 1
< 0.1%
1313 1
< 0.1%
1182 1
< 0.1%
678 1
< 0.1%
627 1
< 0.1%
596 1
< 0.1%
448 1
< 0.1%
444 1
< 0.1%

2017-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct133
Distinct (%)5.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.714456
Minimum0
Maximum5851
Zeros696
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:36.292052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile47.5
Maximum5851
Range5851
Interquartile range (IQR)8

Descriptive statistics

Standard deviation144.59742
Coefficient of variation (CV)8.6510395
Kurtosis1118.3644
Mean16.714456
Median Absolute Deviation (MAD)2
Skewness30.348227
Sum41970
Variance20908.414
MonotonicityNot monotonic
2024-04-06T18:02:36.552191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 696
25.6%
1 517
19.0%
2 239
 
8.8%
3 145
 
5.3%
4 94
 
3.5%
5 70
 
2.6%
7 55
 
2.0%
9 51
 
1.9%
8 48
 
1.8%
6 46
 
1.7%
Other values (123) 550
20.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 696
25.6%
1 517
19.0%
2 239
 
8.8%
3 145
 
5.3%
4 94
 
3.5%
5 70
 
2.6%
6 46
 
1.7%
7 55
 
2.0%
8 48
 
1.8%
9 51
 
1.9%
ValueCountFrequency (%)
5851 1
< 0.1%
2701 1
< 0.1%
1705 1
< 0.1%
1442 1
< 0.1%
1392 1
< 0.1%
837 1
< 0.1%
742 1
< 0.1%
565 1
< 0.1%
528 1
< 0.1%
489 1
< 0.1%

2017-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct139
Distinct (%)5.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean17.536041
Minimum0
Maximum6298
Zeros703
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:36.827727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile51
Maximum6298
Range6298
Interquartile range (IQR)8

Descriptive statistics

Standard deviation155.4069
Coefficient of variation (CV)8.8621428
Kurtosis1123.9777
Mean17.536041
Median Absolute Deviation (MAD)2
Skewness30.459851
Sum44033
Variance24151.305
MonotonicityNot monotonic
2024-04-06T18:02:37.080616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 703
25.9%
1 515
18.9%
2 221
 
8.1%
3 141
 
5.2%
4 103
 
3.8%
5 77
 
2.8%
6 66
 
2.4%
7 49
 
1.8%
9 47
 
1.7%
8 45
 
1.7%
Other values (129) 544
20.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 703
25.9%
1 515
18.9%
2 221
 
8.1%
3 141
 
5.2%
4 103
 
3.8%
5 77
 
2.8%
6 66
 
2.4%
7 49
 
1.8%
8 45
 
1.7%
9 47
 
1.7%
ValueCountFrequency (%)
6298 1
< 0.1%
2830 1
< 0.1%
2061 1
< 0.1%
1472 1
< 0.1%
1453 1
< 0.1%
950 1
< 0.1%
762 1
< 0.1%
506 1
< 0.1%
496 1
< 0.1%
491 1
< 0.1%

2017-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct148
Distinct (%)5.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean19.310633
Minimum0
Maximum7426
Zeros664
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:37.320013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile55.5
Maximum7426
Range7426
Interquartile range (IQR)8

Descriptive statistics

Standard deviation177.47692
Coefficient of variation (CV)9.1906316
Kurtosis1250.0171
Mean19.310633
Median Absolute Deviation (MAD)2
Skewness32.171324
Sum48489
Variance31498.056
MonotonicityNot monotonic
2024-04-06T18:02:37.582862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 664
24.4%
1 532
19.6%
2 256
 
9.4%
3 134
 
4.9%
4 94
 
3.5%
6 73
 
2.7%
5 58
 
2.1%
7 49
 
1.8%
9 42
 
1.5%
8 41
 
1.5%
Other values (138) 568
20.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 664
24.4%
1 532
19.6%
2 256
 
9.4%
3 134
 
4.9%
4 94
 
3.5%
5 58
 
2.1%
6 73
 
2.7%
7 49
 
1.8%
8 41
 
1.5%
9 42
 
1.5%
ValueCountFrequency (%)
7426 1
< 0.1%
2834 1
< 0.1%
2275 1
< 0.1%
1686 1
< 0.1%
1508 1
< 0.1%
979 1
< 0.1%
812 1
< 0.1%
719 1
< 0.1%
604 1
< 0.1%
591 1
< 0.1%

2017-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct131
Distinct (%)5.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.648746
Minimum0
Maximum6251
Zeros729
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:38.241362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile50
Maximum6251
Range6251
Interquartile range (IQR)7

Descriptive statistics

Standard deviation149.99433
Coefficient of variation (CV)9.0093476
Kurtosis1231.3788
Mean16.648746
Median Absolute Deviation (MAD)2
Skewness31.894864
Sum41805
Variance22498.3
MonotonicityNot monotonic
2024-04-06T18:02:38.564421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 729
26.8%
1 498
18.3%
2 230
 
8.5%
3 159
 
5.8%
4 107
 
3.9%
6 67
 
2.5%
5 64
 
2.4%
7 56
 
2.1%
8 41
 
1.5%
9 38
 
1.4%
Other values (121) 522
19.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 729
26.8%
1 498
18.3%
2 230
 
8.5%
3 159
 
5.8%
4 107
 
3.9%
5 64
 
2.4%
6 67
 
2.5%
7 56
 
2.1%
8 41
 
1.5%
9 38
 
1.4%
ValueCountFrequency (%)
6251 1
< 0.1%
2362 1
< 0.1%
1994 1
< 0.1%
1428 1
< 0.1%
1385 1
< 0.1%
769 1
< 0.1%
668 1
< 0.1%
519 1
< 0.1%
487 1
< 0.1%
462 1
< 0.1%

2017-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct118
Distinct (%)4.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.329749
Minimum0
Maximum5226
Zeros796
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:38.829422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile39
Maximum5226
Range5226
Interquartile range (IQR)5

Descriptive statistics

Standard deviation125.18739
Coefficient of variation (CV)9.3915788
Kurtosis1247.0835
Mean13.329749
Median Absolute Deviation (MAD)1
Skewness32.301641
Sum33471
Variance15671.882
MonotonicityNot monotonic
2024-04-06T18:02:39.105396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 796
29.3%
1 555
20.4%
2 223
 
8.2%
3 138
 
5.1%
4 93
 
3.4%
5 82
 
3.0%
8 63
 
2.3%
7 56
 
2.1%
6 48
 
1.8%
9 46
 
1.7%
Other values (108) 411
15.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 796
29.3%
1 555
20.4%
2 223
 
8.2%
3 138
 
5.1%
4 93
 
3.4%
5 82
 
3.0%
6 48
 
1.8%
7 56
 
2.1%
8 63
 
2.3%
9 46
 
1.7%
ValueCountFrequency (%)
5226 1
< 0.1%
2027 1
< 0.1%
1857 1
< 0.1%
1093 1
< 0.1%
974 1
< 0.1%
614 1
< 0.1%
412 1
< 0.1%
399 1
< 0.1%
376 1
< 0.1%
363 1
< 0.1%

2017-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct128
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.582238
Minimum0
Maximum5926
Zeros720
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:39.343246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile43
Maximum5926
Range5926
Interquartile range (IQR)7

Descriptive statistics

Standard deviation141.25088
Coefficient of variation (CV)9.0648647
Kurtosis1262.6761
Mean15.582238
Median Absolute Deviation (MAD)1
Skewness32.380408
Sum39127
Variance19951.811
MonotonicityNot monotonic
2024-04-06T18:02:39.731987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 720
26.5%
1 545
20.1%
2 216
 
7.9%
3 151
 
5.6%
4 99
 
3.6%
5 84
 
3.1%
6 63
 
2.3%
9 53
 
1.9%
7 48
 
1.8%
10 41
 
1.5%
Other values (118) 491
18.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 720
26.5%
1 545
20.1%
2 216
 
7.9%
3 151
 
5.6%
4 99
 
3.6%
5 84
 
3.1%
6 63
 
2.3%
7 48
 
1.8%
8 36
 
1.3%
9 53
 
1.9%
ValueCountFrequency (%)
5926 1
< 0.1%
2219 1
< 0.1%
1873 1
< 0.1%
1315 1
< 0.1%
1267 1
< 0.1%
666 1
< 0.1%
525 1
< 0.1%
498 1
< 0.1%
491 1
< 0.1%
439 1
< 0.1%

2017-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct133
Distinct (%)5.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.517722
Minimum0
Maximum5735
Zeros727
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:40.011824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile47.5
Maximum5735
Range5735
Interquartile range (IQR)7

Descriptive statistics

Standard deviation138.61665
Coefficient of variation (CV)8.9327963
Kurtosis1199.8687
Mean15.517722
Median Absolute Deviation (MAD)1
Skewness31.457582
Sum38965
Variance19214.576
MonotonicityNot monotonic
2024-04-06T18:02:40.271906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 727
26.7%
1 553
20.3%
2 227
 
8.4%
3 133
 
4.9%
4 93
 
3.4%
7 70
 
2.6%
5 67
 
2.5%
6 55
 
2.0%
8 51
 
1.9%
9 47
 
1.7%
Other values (123) 488
18.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 727
26.7%
1 553
20.3%
2 227
 
8.4%
3 133
 
4.9%
4 93
 
3.4%
5 67
 
2.5%
6 55
 
2.0%
7 70
 
2.6%
8 51
 
1.9%
9 47
 
1.7%
ValueCountFrequency (%)
5735 1
< 0.1%
2210 1
< 0.1%
1831 1
< 0.1%
1461 1
< 0.1%
1315 1
< 0.1%
741 1
< 0.1%
642 1
< 0.1%
491 1
< 0.1%
420 1
< 0.1%
410 1
< 0.1%

2018-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct139
Distinct (%)5.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.751493
Minimum0
Maximum6709
Zeros762
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:40.515977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile51
Maximum6709
Range6709
Interquartile range (IQR)7

Descriptive statistics

Standard deviation157.33726
Coefficient of variation (CV)9.3924319
Kurtosis1339.7407
Mean16.751493
Median Absolute Deviation (MAD)1
Skewness33.476607
Sum42063
Variance24755.014
MonotonicityNot monotonic
2024-04-06T18:02:40.806662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 762
28.0%
1 555
20.4%
2 237
 
8.7%
3 123
 
4.5%
4 88
 
3.2%
5 72
 
2.6%
7 57
 
2.1%
8 51
 
1.9%
6 44
 
1.6%
9 36
 
1.3%
Other values (129) 486
17.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 762
28.0%
1 555
20.4%
2 237
 
8.7%
3 123
 
4.5%
4 88
 
3.2%
5 72
 
2.6%
6 44
 
1.6%
7 57
 
2.1%
8 51
 
1.9%
9 36
 
1.3%
ValueCountFrequency (%)
6709 1
< 0.1%
2437 1
< 0.1%
1917 1
< 0.1%
1525 1
< 0.1%
1060 1
< 0.1%
760 1
< 0.1%
716 1
< 0.1%
551 1
< 0.1%
490 1
< 0.1%
473 1
< 0.1%

2018-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct122
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.192354
Minimum0
Maximum5538
Zeros824
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:41.054928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile40
Maximum5538
Range5538
Interquartile range (IQR)6

Descriptive statistics

Standard deviation131.62083
Coefficient of variation (CV)9.2740664
Kurtosis1277.7971
Mean14.192354
Median Absolute Deviation (MAD)1
Skewness32.622932
Sum35637
Variance17324.043
MonotonicityNot monotonic
2024-04-06T18:02:41.289371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 824
30.3%
1 561
20.6%
2 199
 
7.3%
3 129
 
4.7%
4 91
 
3.3%
5 67
 
2.5%
6 54
 
2.0%
8 53
 
1.9%
7 51
 
1.9%
9 36
 
1.3%
Other values (112) 446
16.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 824
30.3%
1 561
20.6%
2 199
 
7.3%
3 129
 
4.7%
4 91
 
3.3%
5 67
 
2.5%
6 54
 
2.0%
7 51
 
1.9%
8 53
 
1.9%
9 36
 
1.3%
ValueCountFrequency (%)
5538 1
< 0.1%
2080 1
< 0.1%
1791 1
< 0.1%
1232 1
< 0.1%
904 1
< 0.1%
703 1
< 0.1%
585 1
< 0.1%
476 1
< 0.1%
414 1
< 0.1%
387 1
< 0.1%

2018-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct140
Distinct (%)5.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean17.85902
Minimum0
Maximum6655
Zeros675
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:41.575473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile48.5
Maximum6655
Range6655
Interquartile range (IQR)8

Descriptive statistics

Standard deviation160.83434
Coefficient of variation (CV)9.0057763
Kurtosis1203.0527
Mean17.85902
Median Absolute Deviation (MAD)2
Skewness31.540243
Sum44844
Variance25867.685
MonotonicityNot monotonic
2024-04-06T18:02:41.822974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 675
24.8%
1 537
19.8%
2 245
 
9.0%
3 126
 
4.6%
4 97
 
3.6%
5 76
 
2.8%
6 61
 
2.2%
7 57
 
2.1%
10 47
 
1.7%
8 45
 
1.7%
Other values (130) 545
20.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 675
24.8%
1 537
19.8%
2 245
 
9.0%
3 126
 
4.6%
4 97
 
3.6%
5 76
 
2.8%
6 61
 
2.2%
7 57
 
2.1%
8 45
 
1.7%
9 37
 
1.4%
ValueCountFrequency (%)
6655 1
< 0.1%
2598 1
< 0.1%
2269 1
< 0.1%
1591 1
< 0.1%
1334 1
< 0.1%
779 1
< 0.1%
753 1
< 0.1%
573 1
< 0.1%
563 1
< 0.1%
548 1
< 0.1%

2018-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct118
Distinct (%)4.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.645958
Minimum0
Maximum4970
Zeros770
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:42.061505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35
Maximum4970
Range4970
Interquartile range (IQR)6

Descriptive statistics

Standard deviation121.43873
Coefficient of variation (CV)8.8992453
Kurtosis1161.3242
Mean13.645958
Median Absolute Deviation (MAD)1
Skewness31.006379
Sum34265
Variance14747.364
MonotonicityNot monotonic
2024-04-06T18:02:42.314263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 770
28.3%
1 520
19.1%
2 235
 
8.6%
3 153
 
5.6%
4 94
 
3.5%
6 73
 
2.7%
5 63
 
2.3%
9 56
 
2.1%
8 53
 
1.9%
7 53
 
1.9%
Other values (108) 441
16.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 770
28.3%
1 520
19.1%
2 235
 
8.6%
3 153
 
5.6%
4 94
 
3.5%
5 63
 
2.3%
6 73
 
2.7%
7 53
 
1.9%
8 53
 
1.9%
9 56
 
2.1%
ValueCountFrequency (%)
4970 1
< 0.1%
2097 1
< 0.1%
1707 1
< 0.1%
1157 1
< 0.1%
1132 1
< 0.1%
606 1
< 0.1%
403 1
< 0.1%
391 1
< 0.1%
388 1
< 0.1%
374 1
< 0.1%

2018-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct127
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.819196
Minimum0
Maximum5143
Zeros755
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:42.561822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile39.5
Maximum5143
Range5143
Interquartile range (IQR)6

Descriptive statistics

Standard deviation125.22798
Coefficient of variation (CV)9.0618862
Kurtosis1175.9002
Mean13.819196
Median Absolute Deviation (MAD)1
Skewness31.219964
Sum34700
Variance15682.046
MonotonicityNot monotonic
2024-04-06T18:02:42.828160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 755
27.8%
1 552
20.3%
2 235
 
8.6%
3 147
 
5.4%
4 108
 
4.0%
5 71
 
2.6%
6 59
 
2.2%
8 51
 
1.9%
7 51
 
1.9%
10 38
 
1.4%
Other values (117) 444
16.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 755
27.8%
1 552
20.3%
2 235
 
8.6%
3 147
 
5.4%
4 108
 
4.0%
5 71
 
2.6%
6 59
 
2.2%
7 51
 
1.9%
8 51
 
1.9%
9 37
 
1.4%
ValueCountFrequency (%)
5143 1
< 0.1%
2143 1
< 0.1%
1779 1
< 0.1%
1171 1
< 0.1%
1119 1
< 0.1%
544 1
< 0.1%
490 1
< 0.1%
400 1
< 0.1%
388 1
< 0.1%
378 1
< 0.1%

2018-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct123
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.710872
Minimum0
Maximum5258
Zeros813
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:43.069708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile41.5
Maximum5258
Range5258
Interquartile range (IQR)5

Descriptive statistics

Standard deviation126.81923
Coefficient of variation (CV)9.249538
Kurtosis1216.9442
Mean13.710872
Median Absolute Deviation (MAD)1
Skewness31.869967
Sum34428
Variance16083.118
MonotonicityNot monotonic
2024-04-06T18:02:43.329729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 813
29.9%
1 536
19.7%
2 236
 
8.7%
3 140
 
5.2%
4 99
 
3.6%
6 66
 
2.4%
5 62
 
2.3%
7 60
 
2.2%
8 44
 
1.6%
10 42
 
1.5%
Other values (113) 413
15.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 813
29.9%
1 536
19.7%
2 236
 
8.7%
3 140
 
5.2%
4 99
 
3.6%
5 62
 
2.3%
6 66
 
2.4%
7 60
 
2.2%
8 44
 
1.6%
9 28
 
1.0%
ValueCountFrequency (%)
5258 1
< 0.1%
2058 1
< 0.1%
1908 1
< 0.1%
1157 1
< 0.1%
1127 1
< 0.1%
509 1
< 0.1%
372 1
< 0.1%
353 1
< 0.1%
350 1
< 0.1%
344 1
< 0.1%

2018-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct123
Distinct (%)4.9%
Missing198
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean14.028175
Minimum0
Maximum5304
Zeros785
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:43.595812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile39
Maximum5304
Range5304
Interquartile range (IQR)6

Descriptive statistics

Standard deviation128.76793
Coefficient of variation (CV)9.1792367
Kurtosis1184.3031
Mean14.028175
Median Absolute Deviation (MAD)1
Skewness31.327459
Sum35351
Variance16581.181
MonotonicityNot monotonic
2024-04-06T18:02:43.835295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 785
28.9%
1 587
21.6%
2 217
 
8.0%
3 129
 
4.7%
4 93
 
3.4%
5 68
 
2.5%
8 58
 
2.1%
7 56
 
2.1%
6 47
 
1.7%
10 43
 
1.6%
Other values (113) 437
16.1%
(Missing) 198
 
7.3%
ValueCountFrequency (%)
0 785
28.9%
1 587
21.6%
2 217
 
8.0%
3 129
 
4.7%
4 93
 
3.4%
5 68
 
2.5%
6 47
 
1.7%
7 56
 
2.1%
8 58
 
2.1%
9 41
 
1.5%
ValueCountFrequency (%)
5304 1
< 0.1%
2072 1
< 0.1%
2013 1
< 0.1%
1184 1
< 0.1%
1015 1
< 0.1%
628 1
< 0.1%
564 1
< 0.1%
519 1
< 0.1%
426 1
< 0.1%
419 1
< 0.1%

2018-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct119
Distinct (%)4.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.188769
Minimum0
Maximum4881
Zeros809
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:44.049062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile39
Maximum4881
Range4881
Interquartile range (IQR)6

Descriptive statistics

Standard deviation120.57096
Coefficient of variation (CV)9.1419419
Kurtosis1122.9669
Mean13.188769
Median Absolute Deviation (MAD)1
Skewness30.551403
Sum33117
Variance14537.357
MonotonicityNot monotonic
2024-04-06T18:02:44.304593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 809
29.8%
1 564
20.8%
2 230
 
8.5%
3 137
 
5.0%
4 71
 
2.6%
5 63
 
2.3%
6 61
 
2.2%
7 50
 
1.8%
8 50
 
1.8%
10 39
 
1.4%
Other values (109) 437
16.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 809
29.8%
1 564
20.8%
2 230
 
8.5%
3 137
 
5.0%
4 71
 
2.6%
5 63
 
2.3%
6 61
 
2.2%
7 50
 
1.8%
8 50
 
1.8%
9 37
 
1.4%
ValueCountFrequency (%)
4881 1
< 0.1%
2072 1
< 0.1%
1935 1
< 0.1%
1090 1
< 0.1%
989 1
< 0.1%
756 1
< 0.1%
507 1
< 0.1%
499 1
< 0.1%
406 1
< 0.1%
372 1
< 0.1%

2018-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct121
Distinct (%)4.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.066906
Minimum0
Maximum5349
Zeros884
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:44.963824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35.5
95-th percentile40
Maximum5349
Range5349
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation130.64872
Coefficient of variation (CV)9.2876661
Kurtosis1164.5668
Mean14.066906
Median Absolute Deviation (MAD)1
Skewness31.091447
Sum35322
Variance17069.089
MonotonicityNot monotonic
2024-04-06T18:02:45.297680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 884
32.5%
1 515
18.9%
2 191
 
7.0%
3 134
 
4.9%
4 103
 
3.8%
6 59
 
2.2%
5 56
 
2.1%
7 54
 
2.0%
8 40
 
1.5%
9 33
 
1.2%
Other values (111) 442
16.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 884
32.5%
1 515
18.9%
2 191
 
7.0%
3 134
 
4.9%
4 103
 
3.8%
5 56
 
2.1%
6 59
 
2.2%
7 54
 
2.0%
8 40
 
1.5%
9 33
 
1.2%
ValueCountFrequency (%)
5349 1
< 0.1%
2168 1
< 0.1%
2038 1
< 0.1%
1199 1
< 0.1%
904 1
< 0.1%
809 1
< 0.1%
727 1
< 0.1%
467 1
< 0.1%
454 1
< 0.1%
444 1
< 0.1%

2018-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct129
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.491039
Minimum0
Maximum5835
Zeros737
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:45.505186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile47
Maximum5835
Range5835
Interquartile range (IQR)7

Descriptive statistics

Standard deviation145.93183
Coefficient of variation (CV)8.8491589
Kurtosis1072.8415
Mean16.491039
Median Absolute Deviation (MAD)2
Skewness29.735
Sum41409
Variance21296.099
MonotonicityNot monotonic
2024-04-06T18:02:45.747667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 737
27.1%
1 516
19.0%
2 233
 
8.6%
3 148
 
5.4%
4 90
 
3.3%
5 81
 
3.0%
6 62
 
2.3%
8 54
 
2.0%
7 44
 
1.6%
10 38
 
1.4%
Other values (119) 508
18.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 737
27.1%
1 516
19.0%
2 233
 
8.6%
3 148
 
5.4%
4 90
 
3.3%
5 81
 
3.0%
6 62
 
2.3%
7 44
 
1.6%
8 54
 
2.0%
9 30
 
1.1%
ValueCountFrequency (%)
5835 1
< 0.1%
2546 1
< 0.1%
2279 1
< 0.1%
1535 1
< 0.1%
1193 1
< 0.1%
935 1
< 0.1%
661 1
< 0.1%
561 1
< 0.1%
515 1
< 0.1%
475 1
< 0.1%

2018-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct124
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.356432
Minimum0
Maximum4870
Zeros773
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:46.008554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile41.5
Maximum4870
Range4870
Interquartile range (IQR)6

Descriptive statistics

Standard deviation118.41565
Coefficient of variation (CV)8.8658148
Kurtosis1178.222
Mean13.356432
Median Absolute Deviation (MAD)1
Skewness31.181689
Sum33538
Variance14022.266
MonotonicityNot monotonic
2024-04-06T18:02:46.246053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 773
28.4%
1 585
21.5%
2 228
 
8.4%
3 149
 
5.5%
4 82
 
3.0%
5 65
 
2.4%
7 58
 
2.1%
6 57
 
2.1%
8 51
 
1.9%
9 44
 
1.6%
Other values (114) 419
15.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 773
28.4%
1 585
21.5%
2 228
 
8.4%
3 149
 
5.5%
4 82
 
3.0%
5 65
 
2.4%
6 57
 
2.1%
7 58
 
2.1%
8 51
 
1.9%
9 44
 
1.6%
ValueCountFrequency (%)
4870 1
< 0.1%
1995 1
< 0.1%
1609 1
< 0.1%
1178 1
< 0.1%
1055 1
< 0.1%
649 1
< 0.1%
408 1
< 0.1%
396 1
< 0.1%
353 1
< 0.1%
340 1
< 0.1%

2018-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct113
Distinct (%)4.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.66587
Minimum0
Maximum4256
Zeros804
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:46.472434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile37
Maximum4256
Range4256
Interquartile range (IQR)5

Descriptive statistics

Standard deviation102.94007
Coefficient of variation (CV)8.8240368
Kurtosis1203.6106
Mean11.66587
Median Absolute Deviation (MAD)1
Skewness31.578297
Sum29293
Variance10596.658
MonotonicityNot monotonic
2024-04-06T18:02:46.743479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 804
29.6%
1 597
22.0%
2 218
 
8.0%
3 141
 
5.2%
4 94
 
3.5%
5 72
 
2.6%
6 66
 
2.4%
7 50
 
1.8%
9 44
 
1.6%
8 39
 
1.4%
Other values (103) 386
14.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 804
29.6%
1 597
22.0%
2 218
 
8.0%
3 141
 
5.2%
4 94
 
3.5%
5 72
 
2.6%
6 66
 
2.4%
7 50
 
1.8%
8 39
 
1.4%
9 44
 
1.6%
ValueCountFrequency (%)
4256 1
< 0.1%
1824 1
< 0.1%
1181 1
< 0.1%
1108 1
< 0.1%
835 1
< 0.1%
577 1
< 0.1%
371 1
< 0.1%
350 1
< 0.1%
331 1
< 0.1%
308 1
< 0.1%

2019-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct113
Distinct (%)4.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.610115
Minimum0
Maximum4683
Zeros851
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:46.944518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32
Maximum4683
Range4683
Interquartile range (IQR)5

Descriptive statistics

Standard deviation110.41515
Coefficient of variation (CV)9.5102541
Kurtosis1317.2175
Mean11.610115
Median Absolute Deviation (MAD)1
Skewness33.229466
Sum29153
Variance12191.505
MonotonicityNot monotonic
2024-04-06T18:02:47.215959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 851
31.3%
1 576
21.2%
2 234
 
8.6%
3 134
 
4.9%
4 85
 
3.1%
5 73
 
2.7%
6 54
 
2.0%
8 50
 
1.8%
7 42
 
1.5%
9 40
 
1.5%
Other values (103) 372
13.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 851
31.3%
1 576
21.2%
2 234
 
8.6%
3 134
 
4.9%
4 85
 
3.1%
5 73
 
2.7%
6 54
 
2.0%
7 42
 
1.5%
8 50
 
1.8%
9 40
 
1.5%
ValueCountFrequency (%)
4683 1
< 0.1%
1749 1
< 0.1%
1494 1
< 0.1%
865 1
< 0.1%
855 1
< 0.1%
557 1
< 0.1%
356 1
< 0.1%
339 1
< 0.1%
334 1
< 0.1%
330 1
< 0.1%

2019-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct109
Distinct (%)4.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean9.9904421
Minimum0
Maximum4156
Zeros946
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:47.484674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26.5
Maximum4156
Range4156
Interquartile range (IQR)4

Descriptive statistics

Standard deviation97.751734
Coefficient of variation (CV)9.7845254
Kurtosis1328.6508
Mean9.9904421
Median Absolute Deviation (MAD)1
Skewness33.387296
Sum25086
Variance9555.4015
MonotonicityNot monotonic
2024-04-06T18:02:47.709061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 946
34.8%
1 570
21.0%
2 223
 
8.2%
3 125
 
4.6%
4 97
 
3.6%
5 70
 
2.6%
6 60
 
2.2%
8 49
 
1.8%
7 36
 
1.3%
10 27
 
1.0%
Other values (99) 308
 
11.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 946
34.8%
1 570
21.0%
2 223
 
8.2%
3 125
 
4.6%
4 97
 
3.6%
5 70
 
2.6%
6 60
 
2.2%
7 36
 
1.3%
8 49
 
1.8%
9 25
 
0.9%
ValueCountFrequency (%)
4156 1
< 0.1%
1457 1
< 0.1%
1424 1
< 0.1%
730 1
< 0.1%
629 1
< 0.1%
538 1
< 0.1%
478 1
< 0.1%
381 1
< 0.1%
295 1
< 0.1%
286 1
< 0.1%

2019-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct122
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.813222
Minimum0
Maximum4759
Zeros853
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:47.936622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile31
Maximum4759
Range4759
Interquartile range (IQR)4

Descriptive statistics

Standard deviation112.60823
Coefficient of variation (CV)9.5323893
Kurtosis1298.6321
Mean11.813222
Median Absolute Deviation (MAD)1
Skewness32.924736
Sum29663
Variance12680.613
MonotonicityNot monotonic
2024-04-06T18:02:48.217711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 853
31.4%
1 568
20.9%
2 237
 
8.7%
3 131
 
4.8%
4 110
 
4.0%
5 73
 
2.7%
6 57
 
2.1%
7 55
 
2.0%
8 36
 
1.3%
9 32
 
1.2%
Other values (112) 359
13.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 853
31.4%
1 568
20.9%
2 237
 
8.7%
3 131
 
4.8%
4 110
 
4.0%
5 73
 
2.7%
6 57
 
2.1%
7 55
 
2.0%
8 36
 
1.3%
9 32
 
1.2%
ValueCountFrequency (%)
4759 1
< 0.1%
1724 1
< 0.1%
1589 1
< 0.1%
960 1
< 0.1%
808 1
< 0.1%
528 1
< 0.1%
482 1
< 0.1%
442 1
< 0.1%
377 1
< 0.1%
339 1
< 0.1%

2019-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct114
Distinct (%)4.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.950219
Minimum0
Maximum4807
Zeros821
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:48.482852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32.5
Maximum4807
Range4807
Interquartile range (IQR)5

Descriptive statistics

Standard deviation113.05902
Coefficient of variation (CV)9.4608322
Kurtosis1326.716
Mean11.950219
Median Absolute Deviation (MAD)1
Skewness33.323418
Sum30007
Variance12782.341
MonotonicityNot monotonic
2024-04-06T18:02:48.729887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 821
30.2%
1 587
21.6%
2 233
 
8.6%
3 146
 
5.4%
4 84
 
3.1%
5 69
 
2.5%
6 63
 
2.3%
7 50
 
1.8%
8 48
 
1.8%
9 42
 
1.5%
Other values (104) 368
13.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 821
30.2%
1 587
21.6%
2 233
 
8.6%
3 146
 
5.4%
4 84
 
3.1%
5 69
 
2.5%
6 63
 
2.3%
7 50
 
1.8%
8 48
 
1.8%
9 42
 
1.5%
ValueCountFrequency (%)
4807 1
< 0.1%
1711 1
< 0.1%
1539 1
< 0.1%
990 1
< 0.1%
856 1
< 0.1%
491 1
< 0.1%
393 1
< 0.1%
391 1
< 0.1%
381 1
< 0.1%
318 1
< 0.1%

2019-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct113
Distinct (%)4.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.206292
Minimum0
Maximum4197
Zeros798
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:48.996036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32
Maximum4197
Range4197
Interquartile range (IQR)5

Descriptive statistics

Standard deviation101.15294
Coefficient of variation (CV)9.0264415
Kurtosis1216.8336
Mean11.206292
Median Absolute Deviation (MAD)1
Skewness31.78115
Sum28139
Variance10231.918
MonotonicityNot monotonic
2024-04-06T18:02:49.253165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 798
29.4%
1 622
22.9%
2 230
 
8.5%
3 131
 
4.8%
4 86
 
3.2%
5 69
 
2.5%
7 65
 
2.4%
6 62
 
2.3%
8 48
 
1.8%
9 34
 
1.3%
Other values (103) 366
13.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 798
29.4%
1 622
22.9%
2 230
 
8.5%
3 131
 
4.8%
4 86
 
3.2%
5 69
 
2.5%
6 62
 
2.3%
7 65
 
2.4%
8 48
 
1.8%
9 34
 
1.3%
ValueCountFrequency (%)
4197 1
< 0.1%
1668 1
< 0.1%
1403 1
< 0.1%
959 1
< 0.1%
882 1
< 0.1%
514 1
< 0.1%
323 1
< 0.1%
309 1
< 0.1%
301 1
< 0.1%
298 1
< 0.1%

2019-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct110
Distinct (%)4.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean10.588212
Minimum0
Maximum3973
Zeros880
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:49.526836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile29
Maximum3973
Range3973
Interquartile range (IQR)4

Descriptive statistics

Standard deviation96.089932
Coefficient of variation (CV)9.0751803
Kurtosis1201.8609
Mean10.588212
Median Absolute Deviation (MAD)1
Skewness31.531547
Sum26587
Variance9233.275
MonotonicityNot monotonic
2024-04-06T18:02:49.789071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 880
32.4%
1 575
21.2%
2 214
 
7.9%
3 144
 
5.3%
5 75
 
2.8%
6 72
 
2.6%
4 71
 
2.6%
7 49
 
1.8%
8 38
 
1.4%
9 38
 
1.4%
Other values (100) 355
13.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 880
32.4%
1 575
21.2%
2 214
 
7.9%
3 144
 
5.3%
4 71
 
2.6%
5 75
 
2.8%
6 72
 
2.6%
7 49
 
1.8%
8 38
 
1.4%
9 38
 
1.4%
ValueCountFrequency (%)
3973 1
< 0.1%
1640 1
< 0.1%
1262 1
< 0.1%
909 1
< 0.1%
800 1
< 0.1%
516 1
< 0.1%
381 1
< 0.1%
363 1
< 0.1%
339 1
< 0.1%
311 1
< 0.1%

2019-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct122
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.412585
Minimum0
Maximum5175
Zeros808
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:50.115650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile39
Maximum5175
Range5175
Interquartile range (IQR)5

Descriptive statistics

Standard deviation123.81396
Coefficient of variation (CV)9.2311783
Kurtosis1247.0899
Mean13.412585
Median Absolute Deviation (MAD)1
Skewness32.179509
Sum33679
Variance15329.897
MonotonicityNot monotonic
2024-04-06T18:02:50.361641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 808
29.7%
1 537
19.8%
2 254
 
9.3%
3 137
 
5.0%
4 103
 
3.8%
5 71
 
2.6%
6 60
 
2.2%
7 52
 
1.9%
8 43
 
1.6%
10 35
 
1.3%
Other values (112) 411
15.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 808
29.7%
1 537
19.8%
2 254
 
9.3%
3 137
 
5.0%
4 103
 
3.8%
5 71
 
2.6%
6 60
 
2.2%
7 52
 
1.9%
8 43
 
1.6%
9 27
 
1.0%
ValueCountFrequency (%)
5175 1
< 0.1%
1975 1
< 0.1%
1663 1
< 0.1%
1281 1
< 0.1%
908 1
< 0.1%
652 1
< 0.1%
564 1
< 0.1%
434 1
< 0.1%
402 1
< 0.1%
349 2
0.1%

2019-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct120
Distinct (%)4.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.308244
Minimum0
Maximum5333
Zeros815
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:50.600586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile39
Maximum5333
Range5333
Interquartile range (IQR)5

Descriptive statistics

Standard deviation126.43011
Coefficient of variation (CV)9.5001346
Kurtosis1292.2601
Mean13.308244
Median Absolute Deviation (MAD)1
Skewness32.884796
Sum33417
Variance15984.572
MonotonicityNot monotonic
2024-04-06T18:02:50.853496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 815
30.0%
1 591
21.7%
2 237
 
8.7%
3 125
 
4.6%
4 87
 
3.2%
5 81
 
3.0%
7 52
 
1.9%
6 51
 
1.9%
9 40
 
1.5%
8 37
 
1.4%
Other values (110) 395
14.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 815
30.0%
1 591
21.7%
2 237
 
8.7%
3 125
 
4.6%
4 87
 
3.2%
5 81
 
3.0%
6 51
 
1.9%
7 52
 
1.9%
8 37
 
1.4%
9 40
 
1.5%
ValueCountFrequency (%)
5333 1
< 0.1%
2039 1
< 0.1%
1737 1
< 0.1%
1076 1
< 0.1%
831 1
< 0.1%
736 1
< 0.1%
512 1
< 0.1%
411 1
< 0.1%
380 1
< 0.1%
375 1
< 0.1%

2019-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean12.667861
Minimum0
Maximum5105
Zeros892
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:51.110095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile36
Maximum5105
Range5105
Interquartile range (IQR)5

Descriptive statistics

Standard deviation120.06553
Coefficient of variation (CV)9.4779638
Kurtosis1327.982
Mean12.667861
Median Absolute Deviation (MAD)1
Skewness33.332638
Sum31809
Variance14415.732
MonotonicityNot monotonic
2024-04-06T18:02:51.364529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 892
32.8%
1 536
19.7%
2 213
 
7.8%
3 139
 
5.1%
4 86
 
3.2%
5 66
 
2.4%
7 57
 
2.1%
6 51
 
1.9%
8 50
 
1.8%
10 31
 
1.1%
Other values (106) 390
14.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 892
32.8%
1 536
19.7%
2 213
 
7.8%
3 139
 
5.1%
4 86
 
3.2%
5 66
 
2.4%
6 51
 
1.9%
7 57
 
2.1%
8 50
 
1.8%
9 26
 
1.0%
ValueCountFrequency (%)
5105 1
< 0.1%
1949 1
< 0.1%
1437 1
< 0.1%
1061 1
< 0.1%
795 1
< 0.1%
645 1
< 0.1%
504 1
< 0.1%
470 1
< 0.1%
438 1
< 0.1%
420 1
< 0.1%

2019-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct128
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.495818
Minimum0
Maximum5523
Zeros769
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:51.592804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile41
Maximum5523
Range5523
Interquartile range (IQR)6

Descriptive statistics

Standard deviation135.35099
Coefficient of variation (CV)9.3372438
Kurtosis1157.7296
Mean14.495818
Median Absolute Deviation (MAD)1
Skewness31.10804
Sum36399
Variance18319.891
MonotonicityNot monotonic
2024-04-06T18:02:51.847988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 769
28.3%
1 552
20.3%
2 232
 
8.5%
3 139
 
5.1%
4 95
 
3.5%
5 91
 
3.3%
7 52
 
1.9%
6 52
 
1.9%
8 45
 
1.7%
9 39
 
1.4%
Other values (118) 445
16.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 769
28.3%
1 552
20.3%
2 232
 
8.5%
3 139
 
5.1%
4 95
 
3.5%
5 91
 
3.3%
6 52
 
1.9%
7 52
 
1.9%
8 45
 
1.7%
9 39
 
1.4%
ValueCountFrequency (%)
5523 1
< 0.1%
2450 1
< 0.1%
2001 1
< 0.1%
1283 1
< 0.1%
897 1
< 0.1%
869 1
< 0.1%
538 1
< 0.1%
448 1
< 0.1%
443 1
< 0.1%
390 1
< 0.1%

2019-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct128
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.803664
Minimum0
Maximum6021
Zeros779
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:52.523568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile47
Maximum6021
Range6021
Interquartile range (IQR)6

Descriptive statistics

Standard deviation144.9422
Coefficient of variation (CV)9.1714301
Kurtosis1221.6092
Mean15.803664
Median Absolute Deviation (MAD)1
Skewness31.852946
Sum39683
Variance21008.241
MonotonicityNot monotonic
2024-04-06T18:02:52.776688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 779
28.7%
1 525
19.3%
2 218
 
8.0%
3 133
 
4.9%
4 98
 
3.6%
5 75
 
2.8%
6 58
 
2.1%
8 57
 
2.1%
7 40
 
1.5%
9 38
 
1.4%
Other values (118) 490
18.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 779
28.7%
1 525
19.3%
2 218
 
8.0%
3 133
 
4.9%
4 98
 
3.6%
5 75
 
2.8%
6 58
 
2.1%
7 40
 
1.5%
8 57
 
2.1%
9 38
 
1.4%
ValueCountFrequency (%)
6021 1
< 0.1%
2355 1
< 0.1%
2001 1
< 0.1%
1560 1
< 0.1%
1010 1
< 0.1%
753 1
< 0.1%
605 1
< 0.1%
562 1
< 0.1%
501 1
< 0.1%
443 1
< 0.1%

2019-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct147
Distinct (%)5.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean19.096774
Minimum0
Maximum7020
Zeros663
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:53.013193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile58.5
Maximum7020
Range7020
Interquartile range (IQR)8

Descriptive statistics

Standard deviation168.31221
Coefficient of variation (CV)8.8136462
Kurtosis1237.0009
Mean19.096774
Median Absolute Deviation (MAD)2
Skewness31.989524
Sum47952
Variance28329.001
MonotonicityNot monotonic
2024-04-06T18:02:53.290188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 663
24.4%
1 542
19.9%
2 230
 
8.5%
3 140
 
5.2%
4 93
 
3.4%
5 74
 
2.7%
6 68
 
2.5%
9 58
 
2.1%
8 43
 
1.6%
7 37
 
1.4%
Other values (137) 563
20.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 663
24.4%
1 542
19.9%
2 230
 
8.5%
3 140
 
5.2%
4 93
 
3.4%
5 74
 
2.7%
6 68
 
2.5%
7 37
 
1.4%
8 43
 
1.6%
9 58
 
2.1%
ValueCountFrequency (%)
7020 1
< 0.1%
2814 1
< 0.1%
1904 1
< 0.1%
1865 1
< 0.1%
1332 1
< 0.1%
818 1
< 0.1%
787 1
< 0.1%
674 1
< 0.1%
551 1
< 0.1%
511 1
< 0.1%

2020-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct130
Distinct (%)5.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean16.924333
Minimum0
Maximum6556
Zeros759
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:53.546001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile47
Maximum6556
Range6556
Interquartile range (IQR)7

Descriptive statistics

Standard deviation156.19806
Coefficient of variation (CV)9.2292001
Kurtosis1264.0401
Mean16.924333
Median Absolute Deviation (MAD)1
Skewness32.325497
Sum42497
Variance24397.833
MonotonicityNot monotonic
2024-04-06T18:02:53.758422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 759
27.9%
1 517
19.0%
2 237
 
8.7%
3 126
 
4.6%
4 86
 
3.2%
5 79
 
2.9%
6 58
 
2.1%
7 56
 
2.1%
8 55
 
2.0%
10 41
 
1.5%
Other values (120) 497
18.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 759
27.9%
1 517
19.0%
2 237
 
8.7%
3 126
 
4.6%
4 86
 
3.2%
5 79
 
2.9%
6 58
 
2.1%
7 56
 
2.1%
8 55
 
2.0%
9 34
 
1.3%
ValueCountFrequency (%)
6556 1
< 0.1%
2586 1
< 0.1%
1670 1
< 0.1%
1548 1
< 0.1%
1137 1
< 0.1%
1007 1
< 0.1%
787 1
< 0.1%
768 1
< 0.1%
587 1
< 0.1%
512 2
0.1%

2020-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct147
Distinct (%)5.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean18.717642
Minimum0
Maximum7059
Zeros726
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:54.009226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile50.5
Maximum7059
Range7059
Interquartile range (IQR)7

Descriptive statistics

Standard deviation172.44913
Coefficient of variation (CV)9.2131862
Kurtosis1166.3128
Mean18.717642
Median Absolute Deviation (MAD)2
Skewness31.156528
Sum47000
Variance29738.701
MonotonicityNot monotonic
2024-04-06T18:02:54.275409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 726
26.7%
1 519
19.1%
2 235
 
8.6%
3 148
 
5.4%
4 81
 
3.0%
5 74
 
2.7%
6 71
 
2.6%
7 46
 
1.7%
10 41
 
1.5%
8 41
 
1.5%
Other values (137) 529
19.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 726
26.7%
1 519
19.1%
2 235
 
8.6%
3 148
 
5.4%
4 81
 
3.0%
5 74
 
2.7%
6 71
 
2.6%
7 46
 
1.7%
8 41
 
1.5%
9 33
 
1.2%
ValueCountFrequency (%)
7059 1
< 0.1%
3028 1
< 0.1%
2491 1
< 0.1%
1823 1
< 0.1%
1047 1
< 0.1%
1020 1
< 0.1%
617 1
< 0.1%
542 1
< 0.1%
541 1
< 0.1%
512 1
< 0.1%

2020-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct125
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.835922
Minimum0
Maximum5562
Zeros726
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:54.574080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile43.5
Maximum5562
Range5562
Interquartile range (IQR)7

Descriptive statistics

Standard deviation140.42385
Coefficient of variation (CV)8.8674248
Kurtosis1046.612
Mean15.835922
Median Absolute Deviation (MAD)1
Skewness29.395699
Sum39764
Variance19718.857
MonotonicityNot monotonic
2024-04-06T18:02:54.831135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 726
26.7%
1 545
20.1%
2 225
 
8.3%
3 145
 
5.3%
4 91
 
3.3%
5 79
 
2.9%
6 59
 
2.2%
7 45
 
1.7%
8 45
 
1.7%
9 44
 
1.6%
Other values (115) 507
18.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 726
26.7%
1 545
20.1%
2 225
 
8.3%
3 145
 
5.3%
4 91
 
3.3%
5 79
 
2.9%
6 59
 
2.2%
7 45
 
1.7%
8 45
 
1.7%
9 44
 
1.6%
ValueCountFrequency (%)
5562 1
< 0.1%
2751 1
< 0.1%
1905 1
< 0.1%
1436 1
< 0.1%
1138 1
< 0.1%
976 1
< 0.1%
695 1
< 0.1%
528 1
< 0.1%
510 1
< 0.1%
507 1
< 0.1%

2020-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct108
Distinct (%)4.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.258065
Minimum0
Maximum3749
Zeros769
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:55.075165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32
Maximum3749
Range3749
Interquartile range (IQR)5

Descriptive statistics

Standard deviation95.885907
Coefficient of variation (CV)8.5170863
Kurtosis1006.2852
Mean11.258065
Median Absolute Deviation (MAD)1
Skewness28.822679
Sum28269
Variance9194.1071
MonotonicityNot monotonic
2024-04-06T18:02:55.321722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 769
28.3%
1 588
21.6%
2 234
 
8.6%
3 144
 
5.3%
4 103
 
3.8%
5 74
 
2.7%
6 64
 
2.4%
8 53
 
1.9%
7 48
 
1.8%
9 38
 
1.4%
Other values (98) 396
14.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 769
28.3%
1 588
21.6%
2 234
 
8.6%
3 144
 
5.3%
4 103
 
3.8%
5 74
 
2.7%
6 64
 
2.4%
7 48
 
1.8%
8 53
 
1.9%
9 38
 
1.4%
ValueCountFrequency (%)
3749 1
< 0.1%
1954 1
< 0.1%
1228 1
< 0.1%
1011 1
< 0.1%
956 1
< 0.1%
617 1
< 0.1%
414 1
< 0.1%
345 1
< 0.1%
330 1
< 0.1%
301 1
< 0.1%

2020-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct119
Distinct (%)4.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.289526
Minimum0
Maximum4638
Zeros739
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:55.561269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile37.5
Maximum4638
Range4638
Interquartile range (IQR)6

Descriptive statistics

Standard deviation115.35905
Coefficient of variation (CV)8.6804489
Kurtosis1109.476
Mean13.289526
Median Absolute Deviation (MAD)1
Skewness30.375587
Sum33370
Variance13307.711
MonotonicityNot monotonic
2024-04-06T18:02:55.799899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 739
27.2%
1 550
20.2%
2 246
 
9.1%
3 152
 
5.6%
4 108
 
4.0%
5 75
 
2.8%
6 66
 
2.4%
8 52
 
1.9%
7 44
 
1.6%
10 40
 
1.5%
Other values (109) 439
16.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 739
27.2%
1 550
20.2%
2 246
 
9.1%
3 152
 
5.6%
4 108
 
4.0%
5 75
 
2.8%
6 66
 
2.4%
7 44
 
1.6%
8 52
 
1.9%
9 36
 
1.3%
ValueCountFrequency (%)
4638 1
< 0.1%
2370 1
< 0.1%
1250 1
< 0.1%
1109 1
< 0.1%
984 1
< 0.1%
689 1
< 0.1%
427 1
< 0.1%
393 1
< 0.1%
365 1
< 0.1%
350 1
< 0.1%

2020-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct145
Distinct (%)5.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean20.377539
Minimum0
Maximum7140
Zeros653
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:56.034650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile61.5
Maximum7140
Range7140
Interquartile range (IQR)9

Descriptive statistics

Standard deviation178.60219
Coefficient of variation (CV)8.7646595
Kurtosis1079.4357
Mean20.377539
Median Absolute Deviation (MAD)2
Skewness29.898806
Sum51168
Variance31898.742
MonotonicityNot monotonic
2024-04-06T18:02:56.309772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 653
24.0%
1 512
18.8%
2 220
 
8.1%
3 155
 
5.7%
4 106
 
3.9%
5 69
 
2.5%
6 60
 
2.2%
8 55
 
2.0%
7 46
 
1.7%
9 45
 
1.7%
Other values (135) 590
21.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 653
24.0%
1 512
18.8%
2 220
 
8.1%
3 155
 
5.7%
4 106
 
3.9%
5 69
 
2.5%
6 60
 
2.2%
7 46
 
1.7%
8 55
 
2.0%
9 45
 
1.7%
ValueCountFrequency (%)
7140 1
< 0.1%
3461 1
< 0.1%
2308 1
< 0.1%
1930 1
< 0.1%
1519 1
< 0.1%
1197 1
< 0.1%
636 1
< 0.1%
613 1
< 0.1%
578 1
< 0.1%
572 1
< 0.1%

2020-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct149
Distinct (%)5.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean22.069295
Minimum0
Maximum7621
Zeros580
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:56.563919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q310
95-th percentile60.5
Maximum7621
Range7621
Interquartile range (IQR)9

Descriptive statistics

Standard deviation190.85863
Coefficient of variation (CV)8.6481524
Kurtosis1078.5563
Mean22.069295
Median Absolute Deviation (MAD)2
Skewness29.868509
Sum55416
Variance36427.016
MonotonicityNot monotonic
2024-04-06T18:02:56.833027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 580
21.3%
1 500
18.4%
2 240
 
8.8%
3 169
 
6.2%
4 106
 
3.9%
5 69
 
2.5%
6 67
 
2.5%
7 52
 
1.9%
8 48
 
1.8%
10 40
 
1.5%
Other values (139) 640
23.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 580
21.3%
1 500
18.4%
2 240
8.8%
3 169
 
6.2%
4 106
 
3.9%
5 69
 
2.5%
6 67
 
2.5%
7 52
 
1.9%
8 48
 
1.8%
9 38
 
1.4%
ValueCountFrequency (%)
7621 1
< 0.1%
3834 1
< 0.1%
2161 1
< 0.1%
2075 1
< 0.1%
1585 1
< 0.1%
1168 1
< 0.1%
883 1
< 0.1%
718 1
< 0.1%
715 1
< 0.1%
665 1
< 0.1%

2020-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct125
Distinct (%)5.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.313023
Minimum0
Maximum4960
Zeros713
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:57.070055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile39.5
Maximum4960
Range4960
Interquartile range (IQR)6

Descriptive statistics

Standard deviation123.92567
Coefficient of variation (CV)8.6582458
Kurtosis1078.8126
Mean14.313023
Median Absolute Deviation (MAD)1
Skewness29.786575
Sum35940
Variance15357.571
MonotonicityNot monotonic
2024-04-06T18:02:57.280856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 713
26.2%
1 568
20.9%
2 238
 
8.8%
3 133
 
4.9%
4 101
 
3.7%
5 92
 
3.4%
6 66
 
2.4%
7 55
 
2.0%
9 37
 
1.4%
8 36
 
1.3%
Other values (115) 472
17.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 713
26.2%
1 568
20.9%
2 238
 
8.8%
3 133
 
4.9%
4 101
 
3.7%
5 92
 
3.4%
6 66
 
2.4%
7 55
 
2.0%
8 36
 
1.3%
9 37
 
1.4%
ValueCountFrequency (%)
4960 1
< 0.1%
2358 1
< 0.1%
1457 1
< 0.1%
1387 1
< 0.1%
1226 1
< 0.1%
645 1
< 0.1%
446 1
< 0.1%
435 1
< 0.1%
412 1
< 0.1%
408 1
< 0.1%

2020-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct124
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.234568
Minimum0
Maximum5426
Zeros739
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:57.527086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile38.5
Maximum5426
Range5426
Interquartile range (IQR)6

Descriptive statistics

Standard deviation130.54682
Coefficient of variation (CV)9.171112
Kurtosis1230.1546
Mean14.234568
Median Absolute Deviation (MAD)1
Skewness31.994618
Sum35743
Variance17042.471
MonotonicityNot monotonic
2024-04-06T18:02:57.770531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 739
27.2%
1 563
20.7%
2 238
 
8.8%
3 144
 
5.3%
4 104
 
3.8%
5 83
 
3.1%
7 59
 
2.2%
8 55
 
2.0%
6 46
 
1.7%
11 43
 
1.6%
Other values (114) 437
16.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 739
27.2%
1 563
20.7%
2 238
 
8.8%
3 144
 
5.3%
4 104
 
3.8%
5 83
 
3.1%
6 46
 
1.7%
7 59
 
2.2%
8 55
 
2.0%
9 41
 
1.5%
ValueCountFrequency (%)
5426 1
< 0.1%
2380 1
< 0.1%
1470 1
< 0.1%
1185 1
< 0.1%
944 1
< 0.1%
703 1
< 0.1%
696 1
< 0.1%
426 1
< 0.1%
424 1
< 0.1%
417 1
< 0.1%

2020-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct122
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.45679
Minimum0
Maximum5380
Zeros739
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:58.014825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile38
Maximum5380
Range5380
Interquartile range (IQR)6

Descriptive statistics

Standard deviation131.89976
Coefficient of variation (CV)9.1237237
Kurtosis1153.0873
Mean14.45679
Median Absolute Deviation (MAD)1
Skewness30.94464
Sum36301
Variance17397.546
MonotonicityNot monotonic
2024-04-06T18:02:58.262015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 739
27.2%
1 553
20.3%
2 239
 
8.8%
3 147
 
5.4%
4 104
 
3.8%
5 73
 
2.7%
6 68
 
2.5%
7 54
 
2.0%
10 37
 
1.4%
11 37
 
1.4%
Other values (112) 460
16.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 739
27.2%
1 553
20.3%
2 239
 
8.8%
3 147
 
5.4%
4 104
 
3.8%
5 73
 
2.7%
6 68
 
2.5%
7 54
 
2.0%
8 33
 
1.2%
9 35
 
1.3%
ValueCountFrequency (%)
5380 1
< 0.1%
2418 1
< 0.1%
1786 1
< 0.1%
1316 1
< 0.1%
913 1
< 0.1%
764 1
< 0.1%
553 1
< 0.1%
527 1
< 0.1%
459 1
< 0.1%
428 1
< 0.1%

2020-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct137
Distinct (%)5.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean17.228594
Minimum0
Maximum6377
Zeros673
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:58.503632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile48.5
Maximum6377
Range6377
Interquartile range (IQR)7

Descriptive statistics

Standard deviation154.02668
Coefficient of variation (CV)8.940177
Kurtosis1218.2608
Mean17.228594
Median Absolute Deviation (MAD)2
Skewness31.877403
Sum43261
Variance23724.219
MonotonicityNot monotonic
2024-04-06T18:02:58.737597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 673
24.8%
1 534
19.6%
2 235
 
8.6%
3 166
 
6.1%
4 108
 
4.0%
5 68
 
2.5%
6 62
 
2.3%
7 52
 
1.9%
8 47
 
1.7%
9 41
 
1.5%
Other values (127) 525
19.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 673
24.8%
1 534
19.6%
2 235
 
8.6%
3 166
 
6.1%
4 108
 
4.0%
5 68
 
2.5%
6 62
 
2.3%
7 52
 
1.9%
8 47
 
1.7%
9 41
 
1.5%
ValueCountFrequency (%)
6377 1
< 0.1%
2934 1
< 0.1%
1529 1
< 0.1%
1527 1
< 0.1%
1092 1
< 0.1%
812 1
< 0.1%
759 1
< 0.1%
541 1
< 0.1%
530 1
< 0.1%
528 1
< 0.1%

2020-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct151
Distinct (%)6.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean21.692155
Minimum0
Maximum7888
Zeros555
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:59.352615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q39
95-th percentile62
Maximum7888
Range7888
Interquartile range (IQR)8

Descriptive statistics

Standard deviation192.49208
Coefficient of variation (CV)8.873811
Kurtosis1175.3698
Mean21.692155
Median Absolute Deviation (MAD)2
Skewness31.294949
Sum54469
Variance37053.2
MonotonicityNot monotonic
2024-04-06T18:02:59.604095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 555
20.4%
1 534
19.6%
2 250
9.2%
3 148
 
5.4%
4 114
 
4.2%
5 81
 
3.0%
6 70
 
2.6%
7 63
 
2.3%
9 51
 
1.9%
8 48
 
1.8%
Other values (141) 597
22.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 555
20.4%
1 534
19.6%
2 250
9.2%
3 148
 
5.4%
4 114
 
4.2%
5 81
 
3.0%
6 70
 
2.6%
7 63
 
2.3%
8 48
 
1.8%
9 51
 
1.9%
ValueCountFrequency (%)
7888 1
< 0.1%
3671 1
< 0.1%
2285 1
< 0.1%
1844 1
< 0.1%
1503 1
< 0.1%
1128 1
< 0.1%
713 1
< 0.1%
678 1
< 0.1%
615 1
< 0.1%
607 1
< 0.1%

2021-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct128
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean14.266428
Minimum0
Maximum5091
Zeros768
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:02:59.873977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile40.5
Maximum5091
Range5091
Interquartile range (IQR)6

Descriptive statistics

Standard deviation126.50556
Coefficient of variation (CV)8.8673605
Kurtosis1110.781
Mean14.266428
Median Absolute Deviation (MAD)1
Skewness30.430397
Sum35823
Variance16003.656
MonotonicityNot monotonic
2024-04-06T18:03:00.137201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 768
28.3%
1 522
19.2%
2 245
 
9.0%
3 144
 
5.3%
4 97
 
3.6%
5 76
 
2.8%
6 62
 
2.3%
7 55
 
2.0%
8 35
 
1.3%
10 35
 
1.3%
Other values (118) 472
17.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 768
28.3%
1 522
19.2%
2 245
 
9.0%
3 144
 
5.3%
4 97
 
3.6%
5 76
 
2.8%
6 62
 
2.3%
7 55
 
2.0%
8 35
 
1.3%
9 32
 
1.2%
ValueCountFrequency (%)
5091 1
< 0.1%
2532 1
< 0.1%
1596 1
< 0.1%
1239 1
< 0.1%
928 1
< 0.1%
817 1
< 0.1%
519 1
< 0.1%
461 1
< 0.1%
420 1
< 0.1%
390 1
< 0.1%

2021-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct119
Distinct (%)4.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.61808
Minimum0
Maximum4913
Zeros743
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:00.390102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile36.5
Maximum4913
Range4913
Interquartile range (IQR)6

Descriptive statistics

Standard deviation121.13655
Coefficient of variation (CV)8.8952736
Kurtosis1144.764
Mean13.61808
Median Absolute Deviation (MAD)1
Skewness30.913316
Sum34195
Variance14674.064
MonotonicityNot monotonic
2024-04-06T18:03:00.655224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 743
27.3%
1 567
20.9%
2 240
 
8.8%
3 147
 
5.4%
4 98
 
3.6%
5 70
 
2.6%
6 64
 
2.4%
7 56
 
2.1%
8 47
 
1.7%
9 38
 
1.4%
Other values (109) 441
16.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 743
27.3%
1 567
20.9%
2 240
 
8.8%
3 147
 
5.4%
4 98
 
3.6%
5 70
 
2.6%
6 64
 
2.4%
7 56
 
2.1%
8 47
 
1.7%
9 38
 
1.4%
ValueCountFrequency (%)
4913 1
< 0.1%
2491 1
< 0.1%
1305 1
< 0.1%
971 1
< 0.1%
892 1
< 0.1%
872 1
< 0.1%
529 1
< 0.1%
469 1
< 0.1%
438 1
< 0.1%
390 1
< 0.1%

2021-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct120
Distinct (%)4.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.862206
Minimum0
Maximum4448
Zeros630
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:00.909265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile38
Maximum4448
Range4448
Interquartile range (IQR)6

Descriptive statistics

Standard deviation116.71554
Coefficient of variation (CV)8.4196941
Kurtosis963.89154
Mean13.862206
Median Absolute Deviation (MAD)2
Skewness28.479986
Sum34808
Variance13622.516
MonotonicityNot monotonic
2024-04-06T18:03:01.173414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 630
23.2%
1 547
20.1%
2 287
10.6%
3 157
 
5.8%
4 118
 
4.3%
6 73
 
2.7%
5 72
 
2.6%
7 51
 
1.9%
8 41
 
1.5%
10 38
 
1.4%
Other values (110) 497
18.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 630
23.2%
1 547
20.1%
2 287
10.6%
3 157
 
5.8%
4 118
 
4.3%
5 72
 
2.6%
6 73
 
2.7%
7 51
 
1.9%
8 41
 
1.5%
9 31
 
1.1%
ValueCountFrequency (%)
4448 1
< 0.1%
2758 1
< 0.1%
1281 1
< 0.1%
1168 1
< 0.1%
994 1
< 0.1%
861 1
< 0.1%
571 1
< 0.1%
390 1
< 0.1%
371 1
< 0.1%
358 1
< 0.1%

2021-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct127
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.265631
Minimum0
Maximum4989
Zeros621
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:01.425616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile45
Maximum4989
Range4989
Interquartile range (IQR)6

Descriptive statistics

Standard deviation128.66902
Coefficient of variation (CV)8.4286731
Kurtosis994.22807
Mean15.265631
Median Absolute Deviation (MAD)2
Skewness28.748694
Sum38332
Variance16555.715
MonotonicityNot monotonic
2024-04-06T18:03:01.680158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 621
22.8%
1 544
20.0%
2 294
10.8%
3 153
 
5.6%
4 110
 
4.0%
5 85
 
3.1%
6 66
 
2.4%
7 53
 
1.9%
9 47
 
1.7%
10 39
 
1.4%
Other values (117) 499
18.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 621
22.8%
1 544
20.0%
2 294
10.8%
3 153
 
5.6%
4 110
 
4.0%
5 85
 
3.1%
6 66
 
2.4%
7 53
 
1.9%
8 37
 
1.4%
9 47
 
1.7%
ValueCountFrequency (%)
4989 1
< 0.1%
2823 1
< 0.1%
1509 1
< 0.1%
1324 1
< 0.1%
1106 1
< 0.1%
922 1
< 0.1%
559 1
< 0.1%
503 1
< 0.1%
431 1
< 0.1%
393 1
< 0.1%

2021-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct127
Distinct (%)5.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean15.105934
Minimum0
Maximum4920
Zeros635
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:01.894200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile43.5
Maximum4920
Range4920
Interquartile range (IQR)7

Descriptive statistics

Standard deviation126.54893
Coefficient of variation (CV)8.377432
Kurtosis1006.7779
Mean15.105934
Median Absolute Deviation (MAD)2
Skewness28.939282
Sum37931
Variance16014.633
MonotonicityNot monotonic
2024-04-06T18:03:02.182903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 635
23.4%
1 553
20.3%
2 276
10.2%
3 138
 
5.1%
4 115
 
4.2%
5 67
 
2.5%
7 64
 
2.4%
6 61
 
2.2%
8 53
 
1.9%
11 44
 
1.6%
Other values (117) 505
18.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 635
23.4%
1 553
20.3%
2 276
10.2%
3 138
 
5.1%
4 115
 
4.2%
5 67
 
2.5%
6 61
 
2.2%
7 64
 
2.4%
8 53
 
1.9%
9 35
 
1.3%
ValueCountFrequency (%)
4920 1
< 0.1%
2822 1
< 0.1%
1338 1
< 0.1%
1200 1
< 0.1%
1143 1
< 0.1%
903 1
< 0.1%
562 1
< 0.1%
560 1
< 0.1%
459 1
< 0.1%
376 1
< 0.1%

2021-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct124
Distinct (%)4.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.80446
Minimum0
Maximum4695
Zeros706
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:02.444128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile40
Maximum4695
Range4695
Interquartile range (IQR)6

Descriptive statistics

Standard deviation119.56789
Coefficient of variation (CV)8.6615405
Kurtosis1047.5109
Mean13.80446
Median Absolute Deviation (MAD)1
Skewness29.636439
Sum34663
Variance14296.481
MonotonicityNot monotonic
2024-04-06T18:03:02.710366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 706
26.0%
1 575
21.2%
2 256
 
9.4%
3 150
 
5.5%
4 107
 
3.9%
5 74
 
2.7%
6 63
 
2.3%
7 51
 
1.9%
8 47
 
1.7%
9 35
 
1.3%
Other values (114) 447
16.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 706
26.0%
1 575
21.2%
2 256
 
9.4%
3 150
 
5.5%
4 107
 
3.9%
5 74
 
2.7%
6 63
 
2.3%
7 51
 
1.9%
8 47
 
1.7%
9 35
 
1.3%
ValueCountFrequency (%)
4695 1
< 0.1%
2709 1
< 0.1%
1167 1
< 0.1%
1081 1
< 0.1%
982 1
< 0.1%
854 1
< 0.1%
504 1
< 0.1%
494 1
< 0.1%
410 1
< 0.1%
393 1
< 0.1%

2021-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct121
Distinct (%)4.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean13.514536
Minimum0
Maximum4714
Zeros725
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:02.964948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile36
Maximum4714
Range4714
Interquartile range (IQR)5

Descriptive statistics

Standard deviation119.47455
Coefficient of variation (CV)8.8404474
Kurtosis1055.8538
Mean13.514536
Median Absolute Deviation (MAD)1
Skewness29.743753
Sum33935
Variance14274.167
MonotonicityNot monotonic
2024-04-06T18:03:03.214194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 725
26.7%
1 558
20.5%
2 270
 
9.9%
3 156
 
5.7%
4 104
 
3.8%
5 73
 
2.7%
8 54
 
2.0%
6 54
 
2.0%
7 50
 
1.8%
10 38
 
1.4%
Other values (111) 429
15.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 725
26.7%
1 558
20.5%
2 270
 
9.9%
3 156
 
5.7%
4 104
 
3.8%
5 73
 
2.7%
6 54
 
2.0%
7 50
 
1.8%
8 54
 
2.0%
9 34
 
1.3%
ValueCountFrequency (%)
4714 1
< 0.1%
2609 1
< 0.1%
1431 1
< 0.1%
1144 1
< 0.1%
872 1
< 0.1%
727 1
< 0.1%
504 1
< 0.1%
473 1
< 0.1%
372 1
< 0.1%
358 1
< 0.1%

2021-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct120
Distinct (%)4.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean12.834329
Minimum0
Maximum4586
Zeros733
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:03.439936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile35.5
Maximum4586
Range4586
Interquartile range (IQR)5

Descriptive statistics

Standard deviation114.00923
Coefficient of variation (CV)8.883147
Kurtosis1121.0232
Mean12.834329
Median Absolute Deviation (MAD)1
Skewness30.643
Sum32227
Variance12998.105
MonotonicityNot monotonic
2024-04-06T18:03:03.658182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 733
27.0%
1 586
21.6%
2 245
 
9.0%
3 155
 
5.7%
4 119
 
4.4%
5 59
 
2.2%
7 58
 
2.1%
8 53
 
1.9%
6 47
 
1.7%
9 40
 
1.5%
Other values (110) 416
15.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 733
27.0%
1 586
21.6%
2 245
 
9.0%
3 155
 
5.7%
4 119
 
4.4%
5 59
 
2.2%
6 47
 
1.7%
7 58
 
2.1%
8 53
 
1.9%
9 40
 
1.5%
ValueCountFrequency (%)
4586 1
< 0.1%
2436 1
< 0.1%
1169 1
< 0.1%
989 1
< 0.1%
842 1
< 0.1%
736 1
< 0.1%
543 1
< 0.1%
453 1
< 0.1%
402 1
< 0.1%
384 1
< 0.1%

2021-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)4.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.839904
Minimum0
Maximum4195
Zeros793
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:03.924797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile33
Maximum4195
Range4195
Interquartile range (IQR)5

Descriptive statistics

Standard deviation104.08086
Coefficient of variation (CV)8.7906838
Kurtosis1122.4428
Mean11.839904
Median Absolute Deviation (MAD)1
Skewness30.62864
Sum29730
Variance10832.825
MonotonicityNot monotonic
2024-04-06T18:03:04.169739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 793
29.2%
1 564
20.8%
2 256
 
9.4%
3 132
 
4.9%
4 105
 
3.9%
6 65
 
2.4%
5 64
 
2.4%
7 52
 
1.9%
8 46
 
1.7%
9 37
 
1.4%
Other values (106) 397
14.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 793
29.2%
1 564
20.8%
2 256
 
9.4%
3 132
 
4.9%
4 105
 
3.9%
5 64
 
2.4%
6 65
 
2.4%
7 52
 
1.9%
8 46
 
1.7%
9 37
 
1.4%
ValueCountFrequency (%)
4195 1
< 0.1%
2159 1
< 0.1%
1183 1
< 0.1%
921 1
< 0.1%
797 1
< 0.1%
650 1
< 0.1%
462 1
< 0.1%
442 1
< 0.1%
384 1
< 0.1%
293 1
< 0.1%

2021-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct111
Distinct (%)4.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean11.407009
Minimum0
Maximum3804
Zeros750
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:04.415455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile32
Maximum3804
Range3804
Interquartile range (IQR)5

Descriptive statistics

Standard deviation97.482547
Coefficient of variation (CV)8.5458463
Kurtosis1028.0041
Mean11.407009
Median Absolute Deviation (MAD)1
Skewness29.343744
Sum28643
Variance9502.847
MonotonicityNot monotonic
2024-04-06T18:03:04.653401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 750
27.6%
1 600
22.1%
2 271
 
10.0%
3 141
 
5.2%
4 98
 
3.6%
5 77
 
2.8%
6 64
 
2.4%
7 57
 
2.1%
8 43
 
1.6%
9 32
 
1.2%
Other values (101) 378
13.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 750
27.6%
1 600
22.1%
2 271
 
10.0%
3 141
 
5.2%
4 98
 
3.6%
5 77
 
2.8%
6 64
 
2.4%
7 57
 
2.1%
8 43
 
1.6%
9 32
 
1.2%
ValueCountFrequency (%)
3804 1
< 0.1%
2226 1
< 0.1%
923 1
< 0.1%
915 1
< 0.1%
888 1
< 0.1%
591 1
< 0.1%
433 1
< 0.1%
425 1
< 0.1%
410 1
< 0.1%
322 1
< 0.1%

2021-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct108
Distinct (%)4.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean10.780566
Minimum0
Maximum3809
Zeros773
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:04.970283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile30
Maximum3809
Range3809
Interquartile range (IQR)4

Descriptive statistics

Standard deviation94.323881
Coefficient of variation (CV)8.7494372
Kurtosis1131.6252
Mean10.780566
Median Absolute Deviation (MAD)1
Skewness30.785116
Sum27070
Variance8896.9945
MonotonicityNot monotonic
2024-04-06T18:03:05.230008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 773
28.4%
1 629
23.1%
2 234
 
8.6%
3 155
 
5.7%
4 99
 
3.6%
5 69
 
2.5%
8 52
 
1.9%
6 49
 
1.8%
7 48
 
1.8%
10 34
 
1.3%
Other values (98) 369
13.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 773
28.4%
1 629
23.1%
2 234
 
8.6%
3 155
 
5.7%
4 99
 
3.6%
5 69
 
2.5%
6 49
 
1.8%
7 48
 
1.8%
8 52
 
1.9%
9 33
 
1.2%
ValueCountFrequency (%)
3809 1
< 0.1%
1969 1
< 0.1%
1048 1
< 0.1%
883 1
< 0.1%
653 1
< 0.1%
513 1
< 0.1%
428 1
< 0.1%
397 1
< 0.1%
340 1
< 0.1%
311 1
< 0.1%

2021-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct103
Distinct (%)4.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean9.7383513
Minimum0
Maximum3356
Zeros795
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:05.490414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26
Maximum3356
Range3356
Interquartile range (IQR)4

Descriptive statistics

Standard deviation84.948926
Coefficient of variation (CV)8.7231322
Kurtosis1056.0363
Mean9.7383513
Median Absolute Deviation (MAD)1
Skewness29.698484
Sum24453
Variance7216.32
MonotonicityNot monotonic
2024-04-06T18:03:05.738567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 795
29.2%
1 635
23.4%
2 251
 
9.2%
3 149
 
5.5%
5 76
 
2.8%
4 74
 
2.7%
7 57
 
2.1%
6 55
 
2.0%
8 47
 
1.7%
9 37
 
1.4%
Other values (93) 335
12.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 795
29.2%
1 635
23.4%
2 251
 
9.2%
3 149
 
5.5%
4 74
 
2.7%
5 76
 
2.8%
6 55
 
2.0%
7 57
 
2.1%
8 47
 
1.7%
9 37
 
1.4%
ValueCountFrequency (%)
3356 1
< 0.1%
1831 1
< 0.1%
984 1
< 0.1%
872 1
< 0.1%
581 1
< 0.1%
537 1
< 0.1%
429 1
< 0.1%
370 1
< 0.1%
263 1
< 0.1%
251 1
< 0.1%

2022-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct97
Distinct (%)3.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean8.3142174
Minimum0
Maximum3228
Zeros962
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:05.996459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum3228
Range3228
Interquartile range (IQR)3

Descriptive statistics

Standard deviation76.948462
Coefficient of variation (CV)9.2550456
Kurtosis1272.236
Mean8.3142174
Median Absolute Deviation (MAD)1
Skewness32.570253
Sum20877
Variance5921.0658
MonotonicityNot monotonic
2024-04-06T18:03:06.271321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 962
35.4%
1 622
22.9%
2 222
 
8.2%
3 130
 
4.8%
5 81
 
3.0%
4 75
 
2.8%
6 51
 
1.9%
8 43
 
1.6%
7 41
 
1.5%
9 23
 
0.8%
Other values (87) 261
 
9.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 962
35.4%
1 622
22.9%
2 222
 
8.2%
3 130
 
4.8%
4 75
 
2.8%
5 81
 
3.0%
6 51
 
1.9%
7 41
 
1.5%
8 43
 
1.6%
9 23
 
0.8%
ValueCountFrequency (%)
3228 1
< 0.1%
1411 1
< 0.1%
746 1
< 0.1%
641 1
< 0.1%
541 1
< 0.1%
428 1
< 0.1%
349 1
< 0.1%
307 1
< 0.1%
301 1
< 0.1%
284 1
< 0.1%

2022-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)3.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean8.1445639
Minimum0
Maximum3195
Zeros950
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:06.910262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum3195
Range3195
Interquartile range (IQR)3

Descriptive statistics

Standard deviation75.329329
Coefficient of variation (CV)9.2490316
Kurtosis1319.1653
Mean8.1445639
Median Absolute Deviation (MAD)1
Skewness33.204688
Sum20451
Variance5674.5078
MonotonicityNot monotonic
2024-04-06T18:03:07.157926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 950
35.0%
1 633
23.3%
2 225
 
8.3%
3 136
 
5.0%
4 90
 
3.3%
5 65
 
2.4%
7 49
 
1.8%
6 45
 
1.7%
8 34
 
1.3%
9 27
 
1.0%
Other values (89) 257
 
9.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 950
35.0%
1 633
23.3%
2 225
 
8.3%
3 136
 
5.0%
4 90
 
3.3%
5 65
 
2.4%
6 45
 
1.7%
7 49
 
1.8%
8 34
 
1.3%
9 27
 
1.0%
ValueCountFrequency (%)
3195 1
< 0.1%
1311 1
< 0.1%
714 1
< 0.1%
636 1
< 0.1%
588 1
< 0.1%
393 1
< 0.1%
313 1
< 0.1%
305 1
< 0.1%
302 1
< 0.1%
277 1
< 0.1%

2022-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct102
Distinct (%)4.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean8.7244126
Minimum0
Maximum2913
Zeros865
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:07.498662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile25
Maximum2913
Range2913
Interquartile range (IQR)3

Descriptive statistics

Standard deviation73.814517
Coefficient of variation (CV)8.4606862
Kurtosis1057.3793
Mean8.7244126
Median Absolute Deviation (MAD)1
Skewness29.696723
Sum21907
Variance5448.583
MonotonicityNot monotonic
2024-04-06T18:03:07.762829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 865
31.8%
1 647
23.8%
2 234
 
8.6%
3 139
 
5.1%
4 89
 
3.3%
6 64
 
2.4%
5 62
 
2.3%
7 43
 
1.6%
8 35
 
1.3%
9 30
 
1.1%
Other values (92) 303
 
11.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 865
31.8%
1 647
23.8%
2 234
 
8.6%
3 139
 
5.1%
4 89
 
3.3%
5 62
 
2.3%
6 64
 
2.4%
7 43
 
1.6%
8 35
 
1.3%
9 30
 
1.1%
ValueCountFrequency (%)
2913 1
< 0.1%
1629 1
< 0.1%
864 1
< 0.1%
611 1
< 0.1%
502 1
< 0.1%
325 2
0.1%
315 1
< 0.1%
302 2
0.1%
280 1
< 0.1%
245 1
< 0.1%

2022-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct107
Distinct (%)4.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean10.330147
Minimum0
Maximum3499
Zeros790
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:07.999956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile29
Maximum3499
Range3499
Interquartile range (IQR)4

Descriptive statistics

Standard deviation88.521956
Coefficient of variation (CV)8.569283
Kurtosis1045.3312
Mean10.330147
Median Absolute Deviation (MAD)1
Skewness29.382723
Sum25939
Variance7836.1368
MonotonicityNot monotonic
2024-04-06T18:03:08.247469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 790
29.1%
1 645
23.7%
2 247
 
9.1%
3 135
 
5.0%
4 88
 
3.2%
5 82
 
3.0%
6 63
 
2.3%
7 45
 
1.7%
8 39
 
1.4%
9 39
 
1.4%
Other values (97) 338
12.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 790
29.1%
1 645
23.7%
2 247
 
9.1%
3 135
 
5.0%
4 88
 
3.2%
5 82
 
3.0%
6 63
 
2.3%
7 45
 
1.7%
8 39
 
1.4%
9 39
 
1.4%
ValueCountFrequency (%)
3499 1
< 0.1%
1816 1
< 0.1%
1099 1
< 0.1%
895 1
< 0.1%
731 1
< 0.1%
539 1
< 0.1%
359 1
< 0.1%
315 1
< 0.1%
300 1
< 0.1%
288 1
< 0.1%

2022-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct101
Distinct (%)4.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean9.3918757
Minimum0
Maximum2805
Zeros767
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:08.525319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile27
Maximum2805
Range2805
Interquartile range (IQR)4

Descriptive statistics

Standard deviation75.731162
Coefficient of variation (CV)8.0634757
Kurtosis882.45128
Mean9.3918757
Median Absolute Deviation (MAD)1
Skewness27.188164
Sum23583
Variance5735.2089
MonotonicityNot monotonic
2024-04-06T18:03:08.774737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 767
28.2%
1 619
22.8%
2 277
 
10.2%
3 141
 
5.2%
4 101
 
3.7%
5 72
 
2.6%
6 61
 
2.2%
7 54
 
2.0%
9 42
 
1.5%
8 40
 
1.5%
Other values (91) 337
12.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 767
28.2%
1 619
22.8%
2 277
 
10.2%
3 141
 
5.2%
4 101
 
3.7%
5 72
 
2.6%
6 61
 
2.2%
7 54
 
2.0%
8 40
 
1.5%
9 42
 
1.5%
ValueCountFrequency (%)
2805 1
< 0.1%
1793 1
< 0.1%
1038 1
< 0.1%
779 1
< 0.1%
633 1
< 0.1%
499 1
< 0.1%
404 1
< 0.1%
268 1
< 0.1%
262 1
< 0.1%
257 1
< 0.1%

2022-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct100
Distinct (%)4.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean8.6714456
Minimum0
Maximum2969
Zeros884
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:09.013453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile24.5
Maximum2969
Range2969
Interquartile range (IQR)4

Descriptive statistics

Standard deviation73.829134
Coefficient of variation (CV)8.5140514
Kurtosis1095.1725
Mean8.6714456
Median Absolute Deviation (MAD)1
Skewness29.970805
Sum21774
Variance5450.741
MonotonicityNot monotonic
2024-04-06T18:03:09.235530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 884
32.5%
1 606
22.3%
2 262
 
9.6%
3 126
 
4.6%
4 93
 
3.4%
5 72
 
2.6%
6 58
 
2.1%
7 49
 
1.8%
8 42
 
1.5%
10 31
 
1.1%
Other values (90) 288
 
10.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 884
32.5%
1 606
22.3%
2 262
 
9.6%
3 126
 
4.6%
4 93
 
3.4%
5 72
 
2.6%
6 58
 
2.1%
7 49
 
1.8%
8 42
 
1.5%
9 27
 
1.0%
ValueCountFrequency (%)
2969 1
< 0.1%
1398 1
< 0.1%
885 1
< 0.1%
754 1
< 0.1%
694 1
< 0.1%
361 1
< 0.1%
336 1
< 0.1%
311 1
< 0.1%
288 1
< 0.1%
226 1
< 0.1%

2022-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct87
Distinct (%)3.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean6.2775787
Minimum0
Maximum1923
Zeros971
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:09.515407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile17
Maximum1923
Range1923
Interquartile range (IQR)3

Descriptive statistics

Standard deviation51.004794
Coefficient of variation (CV)8.1249152
Kurtosis925.68004
Mean6.2775787
Median Absolute Deviation (MAD)1
Skewness27.787976
Sum15763
Variance2601.4891
MonotonicityNot monotonic
2024-04-06T18:03:09.787063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 971
35.7%
1 625
23.0%
2 244
 
9.0%
3 129
 
4.7%
4 88
 
3.2%
5 72
 
2.6%
6 68
 
2.5%
9 33
 
1.2%
7 32
 
1.2%
8 26
 
1.0%
Other values (77) 223
 
8.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 971
35.7%
1 625
23.0%
2 244
 
9.0%
3 129
 
4.7%
4 88
 
3.2%
5 72
 
2.6%
6 68
 
2.5%
7 32
 
1.2%
8 26
 
1.0%
9 33
 
1.2%
ValueCountFrequency (%)
1923 1
< 0.1%
1187 1
< 0.1%
685 1
< 0.1%
435 1
< 0.1%
430 1
< 0.1%
294 1
< 0.1%
275 1
< 0.1%
215 1
< 0.1%
184 1
< 0.1%
174 1
< 0.1%

2022-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct89
Distinct (%)3.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.1935484
Minimum0
Maximum2534
Zeros999
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:10.059932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile19
Maximum2534
Range2534
Interquartile range (IQR)3

Descriptive statistics

Standard deviation62.569273
Coefficient of variation (CV)8.6979707
Kurtosis1116.4029
Mean7.1935484
Median Absolute Deviation (MAD)1
Skewness30.170759
Sum18063
Variance3914.9139
MonotonicityNot monotonic
2024-04-06T18:03:10.335834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 999
36.8%
1 640
23.5%
2 226
 
8.3%
3 125
 
4.6%
4 85
 
3.1%
5 61
 
2.2%
6 47
 
1.7%
8 38
 
1.4%
7 31
 
1.1%
11 26
 
1.0%
Other values (79) 233
 
8.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 999
36.8%
1 640
23.5%
2 226
 
8.3%
3 125
 
4.6%
4 85
 
3.1%
5 61
 
2.2%
6 47
 
1.7%
7 31
 
1.1%
8 38
 
1.4%
9 22
 
0.8%
ValueCountFrequency (%)
2534 1
< 0.1%
1141 1
< 0.1%
675 1
< 0.1%
656 1
< 0.1%
605 1
< 0.1%
367 1
< 0.1%
262 2
0.1%
246 1
< 0.1%
233 1
< 0.1%
202 1
< 0.1%

2022-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct81
Distinct (%)3.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean5.5157308
Minimum0
Maximum1753
Zeros1037
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:10.647262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile15
Maximum1753
Range1753
Interquartile range (IQR)2

Descriptive statistics

Standard deviation45.459772
Coefficient of variation (CV)8.2418403
Kurtosis977.53391
Mean5.5157308
Median Absolute Deviation (MAD)1
Skewness28.401661
Sum13850
Variance2066.5909
MonotonicityNot monotonic
2024-04-06T18:03:10.910599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1037
38.2%
1 664
24.4%
2 204
 
7.5%
3 136
 
5.0%
4 80
 
2.9%
5 65
 
2.4%
6 50
 
1.8%
7 30
 
1.1%
8 29
 
1.1%
9 26
 
1.0%
Other values (71) 190
 
7.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1037
38.2%
1 664
24.4%
2 204
 
7.5%
3 136
 
5.0%
4 80
 
2.9%
5 65
 
2.4%
6 50
 
1.8%
7 30
 
1.1%
8 29
 
1.1%
9 26
 
1.0%
ValueCountFrequency (%)
1753 1
< 0.1%
1008 1
< 0.1%
580 1
< 0.1%
346 1
< 0.1%
328 1
< 0.1%
294 1
< 0.1%
244 1
< 0.1%
229 1
< 0.1%
209 1
< 0.1%
178 1
< 0.1%

2022-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct82
Distinct (%)3.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean5.6917563
Minimum0
Maximum1887
Zeros1053
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:11.157704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile16
Maximum1887
Range1887
Interquartile range (IQR)2

Descriptive statistics

Standard deviation47.403244
Coefficient of variation (CV)8.3284036
Kurtosis1067.6557
Mean5.6917563
Median Absolute Deviation (MAD)1
Skewness29.636164
Sum14292
Variance2247.0675
MonotonicityNot monotonic
2024-04-06T18:03:11.424514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1053
38.7%
1 643
23.7%
2 208
 
7.7%
3 126
 
4.6%
4 88
 
3.2%
5 56
 
2.1%
6 47
 
1.7%
8 31
 
1.1%
7 30
 
1.1%
9 30
 
1.1%
Other values (72) 199
 
7.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1053
38.7%
1 643
23.7%
2 208
 
7.7%
3 126
 
4.6%
4 88
 
3.2%
5 56
 
2.1%
6 47
 
1.7%
7 30
 
1.1%
8 31
 
1.1%
9 30
 
1.1%
ValueCountFrequency (%)
1887 1
< 0.1%
967 1
< 0.1%
507 1
< 0.1%
475 1
< 0.1%
434 1
< 0.1%
263 1
< 0.1%
225 1
< 0.1%
169 1
< 0.1%
161 1
< 0.1%
151 1
< 0.1%

2022-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)3.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean5.2978893
Minimum0
Maximum1850
Zeros1063
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:11.680006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile14
Maximum1850
Range1850
Interquartile range (IQR)2

Descriptive statistics

Standard deviation45.783281
Coefficient of variation (CV)8.6417965
Kurtosis1128.7589
Mean5.2978893
Median Absolute Deviation (MAD)1
Skewness30.675441
Sum13303
Variance2096.1088
MonotonicityNot monotonic
2024-04-06T18:03:11.924413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1063
39.1%
1 633
23.3%
2 215
 
7.9%
3 143
 
5.3%
4 83
 
3.1%
5 51
 
1.9%
6 44
 
1.6%
7 42
 
1.5%
8 24
 
0.9%
9 22
 
0.8%
Other values (67) 191
 
7.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1063
39.1%
1 633
23.3%
2 215
 
7.9%
3 143
 
5.3%
4 83
 
3.1%
5 51
 
1.9%
6 44
 
1.6%
7 42
 
1.5%
8 24
 
0.9%
9 22
 
0.8%
ValueCountFrequency (%)
1850 1
< 0.1%
935 1
< 0.1%
498 1
< 0.1%
466 1
< 0.1%
348 1
< 0.1%
207 1
< 0.1%
206 1
< 0.1%
171 1
< 0.1%
169 1
< 0.1%
147 1
< 0.1%

2022-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct84
Distinct (%)3.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean6.8781362
Minimum0
Maximum2646
Zeros999
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:12.186619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile18
Maximum2646
Range2646
Interquartile range (IQR)3

Descriptive statistics

Standard deviation63.859522
Coefficient of variation (CV)9.2844224
Kurtosis1207.4266
Mean6.8781362
Median Absolute Deviation (MAD)1
Skewness31.562676
Sum17271
Variance4078.0385
MonotonicityNot monotonic
2024-04-06T18:03:12.445178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 999
36.8%
1 628
23.1%
2 228
 
8.4%
3 123
 
4.5%
4 101
 
3.7%
5 68
 
2.5%
6 45
 
1.7%
7 45
 
1.7%
9 28
 
1.0%
8 26
 
1.0%
Other values (74) 220
 
8.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 999
36.8%
1 628
23.1%
2 228
 
8.4%
3 123
 
4.5%
4 101
 
3.7%
5 68
 
2.5%
6 45
 
1.7%
7 45
 
1.7%
8 26
 
1.0%
9 28
 
1.0%
ValueCountFrequency (%)
2646 1
< 0.1%
1002 1
< 0.1%
909 1
< 0.1%
620 1
< 0.1%
540 1
< 0.1%
322 1
< 0.1%
271 1
< 0.1%
268 1
< 0.1%
229 1
< 0.1%
228 1
< 0.1%

2023-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)2.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.7096774
Minimum0
Maximum1843
Zeros1278
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:12.696387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum1843
Range1843
Interquartile range (IQR)2

Descriptive statistics

Standard deviation43.6369
Coefficient of variation (CV)9.2653691
Kurtosis1304.1595
Mean4.7096774
Median Absolute Deviation (MAD)0
Skewness33.038808
Sum11826
Variance1904.179
MonotonicityNot monotonic
2024-04-06T18:03:12.940322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1278
47.0%
1 544
20.0%
2 189
 
7.0%
3 121
 
4.5%
4 61
 
2.2%
5 43
 
1.6%
6 42
 
1.5%
7 29
 
1.1%
8 22
 
0.8%
9 17
 
0.6%
Other values (61) 165
 
6.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1278
47.0%
1 544
20.0%
2 189
 
7.0%
3 121
 
4.5%
4 61
 
2.2%
5 43
 
1.6%
6 42
 
1.5%
7 29
 
1.1%
8 22
 
0.8%
9 17
 
0.6%
ValueCountFrequency (%)
1843 1
< 0.1%
797 1
< 0.1%
401 1
< 0.1%
359 1
< 0.1%
302 1
< 0.1%
206 1
< 0.1%
163 2
0.1%
159 1
< 0.1%
157 1
< 0.1%
149 1
< 0.1%

2023-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct95
Distinct (%)3.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.4225408
Minimum0
Maximum2801
Zeros1130
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:13.186769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile21.5
Maximum2801
Range2801
Interquartile range (IQR)2

Descriptive statistics

Standard deviation68.384467
Coefficient of variation (CV)9.2130806
Kurtosis1182.1675
Mean7.4225408
Median Absolute Deviation (MAD)1
Skewness31.406051
Sum18638
Variance4676.4353
MonotonicityNot monotonic
2024-04-06T18:03:13.428599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1130
41.6%
1 562
20.7%
2 196
 
7.2%
3 100
 
3.7%
4 85
 
3.1%
5 60
 
2.2%
6 39
 
1.4%
7 38
 
1.4%
8 29
 
1.1%
12 28
 
1.0%
Other values (85) 244
 
9.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1130
41.6%
1 562
20.7%
2 196
 
7.2%
3 100
 
3.7%
4 85
 
3.1%
5 60
 
2.2%
6 39
 
1.4%
7 38
 
1.4%
8 29
 
1.1%
9 26
 
1.0%
ValueCountFrequency (%)
2801 1
< 0.1%
1385 1
< 0.1%
697 1
< 0.1%
489 1
< 0.1%
460 1
< 0.1%
421 1
< 0.1%
384 1
< 0.1%
275 1
< 0.1%
269 1
< 0.1%
255 1
< 0.1%

2023-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct90
Distinct (%)3.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.4273198
Minimum0
Maximum2780
Zeros980
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:13.683095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum2780
Range2780
Interquartile range (IQR)3

Descriptive statistics

Standard deviation67.341759
Coefficient of variation (CV)9.0667645
Kurtosis1216.2987
Mean7.4273198
Median Absolute Deviation (MAD)1
Skewness32.003712
Sum18650
Variance4534.9125
MonotonicityNot monotonic
2024-04-06T18:03:14.378049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 980
36.1%
1 623
22.9%
2 208
 
7.7%
3 118
 
4.3%
4 100
 
3.7%
5 62
 
2.3%
6 49
 
1.8%
7 40
 
1.5%
9 32
 
1.2%
12 25
 
0.9%
Other values (80) 274
 
10.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 980
36.1%
1 623
22.9%
2 208
 
7.7%
3 118
 
4.3%
4 100
 
3.7%
5 62
 
2.3%
6 49
 
1.8%
7 40
 
1.5%
8 23
 
0.8%
9 32
 
1.2%
ValueCountFrequency (%)
2780 1
< 0.1%
1353 1
< 0.1%
710 1
< 0.1%
541 1
< 0.1%
478 1
< 0.1%
422 1
< 0.1%
228 1
< 0.1%
225 1
< 0.1%
213 2
0.1%
210 1
< 0.1%

2023-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct88
Distinct (%)3.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.2660295
Minimum0
Maximum2684
Zeros1023
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:14.612274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21
Maximum2684
Range2684
Interquartile range (IQR)3

Descriptive statistics

Standard deviation65.073775
Coefficient of variation (CV)8.9558919
Kurtosis1204.6929
Mean7.2660295
Median Absolute Deviation (MAD)1
Skewness31.740489
Sum18245
Variance4234.5961
MonotonicityNot monotonic
2024-04-06T18:03:14.856680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1023
37.6%
1 598
22.0%
2 207
 
7.6%
3 107
 
3.9%
4 84
 
3.1%
5 72
 
2.6%
6 44
 
1.6%
7 39
 
1.4%
10 35
 
1.3%
8 31
 
1.1%
Other values (78) 271
 
10.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1023
37.6%
1 598
22.0%
2 207
 
7.6%
3 107
 
3.9%
4 84
 
3.1%
5 72
 
2.6%
6 44
 
1.6%
7 39
 
1.4%
8 31
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
2684 1
< 0.1%
1253 1
< 0.1%
750 1
< 0.1%
565 1
< 0.1%
471 1
< 0.1%
378 1
< 0.1%
274 1
< 0.1%
233 1
< 0.1%
210 1
< 0.1%
208 1
< 0.1%

2023-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct102
Distinct (%)4.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean8.6264436
Minimum0
Maximum3150
Zeros950
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:15.103488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum3150
Range3150
Interquartile range (IQR)3

Descriptive statistics

Standard deviation76.664649
Coefficient of variation (CV)8.8871674
Kurtosis1184.9397
Mean8.6264436
Median Absolute Deviation (MAD)1
Skewness31.324845
Sum21661
Variance5877.4684
MonotonicityNot monotonic
2024-04-06T18:03:15.305733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 950
35.0%
1 603
22.2%
2 220
 
8.1%
3 117
 
4.3%
4 89
 
3.3%
5 65
 
2.4%
6 54
 
2.0%
7 50
 
1.8%
8 37
 
1.4%
10 26
 
1.0%
Other values (92) 300
 
11.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 950
35.0%
1 603
22.2%
2 220
 
8.1%
3 117
 
4.3%
4 89
 
3.3%
5 65
 
2.4%
6 54
 
2.0%
7 50
 
1.8%
8 37
 
1.4%
9 25
 
0.9%
ValueCountFrequency (%)
3150 1
< 0.1%
1474 1
< 0.1%
779 1
< 0.1%
712 1
< 0.1%
501 1
< 0.1%
448 1
< 0.1%
445 1
< 0.1%
305 1
< 0.1%
276 1
< 0.1%
274 1
< 0.1%

2023-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)3.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean8.8626045
Minimum0
Maximum3483
Zeros980
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:15.525839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum3483
Range3483
Interquartile range (IQR)3

Descriptive statistics

Standard deviation82.789253
Coefficient of variation (CV)9.3414134
Kurtosis1281.2238
Mean8.8626045
Median Absolute Deviation (MAD)1
Skewness32.745585
Sum22254
Variance6854.0604
MonotonicityNot monotonic
2024-04-06T18:03:15.749236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 980
36.1%
1 580
21.3%
2 204
 
7.5%
3 125
 
4.6%
4 96
 
3.5%
5 53
 
1.9%
6 51
 
1.9%
7 50
 
1.8%
8 40
 
1.5%
9 34
 
1.3%
Other values (89) 298
 
11.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 980
36.1%
1 580
21.3%
2 204
 
7.5%
3 125
 
4.6%
4 96
 
3.5%
5 53
 
1.9%
6 51
 
1.9%
7 50
 
1.8%
8 40
 
1.5%
9 34
 
1.3%
ValueCountFrequency (%)
3483 1
< 0.1%
1369 1
< 0.1%
1119 1
< 0.1%
760 1
< 0.1%
537 1
< 0.1%
405 1
< 0.1%
294 1
< 0.1%
253 1
< 0.1%
234 1
< 0.1%
233 1
< 0.1%

2023-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct91
Distinct (%)3.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.9641577
Minimum0
Maximum2990
Zeros1014
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:16.096529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile23
Maximum2990
Range2990
Interquartile range (IQR)3

Descriptive statistics

Standard deviation72.370518
Coefficient of variation (CV)9.0870273
Kurtosis1219.3637
Mean7.9641577
Median Absolute Deviation (MAD)1
Skewness32.021536
Sum19998
Variance5237.4919
MonotonicityNot monotonic
2024-04-06T18:03:16.362103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1014
37.3%
1 564
20.8%
2 208
 
7.7%
3 125
 
4.6%
4 80
 
2.9%
5 65
 
2.4%
6 62
 
2.3%
8 42
 
1.5%
7 38
 
1.4%
9 36
 
1.3%
Other values (81) 277
 
10.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1014
37.3%
1 564
20.8%
2 208
 
7.7%
3 125
 
4.6%
4 80
 
2.9%
5 65
 
2.4%
6 62
 
2.3%
7 38
 
1.4%
8 42
 
1.5%
9 36
 
1.3%
ValueCountFrequency (%)
2990 1
< 0.1%
1456 1
< 0.1%
707 1
< 0.1%
607 1
< 0.1%
505 1
< 0.1%
439 1
< 0.1%
273 1
< 0.1%
246 1
< 0.1%
232 1
< 0.1%
231 1
< 0.1%

2023-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct93
Distinct (%)3.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean8.3289526
Minimum0
Maximum3319
Zeros984
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:16.599879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21
Maximum3319
Range3319
Interquartile range (IQR)3

Descriptive statistics

Standard deviation78.742948
Coefficient of variation (CV)9.4541237
Kurtosis1296.3816
Mean8.3289526
Median Absolute Deviation (MAD)1
Skewness33.036348
Sum20914
Variance6200.4519
MonotonicityNot monotonic
2024-04-06T18:03:16.829665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 984
36.2%
1 583
21.4%
2 210
 
7.7%
3 123
 
4.5%
4 98
 
3.6%
6 60
 
2.2%
5 55
 
2.0%
8 41
 
1.5%
7 34
 
1.3%
9 30
 
1.1%
Other values (83) 293
 
10.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 984
36.2%
1 583
21.4%
2 210
 
7.7%
3 123
 
4.5%
4 98
 
3.6%
5 55
 
2.0%
6 60
 
2.2%
7 34
 
1.3%
8 41
 
1.5%
9 30
 
1.1%
ValueCountFrequency (%)
3319 1
< 0.1%
1421 1
< 0.1%
925 1
< 0.1%
629 1
< 0.1%
496 1
< 0.1%
417 1
< 0.1%
348 1
< 0.1%
249 1
< 0.1%
229 1
< 0.1%
222 1
< 0.1%

2023-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct91
Distinct (%)3.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.6686579
Minimum0
Maximum3070
Zeros1053
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:17.130518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum3070
Range3070
Interquartile range (IQR)3

Descriptive statistics

Standard deviation72.177251
Coefficient of variation (CV)9.4119795
Kurtosis1333.8854
Mean7.6686579
Median Absolute Deviation (MAD)1
Skewness33.501958
Sum19256
Variance5209.5555
MonotonicityNot monotonic
2024-04-06T18:03:17.448105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1053
38.7%
1 534
19.6%
2 228
 
8.4%
3 120
 
4.4%
4 73
 
2.7%
5 66
 
2.4%
6 51
 
1.9%
7 48
 
1.8%
8 37
 
1.4%
10 32
 
1.2%
Other values (81) 269
 
9.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1053
38.7%
1 534
19.6%
2 228
 
8.4%
3 120
 
4.4%
4 73
 
2.7%
5 66
 
2.4%
6 51
 
1.9%
7 48
 
1.8%
8 37
 
1.4%
9 25
 
0.9%
ValueCountFrequency (%)
3070 1
< 0.1%
1219 1
< 0.1%
863 1
< 0.1%
623 1
< 0.1%
466 1
< 0.1%
339 1
< 0.1%
253 1
< 0.1%
225 1
< 0.1%
216 1
< 0.1%
197 1
< 0.1%

2023-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct87
Distinct (%)3.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.2297889
Minimum0
Maximum2788
Zeros1026
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:17.703998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20
Maximum2788
Range2788
Interquartile range (IQR)3

Descriptive statistics

Standard deviation66.717471
Coefficient of variation (CV)9.2281353
Kurtosis1266.5119
Mean7.2297889
Median Absolute Deviation (MAD)1
Skewness32.707497
Sum18154
Variance4451.2209
MonotonicityNot monotonic
2024-04-06T18:03:18.008273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1026
37.7%
1 581
21.4%
2 200
 
7.4%
3 126
 
4.6%
4 87
 
3.2%
5 62
 
2.3%
6 47
 
1.7%
8 46
 
1.7%
7 41
 
1.5%
11 29
 
1.1%
Other values (77) 266
 
9.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1026
37.7%
1 581
21.4%
2 200
 
7.4%
3 126
 
4.6%
4 87
 
3.2%
5 62
 
2.3%
6 47
 
1.7%
7 41
 
1.5%
8 46
 
1.7%
9 25
 
0.9%
ValueCountFrequency (%)
2788 1
< 0.1%
1305 1
< 0.1%
687 1
< 0.1%
526 1
< 0.1%
442 1
< 0.1%
356 1
< 0.1%
237 1
< 0.1%
229 1
< 0.1%
222 1
< 0.1%
203 1
< 0.1%

2023-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct91
Distinct (%)3.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.5296695
Minimum0
Maximum2754
Zeros998
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:18.253542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum2754
Range2754
Interquartile range (IQR)3

Descriptive statistics

Standard deviation66.775027
Coefficient of variation (CV)8.8682547
Kurtosis1215.1638
Mean7.5296695
Median Absolute Deviation (MAD)1
Skewness31.963926
Sum18907
Variance4458.9042
MonotonicityNot monotonic
2024-04-06T18:03:18.506485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 998
36.7%
1 603
22.2%
2 208
 
7.7%
3 138
 
5.1%
4 70
 
2.6%
5 60
 
2.2%
6 50
 
1.8%
7 47
 
1.7%
8 39
 
1.4%
9 35
 
1.3%
Other values (81) 263
 
9.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 998
36.7%
1 603
22.2%
2 208
 
7.7%
3 138
 
5.1%
4 70
 
2.6%
5 60
 
2.2%
6 50
 
1.8%
7 47
 
1.7%
8 39
 
1.4%
9 35
 
1.3%
ValueCountFrequency (%)
2754 1
< 0.1%
1371 1
< 0.1%
612 1
< 0.1%
522 1
< 0.1%
492 1
< 0.1%
336 1
< 0.1%
287 1
< 0.1%
237 1
< 0.1%
230 1
< 0.1%
186 2
0.1%

2023-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct90
Distinct (%)3.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean6.6814018
Minimum0
Maximum2580
Zeros1061
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:18.770453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile18
Maximum2580
Range2580
Interquartile range (IQR)3

Descriptive statistics

Standard deviation61.540319
Coefficient of variation (CV)9.2106896
Kurtosis1269.613
Mean6.6814018
Median Absolute Deviation (MAD)1
Skewness32.610063
Sum16777
Variance3787.2108
MonotonicityNot monotonic
2024-04-06T18:03:19.022334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1061
39.0%
1 597
22.0%
2 204
 
7.5%
3 127
 
4.7%
4 79
 
2.9%
5 67
 
2.5%
6 51
 
1.9%
7 45
 
1.7%
9 29
 
1.1%
8 26
 
1.0%
Other values (80) 225
 
8.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1061
39.0%
1 597
22.0%
2 204
 
7.5%
3 127
 
4.7%
4 79
 
2.9%
5 67
 
2.5%
6 51
 
1.9%
7 45
 
1.7%
8 26
 
1.0%
9 29
 
1.1%
ValueCountFrequency (%)
2580 1
< 0.1%
1107 1
< 0.1%
699 1
< 0.1%
577 1
< 0.1%
455 1
< 0.1%
252 1
< 0.1%
208 1
< 0.1%
205 1
< 0.1%
180 1
< 0.1%
179 1
< 0.1%

2024-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct90
Distinct (%)3.5%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean7.8183609
Minimum0
Maximum3068
Zeros1056
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-06T18:03:19.245375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21.15
Maximum3068
Range3068
Interquartile range (IQR)3

Descriptive statistics

Standard deviation73.064912
Coefficient of variation (CV)9.3452979
Kurtosis1268.1957
Mean7.8183609
Median Absolute Deviation (MAD)1
Skewness32.607989
Sum19843
Variance5338.4814
MonotonicityNot monotonic
2024-04-06T18:03:19.483546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1056
38.9%
1 605
22.3%
2 203
 
7.5%
3 108
 
4.0%
4 88
 
3.2%
7 50
 
1.8%
5 49
 
1.8%
6 45
 
1.7%
8 36
 
1.3%
9 31
 
1.1%
Other values (80) 267
 
9.8%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 1056
38.9%
1 605
22.3%
2 203
 
7.5%
3 108
 
4.0%
4 88
 
3.2%
5 49
 
1.8%
6 45
 
1.7%
7 50
 
1.8%
8 36
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
3068 1
< 0.1%
1335 1
< 0.1%
896 1
< 0.1%
665 1
< 0.1%
461 1
< 0.1%
391 1
< 0.1%
281 1
< 0.1%
238 1
< 0.1%
222 1
< 0.1%
214 1
< 0.1%

Sample

지역 및 거래규모2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국 /20㎡이하7811111111101413141721141115111310101091112119812241512131011118107712119121211121010139711131110119910121514131920162119151919253626272733363233292137446932264138456239424250505949545854454750474154485344396455505248414347404838364541394438483542384334434536404148474650435638365138373341343143374534273026273138302627335050403428293550332629374633334239373838313033313333233129342923212120202815161718222019231819222420
1전국 /21~40㎡226286367347400340309317462516735675427358409432414383400352300425413350330337478576515498481334323352213209156202269266267302320326359338290279198225289275228229202191184242286344201222330331344330285272295328309347154253341300275259287217180268287365176182266310374431208233225325295343245313368372336309316341347458374354318327460487426477464394376449421399314307421446438453444451418492450447315362447392432471477464425343439399372357470391374344394372353437353331326264322318323363349342330390389490419455463414427572647408394459472615461469571559562504473453442425397370301313325359404336294262209225207228163255228233274234231219225229237208222
2전국 /41~60㎡121919572410212321101927159615832525283140553210199316031877198418181688167917371466199419791811179317272284269323612229222716091511153312339838411239149815611494171418701767210220461767177612971434177616151323131912461127120815721772204614861597207219421772171015981693162018011728221367212601531148416011224127011141011156815852442744110015581834199827501135124313382087193122861401184520692097178216991772178420042552208623221921186226452921262426242651220520982520232320951600153420922225223623752361245922452746260423751643178722442268233727012830283423621857221922102437208025982097214320582072207221682546199518241749145717241711166816401975203919492450235528142586302827511954237034613834235823802418293436712532249127582823282227092609243621592226196918311411131116291816179313981187114110089679351002797138513531253147413691456142112191305137111071335
3전국 /61~85㎡2621319242263639371333402769232442324404592543833273250927872645257422512412256121703313311229913102277433373769317631643198239323622589186820611671214826732887275731563195310134983395295530222261247830682910242124082255216920812639314538402885303336523340292227482754269425992831297143911518222525352442246521302235211418832783305142271808212926463383397151072571229423763914382643653334374939944135347034733948384341884937435146184105387552865551489948705152431339874713476944923618307739694037444546304456486046155257522844233536341844804509544458516298742662515226592657356709553866554970514352585304488153495835487042564683415647594807419739735175533351055523602170206556705955623749463871407621496054265380637778885091491344484989492046954714458641953804380933563228319529133499280529691923253417531887185026461843280127802684315034832990331930702788275425803068
4전국 /86~100㎡224301318274284237216200278305424377223181201205211177186197156253285222196188240266246237238195207198174159150179206221229238250230242241222223167176197207181181215181162200242305203197259232226213207224215211215332124164188190202190181181146216216255109136210246269399214181173274251301248279279271273250292273298357303343306257366374365378480381366407398422374310344366352371463495441479455446387375415406432489496537519363491491551476563403366372564507454515408300334262339391309298332362309341392484419399385261303477567335376346376607390390371389356286269268277289226214203208193300268191154167229161147229159218225274305253273229191183230163238
5전국 /101~135㎡983122616451469151113561181951146816142123164111438529979538548101048928793116512741136110510811227124011871135123491585392686788882910641438134411871391142513461394142713781531104811001313122110621206111310649671204148821541453131816931481132613411338142311691184132617679048961044116011219811019105991812691216158477477595111671219181483977876012771232133511381260124712591124110512541241132617041329129111101082147515261519149416841389131515061426145110638639911004108311821367138412811607152915368969051010102611821392147216861428974126713151525123215911132111911571184109011991535105583585562980885695990912811076106112831560190415481823143695611091930207512261185131615291844123997199411061143982872842797888653581541588611731633694430605346434348540359489541565779760607629623526612577665
6전국 /136~165㎡35542758152353749840232049154778472443233240036937536138331031039341737832932641846244247554037730133229532630539757548643649652647353151249150937841943945240445343538138442953687247944966459561153250953350145049773332235339139941142338832626938846157523226034742842864425725429744339142036940042045941039141039042553346544438435349153955158262449847453750750936534238539643044749947344552850645031031334635240247248148745333237438639036254836638835334829636746033030826120126626429827232532329836844355147151245633039357866541238439752860236533439039345937635830029328525422416615419624025722616218314716912715495125159160214181170197187164175156148
7전국 /166~198㎡1652373353013212692292062853204774662661972182292251902021861672562532111901652273092652702562001611571371631501592182202042132582182622532542491681992312171851952311871881912543161871832623122832692342492302302533481281601821992061861881841292022322881181211852172813541441521612422462542052222352562462322492112292822572732011912873203433533602982763423003252101892372502812883073092863203122872032022332382783043072822591902342452162073072332492232222172162602051941711351771701891612011841791952312892632722711992263114022542172382853382292272512673022202171991801831861891221241451721711511311301131231021086375102105117111103111971051069692
8전국 /198㎡초과1579901111199212439458097631142111017392300127311658899622181923198420322531141910708787596598991144108811691071785666659529618380520609733765972132883910671028922112770380530908587948557647386497501321191789478211701331130013301141108010511095121818016009919801033101114609911620909101110621493552745870111712902676686779814116112361555114721601342165913331520140112711576385915491677131514522641197720582233274321581692185617941854139511931454151816091720181917551528169017451736114011121344120713931442145315081385109313151461106090413341157117111271015989904119311781108865730960990882800908831795897101013321007102011381011984151915851387944913109215039288921168150913381081114498992192310489846416368648951038885685656580507498620302460478471501537505496466442492455461
9서울 /20㎡이하233444445789533343333455333554422223223333344434223332222223223334234558486711997410152110611101218141011151318131814710139891718191110171415141381315111112816101312151410131218111311101017151511221317111523101310131311131215106787119977111819151310101115138913151213151313161410111110122071381211987851065668889587107
지역 및 거래규모2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
2708제주 제주시/198㎡초과<NA><NA><NA><NA><NA><NA>425251275241452124154353363443539564357366667544464634612115687875771331711101110159681610191391114481914682813252115131116241616171717212412221630212517211824222218201710181319161620241810977181010657139910910161020211312121210131213491381691988131012131565811981110911126101391214789914951155672466898775947
2709제주 서귀포시/20㎡이하<NA><NA><NA><NA><NA><NA>0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000310112101000000000000000100000003011100000000000000000000000000000000000000000000000000000000000000000
2710제주 서귀포시/21~40㎡<NA><NA><NA><NA><NA><NA>0000111110002000101110100001010111011000010110100001011102011101110101001211111111122111121112111111211111111421431132111122112232111321111111113221235221421001112111131111112111111011111111220111111111111000101
2711제주 서귀포시/41~60㎡<NA><NA><NA><NA><NA><NA>1111233322111112222312111217222243221213222243322222222474433232222533222215622443233422333354333233896117555455615515533444433466776146565454443434443323336433422232223223345533366544556523333334432222223227632222222
2712제주 서귀포시/61~85㎡<NA><NA><NA><NA><NA><NA>22433696433343244374443242333464443262343676434433254676754327576176105549656857596712101077141413181689465410111429321823168121434375131272123264632422620241721353430201618191213139172117232017172614119891313108111178196999101199811179111317302017201918161615141216261325121417171098976579151096877988
2713제주 서귀포시/86~100㎡<NA><NA><NA><NA><NA><NA>01111121111112110111111110111112111111110111110111112211121111112221211121111211121211112322223222222323212221643332332223232333223423223423434221232324223332313132212333211223234343323342353462224220127221112111
2714제주 서귀포시/101~135㎡<NA><NA><NA><NA><NA><NA>1121112321111112222211211111111211111210211111111112122111111111121111111121121111122222332122113122322322222322332436455433343246431423222131322214221222113320121122333123364243432332376243374123211221222211112
2715제주 서귀포시/136~165㎡<NA><NA><NA><NA><NA><NA>0111211111011101101002101000000000101111111111121101311111111110250121111121111111122121112111311221013212212211322321112411242222211222223221222111132122111411122222313212223122221122322222142132312133221111211
2716제주 서귀포시/166~198㎡<NA><NA><NA><NA><NA><NA>1100111010011001110100010001000010110101101011010101111001100001021110010000100012110111101101111111012211121112211211121111111021111111110111121111111111111000111111112124311113422111111213221110111111101112122
2717제주 서귀포시/198㎡초과<NA><NA><NA><NA><NA><NA>012221011113111111101110224201131132171211243131111212112143211232122233211138125363233453544734655787128136191465811814109131397464101911113537655445867875425462825674273355324312544233435444653434930475612224432343335312518