Overview

Dataset statistics

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

Variable types

Text1
Numeric217

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 아파트매매 거래현황의 월별 거래규모별(동(호)수) 데이터입니다.-(단위 : 동(호)수)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068527/fileData.do

Alerts

2006-01 has 396 (14.6%) missing valuesMissing
2006-02 has 306 (11.3%) missing valuesMissing
2006-03 has 297 (10.9%) missing valuesMissing
2006-04 has 279 (10.3%) missing valuesMissing
2006-05 has 270 (9.9%) missing valuesMissing
2006-06 has 270 (9.9%) missing valuesMissing
2006-07 has 288 (10.6%) missing valuesMissing
2006-08 has 288 (10.6%) missing valuesMissing
2006-09 has 288 (10.6%) missing valuesMissing
2006-10 has 288 (10.6%) missing valuesMissing
2006-11 has 288 (10.6%) missing valuesMissing
2006-12 has 288 (10.6%) missing valuesMissing
2007-01 has 288 (10.6%) missing valuesMissing
2007-02 has 288 (10.6%) missing valuesMissing
2007-03 has 288 (10.6%) missing valuesMissing
2007-04 has 288 (10.6%) missing valuesMissing
2007-05 has 288 (10.6%) missing valuesMissing
2007-06 has 288 (10.6%) missing valuesMissing
2007-07 has 288 (10.6%) missing valuesMissing
2007-08 has 288 (10.6%) missing valuesMissing
2007-09 has 288 (10.6%) missing valuesMissing
2007-10 has 288 (10.6%) missing valuesMissing
2007-11 has 288 (10.6%) missing valuesMissing
2007-12 has 288 (10.6%) missing valuesMissing
2008-01 has 288 (10.6%) missing valuesMissing
2008-02 has 288 (10.6%) missing valuesMissing
2008-03 has 288 (10.6%) missing valuesMissing
2008-04 has 288 (10.6%) missing valuesMissing
2008-05 has 279 (10.3%) missing valuesMissing
2008-06 has 261 (9.6%) missing valuesMissing
2008-07 has 261 (9.6%) missing valuesMissing
2008-08 has 261 (9.6%) missing valuesMissing
2008-09 has 261 (9.6%) missing valuesMissing
2008-10 has 261 (9.6%) missing valuesMissing
2008-11 has 261 (9.6%) missing valuesMissing
2008-12 has 261 (9.6%) missing valuesMissing
2009-01 has 261 (9.6%) missing valuesMissing
2009-02 has 261 (9.6%) missing valuesMissing
2009-03 has 261 (9.6%) missing valuesMissing
2009-04 has 261 (9.6%) missing valuesMissing
2009-05 has 261 (9.6%) missing valuesMissing
2009-06 has 261 (9.6%) missing valuesMissing
2009-07 has 261 (9.6%) missing valuesMissing
2009-08 has 261 (9.6%) missing valuesMissing
2009-09 has 261 (9.6%) missing valuesMissing
2009-10 has 261 (9.6%) missing valuesMissing
2009-11 has 261 (9.6%) missing valuesMissing
2009-12 has 261 (9.6%) missing valuesMissing
2010-01 has 261 (9.6%) missing valuesMissing
2010-02 has 261 (9.6%) missing valuesMissing
2010-03 has 261 (9.6%) missing valuesMissing
2010-04 has 261 (9.6%) missing valuesMissing
2010-05 has 261 (9.6%) missing valuesMissing
2010-06 has 261 (9.6%) missing valuesMissing
2010-07 has 234 (8.6%) missing valuesMissing
2010-08 has 234 (8.6%) missing valuesMissing
2010-09 has 234 (8.6%) missing valuesMissing
2010-10 has 234 (8.6%) missing valuesMissing
2010-11 has 234 (8.6%) missing valuesMissing
2010-12 has 234 (8.6%) missing valuesMissing
2011-01 has 234 (8.6%) missing valuesMissing
2011-02 has 234 (8.6%) missing valuesMissing
2011-03 has 234 (8.6%) missing valuesMissing
2011-04 has 234 (8.6%) missing valuesMissing
2011-05 has 234 (8.6%) missing valuesMissing
2011-06 has 234 (8.6%) missing valuesMissing
2011-07 has 234 (8.6%) missing valuesMissing
2011-08 has 234 (8.6%) missing valuesMissing
2011-09 has 234 (8.6%) missing valuesMissing
2011-10 has 234 (8.6%) missing valuesMissing
2011-11 has 234 (8.6%) missing valuesMissing
2011-12 has 234 (8.6%) missing valuesMissing
2012-01 has 234 (8.6%) missing valuesMissing
2012-02 has 234 (8.6%) missing valuesMissing
2012-03 has 234 (8.6%) missing valuesMissing
2012-04 has 234 (8.6%) missing valuesMissing
2012-05 has 234 (8.6%) missing valuesMissing
2012-06 has 234 (8.6%) missing valuesMissing
2012-07 has 225 (8.3%) missing valuesMissing
2012-08 has 225 (8.3%) missing valuesMissing
2012-09 has 225 (8.3%) missing valuesMissing
2012-10 has 225 (8.3%) missing valuesMissing
2012-11 has 225 (8.3%) missing valuesMissing
2012-12 has 225 (8.3%) missing valuesMissing
2013-01 has 225 (8.3%) missing valuesMissing
2013-02 has 225 (8.3%) missing valuesMissing
2013-03 has 225 (8.3%) missing valuesMissing
2013-04 has 225 (8.3%) missing valuesMissing
2013-05 has 225 (8.3%) missing valuesMissing
2013-06 has 225 (8.3%) missing valuesMissing
2013-07 has 225 (8.3%) missing valuesMissing
2013-08 has 225 (8.3%) missing valuesMissing
2013-09 has 216 (7.9%) missing valuesMissing
2013-10 has 225 (8.3%) missing valuesMissing
2013-11 has 225 (8.3%) missing valuesMissing
2013-12 has 225 (8.3%) missing valuesMissing
2014-01 has 261 (9.6%) missing valuesMissing
2014-02 has 243 (8.9%) missing valuesMissing
2014-03 has 234 (8.6%) missing valuesMissing
2014-04 has 234 (8.6%) missing valuesMissing
2014-05 has 234 (8.6%) missing valuesMissing
2014-06 has 234 (8.6%) missing valuesMissing
2014-07 has 225 (8.3%) missing valuesMissing
2014-08 has 225 (8.3%) missing valuesMissing
2014-09 has 225 (8.3%) missing valuesMissing
2014-10 has 225 (8.3%) missing valuesMissing
2014-11 has 225 (8.3%) missing valuesMissing
2014-12 has 225 (8.3%) missing valuesMissing
2015-01 has 225 (8.3%) missing valuesMissing
2015-02 has 225 (8.3%) missing valuesMissing
2015-03 has 225 (8.3%) missing valuesMissing
2015-04 has 216 (7.9%) missing valuesMissing
2015-05 has 216 (7.9%) missing valuesMissing
2015-06 has 216 (7.9%) missing valuesMissing
2015-07 has 189 (7.0%) missing valuesMissing
2015-08 has 189 (7.0%) missing valuesMissing
2015-09 has 189 (7.0%) missing valuesMissing
2015-10 has 189 (7.0%) missing valuesMissing
2015-11 has 189 (7.0%) missing valuesMissing
2015-12 has 189 (7.0%) missing valuesMissing
2016-01 has 189 (7.0%) missing valuesMissing
2016-02 has 189 (7.0%) missing valuesMissing
2016-03 has 189 (7.0%) missing valuesMissing
2016-04 has 189 (7.0%) missing valuesMissing
2016-05 has 189 (7.0%) missing valuesMissing
2016-06 has 189 (7.0%) missing valuesMissing
2016-07 has 216 (7.9%) missing valuesMissing
2016-08 has 216 (7.9%) missing valuesMissing
2016-09 has 216 (7.9%) missing valuesMissing
2016-10 has 216 (7.9%) missing valuesMissing
2016-11 has 216 (7.9%) missing valuesMissing
2016-12 has 216 (7.9%) missing valuesMissing
2017-01 has 216 (7.9%) missing valuesMissing
2017-02 has 216 (7.9%) missing valuesMissing
2017-03 has 216 (7.9%) missing valuesMissing
2017-04 has 216 (7.9%) missing valuesMissing
2017-05 has 216 (7.9%) missing valuesMissing
2017-06 has 216 (7.9%) missing valuesMissing
2017-07 has 216 (7.9%) missing valuesMissing
2017-08 has 216 (7.9%) missing valuesMissing
2017-09 has 216 (7.9%) missing valuesMissing
2017-10 has 216 (7.9%) missing valuesMissing
2017-11 has 216 (7.9%) missing valuesMissing
2017-12 has 216 (7.9%) missing valuesMissing
2018-01 has 216 (7.9%) missing valuesMissing
2018-02 has 216 (7.9%) missing valuesMissing
2018-03 has 216 (7.9%) missing valuesMissing
2018-04 has 216 (7.9%) missing valuesMissing
2018-05 has 216 (7.9%) missing valuesMissing
2018-06 has 216 (7.9%) missing valuesMissing
2018-07 has 207 (7.6%) missing valuesMissing
2018-08 has 216 (7.9%) missing valuesMissing
2018-09 has 216 (7.9%) missing valuesMissing
2018-10 has 216 (7.9%) missing valuesMissing
2018-11 has 216 (7.9%) missing valuesMissing
2018-12 has 216 (7.9%) missing valuesMissing
2019-01 has 216 (7.9%) missing valuesMissing
2019-02 has 216 (7.9%) missing valuesMissing
2019-03 has 216 (7.9%) missing valuesMissing
2019-04 has 216 (7.9%) missing valuesMissing
2019-05 has 216 (7.9%) missing valuesMissing
2019-06 has 216 (7.9%) missing valuesMissing
2019-07 has 216 (7.9%) missing valuesMissing
2019-08 has 216 (7.9%) missing valuesMissing
2019-09 has 216 (7.9%) missing valuesMissing
2019-10 has 216 (7.9%) missing valuesMissing
2019-11 has 216 (7.9%) missing valuesMissing
2019-12 has 216 (7.9%) missing valuesMissing
2020-01 has 216 (7.9%) missing valuesMissing
2020-02 has 216 (7.9%) missing valuesMissing
2020-03 has 216 (7.9%) missing valuesMissing
2020-04 has 216 (7.9%) missing valuesMissing
2020-05 has 216 (7.9%) missing valuesMissing
2020-06 has 216 (7.9%) missing valuesMissing
2020-07 has 216 (7.9%) missing valuesMissing
2020-08 has 216 (7.9%) missing valuesMissing
2020-09 has 216 (7.9%) missing valuesMissing
2020-10 has 216 (7.9%) missing valuesMissing
2020-11 has 216 (7.9%) missing valuesMissing
2020-12 has 216 (7.9%) missing valuesMissing
2021-01 has 216 (7.9%) missing valuesMissing
2021-02 has 216 (7.9%) missing valuesMissing
2021-03 has 216 (7.9%) missing valuesMissing
2021-04 has 216 (7.9%) missing valuesMissing
2021-05 has 216 (7.9%) missing valuesMissing
2021-06 has 207 (7.6%) missing valuesMissing
2021-07 has 207 (7.6%) missing valuesMissing
2021-08 has 207 (7.6%) missing valuesMissing
2021-09 has 207 (7.6%) missing valuesMissing
2021-10 has 207 (7.6%) missing valuesMissing
2021-11 has 207 (7.6%) missing valuesMissing
2021-12 has 207 (7.6%) missing valuesMissing
2022-01 has 207 (7.6%) missing valuesMissing
2022-02 has 207 (7.6%) missing valuesMissing
2022-03 has 207 (7.6%) missing valuesMissing
2022-04 has 207 (7.6%) missing valuesMissing
2022-05 has 207 (7.6%) missing valuesMissing
2022-06 has 207 (7.6%) missing valuesMissing
2022-07 has 207 (7.6%) missing valuesMissing
2022-08 has 207 (7.6%) missing valuesMissing
2022-09 has 207 (7.6%) missing valuesMissing
2022-10 has 207 (7.6%) missing valuesMissing
2022-11 has 207 (7.6%) missing valuesMissing
2022-12 has 207 (7.6%) missing valuesMissing
2023-01 has 207 (7.6%) missing valuesMissing
2023-02 has 207 (7.6%) missing valuesMissing
2023-03 has 207 (7.6%) missing valuesMissing
2023-04 has 207 (7.6%) missing valuesMissing
2023-05 has 207 (7.6%) missing valuesMissing
2023-06 has 207 (7.6%) missing valuesMissing
2023-07 has 207 (7.6%) missing valuesMissing
2023-08 has 207 (7.6%) missing valuesMissing
2023-09 has 207 (7.6%) missing valuesMissing
2023-10 has 207 (7.6%) missing valuesMissing
2023-11 has 207 (7.6%) missing valuesMissing
2023-12 has 207 (7.6%) missing valuesMissing
2024-01 has 180 (6.6%) missing valuesMissing
2006-01 is highly skewed (γ1 = 25.5955584)Skewed
2006-02 is highly skewed (γ1 = 28.3603732)Skewed
2006-03 is highly skewed (γ1 = 27.52481328)Skewed
2006-04 is highly skewed (γ1 = 27.60941064)Skewed
2006-05 is highly skewed (γ1 = 27.08036712)Skewed
2006-06 is highly skewed (γ1 = 27.79869326)Skewed
2006-07 is highly skewed (γ1 = 27.90775175)Skewed
2006-08 is highly skewed (γ1 = 27.86651225)Skewed
2006-09 is highly skewed (γ1 = 27.1878102)Skewed
2006-10 is highly skewed (γ1 = 25.84852421)Skewed
2006-11 is highly skewed (γ1 = 26.4992385)Skewed
2006-12 is highly skewed (γ1 = 27.77827251)Skewed
2007-01 is highly skewed (γ1 = 28.86757079)Skewed
2007-02 is highly skewed (γ1 = 29.13107633)Skewed
2007-03 is highly skewed (γ1 = 29.58067264)Skewed
2007-04 is highly skewed (γ1 = 29.85606147)Skewed
2007-05 is highly skewed (γ1 = 29.36095084)Skewed
2007-06 is highly skewed (γ1 = 29.59093967)Skewed
2007-07 is highly skewed (γ1 = 28.46583531)Skewed
2007-08 is highly skewed (γ1 = 29.48913309)Skewed
2007-09 is highly skewed (γ1 = 29.048931)Skewed
2007-10 is highly skewed (γ1 = 28.92049377)Skewed
2007-11 is highly skewed (γ1 = 28.81210824)Skewed
2007-12 is highly skewed (γ1 = 29.26689104)Skewed
2008-01 is highly skewed (γ1 = 29.48259736)Skewed
2008-02 is highly skewed (γ1 = 29.25358304)Skewed
2008-03 is highly skewed (γ1 = 28.99098231)Skewed
2008-04 is highly skewed (γ1 = 28.54196751)Skewed
2008-05 is highly skewed (γ1 = 28.79242305)Skewed
2008-06 is highly skewed (γ1 = 28.77421209)Skewed
2008-07 is highly skewed (γ1 = 29.32603962)Skewed
2008-08 is highly skewed (γ1 = 29.56964251)Skewed
2008-09 is highly skewed (γ1 = 29.33994876)Skewed
2008-10 is highly skewed (γ1 = 28.56640962)Skewed
2008-11 is highly skewed (γ1 = 30.15138336)Skewed
2008-12 is highly skewed (γ1 = 29.01131502)Skewed
2009-01 is highly skewed (γ1 = 28.55489457)Skewed
2009-02 is highly skewed (γ1 = 28.1862507)Skewed
2009-03 is highly skewed (γ1 = 27.69511702)Skewed
2009-04 is highly skewed (γ1 = 28.33562166)Skewed
2009-05 is highly skewed (γ1 = 27.98676994)Skewed
2009-06 is highly skewed (γ1 = 28.34514595)Skewed
2009-07 is highly skewed (γ1 = 28.13422746)Skewed
2009-08 is highly skewed (γ1 = 28.02571673)Skewed
2009-09 is highly skewed (γ1 = 28.39337893)Skewed
2009-10 is highly skewed (γ1 = 28.5252248)Skewed
2009-11 is highly skewed (γ1 = 28.89347851)Skewed
2009-12 is highly skewed (γ1 = 29.0614207)Skewed
2010-01 is highly skewed (γ1 = 28.89925931)Skewed
2010-02 is highly skewed (γ1 = 28.93031003)Skewed
2010-03 is highly skewed (γ1 = 29.12120082)Skewed
2010-04 is highly skewed (γ1 = 29.26241262)Skewed
2010-05 is highly skewed (γ1 = 29.21266341)Skewed
2010-06 is highly skewed (γ1 = 28.92555179)Skewed
2010-07 is highly skewed (γ1 = 29.254591)Skewed
2010-08 is highly skewed (γ1 = 29.45407288)Skewed
2010-09 is highly skewed (γ1 = 29.32084241)Skewed
2010-10 is highly skewed (γ1 = 29.0033742)Skewed
2010-11 is highly skewed (γ1 = 28.91999851)Skewed
2010-12 is highly skewed (γ1 = 28.70174861)Skewed
2011-01 is highly skewed (γ1 = 28.82982832)Skewed
2011-02 is highly skewed (γ1 = 29.07729592)Skewed
2011-03 is highly skewed (γ1 = 28.55067974)Skewed
2011-04 is highly skewed (γ1 = 29.10322846)Skewed
2011-05 is highly skewed (γ1 = 28.5542168)Skewed
2011-06 is highly skewed (γ1 = 28.2577877)Skewed
2011-07 is highly skewed (γ1 = 28.30143343)Skewed
2011-08 is highly skewed (γ1 = 28.6043518)Skewed
2011-09 is highly skewed (γ1 = 28.27751207)Skewed
2011-10 is highly skewed (γ1 = 28.429251)Skewed
2011-11 is highly skewed (γ1 = 28.35344416)Skewed
2011-12 is highly skewed (γ1 = 29.28579893)Skewed
2012-01 is highly skewed (γ1 = 28.15991452)Skewed
2012-02 is highly skewed (γ1 = 28.56403157)Skewed
2012-03 is highly skewed (γ1 = 28.14954795)Skewed
2012-04 is highly skewed (γ1 = 28.51255774)Skewed
2012-05 is highly skewed (γ1 = 29.10140414)Skewed
2012-06 is highly skewed (γ1 = 28.19437293)Skewed
2012-07 is highly skewed (γ1 = 27.94648435)Skewed
2012-08 is highly skewed (γ1 = 28.03465089)Skewed
2012-09 is highly skewed (γ1 = 28.38173037)Skewed
2012-10 is highly skewed (γ1 = 28.69606276)Skewed
2012-11 is highly skewed (γ1 = 28.46488958)Skewed
2012-12 is highly skewed (γ1 = 28.18798621)Skewed
2013-01 is highly skewed (γ1 = 26.94888447)Skewed
2013-02 is highly skewed (γ1 = 29.2792845)Skewed
2013-03 is highly skewed (γ1 = 28.92661342)Skewed
2013-04 is highly skewed (γ1 = 28.77514183)Skewed
2013-05 is highly skewed (γ1 = 28.51713615)Skewed
2013-06 is highly skewed (γ1 = 29.04439447)Skewed
2013-07 is highly skewed (γ1 = 29.11684722)Skewed
2013-08 is highly skewed (γ1 = 29.02392699)Skewed
2013-09 is highly skewed (γ1 = 28.39503858)Skewed
2013-10 is highly skewed (γ1 = 28.25044319)Skewed
2013-11 is highly skewed (γ1 = 28.45979022)Skewed
2013-12 is highly skewed (γ1 = 28.61210629)Skewed
2014-01 is highly skewed (γ1 = 27.5666149)Skewed
2014-02 is highly skewed (γ1 = 28.13681499)Skewed
2014-03 is highly skewed (γ1 = 27.97974683)Skewed
2014-04 is highly skewed (γ1 = 28.36032777)Skewed
2014-05 is highly skewed (γ1 = 28.19857137)Skewed
2014-06 is highly skewed (γ1 = 28.30110962)Skewed
2014-07 is highly skewed (γ1 = 28.58411242)Skewed
2014-08 is highly skewed (γ1 = 28.02278605)Skewed
2014-09 is highly skewed (γ1 = 27.78330675)Skewed
2014-10 is highly skewed (γ1 = 27.66262645)Skewed
2014-11 is highly skewed (γ1 = 28.31237963)Skewed
2014-12 is highly skewed (γ1 = 28.46583898)Skewed
2015-01 is highly skewed (γ1 = 28.34947534)Skewed
2015-02 is highly skewed (γ1 = 28.43207937)Skewed
2015-03 is highly skewed (γ1 = 28.18729778)Skewed
2015-04 is highly skewed (γ1 = 28.15532071)Skewed
2015-05 is highly skewed (γ1 = 28.08979424)Skewed
2015-06 is highly skewed (γ1 = 28.07178996)Skewed
2015-07 is highly skewed (γ1 = 28.19310284)Skewed
2015-08 is highly skewed (γ1 = 27.97195775)Skewed
2015-09 is highly skewed (γ1 = 28.11723882)Skewed
2015-10 is highly skewed (γ1 = 28.18130206)Skewed
2015-11 is highly skewed (γ1 = 28.6012167)Skewed
2015-12 is highly skewed (γ1 = 28.45251142)Skewed
2016-01 is highly skewed (γ1 = 28.42273647)Skewed
2016-02 is highly skewed (γ1 = 28.90218327)Skewed
2016-03 is highly skewed (γ1 = 28.71936162)Skewed
2016-04 is highly skewed (γ1 = 28.88524484)Skewed
2016-05 is highly skewed (γ1 = 28.20281242)Skewed
2016-06 is highly skewed (γ1 = 27.75861675)Skewed
2016-07 is highly skewed (γ1 = 27.30384849)Skewed
2016-08 is highly skewed (γ1 = 27.73785913)Skewed
2016-09 is highly skewed (γ1 = 27.7158913)Skewed
2016-10 is highly skewed (γ1 = 28.00058673)Skewed
2016-11 is highly skewed (γ1 = 28.38358172)Skewed
2016-12 is highly skewed (γ1 = 27.04906105)Skewed
2017-01 is highly skewed (γ1 = 29.16003885)Skewed
2017-02 is highly skewed (γ1 = 29.063571)Skewed
2017-03 is highly skewed (γ1 = 28.54901995)Skewed
2017-04 is highly skewed (γ1 = 28.5092835)Skewed
2017-05 is highly skewed (γ1 = 28.15999772)Skewed
2017-06 is highly skewed (γ1 = 27.80838727)Skewed
2017-07 is highly skewed (γ1 = 27.58868635)Skewed
2017-08 is highly skewed (γ1 = 27.82764933)Skewed
2017-09 is highly skewed (γ1 = 28.41617001)Skewed
2017-10 is highly skewed (γ1 = 28.8720781)Skewed
2017-11 is highly skewed (γ1 = 28.85993232)Skewed
2017-12 is highly skewed (γ1 = 29.11186389)Skewed
2018-01 is highly skewed (γ1 = 28.74941496)Skewed
2018-02 is highly skewed (γ1 = 27.80292616)Skewed
2018-03 is highly skewed (γ1 = 27.60831589)Skewed
2018-04 is highly skewed (γ1 = 28.83309808)Skewed
2018-05 is highly skewed (γ1 = 28.55823503)Skewed
2018-06 is highly skewed (γ1 = 28.79216599)Skewed
2018-07 is highly skewed (γ1 = 28.5820022)Skewed
2018-08 is highly skewed (γ1 = 28.06823186)Skewed
2018-09 is highly skewed (γ1 = 26.97417957)Skewed
2018-10 is highly skewed (γ1 = 27.8346476)Skewed
2018-11 is highly skewed (γ1 = 29.29562906)Skewed
2018-12 is highly skewed (γ1 = 29.5386995)Skewed
2019-01 is highly skewed (γ1 = 29.6502288)Skewed
2019-02 is highly skewed (γ1 = 29.62690174)Skewed
2019-03 is highly skewed (γ1 = 29.70329917)Skewed
2019-04 is highly skewed (γ1 = 29.93529208)Skewed
2019-05 is highly skewed (γ1 = 29.66232126)Skewed
2019-06 is highly skewed (γ1 = 29.49183367)Skewed
2019-07 is highly skewed (γ1 = 29.57280417)Skewed
2019-08 is highly skewed (γ1 = 29.73110936)Skewed
2019-09 is highly skewed (γ1 = 30.06699073)Skewed
2019-10 is highly skewed (γ1 = 29.8352059)Skewed
2019-11 is highly skewed (γ1 = 29.57416956)Skewed
2019-12 is highly skewed (γ1 = 29.9476069)Skewed
2020-01 is highly skewed (γ1 = 29.3249331)Skewed
2020-02 is highly skewed (γ1 = 28.59746876)Skewed
2020-03 is highly skewed (γ1 = 28.26647543)Skewed
2020-04 is highly skewed (γ1 = 29.38969216)Skewed
2020-05 is highly skewed (γ1 = 29.19026773)Skewed
2020-06 is highly skewed (γ1 = 28.84166612)Skewed
2020-07 is highly skewed (γ1 = 29.00780764)Skewed
2020-08 is highly skewed (γ1 = 29.76638116)Skewed
2020-09 is highly skewed (γ1 = 29.96267952)Skewed
2020-10 is highly skewed (γ1 = 29.79378995)Skewed
2020-11 is highly skewed (γ1 = 30.22494676)Skewed
2020-12 is highly skewed (γ1 = 29.60273293)Skewed
2021-01 is highly skewed (γ1 = 28.65320715)Skewed
2021-02 is highly skewed (γ1 = 28.47371165)Skewed
2021-03 is highly skewed (γ1 = 28.93303921)Skewed
2021-04 is highly skewed (γ1 = 29.16821096)Skewed
2021-05 is highly skewed (γ1 = 29.18321552)Skewed
2021-06 is highly skewed (γ1 = 29.48423222)Skewed
2021-07 is highly skewed (γ1 = 29.32690685)Skewed
2021-08 is highly skewed (γ1 = 29.47392985)Skewed
2021-09 is highly skewed (γ1 = 29.29222579)Skewed
2021-10 is highly skewed (γ1 = 29.75509037)Skewed
2021-11 is highly skewed (γ1 = 30.07372379)Skewed
2021-12 is highly skewed (γ1 = 29.79791271)Skewed
2022-01 is highly skewed (γ1 = 29.70496793)Skewed
2022-02 is highly skewed (γ1 = 29.85658926)Skewed
2022-03 is highly skewed (γ1 = 29.76121571)Skewed
2022-04 is highly skewed (γ1 = 29.67780075)Skewed
2022-05 is highly skewed (γ1 = 29.44415435)Skewed
2022-06 is highly skewed (γ1 = 29.64829287)Skewed
2022-07 is highly skewed (γ1 = 29.53869425)Skewed
2022-08 is highly skewed (γ1 = 29.66944385)Skewed
2022-09 is highly skewed (γ1 = 29.80706107)Skewed
2022-10 is highly skewed (γ1 = 30.13838591)Skewed
2022-11 is highly skewed (γ1 = 29.92124167)Skewed
2022-12 is highly skewed (γ1 = 30.75285214)Skewed
2023-01 is highly skewed (γ1 = 30.45435976)Skewed
2023-02 is highly skewed (γ1 = 30.93996896)Skewed
2023-03 is highly skewed (γ1 = 31.09213322)Skewed
2023-04 is highly skewed (γ1 = 30.90485494)Skewed
2023-05 is highly skewed (γ1 = 30.14929625)Skewed
2023-06 is highly skewed (γ1 = 30.42307632)Skewed
2023-07 is highly skewed (γ1 = 30.78952715)Skewed
2023-08 is highly skewed (γ1 = 30.54347762)Skewed
2023-09 is highly skewed (γ1 = 30.88462569)Skewed
2023-10 is highly skewed (γ1 = 31.02463922)Skewed
2023-11 is highly skewed (γ1 = 30.52627594)Skewed
2023-12 is highly skewed (γ1 = 30.84042804)Skewed
2024-01 is highly skewed (γ1 = 30.93251558)Skewed
아파트매매 거래규모별 has unique valuesUnique
2006-01 has 1260 (46.4%) zerosZeros
2006-02 has 1083 (39.8%) zerosZeros
2006-03 has 1011 (37.2%) zerosZeros
2006-04 has 1036 (38.1%) zerosZeros
2006-05 has 1044 (38.4%) zerosZeros
2006-06 has 1053 (38.7%) zerosZeros
2006-07 has 1086 (40.0%) zerosZeros
2006-08 has 1118 (41.1%) zerosZeros
2006-09 has 1016 (37.4%) zerosZeros
2006-10 has 1028 (37.8%) zerosZeros
2006-11 has 957 (35.2%) zerosZeros
2006-12 has 976 (35.9%) zerosZeros
2007-01 has 1021 (37.6%) zerosZeros
2007-02 has 1081 (39.8%) zerosZeros
2007-03 has 1061 (39.0%) zerosZeros
2007-04 has 1094 (40.3%) zerosZeros
2007-05 has 1082 (39.8%) zerosZeros
2007-06 has 1107 (40.7%) zerosZeros
2007-07 has 1019 (37.5%) zerosZeros
2007-08 has 1052 (38.7%) zerosZeros
2007-09 has 1119 (41.2%) zerosZeros
2007-10 has 1031 (37.9%) zerosZeros
2007-11 has 1034 (38.0%) zerosZeros
2007-12 has 1062 (39.1%) zerosZeros
2008-01 has 1081 (39.8%) zerosZeros
2008-02 has 1074 (39.5%) zerosZeros
2008-03 has 992 (36.5%) zerosZeros
2008-04 has 987 (36.3%) zerosZeros
2008-05 has 1009 (37.1%) zerosZeros
2008-06 has 1018 (37.5%) zerosZeros
2008-07 has 1041 (38.3%) zerosZeros
2008-08 has 1065 (39.2%) zerosZeros
2008-09 has 1066 (39.2%) zerosZeros
2008-10 has 1079 (39.7%) zerosZeros
2008-11 has 1133 (41.7%) zerosZeros
2008-12 has 1116 (41.1%) zerosZeros
2009-01 has 1197 (44.0%) zerosZeros
2009-02 has 1064 (39.1%) zerosZeros
2009-03 has 1023 (37.6%) zerosZeros
2009-04 has 977 (35.9%) zerosZeros
2009-05 has 1026 (37.7%) zerosZeros
2009-06 has 975 (35.9%) zerosZeros
2009-07 has 971 (35.7%) zerosZeros
2009-08 has 997 (36.7%) zerosZeros
2009-09 has 984 (36.2%) zerosZeros
2009-10 has 985 (36.2%) zerosZeros
2009-11 has 999 (36.8%) zerosZeros
2009-12 has 983 (36.2%) zerosZeros
2010-01 has 1028 (37.8%) zerosZeros
2010-02 has 1008 (37.1%) zerosZeros
2010-03 has 970 (35.7%) zerosZeros
2010-04 has 1003 (36.9%) zerosZeros
2010-05 has 1027 (37.8%) zerosZeros
2010-06 has 1026 (37.7%) zerosZeros
2010-07 has 1047 (38.5%) zerosZeros
2010-08 has 1079 (39.7%) zerosZeros
2010-09 has 1081 (39.8%) zerosZeros
2010-10 has 1027 (37.8%) zerosZeros
2010-11 has 994 (36.6%) zerosZeros
2010-12 has 977 (35.9%) zerosZeros
2011-01 has 1016 (37.4%) zerosZeros
2011-02 has 1006 (37.0%) zerosZeros
2011-03 has 960 (35.3%) zerosZeros
2011-04 has 951 (35.0%) zerosZeros
2011-05 has 966 (35.5%) zerosZeros
2011-06 has 976 (35.9%) zerosZeros
2011-07 has 988 (36.4%) zerosZeros
2011-08 has 994 (36.6%) zerosZeros
2011-09 has 999 (36.8%) zerosZeros
2011-10 has 979 (36.0%) zerosZeros
2011-11 has 972 (35.8%) zerosZeros
2011-12 has 895 (32.9%) zerosZeros
2012-01 has 1189 (43.7%) zerosZeros
2012-02 has 1020 (37.5%) zerosZeros
2012-03 has 995 (36.6%) zerosZeros
2012-04 has 996 (36.6%) zerosZeros
2012-05 has 1022 (37.6%) zerosZeros
2012-06 has 1030 (37.9%) zerosZeros
2012-07 has 1054 (38.8%) zerosZeros
2012-08 has 1058 (38.9%) zerosZeros
2012-09 has 1092 (40.2%) zerosZeros
2012-10 has 988 (36.4%) zerosZeros
2012-11 has 972 (35.8%) zerosZeros
2012-12 has 918 (33.8%) zerosZeros
2013-01 has 1199 (44.1%) zerosZeros
2013-02 has 1063 (39.1%) zerosZeros
2013-03 has 991 (36.5%) zerosZeros
2013-04 has 963 (35.4%) zerosZeros
2013-05 has 953 (35.1%) zerosZeros
2013-06 has 874 (32.2%) zerosZeros
2013-07 has 1096 (40.3%) zerosZeros
2013-08 has 1092 (40.2%) zerosZeros
2013-09 has 1043 (38.4%) zerosZeros
2013-10 has 958 (35.2%) zerosZeros
2013-11 has 947 (34.8%) zerosZeros
2013-12 has 926 (34.1%) zerosZeros
2014-01 has 941 (34.6%) zerosZeros
2014-02 has 920 (33.8%) zerosZeros
2014-03 has 899 (33.1%) zerosZeros
2014-04 has 918 (33.8%) zerosZeros
2014-05 has 913 (33.6%) zerosZeros
2014-06 has 946 (34.8%) zerosZeros
2014-07 has 934 (34.4%) zerosZeros
2014-08 has 949 (34.9%) zerosZeros
2014-09 has 924 (34.0%) zerosZeros
2014-10 has 856 (31.5%) zerosZeros
2014-11 has 903 (33.2%) zerosZeros
2014-12 has 912 (33.6%) zerosZeros
2015-01 has 913 (33.6%) zerosZeros
2015-02 has 942 (34.7%) zerosZeros
2015-03 has 886 (32.6%) zerosZeros
2015-04 has 878 (32.3%) zerosZeros
2015-05 has 843 (31.0%) zerosZeros
2015-06 has 877 (32.3%) zerosZeros
2015-07 has 883 (32.5%) zerosZeros
2015-08 has 907 (33.4%) zerosZeros
2015-09 has 941 (34.6%) zerosZeros
2015-10 has 909 (33.4%) zerosZeros
2015-11 has 918 (33.8%) zerosZeros
2015-12 has 896 (33.0%) zerosZeros
2016-01 has 977 (35.9%) zerosZeros
2016-02 has 986 (36.3%) zerosZeros
2016-03 has 912 (33.6%) zerosZeros
2016-04 has 914 (33.6%) zerosZeros
2016-05 has 959 (35.3%) zerosZeros
2016-06 has 908 (33.4%) zerosZeros
2016-07 has 936 (34.4%) zerosZeros
2016-08 has 931 (34.3%) zerosZeros
2016-09 has 935 (34.4%) zerosZeros
2016-10 has 900 (33.1%) zerosZeros
2016-11 has 902 (33.2%) zerosZeros
2016-12 has 907 (33.4%) zerosZeros
2017-01 has 926 (34.1%) zerosZeros
2017-02 has 918 (33.8%) zerosZeros
2017-03 has 930 (34.2%) zerosZeros
2017-04 has 931 (34.3%) zerosZeros
2017-05 has 933 (34.3%) zerosZeros
2017-06 has 905 (33.3%) zerosZeros
2017-07 has 910 (33.5%) zerosZeros
2017-08 has 911 (33.5%) zerosZeros
2017-09 has 924 (34.0%) zerosZeros
2017-10 has 987 (36.3%) zerosZeros
2017-11 has 938 (34.5%) zerosZeros
2017-12 has 937 (34.5%) zerosZeros
2018-01 has 943 (34.7%) zerosZeros
2018-02 has 939 (34.5%) zerosZeros
2018-03 has 894 (32.9%) zerosZeros
2018-04 has 958 (35.2%) zerosZeros
2018-05 has 946 (34.8%) zerosZeros
2018-06 has 971 (35.7%) zerosZeros
2018-07 has 972 (35.8%) zerosZeros
2018-08 has 972 (35.8%) zerosZeros
2018-09 has 956 (35.2%) zerosZeros
2018-10 has 910 (33.5%) zerosZeros
2018-11 has 965 (35.5%) zerosZeros
2018-12 has 969 (35.7%) zerosZeros
2019-01 has 978 (36.0%) zerosZeros
2019-02 has 1008 (37.1%) zerosZeros
2019-03 has 971 (35.7%) zerosZeros
2019-04 has 963 (35.4%) zerosZeros
2019-05 has 973 (35.8%) zerosZeros
2019-06 has 994 (36.6%) zerosZeros
2019-07 has 947 (34.8%) zerosZeros
2019-08 has 961 (35.4%) zerosZeros
2019-09 has 973 (35.8%) zerosZeros
2019-10 has 906 (33.3%) zerosZeros
2019-11 has 910 (33.5%) zerosZeros
2019-12 has 861 (31.7%) zerosZeros
2020-01 has 886 (32.6%) zerosZeros
2020-02 has 858 (31.6%) zerosZeros
2020-03 has 867 (31.9%) zerosZeros
2020-04 has 919 (33.8%) zerosZeros
2020-05 has 907 (33.4%) zerosZeros
2020-06 has 856 (31.5%) zerosZeros
2020-07 has 806 (29.7%) zerosZeros
2020-08 has 894 (32.9%) zerosZeros
2020-09 has 883 (32.5%) zerosZeros
2020-10 has 913 (33.6%) zerosZeros
2020-11 has 839 (30.9%) zerosZeros
2020-12 has 816 (30.0%) zerosZeros
2021-01 has 902 (33.2%) zerosZeros
2021-02 has 898 (33.0%) zerosZeros
2021-03 has 906 (33.3%) zerosZeros
2021-04 has 900 (33.1%) zerosZeros
2021-05 has 898 (33.0%) zerosZeros
2021-06 has 941 (34.6%) zerosZeros
2021-07 has 951 (35.0%) zerosZeros
2021-08 has 945 (34.8%) zerosZeros
2021-09 has 985 (36.2%) zerosZeros
2021-10 has 989 (36.4%) zerosZeros
2021-11 has 1016 (37.4%) zerosZeros
2021-12 has 1022 (37.6%) zerosZeros
2022-01 has 1093 (40.2%) zerosZeros
2022-02 has 1108 (40.8%) zerosZeros
2022-03 has 1056 (38.9%) zerosZeros
2022-04 has 1024 (37.7%) zerosZeros
2022-05 has 974 (35.8%) zerosZeros
2022-06 has 1040 (38.3%) zerosZeros
2022-07 has 1120 (41.2%) zerosZeros
2022-08 has 1153 (42.4%) zerosZeros
2022-09 has 1140 (41.9%) zerosZeros
2022-10 has 1164 (42.8%) zerosZeros
2022-11 has 1206 (44.4%) zerosZeros
2022-12 has 1158 (42.6%) zerosZeros
2023-01 has 1184 (43.6%) zerosZeros
2023-02 has 1076 (39.6%) zerosZeros
2023-03 has 988 (36.4%) zerosZeros
2023-04 has 1028 (37.8%) zerosZeros
2023-05 has 1017 (37.4%) zerosZeros
2023-06 has 1014 (37.3%) zerosZeros
2023-07 has 1008 (37.1%) zerosZeros
2023-08 has 987 (36.3%) zerosZeros
2023-09 has 1019 (37.5%) zerosZeros
2023-10 has 1003 (36.9%) zerosZeros
2023-11 has 1004 (36.9%) zerosZeros
2023-12 has 1083 (39.8%) zerosZeros
2024-01 has 1039 (38.2%) zerosZeros

Reproduction

Analysis started2024-03-23 06:47:38.583318
Analysis finished2024-03-23 06:47:42.803148
Duration4.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2718
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2024-03-23T06:47:43.219625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length14.034216
Min length9

Characters and Unicode

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

Unique

Unique2718 ?
Unique (%)100.0%

Sample

1st row전국 /20㎡이하
2nd row전국 /21~40㎡
3rd row전국 /41~60㎡
4th row전국 /61~85㎡
5th row전국 /86~100㎡
ValueCountFrequency (%)
경기 504
 
9.3%
경남 243
 
4.5%
서울 234
 
4.3%
경북 234
 
4.3%
전남 207
 
3.8%
충북 180
 
3.3%
충남 180
 
3.3%
강원 171
 
3.1%
부산 153
 
2.8%
전북 153
 
2.8%
Other values (2349) 3177
58.4%
2024-03-23T06:47:44.621876image/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 

Distinct131
Distinct (%)5.6%
Missing396
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean17.268734
Minimum0
Maximum5009
Zeros1260
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:45.196108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile47.95
Maximum5009
Range5009
Interquartile range (IQR)4

Descriptive statistics

Standard deviation159.25558
Coefficient of variation (CV)9.2221922
Kurtosis744.19765
Mean17.268734
Median Absolute Deviation (MAD)0
Skewness25.595558
Sum40098
Variance25362.341
MonotonicityNot monotonic
2024-03-23T06:47:45.669710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1260
46.4%
1 231
 
8.5%
2 122
 
4.5%
3 82
 
3.0%
4 66
 
2.4%
5 41
 
1.5%
7 36
 
1.3%
6 30
 
1.1%
9 25
 
0.9%
11 21
 
0.8%
Other values (121) 408
 
15.0%
(Missing) 396
 
14.6%
ValueCountFrequency (%)
0 1260
46.4%
1 231
 
8.5%
2 122
 
4.5%
3 82
 
3.0%
4 66
 
2.4%
5 41
 
1.5%
6 30
 
1.1%
7 36
 
1.3%
8 19
 
0.7%
9 25
 
0.9%
ValueCountFrequency (%)
5009 1
< 0.1%
4668 1
< 0.1%
2067 1
< 0.1%
1242 2
0.1%
1023 1
< 0.1%
720 1
< 0.1%
712 1
< 0.1%
613 1
< 0.1%
547 1
< 0.1%
424 1
< 0.1%

2006-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct246
Distinct (%)10.2%
Missing306
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean53.88806
Minimum0
Maximum18574
Zeros1083
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:46.236704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile158.35
Maximum18574
Range18574
Interquartile range (IQR)13

Descriptive statistics

Standard deviation530.54543
Coefficient of variation (CV)9.8453245
Kurtosis903.59344
Mean53.88806
Median Absolute Deviation (MAD)1
Skewness28.360373
Sum129978
Variance281478.46
MonotonicityNot monotonic
2024-03-23T06:47:46.832381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
39.8%
1 180
 
6.6%
2 137
 
5.0%
3 73
 
2.7%
4 71
 
2.6%
5 56
 
2.1%
6 42
 
1.5%
7 40
 
1.5%
9 32
 
1.2%
8 31
 
1.1%
Other values (236) 667
24.5%
(Missing) 306
 
11.3%
ValueCountFrequency (%)
0 1083
39.8%
1 180
 
6.6%
2 137
 
5.0%
3 73
 
2.7%
4 71
 
2.6%
5 56
 
2.1%
6 42
 
1.5%
7 40
 
1.5%
8 31
 
1.1%
9 32
 
1.2%
ValueCountFrequency (%)
18574 1
< 0.1%
15286 1
< 0.1%
5012 1
< 0.1%
4559 1
< 0.1%
3102 1
< 0.1%
2977 1
< 0.1%
2775 1
< 0.1%
2320 1
< 0.1%
1453 1
< 0.1%
1179 1
< 0.1%

2006-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct315
Distinct (%)13.0%
Missing297
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean85.907889
Minimum0
Maximum27617
Zeros1011
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:47.375908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile255
Maximum27617
Range27617
Interquartile range (IQR)20

Descriptive statistics

Standard deviation826.64782
Coefficient of variation (CV)9.6224902
Kurtosis850.97229
Mean85.907889
Median Absolute Deviation (MAD)2
Skewness27.524813
Sum207983
Variance683346.62
MonotonicityNot monotonic
2024-03-23T06:47:48.003411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1011
37.2%
1 174
 
6.4%
2 102
 
3.8%
4 74
 
2.7%
3 72
 
2.6%
6 43
 
1.6%
7 42
 
1.5%
5 38
 
1.4%
9 38
 
1.4%
11 27
 
1.0%
Other values (305) 800
29.4%
(Missing) 297
 
10.9%
ValueCountFrequency (%)
0 1011
37.2%
1 174
 
6.4%
2 102
 
3.8%
3 72
 
2.6%
4 74
 
2.7%
5 38
 
1.4%
6 43
 
1.6%
7 42
 
1.5%
8 25
 
0.9%
9 38
 
1.4%
ValueCountFrequency (%)
27617 1
< 0.1%
24885 1
< 0.1%
8248 1
< 0.1%
7459 1
< 0.1%
5838 1
< 0.1%
5487 1
< 0.1%
4255 1
< 0.1%
3784 1
< 0.1%
2300 1
< 0.1%
2178 1
< 0.1%

2006-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct301
Distinct (%)12.3%
Missing279
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean78.481345
Minimum0
Maximum25247
Zeros1036
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:48.626991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q319
95-th percentile250.1
Maximum25247
Range25247
Interquartile range (IQR)19

Descriptive statistics

Standard deviation760.71374
Coefficient of variation (CV)9.6929244
Kurtosis855.02128
Mean78.481345
Median Absolute Deviation (MAD)1
Skewness27.609411
Sum191416
Variance578685.4
MonotonicityNot monotonic
2024-03-23T06:47:49.102916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1036
38.1%
1 188
 
6.9%
2 106
 
3.9%
3 80
 
2.9%
4 63
 
2.3%
6 45
 
1.7%
5 44
 
1.6%
7 36
 
1.3%
10 35
 
1.3%
9 31
 
1.1%
Other values (291) 775
28.5%
(Missing) 279
 
10.3%
ValueCountFrequency (%)
0 1036
38.1%
1 188
 
6.9%
2 106
 
3.9%
3 80
 
2.9%
4 63
 
2.3%
5 44
 
1.6%
6 45
 
1.7%
7 36
 
1.3%
8 26
 
1.0%
9 31
 
1.1%
ValueCountFrequency (%)
25247 1
< 0.1%
23294 1
< 0.1%
7227 1
< 0.1%
7183 1
< 0.1%
5458 1
< 0.1%
5023 1
< 0.1%
4115 1
< 0.1%
3429 1
< 0.1%
2212 1
< 0.1%
1626 1
< 0.1%

2006-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct301
Distinct (%)12.3%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean76.512255
Minimum0
Maximum23801
Zeros1044
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:49.774780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q318
95-th percentile243.65
Maximum23801
Range23801
Interquartile range (IQR)18

Descriptive statistics

Standard deviation741.85061
Coefficient of variation (CV)9.6958404
Kurtosis824.31262
Mean76.512255
Median Absolute Deviation (MAD)1
Skewness27.080367
Sum187302
Variance550342.33
MonotonicityNot monotonic
2024-03-23T06:47:50.370361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1044
38.4%
1 199
 
7.3%
2 90
 
3.3%
3 81
 
3.0%
4 61
 
2.2%
5 55
 
2.0%
7 47
 
1.7%
6 38
 
1.4%
11 26
 
1.0%
14 25
 
0.9%
Other values (291) 782
28.8%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 1044
38.4%
1 199
 
7.3%
2 90
 
3.3%
3 81
 
3.0%
4 61
 
2.2%
5 55
 
2.0%
6 38
 
1.4%
7 47
 
1.7%
8 20
 
0.7%
9 21
 
0.8%
ValueCountFrequency (%)
23801 1
< 0.1%
23209 1
< 0.1%
7727 1
< 0.1%
7608 1
< 0.1%
5214 1
< 0.1%
5050 1
< 0.1%
4102 1
< 0.1%
4009 1
< 0.1%
2125 1
< 0.1%
1628 1
< 0.1%

2006-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct268
Distinct (%)10.9%
Missing270
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean65.551471
Minimum0
Maximum22149
Zeros1053
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:50.795714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile198.65
Maximum22149
Range22149
Interquartile range (IQR)15

Descriptive statistics

Standard deviation649.95273
Coefficient of variation (CV)9.9151511
Kurtosis867.0111
Mean65.551471
Median Absolute Deviation (MAD)1
Skewness27.798693
Sum160470
Variance422438.55
MonotonicityNot monotonic
2024-03-23T06:47:51.316281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1053
38.7%
1 216
 
7.9%
2 104
 
3.8%
4 89
 
3.3%
3 70
 
2.6%
6 45
 
1.7%
5 43
 
1.6%
7 40
 
1.5%
8 35
 
1.3%
9 33
 
1.2%
Other values (258) 720
26.5%
(Missing) 270
 
9.9%
ValueCountFrequency (%)
0 1053
38.7%
1 216
 
7.9%
2 104
 
3.8%
3 70
 
2.6%
4 89
 
3.3%
5 43
 
1.6%
6 45
 
1.7%
7 40
 
1.5%
8 35
 
1.3%
9 33
 
1.2%
ValueCountFrequency (%)
22149 1
< 0.1%
19290 1
< 0.1%
6740 1
< 0.1%
6725 1
< 0.1%
4059 1
< 0.1%
3626 1
< 0.1%
3107 1
< 0.1%
2971 1
< 0.1%
1985 1
< 0.1%
1723 1
< 0.1%

2006-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct252
Distinct (%)10.4%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean51.57572
Minimum0
Maximum17237
Zeros1086
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:51.834961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile160.55
Maximum17237
Range17237
Interquartile range (IQR)13

Descriptive statistics

Standard deviation506.84052
Coefficient of variation (CV)9.8271148
Kurtosis871.27192
Mean51.57572
Median Absolute Deviation (MAD)1
Skewness27.907752
Sum125329
Variance256887.31
MonotonicityNot monotonic
2024-03-23T06:47:52.372319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
40.0%
1 211
 
7.8%
2 135
 
5.0%
3 75
 
2.8%
4 56
 
2.1%
5 49
 
1.8%
6 45
 
1.7%
8 31
 
1.1%
9 29
 
1.1%
7 27
 
1.0%
Other values (242) 686
25.2%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1086
40.0%
1 211
 
7.8%
2 135
 
5.0%
3 75
 
2.8%
4 56
 
2.1%
5 49
 
1.8%
6 45
 
1.7%
7 27
 
1.0%
8 31
 
1.1%
9 29
 
1.1%
ValueCountFrequency (%)
17237 1
< 0.1%
15081 1
< 0.1%
5435 1
< 0.1%
4749 1
< 0.1%
2969 1
< 0.1%
2812 1
< 0.1%
2731 1
< 0.1%
2345 1
< 0.1%
1134 1
< 0.1%
1103 1
< 0.1%

2006-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct246
Distinct (%)10.1%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean52.996708
Minimum0
Maximum18466
Zeros1118
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:52.904282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile157
Maximum18466
Range18466
Interquartile range (IQR)12

Descriptive statistics

Standard deviation530.02142
Coefficient of variation (CV)10.001025
Kurtosis874.03727
Mean52.996708
Median Absolute Deviation (MAD)1
Skewness27.866512
Sum128782
Variance280922.71
MonotonicityNot monotonic
2024-03-23T06:47:53.498682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1118
41.1%
1 178
 
6.5%
2 117
 
4.3%
3 101
 
3.7%
4 66
 
2.4%
5 49
 
1.8%
7 43
 
1.6%
6 37
 
1.4%
8 32
 
1.2%
9 30
 
1.1%
Other values (236) 659
24.2%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1118
41.1%
1 178
 
6.5%
2 117
 
4.3%
3 101
 
3.7%
4 66
 
2.4%
5 49
 
1.8%
6 37
 
1.4%
7 43
 
1.6%
8 32
 
1.2%
9 30
 
1.1%
ValueCountFrequency (%)
18466 1
< 0.1%
15037 1
< 0.1%
6189 1
< 0.1%
5164 1
< 0.1%
2999 1
< 0.1%
2773 1
< 0.1%
2769 1
< 0.1%
2737 1
< 0.1%
1568 1
< 0.1%
1194 1
< 0.1%

2006-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct332
Distinct (%)13.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean92.57284
Minimum0
Maximum30061
Zeros1016
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:54.790139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile282.55
Maximum30061
Range30061
Interquartile range (IQR)21

Descriptive statistics

Standard deviation924.5384
Coefficient of variation (CV)9.9871453
Kurtosis825.14187
Mean92.57284
Median Absolute Deviation (MAD)2
Skewness27.18781
Sum224952
Variance854771.25
MonotonicityNot monotonic
2024-03-23T06:47:55.622890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1016
37.4%
1 192
 
7.1%
2 112
 
4.1%
3 66
 
2.4%
4 60
 
2.2%
5 49
 
1.8%
6 41
 
1.5%
7 36
 
1.3%
10 28
 
1.0%
8 27
 
1.0%
Other values (322) 803
29.5%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1016
37.4%
1 192
 
7.1%
2 112
 
4.1%
3 66
 
2.4%
4 60
 
2.2%
5 49
 
1.8%
6 41
 
1.5%
7 36
 
1.3%
8 27
 
1.0%
9 22
 
0.8%
ValueCountFrequency (%)
30061 1
< 0.1%
28313 1
< 0.1%
10611 1
< 0.1%
10171 1
< 0.1%
5620 1
< 0.1%
5307 1
< 0.1%
5050 1
< 0.1%
4392 1
< 0.1%
2041 1
< 0.1%
2025 1
< 0.1%

2006-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct343
Distinct (%)14.1%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean111.10494
Minimum0
Maximum35308
Zeros1028
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:56.209972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322.75
95-th percentile336.55
Maximum35308
Range35308
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation1113.0306
Coefficient of variation (CV)10.017832
Kurtosis752.24235
Mean111.10494
Median Absolute Deviation (MAD)2
Skewness25.848524
Sum269985
Variance1238837.1
MonotonicityNot monotonic
2024-03-23T06:47:56.803712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1028
37.8%
1 173
 
6.4%
2 102
 
3.8%
3 81
 
3.0%
4 66
 
2.4%
5 49
 
1.8%
6 44
 
1.6%
7 37
 
1.4%
8 31
 
1.1%
9 27
 
1.0%
Other values (333) 792
29.1%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1028
37.8%
1 173
 
6.4%
2 102
 
3.8%
3 81
 
3.0%
4 66
 
2.4%
5 49
 
1.8%
6 44
 
1.6%
7 37
 
1.4%
8 31
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
35308 1
< 0.1%
33117 1
< 0.1%
14730 1
< 0.1%
13402 1
< 0.1%
8281 1
< 0.1%
7205 1
< 0.1%
7104 1
< 0.1%
4986 1
< 0.1%
3004 1
< 0.1%
2541 1
< 0.1%

2006-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct392
Distinct (%)16.1%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean155.49877
Minimum0
Maximum51443
Zeros957
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:47:57.488460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile484.95
Maximum51443
Range51443
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1579.471
Coefficient of variation (CV)10.157451
Kurtosis788.21081
Mean155.49877
Median Absolute Deviation (MAD)2
Skewness26.499239
Sum377862
Variance2494728.7
MonotonicityNot monotonic
2024-03-23T06:47:59.307262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 957
35.2%
1 185
 
6.8%
2 112
 
4.1%
3 67
 
2.5%
5 53
 
1.9%
7 51
 
1.9%
4 45
 
1.7%
6 34
 
1.3%
11 34
 
1.3%
8 33
 
1.2%
Other values (382) 859
31.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 957
35.2%
1 185
 
6.8%
2 112
 
4.1%
3 67
 
2.5%
4 45
 
1.7%
5 53
 
1.9%
6 34
 
1.3%
7 51
 
1.9%
8 33
 
1.2%
9 27
 
1.0%
ValueCountFrequency (%)
51443 1
< 0.1%
46731 1
< 0.1%
21204 1
< 0.1%
17047 1
< 0.1%
10226 1
< 0.1%
10141 1
< 0.1%
8779 1
< 0.1%
7114 1
< 0.1%
4084 1
< 0.1%
3419 1
< 0.1%

2006-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)13.9%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean108.17119
Minimum0
Maximum37239
Zeros976
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:00.014702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile336
Maximum37239
Range37239
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1085.2506
Coefficient of variation (CV)10.032713
Kurtosis866.29458
Mean108.17119
Median Absolute Deviation (MAD)2
Skewness27.778273
Sum262856
Variance1177768.8
MonotonicityNot monotonic
2024-03-23T06:48:00.702430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 976
35.9%
1 180
 
6.6%
2 91
 
3.3%
3 72
 
2.6%
4 56
 
2.1%
5 54
 
2.0%
6 42
 
1.5%
7 36
 
1.3%
9 32
 
1.2%
8 32
 
1.2%
Other values (327) 859
31.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 976
35.9%
1 180
 
6.6%
2 91
 
3.3%
3 72
 
2.6%
4 56
 
2.1%
5 54
 
2.0%
6 42
 
1.5%
7 36
 
1.3%
8 32
 
1.2%
9 32
 
1.2%
ValueCountFrequency (%)
37239 1
< 0.1%
31600 1
< 0.1%
12624 1
< 0.1%
9376 1
< 0.1%
6699 1
< 0.1%
5989 1
< 0.1%
5918 1
< 0.1%
5768 1
< 0.1%
2897 1
< 0.1%
2552 1
< 0.1%

2007-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct270
Distinct (%)11.1%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean61.106173
Minimum0
Maximum21734
Zeros1021
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:01.217842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile187
Maximum21734
Range21734
Interquartile range (IQR)16

Descriptive statistics

Standard deviation611.55536
Coefficient of variation (CV)10.008078
Kurtosis931.32711
Mean61.106173
Median Absolute Deviation (MAD)1
Skewness28.867571
Sum148488
Variance373999.95
MonotonicityNot monotonic
2024-03-23T06:48:01.625607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1021
37.6%
1 210
 
7.7%
2 127
 
4.7%
3 95
 
3.5%
4 58
 
2.1%
5 57
 
2.1%
6 46
 
1.7%
7 34
 
1.3%
8 32
 
1.2%
9 31
 
1.1%
Other values (260) 719
26.5%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1021
37.6%
1 210
 
7.7%
2 127
 
4.7%
3 95
 
3.5%
4 58
 
2.1%
5 57
 
2.1%
6 46
 
1.7%
7 34
 
1.3%
8 32
 
1.2%
9 31
 
1.1%
ValueCountFrequency (%)
21734 1
< 0.1%
17547 1
< 0.1%
6500 1
< 0.1%
4620 1
< 0.1%
3994 1
< 0.1%
2771 1
< 0.1%
2575 1
< 0.1%
2397 1
< 0.1%
1635 1
< 0.1%
1552 1
< 0.1%

2007-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct244
Distinct (%)10.0%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean52.239095
Minimum0
Maximum18767
Zeros1081
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:02.075492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile154.55
Maximum18767
Range18767
Interquartile range (IQR)13

Descriptive statistics

Standard deviation520.72983
Coefficient of variation (CV)9.9682016
Kurtosis949.72761
Mean52.239095
Median Absolute Deviation (MAD)1
Skewness29.131076
Sum126941
Variance271159.55
MonotonicityNot monotonic
2024-03-23T06:48:02.506588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1081
39.8%
1 205
 
7.5%
2 120
 
4.4%
3 76
 
2.8%
4 73
 
2.7%
5 58
 
2.1%
6 50
 
1.8%
7 37
 
1.4%
9 32
 
1.2%
8 24
 
0.9%
Other values (234) 674
24.8%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1081
39.8%
1 205
 
7.5%
2 120
 
4.4%
3 76
 
2.8%
4 73
 
2.7%
5 58
 
2.1%
6 50
 
1.8%
7 37
 
1.4%
8 24
 
0.9%
9 32
 
1.2%
ValueCountFrequency (%)
18767 1
< 0.1%
14671 1
< 0.1%
5771 1
< 0.1%
3576 1
< 0.1%
3343 1
< 0.1%
2159 1
< 0.1%
1829 1
< 0.1%
1584 1
< 0.1%
1449 1
< 0.1%
1391 1
< 0.1%

2007-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct262
Distinct (%)10.8%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean59.40823
Minimum0
Maximum22029
Zeros1061
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:03.051324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile172.55
Maximum22029
Range22029
Interquartile range (IQR)15

Descriptive statistics

Standard deviation595.62099
Coefficient of variation (CV)10.0259
Kurtosis986.60072
Mean59.40823
Median Absolute Deviation (MAD)1
Skewness29.580673
Sum144362
Variance354764.37
MonotonicityNot monotonic
2024-03-23T06:48:03.644733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1061
39.0%
1 204
 
7.5%
2 119
 
4.4%
3 79
 
2.9%
4 55
 
2.0%
5 54
 
2.0%
6 46
 
1.7%
7 36
 
1.3%
8 31
 
1.1%
10 30
 
1.1%
Other values (252) 715
26.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1061
39.0%
1 204
 
7.5%
2 119
 
4.4%
3 79
 
2.9%
4 55
 
2.0%
5 54
 
2.0%
6 46
 
1.7%
7 36
 
1.3%
8 31
 
1.1%
9 29
 
1.1%
ValueCountFrequency (%)
22029 1
< 0.1%
16139 1
< 0.1%
6180 1
< 0.1%
4290 1
< 0.1%
3501 1
< 0.1%
2451 1
< 0.1%
2235 1
< 0.1%
1852 1
< 0.1%
1824 1
< 0.1%
1531 1
< 0.1%

2007-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct263
Distinct (%)10.8%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean60.455967
Minimum0
Maximum23019
Zeros1094
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:04.001728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313.75
95-th percentile176.55
Maximum23019
Range23019
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation611.59835
Coefficient of variation (CV)10.116427
Kurtosis1011.4236
Mean60.455967
Median Absolute Deviation (MAD)1
Skewness29.856061
Sum146908
Variance374052.54
MonotonicityNot monotonic
2024-03-23T06:48:04.456262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1094
40.3%
1 185
 
6.8%
2 98
 
3.6%
3 87
 
3.2%
5 75
 
2.8%
4 65
 
2.4%
6 37
 
1.4%
7 31
 
1.1%
8 31
 
1.1%
11 30
 
1.1%
Other values (253) 697
25.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1094
40.3%
1 185
 
6.8%
2 98
 
3.6%
3 87
 
3.2%
4 65
 
2.4%
5 75
 
2.8%
6 37
 
1.4%
7 31
 
1.1%
8 31
 
1.1%
9 19
 
0.7%
ValueCountFrequency (%)
23019 1
< 0.1%
15950 1
< 0.1%
6443 1
< 0.1%
4516 1
< 0.1%
3450 1
< 0.1%
2703 1
< 0.1%
2359 1
< 0.1%
2045 1
< 0.1%
1980 1
< 0.1%
1971 1
< 0.1%

2007-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct250
Distinct (%)10.3%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean56.375309
Minimum0
Maximum20616
Zeros1082
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:04.991048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile162.55
Maximum20616
Range20616
Interquartile range (IQR)13

Descriptive statistics

Standard deviation567.9128
Coefficient of variation (CV)10.073786
Kurtosis966.89939
Mean56.375309
Median Absolute Deviation (MAD)1
Skewness29.360951
Sum136992
Variance322524.95
MonotonicityNot monotonic
2024-03-23T06:48:05.468236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1082
39.8%
1 202
 
7.4%
2 129
 
4.7%
3 73
 
2.7%
4 65
 
2.4%
5 62
 
2.3%
7 46
 
1.7%
6 42
 
1.5%
8 28
 
1.0%
13 24
 
0.9%
Other values (240) 677
24.9%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1082
39.8%
1 202
 
7.4%
2 129
 
4.7%
3 73
 
2.7%
4 65
 
2.4%
5 62
 
2.3%
6 42
 
1.5%
7 46
 
1.7%
8 28
 
1.0%
9 21
 
0.8%
ValueCountFrequency (%)
20616 1
< 0.1%
15994 1
< 0.1%
5289 1
< 0.1%
3885 1
< 0.1%
3819 1
< 0.1%
2181 1
< 0.1%
2145 1
< 0.1%
2023 1
< 0.1%
1982 1
< 0.1%
1736 1
< 0.1%

2007-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)10.2%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean52.042387
Minimum0
Maximum19621
Zeros1107
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:05.916401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile148.55
Maximum19621
Range19621
Interquartile range (IQR)12

Descriptive statistics

Standard deviation522.9516
Coefficient of variation (CV)10.048571
Kurtosis997.21119
Mean52.042387
Median Absolute Deviation (MAD)1
Skewness29.59094
Sum126463
Variance273478.38
MonotonicityNot monotonic
2024-03-23T06:48:06.372311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1107
40.7%
1 221
 
8.1%
2 94
 
3.5%
3 79
 
2.9%
4 67
 
2.5%
5 60
 
2.2%
6 39
 
1.4%
8 35
 
1.3%
7 31
 
1.1%
9 31
 
1.1%
Other values (237) 666
24.5%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1107
40.7%
1 221
 
8.1%
2 94
 
3.5%
3 79
 
2.9%
4 67
 
2.5%
5 60
 
2.2%
6 39
 
1.4%
7 31
 
1.1%
8 35
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
19621 1
< 0.1%
13551 1
< 0.1%
5637 1
< 0.1%
3962 1
< 0.1%
3437 1
< 0.1%
2025 1
< 0.1%
1893 1
< 0.1%
1887 1
< 0.1%
1664 1
< 0.1%
1486 1
< 0.1%

2007-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct259
Distinct (%)10.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean57.828807
Minimum0
Maximum20062
Zeros1019
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:06.796869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile169
Maximum20062
Range20062
Interquartile range (IQR)15

Descriptive statistics

Standard deviation560.4529
Coefficient of variation (CV)9.6915868
Kurtosis915.98933
Mean57.828807
Median Absolute Deviation (MAD)1
Skewness28.465835
Sum140524
Variance314107.45
MonotonicityNot monotonic
2024-03-23T06:48:07.532986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1019
37.5%
1 218
 
8.0%
2 125
 
4.6%
3 77
 
2.8%
5 56
 
2.1%
4 53
 
1.9%
6 42
 
1.5%
8 35
 
1.3%
7 32
 
1.2%
11 32
 
1.2%
Other values (249) 741
27.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1019
37.5%
1 218
 
8.0%
2 125
 
4.6%
3 77
 
2.8%
4 53
 
1.9%
5 56
 
2.1%
6 42
 
1.5%
7 32
 
1.2%
8 35
 
1.3%
9 29
 
1.1%
ValueCountFrequency (%)
20062 1
< 0.1%
15527 1
< 0.1%
6432 1
< 0.1%
4274 1
< 0.1%
3656 1
< 0.1%
3165 1
< 0.1%
2274 1
< 0.1%
2039 1
< 0.1%
1935 1
< 0.1%
1628 1
< 0.1%

2007-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct253
Distinct (%)10.4%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean56.442798
Minimum0
Maximum20596
Zeros1052
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:07.996285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile162.1
Maximum20596
Range20596
Interquartile range (IQR)15

Descriptive statistics

Standard deviation563.37832
Coefficient of variation (CV)9.9814031
Kurtosis975.71617
Mean56.442798
Median Absolute Deviation (MAD)1
Skewness29.489133
Sum137156
Variance317395.13
MonotonicityNot monotonic
2024-03-23T06:48:08.682583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1052
38.7%
1 201
 
7.4%
2 113
 
4.2%
3 94
 
3.5%
6 58
 
2.1%
4 51
 
1.9%
5 48
 
1.8%
8 40
 
1.5%
9 31
 
1.1%
7 31
 
1.1%
Other values (243) 711
26.2%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1052
38.7%
1 201
 
7.4%
2 113
 
4.2%
3 94
 
3.5%
4 51
 
1.9%
5 48
 
1.8%
6 58
 
2.1%
7 31
 
1.1%
8 40
 
1.5%
9 31
 
1.1%
ValueCountFrequency (%)
20596 1
< 0.1%
15677 1
< 0.1%
5659 1
< 0.1%
3549 1
< 0.1%
3257 1
< 0.1%
3003 1
< 0.1%
2326 1
< 0.1%
1980 1
< 0.1%
1855 1
< 0.1%
1389 1
< 0.1%

2007-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct222
Distinct (%)9.1%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean46.01893
Minimum0
Maximum17034
Zeros1119
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:09.120364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile132.65
Maximum17034
Range17034
Interquartile range (IQR)11

Descriptive statistics

Standard deviation467.30614
Coefficient of variation (CV)10.15465
Kurtosis950.38845
Mean46.01893
Median Absolute Deviation (MAD)1
Skewness29.048931
Sum111826
Variance218375.02
MonotonicityNot monotonic
2024-03-23T06:48:09.569948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1119
41.2%
1 202
 
7.4%
2 123
 
4.5%
3 67
 
2.5%
4 64
 
2.4%
5 62
 
2.3%
6 45
 
1.7%
7 42
 
1.5%
9 32
 
1.2%
11 31
 
1.1%
Other values (212) 643
23.7%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1119
41.2%
1 202
 
7.4%
2 123
 
4.5%
3 67
 
2.5%
4 64
 
2.4%
5 62
 
2.3%
6 45
 
1.7%
7 42
 
1.5%
8 26
 
1.0%
9 32
 
1.2%
ValueCountFrequency (%)
17034 1
< 0.1%
12702 1
< 0.1%
5704 1
< 0.1%
3060 1
< 0.1%
2845 1
< 0.1%
2007 1
< 0.1%
1940 1
< 0.1%
1733 1
< 0.1%
1726 1
< 0.1%
1257 1
< 0.1%

2007-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct271
Distinct (%)11.2%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean66.184362
Minimum0
Maximum23102
Zeros1031
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:10.309701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile191.2
Maximum23102
Range23102
Interquartile range (IQR)16

Descriptive statistics

Standard deviation667.76253
Coefficient of variation (CV)10.089431
Kurtosis925.89914
Mean66.184362
Median Absolute Deviation (MAD)1
Skewness28.920494
Sum160828
Variance445906.8
MonotonicityNot monotonic
2024-03-23T06:48:10.750433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1031
37.9%
1 190
 
7.0%
2 112
 
4.1%
3 88
 
3.2%
4 63
 
2.3%
5 62
 
2.3%
6 46
 
1.7%
9 33
 
1.2%
8 31
 
1.1%
7 29
 
1.1%
Other values (261) 745
27.4%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1031
37.9%
1 190
 
7.0%
2 112
 
4.1%
3 88
 
3.2%
4 63
 
2.3%
5 62
 
2.3%
6 46
 
1.7%
7 29
 
1.1%
8 31
 
1.1%
9 33
 
1.2%
ValueCountFrequency (%)
23102 1
< 0.1%
20154 1
< 0.1%
7026 1
< 0.1%
4307 1
< 0.1%
3948 1
< 0.1%
2876 1
< 0.1%
2710 1
< 0.1%
2460 1
< 0.1%
2215 1
< 0.1%
1652 1
< 0.1%

2007-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct275
Distinct (%)11.3%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean67.339506
Minimum0
Maximum23871
Zeros1034
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:11.153354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile199
Maximum23871
Range23871
Interquartile range (IQR)16

Descriptive statistics

Standard deviation674.61874
Coefficient of variation (CV)10.018172
Kurtosis927.25994
Mean67.339506
Median Absolute Deviation (MAD)1
Skewness28.812108
Sum163635
Variance455110.44
MonotonicityNot monotonic
2024-03-23T06:48:11.563329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1034
38.0%
1 188
 
6.9%
2 113
 
4.2%
3 81
 
3.0%
4 66
 
2.4%
5 53
 
1.9%
6 42
 
1.5%
8 35
 
1.3%
7 35
 
1.3%
12 32
 
1.2%
Other values (265) 751
27.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1034
38.0%
1 188
 
6.9%
2 113
 
4.2%
3 81
 
3.0%
4 66
 
2.4%
5 53
 
1.9%
6 42
 
1.5%
7 35
 
1.3%
8 35
 
1.3%
9 29
 
1.1%
ValueCountFrequency (%)
23871 1
< 0.1%
19478 1
< 0.1%
7394 1
< 0.1%
4628 1
< 0.1%
4160 1
< 0.1%
3370 1
< 0.1%
2683 1
< 0.1%
2538 1
< 0.1%
2047 1
< 0.1%
1913 1
< 0.1%

2007-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct261
Distinct (%)10.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean61.27572
Minimum0
Maximum21605
Zeros1062
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:12.084453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile177.55
Maximum21605
Range21605
Interquartile range (IQR)15

Descriptive statistics

Standard deviation616.74685
Coefficient of variation (CV)10.06511
Kurtosis948.10364
Mean61.27572
Median Absolute Deviation (MAD)1
Skewness29.266891
Sum148900
Variance380376.67
MonotonicityNot monotonic
2024-03-23T06:48:12.486139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1062
39.1%
1 194
 
7.1%
2 119
 
4.4%
4 72
 
2.6%
3 64
 
2.4%
5 55
 
2.0%
6 43
 
1.6%
7 37
 
1.4%
10 32
 
1.2%
8 28
 
1.0%
Other values (251) 724
26.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1062
39.1%
1 194
 
7.1%
2 119
 
4.4%
3 64
 
2.4%
4 72
 
2.6%
5 55
 
2.0%
6 43
 
1.6%
7 37
 
1.4%
8 28
 
1.0%
9 27
 
1.0%
ValueCountFrequency (%)
21605 1
< 0.1%
18532 1
< 0.1%
5967 1
< 0.1%
3539 1
< 0.1%
3130 1
< 0.1%
2846 1
< 0.1%
2418 1
< 0.1%
2388 1
< 0.1%
1865 1
< 0.1%
1731 1
< 0.1%

2008-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct265
Distinct (%)10.9%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean61.730453
Minimum0
Maximum22149
Zeros1081
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:12.968635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile176
Maximum22149
Range22149
Interquartile range (IQR)15

Descriptive statistics

Standard deviation617.9154
Coefficient of variation (CV)10.009896
Kurtosis967.88969
Mean61.730453
Median Absolute Deviation (MAD)1
Skewness29.482597
Sum150005
Variance381819.45
MonotonicityNot monotonic
2024-03-23T06:48:13.385361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1081
39.8%
1 176
 
6.5%
2 108
 
4.0%
3 81
 
3.0%
4 66
 
2.4%
5 55
 
2.0%
6 40
 
1.5%
7 38
 
1.4%
8 32
 
1.2%
9 30
 
1.1%
Other values (255) 723
26.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1081
39.8%
1 176
 
6.5%
2 108
 
4.0%
3 81
 
3.0%
4 66
 
2.4%
5 55
 
2.0%
6 40
 
1.5%
7 38
 
1.4%
8 32
 
1.2%
9 30
 
1.1%
ValueCountFrequency (%)
22149 1
< 0.1%
18005 1
< 0.1%
5377 1
< 0.1%
3918 1
< 0.1%
3435 1
< 0.1%
2757 1
< 0.1%
2172 1
< 0.1%
2126 1
< 0.1%
2071 1
< 0.1%
1931 1
< 0.1%

2008-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct261
Distinct (%)10.7%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean60.425103
Minimum0
Maximum21183
Zeros1074
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:13.804680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile180.1
Maximum21183
Range21183
Interquartile range (IQR)15

Descriptive statistics

Standard deviation593.01541
Coefficient of variation (CV)9.8140572
Kurtosis954.65394
Mean60.425103
Median Absolute Deviation (MAD)1
Skewness29.253583
Sum146833
Variance351667.28
MonotonicityNot monotonic
2024-03-23T06:48:14.317182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1074
39.5%
1 195
 
7.2%
2 112
 
4.1%
4 68
 
2.5%
3 65
 
2.4%
5 54
 
2.0%
6 47
 
1.7%
7 38
 
1.4%
11 35
 
1.3%
10 28
 
1.0%
Other values (251) 714
26.3%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 1074
39.5%
1 195
 
7.2%
2 112
 
4.1%
3 65
 
2.4%
4 68
 
2.5%
5 54
 
2.0%
6 47
 
1.7%
7 38
 
1.4%
8 26
 
1.0%
9 21
 
0.8%
ValueCountFrequency (%)
21183 1
< 0.1%
17207 1
< 0.1%
5689 1
< 0.1%
3830 1
< 0.1%
3372 1
< 0.1%
2779 1
< 0.1%
2341 1
< 0.1%
2264 1
< 0.1%
1573 1
< 0.1%
1447 1
< 0.1%

2008-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct303
Distinct (%)12.5%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean76.755144
Minimum0
Maximum27546
Zeros992
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:14.706656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile219.65
Maximum27546
Range27546
Interquartile range (IQR)19

Descriptive statistics

Standard deviation767.97711
Coefficient of variation (CV)10.005546
Kurtosis940.89557
Mean76.755144
Median Absolute Deviation (MAD)2
Skewness28.990982
Sum186515
Variance589788.84
MonotonicityNot monotonic
2024-03-23T06:48:15.091241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 992
36.5%
1 208
 
7.7%
2 91
 
3.3%
3 89
 
3.3%
4 68
 
2.5%
5 53
 
1.9%
6 50
 
1.8%
9 41
 
1.5%
7 36
 
1.3%
10 26
 
1.0%
Other values (293) 776
28.6%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 992
36.5%
1 208
 
7.7%
2 91
 
3.3%
3 89
 
3.3%
4 68
 
2.5%
5 53
 
1.9%
6 50
 
1.8%
7 36
 
1.3%
8 25
 
0.9%
9 41
 
1.5%
ValueCountFrequency (%)
27546 1
< 0.1%
21720 1
< 0.1%
8602 1
< 0.1%
4958 1
< 0.1%
4573 1
< 0.1%
3751 1
< 0.1%
3582 1
< 0.1%
3327 1
< 0.1%
2241 1
< 0.1%
1680 1
< 0.1%

2008-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)13.2%
Missing288
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean93.618519
Minimum0
Maximum32116
Zeros987
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:15.501485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile274.1
Maximum32116
Range32116
Interquartile range (IQR)21

Descriptive statistics

Standard deviation937.92136
Coefficient of variation (CV)10.018545
Kurtosis905.68484
Mean93.618519
Median Absolute Deviation (MAD)2
Skewness28.541968
Sum227493
Variance879696.47
MonotonicityNot monotonic
2024-03-23T06:48:16.020564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 987
36.3%
1 189
 
7.0%
2 109
 
4.0%
3 72
 
2.6%
4 59
 
2.2%
5 48
 
1.8%
6 47
 
1.7%
8 44
 
1.6%
7 36
 
1.3%
9 30
 
1.1%
Other values (311) 809
29.8%
(Missing) 288
 
10.6%
ValueCountFrequency (%)
0 987
36.3%
1 189
 
7.0%
2 109
 
4.0%
3 72
 
2.6%
4 59
 
2.2%
5 48
 
1.8%
6 47
 
1.7%
7 36
 
1.3%
8 44
 
1.6%
9 30
 
1.1%
ValueCountFrequency (%)
32116 1
< 0.1%
28374 1
< 0.1%
9828 1
< 0.1%
6075 1
< 0.1%
5374 1
< 0.1%
5272 1
< 0.1%
4472 1
< 0.1%
4396 1
< 0.1%
3057 1
< 0.1%
2719 1
< 0.1%

2008-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct299
Distinct (%)12.3%
Missing279
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean76.888479
Minimum0
Maximum27132
Zeros1009
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:16.455983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile221.2
Maximum27132
Range27132
Interquartile range (IQR)19

Descriptive statistics

Standard deviation764.77525
Coefficient of variation (CV)9.946552
Kurtosis927.1351
Mean76.888479
Median Absolute Deviation (MAD)2
Skewness28.792423
Sum187531
Variance584881.18
MonotonicityNot monotonic
2024-03-23T06:48:16.964613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1009
37.1%
1 187
 
6.9%
2 122
 
4.5%
3 86
 
3.2%
5 61
 
2.2%
4 55
 
2.0%
6 47
 
1.7%
8 37
 
1.4%
10 28
 
1.0%
11 28
 
1.0%
Other values (289) 779
28.7%
(Missing) 279
 
10.3%
ValueCountFrequency (%)
0 1009
37.1%
1 187
 
6.9%
2 122
 
4.5%
3 86
 
3.2%
4 55
 
2.0%
5 61
 
2.2%
6 47
 
1.7%
7 22
 
0.8%
8 37
 
1.4%
9 25
 
0.9%
ValueCountFrequency (%)
27132 1
< 0.1%
22002 1
< 0.1%
8627 1
< 0.1%
5149 1
< 0.1%
4678 1
< 0.1%
3933 1
< 0.1%
3341 1
< 0.1%
3026 1
< 0.1%
2205 1
< 0.1%
2172 1
< 0.1%

2008-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct302
Distinct (%)12.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean76.65405
Minimum0
Maximum26091
Zeros1018
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:17.387904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile234.6
Maximum26091
Range26091
Interquartile range (IQR)20

Descriptive statistics

Standard deviation753.49848
Coefficient of variation (CV)9.8298587
Kurtosis920.72924
Mean76.65405
Median Absolute Deviation (MAD)2
Skewness28.774212
Sum188339
Variance567759.96
MonotonicityNot monotonic
2024-03-23T06:48:17.850268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1018
37.5%
1 195
 
7.2%
2 114
 
4.2%
3 82
 
3.0%
4 68
 
2.5%
5 61
 
2.2%
6 46
 
1.7%
8 34
 
1.3%
10 31
 
1.1%
7 30
 
1.1%
Other values (292) 778
28.6%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1018
37.5%
1 195
 
7.2%
2 114
 
4.2%
3 82
 
3.0%
4 68
 
2.5%
5 61
 
2.2%
6 46
 
1.7%
7 30
 
1.1%
8 34
 
1.3%
9 23
 
0.8%
ValueCountFrequency (%)
26091 1
< 0.1%
22790 1
< 0.1%
7864 1
< 0.1%
5263 1
< 0.1%
5004 1
< 0.1%
3834 1
< 0.1%
3023 1
< 0.1%
2616 1
< 0.1%
2172 1
< 0.1%
2113 1
< 0.1%

2008-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)11.8%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean72.043549
Minimum0
Maximum25271
Zeros1041
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:18.299078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q319
95-th percentile221.2
Maximum25271
Range25271
Interquartile range (IQR)19

Descriptive statistics

Standard deviation709.87454
Coefficient of variation (CV)9.8534088
Kurtosis957.1143
Mean72.043549
Median Absolute Deviation (MAD)1
Skewness29.32604
Sum177011
Variance503921.86
MonotonicityNot monotonic
2024-03-23T06:48:19.352865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1041
38.3%
1 197
 
7.2%
2 97
 
3.6%
3 87
 
3.2%
4 67
 
2.5%
5 50
 
1.8%
7 37
 
1.4%
8 34
 
1.3%
6 34
 
1.3%
9 31
 
1.1%
Other values (281) 782
28.8%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1041
38.3%
1 197
 
7.2%
2 97
 
3.6%
3 87
 
3.2%
4 67
 
2.5%
5 50
 
1.8%
6 34
 
1.3%
7 37
 
1.4%
8 34
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
25271 1
< 0.1%
20975 1
< 0.1%
6948 1
< 0.1%
4494 1
< 0.1%
4245 1
< 0.1%
3635 1
< 0.1%
2289 1
< 0.1%
2263 1
< 0.1%
2069 1
< 0.1%
1914 1
< 0.1%

2008-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct252
Distinct (%)10.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean54.363451
Minimum0
Maximum19046
Zeros1065
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:20.472828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q314
95-th percentile164.4
Maximum19046
Range19046
Interquartile range (IQR)14

Descriptive statistics

Standard deviation536.1891
Coefficient of variation (CV)9.8630438
Kurtosis969.46612
Mean54.363451
Median Absolute Deviation (MAD)1
Skewness29.569643
Sum133571
Variance287498.75
MonotonicityNot monotonic
2024-03-23T06:48:21.405029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1065
39.2%
1 204
 
7.5%
2 131
 
4.8%
3 79
 
2.9%
5 66
 
2.4%
4 58
 
2.1%
6 43
 
1.6%
7 37
 
1.4%
10 34
 
1.3%
11 34
 
1.3%
Other values (242) 706
26.0%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1065
39.2%
1 204
 
7.5%
2 131
 
4.8%
3 79
 
2.9%
4 58
 
2.1%
5 66
 
2.4%
6 43
 
1.6%
7 37
 
1.4%
8 22
 
0.8%
9 29
 
1.1%
ValueCountFrequency (%)
19046 1
< 0.1%
16091 1
< 0.1%
4353 1
< 0.1%
3687 1
< 0.1%
3058 1
< 0.1%
2746 1
< 0.1%
2096 1
< 0.1%
1690 1
< 0.1%
1533 1
< 0.1%
1462 1
< 0.1%

2008-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct245
Distinct (%)10.0%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean51.600733
Minimum0
Maximum17714
Zeros1066
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:22.191261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile160.2
Maximum17714
Range17714
Interquartile range (IQR)13

Descriptive statistics

Standard deviation508.12489
Coefficient of variation (CV)9.8472418
Kurtosis953.43382
Mean51.600733
Median Absolute Deviation (MAD)1
Skewness29.339949
Sum126783
Variance258190.9
MonotonicityNot monotonic
2024-03-23T06:48:22.766741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1066
39.2%
1 199
 
7.3%
2 126
 
4.6%
3 109
 
4.0%
4 61
 
2.2%
5 48
 
1.8%
6 44
 
1.6%
7 38
 
1.4%
8 34
 
1.3%
12 31
 
1.1%
Other values (235) 701
25.8%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1066
39.2%
1 199
 
7.3%
2 126
 
4.6%
3 109
 
4.0%
4 61
 
2.2%
5 48
 
1.8%
6 44
 
1.6%
7 38
 
1.4%
8 34
 
1.3%
9 26
 
1.0%
ValueCountFrequency (%)
17714 1
< 0.1%
15591 1
< 0.1%
4156 1
< 0.1%
3343 1
< 0.1%
3275 1
< 0.1%
2464 1
< 0.1%
1827 1
< 0.1%
1481 1
< 0.1%
1401 1
< 0.1%
1289 1
< 0.1%

2008-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct232
Distinct (%)9.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean53.914123
Minimum0
Maximum17778
Zeros1079
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:23.394701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile151
Maximum17778
Range17778
Interquartile range (IQR)13

Descriptive statistics

Standard deviation534.91943
Coefficient of variation (CV)9.9216941
Kurtosis910.46356
Mean53.914123
Median Absolute Deviation (MAD)1
Skewness28.56641
Sum132467
Variance286138.8
MonotonicityNot monotonic
2024-03-23T06:48:24.026361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1079
39.7%
1 197
 
7.2%
2 133
 
4.9%
3 86
 
3.2%
5 56
 
2.1%
4 55
 
2.0%
6 52
 
1.9%
7 38
 
1.4%
8 37
 
1.4%
9 30
 
1.1%
Other values (222) 694
25.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1079
39.7%
1 197
 
7.2%
2 133
 
4.9%
3 86
 
3.2%
4 55
 
2.0%
5 56
 
2.1%
6 52
 
1.9%
7 38
 
1.4%
8 37
 
1.4%
9 30
 
1.1%
ValueCountFrequency (%)
17778 1
< 0.1%
17069 1
< 0.1%
4076 1
< 0.1%
3854 1
< 0.1%
3029 1
< 0.1%
2809 1
< 0.1%
2505 1
< 0.1%
2472 1
< 0.1%
2133 1
< 0.1%
1727 1
< 0.1%

2008-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct207
Distinct (%)8.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean38.271876
Minimum0
Maximum14201
Zeros1133
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:24.592200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile114.2
Maximum14201
Range14201
Interquartile range (IQR)9

Descriptive statistics

Standard deviation381.49513
Coefficient of variation (CV)9.9680279
Kurtosis1022.0826
Mean38.271876
Median Absolute Deviation (MAD)1
Skewness30.151383
Sum94034
Variance145538.54
MonotonicityNot monotonic
2024-03-23T06:48:25.031983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1133
41.7%
1 233
 
8.6%
2 123
 
4.5%
3 74
 
2.7%
4 69
 
2.5%
7 49
 
1.8%
6 46
 
1.7%
8 42
 
1.5%
9 41
 
1.5%
5 35
 
1.3%
Other values (197) 612
22.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1133
41.7%
1 233
 
8.6%
2 123
 
4.5%
3 74
 
2.7%
4 69
 
2.5%
5 35
 
1.3%
6 46
 
1.7%
7 49
 
1.8%
8 42
 
1.5%
9 41
 
1.5%
ValueCountFrequency (%)
14201 1
< 0.1%
10687 1
< 0.1%
2317 1
< 0.1%
2112 1
< 0.1%
1921 1
< 0.1%
1894 1
< 0.1%
1851 1
< 0.1%
1703 1
< 0.1%
1339 1
< 0.1%
1312 1
< 0.1%

2008-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct206
Distinct (%)8.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean34.824176
Minimum0
Maximum11669
Zeros1116
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:25.856803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile115
Maximum11669
Range11669
Interquartile range (IQR)9

Descriptive statistics

Standard deviation334.48099
Coefficient of variation (CV)9.6048502
Kurtosis940.11952
Mean34.824176
Median Absolute Deviation (MAD)1
Skewness29.011315
Sum85563
Variance111877.54
MonotonicityNot monotonic
2024-03-23T06:48:26.342561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1116
41.1%
1 231
 
8.5%
2 128
 
4.7%
3 95
 
3.5%
4 67
 
2.5%
5 51
 
1.9%
6 49
 
1.8%
7 41
 
1.5%
8 38
 
1.4%
9 30
 
1.1%
Other values (196) 611
22.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1116
41.1%
1 231
 
8.5%
2 128
 
4.7%
3 95
 
3.5%
4 67
 
2.5%
5 51
 
1.9%
6 49
 
1.8%
7 41
 
1.5%
8 38
 
1.4%
9 30
 
1.1%
ValueCountFrequency (%)
11669 1
< 0.1%
10159 1
< 0.1%
2363 1
< 0.1%
2096 1
< 0.1%
2058 1
< 0.1%
2001 1
< 0.1%
1604 1
< 0.1%
1265 1
< 0.1%
1192 1
< 0.1%
1095 1
< 0.1%

2009-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct195
Distinct (%)7.9%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean32.989418
Minimum0
Maximum10460
Zeros1197
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:26.958836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile100.2
Maximum10460
Range10460
Interquartile range (IQR)9

Descriptive statistics

Standard deviation308.64007
Coefficient of variation (CV)9.3557294
Kurtosis913.69213
Mean32.989418
Median Absolute Deviation (MAD)1
Skewness28.554895
Sum81055
Variance95258.69
MonotonicityNot monotonic
2024-03-23T06:48:27.415682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1197
44.0%
1 205
 
7.5%
2 117
 
4.3%
3 80
 
2.9%
4 61
 
2.2%
5 55
 
2.0%
6 44
 
1.6%
8 34
 
1.3%
9 34
 
1.3%
7 33
 
1.2%
Other values (185) 597
22.0%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1197
44.0%
1 205
 
7.5%
2 117
 
4.3%
3 80
 
2.9%
4 61
 
2.2%
5 55
 
2.0%
6 44
 
1.6%
7 33
 
1.2%
8 34
 
1.3%
9 34
 
1.3%
ValueCountFrequency (%)
10460 1
< 0.1%
9631 1
< 0.1%
2251 1
< 0.1%
2139 1
< 0.1%
1883 1
< 0.1%
1556 1
< 0.1%
1529 1
< 0.1%
1090 1
< 0.1%
1017 1
< 0.1%
956 1
< 0.1%

2009-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct252
Distinct (%)10.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean51.142857
Minimum0
Maximum15980
Zeros1064
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:27.909425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile159.2
Maximum15980
Range15980
Interquartile range (IQR)15

Descriptive statistics

Standard deviation476.34378
Coefficient of variation (CV)9.3139845
Kurtosis889.83499
Mean51.142857
Median Absolute Deviation (MAD)1
Skewness28.186251
Sum125658
Variance226903.4
MonotonicityNot monotonic
2024-03-23T06:48:28.397132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1064
39.1%
1 200
 
7.4%
2 115
 
4.2%
3 79
 
2.9%
4 61
 
2.2%
5 53
 
1.9%
6 51
 
1.9%
7 37
 
1.4%
9 33
 
1.2%
8 32
 
1.2%
Other values (242) 732
26.9%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1064
39.1%
1 200
 
7.4%
2 115
 
4.2%
3 79
 
2.9%
4 61
 
2.2%
5 53
 
1.9%
6 51
 
1.9%
7 37
 
1.4%
8 32
 
1.2%
9 33
 
1.2%
ValueCountFrequency (%)
15980 1
< 0.1%
14815 1
< 0.1%
4099 1
< 0.1%
3743 1
< 0.1%
3702 1
< 0.1%
2912 1
< 0.1%
1863 1
< 0.1%
1609 1
< 0.1%
1251 1
< 0.1%
1243 1
< 0.1%

2009-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct286
Distinct (%)11.6%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean65.286935
Minimum0
Maximum19064
Zeros1023
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:29.196920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile195
Maximum19064
Range19064
Interquartile range (IQR)20

Descriptive statistics

Standard deviation589.41909
Coefficient of variation (CV)9.0281323
Kurtosis863.43615
Mean65.286935
Median Absolute Deviation (MAD)2
Skewness27.695117
Sum160410
Variance347414.87
MonotonicityNot monotonic
2024-03-23T06:48:29.904131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1023
37.6%
1 175
 
6.4%
2 105
 
3.9%
3 87
 
3.2%
4 58
 
2.1%
6 54
 
2.0%
5 54
 
2.0%
7 46
 
1.7%
9 31
 
1.1%
8 29
 
1.1%
Other values (276) 795
29.2%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1023
37.6%
1 175
 
6.4%
2 105
 
3.9%
3 87
 
3.2%
4 58
 
2.1%
5 54
 
2.0%
6 54
 
2.0%
7 46
 
1.7%
8 29
 
1.1%
9 31
 
1.1%
ValueCountFrequency (%)
19064 1
< 0.1%
18829 1
< 0.1%
5457 1
< 0.1%
4653 1
< 0.1%
4461 1
< 0.1%
3953 1
< 0.1%
2111 1
< 0.1%
1819 1
< 0.1%
1662 1
< 0.1%
1644 1
< 0.1%

2009-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)11.8%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean67.377289
Minimum0
Maximum21516
Zeros977
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:30.505454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile224.2
Maximum21516
Range21516
Interquartile range (IQR)21

Descriptive statistics

Standard deviation629.06113
Coefficient of variation (CV)9.3363972
Kurtosis899.25739
Mean67.377289
Median Absolute Deviation (MAD)2
Skewness28.335622
Sum165546
Variance395717.91
MonotonicityNot monotonic
2024-03-23T06:48:31.173515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
35.9%
1 193
 
7.1%
2 120
 
4.4%
3 84
 
3.1%
4 67
 
2.5%
5 53
 
1.9%
6 49
 
1.8%
8 35
 
1.3%
7 34
 
1.3%
11 31
 
1.1%
Other values (281) 814
29.9%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 977
35.9%
1 193
 
7.1%
2 120
 
4.4%
3 84
 
3.1%
4 67
 
2.5%
5 53
 
1.9%
6 49
 
1.8%
7 34
 
1.3%
8 35
 
1.3%
9 29
 
1.1%
ValueCountFrequency (%)
21516 1
< 0.1%
19136 1
< 0.1%
5279 1
< 0.1%
5251 1
< 0.1%
4995 1
< 0.1%
3336 1
< 0.1%
2793 1
< 0.1%
2155 1
< 0.1%
2037 1
< 0.1%
1903 1
< 0.1%

2009-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct281
Distinct (%)11.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean66.131461
Minimum0
Maximum21194
Zeros1026
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:31.784822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile198.2
Maximum21194
Range21194
Interquartile range (IQR)20

Descriptive statistics

Standard deviation619.63668
Coefficient of variation (CV)9.3697715
Kurtosis880.55738
Mean66.131461
Median Absolute Deviation (MAD)2
Skewness27.98677
Sum162485
Variance383949.61
MonotonicityNot monotonic
2024-03-23T06:48:32.464545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1026
37.7%
1 180
 
6.6%
2 99
 
3.6%
3 84
 
3.1%
4 63
 
2.3%
5 57
 
2.1%
6 49
 
1.8%
8 33
 
1.2%
7 33
 
1.2%
9 32
 
1.2%
Other values (271) 801
29.5%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1026
37.7%
1 180
 
6.6%
2 99
 
3.6%
3 84
 
3.1%
4 63
 
2.3%
5 57
 
2.1%
6 49
 
1.8%
7 33
 
1.2%
8 33
 
1.2%
9 32
 
1.2%
ValueCountFrequency (%)
21194 1
< 0.1%
18561 1
< 0.1%
5804 1
< 0.1%
5356 1
< 0.1%
5274 1
< 0.1%
3183 1
< 0.1%
3169 1
< 0.1%
2159 1
< 0.1%
1808 1
< 0.1%
1695 1
< 0.1%

2009-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct303
Distinct (%)12.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean76.780627
Minimum0
Maximum25136
Zeros975
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:33.655594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile245.8
Maximum25136
Range25136
Interquartile range (IQR)23

Descriptive statistics

Standard deviation719.3032
Coefficient of variation (CV)9.3682903
Kurtosis904.17148
Mean76.780627
Median Absolute Deviation (MAD)2
Skewness28.345146
Sum188650
Variance517397.09
MonotonicityNot monotonic
2024-03-23T06:48:34.608380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 975
35.9%
1 195
 
7.2%
2 122
 
4.5%
3 74
 
2.7%
4 56
 
2.1%
6 55
 
2.0%
5 46
 
1.7%
7 37
 
1.4%
8 32
 
1.2%
11 26
 
1.0%
Other values (293) 839
30.9%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 975
35.9%
1 195
 
7.2%
2 122
 
4.5%
3 74
 
2.7%
4 56
 
2.1%
5 46
 
1.7%
6 55
 
2.0%
7 37
 
1.4%
8 32
 
1.2%
9 25
 
0.9%
ValueCountFrequency (%)
25136 1
< 0.1%
21120 1
< 0.1%
6545 1
< 0.1%
5970 1
< 0.1%
5947 1
< 0.1%
3662 1
< 0.1%
3408 1
< 0.1%
2708 1
< 0.1%
2214 1
< 0.1%
1937 1
< 0.1%

2009-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct312
Distinct (%)12.7%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean78.830688
Minimum0
Maximum24946
Zeros971
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:35.447097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile246.4
Maximum24946
Range24946
Interquartile range (IQR)24

Descriptive statistics

Standard deviation744.45091
Coefficient of variation (CV)9.4436689
Kurtosis885.66227
Mean78.830688
Median Absolute Deviation (MAD)2
Skewness28.134227
Sum193687
Variance554207.16
MonotonicityNot monotonic
2024-03-23T06:48:36.071245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 971
35.7%
1 196
 
7.2%
2 106
 
3.9%
3 83
 
3.1%
4 57
 
2.1%
5 47
 
1.7%
6 44
 
1.6%
7 31
 
1.1%
9 31
 
1.1%
8 30
 
1.1%
Other values (302) 861
31.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 971
35.7%
1 196
 
7.2%
2 106
 
3.9%
3 83
 
3.1%
4 57
 
2.1%
5 47
 
1.7%
6 44
 
1.6%
7 31
 
1.1%
8 30
 
1.1%
9 31
 
1.1%
ValueCountFrequency (%)
24946 1
< 0.1%
23113 1
< 0.1%
6657 1
< 0.1%
6075 1
< 0.1%
5832 1
< 0.1%
3903 1
< 0.1%
3672 1
< 0.1%
3110 1
< 0.1%
2308 1
< 0.1%
2264 1
< 0.1%

2009-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct307
Distinct (%)12.5%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean76.958486
Minimum0
Maximum24500
Zeros997
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:36.697767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile233
Maximum24500
Range24500
Interquartile range (IQR)22

Descriptive statistics

Standard deviation720.30802
Coefficient of variation (CV)9.3596958
Kurtosis883.02899
Mean76.958486
Median Absolute Deviation (MAD)2
Skewness28.025717
Sum189087
Variance518843.64
MonotonicityNot monotonic
2024-03-23T06:48:37.112668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 997
36.7%
1 184
 
6.8%
2 123
 
4.5%
4 78
 
2.9%
3 72
 
2.6%
5 48
 
1.8%
7 38
 
1.4%
8 37
 
1.4%
6 33
 
1.2%
10 32
 
1.2%
Other values (297) 815
30.0%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 997
36.7%
1 184
 
6.8%
2 123
 
4.5%
3 72
 
2.6%
4 78
 
2.9%
5 48
 
1.8%
6 33
 
1.2%
7 38
 
1.4%
8 37
 
1.4%
9 19
 
0.7%
ValueCountFrequency (%)
24500 1
< 0.1%
21834 1
< 0.1%
6612 1
< 0.1%
6219 1
< 0.1%
5132 1
< 0.1%
4279 1
< 0.1%
3440 1
< 0.1%
3035 1
< 0.1%
2171 1
< 0.1%
2107 1
< 0.1%

2009-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct307
Distinct (%)12.5%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean84.76394
Minimum0
Maximum26657
Zeros984
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:37.523048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile254.6
Maximum26657
Range26657
Interquartile range (IQR)24

Descriptive statistics

Standard deviation819.48619
Coefficient of variation (CV)9.6678634
Kurtosis895.37571
Mean84.76394
Median Absolute Deviation (MAD)2
Skewness28.393379
Sum208265
Variance671557.61
MonotonicityNot monotonic
2024-03-23T06:48:37.983683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 984
36.2%
1 160
 
5.9%
2 141
 
5.2%
3 73
 
2.7%
4 59
 
2.2%
5 52
 
1.9%
7 37
 
1.4%
6 35
 
1.3%
11 30
 
1.1%
8 28
 
1.0%
Other values (297) 858
31.6%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 984
36.2%
1 160
 
5.9%
2 141
 
5.2%
3 73
 
2.7%
4 59
 
2.2%
5 52
 
1.9%
6 35
 
1.3%
7 37
 
1.4%
8 28
 
1.0%
9 25
 
0.9%
ValueCountFrequency (%)
26657 1
< 0.1%
26498 1
< 0.1%
8305 1
< 0.1%
5829 1
< 0.1%
5612 1
< 0.1%
4370 1
< 0.1%
3816 1
< 0.1%
3353 1
< 0.1%
2455 1
< 0.1%
2254 1
< 0.1%

2009-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct303
Distinct (%)12.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean81.562882
Minimum0
Maximum25442
Zeros985
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:38.434225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile253.8
Maximum25442
Range25442
Interquartile range (IQR)23

Descriptive statistics

Standard deviation780.55019
Coefficient of variation (CV)9.5699193
Kurtosis903.38866
Mean81.562882
Median Absolute Deviation (MAD)2
Skewness28.525225
Sum200400
Variance609258.6
MonotonicityNot monotonic
2024-03-23T06:48:39.050487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 985
36.2%
1 172
 
6.3%
2 99
 
3.6%
3 95
 
3.5%
4 76
 
2.8%
5 50
 
1.8%
6 42
 
1.5%
8 31
 
1.1%
7 30
 
1.1%
14 28
 
1.0%
Other values (293) 849
31.2%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 985
36.2%
1 172
 
6.3%
2 99
 
3.6%
3 95
 
3.5%
4 76
 
2.8%
5 50
 
1.8%
6 42
 
1.5%
7 30
 
1.1%
8 31
 
1.1%
9 25
 
0.9%
ValueCountFrequency (%)
25442 1
< 0.1%
25318 1
< 0.1%
6694 1
< 0.1%
6316 1
< 0.1%
5913 1
< 0.1%
3677 1
< 0.1%
3311 1
< 0.1%
2850 1
< 0.1%
2765 1
< 0.1%
2024 1
< 0.1%

2009-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct279
Distinct (%)11.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean68.607652
Minimum0
Maximum21493
Zeros999
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:39.698307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile212
Maximum21493
Range21493
Interquartile range (IQR)22

Descriptive statistics

Standard deviation651.8713
Coefficient of variation (CV)9.5014374
Kurtosis924.91324
Mean68.607652
Median Absolute Deviation (MAD)2
Skewness28.893479
Sum168569
Variance424936.2
MonotonicityNot monotonic
2024-03-23T06:48:40.174941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 999
36.8%
1 179
 
6.6%
2 108
 
4.0%
3 84
 
3.1%
4 61
 
2.2%
5 49
 
1.8%
6 47
 
1.7%
7 45
 
1.7%
9 32
 
1.2%
10 29
 
1.1%
Other values (269) 824
30.3%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 999
36.8%
1 179
 
6.6%
2 108
 
4.0%
3 84
 
3.1%
4 61
 
2.2%
5 49
 
1.8%
6 47
 
1.7%
7 45
 
1.7%
8 25
 
0.9%
9 32
 
1.2%
ValueCountFrequency (%)
21493 1
< 0.1%
21167 1
< 0.1%
4977 1
< 0.1%
4930 1
< 0.1%
4186 1
< 0.1%
3229 1
< 0.1%
2744 1
< 0.1%
2200 1
< 0.1%
2045 1
< 0.1%
1987 1
< 0.1%

2009-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct270
Distinct (%)11.0%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean67.682133
Minimum0
Maximum21266
Zeros983
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:40.680475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile209.2
Maximum21266
Range21266
Interquartile range (IQR)20

Descriptive statistics

Standard deviation645.14368
Coefficient of variation (CV)9.5319644
Kurtosis933.65778
Mean67.682133
Median Absolute Deviation (MAD)2
Skewness29.061421
Sum166295
Variance416210.37
MonotonicityNot monotonic
2024-03-23T06:48:41.215835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 983
36.2%
1 182
 
6.7%
2 106
 
3.9%
3 92
 
3.4%
4 72
 
2.6%
7 43
 
1.6%
5 42
 
1.5%
8 37
 
1.4%
6 37
 
1.4%
10 30
 
1.1%
Other values (260) 833
30.6%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 983
36.2%
1 182
 
6.7%
2 106
 
3.9%
3 92
 
3.4%
4 72
 
2.6%
5 42
 
1.5%
6 37
 
1.4%
7 43
 
1.6%
8 37
 
1.4%
9 23
 
0.8%
ValueCountFrequency (%)
21266 1
< 0.1%
21058 1
< 0.1%
5165 1
< 0.1%
4703 1
< 0.1%
3310 1
< 0.1%
2944 1
< 0.1%
2817 1
< 0.1%
2598 1
< 0.1%
1944 1
< 0.1%
1837 1
< 0.1%

2010-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct254
Distinct (%)10.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean52.809524
Minimum0
Maximum16681
Zeros1028
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:41.664316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile164
Maximum16681
Range16681
Interquartile range (IQR)16

Descriptive statistics

Standard deviation500.25852
Coefficient of variation (CV)9.4728846
Kurtosis924.78329
Mean52.809524
Median Absolute Deviation (MAD)2
Skewness28.899259
Sum129753
Variance250258.59
MonotonicityNot monotonic
2024-03-23T06:48:42.630777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1028
37.8%
1 190
 
7.0%
2 131
 
4.8%
3 96
 
3.5%
5 62
 
2.3%
4 57
 
2.1%
6 43
 
1.6%
7 43
 
1.6%
10 33
 
1.2%
9 31
 
1.1%
Other values (244) 743
27.3%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1028
37.8%
1 190
 
7.0%
2 131
 
4.8%
3 96
 
3.5%
4 57
 
2.1%
5 62
 
2.3%
6 43
 
1.6%
7 43
 
1.6%
8 28
 
1.0%
9 31
 
1.1%
ValueCountFrequency (%)
16681 1
< 0.1%
16035 1
< 0.1%
4164 1
< 0.1%
4083 1
< 0.1%
2518 1
< 0.1%
2286 1
< 0.1%
2251 1
< 0.1%
1731 1
< 0.1%
1569 1
< 0.1%
1528 1
< 0.1%

2010-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct280
Distinct (%)11.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean61.87383
Minimum0
Maximum19507
Zeros1008
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:43.336615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile185.6
Maximum19507
Range19507
Interquartile range (IQR)19

Descriptive statistics

Standard deviation581.44349
Coefficient of variation (CV)9.3972442
Kurtosis927.60027
Mean61.87383
Median Absolute Deviation (MAD)2
Skewness28.93031
Sum152024
Variance338076.53
MonotonicityNot monotonic
2024-03-23T06:48:44.001407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1008
37.1%
1 184
 
6.8%
2 118
 
4.3%
3 91
 
3.3%
4 64
 
2.4%
5 49
 
1.8%
6 38
 
1.4%
8 34
 
1.3%
7 34
 
1.3%
9 29
 
1.1%
Other values (270) 808
29.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1008
37.1%
1 184
 
6.8%
2 118
 
4.3%
3 91
 
3.3%
4 64
 
2.4%
5 49
 
1.8%
6 38
 
1.4%
7 34
 
1.3%
8 34
 
1.3%
9 29
 
1.1%
ValueCountFrequency (%)
19507 1
< 0.1%
18538 1
< 0.1%
4818 1
< 0.1%
4323 1
< 0.1%
3177 1
< 0.1%
2854 1
< 0.1%
2295 1
< 0.1%
2014 1
< 0.1%
1896 1
< 0.1%
1845 1
< 0.1%

2010-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)12.0%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean72.88197
Minimum0
Maximum23632
Zeros970
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:44.633554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile217.8
Maximum23632
Range23632
Interquartile range (IQR)22

Descriptive statistics

Standard deviation693.27539
Coefficient of variation (CV)9.5123031
Kurtosis939.30412
Mean72.88197
Median Absolute Deviation (MAD)2
Skewness29.121201
Sum179071
Variance480630.77
MonotonicityNot monotonic
2024-03-23T06:48:45.328028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 970
35.7%
1 197
 
7.2%
2 104
 
3.8%
3 83
 
3.1%
4 64
 
2.4%
5 43
 
1.6%
7 41
 
1.5%
6 37
 
1.4%
9 33
 
1.2%
13 31
 
1.1%
Other values (284) 854
31.4%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 970
35.7%
1 197
 
7.2%
2 104
 
3.8%
3 83
 
3.1%
4 64
 
2.4%
5 43
 
1.6%
6 37
 
1.4%
7 41
 
1.5%
8 31
 
1.1%
9 33
 
1.2%
ValueCountFrequency (%)
23632 1
< 0.1%
21812 1
< 0.1%
5417 1
< 0.1%
4634 1
< 0.1%
4390 1
< 0.1%
3613 1
< 0.1%
2479 1
< 0.1%
2388 1
< 0.1%
2068 1
< 0.1%
2062 1
< 0.1%

2010-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct282
Distinct (%)11.5%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean66.107855
Minimum0
Maximum21308
Zeros1003
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:46.047570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile204.4
Maximum21308
Range21308
Interquartile range (IQR)20

Descriptive statistics

Standard deviation628.15721
Coefficient of variation (CV)9.5020057
Kurtosis946.61297
Mean66.107855
Median Absolute Deviation (MAD)2
Skewness29.262413
Sum162427
Variance394581.48
MonotonicityNot monotonic
2024-03-23T06:48:46.495708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1003
36.9%
1 180
 
6.6%
2 129
 
4.7%
3 78
 
2.9%
4 71
 
2.6%
5 50
 
1.8%
6 43
 
1.6%
7 41
 
1.5%
11 31
 
1.1%
12 26
 
1.0%
Other values (272) 805
29.6%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1003
36.9%
1 180
 
6.6%
2 129
 
4.7%
3 78
 
2.9%
4 71
 
2.6%
5 50
 
1.8%
6 43
 
1.6%
7 41
 
1.5%
8 17
 
0.6%
9 22
 
0.8%
ValueCountFrequency (%)
21308 1
< 0.1%
19991 1
< 0.1%
4598 1
< 0.1%
3633 1
< 0.1%
3565 1
< 0.1%
3301 1
< 0.1%
3030 1
< 0.1%
2535 1
< 0.1%
2187 1
< 0.1%
2066 1
< 0.1%

2010-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct249
Distinct (%)10.1%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean52.216117
Minimum0
Maximum16547
Zeros1027
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:47.166972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q317
95-th percentile161.4
Maximum16547
Range16547
Interquartile range (IQR)17

Descriptive statistics

Standard deviation497.6111
Coefficient of variation (CV)9.5298373
Kurtosis941.79598
Mean52.216117
Median Absolute Deviation (MAD)1
Skewness29.212663
Sum128295
Variance247616.81
MonotonicityNot monotonic
2024-03-23T06:48:47.841021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1027
37.8%
1 204
 
7.5%
2 102
 
3.8%
3 90
 
3.3%
4 68
 
2.5%
5 56
 
2.1%
7 47
 
1.7%
6 41
 
1.5%
8 31
 
1.1%
12 27
 
1.0%
Other values (239) 764
28.1%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1027
37.8%
1 204
 
7.5%
2 102
 
3.8%
3 90
 
3.3%
4 68
 
2.5%
5 56
 
2.1%
6 41
 
1.5%
7 47
 
1.7%
8 31
 
1.1%
9 23
 
0.8%
ValueCountFrequency (%)
16547 1
< 0.1%
16168 1
< 0.1%
3776 1
< 0.1%
3024 1
< 0.1%
2877 1
< 0.1%
2515 1
< 0.1%
2479 1
< 0.1%
2036 1
< 0.1%
1856 1
< 0.1%
1655 1
< 0.1%

2010-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct255
Distinct (%)10.4%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean52.440374
Minimum0
Maximum16416
Zeros1026
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:48.428998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile168.2
Maximum16416
Range16416
Interquartile range (IQR)16

Descriptive statistics

Standard deviation492.78714
Coefficient of variation (CV)9.3970943
Kurtosis927.62059
Mean52.440374
Median Absolute Deviation (MAD)1
Skewness28.925552
Sum128846
Variance242839.17
MonotonicityNot monotonic
2024-03-23T06:48:48.989495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1026
37.7%
1 208
 
7.7%
2 120
 
4.4%
3 69
 
2.5%
4 64
 
2.4%
5 56
 
2.1%
6 51
 
1.9%
11 39
 
1.4%
8 35
 
1.3%
7 33
 
1.2%
Other values (245) 756
27.8%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 1026
37.7%
1 208
 
7.7%
2 120
 
4.4%
3 69
 
2.5%
4 64
 
2.4%
5 56
 
2.1%
6 51
 
1.9%
7 33
 
1.2%
8 35
 
1.3%
9 30
 
1.1%
ValueCountFrequency (%)
16416 1
< 0.1%
15848 1
< 0.1%
3979 1
< 0.1%
3128 1
< 0.1%
2817 1
< 0.1%
2776 1
< 0.1%
2336 1
< 0.1%
2061 1
< 0.1%
1681 1
< 0.1%
1622 1
< 0.1%

2010-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct234
Distinct (%)9.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean49.047504
Minimum0
Maximum15319
Zeros1047
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:49.596451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q315
95-th percentile147.85
Maximum15319
Range15319
Interquartile range (IQR)15

Descriptive statistics

Standard deviation459.22535
Coefficient of variation (CV)9.3628689
Kurtosis946.83579
Mean49.047504
Median Absolute Deviation (MAD)1.5
Skewness29.254591
Sum121834
Variance210887.92
MonotonicityNot monotonic
2024-03-23T06:48:50.256702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1047
38.5%
1 195
 
7.2%
2 130
 
4.8%
4 77
 
2.8%
3 72
 
2.6%
5 62
 
2.3%
6 45
 
1.7%
7 38
 
1.4%
8 35
 
1.3%
9 31
 
1.1%
Other values (224) 752
27.7%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1047
38.5%
1 195
 
7.2%
2 130
 
4.8%
3 72
 
2.6%
4 77
 
2.8%
5 62
 
2.3%
6 45
 
1.7%
7 38
 
1.4%
8 35
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
15319 1
< 0.1%
14996 1
< 0.1%
3826 1
< 0.1%
2746 1
< 0.1%
2457 1
< 0.1%
2304 1
< 0.1%
1825 1
< 0.1%
1771 1
< 0.1%
1433 1
< 0.1%
1424 1
< 0.1%

2010-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct237
Distinct (%)9.5%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean46.109501
Minimum0
Maximum14923
Zeros1079
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:50.888990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile144.85
Maximum14923
Range14923
Interquartile range (IQR)15

Descriptive statistics

Standard deviation431.02735
Coefficient of variation (CV)9.3479075
Kurtosis960.76205
Mean46.109501
Median Absolute Deviation (MAD)1
Skewness29.454073
Sum114536
Variance185784.58
MonotonicityNot monotonic
2024-03-23T06:48:51.424666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1079
39.7%
1 193
 
7.1%
2 122
 
4.5%
3 89
 
3.3%
4 66
 
2.4%
5 55
 
2.0%
6 47
 
1.7%
9 35
 
1.3%
8 35
 
1.3%
7 33
 
1.2%
Other values (227) 730
26.9%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1079
39.7%
1 193
 
7.1%
2 122
 
4.5%
3 89
 
3.3%
4 66
 
2.4%
5 55
 
2.0%
6 47
 
1.7%
7 33
 
1.2%
8 35
 
1.3%
9 35
 
1.3%
ValueCountFrequency (%)
14923 1
< 0.1%
13541 1
< 0.1%
3433 1
< 0.1%
2533 1
< 0.1%
2347 1
< 0.1%
2216 1
< 0.1%
1722 1
< 0.1%
1678 1
< 0.1%
1368 1
< 0.1%
1343 1
< 0.1%

2010-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct244
Distinct (%)9.8%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean48.737923
Minimum0
Maximum15592
Zeros1081
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:51.834138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q314.25
95-th percentile145.85
Maximum15592
Range15592
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation458.37016
Coefficient of variation (CV)9.4047948
Kurtosis952.62276
Mean48.737923
Median Absolute Deviation (MAD)1
Skewness29.320842
Sum121065
Variance210103.2
MonotonicityNot monotonic
2024-03-23T06:48:52.337843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1081
39.8%
1 218
 
8.0%
2 115
 
4.2%
3 93
 
3.4%
4 58
 
2.1%
5 54
 
2.0%
7 43
 
1.6%
6 36
 
1.3%
10 33
 
1.2%
8 32
 
1.2%
Other values (234) 721
26.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1081
39.8%
1 218
 
8.0%
2 115
 
4.2%
3 93
 
3.4%
4 58
 
2.1%
5 54
 
2.0%
6 36
 
1.3%
7 43
 
1.6%
8 32
 
1.2%
9 26
 
1.0%
ValueCountFrequency (%)
15592 1
< 0.1%
14680 1
< 0.1%
3554 1
< 0.1%
2525 1
< 0.1%
2489 1
< 0.1%
2399 1
< 0.1%
1964 1
< 0.1%
1578 1
< 0.1%
1518 1
< 0.1%
1486 1
< 0.1%

2010-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct278
Distinct (%)11.2%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean65.887279
Minimum0
Maximum20412
Zeros1027
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:52.783090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile198.85
Maximum20412
Range20412
Interquartile range (IQR)20

Descriptive statistics

Standard deviation617.22029
Coefficient of variation (CV)9.3678219
Kurtosis933.43604
Mean65.887279
Median Absolute Deviation (MAD)2
Skewness29.003374
Sum163664
Variance380960.89
MonotonicityNot monotonic
2024-03-23T06:48:53.238546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1027
37.8%
1 188
 
6.9%
2 125
 
4.6%
3 78
 
2.9%
4 64
 
2.4%
5 46
 
1.7%
7 42
 
1.5%
6 39
 
1.4%
11 31
 
1.1%
10 29
 
1.1%
Other values (268) 815
30.0%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1027
37.8%
1 188
 
6.9%
2 125
 
4.6%
3 78
 
2.9%
4 64
 
2.4%
5 46
 
1.7%
6 39
 
1.4%
7 42
 
1.5%
8 28
 
1.0%
9 25
 
0.9%
ValueCountFrequency (%)
20412 1
< 0.1%
20188 1
< 0.1%
5179 1
< 0.1%
3879 1
< 0.1%
3759 1
< 0.1%
3365 1
< 0.1%
2541 1
< 0.1%
2419 1
< 0.1%
2143 1
< 0.1%
1791 1
< 0.1%

2010-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct309
Distinct (%)12.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean80.957327
Minimum0
Maximum26004
Zeros994
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:53.866285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile242.85
Maximum26004
Range26004
Interquartile range (IQR)24

Descriptive statistics

Standard deviation752.95666
Coefficient of variation (CV)9.3006611
Kurtosis932.62736
Mean80.957327
Median Absolute Deviation (MAD)2
Skewness28.919999
Sum201098
Variance566943.73
MonotonicityNot monotonic
2024-03-23T06:48:54.259794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 994
36.6%
1 209
 
7.7%
2 100
 
3.7%
3 82
 
3.0%
4 53
 
1.9%
5 49
 
1.8%
6 43
 
1.6%
9 30
 
1.1%
11 26
 
1.0%
8 25
 
0.9%
Other values (299) 873
32.1%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 994
36.6%
1 209
 
7.7%
2 100
 
3.7%
3 82
 
3.0%
4 53
 
1.9%
5 49
 
1.8%
6 43
 
1.6%
7 25
 
0.9%
8 25
 
0.9%
9 30
 
1.1%
ValueCountFrequency (%)
26004 1
< 0.1%
23281 1
< 0.1%
6571 1
< 0.1%
5242 1
< 0.1%
5166 1
< 0.1%
4010 1
< 0.1%
3067 1
< 0.1%
2517 1
< 0.1%
2339 1
< 0.1%
2212 1
< 0.1%

2010-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct346
Distinct (%)13.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean97.099034
Minimum0
Maximum30642
Zeros977
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:54.697866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q330
95-th percentile303.4
Maximum30642
Range30642
Interquartile range (IQR)30

Descriptive statistics

Standard deviation879.8653
Coefficient of variation (CV)9.0615248
Kurtosis924.34297
Mean97.099034
Median Absolute Deviation (MAD)2
Skewness28.701749
Sum241194
Variance774162.95
MonotonicityNot monotonic
2024-03-23T06:48:55.283315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
35.9%
1 168
 
6.2%
2 112
 
4.1%
3 71
 
2.6%
4 70
 
2.6%
6 38
 
1.4%
5 37
 
1.4%
7 36
 
1.3%
10 27
 
1.0%
15 26
 
1.0%
Other values (336) 922
33.9%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 977
35.9%
1 168
 
6.2%
2 112
 
4.1%
3 71
 
2.6%
4 70
 
2.6%
5 37
 
1.4%
6 38
 
1.4%
7 36
 
1.3%
8 21
 
0.8%
9 23
 
0.8%
ValueCountFrequency (%)
30642 1
< 0.1%
26667 1
< 0.1%
8534 1
< 0.1%
5771 1
< 0.1%
4966 1
< 0.1%
4800 1
< 0.1%
4102 1
< 0.1%
3191 1
< 0.1%
3095 1
< 0.1%
2883 1
< 0.1%

2011-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct292
Distinct (%)11.8%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean69.625604
Minimum0
Maximum22756
Zeros1016
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:55.714085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile215
Maximum22756
Range22756
Interquartile range (IQR)22

Descriptive statistics

Standard deviation650.06464
Coefficient of variation (CV)9.3365745
Kurtosis929.86479
Mean69.625604
Median Absolute Deviation (MAD)2
Skewness28.829828
Sum172950
Variance422584.03
MonotonicityNot monotonic
2024-03-23T06:48:56.469135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1016
37.4%
1 207
 
7.6%
2 119
 
4.4%
3 72
 
2.6%
4 58
 
2.1%
5 50
 
1.8%
6 38
 
1.4%
7 36
 
1.3%
8 33
 
1.2%
13 28
 
1.0%
Other values (282) 827
30.4%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1016
37.4%
1 207
 
7.6%
2 119
 
4.4%
3 72
 
2.6%
4 58
 
2.1%
5 50
 
1.8%
6 38
 
1.4%
7 36
 
1.3%
8 33
 
1.2%
9 25
 
0.9%
ValueCountFrequency (%)
22756 1
< 0.1%
19590 1
< 0.1%
6167 1
< 0.1%
5067 1
< 0.1%
4357 1
< 0.1%
2757 1
< 0.1%
2644 1
< 0.1%
2525 1
< 0.1%
2310 1
< 0.1%
2106 1
< 0.1%

2011-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct309
Distinct (%)12.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean78.350644
Minimum0
Maximum26376
Zeros1006
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:56.914837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile234
Maximum26376
Range26376
Interquartile range (IQR)24

Descriptive statistics

Standard deviation739.51144
Coefficient of variation (CV)9.4384857
Kurtosis947.03163
Mean78.350644
Median Absolute Deviation (MAD)2
Skewness29.077296
Sum194623
Variance546877.17
MonotonicityNot monotonic
2024-03-23T06:48:57.511549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1006
37.0%
1 168
 
6.2%
2 111
 
4.1%
3 86
 
3.2%
4 54
 
2.0%
6 54
 
2.0%
8 45
 
1.7%
5 44
 
1.6%
9 29
 
1.1%
7 29
 
1.1%
Other values (299) 858
31.6%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1006
37.0%
1 168
 
6.2%
2 111
 
4.1%
3 86
 
3.2%
4 54
 
2.0%
5 44
 
1.6%
6 54
 
2.0%
7 29
 
1.1%
8 45
 
1.7%
9 29
 
1.1%
ValueCountFrequency (%)
26376 1
< 0.1%
21766 1
< 0.1%
6741 1
< 0.1%
5923 1
< 0.1%
5515 1
< 0.1%
3014 1
< 0.1%
2776 1
< 0.1%
2586 1
< 0.1%
2381 1
< 0.1%
2351 1
< 0.1%

2011-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct332
Distinct (%)13.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean92.472222
Minimum0
Maximum28915
Zeros960
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:57.928181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile287.95
Maximum28915
Range28915
Interquartile range (IQR)30

Descriptive statistics

Standard deviation856.97883
Coefficient of variation (CV)9.267419
Kurtosis907.94478
Mean92.472222
Median Absolute Deviation (MAD)3
Skewness28.55068
Sum229701
Variance734412.72
MonotonicityNot monotonic
2024-03-23T06:48:58.579688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 960
35.3%
1 170
 
6.3%
2 109
 
4.0%
3 76
 
2.8%
4 65
 
2.4%
5 54
 
2.0%
6 45
 
1.7%
7 44
 
1.6%
8 33
 
1.2%
9 25
 
0.9%
Other values (322) 903
33.2%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 960
35.3%
1 170
 
6.3%
2 109
 
4.0%
3 76
 
2.8%
4 65
 
2.4%
5 54
 
2.0%
6 45
 
1.7%
7 44
 
1.6%
8 33
 
1.2%
9 25
 
0.9%
ValueCountFrequency (%)
28915 1
< 0.1%
26924 1
< 0.1%
7813 1
< 0.1%
7109 1
< 0.1%
6782 1
< 0.1%
4454 1
< 0.1%
3071 1
< 0.1%
2597 1
< 0.1%
2226 1
< 0.1%
2225 1
< 0.1%

2011-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct317
Distinct (%)12.8%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean83.863527
Minimum0
Maximum27352
Zeros951
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:48:58.990900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328.25
95-th percentile257
Maximum27352
Range27352
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation782.54202
Coefficient of variation (CV)9.3311365
Kurtosis943.38269
Mean83.863527
Median Absolute Deviation (MAD)2
Skewness29.103228
Sum208317
Variance612372.01
MonotonicityNot monotonic
2024-03-23T06:48:59.414144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 951
35.0%
1 180
 
6.6%
2 123
 
4.5%
3 72
 
2.6%
4 62
 
2.3%
5 56
 
2.1%
6 50
 
1.8%
8 34
 
1.3%
7 30
 
1.1%
9 28
 
1.0%
Other values (307) 898
33.0%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 951
35.0%
1 180
 
6.6%
2 123
 
4.5%
3 72
 
2.6%
4 62
 
2.3%
5 56
 
2.1%
6 50
 
1.8%
7 30
 
1.1%
8 34
 
1.3%
9 28
 
1.0%
ValueCountFrequency (%)
27352 1
< 0.1%
23904 1
< 0.1%
6574 1
< 0.1%
5855 1
< 0.1%
5521 1
< 0.1%
4235 1
< 0.1%
2680 1
< 0.1%
2583 1
< 0.1%
2340 1
< 0.1%
2085 1
< 0.1%

2011-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct316
Distinct (%)12.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean76.436795
Minimum0
Maximum23288
Zeros966
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:00.047361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile221.85
Maximum23288
Range23288
Interquartile range (IQR)24

Descriptive statistics

Standard deviation698.75125
Coefficient of variation (CV)9.141556
Kurtosis910.69982
Mean76.436795
Median Absolute Deviation (MAD)2
Skewness28.554217
Sum189869
Variance488253.3
MonotonicityNot monotonic
2024-03-23T06:49:00.607164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 966
35.5%
1 193
 
7.1%
2 116
 
4.3%
3 74
 
2.7%
5 61
 
2.2%
4 53
 
1.9%
6 44
 
1.6%
9 39
 
1.4%
8 37
 
1.4%
7 37
 
1.4%
Other values (306) 864
31.8%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 966
35.5%
1 193
 
7.1%
2 116
 
4.3%
3 74
 
2.7%
4 53
 
1.9%
5 61
 
2.2%
6 44
 
1.6%
7 37
 
1.4%
8 37
 
1.4%
9 39
 
1.4%
ValueCountFrequency (%)
23288 1
< 0.1%
22357 1
< 0.1%
6095 1
< 0.1%
4803 1
< 0.1%
4770 1
< 0.1%
4491 1
< 0.1%
2321 1
< 0.1%
2143 1
< 0.1%
2077 1
< 0.1%
1945 1
< 0.1%

2011-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct285
Distinct (%)11.5%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean70.901369
Minimum0
Maximum21031
Zeros976
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:01.151477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile218.55
Maximum21031
Range21031
Interquartile range (IQR)23

Descriptive statistics

Standard deviation641.62489
Coefficient of variation (CV)9.0495416
Kurtosis893.18541
Mean70.901369
Median Absolute Deviation (MAD)2
Skewness28.257788
Sum176119
Variance411682.5
MonotonicityNot monotonic
2024-03-23T06:49:01.627966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 976
35.9%
1 197
 
7.2%
2 119
 
4.4%
3 78
 
2.9%
5 62
 
2.3%
4 60
 
2.2%
6 47
 
1.7%
9 35
 
1.3%
7 31
 
1.1%
17 28
 
1.0%
Other values (275) 851
31.3%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 976
35.9%
1 197
 
7.2%
2 119
 
4.4%
3 78
 
2.9%
4 60
 
2.2%
5 62
 
2.3%
6 47
 
1.7%
7 31
 
1.1%
8 25
 
0.9%
9 35
 
1.3%
ValueCountFrequency (%)
21031 1
< 0.1%
20686 1
< 0.1%
6081 1
< 0.1%
4766 1
< 0.1%
4704 1
< 0.1%
4118 1
< 0.1%
2099 1
< 0.1%
1842 1
< 0.1%
1821 1
< 0.1%
1759 1
< 0.1%

2011-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct284
Distinct (%)11.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean66.043076
Minimum0
Maximum19939
Zeros988
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:02.099717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile205.85
Maximum19939
Range19939
Interquartile range (IQR)22

Descriptive statistics

Standard deviation595.91748
Coefficient of variation (CV)9.0231636
Kurtosis895.85229
Mean66.043076
Median Absolute Deviation (MAD)2
Skewness28.301433
Sum164051
Variance355117.64
MonotonicityNot monotonic
2024-03-23T06:49:02.660780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 988
36.4%
1 184
 
6.8%
2 133
 
4.9%
3 75
 
2.8%
4 73
 
2.7%
5 54
 
2.0%
6 46
 
1.7%
10 36
 
1.3%
8 32
 
1.2%
7 28
 
1.0%
Other values (274) 835
30.7%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 988
36.4%
1 184
 
6.8%
2 133
 
4.9%
3 75
 
2.8%
4 73
 
2.7%
5 54
 
2.0%
6 46
 
1.7%
7 28
 
1.0%
8 32
 
1.2%
9 25
 
0.9%
ValueCountFrequency (%)
19939 1
< 0.1%
18783 1
< 0.1%
5839 1
< 0.1%
4669 1
< 0.1%
3958 1
< 0.1%
3956 1
< 0.1%
1913 1
< 0.1%
1663 1
< 0.1%
1640 1
< 0.1%
1563 1
< 0.1%

2011-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)11.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean66.074879
Minimum0
Maximum20342
Zeros994
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:03.099788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile198.85
Maximum20342
Range20342
Interquartile range (IQR)21

Descriptive statistics

Standard deviation606.87202
Coefficient of variation (CV)9.1846104
Kurtosis911.8506
Mean66.074879
Median Absolute Deviation (MAD)2
Skewness28.604352
Sum164130
Variance368293.65
MonotonicityNot monotonic
2024-03-23T06:49:03.767734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 994
36.6%
1 198
 
7.3%
2 117
 
4.3%
3 86
 
3.2%
4 61
 
2.2%
5 46
 
1.7%
8 41
 
1.5%
7 39
 
1.4%
6 35
 
1.3%
9 25
 
0.9%
Other values (281) 842
31.0%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 994
36.6%
1 198
 
7.3%
2 117
 
4.3%
3 86
 
3.2%
4 61
 
2.2%
5 46
 
1.7%
6 35
 
1.3%
7 39
 
1.4%
8 41
 
1.5%
9 25
 
0.9%
ValueCountFrequency (%)
20342 1
< 0.1%
19288 1
< 0.1%
5548 1
< 0.1%
4725 1
< 0.1%
4029 1
< 0.1%
3540 1
< 0.1%
2047 1
< 0.1%
2017 1
< 0.1%
1739 1
< 0.1%
1664 1
< 0.1%

2011-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct278
Distinct (%)11.2%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean64.752818
Minimum0
Maximum19645
Zeros999
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:04.244701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile194.25
Maximum19645
Range19645
Interquartile range (IQR)22

Descriptive statistics

Standard deviation597.42004
Coefficient of variation (CV)9.2261628
Kurtosis891.99183
Mean64.752818
Median Absolute Deviation (MAD)2
Skewness28.277512
Sum160846
Variance356910.71
MonotonicityNot monotonic
2024-03-23T06:49:05.113864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 999
36.8%
1 184
 
6.8%
2 128
 
4.7%
3 98
 
3.6%
4 63
 
2.3%
6 52
 
1.9%
5 45
 
1.7%
9 29
 
1.1%
11 28
 
1.0%
14 28
 
1.0%
Other values (268) 830
30.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 999
36.8%
1 184
 
6.8%
2 128
 
4.7%
3 98
 
3.6%
4 63
 
2.3%
5 45
 
1.7%
6 52
 
1.9%
7 25
 
0.9%
8 23
 
0.8%
9 29
 
1.1%
ValueCountFrequency (%)
19645 1
< 0.1%
19169 1
< 0.1%
5551 1
< 0.1%
4984 1
< 0.1%
4682 1
< 0.1%
3880 1
< 0.1%
2010 1
< 0.1%
1698 1
< 0.1%
1558 1
< 0.1%
1429 1
< 0.1%

2011-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct290
Distinct (%)11.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean70.632045
Minimum0
Maximum22123
Zeros979
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:05.698508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile202.85
Maximum22123
Range22123
Interquartile range (IQR)22

Descriptive statistics

Standard deviation658.53397
Coefficient of variation (CV)9.3234448
Kurtosis901.151
Mean70.632045
Median Absolute Deviation (MAD)2
Skewness28.429251
Sum175450
Variance433666.99
MonotonicityNot monotonic
2024-03-23T06:49:06.317521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 979
36.0%
1 182
 
6.7%
2 125
 
4.6%
3 84
 
3.1%
4 64
 
2.4%
5 47
 
1.7%
6 41
 
1.5%
7 41
 
1.5%
12 32
 
1.2%
9 31
 
1.1%
Other values (280) 858
31.6%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 979
36.0%
1 182
 
6.7%
2 125
 
4.6%
3 84
 
3.1%
4 64
 
2.4%
5 47
 
1.7%
6 41
 
1.5%
7 41
 
1.5%
8 30
 
1.1%
9 31
 
1.1%
ValueCountFrequency (%)
22123 1
< 0.1%
20713 1
< 0.1%
6098 1
< 0.1%
5210 1
< 0.1%
5197 1
< 0.1%
4414 1
< 0.1%
1927 1
< 0.1%
1794 1
< 0.1%
1725 1
< 0.1%
1556 1
< 0.1%

2011-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct288
Distinct (%)11.6%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean70.175523
Minimum0
Maximum21154
Zeros972
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:06.781693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile208.85
Maximum21154
Range21154
Interquartile range (IQR)23

Descriptive statistics

Standard deviation642.21476
Coefficient of variation (CV)9.1515492
Kurtosis896.61803
Mean70.175523
Median Absolute Deviation (MAD)2
Skewness28.353444
Sum174316
Variance412439.79
MonotonicityNot monotonic
2024-03-23T06:49:07.578622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 972
35.8%
1 187
 
6.9%
2 118
 
4.3%
3 78
 
2.9%
4 69
 
2.5%
5 57
 
2.1%
6 47
 
1.7%
7 34
 
1.3%
11 34
 
1.3%
15 32
 
1.2%
Other values (278) 856
31.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 972
35.8%
1 187
 
6.9%
2 118
 
4.3%
3 78
 
2.9%
4 69
 
2.5%
5 57
 
2.1%
6 47
 
1.7%
7 34
 
1.3%
8 28
 
1.0%
9 23
 
0.8%
ValueCountFrequency (%)
21154 1
< 0.1%
20629 1
< 0.1%
6139 1
< 0.1%
5053 1
< 0.1%
4852 1
< 0.1%
4023 1
< 0.1%
1875 1
< 0.1%
1867 1
< 0.1%
1664 1
< 0.1%
1582 1
< 0.1%

2011-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct339
Distinct (%)13.6%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean99.1719
Minimum0
Maximum33027
Zeros895
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:08.120111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332
95-th percentile279.85
Maximum33027
Range33027
Interquartile range (IQR)32

Descriptive statistics

Standard deviation914.97436
Coefficient of variation (CV)9.2261453
Kurtosis963.42483
Mean99.1719
Median Absolute Deviation (MAD)3
Skewness29.285799
Sum246343
Variance837178.07
MonotonicityNot monotonic
2024-03-23T06:49:08.969053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 895
32.9%
1 187
 
6.9%
2 105
 
3.9%
4 84
 
3.1%
3 76
 
2.8%
5 40
 
1.5%
6 39
 
1.4%
10 37
 
1.4%
7 35
 
1.3%
8 30
 
1.1%
Other values (329) 956
35.2%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 895
32.9%
1 187
 
6.9%
2 105
 
3.9%
3 76
 
2.8%
4 84
 
3.1%
5 40
 
1.5%
6 39
 
1.4%
7 35
 
1.3%
8 30
 
1.1%
9 27
 
1.0%
ValueCountFrequency (%)
33027 1
< 0.1%
26607 1
< 0.1%
8012 1
< 0.1%
7139 1
< 0.1%
6153 1
< 0.1%
4554 1
< 0.1%
2831 1
< 0.1%
2522 1
< 0.1%
2479 1
< 0.1%
2294 1
< 0.1%

2012-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct168
Distinct (%)6.8%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean23.337762
Minimum0
Maximum6931
Zeros1189
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:10.654360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile74.85
Maximum6931
Range6931
Interquartile range (IQR)8

Descriptive statistics

Standard deviation206.3162
Coefficient of variation (CV)8.8404451
Kurtosis890.45436
Mean23.337762
Median Absolute Deviation (MAD)1
Skewness28.159915
Sum57971
Variance42566.375
MonotonicityNot monotonic
2024-03-23T06:49:11.694231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1189
43.7%
1 220
 
8.1%
2 117
 
4.3%
3 88
 
3.2%
4 70
 
2.6%
5 55
 
2.0%
6 45
 
1.7%
8 44
 
1.6%
7 42
 
1.5%
10 28
 
1.0%
Other values (158) 586
21.6%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1189
43.7%
1 220
 
8.1%
2 117
 
4.3%
3 88
 
3.2%
4 70
 
2.6%
5 55
 
2.0%
6 45
 
1.7%
7 42
 
1.5%
8 44
 
1.6%
9 27
 
1.0%
ValueCountFrequency (%)
6931 1
< 0.1%
6448 1
< 0.1%
1974 1
< 0.1%
1743 1
< 0.1%
1377 1
< 0.1%
1174 1
< 0.1%
625 1
< 0.1%
603 1
< 0.1%
594 1
< 0.1%
556 1
< 0.1%

2012-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct247
Distinct (%)9.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean49.79066
Minimum0
Maximum14818
Zeros1020
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:12.547599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318.25
95-th percentile156.85
Maximum14818
Range14818
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation449.08335
Coefficient of variation (CV)9.0194294
Kurtosis909.1638
Mean49.79066
Median Absolute Deviation (MAD)2
Skewness28.564032
Sum123680
Variance201675.85
MonotonicityNot monotonic
2024-03-23T06:49:13.867490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1020
37.5%
1 199
 
7.3%
2 127
 
4.7%
4 75
 
2.8%
3 67
 
2.5%
6 53
 
1.9%
5 43
 
1.6%
7 39
 
1.4%
9 36
 
1.3%
8 33
 
1.2%
Other values (237) 792
29.1%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1020
37.5%
1 199
 
7.3%
2 127
 
4.7%
3 67
 
2.5%
4 75
 
2.8%
5 43
 
1.6%
6 53
 
1.9%
7 39
 
1.4%
8 33
 
1.2%
9 36
 
1.3%
ValueCountFrequency (%)
14818 1
< 0.1%
14516 1
< 0.1%
3975 1
< 0.1%
3273 1
< 0.1%
3108 1
< 0.1%
3090 1
< 0.1%
1362 1
< 0.1%
1182 1
< 0.1%
1148 1
< 0.1%
1138 1
< 0.1%

2012-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct267
Distinct (%)10.7%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean60.256844
Minimum0
Maximum18026
Zeros995
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:14.347440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile180.55
Maximum18026
Range18026
Interquartile range (IQR)20

Descriptive statistics

Standard deviation546.01919
Coefficient of variation (CV)9.0615299
Kurtosis887.77849
Mean60.256844
Median Absolute Deviation (MAD)2
Skewness28.149548
Sum149678
Variance298136.95
MonotonicityNot monotonic
2024-03-23T06:49:14.867851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 995
36.6%
1 197
 
7.2%
2 105
 
3.9%
3 79
 
2.9%
5 73
 
2.7%
4 58
 
2.1%
6 42
 
1.5%
7 39
 
1.4%
9 33
 
1.2%
14 30
 
1.1%
Other values (257) 833
30.6%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 995
36.6%
1 197
 
7.2%
2 105
 
3.9%
3 79
 
2.9%
4 58
 
2.1%
5 73
 
2.7%
6 42
 
1.5%
7 39
 
1.4%
8 27
 
1.0%
9 33
 
1.2%
ValueCountFrequency (%)
18026 1
< 0.1%
17407 1
< 0.1%
4652 1
< 0.1%
4316 1
< 0.1%
4292 1
< 0.1%
4094 1
< 0.1%
1642 1
< 0.1%
1611 1
< 0.1%
1382 1
< 0.1%
1380 1
< 0.1%

2012-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct258
Distinct (%)10.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean57.836151
Minimum0
Maximum17420
Zeros996
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:15.517456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile171.85
Maximum17420
Range17420
Interquartile range (IQR)20

Descriptive statistics

Standard deviation531.47676
Coefficient of variation (CV)9.1893521
Kurtosis906.49744
Mean57.836151
Median Absolute Deviation (MAD)2
Skewness28.512558
Sum143665
Variance282467.55
MonotonicityNot monotonic
2024-03-23T06:49:16.046504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 996
36.6%
1 195
 
7.2%
2 105
 
3.9%
3 93
 
3.4%
4 73
 
2.7%
7 45
 
1.7%
6 44
 
1.6%
5 44
 
1.6%
8 37
 
1.4%
9 31
 
1.1%
Other values (248) 821
30.2%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 996
36.6%
1 195
 
7.2%
2 105
 
3.9%
3 93
 
3.4%
4 73
 
2.7%
5 44
 
1.6%
6 44
 
1.6%
7 45
 
1.7%
8 37
 
1.4%
9 31
 
1.1%
ValueCountFrequency (%)
17420 1
< 0.1%
17274 1
< 0.1%
4373 1
< 0.1%
3986 1
< 0.1%
3857 1
< 0.1%
3781 1
< 0.1%
1824 1
< 0.1%
1608 1
< 0.1%
1517 1
< 0.1%
1379 1
< 0.1%

2012-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct259
Distinct (%)10.4%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean58.328905
Minimum0
Maximum19376
Zeros1022
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:16.721184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile165.7
Maximum19376
Range19376
Interquartile range (IQR)19

Descriptive statistics

Standard deviation554.67144
Coefficient of variation (CV)9.5093751
Kurtosis946.1742
Mean58.328905
Median Absolute Deviation (MAD)2
Skewness29.101404
Sum144889
Variance307660.4
MonotonicityNot monotonic
2024-03-23T06:49:17.368737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1022
37.6%
1 184
 
6.8%
2 130
 
4.8%
3 84
 
3.1%
7 52
 
1.9%
5 52
 
1.9%
4 49
 
1.8%
6 43
 
1.6%
8 37
 
1.4%
11 30
 
1.1%
Other values (249) 801
29.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1022
37.6%
1 184
 
6.8%
2 130
 
4.8%
3 84
 
3.1%
4 49
 
1.8%
5 52
 
1.9%
6 43
 
1.6%
7 52
 
1.9%
8 37
 
1.4%
9 28
 
1.0%
ValueCountFrequency (%)
19376 1
< 0.1%
17008 1
< 0.1%
4082 1
< 0.1%
3628 1
< 0.1%
3433 1
< 0.1%
3104 1
< 0.1%
2448 1
< 0.1%
2271 1
< 0.1%
1852 1
< 0.1%
1850 1
< 0.1%

2012-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct245
Distinct (%)9.9%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean47.708535
Minimum0
Maximum13838
Zeros1030
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:18.013826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile145.85
Maximum13838
Range13838
Interquartile range (IQR)17

Descriptive statistics

Standard deviation425.02256
Coefficient of variation (CV)8.9087321
Kurtosis890.09227
Mean47.708535
Median Absolute Deviation (MAD)2
Skewness28.194373
Sum118508
Variance180644.17
MonotonicityNot monotonic
2024-03-23T06:49:18.687097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1030
37.9%
1 177
 
6.5%
2 127
 
4.7%
3 92
 
3.4%
4 69
 
2.5%
6 54
 
2.0%
5 53
 
1.9%
9 39
 
1.4%
7 35
 
1.3%
8 32
 
1.2%
Other values (235) 776
28.6%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 1030
37.9%
1 177
 
6.5%
2 127
 
4.7%
3 92
 
3.4%
4 69
 
2.5%
5 53
 
1.9%
6 54
 
2.0%
7 35
 
1.3%
8 32
 
1.2%
9 39
 
1.4%
ValueCountFrequency (%)
13838 1
< 0.1%
13777 1
< 0.1%
3824 1
< 0.1%
3226 1
< 0.1%
3189 1
< 0.1%
2985 1
< 0.1%
1336 1
< 0.1%
1290 1
< 0.1%
1119 1
< 0.1%
1110 1
< 0.1%

2012-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct246
Distinct (%)9.9%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean48.070598
Minimum0
Maximum14014
Zeros1054
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:19.465677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile146.2
Maximum14014
Range14014
Interquartile range (IQR)16

Descriptive statistics

Standard deviation430.4602
Coefficient of variation (CV)8.9547504
Kurtosis878.07887
Mean48.070598
Median Absolute Deviation (MAD)2
Skewness27.946484
Sum119840
Variance185295.99
MonotonicityNot monotonic
2024-03-23T06:49:20.059628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1054
38.8%
1 189
 
7.0%
2 120
 
4.4%
3 82
 
3.0%
4 74
 
2.7%
5 62
 
2.3%
6 47
 
1.7%
9 34
 
1.3%
7 33
 
1.2%
14 32
 
1.2%
Other values (236) 766
28.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1054
38.8%
1 189
 
7.0%
2 120
 
4.4%
3 82
 
3.0%
4 74
 
2.7%
5 62
 
2.3%
6 47
 
1.7%
7 33
 
1.2%
8 23
 
0.8%
9 34
 
1.3%
ValueCountFrequency (%)
14014 1
< 0.1%
13876 1
< 0.1%
4012 1
< 0.1%
3830 1
< 0.1%
2946 1
< 0.1%
2821 1
< 0.1%
1304 1
< 0.1%
1280 1
< 0.1%
1230 1
< 0.1%
1095 1
< 0.1%

2012-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct217
Distinct (%)8.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean39.8929
Minimum0
Maximum11831
Zeros1058
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:20.745252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q314
95-th percentile116.8
Maximum11831
Range11831
Interquartile range (IQR)14

Descriptive statistics

Standard deviation359.17779
Coefficient of variation (CV)9.0035518
Kurtosis880.72849
Mean39.8929
Median Absolute Deviation (MAD)1
Skewness28.034651
Sum99453
Variance129008.69
MonotonicityNot monotonic
2024-03-23T06:49:21.320901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1058
38.9%
1 199
 
7.3%
2 138
 
5.1%
3 83
 
3.1%
4 67
 
2.5%
5 61
 
2.2%
6 60
 
2.2%
7 55
 
2.0%
9 38
 
1.4%
11 26
 
1.0%
Other values (207) 708
26.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1058
38.9%
1 199
 
7.3%
2 138
 
5.1%
3 83
 
3.1%
4 67
 
2.5%
5 61
 
2.2%
6 60
 
2.2%
7 55
 
2.0%
8 25
 
0.9%
9 38
 
1.4%
ValueCountFrequency (%)
11831 1
< 0.1%
11438 1
< 0.1%
4026 1
< 0.1%
2514 1
< 0.1%
2425 1
< 0.1%
2308 1
< 0.1%
996 1
< 0.1%
948 1
< 0.1%
934 2
0.1%
907 1
< 0.1%

2012-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct193
Distinct (%)7.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean33.519053
Minimum0
Maximum10132
Zeros1092
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:21.875221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile100
Maximum10132
Range10132
Interquartile range (IQR)12

Descriptive statistics

Standard deviation304.77119
Coefficient of variation (CV)9.0924762
Kurtosis900.60996
Mean33.519053
Median Absolute Deviation (MAD)1
Skewness28.38173
Sum83563
Variance92885.481
MonotonicityNot monotonic
2024-03-23T06:49:22.442001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1092
40.2%
1 212
 
7.8%
2 132
 
4.9%
3 81
 
3.0%
4 67
 
2.5%
5 65
 
2.4%
6 50
 
1.8%
8 44
 
1.6%
7 39
 
1.4%
9 31
 
1.1%
Other values (183) 680
25.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1092
40.2%
1 212
 
7.8%
2 132
 
4.9%
3 81
 
3.0%
4 67
 
2.5%
5 65
 
2.4%
6 50
 
1.8%
7 39
 
1.4%
8 44
 
1.6%
9 31
 
1.1%
ValueCountFrequency (%)
10132 1
< 0.1%
9733 1
< 0.1%
2841 1
< 0.1%
2264 1
< 0.1%
2258 1
< 0.1%
1996 1
< 0.1%
892 1
< 0.1%
891 1
< 0.1%
867 1
< 0.1%
775 1
< 0.1%

2012-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct265
Distinct (%)10.6%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean58.07862
Minimum0
Maximum17623
Zeros988
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:23.157465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile173
Maximum17623
Range17623
Interquartile range (IQR)20

Descriptive statistics

Standard deviation538.06544
Coefficient of variation (CV)9.2644322
Kurtosis915.52978
Mean58.07862
Median Absolute Deviation (MAD)2
Skewness28.696063
Sum144790
Variance289514.42
MonotonicityNot monotonic
2024-03-23T06:49:23.564926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 988
36.4%
1 186
 
6.8%
2 130
 
4.8%
3 90
 
3.3%
5 61
 
2.2%
6 56
 
2.1%
4 53
 
1.9%
7 44
 
1.6%
9 36
 
1.3%
8 31
 
1.1%
Other values (255) 818
30.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 988
36.4%
1 186
 
6.8%
2 130
 
4.8%
3 90
 
3.3%
4 53
 
1.9%
5 61
 
2.2%
6 56
 
2.1%
7 44
 
1.6%
8 31
 
1.1%
9 36
 
1.3%
ValueCountFrequency (%)
17623 1
< 0.1%
17617 1
< 0.1%
4771 1
< 0.1%
4215 1
< 0.1%
3990 1
< 0.1%
3047 1
< 0.1%
1718 1
< 0.1%
1601 1
< 0.1%
1508 1
< 0.1%
1404 1
< 0.1%

2012-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct283
Distinct (%)11.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean64.36061
Minimum0
Maximum20383
Zeros972
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:24.240751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile192.8
Maximum20383
Range20383
Interquartile range (IQR)22

Descriptive statistics

Standard deviation593.13647
Coefficient of variation (CV)9.2158305
Kurtosis909.60208
Mean64.36061
Median Absolute Deviation (MAD)2
Skewness28.46489
Sum160451
Variance351810.87
MonotonicityNot monotonic
2024-03-23T06:49:24.824558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 972
35.8%
1 195
 
7.2%
2 123
 
4.5%
3 78
 
2.9%
4 74
 
2.7%
5 55
 
2.0%
6 46
 
1.7%
8 42
 
1.5%
9 32
 
1.2%
12 27
 
1.0%
Other values (273) 849
31.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 972
35.8%
1 195
 
7.2%
2 123
 
4.5%
3 78
 
2.9%
4 74
 
2.7%
5 55
 
2.0%
6 46
 
1.7%
7 24
 
0.9%
8 42
 
1.5%
9 32
 
1.2%
ValueCountFrequency (%)
20383 1
< 0.1%
18218 1
< 0.1%
5357 1
< 0.1%
4751 1
< 0.1%
3965 1
< 0.1%
3503 1
< 0.1%
2405 1
< 0.1%
2394 1
< 0.1%
2095 1
< 0.1%
1667 1
< 0.1%

2012-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct333
Distinct (%)13.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean105.53069
Minimum0
Maximum32540
Zeros918
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:25.625771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334
95-th percentile279.8
Maximum32540
Range32540
Interquartile range (IQR)34

Descriptive statistics

Standard deviation984.32236
Coefficient of variation (CV)9.3273568
Kurtosis895.23806
Mean105.53069
Median Absolute Deviation (MAD)3
Skewness28.187986
Sum263088
Variance968890.51
MonotonicityNot monotonic
2024-03-23T06:49:26.274168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918
33.8%
1 165
 
6.1%
2 107
 
3.9%
3 85
 
3.1%
4 59
 
2.2%
5 48
 
1.8%
9 45
 
1.7%
7 43
 
1.6%
8 39
 
1.4%
10 34
 
1.3%
Other values (323) 950
35.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 918
33.8%
1 165
 
6.1%
2 107
 
3.9%
3 85
 
3.1%
4 59
 
2.2%
5 48
 
1.8%
6 26
 
1.0%
7 43
 
1.6%
8 39
 
1.4%
9 45
 
1.7%
ValueCountFrequency (%)
32540 1
< 0.1%
31565 1
< 0.1%
8352 1
< 0.1%
6980 1
< 0.1%
5490 1
< 0.1%
4660 1
< 0.1%
4605 1
< 0.1%
4550 1
< 0.1%
4290 1
< 0.1%
4117 1
< 0.1%

2013-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct156
Distinct (%)6.3%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean21.888488
Minimum0
Maximum6180
Zeros1199
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:27.015172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile60.4
Maximum6180
Range6180
Interquartile range (IQR)7

Descriptive statistics

Standard deviation191.25481
Coefficient of variation (CV)8.7376897
Kurtosis829.56318
Mean21.888488
Median Absolute Deviation (MAD)1
Skewness26.948884
Sum54568
Variance36578.404
MonotonicityNot monotonic
2024-03-23T06:49:27.699878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1199
44.1%
1 230
 
8.5%
2 140
 
5.2%
3 88
 
3.2%
4 72
 
2.6%
5 51
 
1.9%
6 46
 
1.7%
7 44
 
1.6%
10 38
 
1.4%
8 28
 
1.0%
Other values (146) 557
20.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1199
44.1%
1 230
 
8.5%
2 140
 
5.2%
3 88
 
3.2%
4 72
 
2.6%
5 51
 
1.9%
6 46
 
1.7%
7 44
 
1.6%
8 28
 
1.0%
9 24
 
0.9%
ValueCountFrequency (%)
6180 1
< 0.1%
6028 1
< 0.1%
2052 1
< 0.1%
1683 1
< 0.1%
1225 1
< 0.1%
955 1
< 0.1%
898 1
< 0.1%
860 1
< 0.1%
807 1
< 0.1%
767 1
< 0.1%

2013-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct227
Distinct (%)9.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean43.764541
Minimum0
Maximum14004
Zeros1063
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:28.133487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile132.4
Maximum14004
Range14004
Interquartile range (IQR)15

Descriptive statistics

Standard deviation410.47588
Coefficient of variation (CV)9.3791885
Kurtosis948.33085
Mean43.764541
Median Absolute Deviation (MAD)1
Skewness29.279285
Sum109105
Variance168490.45
MonotonicityNot monotonic
2024-03-23T06:49:28.562400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1063
39.1%
1 209
 
7.7%
2 110
 
4.0%
3 87
 
3.2%
4 64
 
2.4%
6 59
 
2.2%
5 58
 
2.1%
8 44
 
1.6%
7 36
 
1.3%
9 32
 
1.2%
Other values (217) 731
26.9%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1063
39.1%
1 209
 
7.7%
2 110
 
4.0%
3 87
 
3.2%
4 64
 
2.4%
5 58
 
2.1%
6 59
 
2.2%
7 36
 
1.3%
8 44
 
1.6%
9 32
 
1.2%
ValueCountFrequency (%)
14004 1
< 0.1%
13079 1
< 0.1%
3398 1
< 0.1%
3134 1
< 0.1%
2466 1
< 0.1%
2197 1
< 0.1%
1280 1
< 0.1%
1219 1
< 0.1%
1151 1
< 0.1%
1037 1
< 0.1%

2013-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct276
Distinct (%)11.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean60.819495
Minimum0
Maximum18907
Zeros991
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:28.979759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile182.4
Maximum18907
Range18907
Interquartile range (IQR)21

Descriptive statistics

Standard deviation564.72047
Coefficient of variation (CV)9.2851885
Kurtosis928.6982
Mean60.819495
Median Absolute Deviation (MAD)2
Skewness28.926613
Sum151623
Variance318909.21
MonotonicityNot monotonic
2024-03-23T06:49:29.447631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 991
36.5%
1 189
 
7.0%
2 105
 
3.9%
3 76
 
2.8%
4 73
 
2.7%
5 63
 
2.3%
6 44
 
1.6%
7 44
 
1.6%
8 38
 
1.4%
9 32
 
1.2%
Other values (266) 838
30.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 991
36.5%
1 189
 
7.0%
2 105
 
3.9%
3 76
 
2.8%
4 73
 
2.7%
5 63
 
2.3%
6 44
 
1.6%
7 44
 
1.6%
8 38
 
1.4%
9 32
 
1.2%
ValueCountFrequency (%)
18907 1
< 0.1%
18199 1
< 0.1%
4655 1
< 0.1%
4414 1
< 0.1%
3837 1
< 0.1%
3266 1
< 0.1%
2302 1
< 0.1%
1713 1
< 0.1%
1575 1
< 0.1%
1482 1
< 0.1%

2013-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)11.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean71.218612
Minimum0
Maximum22866
Zeros963
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:30.240759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile219
Maximum22866
Range22866
Interquartile range (IQR)24

Descriptive statistics

Standard deviation668.67433
Coefficient of variation (CV)9.3890391
Kurtosis921.90575
Mean71.218612
Median Absolute Deviation (MAD)2
Skewness28.775142
Sum177548
Variance447125.36
MonotonicityNot monotonic
2024-03-23T06:49:30.990220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 963
35.4%
1 189
 
7.0%
2 120
 
4.4%
3 84
 
3.1%
4 60
 
2.2%
5 52
 
1.9%
7 44
 
1.6%
6 43
 
1.6%
8 39
 
1.4%
9 36
 
1.3%
Other values (281) 863
31.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 963
35.4%
1 189
 
7.0%
2 120
 
4.4%
3 84
 
3.1%
4 60
 
2.2%
5 52
 
1.9%
6 43
 
1.6%
7 44
 
1.6%
8 39
 
1.4%
9 36
 
1.3%
ValueCountFrequency (%)
22866 1
< 0.1%
20861 1
< 0.1%
6058 1
< 0.1%
5429 1
< 0.1%
4772 1
< 0.1%
3589 1
< 0.1%
2784 1
< 0.1%
2145 1
< 0.1%
1893 1
< 0.1%
1811 1
< 0.1%

2013-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct315
Distinct (%)12.6%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean83.014842
Minimum0
Maximum26423
Zeros953
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:31.744745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile243.4
Maximum26423
Range26423
Interquartile range (IQR)26

Descriptive statistics

Standard deviation772.30691
Coefficient of variation (CV)9.3032389
Kurtosis910.34363
Mean83.014842
Median Absolute Deviation (MAD)2
Skewness28.517136
Sum206956
Variance596457.96
MonotonicityNot monotonic
2024-03-23T06:49:32.160129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 953
35.1%
1 182
 
6.7%
2 112
 
4.1%
3 84
 
3.1%
4 69
 
2.5%
5 47
 
1.7%
6 43
 
1.6%
7 43
 
1.6%
9 32
 
1.2%
8 31
 
1.1%
Other values (305) 897
33.0%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 953
35.1%
1 182
 
6.7%
2 112
 
4.1%
3 84
 
3.1%
4 69
 
2.5%
5 47
 
1.7%
6 43
 
1.6%
7 43
 
1.6%
8 31
 
1.1%
9 32
 
1.2%
ValueCountFrequency (%)
26423 1
< 0.1%
23890 1
< 0.1%
6740 1
< 0.1%
6347 1
< 0.1%
5706 1
< 0.1%
4629 1
< 0.1%
3259 1
< 0.1%
2546 1
< 0.1%
2223 1
< 0.1%
2173 1
< 0.1%

2013-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct381
Distinct (%)15.3%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean121.40834
Minimum0
Maximum40361
Zeros874
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:32.736820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q339
95-th percentile351.6
Maximum40361
Range40361
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1141.6022
Coefficient of variation (CV)9.4029964
Kurtosis944.40498
Mean121.40834
Median Absolute Deviation (MAD)4
Skewness29.044394
Sum302671
Variance1303255.6
MonotonicityNot monotonic
2024-03-23T06:49:33.281919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 874
32.2%
1 177
 
6.5%
2 106
 
3.9%
3 72
 
2.6%
4 56
 
2.1%
5 48
 
1.8%
6 35
 
1.3%
7 34
 
1.3%
12 34
 
1.3%
10 33
 
1.2%
Other values (371) 1024
37.7%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 874
32.2%
1 177
 
6.5%
2 106
 
3.9%
3 72
 
2.6%
4 56
 
2.1%
5 48
 
1.8%
6 35
 
1.3%
7 34
 
1.3%
8 31
 
1.1%
9 24
 
0.9%
ValueCountFrequency (%)
40361 1
< 0.1%
34253 1
< 0.1%
10151 1
< 0.1%
9099 1
< 0.1%
7290 1
< 0.1%
5174 1
< 0.1%
4487 1
< 0.1%
4428 1
< 0.1%
3346 1
< 0.1%
3308 1
< 0.1%

2013-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct188
Distinct (%)7.5%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean32.120337
Minimum0
Maximum10102
Zeros1096
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:33.831760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile94
Maximum10102
Range10102
Interquartile range (IQR)11

Descriptive statistics

Standard deviation300.43106
Coefficient of variation (CV)9.3532974
Kurtosis938.4349
Mean32.120337
Median Absolute Deviation (MAD)1
Skewness29.116847
Sum80076
Variance90258.823
MonotonicityNot monotonic
2024-03-23T06:49:34.356789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1096
40.3%
1 240
 
8.8%
2 130
 
4.8%
3 94
 
3.5%
5 58
 
2.1%
4 58
 
2.1%
6 53
 
1.9%
9 38
 
1.4%
8 35
 
1.3%
7 33
 
1.2%
Other values (178) 658
24.2%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1096
40.3%
1 240
 
8.8%
2 130
 
4.8%
3 94
 
3.5%
4 58
 
2.1%
5 58
 
2.1%
6 53
 
1.9%
7 33
 
1.2%
8 35
 
1.3%
9 38
 
1.4%
ValueCountFrequency (%)
10102 1
< 0.1%
9689 1
< 0.1%
2385 1
< 0.1%
2299 1
< 0.1%
2070 1
< 0.1%
1784 1
< 0.1%
923 1
< 0.1%
884 1
< 0.1%
837 1
< 0.1%
807 1
< 0.1%

2013-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct214
Distinct (%)8.6%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean39.502607
Minimum0
Maximum12626
Zeros1092
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:34.935002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile121
Maximum12626
Range12626
Interquartile range (IQR)12

Descriptive statistics

Standard deviation375.19197
Coefficient of variation (CV)9.4979039
Kurtosis932.25017
Mean39.502607
Median Absolute Deviation (MAD)1
Skewness29.023927
Sum98480
Variance140769.01
MonotonicityNot monotonic
2024-03-23T06:49:35.756665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1092
40.2%
1 202
 
7.4%
2 115
 
4.2%
3 98
 
3.6%
4 71
 
2.6%
5 61
 
2.2%
6 49
 
1.8%
7 43
 
1.6%
11 34
 
1.3%
9 32
 
1.2%
Other values (204) 696
25.6%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 1092
40.2%
1 202
 
7.4%
2 115
 
4.2%
3 98
 
3.6%
4 71
 
2.6%
5 61
 
2.2%
6 49
 
1.8%
7 43
 
1.6%
8 25
 
0.9%
9 32
 
1.2%
ValueCountFrequency (%)
12626 1
< 0.1%
12037 1
< 0.1%
3266 1
< 0.1%
2993 1
< 0.1%
2712 1
< 0.1%
1909 1
< 0.1%
1289 1
< 0.1%
1173 1
< 0.1%
968 1
< 0.1%
953 1
< 0.1%

2013-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct251
Distinct (%)10.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean51.059153
Minimum0
Maximum16144
Zeros1043
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:36.337765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile152.95
Maximum16144
Range16144
Interquartile range (IQR)17

Descriptive statistics

Standard deviation483.36888
Coefficient of variation (CV)9.466841
Kurtosis897.67874
Mean51.059153
Median Absolute Deviation (MAD)2
Skewness28.395039
Sum127750
Variance233645.47
MonotonicityNot monotonic
2024-03-23T06:49:36.761042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1043
38.4%
1 183
 
6.7%
2 124
 
4.6%
3 94
 
3.5%
4 76
 
2.8%
5 51
 
1.9%
6 46
 
1.7%
7 40
 
1.5%
9 40
 
1.5%
8 32
 
1.2%
Other values (241) 773
28.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1043
38.4%
1 183
 
6.7%
2 124
 
4.6%
3 94
 
3.5%
4 76
 
2.8%
5 51
 
1.9%
6 46
 
1.7%
7 40
 
1.5%
8 32
 
1.2%
9 40
 
1.5%
ValueCountFrequency (%)
16144 1
< 0.1%
15329 1
< 0.1%
4618 1
< 0.1%
4550 1
< 0.1%
3891 1
< 0.1%
2269 1
< 0.1%
1973 1
< 0.1%
1716 1
< 0.1%
1236 1
< 0.1%
1217 1
< 0.1%

2013-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct323
Distinct (%)13.0%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean85.150822
Minimum0
Maximum27805
Zeros958
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:37.193823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile256.8
Maximum27805
Range27805
Interquartile range (IQR)25

Descriptive statistics

Standard deviation807.88916
Coefficient of variation (CV)9.4877435
Kurtosis893.38892
Mean85.150822
Median Absolute Deviation (MAD)3
Skewness28.250443
Sum212281
Variance652684.89
MonotonicityNot monotonic
2024-03-23T06:49:37.835896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 958
35.2%
1 166
 
6.1%
2 111
 
4.1%
3 93
 
3.4%
5 60
 
2.2%
4 60
 
2.2%
8 40
 
1.5%
7 37
 
1.4%
6 37
 
1.4%
9 32
 
1.2%
Other values (313) 899
33.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 958
35.2%
1 166
 
6.1%
2 111
 
4.1%
3 93
 
3.4%
4 60
 
2.2%
5 60
 
2.2%
6 37
 
1.4%
7 37
 
1.4%
8 40
 
1.5%
9 32
 
1.2%
ValueCountFrequency (%)
27805 1
< 0.1%
24385 1
< 0.1%
8669 1
< 0.1%
6973 1
< 0.1%
6802 1
< 0.1%
3762 1
< 0.1%
3563 1
< 0.1%
2953 1
< 0.1%
2415 1
< 0.1%
1934 1
< 0.1%

2013-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct317
Distinct (%)12.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean79.775371
Minimum0
Maximum26214
Zeros947
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:38.410104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile247.4
Maximum26214
Range26214
Interquartile range (IQR)25

Descriptive statistics

Standard deviation750.70313
Coefficient of variation (CV)9.4102117
Kurtosis908.02707
Mean79.775371
Median Absolute Deviation (MAD)2
Skewness28.45979
Sum198880
Variance563555.19
MonotonicityNot monotonic
2024-03-23T06:49:39.010462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 947
34.8%
1 189
 
7.0%
2 118
 
4.3%
3 88
 
3.2%
4 73
 
2.7%
5 57
 
2.1%
6 41
 
1.5%
7 39
 
1.4%
10 30
 
1.1%
15 28
 
1.0%
Other values (307) 883
32.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 947
34.8%
1 189
 
7.0%
2 118
 
4.3%
3 88
 
3.2%
4 73
 
2.7%
5 57
 
2.1%
6 41
 
1.5%
7 39
 
1.4%
8 21
 
0.8%
9 18
 
0.7%
ValueCountFrequency (%)
26214 1
< 0.1%
22348 1
< 0.1%
7764 1
< 0.1%
6510 1
< 0.1%
6159 1
< 0.1%
3479 1
< 0.1%
3168 1
< 0.1%
2631 1
< 0.1%
2197 1
< 0.1%
2113 1
< 0.1%

2013-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)12.9%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean87.199759
Minimum0
Maximum27548
Zeros926
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:39.425579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile255.4
Maximum27548
Range27548
Interquartile range (IQR)30

Descriptive statistics

Standard deviation819.79118
Coefficient of variation (CV)9.401301
Kurtosis911.6074
Mean87.199759
Median Absolute Deviation (MAD)3
Skewness28.612106
Sum217389
Variance672057.59
MonotonicityNot monotonic
2024-03-23T06:49:39.992843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 926
34.1%
1 175
 
6.4%
2 122
 
4.5%
3 94
 
3.5%
4 63
 
2.3%
5 58
 
2.1%
7 40
 
1.5%
10 38
 
1.4%
8 33
 
1.2%
11 31
 
1.1%
Other values (311) 913
33.6%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 926
34.1%
1 175
 
6.4%
2 122
 
4.5%
3 94
 
3.5%
4 63
 
2.3%
5 58
 
2.1%
6 30
 
1.1%
7 40
 
1.5%
8 33
 
1.2%
9 28
 
1.0%
ValueCountFrequency (%)
27548 1
< 0.1%
26008 1
< 0.1%
7447 1
< 0.1%
6967 1
< 0.1%
5884 1
< 0.1%
3700 1
< 0.1%
3325 1
< 0.1%
3293 1
< 0.1%
2559 1
< 0.1%
2537 1
< 0.1%

2014-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct253
Distinct (%)10.3%
Missing261
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean54.94302
Minimum0
Maximum16892
Zeros941
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:40.878588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile158.6
Maximum16892
Range16892
Interquartile range (IQR)21

Descriptive statistics

Standard deviation486.86018
Coefficient of variation (CV)8.8611835
Kurtosis863.23386
Mean54.94302
Median Absolute Deviation (MAD)2
Skewness27.566615
Sum134995
Variance237032.83
MonotonicityNot monotonic
2024-03-23T06:49:41.670756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 941
34.6%
1 190
 
7.0%
2 133
 
4.9%
3 80
 
2.9%
4 65
 
2.4%
5 54
 
2.0%
6 48
 
1.8%
7 43
 
1.6%
8 40
 
1.5%
10 29
 
1.1%
Other values (243) 834
30.7%
(Missing) 261
 
9.6%
ValueCountFrequency (%)
0 941
34.6%
1 190
 
7.0%
2 133
 
4.9%
3 80
 
2.9%
4 65
 
2.4%
5 54
 
2.0%
6 48
 
1.8%
7 43
 
1.6%
8 40
 
1.5%
9 25
 
0.9%
ValueCountFrequency (%)
16892 1
< 0.1%
13958 1
< 0.1%
5321 1
< 0.1%
4821 1
< 0.1%
3336 1
< 0.1%
2723 1
< 0.1%
2395 1
< 0.1%
1720 1
< 0.1%
1659 1
< 0.1%
1552 1
< 0.1%

2014-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct304
Distinct (%)12.3%
Missing243
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean76.492525
Minimum0
Maximum23711
Zeros920
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:42.442465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327.5
95-th percentile234.3
Maximum23711
Range23711
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation699.629
Coefficient of variation (CV)9.1463707
Kurtosis886.8972
Mean76.492525
Median Absolute Deviation (MAD)3
Skewness28.136815
Sum189319
Variance489480.73
MonotonicityNot monotonic
2024-03-23T06:49:43.046479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 920
33.8%
1 185
 
6.8%
2 117
 
4.3%
4 72
 
2.6%
3 68
 
2.5%
5 54
 
2.0%
6 38
 
1.4%
8 38
 
1.4%
7 33
 
1.2%
12 29
 
1.1%
Other values (294) 921
33.9%
(Missing) 243
 
8.9%
ValueCountFrequency (%)
0 920
33.8%
1 185
 
6.8%
2 117
 
4.3%
3 68
 
2.5%
4 72
 
2.6%
5 54
 
2.0%
6 38
 
1.4%
7 33
 
1.2%
8 38
 
1.4%
9 27
 
1.0%
ValueCountFrequency (%)
23711 1
< 0.1%
21474 1
< 0.1%
6526 1
< 0.1%
6451 1
< 0.1%
5413 1
< 0.1%
3611 1
< 0.1%
3240 1
< 0.1%
2538 1
< 0.1%
2159 1
< 0.1%
1927 1
< 0.1%

2014-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct327
Distinct (%)13.2%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean83.661836
Minimum0
Maximum26257
Zeros899
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:43.499833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327
95-th percentile252.85
Maximum26257
Range26257
Interquartile range (IQR)27

Descriptive statistics

Standard deviation780.77414
Coefficient of variation (CV)9.3325007
Kurtosis876.98637
Mean83.661836
Median Absolute Deviation (MAD)3
Skewness27.979747
Sum207816
Variance609608.26
MonotonicityNot monotonic
2024-03-23T06:49:44.019418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
33.1%
1 180
 
6.6%
2 118
 
4.3%
3 87
 
3.2%
5 67
 
2.5%
4 61
 
2.2%
6 44
 
1.6%
7 38
 
1.4%
8 35
 
1.3%
10 28
 
1.0%
Other values (317) 927
34.1%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 899
33.1%
1 180
 
6.6%
2 118
 
4.3%
3 87
 
3.2%
4 61
 
2.2%
5 67
 
2.5%
6 44
 
1.6%
7 38
 
1.4%
8 35
 
1.3%
9 28
 
1.0%
ValueCountFrequency (%)
26257 1
< 0.1%
24100 1
< 0.1%
7675 1
< 0.1%
6879 1
< 0.1%
6713 1
< 0.1%
4111 1
< 0.1%
4061 1
< 0.1%
3137 1
< 0.1%
2262 1
< 0.1%
2066 1
< 0.1%

2014-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct327
Distinct (%)13.2%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean83.793076
Minimum0
Maximum26844
Zeros918
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:44.892109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile250.85
Maximum26844
Range26844
Interquartile range (IQR)28

Descriptive statistics

Standard deviation781.78569
Coefficient of variation (CV)9.3299558
Kurtosis900.7437
Mean83.793076
Median Absolute Deviation (MAD)3
Skewness28.360328
Sum208142
Variance611188.86
MonotonicityNot monotonic
2024-03-23T06:49:45.694654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918
33.8%
1 167
 
6.1%
2 106
 
3.9%
3 101
 
3.7%
4 67
 
2.5%
5 53
 
1.9%
6 45
 
1.7%
7 38
 
1.4%
9 32
 
1.2%
14 29
 
1.1%
Other values (317) 928
34.1%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 918
33.8%
1 167
 
6.1%
2 106
 
3.9%
3 101
 
3.7%
4 67
 
2.5%
5 53
 
1.9%
6 45
 
1.7%
7 38
 
1.4%
8 29
 
1.1%
9 32
 
1.2%
ValueCountFrequency (%)
26844 1
< 0.1%
23807 1
< 0.1%
7245 1
< 0.1%
6785 1
< 0.1%
6231 1
< 0.1%
4129 1
< 0.1%
3692 1
< 0.1%
2633 1
< 0.1%
2428 1
< 0.1%
2188 1
< 0.1%

2014-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct287
Distinct (%)11.6%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean67.179549
Minimum0
Maximum21195
Zeros913
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:46.253712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile205
Maximum21195
Range21195
Interquartile range (IQR)24

Descriptive statistics

Standard deviation614.81334
Coefficient of variation (CV)9.1517932
Kurtosis893.70279
Mean67.179549
Median Absolute Deviation (MAD)2
Skewness28.198571
Sum166874
Variance377995.44
MonotonicityNot monotonic
2024-03-23T06:49:47.078732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 913
33.6%
1 208
 
7.7%
2 123
 
4.5%
3 82
 
3.0%
5 68
 
2.5%
4 58
 
2.1%
7 45
 
1.7%
6 42
 
1.5%
11 30
 
1.1%
10 29
 
1.1%
Other values (277) 886
32.6%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 913
33.6%
1 208
 
7.7%
2 123
 
4.5%
3 82
 
3.0%
4 58
 
2.1%
5 68
 
2.5%
6 42
 
1.5%
7 45
 
1.7%
8 27
 
1.0%
9 27
 
1.0%
ValueCountFrequency (%)
21195 1
< 0.1%
18494 1
< 0.1%
5958 1
< 0.1%
5562 1
< 0.1%
4653 1
< 0.1%
3458 1
< 0.1%
2663 1
< 0.1%
2088 1
< 0.1%
1881 1
< 0.1%
1861 1
< 0.1%

2014-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct281
Distinct (%)11.3%
Missing234
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean63.099436
Minimum0
Maximum19315
Zeros946
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:47.668419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile181.85
Maximum19315
Range19315
Interquartile range (IQR)22

Descriptive statistics

Standard deviation575.85535
Coefficient of variation (CV)9.1261567
Kurtosis895.5763
Mean63.099436
Median Absolute Deviation (MAD)2
Skewness28.30111
Sum156739
Variance331609.38
MonotonicityNot monotonic
2024-03-23T06:49:48.274170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 946
34.8%
1 190
 
7.0%
2 124
 
4.6%
3 100
 
3.7%
4 64
 
2.4%
7 54
 
2.0%
5 48
 
1.8%
6 41
 
1.5%
8 33
 
1.2%
9 27
 
1.0%
Other values (271) 857
31.5%
(Missing) 234
 
8.6%
ValueCountFrequency (%)
0 946
34.8%
1 190
 
7.0%
2 124
 
4.6%
3 100
 
3.7%
4 64
 
2.4%
5 48
 
1.8%
6 41
 
1.5%
7 54
 
2.0%
8 33
 
1.2%
9 27
 
1.0%
ValueCountFrequency (%)
19315 1
< 0.1%
18088 1
< 0.1%
5534 1
< 0.1%
4795 1
< 0.1%
3997 1
< 0.1%
3365 1
< 0.1%
2168 1
< 0.1%
1837 1
< 0.1%
1705 1
< 0.1%
1684 1
< 0.1%

2014-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct283
Distinct (%)11.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean68.053349
Minimum0
Maximum21750
Zeros934
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:48.764165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile201
Maximum21750
Range21750
Interquartile range (IQR)25

Descriptive statistics

Standard deviation622.71246
Coefficient of variation (CV)9.1503573
Kurtosis917.18559
Mean68.053349
Median Absolute Deviation (MAD)3
Skewness28.584112
Sum169657
Variance387770.81
MonotonicityNot monotonic
2024-03-23T06:49:49.397573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 934
34.4%
1 174
 
6.4%
2 125
 
4.6%
3 95
 
3.5%
4 62
 
2.3%
6 58
 
2.1%
5 54
 
2.0%
8 39
 
1.4%
7 38
 
1.4%
10 30
 
1.1%
Other values (273) 884
32.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 934
34.4%
1 174
 
6.4%
2 125
 
4.6%
3 95
 
3.5%
4 62
 
2.3%
5 54
 
2.0%
6 58
 
2.1%
7 38
 
1.4%
8 39
 
1.4%
9 26
 
1.0%
ValueCountFrequency (%)
21750 1
< 0.1%
18699 1
< 0.1%
5804 1
< 0.1%
5369 1
< 0.1%
4395 1
< 0.1%
3644 1
< 0.1%
2603 1
< 0.1%
1898 1
< 0.1%
1816 1
< 0.1%
1716 1
< 0.1%

2014-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)11.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean69.8215
Minimum0
Maximum21583
Zeros949
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:50.084690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile214.6
Maximum21583
Range21583
Interquartile range (IQR)24

Descriptive statistics

Standard deviation637.28999
Coefficient of variation (CV)9.1274176
Kurtosis882.28121
Mean69.8215
Median Absolute Deviation (MAD)2
Skewness28.022786
Sum174065
Variance406138.53
MonotonicityNot monotonic
2024-03-23T06:49:50.554832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 949
34.9%
1 185
 
6.8%
2 127
 
4.7%
3 92
 
3.4%
4 69
 
2.5%
5 58
 
2.1%
6 48
 
1.8%
11 34
 
1.3%
8 34
 
1.3%
7 33
 
1.2%
Other values (284) 864
31.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 949
34.9%
1 185
 
6.8%
2 127
 
4.7%
3 92
 
3.4%
4 69
 
2.5%
5 58
 
2.1%
6 48
 
1.8%
7 33
 
1.2%
8 34
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
21583 1
< 0.1%
19600 1
< 0.1%
6037 1
< 0.1%
5864 1
< 0.1%
4963 1
< 0.1%
4006 1
< 0.1%
2866 1
< 0.1%
2139 1
< 0.1%
1765 1
< 0.1%
1720 1
< 0.1%

2014-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct308
Distinct (%)12.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean80.559968
Minimum0
Maximum25066
Zeros924
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:51.045613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327
95-th percentile248
Maximum25066
Range25066
Interquartile range (IQR)27

Descriptive statistics

Standard deviation746.89865
Coefficient of variation (CV)9.2713375
Kurtosis867.6648
Mean80.559968
Median Absolute Deviation (MAD)3
Skewness27.783307
Sum200836
Variance557857.59
MonotonicityNot monotonic
2024-03-23T06:49:51.597066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 924
34.0%
1 184
 
6.8%
2 118
 
4.3%
3 75
 
2.8%
4 74
 
2.7%
5 61
 
2.2%
6 49
 
1.8%
8 45
 
1.7%
7 43
 
1.6%
11 32
 
1.2%
Other values (298) 888
32.7%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 924
34.0%
1 184
 
6.8%
2 118
 
4.3%
3 75
 
2.8%
4 74
 
2.7%
5 61
 
2.2%
6 49
 
1.8%
7 43
 
1.6%
8 45
 
1.7%
9 22
 
0.8%
ValueCountFrequency (%)
25066 1
< 0.1%
23013 1
< 0.1%
7440 1
< 0.1%
6996 1
< 0.1%
6328 1
< 0.1%
3849 1
< 0.1%
3827 1
< 0.1%
2908 1
< 0.1%
2402 1
< 0.1%
2214 1
< 0.1%

2014-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct351
Distinct (%)14.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean102.02166
Minimum0
Maximum31695
Zeros856
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:52.005854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q333
95-th percentile307.8
Maximum31695
Range31695
Interquartile range (IQR)33

Descriptive statistics

Standard deviation940.88592
Coefficient of variation (CV)9.2224133
Kurtosis861.85784
Mean102.02166
Median Absolute Deviation (MAD)4
Skewness27.662626
Sum254340
Variance885266.31
MonotonicityNot monotonic
2024-03-23T06:49:52.607404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 856
31.5%
1 200
 
7.4%
2 117
 
4.3%
4 74
 
2.7%
3 64
 
2.4%
5 57
 
2.1%
6 52
 
1.9%
8 44
 
1.6%
7 38
 
1.4%
9 29
 
1.1%
Other values (341) 962
35.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 856
31.5%
1 200
 
7.4%
2 117
 
4.3%
3 64
 
2.4%
4 74
 
2.7%
5 57
 
2.1%
6 52
 
1.9%
7 38
 
1.4%
8 44
 
1.6%
9 29
 
1.1%
ValueCountFrequency (%)
31695 1
< 0.1%
28700 1
< 0.1%
9388 1
< 0.1%
9301 1
< 0.1%
8027 1
< 0.1%
4776 1
< 0.1%
4639 1
< 0.1%
3451 1
< 0.1%
3309 1
< 0.1%
3010 1
< 0.1%

2014-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct317
Distinct (%)12.7%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean83.33935
Minimum0
Maximum27164
Zeros903
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:53.051970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329
95-th percentile243.4
Maximum27164
Range27164
Interquartile range (IQR)29

Descriptive statistics

Standard deviation773.85105
Coefficient of variation (CV)9.2855422
Kurtosis903.48091
Mean83.33935
Median Absolute Deviation (MAD)3
Skewness28.31238
Sum207765
Variance598845.45
MonotonicityNot monotonic
2024-03-23T06:49:53.559807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 903
33.2%
1 184
 
6.8%
2 118
 
4.3%
3 78
 
2.9%
4 63
 
2.3%
5 61
 
2.2%
7 49
 
1.8%
6 40
 
1.5%
8 31
 
1.1%
9 31
 
1.1%
Other values (307) 935
34.4%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 903
33.2%
1 184
 
6.8%
2 118
 
4.3%
3 78
 
2.9%
4 63
 
2.3%
5 61
 
2.2%
6 40
 
1.5%
7 49
 
1.8%
8 31
 
1.1%
9 31
 
1.1%
ValueCountFrequency (%)
27164 1
< 0.1%
22718 1
< 0.1%
7592 1
< 0.1%
7480 1
< 0.1%
5920 1
< 0.1%
3781 1
< 0.1%
3665 1
< 0.1%
2632 1
< 0.1%
2472 1
< 0.1%
2092 1
< 0.1%

2014-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct308
Distinct (%)12.4%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean83.851584
Minimum0
Maximum26167
Zeros912
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:54.047958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile227.8
Maximum26167
Range26167
Interquartile range (IQR)26

Descriptive statistics

Standard deviation789.08499
Coefficient of variation (CV)9.4104959
Kurtosis906.77953
Mean83.851584
Median Absolute Deviation (MAD)3
Skewness28.465839
Sum209042
Variance622655.12
MonotonicityNot monotonic
2024-03-23T06:49:54.603587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 912
33.6%
1 165
 
6.1%
2 112
 
4.1%
3 95
 
3.5%
4 86
 
3.2%
5 58
 
2.1%
6 42
 
1.5%
8 42
 
1.5%
7 42
 
1.5%
10 29
 
1.1%
Other values (298) 910
33.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 912
33.6%
1 165
 
6.1%
2 112
 
4.1%
3 95
 
3.5%
4 86
 
3.2%
5 58
 
2.1%
6 42
 
1.5%
7 42
 
1.5%
8 42
 
1.5%
9 23
 
0.8%
ValueCountFrequency (%)
26167 1
< 0.1%
25377 1
< 0.1%
6920 1
< 0.1%
6264 1
< 0.1%
4794 1
< 0.1%
3547 1
< 0.1%
3364 1
< 0.1%
2915 1
< 0.1%
2796 1
< 0.1%
2603 1
< 0.1%

2015-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct302
Distinct (%)12.1%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean73.52507
Minimum0
Maximum23537
Zeros913
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:55.324469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile211.8
Maximum23537
Range23537
Interquartile range (IQR)24

Descriptive statistics

Standard deviation694.33669
Coefficient of variation (CV)9.4435366
Kurtosis899.96829
Mean73.52507
Median Absolute Deviation (MAD)2
Skewness28.349475
Sum183298
Variance482103.44
MonotonicityNot monotonic
2024-03-23T06:49:55.981302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 913
33.6%
1 202
 
7.4%
2 143
 
5.3%
3 84
 
3.1%
4 55
 
2.0%
5 53
 
1.9%
6 47
 
1.7%
7 45
 
1.7%
9 30
 
1.1%
8 30
 
1.1%
Other values (292) 891
32.8%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 913
33.6%
1 202
 
7.4%
2 143
 
5.3%
3 84
 
3.1%
4 55
 
2.0%
5 53
 
1.9%
6 47
 
1.7%
7 45
 
1.7%
8 30
 
1.1%
9 30
 
1.1%
ValueCountFrequency (%)
23537 1
< 0.1%
21605 1
< 0.1%
6494 1
< 0.1%
5705 1
< 0.1%
4903 1
< 0.1%
3583 1
< 0.1%
3545 1
< 0.1%
2887 1
< 0.1%
2493 1
< 0.1%
2255 1
< 0.1%

2015-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct303
Distinct (%)12.2%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean74.355796
Minimum0
Maximum24406
Zeros942
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:56.459098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile222.4
Maximum24406
Range24406
Interquartile range (IQR)25

Descriptive statistics

Standard deviation698.45434
Coefficient of variation (CV)9.3934082
Kurtosis908.32384
Mean74.355796
Median Absolute Deviation (MAD)3
Skewness28.432079
Sum185369
Variance487838.47
MonotonicityNot monotonic
2024-03-23T06:49:57.109115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
34.7%
1 167
 
6.1%
2 116
 
4.3%
3 105
 
3.9%
4 72
 
2.6%
5 55
 
2.0%
6 47
 
1.7%
7 41
 
1.5%
8 34
 
1.3%
12 31
 
1.1%
Other values (293) 883
32.5%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 942
34.7%
1 167
 
6.1%
2 116
 
4.3%
3 105
 
3.9%
4 72
 
2.6%
5 55
 
2.0%
6 47
 
1.7%
7 41
 
1.5%
8 34
 
1.3%
9 28
 
1.0%
ValueCountFrequency (%)
24406 1
< 0.1%
20788 1
< 0.1%
6845 1
< 0.1%
5962 1
< 0.1%
5377 1
< 0.1%
3880 1
< 0.1%
3590 1
< 0.1%
2983 1
< 0.1%
2025 1
< 0.1%
1738 1
< 0.1%

2015-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct344
Distinct (%)13.8%
Missing225
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean101.79262
Minimum0
Maximum33164
Zeros886
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:57.679825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q333
95-th percentile308.4
Maximum33164
Range33164
Interquartile range (IQR)33

Descriptive statistics

Standard deviation967.03075
Coefficient of variation (CV)9.5000085
Kurtosis891.18567
Mean101.79262
Median Absolute Deviation (MAD)3
Skewness28.187298
Sum253769
Variance935148.48
MonotonicityNot monotonic
2024-03-23T06:49:58.320832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 886
32.6%
1 178
 
6.5%
2 102
 
3.8%
3 90
 
3.3%
4 70
 
2.6%
5 45
 
1.7%
8 39
 
1.4%
14 35
 
1.3%
7 34
 
1.3%
9 33
 
1.2%
Other values (334) 981
36.1%
(Missing) 225
 
8.3%
ValueCountFrequency (%)
0 886
32.6%
1 178
 
6.5%
2 102
 
3.8%
3 90
 
3.3%
4 70
 
2.6%
5 45
 
1.7%
6 32
 
1.2%
7 34
 
1.3%
8 39
 
1.4%
9 33
 
1.2%
ValueCountFrequency (%)
33164 1
< 0.1%
29342 1
< 0.1%
9630 1
< 0.1%
7981 1
< 0.1%
7939 1
< 0.1%
5941 1
< 0.1%
4855 1
< 0.1%
4399 1
< 0.1%
2653 1
< 0.1%
2590 1
< 0.1%

2015-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct356
Distinct (%)14.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean106.78537
Minimum0
Maximum35147
Zeros878
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:58.941959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q334
95-th percentile319.9
Maximum35147
Range35147
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1021.2584
Coefficient of variation (CV)9.5636548
Kurtosis890.04915
Mean106.78537
Median Absolute Deviation (MAD)4
Skewness28.155321
Sum267177
Variance1042968.8
MonotonicityNot monotonic
2024-03-23T06:49:59.426965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 878
32.3%
1 146
 
5.4%
2 119
 
4.4%
3 87
 
3.2%
4 68
 
2.5%
5 54
 
2.0%
7 46
 
1.7%
6 45
 
1.7%
8 42
 
1.5%
11 30
 
1.1%
Other values (346) 987
36.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 878
32.3%
1 146
 
5.4%
2 119
 
4.4%
3 87
 
3.2%
4 68
 
2.5%
5 54
 
2.0%
6 45
 
1.7%
7 46
 
1.7%
8 42
 
1.5%
9 27
 
1.0%
ValueCountFrequency (%)
35147 1
< 0.1%
30835 1
< 0.1%
10638 1
< 0.1%
8457 1
< 0.1%
8404 1
< 0.1%
6374 1
< 0.1%
4941 1
< 0.1%
4587 1
< 0.1%
2943 1
< 0.1%
2793 1
< 0.1%

2015-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct336
Distinct (%)13.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean95.05036
Minimum0
Maximum31203
Zeros843
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:49:59.934109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q330
95-th percentile281.8
Maximum31203
Range31203
Interquartile range (IQR)30

Descriptive statistics

Standard deviation900.22585
Coefficient of variation (CV)9.471041
Kurtosis888.93029
Mean95.05036
Median Absolute Deviation (MAD)4
Skewness28.089794
Sum237816
Variance810406.58
MonotonicityNot monotonic
2024-03-23T06:50:00.528564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 843
31.0%
1 197
 
7.2%
2 118
 
4.3%
3 90
 
3.3%
4 65
 
2.4%
5 54
 
2.0%
8 50
 
1.8%
6 48
 
1.8%
7 41
 
1.5%
10 39
 
1.4%
Other values (326) 957
35.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 843
31.0%
1 197
 
7.2%
2 118
 
4.3%
3 90
 
3.3%
4 65
 
2.4%
5 54
 
2.0%
6 48
 
1.8%
7 41
 
1.5%
8 50
 
1.8%
9 26
 
1.0%
ValueCountFrequency (%)
31203 1
< 0.1%
26818 1
< 0.1%
9127 1
< 0.1%
8174 1
< 0.1%
7224 1
< 0.1%
5592 1
< 0.1%
4112 1
< 0.1%
4002 1
< 0.1%
2903 1
< 0.1%
2730 1
< 0.1%

2015-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)13.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean92.304556
Minimum0
Maximum29665
Zeros877
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:01.210701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329
95-th percentile278.85
Maximum29665
Range29665
Interquartile range (IQR)29

Descriptive statistics

Standard deviation868.61393
Coefficient of variation (CV)9.4103039
Kurtosis885.52286
Mean92.304556
Median Absolute Deviation (MAD)3
Skewness28.07179
Sum230946
Variance754490.16
MonotonicityNot monotonic
2024-03-23T06:50:02.935880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 877
32.3%
1 177
 
6.5%
2 123
 
4.5%
3 91
 
3.3%
5 65
 
2.4%
4 55
 
2.0%
7 47
 
1.7%
6 43
 
1.6%
10 33
 
1.2%
8 32
 
1.2%
Other values (332) 959
35.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 877
32.3%
1 177
 
6.5%
2 123
 
4.5%
3 91
 
3.3%
4 55
 
2.0%
5 65
 
2.4%
6 43
 
1.6%
7 47
 
1.7%
8 32
 
1.2%
9 32
 
1.2%
ValueCountFrequency (%)
29665 1
< 0.1%
26483 1
< 0.1%
8397 1
< 0.1%
7780 1
< 0.1%
7136 1
< 0.1%
5150 1
< 0.1%
4419 1
< 0.1%
3638 1
< 0.1%
2833 1
< 0.1%
2744 1
< 0.1%

2015-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct338
Distinct (%)13.4%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean94.058521
Minimum0
Maximum29822
Zeros883
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:03.844180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329
95-th percentile282
Maximum29822
Range29822
Interquartile range (IQR)29

Descriptive statistics

Standard deviation888.58766
Coefficient of variation (CV)9.4471788
Kurtosis891.37857
Mean94.058521
Median Absolute Deviation (MAD)4
Skewness28.193103
Sum237874
Variance789588.04
MonotonicityNot monotonic
2024-03-23T06:50:04.482257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 883
32.5%
1 160
 
5.9%
2 121
 
4.5%
3 87
 
3.2%
4 73
 
2.7%
6 61
 
2.2%
5 59
 
2.2%
7 52
 
1.9%
9 37
 
1.4%
11 35
 
1.3%
Other values (328) 961
35.4%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 883
32.5%
1 160
 
5.9%
2 121
 
4.5%
3 87
 
3.2%
4 73
 
2.7%
5 59
 
2.2%
6 61
 
2.2%
7 52
 
1.9%
8 32
 
1.2%
9 37
 
1.4%
ValueCountFrequency (%)
29822 1
< 0.1%
28071 1
< 0.1%
8444 1
< 0.1%
8128 1
< 0.1%
6877 1
< 0.1%
5400 1
< 0.1%
3997 1
< 0.1%
3971 1
< 0.1%
2825 1
< 0.1%
2702 1
< 0.1%

2015-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct310
Distinct (%)12.3%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean79.086595
Minimum0
Maximum25412
Zeros907
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:04.912269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile232.2
Maximum25412
Range25412
Interquartile range (IQR)26

Descriptive statistics

Standard deviation749.67574
Coefficient of variation (CV)9.4791758
Kurtosis879.74291
Mean79.086595
Median Absolute Deviation (MAD)3
Skewness27.971958
Sum200010
Variance562013.72
MonotonicityNot monotonic
2024-03-23T06:50:05.379658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 907
33.4%
1 182
 
6.7%
2 117
 
4.3%
4 93
 
3.4%
3 86
 
3.2%
6 58
 
2.1%
5 52
 
1.9%
7 52
 
1.9%
8 39
 
1.4%
10 36
 
1.3%
Other values (300) 907
33.4%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 907
33.4%
1 182
 
6.7%
2 117
 
4.3%
3 86
 
3.2%
4 93
 
3.4%
5 52
 
1.9%
6 58
 
2.1%
7 52
 
1.9%
8 39
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
25412 1
< 0.1%
23157 1
< 0.1%
7589 1
< 0.1%
7082 1
< 0.1%
6019 1
< 0.1%
4811 1
< 0.1%
3609 1
< 0.1%
3246 1
< 0.1%
2274 1
< 0.1%
2244 1
< 0.1%

2015-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct293
Distinct (%)11.6%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean71.582048
Minimum0
Maximum22818
Zeros941
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:05.963667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile213
Maximum22818
Range22818
Interquartile range (IQR)23

Descriptive statistics

Standard deviation674.86203
Coefficient of variation (CV)9.4278112
Kurtosis886.9009
Mean71.582048
Median Absolute Deviation (MAD)3
Skewness28.117239
Sum181031
Variance455438.76
MonotonicityNot monotonic
2024-03-23T06:50:06.528550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 941
34.6%
1 180
 
6.6%
2 118
 
4.3%
3 96
 
3.5%
4 77
 
2.8%
6 55
 
2.0%
5 54
 
2.0%
9 40
 
1.5%
7 40
 
1.5%
8 39
 
1.4%
Other values (283) 889
32.7%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 941
34.6%
1 180
 
6.6%
2 118
 
4.3%
3 96
 
3.5%
4 77
 
2.8%
5 54
 
2.0%
6 55
 
2.0%
7 40
 
1.5%
8 39
 
1.4%
9 40
 
1.5%
ValueCountFrequency (%)
22818 1
< 0.1%
21034 1
< 0.1%
6816 1
< 0.1%
6117 1
< 0.1%
5412 1
< 0.1%
4074 1
< 0.1%
3497 1
< 0.1%
2916 1
< 0.1%
2042 1
< 0.1%
1929 1
< 0.1%

2015-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct334
Distinct (%)13.2%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean89.003954
Minimum0
Maximum28767
Zeros909
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:07.047899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q331
95-th percentile267.2
Maximum28767
Range28767
Interquartile range (IQR)31

Descriptive statistics

Standard deviation834.12036
Coefficient of variation (CV)9.3717226
Kurtosis893.70883
Mean89.003954
Median Absolute Deviation (MAD)3
Skewness28.181302
Sum225091
Variance695756.78
MonotonicityNot monotonic
2024-03-23T06:50:07.672432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 909
33.4%
1 165
 
6.1%
2 116
 
4.3%
3 76
 
2.8%
4 72
 
2.6%
5 65
 
2.4%
6 43
 
1.6%
7 41
 
1.5%
12 38
 
1.4%
8 31
 
1.1%
Other values (324) 973
35.8%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 909
33.4%
1 165
 
6.1%
2 116
 
4.3%
3 76
 
2.8%
4 72
 
2.6%
5 65
 
2.4%
6 43
 
1.6%
7 41
 
1.5%
8 31
 
1.1%
9 30
 
1.1%
ValueCountFrequency (%)
28767 1
< 0.1%
25353 1
< 0.1%
8235 1
< 0.1%
7734 1
< 0.1%
6749 1
< 0.1%
5061 1
< 0.1%
4114 1
< 0.1%
3543 1
< 0.1%
2705 1
< 0.1%
2545 1
< 0.1%

2015-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct324
Distinct (%)12.8%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean82.05773
Minimum0
Maximum27067
Zeros918
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:08.213087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile246.6
Maximum27067
Range27067
Interquartile range (IQR)28

Descriptive statistics

Standard deviation773.1351
Coefficient of variation (CV)9.4218436
Kurtosis918.8952
Mean82.05773
Median Absolute Deviation (MAD)3
Skewness28.601217
Sum207524
Variance597737.89
MonotonicityNot monotonic
2024-03-23T06:50:08.787874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918
33.8%
1 169
 
6.2%
2 116
 
4.3%
3 97
 
3.6%
6 55
 
2.0%
4 55
 
2.0%
5 53
 
1.9%
8 40
 
1.5%
7 37
 
1.4%
9 33
 
1.2%
Other values (314) 956
35.2%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 918
33.8%
1 169
 
6.2%
2 116
 
4.3%
3 97
 
3.6%
4 55
 
2.0%
5 53
 
1.9%
6 55
 
2.0%
7 37
 
1.4%
8 40
 
1.5%
9 33
 
1.2%
ValueCountFrequency (%)
27067 1
< 0.1%
23362 1
< 0.1%
7328 1
< 0.1%
6942 1
< 0.1%
5669 1
< 0.1%
4460 1
< 0.1%
3856 1
< 0.1%
3041 1
< 0.1%
2694 1
< 0.1%
2220 1
< 0.1%

2015-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct293
Distinct (%)11.6%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean70.774614
Minimum0
Maximum23122
Zeros896
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:09.347986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile220
Maximum23122
Range23122
Interquartile range (IQR)26

Descriptive statistics

Standard deviation652.70369
Coefficient of variation (CV)9.2222854
Kurtosis914.82316
Mean70.774614
Median Absolute Deviation (MAD)3
Skewness28.452511
Sum178989
Variance426022.11
MonotonicityNot monotonic
2024-03-23T06:50:09.898903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 896
33.0%
1 188
 
6.9%
2 122
 
4.5%
3 100
 
3.7%
4 85
 
3.1%
5 59
 
2.2%
11 42
 
1.5%
7 41
 
1.5%
8 41
 
1.5%
6 40
 
1.5%
Other values (283) 915
33.7%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 896
33.0%
1 188
 
6.9%
2 122
 
4.5%
3 100
 
3.7%
4 85
 
3.1%
5 59
 
2.2%
6 40
 
1.5%
7 41
 
1.5%
8 41
 
1.5%
9 22
 
0.8%
ValueCountFrequency (%)
23122 1
< 0.1%
19194 1
< 0.1%
6764 1
< 0.1%
6043 1
< 0.1%
4455 1
< 0.1%
3627 1
< 0.1%
3354 1
< 0.1%
2391 1
< 0.1%
2332 1
< 0.1%
2105 1
< 0.1%

2016-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct243
Distinct (%)9.6%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean50.254646
Minimum0
Maximum15856
Zeros977
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:10.550123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318
95-th percentile151
Maximum15856
Range15856
Interquartile range (IQR)18

Descriptive statistics

Standard deviation463.70172
Coefficient of variation (CV)9.2270418
Kurtosis905.36775
Mean50.254646
Median Absolute Deviation (MAD)2
Skewness28.422736
Sum127094
Variance215019.28
MonotonicityNot monotonic
2024-03-23T06:50:11.152870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
35.9%
1 193
 
7.1%
2 124
 
4.6%
3 86
 
3.2%
6 74
 
2.7%
4 70
 
2.6%
5 60
 
2.2%
9 47
 
1.7%
7 38
 
1.4%
8 38
 
1.4%
Other values (233) 822
30.2%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 977
35.9%
1 193
 
7.1%
2 124
 
4.6%
3 86
 
3.2%
4 70
 
2.6%
5 60
 
2.2%
6 74
 
2.7%
7 38
 
1.4%
8 38
 
1.4%
9 47
 
1.7%
ValueCountFrequency (%)
15856 1
< 0.1%
14418 1
< 0.1%
4467 1
< 0.1%
4195 1
< 0.1%
3321 1
< 0.1%
2710 1
< 0.1%
2362 1
< 0.1%
1580 1
< 0.1%
1539 1
< 0.1%
1391 1
< 0.1%

2016-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct240
Distinct (%)9.5%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean48.541321
Minimum0
Maximum15625
Zeros986
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:12.265470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile142.6
Maximum15625
Range15625
Interquartile range (IQR)19

Descriptive statistics

Standard deviation454.4208
Coefficient of variation (CV)9.3615253
Kurtosis930.77991
Mean48.541321
Median Absolute Deviation (MAD)2
Skewness28.902183
Sum122761
Variance206498.27
MonotonicityNot monotonic
2024-03-23T06:50:12.999167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 986
36.3%
1 194
 
7.1%
2 131
 
4.8%
3 95
 
3.5%
4 65
 
2.4%
6 56
 
2.1%
5 52
 
1.9%
7 51
 
1.9%
8 39
 
1.4%
10 32
 
1.2%
Other values (230) 828
30.5%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 986
36.3%
1 194
 
7.1%
2 131
 
4.8%
3 95
 
3.5%
4 65
 
2.4%
5 52
 
1.9%
6 56
 
2.1%
7 51
 
1.9%
8 39
 
1.4%
9 27
 
1.0%
ValueCountFrequency (%)
15625 1
< 0.1%
14270 1
< 0.1%
4023 1
< 0.1%
3780 1
< 0.1%
3434 1
< 0.1%
2481 1
< 0.1%
2147 1
< 0.1%
1644 1
< 0.1%
1343 1
< 0.1%
1255 1
< 0.1%

2016-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct273
Distinct (%)10.8%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean62.077896
Minimum0
Maximum19619
Zeros912
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:13.464131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile185.6
Maximum19619
Range19619
Interquartile range (IQR)23

Descriptive statistics

Standard deviation585.12365
Coefficient of variation (CV)9.4256359
Kurtosis919.13865
Mean62.077896
Median Absolute Deviation (MAD)3
Skewness28.719362
Sum156995
Variance342369.69
MonotonicityNot monotonic
2024-03-23T06:50:14.117880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 912
33.6%
1 202
 
7.4%
2 129
 
4.7%
3 85
 
3.1%
6 63
 
2.3%
4 59
 
2.2%
5 57
 
2.1%
7 53
 
1.9%
8 42
 
1.5%
10 39
 
1.4%
Other values (263) 888
32.7%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 912
33.6%
1 202
 
7.4%
2 129
 
4.7%
3 85
 
3.1%
4 59
 
2.2%
5 57
 
2.1%
6 63
 
2.3%
7 53
 
1.9%
8 42
 
1.5%
9 33
 
1.2%
ValueCountFrequency (%)
19619 1
< 0.1%
18848 1
< 0.1%
5084 1
< 0.1%
4810 1
< 0.1%
4287 1
< 0.1%
3722 1
< 0.1%
2946 1
< 0.1%
2380 1
< 0.1%
1640 1
< 0.1%
1567 1
< 0.1%

2016-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct285
Distinct (%)11.3%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean69.201661
Minimum0
Maximum22064
Zeros914
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:14.807263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile206.6
Maximum22064
Range22064
Interquartile range (IQR)23

Descriptive statistics

Standard deviation662.34881
Coefficient of variation (CV)9.5712849
Kurtosis927.97176
Mean69.201661
Median Absolute Deviation (MAD)3
Skewness28.885245
Sum175011
Variance438705.95
MonotonicityNot monotonic
2024-03-23T06:50:15.486107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 914
33.6%
1 214
 
7.9%
2 113
 
4.2%
3 96
 
3.5%
4 70
 
2.6%
5 63
 
2.3%
7 58
 
2.1%
6 41
 
1.5%
9 40
 
1.5%
8 39
 
1.4%
Other values (275) 881
32.4%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 914
33.6%
1 214
 
7.9%
2 113
 
4.2%
3 96
 
3.5%
4 70
 
2.6%
5 63
 
2.3%
6 41
 
1.5%
7 58
 
2.1%
8 39
 
1.4%
9 40
 
1.5%
ValueCountFrequency (%)
22064 1
< 0.1%
21610 1
< 0.1%
5511 1
< 0.1%
5201 1
< 0.1%
4804 1
< 0.1%
3825 1
< 0.1%
3599 1
< 0.1%
2858 1
< 0.1%
2026 1
< 0.1%
1917 1
< 0.1%

2016-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct286
Distinct (%)11.3%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean71.259391
Minimum0
Maximum22858
Zeros959
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:16.486882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile212
Maximum22858
Range22858
Interquartile range (IQR)23

Descriptive statistics

Standard deviation683.17764
Coefficient of variation (CV)9.5871945
Kurtosis890.69332
Mean71.259391
Median Absolute Deviation (MAD)3
Skewness28.202812
Sum180215
Variance466731.69
MonotonicityNot monotonic
2024-03-23T06:50:17.219360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 959
35.3%
1 168
 
6.2%
2 124
 
4.6%
3 102
 
3.8%
5 76
 
2.8%
4 63
 
2.3%
6 55
 
2.0%
9 44
 
1.6%
7 43
 
1.6%
8 38
 
1.4%
Other values (276) 857
31.5%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 959
35.3%
1 168
 
6.2%
2 124
 
4.6%
3 102
 
3.8%
4 63
 
2.3%
5 76
 
2.8%
6 55
 
2.0%
7 43
 
1.6%
8 38
 
1.4%
9 44
 
1.6%
ValueCountFrequency (%)
22858 1
< 0.1%
21652 1
< 0.1%
6646 1
< 0.1%
5765 1
< 0.1%
5474 1
< 0.1%
4478 1
< 0.1%
3578 1
< 0.1%
3387 1
< 0.1%
1937 1
< 0.1%
1880 1
< 0.1%

2016-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct298
Distinct (%)11.8%
Missing189
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean75.196916
Minimum0
Maximum23663
Zeros908
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:17.988818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile237.2
Maximum23663
Range23663
Interquartile range (IQR)24

Descriptive statistics

Standard deviation717.02021
Coefficient of variation (CV)9.5352343
Kurtosis865.86581
Mean75.196916
Median Absolute Deviation (MAD)3
Skewness27.758617
Sum190173
Variance514117.98
MonotonicityNot monotonic
2024-03-23T06:50:18.625336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 908
33.4%
1 189
 
7.0%
2 128
 
4.7%
3 94
 
3.5%
4 66
 
2.4%
5 54
 
2.0%
6 54
 
2.0%
9 48
 
1.8%
7 46
 
1.7%
8 33
 
1.2%
Other values (288) 909
33.4%
(Missing) 189
 
7.0%
ValueCountFrequency (%)
0 908
33.4%
1 189
 
7.0%
2 128
 
4.7%
3 94
 
3.5%
4 66
 
2.4%
5 54
 
2.0%
6 54
 
2.0%
7 46
 
1.7%
8 33
 
1.2%
9 48
 
1.8%
ValueCountFrequency (%)
23663 1
< 0.1%
22722 1
< 0.1%
7063 1
< 0.1%
6830 1
< 0.1%
5717 1
< 0.1%
5053 1
< 0.1%
4036 1
< 0.1%
3760 1
< 0.1%
2126 1
< 0.1%
1855 1
< 0.1%

2016-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct318
Distinct (%)12.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean81.278577
Minimum0
Maximum25793
Zeros936
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:19.333185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile248
Maximum25793
Range25793
Interquartile range (IQR)24

Descriptive statistics

Standard deviation773.17057
Coefficient of variation (CV)9.5125997
Kurtosis842.5966
Mean81.278577
Median Absolute Deviation (MAD)3
Skewness27.303848
Sum203359
Variance597792.72
MonotonicityNot monotonic
2024-03-23T06:50:19.871136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 936
34.4%
1 175
 
6.4%
2 136
 
5.0%
3 84
 
3.1%
4 67
 
2.5%
6 58
 
2.1%
5 57
 
2.1%
7 41
 
1.5%
8 33
 
1.2%
11 32
 
1.2%
Other values (308) 883
32.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 936
34.4%
1 175
 
6.4%
2 136
 
5.0%
3 84
 
3.1%
4 67
 
2.5%
5 57
 
2.1%
6 58
 
2.1%
7 41
 
1.5%
8 33
 
1.2%
9 32
 
1.2%
ValueCountFrequency (%)
25793 1
< 0.1%
23623 1
< 0.1%
7771 1
< 0.1%
6996 1
< 0.1%
6966 1
< 0.1%
5888 1
< 0.1%
4169 1
< 0.1%
3780 1
< 0.1%
2202 1
< 0.1%
2189 2
0.1%

2016-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct311
Distinct (%)12.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean82.110312
Minimum0
Maximum26982
Zeros931
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:20.539608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile254
Maximum26982
Range26982
Interquartile range (IQR)24

Descriptive statistics

Standard deviation789.52818
Coefficient of variation (CV)9.6154571
Kurtosis867.56718
Mean82.110312
Median Absolute Deviation (MAD)3
Skewness27.737859
Sum205440
Variance623354.75
MonotonicityNot monotonic
2024-03-23T06:50:21.527144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
34.3%
1 166
 
6.1%
2 138
 
5.1%
4 77
 
2.8%
3 75
 
2.8%
5 55
 
2.0%
7 52
 
1.9%
6 46
 
1.7%
9 36
 
1.3%
8 28
 
1.0%
Other values (301) 898
33.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 931
34.3%
1 166
 
6.1%
2 138
 
5.1%
3 75
 
2.8%
4 77
 
2.8%
5 55
 
2.0%
6 46
 
1.7%
7 52
 
1.9%
8 28
 
1.0%
9 36
 
1.3%
ValueCountFrequency (%)
26982 1
< 0.1%
23685 1
< 0.1%
8207 1
< 0.1%
6843 1
< 0.1%
6819 1
< 0.1%
5803 1
< 0.1%
3782 1
< 0.1%
3689 1
< 0.1%
2417 1
< 0.1%
2288 1
< 0.1%

2016-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct308
Distinct (%)12.3%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean78.471623
Minimum0
Maximum25452
Zeros935
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:22.092897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile237.9
Maximum25452
Range25452
Interquartile range (IQR)24

Descriptive statistics

Standard deviation747.89652
Coefficient of variation (CV)9.5307895
Kurtosis866.19773
Mean78.471623
Median Absolute Deviation (MAD)3
Skewness27.715891
Sum196336
Variance559349.2
MonotonicityNot monotonic
2024-03-23T06:50:22.549008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 935
34.4%
1 183
 
6.7%
2 125
 
4.6%
3 81
 
3.0%
4 73
 
2.7%
5 62
 
2.3%
6 57
 
2.1%
7 46
 
1.7%
12 33
 
1.2%
10 32
 
1.2%
Other values (298) 875
32.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 935
34.4%
1 183
 
6.7%
2 125
 
4.6%
3 81
 
3.0%
4 73
 
2.7%
5 62
 
2.3%
6 57
 
2.1%
7 46
 
1.7%
8 23
 
0.8%
9 31
 
1.1%
ValueCountFrequency (%)
25452 1
< 0.1%
22573 1
< 0.1%
7817 1
< 0.1%
6722 1
< 0.1%
6252 1
< 0.1%
5035 1
< 0.1%
3684 1
< 0.1%
3282 1
< 0.1%
2401 1
< 0.1%
2276 1
< 0.1%

2016-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct341
Distinct (%)13.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean94.594325
Minimum0
Maximum31513
Zeros900
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:22.962074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile298
Maximum31513
Range31513
Interquartile range (IQR)28

Descriptive statistics

Standard deviation899.41076
Coefficient of variation (CV)9.5080838
Kurtosis887.4791
Mean94.594325
Median Absolute Deviation (MAD)3
Skewness28.000587
Sum236675
Variance808939.72
MonotonicityNot monotonic
2024-03-23T06:50:23.399675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
33.1%
1 169
 
6.2%
2 122
 
4.5%
4 91
 
3.3%
3 83
 
3.1%
5 50
 
1.8%
6 50
 
1.8%
7 35
 
1.3%
8 34
 
1.3%
18 29
 
1.1%
Other values (331) 939
34.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 900
33.1%
1 169
 
6.2%
2 122
 
4.5%
3 83
 
3.1%
4 91
 
3.3%
5 50
 
1.8%
6 50
 
1.8%
7 35
 
1.3%
8 34
 
1.3%
9 28
 
1.0%
ValueCountFrequency (%)
31513 1
< 0.1%
26179 1
< 0.1%
9498 1
< 0.1%
8355 1
< 0.1%
6890 1
< 0.1%
6019 1
< 0.1%
4126 1
< 0.1%
3861 1
< 0.1%
2959 1
< 0.1%
2920 1
< 0.1%

2016-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)12.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean87.86291
Minimum0
Maximum29679
Zeros902
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:24.249527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile266.95
Maximum29679
Range29679
Interquartile range (IQR)28

Descriptive statistics

Standard deviation833.26323
Coefficient of variation (CV)9.4836744
Kurtosis911.77456
Mean87.86291
Median Absolute Deviation (MAD)3
Skewness28.383582
Sum219833
Variance694327.61
MonotonicityNot monotonic
2024-03-23T06:50:24.692723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 902
33.2%
1 161
 
5.9%
2 123
 
4.5%
3 89
 
3.3%
5 63
 
2.3%
4 62
 
2.3%
6 52
 
1.9%
10 42
 
1.5%
7 35
 
1.3%
8 34
 
1.3%
Other values (311) 939
34.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 902
33.2%
1 161
 
5.9%
2 123
 
4.5%
3 89
 
3.3%
4 62
 
2.3%
5 63
 
2.3%
6 52
 
1.9%
7 35
 
1.3%
8 34
 
1.3%
9 33
 
1.2%
ValueCountFrequency (%)
29679 1
< 0.1%
23915 1
< 0.1%
8580 1
< 0.1%
7847 1
< 0.1%
6101 1
< 0.1%
5208 1
< 0.1%
3630 1
< 0.1%
3200 1
< 0.1%
2838 1
< 0.1%
2627 1
< 0.1%

2016-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)11.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean74.200639
Minimum0
Maximum23063
Zeros907
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:25.360915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile215.95
Maximum23063
Range23063
Interquartile range (IQR)23

Descriptive statistics

Standard deviation690.67754
Coefficient of variation (CV)9.3082424
Kurtosis829.33819
Mean74.200639
Median Absolute Deviation (MAD)3
Skewness27.049061
Sum185650
Variance477035.46
MonotonicityNot monotonic
2024-03-23T06:50:26.177118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 907
33.4%
1 200
 
7.4%
2 112
 
4.1%
3 91
 
3.3%
4 72
 
2.6%
5 62
 
2.3%
6 59
 
2.2%
9 39
 
1.4%
8 39
 
1.4%
7 36
 
1.3%
Other values (281) 885
32.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 907
33.4%
1 200
 
7.4%
2 112
 
4.1%
3 91
 
3.3%
4 72
 
2.6%
5 62
 
2.3%
6 59
 
2.2%
7 36
 
1.3%
8 39
 
1.4%
9 39
 
1.4%
ValueCountFrequency (%)
23063 1
< 0.1%
20825 1
< 0.1%
8307 1
< 0.1%
6524 1
< 0.1%
5825 1
< 0.1%
3497 1
< 0.1%
3318 1
< 0.1%
3189 1
< 0.1%
2254 1
< 0.1%
2211 1
< 0.1%

2017-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct236
Distinct (%)9.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean48.551159
Minimum0
Maximum16193
Zeros926
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:26.709763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile146
Maximum16193
Range16193
Interquartile range (IQR)17

Descriptive statistics

Standard deviation450.96971
Coefficient of variation (CV)9.2885467
Kurtosis955.41902
Mean48.551159
Median Absolute Deviation (MAD)2
Skewness29.160039
Sum121475
Variance203373.68
MonotonicityNot monotonic
2024-03-23T06:50:27.294909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 926
34.1%
1 234
 
8.6%
2 157
 
5.8%
3 104
 
3.8%
4 69
 
2.5%
5 51
 
1.9%
7 50
 
1.8%
11 41
 
1.5%
6 41
 
1.5%
8 36
 
1.3%
Other values (226) 793
29.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 926
34.1%
1 234
 
8.6%
2 157
 
5.8%
3 104
 
3.8%
4 69
 
2.5%
5 51
 
1.9%
6 41
 
1.5%
7 50
 
1.8%
8 36
 
1.3%
9 33
 
1.2%
ValueCountFrequency (%)
16193 1
< 0.1%
13257 1
< 0.1%
3914 1
< 0.1%
3612 1
< 0.1%
2897 1
< 0.1%
2652 1
< 0.1%
2014 1
< 0.1%
1578 1
< 0.1%
1447 1
< 0.1%
1338 1
< 0.1%

2017-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct240
Distinct (%)9.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean51.571143
Minimum0
Maximum16565
Zeros918
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:27.809864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318.75
95-th percentile156
Maximum16565
Range16565
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation480.4231
Coefficient of variation (CV)9.3157349
Kurtosis938.86195
Mean51.571143
Median Absolute Deviation (MAD)2
Skewness29.063571
Sum129031
Variance230806.35
MonotonicityNot monotonic
2024-03-23T06:50:28.316490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918
33.8%
1 207
 
7.6%
2 138
 
5.1%
3 89
 
3.3%
4 68
 
2.5%
5 65
 
2.4%
6 58
 
2.1%
9 49
 
1.8%
7 48
 
1.8%
8 42
 
1.5%
Other values (230) 820
30.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 918
33.8%
1 207
 
7.6%
2 138
 
5.1%
3 89
 
3.3%
4 68
 
2.5%
5 65
 
2.4%
6 58
 
2.1%
7 48
 
1.8%
8 42
 
1.5%
9 49
 
1.8%
ValueCountFrequency (%)
16565 1
< 0.1%
15018 1
< 0.1%
3977 1
< 0.1%
3858 1
< 0.1%
3362 1
< 0.1%
2693 1
< 0.1%
1939 1
< 0.1%
1428 1
< 0.1%
1410 1
< 0.1%
1394 1
< 0.1%

2017-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct271
Distinct (%)10.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean61.834932
Minimum0
Maximum19278
Zeros930
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:28.920777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320.75
95-th percentile187
Maximum19278
Range19278
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation580.16348
Coefficient of variation (CV)9.3824551
Kurtosis907.93907
Mean61.834932
Median Absolute Deviation (MAD)3
Skewness28.54902
Sum154711
Variance336589.66
MonotonicityNot monotonic
2024-03-23T06:50:29.546293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 930
34.2%
1 204
 
7.5%
2 109
 
4.0%
3 108
 
4.0%
4 73
 
2.7%
5 55
 
2.0%
7 45
 
1.7%
8 41
 
1.5%
6 38
 
1.4%
9 38
 
1.4%
Other values (261) 861
31.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 930
34.2%
1 204
 
7.5%
2 109
 
4.0%
3 108
 
4.0%
4 73
 
2.7%
5 55
 
2.0%
6 38
 
1.4%
7 45
 
1.7%
8 41
 
1.5%
9 38
 
1.4%
ValueCountFrequency (%)
19278 1
< 0.1%
18651 1
< 0.1%
4937 1
< 0.1%
4708 1
< 0.1%
4624 1
< 0.1%
3601 1
< 0.1%
2814 1
< 0.1%
2171 1
< 0.1%
1618 1
< 0.1%
1511 1
< 0.1%

2017-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct269
Distinct (%)10.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean59.655476
Minimum0
Maximum18901
Zeros931
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:30.244259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile179
Maximum18901
Range18901
Interquartile range (IQR)19

Descriptive statistics

Standard deviation567.20732
Coefficient of variation (CV)9.5080513
Kurtosis905.38124
Mean59.655476
Median Absolute Deviation (MAD)2
Skewness28.509283
Sum149258
Variance321724.15
MonotonicityNot monotonic
2024-03-23T06:50:30.801078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 931
34.3%
1 211
 
7.8%
2 119
 
4.4%
3 85
 
3.1%
5 74
 
2.7%
4 70
 
2.6%
6 59
 
2.2%
7 51
 
1.9%
9 36
 
1.3%
10 31
 
1.1%
Other values (259) 835
30.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 931
34.3%
1 211
 
7.8%
2 119
 
4.4%
3 85
 
3.1%
4 70
 
2.6%
5 74
 
2.7%
6 59
 
2.2%
7 51
 
1.9%
8 30
 
1.1%
9 36
 
1.3%
ValueCountFrequency (%)
18901 1
< 0.1%
18141 1
< 0.1%
5104 1
< 0.1%
4612 1
< 0.1%
4461 1
< 0.1%
3192 1
< 0.1%
2954 1
< 0.1%
2511 1
< 0.1%
1517 1
< 0.1%
1471 1
< 0.1%

2017-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct287
Distinct (%)11.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean68.232214
Minimum0
Maximum21804
Zeros933
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:31.473927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile211.95
Maximum21804
Range21804
Interquartile range (IQR)21

Descriptive statistics

Standard deviation652.12604
Coefficient of variation (CV)9.557451
Kurtosis887.14373
Mean68.232214
Median Absolute Deviation (MAD)2
Skewness28.159998
Sum170717
Variance425268.38
MonotonicityNot monotonic
2024-03-23T06:50:32.119549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 933
34.3%
1 190
 
7.0%
2 140
 
5.2%
3 91
 
3.3%
4 78
 
2.9%
5 60
 
2.2%
6 45
 
1.7%
8 44
 
1.6%
7 41
 
1.5%
9 36
 
1.3%
Other values (277) 844
31.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 933
34.3%
1 190
 
7.0%
2 140
 
5.2%
3 91
 
3.3%
4 78
 
2.9%
5 60
 
2.2%
6 45
 
1.7%
7 41
 
1.5%
8 44
 
1.6%
9 36
 
1.3%
ValueCountFrequency (%)
21804 1
< 0.1%
20522 1
< 0.1%
5838 1
< 0.1%
5642 1
< 0.1%
5179 1
< 0.1%
4622 1
< 0.1%
3329 1
< 0.1%
3224 1
< 0.1%
1677 1
< 0.1%
1670 1
< 0.1%

2017-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct312
Distinct (%)12.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean82.326539
Minimum0
Maximum26962
Zeros905
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:32.583147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile254.95
Maximum26962
Range26962
Interquartile range (IQR)24

Descriptive statistics

Standard deviation788.58862
Coefficient of variation (CV)9.5787899
Kurtosis871.84559
Mean82.326539
Median Absolute Deviation (MAD)3
Skewness27.808387
Sum205981
Variance621872.01
MonotonicityNot monotonic
2024-03-23T06:50:33.208708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 905
33.3%
1 207
 
7.6%
2 111
 
4.1%
3 103
 
3.8%
4 66
 
2.4%
5 59
 
2.2%
6 49
 
1.8%
8 48
 
1.8%
12 34
 
1.3%
7 32
 
1.2%
Other values (302) 888
32.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 905
33.3%
1 207
 
7.6%
2 111
 
4.1%
3 103
 
3.8%
4 66
 
2.4%
5 59
 
2.2%
6 49
 
1.8%
7 32
 
1.2%
8 48
 
1.8%
9 25
 
0.9%
ValueCountFrequency (%)
26962 1
< 0.1%
23736 1
< 0.1%
7546 1
< 0.1%
6584 1
< 0.1%
6544 1
< 0.1%
6541 1
< 0.1%
4588 1
< 0.1%
3839 1
< 0.1%
2179 1
< 0.1%
1994 1
< 0.1%

2017-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct311
Distinct (%)12.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean83.77458
Minimum0
Maximum27771
Zeros910
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:33.857104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile252.95
Maximum27771
Range27771
Interquartile range (IQR)25

Descriptive statistics

Standard deviation802.35875
Coefficient of variation (CV)9.5775919
Kurtosis863.34816
Mean83.77458
Median Absolute Deviation (MAD)3
Skewness27.588686
Sum209604
Variance643779.56
MonotonicityNot monotonic
2024-03-23T06:50:34.392202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 910
33.5%
1 187
 
6.9%
2 127
 
4.7%
3 104
 
3.8%
5 65
 
2.4%
4 63
 
2.3%
6 48
 
1.8%
8 35
 
1.3%
7 33
 
1.2%
9 31
 
1.1%
Other values (301) 899
33.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 910
33.5%
1 187
 
6.9%
2 127
 
4.7%
3 104
 
3.8%
4 63
 
2.3%
5 65
 
2.4%
6 48
 
1.8%
7 33
 
1.2%
8 35
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
27771 1
< 0.1%
23424 1
< 0.1%
8130 1
< 0.1%
7361 1
< 0.1%
6871 1
< 0.1%
6507 1
< 0.1%
4404 1
< 0.1%
3685 1
< 0.1%
2561 1
< 0.1%
2191 1
< 0.1%

2017-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct309
Distinct (%)12.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean81.8745
Minimum0
Maximum28077
Zeros911
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:34.924880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324.75
95-th percentile255.95
Maximum28077
Range28077
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation786.88024
Coefficient of variation (CV)9.6108097
Kurtosis885.22513
Mean81.8745
Median Absolute Deviation (MAD)3
Skewness27.827649
Sum204850
Variance619180.52
MonotonicityNot monotonic
2024-03-23T06:50:35.453601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 911
33.5%
1 180
 
6.6%
2 142
 
5.2%
4 80
 
2.9%
3 72
 
2.6%
5 71
 
2.6%
7 47
 
1.7%
6 44
 
1.6%
9 33
 
1.2%
13 29
 
1.1%
Other values (299) 893
32.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 911
33.5%
1 180
 
6.6%
2 142
 
5.2%
3 72
 
2.6%
4 80
 
2.9%
5 71
 
2.6%
6 44
 
1.6%
7 47
 
1.7%
8 27
 
1.0%
9 33
 
1.2%
ValueCountFrequency (%)
28077 1
< 0.1%
21838 1
< 0.1%
8308 1
< 0.1%
7587 1
< 0.1%
6617 1
< 0.1%
5939 1
< 0.1%
4516 1
< 0.1%
3373 1
< 0.1%
2439 1
< 0.1%
2408 1
< 0.1%

2017-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)11.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean70.245803
Minimum0
Maximum24187
Zeros924
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:36.124286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323.75
95-th percentile207
Maximum24187
Range24187
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation667.58071
Coefficient of variation (CV)9.5034959
Kurtosis919.49795
Mean70.245803
Median Absolute Deviation (MAD)3
Skewness28.41617
Sum175755
Variance445664
MonotonicityNot monotonic
2024-03-23T06:50:37.106281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 924
34.0%
1 199
 
7.3%
2 108
 
4.0%
3 90
 
3.3%
4 75
 
2.8%
5 70
 
2.6%
6 51
 
1.9%
7 48
 
1.8%
9 33
 
1.2%
8 30
 
1.1%
Other values (281) 874
32.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 924
34.0%
1 199
 
7.3%
2 108
 
4.0%
3 90
 
3.3%
4 75
 
2.8%
5 70
 
2.6%
6 51
 
1.9%
7 48
 
1.8%
8 30
 
1.1%
9 33
 
1.2%
ValueCountFrequency (%)
24187 1
< 0.1%
18408 1
< 0.1%
7637 1
< 0.1%
6354 1
< 0.1%
5013 1
< 0.1%
3708 1
< 0.1%
3049 1
< 0.1%
2470 1
< 0.1%
2167 1
< 0.1%
2103 1
< 0.1%

2017-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct246
Distinct (%)9.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean51.230216
Minimum0
Maximum17554
Zeros987
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:37.635139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316.75
95-th percentile149.9
Maximum17554
Range17554
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation488.6901
Coefficient of variation (CV)9.539099
Kurtosis937.46717
Mean51.230216
Median Absolute Deviation (MAD)2
Skewness28.872078
Sum128178
Variance238818.01
MonotonicityNot monotonic
2024-03-23T06:50:38.324501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 987
36.3%
1 197
 
7.2%
2 129
 
4.7%
3 101
 
3.7%
4 58
 
2.1%
6 53
 
1.9%
7 48
 
1.8%
5 47
 
1.7%
8 40
 
1.5%
9 39
 
1.4%
Other values (236) 803
29.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 987
36.3%
1 197
 
7.2%
2 129
 
4.7%
3 101
 
3.7%
4 58
 
2.1%
5 47
 
1.7%
6 53
 
1.9%
7 48
 
1.8%
8 40
 
1.5%
9 39
 
1.4%
ValueCountFrequency (%)
17554 1
< 0.1%
14078 1
< 0.1%
5211 1
< 0.1%
4274 1
< 0.1%
3777 1
< 0.1%
2238 1
< 0.1%
1659 1
< 0.1%
1588 1
< 0.1%
1339 1
< 0.1%
1314 1
< 0.1%

2017-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct273
Distinct (%)10.9%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean61.581135
Minimum0
Maximum21053
Zeros938
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:38.781196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320
95-th percentile182.95
Maximum21053
Range21053
Interquartile range (IQR)20

Descriptive statistics

Standard deviation583.99924
Coefficient of variation (CV)9.4834114
Kurtosis940.27307
Mean61.581135
Median Absolute Deviation (MAD)3
Skewness28.859932
Sum154076
Variance341055.11
MonotonicityNot monotonic
2024-03-23T06:50:39.252925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
34.5%
1 183
 
6.7%
2 118
 
4.3%
4 82
 
3.0%
3 81
 
3.0%
6 79
 
2.9%
5 74
 
2.7%
8 32
 
1.2%
7 32
 
1.2%
14 30
 
1.1%
Other values (263) 853
31.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 938
34.5%
1 183
 
6.7%
2 118
 
4.3%
3 81
 
3.0%
4 82
 
3.0%
5 74
 
2.7%
6 79
 
2.9%
7 32
 
1.2%
8 32
 
1.2%
9 23
 
0.8%
ValueCountFrequency (%)
21053 1
< 0.1%
16739 1
< 0.1%
5608 1
< 0.1%
5327 1
< 0.1%
4390 1
< 0.1%
2841 1
< 0.1%
2772 1
< 0.1%
1989 1
< 0.1%
1873 1
< 0.1%
1674 1
< 0.1%

2017-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct263
Distinct (%)10.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean58.979217
Minimum0
Maximum20638
Zeros937
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:39.813737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile175
Maximum20638
Range20638
Interquartile range (IQR)20

Descriptive statistics

Standard deviation556.73418
Coefficient of variation (CV)9.4394978
Kurtosis967.8525
Mean58.979217
Median Absolute Deviation (MAD)2
Skewness29.111864
Sum147566
Variance309952.95
MonotonicityNot monotonic
2024-03-23T06:50:40.351255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 937
34.5%
1 188
 
6.9%
2 136
 
5.0%
4 106
 
3.9%
3 82
 
3.0%
5 59
 
2.2%
6 47
 
1.7%
7 40
 
1.5%
8 39
 
1.4%
11 34
 
1.3%
Other values (253) 834
30.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 937
34.5%
1 188
 
6.9%
2 136
 
5.0%
3 82
 
3.0%
4 106
 
3.9%
5 59
 
2.2%
6 47
 
1.7%
7 40
 
1.5%
8 39
 
1.4%
9 30
 
1.1%
ValueCountFrequency (%)
20638 1
< 0.1%
15125 1
< 0.1%
5414 1
< 0.1%
5023 1
< 0.1%
3616 1
< 0.1%
3547 1
< 0.1%
2543 1
< 0.1%
2455 1
< 0.1%
1864 1
< 0.1%
1457 1
< 0.1%

2018-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct270
Distinct (%)10.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean60.709033
Minimum0
Maximum20922
Zeros943
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:40.857725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile181.8
Maximum20922
Range20922
Interquartile range (IQR)20

Descriptive statistics

Standard deviation570.30193
Coefficient of variation (CV)9.394021
Kurtosis944.24737
Mean60.709033
Median Absolute Deviation (MAD)2
Skewness28.749415
Sum151894
Variance325244.29
MonotonicityNot monotonic
2024-03-23T06:50:41.415194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 943
34.7%
1 190
 
7.0%
2 122
 
4.5%
3 97
 
3.6%
4 80
 
2.9%
6 62
 
2.3%
5 45
 
1.7%
7 40
 
1.5%
8 37
 
1.4%
11 36
 
1.3%
Other values (260) 850
31.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 943
34.7%
1 190
 
7.0%
2 122
 
4.5%
3 97
 
3.6%
4 80
 
2.9%
5 45
 
1.7%
6 62
 
2.3%
7 40
 
1.5%
8 37
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
20922 1
< 0.1%
15601 1
< 0.1%
5693 1
< 0.1%
5188 1
< 0.1%
4144 1
< 0.1%
3774 1
< 0.1%
2852 1
< 0.1%
2522 1
< 0.1%
1894 1
< 0.1%
1578 1
< 0.1%

2018-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct281
Distinct (%)11.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean63.331735
Minimum0
Maximum21236
Zeros939
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:41.841250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile193.95
Maximum21236
Range21236
Interquartile range (IQR)20

Descriptive statistics

Standard deviation595.59907
Coefficient of variation (CV)9.4044332
Kurtosis884.78982
Mean63.331735
Median Absolute Deviation (MAD)2
Skewness27.802926
Sum158456
Variance354738.25
MonotonicityNot monotonic
2024-03-23T06:50:42.489513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 939
34.5%
1 203
 
7.5%
2 118
 
4.3%
3 93
 
3.4%
4 74
 
2.7%
6 57
 
2.1%
5 54
 
2.0%
10 40
 
1.5%
7 37
 
1.4%
8 36
 
1.3%
Other values (271) 851
31.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 939
34.5%
1 203
 
7.5%
2 118
 
4.3%
3 93
 
3.4%
4 74
 
2.7%
5 54
 
2.0%
6 57
 
2.1%
7 37
 
1.4%
8 36
 
1.3%
9 34
 
1.3%
ValueCountFrequency (%)
21236 1
< 0.1%
16569 1
< 0.1%
6037 1
< 0.1%
5979 1
< 0.1%
4769 1
< 0.1%
4313 1
< 0.1%
3693 1
< 0.1%
2502 1
< 0.1%
2051 1
< 0.1%
1826 1
< 0.1%

2018-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct301
Distinct (%)12.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean79.496403
Minimum0
Maximum26248
Zeros894
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:42.979680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324.75
95-th percentile242.9
Maximum26248
Range26248
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation741.75181
Coefficient of variation (CV)9.3306336
Kurtosis872.48196
Mean79.496403
Median Absolute Deviation (MAD)3
Skewness27.608316
Sum198900
Variance550195.74
MonotonicityNot monotonic
2024-03-23T06:50:43.623907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 894
32.9%
1 189
 
7.0%
2 109
 
4.0%
3 86
 
3.2%
4 74
 
2.7%
5 65
 
2.4%
6 59
 
2.2%
9 48
 
1.8%
7 43
 
1.6%
8 32
 
1.2%
Other values (291) 903
33.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 894
32.9%
1 189
 
7.0%
2 109
 
4.0%
3 86
 
3.2%
4 74
 
2.7%
5 65
 
2.4%
6 59
 
2.2%
7 43
 
1.6%
8 32
 
1.2%
9 48
 
1.8%
ValueCountFrequency (%)
26248 1
< 0.1%
20770 1
< 0.1%
7842 1
< 0.1%
7502 1
< 0.1%
5775 1
< 0.1%
5345 1
< 0.1%
4144 1
< 0.1%
3682 1
< 0.1%
2672 1
< 0.1%
2229 1
< 0.1%

2018-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct267
Distinct (%)10.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean59.244205
Minimum0
Maximum20324
Zeros958
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:44.129951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile178
Maximum20324
Range20324
Interquartile range (IQR)19

Descriptive statistics

Standard deviation565.32605
Coefficient of variation (CV)9.5423013
Kurtosis936.96179
Mean59.244205
Median Absolute Deviation (MAD)2
Skewness28.833098
Sum148229
Variance319593.54
MonotonicityNot monotonic
2024-03-23T06:50:44.807572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 958
35.2%
1 201
 
7.4%
2 134
 
4.9%
3 90
 
3.3%
4 67
 
2.5%
5 60
 
2.2%
7 47
 
1.7%
6 43
 
1.6%
8 42
 
1.5%
9 37
 
1.4%
Other values (257) 823
30.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 958
35.2%
1 201
 
7.4%
2 134
 
4.9%
3 90
 
3.3%
4 67
 
2.5%
5 60
 
2.2%
6 43
 
1.6%
7 47
 
1.7%
8 42
 
1.5%
9 37
 
1.4%
ValueCountFrequency (%)
20324 1
< 0.1%
16252 1
< 0.1%
5923 1
< 0.1%
4971 1
< 0.1%
4028 1
< 0.1%
2784 1
< 0.1%
2534 1
< 0.1%
1900 1
< 0.1%
1837 1
< 0.1%
1596 1
< 0.1%

2018-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct254
Distinct (%)10.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean53.860512
Minimum0
Maximum18031
Zeros946
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:45.328529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile162
Maximum18031
Range18031
Interquartile range (IQR)17

Descriptive statistics

Standard deviation505.41082
Coefficient of variation (CV)9.3836989
Kurtosis921.51939
Mean53.860512
Median Absolute Deviation (MAD)2
Skewness28.558235
Sum134759
Variance255440.1
MonotonicityNot monotonic
2024-03-23T06:50:45.883600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 946
34.8%
1 201
 
7.4%
2 119
 
4.4%
3 100
 
3.7%
4 77
 
2.8%
5 72
 
2.6%
7 60
 
2.2%
6 54
 
2.0%
8 35
 
1.3%
9 35
 
1.3%
Other values (244) 803
29.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 946
34.8%
1 201
 
7.4%
2 119
 
4.4%
3 100
 
3.7%
4 77
 
2.8%
5 72
 
2.6%
6 54
 
2.0%
7 60
 
2.2%
8 35
 
1.3%
9 35
 
1.3%
ValueCountFrequency (%)
18031 1
< 0.1%
14593 1
< 0.1%
5137 1
< 0.1%
4609 1
< 0.1%
3703 1
< 0.1%
2588 1
< 0.1%
2442 1
< 0.1%
1930 1
< 0.1%
1731 1
< 0.1%
1376 1
< 0.1%

2018-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct241
Distinct (%)9.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean51.498401
Minimum0
Maximum16735
Zeros971
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:46.570713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile146.9
Maximum16735
Range16735
Interquartile range (IQR)17

Descriptive statistics

Standard deviation493.98364
Coefficient of variation (CV)9.5922132
Kurtosis922.32265
Mean51.498401
Median Absolute Deviation (MAD)2
Skewness28.792166
Sum128849
Variance244019.84
MonotonicityNot monotonic
2024-03-23T06:50:47.338334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 971
35.7%
1 202
 
7.4%
2 134
 
4.9%
3 108
 
4.0%
5 76
 
2.8%
4 74
 
2.7%
7 49
 
1.8%
6 42
 
1.5%
8 37
 
1.4%
9 36
 
1.3%
Other values (231) 773
28.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 971
35.7%
1 202
 
7.4%
2 134
 
4.9%
3 108
 
4.0%
4 74
 
2.7%
5 76
 
2.8%
6 42
 
1.5%
7 49
 
1.8%
8 37
 
1.4%
9 36
 
1.3%
ValueCountFrequency (%)
16735 1
< 0.1%
15646 1
< 0.1%
4633 1
< 0.1%
3902 1
< 0.1%
3413 1
< 0.1%
2109 1
< 0.1%
1996 1
< 0.1%
1910 1
< 0.1%
1741 1
< 0.1%
1463 1
< 0.1%

2018-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct251
Distinct (%)10.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50.200717
Minimum0
Maximum16739
Zeros972
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:48.162374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile153.5
Maximum16739
Range16739
Interquartile range (IQR)16

Descriptive statistics

Standard deviation477.20595
Coefficient of variation (CV)9.5059589
Kurtosis916.64426
Mean50.200717
Median Absolute Deviation (MAD)2
Skewness28.582002
Sum126054
Variance227725.52
MonotonicityNot monotonic
2024-03-23T06:50:48.920397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 972
35.8%
1 220
 
8.1%
2 124
 
4.6%
3 122
 
4.5%
4 72
 
2.6%
5 59
 
2.2%
6 51
 
1.9%
7 43
 
1.6%
9 37
 
1.4%
8 36
 
1.3%
Other values (241) 775
28.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 972
35.8%
1 220
 
8.1%
2 124
 
4.6%
3 122
 
4.5%
4 72
 
2.6%
5 59
 
2.2%
6 51
 
1.9%
7 43
 
1.6%
8 36
 
1.3%
9 37
 
1.4%
ValueCountFrequency (%)
16739 1
< 0.1%
14262 1
< 0.1%
4775 1
< 0.1%
4031 1
< 0.1%
3922 1
< 0.1%
2444 1
< 0.1%
2267 1
< 0.1%
1886 1
< 0.1%
1511 1
< 0.1%
1169 1
< 0.1%

2018-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct256
Distinct (%)10.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean54.731415
Minimum0
Maximum18780
Zeros972
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:49.458106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile169
Maximum18780
Range18780
Interquartile range (IQR)16

Descriptive statistics

Standard deviation526.54264
Coefficient of variation (CV)9.6204829
Kurtosis895.29068
Mean54.731415
Median Absolute Deviation (MAD)2
Skewness28.068232
Sum136938
Variance277247.15
MonotonicityNot monotonic
2024-03-23T06:50:50.044486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 972
35.8%
1 211
 
7.8%
2 123
 
4.5%
3 93
 
3.4%
4 75
 
2.8%
5 62
 
2.3%
6 54
 
2.0%
8 39
 
1.4%
7 39
 
1.4%
11 37
 
1.4%
Other values (246) 797
29.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 972
35.8%
1 211
 
7.8%
2 123
 
4.5%
3 93
 
3.4%
4 75
 
2.8%
5 62
 
2.3%
6 54
 
2.0%
7 39
 
1.4%
8 39
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
18780 1
< 0.1%
14776 1
< 0.1%
6047 1
< 0.1%
4851 1
< 0.1%
4417 1
< 0.1%
3294 1
< 0.1%
2400 1
< 0.1%
2333 1
< 0.1%
1731 1
< 0.1%
1131 1
< 0.1%

2018-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct288
Distinct (%)11.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean69.463629
Minimum0
Maximum23626
Zeros956
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:50.608645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile213.95
Maximum23626
Range23626
Interquartile range (IQR)19

Descriptive statistics

Standard deviation669.61965
Coefficient of variation (CV)9.6398599
Kurtosis838.13834
Mean69.463629
Median Absolute Deviation (MAD)2
Skewness26.97418
Sum173798
Variance448390.48
MonotonicityNot monotonic
2024-03-23T06:50:51.299718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 956
35.2%
1 218
 
8.0%
2 144
 
5.3%
3 101
 
3.7%
4 71
 
2.6%
5 49
 
1.8%
6 44
 
1.6%
7 37
 
1.4%
9 34
 
1.3%
8 32
 
1.2%
Other values (278) 816
30.0%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 956
35.2%
1 218
 
8.0%
2 144
 
5.3%
3 101
 
3.7%
4 71
 
2.6%
5 49
 
1.8%
6 44
 
1.6%
7 37
 
1.4%
8 32
 
1.2%
9 34
 
1.3%
ValueCountFrequency (%)
23626 1
< 0.1%
18069 1
< 0.1%
8392 1
< 0.1%
6445 1
< 0.1%
6323 1
< 0.1%
5310 1
< 0.1%
3854 1
< 0.1%
2756 1
< 0.1%
2535 1
< 0.1%
1712 1
< 0.1%

2018-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct305
Distinct (%)12.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean83.265388
Minimum0
Maximum28819
Zeros910
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:52.115884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile269.9
Maximum28819
Range28819
Interquartile range (IQR)25

Descriptive statistics

Standard deviation798.50919
Coefficient of variation (CV)9.5899294
Kurtosis888.47224
Mean83.265388
Median Absolute Deviation (MAD)3
Skewness27.834648
Sum208330
Variance637616.93
MonotonicityNot monotonic
2024-03-23T06:50:53.249100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 910
33.5%
1 193
 
7.1%
2 128
 
4.7%
4 87
 
3.2%
3 82
 
3.0%
5 63
 
2.3%
7 50
 
1.8%
9 42
 
1.5%
6 39
 
1.4%
10 34
 
1.3%
Other values (295) 874
32.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 910
33.5%
1 193
 
7.1%
2 128
 
4.7%
3 82
 
3.0%
4 87
 
3.2%
5 63
 
2.3%
6 39
 
1.4%
7 50
 
1.8%
8 26
 
1.0%
9 42
 
1.5%
ValueCountFrequency (%)
28819 1
< 0.1%
21380 1
< 0.1%
10149 1
< 0.1%
7629 1
< 0.1%
7090 1
< 0.1%
4709 1
< 0.1%
3246 1
< 0.1%
3232 1
< 0.1%
3153 1
< 0.1%
1734 1
< 0.1%

2018-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct251
Distinct (%)10.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean53.698241
Minimum0
Maximum19041
Zeros965
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:53.978967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile159
Maximum19041
Range19041
Interquartile range (IQR)17

Descriptive statistics

Standard deviation513.2423
Coefficient of variation (CV)9.5578977
Kurtosis974.62859
Mean53.698241
Median Absolute Deviation (MAD)2
Skewness29.295629
Sum134353
Variance263417.66
MonotonicityNot monotonic
2024-03-23T06:50:54.914886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 965
35.5%
1 197
 
7.2%
2 129
 
4.7%
3 98
 
3.6%
4 83
 
3.1%
5 64
 
2.4%
6 63
 
2.3%
9 41
 
1.5%
7 35
 
1.3%
8 34
 
1.3%
Other values (241) 793
29.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 965
35.5%
1 197
 
7.2%
2 129
 
4.7%
3 98
 
3.6%
4 83
 
3.1%
5 64
 
2.4%
6 63
 
2.3%
7 35
 
1.3%
8 34
 
1.3%
9 41
 
1.5%
ValueCountFrequency (%)
19041 1
< 0.1%
13990 1
< 0.1%
5544 1
< 0.1%
4371 1
< 0.1%
4039 1
< 0.1%
2120 1
< 0.1%
1765 1
< 0.1%
1508 1
< 0.1%
1395 1
< 0.1%
1372 1
< 0.1%

2018-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct226
Distinct (%)9.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean42.977218
Minimum0
Maximum14944
Zeros969
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:55.399704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile128.95
Maximum14944
Range14944
Interquartile range (IQR)14

Descriptive statistics

Standard deviation406.8215
Coefficient of variation (CV)9.4659803
Kurtosis982.01291
Mean42.977218
Median Absolute Deviation (MAD)2
Skewness29.5387
Sum107529
Variance165503.74
MonotonicityNot monotonic
2024-03-23T06:50:55.825237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 969
35.7%
1 232
 
8.5%
2 152
 
5.6%
3 90
 
3.3%
4 85
 
3.1%
5 53
 
1.9%
8 46
 
1.7%
7 45
 
1.7%
6 45
 
1.7%
9 35
 
1.3%
Other values (216) 750
27.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 969
35.7%
1 232
 
8.5%
2 152
 
5.6%
3 90
 
3.3%
4 85
 
3.1%
5 53
 
1.9%
6 45
 
1.7%
7 45
 
1.7%
8 46
 
1.7%
9 35
 
1.3%
ValueCountFrequency (%)
14944 1
< 0.1%
11561 1
< 0.1%
3843 1
< 0.1%
3423 1
< 0.1%
2737 1
< 0.1%
1878 1
< 0.1%
1401 1
< 0.1%
1220 1
< 0.1%
1094 1
< 0.1%
954 1
< 0.1%

2019-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct214
Distinct (%)8.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean39.996403
Minimum0
Maximum13834
Zeros978
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:56.504779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile127
Maximum13834
Range13834
Interquartile range (IQR)13

Descriptive statistics

Standard deviation377.89673
Coefficient of variation (CV)9.4482678
Kurtosis985.48941
Mean39.996403
Median Absolute Deviation (MAD)2
Skewness29.650229
Sum100071
Variance142805.93
MonotonicityNot monotonic
2024-03-23T06:50:57.190517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 978
36.0%
1 239
 
8.8%
2 120
 
4.4%
4 105
 
3.9%
3 102
 
3.8%
5 70
 
2.6%
6 57
 
2.1%
7 44
 
1.6%
9 39
 
1.4%
8 34
 
1.3%
Other values (204) 714
26.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 978
36.0%
1 239
 
8.8%
2 120
 
4.4%
3 102
 
3.8%
4 105
 
3.9%
5 70
 
2.6%
6 57
 
2.1%
7 44
 
1.6%
8 34
 
1.3%
9 39
 
1.4%
ValueCountFrequency (%)
13834 1
< 0.1%
10881 1
< 0.1%
3482 1
< 0.1%
3001 1
< 0.1%
2586 1
< 0.1%
1927 1
< 0.1%
1048 1
< 0.1%
1030 1
< 0.1%
978 1
< 0.1%
951 1
< 0.1%

2019-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct213
Distinct (%)8.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean36.090727
Minimum0
Maximum12254
Zeros1008
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:57.946875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile119
Maximum12254
Range12254
Interquartile range (IQR)12

Descriptive statistics

Standard deviation337.49796
Coefficient of variation (CV)9.3513759
Kurtosis981.75268
Mean36.090727
Median Absolute Deviation (MAD)2
Skewness29.626902
Sum90299
Variance113904.87
MonotonicityNot monotonic
2024-03-23T06:50:58.523306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1008
37.1%
1 232
 
8.5%
2 147
 
5.4%
3 113
 
4.2%
5 75
 
2.8%
4 68
 
2.5%
6 54
 
2.0%
7 42
 
1.5%
8 38
 
1.4%
11 36
 
1.3%
Other values (203) 689
25.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 1008
37.1%
1 232
 
8.5%
2 147
 
5.4%
3 113
 
4.2%
4 68
 
2.5%
5 75
 
2.8%
6 54
 
2.0%
7 42
 
1.5%
8 38
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
12254 1
< 0.1%
9895 1
< 0.1%
2862 1
< 0.1%
2442 1
< 0.1%
2287 1
< 0.1%
2110 1
< 0.1%
1056 1
< 0.1%
820 1
< 0.1%
773 1
< 0.1%
771 1
< 0.1%

2019-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct223
Distinct (%)8.9%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean40.509592
Minimum0
Maximum13774
Zeros971
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:50:58.949519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile130
Maximum13774
Range13774
Interquartile range (IQR)13

Descriptive statistics

Standard deviation386.46464
Coefficient of variation (CV)9.5400772
Kurtosis977.95026
Mean40.509592
Median Absolute Deviation (MAD)2
Skewness29.703299
Sum101355
Variance149354.92
MonotonicityNot monotonic
2024-03-23T06:50:59.542298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 971
35.7%
1 218
 
8.0%
2 151
 
5.6%
3 111
 
4.1%
4 91
 
3.3%
5 67
 
2.5%
6 56
 
2.1%
7 48
 
1.8%
8 39
 
1.4%
9 36
 
1.3%
Other values (213) 714
26.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 971
35.7%
1 218
 
8.0%
2 151
 
5.6%
3 111
 
4.1%
4 91
 
3.3%
5 67
 
2.5%
6 56
 
2.1%
7 48
 
1.8%
8 39
 
1.4%
9 36
 
1.3%
ValueCountFrequency (%)
13774 1
< 0.1%
11749 1
< 0.1%
3269 1
< 0.1%
2657 1
< 0.1%
2652 1
< 0.1%
2116 1
< 0.1%
1269 1
< 0.1%
971 1
< 0.1%
958 1
< 0.1%
908 1
< 0.1%

2019-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct238
Distinct (%)9.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean45.986411
Minimum0
Maximum16088
Zeros963
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:00.131958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile142.95
Maximum16088
Range16088
Interquartile range (IQR)14

Descriptive statistics

Standard deviation439.08682
Coefficient of variation (CV)9.5481863
Kurtosis1000.3896
Mean45.986411
Median Absolute Deviation (MAD)2
Skewness29.935292
Sum115058
Variance192797.23
MonotonicityNot monotonic
2024-03-23T06:51:00.727529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 963
35.4%
1 210
 
7.7%
2 144
 
5.3%
3 105
 
3.9%
4 87
 
3.2%
5 61
 
2.2%
6 51
 
1.9%
8 49
 
1.8%
9 45
 
1.7%
7 36
 
1.3%
Other values (228) 751
27.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 963
35.4%
1 210
 
7.7%
2 144
 
5.3%
3 105
 
3.9%
4 87
 
3.2%
5 61
 
2.2%
6 51
 
1.9%
7 36
 
1.3%
8 49
 
1.8%
9 45
 
1.7%
ValueCountFrequency (%)
16088 1
< 0.1%
12798 1
< 0.1%
3791 1
< 0.1%
3037 1
< 0.1%
2994 1
< 0.1%
2035 1
< 0.1%
1500 1
< 0.1%
1419 1
< 0.1%
1035 1
< 0.1%
1013 1
< 0.1%

2019-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct230
Distinct (%)9.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean45.613509
Minimum0
Maximum15679
Zeros973
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:01.355810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile136.9
Maximum15679
Range15679
Interquartile range (IQR)15

Descriptive statistics

Standard deviation432.78355
Coefficient of variation (CV)9.4880565
Kurtosis981.51432
Mean45.613509
Median Absolute Deviation (MAD)2
Skewness29.662321
Sum114125
Variance187301.6
MonotonicityNot monotonic
2024-03-23T06:51:01.893080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 973
35.8%
1 217
 
8.0%
2 136
 
5.0%
3 96
 
3.5%
5 65
 
2.4%
4 63
 
2.3%
6 55
 
2.0%
9 52
 
1.9%
7 38
 
1.4%
8 37
 
1.4%
Other values (220) 770
28.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 973
35.8%
1 217
 
8.0%
2 136
 
5.0%
3 96
 
3.5%
4 63
 
2.3%
5 65
 
2.4%
6 55
 
2.0%
7 38
 
1.4%
8 37
 
1.4%
9 52
 
1.9%
ValueCountFrequency (%)
15679 1
< 0.1%
12745 1
< 0.1%
3890 1
< 0.1%
3275 1
< 0.1%
2995 1
< 0.1%
2007 1
< 0.1%
1241 1
< 0.1%
1209 1
< 0.1%
1080 1
< 0.1%
1059 1
< 0.1%

2019-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct232
Distinct (%)9.3%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean44.891287
Minimum0
Maximum15331
Zeros994
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:02.420155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile132.9
Maximum15331
Range15331
Interquartile range (IQR)14

Descriptive statistics

Standard deviation425.80829
Coefficient of variation (CV)9.4853215
Kurtosis971.06866
Mean44.891287
Median Absolute Deviation (MAD)2
Skewness29.491834
Sum112318
Variance181312.7
MonotonicityNot monotonic
2024-03-23T06:51:03.026061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 994
36.6%
1 221
 
8.1%
2 134
 
4.9%
3 95
 
3.5%
4 73
 
2.7%
5 66
 
2.4%
7 45
 
1.7%
9 45
 
1.7%
6 39
 
1.4%
8 38
 
1.4%
Other values (222) 752
27.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 994
36.6%
1 221
 
8.1%
2 134
 
4.9%
3 95
 
3.5%
4 73
 
2.7%
5 66
 
2.4%
6 39
 
1.4%
7 45
 
1.7%
8 38
 
1.4%
9 45
 
1.7%
ValueCountFrequency (%)
15331 1
< 0.1%
12605 1
< 0.1%
3759 1
< 0.1%
3177 1
< 0.1%
3059 1
< 0.1%
2167 1
< 0.1%
1635 1
< 0.1%
1457 1
< 0.1%
1152 1
< 0.1%
1014 1
< 0.1%

2019-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct266
Distinct (%)10.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean56.683853
Minimum0
Maximum20105
Zeros947
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:03.562486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318
95-th percentile169
Maximum20105
Range20105
Interquartile range (IQR)18

Descriptive statistics

Standard deviation547.24395
Coefficient of variation (CV)9.6543182
Kurtosis983.18889
Mean56.683853
Median Absolute Deviation (MAD)2
Skewness29.572804
Sum141823
Variance299475.94
MonotonicityNot monotonic
2024-03-23T06:51:04.058719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 947
34.8%
1 219
 
8.1%
2 125
 
4.6%
3 97
 
3.6%
4 74
 
2.7%
5 63
 
2.3%
6 58
 
2.1%
7 37
 
1.4%
8 30
 
1.1%
13 30
 
1.1%
Other values (256) 822
30.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 947
34.8%
1 219
 
8.1%
2 125
 
4.6%
3 97
 
3.6%
4 74
 
2.7%
5 63
 
2.3%
6 58
 
2.1%
7 37
 
1.4%
8 30
 
1.1%
9 30
 
1.1%
ValueCountFrequency (%)
20105 1
< 0.1%
15562 1
< 0.1%
5114 1
< 0.1%
4310 1
< 0.1%
3915 1
< 0.1%
2786 1
< 0.1%
2325 1
< 0.1%
2184 1
< 0.1%
1386 1
< 0.1%
1374 1
< 0.1%

2019-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct263
Distinct (%)10.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean58.028777
Minimum0
Maximum20983
Zeros961
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:04.693481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318.75
95-th percentile176
Maximum20983
Range20983
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation558.9592
Coefficient of variation (CV)9.6324484
Kurtosis1004.0639
Mean58.028777
Median Absolute Deviation (MAD)2
Skewness29.731109
Sum145188
Variance312435.39
MonotonicityNot monotonic
2024-03-23T06:51:05.366000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 961
35.4%
1 192
 
7.1%
2 139
 
5.1%
3 94
 
3.5%
4 86
 
3.2%
5 63
 
2.3%
8 47
 
1.7%
6 46
 
1.7%
7 41
 
1.5%
10 27
 
1.0%
Other values (253) 806
29.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 961
35.4%
1 192
 
7.1%
2 139
 
5.1%
3 94
 
3.5%
4 86
 
3.2%
5 63
 
2.3%
6 46
 
1.7%
7 41
 
1.5%
8 47
 
1.7%
9 26
 
1.0%
ValueCountFrequency (%)
20983 1
< 0.1%
15161 1
< 0.1%
5190 1
< 0.1%
4535 1
< 0.1%
3760 1
< 0.1%
3560 1
< 0.1%
2725 1
< 0.1%
2253 1
< 0.1%
1419 1
< 0.1%
1351 1
< 0.1%

2019-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct264
Distinct (%)10.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean56.165867
Minimum0
Maximum20699
Zeros973
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:05.770005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318
95-th percentile167.9
Maximum20699
Range20699
Interquartile range (IQR)18

Descriptive statistics

Standard deviation543.69358
Coefficient of variation (CV)9.6801422
Kurtosis1029.6516
Mean56.165867
Median Absolute Deviation (MAD)2
Skewness30.066991
Sum140527
Variance295602.71
MonotonicityNot monotonic
2024-03-23T06:51:06.350543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 973
35.8%
1 196
 
7.2%
2 144
 
5.3%
3 97
 
3.6%
4 73
 
2.7%
5 54
 
2.0%
7 41
 
1.5%
6 39
 
1.4%
8 32
 
1.2%
9 31
 
1.1%
Other values (254) 822
30.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 973
35.8%
1 196
 
7.2%
2 144
 
5.3%
3 97
 
3.6%
4 73
 
2.7%
5 54
 
2.0%
6 39
 
1.4%
7 41
 
1.5%
8 32
 
1.2%
9 31
 
1.1%
ValueCountFrequency (%)
20699 1
< 0.1%
14384 1
< 0.1%
5216 1
< 0.1%
4516 1
< 0.1%
3635 1
< 0.1%
3024 1
< 0.1%
2290 1
< 0.1%
2081 1
< 0.1%
1457 1
< 0.1%
1327 1
< 0.1%

2019-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct308
Distinct (%)12.3%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean74.828137
Minimum0
Maximum27259
Zeros906
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:06.878470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile230.65
Maximum27259
Range27259
Interquartile range (IQR)25

Descriptive statistics

Standard deviation720.27616
Coefficient of variation (CV)9.6257395
Kurtosis1013.4977
Mean74.828137
Median Absolute Deviation (MAD)3
Skewness29.835206
Sum187220
Variance518797.74
MonotonicityNot monotonic
2024-03-23T06:51:07.383816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 906
33.3%
1 179
 
6.6%
2 141
 
5.2%
3 80
 
2.9%
4 75
 
2.8%
6 70
 
2.6%
5 56
 
2.1%
8 36
 
1.3%
11 36
 
1.3%
7 35
 
1.3%
Other values (298) 888
32.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 906
33.3%
1 179
 
6.6%
2 141
 
5.2%
3 80
 
2.9%
4 75
 
2.8%
5 56
 
2.1%
6 70
 
2.6%
7 35
 
1.3%
8 36
 
1.3%
9 34
 
1.3%
ValueCountFrequency (%)
27259 1
< 0.1%
19110 1
< 0.1%
7442 1
< 0.1%
6156 1
< 0.1%
5068 1
< 0.1%
3433 1
< 0.1%
2814 1
< 0.1%
2713 1
< 0.1%
2096 1
< 0.1%
1910 1
< 0.1%

2019-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct330
Distinct (%)13.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean86.059952
Minimum0
Maximum31215
Zeros910
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:07.911409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327
95-th percentile260
Maximum31215
Range31215
Interquartile range (IQR)27

Descriptive statistics

Standard deviation821.33162
Coefficient of variation (CV)9.5437146
Kurtosis1005.6459
Mean86.059952
Median Absolute Deviation (MAD)3
Skewness29.57417
Sum215322
Variance674585.63
MonotonicityNot monotonic
2024-03-23T06:51:08.563856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 910
33.5%
1 181
 
6.7%
2 118
 
4.3%
3 90
 
3.3%
4 76
 
2.8%
5 60
 
2.2%
6 47
 
1.7%
9 43
 
1.6%
8 40
 
1.5%
7 38
 
1.4%
Other values (320) 899
33.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 910
33.5%
1 181
 
6.7%
2 118
 
4.3%
3 90
 
3.3%
4 76
 
2.8%
5 60
 
2.2%
6 47
 
1.7%
7 38
 
1.4%
8 40
 
1.5%
9 43
 
1.6%
ValueCountFrequency (%)
31215 1
< 0.1%
21122 1
< 0.1%
8647 1
< 0.1%
7655 1
< 0.1%
5696 1
< 0.1%
4638 1
< 0.1%
3416 1
< 0.1%
3037 1
< 0.1%
2554 1
< 0.1%
2468 1
< 0.1%

2019-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct362
Distinct (%)14.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean113.51479
Minimum0
Maximum42074
Zeros861
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:09.105735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q333
95-th percentile349.85
Maximum42074
Range42074
Interquartile range (IQR)33

Descriptive statistics

Standard deviation1089.4551
Coefficient of variation (CV)9.5974726
Kurtosis1036.0905
Mean113.51479
Median Absolute Deviation (MAD)3
Skewness29.947607
Sum284014
Variance1186912.3
MonotonicityNot monotonic
2024-03-23T06:51:10.182371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 861
31.7%
1 171
 
6.3%
2 127
 
4.7%
3 95
 
3.5%
4 72
 
2.6%
6 48
 
1.8%
7 42
 
1.5%
5 39
 
1.4%
10 35
 
1.3%
8 32
 
1.2%
Other values (352) 980
36.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 861
31.7%
1 171
 
6.3%
2 127
 
4.7%
3 95
 
3.5%
4 72
 
2.6%
5 39
 
1.4%
6 48
 
1.8%
7 42
 
1.5%
8 32
 
1.2%
9 31
 
1.1%
ValueCountFrequency (%)
42074 1
< 0.1%
26917 1
< 0.1%
12241 1
< 0.1%
10066 1
< 0.1%
7302 1
< 0.1%
5862 1
< 0.1%
4387 1
< 0.1%
3727 1
< 0.1%
3524 1
< 0.1%
3362 1
< 0.1%

2020-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct343
Distinct (%)13.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean98.672262
Minimum0
Maximum35981
Zeros886
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:10.811250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q331
95-th percentile299.9
Maximum35981
Range35981
Interquartile range (IQR)31

Descriptive statistics

Standard deviation947.09783
Coefficient of variation (CV)9.5984202
Kurtosis991.77458
Mean98.672262
Median Absolute Deviation (MAD)3
Skewness29.324933
Sum246878
Variance896994.31
MonotonicityNot monotonic
2024-03-23T06:51:11.407608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 886
32.6%
1 172
 
6.3%
2 105
 
3.9%
3 102
 
3.8%
4 74
 
2.7%
5 55
 
2.0%
6 53
 
1.9%
7 51
 
1.9%
9 36
 
1.3%
8 35
 
1.3%
Other values (333) 933
34.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 886
32.6%
1 172
 
6.3%
2 105
 
3.9%
3 102
 
3.8%
4 74
 
2.7%
5 55
 
2.0%
6 53
 
1.9%
7 51
 
1.9%
8 35
 
1.3%
9 36
 
1.3%
ValueCountFrequency (%)
35981 1
< 0.1%
23734 1
< 0.1%
11655 1
< 0.1%
8692 1
< 0.1%
7560 1
< 0.1%
4384 1
< 0.1%
3480 1
< 0.1%
3165 1
< 0.1%
3150 1
< 0.1%
2382 1
< 0.1%

2020-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct355
Distinct (%)14.2%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean114.29376
Minimum0
Maximum41343
Zeros858
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:11.957807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q334
95-th percentile349.75
Maximum41343
Range41343
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1115.9407
Coefficient of variation (CV)9.7637935
Kurtosis936.57311
Mean114.29376
Median Absolute Deviation (MAD)4
Skewness28.597469
Sum285963
Variance1245323.7
MonotonicityNot monotonic
2024-03-23T06:51:12.557384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 858
31.6%
1 172
 
6.3%
2 122
 
4.5%
3 77
 
2.8%
4 75
 
2.8%
5 74
 
2.7%
6 48
 
1.8%
7 48
 
1.8%
8 38
 
1.4%
11 31
 
1.1%
Other values (345) 959
35.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 858
31.6%
1 172
 
6.3%
2 122
 
4.5%
3 77
 
2.8%
4 75
 
2.8%
5 74
 
2.7%
6 48
 
1.8%
7 48
 
1.8%
8 38
 
1.4%
9 29
 
1.1%
ValueCountFrequency (%)
41343 1
< 0.1%
28771 1
< 0.1%
15140 1
< 0.1%
10737 1
< 0.1%
9302 1
< 0.1%
3918 1
< 0.1%
3800 1
< 0.1%
3720 1
< 0.1%
3412 1
< 0.1%
3254 1
< 0.1%

2020-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)13.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean101.9948
Minimum0
Maximum36248
Zeros867
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:13.064068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329
95-th percentile294.95
Maximum36248
Range36248
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1005.3727
Coefficient of variation (CV)9.8570969
Kurtosis905.84123
Mean101.9948
Median Absolute Deviation (MAD)3
Skewness28.266475
Sum255191
Variance1010774.2
MonotonicityNot monotonic
2024-03-23T06:51:13.692430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 867
31.9%
1 207
 
7.6%
2 120
 
4.4%
3 80
 
2.9%
4 67
 
2.5%
5 59
 
2.2%
6 55
 
2.0%
7 50
 
1.8%
10 35
 
1.3%
8 35
 
1.3%
Other values (327) 927
34.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 867
31.9%
1 207
 
7.6%
2 120
 
4.4%
3 80
 
2.9%
4 67
 
2.5%
5 59
 
2.2%
6 55
 
2.0%
7 50
 
1.8%
8 35
 
1.3%
9 32
 
1.2%
ValueCountFrequency (%)
36248 1
< 0.1%
27551 1
< 0.1%
13153 1
< 0.1%
9600 1
< 0.1%
8000 1
< 0.1%
3984 1
< 0.1%
3853 1
< 0.1%
3689 1
< 0.1%
3325 1
< 0.1%
3256 1
< 0.1%

2020-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct270
Distinct (%)10.8%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean62.448841
Minimum0
Maximum22127
Zeros919
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:14.380580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile195.9
Maximum22127
Range22127
Interquartile range (IQR)19

Descriptive statistics

Standard deviation604.78578
Coefficient of variation (CV)9.6844996
Kurtosis971.27685
Mean62.448841
Median Absolute Deviation (MAD)2
Skewness29.389692
Sum156247
Variance365765.84
MonotonicityNot monotonic
2024-03-23T06:51:15.065607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 919
33.8%
1 203
 
7.5%
2 139
 
5.1%
3 114
 
4.2%
5 73
 
2.7%
4 67
 
2.5%
6 50
 
1.8%
7 49
 
1.8%
9 36
 
1.3%
8 31
 
1.1%
Other values (260) 821
30.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 919
33.8%
1 203
 
7.5%
2 139
 
5.1%
3 114
 
4.2%
4 67
 
2.5%
5 73
 
2.7%
6 50
 
1.8%
7 49
 
1.8%
8 31
 
1.1%
9 36
 
1.3%
ValueCountFrequency (%)
22127 1
< 0.1%
17173 1
< 0.1%
6303 1
< 0.1%
4766 1
< 0.1%
4262 1
< 0.1%
3252 1
< 0.1%
1871 1
< 0.1%
1827 1
< 0.1%
1776 1
< 0.1%
1574 1
< 0.1%

2020-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct293
Distinct (%)11.7%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean73.752998
Minimum0
Maximum25261
Zeros907
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:15.561634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile230.9
Maximum25261
Range25261
Interquartile range (IQR)24

Descriptive statistics

Standard deviation708.01399
Coefficient of variation (CV)9.5997996
Kurtosis951.27565
Mean73.752998
Median Absolute Deviation (MAD)3
Skewness29.190268
Sum184530
Variance501283.82
MonotonicityNot monotonic
2024-03-23T06:51:16.111044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 907
33.4%
1 185
 
6.8%
2 124
 
4.6%
3 95
 
3.5%
4 93
 
3.4%
6 59
 
2.2%
5 48
 
1.8%
7 42
 
1.5%
9 38
 
1.4%
8 37
 
1.4%
Other values (283) 874
32.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 907
33.4%
1 185
 
6.8%
2 124
 
4.6%
3 95
 
3.5%
4 93
 
3.4%
5 48
 
1.8%
6 59
 
2.2%
7 42
 
1.5%
8 37
 
1.4%
9 38
 
1.4%
ValueCountFrequency (%)
25261 1
< 0.1%
20991 1
< 0.1%
7307 1
< 0.1%
5419 1
< 0.1%
5088 1
< 0.1%
3381 1
< 0.1%
2003 1
< 0.1%
1879 1
< 0.1%
1848 1
< 0.1%
1707 1
< 0.1%

2020-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct386
Distinct (%)15.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean132.53277
Minimum0
Maximum47176
Zeros856
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:16.547302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340
95-th percentile432.9
Maximum47176
Range47176
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1279.1467
Coefficient of variation (CV)9.6515504
Kurtosis946.83863
Mean132.53277
Median Absolute Deviation (MAD)4
Skewness28.841666
Sum331597
Variance1636216.4
MonotonicityNot monotonic
2024-03-23T06:51:17.078427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 856
31.5%
1 167
 
6.1%
2 107
 
3.9%
4 76
 
2.8%
3 72
 
2.6%
5 65
 
2.4%
6 53
 
1.9%
7 45
 
1.7%
8 36
 
1.3%
9 33
 
1.2%
Other values (376) 992
36.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 856
31.5%
1 167
 
6.1%
2 107
 
3.9%
3 72
 
2.6%
4 76
 
2.8%
5 65
 
2.4%
6 53
 
1.9%
7 45
 
1.7%
8 36
 
1.3%
9 33
 
1.2%
ValueCountFrequency (%)
47176 1
< 0.1%
34249 1
< 0.1%
16009 1
< 0.1%
11133 1
< 0.1%
10564 1
< 0.1%
5505 1
< 0.1%
4424 1
< 0.1%
3947 1
< 0.1%
3786 1
< 0.1%
3317 1
< 0.1%

2020-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct386
Distinct (%)15.4%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean131.73261
Minimum0
Maximum47489
Zeros806
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:17.644255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q339
95-th percentile413.95
Maximum47489
Range47489
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1275.7949
Coefficient of variation (CV)9.6847307
Kurtosis962.15689
Mean131.73261
Median Absolute Deviation (MAD)5
Skewness29.007808
Sum329595
Variance1627652.6
MonotonicityNot monotonic
2024-03-23T06:51:18.216872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 806
29.7%
1 180
 
6.6%
2 100
 
3.7%
3 81
 
3.0%
4 61
 
2.2%
5 60
 
2.2%
6 59
 
2.2%
7 41
 
1.5%
8 38
 
1.4%
10 38
 
1.4%
Other values (376) 1038
38.2%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 806
29.7%
1 180
 
6.6%
2 100
 
3.7%
3 81
 
3.0%
4 61
 
2.2%
5 60
 
2.2%
6 59
 
2.2%
7 41
 
1.5%
8 38
 
1.4%
9 33
 
1.2%
ValueCountFrequency (%)
47489 1
< 0.1%
33708 1
< 0.1%
15283 1
< 0.1%
10955 1
< 0.1%
9659 1
< 0.1%
6823 1
< 0.1%
5432 1
< 0.1%
5073 1
< 0.1%
4505 1
< 0.1%
3846 1
< 0.1%

2020-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct299
Distinct (%)12.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean75.716627
Minimum0
Maximum28267
Zeros894
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:18.941413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile231
Maximum28267
Range28267
Interquartile range (IQR)24

Descriptive statistics

Standard deviation745.8284
Coefficient of variation (CV)9.8502592
Kurtosis1008.0354
Mean75.716627
Median Absolute Deviation (MAD)3
Skewness29.766381
Sum189443
Variance556260
MonotonicityNot monotonic
2024-03-23T06:51:19.657682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 894
32.9%
1 198
 
7.3%
2 125
 
4.6%
3 106
 
3.9%
4 68
 
2.5%
5 60
 
2.2%
9 48
 
1.8%
6 46
 
1.7%
7 39
 
1.4%
8 36
 
1.3%
Other values (289) 882
32.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 894
32.9%
1 198
 
7.3%
2 125
 
4.6%
3 106
 
3.9%
4 68
 
2.5%
5 60
 
2.2%
6 46
 
1.7%
7 39
 
1.4%
8 36
 
1.3%
9 48
 
1.8%
ValueCountFrequency (%)
28267 1
< 0.1%
19394 1
< 0.1%
9396 1
< 0.1%
6162 1
< 0.1%
4836 1
< 0.1%
2894 1
< 0.1%
2655 1
< 0.1%
2202 1
< 0.1%
2186 1
< 0.1%
2130 1
< 0.1%

2020-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct290
Distinct (%)11.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean74.053957
Minimum0
Maximum27643
Zeros883
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:20.207302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323.75
95-th percentile226
Maximum27643
Range27643
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation723.01647
Coefficient of variation (CV)9.7633739
Kurtosis1025.6634
Mean74.053957
Median Absolute Deviation (MAD)3
Skewness29.96268
Sum185283
Variance522752.81
MonotonicityNot monotonic
2024-03-23T06:51:20.985129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 883
32.5%
1 222
 
8.2%
2 117
 
4.3%
3 88
 
3.2%
4 72
 
2.6%
6 63
 
2.3%
5 62
 
2.3%
7 45
 
1.7%
8 38
 
1.4%
10 32
 
1.2%
Other values (280) 880
32.4%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 883
32.5%
1 222
 
8.2%
2 117
 
4.3%
3 88
 
3.2%
4 72
 
2.6%
5 62
 
2.3%
6 63
 
2.3%
7 45
 
1.7%
8 38
 
1.4%
9 26
 
1.0%
ValueCountFrequency (%)
27643 1
< 0.1%
18548 1
< 0.1%
8513 1
< 0.1%
6178 1
< 0.1%
4917 1
< 0.1%
2860 1
< 0.1%
2667 1
< 0.1%
2258 1
< 0.1%
2067 1
< 0.1%
1999 1
< 0.1%

2020-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct316
Distinct (%)12.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean84.493605
Minimum0
Maximum31180
Zeros913
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:21.569488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile269.75
Maximum31180
Range31180
Interquartile range (IQR)24

Descriptive statistics

Standard deviation824.17871
Coefficient of variation (CV)9.7543324
Kurtosis1010.8317
Mean84.493605
Median Absolute Deviation (MAD)3
Skewness29.79379
Sum211403
Variance679270.55
MonotonicityNot monotonic
2024-03-23T06:51:22.169548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 913
33.6%
1 186
 
6.8%
2 109
 
4.0%
3 101
 
3.7%
4 73
 
2.7%
5 58
 
2.1%
6 57
 
2.1%
7 38
 
1.4%
9 35
 
1.3%
11 32
 
1.2%
Other values (306) 900
33.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 913
33.6%
1 186
 
6.8%
2 109
 
4.0%
3 101
 
3.7%
4 73
 
2.7%
5 58
 
2.1%
6 57
 
2.1%
7 38
 
1.4%
8 29
 
1.1%
9 35
 
1.3%
ValueCountFrequency (%)
31180 1
< 0.1%
21799 1
< 0.1%
8952 1
< 0.1%
6676 1
< 0.1%
6136 1
< 0.1%
3623 1
< 0.1%
3584 1
< 0.1%
2384 1
< 0.1%
2233 1
< 0.1%
2197 1
< 0.1%

2020-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct358
Distinct (%)14.3%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean114.6287
Minimum0
Maximum42920
Zeros839
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:22.919902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q331.75
95-th percentile364.95
Maximum42920
Range42920
Interquartile range (IQR)31.75

Descriptive statistics

Standard deviation1119.5846
Coefficient of variation (CV)9.7670529
Kurtosis1044.5876
Mean114.6287
Median Absolute Deviation (MAD)4
Skewness30.224947
Sum286801
Variance1253469.6
MonotonicityNot monotonic
2024-03-23T06:51:24.007989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 839
30.9%
1 194
 
7.1%
2 122
 
4.5%
3 85
 
3.1%
5 80
 
2.9%
4 51
 
1.9%
6 47
 
1.7%
8 45
 
1.7%
7 35
 
1.3%
10 32
 
1.2%
Other values (348) 972
35.8%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 839
30.9%
1 194
 
7.1%
2 122
 
4.5%
3 85
 
3.1%
4 51
 
1.9%
5 80
 
2.9%
6 47
 
1.7%
7 35
 
1.3%
8 45
 
1.7%
9 27
 
1.0%
ValueCountFrequency (%)
42920 1
< 0.1%
29336 1
< 0.1%
9786 1
< 0.1%
8860 1
< 0.1%
7383 1
< 0.1%
6009 1
< 0.1%
5184 1
< 0.1%
4256 1
< 0.1%
4138 1
< 0.1%
3285 1
< 0.1%

2020-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct390
Distinct (%)15.6%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean137.13549
Minimum0
Maximum49039
Zeros816
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:24.787827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q341.75
95-th percentile463.75
Maximum49039
Range49039
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation1322.1501
Coefficient of variation (CV)9.6411955
Kurtosis988.483
Mean137.13549
Median Absolute Deviation (MAD)5
Skewness29.602733
Sum343113
Variance1748080.8
MonotonicityNot monotonic
2024-03-23T06:51:25.366234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 816
30.0%
1 162
 
6.0%
2 105
 
3.9%
3 90
 
3.3%
5 65
 
2.4%
4 62
 
2.3%
8 45
 
1.7%
6 43
 
1.6%
7 43
 
1.6%
13 31
 
1.1%
Other values (380) 1040
38.3%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 816
30.0%
1 162
 
6.0%
2 105
 
3.9%
3 90
 
3.3%
4 62
 
2.3%
5 65
 
2.4%
6 43
 
1.6%
7 43
 
1.6%
8 45
 
1.7%
9 22
 
0.8%
ValueCountFrequency (%)
49039 1
< 0.1%
36668 1
< 0.1%
14156 1
< 0.1%
10491 1
< 0.1%
9238 1
< 0.1%
6215 1
< 0.1%
4311 1
< 0.1%
4006 1
< 0.1%
3410 1
< 0.1%
3277 1
< 0.1%

2021-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct314
Distinct (%)12.5%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean82.699041
Minimum0
Maximum28122
Zeros902
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:26.048657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile252
Maximum28122
Range28122
Interquartile range (IQR)26

Descriptive statistics

Standard deviation804.21174
Coefficient of variation (CV)9.7245595
Kurtosis914.7905
Mean82.699041
Median Absolute Deviation (MAD)3
Skewness28.653207
Sum206913
Variance646756.52
MonotonicityNot monotonic
2024-03-23T06:51:26.561160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 902
33.2%
1 203
 
7.5%
2 119
 
4.4%
3 98
 
3.6%
4 75
 
2.8%
5 55
 
2.0%
6 39
 
1.4%
10 37
 
1.4%
8 37
 
1.4%
7 36
 
1.3%
Other values (304) 901
33.1%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 902
33.2%
1 203
 
7.5%
2 119
 
4.4%
3 98
 
3.6%
4 75
 
2.8%
5 55
 
2.0%
6 39
 
1.4%
7 36
 
1.3%
8 37
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
28122 1
< 0.1%
24021 1
< 0.1%
9214 1
< 0.1%
7672 1
< 0.1%
5157 1
< 0.1%
4223 1
< 0.1%
2370 1
< 0.1%
2288 1
< 0.1%
2040 1
< 0.1%
2017 1
< 0.1%

2021-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct301
Distinct (%)12.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean77.151878
Minimum0
Maximum25823
Zeros898
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:27.490163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile236.95
Maximum25823
Range25823
Interquartile range (IQR)24

Descriptive statistics

Standard deviation752.43948
Coefficient of variation (CV)9.7527047
Kurtosis901.11149
Mean77.151878
Median Absolute Deviation (MAD)3
Skewness28.473712
Sum193034
Variance566165.18
MonotonicityNot monotonic
2024-03-23T06:51:28.934997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 898
33.0%
1 184
 
6.8%
2 141
 
5.2%
3 94
 
3.5%
4 75
 
2.8%
5 60
 
2.2%
6 47
 
1.7%
8 42
 
1.5%
7 37
 
1.4%
10 34
 
1.3%
Other values (291) 890
32.7%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 898
33.0%
1 184
 
6.8%
2 141
 
5.2%
3 94
 
3.5%
4 75
 
2.8%
5 60
 
2.2%
6 47
 
1.7%
7 37
 
1.4%
8 42
 
1.5%
9 29
 
1.1%
ValueCountFrequency (%)
25823 1
< 0.1%
22968 1
< 0.1%
8718 1
< 0.1%
7334 1
< 0.1%
4650 1
< 0.1%
4053 1
< 0.1%
2133 1
< 0.1%
2065 1
< 0.1%
1912 1
< 0.1%
1878 1
< 0.1%

2021-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct325
Distinct (%)13.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean89.728617
Minimum0
Maximum29166
Zeros906
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:29.607594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile278.6
Maximum29166
Range29166
Interquartile range (IQR)26

Descriptive statistics

Standard deviation867.74162
Coefficient of variation (CV)9.6707344
Kurtosis926.04378
Mean89.728617
Median Absolute Deviation (MAD)3
Skewness28.933039
Sum224501
Variance752975.52
MonotonicityNot monotonic
2024-03-23T06:51:30.173661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 906
33.3%
1 188
 
6.9%
2 104
 
3.8%
3 95
 
3.5%
4 75
 
2.8%
5 61
 
2.2%
6 50
 
1.8%
8 37
 
1.4%
9 37
 
1.4%
7 36
 
1.3%
Other values (315) 913
33.6%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 906
33.3%
1 188
 
6.9%
2 104
 
3.8%
3 95
 
3.5%
4 75
 
2.8%
5 61
 
2.2%
6 50
 
1.8%
7 36
 
1.3%
8 37
 
1.4%
9 37
 
1.4%
ValueCountFrequency (%)
29166 1
< 0.1%
27801 1
< 0.1%
8509 1
< 0.1%
7867 1
< 0.1%
4702 1
< 0.1%
4619 1
< 0.1%
2971 1
< 0.1%
2469 1
< 0.1%
2267 1
< 0.1%
1904 1
< 0.1%

2021-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct302
Distinct (%)12.1%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean75.73741
Minimum0
Maximum24110
Zeros900
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:30.891896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile236.95
Maximum24110
Range24110
Interquartile range (IQR)23

Descriptive statistics

Standard deviation730.52242
Coefficient of variation (CV)9.6454634
Kurtosis939.04705
Mean75.73741
Median Absolute Deviation (MAD)3
Skewness29.168211
Sum189495
Variance533663
MonotonicityNot monotonic
2024-03-23T06:51:31.366773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 900
33.1%
1 206
 
7.6%
2 123
 
4.5%
3 78
 
2.9%
4 71
 
2.6%
5 56
 
2.1%
9 54
 
2.0%
6 49
 
1.8%
8 42
 
1.5%
7 41
 
1.5%
Other values (292) 882
32.5%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 900
33.1%
1 206
 
7.6%
2 123
 
4.5%
3 78
 
2.9%
4 71
 
2.6%
5 56
 
2.1%
6 49
 
1.8%
7 41
 
1.5%
8 42
 
1.5%
9 54
 
2.0%
ValueCountFrequency (%)
24110 1
< 0.1%
24079 1
< 0.1%
6464 1
< 0.1%
6185 1
< 0.1%
4543 1
< 0.1%
3710 1
< 0.1%
2474 1
< 0.1%
2266 1
< 0.1%
1829 1
< 0.1%
1818 1
< 0.1%

2021-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct301
Distinct (%)12.0%
Missing216
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean78.857314
Minimum0
Maximum25559
Zeros898
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:31.966780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile235
Maximum25559
Range25559
Interquartile range (IQR)25

Descriptive statistics

Standard deviation759.44706
Coefficient of variation (CV)9.6306483
Kurtosis940.69624
Mean78.857314
Median Absolute Deviation (MAD)3
Skewness29.183216
Sum197301
Variance576759.84
MonotonicityNot monotonic
2024-03-23T06:51:32.699183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 898
33.0%
1 182
 
6.7%
2 132
 
4.9%
3 89
 
3.3%
5 59
 
2.2%
4 55
 
2.0%
9 47
 
1.7%
6 44
 
1.6%
7 39
 
1.4%
8 35
 
1.3%
Other values (291) 922
33.9%
(Missing) 216
 
7.9%
ValueCountFrequency (%)
0 898
33.0%
1 182
 
6.7%
2 132
 
4.9%
3 89
 
3.3%
4 55
 
2.0%
5 59
 
2.2%
6 44
 
1.6%
7 39
 
1.4%
8 35
 
1.3%
9 47
 
1.7%
ValueCountFrequency (%)
25559 1
< 0.1%
24530 1
< 0.1%
6806 1
< 0.1%
6207 1
< 0.1%
4530 1
< 0.1%
4205 1
< 0.1%
2512 1
< 0.1%
2297 1
< 0.1%
2108 1
< 0.1%
2071 1
< 0.1%

2021-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct305
Distinct (%)12.1%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean73.810434
Minimum0
Maximum24816
Zeros941
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:33.226253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile226
Maximum24816
Range24816
Interquartile range (IQR)20

Descriptive statistics

Standard deviation726.29335
Coefficient of variation (CV)9.8399821
Kurtosis957.52201
Mean73.810434
Median Absolute Deviation (MAD)2
Skewness29.484232
Sum185338
Variance527502.03
MonotonicityNot monotonic
2024-03-23T06:51:33.836293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 941
34.6%
1 202
 
7.4%
2 122
 
4.5%
3 96
 
3.5%
4 68
 
2.5%
5 60
 
2.2%
6 49
 
1.8%
7 42
 
1.5%
9 40
 
1.5%
11 33
 
1.2%
Other values (295) 858
31.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 941
34.6%
1 202
 
7.4%
2 122
 
4.5%
3 96
 
3.5%
4 68
 
2.5%
5 60
 
2.2%
6 49
 
1.8%
7 42
 
1.5%
8 30
 
1.1%
9 40
 
1.5%
ValueCountFrequency (%)
24816 1
< 0.1%
23299 1
< 0.1%
6903 1
< 0.1%
5458 1
< 0.1%
3906 1
< 0.1%
3770 1
< 0.1%
2391 1
< 0.1%
1940 1
< 0.1%
1890 1
< 0.1%
1868 1
< 0.1%

2021-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct306
Distinct (%)12.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean75.759458
Minimum0
Maximum25880
Zeros951
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:34.290898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile236
Maximum25880
Range25880
Interquartile range (IQR)22

Descriptive statistics

Standard deviation743.55772
Coefficient of variation (CV)9.814718
Kurtosis951.32335
Mean75.759458
Median Absolute Deviation (MAD)2
Skewness29.326907
Sum190232
Variance552878.08
MonotonicityNot monotonic
2024-03-23T06:51:34.897895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 951
35.0%
1 188
 
6.9%
2 129
 
4.7%
4 85
 
3.1%
3 84
 
3.1%
5 64
 
2.4%
8 44
 
1.6%
7 43
 
1.6%
6 40
 
1.5%
10 31
 
1.1%
Other values (296) 852
31.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 951
35.0%
1 188
 
6.9%
2 129
 
4.7%
3 84
 
3.1%
4 85
 
3.1%
5 64
 
2.4%
6 40
 
1.5%
7 43
 
1.6%
8 44
 
1.6%
9 23
 
0.8%
ValueCountFrequency (%)
25880 1
< 0.1%
23126 1
< 0.1%
7432 1
< 0.1%
6002 1
< 0.1%
4308 1
< 0.1%
3782 1
< 0.1%
2459 1
< 0.1%
1882 1
< 0.1%
1874 1
< 0.1%
1814 1
< 0.1%

2021-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct308
Distinct (%)12.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean78.198726
Minimum0
Maximum26929
Zeros945
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:35.480755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile244.5
Maximum26929
Range26929
Interquartile range (IQR)21

Descriptive statistics

Standard deviation765.46951
Coefficient of variation (CV)9.7887721
Kurtosis961.87125
Mean78.198726
Median Absolute Deviation (MAD)3
Skewness29.47393
Sum196357
Variance585943.56
MonotonicityNot monotonic
2024-03-23T06:51:35.979452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 945
34.8%
1 182
 
6.7%
2 125
 
4.6%
3 87
 
3.2%
4 79
 
2.9%
5 67
 
2.5%
6 51
 
1.9%
8 39
 
1.4%
9 36
 
1.3%
7 36
 
1.3%
Other values (298) 864
31.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 945
34.8%
1 182
 
6.7%
2 125
 
4.6%
3 87
 
3.2%
4 79
 
2.9%
5 67
 
2.5%
6 51
 
1.9%
7 36
 
1.3%
8 39
 
1.4%
9 36
 
1.3%
ValueCountFrequency (%)
26929 1
< 0.1%
23576 1
< 0.1%
7574 1
< 0.1%
5655 1
< 0.1%
4248 1
< 0.1%
4093 1
< 0.1%
2842 1
< 0.1%
2129 1
< 0.1%
1893 1
< 0.1%
1853 1
< 0.1%

2021-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct285
Distinct (%)11.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean70.682198
Minimum0
Maximum23716
Zeros985
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:36.647029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile213.5
Maximum23716
Range23716
Interquartile range (IQR)19

Descriptive statistics

Standard deviation684.78095
Coefficient of variation (CV)9.6881671
Kurtosis951.20335
Mean70.682198
Median Absolute Deviation (MAD)2
Skewness29.292226
Sum177483
Variance468924.94
MonotonicityNot monotonic
2024-03-23T06:51:37.145124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 985
36.2%
1 185
 
6.8%
2 119
 
4.4%
3 91
 
3.3%
5 73
 
2.7%
4 70
 
2.6%
6 55
 
2.0%
8 39
 
1.4%
7 39
 
1.4%
9 34
 
1.3%
Other values (275) 821
30.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 985
36.2%
1 185
 
6.8%
2 119
 
4.4%
3 91
 
3.3%
4 70
 
2.6%
5 73
 
2.7%
6 55
 
2.0%
7 39
 
1.4%
8 39
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
23716 1
< 0.1%
21481 1
< 0.1%
6207 1
< 0.1%
5062 1
< 0.1%
4056 1
< 0.1%
4009 1
< 0.1%
2835 1
< 0.1%
2273 1
< 0.1%
1791 1
< 0.1%
1577 1
< 0.1%

2021-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct275
Distinct (%)11.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean62.512545
Minimum0
Maximum20607
Zeros989
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:37.711392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317.5
95-th percentile188.5
Maximum20607
Range20607
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation605.87537
Coefficient of variation (CV)9.6920605
Kurtosis974.72846
Mean62.512545
Median Absolute Deviation (MAD)2
Skewness29.75509
Sum156969
Variance367084.96
MonotonicityNot monotonic
2024-03-23T06:51:38.174807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 989
36.4%
1 194
 
7.1%
2 111
 
4.1%
3 91
 
3.3%
4 85
 
3.1%
5 65
 
2.4%
6 50
 
1.8%
7 38
 
1.4%
8 37
 
1.4%
9 34
 
1.3%
Other values (265) 817
30.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 989
36.4%
1 194
 
7.1%
2 111
 
4.1%
3 91
 
3.3%
4 85
 
3.1%
5 65
 
2.4%
6 50
 
1.8%
7 38
 
1.4%
8 37
 
1.4%
9 34
 
1.3%
ValueCountFrequency (%)
20607 1
< 0.1%
19770 1
< 0.1%
4515 1
< 0.1%
3767 1
< 0.1%
3331 1
< 0.1%
3234 1
< 0.1%
2758 1
< 0.1%
2071 1
< 0.1%
2041 1
< 0.1%
1442 1
< 0.1%

2021-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct250
Distinct (%)10.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean52.805655
Minimum0
Maximum18013
Zeros1016
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:38.674906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile163
Maximum18013
Range18013
Interquartile range (IQR)15

Descriptive statistics

Standard deviation507.08005
Coefficient of variation (CV)9.6027603
Kurtosis998.20297
Mean52.805655
Median Absolute Deviation (MAD)2
Skewness30.073724
Sum132595
Variance257130.17
MonotonicityNot monotonic
2024-03-23T06:51:39.297950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1016
37.4%
1 217
 
8.0%
2 126
 
4.6%
3 78
 
2.9%
4 75
 
2.8%
5 57
 
2.1%
6 50
 
1.8%
7 41
 
1.5%
8 40
 
1.5%
16 37
 
1.4%
Other values (240) 774
28.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1016
37.4%
1 217
 
8.0%
2 126
 
4.6%
3 78
 
2.9%
4 75
 
2.8%
5 57
 
2.1%
6 50
 
1.8%
7 41
 
1.5%
8 40
 
1.5%
9 32
 
1.2%
ValueCountFrequency (%)
18013 1
< 0.1%
15789 1
< 0.1%
3464 1
< 0.1%
3267 1
< 0.1%
2623 1
< 0.1%
2571 1
< 0.1%
2470 1
< 0.1%
1620 1
< 0.1%
1315 1
< 0.1%
1244 1
< 0.1%

2021-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct216
Distinct (%)8.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean38.808045
Minimum0
Maximum12799
Zeros1022
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:39.769520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile119
Maximum12799
Range12799
Interquartile range (IQR)12

Descriptive statistics

Standard deviation371.61098
Coefficient of variation (CV)9.5756173
Kurtosis978.20643
Mean38.808045
Median Absolute Deviation (MAD)1
Skewness29.797913
Sum97447
Variance138094.72
MonotonicityNot monotonic
2024-03-23T06:51:40.386994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1022
37.6%
1 253
 
9.3%
2 137
 
5.0%
4 90
 
3.3%
3 84
 
3.1%
5 68
 
2.5%
6 48
 
1.8%
7 39
 
1.4%
8 36
 
1.3%
9 31
 
1.1%
Other values (206) 703
25.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1022
37.6%
1 253
 
9.3%
2 137
 
5.0%
3 84
 
3.1%
4 90
 
3.3%
5 68
 
2.5%
6 48
 
1.8%
7 39
 
1.4%
8 36
 
1.3%
9 31
 
1.1%
ValueCountFrequency (%)
12799 1
< 0.1%
11963 1
< 0.1%
2680 1
< 0.1%
2284 1
< 0.1%
2268 1
< 0.1%
1822 1
< 0.1%
1776 1
< 0.1%
1286 1
< 0.1%
1088 1
< 0.1%
963 1
< 0.1%

2022-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct191
Distinct (%)7.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean31.107527
Minimum0
Maximum9957
Zeros1093
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:40.924374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile97
Maximum9957
Range9957
Interquartile range (IQR)9

Descriptive statistics

Standard deviation297.51399
Coefficient of variation (CV)9.5640514
Kurtosis972.59464
Mean31.107527
Median Absolute Deviation (MAD)1
Skewness29.704968
Sum78111
Variance88514.572
MonotonicityNot monotonic
2024-03-23T06:51:41.597133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1093
40.2%
1 230
 
8.5%
2 151
 
5.6%
3 103
 
3.8%
4 75
 
2.8%
6 62
 
2.3%
5 60
 
2.2%
8 48
 
1.8%
7 43
 
1.6%
9 29
 
1.1%
Other values (181) 617
22.7%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1093
40.2%
1 230
 
8.5%
2 151
 
5.6%
3 103
 
3.8%
4 75
 
2.8%
5 60
 
2.2%
6 62
 
2.3%
7 43
 
1.6%
8 48
 
1.8%
9 29
 
1.1%
ValueCountFrequency (%)
9957 1
< 0.1%
9874 1
< 0.1%
2055 1
< 0.1%
1730 1
< 0.1%
1709 1
< 0.1%
1591 1
< 0.1%
1398 1
< 0.1%
1077 1
< 0.1%
836 1
< 0.1%
797 1
< 0.1%

2022-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct199
Distinct (%)7.9%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean33.401035
Minimum0
Maximum11095
Zeros1108
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:42.212259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile97.5
Maximum11095
Range11095
Interquartile range (IQR)10

Descriptive statistics

Standard deviation323.99544
Coefficient of variation (CV)9.7001615
Kurtosis980.97685
Mean33.401035
Median Absolute Deviation (MAD)1
Skewness29.856589
Sum83870
Variance104973.04
MonotonicityNot monotonic
2024-03-23T06:51:42.654724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1108
40.8%
1 229
 
8.4%
2 128
 
4.7%
3 112
 
4.1%
4 69
 
2.5%
5 54
 
2.0%
6 49
 
1.8%
8 47
 
1.7%
7 44
 
1.6%
10 34
 
1.3%
Other values (189) 637
23.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1108
40.8%
1 229
 
8.4%
2 128
 
4.7%
3 112
 
4.1%
4 69
 
2.5%
5 54
 
2.0%
6 49
 
1.8%
7 44
 
1.6%
8 47
 
1.7%
9 31
 
1.1%
ValueCountFrequency (%)
11095 1
< 0.1%
10524 1
< 0.1%
2403 1
< 0.1%
1987 1
< 0.1%
1626 1
< 0.1%
1532 1
< 0.1%
1351 1
< 0.1%
1251 1
< 0.1%
941 1
< 0.1%
940 1
< 0.1%

2022-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct227
Distinct (%)9.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.682198
Minimum0
Maximum13919
Zeros1056
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:43.127904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile123.5
Maximum13919
Range13919
Interquartile range (IQR)12

Descriptive statistics

Standard deviation400.6616
Coefficient of variation (CV)9.6122954
Kurtosis977.98928
Mean41.682198
Median Absolute Deviation (MAD)1
Skewness29.761216
Sum104664
Variance160529.72
MonotonicityNot monotonic
2024-03-23T06:51:43.696554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1056
38.9%
1 219
 
8.1%
2 131
 
4.8%
3 95
 
3.5%
4 84
 
3.1%
5 55
 
2.0%
6 49
 
1.8%
7 41
 
1.5%
9 38
 
1.4%
8 38
 
1.4%
Other values (217) 705
25.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1056
38.9%
1 219
 
8.1%
2 131
 
4.8%
3 95
 
3.5%
4 84
 
3.1%
5 55
 
2.0%
6 49
 
1.8%
7 41
 
1.5%
8 38
 
1.4%
9 38
 
1.4%
ValueCountFrequency (%)
13919 1
< 0.1%
12745 1
< 0.1%
2966 1
< 0.1%
2575 1
< 0.1%
2311 1
< 0.1%
1770 1
< 0.1%
1654 1
< 0.1%
1545 1
< 0.1%
1284 1
< 0.1%
1079 1
< 0.1%

2022-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct234
Distinct (%)9.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean45.746316
Minimum0
Maximum15475
Zeros1024
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:44.640659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile131
Maximum15475
Range15475
Interquartile range (IQR)13

Descriptive statistics

Standard deviation439.06643
Coefficient of variation (CV)9.5978533
Kurtosis976.26864
Mean45.746316
Median Absolute Deviation (MAD)2
Skewness29.677801
Sum114869
Variance192779.33
MonotonicityNot monotonic
2024-03-23T06:51:45.299028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1024
37.7%
1 215
 
7.9%
2 136
 
5.0%
3 95
 
3.5%
4 68
 
2.5%
5 64
 
2.4%
7 59
 
2.2%
6 50
 
1.8%
8 46
 
1.7%
9 35
 
1.3%
Other values (224) 719
26.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1024
37.7%
1 215
 
7.9%
2 136
 
5.0%
3 95
 
3.5%
4 68
 
2.5%
5 64
 
2.4%
6 50
 
1.8%
7 59
 
2.2%
8 46
 
1.7%
9 35
 
1.3%
ValueCountFrequency (%)
15475 1
< 0.1%
13641 1
< 0.1%
3327 1
< 0.1%
3103 1
< 0.1%
2609 1
< 0.1%
1923 1
< 0.1%
1865 1
< 0.1%
1818 1
< 0.1%
1355 1
< 0.1%
1236 1
< 0.1%

2022-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct243
Distinct (%)9.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean47.354839
Minimum0
Maximum15202
Zeros974
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:45.857227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile138.5
Maximum15202
Range15202
Interquartile range (IQR)16

Descriptive statistics

Standard deviation444.22545
Coefficient of variation (CV)9.3807826
Kurtosis959.25125
Mean47.354839
Median Absolute Deviation (MAD)2
Skewness29.444154
Sum118908
Variance197336.25
MonotonicityNot monotonic
2024-03-23T06:51:46.275054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 974
35.8%
1 209
 
7.7%
2 142
 
5.2%
3 115
 
4.2%
4 74
 
2.7%
5 68
 
2.5%
6 46
 
1.7%
7 40
 
1.5%
8 39
 
1.4%
10 31
 
1.1%
Other values (233) 773
28.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 974
35.8%
1 209
 
7.7%
2 142
 
5.2%
3 115
 
4.2%
4 74
 
2.7%
5 68
 
2.5%
6 46
 
1.7%
7 40
 
1.5%
8 39
 
1.4%
9 21
 
0.8%
ValueCountFrequency (%)
15202 1
< 0.1%
14254 1
< 0.1%
3760 1
< 0.1%
2875 1
< 0.1%
2659 1
< 0.1%
2167 1
< 0.1%
1790 1
< 0.1%
1622 1
< 0.1%
1157 1
< 0.1%
1125 1
< 0.1%

2022-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct209
Distinct (%)8.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean35.82955
Minimum0
Maximum11719
Zeros1040
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:46.897596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile111.5
Maximum11719
Range11719
Interquartile range (IQR)12

Descriptive statistics

Standard deviation340.60789
Coefficient of variation (CV)9.5063402
Kurtosis970.18201
Mean35.82955
Median Absolute Deviation (MAD)1
Skewness29.648293
Sum89968
Variance116013.74
MonotonicityNot monotonic
2024-03-23T06:51:47.570214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1040
38.3%
1 240
 
8.8%
2 140
 
5.2%
3 94
 
3.5%
4 83
 
3.1%
5 60
 
2.2%
7 51
 
1.9%
6 45
 
1.7%
8 42
 
1.5%
12 33
 
1.2%
Other values (199) 683
25.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1040
38.3%
1 240
 
8.8%
2 140
 
5.2%
3 94
 
3.5%
4 83
 
3.1%
5 60
 
2.2%
6 45
 
1.7%
7 51
 
1.9%
8 42
 
1.5%
9 30
 
1.1%
ValueCountFrequency (%)
11719 1
< 0.1%
10925 1
< 0.1%
2751 1
< 0.1%
2137 1
< 0.1%
2130 1
< 0.1%
1442 1
< 0.1%
1404 1
< 0.1%
1235 1
< 0.1%
914 1
< 0.1%
872 1
< 0.1%

2022-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct186
Distinct (%)7.4%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean27.719634
Minimum0
Maximum9347
Zeros1120
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:48.116842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile85
Maximum9347
Range9347
Interquartile range (IQR)8

Descriptive statistics

Standard deviation266.73298
Coefficient of variation (CV)9.6225289
Kurtosis966.70631
Mean27.719634
Median Absolute Deviation (MAD)1
Skewness29.538694
Sum69604
Variance71146.481
MonotonicityNot monotonic
2024-03-23T06:51:48.717842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1120
41.2%
1 244
 
9.0%
2 141
 
5.2%
3 95
 
3.5%
4 70
 
2.6%
5 63
 
2.3%
6 54
 
2.0%
7 53
 
1.9%
8 44
 
1.6%
9 34
 
1.3%
Other values (176) 593
21.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1120
41.2%
1 244
 
9.0%
2 141
 
5.2%
3 95
 
3.5%
4 70
 
2.6%
5 63
 
2.3%
6 54
 
2.0%
7 53
 
1.9%
8 44
 
1.6%
9 34
 
1.3%
ValueCountFrequency (%)
9347 1
< 0.1%
8306 1
< 0.1%
2237 1
< 0.1%
2090 1
< 0.1%
1543 1
< 0.1%
1069 1
< 0.1%
1016 1
< 0.1%
989 1
< 0.1%
700 1
< 0.1%
667 1
< 0.1%

2022-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct177
Distinct (%)7.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean24.814018
Minimum0
Maximum8082
Zeros1153
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:49.315645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37.5
95-th percentile80.5
Maximum8082
Range8082
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation237.2395
Coefficient of variation (CV)9.5607046
Kurtosis969.94952
Mean24.814018
Median Absolute Deviation (MAD)1
Skewness29.669444
Sum62308
Variance56282.58
MonotonicityNot monotonic
2024-03-23T06:51:50.020423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1153
42.4%
1 257
 
9.5%
2 159
 
5.8%
3 93
 
3.4%
4 64
 
2.4%
5 60
 
2.2%
7 52
 
1.9%
6 45
 
1.7%
8 40
 
1.5%
10 28
 
1.0%
Other values (167) 560
20.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1153
42.4%
1 257
 
9.5%
2 159
 
5.8%
3 93
 
3.4%
4 64
 
2.4%
5 60
 
2.2%
6 45
 
1.7%
7 52
 
1.9%
8 40
 
1.5%
9 24
 
0.9%
ValueCountFrequency (%)
8082 1
< 0.1%
7704 1
< 0.1%
1968 1
< 0.1%
1501 1
< 0.1%
1395 1
< 0.1%
994 1
< 0.1%
928 1
< 0.1%
811 1
< 0.1%
730 1
< 0.1%
675 1
< 0.1%

2022-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct167
Distinct (%)6.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean22.853445
Minimum0
Maximum7509
Zeros1140
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:50.859783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile73
Maximum7509
Range7509
Interquartile range (IQR)7

Descriptive statistics

Standard deviation218.36824
Coefficient of variation (CV)9.5551565
Kurtosis977.91032
Mean22.853445
Median Absolute Deviation (MAD)1
Skewness29.807061
Sum57385
Variance47684.689
MonotonicityNot monotonic
2024-03-23T06:51:51.347475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1140
41.9%
1 264
 
9.7%
2 148
 
5.4%
3 100
 
3.7%
4 85
 
3.1%
5 58
 
2.1%
6 49
 
1.8%
8 45
 
1.7%
7 42
 
1.5%
9 35
 
1.3%
Other values (157) 545
20.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1140
41.9%
1 264
 
9.7%
2 148
 
5.4%
3 100
 
3.7%
4 85
 
3.1%
5 58
 
2.1%
6 49
 
1.8%
7 42
 
1.5%
8 45
 
1.7%
9 35
 
1.3%
ValueCountFrequency (%)
7509 1
< 0.1%
7042 1
< 0.1%
1746 1
< 0.1%
1414 1
< 0.1%
1239 1
< 0.1%
901 1
< 0.1%
865 1
< 0.1%
719 1
< 0.1%
606 1
< 0.1%
600 1
< 0.1%

2022-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct164
Distinct (%)6.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean23.53405
Minimum0
Maximum8024
Zeros1164
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:51.923326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile76
Maximum8024
Range8024
Interquartile range (IQR)7

Descriptive statistics

Standard deviation228.93803
Coefficient of variation (CV)9.7279486
Kurtosis997.91755
Mean23.53405
Median Absolute Deviation (MAD)1
Skewness30.138386
Sum59094
Variance52412.622
MonotonicityNot monotonic
2024-03-23T06:51:52.633348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1164
42.8%
1 256
 
9.4%
2 128
 
4.7%
3 120
 
4.4%
4 75
 
2.8%
5 64
 
2.4%
6 57
 
2.1%
8 38
 
1.4%
7 36
 
1.3%
9 29
 
1.1%
Other values (154) 544
20.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1164
42.8%
1 256
 
9.4%
2 128
 
4.7%
3 120
 
4.4%
4 75
 
2.8%
5 64
 
2.4%
6 57
 
2.1%
7 36
 
1.3%
8 38
 
1.4%
9 29
 
1.1%
ValueCountFrequency (%)
8024 1
< 0.1%
7280 1
< 0.1%
1577 1
< 0.1%
1542 1
< 0.1%
1133 1
< 0.1%
918 1
< 0.1%
910 1
< 0.1%
790 1
< 0.1%
699 1
< 0.1%
646 1
< 0.1%

2022-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct166
Distinct (%)6.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean23.136201
Minimum0
Maximum8389
Zeros1206
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:53.281906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile70.5
Maximum8389
Range8389
Interquartile range (IQR)7

Descriptive statistics

Standard deviation228.94696
Coefficient of variation (CV)9.895616
Kurtosis998.84382
Mean23.136201
Median Absolute Deviation (MAD)1
Skewness29.921242
Sum58095
Variance52416.71
MonotonicityNot monotonic
2024-03-23T06:51:53.704368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1206
44.4%
1 218
 
8.0%
2 153
 
5.6%
3 113
 
4.2%
4 64
 
2.4%
5 63
 
2.3%
6 59
 
2.2%
7 44
 
1.6%
8 34
 
1.3%
11 28
 
1.0%
Other values (156) 529
19.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1206
44.4%
1 218
 
8.0%
2 153
 
5.6%
3 113
 
4.2%
4 64
 
2.4%
5 63
 
2.3%
6 59
 
2.2%
7 44
 
1.6%
8 34
 
1.3%
9 24
 
0.9%
ValueCountFrequency (%)
8389 1
< 0.1%
6676 1
< 0.1%
2230 1
< 0.1%
1658 1
< 0.1%
1134 1
< 0.1%
989 1
< 0.1%
900 1
< 0.1%
833 1
< 0.1%
694 1
< 0.1%
607 1
< 0.1%

2022-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct167
Distinct (%)6.7%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean23.149343
Minimum0
Maximum8519
Zeros1158
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:54.436505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile68.5
Maximum8519
Range8519
Interquartile range (IQR)7

Descriptive statistics

Standard deviation223.57597
Coefficient of variation (CV)9.6579832
Kurtosis1063.4901
Mean23.149343
Median Absolute Deviation (MAD)1
Skewness30.752852
Sum58128
Variance49986.212
MonotonicityNot monotonic
2024-03-23T06:51:55.133284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1158
42.6%
1 267
 
9.8%
2 133
 
4.9%
3 111
 
4.1%
4 80
 
2.9%
5 60
 
2.2%
6 51
 
1.9%
7 48
 
1.8%
10 29
 
1.1%
13 28
 
1.0%
Other values (157) 546
20.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1158
42.6%
1 267
 
9.8%
2 133
 
4.9%
3 111
 
4.1%
4 80
 
2.9%
5 60
 
2.2%
6 51
 
1.9%
7 48
 
1.8%
8 28
 
1.0%
9 24
 
0.9%
ValueCountFrequency (%)
8519 1
< 0.1%
6186 1
< 0.1%
1820 1
< 0.1%
1580 1
< 0.1%
1102 1
< 0.1%
946 1
< 0.1%
938 1
< 0.1%
720 1
< 0.1%
596 1
< 0.1%
577 1
< 0.1%

2023-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct166
Distinct (%)6.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean22.775787
Minimum0
Maximum8282
Zeros1184
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:56.011390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile69
Maximum8282
Range8282
Interquartile range (IQR)7

Descriptive statistics

Standard deviation220.33934
Coefficient of variation (CV)9.67428
Kurtosis1038.7584
Mean22.775787
Median Absolute Deviation (MAD)1
Skewness30.45436
Sum57190
Variance48549.423
MonotonicityNot monotonic
2024-03-23T06:51:56.924476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1184
43.6%
1 254
 
9.3%
2 151
 
5.6%
3 94
 
3.5%
4 79
 
2.9%
6 53
 
1.9%
5 45
 
1.7%
7 40
 
1.5%
9 28
 
1.0%
10 27
 
1.0%
Other values (156) 556
20.5%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1184
43.6%
1 254
 
9.3%
2 151
 
5.6%
3 94
 
3.5%
4 79
 
2.9%
5 45
 
1.7%
6 53
 
1.9%
7 40
 
1.5%
8 26
 
1.0%
9 28
 
1.0%
ValueCountFrequency (%)
8282 1
< 0.1%
6215 1
< 0.1%
2015 1
< 0.1%
1540 1
< 0.1%
1228 1
< 0.1%
972 1
< 0.1%
767 1
< 0.1%
674 1
< 0.1%
548 1
< 0.1%
531 1
< 0.1%

2023-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct216
Distinct (%)8.6%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean40.07965
Minimum0
Maximum15445
Zeros1076
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:57.755982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile117
Maximum15445
Range15445
Interquartile range (IQR)11

Descriptive statistics

Standard deviation402.31775
Coefficient of variation (CV)10.037956
Kurtosis1074.2687
Mean40.07965
Median Absolute Deviation (MAD)1
Skewness30.939969
Sum100640
Variance161859.57
MonotonicityNot monotonic
2024-03-23T06:51:58.416003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1076
39.6%
1 234
 
8.6%
2 135
 
5.0%
3 94
 
3.5%
4 80
 
2.9%
6 63
 
2.3%
5 51
 
1.9%
8 43
 
1.6%
7 39
 
1.4%
9 32
 
1.2%
Other values (206) 664
24.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1076
39.6%
1 234
 
8.6%
2 135
 
5.0%
3 94
 
3.5%
4 80
 
2.9%
5 51
 
1.9%
6 63
 
2.3%
7 39
 
1.4%
8 43
 
1.6%
9 32
 
1.2%
ValueCountFrequency (%)
15445 1
< 0.1%
10915 1
< 0.1%
4192 1
< 0.1%
2515 1
< 0.1%
1865 1
< 0.1%
1855 1
< 0.1%
1324 1
< 0.1%
1070 1
< 0.1%
1066 1
< 0.1%
1028 1
< 0.1%

2023-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct245
Distinct (%)9.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean49.713262
Minimum0
Maximum19288
Zeros988
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:51:59.292478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile150
Maximum19288
Range19288
Interquartile range (IQR)14

Descriptive statistics

Standard deviation497.42798
Coefficient of variation (CV)10.005941
Kurtosis1090.308
Mean49.713262
Median Absolute Deviation (MAD)2
Skewness31.092133
Sum124830
Variance247434.59
MonotonicityNot monotonic
2024-03-23T06:51:59.908386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 988
36.4%
1 239
 
8.8%
2 150
 
5.5%
3 99
 
3.6%
4 82
 
3.0%
6 54
 
2.0%
5 52
 
1.9%
7 38
 
1.4%
10 34
 
1.3%
9 33
 
1.2%
Other values (235) 742
27.3%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 988
36.4%
1 239
 
8.8%
2 150
 
5.5%
3 99
 
3.6%
4 82
 
3.0%
5 52
 
1.9%
6 54
 
2.0%
7 38
 
1.4%
8 29
 
1.1%
9 33
 
1.2%
ValueCountFrequency (%)
19288 1
< 0.1%
13189 1
< 0.1%
5060 1
< 0.1%
3212 1
< 0.1%
2478 1
< 0.1%
2433 1
< 0.1%
1520 1
< 0.1%
1378 1
< 0.1%
1332 1
< 0.1%
1328 1
< 0.1%

2023-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct230
Distinct (%)9.2%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean44.626045
Minimum0
Maximum17080
Zeros1028
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:00.357743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile139.5
Maximum17080
Range17080
Interquartile range (IQR)14

Descriptive statistics

Standard deviation443.83143
Coefficient of variation (CV)9.9455694
Kurtosis1074.4333
Mean44.626045
Median Absolute Deviation (MAD)2
Skewness30.904855
Sum112056
Variance196986.34
MonotonicityNot monotonic
2024-03-23T06:52:01.289331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1028
37.8%
1 208
 
7.7%
2 149
 
5.5%
3 95
 
3.5%
4 73
 
2.7%
5 60
 
2.2%
6 49
 
1.8%
7 48
 
1.8%
8 39
 
1.4%
13 32
 
1.2%
Other values (220) 730
26.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1028
37.8%
1 208
 
7.7%
2 149
 
5.5%
3 95
 
3.5%
4 73
 
2.7%
5 60
 
2.2%
6 49
 
1.8%
7 48
 
1.8%
8 39
 
1.4%
9 22
 
0.8%
ValueCountFrequency (%)
17080 1
< 0.1%
11921 1
< 0.1%
4632 1
< 0.1%
2979 1
< 0.1%
2353 1
< 0.1%
2039 1
< 0.1%
1273 1
< 0.1%
1213 1
< 0.1%
1200 1
< 0.1%
1133 1
< 0.1%

2023-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct252
Distinct (%)10.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean52.227001
Minimum0
Maximum18925
Zeros1017
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:02.213074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile156
Maximum18925
Range18925
Interquartile range (IQR)15

Descriptive statistics

Standard deviation511.66357
Coefficient of variation (CV)9.7969165
Kurtosis1012.8183
Mean52.227001
Median Absolute Deviation (MAD)2
Skewness30.149296
Sum131142
Variance261799.61
MonotonicityNot monotonic
2024-03-23T06:52:03.214351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1017
37.4%
1 201
 
7.4%
2 132
 
4.9%
3 89
 
3.3%
5 73
 
2.7%
4 68
 
2.5%
6 64
 
2.4%
7 39
 
1.4%
12 31
 
1.1%
13 31
 
1.1%
Other values (242) 766
28.2%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1017
37.4%
1 201
 
7.4%
2 132
 
4.9%
3 89
 
3.3%
4 68
 
2.5%
5 73
 
2.7%
6 64
 
2.4%
7 39
 
1.4%
8 27
 
1.0%
9 24
 
0.9%
ValueCountFrequency (%)
18925 1
< 0.1%
14736 1
< 0.1%
5219 1
< 0.1%
3545 1
< 0.1%
2882 1
< 0.1%
2443 1
< 0.1%
1457 1
< 0.1%
1386 1
< 0.1%
1347 1
< 0.1%
1329 1
< 0.1%

2023-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct245
Distinct (%)9.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50.644763
Minimum0
Maximum18927
Zeros1014
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:04.803920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile150
Maximum18927
Range18927
Interquartile range (IQR)15

Descriptive statistics

Standard deviation498.47114
Coefficient of variation (CV)9.8425012
Kurtosis1041.9396
Mean50.644763
Median Absolute Deviation (MAD)2
Skewness30.423076
Sum127169
Variance248473.48
MonotonicityNot monotonic
2024-03-23T06:52:06.206001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1014
37.3%
1 200
 
7.4%
2 143
 
5.3%
3 88
 
3.2%
5 78
 
2.9%
4 70
 
2.6%
7 51
 
1.9%
6 50
 
1.8%
8 39
 
1.4%
9 29
 
1.1%
Other values (235) 749
27.6%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1014
37.3%
1 200
 
7.4%
2 143
 
5.3%
3 88
 
3.2%
4 70
 
2.6%
5 78
 
2.9%
6 50
 
1.8%
7 51
 
1.9%
8 39
 
1.4%
9 29
 
1.1%
ValueCountFrequency (%)
18927 1
< 0.1%
13587 1
< 0.1%
5244 1
< 0.1%
3542 1
< 0.1%
3007 1
< 0.1%
2375 1
< 0.1%
1563 1
< 0.1%
1469 1
< 0.1%
1410 1
< 0.1%
1293 1
< 0.1%

2023-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct233
Distinct (%)9.3%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean46.327758
Minimum0
Maximum17662
Zeros1008
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:06.781866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile140.5
Maximum17662
Range17662
Interquartile range (IQR)15

Descriptive statistics

Standard deviation457.72927
Coefficient of variation (CV)9.880238
Kurtosis1071.6439
Mean46.327758
Median Absolute Deviation (MAD)2
Skewness30.789527
Sum116329
Variance209516.09
MonotonicityNot monotonic
2024-03-23T06:52:07.240739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1008
37.1%
1 228
 
8.4%
2 157
 
5.8%
4 83
 
3.1%
3 78
 
2.9%
5 66
 
2.4%
6 47
 
1.7%
7 42
 
1.5%
8 36
 
1.3%
10 30
 
1.1%
Other values (223) 736
27.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1008
37.1%
1 228
 
8.4%
2 157
 
5.8%
3 78
 
2.9%
4 83
 
3.1%
5 66
 
2.4%
6 47
 
1.7%
7 42
 
1.5%
8 36
 
1.3%
9 27
 
1.0%
ValueCountFrequency (%)
17662 1
< 0.1%
12102 1
< 0.1%
4788 1
< 0.1%
3276 1
< 0.1%
2830 1
< 0.1%
1963 1
< 0.1%
1436 1
< 0.1%
1409 1
< 0.1%
1337 1
< 0.1%
1123 1
< 0.1%

2023-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct238
Distinct (%)9.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50.215452
Minimum0
Maximum18686
Zeros987
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:07.850969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile160
Maximum18686
Range18686
Interquartile range (IQR)16

Descriptive statistics

Standard deviation490.43211
Coefficient of variation (CV)9.7665576
Kurtosis1050.9588
Mean50.215452
Median Absolute Deviation (MAD)2
Skewness30.543478
Sum126091
Variance240523.65
MonotonicityNot monotonic
2024-03-23T06:52:08.282174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 987
36.3%
1 211
 
7.8%
2 139
 
5.1%
3 107
 
3.9%
4 74
 
2.7%
6 63
 
2.3%
5 58
 
2.1%
9 40
 
1.5%
8 35
 
1.3%
7 34
 
1.3%
Other values (228) 763
28.1%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 987
36.3%
1 211
 
7.8%
2 139
 
5.1%
3 107
 
3.9%
4 74
 
2.7%
5 58
 
2.1%
6 63
 
2.3%
7 34
 
1.3%
8 35
 
1.3%
9 40
 
1.5%
ValueCountFrequency (%)
18686 1
< 0.1%
13347 1
< 0.1%
4866 1
< 0.1%
3506 1
< 0.1%
2964 1
< 0.1%
2325 1
< 0.1%
1588 1
< 0.1%
1481 1
< 0.1%
1477 1
< 0.1%
1272 1
< 0.1%

2023-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct238
Distinct (%)9.5%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean48.082437
Minimum0
Maximum18429
Zeros1019
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:08.772755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile147
Maximum18429
Range18429
Interquartile range (IQR)15

Descriptive statistics

Standard deviation477.23562
Coefficient of variation (CV)9.9253625
Kurtosis1076.6956
Mean48.082437
Median Absolute Deviation (MAD)2
Skewness30.884626
Sum120735
Variance227753.84
MonotonicityNot monotonic
2024-03-23T06:52:09.279796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1019
37.5%
1 199
 
7.3%
2 135
 
5.0%
3 94
 
3.5%
4 84
 
3.1%
5 59
 
2.2%
6 56
 
2.1%
7 47
 
1.7%
8 43
 
1.6%
9 31
 
1.1%
Other values (228) 744
27.4%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1019
37.5%
1 199
 
7.3%
2 135
 
5.0%
3 94
 
3.5%
4 84
 
3.1%
5 59
 
2.2%
6 56
 
2.1%
7 47
 
1.7%
8 43
 
1.6%
9 31
 
1.1%
ValueCountFrequency (%)
18429 1
< 0.1%
12662 1
< 0.1%
4876 1
< 0.1%
3426 1
< 0.1%
2883 1
< 0.1%
1980 1
< 0.1%
1500 1
< 0.1%
1449 1
< 0.1%
1398 1
< 0.1%
1310 1
< 0.1%

2023-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct225
Distinct (%)9.0%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean45.200319
Minimum0
Maximum17111
Zeros1003
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:09.779347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile133
Maximum17111
Range17111
Interquartile range (IQR)14

Descriptive statistics

Standard deviation446.23743
Coefficient of variation (CV)9.8724399
Kurtosis1078.8247
Mean45.200319
Median Absolute Deviation (MAD)2
Skewness31.024639
Sum113498
Variance199127.84
MonotonicityNot monotonic
2024-03-23T06:52:10.315657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1003
36.9%
1 227
 
8.4%
2 137
 
5.0%
3 104
 
3.8%
4 87
 
3.2%
5 65
 
2.4%
6 56
 
2.1%
7 40
 
1.5%
8 34
 
1.3%
10 28
 
1.0%
Other values (215) 730
26.9%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1003
36.9%
1 227
 
8.4%
2 137
 
5.0%
3 104
 
3.8%
4 87
 
3.2%
5 65
 
2.4%
6 56
 
2.1%
7 40
 
1.5%
8 34
 
1.3%
9 26
 
1.0%
ValueCountFrequency (%)
17111 1
< 0.1%
12255 1
< 0.1%
3948 1
< 0.1%
2822 1
< 0.1%
2555 1
< 0.1%
2075 1
< 0.1%
1467 1
< 0.1%
1400 1
< 0.1%
1218 1
< 0.1%
1211 1
< 0.1%

2023-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct222
Distinct (%)8.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean41.664675
Minimum0
Maximum15161
Zeros1004
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:10.732256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile128
Maximum15161
Range15161
Interquartile range (IQR)13

Descriptive statistics

Standard deviation408.87561
Coefficient of variation (CV)9.8134837
Kurtosis1033.9933
Mean41.664675
Median Absolute Deviation (MAD)2
Skewness30.526276
Sum104620
Variance167179.27
MonotonicityNot monotonic
2024-03-23T06:52:11.390631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1004
36.9%
1 225
 
8.3%
2 143
 
5.3%
3 116
 
4.3%
4 79
 
2.9%
5 56
 
2.1%
6 55
 
2.0%
8 49
 
1.8%
7 48
 
1.8%
10 29
 
1.1%
Other values (212) 707
26.0%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1004
36.9%
1 225
 
8.3%
2 143
 
5.3%
3 116
 
4.3%
4 79
 
2.9%
5 56
 
2.1%
6 55
 
2.0%
7 48
 
1.8%
8 49
 
1.8%
9 29
 
1.1%
ValueCountFrequency (%)
15161 1
< 0.1%
11947 1
< 0.1%
3300 1
< 0.1%
2872 1
< 0.1%
2229 1
< 0.1%
2030 1
< 0.1%
1511 1
< 0.1%
1154 1
< 0.1%
1051 1
< 0.1%
1021 1
< 0.1%

2023-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct196
Distinct (%)7.8%
Missing207
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean34.393867
Minimum0
Maximum12797
Zeros1083
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:11.995492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile101
Maximum12797
Range12797
Interquartile range (IQR)10

Descriptive statistics

Standard deviation338.46461
Coefficient of variation (CV)9.8408419
Kurtosis1060.8599
Mean34.393867
Median Absolute Deviation (MAD)1
Skewness30.840428
Sum86363
Variance114558.29
MonotonicityNot monotonic
2024-03-23T06:52:12.709923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
39.8%
1 207
 
7.6%
2 146
 
5.4%
3 102
 
3.8%
4 83
 
3.1%
5 65
 
2.4%
6 56
 
2.1%
7 50
 
1.8%
8 42
 
1.5%
11 31
 
1.1%
Other values (186) 646
23.8%
(Missing) 207
 
7.6%
ValueCountFrequency (%)
0 1083
39.8%
1 207
 
7.6%
2 146
 
5.4%
3 102
 
3.8%
4 83
 
3.1%
5 65
 
2.4%
6 56
 
2.1%
7 50
 
1.8%
8 42
 
1.5%
9 25
 
0.9%
ValueCountFrequency (%)
12797 1
< 0.1%
9587 1
< 0.1%
2844 1
< 0.1%
2064 1
< 0.1%
1765 1
< 0.1%
1699 1
< 0.1%
1138 1
< 0.1%
1039 1
< 0.1%
825 1
< 0.1%
816 1
< 0.1%

2024-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct217
Distinct (%)8.6%
Missing180
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean40.652088
Minimum0
Maximum15308
Zeros1039
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-23T06:52:13.809446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile124.15
Maximum15308
Range15308
Interquartile range (IQR)13

Descriptive statistics

Standard deviation404.40074
Coefficient of variation (CV)9.9478466
Kurtosis1064.432
Mean40.652088
Median Absolute Deviation (MAD)1
Skewness30.932516
Sum103175
Variance163539.96
MonotonicityNot monotonic
2024-03-23T06:52:14.387146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1039
38.2%
1 233
 
8.6%
2 127
 
4.7%
3 103
 
3.8%
4 72
 
2.6%
5 66
 
2.4%
7 61
 
2.2%
6 52
 
1.9%
8 43
 
1.6%
9 38
 
1.4%
Other values (207) 704
25.9%
(Missing) 180
 
6.6%
ValueCountFrequency (%)
0 1039
38.2%
1 233
 
8.6%
2 127
 
4.7%
3 103
 
3.8%
4 72
 
2.6%
5 66
 
2.4%
6 52
 
1.9%
7 61
 
2.2%
8 43
 
1.6%
9 38
 
1.4%
ValueCountFrequency (%)
15308 1
< 0.1%
11568 1
< 0.1%
3662 1
< 0.1%
2776 1
< 0.1%
2113 1
< 0.1%
1859 1
< 0.1%
1427 1
< 0.1%
1045 1
< 0.1%
991 1
< 0.1%
979 1
< 0.1%

Sample

아파트매매 거래규모별2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국 /20㎡이하193013053598643102525112713162485650707236483473494447437613778651405042483167283516215265477040947866116328412063661075610550585875121481721511111742616215913916028022330325622627125215317013316924651720724442827131540837418137034768961940748250135053847553852952965951173951941969364672751052545441910165275093323836944904595424424303405684933724274254013613694593624144382923574004085156093063473953068334664423003984165672892854534293404862784204717326425866153453934086253422923675457025464681576791683411469576376410479447370405466414653581319375396338274512320326311349402309347500256271455273337
1전국 /21~40㎡720232037843429400931072812276943924986711459893994357642904516388539624274325728453948416031303435383049585374467850044245305833433854211223632139291239533336318336623903427943703677322929442286285436133301247927762304234723993365401048002757301444544235477047043958354038804414402345541743327346523857310432264012230819963047350346052052219732663589462951741784190922693563316837002723361141114129345833653644400638494776378133643583388048554941411244193971360934974114385633542710248137223825357840363780368936844126363033182652269336012954332938393685337330492238277225432522250236822534258821092267233325353153212018781927211021162035200721672184225320812713303737273165372038533252338155055073265528603584425662154223405347024543453037703782409340563234326726802055240329663327376027512237196817461577165815801540185524332039244323751963232519802075203017651859
2전국 /41~60㎡4668185742761725247238012214917237184663006135308514433723921734187672202923019206161962120062205961703423102238712160522149211832754632116271322609125271190461771417778142011015910460159801906419136185612112023113218342649825442214932126616035185382181219991161681584814996135411559220412232812666719590217662692423904223572068618783203421964522123206292660764481481818026172741937613838140141143810132176231821831565618013079181992086123890342531010212037153292438522348260081395821474241002380718494180881869919600230132870022718253772160520788293423083526818264832807123157210342535323362191941441814270196192206421652227222362323685225732617923915208251325715018186511814120522237362342421838184081407816739151251560116569207701625214593156461426214776180692138013990115611088198951174912798127451260515562151611438419110211222691723734287712755117173209913424933708193941854821799293363666824021229682780124079245302329923126235762148119770157891196398741109513919154751520211719934780827042728066766186621510915131891192114736135871210213347126621225511947958711568
3전국 /61~85㎡500915286248852329423209192901508115037283133311746731316001754714671161391595015994135511552715677127022015419478185321800517207217202837422002227902097516091155911706910687116699631148151882921516211942513624946245002665725318211672105816681195072363221308165471641615319149231468020188260043064222756263762891527352232882103119939192881916920713211543302769311451617407174201700813777138761183197331761720383325406028140041890722866264234036196891262616144278052621427548168922371126257268442119519315217502158325066316952716426167235372440633164351473120329665298222541222818287672706723122158561562518848216102285823663257932698225452315132967923063161931656519278189012180426962277712807724187175542105320638209222123626248203241803116735167391878023626288191904114944138341225413774160881567915331201052098320699272593121542074359814134336248221272526147176474892826727643311804292049039281222582329166241102555924816258802692923716206071801312799995710524127451364114254109258306770475098024838985198282154451928817080189251892717662186861842917111151611279715308
4전국 /86~100㎡2978141229107610887546505681117141018331176657546507460438475580532471649683619586616759973845862645560520439326357397792806972965100698290093393474878661776975073657455350249647872498111698429241011855749699710696598734675129222349160755652449049046235764474410761874397188089601382276411536109497810297411070102193682263079883693212349938679109471312134212021063102893681210761026887601539665758852927107510031049125611481000560685708800797112411601170805595734740772870108879163251267469299211286824825044614918426405697478418601141145518921605172114607468691795177399193793014431745991840837712907717785822703678424333253248293387486300239170181200222258268512650603670716647691671563454341428
5전국 /101~135㎡12422977583854585214405929692773530771048779576827712159223523592181202531653003200728763370284627572779332744723933383436352746246424721921200122513702545752515274654560756219561259134930516541644818541745983776397938263433355451796571853461676741781365746095608158395548498452106139801219743975429243734082382438304026284147715357835216833134441454296347101512070271238916802651069675321652667136785595855345804603769969301748062645705596279398404817477808128708261177734694267644467378042874804547457176996681967228355784783073914397746244461517965847361758763544274532754145693597975024971460939024031441764457629437134233001244226523037327531774310453545166156765510066869293028000426250881056410955616261786676886092385157465046193710420539064308424840093331257118221591125116541923216714421069994901918833938972186524782353288230072830296428832555222916992113
6전국 /136~165㎡26144010309428056294484428321104131911024753583783753794216275614325366145374885246427667736006336655015264775765177501644105910891348126114391232145712151137100812271060108290088382287310181198162926461215137718371524159914731436153214031229151824796251057108310611034133610648327751106145219534847971093123912872148562682953135312681406136214281407147411981244119512491450180515881410121411431514159815481690200613331323155115501489962857974976105811931480133613091683155911917717628658541000127313631339123779795610331196124015128898847747677391163150585468653541949157464270681992185011541387189915881678142978610822081220211601170123317191771978932840735877719793718644591441319272218325355433296239155177175168161193314423470506538524584558474397353365
7전국 /166~198㎡56126325247246176142113200339341250113102114961038415313484157152124140771642561701391801291211451121311171604132972562622872343012353553432032762312172001714162261672205175212983103524503493232833423353253075259120224324719223021224214126836245911215029230449059616616724943452644640640936239030429130727631743934137625125737341644241143034332640641043125820826925929532251839837541242331924623425824528837636535933918928028232035346722822921421622934937221215515010415415818718224022221226832346545842036221926253665735930231743949625124718417526917018415315513010886766593113124102604663413750356911410813613314614814711511889101
8전국 /198㎡초과283982807862574595101125100734974324647725936463246473334656258464431343034256363103718212965701108397726473645354543640609420145639994856888568788741422459706550967852571048816235455875197174566960881431601631081261751051039711411921713611894831201541591571319888123101124918210198143130199120951161221016677849499911141431366273117911021727376809195109131935757414476825584959990103161121101976299168146991078814215382761023771065359555145493517232644453120221317181816364042463039324335303032
9서울 /20㎡이하1928141511197141333262611171221121120131112147141745303021121217722362721161827153747337761121102929161017212221228181812112171331912161718088799233346547364414449678875100119398110611915222611517411078859111711914419118230215016537023924324320015815741724013411711023918812618619115912516922412916515014614119721815816212610913814014430438214110111010712415613611810712510295114187191135229111137242405206230362149181178225149931281601741882021892332431721812581441511891431301341931322442861171291771548823016211110312514610219922375116134101131
아파트매매 거래규모별2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
2708제주 제주시/198㎡초과<NA><NA><NA><NA><NA><NA>1000000000000000000000000000000001001000000000000000000000000000000000000001012100000000100000000000000001000200000000000001000000000000000000000200000000000002000000000000000000000000000000000000000000000000000
2709제주 서귀포시/20㎡이하<NA><NA><NA><NA><NA><NA>000001000000300000001001000000000000000002140000000000000000000000000000182000401010000061030010000110004810100000220100315362213215315145224400270333001040811010012323700621111953358605312455452303441303630111622442
2710제주 서귀포시/21~40㎡<NA><NA><NA><NA><NA><NA>482389141113836143356432678743469117824351795523992112710655363152096474142075571551146542529104141810671138215164810542781145712511172114127185210432467859181268261661211162416103920181288134691014861292162154154381171211622131377104515159118411551316151414171771310109129813172014174278866810215671127741358
2711제주 서귀포시/41~60㎡<NA><NA><NA><NA><NA><NA>368699203110114486410101320241213106184290142115114920617314122713122116353733172016111913151431474044323610172014101253171712121914568711023252636101325311218202125263728252115611163937820362721121018121218162372516222129202120152325272741171312343325141915261917121225253812146129211614168151213816149121614916162015292420305655473323243742481326201619173017201616811141191412177201111496131318
2712제주 서귀포시/61~85㎡<NA><NA><NA><NA><NA><NA>6417171426493525915111217112212213311810782412161213163012222110711710157302517685977611181632423825155851283217130243116181526301811261236155237255064352333343541283622291622261324211221130834553223116192231285632726948566347227936312630332618203826373532504041324247187521251927314428271832211019251933323335534035272259233142699863677267486952474934565051514629473030211322222519203730243927433129482433
2713제주 서귀포시/86~100㎡<NA><NA><NA><NA><NA><NA>0031015221013100105431001101100502001101113220010200100330112200263112011000000311111000122122120010034110000100010013312111101011202010010102012001000100000000010200111000333312240002111302210320000101001001001
2714제주 서귀포시/101~135㎡<NA><NA><NA><NA><NA><NA>01222141015725244498453338302244733513530414111023215104301111102141130240501302106231211214112203232123331232400220224012200001110020121112110011101013223023322320120336103652584664433546133011212000120041103102
2715제주 서귀포시/136~165㎡<NA><NA><NA><NA><NA><NA>00001000000000000100022102100101001011030034110101111002100010002200001311000000001101100011001010000010401000000100010120000000012101001010102000000000000000000101000020000001010101100000010000008000214220011000
2716제주 서귀포시/166~198㎡<NA><NA><NA><NA><NA><NA>0000010100000001000001000000000010000000100001000101000000100000000000010000000000010000000000100000100000000000100000000000000001010010000000011000100000010000000000000000000100020000000000100000000000000000000
2717제주 서귀포시/198㎡초과<NA><NA><NA><NA><NA><NA>0000000000000002000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000