Overview

Dataset statistics

Number of variables218
Number of observations302
Missing cells5460
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory578.5 KiB
Average record size in memory1.9 KiB

Variable types

Text1
Numeric217

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 아파트 거래현황의 월별 행정구역별(면적) 데이터입니다.-(단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15112201/fileData.do

Alerts

2006-01 has 34 (11.3%) missing valuesMissing
2006-02 has 30 (9.9%) missing valuesMissing
2006-03 has 30 (9.9%) missing valuesMissing
2006-04 has 30 (9.9%) missing valuesMissing
2006-05 has 30 (9.9%) missing valuesMissing
2006-06 has 30 (9.9%) missing valuesMissing
2006-07 has 32 (10.6%) missing valuesMissing
2006-08 has 32 (10.6%) missing valuesMissing
2006-09 has 32 (10.6%) missing valuesMissing
2006-10 has 32 (10.6%) missing valuesMissing
2006-11 has 32 (10.6%) missing valuesMissing
2006-12 has 32 (10.6%) missing valuesMissing
2007-01 has 32 (10.6%) missing valuesMissing
2007-02 has 32 (10.6%) missing valuesMissing
2007-03 has 32 (10.6%) missing valuesMissing
2007-04 has 32 (10.6%) missing valuesMissing
2007-05 has 32 (10.6%) missing valuesMissing
2007-06 has 32 (10.6%) missing valuesMissing
2007-07 has 32 (10.6%) missing valuesMissing
2007-08 has 32 (10.6%) missing valuesMissing
2007-09 has 32 (10.6%) missing valuesMissing
2007-10 has 32 (10.6%) missing valuesMissing
2007-11 has 32 (10.6%) missing valuesMissing
2007-12 has 32 (10.6%) missing valuesMissing
2008-01 has 32 (10.6%) missing valuesMissing
2008-02 has 32 (10.6%) missing valuesMissing
2008-03 has 32 (10.6%) missing valuesMissing
2008-04 has 32 (10.6%) missing valuesMissing
2008-05 has 31 (10.3%) missing valuesMissing
2008-06 has 29 (9.6%) missing valuesMissing
2008-07 has 29 (9.6%) missing valuesMissing
2008-08 has 29 (9.6%) missing valuesMissing
2008-09 has 29 (9.6%) missing valuesMissing
2008-10 has 29 (9.6%) missing valuesMissing
2008-11 has 29 (9.6%) missing valuesMissing
2008-12 has 29 (9.6%) missing valuesMissing
2009-01 has 28 (9.3%) missing valuesMissing
2009-02 has 28 (9.3%) missing valuesMissing
2009-03 has 28 (9.3%) missing valuesMissing
2009-04 has 28 (9.3%) missing valuesMissing
2009-05 has 28 (9.3%) missing valuesMissing
2009-06 has 28 (9.3%) missing valuesMissing
2009-07 has 28 (9.3%) missing valuesMissing
2009-08 has 28 (9.3%) missing valuesMissing
2009-09 has 28 (9.3%) missing valuesMissing
2009-10 has 28 (9.3%) missing valuesMissing
2009-11 has 28 (9.3%) missing valuesMissing
2009-12 has 28 (9.3%) missing valuesMissing
2010-01 has 28 (9.3%) missing valuesMissing
2010-02 has 28 (9.3%) missing valuesMissing
2010-03 has 28 (9.3%) missing valuesMissing
2010-04 has 28 (9.3%) missing valuesMissing
2010-05 has 28 (9.3%) missing valuesMissing
2010-06 has 28 (9.3%) missing valuesMissing
2010-07 has 25 (8.3%) missing valuesMissing
2010-08 has 25 (8.3%) missing valuesMissing
2010-09 has 25 (8.3%) missing valuesMissing
2010-10 has 25 (8.3%) missing valuesMissing
2010-11 has 25 (8.3%) missing valuesMissing
2010-12 has 25 (8.3%) missing valuesMissing
2011-01 has 25 (8.3%) missing valuesMissing
2011-02 has 25 (8.3%) missing valuesMissing
2011-03 has 25 (8.3%) missing valuesMissing
2011-04 has 25 (8.3%) missing valuesMissing
2011-05 has 25 (8.3%) missing valuesMissing
2011-06 has 25 (8.3%) missing valuesMissing
2011-07 has 25 (8.3%) missing valuesMissing
2011-08 has 25 (8.3%) missing valuesMissing
2011-09 has 25 (8.3%) missing valuesMissing
2011-10 has 25 (8.3%) missing valuesMissing
2011-11 has 25 (8.3%) missing valuesMissing
2011-12 has 25 (8.3%) missing valuesMissing
2012-01 has 25 (8.3%) missing valuesMissing
2012-02 has 25 (8.3%) missing valuesMissing
2012-03 has 25 (8.3%) missing valuesMissing
2012-04 has 25 (8.3%) missing valuesMissing
2012-05 has 25 (8.3%) missing valuesMissing
2012-06 has 25 (8.3%) missing valuesMissing
2012-07 has 24 (7.9%) missing valuesMissing
2012-08 has 24 (7.9%) missing valuesMissing
2012-09 has 24 (7.9%) missing valuesMissing
2012-10 has 24 (7.9%) missing valuesMissing
2012-11 has 24 (7.9%) missing valuesMissing
2012-12 has 24 (7.9%) missing valuesMissing
2013-01 has 24 (7.9%) missing valuesMissing
2013-02 has 24 (7.9%) missing valuesMissing
2013-03 has 24 (7.9%) missing valuesMissing
2013-04 has 24 (7.9%) missing valuesMissing
2013-05 has 24 (7.9%) missing valuesMissing
2013-06 has 24 (7.9%) missing valuesMissing
2013-07 has 24 (7.9%) missing valuesMissing
2013-08 has 24 (7.9%) missing valuesMissing
2013-09 has 23 (7.6%) missing valuesMissing
2013-10 has 24 (7.9%) missing valuesMissing
2013-11 has 24 (7.9%) missing valuesMissing
2013-12 has 24 (7.9%) missing valuesMissing
2014-01 has 26 (8.6%) missing valuesMissing
2014-02 has 24 (7.9%) missing valuesMissing
2014-03 has 23 (7.6%) missing valuesMissing
2014-04 has 23 (7.6%) missing valuesMissing
2014-05 has 23 (7.6%) missing valuesMissing
2014-06 has 23 (7.6%) missing valuesMissing
2014-07 has 22 (7.3%) missing valuesMissing
2014-08 has 22 (7.3%) missing valuesMissing
2014-09 has 22 (7.3%) missing valuesMissing
2014-10 has 22 (7.3%) missing valuesMissing
2014-11 has 22 (7.3%) missing valuesMissing
2014-12 has 22 (7.3%) missing valuesMissing
2015-01 has 22 (7.3%) missing valuesMissing
2015-02 has 22 (7.3%) missing valuesMissing
2015-03 has 22 (7.3%) missing valuesMissing
2015-04 has 21 (7.0%) missing valuesMissing
2015-05 has 21 (7.0%) missing valuesMissing
2015-06 has 21 (7.0%) missing valuesMissing
2015-07 has 21 (7.0%) missing valuesMissing
2015-08 has 21 (7.0%) missing valuesMissing
2015-09 has 21 (7.0%) missing valuesMissing
2015-10 has 21 (7.0%) missing valuesMissing
2015-11 has 21 (7.0%) missing valuesMissing
2015-12 has 21 (7.0%) missing valuesMissing
2016-01 has 21 (7.0%) missing valuesMissing
2016-02 has 21 (7.0%) missing valuesMissing
2016-03 has 21 (7.0%) missing valuesMissing
2016-04 has 21 (7.0%) missing valuesMissing
2016-05 has 21 (7.0%) missing valuesMissing
2016-06 has 21 (7.0%) missing valuesMissing
2016-07 has 24 (7.9%) missing valuesMissing
2016-08 has 24 (7.9%) missing valuesMissing
2016-09 has 24 (7.9%) missing valuesMissing
2016-10 has 24 (7.9%) missing valuesMissing
2016-11 has 24 (7.9%) missing valuesMissing
2016-12 has 24 (7.9%) missing valuesMissing
2017-01 has 24 (7.9%) missing valuesMissing
2017-02 has 24 (7.9%) missing valuesMissing
2017-03 has 24 (7.9%) missing valuesMissing
2017-04 has 24 (7.9%) missing valuesMissing
2017-05 has 24 (7.9%) missing valuesMissing
2017-06 has 24 (7.9%) missing valuesMissing
2017-07 has 24 (7.9%) missing valuesMissing
2017-08 has 24 (7.9%) missing valuesMissing
2017-09 has 24 (7.9%) missing valuesMissing
2017-10 has 24 (7.9%) missing valuesMissing
2017-11 has 24 (7.9%) missing valuesMissing
2017-12 has 24 (7.9%) missing valuesMissing
2018-01 has 24 (7.9%) missing valuesMissing
2018-02 has 24 (7.9%) missing valuesMissing
2018-03 has 24 (7.9%) missing valuesMissing
2018-04 has 24 (7.9%) missing valuesMissing
2018-05 has 24 (7.9%) missing valuesMissing
2018-06 has 24 (7.9%) missing valuesMissing
2018-07 has 23 (7.6%) missing valuesMissing
2018-08 has 24 (7.9%) missing valuesMissing
2018-09 has 24 (7.9%) missing valuesMissing
2018-10 has 24 (7.9%) missing valuesMissing
2018-11 has 24 (7.9%) missing valuesMissing
2018-12 has 24 (7.9%) missing valuesMissing
2019-01 has 24 (7.9%) missing valuesMissing
2019-02 has 24 (7.9%) missing valuesMissing
2019-03 has 24 (7.9%) missing valuesMissing
2019-04 has 24 (7.9%) missing valuesMissing
2019-05 has 24 (7.9%) missing valuesMissing
2019-06 has 24 (7.9%) missing valuesMissing
2019-07 has 24 (7.9%) missing valuesMissing
2019-08 has 24 (7.9%) missing valuesMissing
2019-09 has 24 (7.9%) missing valuesMissing
2019-10 has 24 (7.9%) missing valuesMissing
2019-11 has 24 (7.9%) missing valuesMissing
2019-12 has 24 (7.9%) missing valuesMissing
2020-01 has 24 (7.9%) missing valuesMissing
2020-02 has 24 (7.9%) missing valuesMissing
2020-03 has 24 (7.9%) missing valuesMissing
2020-04 has 24 (7.9%) missing valuesMissing
2020-05 has 24 (7.9%) missing valuesMissing
2020-06 has 24 (7.9%) missing valuesMissing
2020-07 has 24 (7.9%) missing valuesMissing
2020-08 has 24 (7.9%) missing valuesMissing
2020-09 has 24 (7.9%) missing valuesMissing
2020-10 has 24 (7.9%) missing valuesMissing
2020-11 has 24 (7.9%) missing valuesMissing
2020-12 has 24 (7.9%) missing valuesMissing
2021-01 has 24 (7.9%) missing valuesMissing
2021-02 has 24 (7.9%) missing valuesMissing
2021-03 has 24 (7.9%) missing valuesMissing
2021-04 has 24 (7.9%) missing valuesMissing
2021-05 has 24 (7.9%) missing valuesMissing
2021-06 has 23 (7.6%) missing valuesMissing
2021-07 has 23 (7.6%) missing valuesMissing
2021-08 has 23 (7.6%) missing valuesMissing
2021-09 has 23 (7.6%) missing valuesMissing
2021-10 has 23 (7.6%) missing valuesMissing
2021-11 has 23 (7.6%) missing valuesMissing
2021-12 has 23 (7.6%) missing valuesMissing
2022-01 has 23 (7.6%) missing valuesMissing
2022-02 has 23 (7.6%) missing valuesMissing
2022-03 has 23 (7.6%) missing valuesMissing
2022-04 has 23 (7.6%) missing valuesMissing
2022-05 has 23 (7.6%) missing valuesMissing
2022-06 has 23 (7.6%) missing valuesMissing
2022-07 has 23 (7.6%) missing valuesMissing
2022-08 has 23 (7.6%) missing valuesMissing
2022-09 has 23 (7.6%) missing valuesMissing
2022-10 has 23 (7.6%) missing valuesMissing
2022-11 has 23 (7.6%) missing valuesMissing
2022-12 has 23 (7.6%) missing valuesMissing
2023-01 has 23 (7.6%) missing valuesMissing
2023-02 has 23 (7.6%) missing valuesMissing
2023-03 has 23 (7.6%) missing valuesMissing
2023-04 has 23 (7.6%) missing valuesMissing
2023-05 has 23 (7.6%) missing valuesMissing
2023-06 has 23 (7.6%) missing valuesMissing
2023-07 has 23 (7.6%) missing valuesMissing
2023-08 has 23 (7.6%) missing valuesMissing
2023-09 has 23 (7.6%) missing valuesMissing
2023-10 has 23 (7.6%) missing valuesMissing
2023-11 has 23 (7.6%) missing valuesMissing
2023-12 has 23 (7.6%) missing valuesMissing
2024-01 has 20 (6.6%) missing valuesMissing
지역 has unique valuesUnique
2006-01 has 37 (12.3%) zerosZeros
2006-02 has 29 (9.6%) zerosZeros
2006-03 has 25 (8.3%) zerosZeros
2006-04 has 30 (9.9%) zerosZeros
2006-05 has 24 (7.9%) zerosZeros
2006-06 has 32 (10.6%) zerosZeros
2006-07 has 29 (9.6%) zerosZeros
2006-08 has 40 (13.2%) zerosZeros
2006-09 has 25 (8.3%) zerosZeros
2006-10 has 29 (9.6%) zerosZeros
2006-11 has 24 (7.9%) zerosZeros
2006-12 has 29 (9.6%) zerosZeros
2007-01 has 30 (9.9%) zerosZeros
2007-02 has 24 (7.9%) zerosZeros
2007-03 has 28 (9.3%) zerosZeros
2007-04 has 28 (9.3%) zerosZeros
2007-05 has 32 (10.6%) zerosZeros
2007-06 has 35 (11.6%) zerosZeros
2007-07 has 31 (10.3%) zerosZeros
2007-08 has 31 (10.3%) zerosZeros
2007-09 has 36 (11.9%) zerosZeros
2007-10 has 23 (7.6%) zerosZeros
2007-11 has 26 (8.6%) zerosZeros
2007-12 has 32 (10.6%) zerosZeros
2008-01 has 26 (8.6%) zerosZeros
2008-02 has 24 (7.9%) zerosZeros
2008-03 has 21 (7.0%) zerosZeros
2008-04 has 24 (7.9%) zerosZeros
2008-05 has 23 (7.6%) zerosZeros
2008-06 has 30 (9.9%) zerosZeros
2008-07 has 27 (8.9%) zerosZeros
2008-08 has 33 (10.9%) zerosZeros
2008-09 has 31 (10.3%) zerosZeros
2008-10 has 26 (8.6%) zerosZeros
2008-11 has 35 (11.6%) zerosZeros
2008-12 has 36 (11.9%) zerosZeros
2009-01 has 42 (13.9%) zerosZeros
2009-02 has 29 (9.6%) zerosZeros
2009-03 has 26 (8.6%) zerosZeros
2009-04 has 25 (8.3%) zerosZeros
2009-05 has 29 (9.6%) zerosZeros
2009-06 has 28 (9.3%) zerosZeros
2009-07 has 32 (10.6%) zerosZeros
2009-08 has 31 (10.3%) zerosZeros
2009-09 has 29 (9.6%) zerosZeros
2009-10 has 26 (8.6%) zerosZeros
2009-11 has 26 (8.6%) zerosZeros
2009-12 has 26 (8.6%) zerosZeros
2010-01 has 30 (9.9%) zerosZeros
2010-02 has 26 (8.6%) zerosZeros
2010-03 has 20 (6.6%) zerosZeros
2010-04 has 27 (8.9%) zerosZeros
2010-05 has 31 (10.3%) zerosZeros
2010-06 has 28 (9.3%) zerosZeros
2010-07 has 25 (8.3%) zerosZeros
2010-08 has 30 (9.9%) zerosZeros
2010-09 has 33 (10.9%) zerosZeros
2010-10 has 32 (10.6%) zerosZeros
2010-11 has 30 (9.9%) zerosZeros
2010-12 has 26 (8.6%) zerosZeros
2011-01 has 32 (10.6%) zerosZeros
2011-02 has 28 (9.3%) zerosZeros
2011-03 has 21 (7.0%) zerosZeros
2011-04 has 25 (8.3%) zerosZeros
2011-05 has 26 (8.6%) zerosZeros
2011-06 has 33 (10.9%) zerosZeros
2011-07 has 27 (8.9%) zerosZeros
2011-08 has 30 (9.9%) zerosZeros
2011-09 has 30 (9.9%) zerosZeros
2011-10 has 28 (9.3%) zerosZeros
2011-11 has 23 (7.6%) zerosZeros
2011-12 has 21 (7.0%) zerosZeros
2012-01 has 37 (12.3%) zerosZeros
2012-02 has 29 (9.6%) zerosZeros
2012-03 has 28 (9.3%) zerosZeros
2012-04 has 25 (8.3%) zerosZeros
2012-05 has 28 (9.3%) zerosZeros
2012-06 has 26 (8.6%) zerosZeros
2012-07 has 31 (10.3%) zerosZeros
2012-08 has 27 (8.9%) zerosZeros
2012-09 has 37 (12.3%) zerosZeros
2012-10 has 32 (10.6%) zerosZeros
2012-11 has 22 (7.3%) zerosZeros
2012-12 has 18 (6.0%) zerosZeros
2013-01 has 43 (14.2%) zerosZeros
2013-02 has 29 (9.6%) zerosZeros
2013-03 has 24 (7.9%) zerosZeros
2013-04 has 21 (7.0%) zerosZeros
2013-05 has 28 (9.3%) zerosZeros
2013-06 has 17 (5.6%) zerosZeros
2013-07 has 37 (12.3%) zerosZeros
2013-08 has 36 (11.9%) zerosZeros
2013-09 has 32 (10.6%) zerosZeros
2013-10 has 22 (7.3%) zerosZeros
2013-11 has 26 (8.6%) zerosZeros
2013-12 has 27 (8.9%) zerosZeros
2014-01 has 28 (9.3%) zerosZeros
2014-02 has 19 (6.3%) zerosZeros
2014-03 has 17 (5.6%) zerosZeros
2014-04 has 17 (5.6%) zerosZeros
2014-05 has 29 (9.6%) zerosZeros
2014-06 has 27 (8.9%) zerosZeros
2014-07 has 18 (6.0%) zerosZeros
2014-08 has 27 (8.9%) zerosZeros
2014-09 has 24 (7.9%) zerosZeros
2014-10 has 23 (7.6%) zerosZeros
2014-11 has 19 (6.3%) zerosZeros
2014-12 has 21 (7.0%) zerosZeros
2015-01 has 27 (8.9%) zerosZeros
2015-02 has 25 (8.3%) zerosZeros
2015-03 has 19 (6.3%) zerosZeros
2015-04 has 19 (6.3%) zerosZeros
2015-05 has 19 (6.3%) zerosZeros
2015-06 has 21 (7.0%) zerosZeros
2015-07 has 18 (6.0%) zerosZeros
2015-08 has 20 (6.6%) zerosZeros
2015-09 has 26 (8.6%) zerosZeros
2015-10 has 21 (7.0%) zerosZeros
2015-11 has 20 (6.6%) zerosZeros
2015-12 has 23 (7.6%) zerosZeros
2016-01 has 28 (9.3%) zerosZeros
2016-02 has 27 (8.9%) zerosZeros
2016-03 has 22 (7.3%) zerosZeros
2016-04 has 21 (7.0%) zerosZeros
2016-05 has 28 (9.3%) zerosZeros
2016-06 has 20 (6.6%) zerosZeros
2016-07 has 27 (8.9%) zerosZeros
2016-08 has 23 (7.6%) zerosZeros
2016-09 has 22 (7.3%) zerosZeros
2016-10 has 19 (6.3%) zerosZeros
2016-11 has 22 (7.3%) zerosZeros
2016-12 has 21 (7.0%) zerosZeros
2017-01 has 22 (7.3%) zerosZeros
2017-02 has 17 (5.6%) zerosZeros
2017-03 has 17 (5.6%) zerosZeros
2017-04 has 21 (7.0%) zerosZeros
2017-05 has 22 (7.3%) zerosZeros
2017-06 has 22 (7.3%) zerosZeros
2017-07 has 23 (7.6%) zerosZeros
2017-08 has 27 (8.9%) zerosZeros
2017-09 has 21 (7.0%) zerosZeros
2017-10 has 23 (7.6%) zerosZeros
2017-11 has 18 (6.0%) zerosZeros
2017-12 has 25 (8.3%) zerosZeros
2018-01 has 18 (6.0%) zerosZeros
2018-02 has 19 (6.3%) zerosZeros
2018-03 has 17 (5.6%) zerosZeros
2018-04 has 21 (7.0%) zerosZeros
2018-05 has 17 (5.6%) zerosZeros
2018-06 has 25 (8.3%) zerosZeros
2018-07 has 22 (7.3%) zerosZeros
2018-08 has 19 (6.3%) zerosZeros
2018-09 has 24 (7.9%) zerosZeros
2018-10 has 16 (5.3%) zerosZeros
2018-11 has 18 (6.0%) zerosZeros
2018-12 has 18 (6.0%) zerosZeros
2019-01 has 22 (7.3%) zerosZeros
2019-02 has 25 (8.3%) zerosZeros
2019-03 has 19 (6.3%) zerosZeros
2019-04 has 17 (5.6%) zerosZeros
2019-05 has 19 (6.3%) zerosZeros
2019-06 has 21 (7.0%) zerosZeros
2019-07 has 18 (6.0%) zerosZeros
2019-08 has 16 (5.3%) zerosZeros
2019-09 has 25 (8.3%) zerosZeros
2019-10 has 18 (6.0%) zerosZeros
2019-11 has 17 (5.6%) zerosZeros
2019-12 has 14 (4.6%) zerosZeros
2020-01 has 20 (6.6%) zerosZeros
2020-02 has 12 (4.0%) zerosZeros
2020-03 has 17 (5.6%) zerosZeros
2020-04 has 22 (7.3%) zerosZeros
2020-05 has 18 (6.0%) zerosZeros
2020-06 has 14 (4.6%) zerosZeros
2020-07 has 15 (5.0%) zerosZeros
2020-08 has 20 (6.6%) zerosZeros
2020-09 has 15 (5.0%) zerosZeros
2020-10 has 16 (5.3%) zerosZeros
2020-11 has 15 (5.0%) zerosZeros
2020-12 has 12 (4.0%) zerosZeros
2021-01 has 19 (6.3%) zerosZeros
2021-02 has 18 (6.0%) zerosZeros
2021-03 has 11 (3.6%) zerosZeros
2021-04 has 12 (4.0%) zerosZeros
2021-05 has 19 (6.3%) zerosZeros
2021-06 has 18 (6.0%) zerosZeros
2021-07 has 16 (5.3%) zerosZeros
2021-08 has 15 (5.0%) zerosZeros
2021-09 has 19 (6.3%) zerosZeros
2021-10 has 17 (5.6%) zerosZeros
2021-11 has 18 (6.0%) zerosZeros
2021-12 has 21 (7.0%) zerosZeros
2022-01 has 25 (8.3%) zerosZeros
2022-02 has 21 (7.0%) zerosZeros
2022-03 has 18 (6.0%) zerosZeros
2022-04 has 18 (6.0%) zerosZeros
2022-05 has 17 (5.6%) zerosZeros
2022-06 has 19 (6.3%) zerosZeros
2022-07 has 23 (7.6%) zerosZeros
2022-08 has 26 (8.6%) zerosZeros
2022-09 has 27 (8.9%) zerosZeros
2022-10 has 26 (8.6%) zerosZeros
2022-11 has 29 (9.6%) zerosZeros
2022-12 has 33 (10.9%) zerosZeros
2023-01 has 33 (10.9%) zerosZeros
2023-02 has 25 (8.3%) zerosZeros
2023-03 has 24 (7.9%) zerosZeros
2023-04 has 24 (7.9%) zerosZeros
2023-05 has 24 (7.9%) zerosZeros
2023-06 has 25 (8.3%) zerosZeros
2023-07 has 29 (9.6%) zerosZeros
2023-08 has 21 (7.0%) zerosZeros
2023-09 has 22 (7.3%) zerosZeros
2023-10 has 25 (8.3%) zerosZeros
2023-11 has 20 (6.6%) zerosZeros
2023-12 has 22 (7.3%) zerosZeros
2024-01 has 17 (5.6%) zerosZeros

Reproduction

Analysis started2024-04-21 00:26:34.760120
Analysis finished2024-04-21 00:26:37.478026
Duration2.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct302
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-21T09:26:38.584315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.4370861
Min length2

Characters and Unicode

Total characters1944
Distinct characters147
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)100.0%

Sample

1st row전국
2nd row서울
3rd row서울 종로구
4th row서울 중구
5th row서울 용산구
ValueCountFrequency (%)
경기 56
 
9.0%
경남 27
 
4.3%
서울 26
 
4.2%
경북 26
 
4.2%
전남 23
 
3.7%
충남 20
 
3.2%
충북 20
 
3.2%
강원 19
 
3.0%
전북 17
 
2.7%
부산 17
 
2.7%
Other values (266) 374
59.8%
2024-04-21T09:26:40.326502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
16.6%
구 144
 
7.4%
시 125
 
6.4%
경 112
 
5.8%
군 93
 
4.8%
남 89
 
4.6%
북 72
 
3.7%
기 59
 
3.0%
전 50
 
2.6%
산 48
 
2.5%
Other values (137) 829
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1583
81.4%
Space Separator 323
 
16.6%
Close Punctuation 19
 
1.0%
Open Punctuation 19
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 144
 
9.1%
시 125
 
7.9%
경 112
 
7.1%
군 93
 
5.9%
남 89
 
5.6%
북 72
 
4.5%
기 59
 
3.7%
전 50
 
3.2%
산 48
 
3.0%
주 47
 
3.0%
Other values (134) 744
47.0%
Space Separator
ValueCountFrequency (%)
323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1583
81.4%
Common 361
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 144
 
9.1%
시 125
 
7.9%
경 112
 
7.1%
군 93
 
5.9%
남 89
 
5.6%
북 72
 
4.5%
기 59
 
3.7%
전 50
 
3.2%
산 48
 
3.0%
주 47
 
3.0%
Other values (134) 744
47.0%
Common
ValueCountFrequency (%)
323
89.5%
) 19
 
5.3%
( 19
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1583
81.4%
ASCII 361
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
89.5%
) 19
 
5.3%
( 19
 
5.3%
Hangul
ValueCountFrequency (%)
구 144
 
9.1%
시 125
 
7.9%
경 112
 
7.1%
군 93
 
5.9%
남 89
 
5.6%
북 72
 
4.5%
기 59
 
3.7%
전 50
 
3.2%
산 48
 
3.0%
주 47
 
3.0%
Other values (134) 744
47.0%

2006-01
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)35.4%
Missing34
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean69.231343
Minimum0
Maximum5872
Zeros37
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:40.568176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q344.25
95-th percentile169
Maximum5872
Range5872
Interquartile range (IQR)42.25

Descriptive statistics

Standard deviation389.76833
Coefficient of variation (CV)5.6299404
Kurtosis188.86608
Mean69.231343
Median Absolute Deviation (MAD)11
Skewness13.144564
Sum18554
Variance151919.35
MonotonicityNot monotonic
2024-04-21T09:26:40.814578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
12.3%
1 27
 
8.9%
2 14
 
4.6%
5 11
 
3.6%
3 10
 
3.3%
10 8
 
2.6%
9 6
 
2.0%
23 6
 
2.0%
8 5
 
1.7%
20 5
 
1.7%
Other values (85) 139
46.0%
(Missing) 34
 
11.3%
ValueCountFrequency (%)
0 37
12.3%
1 27
8.9%
2 14
 
4.6%
3 10
 
3.3%
4 2
 
0.7%
5 11
 
3.6%
6 4
 
1.3%
7 5
 
1.7%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
5872 1
0.3%
2234 1
0.3%
804 1
0.3%
686 1
0.3%
410 1
0.3%
405 1
0.3%
373 1
0.3%
306 1
0.3%
292 1
0.3%
215 1
0.3%

2006-02
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)34.9%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean73.761029
Minimum0
Maximum6323
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:41.071539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19
Q352
95-th percentile187.15
Maximum6323
Range6323
Interquartile range (IQR)50

Descriptive statistics

Standard deviation402.30835
Coefficient of variation (CV)5.4542127
Kurtosis217.51718
Mean73.761029
Median Absolute Deviation (MAD)18
Skewness14.196487
Sum20063
Variance161852.01
MonotonicityNot monotonic
2024-04-21T09:26:41.331093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
10.6%
0 29
 
9.6%
3 13
 
4.3%
2 10
 
3.3%
6 7
 
2.3%
27 6
 
2.0%
4 6
 
2.0%
16 6
 
2.0%
28 5
 
1.7%
7 5
 
1.7%
Other values (85) 153
50.7%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 29
9.6%
1 32
10.6%
2 10
 
3.3%
3 13
4.3%
4 6
 
2.0%
5 5
 
1.7%
6 7
 
2.3%
7 5
 
1.7%
9 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
6323 1
0.3%
1584 1
0.3%
1080 1
0.3%
512 1
0.3%
382 1
0.3%
373 1
0.3%
343 1
0.3%
306 1
0.3%
277 1
0.3%
268 1
0.3%

2006-03
Real number (ℝ)

MISSING  ZEROS 

Distinct113
Distinct (%)41.5%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean93.091912
Minimum0
Maximum7938
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:41.599358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q364
95-th percentile248.7
Maximum7938
Range7938
Interquartile range (IQR)61

Descriptive statistics

Standard deviation509.91732
Coefficient of variation (CV)5.4775685
Kurtosis209.84265
Mean93.091912
Median Absolute Deviation (MAD)21
Skewness13.911972
Sum25321
Variance260015.68
MonotonicityNot monotonic
2024-04-21T09:26:42.046578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 25
 
8.3%
2 14
 
4.6%
3 11
 
3.6%
4 9
 
3.0%
7 6
 
2.0%
9 6
 
2.0%
54 4
 
1.3%
18 4
 
1.3%
12 4
 
1.3%
Other values (103) 164
54.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 25
8.3%
1 25
8.3%
2 14
4.6%
3 11
3.6%
4 9
 
3.0%
5 4
 
1.3%
6 3
 
1.0%
7 6
 
2.0%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
7938 1
0.3%
2316 1
0.3%
1391 1
0.3%
557 1
0.3%
511 1
0.3%
428 1
0.3%
387 1
0.3%
362 1
0.3%
348 1
0.3%
341 1
0.3%

2006-04
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)37.1%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean78.474265
Minimum0
Maximum6700
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:42.306457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median22
Q353.25
95-th percentile200.05
Maximum6700
Range6700
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation431.19533
Coefficient of variation (CV)5.4947356
Kurtosis208.4367
Mean78.474265
Median Absolute Deviation (MAD)21
Skewness13.863351
Sum21345
Variance185929.42
MonotonicityNot monotonic
2024-04-21T09:26:42.555532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 26
 
8.6%
2 15
 
5.0%
4 9
 
3.0%
3 8
 
2.6%
32 6
 
2.0%
24 5
 
1.7%
5 5
 
1.7%
10 5
 
1.7%
47 5
 
1.7%
Other values (91) 158
52.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 30
9.9%
1 26
8.6%
2 15
5.0%
3 8
 
2.6%
4 9
 
3.0%
5 5
 
1.7%
6 2
 
0.7%
7 4
 
1.3%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
6700 1
0.3%
2007 1
0.3%
1187 1
0.3%
499 1
0.3%
363 1
0.3%
354 1
0.3%
337 1
0.3%
330 1
0.3%
295 1
0.3%
294 1
0.3%

2006-05
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)37.9%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean78.816176
Minimum0
Maximum6715
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:42.808214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median22
Q354
95-th percentile205.75
Maximum6715
Range6715
Interquartile range (IQR)52

Descriptive statistics

Standard deviation435.70732
Coefficient of variation (CV)5.5281458
Kurtosis202.24359
Mean78.816176
Median Absolute Deviation (MAD)21
Skewness13.633604
Sum21438
Variance189840.87
MonotonicityNot monotonic
2024-04-21T09:26:43.074461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34
 
11.3%
0 24
 
7.9%
2 14
 
4.6%
3 12
 
4.0%
5 7
 
2.3%
61 6
 
2.0%
47 6
 
2.0%
7 5
 
1.7%
15 5
 
1.7%
32 5
 
1.7%
Other values (93) 154
51.0%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 24
7.9%
1 34
11.3%
2 14
4.6%
3 12
 
4.0%
4 2
 
0.7%
5 7
 
2.3%
6 3
 
1.0%
7 5
 
1.7%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
6715 1
0.3%
2177 1
0.3%
1284 1
0.3%
512 1
0.3%
375 1
0.3%
365 1
0.3%
314 1
0.3%
299 1
0.3%
249 1
0.3%
247 1
0.3%

2006-06
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)35.3%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean70.764706
Minimum0
Maximum6049
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:43.486890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19.5
Q347.25
95-th percentile193.4
Maximum6049
Range6049
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation389.88674
Coefficient of variation (CV)5.5096215
Kurtosis207.43815
Mean70.764706
Median Absolute Deviation (MAD)18.5
Skewness13.831993
Sum19248
Variance152011.67
MonotonicityNot monotonic
2024-04-21T09:26:43.913659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 31
 
10.3%
2 16
 
5.3%
7 7
 
2.3%
3 7
 
2.3%
36 7
 
2.3%
9 6
 
2.0%
4 5
 
1.7%
48 5
 
1.7%
18 5
 
1.7%
Other values (86) 151
50.0%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 32
10.6%
1 31
10.3%
2 16
5.3%
3 7
 
2.3%
4 5
 
1.7%
5 2
 
0.7%
6 4
 
1.3%
7 7
 
2.3%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
6049 1
0.3%
1904 1
0.3%
916 1
0.3%
398 1
0.3%
361 1
0.3%
360 1
0.3%
287 1
0.3%
286 1
0.3%
281 1
0.3%
276 1
0.3%

2006-07
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)31.5%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean59.807407
Minimum0
Maximum5084
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:44.327572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q341
95-th percentile189.45
Maximum5084
Range5084
Interquartile range (IQR)39

Descriptive statistics

Standard deviation326.55235
Coefficient of variation (CV)5.4600653
Kurtosis211.41488
Mean59.807407
Median Absolute Deviation (MAD)13
Skewness13.986403
Sum16148
Variance106636.44
MonotonicityNot monotonic
2024-04-21T09:26:44.759175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34
 
11.3%
0 29
 
9.6%
2 12
 
4.0%
3 11
 
3.6%
5 9
 
3.0%
14 7
 
2.3%
4 6
 
2.0%
11 6
 
2.0%
13 5
 
1.7%
20 5
 
1.7%
Other values (75) 146
48.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 29
9.6%
1 34
11.3%
2 12
 
4.0%
3 11
 
3.6%
4 6
 
2.0%
5 9
 
3.0%
6 4
 
1.3%
7 3
 
1.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
5084 1
0.3%
1487 1
0.3%
680 1
0.3%
339 1
0.3%
304 1
0.3%
299 1
0.3%
275 1
0.3%
271 1
0.3%
248 1
0.3%
233 1
0.3%

2006-08
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)30.0%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean50.296296
Minimum0
Maximum4268
Zeros40
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:45.168681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q333
95-th percentile149.1
Maximum4268
Range4268
Interquartile range (IQR)31

Descriptive statistics

Standard deviation275.03537
Coefficient of variation (CV)5.4683026
Kurtosis208.88676
Mean50.296296
Median Absolute Deviation (MAD)14
Skewness13.899494
Sum13580
Variance75644.455
MonotonicityNot monotonic
2024-04-21T09:26:45.507101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
 
13.2%
1 26
 
8.6%
2 15
 
5.0%
4 9
 
3.0%
20 8
 
2.6%
10 7
 
2.3%
15 7
 
2.3%
6 6
 
2.0%
17 6
 
2.0%
8 5
 
1.7%
Other values (71) 141
46.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 40
13.2%
1 26
8.6%
2 15
 
5.0%
3 4
 
1.3%
4 9
 
3.0%
5 5
 
1.7%
6 6
 
2.0%
7 3
 
1.0%
8 5
 
1.7%
10 7
 
2.3%
ValueCountFrequency (%)
4268 1
0.3%
1296 1
0.3%
658 1
0.3%
257 1
0.3%
251 1
0.3%
227 1
0.3%
207 1
0.3%
190 1
0.3%
178 1
0.3%
176 1
0.3%

2006-09
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)38.9%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean87.225926
Minimum0
Maximum7415
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:45.743200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24.5
Q360
95-th percentile250.4
Maximum7415
Range7415
Interquartile range (IQR)57

Descriptive statistics

Standard deviation480.91693
Coefficient of variation (CV)5.5134631
Kurtosis204.05695
Mean87.225926
Median Absolute Deviation (MAD)23.5
Skewness13.723972
Sum23551
Variance231281.09
MonotonicityNot monotonic
2024-04-21T09:26:45.999658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 25
 
8.3%
2 10
 
3.3%
3 9
 
3.0%
4 7
 
2.3%
7 6
 
2.0%
10 6
 
2.0%
44 5
 
1.7%
9 5
 
1.7%
5 5
 
1.7%
Other values (95) 162
53.6%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 25
8.3%
1 30
9.9%
2 10
 
3.3%
3 9
 
3.0%
4 7
 
2.3%
5 5
 
1.7%
6 1
 
0.3%
7 6
 
2.0%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
7415 1
0.3%
2410 1
0.3%
1220 1
0.3%
460 1
0.3%
424 1
0.3%
398 1
0.3%
390 1
0.3%
302 1
0.3%
282 1
0.3%
267 1
0.3%

2006-10
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)42.2%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean95.614815
Minimum0
Maximum8050
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:46.293425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24.5
Q366.75
95-th percentile211.3
Maximum8050
Range8050
Interquartile range (IQR)64.75

Descriptive statistics

Standard deviation529.71525
Coefficient of variation (CV)5.540096
Kurtosis193.31991
Mean95.614815
Median Absolute Deviation (MAD)23.5
Skewness13.311015
Sum25816
Variance280598.25
MonotonicityNot monotonic
2024-04-21T09:26:46.698422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34
 
11.3%
0 29
 
9.6%
3 12
 
4.0%
2 8
 
2.6%
20 5
 
1.7%
9 5
 
1.7%
15 5
 
1.7%
52 4
 
1.3%
27 4
 
1.3%
6 4
 
1.3%
Other values (104) 160
53.0%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 29
9.6%
1 34
11.3%
2 8
 
2.6%
3 12
 
4.0%
4 3
 
1.0%
5 2
 
0.7%
6 4
 
1.3%
7 3
 
1.0%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
8050 1
0.3%
2840 1
0.3%
1712 1
0.3%
481 1
0.3%
420 1
0.3%
410 1
0.3%
396 1
0.3%
338 1
0.3%
327 1
0.3%
282 1
0.3%

2006-11
Real number (ℝ)

MISSING  ZEROS 

Distinct123
Distinct (%)45.6%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean129.52593
Minimum0
Maximum10996
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:47.075681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median33
Q396
95-th percentile300.05
Maximum10996
Range10996
Interquartile range (IQR)93.75

Descriptive statistics

Standard deviation719.03555
Coefficient of variation (CV)5.5512867
Kurtosis197.88378
Mean129.52593
Median Absolute Deviation (MAD)32
Skewness13.484456
Sum34972
Variance517012.12
MonotonicityNot monotonic
2024-04-21T09:26:47.346607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 24
 
7.9%
2 18
 
6.0%
3 9
 
3.0%
56 5
 
1.7%
32 5
 
1.7%
4 5
 
1.7%
10 5
 
1.7%
65 4
 
1.3%
13 4
 
1.3%
Other values (113) 165
54.6%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 24
7.9%
1 26
8.6%
2 18
6.0%
3 9
 
3.0%
4 5
 
1.7%
5 2
 
0.7%
6 3
 
1.0%
7 1
 
0.3%
8 3
 
1.0%
9 1
 
0.3%
ValueCountFrequency (%)
10996 1
0.3%
3730 1
0.3%
2153 1
0.3%
766 1
0.3%
647 1
0.3%
577 1
0.3%
538 1
0.3%
447 1
0.3%
390 1
0.3%
374 1
0.3%

2006-12
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)41.1%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean95.285185
Minimum0
Maximum8145
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:47.600796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median26.5
Q362
95-th percentile236.4
Maximum8145
Range8145
Interquartile range (IQR)59

Descriptive statistics

Standard deviation525.9766
Coefficient of variation (CV)5.520025
Kurtosis207.16317
Mean95.285185
Median Absolute Deviation (MAD)25.5
Skewness13.821292
Sum25727
Variance276651.39
MonotonicityNot monotonic
2024-04-21T09:26:47.860249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 25
 
8.3%
2 12
 
4.0%
3 11
 
3.6%
17 6
 
2.0%
46 5
 
1.7%
37 5
 
1.7%
4 5
 
1.7%
34 4
 
1.3%
12 4
 
1.3%
Other values (101) 164
54.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 29
9.6%
1 25
8.3%
2 12
4.0%
3 11
 
3.6%
4 5
 
1.7%
5 1
 
0.3%
6 2
 
0.7%
7 2
 
0.7%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
8145 1
0.3%
2446 1
0.3%
1364 1
0.3%
671 1
0.3%
536 1
0.3%
500 1
0.3%
472 1
0.3%
359 1
0.3%
350 1
0.3%
302 1
0.3%

2007-01
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)35.2%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean67.914815
Minimum0
Maximum5806
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:48.117016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median18
Q344
95-th percentile190.6
Maximum5806
Range5806
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation372.91883
Coefficient of variation (CV)5.4909792
Kurtosis211.62876
Mean67.914815
Median Absolute Deviation (MAD)17
Skewness14.008475
Sum18337
Variance139068.46
MonotonicityNot monotonic
2024-04-21T09:26:48.595299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 25
 
8.3%
2 13
 
4.3%
3 8
 
2.6%
19 7
 
2.3%
29 6
 
2.0%
10 6
 
2.0%
5 6
 
2.0%
22 6
 
2.0%
28 5
 
1.7%
Other values (85) 158
52.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 30
9.9%
1 25
8.3%
2 13
4.3%
3 8
 
2.6%
4 4
 
1.3%
5 6
 
2.0%
6 5
 
1.7%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
5806 1
0.3%
1741 1
0.3%
710 1
0.3%
400 1
0.3%
365 1
0.3%
355 1
0.3%
304 1
0.3%
266 1
0.3%
258 1
0.3%
250 1
0.3%

2007-02
Real number (ℝ)

MISSING  ZEROS 

Distinct79
Distinct (%)29.3%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean54.059259
Minimum0
Maximum4666
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:48.842424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q329.75
95-th percentile171.4
Maximum4666
Range4666
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation296.80159
Coefficient of variation (CV)5.4903008
Kurtosis219.23124
Mean54.059259
Median Absolute Deviation (MAD)12
Skewness14.258938
Sum14596
Variance88091.186
MonotonicityNot monotonic
2024-04-21T09:26:49.085553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 35
 
11.6%
0 24
 
7.9%
5 14
 
4.6%
2 13
 
4.3%
19 8
 
2.6%
18 8
 
2.6%
6 7
 
2.3%
8 7
 
2.3%
3 7
 
2.3%
10 6
 
2.0%
Other values (69) 141
46.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 24
7.9%
1 35
11.6%
2 13
 
4.3%
3 7
 
2.3%
4 6
 
2.0%
5 14
 
4.6%
6 7
 
2.3%
7 4
 
1.3%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
4666 1
0.3%
1086 1
0.3%
683 1
0.3%
376 1
0.3%
339 1
0.3%
313 1
0.3%
261 1
0.3%
252 1
0.3%
245 1
0.3%
231 1
0.3%

2007-03
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)31.1%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean57.962963
Minimum0
Maximum4995
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:49.325655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q334.75
95-th percentile184.75
Maximum4995
Range4995
Interquartile range (IQR)31.75

Descriptive statistics

Standard deviation316.61963
Coefficient of variation (CV)5.4624473
Kurtosis222.32246
Mean57.962963
Median Absolute Deviation (MAD)14
Skewness14.393385
Sum15650
Variance100247.99
MonotonicityNot monotonic
2024-04-21T09:26:49.573944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 26
 
8.6%
2 12
 
4.0%
5 11
 
3.6%
4 10
 
3.3%
3 9
 
3.0%
10 7
 
2.3%
14 6
 
2.0%
7 6
 
2.0%
17 6
 
2.0%
Other values (74) 149
49.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 28
9.3%
1 26
8.6%
2 12
4.0%
3 9
 
3.0%
4 10
 
3.3%
5 11
 
3.6%
6 4
 
1.3%
7 6
 
2.0%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
4995 1
0.3%
1178 1
0.3%
550 1
0.3%
384 1
0.3%
371 1
0.3%
347 1
0.3%
294 1
0.3%
284 1
0.3%
251 1
0.3%
232 1
0.3%

2007-04
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)30.0%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean56.22963
Minimum0
Maximum4865
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:49.829423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median15.5
Q337
95-th percentile152.55
Maximum4865
Range4865
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation309.29297
Coefficient of variation (CV)5.5005336
Kurtosis219.87296
Mean56.22963
Median Absolute Deviation (MAD)14.5
Skewness14.30251
Sum15182
Variance95662.14
MonotonicityNot monotonic
2024-04-21T09:26:50.080639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 28
 
9.3%
2 12
 
4.0%
4 10
 
3.3%
6 10
 
3.3%
14 7
 
2.3%
17 6
 
2.0%
12 6
 
2.0%
25 5
 
1.7%
56 5
 
1.7%
Other values (71) 153
50.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 28
9.3%
1 28
9.3%
2 12
4.0%
3 5
 
1.7%
4 10
 
3.3%
5 5
 
1.7%
6 10
 
3.3%
7 3
 
1.0%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
4865 1
0.3%
1213 1
0.3%
532 1
0.3%
438 1
0.3%
366 1
0.3%
356 1
0.3%
296 1
0.3%
271 1
0.3%
250 1
0.3%
225 1
0.3%

2007-05
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)32.6%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean66.57037
Minimum0
Maximum5770
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:50.321843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q331
95-th percentile159.3
Maximum5770
Range5770
Interquartile range (IQR)29

Descriptive statistics

Standard deviation379.05551
Coefficient of variation (CV)5.6940574
Kurtosis193.45169
Mean66.57037
Median Absolute Deviation (MAD)13
Skewness13.212055
Sum17974
Variance143683.08
MonotonicityNot monotonic
2024-04-21T09:26:50.565723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 25
 
8.3%
2 14
 
4.6%
17 11
 
3.6%
6 9
 
3.0%
7 9
 
3.0%
16 8
 
2.6%
5 7
 
2.3%
4 7
 
2.3%
30 7
 
2.3%
Other values (78) 141
46.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 32
10.6%
1 25
8.3%
2 14
4.6%
3 7
 
2.3%
4 7
 
2.3%
5 7
 
2.3%
6 9
 
3.0%
7 9
 
3.0%
8 6
 
2.0%
9 2
 
0.7%
ValueCountFrequency (%)
5770 1
0.3%
1604 1
0.3%
1323 1
0.3%
1021 1
0.3%
475 1
0.3%
358 1
0.3%
343 1
0.3%
306 1
0.3%
299 1
0.3%
247 1
0.3%

2007-06
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)31.9%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean49.844444
Minimum0
Maximum4301
Zeros35
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:50.823628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q334.75
95-th percentile119.55
Maximum4301
Range4301
Interquartile range (IQR)32.75

Descriptive statistics

Standard deviation273.57094
Coefficient of variation (CV)5.4884942
Kurtosis219.45707
Mean49.844444
Median Absolute Deviation (MAD)13
Skewness14.289887
Sum13458
Variance74841.061
MonotonicityNot monotonic
2024-04-21T09:26:51.077724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
11.6%
1 28
 
9.3%
3 12
 
4.0%
2 9
 
3.0%
22 8
 
2.6%
4 8
 
2.6%
19 7
 
2.3%
8 7
 
2.3%
12 6
 
2.0%
7 6
 
2.0%
Other values (76) 144
47.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 35
11.6%
1 28
9.3%
2 9
 
3.0%
3 12
 
4.0%
4 8
 
2.6%
5 6
 
2.0%
6 5
 
1.7%
7 6
 
2.0%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
4301 1
0.3%
1088 1
0.3%
502 1
0.3%
334 1
0.3%
329 1
0.3%
310 1
0.3%
291 1
0.3%
235 1
0.3%
226 1
0.3%
191 1
0.3%

2007-07
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)32.2%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean66.674074
Minimum0
Maximum5773
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:51.311605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14.5
Q337
95-th percentile151.4
Maximum5773
Range5773
Interquartile range (IQR)34

Descriptive statistics

Standard deviation374.49193
Coefficient of variation (CV)5.6167549
Kurtosis202.85829
Mean66.674074
Median Absolute Deviation (MAD)13.5
Skewness13.572165
Sum18002
Variance140244.21
MonotonicityNot monotonic
2024-04-21T09:26:51.555846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 24
 
7.9%
2 12
 
4.0%
3 12
 
4.0%
5 11
 
3.6%
4 9
 
3.0%
37 7
 
2.3%
15 6
 
2.0%
18 6
 
2.0%
12 5
 
1.7%
Other values (77) 147
48.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 31
10.3%
1 24
7.9%
2 12
 
4.0%
3 12
 
4.0%
4 9
 
3.0%
5 11
 
3.6%
6 5
 
1.7%
7 4
 
1.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
5773 1
0.3%
1258 1
0.3%
1206 1
0.3%
1118 1
0.3%
569 1
0.3%
374 2
0.7%
328 1
0.3%
251 1
0.3%
229 1
0.3%
224 1
0.3%

2007-08
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)30.0%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean67.3
Minimum0
Maximum5874
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:51.802626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q335
95-th percentile187.35
Maximum5874
Range5874
Interquartile range (IQR)33

Descriptive statistics

Standard deviation381.91155
Coefficient of variation (CV)5.674763
Kurtosis201.17389
Mean67.3
Median Absolute Deviation (MAD)13
Skewness13.507484
Sum18171
Variance145856.43
MonotonicityNot monotonic
2024-04-21T09:26:52.048012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 27
 
8.9%
2 16
 
5.3%
15 10
 
3.3%
3 9
 
3.0%
5 8
 
2.6%
4 7
 
2.3%
6 6
 
2.0%
19 6
 
2.0%
10 6
 
2.0%
Other values (71) 144
47.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 31
10.3%
1 27
8.9%
2 16
5.3%
3 9
 
3.0%
4 7
 
2.3%
5 8
 
2.6%
6 6
 
2.0%
7 5
 
1.7%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
5874 1
0.3%
1298 1
0.3%
1241 1
0.3%
1209 1
0.3%
528 1
0.3%
383 1
0.3%
332 1
0.3%
304 1
0.3%
272 1
0.3%
205 1
0.3%

2007-09
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)29.6%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean66.3
Minimum0
Maximum5807
Zeros36
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:52.294653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q331
95-th percentile140.65
Maximum5807
Range5807
Interquartile range (IQR)29

Descriptive statistics

Standard deviation391.85533
Coefficient of variation (CV)5.9103368
Kurtosis175.35075
Mean66.3
Median Absolute Deviation (MAD)11
Skewness12.522046
Sum17901
Variance153550.6
MonotonicityNot monotonic
2024-04-21T09:26:52.538190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
11.9%
1 23
 
7.6%
2 15
 
5.0%
3 13
 
4.3%
12 10
 
3.3%
4 9
 
3.0%
6 8
 
2.6%
5 7
 
2.3%
10 6
 
2.0%
14 6
 
2.0%
Other values (70) 137
45.4%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 36
11.9%
1 23
7.6%
2 15
5.0%
3 13
 
4.3%
4 9
 
3.0%
5 7
 
2.3%
6 8
 
2.6%
7 2
 
0.7%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
5807 1
0.3%
1871 1
0.3%
1794 1
0.3%
1006 1
0.3%
493 1
0.3%
445 1
0.3%
310 1
0.3%
265 1
0.3%
210 1
0.3%
182 1
0.3%

2007-10
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)33.7%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean72.003704
Minimum0
Maximum6247
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:52.780880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median18
Q342
95-th percentile247.95
Maximum6247
Range6247
Interquartile range (IQR)39

Descriptive statistics

Standard deviation398.33834
Coefficient of variation (CV)5.5321923
Kurtosis217.41061
Mean72.003704
Median Absolute Deviation (MAD)17
Skewness14.203832
Sum19441
Variance158673.43
MonotonicityNot monotonic
2024-04-21T09:26:53.025630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 23
 
7.6%
2 16
 
5.3%
3 13
 
4.3%
4 9
 
3.0%
22 7
 
2.3%
38 7
 
2.3%
5 6
 
2.0%
18 5
 
1.7%
6 5
 
1.7%
Other values (81) 153
50.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 23
7.6%
1 26
8.6%
2 16
5.3%
3 13
4.3%
4 9
 
3.0%
5 6
 
2.0%
6 5
 
1.7%
7 2
 
0.7%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
6247 1
0.3%
1631 1
0.3%
630 1
0.3%
499 1
0.3%
476 1
0.3%
472 1
0.3%
386 1
0.3%
360 1
0.3%
338 1
0.3%
301 1
0.3%

2007-11
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)33.7%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean69.011111
Minimum0
Maximum5975
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:53.271686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q339.75
95-th percentile204
Maximum5975
Range5975
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation381.34544
Coefficient of variation (CV)5.5258557
Kurtosis216.62867
Mean69.011111
Median Absolute Deviation (MAD)16
Skewness14.178443
Sum18633
Variance145424.35
MonotonicityNot monotonic
2024-04-21T09:26:53.749116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 26
 
8.6%
3 11
 
3.6%
2 9
 
3.0%
4 9
 
3.0%
17 9
 
3.0%
27 8
 
2.6%
5 7
 
2.3%
6 7
 
2.3%
11 6
 
2.0%
Other values (81) 152
50.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 26
8.6%
1 26
8.6%
2 9
 
3.0%
3 11
3.6%
4 9
 
3.0%
5 7
 
2.3%
6 7
 
2.3%
7 6
 
2.0%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
5975 1
0.3%
1566 1
0.3%
819 1
0.3%
464 1
0.3%
412 1
0.3%
378 1
0.3%
328 1
0.3%
325 1
0.3%
315 1
0.3%
234 1
0.3%

2007-12
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)33.7%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean63.02963
Minimum0
Maximum5440
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:53.999820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16.5
Q337.75
95-th percentile173.2
Maximum5440
Range5440
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation342.47746
Coefficient of variation (CV)5.4335947
Kurtosis228.20735
Mean63.02963
Median Absolute Deviation (MAD)15.5
Skewness14.609942
Sum17018
Variance117290.81
MonotonicityNot monotonic
2024-04-21T09:26:54.263859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 25
 
8.3%
3 18
 
6.0%
8 8
 
2.6%
22 7
 
2.3%
6 6
 
2.0%
32 6
 
2.0%
33 6
 
2.0%
4 6
 
2.0%
17 6
 
2.0%
Other values (81) 150
49.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 32
10.6%
1 25
8.3%
2 5
 
1.7%
3 18
6.0%
4 6
 
2.0%
5 2
 
0.7%
6 6
 
2.0%
7 5
 
1.7%
8 8
 
2.6%
9 5
 
1.7%
ValueCountFrequency (%)
5440 1
0.3%
1009 1
0.3%
586 1
0.3%
511 1
0.3%
449 1
0.3%
419 1
0.3%
360 1
0.3%
341 1
0.3%
296 1
0.3%
272 1
0.3%

2008-01
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)34.1%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean64.685185
Minimum0
Maximum5563
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:54.498643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q340.5
95-th percentile213.95
Maximum5563
Range5563
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation350.42662
Coefficient of variation (CV)5.417417
Kurtosis227.64156
Mean64.685185
Median Absolute Deviation (MAD)14
Skewness14.5849
Sum17465
Variance122798.82
MonotonicityNot monotonic
2024-04-21T09:26:54.734262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 26
 
8.6%
2 15
 
5.0%
3 11
 
3.6%
5 9
 
3.0%
7 7
 
2.3%
14 6
 
2.0%
4 6
 
2.0%
18 6
 
2.0%
6 6
 
2.0%
Other values (82) 152
50.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 26
8.6%
1 26
8.6%
2 15
5.0%
3 11
3.6%
4 6
 
2.0%
5 9
 
3.0%
6 6
 
2.0%
7 7
 
2.3%
8 3
 
1.0%
10 3
 
1.0%
ValueCountFrequency (%)
5563 1
0.3%
1057 1
0.3%
543 1
0.3%
501 1
0.3%
444 1
0.3%
427 1
0.3%
405 1
0.3%
336 1
0.3%
330 1
0.3%
290 1
0.3%

2008-02
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)32.2%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean59.814815
Minimum0
Maximum5146
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:54.981371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q335
95-th percentile209.6
Maximum5146
Range5146
Interquartile range (IQR)32

Descriptive statistics

Standard deviation323.95646
Coefficient of variation (CV)5.4159903
Kurtosis228.18432
Mean59.814815
Median Absolute Deviation (MAD)15
Skewness14.60347
Sum16150
Variance104947.79
MonotonicityNot monotonic
2024-04-21T09:26:55.232369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
10.6%
0 24
 
7.9%
4 12
 
4.0%
2 11
 
3.6%
3 11
 
3.6%
21 8
 
2.6%
35 7
 
2.3%
10 6
 
2.0%
8 6
 
2.0%
5 6
 
2.0%
Other values (77) 147
48.7%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 24
7.9%
1 32
10.6%
2 11
 
3.6%
3 11
 
3.6%
4 12
 
4.0%
5 6
 
2.0%
6 1
 
0.3%
7 5
 
1.7%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
5146 1
0.3%
937 1
0.3%
517 1
0.3%
453 1
0.3%
440 1
0.3%
404 1
0.3%
348 1
0.3%
309 1
0.3%
304 1
0.3%
268 1
0.3%

2008-03
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)35.6%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean71.877778
Minimum0
Maximum6216
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:55.473143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q346
95-th percentile222
Maximum6216
Range6216
Interquartile range (IQR)43

Descriptive statistics

Standard deviation392.99608
Coefficient of variation (CV)5.4675603
Kurtosis224.49385
Mean71.877778
Median Absolute Deviation (MAD)18
Skewness14.467658
Sum19407
Variance154445.92
MonotonicityNot monotonic
2024-04-21T09:26:55.718210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 21
 
7.0%
2 14
 
4.6%
5 10
 
3.3%
26 8
 
2.6%
3 8
 
2.6%
9 6
 
2.0%
4 6
 
2.0%
12 5
 
1.7%
6 5
 
1.7%
Other values (86) 160
53.0%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 21
7.0%
1 27
8.9%
2 14
4.6%
3 8
 
2.6%
4 6
 
2.0%
5 10
 
3.3%
6 5
 
1.7%
7 3
 
1.0%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
6216 1
0.3%
1300 1
0.3%
776 1
0.3%
571 1
0.3%
470 1
0.3%
460 1
0.3%
456 1
0.3%
340 1
0.3%
305 1
0.3%
273 1
0.3%

2008-04
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)36.3%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean77.803704
Minimum0
Maximum6728
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:55.963509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q349
95-th percentile206.35
Maximum6728
Range6728
Interquartile range (IQR)46

Descriptive statistics

Standard deviation427.58207
Coefficient of variation (CV)5.4956519
Kurtosis220.04914
Mean77.803704
Median Absolute Deviation (MAD)20
Skewness14.301026
Sum21007
Variance182826.43
MonotonicityNot monotonic
2024-04-21T09:26:56.213671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 24
 
7.9%
2 14
 
4.6%
5 8
 
2.6%
6 7
 
2.3%
3 7
 
2.3%
22 6
 
2.0%
11 6
 
2.0%
17 5
 
1.7%
31 5
 
1.7%
Other values (88) 162
53.6%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 24
7.9%
1 26
8.6%
2 14
4.6%
3 7
 
2.3%
4 5
 
1.7%
5 8
 
2.6%
6 7
 
2.3%
7 5
 
1.7%
9 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
6728 1
0.3%
1559 1
0.3%
999 1
0.3%
660 1
0.3%
540 1
0.3%
462 1
0.3%
354 1
0.3%
315 1
0.3%
296 1
0.3%
256 2
0.7%

2008-05
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)33.9%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean66.99631
Minimum0
Maximum5805
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:56.465230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q343
95-th percentile175
Maximum5805
Range5805
Interquartile range (IQR)40

Descriptive statistics

Standard deviation368.61584
Coefficient of variation (CV)5.502032
Kurtosis220.12953
Mean66.99631
Median Absolute Deviation (MAD)18
Skewness14.310415
Sum18156
Variance135877.64
MonotonicityNot monotonic
2024-04-21T09:26:56.714577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 31
 
10.3%
0 23
 
7.6%
2 12
 
4.0%
4 8
 
2.6%
5 7
 
2.3%
6 7
 
2.3%
43 6
 
2.0%
20 5
 
1.7%
26 5
 
1.7%
35 5
 
1.7%
Other values (82) 162
53.6%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 23
7.6%
1 31
10.3%
2 12
 
4.0%
3 5
 
1.7%
4 8
 
2.6%
5 7
 
2.3%
6 7
 
2.3%
7 4
 
1.3%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
5805 1
0.3%
1450 1
0.3%
748 1
0.3%
541 1
0.3%
447 1
0.3%
419 1
0.3%
296 1
0.3%
274 1
0.3%
242 1
0.3%
241 1
0.3%

2008-06
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)34.1%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean66.659341
Minimum0
Maximum5776
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:56.961164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q344
95-th percentile177.4
Maximum5776
Range5776
Interquartile range (IQR)41

Descriptive statistics

Standard deviation365.04463
Coefficient of variation (CV)5.4762712
Kurtosis222.64728
Mean66.659341
Median Absolute Deviation (MAD)17
Skewness14.397991
Sum18198
Variance133257.58
MonotonicityNot monotonic
2024-04-21T09:26:57.205668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 23
 
7.6%
2 12
 
4.0%
6 10
 
3.3%
13 8
 
2.6%
3 7
 
2.3%
9 6
 
2.0%
5 6
 
2.0%
4 6
 
2.0%
16 5
 
1.7%
Other values (83) 160
53.0%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 30
9.9%
1 23
7.6%
2 12
 
4.0%
3 7
 
2.3%
4 6
 
2.0%
5 6
 
2.0%
6 10
 
3.3%
7 3
 
1.0%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
5776 1
0.3%
1432 1
0.3%
719 1
0.3%
502 1
0.3%
439 1
0.3%
345 1
0.3%
337 1
0.3%
308 1
0.3%
250 1
0.3%
246 1
0.3%

2008-07
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)34.4%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean69.391941
Minimum0
Maximum6027
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:57.452428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q342
95-th percentile213.8
Maximum6027
Range6027
Interquartile range (IQR)39

Descriptive statistics

Standard deviation381.514
Coefficient of variation (CV)5.4979583
Kurtosis221.32997
Mean69.391941
Median Absolute Deviation (MAD)15
Skewness14.343594
Sum18944
Variance145552.93
MonotonicityNot monotonic
2024-04-21T09:26:57.694202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 27
 
8.9%
3 12
 
4.0%
2 9
 
3.0%
6 9
 
3.0%
11 8
 
2.6%
9 7
 
2.3%
5 7
 
2.3%
38 6
 
2.0%
12 6
 
2.0%
Other values (84) 155
51.3%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 27
8.9%
1 27
8.9%
2 9
 
3.0%
3 12
4.0%
4 2
 
0.7%
5 7
 
2.3%
6 9
 
3.0%
7 5
 
1.7%
8 3
 
1.0%
9 7
 
2.3%
ValueCountFrequency (%)
6027 1
0.3%
1545 1
0.3%
610 1
0.3%
494 1
0.3%
459 1
0.3%
452 1
0.3%
353 1
0.3%
313 1
0.3%
304 1
0.3%
290 1
0.3%

2008-08
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)30.4%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean52.296703
Minimum0
Maximum4510
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:57.945755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q336
95-th percentile170.6
Maximum4510
Range4510
Interquartile range (IQR)33

Descriptive statistics

Standard deviation283.53762
Coefficient of variation (CV)5.4217112
Kurtosis227.1002
Mean52.296703
Median Absolute Deviation (MAD)12
Skewness14.558979
Sum14277
Variance80393.584
MonotonicityNot monotonic
2024-04-21T09:26:58.186843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 20
 
6.6%
3 15
 
5.0%
2 15
 
5.0%
14 11
 
3.6%
6 10
 
3.3%
4 8
 
2.6%
10 7
 
2.3%
5 6
 
2.0%
38 6
 
2.0%
Other values (73) 142
47.0%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 33
10.9%
1 20
6.6%
2 15
5.0%
3 15
5.0%
4 8
 
2.6%
5 6
 
2.0%
6 10
 
3.3%
7 5
 
1.7%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
4510 1
0.3%
1006 1
0.3%
414 1
0.3%
389 1
0.3%
364 1
0.3%
322 1
0.3%
283 1
0.3%
240 1
0.3%
219 1
0.3%
208 1
0.3%

2008-09
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)30.8%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean50.197802
Minimum0
Maximum4361
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:58.426114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q331
95-th percentile168
Maximum4361
Range4361
Interquartile range (IQR)29

Descriptive statistics

Standard deviation273.91254
Coefficient of variation (CV)5.456664
Kurtosis227.98296
Mean50.197802
Median Absolute Deviation (MAD)10
Skewness14.589644
Sum13704
Variance75028.078
MonotonicityNot monotonic
2024-04-21T09:26:58.899744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 26
 
8.6%
2 12
 
4.0%
4 11
 
3.6%
3 10
 
3.3%
5 9
 
3.0%
7 9
 
3.0%
15 8
 
2.6%
10 8
 
2.6%
14 7
 
2.3%
Other values (74) 142
47.0%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 31
10.3%
1 26
8.6%
2 12
 
4.0%
3 10
 
3.3%
4 11
 
3.6%
5 9
 
3.0%
6 4
 
1.3%
7 9
 
3.0%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
4361 1
0.3%
942 1
0.3%
369 1
0.3%
356 1
0.3%
322 1
0.3%
305 1
0.3%
292 1
0.3%
276 1
0.3%
267 1
0.3%
250 1
0.3%

2008-10
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)31.1%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean54.483516
Minimum0
Maximum4725
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:59.132989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q333
95-th percentile193.8
Maximum4725
Range4725
Interquartile range (IQR)30

Descriptive statistics

Standard deviation296.26448
Coefficient of variation (CV)5.4376901
Kurtosis229.36796
Mean54.483516
Median Absolute Deviation (MAD)10
Skewness14.623616
Sum14874
Variance87772.64
MonotonicityNot monotonic
2024-04-21T09:26:59.372655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 25
 
8.3%
2 16
 
5.3%
5 14
 
4.6%
3 13
 
4.3%
4 11
 
3.6%
6 7
 
2.3%
12 7
 
2.3%
16 7
 
2.3%
13 7
 
2.3%
Other values (75) 140
46.4%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 26
8.6%
1 25
8.3%
2 16
5.3%
3 13
4.3%
4 11
3.6%
5 14
4.6%
6 7
 
2.3%
7 6
 
2.0%
8 7
 
2.3%
9 5
 
1.7%
ValueCountFrequency (%)
4725 1
0.3%
865 1
0.3%
546 1
0.3%
367 1
0.3%
359 1
0.3%
331 1
0.3%
295 1
0.3%
284 1
0.3%
283 1
0.3%
278 1
0.3%

2008-11
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)27.1%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean43.479853
Minimum0
Maximum3786
Zeros35
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:26:59.607738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q326
95-th percentile151.2
Maximum3786
Range3786
Interquartile range (IQR)24

Descriptive statistics

Standard deviation237.88447
Coefficient of variation (CV)5.4711425
Kurtosis227.65172
Mean43.479853
Median Absolute Deviation (MAD)8
Skewness14.571261
Sum11870
Variance56589.023
MonotonicityNot monotonic
2024-04-21T09:26:59.863720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
11.6%
1 23
 
7.6%
2 19
 
6.3%
3 11
 
3.6%
12 10
 
3.3%
6 10
 
3.3%
8 10
 
3.3%
7 9
 
3.0%
9 8
 
2.6%
4 8
 
2.6%
Other values (64) 130
43.0%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 35
11.6%
1 23
7.6%
2 19
6.3%
3 11
 
3.6%
4 8
 
2.6%
5 6
 
2.0%
6 10
 
3.3%
7 9
 
3.0%
8 10
 
3.3%
9 8
 
2.6%
ValueCountFrequency (%)
3786 1
0.3%
811 1
0.3%
302 1
0.3%
295 1
0.3%
268 1
0.3%
257 1
0.3%
248 1
0.3%
239 1
0.3%
230 1
0.3%
218 1
0.3%

2008-12
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)26.7%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean44.78022
Minimum0
Maximum3926
Zeros36
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:00.203681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q326
95-th percentile134
Maximum3926
Range3926
Interquartile range (IQR)24

Descriptive statistics

Standard deviation247.74148
Coefficient of variation (CV)5.5323864
Kurtosis223.84959
Mean44.78022
Median Absolute Deviation (MAD)8
Skewness14.41152
Sum12225
Variance61375.841
MonotonicityNot monotonic
2024-04-21T09:27:00.657655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
11.9%
1 22
 
7.3%
3 17
 
5.6%
2 14
 
4.6%
4 12
 
4.0%
5 10
 
3.3%
8 9
 
3.0%
9 8
 
2.6%
13 8
 
2.6%
7 7
 
2.3%
Other values (63) 130
43.0%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 36
11.9%
1 22
7.3%
2 14
 
4.6%
3 17
5.6%
4 12
 
4.0%
5 10
 
3.3%
6 7
 
2.3%
7 7
 
2.3%
8 9
 
3.0%
9 8
 
2.6%
ValueCountFrequency (%)
3926 1
0.3%
840 1
0.3%
523 1
0.3%
365 1
0.3%
303 1
0.3%
283 1
0.3%
273 1
0.3%
223 1
0.3%
212 1
0.3%
202 1
0.3%

2009-01
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)26.6%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean39.105839
Minimum0
Maximum3422
Zeros42
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:01.076358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q324.75
95-th percentile112.45
Maximum3422
Range3422
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation215.01238
Coefficient of variation (CV)5.4982166
Kurtosis226.81318
Mean39.105839
Median Absolute Deviation (MAD)7
Skewness14.522196
Sum10715
Variance46230.322
MonotonicityNot monotonic
2024-04-21T09:27:01.516689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
13.9%
1 24
 
7.9%
4 14
 
4.6%
2 14
 
4.6%
7 13
 
4.3%
3 12
 
4.0%
8 11
 
3.6%
5 10
 
3.3%
6 9
 
3.0%
13 6
 
2.0%
Other values (63) 119
39.4%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 42
13.9%
1 24
7.9%
2 14
 
4.6%
3 12
 
4.0%
4 14
 
4.6%
5 10
 
3.3%
6 9
 
3.0%
7 13
 
4.3%
8 11
 
3.6%
9 6
 
2.0%
ValueCountFrequency (%)
3422 1
0.3%
700 1
0.3%
416 1
0.3%
348 1
0.3%
270 1
0.3%
228 1
0.3%
219 1
0.3%
213 1
0.3%
199 1
0.3%
186 1
0.3%

2009-02
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)31.4%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean52.79562
Minimum0
Maximum4551
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:01.931909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median11
Q336.75
95-th percentile148
Maximum4551
Range4551
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation287.55285
Coefficient of variation (CV)5.4465284
Kurtosis221.97632
Mean52.79562
Median Absolute Deviation (MAD)10
Skewness14.353872
Sum14466
Variance82686.639
MonotonicityNot monotonic
2024-04-21T09:27:02.347193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 23
 
7.6%
2 17
 
5.6%
4 15
 
5.0%
5 14
 
4.6%
10 9
 
3.0%
9 7
 
2.3%
14 7
 
2.3%
11 7
 
2.3%
13 7
 
2.3%
Other values (76) 139
46.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 29
9.6%
1 23
7.6%
2 17
5.6%
3 5
 
1.7%
4 15
5.0%
5 14
4.6%
6 5
 
1.7%
7 3
 
1.0%
8 5
 
1.7%
9 7
 
2.3%
ValueCountFrequency (%)
4551 1
0.3%
1133 1
0.3%
516 1
0.3%
409 1
0.3%
390 1
0.3%
280 1
0.3%
270 1
0.3%
261 1
0.3%
247 1
0.3%
200 1
0.3%

2009-03
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)34.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean67.014599
Minimum0
Maximum5777
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:02.741727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q344.75
95-th percentile189.85
Maximum5777
Range5777
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation364.3929
Coefficient of variation (CV)5.4375152
Kurtosis223.38833
Mean67.014599
Median Absolute Deviation (MAD)14
Skewness14.400948
Sum18362
Variance132782.18
MonotonicityNot monotonic
2024-04-21T09:27:03.168499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 23
 
7.6%
4 15
 
5.0%
3 14
 
4.6%
6 12
 
4.0%
2 11
 
3.6%
7 7
 
2.3%
17 7
 
2.3%
18 6
 
2.0%
23 5
 
1.7%
Other values (84) 148
49.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 26
8.6%
1 23
7.6%
2 11
3.6%
3 14
4.6%
4 15
5.0%
5 2
 
0.7%
6 12
4.0%
7 7
 
2.3%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
5777 1
0.3%
1374 1
0.3%
628 1
0.3%
535 1
0.3%
432 1
0.3%
427 1
0.3%
375 1
0.3%
315 1
0.3%
310 1
0.3%
278 1
0.3%

2009-04
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)35.8%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean67.156934
Minimum0
Maximum5735
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:03.573198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q343.75
95-th percentile199
Maximum5735
Range5735
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation364.48601
Coefficient of variation (CV)5.4273772
Kurtosis216.95452
Mean67.156934
Median Absolute Deviation (MAD)15
Skewness14.156714
Sum18401
Variance132850.05
MonotonicityNot monotonic
2024-04-21T09:27:04.000021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 25
 
8.3%
2 13
 
4.3%
3 10
 
3.3%
11 9
 
3.0%
6 9
 
3.0%
21 7
 
2.3%
4 7
 
2.3%
18 7
 
2.3%
7 6
 
2.0%
Other values (88) 152
50.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 25
8.3%
1 29
9.6%
2 13
4.3%
3 10
 
3.3%
4 7
 
2.3%
5 5
 
1.7%
6 9
 
3.0%
7 6
 
2.0%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
5735 1
0.3%
1529 1
0.3%
801 1
0.3%
459 1
0.3%
426 1
0.3%
375 1
0.3%
359 1
0.3%
307 1
0.3%
273 1
0.3%
267 1
0.3%

2009-05
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)34.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean61.368613
Minimum0
Maximum5228
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:04.415032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q341
95-th percentile170.05
Maximum5228
Range5228
Interquartile range (IQR)39

Descriptive statistics

Standard deviation333.69057
Coefficient of variation (CV)5.4374795
Kurtosis213.56427
Mean61.368613
Median Absolute Deviation (MAD)16
Skewness14.043686
Sum16815
Variance111349.4
MonotonicityNot monotonic
2024-04-21T09:27:04.851324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 28
 
9.3%
2 16
 
5.3%
20 8
 
2.6%
5 8
 
2.6%
6 8
 
2.6%
3 8
 
2.6%
21 7
 
2.3%
4 6
 
2.0%
26 5
 
1.7%
Other values (84) 151
50.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 29
9.6%
1 28
9.3%
2 16
5.3%
3 8
 
2.6%
4 6
 
2.0%
5 8
 
2.6%
6 8
 
2.6%
7 5
 
1.7%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
5228 1
0.3%
1500 1
0.3%
812 1
0.3%
432 1
0.3%
329 1
0.3%
318 1
0.3%
260 1
0.3%
241 1
0.3%
236 1
0.3%
231 1
0.3%

2009-06
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)35.8%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean69.861314
Minimum0
Maximum5987
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:05.252764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q347.75
95-th percentile206.35
Maximum5987
Range5987
Interquartile range (IQR)44.75

Descriptive statistics

Standard deviation379.12604
Coefficient of variation (CV)5.4268381
Kurtosis220.02714
Mean69.861314
Median Absolute Deviation (MAD)18
Skewness14.282943
Sum19142
Variance143736.55
MonotonicityNot monotonic
2024-04-21T09:27:05.683211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 28
 
9.3%
2 12
 
4.0%
3 8
 
2.6%
5 7
 
2.3%
23 6
 
2.0%
11 6
 
2.0%
18 6
 
2.0%
7 6
 
2.0%
24 6
 
2.0%
Other values (88) 161
53.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 28
9.3%
1 28
9.3%
2 12
4.0%
3 8
 
2.6%
4 5
 
1.7%
5 7
 
2.3%
6 5
 
1.7%
7 6
 
2.0%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
5987 1
0.3%
1514 1
0.3%
876 1
0.3%
607 1
0.3%
376 1
0.3%
355 1
0.3%
350 1
0.3%
288 1
0.3%
260 1
0.3%
232 1
0.3%

2009-07
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)36.9%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean76.554745
Minimum0
Maximum6550
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:06.095100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q345
95-th percentile225.05
Maximum6550
Range6550
Interquartile range (IQR)42

Descriptive statistics

Standard deviation415.70174
Coefficient of variation (CV)5.4301239
Kurtosis218.09253
Mean76.554745
Median Absolute Deviation (MAD)18
Skewness14.196158
Sum20976
Variance172807.94
MonotonicityNot monotonic
2024-04-21T09:27:06.759074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 23
 
7.6%
7 11
 
3.6%
6 11
 
3.6%
3 10
 
3.3%
2 9
 
3.0%
27 6
 
2.0%
10 6
 
2.0%
41 5
 
1.7%
13 5
 
1.7%
Other values (91) 156
51.7%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 32
10.6%
1 23
7.6%
2 9
 
3.0%
3 10
 
3.3%
4 2
 
0.7%
5 3
 
1.0%
6 11
 
3.6%
7 11
 
3.6%
8 1
 
0.3%
9 4
 
1.3%
ValueCountFrequency (%)
6550 1
0.3%
1696 1
0.3%
897 1
0.3%
542 1
0.3%
508 1
0.3%
398 1
0.3%
394 1
0.3%
390 1
0.3%
350 1
0.3%
345 1
0.3%

2009-08
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)33.9%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean69.485401
Minimum0
Maximum5973
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:07.170622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20
Q343
95-th percentile195.8
Maximum5973
Range5973
Interquartile range (IQR)41

Descriptive statistics

Standard deviation378.65089
Coefficient of variation (CV)5.449359
Kurtosis219.20906
Mean69.485401
Median Absolute Deviation (MAD)19
Skewness14.255606
Sum19039
Variance143376.5
MonotonicityNot monotonic
2024-04-21T09:27:07.610525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 25
 
8.3%
2 14
 
4.6%
6 9
 
3.0%
3 8
 
2.6%
5 8
 
2.6%
24 6
 
2.0%
19 6
 
2.0%
4 6
 
2.0%
26 5
 
1.7%
Other values (83) 156
51.7%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 31
10.3%
1 25
8.3%
2 14
4.6%
3 8
 
2.6%
4 6
 
2.0%
5 8
 
2.6%
6 9
 
3.0%
7 3
 
1.0%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
5973 1
0.3%
1571 1
0.3%
828 1
0.3%
518 1
0.3%
380 1
0.3%
331 1
0.3%
329 1
0.3%
324 1
0.3%
305 1
0.3%
283 1
0.3%

2009-09
Real number (ℝ)

MISSING  ZEROS 

Distinct99
Distinct (%)36.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean78.419708
Minimum0
Maximum6737
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:08.023702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21.5
Q347
95-th percentile225.45
Maximum6737
Range6737
Interquartile range (IQR)44

Descriptive statistics

Standard deviation430.05194
Coefficient of variation (CV)5.4839778
Kurtosis213.66332
Mean78.419708
Median Absolute Deviation (MAD)20.5
Skewness14.053793
Sum21487
Variance184944.67
MonotonicityNot monotonic
2024-04-21T09:27:08.469422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 28
 
9.3%
7 8
 
2.6%
6 8
 
2.6%
2 7
 
2.3%
4 7
 
2.3%
3 7
 
2.3%
28 6
 
2.0%
23 6
 
2.0%
31 6
 
2.0%
Other values (89) 162
53.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 29
9.6%
1 28
9.3%
2 7
 
2.3%
3 7
 
2.3%
4 7
 
2.3%
5 6
 
2.0%
6 8
 
2.6%
7 8
 
2.6%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
6737 1
0.3%
1984 1
0.3%
891 1
0.3%
593 1
0.3%
483 1
0.3%
368 1
0.3%
366 1
0.3%
292 1
0.3%
275 1
0.3%
270 1
0.3%

2009-10
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)38.0%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean74.89781
Minimum0
Maximum6441
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:08.882251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q350
95-th percentile210.7
Maximum6441
Range6441
Interquartile range (IQR)47

Descriptive statistics

Standard deviation408.77675
Coefficient of variation (CV)5.457793
Kurtosis218.37338
Mean74.89781
Median Absolute Deviation (MAD)19
Skewness14.231041
Sum20522
Variance167098.43
MonotonicityNot monotonic
2024-04-21T09:27:09.312232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 26
 
8.6%
2 14
 
4.6%
5 10
 
3.3%
3 9
 
3.0%
8 7
 
2.3%
20 6
 
2.0%
6 6
 
2.0%
16 5
 
1.7%
29 5
 
1.7%
Other values (94) 160
53.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 26
8.6%
1 26
8.6%
2 14
4.6%
3 9
 
3.0%
4 5
 
1.7%
5 10
 
3.3%
6 6
 
2.0%
7 5
 
1.7%
8 7
 
2.3%
9 1
 
0.3%
ValueCountFrequency (%)
6441 1
0.3%
1768 1
0.3%
751 1
0.3%
604 1
0.3%
491 1
0.3%
395 1
0.3%
339 1
0.3%
306 1
0.3%
292 1
0.3%
276 1
0.3%

2009-11
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)35.4%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean67.164234
Minimum0
Maximum5754
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:09.722371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q340
95-th percentile221.7
Maximum5754
Range5754
Interquartile range (IQR)37

Descriptive statistics

Standard deviation364.33527
Coefficient of variation (CV)5.424543
Kurtosis220.25718
Mean67.164234
Median Absolute Deviation (MAD)15
Skewness14.30026
Sum18403
Variance132740.19
MonotonicityNot monotonic
2024-04-21T09:27:10.156007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 24
 
7.9%
2 18
 
6.0%
4 12
 
4.0%
5 9
 
3.0%
23 9
 
3.0%
22 7
 
2.3%
30 6
 
2.0%
6 6
 
2.0%
3 6
 
2.0%
Other values (87) 151
50.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 26
8.6%
1 24
7.9%
2 18
6.0%
3 6
 
2.0%
4 12
4.0%
5 9
 
3.0%
6 6
 
2.0%
7 3
 
1.0%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
5754 1
0.3%
1540 1
0.3%
597 1
0.3%
488 1
0.3%
408 1
0.3%
330 1
0.3%
320 1
0.3%
291 1
0.3%
280 1
0.3%
278 1
0.3%

2009-12
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)34.7%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean71.164234
Minimum0
Maximum6150
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:10.564866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17.5
Q346
95-th percentile189.55
Maximum6150
Range6150
Interquartile range (IQR)43

Descriptive statistics

Standard deviation389.85009
Coefficient of variation (CV)5.4781745
Kurtosis219.40581
Mean71.164234
Median Absolute Deviation (MAD)15.5
Skewness14.269908
Sum19499
Variance151983.09
MonotonicityNot monotonic
2024-04-21T09:27:10.996691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 21
 
7.0%
2 12
 
4.0%
4 11
 
3.6%
3 11
 
3.6%
5 10
 
3.3%
6 7
 
2.3%
18 7
 
2.3%
17 6
 
2.0%
8 6
 
2.0%
Other values (85) 157
52.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 26
8.6%
1 21
7.0%
2 12
4.0%
3 11
3.6%
4 11
3.6%
5 10
 
3.3%
6 7
 
2.3%
7 5
 
1.7%
8 6
 
2.0%
9 2
 
0.7%
ValueCountFrequency (%)
6150 1
0.3%
1669 1
0.3%
616 1
0.3%
593 1
0.3%
499 1
0.3%
310 1
0.3%
309 1
0.3%
305 1
0.3%
303 1
0.3%
302 1
0.3%

2010-01
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)32.8%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean52.10219
Minimum0
Maximum4501
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:11.418175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q337.75
95-th percentile141.6
Maximum4501
Range4501
Interquartile range (IQR)35.75

Descriptive statistics

Standard deviation283.97108
Coefficient of variation (CV)5.4502714
Kurtosis223.27702
Mean52.10219
Median Absolute Deviation (MAD)12
Skewness14.408392
Sum14276
Variance80639.572
MonotonicityNot monotonic
2024-04-21T09:27:11.835314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 29
 
9.6%
3 12
 
4.0%
2 12
 
4.0%
5 11
 
3.6%
4 11
 
3.6%
8 7
 
2.3%
12 7
 
2.3%
14 6
 
2.0%
6 5
 
1.7%
Other values (80) 144
47.7%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 30
9.9%
1 29
9.6%
2 12
 
4.0%
3 12
 
4.0%
4 11
 
3.6%
5 11
 
3.6%
6 5
 
1.7%
7 3
 
1.0%
8 7
 
2.3%
9 1
 
0.3%
ValueCountFrequency (%)
4501 1
0.3%
1093 1
0.3%
492 1
0.3%
473 1
0.3%
448 1
0.3%
243 1
0.3%
237 1
0.3%
205 1
0.3%
197 1
0.3%
175 2
0.7%

2010-02
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)32.8%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean57.120438
Minimum0
Maximum4959
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:12.200845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median15.5
Q338
95-th percentile130.9
Maximum4959
Range4959
Interquartile range (IQR)35.75

Descriptive statistics

Standard deviation311.85148
Coefficient of variation (CV)5.4595428
Kurtosis226.07725
Mean57.120438
Median Absolute Deviation (MAD)14.5
Skewness14.509335
Sum15651
Variance97251.344
MonotonicityNot monotonic
2024-04-21T09:27:12.474344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 26
 
8.6%
2 13
 
4.3%
3 13
 
4.3%
5 11
 
3.6%
7 8
 
2.6%
4 7
 
2.3%
9 6
 
2.0%
18 6
 
2.0%
20 6
 
2.0%
Other values (80) 148
49.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 26
8.6%
1 30
9.9%
2 13
4.3%
3 13
4.3%
4 7
 
2.3%
5 11
 
3.6%
6 3
 
1.0%
7 8
 
2.6%
8 1
 
0.3%
9 6
 
2.0%
ValueCountFrequency (%)
4959 1
0.3%
1100 1
0.3%
555 1
0.3%
522 1
0.3%
465 1
0.3%
350 1
0.3%
298 1
0.3%
271 1
0.3%
242 1
0.3%
209 1
0.3%

2010-03
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)34.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean90.313869
Minimum0
Maximum7971
Zeros20
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:12.718002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q343.75
95-th percentile205.05
Maximum7971
Range7971
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation521.45806
Coefficient of variation (CV)5.7738426
Kurtosis194.0105
Mean90.313869
Median Absolute Deviation (MAD)17
Skewness13.208838
Sum24746
Variance271918.51
MonotonicityNot monotonic
2024-04-21T09:27:12.979948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 20
 
6.6%
5 11
 
3.6%
2 11
 
3.6%
3 10
 
3.3%
6 9
 
3.0%
7 9
 
3.0%
27 8
 
2.6%
4 8
 
2.6%
20 6
 
2.0%
Other values (84) 155
51.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 20
6.6%
1 27
8.9%
2 11
3.6%
3 10
 
3.3%
4 8
 
2.6%
5 11
3.6%
6 9
 
3.0%
7 9
 
3.0%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
7971 1
0.3%
2239 1
0.3%
1827 1
0.3%
1391 1
0.3%
933 1
0.3%
608 1
0.3%
527 1
0.3%
389 1
0.3%
311 1
0.3%
307 1
0.3%

2010-04
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)34.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean61.828467
Minimum0
Maximum5359
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:13.241999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q342.75
95-th percentile172.9
Maximum5359
Range5359
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation337.73083
Coefficient of variation (CV)5.462384
Kurtosis224.27108
Mean61.828467
Median Absolute Deviation (MAD)16
Skewness14.449064
Sum16941
Variance114062.11
MonotonicityNot monotonic
2024-04-21T09:27:13.492258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 24
 
7.9%
2 14
 
4.6%
5 11
 
3.6%
3 10
 
3.3%
7 10
 
3.3%
11 7
 
2.3%
19 7
 
2.3%
17 6
 
2.0%
24 6
 
2.0%
Other values (84) 152
50.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 27
8.9%
1 24
7.9%
2 14
4.6%
3 10
 
3.3%
4 5
 
1.7%
5 11
3.6%
6 4
 
1.3%
7 10
 
3.3%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
5359 1
0.3%
1283 1
0.3%
638 1
0.3%
523 1
0.3%
462 1
0.3%
306 1
0.3%
281 1
0.3%
273 1
0.3%
247 1
0.3%
242 1
0.3%

2010-05
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)29.9%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean50.525547
Minimum0
Maximum4403
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:13.737512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q334.75
95-th percentile146.7
Maximum4403
Range4403
Interquartile range (IQR)32.75

Descriptive statistics

Standard deviation277.61946
Coefficient of variation (CV)5.4946354
Kurtosis223.94218
Mean50.525547
Median Absolute Deviation (MAD)13
Skewness14.440886
Sum13844
Variance77072.565
MonotonicityNot monotonic
2024-04-21T09:27:13.976016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 31
 
10.3%
0 31
 
10.3%
2 12
 
4.0%
7 11
 
3.6%
3 10
 
3.3%
6 8
 
2.6%
14 7
 
2.3%
25 7
 
2.3%
17 7
 
2.3%
10 6
 
2.0%
Other values (72) 144
47.7%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 31
10.3%
1 31
10.3%
2 12
 
4.0%
3 10
 
3.3%
4 5
 
1.7%
5 5
 
1.7%
6 8
 
2.6%
7 11
 
3.6%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
4403 1
0.3%
1080 1
0.3%
500 1
0.3%
448 1
0.3%
322 1
0.3%
246 1
0.3%
236 1
0.3%
230 1
0.3%
225 1
0.3%
197 1
0.3%

2010-06
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)33.9%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean54.018248
Minimum0
Maximum4648
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:14.451815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q338.75
95-th percentile170.85
Maximum4648
Range4648
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation294.2607
Coefficient of variation (CV)5.4474313
Kurtosis220.47138
Mean54.018248
Median Absolute Deviation (MAD)13
Skewness14.3155
Sum14801
Variance86589.359
MonotonicityNot monotonic
2024-04-21T09:27:14.689907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 35
 
11.6%
0 28
 
9.3%
4 11
 
3.6%
3 10
 
3.3%
2 10
 
3.3%
6 7
 
2.3%
7 7
 
2.3%
8 6
 
2.0%
25 6
 
2.0%
20 6
 
2.0%
Other values (83) 148
49.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 28
9.3%
1 35
11.6%
2 10
 
3.3%
3 10
 
3.3%
4 11
 
3.6%
5 6
 
2.0%
6 7
 
2.3%
7 7
 
2.3%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
4648 1
0.3%
1253 1
0.3%
501 1
0.3%
406 1
0.3%
310 1
0.3%
261 1
0.3%
242 1
0.3%
223 1
0.3%
214 1
0.3%
207 1
0.3%

2010-07
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)29.6%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean52.173285
Minimum0
Maximum4500
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:14.929492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q337
95-th percentile181
Maximum4500
Range4500
Interquartile range (IQR)35

Descriptive statistics

Standard deviation282.82864
Coefficient of variation (CV)5.4209476
Kurtosis224.43205
Mean52.173285
Median Absolute Deviation (MAD)11
Skewness14.450817
Sum14452
Variance79992.042
MonotonicityNot monotonic
2024-04-21T09:27:15.166461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34
 
11.3%
0 25
 
8.3%
2 16
 
5.3%
3 13
 
4.3%
11 9
 
3.0%
5 9
 
3.0%
9 7
 
2.3%
23 6
 
2.0%
21 6
 
2.0%
6 6
 
2.0%
Other values (72) 146
48.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 25
8.3%
1 34
11.3%
2 16
5.3%
3 13
 
4.3%
4 5
 
1.7%
5 9
 
3.0%
6 6
 
2.0%
7 5
 
1.7%
8 5
 
1.7%
9 7
 
2.3%
ValueCountFrequency (%)
4500 1
0.3%
1187 1
0.3%
442 1
0.3%
354 1
0.3%
297 1
0.3%
255 1
0.3%
238 1
0.3%
236 1
0.3%
213 1
0.3%
212 1
0.3%

2010-08
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean48.981949
Minimum0
Maximum4228
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:15.441689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q333
95-th percentile152.4
Maximum4228
Range4228
Interquartile range (IQR)31

Descriptive statistics

Standard deviation265.46083
Coefficient of variation (CV)5.4195644
Kurtosis225.22291
Mean48.981949
Median Absolute Deviation (MAD)10
Skewness14.469654
Sum13568
Variance70469.453
MonotonicityNot monotonic
2024-04-21T09:27:15.866375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 29
 
9.6%
4 17
 
5.6%
2 13
 
4.3%
7 9
 
3.0%
8 9
 
3.0%
6 7
 
2.3%
5 7
 
2.3%
14 7
 
2.3%
3 6
 
2.0%
Other values (75) 143
47.4%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 30
9.9%
1 29
9.6%
2 13
4.3%
3 6
 
2.0%
4 17
5.6%
5 7
 
2.3%
6 7
 
2.3%
7 9
 
3.0%
8 9
 
3.0%
9 2
 
0.7%
ValueCountFrequency (%)
4228 1
0.3%
1069 1
0.3%
415 1
0.3%
338 1
0.3%
333 1
0.3%
261 1
0.3%
238 1
0.3%
231 1
0.3%
207 1
0.3%
193 1
0.3%

2010-09
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)30.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean48.534296
Minimum0
Maximum4220
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:16.271557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q333
95-th percentile145.6
Maximum4220
Range4220
Interquartile range (IQR)31

Descriptive statistics

Standard deviation264.10454
Coefficient of variation (CV)5.4416064
Kurtosis228.05179
Mean48.534296
Median Absolute Deviation (MAD)11
Skewness14.571925
Sum13444
Variance69751.206
MonotonicityNot monotonic
2024-04-21T09:27:16.688317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 33
 
10.9%
4 10
 
3.3%
3 10
 
3.3%
2 9
 
3.0%
5 9
 
3.0%
12 8
 
2.6%
15 7
 
2.3%
33 7
 
2.3%
7 7
 
2.3%
Other values (73) 144
47.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 33
10.9%
1 33
10.9%
2 9
 
3.0%
3 10
 
3.3%
4 10
 
3.3%
5 9
 
3.0%
6 6
 
2.0%
7 7
 
2.3%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
4220 1
0.3%
992 1
0.3%
367 1
0.3%
333 1
0.3%
325 1
0.3%
315 1
0.3%
304 1
0.3%
234 1
0.3%
219 1
0.3%
204 1
0.3%

2010-10
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)32.1%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean60.115523
Minimum0
Maximum5195
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:17.094132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q341
95-th percentile184.2
Maximum5195
Range5195
Interquartile range (IQR)39

Descriptive statistics

Standard deviation325.59346
Coefficient of variation (CV)5.4161295
Kurtosis226.7827
Mean60.115523
Median Absolute Deviation (MAD)14
Skewness14.532129
Sum16652
Variance106011.1
MonotonicityNot monotonic
2024-04-21T09:27:17.439584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 29
 
9.6%
2 10
 
3.3%
6 8
 
2.6%
4 8
 
2.6%
5 8
 
2.6%
7 7
 
2.3%
13 6
 
2.0%
3 6
 
2.0%
15 5
 
1.7%
Other values (79) 158
52.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 32
10.6%
1 29
9.6%
2 10
 
3.3%
3 6
 
2.0%
4 8
 
2.6%
5 8
 
2.6%
6 8
 
2.6%
7 7
 
2.3%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
5195 1
0.3%
1276 1
0.3%
521 1
0.3%
457 1
0.3%
413 1
0.3%
337 1
0.3%
288 1
0.3%
279 1
0.3%
251 1
0.3%
247 1
0.3%

2010-11
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)36.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean71.974729
Minimum0
Maximum6245
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:17.679429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q352
95-th percentile200
Maximum6245
Range6245
Interquartile range (IQR)49

Descriptive statistics

Standard deviation391.05631
Coefficient of variation (CV)5.4332446
Kurtosis227.52993
Mean71.974729
Median Absolute Deviation (MAD)19
Skewness14.555414
Sum19937
Variance152925.04
MonotonicityNot monotonic
2024-04-21T09:27:17.924160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 29
 
9.6%
5 10
 
3.3%
2 10
 
3.3%
8 8
 
2.6%
28 7
 
2.3%
3 7
 
2.3%
6 7
 
2.3%
26 6
 
2.0%
15 5
 
1.7%
Other values (92) 158
52.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 30
9.9%
1 29
9.6%
2 10
 
3.3%
3 7
 
2.3%
4 2
 
0.7%
5 10
 
3.3%
6 7
 
2.3%
7 5
 
1.7%
8 8
 
2.6%
9 5
 
1.7%
ValueCountFrequency (%)
6245 1
0.3%
1465 1
0.3%
731 1
0.3%
565 1
0.3%
539 1
0.3%
373 1
0.3%
343 1
0.3%
339 1
0.3%
317 1
0.3%
289 1
0.3%

2010-12
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)40.4%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean96.978339
Minimum0
Maximum8324
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:18.175794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q370
95-th percentile282.2
Maximum8324
Range8324
Interquartile range (IQR)67

Descriptive statistics

Standard deviation523.54468
Coefficient of variation (CV)5.3985733
Kurtosis223.55454
Mean96.978339
Median Absolute Deviation (MAD)22
Skewness14.394485
Sum26863
Variance274099.03
MonotonicityNot monotonic
2024-04-21T09:27:18.413412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 26
 
8.6%
2 14
 
4.6%
4 7
 
2.3%
14 6
 
2.0%
17 6
 
2.0%
5 5
 
1.7%
9 5
 
1.7%
3 4
 
1.3%
74 4
 
1.3%
Other values (102) 172
57.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 26
8.6%
1 28
9.3%
2 14
4.6%
3 4
 
1.3%
4 7
 
2.3%
5 5
 
1.7%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
8324 1
0.3%
2074 1
0.3%
944 1
0.3%
826 1
0.3%
754 1
0.3%
495 1
0.3%
453 1
0.3%
427 1
0.3%
402 1
0.3%
390 1
0.3%

2011-01
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)37.5%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean69.393502
Minimum0
Maximum5989
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:18.652042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median18
Q348
95-th percentile186.8
Maximum5989
Range5989
Interquartile range (IQR)46

Descriptive statistics

Standard deviation376.69945
Coefficient of variation (CV)5.4284543
Kurtosis223.6425
Mean69.393502
Median Absolute Deviation (MAD)17
Skewness14.40735
Sum19222
Variance141902.48
MonotonicityNot monotonic
2024-04-21T09:27:18.984520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 31
 
10.3%
3 9
 
3.0%
7 9
 
3.0%
2 8
 
2.6%
5 7
 
2.3%
35 6
 
2.0%
22 6
 
2.0%
21 6
 
2.0%
4 5
 
1.7%
Other values (94) 158
52.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 32
10.6%
1 31
10.3%
2 8
 
2.6%
3 9
 
3.0%
4 5
 
1.7%
5 7
 
2.3%
6 5
 
1.7%
7 9
 
3.0%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
5989 1
0.3%
1525 1
0.3%
658 1
0.3%
602 1
0.3%
530 1
0.3%
396 1
0.3%
320 1
0.3%
316 1
0.3%
265 1
0.3%
250 1
0.3%

2011-02
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)33.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean68.01083
Minimum0
Maximum5887
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:19.250590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median18
Q347
95-th percentile181.2
Maximum5887
Range5887
Interquartile range (IQR)44

Descriptive statistics

Standard deviation367.84641
Coefficient of variation (CV)5.4086446
Kurtosis229.38626
Mean68.01083
Median Absolute Deviation (MAD)17
Skewness14.624921
Sum18839
Variance135310.98
MonotonicityNot monotonic
2024-04-21T09:27:19.494591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 28
 
9.3%
3 10
 
3.3%
2 8
 
2.6%
5 8
 
2.6%
7 8
 
2.6%
4 7
 
2.3%
6 7
 
2.3%
27 6
 
2.0%
34 6
 
2.0%
Other values (82) 161
53.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 28
9.3%
1 28
9.3%
2 8
 
2.6%
3 10
 
3.3%
4 7
 
2.3%
5 8
 
2.6%
6 7
 
2.3%
7 8
 
2.6%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
5887 1
0.3%
1319 1
0.3%
621 1
0.3%
595 1
0.3%
472 1
0.3%
433 1
0.3%
374 1
0.3%
290 2
0.7%
268 1
0.3%
249 1
0.3%

2011-03
Real number (ℝ)

MISSING  ZEROS 

Distinct106
Distinct (%)38.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean84.418773
Minimum0
Maximum7297
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:19.740306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q357
95-th percentile240.6
Maximum7297
Range7297
Interquartile range (IQR)54

Descriptive statistics

Standard deviation456.3669
Coefficient of variation (CV)5.4059884
Kurtosis228.57926
Mean84.418773
Median Absolute Deviation (MAD)21
Skewness14.594365
Sum23384
Variance208270.75
MonotonicityNot monotonic
2024-04-21T09:27:19.986476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 21
 
7.0%
2 15
 
5.0%
6 8
 
2.6%
8 7
 
2.3%
3 6
 
2.0%
9 6
 
2.0%
5 6
 
2.0%
25 6
 
2.0%
4 5
 
1.7%
Other values (96) 169
56.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 21
7.0%
1 28
9.3%
2 15
5.0%
3 6
 
2.0%
4 5
 
1.7%
5 6
 
2.0%
6 8
 
2.6%
7 3
 
1.0%
8 7
 
2.3%
9 6
 
2.0%
ValueCountFrequency (%)
7297 1
0.3%
1683 1
0.3%
738 1
0.3%
717 1
0.3%
551 1
0.3%
476 1
0.3%
450 1
0.3%
441 1
0.3%
424 1
0.3%
313 1
0.3%

2011-04
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)37.9%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean73.732852
Minimum0
Maximum6390
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:20.472381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21
Q348
95-th percentile206.4
Maximum6390
Range6390
Interquartile range (IQR)44

Descriptive statistics

Standard deviation398.06915
Coefficient of variation (CV)5.398803
Kurtosis232.06767
Mean73.732852
Median Absolute Deviation (MAD)20
Skewness14.723157
Sum20424
Variance158459.04
MonotonicityNot monotonic
2024-04-21T09:27:20.716170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 25
 
8.3%
5 9
 
3.0%
15 9
 
3.0%
2 9
 
3.0%
21 7
 
2.3%
7 6
 
2.0%
30 6
 
2.0%
11 6
 
2.0%
9 6
 
2.0%
Other values (95) 164
54.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 25
8.3%
1 30
9.9%
2 9
 
3.0%
3 5
 
1.7%
4 4
 
1.3%
5 9
 
3.0%
6 4
 
1.3%
7 6
 
2.0%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
6390 1
0.3%
1299 1
0.3%
756 1
0.3%
551 1
0.3%
500 1
0.3%
474 1
0.3%
384 1
0.3%
361 1
0.3%
359 1
0.3%
356 1
0.3%

2011-05
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)35.4%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean65.628159
Minimum0
Maximum5683
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:20.956351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median18
Q343
95-th percentile177.4
Maximum5683
Range5683
Interquartile range (IQR)40

Descriptive statistics

Standard deviation353.76786
Coefficient of variation (CV)5.3904889
Kurtosis232.71392
Mean65.628159
Median Absolute Deviation (MAD)17
Skewness14.745724
Sum18179
Variance125151.7
MonotonicityNot monotonic
2024-04-21T09:27:21.190552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 33
 
10.9%
0 26
 
8.6%
7 10
 
3.3%
2 10
 
3.3%
28 9
 
3.0%
19 7
 
2.3%
8 7
 
2.3%
6 7
 
2.3%
25 6
 
2.0%
5 6
 
2.0%
Other values (88) 156
51.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 26
8.6%
1 33
10.9%
2 10
 
3.3%
3 4
 
1.3%
4 5
 
1.7%
5 6
 
2.0%
6 7
 
2.3%
7 10
 
3.3%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
5683 1
0.3%
1138 1
0.3%
598 1
0.3%
487 1
0.3%
439 1
0.3%
407 1
0.3%
395 1
0.3%
390 1
0.3%
302 1
0.3%
278 1
0.3%

2011-06
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)32.9%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean62.862816
Minimum0
Maximum5462
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:21.426326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q343
95-th percentile167.2
Maximum5462
Range5462
Interquartile range (IQR)40

Descriptive statistics

Standard deviation339.32521
Coefficient of variation (CV)5.3978684
Kurtosis234.58022
Mean62.862816
Median Absolute Deviation (MAD)15
Skewness14.816894
Sum17413
Variance115141.6
MonotonicityNot monotonic
2024-04-21T09:27:21.660686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 23
 
7.6%
3 12
 
4.0%
4 8
 
2.6%
7 8
 
2.6%
8 7
 
2.3%
2 7
 
2.3%
6 7
 
2.3%
26 6
 
2.0%
29 6
 
2.0%
Other values (81) 160
53.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 33
10.9%
1 23
7.6%
2 7
 
2.3%
3 12
 
4.0%
4 8
 
2.6%
5 4
 
1.3%
6 7
 
2.3%
7 8
 
2.6%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
5462 1
0.3%
1021 1
0.3%
541 1
0.3%
454 1
0.3%
436 1
0.3%
419 1
0.3%
411 1
0.3%
357 1
0.3%
330 1
0.3%
286 1
0.3%

2011-07
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)34.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean62.548736
Minimum0
Maximum5445
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:21.915696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q339
95-th percentile167.2
Maximum5445
Range5445
Interquartile range (IQR)36

Descriptive statistics

Standard deviation338.66198
Coefficient of variation (CV)5.4143696
Kurtosis233.54415
Mean62.548736
Median Absolute Deviation (MAD)14
Skewness14.77618
Sum17326
Variance114691.94
MonotonicityNot monotonic
2024-04-21T09:27:22.169399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 27
 
8.9%
3 13
 
4.3%
2 10
 
3.3%
6 8
 
2.6%
8 8
 
2.6%
11 7
 
2.3%
25 6
 
2.0%
5 6
 
2.0%
4 6
 
2.0%
Other values (86) 159
52.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 27
8.9%
1 27
8.9%
2 10
 
3.3%
3 13
4.3%
4 6
 
2.0%
5 6
 
2.0%
6 8
 
2.6%
7 6
 
2.0%
8 8
 
2.6%
9 4
 
1.3%
ValueCountFrequency (%)
5445 1
0.3%
1064 1
0.3%
503 1
0.3%
445 1
0.3%
425 2
0.7%
403 1
0.3%
321 1
0.3%
319 1
0.3%
318 1
0.3%
290 1
0.3%

2011-08
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)34.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean63.397112
Minimum0
Maximum5531
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:22.407107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q342
95-th percentile171.4
Maximum5531
Range5531
Interquartile range (IQR)39

Descriptive statistics

Standard deviation344.43145
Coefficient of variation (CV)5.4329202
Kurtosis232.5152
Mean63.397112
Median Absolute Deviation (MAD)15
Skewness14.744656
Sum17561
Variance118633.02
MonotonicityNot monotonic
2024-04-21T09:27:22.640384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 24
 
7.9%
2 13
 
4.3%
6 12
 
4.0%
3 11
 
3.6%
15 10
 
3.3%
22 7
 
2.3%
4 7
 
2.3%
21 6
 
2.0%
7 6
 
2.0%
Other values (86) 151
50.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 30
9.9%
1 24
7.9%
2 13
4.3%
3 11
 
3.6%
4 7
 
2.3%
5 1
 
0.3%
6 12
 
4.0%
7 6
 
2.0%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
5531 1
0.3%
1165 1
0.3%
486 1
0.3%
474 1
0.3%
437 1
0.3%
359 1
0.3%
347 1
0.3%
325 1
0.3%
321 1
0.3%
317 1
0.3%

2011-09
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)32.1%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean58.942238
Minimum0
Maximum5130
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:22.884814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q339
95-th percentile166.4
Maximum5130
Range5130
Interquartile range (IQR)36

Descriptive statistics

Standard deviation321.85103
Coefficient of variation (CV)5.460448
Kurtosis226.03424
Mean58.942238
Median Absolute Deviation (MAD)14
Skewness14.511708
Sum16327
Variance103588.08
MonotonicityNot monotonic
2024-04-21T09:27:23.135255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 26
 
8.6%
3 13
 
4.3%
2 10
 
3.3%
15 8
 
2.6%
4 8
 
2.6%
5 8
 
2.6%
14 7
 
2.3%
25 6
 
2.0%
7 6
 
2.0%
Other values (79) 155
51.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 30
9.9%
1 26
8.6%
2 10
 
3.3%
3 13
4.3%
4 8
 
2.6%
5 8
 
2.6%
6 5
 
1.7%
7 6
 
2.0%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
5130 1
0.3%
1310 1
0.3%
475 1
0.3%
423 1
0.3%
386 1
0.3%
303 1
0.3%
296 1
0.3%
283 1
0.3%
282 1
0.3%
272 1
0.3%

2011-10
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)34.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean62.01444
Minimum0
Maximum5394
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:23.499321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q345
95-th percentile190.6
Maximum5394
Range5394
Interquartile range (IQR)42

Descriptive statistics

Standard deviation336.50285
Coefficient of variation (CV)5.4262015
Kurtosis230.94305
Mean62.01444
Median Absolute Deviation (MAD)15
Skewness14.693848
Sum17178
Variance113234.17
MonotonicityNot monotonic
2024-04-21T09:27:23.937108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 24
 
7.9%
3 14
 
4.6%
4 13
 
4.3%
8 10
 
3.3%
13 7
 
2.3%
2 7
 
2.3%
15 6
 
2.0%
22 6
 
2.0%
21 5
 
1.7%
Other values (85) 157
52.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 28
9.3%
1 24
7.9%
2 7
 
2.3%
3 14
4.6%
4 13
4.3%
5 5
 
1.7%
6 4
 
1.3%
7 4
 
1.3%
8 10
 
3.3%
9 3
 
1.0%
ValueCountFrequency (%)
5394 1
0.3%
1227 1
0.3%
467 1
0.3%
462 1
0.3%
417 1
0.3%
340 1
0.3%
323 1
0.3%
289 1
0.3%
283 1
0.3%
275 1
0.3%

2011-11
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)35.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean64.689531
Minimum0
Maximum5621
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:24.330306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q342
95-th percentile194.6
Maximum5621
Range5621
Interquartile range (IQR)39

Descriptive statistics

Standard deviation350.05152
Coefficient of variation (CV)5.4112547
Kurtosis232.44974
Mean64.689531
Median Absolute Deviation (MAD)15
Skewness14.745081
Sum17919
Variance122536.07
MonotonicityNot monotonic
2024-04-21T09:27:24.740400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 23
 
7.6%
4 13
 
4.3%
2 13
 
4.3%
6 8
 
2.6%
19 8
 
2.6%
3 7
 
2.3%
11 7
 
2.3%
10 6
 
2.0%
22 6
 
2.0%
Other values (87) 158
52.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 23
7.6%
1 28
9.3%
2 13
4.3%
3 7
 
2.3%
4 13
4.3%
5 4
 
1.3%
6 8
 
2.6%
7 3
 
1.0%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
5621 1
0.3%
1198 1
0.3%
530 1
0.3%
451 1
0.3%
438 1
0.3%
426 1
0.3%
327 1
0.3%
310 1
0.3%
300 1
0.3%
297 1
0.3%

2011-12
Real number (ℝ)

MISSING  ZEROS 

Distinct113
Distinct (%)40.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean93.66065
Minimum0
Maximum8092
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:25.156072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q360
95-th percentile309.6
Maximum8092
Range8092
Interquartile range (IQR)56

Descriptive statistics

Standard deviation504.06682
Coefficient of variation (CV)5.3818421
Kurtosis232.10888
Mean93.66065
Median Absolute Deviation (MAD)21
Skewness14.723804
Sum25944
Variance254083.36
MonotonicityNot monotonic
2024-04-21T09:27:25.614276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 21
 
7.0%
2 15
 
5.0%
6 8
 
2.6%
4 7
 
2.3%
7 7
 
2.3%
8 6
 
2.0%
29 6
 
2.0%
41 6
 
2.0%
5 5
 
1.7%
Other values (103) 172
57.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 21
7.0%
1 24
7.9%
2 15
5.0%
3 3
 
1.0%
4 7
 
2.3%
5 5
 
1.7%
6 8
 
2.6%
7 7
 
2.3%
8 6
 
2.0%
10 4
 
1.3%
ValueCountFrequency (%)
8092 1
0.3%
1692 1
0.3%
805 1
0.3%
617 1
0.3%
595 1
0.3%
506 1
0.3%
502 1
0.3%
498 1
0.3%
481 1
0.3%
473 1
0.3%

2012-01
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)24.9%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean35.212996
Minimum0
Maximum3071
Zeros37
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:26.038277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q319
95-th percentile137
Maximum3071
Range3071
Interquartile range (IQR)18

Descriptive statistics

Standard deviation191.902
Coefficient of variation (CV)5.4497493
Kurtosis229.18066
Mean35.212996
Median Absolute Deviation (MAD)6
Skewness14.579738
Sum9754
Variance36826.378
MonotonicityNot monotonic
2024-04-21T09:27:26.468535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
12.3%
1 37
 
12.3%
2 22
 
7.3%
4 14
 
4.6%
3 11
 
3.6%
5 11
 
3.6%
11 10
 
3.3%
9 9
 
3.0%
8 8
 
2.6%
14 7
 
2.3%
Other values (59) 111
36.8%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 37
12.3%
1 37
12.3%
2 22
7.3%
3 11
 
3.6%
4 14
 
4.6%
5 11
 
3.6%
6 5
 
1.7%
7 6
 
2.0%
8 8
 
2.6%
9 9
 
3.0%
ValueCountFrequency (%)
3071 1
0.3%
585 1
0.3%
368 1
0.3%
303 1
0.3%
230 1
0.3%
222 1
0.3%
218 1
0.3%
190 1
0.3%
189 1
0.3%
162 1
0.3%

2012-02
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)28.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean47.476534
Minimum0
Maximum4117
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:26.899338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q328
95-th percentile151.2
Maximum4117
Range4117
Interquartile range (IQR)25

Descriptive statistics

Standard deviation256.23954
Coefficient of variation (CV)5.3971828
Kurtosis232.88052
Mean47.476534
Median Absolute Deviation (MAD)12
Skewness14.751045
Sum13151
Variance65658.7
MonotonicityNot monotonic
2024-04-21T09:27:27.570276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 28
 
9.3%
4 12
 
4.0%
6 11
 
3.6%
26 10
 
3.3%
2 10
 
3.3%
3 10
 
3.3%
5 10
 
3.3%
13 9
 
3.0%
23 8
 
2.6%
Other values (68) 140
46.4%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 29
9.6%
1 28
9.3%
2 10
 
3.3%
3 10
 
3.3%
4 12
4.0%
5 10
 
3.3%
6 11
 
3.6%
7 2
 
0.7%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
4117 1
0.3%
817 1
0.3%
404 1
0.3%
378 1
0.3%
332 1
0.3%
324 1
0.3%
282 1
0.3%
249 1
0.3%
208 1
0.3%
190 1
0.3%

2012-03
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean54.884477
Minimum0
Maximum4743
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:27.971668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q332
95-th percentile143
Maximum4743
Range4743
Interquartile range (IQR)29

Descriptive statistics

Standard deviation297.03441
Coefficient of variation (CV)5.4119932
Kurtosis227.43933
Mean54.884477
Median Absolute Deviation (MAD)13
Skewness14.554614
Sum15203
Variance88229.443
MonotonicityNot monotonic
2024-04-21T09:27:28.398527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 22
 
7.3%
3 15
 
5.0%
4 10
 
3.3%
2 10
 
3.3%
13 9
 
3.0%
15 8
 
2.6%
25 8
 
2.6%
22 8
 
2.6%
27 7
 
2.3%
Other values (75) 152
50.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 28
9.3%
1 22
7.3%
2 10
 
3.3%
3 15
5.0%
4 10
 
3.3%
5 6
 
2.0%
6 6
 
2.0%
7 5
 
1.7%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
4743 1
0.3%
1144 1
0.3%
431 1
0.3%
398 1
0.3%
357 1
0.3%
342 1
0.3%
323 1
0.3%
318 1
0.3%
236 1
0.3%
230 1
0.3%

2012-04
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean52.978339
Minimum0
Maximum4604
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:28.747389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q334
95-th percentile131.4
Maximum4604
Range4604
Interquartile range (IQR)31

Descriptive statistics

Standard deviation288.03812
Coefficient of variation (CV)5.4369034
Kurtosis228.31278
Mean52.978339
Median Absolute Deviation (MAD)13
Skewness14.581334
Sum14675
Variance82965.956
MonotonicityNot monotonic
2024-04-21T09:27:29.010884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 25
 
8.3%
2 16
 
5.3%
3 13
 
4.3%
24 9
 
3.0%
21 9
 
3.0%
5 8
 
2.6%
13 8
 
2.6%
11 7
 
2.3%
8 7
 
2.3%
Other values (75) 149
49.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 25
8.3%
1 26
8.6%
2 16
5.3%
3 13
4.3%
4 5
 
1.7%
5 8
 
2.6%
6 4
 
1.3%
7 2
 
0.7%
8 7
 
2.3%
9 5
 
1.7%
ValueCountFrequency (%)
4604 1
0.3%
1054 1
0.3%
428 1
0.3%
415 1
0.3%
410 1
0.3%
363 1
0.3%
345 1
0.3%
296 1
0.3%
266 1
0.3%
187 1
0.3%

2012-05
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean53.490975
Minimum0
Maximum4666
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:29.271068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q334
95-th percentile161.8
Maximum4666
Range4666
Interquartile range (IQR)31

Descriptive statistics

Standard deviation290.78966
Coefficient of variation (CV)5.4362379
Kurtosis231.82226
Mean53.490975
Median Absolute Deviation (MAD)13
Skewness14.718071
Sum14817
Variance84558.628
MonotonicityNot monotonic
2024-04-21T09:27:29.528918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 28
 
9.3%
2 12
 
4.0%
3 11
 
3.6%
6 8
 
2.6%
4 8
 
2.6%
5 7
 
2.3%
14 7
 
2.3%
10 6
 
2.0%
9 6
 
2.0%
Other values (75) 156
51.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 28
9.3%
1 28
9.3%
2 12
4.0%
3 11
 
3.6%
4 8
 
2.6%
5 7
 
2.3%
6 8
 
2.6%
7 3
 
1.0%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
4666 1
0.3%
1004 1
0.3%
376 1
0.3%
371 1
0.3%
368 1
0.3%
359 1
0.3%
334 1
0.3%
288 1
0.3%
260 1
0.3%
236 1
0.3%

2012-06
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)30.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean51.425993
Minimum0
Maximum4503
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:29.789529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q330
95-th percentile148.2
Maximum4503
Range4503
Interquartile range (IQR)27

Descriptive statistics

Standard deviation282.35048
Coefficient of variation (CV)5.4904236
Kurtosis226.15997
Mean51.425993
Median Absolute Deviation (MAD)12
Skewness14.465529
Sum14245
Variance79721.796
MonotonicityNot monotonic
2024-04-21T09:27:30.048351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 26
 
8.6%
3 13
 
4.3%
2 13
 
4.3%
4 11
 
3.6%
8 10
 
3.3%
5 9
 
3.0%
10 7
 
2.3%
21 7
 
2.3%
17 7
 
2.3%
Other values (73) 145
48.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 26
8.6%
1 29
9.6%
2 13
4.3%
3 13
4.3%
4 11
 
3.6%
5 9
 
3.0%
6 4
 
1.3%
7 6
 
2.0%
8 10
 
3.3%
9 4
 
1.3%
ValueCountFrequency (%)
4503 1
0.3%
884 1
0.3%
651 1
0.3%
539 1
0.3%
368 1
0.3%
320 1
0.3%
305 1
0.3%
287 1
0.3%
262 1
0.3%
252 1
0.3%

2012-07
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)29.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean48.726619
Minimum0
Maximum4228
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:30.364956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median12
Q329
95-th percentile141.3
Maximum4228
Range4228
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation263.50978
Coefficient of variation (CV)5.4079226
Kurtosis230.95348
Mean48.726619
Median Absolute Deviation (MAD)11
Skewness14.68353
Sum13546
Variance69437.405
MonotonicityNot monotonic
2024-04-21T09:27:30.711461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 26
 
8.6%
2 13
 
4.3%
4 10
 
3.3%
8 9
 
3.0%
12 9
 
3.0%
5 9
 
3.0%
6 8
 
2.6%
19 7
 
2.3%
3 7
 
2.3%
Other values (73) 149
49.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 31
10.3%
1 26
8.6%
2 13
4.3%
3 7
 
2.3%
4 10
 
3.3%
5 9
 
3.0%
6 8
 
2.6%
7 6
 
2.0%
8 9
 
3.0%
9 5
 
1.7%
ValueCountFrequency (%)
4228 1
0.3%
962 1
0.3%
398 1
0.3%
369 1
0.3%
302 1
0.3%
300 1
0.3%
287 1
0.3%
246 1
0.3%
211 1
0.3%
173 1
0.3%

2012-08
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)28.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean54.521583
Minimum0
Maximum4617
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:30.956442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q325
95-th percentile160.6
Maximum4617
Range4617
Interquartile range (IQR)23

Descriptive statistics

Standard deviation298.51993
Coefficient of variation (CV)5.4752617
Kurtosis200.38256
Mean54.521583
Median Absolute Deviation (MAD)9
Skewness13.467618
Sum15157
Variance89114.149
MonotonicityNot monotonic
2024-04-21T09:27:31.337760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34
 
11.3%
0 27
 
8.9%
2 18
 
6.0%
6 9
 
3.0%
17 9
 
3.0%
8 9
 
3.0%
4 9
 
3.0%
7 8
 
2.6%
5 8
 
2.6%
11 7
 
2.3%
Other values (70) 140
46.4%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 27
8.9%
1 34
11.3%
2 18
6.0%
3 7
 
2.3%
4 9
 
3.0%
5 8
 
2.6%
6 9
 
3.0%
7 8
 
2.6%
8 9
 
3.0%
9 6
 
2.0%
ValueCountFrequency (%)
4617 1
0.3%
1484 1
0.3%
728 1
0.3%
678 1
0.3%
354 1
0.3%
340 1
0.3%
308 1
0.3%
295 1
0.3%
252 1
0.3%
229 1
0.3%

2012-09
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)25.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean40.489209
Minimum0
Maximum3531
Zeros37
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:31.704409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q322
95-th percentile127.05
Maximum3531
Range3531
Interquartile range (IQR)20

Descriptive statistics

Standard deviation220.29863
Coefficient of variation (CV)5.440922
Kurtosis229.99459
Mean40.489209
Median Absolute Deviation (MAD)8
Skewness14.632645
Sum11256
Variance48531.485
MonotonicityNot monotonic
2024-04-21T09:27:32.152984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
12.3%
1 24
 
7.9%
2 21
 
7.0%
6 15
 
5.0%
4 15
 
5.0%
9 9
 
3.0%
3 9
 
3.0%
15 9
 
3.0%
5 8
 
2.6%
13 8
 
2.6%
Other values (62) 123
40.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 37
12.3%
1 24
7.9%
2 21
7.0%
3 9
 
3.0%
4 15
5.0%
5 8
 
2.6%
6 15
5.0%
7 4
 
1.3%
8 5
 
1.7%
9 9
 
3.0%
ValueCountFrequency (%)
3531 1
0.3%
788 1
0.3%
325 1
0.3%
297 1
0.3%
272 1
0.3%
262 1
0.3%
228 1
0.3%
212 1
0.3%
185 1
0.3%
170 1
0.3%

2012-10
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)32.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean58.992806
Minimum0
Maximum5161
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:32.578445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q337.5
95-th percentile160
Maximum5161
Range5161
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation322.65106
Coefficient of variation (CV)5.4693289
Kurtosis228.29028
Mean58.992806
Median Absolute Deviation (MAD)13.5
Skewness14.579538
Sum16400
Variance104103.7
MonotonicityNot monotonic
2024-04-21T09:27:33.017791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 22
 
7.3%
3 13
 
4.3%
2 13
 
4.3%
17 10
 
3.3%
5 8
 
2.6%
22 7
 
2.3%
13 7
 
2.3%
7 6
 
2.0%
9 6
 
2.0%
Other values (79) 154
51.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 32
10.6%
1 22
7.3%
2 13
4.3%
3 13
4.3%
4 4
 
1.3%
5 8
 
2.6%
6 3
 
1.0%
7 6
 
2.0%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
5161 1
0.3%
1226 1
0.3%
485 1
0.3%
460 1
0.3%
445 1
0.3%
440 1
0.3%
313 1
0.3%
271 1
0.3%
248 1
0.3%
245 1
0.3%

2012-11
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)33.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean63.848921
Minimum0
Maximum5575
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:33.409995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q342.5
95-th percentile175.75
Maximum5575
Range5575
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation347.66467
Coefficient of variation (CV)5.4451142
Kurtosis230.4255
Mean63.848921
Median Absolute Deviation (MAD)15
Skewness14.654813
Sum17750
Variance120870.72
MonotonicityNot monotonic
2024-04-21T09:27:33.833699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
10.6%
0 22
 
7.3%
3 13
 
4.3%
2 12
 
4.0%
4 7
 
2.3%
8 7
 
2.3%
13 7
 
2.3%
7 7
 
2.3%
19 6
 
2.0%
6 6
 
2.0%
Other values (84) 159
52.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 32
10.6%
2 12
 
4.0%
3 13
4.3%
4 7
 
2.3%
5 5
 
1.7%
6 6
 
2.0%
7 7
 
2.3%
8 7
 
2.3%
9 2
 
0.7%
ValueCountFrequency (%)
5575 1
0.3%
1233 1
0.3%
503 1
0.3%
499 1
0.3%
492 1
0.3%
490 1
0.3%
392 1
0.3%
303 1
0.3%
296 1
0.3%
220 1
0.3%

2012-12
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)38.5%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean91.640288
Minimum0
Maximum7909
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:34.249257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median24
Q357
95-th percentile254.95
Maximum7909
Range7909
Interquartile range (IQR)52

Descriptive statistics

Standard deviation493.54264
Coefficient of variation (CV)5.3856514
Kurtosis229.68501
Mean91.640288
Median Absolute Deviation (MAD)22
Skewness14.620723
Sum25476
Variance243584.34
MonotonicityNot monotonic
2024-04-21T09:27:34.935498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 18
 
6.0%
2 13
 
4.3%
15 8
 
2.6%
26 7
 
2.3%
6 7
 
2.3%
3 7
 
2.3%
13 7
 
2.3%
24 5
 
1.7%
8 5
 
1.7%
Other values (97) 174
57.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 27
8.9%
2 13
4.3%
3 7
 
2.3%
4 4
 
1.3%
5 4
 
1.3%
6 7
 
2.3%
7 4
 
1.3%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
7909 1
0.3%
1753 1
0.3%
746 1
0.3%
722 1
0.3%
684 1
0.3%
659 1
0.3%
472 1
0.3%
447 1
0.3%
411 1
0.3%
393 1
0.3%

2013-01
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)26.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean36.338129
Minimum0
Maximum3086
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:35.354849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q321
95-th percentile100.9
Maximum3086
Range3086
Interquartile range (IQR)20

Descriptive statistics

Standard deviation196.81834
Coefficient of variation (CV)5.4163036
Kurtosis211.47022
Mean36.338129
Median Absolute Deviation (MAD)6
Skewness13.934059
Sum10102
Variance38737.459
MonotonicityNot monotonic
2024-04-21T09:27:35.781887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
14.2%
1 29
 
9.6%
3 18
 
6.0%
2 17
 
5.6%
4 17
 
5.6%
5 14
 
4.6%
7 10
 
3.3%
6 10
 
3.3%
12 7
 
2.3%
10 6
 
2.0%
Other values (64) 107
35.4%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 43
14.2%
1 29
9.6%
2 17
 
5.6%
3 18
6.0%
4 17
 
5.6%
5 14
 
4.6%
6 10
 
3.3%
7 10
 
3.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
3086 1
0.3%
964 1
0.3%
273 1
0.3%
249 1
0.3%
240 1
0.3%
223 1
0.3%
219 1
0.3%
211 1
0.3%
200 1
0.3%
163 1
0.3%

2013-02
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)27.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean43.870504
Minimum0
Maximum3767
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:36.188805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q328.75
95-th percentile128.15
Maximum3767
Range3767
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation236.5034
Coefficient of variation (CV)5.3909435
Kurtosis224.45943
Mean43.870504
Median Absolute Deviation (MAD)10
Skewness14.433538
Sum12196
Variance55933.86
MonotonicityNot monotonic
2024-04-21T09:27:36.627789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 36
 
11.9%
0 29
 
9.6%
5 13
 
4.3%
3 12
 
4.0%
9 9
 
3.0%
2 9
 
3.0%
28 7
 
2.3%
8 7
 
2.3%
4 7
 
2.3%
13 7
 
2.3%
Other values (67) 142
47.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 29
9.6%
1 36
11.9%
2 9
 
3.0%
3 12
 
4.0%
4 7
 
2.3%
5 13
 
4.3%
6 6
 
2.0%
7 5
 
1.7%
8 7
 
2.3%
9 9
 
3.0%
ValueCountFrequency (%)
3767 1
0.3%
976 1
0.3%
321 1
0.3%
317 1
0.3%
306 1
0.3%
262 1
0.3%
240 1
0.3%
213 1
0.3%
205 1
0.3%
200 1
0.3%

2013-03
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)32.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean54.856115
Minimum0
Maximum4764
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:37.050805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q339
95-th percentile156.15
Maximum4764
Range4764
Interquartile range (IQR)36

Descriptive statistics

Standard deviation296.4465
Coefficient of variation (CV)5.4040739
Kurtosis232.34954
Mean54.856115
Median Absolute Deviation (MAD)15
Skewness14.736194
Sum15250
Variance87880.528
MonotonicityNot monotonic
2024-04-21T09:27:37.487482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
10.6%
0 24
 
7.9%
2 11
 
3.6%
5 10
 
3.3%
6 9
 
3.0%
3 9
 
3.0%
13 8
 
2.6%
4 7
 
2.3%
11 6
 
2.0%
10 6
 
2.0%
Other values (79) 156
51.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 24
7.9%
1 32
10.6%
2 11
 
3.6%
3 9
 
3.0%
4 7
 
2.3%
5 10
 
3.3%
6 9
 
3.0%
7 1
 
0.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
4764 1
0.3%
1025 1
0.3%
507 1
0.3%
454 1
0.3%
384 1
0.3%
331 1
0.3%
296 1
0.3%
250 1
0.3%
249 1
0.3%
196 1
0.3%

2013-04
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)35.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean67.719424
Minimum0
Maximum5879
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:37.890886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20.5
Q345.75
95-th percentile162.6
Maximum5879
Range5879
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation366.89327
Coefficient of variation (CV)5.4178439
Kurtosis229.73988
Mean67.719424
Median Absolute Deviation (MAD)18.5
Skewness14.634912
Sum18826
Variance134610.67
MonotonicityNot monotonic
2024-04-21T09:27:38.322890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 21
 
7.0%
2 13
 
4.3%
6 11
 
3.6%
4 10
 
3.3%
7 9
 
3.0%
23 6
 
2.0%
21 6
 
2.0%
48 6
 
2.0%
3 6
 
2.0%
Other values (88) 163
54.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 21
7.0%
1 27
8.9%
2 13
4.3%
3 6
 
2.0%
4 10
 
3.3%
5 5
 
1.7%
6 11
3.6%
7 9
 
3.0%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
5879 1
0.3%
1336 1
0.3%
625 1
0.3%
578 1
0.3%
517 1
0.3%
435 1
0.3%
362 1
0.3%
324 1
0.3%
297 1
0.3%
228 1
0.3%

2013-05
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)36.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean77.884892
Minimum0
Maximum6783
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:38.727141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21
Q353
95-th percentile179.5
Maximum6783
Range6783
Interquartile range (IQR)50

Descriptive statistics

Standard deviation424.11299
Coefficient of variation (CV)5.445382
Kurtosis228.03594
Mean77.884892
Median Absolute Deviation (MAD)20
Skewness14.560006
Sum21652
Variance179871.83
MonotonicityNot monotonic
2024-04-21T09:27:39.162149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 25
 
8.3%
5 12
 
4.0%
2 12
 
4.0%
16 9
 
3.0%
6 8
 
2.6%
3 8
 
2.6%
26 6
 
2.0%
33 5
 
1.7%
10 5
 
1.7%
Other values (91) 160
53.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 28
9.3%
1 25
8.3%
2 12
4.0%
3 8
 
2.6%
4 1
 
0.3%
5 12
4.0%
6 8
 
2.6%
7 5
 
1.7%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
6783 1
0.3%
1555 1
0.3%
702 1
0.3%
608 1
0.3%
607 1
0.3%
597 1
0.3%
452 1
0.3%
407 1
0.3%
383 1
0.3%
360 1
0.3%

2013-06
Real number (ℝ)

MISSING  ZEROS 

Distinct120
Distinct (%)43.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean112.13669
Minimum0
Maximum9725
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:39.589821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median28
Q374.5
95-th percentile321.7
Maximum9725
Range9725
Interquartile range (IQR)70.25

Descriptive statistics

Standard deviation608.1588
Coefficient of variation (CV)5.4233703
Kurtosis227.83422
Mean112.13669
Median Absolute Deviation (MAD)26
Skewness14.547185
Sum31174
Variance369857.13
MonotonicityNot monotonic
2024-04-21T09:27:40.023115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 17
 
5.6%
3 11
 
3.6%
2 10
 
3.3%
7 6
 
2.0%
15 5
 
1.7%
10 5
 
1.7%
6 5
 
1.7%
39 5
 
1.7%
4 4
 
1.3%
Other values (110) 182
60.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 28
9.3%
2 10
 
3.3%
3 11
 
3.6%
4 4
 
1.3%
5 3
 
1.0%
6 5
 
1.7%
7 6
 
2.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
9725 1
0.3%
2222 1
0.3%
947 1
0.3%
908 1
0.3%
825 1
0.3%
815 1
0.3%
743 1
0.3%
527 1
0.3%
514 1
0.3%
454 1
0.3%

2013-07
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)29.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean49.169065
Minimum0
Maximum4252
Zeros37
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:40.431813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q327
95-th percentile151.85
Maximum4252
Range4252
Interquartile range (IQR)25

Descriptive statistics

Standard deviation266.81441
Coefficient of variation (CV)5.4264692
Kurtosis224.79723
Mean49.169065
Median Absolute Deviation (MAD)8
Skewness14.425029
Sum13669
Variance71189.932
MonotonicityNot monotonic
2024-04-21T09:27:40.843397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
12.3%
1 29
 
9.6%
2 14
 
4.6%
3 13
 
4.3%
10 10
 
3.3%
8 10
 
3.3%
9 10
 
3.3%
4 9
 
3.0%
6 9
 
3.0%
11 7
 
2.3%
Other values (73) 130
43.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 37
12.3%
1 29
9.6%
2 14
 
4.6%
3 13
 
4.3%
4 9
 
3.0%
5 6
 
2.0%
6 9
 
3.0%
7 5
 
1.7%
8 10
 
3.3%
9 10
 
3.3%
ValueCountFrequency (%)
4252 1
0.3%
1025 1
0.3%
446 1
0.3%
434 1
0.3%
367 1
0.3%
313 1
0.3%
226 1
0.3%
205 1
0.3%
199 1
0.3%
195 2
0.7%

2013-08
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)27.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean45.521583
Minimum0
Maximum3971
Zeros36
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:41.252666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q329
95-th percentile119.15
Maximum3971
Range3971
Interquartile range (IQR)27

Descriptive statistics

Standard deviation247.74203
Coefficient of variation (CV)5.4422982
Kurtosis230.00029
Mean45.521583
Median Absolute Deviation (MAD)10
Skewness14.634311
Sum12655
Variance61376.113
MonotonicityNot monotonic
2024-04-21T09:27:41.701926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
11.9%
1 28
 
9.3%
2 15
 
5.0%
12 10
 
3.3%
7 9
 
3.0%
4 8
 
2.6%
5 8
 
2.6%
10 7
 
2.3%
3 7
 
2.3%
11 7
 
2.3%
Other values (65) 143
47.4%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 36
11.9%
1 28
9.3%
2 15
5.0%
3 7
 
2.3%
4 8
 
2.6%
5 8
 
2.6%
6 7
 
2.3%
7 9
 
3.0%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
3971 1
0.3%
862 1
0.3%
474 1
0.3%
350 1
0.3%
347 1
0.3%
289 1
0.3%
233 1
0.3%
209 1
0.3%
208 1
0.3%
189 1
0.3%

2013-09
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)29.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean47.673835
Minimum0
Maximum4151
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:42.126134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q331
95-th percentile113.8
Maximum4151
Range4151
Interquartile range (IQR)29

Descriptive statistics

Standard deviation259.80003
Coefficient of variation (CV)5.4495307
Kurtosis226.5531
Mean47.673835
Median Absolute Deviation (MAD)12
Skewness14.514736
Sum13301
Variance67496.055
MonotonicityNot monotonic
2024-04-21T09:27:42.539433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 28
 
9.3%
2 12
 
4.0%
3 11
 
3.6%
4 10
 
3.3%
13 8
 
2.6%
5 8
 
2.6%
9 7
 
2.3%
28 7
 
2.3%
15 6
 
2.0%
Other values (71) 150
49.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 28
9.3%
2 12
 
4.0%
3 11
 
3.6%
4 10
 
3.3%
5 8
 
2.6%
6 4
 
1.3%
7 3
 
1.0%
8 6
 
2.0%
9 7
 
2.3%
ValueCountFrequency (%)
4151 1
0.3%
1051 1
0.3%
429 1
0.3%
384 1
0.3%
344 1
0.3%
327 1
0.3%
233 1
0.3%
232 1
0.3%
212 1
0.3%
164 1
0.3%

2013-10
Real number (ℝ)

MISSING  ZEROS 

Distinct109
Distinct (%)39.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean78.78777
Minimum0
Maximum6816
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:42.932023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24
Q353.75
95-th percentile222.3
Maximum6816
Range6816
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation427.51618
Coefficient of variation (CV)5.4261745
Kurtosis225.3857
Mean78.78777
Median Absolute Deviation (MAD)22
Skewness14.476629
Sum21903
Variance182770.09
MonotonicityNot monotonic
2024-04-21T09:27:43.365203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
10.6%
0 22
 
7.3%
2 12
 
4.0%
5 8
 
2.6%
4 7
 
2.3%
27 6
 
2.0%
8 5
 
1.7%
6 5
 
1.7%
13 5
 
1.7%
47 5
 
1.7%
Other values (99) 171
56.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 32
10.6%
2 12
 
4.0%
3 5
 
1.7%
4 7
 
2.3%
5 8
 
2.6%
6 5
 
1.7%
7 4
 
1.3%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
6816 1
0.3%
1742 1
0.3%
744 1
0.3%
610 1
0.3%
579 1
0.3%
503 1
0.3%
386 1
0.3%
329 1
0.3%
293 1
0.3%
271 1
0.3%

2013-11
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)37.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean75.334532
Minimum0
Maximum6562
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:43.774859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22
Q350
95-th percentile196.8
Maximum6562
Range6562
Interquartile range (IQR)46

Descriptive statistics

Standard deviation410.26404
Coefficient of variation (CV)5.4458962
Kurtosis228.13769
Mean75.334532
Median Absolute Deviation (MAD)20
Skewness14.569799
Sum20943
Variance168316.58
MonotonicityNot monotonic
2024-04-21T09:27:44.437889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 26
 
8.6%
2 12
 
4.0%
4 10
 
3.3%
5 10
 
3.3%
26 6
 
2.0%
9 5
 
1.7%
22 5
 
1.7%
12 5
 
1.7%
11 5
 
1.7%
Other values (94) 168
55.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 26
8.6%
1 26
8.6%
2 12
4.0%
3 5
 
1.7%
4 10
 
3.3%
5 10
 
3.3%
6 4
 
1.3%
7 4
 
1.3%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
6562 1
0.3%
1521 1
0.3%
718 1
0.3%
644 1
0.3%
596 1
0.3%
528 1
0.3%
416 1
0.3%
312 1
0.3%
307 1
0.3%
303 1
0.3%

2013-12
Real number (ℝ)

MISSING  ZEROS 

Distinct116
Distinct (%)41.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean87.431655
Minimum0
Maximum7607
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:44.842493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q360
95-th percentile233.2
Maximum7607
Range7607
Interquartile range (IQR)56

Descriptive statistics

Standard deviation474.44835
Coefficient of variation (CV)5.4265054
Kurtosis230.25135
Mean87.431655
Median Absolute Deviation (MAD)22
Skewness14.648392
Sum24306
Variance225101.24
MonotonicityNot monotonic
2024-04-21T09:27:45.279421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 24
 
7.9%
2 14
 
4.6%
5 6
 
2.0%
10 6
 
2.0%
27 6
 
2.0%
4 6
 
2.0%
21 5
 
1.7%
7 5
 
1.7%
12 5
 
1.7%
Other values (106) 174
57.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 27
8.9%
1 24
7.9%
2 14
4.6%
3 3
 
1.0%
4 6
 
2.0%
5 6
 
2.0%
6 4
 
1.3%
7 5
 
1.7%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
7607 1
0.3%
1667 1
0.3%
795 1
0.3%
750 1
0.3%
693 1
0.3%
610 1
0.3%
509 1
0.3%
398 1
0.3%
363 1
0.3%
353 1
0.3%

2014-01
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)36.2%
Missing26
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean67.097826
Minimum0
Maximum5800
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:45.691706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q347.25
95-th percentile164.5
Maximum5800
Range5800
Interquartile range (IQR)44.25

Descriptive statistics

Standard deviation363.43436
Coefficient of variation (CV)5.4164848
Kurtosis227.59017
Mean67.097826
Median Absolute Deviation (MAD)16
Skewness14.552565
Sum18519
Variance132084.53
MonotonicityNot monotonic
2024-04-21T09:27:46.121270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 24
 
7.9%
2 15
 
5.0%
3 11
 
3.6%
4 8
 
2.6%
8 7
 
2.3%
9 6
 
2.0%
23 6
 
2.0%
6 5
 
1.7%
18 5
 
1.7%
Other values (90) 161
53.3%
(Missing) 26
 
8.6%
ValueCountFrequency (%)
0 28
9.3%
1 24
7.9%
2 15
5.0%
3 11
 
3.6%
4 8
 
2.6%
5 5
 
1.7%
6 5
 
1.7%
7 5
 
1.7%
8 7
 
2.3%
9 6
 
2.0%
ValueCountFrequency (%)
5800 1
0.3%
1273 1
0.3%
653 1
0.3%
598 1
0.3%
526 1
0.3%
492 1
0.3%
339 1
0.3%
330 1
0.3%
270 1
0.3%
229 1
0.3%

2014-02
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)38.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean86.838129
Minimum0
Maximum7563
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:46.528620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22
Q357
95-th percentile212.6
Maximum7563
Range7563
Interquartile range (IQR)53

Descriptive statistics

Standard deviation475.98968
Coefficient of variation (CV)5.4813442
Kurtosis222.07955
Mean86.838129
Median Absolute Deviation (MAD)20
Skewness14.304917
Sum24141
Variance226566.17
MonotonicityNot monotonic
2024-04-21T09:27:46.965622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 19
 
6.3%
2 10
 
3.3%
4 8
 
2.6%
3 8
 
2.6%
27 7
 
2.3%
10 7
 
2.3%
5 7
 
2.3%
15 6
 
2.0%
6 5
 
1.7%
Other values (98) 171
56.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 30
9.9%
2 10
 
3.3%
3 8
 
2.6%
4 8
 
2.6%
5 7
 
2.3%
6 5
 
1.7%
7 4
 
1.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
7563 1
0.3%
1522 1
0.3%
1440 1
0.3%
854 1
0.3%
764 1
0.3%
529 1
0.3%
523 1
0.3%
462 1
0.3%
354 1
0.3%
301 1
0.3%

2014-03
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)36.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean79.182796
Minimum0
Maximum6873
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:47.377895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q358
95-th percentile200.8
Maximum6873
Range6873
Interquartile range (IQR)54

Descriptive statistics

Standard deviation429.46085
Coefficient of variation (CV)5.4236637
Kurtosis227.89869
Mean79.182796
Median Absolute Deviation (MAD)22
Skewness14.564359
Sum22092
Variance184436.62
MonotonicityNot monotonic
2024-04-21T09:27:47.816282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 17
 
5.6%
2 13
 
4.3%
4 9
 
3.0%
19 8
 
2.6%
3 7
 
2.3%
6 7
 
2.3%
5 7
 
2.3%
7 7
 
2.3%
35 6
 
2.0%
Other values (91) 169
56.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 17
5.6%
1 29
9.6%
2 13
4.3%
3 7
 
2.3%
4 9
 
3.0%
5 7
 
2.3%
6 7
 
2.3%
7 7
 
2.3%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
6873 1
0.3%
1656 1
0.3%
923 1
0.3%
566 1
0.3%
554 1
0.3%
483 1
0.3%
375 1
0.3%
303 1
0.3%
289 1
0.3%
286 1
0.3%

2014-04
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)39.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean80.516129
Minimum0
Maximum7022
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:48.229621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q356.5
95-th percentile194.4
Maximum7022
Range7022
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation437.27456
Coefficient of variation (CV)5.430894
Kurtosis230.95495
Mean80.516129
Median Absolute Deviation (MAD)22
Skewness14.679425
Sum22464
Variance191209.04
MonotonicityNot monotonic
2024-04-21T09:27:48.680757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 17
 
5.6%
3 11
 
3.6%
2 11
 
3.6%
4 8
 
2.6%
45 8
 
2.6%
24 7
 
2.3%
6 6
 
2.0%
5 6
 
2.0%
26 5
 
1.7%
Other values (101) 172
57.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 17
5.6%
1 28
9.3%
2 11
 
3.6%
3 11
 
3.6%
4 8
 
2.6%
5 6
 
2.0%
6 6
 
2.0%
7 2
 
0.7%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
7022 1
0.3%
1589 1
0.3%
852 1
0.3%
597 1
0.3%
584 1
0.3%
519 1
0.3%
402 1
0.3%
347 1
0.3%
329 1
0.3%
310 1
0.3%

2014-05
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)34.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean66.193548
Minimum0
Maximum5784
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:49.097119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q345.5
95-th percentile172.8
Maximum5784
Range5784
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation360.15198
Coefficient of variation (CV)5.4408925
Kurtosis231.00925
Mean66.193548
Median Absolute Deviation (MAD)18
Skewness14.676192
Sum18468
Variance129709.45
MonotonicityNot monotonic
2024-04-21T09:27:49.526725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 26
 
8.6%
4 10
 
3.3%
2 10
 
3.3%
3 7
 
2.3%
8 6
 
2.0%
23 6
 
2.0%
13 5
 
1.7%
34 5
 
1.7%
7 5
 
1.7%
Other values (85) 170
56.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 29
9.6%
1 26
8.6%
2 10
 
3.3%
3 7
 
2.3%
4 10
 
3.3%
5 4
 
1.3%
6 2
 
0.7%
7 5
 
1.7%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
5784 1
0.3%
1282 1
0.3%
600 1
0.3%
595 1
0.3%
574 1
0.3%
410 1
0.3%
350 1
0.3%
264 1
0.3%
259 1
0.3%
254 1
0.3%

2014-06
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)34.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean66.853047
Minimum0
Maximum5877
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:49.934680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q344
95-th percentile195.1
Maximum5877
Range5877
Interquartile range (IQR)41

Descriptive statistics

Standard deviation364.35762
Coefficient of variation (CV)5.4501274
Kurtosis234.98908
Mean66.853047
Median Absolute Deviation (MAD)18
Skewness14.826992
Sum18652
Variance132756.48
MonotonicityNot monotonic
2024-04-21T09:27:50.365292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 25
 
8.3%
2 13
 
4.3%
3 10
 
3.3%
20 9
 
3.0%
5 8
 
2.6%
8 7
 
2.3%
23 6
 
2.0%
11 5
 
1.7%
21 5
 
1.7%
Other values (86) 164
54.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 27
8.9%
1 25
8.3%
2 13
4.3%
3 10
 
3.3%
4 5
 
1.7%
5 8
 
2.6%
6 3
 
1.0%
7 2
 
0.7%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
5877 1
0.3%
1172 1
0.3%
561 1
0.3%
551 1
0.3%
548 1
0.3%
440 1
0.3%
431 1
0.3%
307 1
0.3%
296 1
0.3%
251 1
0.3%

2014-07
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)36.8%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean74.160714
Minimum0
Maximum6477
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:50.770249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22.5
Q350
95-th percentile194.1
Maximum6477
Range6477
Interquartile range (IQR)47

Descriptive statistics

Standard deviation402.20753
Coefficient of variation (CV)5.4234581
Kurtosis232.67379
Mean74.160714
Median Absolute Deviation (MAD)20.5
Skewness14.736424
Sum20765
Variance161770.9
MonotonicityNot monotonic
2024-04-21T09:27:51.200910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 31
 
10.3%
0 18
 
6.0%
3 13
 
4.3%
2 11
 
3.6%
6 7
 
2.3%
13 6
 
2.0%
4 6
 
2.0%
12 5
 
1.7%
24 5
 
1.7%
11 5
 
1.7%
Other values (93) 173
57.3%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 18
6.0%
1 31
10.3%
2 11
 
3.6%
3 13
4.3%
4 6
 
2.0%
5 3
 
1.0%
6 7
 
2.3%
7 4
 
1.3%
8 5
 
1.7%
10 3
 
1.0%
ValueCountFrequency (%)
6477 1
0.3%
1419 1
0.3%
724 1
0.3%
665 1
0.3%
547 1
0.3%
434 1
0.3%
394 1
0.3%
360 1
0.3%
297 1
0.3%
260 1
0.3%

2014-08
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)36.8%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean74.335714
Minimum0
Maximum6506
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:51.608338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q350.5
95-th percentile192.65
Maximum6506
Range6506
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation404.74213
Coefficient of variation (CV)5.444787
Kurtosis231.04576
Mean74.335714
Median Absolute Deviation (MAD)20
Skewness14.67272
Sum20814
Variance163816.2
MonotonicityNot monotonic
2024-04-21T09:27:52.036114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 23
 
7.6%
3 13
 
4.3%
2 11
 
3.6%
7 7
 
2.3%
12 6
 
2.0%
4 6
 
2.0%
27 5
 
1.7%
26 5
 
1.7%
8 5
 
1.7%
Other values (93) 172
57.0%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 27
8.9%
1 23
7.6%
2 11
3.6%
3 13
4.3%
4 6
 
2.0%
6 3
 
1.0%
7 7
 
2.3%
8 5
 
1.7%
9 3
 
1.0%
10 3
 
1.0%
ValueCountFrequency (%)
6506 1
0.3%
1446 1
0.3%
878 1
0.3%
600 1
0.3%
559 1
0.3%
430 1
0.3%
349 1
0.3%
331 1
0.3%
304 1
0.3%
292 1
0.3%

2014-09
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)38.6%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean81.35
Minimum0
Maximum7105
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:52.442991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q357.25
95-th percentile206
Maximum7105
Range7105
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation442.90917
Coefficient of variation (CV)5.4444888
Kurtosis229.2622
Mean81.35
Median Absolute Deviation (MAD)22
Skewness14.610514
Sum22778
Variance196168.53
MonotonicityNot monotonic
2024-04-21T09:27:53.104099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 24
 
7.9%
2 12
 
4.0%
3 10
 
3.3%
4 6
 
2.0%
19 6
 
2.0%
15 6
 
2.0%
10 5
 
1.7%
24 5
 
1.7%
21 5
 
1.7%
Other values (98) 175
57.9%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 24
7.9%
1 26
8.6%
2 12
4.0%
3 10
 
3.3%
4 6
 
2.0%
5 2
 
0.7%
6 4
 
1.3%
7 3
 
1.0%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
7105 1
0.3%
1682 1
0.3%
954 1
0.3%
652 1
0.3%
583 1
0.3%
421 1
0.3%
391 1
0.3%
372 1
0.3%
328 1
0.3%
310 1
0.3%

2014-10
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)43.2%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean121.73214
Minimum0
Maximum10730
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:53.536865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.75
median30
Q376
95-th percentile253.4
Maximum10730
Range10730
Interquartile range (IQR)71.25

Descriptive statistics

Standard deviation672.87057
Coefficient of variation (CV)5.5274683
Kurtosis223.72432
Mean121.73214
Median Absolute Deviation (MAD)28
Skewness14.341244
Sum34085
Variance452754.8
MonotonicityNot monotonic
2024-04-21T09:27:53.983105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 23
 
7.6%
5 10
 
3.3%
2 10
 
3.3%
23 6
 
2.0%
4 6
 
2.0%
3 6
 
2.0%
45 5
 
1.7%
29 4
 
1.3%
42 4
 
1.3%
Other values (111) 181
59.9%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 23
7.6%
1 25
8.3%
2 10
 
3.3%
3 6
 
2.0%
4 6
 
2.0%
5 10
 
3.3%
6 3
 
1.0%
7 1
 
0.3%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
10730 1
0.3%
2268 1
0.3%
1364 1
0.3%
1260 1
0.3%
1250 1
0.3%
982 1
0.3%
974 1
0.3%
748 1
0.3%
732 1
0.3%
687 1
0.3%

2014-11
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)40.0%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean83.982143
Minimum0
Maximum7309
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:54.386535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q358
95-th percentile209.05
Maximum7309
Range7309
Interquartile range (IQR)54

Descriptive statistics

Standard deviation454.17697
Coefficient of variation (CV)5.4080184
Kurtosis232.05226
Mean83.982143
Median Absolute Deviation (MAD)22
Skewness14.714547
Sum23515
Variance206276.72
MonotonicityNot monotonic
2024-04-21T09:27:54.823935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 19
 
6.3%
2 14
 
4.6%
5 7
 
2.3%
9 7
 
2.3%
7 7
 
2.3%
4 7
 
2.3%
16 5
 
1.7%
23 5
 
1.7%
18 5
 
1.7%
Other values (102) 175
57.9%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 19
6.3%
1 29
9.6%
2 14
4.6%
3 5
 
1.7%
4 7
 
2.3%
5 7
 
2.3%
6 1
 
0.3%
7 7
 
2.3%
9 7
 
2.3%
10 3
 
1.0%
ValueCountFrequency (%)
7309 1
0.3%
1639 1
0.3%
875 1
0.3%
694 1
0.3%
524 1
0.3%
504 1
0.3%
452 1
0.3%
415 1
0.3%
347 1
0.3%
298 1
0.3%

2014-12
Real number (ℝ)

MISSING  ZEROS 

Distinct116
Distinct (%)41.4%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean88.157143
Minimum0
Maximum7697
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:55.249646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22.5
Q358.25
95-th percentile227.25
Maximum7697
Range7697
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation477.54627
Coefficient of variation (CV)5.416989
Kurtosis233.38449
Mean88.157143
Median Absolute Deviation (MAD)21.5
Skewness14.751592
Sum24684
Variance228050.44
MonotonicityNot monotonic
2024-04-21T09:27:55.704913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 21
 
7.0%
2 10
 
3.3%
3 8
 
2.6%
4 7
 
2.3%
5 7
 
2.3%
15 7
 
2.3%
19 6
 
2.0%
48 5
 
1.7%
22 5
 
1.7%
Other values (106) 176
58.3%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 21
7.0%
1 28
9.3%
2 10
 
3.3%
3 8
 
2.6%
4 7
 
2.3%
5 7
 
2.3%
6 4
 
1.3%
7 2
 
0.7%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
7697 1
0.3%
1566 1
0.3%
861 1
0.3%
750 1
0.3%
701 1
0.3%
682 1
0.3%
466 1
0.3%
437 1
0.3%
357 1
0.3%
344 1
0.3%

2015-01
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)38.2%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean77.246429
Minimum0
Maximum6780
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:56.122103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21
Q353.25
95-th percentile219.05
Maximum6780
Range6780
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation420.99943
Coefficient of variation (CV)5.4500828
Kurtosis232.77064
Mean77.246429
Median Absolute Deviation (MAD)20
Skewness14.738403
Sum21629
Variance177240.52
MonotonicityNot monotonic
2024-04-21T09:27:56.561684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 24
 
7.9%
2 13
 
4.3%
3 10
 
3.3%
12 10
 
3.3%
6 8
 
2.6%
24 6
 
2.0%
17 6
 
2.0%
4 6
 
2.0%
18 5
 
1.7%
Other values (97) 165
54.6%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 27
8.9%
1 24
7.9%
2 13
4.3%
3 10
 
3.3%
4 6
 
2.0%
5 3
 
1.0%
6 8
 
2.6%
7 1
 
0.3%
8 1
 
0.3%
9 4
 
1.3%
ValueCountFrequency (%)
6780 1
0.3%
1481 1
0.3%
738 1
0.3%
622 1
0.3%
615 1
0.3%
512 1
0.3%
414 1
0.3%
369 1
0.3%
294 1
0.3%
288 1
0.3%

2015-02
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)36.1%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean73.878571
Minimum0
Maximum6437
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:57.009823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21
Q353.25
95-th percentile184.6
Maximum6437
Range6437
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation401.19756
Coefficient of variation (CV)5.4304997
Kurtosis229.40175
Mean73.878571
Median Absolute Deviation (MAD)20
Skewness14.614709
Sum20686
Variance160959.48
MonotonicityNot monotonic
2024-04-21T09:27:57.479011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 25
 
8.3%
2 12
 
4.0%
5 9
 
3.0%
30 7
 
2.3%
19 6
 
2.0%
11 6
 
2.0%
4 6
 
2.0%
3 5
 
1.7%
8 5
 
1.7%
Other values (91) 170
56.3%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 25
8.3%
1 29
9.6%
2 12
4.0%
3 5
 
1.7%
4 6
 
2.0%
5 9
 
3.0%
6 3
 
1.0%
7 4
 
1.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
6437 1
0.3%
1538 1
0.3%
754 1
0.3%
611 1
0.3%
527 1
0.3%
443 1
0.3%
357 1
0.3%
352 1
0.3%
342 1
0.3%
306 1
0.3%

2015-03
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)41.8%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean99.392857
Minimum0
Maximum8698
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:57.922623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median28.5
Q372
95-th percentile210.45
Maximum8698
Range8698
Interquartile range (IQR)68

Descriptive statistics

Standard deviation544.68103
Coefficient of variation (CV)5.4800823
Kurtosis225.4036
Mean99.392857
Median Absolute Deviation (MAD)26.5
Skewness14.471405
Sum27830
Variance296677.43
MonotonicityNot monotonic
2024-04-21T09:27:58.369889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 19
 
6.3%
2 12
 
4.0%
6 9
 
3.0%
3 7
 
2.3%
24 6
 
2.0%
13 6
 
2.0%
4 5
 
1.7%
46 5
 
1.7%
16 5
 
1.7%
Other values (107) 178
58.9%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 19
6.3%
1 28
9.3%
2 12
4.0%
3 7
 
2.3%
4 5
 
1.7%
5 3
 
1.0%
6 9
 
3.0%
7 3
 
1.0%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
8698 1
0.3%
2266 1
0.3%
1183 1
0.3%
746 1
0.3%
621 1
0.3%
585 1
0.3%
485 1
0.3%
475 1
0.3%
399 1
0.3%
366 1
0.3%

2015-04
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)43.4%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean103.70463
Minimum0
Maximum9143
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:58.786686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q371
95-th percentile250
Maximum9143
Range9143
Interquartile range (IQR)66

Descriptive statistics

Standard deviation572.23355
Coefficient of variation (CV)5.5179172
Kurtosis225.20307
Mean103.70463
Median Absolute Deviation (MAD)30
Skewness14.457448
Sum29141
Variance327451.23
MonotonicityNot monotonic
2024-04-21T09:27:59.201558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 19
 
6.3%
2 12
 
4.0%
6 8
 
2.6%
3 7
 
2.3%
4 6
 
2.0%
5 6
 
2.0%
33 5
 
1.7%
7 5
 
1.7%
20 5
 
1.7%
Other values (112) 182
60.3%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 19
6.3%
1 26
8.6%
2 12
4.0%
3 7
 
2.3%
4 6
 
2.0%
5 6
 
2.0%
6 8
 
2.6%
7 5
 
1.7%
9 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
9143 1
0.3%
2415 1
0.3%
1232 1
0.3%
808 1
0.3%
632 1
0.3%
599 1
0.3%
586 1
0.3%
483 1
0.3%
438 1
0.3%
402 1
0.3%

2015-05
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)40.6%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean93.622776
Minimum0
Maximum8231
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:27:59.609803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median27
Q364
95-th percentile263
Maximum8231
Range8231
Interquartile range (IQR)61

Descriptive statistics

Standard deviation514.22432
Coefficient of variation (CV)5.4925131
Kurtosis226.67474
Mean93.622776
Median Absolute Deviation (MAD)26
Skewness14.508422
Sum26308
Variance264426.65
MonotonicityNot monotonic
2024-04-21T09:28:00.015639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 33
 
10.9%
0 19
 
6.3%
2 12
 
4.0%
3 8
 
2.6%
22 6
 
2.0%
4 6
 
2.0%
14 5
 
1.7%
39 5
 
1.7%
38 5
 
1.7%
8 5
 
1.7%
Other values (104) 177
58.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 19
6.3%
1 33
10.9%
2 12
 
4.0%
3 8
 
2.6%
4 6
 
2.0%
5 5
 
1.7%
6 4
 
1.3%
7 4
 
1.3%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
8231 1
0.3%
2073 1
0.3%
1210 1
0.3%
731 1
0.3%
532 1
0.3%
481 1
0.3%
465 1
0.3%
409 1
0.3%
341 1
0.3%
339 2
0.7%

2015-06
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)37.0%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean92.427046
Minimum0
Maximum8125
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:00.256659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q367
95-th percentile245
Maximum8125
Range8125
Interquartile range (IQR)63

Descriptive statistics

Standard deviation507.06527
Coefficient of variation (CV)5.4861135
Kurtosis227.61297
Mean92.427046
Median Absolute Deviation (MAD)24
Skewness14.545984
Sum25972
Variance257115.19
MonotonicityNot monotonic
2024-04-21T09:28:00.630196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 21
 
7.0%
3 12
 
4.0%
2 12
 
4.0%
4 8
 
2.6%
18 7
 
2.3%
39 6
 
2.0%
33 6
 
2.0%
7 5
 
1.7%
20 5
 
1.7%
Other values (94) 175
57.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 21
7.0%
1 24
7.9%
2 12
4.0%
3 12
4.0%
4 8
 
2.6%
5 3
 
1.0%
6 5
 
1.7%
7 5
 
1.7%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
8125 1
0.3%
2035 1
0.3%
1116 1
0.3%
785 1
0.3%
556 1
0.3%
490 1
0.3%
454 1
0.3%
390 1
0.3%
320 1
0.3%
319 1
0.3%

2015-07
Real number (ℝ)

MISSING  ZEROS 

Distinct110
Distinct (%)39.1%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean99.284698
Minimum0
Maximum8758
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:01.059228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median30
Q370
95-th percentile253
Maximum8758
Range8758
Interquartile range (IQR)66

Descriptive statistics

Standard deviation544.43371
Coefficient of variation (CV)5.4835611
Kurtosis231.00035
Mean99.284698
Median Absolute Deviation (MAD)28
Skewness14.663776
Sum27899
Variance296408.06
MonotonicityNot monotonic
2024-04-21T09:28:01.472232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 18
 
6.0%
2 12
 
4.0%
3 10
 
3.3%
4 8
 
2.6%
9 5
 
1.7%
25 5
 
1.7%
16 5
 
1.7%
39 5
 
1.7%
35 5
 
1.7%
Other values (100) 180
59.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 18
6.0%
1 28
9.3%
2 12
4.0%
3 10
 
3.3%
4 8
 
2.6%
5 3
 
1.0%
6 4
 
1.3%
7 4
 
1.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
8758 1
0.3%
1963 1
0.3%
1207 1
0.3%
896 1
0.3%
633 1
0.3%
550 1
0.3%
517 1
0.3%
471 1
0.3%
409 2
0.7%
339 1
0.3%

2015-08
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)38.1%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean82.259786
Minimum0
Maximum7253
Zeros20
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:01.881915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24
Q356
95-th percentile191
Maximum7253
Range7253
Interquartile range (IQR)53

Descriptive statistics

Standard deviation453.40769
Coefficient of variation (CV)5.5118997
Kurtosis226.12469
Mean82.259786
Median Absolute Deviation (MAD)22
Skewness14.485681
Sum23115
Variance205578.54
MonotonicityNot monotonic
2024-04-21T09:28:02.582377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 20
 
6.6%
2 15
 
5.0%
3 9
 
3.0%
8 7
 
2.3%
14 7
 
2.3%
4 6
 
2.0%
15 5
 
1.7%
18 5
 
1.7%
51 5
 
1.7%
Other values (97) 172
57.0%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 20
6.6%
1 30
9.9%
2 15
5.0%
3 9
 
3.0%
4 6
 
2.0%
5 4
 
1.3%
6 3
 
1.0%
7 2
 
0.7%
8 7
 
2.3%
9 2
 
0.7%
ValueCountFrequency (%)
7253 1
0.3%
1811 1
0.3%
1096 1
0.3%
765 1
0.3%
497 1
0.3%
410 1
0.3%
404 1
0.3%
395 1
0.3%
261 1
0.3%
248 1
0.3%

2015-09
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)34.9%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean76.053381
Minimum0
Maximum6701
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:02.990827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22
Q350
95-th percentile196
Maximum6701
Range6701
Interquartile range (IQR)46

Descriptive statistics

Standard deviation421.73825
Coefficient of variation (CV)5.5452926
Kurtosis220.66388
Mean76.053381
Median Absolute Deviation (MAD)21
Skewness14.300306
Sum21371
Variance177863.15
MonotonicityNot monotonic
2024-04-21T09:28:03.426570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 25
 
8.3%
2 13
 
4.3%
4 9
 
3.0%
6 8
 
2.6%
16 8
 
2.6%
5 7
 
2.3%
15 5
 
1.7%
38 5
 
1.7%
3 5
 
1.7%
Other values (88) 170
56.3%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 26
8.6%
1 25
8.3%
2 13
4.3%
3 5
 
1.7%
4 9
 
3.0%
5 7
 
2.3%
6 8
 
2.6%
7 3
 
1.0%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
6701 1
0.3%
1961 1
0.3%
860 1
0.3%
620 1
0.3%
475 1
0.3%
396 1
0.3%
326 1
0.3%
315 1
0.3%
292 1
0.3%
282 1
0.3%

2015-10
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)39.5%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean89.576512
Minimum0
Maximum7849
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:03.733514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27
Q362
95-th percentile215
Maximum7849
Range7849
Interquartile range (IQR)58

Descriptive statistics

Standard deviation492.06026
Coefficient of variation (CV)5.493184
Kurtosis223.75959
Mean89.576512
Median Absolute Deviation (MAD)25
Skewness14.406573
Sum25171
Variance242123.3
MonotonicityNot monotonic
2024-04-21T09:28:03.994736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 21
 
7.0%
2 11
 
3.6%
3 8
 
2.6%
5 8
 
2.6%
4 7
 
2.3%
18 6
 
2.0%
6 6
 
2.0%
19 5
 
1.7%
45 5
 
1.7%
Other values (101) 180
59.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 21
7.0%
1 24
7.9%
2 11
3.6%
3 8
 
2.6%
4 7
 
2.3%
5 8
 
2.6%
6 6
 
2.0%
7 3
 
1.0%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
7849 1
0.3%
2135 1
0.3%
1040 1
0.3%
791 1
0.3%
619 1
0.3%
530 1
0.3%
355 1
0.3%
352 1
0.3%
326 1
0.3%
240 1
0.3%

2015-11
Real number (ℝ)

MISSING  ZEROS 

Distinct109
Distinct (%)38.8%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean89.740214
Minimum0
Maximum7822
Zeros20
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:04.259581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q360
95-th percentile231
Maximum7822
Range7822
Interquartile range (IQR)56

Descriptive statistics

Standard deviation490.37677
Coefficient of variation (CV)5.4644039
Kurtosis223.609
Mean89.740214
Median Absolute Deviation (MAD)23
Skewness14.391115
Sum25217
Variance240469.38
MonotonicityNot monotonic
2024-04-21T09:28:04.522434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 20
 
6.6%
2 13
 
4.3%
4 9
 
3.0%
17 8
 
2.6%
24 6
 
2.0%
3 6
 
2.0%
5 6
 
2.0%
53 5
 
1.7%
6 5
 
1.7%
Other values (99) 175
57.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 20
6.6%
1 28
9.3%
2 13
4.3%
3 6
 
2.0%
4 9
 
3.0%
5 6
 
2.0%
6 5
 
1.7%
7 3
 
1.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
7822 1
0.3%
2090 1
0.3%
981 1
0.3%
838 1
0.3%
758 1
0.3%
451 1
0.3%
402 1
0.3%
351 1
0.3%
309 1
0.3%
308 1
0.3%

2015-12
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)37.0%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean83.967972
Minimum0
Maximum7333
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:04.786515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q355
95-th percentile217
Maximum7333
Range7333
Interquartile range (IQR)51

Descriptive statistics

Standard deviation457.58587
Coefficient of variation (CV)5.4495287
Kurtosis227.5938
Mean83.967972
Median Absolute Deviation (MAD)23
Skewness14.537948
Sum23595
Variance209384.83
MonotonicityNot monotonic
2024-04-21T09:28:05.036697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 23
 
7.6%
2 12
 
4.0%
7 8
 
2.6%
31 8
 
2.6%
4 7
 
2.3%
5 7
 
2.3%
12 7
 
2.3%
9 6
 
2.0%
21 5
 
1.7%
Other values (94) 172
57.0%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 23
7.6%
1 26
8.6%
2 12
4.0%
3 4
 
1.3%
4 7
 
2.3%
5 7
 
2.3%
6 3
 
1.0%
7 8
 
2.6%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
7333 1
0.3%
1812 1
0.3%
867 1
0.3%
762 1
0.3%
759 1
0.3%
407 1
0.3%
386 1
0.3%
335 1
0.3%
331 1
0.3%
277 1
0.3%

2016-01
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)33.5%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean66.800712
Minimum0
Maximum5832
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:05.288422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18
Q341
95-th percentile174
Maximum5832
Range5832
Interquartile range (IQR)37

Descriptive statistics

Standard deviation363.36008
Coefficient of variation (CV)5.4394642
Kurtosis228.99915
Mean66.800712
Median Absolute Deviation (MAD)17
Skewness14.595036
Sum18771
Variance132030.55
MonotonicityNot monotonic
2024-04-21T09:28:05.532105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 25
 
8.3%
14 13
 
4.3%
4 10
 
3.3%
3 9
 
3.0%
24 8
 
2.6%
2 8
 
2.6%
6 8
 
2.6%
7 7
 
2.3%
21 7
 
2.3%
Other values (84) 158
52.3%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 28
9.3%
1 25
8.3%
2 8
 
2.6%
3 9
 
3.0%
4 10
 
3.3%
5 4
 
1.3%
6 8
 
2.6%
7 7
 
2.3%
8 6
 
2.0%
9 1
 
0.3%
ValueCountFrequency (%)
5832 1
0.3%
1442 1
0.3%
586 1
0.3%
576 1
0.3%
553 1
0.3%
420 1
0.3%
283 1
0.3%
276 1
0.3%
237 1
0.3%
213 1
0.3%

2016-02
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)32.0%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean57.47331
Minimum0
Maximum5023
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:05.783911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q340
95-th percentile162
Maximum5023
Range5023
Interquartile range (IQR)37

Descriptive statistics

Standard deviation312.94438
Coefficient of variation (CV)5.4450385
Kurtosis229.15147
Mean57.47331
Median Absolute Deviation (MAD)15
Skewness14.61447
Sum16150
Variance97934.186
MonotonicityNot monotonic
2024-04-21T09:28:06.033015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 21
 
7.0%
2 14
 
4.6%
7 9
 
3.0%
3 9
 
3.0%
6 8
 
2.6%
17 7
 
2.3%
4 7
 
2.3%
29 7
 
2.3%
23 7
 
2.3%
Other values (80) 165
54.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 27
8.9%
1 21
7.0%
2 14
4.6%
3 9
 
3.0%
4 7
 
2.3%
5 4
 
1.3%
6 8
 
2.6%
7 9
 
3.0%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
5023 1
0.3%
1284 1
0.3%
576 1
0.3%
397 1
0.3%
393 1
0.3%
307 1
0.3%
256 1
0.3%
244 1
0.3%
230 1
0.3%
200 1
0.3%

2016-03
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)35.9%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean71.597865
Minimum0
Maximum6297
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:06.276621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median21
Q347
95-th percentile180
Maximum6297
Range6297
Interquartile range (IQR)42

Descriptive statistics

Standard deviation393.6039
Coefficient of variation (CV)5.4974251
Kurtosis226.38798
Mean71.597865
Median Absolute Deviation (MAD)19
Skewness14.513459
Sum20119
Variance154924.03
MonotonicityNot monotonic
2024-04-21T09:28:06.522734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 22
 
7.3%
6 11
 
3.6%
2 9
 
3.0%
4 7
 
2.3%
5 6
 
2.0%
46 6
 
2.0%
29 6
 
2.0%
12 6
 
2.0%
17 5
 
1.7%
Other values (91) 178
58.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 22
7.3%
1 25
8.3%
2 9
 
3.0%
3 5
 
1.7%
4 7
 
2.3%
5 6
 
2.0%
6 11
3.6%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
6297 1
0.3%
1683 1
0.3%
787 1
0.3%
586 1
0.3%
405 1
0.3%
391 1
0.3%
357 1
0.3%
271 1
0.3%
256 1
0.3%
230 1
0.3%

2016-04
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)36.7%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean72.967972
Minimum0
Maximum6441
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:06.769241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q351
95-th percentile175
Maximum6441
Range6441
Interquartile range (IQR)47

Descriptive statistics

Standard deviation402.41046
Coefficient of variation (CV)5.5148917
Kurtosis226.83629
Mean72.967972
Median Absolute Deviation (MAD)21
Skewness14.530937
Sum20504
Variance161934.18
MonotonicityNot monotonic
2024-04-21T09:28:07.019716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 21
 
7.0%
2 13
 
4.3%
4 10
 
3.3%
8 8
 
2.6%
18 7
 
2.3%
3 7
 
2.3%
35 6
 
2.0%
28 6
 
2.0%
6 6
 
2.0%
Other values (93) 171
56.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 21
7.0%
1 26
8.6%
2 13
4.3%
3 7
 
2.3%
4 10
 
3.3%
5 3
 
1.0%
6 6
 
2.0%
7 4
 
1.3%
8 8
 
2.6%
9 2
 
0.7%
ValueCountFrequency (%)
6441 1
0.3%
1705 1
0.3%
846 1
0.3%
534 1
0.3%
459 1
0.3%
353 1
0.3%
341 1
0.3%
335 1
0.3%
286 1
0.3%
257 1
0.3%

2016-05
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)36.3%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean77.231317
Minimum0
Maximum6849
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:07.330850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q349
95-th percentile184
Maximum6849
Range6849
Interquartile range (IQR)46

Descriptive statistics

Standard deviation429.03934
Coefficient of variation (CV)5.5552509
Kurtosis224.38175
Mean77.231317
Median Absolute Deviation (MAD)20
Skewness14.415353
Sum21702
Variance184074.76
MonotonicityNot monotonic
2024-04-21T09:28:07.768313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 19
 
6.3%
2 14
 
4.6%
3 11
 
3.6%
6 7
 
2.3%
16 7
 
2.3%
18 7
 
2.3%
27 6
 
2.0%
19 5
 
1.7%
29 5
 
1.7%
Other values (92) 172
57.0%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 28
9.3%
1 19
6.3%
2 14
4.6%
3 11
 
3.6%
4 5
 
1.7%
5 3
 
1.0%
6 7
 
2.3%
7 4
 
1.3%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
6849 1
0.3%
1759 1
0.3%
1016 1
0.3%
597 1
0.3%
584 1
0.3%
454 1
0.3%
419 1
0.3%
406 1
0.3%
332 1
0.3%
291 1
0.3%

2016-06
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)38.4%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean82.857651
Minimum0
Maximum7319
Zeros20
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:08.183447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median22
Q361
95-th percentile196
Maximum7319
Range7319
Interquartile range (IQR)56

Descriptive statistics

Standard deviation460.00578
Coefficient of variation (CV)5.5517598
Kurtosis221.61925
Mean82.857651
Median Absolute Deviation (MAD)21
Skewness14.322693
Sum23283
Variance211605.32
MonotonicityNot monotonic
2024-04-21T09:28:08.587431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 20
 
6.6%
2 11
 
3.6%
21 7
 
2.3%
3 7
 
2.3%
5 6
 
2.0%
8 6
 
2.0%
46 6
 
2.0%
22 6
 
2.0%
7 6
 
2.0%
Other values (98) 178
58.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 20
6.6%
1 28
9.3%
2 11
 
3.6%
3 7
 
2.3%
4 4
 
1.3%
5 6
 
2.0%
6 3
 
1.0%
7 6
 
2.0%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
7319 1
0.3%
2002 1
0.3%
1147 1
0.3%
696 1
0.3%
619 1
0.3%
430 1
0.3%
384 1
0.3%
282 1
0.3%
260 1
0.3%
233 1
0.3%

2016-07
Real number (ℝ)

MISSING  ZEROS 

Distinct115
Distinct (%)41.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean87.302158
Minimum0
Maximum7618
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:09.099809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q361.75
95-th percentile194.1
Maximum7618
Range7618
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation485.5775
Coefficient of variation (CV)5.5620332
Kurtosis212.15287
Mean87.302158
Median Absolute Deviation (MAD)22
Skewness13.984369
Sum24270
Variance235785.51
MonotonicityNot monotonic
2024-04-21T09:28:09.351089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 26
 
8.6%
2 8
 
2.6%
4 8
 
2.6%
5 7
 
2.3%
16 6
 
2.0%
10 5
 
1.7%
24 5
 
1.7%
17 5
 
1.7%
7 5
 
1.7%
Other values (105) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 27
8.9%
1 26
8.6%
2 8
 
2.6%
3 5
 
1.7%
4 8
 
2.6%
5 7
 
2.3%
6 4
 
1.3%
7 5
 
1.7%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
7618 1
0.3%
2281 1
0.3%
1438 1
0.3%
556 2
0.7%
443 1
0.3%
354 1
0.3%
257 1
0.3%
249 1
0.3%
242 1
0.3%
241 1
0.3%

2016-08
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)39.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean90.964029
Minimum0
Maximum7941
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:09.608742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22
Q367
95-th percentile200.65
Maximum7941
Range7941
Interquartile range (IQR)63

Descriptive statistics

Standard deviation506.08247
Coefficient of variation (CV)5.563545
Kurtosis212.4003
Mean90.964029
Median Absolute Deviation (MAD)21
Skewness13.997958
Sum25288
Variance256119.46
MonotonicityNot monotonic
2024-04-21T09:28:09.868471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 23
 
7.6%
3 9
 
3.0%
6 8
 
2.6%
2 7
 
2.3%
13 6
 
2.0%
29 6
 
2.0%
7 6
 
2.0%
15 6
 
2.0%
18 6
 
2.0%
Other values (101) 171
56.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 23
7.6%
1 30
9.9%
2 7
 
2.3%
3 9
 
3.0%
4 5
 
1.7%
5 4
 
1.3%
6 8
 
2.6%
7 6
 
2.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
7941 1
0.3%
2447 1
0.3%
1309 1
0.3%
667 1
0.3%
567 1
0.3%
504 1
0.3%
403 1
0.3%
278 1
0.3%
271 1
0.3%
257 1
0.3%

2016-09
Real number (ℝ)

MISSING  ZEROS 

Distinct110
Distinct (%)39.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean85.982014
Minimum0
Maximum7501
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:10.124251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22
Q359.75
95-th percentile198.75
Maximum7501
Range7501
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation476.2231
Coefficient of variation (CV)5.5386363
Kurtosis215.43297
Mean85.982014
Median Absolute Deviation (MAD)21
Skewness14.110198
Sum23903
Variance226788.44
MonotonicityNot monotonic
2024-04-21T09:28:10.399155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 22
 
7.3%
2 8
 
2.6%
3 8
 
2.6%
6 7
 
2.3%
5 7
 
2.3%
22 7
 
2.3%
4 7
 
2.3%
7 6
 
2.0%
18 5
 
1.7%
Other values (100) 171
56.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 30
9.9%
2 8
 
2.6%
3 8
 
2.6%
4 7
 
2.3%
5 7
 
2.3%
6 7
 
2.3%
7 6
 
2.0%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
7501 1
0.3%
2237 1
0.3%
1070 1
0.3%
822 1
0.3%
463 1
0.3%
436 1
0.3%
435 1
0.3%
274 1
0.3%
252 1
0.3%
236 2
0.7%

2016-10
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)42.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean101.72302
Minimum0
Maximum8856
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:10.657190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25.5
Q373
95-th percentile250.6
Maximum8856
Range8856
Interquartile range (IQR)69

Descriptive statistics

Standard deviation562.32551
Coefficient of variation (CV)5.5280064
Kurtosis215.34657
Mean101.72302
Median Absolute Deviation (MAD)24.5
Skewness14.109654
Sum28279
Variance316209.98
MonotonicityNot monotonic
2024-04-21T09:28:10.897085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 19
 
6.3%
2 10
 
3.3%
3 9
 
3.0%
6 8
 
2.6%
12 6
 
2.0%
20 6
 
2.0%
17 5
 
1.7%
23 5
 
1.7%
4 5
 
1.7%
Other values (107) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 29
9.6%
2 10
 
3.3%
3 9
 
3.0%
4 5
 
1.7%
5 3
 
1.0%
6 8
 
2.6%
7 3
 
1.0%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
8856 1
0.3%
2665 1
0.3%
1284 1
0.3%
832 1
0.3%
573 1
0.3%
524 1
0.3%
478 1
0.3%
390 1
0.3%
281 1
0.3%
274 1
0.3%

2016-11
Real number (ℝ)

MISSING  ZEROS 

Distinct116
Distinct (%)41.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean97.086331
Minimum0
Maximum8486
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:11.139773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median27
Q369.75
95-th percentile253.9
Maximum8486
Range8486
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation534.66125
Coefficient of variation (CV)5.5070703
Kurtosis221.74189
Mean97.086331
Median Absolute Deviation (MAD)25
Skewness14.348994
Sum26990
Variance285862.65
MonotonicityNot monotonic
2024-04-21T09:28:11.380350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 22
 
7.3%
2 11
 
3.6%
7 10
 
3.3%
19 7
 
2.3%
4 6
 
2.0%
12 6
 
2.0%
27 6
 
2.0%
31 5
 
1.7%
10 5
 
1.7%
Other values (106) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 24
7.9%
2 11
3.6%
3 5
 
1.7%
4 6
 
2.0%
5 1
 
0.3%
6 5
 
1.7%
7 10
3.3%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
8486 1
0.3%
2334 1
0.3%
1100 1
0.3%
809 1
0.3%
580 1
0.3%
511 1
0.3%
474 1
0.3%
319 1
0.3%
314 1
0.3%
307 1
0.3%

2016-12
Real number (ℝ)

MISSING  ZEROS 

Distinct106
Distinct (%)38.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean86.107914
Minimum0
Maximum7540
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:11.620290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median24
Q361.75
95-th percentile230
Maximum7540
Range7540
Interquartile range (IQR)56.75

Descriptive statistics

Standard deviation476.67039
Coefficient of variation (CV)5.5357326
Kurtosis218.97557
Mean86.107914
Median Absolute Deviation (MAD)23
Skewness14.248859
Sum23938
Variance227214.66
MonotonicityNot monotonic
2024-04-21T09:28:11.872288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 21
 
7.0%
5 11
 
3.6%
2 8
 
2.6%
4 7
 
2.3%
51 7
 
2.3%
12 6
 
2.0%
13 6
 
2.0%
27 5
 
1.7%
125 5
 
1.7%
Other values (96) 173
57.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 21
7.0%
1 29
9.6%
2 8
 
2.6%
3 4
 
1.3%
4 7
 
2.3%
5 11
 
3.6%
6 4
 
1.3%
7 4
 
1.3%
8 1
 
0.3%
9 5
 
1.7%
ValueCountFrequency (%)
7540 1
0.3%
2166 1
0.3%
1068 1
0.3%
693 1
0.3%
503 1
0.3%
410 1
0.3%
319 1
0.3%
300 1
0.3%
281 1
0.3%
277 1
0.3%

2017-01
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)33.5%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean64.169065
Minimum0
Maximum5609
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:12.119391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median17
Q338.75
95-th percentile172.5
Maximum5609
Range5609
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation352.22539
Coefficient of variation (CV)5.4890217
Kurtosis224.58882
Mean64.169065
Median Absolute Deviation (MAD)15
Skewness14.457751
Sum17839
Variance124062.73
MonotonicityNot monotonic
2024-04-21T09:28:12.353078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 22
 
7.3%
3 12
 
4.0%
6 9
 
3.0%
4 9
 
3.0%
2 9
 
3.0%
9 7
 
2.3%
22 7
 
2.3%
11 7
 
2.3%
17 6
 
2.0%
Other values (83) 163
54.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 27
8.9%
2 9
 
3.0%
3 12
4.0%
4 9
 
3.0%
5 5
 
1.7%
6 9
 
3.0%
7 5
 
1.7%
8 4
 
1.3%
9 7
 
2.3%
ValueCountFrequency (%)
5609 1
0.3%
1500 1
0.3%
602 1
0.3%
472 1
0.3%
457 1
0.3%
276 1
0.3%
275 1
0.3%
262 1
0.3%
247 1
0.3%
231 1
0.3%

2017-02
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)32.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean63.107914
Minimum0
Maximum5523
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:12.589224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median19
Q342.75
95-th percentile171.3
Maximum5523
Range5523
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation345.49479
Coefficient of variation (CV)5.4746667
Kurtosis227.87082
Mean63.107914
Median Absolute Deviation (MAD)17
Skewness14.579914
Sum17544
Variance119366.65
MonotonicityNot monotonic
2024-04-21T09:28:12.822532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
10.6%
0 17
 
5.6%
19 11
 
3.6%
2 11
 
3.6%
3 9
 
3.0%
5 8
 
2.6%
7 8
 
2.6%
6 7
 
2.3%
17 7
 
2.3%
40 5
 
1.7%
Other values (81) 163
54.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 32
10.6%
2 11
 
3.6%
3 9
 
3.0%
4 4
 
1.3%
5 8
 
2.6%
6 7
 
2.3%
7 8
 
2.6%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
5523 1
0.3%
1378 1
0.3%
597 1
0.3%
480 1
0.3%
477 1
0.3%
302 1
0.3%
267 1
0.3%
264 1
0.3%
250 1
0.3%
240 1
0.3%

2017-03
Real number (ℝ)

MISSING  ZEROS 

Distinct99
Distinct (%)35.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean78.917266
Minimum0
Maximum6904
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:13.061565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median23.5
Q349
95-th percentile192.65
Maximum6904
Range6904
Interquartile range (IQR)44

Descriptive statistics

Standard deviation434.57406
Coefficient of variation (CV)5.5067045
Kurtosis222.66994
Mean78.917266
Median Absolute Deviation (MAD)20.5
Skewness14.393697
Sum21939
Variance188854.62
MonotonicityNot monotonic
2024-04-21T09:28:13.314066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 17
 
5.6%
2 13
 
4.3%
8 11
 
3.6%
3 9
 
3.0%
16 6
 
2.0%
4 6
 
2.0%
24 6
 
2.0%
6 6
 
2.0%
15 6
 
2.0%
Other values (89) 174
57.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 24
7.9%
2 13
4.3%
3 9
 
3.0%
4 6
 
2.0%
5 5
 
1.7%
6 6
 
2.0%
7 4
 
1.3%
8 11
3.6%
9 1
 
0.3%
ValueCountFrequency (%)
6904 1
0.3%
1935 1
0.3%
747 1
0.3%
548 1
0.3%
519 1
0.3%
424 1
0.3%
351 1
0.3%
326 1
0.3%
319 1
0.3%
288 1
0.3%

2017-04
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)38.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean79.856115
Minimum0
Maximum6973
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:13.564083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median24
Q352.75
95-th percentile197.9
Maximum6973
Range6973
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation438.51471
Coefficient of variation (CV)5.4913103
Kurtosis223.2784
Mean79.856115
Median Absolute Deviation (MAD)21
Skewness14.405178
Sum22200
Variance192295.15
MonotonicityNot monotonic
2024-04-21T09:28:13.812045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 21
 
7.0%
3 15
 
5.0%
2 9
 
3.0%
28 8
 
2.6%
39 6
 
2.0%
43 6
 
2.0%
4 6
 
2.0%
5 6
 
2.0%
10 6
 
2.0%
Other values (98) 170
56.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 21
7.0%
1 25
8.3%
2 9
 
3.0%
3 15
5.0%
4 6
 
2.0%
5 6
 
2.0%
6 5
 
1.7%
7 1
 
0.3%
8 1
 
0.3%
9 2
 
0.7%
ValueCountFrequency (%)
6973 1
0.3%
1856 1
0.3%
943 1
0.3%
644 1
0.3%
479 1
0.3%
395 1
0.3%
337 1
0.3%
303 1
0.3%
270 1
0.3%
263 1
0.3%

2017-05
Real number (ℝ)

MISSING  ZEROS 

Distinct110
Distinct (%)39.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean93.158273
Minimum0
Maximum8093
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:14.092913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27
Q363
95-th percentile225.6
Maximum8093
Range8093
Interquartile range (IQR)59

Descriptive statistics

Standard deviation508.78429
Coefficient of variation (CV)5.4615041
Kurtosis223.3779
Mean93.158273
Median Absolute Deviation (MAD)25
Skewness14.395465
Sum25898
Variance258861.46
MonotonicityNot monotonic
2024-04-21T09:28:14.634223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 22
 
7.3%
2 14
 
4.6%
19 6
 
2.0%
5 6
 
2.0%
29 6
 
2.0%
6 5
 
1.7%
39 5
 
1.7%
13 5
 
1.7%
17 5
 
1.7%
Other values (100) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 28
9.3%
2 14
4.6%
3 4
 
1.3%
4 4
 
1.3%
5 6
 
2.0%
6 5
 
1.7%
7 1
 
0.3%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
8093 1
0.3%
2069 1
0.3%
1134 1
0.3%
788 1
0.3%
655 1
0.3%
479 1
0.3%
432 1
0.3%
364 1
0.3%
341 1
0.3%
318 1
0.3%

2017-06
Real number (ℝ)

MISSING  ZEROS 

Distinct123
Distinct (%)44.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean104.97842
Minimum0
Maximum9113
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:14.910464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median30
Q371
95-th percentile250.45
Maximum9113
Range9113
Interquartile range (IQR)66

Descriptive statistics

Standard deviation578.31439
Coefficient of variation (CV)5.5088884
Kurtosis215.72655
Mean104.97842
Median Absolute Deviation (MAD)28
Skewness14.122355
Sum29184
Variance334447.53
MonotonicityNot monotonic
2024-04-21T09:28:15.152516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 22
 
7.3%
3 9
 
3.0%
5 9
 
3.0%
2 7
 
2.3%
7 7
 
2.3%
55 6
 
2.0%
33 5
 
1.7%
27 5
 
1.7%
18 5
 
1.7%
Other values (113) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 27
8.9%
2 7
 
2.3%
3 9
 
3.0%
4 2
 
0.7%
5 9
 
3.0%
6 3
 
1.0%
7 7
 
2.3%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
9113 1
0.3%
2689 1
0.3%
1468 1
0.3%
770 1
0.3%
555 1
0.3%
523 1
0.3%
459 1
0.3%
382 1
0.3%
359 1
0.3%
323 1
0.3%

2017-07
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)43.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean112.79856
Minimum0
Maximum9823
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:15.398186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median30
Q372.25
95-th percentile269.1
Maximum9823
Range9823
Interquartile range (IQR)68.25

Descriptive statistics

Standard deviation626.89718
Coefficient of variation (CV)5.55767
Kurtosis211.50331
Mean112.79856
Median Absolute Deviation (MAD)28
Skewness13.978398
Sum31358
Variance393000.07
MonotonicityNot monotonic
2024-04-21T09:28:15.648906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
7.6%
1 21
 
7.0%
2 15
 
5.0%
3 7
 
2.3%
4 7
 
2.3%
14 5
 
1.7%
31 5
 
1.7%
10 5
 
1.7%
8 5
 
1.7%
30 5
 
1.7%
Other values (112) 180
59.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 23
7.6%
1 21
7.0%
2 15
5.0%
3 7
 
2.3%
4 7
 
2.3%
5 1
 
0.3%
6 4
 
1.3%
7 4
 
1.3%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
9823 1
0.3%
3176 1
0.3%
1439 1
0.3%
727 1
0.3%
629 1
0.3%
553 1
0.3%
506 1
0.3%
460 1
0.3%
354 2
0.7%
349 1
0.3%

2017-08
Real number (ℝ)

MISSING  ZEROS 

Distinct129
Distinct (%)46.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean128.90647
Minimum0
Maximum11252
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:15.896489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median29
Q387
95-th percentile276.15
Maximum11252
Range11252
Interquartile range (IQR)82

Descriptive statistics

Standard deviation716.16691
Coefficient of variation (CV)5.5557094
Kurtosis213.35566
Mean128.90647
Median Absolute Deviation (MAD)28
Skewness14.025605
Sum35836
Variance512895.05
MonotonicityNot monotonic
2024-04-21T09:28:16.142056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 20
 
6.6%
2 13
 
4.3%
26 7
 
2.3%
3 6
 
2.0%
12 6
 
2.0%
10 5
 
1.7%
36 5
 
1.7%
5 4
 
1.3%
7 4
 
1.3%
Other values (119) 181
59.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 27
8.9%
1 20
6.6%
2 13
4.3%
3 6
 
2.0%
4 2
 
0.7%
5 4
 
1.3%
6 3
 
1.0%
7 4
 
1.3%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
11252 1
0.3%
3397 1
0.3%
1768 1
0.3%
1017 1
0.3%
850 1
0.3%
782 1
0.3%
625 1
0.3%
481 1
0.3%
382 1
0.3%
336 1
0.3%

2017-09
Real number (ℝ)

MISSING  ZEROS 

Distinct115
Distinct (%)41.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean108.89928
Minimum0
Maximum9472
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:16.386045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median28.5
Q373
95-th percentile275.05
Maximum9472
Range9472
Interquartile range (IQR)69

Descriptive statistics

Standard deviation603.97921
Coefficient of variation (CV)5.5462185
Kurtosis212.21757
Mean108.89928
Median Absolute Deviation (MAD)26.5
Skewness14.006057
Sum30274
Variance364790.89
MonotonicityNot monotonic
2024-04-21T09:28:16.628186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 21
 
7.0%
2 10
 
3.3%
3 8
 
2.6%
38 6
 
2.0%
4 6
 
2.0%
21 5
 
1.7%
11 5
 
1.7%
32 5
 
1.7%
65 4
 
1.3%
Other values (105) 180
59.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 21
7.0%
1 28
9.3%
2 10
 
3.3%
3 8
 
2.6%
4 6
 
2.0%
5 2
 
0.7%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
9 1
 
0.3%
ValueCountFrequency (%)
9472 1
0.3%
3071 1
0.3%
1194 1
0.3%
701 1
0.3%
633 1
0.3%
568 1
0.3%
542 1
0.3%
528 1
0.3%
437 1
0.3%
336 1
0.3%

2017-10
Real number (ℝ)

MISSING  ZEROS 

Distinct110
Distinct (%)39.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean86.834532
Minimum0
Maximum7463
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:16.863967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q357.75
95-th percentile229.75
Maximum7463
Range7463
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation482.06472
Coefficient of variation (CV)5.5515324
Kurtosis202.97294
Mean86.834532
Median Absolute Deviation (MAD)19
Skewness13.69786
Sum24140
Variance232386.39
MonotonicityNot monotonic
2024-04-21T09:28:17.114771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
7.6%
1 23
 
7.6%
2 14
 
4.6%
3 11
 
3.6%
6 8
 
2.6%
30 7
 
2.3%
9 6
 
2.0%
13 6
 
2.0%
23 6
 
2.0%
16 6
 
2.0%
Other values (100) 168
55.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 23
7.6%
1 23
7.6%
2 14
4.6%
3 11
3.6%
4 5
 
1.7%
5 3
 
1.0%
6 8
 
2.6%
7 3
 
1.0%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
7463 1
0.3%
2812 1
0.3%
652 1
0.3%
565 1
0.3%
455 1
0.3%
434 1
0.3%
421 1
0.3%
404 1
0.3%
347 1
0.3%
332 1
0.3%

2017-11
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)42.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean101.34892
Minimum0
Maximum8838
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:17.373434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median27
Q362
95-th percentile273.05
Maximum8838
Range8838
Interquartile range (IQR)57

Descriptive statistics

Standard deviation562.4958
Coefficient of variation (CV)5.5500916
Kurtosis213.87357
Mean101.34892
Median Absolute Deviation (MAD)25
Skewness14.080696
Sum28175
Variance316401.52
MonotonicityNot monotonic
2024-04-21T09:28:17.613927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 23
 
7.6%
0 18
 
6.0%
2 13
 
4.3%
5 9
 
3.0%
4 8
 
2.6%
27 8
 
2.6%
3 6
 
2.0%
9 5
 
1.7%
16 5
 
1.7%
37 5
 
1.7%
Other values (107) 178
58.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 23
7.6%
2 13
4.3%
3 6
 
2.0%
4 8
 
2.6%
5 9
 
3.0%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
8838 1
0.3%
2875 1
0.3%
882 1
0.3%
792 1
0.3%
564 1
0.3%
482 1
0.3%
399 1
0.3%
378 1
0.3%
359 1
0.3%
352 1
0.3%

2017-12
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)42.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean100.16547
Minimum0
Maximum8751
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:17.854683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23.5
Q362.75
95-th percentile244.45
Maximum8751
Range8751
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation557.21084
Coefficient of variation (CV)5.5629036
Kurtosis213.27588
Mean100.16547
Median Absolute Deviation (MAD)22.5
Skewness14.043288
Sum27846
Variance310483.92
MonotonicityNot monotonic
2024-04-21T09:28:18.165346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
8.3%
1 24
 
7.9%
2 10
 
3.3%
4 10
 
3.3%
20 7
 
2.3%
8 7
 
2.3%
3 6
 
2.0%
11 5
 
1.7%
6 5
 
1.7%
7 4
 
1.3%
Other values (108) 175
57.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 25
8.3%
1 24
7.9%
2 10
 
3.3%
3 6
 
2.0%
4 10
 
3.3%
5 1
 
0.3%
6 5
 
1.7%
7 4
 
1.3%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
8751 1
0.3%
2748 1
0.3%
1347 1
0.3%
611 1
0.3%
500 1
0.3%
489 1
0.3%
405 1
0.3%
342 1
0.3%
340 1
0.3%
320 1
0.3%

2018-01
Real number (ℝ)

MISSING  ZEROS 

Distinct124
Distinct (%)44.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean118.6223
Minimum0
Maximum10395
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:18.586079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median26.5
Q378.25
95-th percentile310.75
Maximum10395
Range10395
Interquartile range (IQR)74

Descriptive statistics

Standard deviation657.47637
Coefficient of variation (CV)5.5426033
Kurtosis218.57192
Mean118.6223
Median Absolute Deviation (MAD)25.5
Skewness14.228252
Sum32977
Variance432275.17
MonotonicityNot monotonic
2024-04-21T09:28:19.042269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 18
 
6.0%
2 11
 
3.6%
4 7
 
2.3%
3 6
 
2.0%
7 6
 
2.0%
6 5
 
1.7%
49 4
 
1.3%
19 4
 
1.3%
26 4
 
1.3%
Other values (114) 185
61.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 28
9.3%
2 11
 
3.6%
3 6
 
2.0%
4 7
 
2.3%
5 3
 
1.0%
6 5
 
1.7%
7 6
 
2.0%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
10395 1
0.3%
3001 1
0.3%
1429 1
0.3%
783 1
0.3%
655 1
0.3%
622 1
0.3%
550 1
0.3%
505 1
0.3%
467 1
0.3%
447 1
0.3%

2018-02
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)41.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean100.03597
Minimum0
Maximum8698
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:19.467123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24.5
Q355.5
95-th percentile281.25
Maximum8698
Range8698
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation555.81744
Coefficient of variation (CV)5.5561758
Kurtosis210.64914
Mean100.03597
Median Absolute Deviation (MAD)22.5
Skewness13.956387
Sum27810
Variance308933.03
MonotonicityNot monotonic
2024-04-21T09:28:19.903188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 31
 
10.3%
0 19
 
6.3%
2 12
 
4.0%
18 6
 
2.0%
15 6
 
2.0%
13 6
 
2.0%
10 6
 
2.0%
4 5
 
1.7%
5 5
 
1.7%
25 5
 
1.7%
Other values (104) 177
58.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 31
10.3%
2 12
 
4.0%
3 5
 
1.7%
4 5
 
1.7%
5 5
 
1.7%
6 1
 
0.3%
7 1
 
0.3%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
8698 1
0.3%
2902 1
0.3%
1181 1
0.3%
518 1
0.3%
450 1
0.3%
407 1
0.3%
405 1
0.3%
374 1
0.3%
368 1
0.3%
367 1
0.3%

2018-03
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)43.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean120.1259
Minimum0
Maximum10465
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:20.316612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median29
Q376
95-th percentile337.75
Maximum10465
Range10465
Interquartile range (IQR)70.75

Descriptive statistics

Standard deviation669.55772
Coefficient of variation (CV)5.5737999
Kurtosis209.67235
Mean120.1259
Median Absolute Deviation (MAD)27
Skewness13.919604
Sum33395
Variance448307.54
MonotonicityNot monotonic
2024-04-21T09:28:20.753332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 17
 
5.6%
2 10
 
3.3%
29 8
 
2.6%
3 8
 
2.6%
5 7
 
2.3%
30 6
 
2.0%
7 5
 
1.7%
16 5
 
1.7%
22 5
 
1.7%
Other values (112) 183
60.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 24
7.9%
2 10
3.3%
3 8
 
2.6%
4 4
 
1.3%
5 7
 
2.3%
6 4
 
1.3%
7 5
 
1.7%
8 2
 
0.7%
9 4
 
1.3%
ValueCountFrequency (%)
10465 1
 
0.3%
3501 1
 
0.3%
1576 1
 
0.3%
626 1
 
0.3%
497 1
 
0.3%
445 1
 
0.3%
427 4
1.3%
392 1
 
0.3%
360 1
 
0.3%
345 1
 
0.3%

2018-04
Real number (ℝ)

MISSING  ZEROS 

Distinct109
Distinct (%)39.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean88.079137
Minimum0
Maximum7661
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:21.164697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22.5
Q350
95-th percentile245.1
Maximum7661
Range7661
Interquartile range (IQR)46

Descriptive statistics

Standard deviation488.91548
Coefficient of variation (CV)5.550866
Kurtosis211.7876
Mean88.079137
Median Absolute Deviation (MAD)20.5
Skewness14.005539
Sum24486
Variance239038.35
MonotonicityNot monotonic
2024-04-21T09:28:21.867291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 21
 
7.0%
2 10
 
3.3%
14 8
 
2.6%
4 7
 
2.3%
12 6
 
2.0%
34 6
 
2.0%
3 6
 
2.0%
36 6
 
2.0%
9 5
 
1.7%
Other values (99) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 21
7.0%
1 27
8.9%
2 10
 
3.3%
3 6
 
2.0%
4 7
 
2.3%
5 4
 
1.3%
6 1
 
0.3%
7 3
 
1.0%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
7661 1
0.3%
2571 1
0.3%
749 1
0.3%
526 1
0.3%
449 1
0.3%
404 1
0.3%
389 1
0.3%
386 1
0.3%
382 1
0.3%
366 1
0.3%

2018-05
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)37.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean88.392086
Minimum0
Maximum7754
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:22.295632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q353.25
95-th percentile251.6
Maximum7754
Range7754
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation493.94512
Coefficient of variation (CV)5.5881148
Kurtosis213.03158
Mean88.392086
Median Absolute Deviation (MAD)18
Skewness14.031868
Sum24573
Variance243981.78
MonotonicityNot monotonic
2024-04-21T09:28:22.749114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 17
 
5.6%
2 14
 
4.6%
3 12
 
4.0%
25 7
 
2.3%
17 7
 
2.3%
4 7
 
2.3%
21 6
 
2.0%
7 6
 
2.0%
32 6
 
2.0%
Other values (93) 170
56.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 26
8.6%
2 14
4.6%
3 12
4.0%
4 7
 
2.3%
5 4
 
1.3%
6 6
 
2.0%
7 6
 
2.0%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
7754 1
0.3%
2481 1
0.3%
913 1
0.3%
658 1
0.3%
502 1
0.3%
466 1
0.3%
432 1
0.3%
349 1
0.3%
317 1
0.3%
309 1
0.3%

2018-06
Real number (ℝ)

MISSING  ZEROS 

Distinct109
Distinct (%)39.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean89.967626
Minimum0
Maximum7904
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:23.180005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20.5
Q352.75
95-th percentile268.35
Maximum7904
Range7904
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation504.34159
Coefficient of variation (CV)5.605812
Kurtosis211.99061
Mean89.967626
Median Absolute Deviation (MAD)18.5
Skewness14.010187
Sum25011
Variance254360.44
MonotonicityNot monotonic
2024-04-21T09:28:23.643387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
8.3%
1 22
 
7.3%
2 13
 
4.3%
6 10
 
3.3%
10 9
 
3.0%
3 7
 
2.3%
7 6
 
2.0%
18 6
 
2.0%
23 5
 
1.7%
8 5
 
1.7%
Other values (99) 170
56.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 25
8.3%
1 22
7.3%
2 13
4.3%
3 7
 
2.3%
4 5
 
1.7%
5 4
 
1.3%
6 10
 
3.3%
7 6
 
2.0%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
7904 1
0.3%
2644 1
0.3%
637 1
0.3%
492 1
0.3%
480 1
0.3%
471 2
0.7%
458 1
0.3%
397 1
0.3%
381 2
0.7%
364 1
0.3%

2018-07
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)37.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean93.781362
Minimum0
Maximum8195
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:24.072215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median19
Q356
95-th percentile254.8
Maximum8195
Range8195
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation530.58521
Coefficient of variation (CV)5.6576829
Kurtosis200.87322
Mean93.781362
Median Absolute Deviation (MAD)18
Skewness13.619332
Sum26165
Variance281520.66
MonotonicityNot monotonic
2024-04-21T09:28:24.493438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 22
 
7.3%
2 15
 
5.0%
6 11
 
3.6%
12 9
 
3.0%
7 7
 
2.3%
11 6
 
2.0%
19 6
 
2.0%
3 6
 
2.0%
4 5
 
1.7%
Other values (94) 165
54.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 22
7.3%
1 27
8.9%
2 15
5.0%
3 6
 
2.0%
4 5
 
1.7%
5 2
 
0.7%
6 11
3.6%
7 7
 
2.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
8195 1
0.3%
3162 1
0.3%
992 1
0.3%
523 1
0.3%
481 1
0.3%
421 1
0.3%
383 1
0.3%
379 2
0.7%
345 1
0.3%
328 1
0.3%

2018-08
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)41.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean88.374101
Minimum0
Maximum7717
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:24.902089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22.5
Q357
95-th percentile248.65
Maximum7717
Range7717
Interquartile range (IQR)53

Descriptive statistics

Standard deviation499.75662
Coefficient of variation (CV)5.6550123
Kurtosis201.45277
Mean88.374101
Median Absolute Deviation (MAD)20.5
Skewness13.66073
Sum24568
Variance249756.68
MonotonicityNot monotonic
2024-04-21T09:28:25.356215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 19
 
6.3%
4 11
 
3.6%
3 10
 
3.3%
2 9
 
3.0%
9 6
 
2.0%
10 6
 
2.0%
32 5
 
1.7%
30 5
 
1.7%
18 5
 
1.7%
Other values (104) 174
57.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 28
9.3%
2 9
 
3.0%
3 10
 
3.3%
4 11
 
3.6%
5 5
 
1.7%
6 4
 
1.3%
7 3
 
1.0%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
7717 1
0.3%
2983 1
0.3%
944 1
0.3%
422 1
0.3%
384 1
0.3%
350 1
0.3%
342 1
0.3%
323 1
0.3%
316 1
0.3%
309 1
0.3%

2018-09
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)41.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean98.035971
Minimum0
Maximum8453
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:25.785476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21.5
Q365.75
95-th percentile234.15
Maximum8453
Range8453
Interquartile range (IQR)62.75

Descriptive statistics

Standard deviation550.40938
Coefficient of variation (CV)5.6143614
Kurtosis197.13702
Mean98.035971
Median Absolute Deviation (MAD)20.5
Skewness13.474986
Sum27254
Variance302950.48
MonotonicityNot monotonic
2024-04-21T09:28:26.203919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 24
 
7.9%
2 13
 
4.3%
4 9
 
3.0%
26 7
 
2.3%
3 7
 
2.3%
10 7
 
2.3%
5 6
 
2.0%
21 5
 
1.7%
8 5
 
1.7%
Other values (104) 168
55.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 24
7.9%
1 27
8.9%
2 13
4.3%
3 7
 
2.3%
4 9
 
3.0%
5 6
 
2.0%
6 2
 
0.7%
7 4
 
1.3%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
8453 1
0.3%
3297 1
0.3%
1317 1
0.3%
508 1
0.3%
502 1
0.3%
425 1
0.3%
398 1
0.3%
389 1
0.3%
322 1
0.3%
305 1
0.3%

2018-10
Real number (ℝ)

MISSING  ZEROS 

Distinct116
Distinct (%)41.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean111.5036
Minimum0
Maximum9509
Zeros16
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:26.606540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25.5
Q372
95-th percentile309.1
Maximum9509
Range9509
Interquartile range (IQR)68

Descriptive statistics

Standard deviation619.24188
Coefficient of variation (CV)5.5535597
Kurtosis197.1995
Mean111.5036
Median Absolute Deviation (MAD)23.5
Skewness13.487589
Sum30998
Variance383460.51
MonotonicityNot monotonic
2024-04-21T09:28:27.025348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
2 16
 
5.3%
0 16
 
5.3%
13 8
 
2.6%
22 7
 
2.3%
29 6
 
2.0%
11 6
 
2.0%
4 6
 
2.0%
3 6
 
2.0%
23 5
 
1.7%
Other values (106) 174
57.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 16
5.3%
1 28
9.3%
2 16
5.3%
3 6
 
2.0%
4 6
 
2.0%
5 4
 
1.3%
6 4
 
1.3%
7 5
 
1.7%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
9509 1
0.3%
3773 1
0.3%
1261 1
0.3%
615 1
0.3%
515 1
0.3%
477 1
0.3%
441 1
0.3%
386 1
0.3%
385 1
0.3%
365 1
0.3%

2018-11
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)38.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean86.251799
Minimum0
Maximum7393
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:27.422263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20.5
Q353.75
95-th percentile260.45
Maximum7393
Range7393
Interquartile range (IQR)49.75

Descriptive statistics

Standard deviation472.74747
Coefficient of variation (CV)5.4810158
Kurtosis210.15931
Mean86.251799
Median Absolute Deviation (MAD)18.5
Skewness13.944179
Sum23978
Variance223490.17
MonotonicityNot monotonic
2024-04-21T09:28:27.859366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 18
 
6.0%
2 15
 
5.0%
3 11
 
3.6%
6 8
 
2.6%
11 7
 
2.3%
5 6
 
2.0%
20 6
 
2.0%
15 6
 
2.0%
29 6
 
2.0%
Other values (98) 171
56.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 24
7.9%
2 15
5.0%
3 11
3.6%
4 5
 
1.7%
5 6
 
2.0%
6 8
 
2.6%
7 4
 
1.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
7393 1
0.3%
2534 1
0.3%
555 1
0.3%
551 1
0.3%
484 1
0.3%
451 1
0.3%
441 1
0.3%
411 1
0.3%
345 1
0.3%
335 1
0.3%

2018-12
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)34.5%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean72.597122
Minimum0
Maximum6279
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:28.271821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median16.5
Q351.5
95-th percentile231.05
Maximum6279
Range6279
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation395.71206
Coefficient of variation (CV)5.4507954
Kurtosis221.52108
Mean72.597122
Median Absolute Deviation (MAD)15.5
Skewness14.342739
Sum20182
Variance156588.03
MonotonicityNot monotonic
2024-04-21T09:28:28.713574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 18
 
6.0%
2 15
 
5.0%
4 12
 
4.0%
8 9
 
3.0%
20 9
 
3.0%
21 7
 
2.3%
6 7
 
2.3%
3 7
 
2.3%
14 7
 
2.3%
Other values (86) 158
52.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 29
9.6%
2 15
5.0%
3 7
 
2.3%
4 12
4.0%
5 7
 
2.3%
6 7
 
2.3%
7 2
 
0.7%
8 9
 
3.0%
10 6
 
2.0%
ValueCountFrequency (%)
6279 1
0.3%
1785 1
0.3%
548 1
0.3%
514 1
0.3%
430 1
0.3%
387 1
0.3%
381 1
0.3%
298 1
0.3%
289 1
0.3%
283 1
0.3%

2019-01
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)37.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean78.118705
Minimum0
Maximum6879
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:29.118116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q346
95-th percentile220.2
Maximum6879
Range6879
Interquartile range (IQR)43

Descriptive statistics

Standard deviation438.32217
Coefficient of variation (CV)5.6109759
Kurtosis212.99962
Mean78.118705
Median Absolute Deviation (MAD)16
Skewness14.039625
Sum21717
Variance192126.33
MonotonicityNot monotonic
2024-04-21T09:28:29.554909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 22
 
7.3%
2 15
 
5.0%
3 11
 
3.6%
4 10
 
3.3%
7 7
 
2.3%
20 7
 
2.3%
11 7
 
2.3%
13 6
 
2.0%
16 6
 
2.0%
Other values (94) 162
53.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 25
8.3%
2 15
5.0%
3 11
3.6%
4 10
 
3.3%
5 5
 
1.7%
6 4
 
1.3%
7 7
 
2.3%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
6879 1
0.3%
2247 1
0.3%
538 1
0.3%
508 1
0.3%
487 1
0.3%
471 1
0.3%
425 1
0.3%
404 1
0.3%
322 1
0.3%
316 1
0.3%

2019-02
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)33.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean68.356115
Minimum0
Maximum5889
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:29.973592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14.5
Q334
95-th percentile191.45
Maximum5889
Range5889
Interquartile range (IQR)31

Descriptive statistics

Standard deviation377.70228
Coefficient of variation (CV)5.5255082
Kurtosis207.55051
Mean68.356115
Median Absolute Deviation (MAD)13.5
Skewness13.814057
Sum19003
Variance142659.01
MonotonicityNot monotonic
2024-04-21T09:28:30.410093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 25
 
8.3%
3 14
 
4.6%
2 14
 
4.6%
9 9
 
3.0%
4 9
 
3.0%
5 8
 
2.6%
7 7
 
2.3%
10 7
 
2.3%
12 7
 
2.3%
Other values (84) 152
50.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 25
8.3%
1 26
8.6%
2 14
4.6%
3 14
4.6%
4 9
 
3.0%
5 8
 
2.6%
6 3
 
1.0%
7 7
 
2.3%
8 1
 
0.3%
9 9
 
3.0%
ValueCountFrequency (%)
5889 1
0.3%
1991 1
0.3%
655 1
0.3%
432 1
0.3%
419 1
0.3%
415 1
0.3%
360 1
0.3%
334 1
0.3%
326 1
0.3%
278 1
0.3%

2019-03
Real number (ℝ)

MISSING  ZEROS 

Distinct99
Distinct (%)35.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean78.089928
Minimum0
Maximum6823
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:31.060302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q342
95-th percentile232.05
Maximum6823
Range6823
Interquartile range (IQR)39

Descriptive statistics

Standard deviation437.69601
Coefficient of variation (CV)5.6050252
Kurtosis207.6385
Mean78.089928
Median Absolute Deviation (MAD)16
Skewness13.828986
Sum21709
Variance191577.8
MonotonicityNot monotonic
2024-04-21T09:28:31.496547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 19
 
6.3%
2 14
 
4.6%
5 11
 
3.6%
3 10
 
3.3%
7 9
 
3.0%
4 8
 
2.6%
18 7
 
2.3%
23 7
 
2.3%
8 7
 
2.3%
Other values (89) 157
52.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 29
9.6%
2 14
4.6%
3 10
 
3.3%
4 8
 
2.6%
5 11
 
3.6%
6 5
 
1.7%
7 9
 
3.0%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
6823 1
0.3%
2334 1
0.3%
660 1
0.3%
624 1
0.3%
524 1
0.3%
467 1
0.3%
416 1
0.3%
365 1
0.3%
348 1
0.3%
293 1
0.3%

2019-04
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)36.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean77.751799
Minimum0
Maximum6831
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:31.906743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median15
Q345
95-th percentile227.8
Maximum6831
Range6831
Interquartile range (IQR)41

Descriptive statistics

Standard deviation434.85692
Coefficient of variation (CV)5.5928857
Kurtosis213.71267
Mean77.751799
Median Absolute Deviation (MAD)14
Skewness14.065459
Sum21615
Variance189100.54
MonotonicityNot monotonic
2024-04-21T09:28:32.342549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 17
 
5.6%
2 17
 
5.6%
4 9
 
3.0%
10 8
 
2.6%
3 8
 
2.6%
5 7
 
2.3%
7 7
 
2.3%
8 6
 
2.0%
6 6
 
2.0%
Other values (92) 166
55.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 27
8.9%
2 17
5.6%
3 8
 
2.6%
4 9
 
3.0%
5 7
 
2.3%
6 6
 
2.0%
7 7
 
2.3%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
6831 1
0.3%
2214 1
0.3%
500 1
0.3%
497 1
0.3%
446 1
0.3%
444 1
0.3%
404 2
0.7%
398 1
0.3%
309 1
0.3%
283 1
0.3%

2019-05
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)34.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean72.154676
Minimum0
Maximum6267
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:32.751979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q344
95-th percentile205.35
Maximum6267
Range6267
Interquartile range (IQR)41

Descriptive statistics

Standard deviation399.08209
Coefficient of variation (CV)5.5309248
Kurtosis213.36357
Mean72.154676
Median Absolute Deviation (MAD)15
Skewness14.053157
Sum20059
Variance159266.51
MonotonicityNot monotonic
2024-04-21T09:28:33.178123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 33
 
10.9%
0 19
 
6.3%
2 12
 
4.0%
5 10
 
3.3%
10 8
 
2.6%
3 8
 
2.6%
19 8
 
2.6%
4 7
 
2.3%
6 7
 
2.3%
12 6
 
2.0%
Other values (87) 160
53.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 33
10.9%
2 12
 
4.0%
3 8
 
2.6%
4 7
 
2.3%
5 10
 
3.3%
6 7
 
2.3%
7 5
 
1.7%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
6267 1
0.3%
2042 1
0.3%
535 1
0.3%
405 1
0.3%
402 1
0.3%
381 1
0.3%
370 1
0.3%
367 1
0.3%
323 1
0.3%
282 1
0.3%

2019-06
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)33.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean69.388489
Minimum0
Maximum6108
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:33.583378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16.5
Q342.75
95-th percentile187.45
Maximum6108
Range6108
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation390.09736
Coefficient of variation (CV)5.6219319
Kurtosis211.109
Mean69.388489
Median Absolute Deviation (MAD)15.5
Skewness13.965913
Sum19290
Variance152175.95
MonotonicityNot monotonic
2024-04-21T09:28:33.940989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 31
 
10.3%
0 21
 
7.0%
2 13
 
4.3%
3 9
 
3.0%
8 9
 
3.0%
5 8
 
2.6%
4 8
 
2.6%
17 7
 
2.3%
7 7
 
2.3%
10 7
 
2.3%
Other values (84) 158
52.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 21
7.0%
1 31
10.3%
2 13
4.3%
3 9
 
3.0%
4 8
 
2.6%
5 8
 
2.6%
6 5
 
1.7%
7 7
 
2.3%
8 9
 
3.0%
9 3
 
1.0%
ValueCountFrequency (%)
6108 1
0.3%
2012 1
0.3%
744 1
0.3%
520 1
0.3%
409 1
0.3%
363 1
0.3%
336 1
0.3%
238 1
0.3%
237 2
0.7%
217 1
0.3%

2019-07
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)38.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean91.205036
Minimum0
Maximum7923
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:34.225049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21.5
Q354.5
95-th percentile233.7
Maximum7923
Range7923
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation506.02282
Coefficient of variation (CV)5.5481895
Kurtosis210.92045
Mean91.205036
Median Absolute Deviation (MAD)19.5
Skewness13.953704
Sum25355
Variance256059.09
MonotonicityNot monotonic
2024-04-21T09:28:34.510549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 18
 
6.0%
6 13
 
4.3%
3 11
 
3.6%
2 10
 
3.3%
23 8
 
2.6%
10 6
 
2.0%
4 6
 
2.0%
8 6
 
2.0%
25 6
 
2.0%
Other values (98) 164
54.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 30
9.9%
2 10
 
3.3%
3 11
 
3.6%
4 6
 
2.0%
5 4
 
1.3%
6 13
4.3%
7 5
 
1.7%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
7923 1
0.3%
2595 1
0.3%
1049 1
0.3%
620 1
0.3%
475 2
0.7%
391 1
0.3%
330 1
0.3%
300 2
0.7%
275 1
0.3%
263 1
0.3%

2019-08
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)38.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean92.755396
Minimum0
Maximum8070
Zeros16
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:34.807962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19.5
Q357
95-th percentile246.95
Maximum8070
Range8070
Interquartile range (IQR)54

Descriptive statistics

Standard deviation515.91012
Coefficient of variation (CV)5.5620497
Kurtosis210.22817
Mean92.755396
Median Absolute Deviation (MAD)18.5
Skewness13.930277
Sum25786
Variance266163.25
MonotonicityNot monotonic
2024-04-21T09:28:35.096133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34
 
11.3%
0 16
 
5.3%
2 15
 
5.0%
5 9
 
3.0%
3 9
 
3.0%
7 8
 
2.6%
31 6
 
2.0%
6 6
 
2.0%
20 5
 
1.7%
11 5
 
1.7%
Other values (98) 165
54.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 16
5.3%
1 34
11.3%
2 15
5.0%
3 9
 
3.0%
4 3
 
1.0%
5 9
 
3.0%
6 6
 
2.0%
7 8
 
2.6%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
8070 1
0.3%
2678 1
0.3%
1052 1
0.3%
544 1
0.3%
536 1
0.3%
427 1
0.3%
411 1
0.3%
395 1
0.3%
359 1
0.3%
315 1
0.3%

2019-09
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)37.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean88.52518
Minimum0
Maximum7740
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:35.442602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q350
95-th percentile252.6
Maximum7740
Range7740
Interquartile range (IQR)46

Descriptive statistics

Standard deviation490.95829
Coefficient of variation (CV)5.5459734
Kurtosis216.26755
Mean88.52518
Median Absolute Deviation (MAD)19
Skewness14.142855
Sum24610
Variance241040.04
MonotonicityNot monotonic
2024-04-21T09:28:35.905058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 25
 
8.3%
5 11
 
3.6%
2 10
 
3.3%
4 9
 
3.0%
6 7
 
2.3%
3 7
 
2.3%
8 7
 
2.3%
11 6
 
2.0%
26 6
 
2.0%
Other values (95) 163
54.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 25
8.3%
1 27
8.9%
2 10
 
3.3%
3 7
 
2.3%
4 9
 
3.0%
5 11
3.6%
6 7
 
2.3%
7 3
 
1.0%
8 7
 
2.3%
9 1
 
0.3%
ValueCountFrequency (%)
7740 1
0.3%
2337 1
0.3%
853 1
0.3%
727 1
0.3%
628 1
0.3%
549 1
0.3%
342 1
0.3%
293 2
0.7%
278 1
0.3%
275 1
0.3%

2019-10
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)38.5%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean100.26978
Minimum0
Maximum8748
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:36.337291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q364.75
95-th percentile225
Maximum8748
Range8748
Interquartile range (IQR)60.75

Descriptive statistics

Standard deviation562.94063
Coefficient of variation (CV)5.6142599
Kurtosis205.75
Mean100.26978
Median Absolute Deviation (MAD)22
Skewness13.799139
Sum27875
Variance316902.15
MonotonicityNot monotonic
2024-04-21T09:28:36.669382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 18
 
6.0%
2 14
 
4.6%
3 9
 
3.0%
24 8
 
2.6%
4 8
 
2.6%
9 7
 
2.3%
40 6
 
2.0%
7 6
 
2.0%
26 5
 
1.7%
Other values (97) 170
56.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 27
8.9%
2 14
4.6%
3 9
 
3.0%
4 8
 
2.6%
5 5
 
1.7%
6 2
 
0.7%
7 6
 
2.0%
8 5
 
1.7%
9 7
 
2.3%
ValueCountFrequency (%)
8748 1
0.3%
3181 1
0.3%
1037 1
0.3%
539 1
0.3%
528 1
0.3%
488 1
0.3%
451 1
0.3%
434 1
0.3%
318 1
0.3%
316 1
0.3%

2019-11
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)41.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean109.7518
Minimum0
Maximum9493
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:36.907535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median26
Q373
95-th percentile271.75
Maximum9493
Range9493
Interquartile range (IQR)69

Descriptive statistics

Standard deviation606.23151
Coefficient of variation (CV)5.523659
Kurtosis211.03453
Mean109.7518
Median Absolute Deviation (MAD)25
Skewness13.96453
Sum30511
Variance367516.64
MonotonicityNot monotonic
2024-04-21T09:28:37.148130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 17
 
5.6%
2 15
 
5.0%
3 7
 
2.3%
4 6
 
2.0%
7 6
 
2.0%
5 5
 
1.7%
11 5
 
1.7%
6 5
 
1.7%
46 4
 
1.3%
Other values (104) 179
59.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 29
9.6%
2 15
5.0%
3 7
 
2.3%
4 6
 
2.0%
5 5
 
1.7%
6 5
 
1.7%
7 6
 
2.0%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
9493 1
0.3%
3136 1
0.3%
1111 1
0.3%
927 1
0.3%
679 1
0.3%
510 1
0.3%
421 1
0.3%
403 2
0.7%
310 1
0.3%
288 2
0.7%

2019-12
Real number (ℝ)

MISSING  ZEROS 

Distinct133
Distinct (%)47.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean132.15468
Minimum0
Maximum11353
Zeros14
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:37.390277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q14
median33.5
Q390.75
95-th percentile336.35
Maximum11353
Range11353
Interquartile range (IQR)86.75

Descriptive statistics

Standard deviation715.4859
Coefficient of variation (CV)5.4140037
Kurtosis221.24714
Mean132.15468
Median Absolute Deviation (MAD)31.5
Skewness14.316977
Sum36739
Variance511920.07
MonotonicityNot monotonic
2024-04-21T09:28:37.633636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
2 15
 
5.0%
0 14
 
4.6%
4 8
 
2.6%
3 8
 
2.6%
6 6
 
2.0%
44 5
 
1.7%
13 5
 
1.7%
56 4
 
1.3%
17 4
 
1.3%
Other values (123) 183
60.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 14
4.6%
1 26
8.6%
2 15
5.0%
3 8
 
2.6%
4 8
 
2.6%
5 4
 
1.3%
6 6
 
2.0%
7 3
 
1.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
11353 1
0.3%
3071 1
0.3%
1355 1
0.3%
1320 1
0.3%
803 1
0.3%
650 1
0.3%
517 1
0.3%
516 1
0.3%
473 1
0.3%
455 1
0.3%

2020-01
Real number (ℝ)

MISSING  ZEROS 

Distinct128
Distinct (%)46.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean120.65827
Minimum0
Maximum10457
Zeros20
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:37.882265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median33
Q375.25
95-th percentile301.65
Maximum10457
Range10457
Interquartile range (IQR)71.25

Descriptive statistics

Standard deviation664.16571
Coefficient of variation (CV)5.5045186
Kurtosis214.69288
Mean120.65827
Median Absolute Deviation (MAD)31
Skewness14.046586
Sum33543
Variance441116.09
MonotonicityNot monotonic
2024-04-21T09:28:38.378717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 20
 
6.6%
2 16
 
5.3%
7 7
 
2.3%
16 6
 
2.0%
39 5
 
1.7%
21 5
 
1.7%
4 5
 
1.7%
8 5
 
1.7%
3 5
 
1.7%
Other values (118) 177
58.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 20
6.6%
1 27
8.9%
2 16
5.3%
3 5
 
1.7%
4 5
 
1.7%
5 4
 
1.3%
6 4
 
1.3%
7 7
 
2.3%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
10457 1
0.3%
2938 1
0.3%
1511 1
0.3%
1217 1
0.3%
942 1
0.3%
846 1
0.3%
671 1
0.3%
564 1
0.3%
328 1
0.3%
319 1
0.3%

2020-02
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)49.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean134.58993
Minimum0
Maximum11564
Zeros12
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:38.620467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median32.5
Q387.5
95-th percentile322.6
Maximum11564
Range11564
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation743.72086
Coefficient of variation (CV)5.5258285
Kurtosis205.84185
Mean134.58993
Median Absolute Deviation (MAD)30.5
Skewness13.783457
Sum37416
Variance553120.71
MonotonicityNot monotonic
2024-04-21T09:28:38.921725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
2 15
 
5.0%
0 12
 
4.0%
3 9
 
3.0%
7 7
 
2.3%
8 6
 
2.0%
5 6
 
2.0%
35 5
 
1.7%
10 5
 
1.7%
34 5
 
1.7%
Other values (127) 179
59.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 12
4.0%
1 29
9.6%
2 15
5.0%
3 9
 
3.0%
4 1
 
0.3%
5 6
 
2.0%
6 4
 
1.3%
7 7
 
2.3%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
11564 1
0.3%
4131 1
0.3%
1186 1
0.3%
1025 1
0.3%
749 1
0.3%
702 1
0.3%
681 1
0.3%
675 1
0.3%
488 1
0.3%
434 1
0.3%

2020-03
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)42.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean106.28777
Minimum0
Maximum9243
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:39.233805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27
Q367
95-th percentile254.6
Maximum9243
Range9243
Interquartile range (IQR)63

Descriptive statistics

Standard deviation595.87758
Coefficient of variation (CV)5.6062667
Kurtosis203.98195
Mean106.28777
Median Absolute Deviation (MAD)25
Skewness13.704791
Sum29548
Variance355070.09
MonotonicityNot monotonic
2024-04-21T09:28:39.476734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
2 18
 
6.0%
0 17
 
5.6%
3 8
 
2.6%
8 7
 
2.3%
9 5
 
1.7%
10 5
 
1.7%
6 5
 
1.7%
13 5
 
1.7%
39 4
 
1.3%
Other values (108) 180
59.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 17
5.6%
1 24
7.9%
2 18
6.0%
3 8
 
2.6%
4 4
 
1.3%
5 4
 
1.3%
6 5
 
1.7%
7 4
 
1.3%
8 7
 
2.3%
9 5
 
1.7%
ValueCountFrequency (%)
9243 1
0.3%
3296 1
0.3%
1189 1
0.3%
1027 1
0.3%
675 1
0.3%
486 1
0.3%
389 1
0.3%
369 1
0.3%
339 1
0.3%
338 1
0.3%

2020-04
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)34.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean69.55036
Minimum0
Maximum6041
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:39.713558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18
Q344.75
95-th percentile191.6
Maximum6041
Range6041
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation385.23742
Coefficient of variation (CV)5.538971
Kurtosis212.40592
Mean69.55036
Median Absolute Deviation (MAD)16
Skewness14.033183
Sum19335
Variance148407.87
MonotonicityNot monotonic
2024-04-21T09:28:39.958645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
7.3%
1 20
 
6.6%
2 16
 
5.3%
6 10
 
3.3%
17 9
 
3.0%
9 8
 
2.6%
4 8
 
2.6%
22 8
 
2.6%
8 6
 
2.0%
18 6
 
2.0%
Other values (87) 165
54.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 22
7.3%
1 20
6.6%
2 16
5.3%
3 5
 
1.7%
4 8
 
2.6%
5 5
 
1.7%
6 10
3.3%
7 5
 
1.7%
8 6
 
2.0%
9 8
 
2.6%
ValueCountFrequency (%)
6041 1
0.3%
2024 1
0.3%
502 1
0.3%
493 1
0.3%
450 1
0.3%
308 2
0.7%
287 2
0.7%
240 1
0.3%
235 1
0.3%
231 1
0.3%

2020-05
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)36.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean86.589928
Minimum0
Maximum7508
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:40.208446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21.5
Q352.75
95-th percentile252.6
Maximum7508
Range7508
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation472.83465
Coefficient of variation (CV)5.4606195
Kurtosis222.01753
Mean86.589928
Median Absolute Deviation (MAD)19.5
Skewness14.349816
Sum24072
Variance223572.6
MonotonicityNot monotonic
2024-04-21T09:28:40.464642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 18
 
6.0%
3 13
 
4.3%
2 11
 
3.6%
9 9
 
3.0%
23 7
 
2.3%
4 6
 
2.0%
19 6
 
2.0%
6 6
 
2.0%
12 6
 
2.0%
Other values (91) 171
56.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 25
8.3%
2 11
3.6%
3 13
4.3%
4 6
 
2.0%
5 5
 
1.7%
6 6
 
2.0%
7 4
 
1.3%
8 5
 
1.7%
9 9
 
3.0%
ValueCountFrequency (%)
7508 1
0.3%
2066 1
0.3%
670 1
0.3%
661 1
0.3%
516 1
0.3%
512 1
0.3%
455 1
0.3%
438 1
0.3%
422 1
0.3%
376 1
0.3%

2020-06
Real number (ℝ)

MISSING  ZEROS 

Distinct129
Distinct (%)46.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean139.70144
Minimum0
Maximum12120
Zeros14
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:40.740785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q15
median35
Q388.75
95-th percentile334.05
Maximum12120
Range12120
Interquartile range (IQR)83.75

Descriptive statistics

Standard deviation771.80904
Coefficient of variation (CV)5.5247036
Kurtosis213.36514
Mean139.70144
Median Absolute Deviation (MAD)33
Skewness14.058788
Sum38837
Variance595689.19
MonotonicityNot monotonic
2024-04-21T09:28:40.997414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 14
 
4.6%
4 10
 
3.3%
2 10
 
3.3%
5 7
 
2.3%
9 5
 
1.7%
34 4
 
1.3%
14 4
 
1.3%
3 4
 
1.3%
23 4
 
1.3%
Other values (119) 186
61.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 14
4.6%
1 30
9.9%
2 10
 
3.3%
3 4
 
1.3%
4 10
 
3.3%
5 7
 
2.3%
6 2
 
0.7%
7 3
 
1.0%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
12120 1
0.3%
3955 1
0.3%
1134 1
0.3%
1036 1
0.3%
985 1
0.3%
668 1
0.3%
624 1
0.3%
570 1
0.3%
485 1
0.3%
472 1
0.3%

2020-07
Real number (ℝ)

MISSING  ZEROS 

Distinct138
Distinct (%)49.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean149.08993
Minimum0
Maximum12994
Zeros15
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:41.249356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median38.5
Q398
95-th percentile377.2
Maximum12994
Range12994
Interquartile range (IQR)92.75

Descriptive statistics

Standard deviation825.11959
Coefficient of variation (CV)5.5343751
Kurtosis215.41578
Mean149.08993
Median Absolute Deviation (MAD)36.5
Skewness14.119238
Sum41447
Variance680822.33
MonotonicityNot monotonic
2024-04-21T09:28:41.504867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 15
 
5.0%
2 10
 
3.3%
3 10
 
3.3%
5 6
 
2.0%
15 5
 
1.7%
4 5
 
1.7%
37 4
 
1.3%
9 4
 
1.3%
16 4
 
1.3%
Other values (128) 191
63.2%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 15
5.0%
1 24
7.9%
2 10
3.3%
3 10
3.3%
4 5
 
1.7%
5 6
 
2.0%
6 3
 
1.0%
7 2
 
0.7%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
12994 1
0.3%
3985 1
0.3%
1751 1
0.3%
1041 1
0.3%
874 1
0.3%
670 1
0.3%
658 2
0.7%
653 1
0.3%
482 1
0.3%
477 1
0.3%

2020-08
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)39.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean92.942446
Minimum0
Maximum8148
Zeros20
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:41.764468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median22
Q359
95-th percentile222.15
Maximum8148
Range8148
Interquartile range (IQR)55

Descriptive statistics

Standard deviation514.76185
Coefficient of variation (CV)5.5385012
Kurtosis219.53741
Mean92.942446
Median Absolute Deviation (MAD)20
Skewness14.263256
Sum25838
Variance264979.76
MonotonicityNot monotonic
2024-04-21T09:28:42.024848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 22
 
7.3%
0 20
 
6.6%
3 14
 
4.6%
2 12
 
4.0%
18 10
 
3.3%
10 7
 
2.3%
4 7
 
2.3%
6 6
 
2.0%
38 5
 
1.7%
34 4
 
1.3%
Other values (101) 171
56.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 20
6.6%
1 22
7.3%
2 12
4.0%
3 14
4.6%
4 7
 
2.3%
5 2
 
0.7%
6 6
 
2.0%
7 2
 
0.7%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
8148 1
0.3%
2339 1
0.3%
861 1
0.3%
665 1
0.3%
660 1
0.3%
600 1
0.3%
567 1
0.3%
436 1
0.3%
379 1
0.3%
302 1
0.3%

2020-09
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)39.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean97.284173
Minimum0
Maximum8548
Zeros15
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:42.289567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21.5
Q359
95-th percentile241.6
Maximum8548
Range8548
Interquartile range (IQR)55

Descriptive statistics

Standard deviation539.62362
Coefficient of variation (CV)5.5468799
Kurtosis220.03742
Mean97.284173
Median Absolute Deviation (MAD)20.5
Skewness14.26896
Sum27045
Variance291193.65
MonotonicityNot monotonic
2024-04-21T09:28:42.530005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 15
 
5.0%
3 11
 
3.6%
2 10
 
3.3%
17 7
 
2.3%
4 7
 
2.3%
20 6
 
2.0%
12 6
 
2.0%
6 6
 
2.0%
54 5
 
1.7%
Other values (101) 177
58.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 15
5.0%
1 28
9.3%
2 10
 
3.3%
3 11
 
3.6%
4 7
 
2.3%
5 4
 
1.3%
6 6
 
2.0%
7 5
 
1.7%
8 4
 
1.3%
9 1
 
0.3%
ValueCountFrequency (%)
8548 1
0.3%
2352 1
0.3%
961 1
0.3%
894 1
0.3%
731 1
0.3%
636 1
0.3%
508 1
0.3%
501 1
0.3%
349 1
0.3%
319 1
0.3%

2020-10
Real number (ℝ)

MISSING  ZEROS 

Distinct106
Distinct (%)38.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean97.255396
Minimum0
Maximum8532
Zeros16
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:42.772116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median22.5
Q355.5
95-th percentile249
Maximum8532
Range8532
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation544.79103
Coefficient of variation (CV)5.6016535
Kurtosis211.23207
Mean97.255396
Median Absolute Deviation (MAD)20.5
Skewness13.967918
Sum27037
Variance296797.27
MonotonicityNot monotonic
2024-04-21T09:28:43.011596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 16
 
5.3%
3 12
 
4.0%
2 12
 
4.0%
24 7
 
2.3%
10 6
 
2.0%
8 6
 
2.0%
9 6
 
2.0%
11 5
 
1.7%
17 5
 
1.7%
Other values (96) 177
58.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 16
5.3%
1 26
8.6%
2 12
4.0%
3 12
4.0%
4 4
 
1.3%
5 3
 
1.0%
6 4
 
1.3%
7 4
 
1.3%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
8532 1
0.3%
2804 1
0.3%
892 1
0.3%
836 1
0.3%
651 1
0.3%
505 1
0.3%
465 1
0.3%
382 1
0.3%
374 1
0.3%
350 1
0.3%

2020-11
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)42.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean118.58633
Minimum0
Maximum10330
Zeros15
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:43.257330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median26
Q382
95-th percentile330.25
Maximum10330
Range10330
Interquartile range (IQR)77

Descriptive statistics

Standard deviation648.25476
Coefficient of variation (CV)5.4665218
Kurtosis224.85055
Mean118.58633
Median Absolute Deviation (MAD)24
Skewness14.43885
Sum32967
Variance420234.24
MonotonicityNot monotonic
2024-04-21T09:28:43.507288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 15
 
5.0%
3 12
 
4.0%
2 9
 
3.0%
4 7
 
2.3%
6 7
 
2.3%
9 6
 
2.0%
34 6
 
2.0%
21 6
 
2.0%
18 5
 
1.7%
Other values (108) 180
59.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 15
5.0%
1 25
8.3%
2 9
 
3.0%
3 12
4.0%
4 7
 
2.3%
5 4
 
1.3%
6 7
 
2.3%
7 2
 
0.7%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
10330 1
0.3%
2486 1
0.3%
1482 1
0.3%
895 1
0.3%
736 1
0.3%
715 1
0.3%
708 1
0.3%
500 1
0.3%
489 1
0.3%
469 1
0.3%

2020-12
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)47.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean148.27338
Minimum0
Maximum12893
Zeros12
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:43.751407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16.25
median37.5
Q3108
95-th percentile369.05
Maximum12893
Range12893
Interquartile range (IQR)101.75

Descriptive statistics

Standard deviation814.62991
Coefficient of variation (CV)5.4941076
Kurtosis219.51336
Mean148.27338
Median Absolute Deviation (MAD)35.5
Skewness14.276016
Sum41220
Variance663621.89
MonotonicityNot monotonic
2024-04-21T09:28:44.008806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 12
 
4.0%
2 12
 
4.0%
4 8
 
2.6%
51 6
 
2.0%
9 5
 
1.7%
3 5
 
1.7%
52 5
 
1.7%
36 5
 
1.7%
30 4
 
1.3%
Other values (121) 189
62.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 12
4.0%
1 27
8.9%
2 12
4.0%
3 5
 
1.7%
4 8
 
2.6%
5 4
 
1.3%
6 2
 
0.7%
7 2
 
0.7%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
12893 1
0.3%
3815 1
0.3%
1109 1
0.3%
1102 1
0.3%
983 1
0.3%
853 1
0.3%
777 1
0.3%
728 1
0.3%
587 1
0.3%
559 1
0.3%

2021-01
Real number (ℝ)

MISSING  ZEROS 

Distinct113
Distinct (%)40.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean96.528777
Minimum0
Maximum8385
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:44.512707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median24.5
Q361.75
95-th percentile263.25
Maximum8385
Range8385
Interquartile range (IQR)56.75

Descriptive statistics

Standard deviation533.10212
Coefficient of variation (CV)5.5227274
Kurtosis214.48743
Mean96.528777
Median Absolute Deviation (MAD)22.5
Skewness14.089192
Sum26835
Variance284197.87
MonotonicityNot monotonic
2024-04-21T09:28:44.751540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 21
 
7.0%
0 19
 
6.3%
3 13
 
4.3%
2 9
 
3.0%
15 8
 
2.6%
6 8
 
2.6%
5 7
 
2.3%
18 6
 
2.0%
31 6
 
2.0%
23 5
 
1.7%
Other values (103) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 21
7.0%
2 9
3.0%
3 13
4.3%
4 4
 
1.3%
5 7
 
2.3%
6 8
 
2.6%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
8385 1
0.3%
2638 1
0.3%
1058 1
0.3%
606 1
0.3%
518 1
0.3%
460 1
0.3%
418 2
0.7%
400 1
0.3%
357 1
0.3%
355 1
0.3%

2021-02
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)36.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean90.586331
Minimum0
Maximum7849
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:44.991151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median22
Q353
95-th percentile276.95
Maximum7849
Range7849
Interquartile range (IQR)48

Descriptive statistics

Standard deviation497.57748
Coefficient of variation (CV)5.4928539
Kurtosis216.74328
Mean90.586331
Median Absolute Deviation (MAD)19
Skewness14.164958
Sum25183
Variance247583.35
MonotonicityNot monotonic
2024-04-21T09:28:45.251507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 20
 
6.6%
0 18
 
6.0%
3 12
 
4.0%
5 9
 
3.0%
2 9
 
3.0%
6 8
 
2.6%
15 7
 
2.3%
13 7
 
2.3%
42 6
 
2.0%
4 6
 
2.0%
Other values (92) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 18
6.0%
1 20
6.6%
2 9
3.0%
3 12
4.0%
4 6
 
2.0%
5 9
3.0%
6 8
 
2.6%
7 4
 
1.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
7849 1
0.3%
2394 1
0.3%
696 1
0.3%
612 1
0.3%
592 1
0.3%
452 1
0.3%
432 1
0.3%
422 1
0.3%
420 1
0.3%
396 1
0.3%

2021-03
Real number (ℝ)

MISSING  ZEROS 

Distinct109
Distinct (%)39.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean83.805755
Minimum0
Maximum7321
Zeros11
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:45.507304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median24
Q349.75
95-th percentile225.9
Maximum7321
Range7321
Interquartile range (IQR)43.75

Descriptive statistics

Standard deviation462.72253
Coefficient of variation (CV)5.5213694
Kurtosis219.33385
Mean83.805755
Median Absolute Deviation (MAD)20
Skewness14.275526
Sum23298
Variance214112.14
MonotonicityNot monotonic
2024-04-21T09:28:45.757613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 22
 
7.3%
2 12
 
4.0%
0 11
 
3.6%
4 8
 
2.6%
3 8
 
2.6%
17 8
 
2.6%
6 7
 
2.3%
22 6
 
2.0%
41 6
 
2.0%
13 6
 
2.0%
Other values (99) 184
60.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 11
3.6%
1 22
7.3%
2 12
4.0%
3 8
 
2.6%
4 8
 
2.6%
5 3
 
1.0%
6 7
 
2.3%
7 5
 
1.7%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
7321 1
0.3%
2188 1
0.3%
750 1
0.3%
520 1
0.3%
509 1
0.3%
447 1
0.3%
412 1
0.3%
408 1
0.3%
377 1
0.3%
329 1
0.3%

2021-04
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)39.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean92.517986
Minimum0
Maximum8046
Zeros12
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:46.014497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median22
Q360.75
95-th percentile231.65
Maximum8046
Range8046
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation507.22017
Coefficient of variation (CV)5.4823953
Kurtosis221.21277
Mean92.517986
Median Absolute Deviation (MAD)20
Skewness14.323836
Sum25720
Variance257272.3
MonotonicityNot monotonic
2024-04-21T09:28:46.273938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 12
 
4.0%
2 12
 
4.0%
14 9
 
3.0%
3 9
 
3.0%
6 8
 
2.6%
21 7
 
2.3%
20 6
 
2.0%
8 6
 
2.0%
5 6
 
2.0%
Other values (101) 179
59.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 12
4.0%
1 24
7.9%
2 12
4.0%
3 9
 
3.0%
4 4
 
1.3%
5 6
 
2.0%
6 8
 
2.6%
7 5
 
1.7%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
8046 1
0.3%
2231 1
0.3%
918 1
0.3%
769 1
0.3%
612 1
0.3%
504 1
0.3%
463 1
0.3%
421 1
0.3%
381 1
0.3%
306 1
0.3%

2021-05
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)39.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean91.352518
Minimum0
Maximum7947
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:46.536183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median24
Q356.5
95-th percentile234.05
Maximum7947
Range7947
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation499.83692
Coefficient of variation (CV)5.4715177
Kurtosis223.18621
Mean91.352518
Median Absolute Deviation (MAD)21
Skewness14.402981
Sum25396
Variance249836.94
MonotonicityNot monotonic
2024-04-21T09:28:46.796604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 20
 
6.6%
0 19
 
6.3%
3 11
 
3.6%
4 9
 
3.0%
8 8
 
2.6%
20 7
 
2.3%
2 6
 
2.0%
5 5
 
1.7%
36 5
 
1.7%
7 5
 
1.7%
Other values (101) 183
60.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 19
6.3%
1 20
6.6%
2 6
 
2.0%
3 11
3.6%
4 9
3.0%
5 5
 
1.7%
6 5
 
1.7%
7 5
 
1.7%
8 8
 
2.6%
9 1
 
0.3%
ValueCountFrequency (%)
7947 1
0.3%
2171 1
0.3%
761 1
0.3%
674 1
0.3%
643 1
0.3%
550 1
0.3%
483 1
0.3%
475 1
0.3%
352 1
0.3%
327 1
0.3%

2021-06
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)37.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean86.935484
Minimum0
Maximum7561
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:47.054056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21
Q346.5
95-th percentile265.5
Maximum7561
Range7561
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation474.70632
Coefficient of variation (CV)5.4604437
Kurtosis223.85341
Mean86.935484
Median Absolute Deviation (MAD)19
Skewness14.407038
Sum24255
Variance225346.09
MonotonicityNot monotonic
2024-04-21T09:28:47.305690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 18
 
6.0%
4 16
 
5.3%
2 11
 
3.6%
23 7
 
2.3%
12 6
 
2.0%
16 6
 
2.0%
13 6
 
2.0%
11 5
 
1.7%
25 5
 
1.7%
Other values (94) 175
57.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 18
6.0%
1 24
7.9%
2 11
3.6%
3 5
 
1.7%
4 16
5.3%
5 4
 
1.3%
6 4
 
1.3%
7 2
 
0.7%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
7561 1
0.3%
2008 1
0.3%
722 1
0.3%
669 1
0.3%
585 1
0.3%
515 1
0.3%
463 1
0.3%
420 1
0.3%
410 1
0.3%
334 1
0.3%

2021-07
Real number (ℝ)

MISSING  ZEROS 

Distinct106
Distinct (%)38.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean85.913978
Minimum0
Maximum7509
Zeros16
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:47.556156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21
Q349
95-th percentile250.3
Maximum7509
Range7509
Interquartile range (IQR)45

Descriptive statistics

Standard deviation473.1697
Coefficient of variation (CV)5.5074821
Kurtosis220.96116
Mean85.913978
Median Absolute Deviation (MAD)19
Skewness14.312305
Sum23970
Variance223889.56
MonotonicityNot monotonic
2024-04-21T09:28:47.808455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 16
 
5.3%
3 15
 
5.0%
4 8
 
2.6%
2 8
 
2.6%
14 8
 
2.6%
11 6
 
2.0%
24 6
 
2.0%
16 5
 
1.7%
15 5
 
1.7%
Other values (96) 175
57.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 16
5.3%
1 27
8.9%
2 8
 
2.6%
3 15
5.0%
4 8
 
2.6%
5 5
 
1.7%
6 4
 
1.3%
7 5
 
1.7%
8 2
 
0.7%
9 4
 
1.3%
ValueCountFrequency (%)
7509 1
0.3%
2149 1
0.3%
708 1
0.3%
631 1
0.3%
559 1
0.3%
495 1
0.3%
482 1
0.3%
404 1
0.3%
384 1
0.3%
323 1
0.3%

2021-08
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)36.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean81.530466
Minimum0
Maximum7077
Zeros15
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:48.062622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18
Q351
95-th percentile257.6
Maximum7077
Range7077
Interquartile range (IQR)47

Descriptive statistics

Standard deviation444.96459
Coefficient of variation (CV)5.4576481
Kurtosis222.62146
Mean81.530466
Median Absolute Deviation (MAD)17
Skewness14.36236
Sum22747
Variance197993.49
MonotonicityNot monotonic
2024-04-21T09:28:48.315099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 15
 
5.0%
3 14
 
4.6%
14 8
 
2.6%
2 8
 
2.6%
13 6
 
2.0%
9 6
 
2.0%
11 6
 
2.0%
8 6
 
2.0%
4 6
 
2.0%
Other values (93) 176
58.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 15
5.0%
1 28
9.3%
2 8
 
2.6%
3 14
4.6%
4 6
 
2.0%
5 5
 
1.7%
6 6
 
2.0%
7 3
 
1.0%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
7077 1
0.3%
1924 1
0.3%
724 1
0.3%
570 1
0.3%
535 1
0.3%
505 1
0.3%
466 1
0.3%
417 1
0.3%
317 1
0.3%
287 1
0.3%

2021-09
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)36.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean75.0681
Minimum0
Maximum6474
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:48.576738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18
Q345.5
95-th percentile222.2
Maximum6474
Range6474
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation407.57839
Coefficient of variation (CV)5.4294485
Kurtosis221.59106
Mean75.0681
Median Absolute Deviation (MAD)16
Skewness14.336155
Sum20944
Variance166120.14
MonotonicityNot monotonic
2024-04-21T09:28:48.822175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 19
 
6.3%
2 17
 
5.6%
4 10
 
3.3%
13 9
 
3.0%
7 8
 
2.6%
6 8
 
2.6%
5 6
 
2.0%
33 6
 
2.0%
8 5
 
1.7%
Other values (93) 165
54.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 19
6.3%
1 26
8.6%
2 17
5.6%
3 3
 
1.0%
4 10
 
3.3%
5 6
 
2.0%
6 8
 
2.6%
7 8
 
2.6%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
6474 1
0.3%
1836 1
0.3%
684 1
0.3%
515 1
0.3%
400 1
0.3%
361 1
0.3%
357 1
0.3%
355 1
0.3%
344 1
0.3%
312 1
0.3%

2021-10
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)33.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean70.021505
Minimum0
Maximum6149
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:49.067022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median16
Q339
95-th percentile209.3
Maximum6149
Range6149
Interquartile range (IQR)35

Descriptive statistics

Standard deviation383.3522
Coefficient of variation (CV)5.474778
Kurtosis229.97232
Mean70.021505
Median Absolute Deviation (MAD)14
Skewness14.632913
Sum19536
Variance146958.91
MonotonicityNot monotonic
2024-04-21T09:28:49.315792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
0 17
 
5.6%
2 15
 
5.0%
8 10
 
3.3%
3 9
 
3.0%
4 9
 
3.0%
5 9
 
3.0%
11 8
 
2.6%
10 8
 
2.6%
9 6
 
2.0%
Other values (84) 164
54.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 17
5.6%
1 24
7.9%
2 15
5.0%
3 9
 
3.0%
4 9
 
3.0%
5 9
 
3.0%
6 4
 
1.3%
7 6
 
2.0%
8 10
3.3%
9 6
 
2.0%
ValueCountFrequency (%)
6149 1
0.3%
1413 1
0.3%
618 1
0.3%
578 1
0.3%
470 1
0.3%
454 1
0.3%
371 1
0.3%
352 1
0.3%
278 1
0.3%
265 1
0.3%

2021-11
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)33.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean64.096774
Minimum0
Maximum5638
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:49.556146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q340.5
95-th percentile172.6
Maximum5638
Range5638
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation351.83277
Coefficient of variation (CV)5.489087
Kurtosis229.19461
Mean64.096774
Median Absolute Deviation (MAD)13
Skewness14.611178
Sum17883
Variance123786.3
MonotonicityNot monotonic
2024-04-21T09:28:50.040010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 18
 
6.0%
4 15
 
5.0%
2 14
 
4.6%
7 12
 
4.0%
3 11
 
3.6%
8 8
 
2.6%
25 7
 
2.3%
11 6
 
2.0%
10 6
 
2.0%
Other values (84) 156
51.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 18
6.0%
1 26
8.6%
2 14
4.6%
3 11
3.6%
4 15
5.0%
5 5
 
1.7%
6 5
 
1.7%
7 12
4.0%
8 8
 
2.6%
9 5
 
1.7%
ValueCountFrequency (%)
5638 1
0.3%
1347 1
0.3%
623 1
0.3%
459 1
0.3%
443 1
0.3%
373 1
0.3%
320 1
0.3%
303 1
0.3%
279 1
0.3%
255 1
0.3%

2021-12
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)30.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean55.426523
Minimum0
Maximum4905
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:50.285138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q330
95-th percentile158.2
Maximum4905
Range4905
Interquartile range (IQR)27

Descriptive statistics

Standard deviation307.59774
Coefficient of variation (CV)5.5496488
Kurtosis224.99222
Mean55.426523
Median Absolute Deviation (MAD)11
Skewness14.450875
Sum15464
Variance94616.368
MonotonicityNot monotonic
2024-04-21T09:28:50.536530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 23
 
7.6%
2 21
 
7.0%
0 21
 
7.0%
9 11
 
3.6%
4 10
 
3.3%
3 10
 
3.3%
5 10
 
3.3%
19 9
 
3.0%
13 8
 
2.6%
8 6
 
2.0%
Other values (74) 150
49.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 21
7.0%
1 23
7.6%
2 21
7.0%
3 10
3.3%
4 10
3.3%
5 10
3.3%
6 6
 
2.0%
7 5
 
1.7%
8 6
 
2.0%
9 11
3.6%
ValueCountFrequency (%)
4905 1
0.3%
1267 1
0.3%
576 1
0.3%
354 1
0.3%
333 1
0.3%
317 1
0.3%
315 1
0.3%
294 1
0.3%
289 1
0.3%
225 1
0.3%

2022-01
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)29.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean52.695341
Minimum0
Maximum4654
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:50.786172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q329.5
95-th percentile174
Maximum4654
Range4654
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation291.55924
Coefficient of variation (CV)5.5329225
Kurtosis225.6247
Mean52.695341
Median Absolute Deviation (MAD)9
Skewness14.446977
Sum14702
Variance85006.788
MonotonicityNot monotonic
2024-04-21T09:28:51.036271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 25
 
8.3%
2 16
 
5.3%
3 14
 
4.6%
4 12
 
4.0%
5 10
 
3.3%
6 10
 
3.3%
18 9
 
3.0%
7 9
 
3.0%
15 8
 
2.6%
Other values (72) 139
46.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 25
8.3%
1 27
8.9%
2 16
5.3%
3 14
4.6%
4 12
4.0%
5 10
 
3.3%
6 10
 
3.3%
7 9
 
3.0%
8 7
 
2.3%
9 8
 
2.6%
ValueCountFrequency (%)
4654 1
0.3%
1090 1
0.3%
564 1
0.3%
439 1
0.3%
383 1
0.3%
376 1
0.3%
281 1
0.3%
264 1
0.3%
236 1
0.3%
230 1
0.3%

2022-02
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)30.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean51.071685
Minimum0
Maximum4550
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:51.274111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q327
95-th percentile171.2
Maximum4550
Range4550
Interquartile range (IQR)24

Descriptive statistics

Standard deviation283.51629
Coefficient of variation (CV)5.55134
Kurtosis230.42102
Mean51.071685
Median Absolute Deviation (MAD)8
Skewness14.628148
Sum14249
Variance80381.484
MonotonicityNot monotonic
2024-04-21T09:28:51.514562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 21
 
7.0%
3 19
 
6.3%
6 16
 
5.3%
2 15
 
5.0%
4 15
 
5.0%
9 13
 
4.3%
10 10
 
3.3%
5 10
 
3.3%
8 7
 
2.3%
Other values (74) 126
41.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 21
7.0%
1 27
8.9%
2 15
5.0%
3 19
6.3%
4 15
5.0%
5 10
 
3.3%
6 16
5.3%
7 3
 
1.0%
8 7
 
2.3%
9 13
4.3%
ValueCountFrequency (%)
4550 1
0.3%
931 1
0.3%
495 1
0.3%
467 1
0.3%
423 1
0.3%
358 1
0.3%
288 1
0.3%
262 1
0.3%
222 1
0.3%
221 1
0.3%

2022-03
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)30.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean51.02509
Minimum0
Maximum4433
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:51.756925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q326.5
95-th percentile185
Maximum4433
Range4433
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation274.7358
Coefficient of variation (CV)5.3843276
Kurtosis235.01525
Mean51.02509
Median Absolute Deviation (MAD)9
Skewness14.793933
Sum14236
Variance75479.758
MonotonicityNot monotonic
2024-04-21T09:28:51.996130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
2 18
 
6.0%
0 18
 
6.0%
3 14
 
4.6%
8 13
 
4.3%
4 11
 
3.6%
6 9
 
3.0%
11 9
 
3.0%
16 8
 
2.6%
5 8
 
2.6%
Other values (74) 142
47.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 18
6.0%
1 29
9.6%
2 18
6.0%
3 14
4.6%
4 11
 
3.6%
5 8
 
2.6%
6 9
 
3.0%
7 6
 
2.0%
8 13
4.3%
9 8
 
2.6%
ValueCountFrequency (%)
4433 1
0.3%
703 1
0.3%
440 1
0.3%
427 1
0.3%
408 1
0.3%
368 1
0.3%
359 1
0.3%
285 1
0.3%
248 1
0.3%
241 1
0.3%

2022-04
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean63.62724
Minimum0
Maximum5421
Zeros18
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:52.245788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q334
95-th percentile224.9
Maximum5421
Range5421
Interquartile range (IQR)31

Descriptive statistics

Standard deviation344.16644
Coefficient of variation (CV)5.4091052
Kurtosis214.42865
Mean63.62724
Median Absolute Deviation (MAD)11
Skewness14.040132
Sum17752
Variance118450.54
MonotonicityNot monotonic
2024-04-21T09:28:52.521397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 18
 
6.0%
3 15
 
5.0%
2 14
 
4.6%
4 11
 
3.6%
8 11
 
3.6%
5 9
 
3.0%
7 8
 
2.6%
20 7
 
2.3%
22 6
 
2.0%
Other values (75) 154
51.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 18
6.0%
1 26
8.6%
2 14
4.6%
3 15
5.0%
4 11
3.6%
5 9
 
3.0%
6 6
 
2.0%
7 8
 
2.6%
8 11
3.6%
9 5
 
1.7%
ValueCountFrequency (%)
5421 1
0.3%
1643 1
0.3%
448 1
0.3%
433 1
0.3%
424 1
0.3%
406 1
0.3%
359 1
0.3%
343 1
0.3%
298 1
0.3%
296 1
0.3%

2022-05
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)29.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean51.46595
Minimum0
Maximum4458
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:52.786544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median12
Q330
95-th percentile160
Maximum4458
Range4458
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation279.81363
Coefficient of variation (CV)5.436869
Kurtosis224.1595
Mean51.46595
Median Absolute Deviation (MAD)10
Skewness14.431228
Sum14359
Variance78295.667
MonotonicityNot monotonic
2024-04-21T09:28:53.052340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 17
 
5.6%
2 16
 
5.3%
3 11
 
3.6%
4 10
 
3.3%
8 10
 
3.3%
5 10
 
3.3%
9 9
 
3.0%
6 9
 
3.0%
7 8
 
2.6%
Other values (72) 153
50.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 17
5.6%
1 26
8.6%
2 16
5.3%
3 11
3.6%
4 10
 
3.3%
5 10
 
3.3%
6 9
 
3.0%
7 8
 
2.6%
8 10
 
3.3%
9 9
 
3.0%
ValueCountFrequency (%)
4458 1
0.3%
1215 1
0.3%
429 1
0.3%
325 1
0.3%
300 1
0.3%
295 1
0.3%
261 1
0.3%
242 1
0.3%
199 1
0.3%
194 1
0.3%

2022-06
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)27.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean49.935484
Minimum0
Maximum4368
Zeros19
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:53.310822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q325.5
95-th percentile184.1
Maximum4368
Range4368
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation273.83566
Coefficient of variation (CV)5.483789
Kurtosis224.90502
Mean49.935484
Median Absolute Deviation (MAD)9
Skewness14.41643
Sum13932
Variance74985.967
MonotonicityNot monotonic
2024-04-21T09:28:53.551106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 31
 
10.3%
0 19
 
6.3%
3 17
 
5.6%
4 16
 
5.3%
2 14
 
4.6%
7 12
 
4.0%
5 11
 
3.6%
9 9
 
3.0%
20 8
 
2.6%
13 8
 
2.6%
Other values (66) 134
44.4%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 19
6.3%
1 31
10.3%
2 14
4.6%
3 17
5.6%
4 16
5.3%
5 11
 
3.6%
6 8
 
2.6%
7 12
 
4.0%
8 2
 
0.7%
9 9
 
3.0%
ValueCountFrequency (%)
4368 1
0.3%
1033 1
0.3%
566 1
0.3%
392 1
0.3%
285 2
0.7%
258 1
0.3%
257 1
0.3%
238 1
0.3%
229 1
0.3%
228 1
0.3%

2022-07
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)24.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean33.727599
Minimum0
Maximum2939
Zeros23
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:53.785102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q319
95-th percentile118.2
Maximum2939
Range2939
Interquartile range (IQR)17

Descriptive statistics

Standard deviation183.08681
Coefficient of variation (CV)5.4283976
Kurtosis230.44876
Mean33.727599
Median Absolute Deviation (MAD)6
Skewness14.633319
Sum9410
Variance33520.782
MonotonicityNot monotonic
2024-04-21T09:28:54.031640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 23
 
7.6%
2 22
 
7.3%
3 18
 
6.0%
4 18
 
6.0%
6 13
 
4.3%
8 10
 
3.3%
5 10
 
3.3%
10 9
 
3.0%
13 8
 
2.6%
Other values (57) 119
39.4%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 23
7.6%
1 29
9.6%
2 22
7.3%
3 18
6.0%
4 18
6.0%
5 10
 
3.3%
6 13
4.3%
7 7
 
2.3%
8 10
 
3.3%
9 4
 
1.3%
ValueCountFrequency (%)
2939 1
0.3%
616 1
0.3%
330 1
0.3%
304 1
0.3%
231 1
0.3%
189 1
0.3%
188 1
0.3%
173 1
0.3%
151 1
0.3%
146 1
0.3%

2022-08
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)25.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean43.308244
Minimum0
Maximum3766
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:54.287907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q319
95-th percentile130.9
Maximum3766
Range3766
Interquartile range (IQR)17

Descriptive statistics

Standard deviation238.78064
Coefficient of variation (CV)5.5135147
Kurtosis215.41505
Mean43.308244
Median Absolute Deviation (MAD)6
Skewness14.053336
Sum12083
Variance57016.192
MonotonicityNot monotonic
2024-04-21T09:28:54.537068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 28
 
9.3%
1 26
 
8.6%
0 26
 
8.6%
4 20
 
6.6%
3 15
 
5.0%
6 14
 
4.6%
7 11
 
3.6%
10 9
 
3.0%
11 8
 
2.6%
14 8
 
2.6%
Other values (61) 114
37.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 26
8.6%
1 26
8.6%
2 28
9.3%
3 15
5.0%
4 20
6.6%
5 7
 
2.3%
6 14
4.6%
7 11
 
3.6%
8 7
 
2.3%
9 6
 
2.0%
ValueCountFrequency (%)
3766 1
0.3%
1069 1
0.3%
367 1
0.3%
350 1
0.3%
327 1
0.3%
312 1
0.3%
299 1
0.3%
250 1
0.3%
231 1
0.3%
175 1
0.3%

2022-09
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)22.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean30.329749
Minimum0
Maximum2672
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:54.792859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q316
95-th percentile117
Maximum2672
Range2672
Interquartile range (IQR)14

Descriptive statistics

Standard deviation166.2979
Coefficient of variation (CV)5.4829962
Kurtosis231.33884
Mean30.329749
Median Absolute Deviation (MAD)5
Skewness14.656912
Sum8462
Variance27654.992
MonotonicityNot monotonic
2024-04-21T09:28:55.042683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34
 
11.3%
0 27
 
8.9%
3 25
 
8.3%
2 22
 
7.3%
6 15
 
5.0%
5 13
 
4.3%
4 12
 
4.0%
13 10
 
3.3%
7 9
 
3.0%
8 8
 
2.6%
Other values (52) 104
34.4%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 27
8.9%
1 34
11.3%
2 22
7.3%
3 25
8.3%
4 12
 
4.0%
5 13
 
4.3%
6 15
5.0%
7 9
 
3.0%
8 8
 
2.6%
9 7
 
2.3%
ValueCountFrequency (%)
2672 1
0.3%
517 1
0.3%
292 1
0.3%
281 1
0.3%
227 1
0.3%
164 1
0.3%
163 2
0.7%
156 1
0.3%
152 1
0.3%
147 1
0.3%

2022-10
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)23.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean32.74552
Minimum0
Maximum2840
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:55.276614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q317
95-th percentile122
Maximum2840
Range2840
Interquartile range (IQR)15

Descriptive statistics

Standard deviation177.39864
Coefficient of variation (CV)5.4174934
Kurtosis228.03305
Mean32.74552
Median Absolute Deviation (MAD)6
Skewness14.539481
Sum9136
Variance31470.277
MonotonicityNot monotonic
2024-04-21T09:28:55.511737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
9.6%
0 26
 
8.6%
2 26
 
8.6%
4 16
 
5.3%
3 14
 
4.6%
5 13
 
4.3%
6 13
 
4.3%
9 11
 
3.6%
17 9
 
3.0%
8 9
 
3.0%
Other values (55) 113
37.4%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 26
8.6%
1 29
9.6%
2 26
8.6%
3 14
4.6%
4 16
5.3%
5 13
4.3%
6 13
4.3%
7 8
 
2.6%
8 9
 
3.0%
9 11
 
3.6%
ValueCountFrequency (%)
2840 1
0.3%
651 1
0.3%
277 1
0.3%
213 1
0.3%
200 2
0.7%
197 1
0.3%
163 1
0.3%
159 1
0.3%
156 1
0.3%
151 1
0.3%

2022-11
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)24.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean30.455197
Minimum0
Maximum2688
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:56.007802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q317.5
95-th percentile106.1
Maximum2688
Range2688
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation167.30646
Coefficient of variation (CV)5.4935273
Kurtosis231.48052
Mean30.455197
Median Absolute Deviation (MAD)5
Skewness14.690651
Sum8497
Variance27991.45
MonotonicityNot monotonic
2024-04-21T09:28:56.257378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 29
 
9.6%
2 27
 
8.9%
5 17
 
5.6%
4 15
 
5.0%
3 14
 
4.6%
8 14
 
4.6%
9 10
 
3.3%
6 9
 
3.0%
13 9
 
3.0%
Other values (57) 106
35.1%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 29
9.6%
1 29
9.6%
2 27
8.9%
3 14
4.6%
4 15
5.0%
5 17
5.6%
6 9
 
3.0%
7 5
 
1.7%
8 14
4.6%
9 10
 
3.3%
ValueCountFrequency (%)
2688 1
0.3%
597 1
0.3%
284 1
0.3%
245 1
0.3%
182 1
0.3%
176 1
0.3%
140 1
0.3%
139 1
0.3%
134 1
0.3%
130 1
0.3%

2022-12
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)25.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean43.032258
Minimum0
Maximum3851
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:56.502530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q321
95-th percentile142.5
Maximum3851
Range3851
Interquartile range (IQR)19

Descriptive statistics

Standard deviation247.16114
Coefficient of variation (CV)5.7436247
Kurtosis206.90572
Mean43.032258
Median Absolute Deviation (MAD)7
Skewness13.799484
Sum12006
Variance61088.628
MonotonicityNot monotonic
2024-04-21T09:28:56.766642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 28
 
9.3%
2 18
 
6.0%
4 15
 
5.0%
3 14
 
4.6%
7 10
 
3.3%
5 9
 
3.0%
10 9
 
3.0%
8 8
 
2.6%
12 8
 
2.6%
Other values (61) 127
42.1%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 33
10.9%
1 28
9.3%
2 18
6.0%
3 14
4.6%
4 15
5.0%
5 9
 
3.0%
6 5
 
1.7%
7 10
 
3.3%
8 8
 
2.6%
9 6
 
2.0%
ValueCountFrequency (%)
3851 1
0.3%
1343 1
0.3%
354 1
0.3%
340 1
0.3%
261 1
0.3%
249 1
0.3%
222 1
0.3%
198 1
0.3%
190 1
0.3%
189 1
0.3%

2023-01
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)24.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean32.035842
Minimum0
Maximum2836
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:57.016191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q316
95-th percentile101.3
Maximum2836
Range2836
Interquartile range (IQR)14

Descriptive statistics

Standard deviation177.39489
Coefficient of variation (CV)5.5373882
Kurtosis227.08975
Mean32.035842
Median Absolute Deviation (MAD)6
Skewness14.514462
Sum8938
Variance31468.948
MonotonicityNot monotonic
2024-04-21T09:28:57.272582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 35
 
11.6%
0 33
 
10.9%
3 17
 
5.6%
4 17
 
5.6%
2 15
 
5.0%
6 12
 
4.0%
10 11
 
3.6%
12 11
 
3.6%
5 10
 
3.3%
9 10
 
3.3%
Other values (57) 108
35.8%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 33
10.9%
1 35
11.6%
2 15
5.0%
3 17
5.6%
4 17
5.6%
5 10
 
3.3%
6 12
 
4.0%
7 5
 
1.7%
8 6
 
2.0%
9 10
 
3.3%
ValueCountFrequency (%)
2836 1
0.3%
680 1
0.3%
287 1
0.3%
219 1
0.3%
214 1
0.3%
211 1
0.3%
192 1
0.3%
191 1
0.3%
158 1
0.3%
140 1
0.3%

2023-02
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean53.526882
Minimum0
Maximum4621
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:57.549285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median10
Q328.5
95-th percentile178.4
Maximum4621
Range4621
Interquartile range (IQR)26

Descriptive statistics

Standard deviation291.80285
Coefficient of variation (CV)5.4515197
Kurtosis218.64864
Mean53.526882
Median Absolute Deviation (MAD)9
Skewness14.179896
Sum14934
Variance85148.905
MonotonicityNot monotonic
2024-04-21T09:28:57.803129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 25
 
8.3%
2 15
 
5.0%
8 11
 
3.6%
10 11
 
3.6%
5 10
 
3.3%
3 9
 
3.0%
4 9
 
3.0%
7 8
 
2.6%
9 8
 
2.6%
Other values (75) 143
47.4%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 25
8.3%
1 30
9.9%
2 15
5.0%
3 9
 
3.0%
4 9
 
3.0%
5 10
 
3.3%
6 5
 
1.7%
7 8
 
2.6%
8 11
 
3.6%
9 8
 
2.6%
ValueCountFrequency (%)
4621 1
0.3%
1228 1
0.3%
604 1
0.3%
522 1
0.3%
361 1
0.3%
294 1
0.3%
288 1
0.3%
237 1
0.3%
233 1
0.3%
207 1
0.3%

2023-03
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50.003584
Minimum0
Maximum4357
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:58.045530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q331.5
95-th percentile140
Maximum4357
Range4357
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation273.4242
Coefficient of variation (CV)5.4680921
Kurtosis224.46067
Mean50.003584
Median Absolute Deviation (MAD)12
Skewness14.45379
Sum13951
Variance74760.795
MonotonicityNot monotonic
2024-04-21T09:28:58.285009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 24
 
7.9%
2 11
 
3.6%
3 10
 
3.3%
4 9
 
3.0%
7 9
 
3.0%
6 8
 
2.6%
8 8
 
2.6%
10 8
 
2.6%
26 7
 
2.3%
Other values (75) 157
52.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 24
7.9%
1 28
9.3%
2 11
 
3.6%
3 10
 
3.3%
4 9
 
3.0%
5 7
 
2.3%
6 8
 
2.6%
7 9
 
3.0%
8 8
 
2.6%
9 5
 
1.7%
ValueCountFrequency (%)
4357 1
0.3%
1206 1
0.3%
410 1
0.3%
298 1
0.3%
297 1
0.3%
284 1
0.3%
253 1
0.3%
236 1
0.3%
226 1
0.3%
211 1
0.3%

2023-04
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)28.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean49.684588
Minimum0
Maximum4344
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:58.528952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q330
95-th percentile139.5
Maximum4344
Range4344
Interquartile range (IQR)28

Descriptive statistics

Standard deviation273.42763
Coefficient of variation (CV)5.5032686
Kurtosis221.95616
Mean49.684588
Median Absolute Deviation (MAD)12
Skewness14.357403
Sum13862
Variance74762.67
MonotonicityNot monotonic
2024-04-21T09:28:58.773202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 24
 
7.9%
2 20
 
6.6%
6 9
 
3.0%
5 9
 
3.0%
11 9
 
3.0%
9 8
 
2.6%
18 7
 
2.3%
12 7
 
2.3%
8 6
 
2.0%
Other values (70) 153
50.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 24
7.9%
1 27
8.9%
2 20
6.6%
3 6
 
2.0%
4 5
 
1.7%
5 9
 
3.0%
6 9
 
3.0%
7 5
 
1.7%
8 6
 
2.0%
9 8
 
2.6%
ValueCountFrequency (%)
4344 1
0.3%
1243 1
0.3%
352 1
0.3%
341 1
0.3%
335 1
0.3%
315 1
0.3%
287 1
0.3%
279 1
0.3%
183 1
0.3%
157 1
0.3%

2023-05
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)32.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean59.921147
Minimum0
Maximum5246
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:59.013864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q336
95-th percentile154.3
Maximum5246
Range5246
Interquartile range (IQR)33

Descriptive statistics

Standard deviation331.05312
Coefficient of variation (CV)5.5248128
Kurtosis219.22674
Mean59.921147
Median Absolute Deviation (MAD)13
Skewness14.202242
Sum16718
Variance109596.17
MonotonicityNot monotonic
2024-04-21T09:28:59.264698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 24
 
7.9%
3 12
 
4.0%
2 11
 
3.6%
5 9
 
3.0%
7 9
 
3.0%
8 9
 
3.0%
11 9
 
3.0%
6 7
 
2.3%
27 7
 
2.3%
Other values (80) 156
51.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 24
7.9%
1 26
8.6%
2 11
3.6%
3 12
4.0%
4 4
 
1.3%
5 9
 
3.0%
6 7
 
2.3%
7 9
 
3.0%
8 9
 
3.0%
9 4
 
1.3%
ValueCountFrequency (%)
5246 1
0.3%
1277 1
0.3%
960 1
0.3%
581 1
0.3%
327 1
0.3%
325 1
0.3%
292 1
0.3%
286 1
0.3%
277 1
0.3%
249 1
0.3%

2023-06
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)31.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean62.462366
Minimum0
Maximum5393
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:28:59.509113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q339
95-th percentile198.9
Maximum5393
Range5393
Interquartile range (IQR)36

Descriptive statistics

Standard deviation342.41614
Coefficient of variation (CV)5.4819592
Kurtosis214.81086
Mean62.462366
Median Absolute Deviation (MAD)13
Skewness14.088597
Sum17427
Variance117248.81
MonotonicityNot monotonic
2024-04-21T09:28:59.759265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
0 25
 
8.3%
2 16
 
5.3%
3 10
 
3.3%
5 9
 
3.0%
20 8
 
2.6%
6 7
 
2.3%
8 7
 
2.3%
12 7
 
2.3%
17 7
 
2.3%
Other values (79) 157
52.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 25
8.3%
1 26
8.6%
2 16
5.3%
3 10
 
3.3%
4 3
 
1.0%
5 9
 
3.0%
6 7
 
2.3%
7 6
 
2.0%
8 7
 
2.3%
9 5
 
1.7%
ValueCountFrequency (%)
5393 1
0.3%
1706 1
0.3%
454 1
0.3%
448 1
0.3%
377 1
0.3%
357 1
0.3%
306 1
0.3%
276 2
0.7%
270 1
0.3%
242 1
0.3%

2023-07
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)31.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean55.74552
Minimum0
Maximum4917
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:29:00.005230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q334
95-th percentile157.1
Maximum4917
Range4917
Interquartile range (IQR)31

Descriptive statistics

Standard deviation307.8921
Coefficient of variation (CV)5.523172
Kurtosis226.33888
Mean55.74552
Median Absolute Deviation (MAD)13
Skewness14.514496
Sum15553
Variance94797.543
MonotonicityNot monotonic
2024-04-21T09:29:00.253666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 24
 
7.9%
3 11
 
3.6%
6 10
 
3.3%
2 9
 
3.0%
14 9
 
3.0%
4 8
 
2.6%
23 8
 
2.6%
21 7
 
2.3%
11 7
 
2.3%
Other values (77) 157
52.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 29
9.6%
1 24
7.9%
2 9
 
3.0%
3 11
 
3.6%
4 8
 
2.6%
5 4
 
1.3%
6 10
 
3.3%
7 6
 
2.0%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
4917 1
0.3%
1281 1
0.3%
508 1
0.3%
388 1
0.3%
380 1
0.3%
317 1
0.3%
310 1
0.3%
295 1
0.3%
220 1
0.3%
215 1
0.3%

2023-08
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)31.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean58.81362
Minimum0
Maximum5180
Zeros21
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:29:00.501469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median16
Q336
95-th percentile180.5
Maximum5180
Range5180
Interquartile range (IQR)32

Descriptive statistics

Standard deviation326.35319
Coefficient of variation (CV)5.548939
Kurtosis221.20655
Mean58.81362
Median Absolute Deviation (MAD)13
Skewness14.325016
Sum16409
Variance106506.4
MonotonicityNot monotonic
2024-04-21T09:29:00.780083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
8.3%
0 21
 
7.0%
3 12
 
4.0%
4 11
 
3.6%
2 11
 
3.6%
18 9
 
3.0%
10 8
 
2.6%
5 8
 
2.6%
19 7
 
2.3%
7 7
 
2.3%
Other values (77) 160
53.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 21
7.0%
1 25
8.3%
2 11
3.6%
3 12
4.0%
4 11
3.6%
5 8
 
2.6%
6 6
 
2.0%
7 7
 
2.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
5180 1
0.3%
1484 1
0.3%
518 1
0.3%
405 1
0.3%
385 1
0.3%
329 1
0.3%
319 1
0.3%
267 1
0.3%
242 1
0.3%
235 1
0.3%

2023-09
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)30.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean53.971326
Minimum0
Maximum4742
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:29:01.074311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q334
95-th percentile147.6
Maximum4742
Range4742
Interquartile range (IQR)30

Descriptive statistics

Standard deviation297.658
Coefficient of variation (CV)5.5151138
Kurtosis224.24315
Mean53.971326
Median Absolute Deviation (MAD)12
Skewness14.436138
Sum15058
Variance88600.287
MonotonicityNot monotonic
2024-04-21T09:29:01.568705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
0 22
 
7.3%
16 12
 
4.0%
4 11
 
3.6%
2 11
 
3.6%
15 11
 
3.6%
12 10
 
3.3%
3 9
 
3.0%
5 9
 
3.0%
6 8
 
2.6%
Other values (74) 149
49.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 22
7.3%
1 27
8.9%
2 11
3.6%
3 9
 
3.0%
4 11
3.6%
5 9
 
3.0%
6 8
 
2.6%
7 3
 
1.0%
8 5
 
1.7%
9 8
 
2.6%
ValueCountFrequency (%)
4742 1
0.3%
1288 1
0.3%
472 1
0.3%
372 1
0.3%
325 1
0.3%
292 1
0.3%
275 1
0.3%
274 1
0.3%
253 1
0.3%
251 1
0.3%

2023-10
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)29.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean49.164875
Minimum0
Maximum4335
Zeros25
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:29:01.806990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q330
95-th percentile142.7
Maximum4335
Range4335
Interquartile range (IQR)27

Descriptive statistics

Standard deviation270.62871
Coefficient of variation (CV)5.5045135
Kurtosis228.96267
Mean49.164875
Median Absolute Deviation (MAD)12
Skewness14.613911
Sum13717
Variance73239.901
MonotonicityNot monotonic
2024-04-21T09:29:02.047972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
8.3%
1 21
 
7.0%
2 15
 
5.0%
5 14
 
4.6%
3 10
 
3.3%
11 9
 
3.0%
4 9
 
3.0%
16 9
 
3.0%
19 9
 
3.0%
10 8
 
2.6%
Other values (71) 150
49.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 25
8.3%
1 21
7.0%
2 15
5.0%
3 10
 
3.3%
4 9
 
3.0%
5 14
4.6%
6 2
 
0.7%
7 6
 
2.0%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
4335 1
0.3%
1080 1
0.3%
440 1
0.3%
292 1
0.3%
279 1
0.3%
277 1
0.3%
273 1
0.3%
269 1
0.3%
249 1
0.3%
233 1
0.3%

2023-11
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)29.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean51.046595
Minimum0
Maximum4483
Zeros20
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:29:02.291798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q328
95-th percentile183.2
Maximum4483
Range4483
Interquartile range (IQR)25

Descriptive statistics

Standard deviation278.36251
Coefficient of variation (CV)5.4531063
Kurtosis233.52028
Mean51.046595
Median Absolute Deviation (MAD)11
Skewness14.759004
Sum14242
Variance77485.685
MonotonicityNot monotonic
2024-04-21T09:29:02.531026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
0 20
 
6.6%
3 15
 
5.0%
4 11
 
3.6%
13 10
 
3.3%
5 10
 
3.3%
2 10
 
3.3%
8 9
 
3.0%
17 8
 
2.6%
23 7
 
2.3%
Other values (72) 151
50.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 20
6.6%
1 28
9.3%
2 10
 
3.3%
3 15
5.0%
4 11
 
3.6%
5 10
 
3.3%
6 4
 
1.3%
7 6
 
2.0%
8 9
 
3.0%
9 7
 
2.3%
ValueCountFrequency (%)
4483 1
0.3%
900 1
0.3%
466 1
0.3%
419 1
0.3%
349 1
0.3%
272 2
0.7%
265 1
0.3%
231 1
0.3%
224 1
0.3%
221 1
0.3%

2023-12
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)27.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean44.81362
Minimum0
Maximum3981
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:29:02.771651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q324
95-th percentile132.4
Maximum3981
Range3981
Interquartile range (IQR)21

Descriptive statistics

Standard deviation248.96085
Coefficient of variation (CV)5.5554729
Kurtosis227.4868
Mean44.81362
Median Absolute Deviation (MAD)9
Skewness14.551623
Sum12503
Variance61981.505
MonotonicityNot monotonic
2024-04-21T09:29:03.033017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 30
 
9.9%
0 22
 
7.3%
2 17
 
5.6%
12 14
 
4.6%
6 13
 
4.3%
3 13
 
4.3%
5 10
 
3.3%
15 9
 
3.0%
13 9
 
3.0%
9 8
 
2.6%
Other values (67) 134
44.4%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 22
7.3%
1 30
9.9%
2 17
5.6%
3 13
4.3%
4 5
 
1.7%
5 10
 
3.3%
6 13
4.3%
7 6
 
2.0%
8 7
 
2.3%
9 8
 
2.6%
ValueCountFrequency (%)
3981 1
0.3%
1007 1
0.3%
391 1
0.3%
315 1
0.3%
268 1
0.3%
255 1
0.3%
249 1
0.3%
217 1
0.3%
204 1
0.3%
191 1
0.3%

2024-01
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)30.5%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean55.666667
Minimum0
Maximum4901
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T09:29:03.297529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12.5
Q331
95-th percentile160.6
Maximum4901
Range4901
Interquartile range (IQR)28

Descriptive statistics

Standard deviation307.48946
Coefficient of variation (CV)5.5237627
Kurtosis222.4943
Mean55.666667
Median Absolute Deviation (MAD)10.5
Skewness14.350573
Sum15698
Variance94549.767
MonotonicityNot monotonic
2024-04-21T09:29:03.550184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
8.9%
2 18
 
6.0%
6 18
 
6.0%
0 17
 
5.6%
3 14
 
4.6%
10 8
 
2.6%
14 7
 
2.3%
16 7
 
2.3%
12 7
 
2.3%
11 6
 
2.0%
Other values (76) 153
50.7%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 17
5.6%
1 27
8.9%
2 18
6.0%
3 14
4.6%
4 5
 
1.7%
5 5
 
1.7%
6 18
6.0%
7 5
 
1.7%
8 6
 
2.0%
9 5
 
1.7%
ValueCountFrequency (%)
4901 1
0.3%
1405 1
0.3%
465 1
0.3%
391 1
0.3%
346 1
0.3%
324 1
0.3%
292 1
0.3%
290 1
0.3%
283 1
0.3%
264 1
0.3%

Sample

지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국5872632379386700671560495084426874158050109968145580646664995486557704301577358745807624759755440556351466216672858055776602745104361472537863926342245515777573552285987655059736737644157546150450149597971535944034648450042284220519562458324598958877297639056835462544555315130539456218092307141174743460446664503422846173531516155757909308637674764587967839725425239714151681665627607580075636873702257845877647765067105107307309769767806437869891438231812587587253670178497822733358325023629764416849731976187941750188568486754056095523690469738093911398231125294727463883887511039586981046576617754790481957717845395097393627968795889682368316267610879238070774087489493113531045711564924360417508121201299481488548853210330128938385784973218046794775617509707764746149563849054654455044335421445843682939376626722840268838512836462143574344524653934917518047424335448339814901
1서울6861080139111871284916680658122017122153136471068355053247550256952849363081958654351777699974871961038936936725736534851662880181287689782889175148849944855560846232231029733832541356575465859573855148745440347447546743861723033239841536832030022922844050372221932150762570294731335042974471875065376492385259555172487895412508757016227541183123212101116120710968601040981867586576787846101611471438130910701284110010686025977479431134146814391768119465288213471429118115767499136379929441317126155143048732646744453574410491052853103711111355121711861027450661113417518618946517089831058612520918674463631466400278303289236222231233325257304175101118120198287604410341960448508405472440419391391
2서울 종로구3668654510142013166786444345121615261098195447944465117475553444333213354465534343461236434224672346610473645467645535676889961111812161176512681188781010710253930221412844698111246569105434653466571017166845814654695556544543222622221110111122332343222
3서울 중구1319142211766111523198567666857665461110883222224232410161117131182016242312101213151321814229108446688171234625301475645788367717356121110911910866781213116142117201818202018171612101311162116191927191466815171721212520991518291212978111484334568897101317141010451119142481110865684116442223102242121411111334655563533
4서울 용산구4329403635231418313132221057121621213142425731241215161113106549161319252120181916201510131110131314269715118177101422198877910123610989645107134141617161955813121312263230171112121923161511122533332525211619171714121413303217629263328201014272637486659108192722695867131415181926262021555121219202117162334403414144228402214111824141218852110121097452788135222215133566710168846
5서울 성동구14274546674228243254744217101018121011128111112111422253425179754551218253740413131301816111920131268698151717222818151212211721152171212141210979121324121722232438791629252219273957352124273754533633315367144905340314539321921354352646157445448412727313051757781733536455049503319121625434214106958832233636264259353125121231119282010193418194414191214141310751533358712422272324141516151516162715713
6서울 광진구112731434136192644435128101439282846421512151214131318161813116588814161514211923202029221379161174665692013162215119787881356131221141053711132681110194591111141115191812911101519191614162023211816151315181613712141817232121292417919161621332930219162222232714977820212516535104827173126232527161398915311546830138979611575532462354812124244578667471746
7서울 동대문구1810372363628212140528651251926232042372535263223151628563222151469319151320271819201825211214101828191077891315182124311919273717141519201115152614111761317152141316214148211519273525212634332724232648894930273050524139402929393528182147354541445146574726191927273342475530304747364748273222424961361312134533124885624415836464445523613193263651915142622181642121417141210811541010939924833201046711167029252574108205955
8서울 중랑구1127323338271920384477472615222920236348192119191515287336181175432457131414171719231510820261791487879151251833191511121212131114491311131413791417178611191923810132425214731497018184946243523182019333836293730222725191416332022252523263025511215191829374536271336571003446202125183927291387578159663521233633212934151628412228138171911151415141412138555331483222223451229579147777166
9서울 성북구4253705372105623786107105828042272217222430233865332223337037755520137920253130403542363538432319151620251924193337262835303345352532193229362229926212119221914132119277132624324514162447393226374040322428323748433230396467586257524650403223213038435347595359553735384636456063904030374954589852393036621324560131617325339245893441589010158516017214683343724183334412518242223242713981848792032312105414847121815113161515261312
지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
292경남 거창군232221423334223452122222234423643441732332232434323542224344322232252252513422285243612342433333121513642343242333445333434456281310278644434533434443791023138332324222434433334444633333323443334345151665432353322861123212223354410356
293경남 합천군1021100301211100001001011111010000000101100001011082112001110010111300010101120111110110131001100013342111111112111101101001110111000111110110011100001010101111111101110111011111010110012110000101101101100000110000011
294(구)제주857480171812<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
295(구)제주 (구)제주시826976151410<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
296(구)제주 (구)서귀포시342221<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
297(구)제주 (구)북제주군011010<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298(구)제주 (구)남제주군001020<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
299제주<NA><NA><NA><NA><NA><NA>10112327663244261814581415128191621382116141213283014161518292715191213121616151830363023291620121515273514375545327191514191519516965462124352423261832316935384634314527282354395967513230232331355252336574504132274139506571625551494672425745383431465658554643344030364032474842433832244839332429293241312022211725291926293327262317162336242228427948373635715535343439303425273231442419372322181915162826222017211717221722
300제주 제주시<NA><NA><NA><NA><NA><NA>910212464293719141256121210615131832171312912141112131215232313151011101214121625302519261417101313243213969474621151311131115485361421820311717181228276431314228203417221742264750382724202127323944294247342722223328191624243938332629161921231820282626343128182823253226393932282921163632172023232227231315161220151421242922191810121625181719305131252323614324222531201416142425371814342012121512122212171513151312171317
301제주 서귀포시<NA><NA><NA><NA><NA><NA>1132237742323224346433221419333364342233233465322323233477664236443164433375854354746111110651212111813663343138423271515105710324948381614162043253824151612193032221516161271086899159108127165661014867556144555576757116591228171213121012111288102110138676543106434614564644645