Overview

Dataset statistics

Number of variables218
Number of observations302
Missing cells8478
Missing cells (%)12.9%
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 건축물 거래현황의 월별 신탁 신탁해지(동(호)수) 데이터입니다.- (단위 : 동(호)수)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068082/fileData.do

Alerts

2006-01 has 214 (70.9%) missing valuesMissing
2006-02 has 164 (54.3%) missing valuesMissing
2006-03 has 143 (47.4%) missing valuesMissing
2006-04 has 126 (41.7%) missing valuesMissing
2006-05 has 118 (39.1%) missing valuesMissing
2006-06 has 108 (35.8%) missing valuesMissing
2006-07 has 99 (32.8%) missing valuesMissing
2006-08 has 95 (31.5%) missing valuesMissing
2006-09 has 89 (29.5%) missing valuesMissing
2006-10 has 81 (26.8%) missing valuesMissing
2006-11 has 80 (26.5%) missing valuesMissing
2006-12 has 75 (24.8%) missing valuesMissing
2007-01 has 75 (24.8%) missing valuesMissing
2007-02 has 72 (23.8%) missing valuesMissing
2007-03 has 69 (22.8%) missing valuesMissing
2007-04 has 66 (21.9%) missing valuesMissing
2007-05 has 64 (21.2%) missing valuesMissing
2007-06 has 63 (20.9%) missing valuesMissing
2007-07 has 59 (19.5%) missing valuesMissing
2007-08 has 55 (18.2%) missing valuesMissing
2007-09 has 53 (17.5%) missing valuesMissing
2007-10 has 52 (17.2%) missing valuesMissing
2007-11 has 47 (15.6%) missing valuesMissing
2007-12 has 45 (14.9%) missing valuesMissing
2008-01 has 45 (14.9%) missing valuesMissing
2008-02 has 45 (14.9%) missing valuesMissing
2008-03 has 45 (14.9%) missing valuesMissing
2008-04 has 45 (14.9%) missing valuesMissing
2008-05 has 44 (14.6%) missing valuesMissing
2008-06 has 40 (13.2%) missing valuesMissing
2008-07 has 38 (12.6%) missing valuesMissing
2008-08 has 38 (12.6%) missing valuesMissing
2008-09 has 37 (12.3%) missing valuesMissing
2008-10 has 37 (12.3%) missing valuesMissing
2008-11 has 37 (12.3%) missing valuesMissing
2008-12 has 37 (12.3%) missing valuesMissing
2009-01 has 37 (12.3%) missing valuesMissing
2009-02 has 37 (12.3%) missing valuesMissing
2009-03 has 35 (11.6%) missing valuesMissing
2009-04 has 33 (10.9%) missing valuesMissing
2009-05 has 33 (10.9%) missing valuesMissing
2009-06 has 33 (10.9%) missing valuesMissing
2009-07 has 32 (10.6%) missing valuesMissing
2009-08 has 32 (10.6%) missing valuesMissing
2009-09 has 32 (10.6%) missing valuesMissing
2009-10 has 31 (10.3%) missing valuesMissing
2009-11 has 31 (10.3%) missing valuesMissing
2009-12 has 31 (10.3%) missing valuesMissing
2010-01 has 107 (35.4%) missing valuesMissing
2010-02 has 97 (32.1%) missing valuesMissing
2010-03 has 83 (27.5%) missing valuesMissing
2010-04 has 79 (26.2%) missing valuesMissing
2010-05 has 73 (24.2%) missing valuesMissing
2010-06 has 70 (23.2%) missing valuesMissing
2010-07 has 67 (22.2%) missing valuesMissing
2010-08 has 62 (20.5%) missing valuesMissing
2010-09 has 59 (19.5%) missing valuesMissing
2010-10 has 57 (18.9%) missing valuesMissing
2010-11 has 52 (17.2%) missing valuesMissing
2010-12 has 50 (16.6%) missing valuesMissing
2011-01 has 49 (16.2%) missing valuesMissing
2011-02 has 47 (15.6%) missing valuesMissing
2011-03 has 47 (15.6%) missing valuesMissing
2011-04 has 46 (15.2%) missing valuesMissing
2011-05 has 46 (15.2%) missing valuesMissing
2011-06 has 45 (14.9%) missing valuesMissing
2011-07 has 44 (14.6%) missing valuesMissing
2011-08 has 41 (13.6%) missing valuesMissing
2011-09 has 41 (13.6%) missing valuesMissing
2011-10 has 41 (13.6%) missing valuesMissing
2011-11 has 41 (13.6%) missing valuesMissing
2011-12 has 40 (13.2%) missing valuesMissing
2012-01 has 39 (12.9%) missing valuesMissing
2012-02 has 39 (12.9%) missing valuesMissing
2012-03 has 38 (12.6%) missing valuesMissing
2012-04 has 37 (12.3%) missing valuesMissing
2012-05 has 29 (9.6%) missing valuesMissing
2012-06 has 28 (9.3%) missing valuesMissing
2012-07 has 27 (8.9%) missing valuesMissing
2012-08 has 27 (8.9%) missing valuesMissing
2012-09 has 27 (8.9%) missing valuesMissing
2012-10 has 27 (8.9%) missing valuesMissing
2012-11 has 27 (8.9%) missing valuesMissing
2012-12 has 27 (8.9%) missing valuesMissing
2013-01 has 26 (8.6%) missing valuesMissing
2013-02 has 25 (8.3%) missing valuesMissing
2013-03 has 25 (8.3%) missing valuesMissing
2013-04 has 25 (8.3%) missing valuesMissing
2013-05 has 25 (8.3%) missing valuesMissing
2013-06 has 25 (8.3%) missing valuesMissing
2013-07 has 24 (7.9%) missing valuesMissing
2013-08 has 24 (7.9%) missing valuesMissing
2013-09 has 24 (7.9%) 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 131 (43.4%) missing valuesMissing
2014-02 has 102 (33.8%) missing valuesMissing
2014-03 has 85 (28.1%) missing valuesMissing
2014-04 has 73 (24.2%) missing valuesMissing
2014-05 has 68 (22.5%) missing valuesMissing
2014-06 has 59 (19.5%) missing valuesMissing
2014-07 has 56 (18.5%) missing valuesMissing
2014-08 has 52 (17.2%) missing valuesMissing
2014-09 has 47 (15.6%) missing valuesMissing
2014-10 has 45 (14.9%) missing valuesMissing
2014-11 has 39 (12.9%) missing valuesMissing
2014-12 has 38 (12.6%) missing valuesMissing
2015-01 has 36 (11.9%) missing valuesMissing
2015-02 has 36 (11.9%) missing valuesMissing
2015-03 has 34 (11.3%) missing valuesMissing
2015-04 has 33 (10.9%) missing valuesMissing
2015-05 has 31 (10.3%) missing valuesMissing
2015-06 has 30 (9.9%) missing valuesMissing
2015-07 has 25 (8.3%) missing valuesMissing
2015-08 has 25 (8.3%) missing valuesMissing
2015-09 has 25 (8.3%) missing valuesMissing
2015-10 has 25 (8.3%) missing valuesMissing
2015-11 has 25 (8.3%) missing valuesMissing
2015-12 has 25 (8.3%) missing valuesMissing
2016-01 has 25 (8.3%) missing valuesMissing
2016-02 has 25 (8.3%) missing valuesMissing
2016-03 has 25 (8.3%) missing valuesMissing
2016-04 has 25 (8.3%) missing valuesMissing
2016-05 has 25 (8.3%) missing valuesMissing
2016-06 has 25 (8.3%) missing valuesMissing
2016-07 has 27 (8.9%) missing valuesMissing
2016-08 has 27 (8.9%) missing valuesMissing
2016-09 has 26 (8.6%) missing valuesMissing
2016-10 has 25 (8.3%) missing valuesMissing
2016-11 has 25 (8.3%) missing valuesMissing
2016-12 has 25 (8.3%) missing valuesMissing
2017-01 has 25 (8.3%) missing valuesMissing
2017-02 has 25 (8.3%) missing valuesMissing
2017-03 has 25 (8.3%) 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 23 (7.6%) missing valuesMissing
2017-08 has 23 (7.6%) missing valuesMissing
2017-09 has 23 (7.6%) missing valuesMissing
2017-10 has 23 (7.6%) missing valuesMissing
2017-11 has 23 (7.6%) missing valuesMissing
2017-12 has 23 (7.6%) missing valuesMissing
2018-01 has 23 (7.6%) missing valuesMissing
2018-02 has 23 (7.6%) missing valuesMissing
2018-03 has 23 (7.6%) missing valuesMissing
2018-04 has 23 (7.6%) missing valuesMissing
2018-05 has 23 (7.6%) missing valuesMissing
2018-06 has 23 (7.6%) missing valuesMissing
2018-07 has 22 (7.3%) missing valuesMissing
2018-08 has 23 (7.6%) missing valuesMissing
2018-09 has 23 (7.6%) missing valuesMissing
2018-10 has 23 (7.6%) missing valuesMissing
2018-11 has 23 (7.6%) missing valuesMissing
2018-12 has 23 (7.6%) missing valuesMissing
2019-01 has 23 (7.6%) missing valuesMissing
2019-02 has 23 (7.6%) missing valuesMissing
2019-03 has 23 (7.6%) missing valuesMissing
2019-04 has 23 (7.6%) missing valuesMissing
2019-05 has 23 (7.6%) missing valuesMissing
2019-06 has 23 (7.6%) missing valuesMissing
2019-07 has 23 (7.6%) missing valuesMissing
2019-08 has 23 (7.6%) missing valuesMissing
2019-09 has 23 (7.6%) missing valuesMissing
2019-10 has 23 (7.6%) missing valuesMissing
2019-11 has 23 (7.6%) missing valuesMissing
2019-12 has 23 (7.6%) missing valuesMissing
2020-01 has 23 (7.6%) missing valuesMissing
2020-02 has 23 (7.6%) missing valuesMissing
2020-03 has 23 (7.6%) missing valuesMissing
2020-04 has 23 (7.6%) missing valuesMissing
2020-05 has 23 (7.6%) missing valuesMissing
2020-06 has 23 (7.6%) missing valuesMissing
2020-07 has 23 (7.6%) missing valuesMissing
2020-08 has 23 (7.6%) missing valuesMissing
2020-09 has 23 (7.6%) missing valuesMissing
2020-10 has 23 (7.6%) missing valuesMissing
2020-11 has 23 (7.6%) missing valuesMissing
2020-12 has 23 (7.6%) missing valuesMissing
2021-01 has 23 (7.6%) missing valuesMissing
2021-02 has 23 (7.6%) missing valuesMissing
2021-03 has 23 (7.6%) missing valuesMissing
2021-04 has 23 (7.6%) missing valuesMissing
2021-05 has 23 (7.6%) 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 30 (9.9%) missing valuesMissing
2023-07 has 27 (8.9%) missing valuesMissing
2023-08 has 24 (7.9%) missing valuesMissing
2023-09 has 24 (7.9%) missing valuesMissing
2023-10 has 24 (7.9%) missing valuesMissing
2023-11 has 24 (7.9%) missing valuesMissing
2023-12 has 24 (7.9%) missing valuesMissing
2024-01 has 24 (7.9%) missing valuesMissing
지역 has unique valuesUnique
2006-01 has 12 (4.0%) zerosZeros
2006-02 has 27 (8.9%) zerosZeros
2006-03 has 29 (9.6%) zerosZeros
2006-04 has 41 (13.6%) zerosZeros
2006-05 has 46 (15.2%) zerosZeros
2006-06 has 54 (17.9%) zerosZeros
2006-07 has 59 (19.5%) zerosZeros
2006-08 has 61 (20.2%) zerosZeros
2006-09 has 62 (20.5%) zerosZeros
2006-10 has 74 (24.5%) zerosZeros
2006-11 has 50 (16.6%) zerosZeros
2006-12 has 61 (20.2%) zerosZeros
2007-01 has 60 (19.9%) zerosZeros
2007-02 has 74 (24.5%) zerosZeros
2007-03 has 68 (22.5%) zerosZeros
2007-04 has 75 (24.8%) zerosZeros
2007-05 has 75 (24.8%) zerosZeros
2007-06 has 68 (22.5%) zerosZeros
2007-07 has 81 (26.8%) zerosZeros
2007-08 has 88 (29.1%) zerosZeros
2007-09 has 85 (28.1%) zerosZeros
2007-10 has 75 (24.8%) zerosZeros
2007-11 has 83 (27.5%) zerosZeros
2007-12 has 89 (29.5%) zerosZeros
2008-01 has 89 (29.5%) zerosZeros
2008-02 has 95 (31.5%) zerosZeros
2008-03 has 88 (29.1%) zerosZeros
2008-04 has 91 (30.1%) zerosZeros
2008-05 has 88 (29.1%) zerosZeros
2008-06 has 84 (27.8%) zerosZeros
2008-07 has 93 (30.8%) zerosZeros
2008-08 has 94 (31.1%) zerosZeros
2008-09 has 110 (36.4%) zerosZeros
2008-10 has 96 (31.8%) zerosZeros
2008-11 has 101 (33.4%) zerosZeros
2008-12 has 92 (30.5%) zerosZeros
2009-01 has 111 (36.8%) zerosZeros
2009-02 has 115 (38.1%) zerosZeros
2009-03 has 93 (30.8%) zerosZeros
2009-04 has 91 (30.1%) zerosZeros
2009-05 has 95 (31.5%) zerosZeros
2009-06 has 96 (31.8%) zerosZeros
2009-07 has 94 (31.1%) zerosZeros
2009-08 has 95 (31.5%) zerosZeros
2009-09 has 100 (33.1%) zerosZeros
2009-10 has 104 (34.4%) zerosZeros
2009-11 has 98 (32.5%) zerosZeros
2009-12 has 96 (31.8%) zerosZeros
2010-01 has 46 (15.2%) zerosZeros
2010-02 has 52 (17.2%) zerosZeros
2010-03 has 53 (17.5%) zerosZeros
2010-04 has 59 (19.5%) zerosZeros
2010-05 has 64 (21.2%) zerosZeros
2010-06 has 65 (21.5%) zerosZeros
2010-07 has 64 (21.2%) zerosZeros
2010-08 has 62 (20.5%) zerosZeros
2010-09 has 72 (23.8%) zerosZeros
2010-10 has 71 (23.5%) zerosZeros
2010-11 has 63 (20.9%) zerosZeros
2010-12 has 62 (20.5%) zerosZeros
2011-01 has 78 (25.8%) zerosZeros
2011-02 has 87 (28.8%) zerosZeros
2011-03 has 81 (26.8%) zerosZeros
2011-04 has 74 (24.5%) zerosZeros
2011-05 has 71 (23.5%) zerosZeros
2011-06 has 81 (26.8%) zerosZeros
2011-07 has 81 (26.8%) zerosZeros
2011-08 has 87 (28.8%) zerosZeros
2011-09 has 83 (27.5%) zerosZeros
2011-10 has 91 (30.1%) zerosZeros
2011-11 has 85 (28.1%) zerosZeros
2011-12 has 66 (21.9%) zerosZeros
2012-01 has 98 (32.5%) zerosZeros
2012-02 has 85 (28.1%) zerosZeros
2012-03 has 79 (26.2%) zerosZeros
2012-04 has 80 (26.5%) zerosZeros
2012-05 has 86 (28.5%) zerosZeros
2012-06 has 100 (33.1%) zerosZeros
2012-07 has 91 (30.1%) zerosZeros
2012-08 has 91 (30.1%) zerosZeros
2012-09 has 96 (31.8%) zerosZeros
2012-10 has 99 (32.8%) zerosZeros
2012-11 has 103 (34.1%) zerosZeros
2012-12 has 95 (31.5%) zerosZeros
2013-01 has 105 (34.8%) zerosZeros
2013-02 has 110 (36.4%) zerosZeros
2013-03 has 100 (33.1%) zerosZeros
2013-04 has 87 (28.8%) zerosZeros
2013-05 has 90 (29.8%) zerosZeros
2013-06 has 100 (33.1%) zerosZeros
2013-07 has 92 (30.5%) zerosZeros
2013-08 has 90 (29.8%) zerosZeros
2013-09 has 81 (26.8%) zerosZeros
2013-10 has 86 (28.5%) zerosZeros
2013-11 has 82 (27.2%) zerosZeros
2013-12 has 75 (24.8%) zerosZeros
2014-01 has 22 (7.3%) zerosZeros
2014-02 has 38 (12.6%) zerosZeros
2014-03 has 34 (11.3%) zerosZeros
2014-04 has 32 (10.6%) zerosZeros
2014-05 has 41 (13.6%) zerosZeros
2014-06 has 60 (19.9%) zerosZeros
2014-07 has 50 (16.6%) zerosZeros
2014-08 has 49 (16.2%) zerosZeros
2014-09 has 46 (15.2%) zerosZeros
2014-10 has 57 (18.9%) zerosZeros
2014-11 has 53 (17.5%) zerosZeros
2014-12 has 47 (15.6%) zerosZeros
2015-01 has 62 (20.5%) zerosZeros
2015-02 has 62 (20.5%) zerosZeros
2015-03 has 55 (18.2%) zerosZeros
2015-04 has 48 (15.9%) zerosZeros
2015-05 has 57 (18.9%) zerosZeros
2015-06 has 43 (14.2%) zerosZeros
2015-07 has 55 (18.2%) zerosZeros
2015-08 has 49 (16.2%) zerosZeros
2015-09 has 57 (18.9%) zerosZeros
2015-10 has 50 (16.6%) zerosZeros
2015-11 has 57 (18.9%) zerosZeros
2015-12 has 51 (16.9%) zerosZeros
2016-01 has 62 (20.5%) zerosZeros
2016-02 has 50 (16.6%) zerosZeros
2016-03 has 49 (16.2%) zerosZeros
2016-04 has 49 (16.2%) zerosZeros
2016-05 has 43 (14.2%) zerosZeros
2016-06 has 48 (15.9%) zerosZeros
2016-07 has 50 (16.6%) zerosZeros
2016-08 has 50 (16.6%) zerosZeros
2016-09 has 50 (16.6%) zerosZeros
2016-10 has 50 (16.6%) zerosZeros
2016-11 has 48 (15.9%) zerosZeros
2016-12 has 41 (13.6%) zerosZeros
2017-01 has 46 (15.2%) zerosZeros
2017-02 has 52 (17.2%) zerosZeros
2017-03 has 43 (14.2%) zerosZeros
2017-04 has 41 (13.6%) zerosZeros
2017-05 has 39 (12.9%) zerosZeros
2017-06 has 36 (11.9%) zerosZeros
2017-07 has 48 (15.9%) zerosZeros
2017-08 has 46 (15.2%) zerosZeros
2017-09 has 46 (15.2%) zerosZeros
2017-10 has 44 (14.6%) zerosZeros
2017-11 has 40 (13.2%) zerosZeros
2017-12 has 43 (14.2%) zerosZeros
2018-01 has 48 (15.9%) zerosZeros
2018-02 has 43 (14.2%) zerosZeros
2018-03 has 33 (10.9%) zerosZeros
2018-04 has 41 (13.6%) zerosZeros
2018-05 has 35 (11.6%) zerosZeros
2018-06 has 35 (11.6%) zerosZeros
2018-07 has 34 (11.3%) zerosZeros
2018-08 has 32 (10.6%) zerosZeros
2018-09 has 29 (9.6%) zerosZeros
2018-10 has 40 (13.2%) zerosZeros
2018-11 has 32 (10.6%) zerosZeros
2018-12 has 26 (8.6%) zerosZeros
2019-01 has 30 (9.9%) zerosZeros
2019-02 has 33 (10.9%) zerosZeros
2019-03 has 31 (10.3%) zerosZeros
2019-04 has 32 (10.6%) zerosZeros
2019-05 has 30 (9.9%) zerosZeros
2019-06 has 31 (10.3%) zerosZeros
2019-07 has 24 (7.9%) zerosZeros
2019-08 has 32 (10.6%) zerosZeros
2019-09 has 32 (10.6%) zerosZeros
2019-10 has 32 (10.6%) zerosZeros
2019-11 has 29 (9.6%) zerosZeros
2019-12 has 24 (7.9%) zerosZeros
2020-01 has 30 (9.9%) zerosZeros
2020-02 has 31 (10.3%) zerosZeros
2020-03 has 32 (10.6%) zerosZeros
2020-04 has 28 (9.3%) zerosZeros
2020-05 has 33 (10.9%) zerosZeros
2020-06 has 32 (10.6%) zerosZeros
2020-07 has 30 (9.9%) zerosZeros
2020-08 has 34 (11.3%) zerosZeros
2020-09 has 31 (10.3%) zerosZeros
2020-10 has 37 (12.3%) zerosZeros
2020-11 has 31 (10.3%) zerosZeros
2020-12 has 30 (9.9%) zerosZeros
2021-01 has 42 (13.9%) zerosZeros
2021-02 has 50 (16.6%) zerosZeros
2021-03 has 31 (10.3%) zerosZeros
2021-04 has 39 (12.9%) zerosZeros
2021-05 has 36 (11.9%) zerosZeros
2021-06 has 32 (10.6%) zerosZeros
2021-07 has 30 (9.9%) zerosZeros
2021-08 has 34 (11.3%) zerosZeros
2021-09 has 36 (11.9%) zerosZeros
2021-10 has 44 (14.6%) zerosZeros
2021-11 has 42 (13.9%) zerosZeros
2021-12 has 39 (12.9%) zerosZeros
2022-01 has 49 (16.2%) zerosZeros
2022-02 has 47 (15.6%) zerosZeros
2022-03 has 33 (10.9%) zerosZeros
2022-04 has 36 (11.9%) zerosZeros
2022-05 has 38 (12.6%) zerosZeros
2022-06 has 43 (14.2%) zerosZeros
2022-07 has 37 (12.3%) zerosZeros
2022-08 has 38 (12.6%) zerosZeros
2022-09 has 50 (16.6%) zerosZeros
2022-10 has 49 (16.2%) zerosZeros
2022-11 has 52 (17.2%) zerosZeros
2022-12 has 48 (15.9%) zerosZeros
2023-01 has 57 (18.9%) zerosZeros
2023-02 has 59 (19.5%) zerosZeros
2023-03 has 56 (18.5%) zerosZeros
2023-04 has 48 (15.9%) zerosZeros
2023-05 has 43 (14.2%) zerosZeros
2023-06 has 42 (13.9%) zerosZeros
2023-07 has 48 (15.9%) zerosZeros
2023-08 has 43 (14.2%) zerosZeros
2023-09 has 39 (12.9%) zerosZeros
2023-10 has 56 (18.5%) zerosZeros
2023-11 has 51 (16.9%) zerosZeros
2023-12 has 50 (16.6%) zerosZeros
2024-01 has 53 (17.5%) zerosZeros

Reproduction

Analysis started2024-03-30 07:10:17.830610
Analysis finished2024-03-30 07:10:23.292563
Duration5.46 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
2024-03-30T07:10:23.932160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length7
Mean length7.3509934
Min length4

Characters and Unicode

Total characters2220
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%
충북 20
 
3.2%
충남 20
 
3.2%
강원 19
 
3.0%
전북 17
 
2.7%
부산 17
 
2.7%
Other values (266) 372
59.7%
2024-03-30T07:10:25.320995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
27.2%
144
 
6.5%
125
 
5.6%
112
 
5.0%
93
 
4.2%
89
 
4.0%
72
 
3.2%
59
 
2.7%
50
 
2.3%
48
 
2.2%
Other values (137) 825
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1579
71.1%
Space Separator 603
 
27.2%
Close Punctuation 19
 
0.9%
Open Punctuation 19
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
144
 
9.1%
125
 
7.9%
112
 
7.1%
93
 
5.9%
89
 
5.6%
72
 
4.6%
59
 
3.7%
50
 
3.2%
48
 
3.0%
45
 
2.8%
Other values (134) 742
47.0%
Space Separator
ValueCountFrequency (%)
603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1579
71.1%
Common 641
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
144
 
9.1%
125
 
7.9%
112
 
7.1%
93
 
5.9%
89
 
5.6%
72
 
4.6%
59
 
3.7%
50
 
3.2%
48
 
3.0%
45
 
2.8%
Other values (134) 742
47.0%
Common
ValueCountFrequency (%)
603
94.1%
) 19
 
3.0%
( 19
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1579
71.1%
ASCII 641
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
603
94.1%
) 19
 
3.0%
( 19
 
3.0%
Hangul
ValueCountFrequency (%)
144
 
9.1%
125
 
7.9%
112
 
7.1%
93
 
5.9%
89
 
5.6%
72
 
4.6%
59
 
3.7%
50
 
3.2%
48
 
3.0%
45
 
2.8%
Other values (134) 742
47.0%

2006-01
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)61.4%
Missing214
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean196.89773
Minimum0
Maximum6974
Zeros12
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:25.770516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17.5
Q379
95-th percentile506.7
Maximum6974
Range6974
Interquartile range (IQR)76

Descriptive statistics

Standard deviation807.81064
Coefficient of variation (CV)4.1026915
Kurtosis58.692665
Mean196.89773
Median Absolute Deviation (MAD)17.5
Skewness7.267918
Sum17327
Variance652558.02
MonotonicityNot monotonic
2024-03-30T07:10:26.454112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
4.0%
3 5
 
1.7%
2 5
 
1.7%
4 5
 
1.7%
10 3
 
1.0%
7 3
 
1.0%
65 3
 
1.0%
8 3
 
1.0%
29 2
 
0.7%
11 2
 
0.7%
Other values (44) 45
 
14.9%
(Missing) 214
70.9%
ValueCountFrequency (%)
0 12
4.0%
1 1
 
0.3%
2 5
1.7%
3 5
1.7%
4 5
1.7%
5 1
 
0.3%
6 1
 
0.3%
7 3
 
1.0%
8 3
 
1.0%
9 1
 
0.3%
ValueCountFrequency (%)
6974 1
0.3%
2190 1
0.3%
1993 1
0.3%
1227 1
0.3%
548 1
0.3%
430 1
0.3%
426 1
0.3%
382 1
0.3%
374 1
0.3%
326 1
0.3%

2006-02
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)52.2%
Missing164
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean156.80435
Minimum0
Maximum7815
Zeros27
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:27.152449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17.5
Q372.25
95-th percentile343.1
Maximum7815
Range7815
Interquartile range (IQR)71.25

Descriptive statistics

Standard deviation737.11159
Coefficient of variation (CV)4.7008364
Kurtosis87.822467
Mean156.80435
Median Absolute Deviation (MAD)17.5
Skewness8.8672098
Sum21639
Variance543333.5
MonotonicityNot monotonic
2024-03-30T07:10:27.711243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.9%
1 11
 
3.6%
3 6
 
2.0%
14 4
 
1.3%
7 4
 
1.3%
27 3
 
1.0%
41 3
 
1.0%
83 3
 
1.0%
2 2
 
0.7%
45 2
 
0.7%
Other values (62) 73
24.2%
(Missing) 164
54.3%
ValueCountFrequency (%)
0 27
8.9%
1 11
3.6%
2 2
 
0.7%
3 6
 
2.0%
4 2
 
0.7%
6 2
 
0.7%
7 4
 
1.3%
8 1
 
0.3%
9 2
 
0.7%
10 1
 
0.3%
ValueCountFrequency (%)
7815 1
0.3%
3056 1
0.3%
1653 1
0.3%
1351 1
0.3%
1110 1
0.3%
860 1
0.3%
389 1
0.3%
335 1
0.3%
268 1
0.3%
259 1
0.3%

2006-03
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)53.5%
Missing143
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean207.60377
Minimum0
Maximum10875
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:28.480530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q381
95-th percentile705.5
Maximum10875
Range10875
Interquartile range (IQR)79

Descriptive statistics

Standard deviation965.1328
Coefficient of variation (CV)4.6489174
Kurtosis98.465064
Mean207.60377
Median Absolute Deviation (MAD)24
Skewness9.3984779
Sum33009
Variance931481.32
MonotonicityNot monotonic
2024-03-30T07:10:29.108636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 8
 
2.6%
2 8
 
2.6%
4 4
 
1.3%
3 4
 
1.3%
8 4
 
1.3%
5 3
 
1.0%
33 3
 
1.0%
15 3
 
1.0%
7 3
 
1.0%
Other values (75) 90
29.8%
(Missing) 143
47.4%
ValueCountFrequency (%)
0 29
9.6%
1 8
 
2.6%
2 8
 
2.6%
3 4
 
1.3%
4 4
 
1.3%
5 3
 
1.0%
6 3
 
1.0%
7 3
 
1.0%
8 4
 
1.3%
11 1
 
0.3%
ValueCountFrequency (%)
10875 1
0.3%
4781 1
0.3%
1865 1
0.3%
1443 1
0.3%
1206 1
0.3%
1198 1
0.3%
969 1
0.3%
944 1
0.3%
679 1
0.3%
606 1
0.3%

2006-04
Real number (ℝ)

MISSING  ZEROS 

Distinct79
Distinct (%)44.9%
Missing126
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean115.09091
Minimum0
Maximum6661
Zeros41
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:29.712106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10.5
Q358.75
95-th percentile326.5
Maximum6661
Range6661
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation554.03748
Coefficient of variation (CV)4.8139118
Kurtosis114.3538
Mean115.09091
Median Absolute Deviation (MAD)10.5
Skewness10.100873
Sum20256
Variance306957.53
MonotonicityNot monotonic
2024-03-30T07:10:30.291278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
13.6%
2 9
 
3.0%
1 9
 
3.0%
3 8
 
2.6%
4 5
 
1.7%
11 5
 
1.7%
7 4
 
1.3%
10 4
 
1.3%
15 4
 
1.3%
32 4
 
1.3%
Other values (69) 83
27.5%
(Missing) 126
41.7%
ValueCountFrequency (%)
0 41
13.6%
1 9
 
3.0%
2 9
 
3.0%
3 8
 
2.6%
4 5
 
1.7%
5 2
 
0.7%
6 3
 
1.0%
7 4
 
1.3%
8 1
 
0.3%
9 2
 
0.7%
ValueCountFrequency (%)
6661 1
0.3%
2443 1
0.3%
1520 1
0.3%
1161 1
0.3%
613 2
0.7%
463 1
0.3%
371 1
0.3%
331 1
0.3%
325 1
0.3%
317 1
0.3%

2006-05
Real number (ℝ)

MISSING  ZEROS 

Distinct79
Distinct (%)42.9%
Missing118
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean129.15217
Minimum0
Maximum7740
Zeros46
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:30.952398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median12
Q351.5
95-th percentile393.7
Maximum7740
Range7740
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation627.98178
Coefficient of variation (CV)4.86234
Kurtosis120.6882
Mean129.15217
Median Absolute Deviation (MAD)12
Skewness10.367187
Sum23764
Variance394361.11
MonotonicityNot monotonic
2024-03-30T07:10:31.544168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
15.2%
1 10
 
3.3%
2 7
 
2.3%
8 6
 
2.0%
24 4
 
1.3%
19 4
 
1.3%
7 4
 
1.3%
5 4
 
1.3%
29 4
 
1.3%
3 4
 
1.3%
Other values (69) 91
30.1%
(Missing) 118
39.1%
ValueCountFrequency (%)
0 46
15.2%
1 10
 
3.3%
2 7
 
2.3%
3 4
 
1.3%
4 2
 
0.7%
5 4
 
1.3%
6 3
 
1.0%
7 4
 
1.3%
8 6
 
2.0%
9 1
 
0.3%
ValueCountFrequency (%)
7740 1
0.3%
2499 1
0.3%
2248 1
0.3%
1075 1
0.3%
682 1
0.3%
595 1
0.3%
489 1
0.3%
471 1
0.3%
394 2
0.7%
392 1
0.3%

2006-06
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)43.8%
Missing108
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean110.67526
Minimum0
Maximum6900
Zeros54
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:32.264820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.5
Q347.5
95-th percentile313.3
Maximum6900
Range6900
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation547.41816
Coefficient of variation (CV)4.9461657
Kurtosis126.1395
Mean110.67526
Median Absolute Deviation (MAD)8.5
Skewness10.642781
Sum21471
Variance299666.65
MonotonicityNot monotonic
2024-03-30T07:10:32.806292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
17.9%
1 8
 
2.6%
2 8
 
2.6%
6 7
 
2.3%
3 7
 
2.3%
8 4
 
1.3%
9 4
 
1.3%
7 4
 
1.3%
13 4
 
1.3%
12 3
 
1.0%
Other values (75) 91
30.1%
(Missing) 108
35.8%
ValueCountFrequency (%)
0 54
17.9%
1 8
 
2.6%
2 8
 
2.6%
3 7
 
2.3%
4 2
 
0.7%
5 3
 
1.0%
6 7
 
2.3%
7 4
 
1.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
6900 1
0.3%
2514 1
0.3%
1981 1
0.3%
616 1
0.3%
395 1
0.3%
355 1
0.3%
350 1
0.3%
346 1
0.3%
327 1
0.3%
325 1
0.3%

2006-07
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)39.9%
Missing99
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean123.82759
Minimum0
Maximum7508
Zeros59
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:33.336916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q347
95-th percentile449.6
Maximum7508
Range7508
Interquartile range (IQR)47

Descriptive statistics

Standard deviation596.52918
Coefficient of variation (CV)4.8174175
Kurtosis119.83739
Mean123.82759
Median Absolute Deviation (MAD)5
Skewness10.217098
Sum25137
Variance355847.06
MonotonicityNot monotonic
2024-03-30T07:10:33.981479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
19.5%
2 12
 
4.0%
1 12
 
4.0%
3 11
 
3.6%
4 5
 
1.7%
5 5
 
1.7%
11 3
 
1.0%
6 3
 
1.0%
36 3
 
1.0%
30 3
 
1.0%
Other values (71) 87
28.8%
(Missing) 99
32.8%
ValueCountFrequency (%)
0 59
19.5%
1 12
 
4.0%
2 12
 
4.0%
3 11
 
3.6%
4 5
 
1.7%
5 5
 
1.7%
6 3
 
1.0%
7 2
 
0.7%
9 2
 
0.7%
11 3
 
1.0%
ValueCountFrequency (%)
7508 1
0.3%
3003 1
0.3%
1694 1
0.3%
1150 1
0.3%
1098 1
0.3%
997 1
0.3%
968 1
0.3%
629 1
0.3%
627 1
0.3%
502 1
0.3%

2006-08
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)40.6%
Missing95
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean129.07729
Minimum0
Maximum8324
Zeros61
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:34.584906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q349.5
95-th percentile454.8
Maximum8324
Range8324
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation636.18105
Coefficient of variation (CV)4.9286828
Kurtosis136.31469
Mean129.07729
Median Absolute Deviation (MAD)8
Skewness10.968888
Sum26719
Variance404726.32
MonotonicityNot monotonic
2024-03-30T07:10:35.138080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
20.2%
1 20
 
6.6%
2 6
 
2.0%
9 5
 
1.7%
7 4
 
1.3%
5 4
 
1.3%
14 4
 
1.3%
32 3
 
1.0%
17 3
 
1.0%
21 3
 
1.0%
Other values (74) 94
31.1%
(Missing) 95
31.5%
ValueCountFrequency (%)
0 61
20.2%
1 20
 
6.6%
2 6
 
2.0%
3 3
 
1.0%
4 3
 
1.0%
5 4
 
1.3%
6 2
 
0.7%
7 4
 
1.3%
8 1
 
0.3%
9 5
 
1.7%
ValueCountFrequency (%)
8324 1
0.3%
2626 1
0.3%
2161 1
0.3%
984 1
0.3%
854 1
0.3%
847 1
0.3%
742 1
0.3%
705 1
0.3%
675 1
0.3%
554 1
0.3%

2006-09
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)40.4%
Missing89
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean129.07042
Minimum0
Maximum8940
Zeros62
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:35.633205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q362
95-th percentile427.6
Maximum8940
Range8940
Interquartile range (IQR)62

Descriptive statistics

Standard deviation668.61566
Coefficient of variation (CV)5.1802392
Kurtosis145.01386
Mean129.07042
Median Absolute Deviation (MAD)11
Skewness11.378817
Sum27492
Variance447046.91
MonotonicityNot monotonic
2024-03-30T07:10:36.199023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
20.5%
1 12
 
4.0%
2 10
 
3.3%
3 5
 
1.7%
12 5
 
1.7%
11 5
 
1.7%
4 4
 
1.3%
33 4
 
1.3%
23 4
 
1.3%
7 3
 
1.0%
Other values (76) 99
32.8%
(Missing) 89
29.5%
ValueCountFrequency (%)
0 62
20.5%
1 12
 
4.0%
2 10
 
3.3%
3 5
 
1.7%
4 4
 
1.3%
5 3
 
1.0%
6 1
 
0.3%
7 3
 
1.0%
8 2
 
0.7%
9 1
 
0.3%
ValueCountFrequency (%)
8940 1
0.3%
2736 1
0.3%
2311 1
0.3%
1238 1
0.3%
954 1
0.3%
666 1
0.3%
622 1
0.3%
487 1
0.3%
486 1
0.3%
471 1
0.3%

2006-10
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)37.1%
Missing81
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean120.52036
Minimum0
Maximum8506
Zeros74
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:36.723708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q360
95-th percentile376
Maximum8506
Range8506
Interquartile range (IQR)60

Descriptive statistics

Standard deviation632.17576
Coefficient of variation (CV)5.2453855
Kurtosis144.35286
Mean120.52036
Median Absolute Deviation (MAD)8
Skewness11.370388
Sum26635
Variance399646.2
MonotonicityNot monotonic
2024-03-30T07:10:37.283654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74
24.5%
1 9
 
3.0%
2 8
 
2.6%
8 6
 
2.0%
7 6
 
2.0%
14 5
 
1.7%
11 5
 
1.7%
77 4
 
1.3%
6 4
 
1.3%
21 3
 
1.0%
Other values (72) 97
32.1%
(Missing) 81
26.8%
ValueCountFrequency (%)
0 74
24.5%
1 9
 
3.0%
2 8
 
2.6%
3 3
 
1.0%
4 2
 
0.7%
5 2
 
0.7%
6 4
 
1.3%
7 6
 
2.0%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
8506 1
0.3%
2753 1
0.3%
2739 1
0.3%
767 1
0.3%
593 1
0.3%
534 1
0.3%
459 1
0.3%
452 1
0.3%
438 1
0.3%
425 1
0.3%

2006-11
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)46.8%
Missing80
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean172.98198
Minimum0
Maximum12059
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:37.866471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13.5
Q387
95-th percentile535.05
Maximum12059
Range12059
Interquartile range (IQR)86

Descriptive statistics

Standard deviation883.9577
Coefficient of variation (CV)5.1101143
Kurtosis152.02329
Mean172.98198
Median Absolute Deviation (MAD)13.5
Skewness11.732197
Sum38402
Variance781381.22
MonotonicityNot monotonic
2024-03-30T07:10:38.615139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
16.6%
2 10
 
3.3%
1 10
 
3.3%
3 9
 
3.0%
4 6
 
2.0%
9 5
 
1.7%
5 5
 
1.7%
6 5
 
1.7%
8 3
 
1.0%
32 3
 
1.0%
Other values (94) 116
38.4%
(Missing) 80
26.5%
ValueCountFrequency (%)
0 50
16.6%
1 10
 
3.3%
2 10
 
3.3%
3 9
 
3.0%
4 6
 
2.0%
5 5
 
1.7%
6 5
 
1.7%
8 3
 
1.0%
9 5
 
1.7%
10 1
 
0.3%
ValueCountFrequency (%)
12059 1
0.3%
4623 1
0.3%
1925 1
0.3%
1113 1
0.3%
926 1
0.3%
827 1
0.3%
814 1
0.3%
782 1
0.3%
768 1
0.3%
695 1
0.3%

2006-12
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)41.9%
Missing75
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean232.85022
Minimum0
Maximum16779
Zeros61
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:39.042048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q386.5
95-th percentile923.7
Maximum16779
Range16779
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation1196.0982
Coefficient of variation (CV)5.1367707
Kurtosis164.0746
Mean232.85022
Median Absolute Deviation (MAD)10
Skewness12.086288
Sum52857
Variance1430650.9
MonotonicityNot monotonic
2024-03-30T07:10:39.860973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
20.2%
1 17
 
5.6%
3 8
 
2.6%
2 6
 
2.0%
5 5
 
1.7%
9 5
 
1.7%
23 4
 
1.3%
14 4
 
1.3%
8 4
 
1.3%
45 3
 
1.0%
Other values (85) 110
36.4%
(Missing) 75
24.8%
ValueCountFrequency (%)
0 61
20.2%
1 17
 
5.6%
2 6
 
2.0%
3 8
 
2.6%
4 1
 
0.3%
5 5
 
1.7%
6 3
 
1.0%
7 1
 
0.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
16779 1
0.3%
4161 1
0.3%
2586 1
0.3%
2416 1
0.3%
2146 1
0.3%
1933 1
0.3%
1613 1
0.3%
1527 1
0.3%
1437 1
0.3%
1154 1
0.3%

2007-01
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)45.8%
Missing75
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean210.76211
Minimum0
Maximum15825
Zeros60
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:40.304551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22
Q3106
95-th percentile691.8
Maximum15825
Range15825
Interquartile range (IQR)106

Descriptive statistics

Standard deviation1132.8734
Coefficient of variation (CV)5.3751285
Kurtosis162.53212
Mean210.76211
Median Absolute Deviation (MAD)22
Skewness12.122878
Sum47843
Variance1283402.3
MonotonicityNot monotonic
2024-03-30T07:10:40.809941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
19.9%
1 14
 
4.6%
3 6
 
2.0%
2 5
 
1.7%
34 4
 
1.3%
9 4
 
1.3%
16 3
 
1.0%
164 3
 
1.0%
32 3
 
1.0%
177 3
 
1.0%
Other values (94) 122
40.4%
(Missing) 75
24.8%
ValueCountFrequency (%)
0 60
19.9%
1 14
 
4.6%
2 5
 
1.7%
3 6
 
2.0%
4 3
 
1.0%
5 2
 
0.7%
6 2
 
0.7%
8 3
 
1.0%
9 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
15825 1
0.3%
4735 1
0.3%
3709 1
0.3%
1894 1
0.3%
1087 1
0.3%
1075 1
0.3%
808 1
0.3%
805 1
0.3%
765 1
0.3%
740 1
0.3%

2007-02
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)40.4%
Missing72
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean106.06087
Minimum0
Maximum8069
Zeros74
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:41.370964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q347.75
95-th percentile312
Maximum8069
Range8069
Interquartile range (IQR)47.75

Descriptive statistics

Standard deviation569.46476
Coefficient of variation (CV)5.3692259
Kurtosis169.26938
Mean106.06087
Median Absolute Deviation (MAD)8
Skewness12.352965
Sum24394
Variance324290.12
MonotonicityNot monotonic
2024-03-30T07:10:41.870516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74
24.5%
2 10
 
3.3%
8 9
 
3.0%
1 8
 
2.6%
11 6
 
2.0%
10 5
 
1.7%
36 4
 
1.3%
6 4
 
1.3%
5 4
 
1.3%
3 4
 
1.3%
Other values (83) 102
33.8%
(Missing) 72
23.8%
ValueCountFrequency (%)
0 74
24.5%
1 8
 
2.6%
2 10
 
3.3%
3 4
 
1.3%
4 4
 
1.3%
5 4
 
1.3%
6 4
 
1.3%
7 1
 
0.3%
8 9
 
3.0%
9 4
 
1.3%
ValueCountFrequency (%)
8069 1
0.3%
2097 1
0.3%
1492 1
0.3%
1160 1
0.3%
969 1
0.3%
914 1
0.3%
552 1
0.3%
424 1
0.3%
406 1
0.3%
398 1
0.3%

2007-03
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)36.9%
Missing69
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean98.296137
Minimum0
Maximum7219
Zeros68
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:42.554862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q335
95-th percentile404.6
Maximum7219
Range7219
Interquartile range (IQR)35

Descriptive statistics

Standard deviation512.92064
Coefficient of variation (CV)5.2181159
Kurtosis162.38475
Mean98.296137
Median Absolute Deviation (MAD)6
Skewness11.995867
Sum22903
Variance263087.58
MonotonicityNot monotonic
2024-03-30T07:10:42.998851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
22.5%
1 16
 
5.3%
3 12
 
4.0%
2 10
 
3.3%
7 5
 
1.7%
19 5
 
1.7%
12 5
 
1.7%
5 4
 
1.3%
6 4
 
1.3%
14 4
 
1.3%
Other values (76) 100
33.1%
(Missing) 69
22.8%
ValueCountFrequency (%)
0 68
22.5%
1 16
 
5.3%
2 10
 
3.3%
3 12
 
4.0%
4 4
 
1.3%
5 4
 
1.3%
6 4
 
1.3%
7 5
 
1.7%
8 3
 
1.0%
9 1
 
0.3%
ValueCountFrequency (%)
7219 1
0.3%
1997 1
0.3%
1371 1
0.3%
990 1
0.3%
957 1
0.3%
955 1
0.3%
729 1
0.3%
496 1
0.3%
477 1
0.3%
437 1
0.3%

2007-04
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)35.2%
Missing66
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean98.885593
Minimum0
Maximum7735
Zeros75
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:43.642797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q340.25
95-th percentile285.75
Maximum7735
Range7735
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation554.0071
Coefficient of variation (CV)5.6025058
Kurtosis157.43267
Mean98.885593
Median Absolute Deviation (MAD)7
Skewness11.883666
Sum23337
Variance306923.87
MonotonicityNot monotonic
2024-03-30T07:10:44.216250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
24.8%
1 14
 
4.6%
2 9
 
3.0%
10 7
 
2.3%
3 7
 
2.3%
5 6
 
2.0%
7 6
 
2.0%
11 5
 
1.7%
15 4
 
1.3%
23 4
 
1.3%
Other values (73) 99
32.8%
(Missing) 66
21.9%
ValueCountFrequency (%)
0 75
24.8%
1 14
 
4.6%
2 9
 
3.0%
3 7
 
2.3%
4 3
 
1.0%
5 6
 
2.0%
6 3
 
1.0%
7 6
 
2.0%
9 2
 
0.7%
10 7
 
2.3%
ValueCountFrequency (%)
7735 1
0.3%
2843 1
0.3%
1448 1
0.3%
1334 1
0.3%
847 1
0.3%
671 1
0.3%
369 1
0.3%
368 1
0.3%
361 1
0.3%
319 1
0.3%

2007-05
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)40.8%
Missing64
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean158.41597
Minimum0
Maximum12464
Zeros75
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:44.871343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q361.5
95-th percentile558.2
Maximum12464
Range12464
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation865.73392
Coefficient of variation (CV)5.464941
Kurtosis174.42018
Mean158.41597
Median Absolute Deviation (MAD)8
Skewness12.510055
Sum37703
Variance749495.21
MonotonicityNot monotonic
2024-03-30T07:10:45.422320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
24.8%
1 15
 
5.0%
2 9
 
3.0%
6 6
 
2.0%
3 5
 
1.7%
8 5
 
1.7%
9 5
 
1.7%
10 5
 
1.7%
4 5
 
1.7%
12 3
 
1.0%
Other values (87) 105
34.8%
(Missing) 64
21.2%
ValueCountFrequency (%)
0 75
24.8%
1 15
 
5.0%
2 9
 
3.0%
3 5
 
1.7%
4 5
 
1.7%
5 1
 
0.3%
6 6
 
2.0%
7 1
 
0.3%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
12464 1
0.3%
2888 1
0.3%
2612 1
0.3%
1848 1
0.3%
1407 1
0.3%
1074 2
0.7%
864 1
0.3%
855 1
0.3%
821 1
0.3%
739 1
0.3%

2007-06
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)37.2%
Missing63
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean130.83682
Minimum0
Maximum10395
Zeros68
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:46.037539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q347
95-th percentile362.6
Maximum10395
Range10395
Interquartile range (IQR)47

Descriptive statistics

Standard deviation726.62629
Coefficient of variation (CV)5.5536835
Kurtosis169.76106
Mean130.83682
Median Absolute Deviation (MAD)6
Skewness12.315395
Sum31270
Variance527985.77
MonotonicityNot monotonic
2024-03-30T07:10:46.624835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
22.5%
1 15
 
5.0%
6 10
 
3.3%
2 10
 
3.3%
3 7
 
2.3%
4 7
 
2.3%
11 6
 
2.0%
9 6
 
2.0%
8 6
 
2.0%
10 5
 
1.7%
Other values (79) 99
32.8%
(Missing) 63
20.9%
ValueCountFrequency (%)
0 68
22.5%
1 15
 
5.0%
2 10
 
3.3%
3 7
 
2.3%
4 7
 
2.3%
5 4
 
1.3%
6 10
 
3.3%
7 3
 
1.0%
8 6
 
2.0%
9 6
 
2.0%
ValueCountFrequency (%)
10395 1
0.3%
2978 1
0.3%
1678 1
0.3%
1498 1
0.3%
1458 1
0.3%
1114 1
0.3%
960 1
0.3%
868 1
0.3%
754 1
0.3%
636 1
0.3%

2007-07
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)36.6%
Missing59
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean137.36626
Minimum0
Maximum10850
Zeros81
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:47.089410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q340.5
95-th percentile410.9
Maximum10850
Range10850
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation748.63984
Coefficient of variation (CV)5.4499545
Kurtosis175.29056
Mean137.36626
Median Absolute Deviation (MAD)5
Skewness12.48998
Sum33380
Variance560461.61
MonotonicityNot monotonic
2024-03-30T07:10:47.746443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
26.8%
2 13
 
4.3%
1 12
 
4.0%
4 8
 
2.6%
14 6
 
2.0%
6 5
 
1.7%
12 4
 
1.3%
3 4
 
1.3%
7 4
 
1.3%
5 4
 
1.3%
Other values (79) 102
33.8%
(Missing) 59
19.5%
ValueCountFrequency (%)
0 81
26.8%
1 12
 
4.0%
2 13
 
4.3%
3 4
 
1.3%
4 8
 
2.6%
5 4
 
1.3%
6 5
 
1.7%
7 4
 
1.3%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
10850 1
0.3%
2415 1
0.3%
2151 1
0.3%
1620 1
0.3%
1355 1
0.3%
1249 1
0.3%
1157 1
0.3%
935 1
0.3%
809 1
0.3%
766 1
0.3%

2007-08
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)30.4%
Missing55
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean79.522267
Minimum0
Maximum6278
Zeros88
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:48.360682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q334.5
95-th percentile254.4
Maximum6278
Range6278
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation432.94305
Coefficient of variation (CV)5.4442996
Kurtosis173.49122
Mean79.522267
Median Absolute Deviation (MAD)4
Skewness12.454909
Sum19642
Variance187439.68
MonotonicityNot monotonic
2024-03-30T07:10:49.207309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
29.1%
1 13
 
4.3%
2 12
 
4.0%
3 10
 
3.3%
9 8
 
2.6%
10 8
 
2.6%
4 6
 
2.0%
8 5
 
1.7%
5 5
 
1.7%
11 4
 
1.3%
Other values (65) 88
29.1%
(Missing) 55
18.2%
ValueCountFrequency (%)
0 88
29.1%
1 13
 
4.3%
2 12
 
4.0%
3 10
 
3.3%
4 6
 
2.0%
5 5
 
1.7%
6 2
 
0.7%
8 5
 
1.7%
9 8
 
2.6%
10 8
 
2.6%
ValueCountFrequency (%)
6278 1
0.3%
1718 1
0.3%
1590 1
0.3%
681 1
0.3%
621 1
0.3%
588 1
0.3%
466 1
0.3%
441 1
0.3%
415 1
0.3%
316 1
0.3%

2007-09
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)32.1%
Missing53
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean71.678715
Minimum0
Maximum5726
Zeros85
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:49.890387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329
95-th percentile256.6
Maximum5726
Range5726
Interquartile range (IQR)29

Descriptive statistics

Standard deviation390.54041
Coefficient of variation (CV)5.4484852
Kurtosis179.99878
Mean71.678715
Median Absolute Deviation (MAD)3
Skewness12.73795
Sum17848
Variance152521.82
MonotonicityNot monotonic
2024-03-30T07:10:50.466652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
28.1%
1 21
 
7.0%
2 11
 
3.6%
3 8
 
2.6%
6 7
 
2.3%
22 6
 
2.0%
16 5
 
1.7%
5 5
 
1.7%
10 5
 
1.7%
4 4
 
1.3%
Other values (70) 92
30.5%
(Missing) 53
17.5%
ValueCountFrequency (%)
0 85
28.1%
1 21
 
7.0%
2 11
 
3.6%
3 8
 
2.6%
4 4
 
1.3%
5 5
 
1.7%
6 7
 
2.3%
7 3
 
1.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
5726 1
0.3%
1719 1
0.3%
1043 1
0.3%
773 1
0.3%
463 1
0.3%
400 1
0.3%
355 1
0.3%
322 1
0.3%
293 1
0.3%
287 1
0.3%

2007-10
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)38.0%
Missing52
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean99.024
Minimum0
Maximum7937
Zeros75
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:51.083435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q346.75
95-th percentile330.1
Maximum7937
Range7937
Interquartile range (IQR)46.75

Descriptive statistics

Standard deviation530.88935
Coefficient of variation (CV)5.361219
Kurtosis192.85872
Mean99.024
Median Absolute Deviation (MAD)5
Skewness13.219357
Sum24756
Variance281843.5
MonotonicityNot monotonic
2024-03-30T07:10:51.549436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
24.8%
1 22
 
7.3%
5 10
 
3.3%
2 9
 
3.0%
3 8
 
2.6%
6 6
 
2.0%
15 4
 
1.3%
4 4
 
1.3%
8 4
 
1.3%
10 3
 
1.0%
Other values (85) 105
34.8%
(Missing) 52
17.2%
ValueCountFrequency (%)
0 75
24.8%
1 22
 
7.3%
2 9
 
3.0%
3 8
 
2.6%
4 4
 
1.3%
5 10
 
3.3%
6 6
 
2.0%
7 3
 
1.0%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
7937 1
0.3%
1486 1
0.3%
1323 1
0.3%
1229 1
0.3%
779 1
0.3%
737 2
0.7%
718 1
0.3%
459 1
0.3%
458 1
0.3%
368 1
0.3%

2007-11
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)37.3%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean156.51373
Minimum0
Maximum12396
Zeros83
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:52.169864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q351
95-th percentile613
Maximum12396
Range12396
Interquartile range (IQR)51

Descriptive statistics

Standard deviation854.53409
Coefficient of variation (CV)5.4598029
Kurtosis168.45709
Mean156.51373
Median Absolute Deviation (MAD)5
Skewness12.164339
Sum39911
Variance730228.5
MonotonicityNot monotonic
2024-03-30T07:10:52.900808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83
27.5%
1 19
 
6.3%
2 10
 
3.3%
4 7
 
2.3%
8 5
 
1.7%
3 5
 
1.7%
35 4
 
1.3%
11 4
 
1.3%
7 4
 
1.3%
5 4
 
1.3%
Other values (85) 110
36.4%
(Missing) 47
15.6%
ValueCountFrequency (%)
0 83
27.5%
1 19
 
6.3%
2 10
 
3.3%
3 5
 
1.7%
4 7
 
2.3%
5 4
 
1.3%
6 4
 
1.3%
7 4
 
1.3%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
12396 1
0.3%
3799 1
0.3%
2756 1
0.3%
2148 1
0.3%
1254 2
0.7%
1220 1
0.3%
1047 1
0.3%
1017 1
0.3%
782 1
0.3%
748 1
0.3%

2007-12
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)35.4%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean137.22957
Minimum0
Maximum11220
Zeros89
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:53.504228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q344
95-th percentile367
Maximum11220
Range11220
Interquartile range (IQR)44

Descriptive statistics

Standard deviation777.35971
Coefficient of variation (CV)5.6646661
Kurtosis164.45056
Mean137.22957
Median Absolute Deviation (MAD)4
Skewness12.017133
Sum35268
Variance604288.12
MonotonicityNot monotonic
2024-03-30T07:10:54.124184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89
29.5%
1 15
 
5.0%
2 14
 
4.6%
3 10
 
3.3%
7 7
 
2.3%
4 6
 
2.0%
9 5
 
1.7%
6 4
 
1.3%
47 4
 
1.3%
13 4
 
1.3%
Other values (81) 99
32.8%
(Missing) 45
14.9%
ValueCountFrequency (%)
0 89
29.5%
1 15
 
5.0%
2 14
 
4.6%
3 10
 
3.3%
4 6
 
2.0%
5 3
 
1.0%
6 4
 
1.3%
7 7
 
2.3%
8 1
 
0.3%
9 5
 
1.7%
ValueCountFrequency (%)
11220 1
0.3%
3512 1
0.3%
2592 1
0.3%
2521 1
0.3%
1828 1
0.3%
1030 1
0.3%
755 1
0.3%
754 1
0.3%
573 1
0.3%
559 1
0.3%

2008-01
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)34.2%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean138.56809
Minimum0
Maximum11619
Zeros89
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:54.738332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile428.6
Maximum11619
Range11619
Interquartile range (IQR)36

Descriptive statistics

Standard deviation783.43648
Coefficient of variation (CV)5.6538014
Kurtosis182.16731
Mean138.56809
Median Absolute Deviation (MAD)3
Skewness12.700807
Sum35612
Variance613772.72
MonotonicityNot monotonic
2024-03-30T07:10:55.945679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89
29.5%
1 23
 
7.6%
2 12
 
4.0%
3 6
 
2.0%
12 6
 
2.0%
4 5
 
1.7%
8 5
 
1.7%
5 5
 
1.7%
24 4
 
1.3%
11 4
 
1.3%
Other values (78) 98
32.5%
(Missing) 45
14.9%
ValueCountFrequency (%)
0 89
29.5%
1 23
 
7.6%
2 12
 
4.0%
3 6
 
2.0%
4 5
 
1.7%
5 5
 
1.7%
7 4
 
1.3%
8 5
 
1.7%
9 2
 
0.7%
10 2
 
0.7%
ValueCountFrequency (%)
11619 1
0.3%
2457 1
0.3%
2357 1
0.3%
1988 1
0.3%
1564 1
0.3%
1472 1
0.3%
1306 1
0.3%
1208 1
0.3%
795 1
0.3%
773 1
0.3%

2008-02
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)31.5%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean88.22179
Minimum0
Maximum7426
Zeros95
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:56.536848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327
95-th percentile209
Maximum7426
Range7426
Interquartile range (IQR)27

Descriptive statistics

Standard deviation526.3216
Coefficient of variation (CV)5.9658912
Kurtosis153.20947
Mean88.22179
Median Absolute Deviation (MAD)3
Skewness11.666211
Sum22673
Variance277014.42
MonotonicityNot monotonic
2024-03-30T07:10:57.170278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
31.5%
1 20
 
6.6%
2 13
 
4.3%
3 9
 
3.0%
4 7
 
2.3%
9 6
 
2.0%
6 5
 
1.7%
27 4
 
1.3%
8 4
 
1.3%
11 4
 
1.3%
Other values (71) 90
29.8%
(Missing) 45
14.9%
ValueCountFrequency (%)
0 95
31.5%
1 20
 
6.6%
2 13
 
4.3%
3 9
 
3.0%
4 7
 
2.3%
5 2
 
0.7%
6 5
 
1.7%
7 1
 
0.3%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
7426 1
0.3%
3107 1
0.3%
1999 1
0.3%
1347 1
0.3%
686 1
0.3%
628 1
0.3%
619 1
0.3%
395 1
0.3%
378 1
0.3%
289 1
0.3%

2008-03
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)34.6%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean125.77043
Minimum0
Maximum10419
Zeros88
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:57.970218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q338
95-th percentile492.8
Maximum10419
Range10419
Interquartile range (IQR)38

Descriptive statistics

Standard deviation711.12064
Coefficient of variation (CV)5.6541164
Kurtosis174.86283
Mean125.77043
Median Absolute Deviation (MAD)4
Skewness12.483009
Sum32323
Variance505692.57
MonotonicityNot monotonic
2024-03-30T07:10:58.616441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
29.1%
1 20
 
6.6%
4 10
 
3.3%
2 9
 
3.0%
3 9
 
3.0%
6 7
 
2.3%
17 4
 
1.3%
8 4
 
1.3%
7 4
 
1.3%
20 4
 
1.3%
Other values (79) 98
32.5%
(Missing) 45
14.9%
ValueCountFrequency (%)
0 88
29.1%
1 20
 
6.6%
2 9
 
3.0%
3 9
 
3.0%
4 10
 
3.3%
5 3
 
1.0%
6 7
 
2.3%
7 4
 
1.3%
8 4
 
1.3%
9 1
 
0.3%
ValueCountFrequency (%)
10419 1
0.3%
3549 1
0.3%
1895 1
0.3%
1210 1
0.3%
1076 1
0.3%
1025 1
0.3%
864 1
0.3%
832 1
0.3%
728 1
0.3%
612 1
0.3%

2008-04
Real number (ℝ)

MISSING  ZEROS 

Distinct109
Distinct (%)42.4%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean155.02335
Minimum0
Maximum12934
Zeros91
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:10:59.204037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q375
95-th percentile590.2
Maximum12934
Range12934
Interquartile range (IQR)75

Descriptive statistics

Standard deviation852.39905
Coefficient of variation (CV)5.4985205
Kurtosis199.51491
Mean155.02335
Median Absolute Deviation (MAD)8
Skewness13.472326
Sum39841
Variance726584.15
MonotonicityNot monotonic
2024-03-30T07:10:59.769577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
30.1%
1 11
 
3.6%
2 7
 
2.3%
3 6
 
2.0%
7 5
 
1.7%
8 5
 
1.7%
14 4
 
1.3%
23 4
 
1.3%
33 3
 
1.0%
9 3
 
1.0%
Other values (99) 118
39.1%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 91
30.1%
1 11
 
3.6%
2 7
 
2.3%
3 6
 
2.0%
4 3
 
1.0%
5 1
 
0.3%
6 2
 
0.7%
7 5
 
1.7%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
12934 1
0.3%
2824 1
0.3%
2136 1
0.3%
1443 1
0.3%
1235 1
0.3%
1182 1
0.3%
1036 1
0.3%
729 1
0.3%
716 1
0.3%
699 1
0.3%

2008-05
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)34.5%
Missing44
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean119.87209
Minimum0
Maximum10019
Zeros88
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:00.308053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q342.25
95-th percentile375.75
Maximum10019
Range10019
Interquartile range (IQR)42.25

Descriptive statistics

Standard deviation666.43415
Coefficient of variation (CV)5.5595438
Kurtosis191.77283
Mean119.87209
Median Absolute Deviation (MAD)4.5
Skewness13.14652
Sum30927
Variance444134.48
MonotonicityNot monotonic
2024-03-30T07:11:00.984659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
29.1%
1 16
 
5.3%
2 11
 
3.6%
3 8
 
2.6%
10 6
 
2.0%
4 6
 
2.0%
6 6
 
2.0%
9 5
 
1.7%
5 4
 
1.3%
7 4
 
1.3%
Other values (79) 104
34.4%
(Missing) 44
14.6%
ValueCountFrequency (%)
0 88
29.1%
1 16
 
5.3%
2 11
 
3.6%
3 8
 
2.6%
4 6
 
2.0%
5 4
 
1.3%
6 6
 
2.0%
7 4
 
1.3%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
10019 1
0.3%
2507 1
0.3%
1909 1
0.3%
1112 1
0.3%
966 1
0.3%
945 1
0.3%
771 1
0.3%
741 1
0.3%
666 1
0.3%
612 1
0.3%

2008-06
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)38.5%
Missing40
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean168.83588
Minimum0
Maximum14638
Zeros84
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:01.527536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q349
95-th percentile671.4
Maximum14638
Range14638
Interquartile range (IQR)49

Descriptive statistics

Standard deviation991.64502
Coefficient of variation (CV)5.8734259
Kurtosis177.12352
Mean168.83588
Median Absolute Deviation (MAD)7
Skewness12.56359
Sum44235
Variance983359.85
MonotonicityNot monotonic
2024-03-30T07:11:02.058082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84
27.8%
1 17
 
5.6%
4 10
 
3.3%
7 7
 
2.3%
3 7
 
2.3%
2 7
 
2.3%
10 5
 
1.7%
11 4
 
1.3%
8 4
 
1.3%
15 4
 
1.3%
Other values (91) 113
37.4%
(Missing) 40
 
13.2%
ValueCountFrequency (%)
0 84
27.8%
1 17
 
5.6%
2 7
 
2.3%
3 7
 
2.3%
4 10
 
3.3%
5 4
 
1.3%
6 1
 
0.3%
7 7
 
2.3%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
14638 1
0.3%
4988 1
0.3%
2553 1
0.3%
2261 1
0.3%
2029 1
0.3%
1100 1
0.3%
1001 1
0.3%
996 1
0.3%
982 1
0.3%
881 1
0.3%

2008-07
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)35.6%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean137.61742
Minimum0
Maximum12088
Zeros93
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:02.832455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q350
95-th percentile444.55
Maximum12088
Range12088
Interquartile range (IQR)50

Descriptive statistics

Standard deviation815.30125
Coefficient of variation (CV)5.9244042
Kurtosis179.71487
Mean137.61742
Median Absolute Deviation (MAD)4
Skewness12.71093
Sum36331
Variance664716.12
MonotonicityNot monotonic
2024-03-30T07:11:03.360125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 93
30.8%
1 21
 
7.0%
2 10
 
3.3%
3 6
 
2.0%
7 6
 
2.0%
4 5
 
1.7%
8 5
 
1.7%
13 4
 
1.3%
6 4
 
1.3%
5 4
 
1.3%
Other values (84) 106
35.1%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 93
30.8%
1 21
 
7.0%
2 10
 
3.3%
3 6
 
2.0%
4 5
 
1.7%
5 4
 
1.3%
6 4
 
1.3%
7 6
 
2.0%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
12088 1
0.3%
4457 1
0.3%
1606 1
0.3%
1553 1
0.3%
1424 1
0.3%
1303 1
0.3%
1022 1
0.3%
712 1
0.3%
687 1
0.3%
665 1
0.3%

2008-08
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)31.1%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean74.795455
Minimum0
Maximum6494
Zeros94
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:03.994210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330.25
95-th percentile230.45
Maximum6494
Range6494
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation428.63027
Coefficient of variation (CV)5.7306995
Kurtosis193.61981
Mean74.795455
Median Absolute Deviation (MAD)3
Skewness13.191646
Sum19746
Variance183723.91
MonotonicityNot monotonic
2024-03-30T07:11:04.492362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 94
31.1%
1 22
 
7.3%
2 12
 
4.0%
8 7
 
2.3%
4 7
 
2.3%
5 7
 
2.3%
3 6
 
2.0%
11 5
 
1.7%
7 4
 
1.3%
6 4
 
1.3%
Other values (72) 96
31.8%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 94
31.1%
1 22
 
7.3%
2 12
 
4.0%
3 6
 
2.0%
4 7
 
2.3%
5 7
 
2.3%
6 4
 
1.3%
7 4
 
1.3%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
6494 1
0.3%
1596 1
0.3%
1166 1
0.3%
1151 1
0.3%
741 1
0.3%
586 1
0.3%
513 1
0.3%
434 1
0.3%
395 1
0.3%
313 1
0.3%

2008-09
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)31.3%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean88.588679
Minimum0
Maximum7551
Zeros110
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:05.043210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile459.6
Maximum7551
Range7551
Interquartile range (IQR)24

Descriptive statistics

Standard deviation493.14525
Coefficient of variation (CV)5.5666847
Kurtosis200.58326
Mean88.588679
Median Absolute Deviation (MAD)2
Skewness13.418629
Sum23476
Variance243192.24
MonotonicityNot monotonic
2024-03-30T07:11:05.666843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110
36.4%
1 14
 
4.6%
2 13
 
4.3%
3 8
 
2.6%
6 7
 
2.3%
9 5
 
1.7%
24 5
 
1.7%
7 4
 
1.3%
5 4
 
1.3%
11 4
 
1.3%
Other values (73) 91
30.1%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 110
36.4%
1 14
 
4.6%
2 13
 
4.3%
3 8
 
2.6%
4 2
 
0.7%
5 4
 
1.3%
6 7
 
2.3%
7 4
 
1.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
7551 1
0.3%
1542 1
0.3%
906 1
0.3%
900 1
0.3%
857 1
0.3%
827 1
0.3%
779 1
0.3%
733 1
0.3%
640 1
0.3%
536 1
0.3%

2008-10
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)37.0%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean118.72075
Minimum0
Maximum10128
Zeros96
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:06.192158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q350
95-th percentile467
Maximum10128
Range10128
Interquartile range (IQR)50

Descriptive statistics

Standard deviation654.81177
Coefficient of variation (CV)5.5155627
Kurtosis208.81305
Mean118.72075
Median Absolute Deviation (MAD)4
Skewness13.783185
Sum31461
Variance428778.45
MonotonicityNot monotonic
2024-03-30T07:11:06.770741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96
31.8%
1 15
 
5.0%
2 12
 
4.0%
5 8
 
2.6%
3 7
 
2.3%
8 5
 
1.7%
4 4
 
1.3%
33 3
 
1.0%
6 3
 
1.0%
9 3
 
1.0%
Other values (88) 109
36.1%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 96
31.8%
1 15
 
5.0%
2 12
 
4.0%
3 7
 
2.3%
4 4
 
1.3%
5 8
 
2.6%
6 3
 
1.0%
7 3
 
1.0%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
10128 1
0.3%
1565 1
0.3%
1457 1
0.3%
1412 1
0.3%
1358 1
0.3%
1062 1
0.3%
782 1
0.3%
685 1
0.3%
680 1
0.3%
597 1
0.3%

2008-11
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)33.2%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean95.332075
Minimum0
Maximum8219
Zeros101
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:07.208112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q335
95-th percentile395.6
Maximum8219
Range8219
Interquartile range (IQR)35

Descriptive statistics

Standard deviation535.03436
Coefficient of variation (CV)5.6123226
Kurtosis203.34968
Mean95.332075
Median Absolute Deviation (MAD)3
Skewness13.554865
Sum25263
Variance286261.77
MonotonicityNot monotonic
2024-03-30T07:11:07.653290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101
33.4%
1 15
 
5.0%
2 14
 
4.6%
3 10
 
3.3%
7 6
 
2.0%
5 6
 
2.0%
16 5
 
1.7%
10 4
 
1.3%
14 4
 
1.3%
36 3
 
1.0%
Other values (78) 97
32.1%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 101
33.4%
1 15
 
5.0%
2 14
 
4.6%
3 10
 
3.3%
4 3
 
1.0%
5 6
 
2.0%
6 3
 
1.0%
7 6
 
2.0%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
8219 1
0.3%
1517 1
0.3%
1360 1
0.3%
1183 1
0.3%
999 1
0.3%
857 1
0.3%
576 1
0.3%
569 1
0.3%
538 1
0.3%
537 1
0.3%

2008-12
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)33.6%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean159.89434
Minimum0
Maximum13745
Zeros92
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:08.192539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q334
95-th percentile651.6
Maximum13745
Range13745
Interquartile range (IQR)34

Descriptive statistics

Standard deviation904.63157
Coefficient of variation (CV)5.6576835
Kurtosis194.55245
Mean159.89434
Median Absolute Deviation (MAD)4
Skewness13.156944
Sum42372
Variance818358.27
MonotonicityNot monotonic
2024-03-30T07:11:08.864264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
30.5%
1 23
 
7.6%
2 10
 
3.3%
5 9
 
3.0%
4 7
 
2.3%
3 6
 
2.0%
7 5
 
1.7%
8 5
 
1.7%
6 4
 
1.3%
13 4
 
1.3%
Other values (79) 100
33.1%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 92
30.5%
1 23
 
7.6%
2 10
 
3.3%
3 6
 
2.0%
4 7
 
2.3%
5 9
 
3.0%
6 4
 
1.3%
7 5
 
1.7%
8 5
 
1.7%
10 1
 
0.3%
ValueCountFrequency (%)
13745 1
0.3%
2437 1
0.3%
2377 1
0.3%
2299 1
0.3%
1682 1
0.3%
1613 1
0.3%
1502 1
0.3%
1135 1
0.3%
1058 1
0.3%
1038 1
0.3%

2009-01
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)28.7%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean103.78868
Minimum0
Maximum9077
Zeros111
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:09.608151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q322
95-th percentile435
Maximum9077
Range9077
Interquartile range (IQR)22

Descriptive statistics

Standard deviation603.26552
Coefficient of variation (CV)5.8124405
Kurtosis188.08341
Mean103.78868
Median Absolute Deviation (MAD)1
Skewness12.950372
Sum27504
Variance363929.29
MonotonicityNot monotonic
2024-03-30T07:11:10.239872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
36.8%
1 23
 
7.6%
2 8
 
2.6%
4 8
 
2.6%
3 7
 
2.3%
5 6
 
2.0%
7 6
 
2.0%
6 6
 
2.0%
9 5
 
1.7%
8 3
 
1.0%
Other values (66) 82
27.2%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 111
36.8%
1 23
 
7.6%
2 8
 
2.6%
3 7
 
2.3%
4 8
 
2.6%
5 6
 
2.0%
6 6
 
2.0%
7 6
 
2.0%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
9077 1
0.3%
2680 1
0.3%
1199 1
0.3%
1194 1
0.3%
1077 1
0.3%
866 1
0.3%
795 1
0.3%
779 1
0.3%
776 1
0.3%
727 1
0.3%

2009-02
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)26.8%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean64.901887
Minimum0
Maximum5625
Zeros115
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:10.874804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile196.8
Maximum5625
Range5625
Interquartile range (IQR)14

Descriptive statistics

Standard deviation375.03326
Coefficient of variation (CV)5.7784646
Kurtosis185.39235
Mean64.901887
Median Absolute Deviation (MAD)2
Skewness12.828989
Sum17199
Variance140649.94
MonotonicityNot monotonic
2024-03-30T07:11:11.401347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115
38.1%
2 15
 
5.0%
1 14
 
4.6%
5 9
 
3.0%
3 9
 
3.0%
4 9
 
3.0%
8 7
 
2.3%
7 6
 
2.0%
12 4
 
1.3%
6 4
 
1.3%
Other values (61) 73
24.2%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 115
38.1%
1 14
 
4.6%
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 7
 
2.3%
9 1
 
0.3%
ValueCountFrequency (%)
5625 1
0.3%
1345 1
0.3%
1341 1
0.3%
855 1
0.3%
839 1
0.3%
637 1
0.3%
434 1
0.3%
378 1
0.3%
353 1
0.3%
274 1
0.3%

2009-03
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)32.2%
Missing35
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean137.17228
Minimum0
Maximum11929
Zeros93
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:11.879863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338.5
95-th percentile543
Maximum11929
Range11929
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation780.00787
Coefficient of variation (CV)5.6863372
Kurtosis198.49408
Mean137.17228
Median Absolute Deviation (MAD)3
Skewness13.342046
Sum36625
Variance608412.27
MonotonicityNot monotonic
2024-03-30T07:11:12.834673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 93
30.8%
1 22
 
7.3%
2 13
 
4.3%
3 8
 
2.6%
6 8
 
2.6%
4 6
 
2.0%
7 6
 
2.0%
8 6
 
2.0%
12 4
 
1.3%
46 4
 
1.3%
Other values (76) 97
32.1%
(Missing) 35
 
11.6%
ValueCountFrequency (%)
0 93
30.8%
1 22
 
7.3%
2 13
 
4.3%
3 8
 
2.6%
4 6
 
2.0%
5 4
 
1.3%
6 8
 
2.6%
7 6
 
2.0%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
11929 1
0.3%
2738 1
0.3%
1813 1
0.3%
1796 1
0.3%
1303 1
0.3%
1265 1
0.3%
1015 1
0.3%
900 1
0.3%
888 1
0.3%
857 1
0.3%

2009-04
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)32.3%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean91.784387
Minimum0
Maximum7984
Zeros91
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:13.461142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q326
95-th percentile372.4
Maximum7984
Range7984
Interquartile range (IQR)26

Descriptive statistics

Standard deviation516.78247
Coefficient of variation (CV)5.6303963
Kurtosis204.93081
Mean91.784387
Median Absolute Deviation (MAD)5
Skewness13.581874
Sum24690
Variance267064.12
MonotonicityNot monotonic
2024-03-30T07:11:14.106076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
30.1%
1 14
 
4.6%
2 12
 
4.0%
5 9
 
3.0%
6 7
 
2.3%
3 7
 
2.3%
7 6
 
2.0%
4 6
 
2.0%
9 4
 
1.3%
18 4
 
1.3%
Other values (77) 109
36.1%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 91
30.1%
1 14
 
4.6%
2 12
 
4.0%
3 7
 
2.3%
4 6
 
2.0%
5 9
 
3.0%
6 7
 
2.3%
7 6
 
2.0%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
7984 1
0.3%
1382 1
0.3%
1217 1
0.3%
1139 1
0.3%
1028 1
0.3%
973 1
0.3%
787 1
0.3%
681 1
0.3%
604 1
0.3%
516 1
0.3%

2009-05
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)32.0%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean106.33086
Minimum0
Maximum9225
Zeros95
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:14.772808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q331
95-th percentile350.4
Maximum9225
Range9225
Interquartile range (IQR)31

Descriptive statistics

Standard deviation615.62397
Coefficient of variation (CV)5.789702
Kurtosis182.17027
Mean106.33086
Median Absolute Deviation (MAD)4
Skewness12.67429
Sum28603
Variance378992.87
MonotonicityNot monotonic
2024-03-30T07:11:15.283782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
31.5%
1 20
 
6.6%
2 11
 
3.6%
3 8
 
2.6%
4 7
 
2.3%
12 6
 
2.0%
8 6
 
2.0%
5 4
 
1.3%
25 4
 
1.3%
16 4
 
1.3%
Other values (76) 104
34.4%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 95
31.5%
1 20
 
6.6%
2 11
 
3.6%
3 8
 
2.6%
4 7
 
2.3%
5 4
 
1.3%
6 3
 
1.0%
8 6
 
2.0%
9 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
9225 1
0.3%
2522 1
0.3%
2115 1
0.3%
1486 1
0.3%
1193 1
0.3%
1077 1
0.3%
1071 1
0.3%
846 1
0.3%
542 1
0.3%
469 1
0.3%

2009-06
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)35.7%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean110.1487
Minimum0
Maximum9481
Zeros96
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:15.880888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q347
95-th percentile347
Maximum9481
Range9481
Interquartile range (IQR)47

Descriptive statistics

Standard deviation609.67595
Coefficient of variation (CV)5.5350264
Kurtosis210.28097
Mean110.1487
Median Absolute Deviation (MAD)6
Skewness13.819384
Sum29630
Variance371704.77
MonotonicityNot monotonic
2024-03-30T07:11:16.461031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96
31.8%
1 16
 
5.3%
2 7
 
2.3%
12 6
 
2.0%
3 6
 
2.0%
10 6
 
2.0%
8 5
 
1.7%
17 4
 
1.3%
4 4
 
1.3%
14 3
 
1.0%
Other values (86) 116
38.4%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 96
31.8%
1 16
 
5.3%
2 7
 
2.3%
3 6
 
2.0%
4 4
 
1.3%
5 3
 
1.0%
6 3
 
1.0%
7 3
 
1.0%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
9481 1
0.3%
1549 1
0.3%
1507 1
0.3%
1266 1
0.3%
1174 1
0.3%
1031 1
0.3%
943 1
0.3%
733 1
0.3%
598 1
0.3%
503 1
0.3%

2009-07
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)31.1%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean161.65185
Minimum0
Maximum14215
Zeros94
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:17.015302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q332
95-th percentile546.05
Maximum14215
Range14215
Interquartile range (IQR)32

Descriptive statistics

Standard deviation959.02338
Coefficient of variation (CV)5.9326471
Kurtosis174.78699
Mean161.65185
Median Absolute Deviation (MAD)4.5
Skewness12.406985
Sum43646
Variance919725.85
MonotonicityNot monotonic
2024-03-30T07:11:17.700676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 94
31.1%
1 15
 
5.0%
2 13
 
4.3%
5 10
 
3.3%
4 9
 
3.0%
25 7
 
2.3%
18 6
 
2.0%
6 5
 
1.7%
3 4
 
1.3%
27 4
 
1.3%
Other values (74) 103
34.1%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 94
31.1%
1 15
 
5.0%
2 13
 
4.3%
3 4
 
1.3%
4 9
 
3.0%
5 10
 
3.3%
6 5
 
1.7%
7 3
 
1.0%
8 1
 
0.3%
9 4
 
1.3%
ValueCountFrequency (%)
14215 1
0.3%
4608 1
0.3%
3658 1
0.3%
2002 1
0.3%
1601 1
0.3%
1597 1
0.3%
1443 1
0.3%
1168 1
0.3%
932 1
0.3%
763 1
0.3%

2009-08
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)31.5%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean97.055556
Minimum0
Maximum8340
Zeros95
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:18.337058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q328.75
95-th percentile365.4
Maximum8340
Range8340
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation547.97334
Coefficient of variation (CV)5.645976
Kurtosis192.53245
Mean97.055556
Median Absolute Deviation (MAD)4
Skewness13.07546
Sum26205
Variance300274.78
MonotonicityNot monotonic
2024-03-30T07:11:18.871001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
31.5%
2 15
 
5.0%
1 14
 
4.6%
4 9
 
3.0%
8 8
 
2.6%
5 8
 
2.6%
6 7
 
2.3%
3 5
 
1.7%
11 4
 
1.3%
14 4
 
1.3%
Other values (75) 101
33.4%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 95
31.5%
1 14
 
4.6%
2 15
 
5.0%
3 5
 
1.7%
4 9
 
3.0%
5 8
 
2.6%
6 7
 
2.3%
7 4
 
1.3%
8 8
 
2.6%
9 1
 
0.3%
ValueCountFrequency (%)
8340 1
0.3%
1998 1
0.3%
1428 1
0.3%
1305 1
0.3%
1263 1
0.3%
1227 1
0.3%
620 1
0.3%
518 1
0.3%
512 1
0.3%
487 1
0.3%

2009-09
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)35.9%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean89.211111
Minimum0
Maximum7697
Zeros100
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:19.534590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q341.75
95-th percentile291.5
Maximum7697
Range7697
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation494.73271
Coefficient of variation (CV)5.54564
Kurtosis209.94645
Mean89.211111
Median Absolute Deviation (MAD)4
Skewness13.803161
Sum24087
Variance244760.45
MonotonicityNot monotonic
2024-03-30T07:11:20.180701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
33.1%
1 16
 
5.3%
2 9
 
3.0%
3 7
 
2.3%
10 7
 
2.3%
4 6
 
2.0%
29 5
 
1.7%
8 5
 
1.7%
15 4
 
1.3%
20 3
 
1.0%
Other values (87) 108
35.8%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 100
33.1%
1 16
 
5.3%
2 9
 
3.0%
3 7
 
2.3%
4 6
 
2.0%
5 2
 
0.7%
6 3
 
1.0%
7 2
 
0.7%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
7697 1
0.3%
1378 1
0.3%
1345 1
0.3%
968 1
0.3%
791 1
0.3%
728 1
0.3%
698 1
0.3%
624 1
0.3%
559 1
0.3%
492 1
0.3%

2009-10
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)34.7%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean103.15498
Minimum0
Maximum8639
Zeros104
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:20.819616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q341.5
95-th percentile394.5
Maximum8639
Range8639
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation568.52
Coefficient of variation (CV)5.5113189
Kurtosis191.01944
Mean103.15498
Median Absolute Deviation (MAD)3
Skewness13.044707
Sum27955
Variance323214.99
MonotonicityNot monotonic
2024-03-30T07:11:21.465687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 104
34.4%
2 14
 
4.6%
1 11
 
3.6%
4 7
 
2.3%
3 7
 
2.3%
7 5
 
1.7%
6 5
 
1.7%
5 4
 
1.3%
22 3
 
1.0%
57 3
 
1.0%
Other values (84) 108
35.8%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 104
34.4%
1 11
 
3.6%
2 14
 
4.6%
3 7
 
2.3%
4 7
 
2.3%
5 4
 
1.3%
6 5
 
1.7%
7 5
 
1.7%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
8639 1
0.3%
2629 1
0.3%
1173 1
0.3%
1083 1
0.3%
922 1
0.3%
891 1
0.3%
789 1
0.3%
725 1
0.3%
696 1
0.3%
643 2
0.7%

2009-11
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)34.7%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean154.18819
Minimum0
Maximum13059
Zeros98
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:22.105376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346.5
95-th percentile719.5
Maximum13059
Range13059
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation845.79345
Coefficient of variation (CV)5.4854619
Kurtosis202.57442
Mean154.18819
Median Absolute Deviation (MAD)4
Skewness13.444324
Sum41785
Variance715366.57
MonotonicityNot monotonic
2024-03-30T07:11:22.677135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
32.5%
1 19
 
6.3%
5 9
 
3.0%
2 9
 
3.0%
4 6
 
2.0%
10 5
 
1.7%
6 4
 
1.3%
3 4
 
1.3%
35 3
 
1.0%
47 3
 
1.0%
Other values (84) 111
36.8%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 98
32.5%
1 19
 
6.3%
2 9
 
3.0%
3 4
 
1.3%
4 6
 
2.0%
5 9
 
3.0%
6 4
 
1.3%
7 2
 
0.7%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
13059 1
0.3%
2180 1
0.3%
2078 1
0.3%
1809 1
0.3%
1480 1
0.3%
1463 1
0.3%
1371 1
0.3%
1309 1
0.3%
1196 1
0.3%
1178 1
0.3%

2009-12
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)35.1%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean128.72325
Minimum0
Maximum11052
Zeros96
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:23.675121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q338
95-th percentile470
Maximum11052
Range11052
Interquartile range (IQR)38

Descriptive statistics

Standard deviation721.73034
Coefficient of variation (CV)5.6068376
Kurtosis196.54572
Mean128.72325
Median Absolute Deviation (MAD)6
Skewness13.235351
Sum34884
Variance520894.68
MonotonicityNot monotonic
2024-03-30T07:11:24.434924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96
31.8%
1 15
 
5.0%
5 9
 
3.0%
3 5
 
1.7%
15 5
 
1.7%
2 5
 
1.7%
4 5
 
1.7%
18 5
 
1.7%
14 4
 
1.3%
13 4
 
1.3%
Other values (85) 118
39.1%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 96
31.8%
1 15
 
5.0%
2 5
 
1.7%
3 5
 
1.7%
4 5
 
1.7%
5 9
 
3.0%
6 3
 
1.0%
7 3
 
1.0%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
11052 1
0.3%
2768 1
0.3%
1417 2
0.7%
1382 1
0.3%
1367 1
0.3%
1355 1
0.3%
1175 1
0.3%
877 1
0.3%
664 1
0.3%
659 1
0.3%

2010-01
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)46.2%
Missing107
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean153.37436
Minimum0
Maximum9592
Zeros46
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:25.177346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q363
95-th percentile553.3
Maximum9592
Range9592
Interquartile range (IQR)62

Descriptive statistics

Standard deviation724.32832
Coefficient of variation (CV)4.7226168
Kurtosis150.49523
Mean153.37436
Median Absolute Deviation (MAD)11
Skewness11.660292
Sum29908
Variance524651.51
MonotonicityNot monotonic
2024-03-30T07:11:25.971073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
15.2%
3 11
 
3.6%
2 9
 
3.0%
1 8
 
2.6%
4 7
 
2.3%
15 5
 
1.7%
9 4
 
1.3%
5 4
 
1.3%
12 3
 
1.0%
13 3
 
1.0%
Other values (80) 95
31.5%
(Missing) 107
35.4%
ValueCountFrequency (%)
0 46
15.2%
1 8
 
2.6%
2 9
 
3.0%
3 11
 
3.6%
4 7
 
2.3%
5 4
 
1.3%
6 2
 
0.7%
8 2
 
0.7%
9 4
 
1.3%
10 3
 
1.0%
ValueCountFrequency (%)
9592 1
0.3%
1743 1
0.3%
1359 1
0.3%
1279 1
0.3%
1217 1
0.3%
1059 1
0.3%
989 1
0.3%
675 1
0.3%
614 1
0.3%
582 1
0.3%

2010-02
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)40.5%
Missing97
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean109.30244
Minimum0
Maximum7290
Zeros52
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:26.772135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q351
95-th percentile368.6
Maximum7290
Range7290
Interquartile range (IQR)51

Descriptive statistics

Standard deviation543.19993
Coefficient of variation (CV)4.9696963
Kurtosis151.6356
Mean109.30244
Median Absolute Deviation (MAD)10
Skewness11.666339
Sum22407
Variance295066.16
MonotonicityNot monotonic
2024-03-30T07:11:27.477705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
17.2%
1 11
 
3.6%
10 8
 
2.6%
3 7
 
2.3%
8 6
 
2.0%
6 6
 
2.0%
4 4
 
1.3%
13 4
 
1.3%
7 4
 
1.3%
32 4
 
1.3%
Other values (73) 99
32.8%
(Missing) 97
32.1%
ValueCountFrequency (%)
0 52
17.2%
1 11
 
3.6%
2 3
 
1.0%
3 7
 
2.3%
4 4
 
1.3%
5 2
 
0.7%
6 6
 
2.0%
7 4
 
1.3%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
7290 1
0.3%
1480 1
0.3%
1326 1
0.3%
1261 1
0.3%
1043 1
0.3%
1015 1
0.3%
423 1
0.3%
388 1
0.3%
381 1
0.3%
374 2
0.7%

2010-03
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)40.6%
Missing83
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean123.3379
Minimum0
Maximum8555
Zeros53
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:28.079597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q355.5
95-th percentile402.9
Maximum8555
Range8555
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation624.32658
Coefficient of variation (CV)5.06192
Kurtosis154.71156
Mean123.3379
Median Absolute Deviation (MAD)10
Skewness11.72773
Sum27011
Variance389783.67
MonotonicityNot monotonic
2024-03-30T07:11:28.916136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
17.5%
1 15
 
5.0%
2 10
 
3.3%
5 7
 
2.3%
4 7
 
2.3%
3 5
 
1.7%
13 4
 
1.3%
6 4
 
1.3%
42 4
 
1.3%
17 3
 
1.0%
Other values (79) 107
35.4%
(Missing) 83
27.5%
ValueCountFrequency (%)
0 53
17.5%
1 15
 
5.0%
2 10
 
3.3%
3 5
 
1.7%
4 7
 
2.3%
5 7
 
2.3%
6 4
 
1.3%
7 2
 
0.7%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
8555 1
0.3%
2033 1
0.3%
1905 1
0.3%
1580 1
0.3%
827 1
0.3%
816 1
0.3%
804 1
0.3%
729 1
0.3%
701 1
0.3%
514 1
0.3%

2010-04
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)38.1%
Missing79
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean109.01794
Minimum0
Maximum7839
Zeros59
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:29.509748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q337.5
95-th percentile434.6
Maximum7839
Range7839
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation560.31567
Coefficient of variation (CV)5.1396649
Kurtosis165.77184
Mean109.01794
Median Absolute Deviation (MAD)11
Skewness12.25608
Sum24311
Variance313953.65
MonotonicityNot monotonic
2024-03-30T07:11:30.717782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
19.5%
1 9
 
3.0%
8 8
 
2.6%
2 7
 
2.3%
3 7
 
2.3%
6 7
 
2.3%
27 6
 
2.0%
21 6
 
2.0%
4 6
 
2.0%
11 5
 
1.7%
Other values (75) 103
34.1%
(Missing) 79
26.2%
ValueCountFrequency (%)
0 59
19.5%
1 9
 
3.0%
2 7
 
2.3%
3 7
 
2.3%
4 6
 
2.0%
5 3
 
1.0%
6 7
 
2.3%
7 4
 
1.3%
8 8
 
2.6%
9 1
 
0.3%
ValueCountFrequency (%)
7839 1
0.3%
2321 1
0.3%
885 1
0.3%
798 1
0.3%
758 1
0.3%
684 1
0.3%
655 1
0.3%
567 1
0.3%
512 1
0.3%
475 1
0.3%

2010-05
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)38.9%
Missing73
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean116.99563
Minimum0
Maximum9062
Zeros64
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:31.504117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q341
95-th percentile393.6
Maximum9062
Range9062
Interquartile range (IQR)41

Descriptive statistics

Standard deviation634.46813
Coefficient of variation (CV)5.423007
Kurtosis175.29652
Mean116.99563
Median Absolute Deviation (MAD)7
Skewness12.592762
Sum26792
Variance402549.81
MonotonicityNot monotonic
2024-03-30T07:11:32.246382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
21.2%
2 14
 
4.6%
1 11
 
3.6%
3 8
 
2.6%
5 7
 
2.3%
7 6
 
2.0%
17 5
 
1.7%
4 5
 
1.7%
23 4
 
1.3%
16 4
 
1.3%
Other values (79) 101
33.4%
(Missing) 73
24.2%
ValueCountFrequency (%)
0 64
21.2%
1 11
 
3.6%
2 14
 
4.6%
3 8
 
2.6%
4 5
 
1.7%
5 7
 
2.3%
6 3
 
1.0%
7 6
 
2.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
9062 1
0.3%
1870 1
0.3%
1464 1
0.3%
1065 1
0.3%
975 1
0.3%
942 1
0.3%
919 1
0.3%
899 1
0.3%
840 1
0.3%
492 1
0.3%

2010-06
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)39.7%
Missing70
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean133.30172
Minimum0
Maximum10047
Zeros65
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:32.692571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q352.25
95-th percentile558.85
Maximum10047
Range10047
Interquartile range (IQR)52.25

Descriptive statistics

Standard deviation701.70986
Coefficient of variation (CV)5.2640719
Kurtosis175.05104
Mean133.30172
Median Absolute Deviation (MAD)10
Skewness12.611848
Sum30926
Variance492396.72
MonotonicityNot monotonic
2024-03-30T07:11:33.307488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
21.5%
1 14
 
4.6%
7 9
 
3.0%
15 8
 
2.6%
6 6
 
2.0%
2 6
 
2.0%
4 5
 
1.7%
10 5
 
1.7%
17 5
 
1.7%
14 4
 
1.3%
Other values (82) 105
34.8%
(Missing) 70
23.2%
ValueCountFrequency (%)
0 65
21.5%
1 14
 
4.6%
2 6
 
2.0%
3 3
 
1.0%
4 5
 
1.7%
5 1
 
0.3%
6 6
 
2.0%
7 9
 
3.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
10047 1
0.3%
2883 1
0.3%
948 1
0.3%
946 1
0.3%
880 1
0.3%
854 1
0.3%
757 1
0.3%
732 1
0.3%
712 1
0.3%
652 1
0.3%

2010-07
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)37.9%
Missing67
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean135.08085
Minimum0
Maximum9768
Zeros64
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:33.894351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q347.5
95-th percentile528.6
Maximum9768
Range9768
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation682.6725
Coefficient of variation (CV)5.0538066
Kurtosis171.63167
Mean135.08085
Median Absolute Deviation (MAD)7
Skewness12.386075
Sum31744
Variance466041.74
MonotonicityNot monotonic
2024-03-30T07:11:34.453107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
21.2%
1 16
 
5.3%
3 11
 
3.6%
2 9
 
3.0%
4 7
 
2.3%
7 6
 
2.0%
8 6
 
2.0%
5 5
 
1.7%
6 4
 
1.3%
31 4
 
1.3%
Other values (79) 103
34.1%
(Missing) 67
22.2%
ValueCountFrequency (%)
0 64
21.2%
1 16
 
5.3%
2 9
 
3.0%
3 11
 
3.6%
4 7
 
2.3%
5 5
 
1.7%
6 4
 
1.3%
7 6
 
2.0%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
9768 1
0.3%
2601 1
0.3%
1188 1
0.3%
1176 1
0.3%
1036 1
0.3%
985 1
0.3%
941 2
0.7%
836 1
0.3%
759 1
0.3%
702 1
0.3%

2010-08
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)42.1%
Missing62
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean124.525
Minimum0
Maximum9521
Zeros62
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:34.968179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q368.25
95-th percentile385.8
Maximum9521
Range9521
Interquartile range (IQR)68.25

Descriptive statistics

Standard deviation657.74586
Coefficient of variation (CV)5.2820387
Kurtosis177.61652
Mean124.525
Median Absolute Deviation (MAD)12
Skewness12.740546
Sum29886
Variance432629.62
MonotonicityNot monotonic
2024-03-30T07:11:35.384070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
20.5%
1 13
 
4.3%
2 11
 
3.6%
4 6
 
2.0%
3 6
 
2.0%
12 6
 
2.0%
8 5
 
1.7%
5 4
 
1.3%
6 4
 
1.3%
19 4
 
1.3%
Other values (91) 119
39.4%
(Missing) 62
20.5%
ValueCountFrequency (%)
0 62
20.5%
1 13
 
4.3%
2 11
 
3.6%
3 6
 
2.0%
4 6
 
2.0%
5 4
 
1.3%
6 4
 
1.3%
7 3
 
1.0%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
9521 1
0.3%
3146 1
0.3%
1153 1
0.3%
795 1
0.3%
704 1
0.3%
679 1
0.3%
626 1
0.3%
597 1
0.3%
554 2
0.7%
442 1
0.3%

2010-09
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)37.0%
Missing59
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean102.0535
Minimum0
Maximum7858
Zeros72
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:35.926133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q345
95-th percentile378.6
Maximum7858
Range7858
Interquartile range (IQR)45

Descriptive statistics

Standard deviation549.38164
Coefficient of variation (CV)5.383271
Kurtosis168.03142
Mean102.0535
Median Absolute Deviation (MAD)9
Skewness12.306105
Sum24799
Variance301820.18
MonotonicityNot monotonic
2024-03-30T07:11:36.533298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
23.8%
1 19
 
6.3%
5 7
 
2.3%
4 7
 
2.3%
9 5
 
1.7%
2 5
 
1.7%
17 5
 
1.7%
13 5
 
1.7%
10 4
 
1.3%
16 4
 
1.3%
Other values (80) 110
36.4%
(Missing) 59
19.5%
ValueCountFrequency (%)
0 72
23.8%
1 19
 
6.3%
2 5
 
1.7%
3 1
 
0.3%
4 7
 
2.3%
5 7
 
2.3%
6 2
 
0.7%
7 3
 
1.0%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
7858 1
0.3%
2873 1
0.3%
885 1
0.3%
794 1
0.3%
764 1
0.3%
745 1
0.3%
689 1
0.3%
664 1
0.3%
650 1
0.3%
406 1
0.3%

2010-10
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)36.7%
Missing57
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean140.25306
Minimum0
Maximum10656
Zeros71
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:37.294854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q341
95-th percentile459.2
Maximum10656
Range10656
Interquartile range (IQR)41

Descriptive statistics

Standard deviation737.96289
Coefficient of variation (CV)5.2616526
Kurtosis171.6043
Mean140.25306
Median Absolute Deviation (MAD)10
Skewness12.355322
Sum34362
Variance544589.22
MonotonicityNot monotonic
2024-03-30T07:11:37.932006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
23.5%
1 10
 
3.3%
4 8
 
2.6%
2 8
 
2.6%
5 7
 
2.3%
11 6
 
2.0%
3 6
 
2.0%
10 5
 
1.7%
6 4
 
1.3%
27 4
 
1.3%
Other values (80) 116
38.4%
(Missing) 57
18.9%
ValueCountFrequency (%)
0 71
23.5%
1 10
 
3.3%
2 8
 
2.6%
3 6
 
2.0%
4 8
 
2.6%
5 7
 
2.3%
6 4
 
1.3%
7 3
 
1.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
10656 1
0.3%
3237 1
0.3%
1488 1
0.3%
1482 1
0.3%
1152 1
0.3%
1104 1
0.3%
1087 1
0.3%
1061 1
0.3%
1023 1
0.3%
640 1
0.3%

2010-11
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)40.0%
Missing52
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean144.24
Minimum0
Maximum11376
Zeros63
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:38.516024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median12
Q362
95-th percentile529.6
Maximum11376
Range11376
Interquartile range (IQR)61.75

Descriptive statistics

Standard deviation792.08314
Coefficient of variation (CV)5.491425
Kurtosis167.10688
Mean144.24
Median Absolute Deviation (MAD)12
Skewness12.267108
Sum36060
Variance627395.7
MonotonicityNot monotonic
2024-03-30T07:11:39.068283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
20.9%
3 13
 
4.3%
2 8
 
2.6%
1 7
 
2.3%
7 6
 
2.0%
4 6
 
2.0%
10 5
 
1.7%
22 5
 
1.7%
12 4
 
1.3%
8 4
 
1.3%
Other values (90) 129
42.7%
(Missing) 52
17.2%
ValueCountFrequency (%)
0 63
20.9%
1 7
 
2.3%
2 8
 
2.6%
3 13
 
4.3%
4 6
 
2.0%
5 4
 
1.3%
6 3
 
1.0%
7 6
 
2.0%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
11376 1
0.3%
4491 1
0.3%
1441 1
0.3%
1440 1
0.3%
1028 1
0.3%
941 1
0.3%
856 1
0.3%
852 1
0.3%
801 1
0.3%
730 1
0.3%

2010-12
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)42.9%
Missing50
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean158.72619
Minimum0
Maximum12124
Zeros62
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:39.821279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q373.25
95-th percentile524.9
Maximum12124
Range12124
Interquartile range (IQR)72.25

Descriptive statistics

Standard deviation838.82915
Coefficient of variation (CV)5.2847558
Kurtosis168.96045
Mean158.72619
Median Absolute Deviation (MAD)13
Skewness12.294147
Sum39999
Variance703634.34
MonotonicityNot monotonic
2024-03-30T07:11:40.396721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
20.5%
1 17
 
5.6%
5 8
 
2.6%
10 6
 
2.0%
14 5
 
1.7%
16 5
 
1.7%
4 5
 
1.7%
2 4
 
1.3%
6 4
 
1.3%
8 4
 
1.3%
Other values (98) 132
43.7%
(Missing) 50
 
16.6%
ValueCountFrequency (%)
0 62
20.5%
1 17
 
5.6%
2 4
 
1.3%
3 3
 
1.0%
4 5
 
1.7%
5 8
 
2.6%
6 4
 
1.3%
7 2
 
0.7%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
12124 1
0.3%
4496 1
0.3%
1960 1
0.3%
1421 1
0.3%
1350 1
0.3%
1348 1
0.3%
1099 1
0.3%
717 1
0.3%
648 1
0.3%
634 1
0.3%

2011-01
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)40.7%
Missing49
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean188.32806
Minimum0
Maximum14266
Zeros78
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:40.855947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q353
95-th percentile728.2
Maximum14266
Range14266
Interquartile range (IQR)53

Descriptive statistics

Standard deviation1016.8855
Coefficient of variation (CV)5.399543
Kurtosis151.9505
Mean188.32806
Median Absolute Deviation (MAD)9
Skewness11.606781
Sum47647
Variance1034056.1
MonotonicityNot monotonic
2024-03-30T07:11:41.475629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
25.8%
1 15
 
5.0%
6 7
 
2.3%
8 6
 
2.0%
4 6
 
2.0%
10 5
 
1.7%
2 5
 
1.7%
20 4
 
1.3%
11 4
 
1.3%
9 4
 
1.3%
Other values (93) 119
39.4%
(Missing) 49
16.2%
ValueCountFrequency (%)
0 78
25.8%
1 15
 
5.0%
2 5
 
1.7%
3 3
 
1.0%
4 6
 
2.0%
5 3
 
1.0%
6 7
 
2.3%
7 2
 
0.7%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
14266 1
0.3%
6368 1
0.3%
2120 1
0.3%
2114 1
0.3%
2105 1
0.3%
1161 1
0.3%
1069 1
0.3%
1053 1
0.3%
1050 1
0.3%
1037 1
0.3%

2011-02
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)30.6%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean85.141176
Minimum0
Maximum6846
Zeros87
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:42.189647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q329
95-th percentile293.8
Maximum6846
Range6846
Interquartile range (IQR)29

Descriptive statistics

Standard deviation478.24948
Coefficient of variation (CV)5.6171349
Kurtosis162.93772
Mean85.141176
Median Absolute Deviation (MAD)5
Skewness12.095912
Sum21711
Variance228722.56
MonotonicityNot monotonic
2024-03-30T07:11:42.668471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 87
28.8%
1 18
 
6.0%
6 10
 
3.3%
3 9
 
3.0%
2 8
 
2.6%
5 7
 
2.3%
8 6
 
2.0%
10 5
 
1.7%
12 5
 
1.7%
18 5
 
1.7%
Other values (68) 95
31.5%
(Missing) 47
15.6%
ValueCountFrequency (%)
0 87
28.8%
1 18
 
6.0%
2 8
 
2.6%
3 9
 
3.0%
4 2
 
0.7%
5 7
 
2.3%
6 10
 
3.3%
7 1
 
0.3%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
6846 1
0.3%
2899 1
0.3%
1125 1
0.3%
928 1
0.3%
698 1
0.3%
455 1
0.3%
431 1
0.3%
426 1
0.3%
406 1
0.3%
352 1
0.3%

2011-03
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)39.2%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean151.83922
Minimum0
Maximum12062
Zeros81
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:43.309539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q359
95-th percentile590.6
Maximum12062
Range12062
Interquartile range (IQR)59

Descriptive statistics

Standard deviation807.97046
Coefficient of variation (CV)5.3212239
Kurtosis188.70958
Mean151.83922
Median Absolute Deviation (MAD)10
Skewness13.070803
Sum38719
Variance652816.27
MonotonicityNot monotonic
2024-03-30T07:11:43.947453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
26.8%
1 12
 
4.0%
3 9
 
3.0%
4 7
 
2.3%
13 5
 
1.7%
2 5
 
1.7%
11 4
 
1.3%
7 4
 
1.3%
54 3
 
1.0%
19 3
 
1.0%
Other values (90) 122
40.4%
(Missing) 47
 
15.6%
ValueCountFrequency (%)
0 81
26.8%
1 12
 
4.0%
2 5
 
1.7%
3 9
 
3.0%
4 7
 
2.3%
5 2
 
0.7%
6 3
 
1.0%
7 4
 
1.3%
8 1
 
0.3%
9 2
 
0.7%
ValueCountFrequency (%)
12062 1
0.3%
3584 1
0.3%
1851 1
0.3%
1091 1
0.3%
915 1
0.3%
906 1
0.3%
702 1
0.3%
701 1
0.3%
698 1
0.3%
693 1
0.3%

2011-04
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)41.0%
Missing46
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean128.33203
Minimum0
Maximum9882
Zeros74
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:44.333638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.5
Q351.25
95-th percentile505.75
Maximum9882
Range9882
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation677.84952
Coefficient of variation (CV)5.2819979
Kurtosis172.5565
Mean128.33203
Median Absolute Deviation (MAD)8.5
Skewness12.446172
Sum32853
Variance459479.97
MonotonicityNot monotonic
2024-03-30T07:11:44.870822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74
24.5%
1 19
 
6.3%
2 11
 
3.6%
3 6
 
2.0%
5 5
 
1.7%
7 5
 
1.7%
21 4
 
1.3%
22 4
 
1.3%
6 4
 
1.3%
10 3
 
1.0%
Other values (95) 121
40.1%
(Missing) 46
 
15.2%
ValueCountFrequency (%)
0 74
24.5%
1 19
 
6.3%
2 11
 
3.6%
3 6
 
2.0%
4 3
 
1.0%
5 5
 
1.7%
6 4
 
1.3%
7 5
 
1.7%
8 1
 
0.3%
9 2
 
0.7%
ValueCountFrequency (%)
9882 1
0.3%
3788 1
0.3%
1183 1
0.3%
1061 1
0.3%
1000 1
0.3%
891 1
0.3%
787 1
0.3%
715 1
0.3%
580 1
0.3%
575 1
0.3%

2011-05
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)39.5%
Missing46
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean133.17578
Minimum0
Maximum10847
Zeros71
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:45.287735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q357.25
95-th percentile356
Maximum10847
Range10847
Interquartile range (IQR)57.25

Descriptive statistics

Standard deviation742.67577
Coefficient of variation (CV)5.5766579
Kurtosis173.12992
Mean133.17578
Median Absolute Deviation (MAD)9
Skewness12.429351
Sum34093
Variance551567.3
MonotonicityNot monotonic
2024-03-30T07:11:45.847335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
23.5%
1 14
 
4.6%
3 12
 
4.0%
6 8
 
2.6%
2 8
 
2.6%
32 6
 
2.0%
9 6
 
2.0%
8 4
 
1.3%
12 4
 
1.3%
10 4
 
1.3%
Other values (91) 119
39.4%
(Missing) 46
 
15.2%
ValueCountFrequency (%)
0 71
23.5%
1 14
 
4.6%
2 8
 
2.6%
3 12
 
4.0%
4 3
 
1.0%
5 2
 
0.7%
6 8
 
2.6%
7 2
 
0.7%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
10847 1
0.3%
3402 1
0.3%
2867 1
0.3%
1160 1
0.3%
976 1
0.3%
936 1
0.3%
874 1
0.3%
847 1
0.3%
742 1
0.3%
528 1
0.3%

2011-06
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)33.9%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean94.420233
Minimum0
Maximum7400
Zeros81
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:46.332838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q342
95-th percentile323.6
Maximum7400
Range7400
Interquartile range (IQR)42

Descriptive statistics

Standard deviation502.07762
Coefficient of variation (CV)5.3174791
Kurtosis178.16167
Mean94.420233
Median Absolute Deviation (MAD)6
Skewness12.609785
Sum24266
Variance252081.93
MonotonicityNot monotonic
2024-03-30T07:11:47.373840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
26.8%
1 22
 
7.3%
4 10
 
3.3%
6 5
 
1.7%
7 5
 
1.7%
3 5
 
1.7%
5 5
 
1.7%
14 4
 
1.3%
13 4
 
1.3%
10 4
 
1.3%
Other values (77) 112
37.1%
(Missing) 45
14.9%
ValueCountFrequency (%)
0 81
26.8%
1 22
 
7.3%
2 3
 
1.0%
3 5
 
1.7%
4 10
 
3.3%
5 5
 
1.7%
6 5
 
1.7%
7 5
 
1.7%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
7400 1
0.3%
2379 1
0.3%
1299 1
0.3%
993 1
0.3%
916 1
0.3%
833 1
0.3%
493 1
0.3%
449 1
0.3%
442 1
0.3%
365 1
0.3%

2011-07
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)32.9%
Missing44
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean95.151163
Minimum0
Maximum7803
Zeros81
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:48.084562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q332.75
95-th percentile412.35
Maximum7803
Range7803
Interquartile range (IQR)32.75

Descriptive statistics

Standard deviation522.23161
Coefficient of variation (CV)5.4884417
Kurtosis186.75449
Mean95.151163
Median Absolute Deviation (MAD)6
Skewness12.896968
Sum24549
Variance272725.86
MonotonicityNot monotonic
2024-03-30T07:11:48.729718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
26.8%
1 16
 
5.3%
10 9
 
3.0%
3 9
 
3.0%
2 8
 
2.6%
5 7
 
2.3%
4 6
 
2.0%
8 4
 
1.3%
14 4
 
1.3%
26 4
 
1.3%
Other values (75) 110
36.4%
(Missing) 44
 
14.6%
ValueCountFrequency (%)
0 81
26.8%
1 16
 
5.3%
2 8
 
2.6%
3 9
 
3.0%
4 6
 
2.0%
5 7
 
2.3%
6 4
 
1.3%
7 2
 
0.7%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
7803 1
0.3%
1824 1
0.3%
1390 1
0.3%
1170 1
0.3%
958 1
0.3%
942 1
0.3%
722 1
0.3%
625 1
0.3%
568 1
0.3%
547 1
0.3%

2011-08
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)33.3%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean102.10345
Minimum0
Maximum8264
Zeros87
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:49.364510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q335
95-th percentile413
Maximum8264
Range8264
Interquartile range (IQR)35

Descriptive statistics

Standard deviation555.31558
Coefficient of variation (CV)5.4387544
Kurtosis182.02901
Mean102.10345
Median Absolute Deviation (MAD)6
Skewness12.705209
Sum26649
Variance308375.39
MonotonicityNot monotonic
2024-03-30T07:11:49.967304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 87
28.8%
2 15
 
5.0%
1 13
 
4.3%
7 7
 
2.3%
9 5
 
1.7%
6 5
 
1.7%
3 5
 
1.7%
4 5
 
1.7%
66 5
 
1.7%
5 5
 
1.7%
Other values (77) 109
36.1%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 87
28.8%
1 13
 
4.3%
2 15
 
5.0%
3 5
 
1.7%
4 5
 
1.7%
5 5
 
1.7%
6 5
 
1.7%
7 7
 
2.3%
8 1
 
0.3%
9 5
 
1.7%
ValueCountFrequency (%)
8264 1
0.3%
2378 1
0.3%
1544 1
0.3%
1117 1
0.3%
936 1
0.3%
787 1
0.3%
749 1
0.3%
721 1
0.3%
711 1
0.3%
558 1
0.3%

2011-09
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)34.9%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean76.984674
Minimum0
Maximum6417
Zeros83
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:50.443975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q337
95-th percentile218
Maximum6417
Range6417
Interquartile range (IQR)37

Descriptive statistics

Standard deviation426.18014
Coefficient of variation (CV)5.5359089
Kurtosis191.34282
Mean76.984674
Median Absolute Deviation (MAD)5
Skewness13.174038
Sum20093
Variance181629.52
MonotonicityNot monotonic
2024-03-30T07:11:51.035189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83
27.5%
1 17
 
5.6%
2 16
 
5.3%
4 10
 
3.3%
15 6
 
2.0%
12 6
 
2.0%
13 5
 
1.7%
5 4
 
1.3%
21 4
 
1.3%
7 4
 
1.3%
Other values (81) 106
35.1%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 83
27.5%
1 17
 
5.6%
2 16
 
5.3%
3 4
 
1.3%
4 10
 
3.3%
5 4
 
1.3%
6 1
 
0.3%
7 4
 
1.3%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
6417 1
0.3%
1891 1
0.3%
1335 1
0.3%
570 1
0.3%
523 1
0.3%
455 1
0.3%
357 1
0.3%
353 1
0.3%
311 1
0.3%
305 1
0.3%

2011-10
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)35.2%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean115.68966
Minimum0
Maximum9692
Zeros91
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:51.648553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q340
95-th percentile424
Maximum9692
Range9692
Interquartile range (IQR)40

Descriptive statistics

Standard deviation648.20632
Coefficient of variation (CV)5.6029756
Kurtosis186.00349
Mean115.68966
Median Absolute Deviation (MAD)5
Skewness12.914878
Sum30195
Variance420171.43
MonotonicityNot monotonic
2024-03-30T07:11:52.314755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
30.1%
2 12
 
4.0%
1 9
 
3.0%
3 9
 
3.0%
7 7
 
2.3%
4 7
 
2.3%
15 5
 
1.7%
14 5
 
1.7%
17 4
 
1.3%
9 4
 
1.3%
Other values (82) 108
35.8%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 91
30.1%
1 9
 
3.0%
2 12
 
4.0%
3 9
 
3.0%
4 7
 
2.3%
5 4
 
1.3%
6 4
 
1.3%
7 7
 
2.3%
8 2
 
0.7%
9 4
 
1.3%
ValueCountFrequency (%)
9692 1
0.3%
2849 1
0.3%
1906 1
0.3%
1155 1
0.3%
1153 1
0.3%
1004 1
0.3%
586 1
0.3%
535 1
0.3%
495 1
0.3%
493 1
0.3%

2011-11
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)37.2%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean111.75096
Minimum0
Maximum9372
Zeros85
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:52.768088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q347
95-th percentile343
Maximum9372
Range9372
Interquartile range (IQR)47

Descriptive statistics

Standard deviation620.669
Coefficient of variation (CV)5.5540374
Kurtosis192.68354
Mean111.75096
Median Absolute Deviation (MAD)6
Skewness13.14124
Sum29167
Variance385230.01
MonotonicityNot monotonic
2024-03-30T07:11:53.403572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
28.1%
1 15
 
5.0%
2 9
 
3.0%
4 8
 
2.6%
5 7
 
2.3%
10 6
 
2.0%
17 5
 
1.7%
12 4
 
1.3%
8 4
 
1.3%
6 4
 
1.3%
Other values (87) 114
37.7%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 85
28.1%
1 15
 
5.0%
2 9
 
3.0%
3 3
 
1.0%
4 8
 
2.6%
5 7
 
2.3%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
9 1
 
0.3%
ValueCountFrequency (%)
9372 1
0.3%
1891 1
0.3%
1863 1
0.3%
1407 1
0.3%
1393 1
0.3%
965 1
0.3%
750 1
0.3%
721 1
0.3%
666 1
0.3%
600 1
0.3%

2011-12
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)42.4%
Missing40
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean157.92748
Minimum0
Maximum12978
Zeros66
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:54.224600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median9
Q370
95-th percentile516.85
Maximum12978
Range12978
Interquartile range (IQR)69.75

Descriptive statistics

Standard deviation854.95024
Coefficient of variation (CV)5.4135622
Kurtosis195.95515
Mean157.92748
Median Absolute Deviation (MAD)9
Skewness13.289082
Sum41377
Variance730939.91
MonotonicityNot monotonic
2024-03-30T07:11:55.206258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66
21.9%
1 18
 
6.0%
2 14
 
4.6%
3 10
 
3.3%
4 8
 
2.6%
6 5
 
1.7%
28 4
 
1.3%
8 4
 
1.3%
60 3
 
1.0%
29 3
 
1.0%
Other values (101) 127
42.1%
(Missing) 40
 
13.2%
ValueCountFrequency (%)
0 66
21.9%
1 18
 
6.0%
2 14
 
4.6%
3 10
 
3.3%
4 8
 
2.6%
5 3
 
1.0%
6 5
 
1.7%
7 2
 
0.7%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
12978 1
0.3%
3029 1
0.3%
2185 1
0.3%
2178 1
0.3%
1192 1
0.3%
1104 1
0.3%
1061 1
0.3%
992 1
0.3%
935 1
0.3%
658 1
0.3%

2012-01
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)33.5%
Missing39
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean100.96198
Minimum0
Maximum8403
Zeros98
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:56.192955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q337
95-th percentile362.2
Maximum8403
Range8403
Interquartile range (IQR)37

Descriptive statistics

Standard deviation557.83305
Coefficient of variation (CV)5.5251795
Kurtosis189.50479
Mean100.96198
Median Absolute Deviation (MAD)3
Skewness12.999928
Sum26553
Variance311177.71
MonotonicityNot monotonic
2024-03-30T07:11:56.829592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
32.5%
1 18
 
6.0%
2 10
 
3.3%
4 9
 
3.0%
5 7
 
2.3%
3 6
 
2.0%
6 4
 
1.3%
8 4
 
1.3%
7 4
 
1.3%
26 4
 
1.3%
Other values (78) 99
32.8%
(Missing) 39
 
12.9%
ValueCountFrequency (%)
0 98
32.5%
1 18
 
6.0%
2 10
 
3.3%
3 6
 
2.0%
4 9
 
3.0%
5 7
 
2.3%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
8403 1
0.3%
2081 1
0.3%
1478 1
0.3%
1414 1
0.3%
1137 1
0.3%
818 1
0.3%
583 1
0.3%
580 1
0.3%
577 1
0.3%
512 1
0.3%

2012-02
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)33.5%
Missing39
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean102.60456
Minimum0
Maximum8628
Zeros85
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:57.804880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q341
95-th percentile267.6
Maximum8628
Range8628
Interquartile range (IQR)41

Descriptive statistics

Standard deviation570.60587
Coefficient of variation (CV)5.5612135
Kurtosis192.2013
Mean102.60456
Median Absolute Deviation (MAD)4
Skewness13.091476
Sum26985
Variance325591.06
MonotonicityNot monotonic
2024-03-30T07:11:58.706769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
28.1%
1 20
 
6.6%
4 10
 
3.3%
3 9
 
3.0%
2 9
 
3.0%
5 6
 
2.0%
20 4
 
1.3%
15 4
 
1.3%
12 4
 
1.3%
7 3
 
1.0%
Other values (78) 109
36.1%
(Missing) 39
 
12.9%
ValueCountFrequency (%)
0 85
28.1%
1 20
 
6.6%
2 9
 
3.0%
3 9
 
3.0%
4 10
 
3.3%
5 6
 
2.0%
6 2
 
0.7%
7 3
 
1.0%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
8628 1
0.3%
1715 1
0.3%
1513 1
0.3%
1437 1
0.3%
1154 1
0.3%
1038 1
0.3%
1033 1
0.3%
763 1
0.3%
733 1
0.3%
620 1
0.3%

2012-03
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)32.6%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean124.51515
Minimum0
Maximum10588
Zeros79
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:11:59.225126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q336
95-th percentile414.5
Maximum10588
Range10588
Interquartile range (IQR)36

Descriptive statistics

Standard deviation721.61972
Coefficient of variation (CV)5.795437
Kurtosis171.77143
Mean124.51515
Median Absolute Deviation (MAD)6
Skewness12.326369
Sum32872
Variance520735.02
MonotonicityNot monotonic
2024-03-30T07:11:59.984597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79
26.2%
1 21
 
7.0%
2 12
 
4.0%
4 8
 
2.6%
5 8
 
2.6%
16 6
 
2.0%
15 5
 
1.7%
6 5
 
1.7%
19 4
 
1.3%
26 4
 
1.3%
Other values (76) 112
37.1%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 79
26.2%
1 21
 
7.0%
2 12
 
4.0%
3 3
 
1.0%
4 8
 
2.6%
5 8
 
2.6%
6 5
 
1.7%
7 3
 
1.0%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
10588 1
0.3%
3753 1
0.3%
2046 1
0.3%
1596 1
0.3%
1559 1
0.3%
1281 1
0.3%
956 1
0.3%
695 1
0.3%
662 1
0.3%
571 1
0.3%

2012-04
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)35.5%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean144.47547
Minimum0
Maximum12083
Zeros80
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:00.580551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q338
95-th percentile681.2
Maximum12083
Range12083
Interquartile range (IQR)38

Descriptive statistics

Standard deviation789.54332
Coefficient of variation (CV)5.4648952
Kurtosis200.09405
Mean144.47547
Median Absolute Deviation (MAD)6
Skewness13.41127
Sum38286
Variance623378.65
MonotonicityNot monotonic
2024-03-30T07:12:01.144477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
26.5%
1 17
 
5.6%
6 12
 
4.0%
2 9
 
3.0%
3 8
 
2.6%
5 6
 
2.0%
14 5
 
1.7%
9 5
 
1.7%
11 4
 
1.3%
10 4
 
1.3%
Other values (84) 115
38.1%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 80
26.5%
1 17
 
5.6%
2 9
 
3.0%
3 8
 
2.6%
4 2
 
0.7%
5 6
 
2.0%
6 12
 
4.0%
7 4
 
1.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
12083 1
0.3%
2706 1
0.3%
1647 1
0.3%
1405 1
0.3%
1370 1
0.3%
1152 1
0.3%
1128 1
0.3%
917 1
0.3%
902 1
0.3%
801 1
0.3%

2012-05
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)35.9%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean117.40659
Minimum0
Maximum10051
Zeros86
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:01.668924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q351
95-th percentile428.4
Maximum10051
Range10051
Interquartile range (IQR)51

Descriptive statistics

Standard deviation657.36469
Coefficient of variation (CV)5.599044
Kurtosis194.21269
Mean117.40659
Median Absolute Deviation (MAD)5
Skewness13.162992
Sum32052
Variance432128.33
MonotonicityNot monotonic
2024-03-30T07:12:02.356529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86
28.5%
1 21
 
7.0%
2 16
 
5.3%
13 7
 
2.3%
4 6
 
2.0%
6 5
 
1.7%
5 5
 
1.7%
3 5
 
1.7%
11 4
 
1.3%
54 4
 
1.3%
Other values (88) 114
37.7%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 86
28.5%
1 21
 
7.0%
2 16
 
5.3%
3 5
 
1.7%
4 6
 
2.0%
5 5
 
1.7%
6 5
 
1.7%
7 2
 
0.7%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
10051 1
0.3%
2680 1
0.3%
1985 1
0.3%
1525 1
0.3%
1416 1
0.3%
868 1
0.3%
837 1
0.3%
680 1
0.3%
585 1
0.3%
500 1
0.3%

2012-06
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)30.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean68.828467
Minimum0
Maximum6041
Zeros100
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:02.901031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q329.75
95-th percentile232.25
Maximum6041
Range6041
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation392.76486
Coefficient of variation (CV)5.7064305
Kurtosis198.28931
Mean68.828467
Median Absolute Deviation (MAD)3.5
Skewness13.332352
Sum18859
Variance154264.24
MonotonicityNot monotonic
2024-03-30T07:12:03.602850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
33.1%
2 17
 
5.6%
1 12
 
4.0%
3 8
 
2.6%
5 6
 
2.0%
18 5
 
1.7%
8 5
 
1.7%
7 5
 
1.7%
6 5
 
1.7%
4 5
 
1.7%
Other values (73) 106
35.1%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 100
33.1%
1 12
 
4.0%
2 17
 
5.6%
3 8
 
2.6%
4 5
 
1.7%
5 6
 
2.0%
6 5
 
1.7%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
6041 1
0.3%
1495 1
0.3%
1340 1
0.3%
832 1
0.3%
732 1
0.3%
456 1
0.3%
451 2
0.7%
396 1
0.3%
363 1
0.3%
312 1
0.3%

2012-07
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)31.3%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean102.95273
Minimum0
Maximum8992
Zeros91
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:04.043105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q332.5
95-th percentile465.7
Maximum8992
Range8992
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation585.65133
Coefficient of variation (CV)5.6885461
Kurtosis195.96892
Mean102.95273
Median Absolute Deviation (MAD)5
Skewness13.198497
Sum28312
Variance342987.48
MonotonicityNot monotonic
2024-03-30T07:12:04.690115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
30.1%
1 21
 
7.0%
2 13
 
4.3%
5 10
 
3.3%
3 8
 
2.6%
8 7
 
2.3%
7 7
 
2.3%
14 6
 
2.0%
12 5
 
1.7%
9 5
 
1.7%
Other values (76) 102
33.8%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 91
30.1%
1 21
 
7.0%
2 13
 
4.3%
3 8
 
2.6%
4 4
 
1.3%
5 10
 
3.3%
6 3
 
1.0%
7 7
 
2.3%
8 7
 
2.3%
9 5
 
1.7%
ValueCountFrequency (%)
8992 1
0.3%
1967 1
0.3%
1935 1
0.3%
1782 1
0.3%
848 1
0.3%
702 1
0.3%
647 1
0.3%
638 1
0.3%
603 1
0.3%
573 1
0.3%

2012-08
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.9%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean93.654545
Minimum0
Maximum8232
Zeros91
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:05.396775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q324.5
95-th percentile291.7
Maximum8232
Range8232
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation540.34111
Coefficient of variation (CV)5.769513
Kurtosis190.37353
Mean93.654545
Median Absolute Deviation (MAD)4
Skewness12.988373
Sum25755
Variance291968.52
MonotonicityNot monotonic
2024-03-30T07:12:06.363549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
30.1%
1 24
 
7.9%
3 14
 
4.6%
4 9
 
3.0%
6 7
 
2.3%
8 6
 
2.0%
2 6
 
2.0%
5 6
 
2.0%
10 5
 
1.7%
9 5
 
1.7%
Other values (75) 102
33.8%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 91
30.1%
1 24
 
7.9%
2 6
 
2.0%
3 14
 
4.6%
4 9
 
3.0%
5 6
 
2.0%
6 7
 
2.3%
7 3
 
1.0%
8 6
 
2.0%
9 5
 
1.7%
ValueCountFrequency (%)
8232 1
0.3%
2113 1
0.3%
2013 1
0.3%
1097 1
0.3%
977 1
0.3%
909 1
0.3%
822 1
0.3%
730 1
0.3%
596 1
0.3%
519 1
0.3%

2012-09
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)30.2%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean104.52364
Minimum0
Maximum9356
Zeros96
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:07.214220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q330.5
95-th percentile243.7
Maximum9356
Range9356
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation649.85057
Coefficient of variation (CV)6.2172595
Kurtosis155.93962
Mean104.52364
Median Absolute Deviation (MAD)4
Skewness11.724471
Sum28744
Variance422305.77
MonotonicityNot monotonic
2024-03-30T07:12:07.732660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96
31.8%
1 20
 
6.6%
8 10
 
3.3%
3 9
 
3.0%
5 8
 
2.6%
2 7
 
2.3%
16 7
 
2.3%
4 6
 
2.0%
6 5
 
1.7%
13 5
 
1.7%
Other values (73) 102
33.8%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 96
31.8%
1 20
 
6.6%
2 7
 
2.3%
3 9
 
3.0%
4 6
 
2.0%
5 8
 
2.6%
6 5
 
1.7%
7 3
 
1.0%
8 10
 
3.3%
9 1
 
0.3%
ValueCountFrequency (%)
9356 1
0.3%
3786 1
0.3%
3108 1
0.3%
1714 1
0.3%
1353 1
0.3%
650 1
0.3%
600 1
0.3%
492 1
0.3%
447 1
0.3%
425 1
0.3%

2012-10
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)33.5%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean83.130909
Minimum0
Maximum7458
Zeros99
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:08.338203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336.5
95-th percentile246.8
Maximum7458
Range7458
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation481.00796
Coefficient of variation (CV)5.7861507
Kurtosis203.74986
Mean83.130909
Median Absolute Deviation (MAD)3
Skewness13.513542
Sum22861
Variance231368.66
MonotonicityNot monotonic
2024-03-30T07:12:08.977202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99
32.8%
1 26
 
8.6%
2 11
 
3.6%
7 7
 
2.3%
31 5
 
1.7%
3 4
 
1.3%
4 4
 
1.3%
23 4
 
1.3%
15 3
 
1.0%
6 3
 
1.0%
Other values (82) 109
36.1%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 99
32.8%
1 26
 
8.6%
2 11
 
3.6%
3 4
 
1.3%
4 4
 
1.3%
5 3
 
1.0%
6 3
 
1.0%
7 7
 
2.3%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
7458 1
0.3%
1479 1
0.3%
1310 1
0.3%
1078 1
0.3%
1048 1
0.3%
1039 1
0.3%
726 1
0.3%
692 1
0.3%
672 1
0.3%
295 1
0.3%

2012-11
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)31.3%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean100.63273
Minimum0
Maximum8908
Zeros103
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:09.615039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q327.5
95-th percentile260.3
Maximum8908
Range8908
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation584.16636
Coefficient of variation (CV)5.8049342
Kurtosis191.01805
Mean100.63273
Median Absolute Deviation (MAD)4
Skewness13.008063
Sum27674
Variance341250.34
MonotonicityNot monotonic
2024-03-30T07:12:10.203010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 103
34.1%
1 16
 
5.3%
4 11
 
3.6%
19 8
 
2.6%
2 8
 
2.6%
3 8
 
2.6%
8 7
 
2.3%
6 6
 
2.0%
27 5
 
1.7%
5 4
 
1.3%
Other values (76) 99
32.8%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 103
34.1%
1 16
 
5.3%
2 8
 
2.6%
3 8
 
2.6%
4 11
 
3.6%
5 4
 
1.3%
6 6
 
2.0%
7 3
 
1.0%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
8908 1
0.3%
2234 1
0.3%
2039 1
0.3%
1418 1
0.3%
1089 1
0.3%
1084 1
0.3%
929 1
0.3%
823 1
0.3%
572 1
0.3%
430 1
0.3%

2012-12
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)35.3%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean118.49455
Minimum0
Maximum10436
Zeros95
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:10.757462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q343
95-th percentile436.4
Maximum10436
Range10436
Interquartile range (IQR)43

Descriptive statistics

Standard deviation665.59675
Coefficient of variation (CV)5.6171088
Kurtosis212.82097
Mean118.49455
Median Absolute Deviation (MAD)5
Skewness13.890383
Sum32586
Variance443019.03
MonotonicityNot monotonic
2024-03-30T07:12:11.247580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
31.5%
1 15
 
5.0%
2 9
 
3.0%
3 9
 
3.0%
4 6
 
2.0%
5 6
 
2.0%
15 5
 
1.7%
9 5
 
1.7%
14 4
 
1.3%
20 4
 
1.3%
Other values (87) 117
38.7%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 95
31.5%
1 15
 
5.0%
2 9
 
3.0%
3 9
 
3.0%
4 6
 
2.0%
5 6
 
2.0%
6 3
 
1.0%
7 2
 
0.7%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
10436 1
0.3%
1879 1
0.3%
1860 1
0.3%
1563 1
0.3%
911 1
0.3%
902 1
0.3%
865 1
0.3%
718 1
0.3%
649 1
0.3%
620 1
0.3%

2013-01
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)32.6%
Missing26
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean83.945652
Minimum0
Maximum7378
Zeros105
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:11.987241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q333
95-th percentile244.5
Maximum7378
Range7378
Interquartile range (IQR)33

Descriptive statistics

Standard deviation488.89155
Coefficient of variation (CV)5.8239055
Kurtosis183.69646
Mean83.945652
Median Absolute Deviation (MAD)4
Skewness12.780304
Sum23169
Variance239014.95
MonotonicityNot monotonic
2024-03-30T07:12:12.586610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
34.8%
1 21
 
7.0%
6 7
 
2.3%
2 7
 
2.3%
10 5
 
1.7%
9 5
 
1.7%
14 5
 
1.7%
7 5
 
1.7%
4 4
 
1.3%
42 3
 
1.0%
Other values (80) 109
36.1%
(Missing) 26
 
8.6%
ValueCountFrequency (%)
0 105
34.8%
1 21
 
7.0%
2 7
 
2.3%
3 3
 
1.0%
4 4
 
1.3%
5 3
 
1.0%
6 7
 
2.3%
7 5
 
1.7%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
7378 1
0.3%
2366 1
0.3%
1909 1
0.3%
1088 1
0.3%
749 1
0.3%
716 1
0.3%
486 1
0.3%
453 1
0.3%
397 1
0.3%
374 1
0.3%

2013-02
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)31.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean79.270758
Minimum0
Maximum6944
Zeros110
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:13.209598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332
95-th percentile288.6
Maximum6944
Range6944
Interquartile range (IQR)32

Descriptive statistics

Standard deviation455.10631
Coefficient of variation (CV)5.7411625
Kurtosis190.35325
Mean79.270758
Median Absolute Deviation (MAD)3
Skewness12.98308
Sum21958
Variance207121.75
MonotonicityNot monotonic
2024-03-30T07:12:13.857282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110
36.4%
1 16
 
5.3%
2 12
 
4.0%
4 7
 
2.3%
3 6
 
2.0%
6 6
 
2.0%
7 5
 
1.7%
5 5
 
1.7%
8 5
 
1.7%
14 4
 
1.3%
Other values (76) 101
33.4%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 110
36.4%
1 16
 
5.3%
2 12
 
4.0%
3 6
 
2.0%
4 7
 
2.3%
5 5
 
1.7%
6 6
 
2.0%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
6944 1
0.3%
2092 1
0.3%
1126 1
0.3%
1076 1
0.3%
1021 1
0.3%
671 1
0.3%
606 1
0.3%
582 1
0.3%
529 1
0.3%
499 1
0.3%

2013-03
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)33.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean93.880866
Minimum0
Maximum8411
Zeros100
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:14.436077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q328
95-th percentile276.2
Maximum8411
Range8411
Interquartile range (IQR)28

Descriptive statistics

Standard deviation545.40482
Coefficient of variation (CV)5.8095418
Kurtosis198.12814
Mean93.880866
Median Absolute Deviation (MAD)4
Skewness13.272101
Sum26005
Variance297466.42
MonotonicityNot monotonic
2024-03-30T07:12:15.013812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
33.1%
1 15
 
5.0%
2 13
 
4.3%
6 7
 
2.3%
3 7
 
2.3%
8 7
 
2.3%
7 6
 
2.0%
9 6
 
2.0%
15 5
 
1.7%
12 5
 
1.7%
Other values (82) 106
35.1%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 100
33.1%
1 15
 
5.0%
2 13
 
4.3%
3 7
 
2.3%
4 4
 
1.3%
5 3
 
1.0%
6 7
 
2.3%
7 6
 
2.0%
8 7
 
2.3%
9 6
 
2.0%
ValueCountFrequency (%)
8411 1
0.3%
1881 1
0.3%
1723 1
0.3%
1269 1
0.3%
1188 1
0.3%
1034 1
0.3%
881 1
0.3%
695 1
0.3%
659 1
0.3%
468 1
0.3%

2013-04
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)31.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean74.501805
Minimum0
Maximum6363
Zeros87
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:15.617484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q328
95-th percentile194.8
Maximum6363
Range6363
Interquartile range (IQR)28

Descriptive statistics

Standard deviation422.0033
Coefficient of variation (CV)5.6643366
Kurtosis182.25391
Mean74.501805
Median Absolute Deviation (MAD)5
Skewness12.703416
Sum20637
Variance178086.79
MonotonicityNot monotonic
2024-03-30T07:12:16.215506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 87
28.8%
1 18
 
6.0%
3 13
 
4.3%
4 11
 
3.6%
8 9
 
3.0%
2 8
 
2.6%
14 7
 
2.3%
5 7
 
2.3%
17 5
 
1.7%
11 4
 
1.3%
Other values (76) 108
35.8%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 87
28.8%
1 18
 
6.0%
2 8
 
2.6%
3 13
 
4.3%
4 11
 
3.6%
5 7
 
2.3%
6 3
 
1.0%
7 4
 
1.3%
8 9
 
3.0%
9 2
 
0.7%
ValueCountFrequency (%)
6363 1
0.3%
2159 1
0.3%
1347 1
0.3%
1161 1
0.3%
616 1
0.3%
608 1
0.3%
544 1
0.3%
467 1
0.3%
428 1
0.3%
343 1
0.3%

2013-05
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)33.6%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean71.902527
Minimum0
Maximum6373
Zeros90
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:16.678123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q334
95-th percentile228.4
Maximum6373
Range6373
Interquartile range (IQR)34

Descriptive statistics

Standard deviation416.8107
Coefficient of variation (CV)5.7968853
Kurtosis192.72331
Mean71.902527
Median Absolute Deviation (MAD)5
Skewness13.166321
Sum19917
Variance173731.16
MonotonicityNot monotonic
2024-03-30T07:12:17.204775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90
29.8%
1 20
 
6.6%
2 12
 
4.0%
4 9
 
3.0%
6 8
 
2.6%
5 8
 
2.6%
8 8
 
2.6%
3 7
 
2.3%
9 6
 
2.0%
7 5
 
1.7%
Other values (83) 104
34.4%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 90
29.8%
1 20
 
6.6%
2 12
 
4.0%
3 7
 
2.3%
4 9
 
3.0%
5 8
 
2.6%
6 8
 
2.6%
7 5
 
1.7%
8 8
 
2.6%
9 6
 
2.0%
ValueCountFrequency (%)
6373 1
0.3%
1985 1
0.3%
1615 1
0.3%
620 1
0.3%
540 1
0.3%
423 1
0.3%
394 1
0.3%
371 1
0.3%
342 1
0.3%
337 1
0.3%

2013-06
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)32.5%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean69.570397
Minimum0
Maximum6236
Zeros100
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:17.799136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q331
95-th percentile190.4
Maximum6236
Range6236
Interquartile range (IQR)31

Descriptive statistics

Standard deviation403.16258
Coefficient of variation (CV)5.7950306
Kurtosis200.78129
Mean69.570397
Median Absolute Deviation (MAD)5
Skewness13.428412
Sum19271
Variance162540.06
MonotonicityNot monotonic
2024-03-30T07:12:18.358735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
33.1%
1 16
 
5.3%
3 10
 
3.3%
7 7
 
2.3%
2 6
 
2.0%
4 6
 
2.0%
5 5
 
1.7%
16 4
 
1.3%
27 4
 
1.3%
29 4
 
1.3%
Other values (80) 115
38.1%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 100
33.1%
1 16
 
5.3%
2 6
 
2.0%
3 10
 
3.3%
4 6
 
2.0%
5 5
 
1.7%
6 3
 
1.0%
7 7
 
2.3%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
6236 1
0.3%
1535 1
0.3%
1221 1
0.3%
1179 1
0.3%
823 1
0.3%
596 1
0.3%
387 1
0.3%
317 1
0.3%
272 1
0.3%
242 1
0.3%

2013-07
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)35.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean109.32734
Minimum0
Maximum9784
Zeros92
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:18.977906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q348
95-th percentile375.8
Maximum9784
Range9784
Interquartile range (IQR)48

Descriptive statistics

Standard deviation635.78819
Coefficient of variation (CV)5.8154548
Kurtosis196.50837
Mean109.32734
Median Absolute Deviation (MAD)6
Skewness13.277388
Sum30393
Variance404226.63
MonotonicityNot monotonic
2024-03-30T07:12:19.641249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
30.5%
1 18
 
6.0%
3 9
 
3.0%
5 8
 
2.6%
6 7
 
2.3%
10 5
 
1.7%
4 5
 
1.7%
2 5
 
1.7%
11 4
 
1.3%
16 3
 
1.0%
Other values (88) 122
40.4%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 92
30.5%
1 18
 
6.0%
2 5
 
1.7%
3 9
 
3.0%
4 5
 
1.7%
5 8
 
2.6%
6 7
 
2.3%
7 2
 
0.7%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
9784 1
0.3%
2632 1
0.3%
2525 1
0.3%
1168 1
0.3%
1117 1
0.3%
688 1
0.3%
594 1
0.3%
582 1
0.3%
519 1
0.3%
513 1
0.3%

2013-08
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)30.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean71.665468
Minimum0
Maximum6428
Zeros90
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:20.094627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q327.75
95-th percentile217.3
Maximum6428
Range6428
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation421.17595
Coefficient of variation (CV)5.8769721
Kurtosis190.70084
Mean71.665468
Median Absolute Deviation (MAD)5
Skewness13.077087
Sum19923
Variance177389.18
MonotonicityNot monotonic
2024-03-30T07:12:20.788832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90
29.8%
1 15
 
5.0%
3 15
 
5.0%
2 13
 
4.3%
6 8
 
2.6%
14 7
 
2.3%
9 7
 
2.3%
11 6
 
2.0%
5 6
 
2.0%
7 6
 
2.0%
Other values (75) 105
34.8%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 90
29.8%
1 15
 
5.0%
2 13
 
4.3%
3 15
 
5.0%
4 3
 
1.0%
5 6
 
2.0%
6 8
 
2.6%
7 6
 
2.0%
8 3
 
1.0%
9 7
 
2.3%
ValueCountFrequency (%)
6428 1
0.3%
1852 1
0.3%
1808 1
0.3%
1041 1
0.3%
430 1
0.3%
356 1
0.3%
336 1
0.3%
308 1
0.3%
272 1
0.3%
266 1
0.3%

2013-09
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)32.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean65.021583
Minimum0
Maximum5754
Zeros81
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:21.403800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q337.75
95-th percentile168.95
Maximum5754
Range5754
Interquartile range (IQR)37.75

Descriptive statistics

Standard deviation375.18829
Coefficient of variation (CV)5.7702116
Kurtosis194.51958
Mean65.021583
Median Absolute Deviation (MAD)4
Skewness13.259709
Sum18076
Variance140766.25
MonotonicityNot monotonic
2024-03-30T07:12:22.237113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
26.8%
1 28
 
9.3%
2 18
 
6.0%
3 9
 
3.0%
16 8
 
2.6%
4 6
 
2.0%
13 5
 
1.7%
5 4
 
1.3%
15 4
 
1.3%
10 4
 
1.3%
Other values (79) 111
36.8%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 81
26.8%
1 28
 
9.3%
2 18
 
6.0%
3 9
 
3.0%
4 6
 
2.0%
5 4
 
1.3%
6 3
 
1.0%
7 4
 
1.3%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
5754 1
0.3%
1815 1
0.3%
1493 1
0.3%
509 1
0.3%
497 1
0.3%
391 1
0.3%
242 1
0.3%
234 1
0.3%
230 1
0.3%
225 1
0.3%

2013-10
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)32.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean96.892086
Minimum0
Maximum8479
Zeros86
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:22.846187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q339.75
95-th percentile289.55
Maximum8479
Range8479
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation550.82912
Coefficient of variation (CV)5.6849753
Kurtosis196.04523
Mean96.892086
Median Absolute Deviation (MAD)5
Skewness13.200269
Sum26936
Variance303412.72
MonotonicityNot monotonic
2024-03-30T07:12:23.545132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86
28.5%
2 16
 
5.3%
1 15
 
5.0%
3 12
 
4.0%
5 8
 
2.6%
4 7
 
2.3%
6 6
 
2.0%
14 5
 
1.7%
8 5
 
1.7%
11 5
 
1.7%
Other values (81) 113
37.4%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 86
28.5%
1 15
 
5.0%
2 16
 
5.3%
3 12
 
4.0%
4 7
 
2.3%
5 8
 
2.6%
6 6
 
2.0%
7 2
 
0.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
8479 1
0.3%
2197 1
0.3%
1821 1
0.3%
1140 1
0.3%
1101 1
0.3%
783 1
0.3%
781 1
0.3%
776 1
0.3%
664 1
0.3%
584 1
0.3%

2013-11
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)36.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean95.219424
Minimum0
Maximum8209
Zeros82
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:24.250650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q345.5
95-th percentile301.2
Maximum8209
Range8209
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation526.37856
Coefficient of variation (CV)5.5280586
Kurtosis206.20838
Mean95.219424
Median Absolute Deviation (MAD)8
Skewness13.629014
Sum26471
Variance277074.39
MonotonicityNot monotonic
2024-03-30T07:12:24.925402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
27.2%
2 15
 
5.0%
1 12
 
4.0%
13 8
 
2.6%
3 8
 
2.6%
5 6
 
2.0%
8 5
 
1.7%
4 5
 
1.7%
37 5
 
1.7%
6 5
 
1.7%
Other values (91) 127
42.1%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 82
27.2%
1 12
 
4.0%
2 15
 
5.0%
3 8
 
2.6%
4 5
 
1.7%
5 6
 
2.0%
6 5
 
1.7%
7 3
 
1.0%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
8209 1
0.3%
2018 1
0.3%
1497 1
0.3%
1302 1
0.3%
801 1
0.3%
666 1
0.3%
554 1
0.3%
541 1
0.3%
511 1
0.3%
506 1
0.3%

2013-12
Real number (ℝ)

MISSING  ZEROS 

Distinct115
Distinct (%)41.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean133.56475
Minimum0
Maximum11849
Zeros75
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:25.484116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q365.75
95-th percentile368.55
Maximum11849
Range11849
Interquartile range (IQR)65.75

Descriptive statistics

Standard deviation767.26154
Coefficient of variation (CV)5.7444914
Kurtosis199.25569
Mean133.56475
Median Absolute Deviation (MAD)12
Skewness13.40568
Sum37131
Variance588690.28
MonotonicityNot monotonic
2024-03-30T07:12:26.068042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
24.8%
1 21
 
7.0%
2 9
 
3.0%
4 7
 
2.3%
12 6
 
2.0%
6 5
 
1.7%
3 5
 
1.7%
14 4
 
1.3%
9 4
 
1.3%
11 3
 
1.0%
Other values (105) 139
46.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 75
24.8%
1 21
 
7.0%
2 9
 
3.0%
3 5
 
1.7%
4 7
 
2.3%
5 3
 
1.0%
6 5
 
1.7%
7 1
 
0.3%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
11849 1
0.3%
3347 1
0.3%
2804 1
0.3%
1729 1
0.3%
984 1
0.3%
633 1
0.3%
632 1
0.3%
619 1
0.3%
560 1
0.3%
551 1
0.3%

2014-01
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)52.6%
Missing131
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean150.81871
Minimum0
Maximum8418
Zeros22
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:26.639083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q390.5
95-th percentile423.5
Maximum8418
Range8418
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation698.34704
Coefficient of variation (CV)4.6303739
Kurtosis118.18081
Mean150.81871
Median Absolute Deviation (MAD)24
Skewness10.326104
Sum25790
Variance487688.58
MonotonicityNot monotonic
2024-03-30T07:12:27.269138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
7.3%
2 9
 
3.0%
9 6
 
2.0%
1 5
 
1.7%
7 5
 
1.7%
4 5
 
1.7%
12 4
 
1.3%
24 4
 
1.3%
19 4
 
1.3%
73 3
 
1.0%
Other values (80) 104
34.4%
(Missing) 131
43.4%
ValueCountFrequency (%)
0 22
7.3%
1 5
 
1.7%
2 9
3.0%
3 3
 
1.0%
4 5
 
1.7%
5 3
 
1.0%
7 5
 
1.7%
8 2
 
0.7%
9 6
 
2.0%
10 2
 
0.7%
ValueCountFrequency (%)
8418 1
0.3%
2664 1
0.3%
2275 1
0.3%
809 1
0.3%
700 1
0.3%
520 1
0.3%
507 1
0.3%
483 1
0.3%
439 1
0.3%
408 1
0.3%

2014-02
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)44.5%
Missing102
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean124.75
Minimum0
Maximum8036
Zeros38
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:27.907164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q374
95-th percentile362.1
Maximum8036
Range8036
Interquartile range (IQR)72

Descriptive statistics

Standard deviation610.58493
Coefficient of variation (CV)4.8944684
Kurtosis143.99864
Mean124.75
Median Absolute Deviation (MAD)15
Skewness11.390251
Sum24950
Variance372813.96
MonotonicityNot monotonic
2024-03-30T07:12:28.808086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
12.6%
1 11
 
3.6%
2 10
 
3.3%
5 6
 
2.0%
4 5
 
1.7%
8 5
 
1.7%
6 4
 
1.3%
56 4
 
1.3%
17 4
 
1.3%
7 3
 
1.0%
Other values (79) 110
36.4%
(Missing) 102
33.8%
ValueCountFrequency (%)
0 38
12.6%
1 11
 
3.6%
2 10
 
3.3%
3 3
 
1.0%
4 5
 
1.7%
5 6
 
2.0%
6 4
 
1.3%
7 3
 
1.0%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
8036 1
0.3%
2118 1
0.3%
1994 1
0.3%
966 1
0.3%
934 1
0.3%
655 1
0.3%
468 1
0.3%
413 1
0.3%
391 1
0.3%
383 1
0.3%

2014-03
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)44.7%
Missing85
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean151.92166
Minimum0
Maximum10518
Zeros34
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:29.618271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q367
95-th percentile417.4
Maximum10518
Range10518
Interquartile range (IQR)65

Descriptive statistics

Standard deviation771.45814
Coefficient of variation (CV)5.0779997
Kurtosis153.39436
Mean151.92166
Median Absolute Deviation (MAD)15
Skewness11.721904
Sum32967
Variance595147.67
MonotonicityNot monotonic
2024-03-30T07:12:30.538721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
11.3%
1 16
 
5.3%
4 9
 
3.0%
2 9
 
3.0%
7 8
 
2.6%
12 6
 
2.0%
10 5
 
1.7%
6 5
 
1.7%
35 4
 
1.3%
9 4
 
1.3%
Other values (87) 117
38.7%
(Missing) 85
28.1%
ValueCountFrequency (%)
0 34
11.3%
1 16
5.3%
2 9
 
3.0%
3 3
 
1.0%
4 9
 
3.0%
5 1
 
0.3%
6 5
 
1.7%
7 8
 
2.6%
8 1
 
0.3%
9 4
 
1.3%
ValueCountFrequency (%)
10518 1
0.3%
3044 1
0.3%
2166 1
0.3%
1651 1
0.3%
1248 1
0.3%
1091 1
0.3%
757 1
0.3%
526 1
0.3%
490 1
0.3%
488 1
0.3%

2014-04
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)46.7%
Missing73
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean181.36681
Minimum0
Maximum12664
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:31.583842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q386
95-th percentile512.6
Maximum12664
Range12664
Interquartile range (IQR)82

Descriptive statistics

Standard deviation920.76111
Coefficient of variation (CV)5.0767894
Kurtosis151.52697
Mean181.36681
Median Absolute Deviation (MAD)20
Skewness11.606855
Sum41533
Variance847801.02
MonotonicityNot monotonic
2024-03-30T07:12:32.418203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
2 13
 
4.3%
1 8
 
2.6%
15 8
 
2.6%
4 6
 
2.0%
5 6
 
2.0%
6 5
 
1.7%
12 4
 
1.3%
7 4
 
1.3%
9 4
 
1.3%
Other values (97) 139
46.0%
(Missing) 73
24.2%
ValueCountFrequency (%)
0 32
10.6%
1 8
 
2.6%
2 13
4.3%
3 4
 
1.3%
4 6
 
2.0%
5 6
 
2.0%
6 5
 
1.7%
7 4
 
1.3%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
12664 1
0.3%
4515 1
0.3%
2454 1
0.3%
1657 1
0.3%
1645 1
0.3%
1610 1
0.3%
888 1
0.3%
801 1
0.3%
767 1
0.3%
632 1
0.3%

2014-05
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)46.2%
Missing68
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean145.08547
Minimum0
Maximum10653
Zeros41
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:33.192823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q373
95-th percentile458.25
Maximum10653
Range10653
Interquartile range (IQR)71

Descriptive statistics

Standard deviation745.40196
Coefficient of variation (CV)5.1376748
Kurtosis172.06965
Mean145.08547
Median Absolute Deviation (MAD)16
Skewness12.474302
Sum33950
Variance555624.08
MonotonicityNot monotonic
2024-03-30T07:12:33.957148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
13.6%
3 15
 
5.0%
1 12
 
4.0%
5 9
 
3.0%
2 8
 
2.6%
4 7
 
2.3%
8 6
 
2.0%
7 4
 
1.3%
13 4
 
1.3%
16 4
 
1.3%
Other values (98) 124
41.1%
(Missing) 68
22.5%
ValueCountFrequency (%)
0 41
13.6%
1 12
 
4.0%
2 8
 
2.6%
3 15
 
5.0%
4 7
 
2.3%
5 9
 
3.0%
6 2
 
0.7%
7 4
 
1.3%
8 6
 
2.0%
9 1
 
0.3%
ValueCountFrequency (%)
10653 1
0.3%
2979 1
0.3%
2195 1
0.3%
1033 1
0.3%
943 1
0.3%
848 1
0.3%
773 1
0.3%
693 1
0.3%
518 1
0.3%
503 1
0.3%

2014-06
Real number (ℝ)

MISSING  ZEROS 

Distinct99
Distinct (%)40.7%
Missing59
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean105.66255
Minimum0
Maximum7712
Zeros60
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:34.402040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median15
Q357.5
95-th percentile377.7
Maximum7712
Range7712
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation545.22154
Coefficient of variation (CV)5.1600263
Kurtosis161.37706
Mean105.66255
Median Absolute Deviation (MAD)15
Skewness12.062695
Sum25676
Variance297266.53
MonotonicityNot monotonic
2024-03-30T07:12:35.027164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
19.9%
3 11
 
3.6%
4 9
 
3.0%
1 7
 
2.3%
21 7
 
2.3%
2 7
 
2.3%
7 6
 
2.0%
35 4
 
1.3%
48 4
 
1.3%
5 4
 
1.3%
Other values (89) 124
41.1%
(Missing) 59
19.5%
ValueCountFrequency (%)
0 60
19.9%
1 7
 
2.3%
2 7
 
2.3%
3 11
 
3.6%
4 9
 
3.0%
5 4
 
1.3%
6 2
 
0.7%
7 6
 
2.0%
8 3
 
1.0%
10 2
 
0.7%
ValueCountFrequency (%)
7712 1
0.3%
3098 1
0.3%
1282 1
0.3%
724 1
0.3%
629 1
0.3%
609 1
0.3%
550 1
0.3%
516 1
0.3%
488 1
0.3%
441 1
0.3%

2014-07
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)41.5%
Missing56
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean128.28862
Minimum0
Maximum9916
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:35.817991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median16
Q358.5
95-th percentile477.25
Maximum9916
Range9916
Interquartile range (IQR)57.25

Descriptive statistics

Standard deviation674.98544
Coefficient of variation (CV)5.2614601
Kurtosis182.83457
Mean128.28862
Median Absolute Deviation (MAD)16
Skewness12.848911
Sum31559
Variance455605.35
MonotonicityNot monotonic
2024-03-30T07:12:36.273211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
2 21
 
7.0%
1 12
 
4.0%
5 7
 
2.3%
9 5
 
1.7%
31 4
 
1.3%
10 4
 
1.3%
3 4
 
1.3%
16 4
 
1.3%
25 4
 
1.3%
Other values (92) 131
43.4%
(Missing) 56
18.5%
ValueCountFrequency (%)
0 50
16.6%
1 12
 
4.0%
2 21
7.0%
3 4
 
1.3%
4 2
 
0.7%
5 7
 
2.3%
6 1
 
0.3%
7 3
 
1.0%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
9916 1
0.3%
2542 1
0.3%
1821 1
0.3%
1506 1
0.3%
872 1
0.3%
708 1
0.3%
660 1
0.3%
659 1
0.3%
579 1
0.3%
569 1
0.3%

2014-08
Real number (ℝ)

MISSING  ZEROS 

Distinct108
Distinct (%)43.2%
Missing52
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean137.084
Minimum0
Maximum10878
Zeros49
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:36.718097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17.5
Q365.5
95-th percentile348.55
Maximum10878
Range10878
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation739.33684
Coefficient of variation (CV)5.3933125
Kurtosis181.75499
Mean137.084
Median Absolute Deviation (MAD)17.5
Skewness12.81495
Sum34271
Variance546618.97
MonotonicityNot monotonic
2024-03-30T07:12:37.393548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
16.2%
2 15
 
5.0%
1 12
 
4.0%
4 8
 
2.6%
13 6
 
2.0%
9 5
 
1.7%
21 4
 
1.3%
19 4
 
1.3%
24 4
 
1.3%
59 4
 
1.3%
Other values (98) 139
46.0%
(Missing) 52
 
17.2%
ValueCountFrequency (%)
0 49
16.2%
1 12
 
4.0%
2 15
 
5.0%
3 4
 
1.3%
4 8
 
2.6%
5 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
10878 1
0.3%
3303 1
0.3%
1614 1
0.3%
1526 1
0.3%
1139 1
0.3%
1112 1
0.3%
869 1
0.3%
664 1
0.3%
633 1
0.3%
590 1
0.3%

2014-09
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)45.9%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean194.52549
Minimum0
Maximum15705
Zeros46
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:38.102421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q395.5
95-th percentile710.7
Maximum15705
Range15705
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation1035.6979
Coefficient of variation (CV)5.324227
Kurtosis200.21428
Mean194.52549
Median Absolute Deviation (MAD)21
Skewness13.514391
Sum49604
Variance1072670.1
MonotonicityNot monotonic
2024-03-30T07:12:38.721753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
15.2%
1 12
 
4.0%
2 12
 
4.0%
3 8
 
2.6%
5 6
 
2.0%
4 6
 
2.0%
21 5
 
1.7%
10 4
 
1.3%
7 4
 
1.3%
9 4
 
1.3%
Other values (107) 148
49.0%
(Missing) 47
 
15.6%
ValueCountFrequency (%)
0 46
15.2%
1 12
 
4.0%
2 12
 
4.0%
3 8
 
2.6%
4 6
 
2.0%
5 6
 
2.0%
6 3
 
1.0%
7 4
 
1.3%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
15705 1
0.3%
3453 1
0.3%
1815 1
0.3%
1734 1
0.3%
1647 1
0.3%
1617 1
0.3%
1352 1
0.3%
1261 1
0.3%
992 1
0.3%
936 1
0.3%

2014-10
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)43.2%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean152.19844
Minimum0
Maximum12309
Zeros57
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:39.518678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median18
Q380
95-th percentile526
Maximum12309
Range12309
Interquartile range (IQR)79

Descriptive statistics

Standard deviation817.70996
Coefficient of variation (CV)5.3726565
Kurtosis193.06643
Mean152.19844
Median Absolute Deviation (MAD)18
Skewness13.202112
Sum39115
Variance668649.57
MonotonicityNot monotonic
2024-03-30T07:12:40.162954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
 
18.9%
1 15
 
5.0%
3 7
 
2.3%
12 6
 
2.0%
15 5
 
1.7%
2 5
 
1.7%
5 5
 
1.7%
8 4
 
1.3%
19 4
 
1.3%
4 4
 
1.3%
Other values (101) 145
48.0%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 57
18.9%
1 15
 
5.0%
2 5
 
1.7%
3 7
 
2.3%
4 4
 
1.3%
5 5
 
1.7%
6 3
 
1.0%
7 3
 
1.0%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
12309 1
0.3%
2723 1
0.3%
2553 1
0.3%
1496 1
0.3%
1198 1
0.3%
1064 1
0.3%
1041 1
0.3%
930 1
0.3%
902 1
0.3%
806 1
0.3%

2014-11
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)42.6%
Missing39
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean130.96198
Minimum0
Maximum10721
Zeros53
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:41.532950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q375.5
95-th percentile388.1
Maximum10721
Range10721
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation707.73429
Coefficient of variation (CV)5.4041204
Kurtosis194.10232
Mean130.96198
Median Absolute Deviation (MAD)16
Skewness13.259887
Sum34443
Variance500887.83
MonotonicityNot monotonic
2024-03-30T07:12:42.200106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
17.5%
1 17
 
5.6%
4 13
 
4.3%
2 7
 
2.3%
3 7
 
2.3%
5 6
 
2.0%
7 5
 
1.7%
9 4
 
1.3%
18 4
 
1.3%
12 4
 
1.3%
Other values (102) 143
47.4%
(Missing) 39
 
12.9%
ValueCountFrequency (%)
0 53
17.5%
1 17
 
5.6%
2 7
 
2.3%
3 7
 
2.3%
4 13
 
4.3%
5 6
 
2.0%
6 3
 
1.0%
7 5
 
1.7%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
10721 1
0.3%
3008 1
0.3%
2150 1
0.3%
1202 1
0.3%
1055 1
0.3%
768 1
0.3%
673 1
0.3%
575 1
0.3%
569 1
0.3%
499 1
0.3%

2014-12
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)45.8%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean156.17424
Minimum0
Maximum13017
Zeros47
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:42.729401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median26
Q390.25
95-th percentile399.55
Maximum13017
Range13017
Interquartile range (IQR)88.25

Descriptive statistics

Standard deviation862.19675
Coefficient of variation (CV)5.5207359
Kurtosis191.41376
Mean156.17424
Median Absolute Deviation (MAD)26
Skewness13.191178
Sum41230
Variance743383.23
MonotonicityNot monotonic
2024-03-30T07:12:43.219365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
15.6%
2 17
 
5.6%
1 12
 
4.0%
3 12
 
4.0%
4 7
 
2.3%
40 4
 
1.3%
17 4
 
1.3%
103 4
 
1.3%
5 4
 
1.3%
58 4
 
1.3%
Other values (111) 149
49.3%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 47
15.6%
1 12
 
4.0%
2 17
 
5.6%
3 12
 
4.0%
4 7
 
2.3%
5 4
 
1.3%
6 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
9 2
 
0.7%
ValueCountFrequency (%)
13017 1
0.3%
3627 1
0.3%
3458 1
0.3%
1215 1
0.3%
922 1
0.3%
809 1
0.3%
678 1
0.3%
537 1
0.3%
454 1
0.3%
441 1
0.3%

2015-01
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)38.0%
Missing36
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean136.16165
Minimum0
Maximum11628
Zeros62
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:43.860630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q357
95-th percentile524.5
Maximum11628
Range11628
Interquartile range (IQR)56

Descriptive statistics

Standard deviation772.87819
Coefficient of variation (CV)5.676181
Kurtosis187.55385
Mean136.16165
Median Absolute Deviation (MAD)12
Skewness12.974574
Sum36219
Variance597340.69
MonotonicityNot monotonic
2024-03-30T07:12:44.466148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
20.5%
1 19
 
6.3%
2 13
 
4.3%
4 9
 
3.0%
19 5
 
1.7%
20 5
 
1.7%
7 5
 
1.7%
10 4
 
1.3%
12 4
 
1.3%
3 4
 
1.3%
Other values (91) 136
45.0%
(Missing) 36
 
11.9%
ValueCountFrequency (%)
0 62
20.5%
1 19
 
6.3%
2 13
 
4.3%
3 4
 
1.3%
4 9
 
3.0%
5 3
 
1.0%
6 3
 
1.0%
7 5
 
1.7%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
11628 1
0.3%
3645 1
0.3%
2251 1
0.3%
1527 1
0.3%
993 1
0.3%
969 1
0.3%
824 2
0.7%
805 1
0.3%
721 1
0.3%
642 1
0.3%

2015-02
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)39.5%
Missing36
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean138.59774
Minimum0
Maximum11667
Zeros62
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:45.207421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q366.25
95-th percentile328.75
Maximum11667
Range11667
Interquartile range (IQR)65.25

Descriptive statistics

Standard deviation795.09777
Coefficient of variation (CV)5.7367295
Kurtosis172.00515
Mean138.59774
Median Absolute Deviation (MAD)13
Skewness12.421999
Sum36867
Variance632180.47
MonotonicityNot monotonic
2024-03-30T07:12:45.786701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
20.5%
1 18
 
6.0%
4 11
 
3.6%
2 10
 
3.3%
3 8
 
2.6%
14 6
 
2.0%
6 5
 
1.7%
9 4
 
1.3%
15 4
 
1.3%
8 4
 
1.3%
Other values (95) 134
44.4%
(Missing) 36
 
11.9%
ValueCountFrequency (%)
0 62
20.5%
1 18
 
6.0%
2 10
 
3.3%
3 8
 
2.6%
4 11
 
3.6%
5 3
 
1.0%
6 5
 
1.7%
7 2
 
0.7%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
11667 1
0.3%
4701 1
0.3%
2197 1
0.3%
1636 1
0.3%
1248 1
0.3%
1182 1
0.3%
802 1
0.3%
774 1
0.3%
720 1
0.3%
518 1
0.3%

2015-03
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)44.0%
Missing34
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean214.28731
Minimum0
Maximum17756
Zeros55
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:46.358762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median18
Q377.25
95-th percentile737.65
Maximum17756
Range17756
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation1192.736
Coefficient of variation (CV)5.5660597
Kurtosis178.69759
Mean214.28731
Median Absolute Deviation (MAD)18
Skewness12.586724
Sum57429
Variance1422619.1
MonotonicityNot monotonic
2024-03-30T07:12:46.934675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
18.2%
1 15
 
5.0%
3 9
 
3.0%
2 9
 
3.0%
4 8
 
2.6%
7 5
 
1.7%
5 5
 
1.7%
16 4
 
1.3%
18 4
 
1.3%
15 4
 
1.3%
Other values (108) 150
49.7%
(Missing) 34
 
11.3%
ValueCountFrequency (%)
0 55
18.2%
1 15
 
5.0%
2 9
 
3.0%
3 9
 
3.0%
4 8
 
2.6%
5 5
 
1.7%
6 2
 
0.7%
7 5
 
1.7%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
17756 1
0.3%
6072 1
0.3%
3113 1
0.3%
3033 1
0.3%
1897 1
0.3%
1784 1
0.3%
1438 1
0.3%
1371 1
0.3%
1369 1
0.3%
1050 1
0.3%

2015-04
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)41.3%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean157.42751
Minimum0
Maximum13408
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:47.608867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q381
95-th percentile497.6
Maximum13408
Range13408
Interquartile range (IQR)80

Descriptive statistics

Standard deviation882.83419
Coefficient of variation (CV)5.6078775
Kurtosis192.25735
Mean157.42751
Median Absolute Deviation (MAD)17
Skewness13.156535
Sum42348
Variance779396.21
MonotonicityNot monotonic
2024-03-30T07:12:48.095262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
1 21
 
7.0%
2 10
 
3.3%
3 10
 
3.3%
4 8
 
2.6%
20 7
 
2.3%
17 6
 
2.0%
15 6
 
2.0%
11 4
 
1.3%
19 4
 
1.3%
Other values (101) 145
48.0%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 48
15.9%
1 21
7.0%
2 10
 
3.3%
3 10
 
3.3%
4 8
 
2.6%
5 3
 
1.0%
6 2
 
0.7%
7 2
 
0.7%
9 2
 
0.7%
10 3
 
1.0%
ValueCountFrequency (%)
13408 1
0.3%
3668 1
0.3%
3326 1
0.3%
1604 1
0.3%
1548 1
0.3%
1047 1
0.3%
644 1
0.3%
601 1
0.3%
587 1
0.3%
546 1
0.3%

2015-05
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)44.6%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean132.37269
Minimum0
Maximum11331
Zeros57
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:48.593107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median19
Q375
95-th percentile373.5
Maximum11331
Range11331
Interquartile range (IQR)74

Descriptive statistics

Standard deviation736.08998
Coefficient of variation (CV)5.5607388
Kurtosis201.29861
Mean132.37269
Median Absolute Deviation (MAD)19
Skewness13.536027
Sum35873
Variance541828.46
MonotonicityNot monotonic
2024-03-30T07:12:49.101637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
 
18.9%
1 12
 
4.0%
2 11
 
3.6%
6 8
 
2.6%
7 6
 
2.0%
3 5
 
1.7%
5 5
 
1.7%
19 5
 
1.7%
4 4
 
1.3%
17 4
 
1.3%
Other values (111) 154
51.0%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 57
18.9%
1 12
 
4.0%
2 11
 
3.6%
3 5
 
1.7%
4 4
 
1.3%
5 5
 
1.7%
6 8
 
2.6%
7 6
 
2.0%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
11331 1
0.3%
2971 1
0.3%
2740 1
0.3%
1249 1
0.3%
844 1
0.3%
575 1
0.3%
553 1
0.3%
500 1
0.3%
499 1
0.3%
466 1
0.3%

2015-06
Real number (ℝ)

MISSING  ZEROS 

Distinct120
Distinct (%)44.1%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean161.87132
Minimum0
Maximum14024
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:49.851049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median18.5
Q390
95-th percentile332.45
Maximum14024
Range14024
Interquartile range (IQR)88

Descriptive statistics

Standard deviation919.83955
Coefficient of variation (CV)5.6825356
Kurtosis193.67621
Mean161.87132
Median Absolute Deviation (MAD)18.5
Skewness13.230071
Sum44029
Variance846104.8
MonotonicityNot monotonic
2024-03-30T07:12:50.384103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
1 22
 
7.3%
2 14
 
4.6%
3 10
 
3.3%
5 7
 
2.3%
4 6
 
2.0%
7 6
 
2.0%
16 5
 
1.7%
23 5
 
1.7%
31 4
 
1.3%
Other values (110) 150
49.7%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 43
14.2%
1 22
7.3%
2 14
 
4.6%
3 10
 
3.3%
4 6
 
2.0%
5 7
 
2.3%
6 3
 
1.0%
7 6
 
2.0%
9 3
 
1.0%
10 2
 
0.7%
ValueCountFrequency (%)
14024 1
0.3%
4468 1
0.3%
2544 1
0.3%
2388 1
0.3%
1064 1
0.3%
918 1
0.3%
905 1
0.3%
884 1
0.3%
755 1
0.3%
654 1
0.3%

2015-07
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)43.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean190.38628
Minimum0
Maximum16372
Zeros55
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:50.986034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q3102
95-th percentile561
Maximum16372
Range16372
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1070.2062
Coefficient of variation (CV)5.6212357
Kurtosis192.85361
Mean190.38628
Median Absolute Deviation (MAD)24
Skewness13.170692
Sum52737
Variance1145341.2
MonotonicityNot monotonic
2024-03-30T07:12:51.562291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
18.2%
1 11
 
3.6%
2 8
 
2.6%
5 7
 
2.3%
6 6
 
2.0%
24 5
 
1.7%
29 5
 
1.7%
47 5
 
1.7%
10 5
 
1.7%
3 5
 
1.7%
Other values (109) 165
54.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 55
18.2%
1 11
 
3.6%
2 8
 
2.6%
3 5
 
1.7%
4 4
 
1.3%
5 7
 
2.3%
6 6
 
2.0%
7 3
 
1.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
16372 1
0.3%
5215 1
0.3%
3849 1
0.3%
2067 1
0.3%
1528 1
0.3%
1284 1
0.3%
914 1
0.3%
870 1
0.3%
758 1
0.3%
644 1
0.3%

2015-08
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)40.4%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean118.3574
Minimum0
Maximum10403
Zeros49
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:51.991666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q360
95-th percentile290
Maximum10403
Range10403
Interquartile range (IQR)58

Descriptive statistics

Standard deviation676.16779
Coefficient of variation (CV)5.712932
Kurtosis196.76473
Mean118.3574
Median Absolute Deviation (MAD)17
Skewness13.297776
Sum32785
Variance457202.88
MonotonicityNot monotonic
2024-03-30T07:12:52.463820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
16.2%
1 20
 
6.6%
2 12
 
4.0%
3 8
 
2.6%
10 7
 
2.3%
19 6
 
2.0%
17 5
 
1.7%
11 5
 
1.7%
9 4
 
1.3%
7 4
 
1.3%
Other values (102) 157
52.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 49
16.2%
1 20
6.6%
2 12
 
4.0%
3 8
 
2.6%
4 3
 
1.0%
5 4
 
1.3%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
10403 1
0.3%
2765 1
0.3%
2352 1
0.3%
2134 1
0.3%
779 1
0.3%
740 1
0.3%
639 1
0.3%
618 1
0.3%
576 1
0.3%
387 1
0.3%

2015-09
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)42.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean150.13718
Minimum0
Maximum13066
Zeros57
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:52.897881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median19
Q374
95-th percentile448.8
Maximum13066
Range13066
Interquartile range (IQR)73

Descriptive statistics

Standard deviation840.87651
Coefficient of variation (CV)5.6007212
Kurtosis204.56113
Mean150.13718
Median Absolute Deviation (MAD)19
Skewness13.625322
Sum41588
Variance707073.3
MonotonicityNot monotonic
2024-03-30T07:12:53.366017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
 
18.9%
1 13
 
4.3%
2 10
 
3.3%
4 6
 
2.0%
3 6
 
2.0%
6 5
 
1.7%
8 5
 
1.7%
31 4
 
1.3%
26 4
 
1.3%
7 4
 
1.3%
Other values (107) 163
54.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 57
18.9%
1 13
 
4.3%
2 10
 
3.3%
3 6
 
2.0%
4 6
 
2.0%
5 3
 
1.0%
6 5
 
1.7%
7 4
 
1.3%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
13066 1
0.3%
3529 1
0.3%
3007 1
0.3%
1344 1
0.3%
1078 1
0.3%
822 1
0.3%
804 1
0.3%
797 1
0.3%
615 1
0.3%
520 1
0.3%

2015-10
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)42.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean164.65704
Minimum0
Maximum14576
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:53.793943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q381
95-th percentile562.6
Maximum14576
Range14576
Interquartile range (IQR)78

Descriptive statistics

Standard deviation938.1178
Coefficient of variation (CV)5.6974048
Kurtosis204.58637
Mean164.65704
Median Absolute Deviation (MAD)19
Skewness13.618653
Sum45610
Variance880065.02
MonotonicityNot monotonic
2024-03-30T07:12:54.326693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 15
 
5.0%
3 13
 
4.3%
4 8
 
2.6%
10 7
 
2.3%
44 6
 
2.0%
35 6
 
2.0%
5 6
 
2.0%
14 5
 
1.7%
6 5
 
1.7%
Other values (107) 156
51.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 50
16.6%
1 15
 
5.0%
2 3
 
1.0%
3 13
 
4.3%
4 8
 
2.6%
5 6
 
2.0%
6 5
 
1.7%
7 3
 
1.0%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
14576 1
0.3%
3650 1
0.3%
3612 1
0.3%
1335 1
0.3%
1210 1
0.3%
1135 1
0.3%
860 1
0.3%
792 1
0.3%
727 1
0.3%
726 1
0.3%

2015-11
Real number (ℝ)

MISSING  ZEROS 

Distinct125
Distinct (%)45.1%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean200.04332
Minimum0
Maximum17030
Zeros57
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:55.037904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median24
Q385
95-th percentile636.8
Maximum17030
Range17030
Interquartile range (IQR)84

Descriptive statistics

Standard deviation1105.8388
Coefficient of variation (CV)5.5279966
Kurtosis197.67101
Mean200.04332
Median Absolute Deviation (MAD)24
Skewness13.34947
Sum55412
Variance1222879.4
MonotonicityNot monotonic
2024-03-30T07:12:55.451933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
 
18.9%
1 15
 
5.0%
3 10
 
3.3%
2 8
 
2.6%
8 5
 
1.7%
4 5
 
1.7%
7 4
 
1.3%
44 4
 
1.3%
59 4
 
1.3%
22 4
 
1.3%
Other values (115) 161
53.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 57
18.9%
1 15
 
5.0%
2 8
 
2.6%
3 10
 
3.3%
4 5
 
1.7%
5 4
 
1.3%
6 1
 
0.3%
7 4
 
1.3%
8 5
 
1.7%
9 1
 
0.3%
ValueCountFrequency (%)
17030 1
0.3%
5370 1
0.3%
3349 1
0.3%
1931 1
0.3%
1421 1
0.3%
1288 1
0.3%
1230 1
0.3%
1094 1
0.3%
807 1
0.3%
759 1
0.3%

2015-12
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)49.5%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean223.17329
Minimum0
Maximum19207
Zeros51
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:55.888940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median31
Q3113
95-th percentile552.4
Maximum19207
Range19207
Interquartile range (IQR)112

Descriptive statistics

Standard deviation1255.9282
Coefficient of variation (CV)5.6275921
Kurtosis192.47298
Mean223.17329
Median Absolute Deviation (MAD)31
Skewness13.146638
Sum61819
Variance1577355.7
MonotonicityNot monotonic
2024-03-30T07:12:56.347840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
16.9%
1 19
 
6.3%
3 7
 
2.3%
4 6
 
2.0%
10 6
 
2.0%
5 5
 
1.7%
2 5
 
1.7%
13 4
 
1.3%
26 4
 
1.3%
18 4
 
1.3%
Other values (127) 166
55.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 51
16.9%
1 19
 
6.3%
2 5
 
1.7%
3 7
 
2.3%
4 6
 
2.0%
5 5
 
1.7%
6 4
 
1.3%
7 2
 
0.7%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
19207 1
0.3%
5702 1
0.3%
5100 1
0.3%
1773 1
0.3%
1771 1
0.3%
1705 1
0.3%
1617 1
0.3%
1158 1
0.3%
1153 1
0.3%
990 1
0.3%

2016-01
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)42.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean158.39711
Minimum0
Maximum14031
Zeros62
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:56.760736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q379
95-th percentile432.8
Maximum14031
Range14031
Interquartile range (IQR)78

Descriptive statistics

Standard deviation929.17064
Coefficient of variation (CV)5.8660832
Kurtosis184.33686
Mean158.39711
Median Absolute Deviation (MAD)17
Skewness12.853583
Sum43876
Variance863358.07
MonotonicityNot monotonic
2024-03-30T07:12:57.182121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
20.5%
1 18
 
6.0%
2 12
 
4.0%
3 8
 
2.6%
10 6
 
2.0%
14 5
 
1.7%
8 5
 
1.7%
21 4
 
1.3%
26 4
 
1.3%
9 4
 
1.3%
Other values (107) 149
49.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 62
20.5%
1 18
 
6.0%
2 12
 
4.0%
3 8
 
2.6%
4 2
 
0.7%
5 1
 
0.3%
6 2
 
0.7%
7 3
 
1.0%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
14031 1
0.3%
5075 1
0.3%
3175 1
0.3%
1847 1
0.3%
1615 1
0.3%
1057 1
0.3%
1004 1
0.3%
843 1
0.3%
623 1
0.3%
533 1
0.3%

2016-02
Real number (ℝ)

MISSING  ZEROS 

Distinct125
Distinct (%)45.1%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean177.39711
Minimum0
Maximum15637
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:57.592750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q393
95-th percentile679.8
Maximum15637
Range15637
Interquartile range (IQR)91

Descriptive statistics

Standard deviation1000.5982
Coefficient of variation (CV)5.6404423
Kurtosis208.92389
Mean177.39711
Median Absolute Deviation (MAD)21
Skewness13.761417
Sum49139
Variance1001196.7
MonotonicityNot monotonic
2024-03-30T07:12:58.016223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
2 17
 
5.6%
1 13
 
4.3%
3 10
 
3.3%
7 6
 
2.0%
4 5
 
1.7%
21 5
 
1.7%
5 3
 
1.0%
45 3
 
1.0%
8 3
 
1.0%
Other values (115) 162
53.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 50
16.6%
1 13
 
4.3%
2 17
 
5.6%
3 10
 
3.3%
4 5
 
1.7%
5 3
 
1.0%
6 3
 
1.0%
7 6
 
2.0%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
15637 1
0.3%
3583 1
0.3%
3444 1
0.3%
1640 1
0.3%
1256 1
0.3%
1206 1
0.3%
1126 1
0.3%
1003 1
0.3%
1000 1
0.3%
965 1
0.3%

2016-03
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)43.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean143.66426
Minimum0
Maximum12667
Zeros49
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:58.463502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q374
95-th percentile343.6
Maximum12667
Range12667
Interquartile range (IQR)71

Descriptive statistics

Standard deviation826.44583
Coefficient of variation (CV)5.7526195
Kurtosis195.1401
Mean143.66426
Median Absolute Deviation (MAD)20
Skewness13.317844
Sum39795
Variance683012.7
MonotonicityNot monotonic
2024-03-30T07:12:58.866910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
16.2%
1 14
 
4.6%
7 8
 
2.6%
5 8
 
2.6%
4 6
 
2.0%
16 6
 
2.0%
2 6
 
2.0%
11 5
 
1.7%
34 4
 
1.3%
12 4
 
1.3%
Other values (109) 167
55.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 49
16.2%
1 14
 
4.6%
2 6
 
2.0%
3 2
 
0.7%
4 6
 
2.0%
5 8
 
2.6%
6 3
 
1.0%
7 8
 
2.6%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
12667 1
0.3%
4377 1
0.3%
2766 1
0.3%
1054 1
0.3%
993 1
0.3%
945 1
0.3%
634 1
0.3%
621 1
0.3%
563 1
0.3%
485 1
0.3%

2016-04
Real number (ℝ)

MISSING  ZEROS 

Distinct124
Distinct (%)44.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean161.03971
Minimum0
Maximum14148
Zeros49
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:12:59.285212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median22
Q383
95-th percentile426.8
Maximum14148
Range14148
Interquartile range (IQR)81

Descriptive statistics

Standard deviation923.14792
Coefficient of variation (CV)5.7324241
Kurtosis194.67884
Mean161.03971
Median Absolute Deviation (MAD)22
Skewness13.284694
Sum44608
Variance852202.09
MonotonicityNot monotonic
2024-03-30T07:12:59.725283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
16.2%
1 15
 
5.0%
2 10
 
3.3%
5 8
 
2.6%
3 7
 
2.3%
4 6
 
2.0%
10 6
 
2.0%
6 5
 
1.7%
14 5
 
1.7%
8 4
 
1.3%
Other values (114) 162
53.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 49
16.2%
1 15
 
5.0%
2 10
 
3.3%
3 7
 
2.3%
4 6
 
2.0%
5 8
 
2.6%
6 5
 
1.7%
7 2
 
0.7%
8 4
 
1.3%
10 6
 
2.0%
ValueCountFrequency (%)
14148 1
0.3%
4379 1
0.3%
3854 1
0.3%
1321 1
0.3%
775 1
0.3%
763 1
0.3%
681 1
0.3%
591 1
0.3%
581 1
0.3%
558 1
0.3%

2016-05
Real number (ℝ)

MISSING  ZEROS 

Distinct135
Distinct (%)48.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean172.83755
Minimum0
Maximum15428
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:00.141271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median25
Q392
95-th percentile470.8
Maximum15428
Range15428
Interquartile range (IQR)90

Descriptive statistics

Standard deviation1001.1773
Coefficient of variation (CV)5.7925913
Kurtosis198.8496
Mean172.83755
Median Absolute Deviation (MAD)25
Skewness13.434794
Sum47876
Variance1002355.9
MonotonicityNot monotonic
2024-03-30T07:13:00.635214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
1 16
 
5.3%
2 12
 
4.0%
6 9
 
3.0%
3 8
 
2.6%
7 7
 
2.3%
16 6
 
2.0%
8 4
 
1.3%
21 4
 
1.3%
48 4
 
1.3%
Other values (125) 164
54.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 43
14.2%
1 16
 
5.3%
2 12
 
4.0%
3 8
 
2.6%
4 1
 
0.3%
5 3
 
1.0%
6 9
 
3.0%
7 7
 
2.3%
8 4
 
1.3%
9 1
 
0.3%
ValueCountFrequency (%)
15428 1
0.3%
4969 1
0.3%
3181 1
0.3%
1690 1
0.3%
1224 1
0.3%
1191 1
0.3%
1056 1
0.3%
997 1
0.3%
599 1
0.3%
534 1
0.3%

2016-06
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)49.5%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean191.25271
Minimum0
Maximum16353
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:01.068362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median33
Q3102
95-th percentile559.8
Maximum16353
Range16353
Interquartile range (IQR)99

Descriptive statistics

Standard deviation1054.3178
Coefficient of variation (CV)5.5126948
Kurtosis203.28267
Mean191.25271
Median Absolute Deviation (MAD)33
Skewness13.586288
Sum52977
Variance1111586
MonotonicityNot monotonic
2024-03-30T07:13:01.657864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
1 11
 
3.6%
2 7
 
2.3%
5 7
 
2.3%
4 5
 
1.7%
69 4
 
1.3%
33 4
 
1.3%
14 4
 
1.3%
32 4
 
1.3%
3 4
 
1.3%
Other values (127) 179
59.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 48
15.9%
1 11
 
3.6%
2 7
 
2.3%
3 4
 
1.3%
4 5
 
1.7%
5 7
 
2.3%
6 3
 
1.0%
7 4
 
1.3%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
16353 1
0.3%
5072 1
0.3%
2715 1
0.3%
1688 1
0.3%
1507 1
0.3%
1423 1
0.3%
1226 1
0.3%
974 1
0.3%
929 1
0.3%
692 1
0.3%

2016-07
Real number (ℝ)

MISSING  ZEROS 

Distinct128
Distinct (%)46.5%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean199.37818
Minimum0
Maximum17165
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:02.135090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median27
Q3107.5
95-th percentile540.4
Maximum17165
Range17165
Interquartile range (IQR)105.5

Descriptive statistics

Standard deviation1140.5523
Coefficient of variation (CV)5.720547
Kurtosis184.26544
Mean199.37818
Median Absolute Deviation (MAD)27
Skewness12.93479
Sum54829
Variance1300859.4
MonotonicityNot monotonic
2024-03-30T07:13:02.629673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 14
 
4.6%
2 13
 
4.3%
4 8
 
2.6%
6 6
 
2.0%
9 5
 
1.7%
5 5
 
1.7%
7 5
 
1.7%
64 4
 
1.3%
19 4
 
1.3%
Other values (118) 161
53.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 50
16.6%
1 14
 
4.6%
2 13
 
4.3%
3 2
 
0.7%
4 8
 
2.6%
5 5
 
1.7%
6 6
 
2.0%
7 5
 
1.7%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
17165 1
0.3%
6897 1
0.3%
3327 1
0.3%
1602 1
0.3%
1542 1
0.3%
1176 1
0.3%
801 1
0.3%
779 1
0.3%
660 1
0.3%
656 1
0.3%

2016-08
Real number (ℝ)

MISSING  ZEROS 

Distinct138
Distinct (%)50.2%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean203.56
Minimum0
Maximum17467
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:03.118546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median30
Q399.5
95-th percentile564.6
Maximum17467
Range17467
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation1135.8675
Coefficient of variation (CV)5.5800133
Kurtosis197.54109
Mean203.56
Median Absolute Deviation (MAD)30
Skewness13.330107
Sum55979
Variance1290195
MonotonicityNot monotonic
2024-03-30T07:13:03.610583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 14
 
4.6%
2 11
 
3.6%
4 6
 
2.0%
8 5
 
1.7%
7 5
 
1.7%
9 3
 
1.0%
32 3
 
1.0%
5 3
 
1.0%
11 3
 
1.0%
Other values (128) 172
57.0%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 50
16.6%
1 14
 
4.6%
2 11
 
3.6%
3 3
 
1.0%
4 6
 
2.0%
5 3
 
1.0%
6 1
 
0.3%
7 5
 
1.7%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
17467 1
0.3%
4515 1
0.3%
4411 1
0.3%
1900 1
0.3%
1802 1
0.3%
1587 1
0.3%
1248 1
0.3%
1109 1
0.3%
1091 1
0.3%
1082 1
0.3%

2016-09
Real number (ℝ)

MISSING  ZEROS 

Distinct125
Distinct (%)45.3%
Missing26
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean179.06884
Minimum0
Maximum15643
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:04.097683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q3107.75
95-th percentile506.75
Maximum15643
Range15643
Interquartile range (IQR)105.75

Descriptive statistics

Standard deviation1005.8814
Coefficient of variation (CV)5.6172889
Kurtosis206.49901
Mean179.06884
Median Absolute Deviation (MAD)24
Skewness13.7507
Sum49423
Variance1011797.4
MonotonicityNot monotonic
2024-03-30T07:13:04.579636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 17
 
5.6%
2 12
 
4.0%
5 10
 
3.3%
3 8
 
2.6%
19 5
 
1.7%
9 4
 
1.3%
6 4
 
1.3%
16 4
 
1.3%
24 4
 
1.3%
Other values (115) 158
52.3%
(Missing) 26
 
8.6%
ValueCountFrequency (%)
0 50
16.6%
1 17
 
5.6%
2 12
 
4.0%
3 8
 
2.6%
5 10
 
3.3%
6 4
 
1.3%
7 2
 
0.7%
8 1
 
0.3%
9 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
15643 1
0.3%
4876 1
0.3%
2716 1
0.3%
1206 1
0.3%
1033 1
0.3%
897 1
0.3%
890 1
0.3%
873 1
0.3%
841 1
0.3%
791 1
0.3%

2016-10
Real number (ℝ)

MISSING  ZEROS 

Distinct129
Distinct (%)46.6%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean196.09386
Minimum0
Maximum17171
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:05.024351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20
Q3104
95-th percentile592.8
Maximum17171
Range17171
Interquartile range (IQR)102

Descriptive statistics

Standard deviation1142.7278
Coefficient of variation (CV)5.8274531
Kurtosis183.36342
Mean196.09386
Median Absolute Deviation (MAD)20
Skewness12.944725
Sum54318
Variance1305826.8
MonotonicityNot monotonic
2024-03-30T07:13:05.489890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 18
 
6.0%
2 9
 
3.0%
3 8
 
2.6%
9 7
 
2.3%
8 7
 
2.3%
4 6
 
2.0%
6 6
 
2.0%
12 5
 
1.7%
37 4
 
1.3%
Other values (119) 157
52.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 50
16.6%
1 18
 
6.0%
2 9
 
3.0%
3 8
 
2.6%
4 6
 
2.0%
5 3
 
1.0%
6 6
 
2.0%
8 7
 
2.3%
9 7
 
2.3%
10 2
 
0.7%
ValueCountFrequency (%)
17171 1
0.3%
7445 1
0.3%
2738 1
0.3%
1525 1
0.3%
1117 1
0.3%
1021 1
0.3%
1002 1
0.3%
801 1
0.3%
732 1
0.3%
714 1
0.3%

2016-11
Real number (ℝ)

MISSING  ZEROS 

Distinct136
Distinct (%)49.1%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean252.72563
Minimum0
Maximum21490
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:06.066983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median28
Q3140
95-th percentile625.2
Maximum21490
Range21490
Interquartile range (IQR)138

Descriptive statistics

Standard deviation1445.6414
Coefficient of variation (CV)5.7202009
Kurtosis174.99976
Mean252.72563
Median Absolute Deviation (MAD)28
Skewness12.548205
Sum70005
Variance2089879
MonotonicityNot monotonic
2024-03-30T07:13:06.532176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
1 13
 
4.3%
3 9
 
3.0%
2 9
 
3.0%
4 7
 
2.3%
11 5
 
1.7%
24 4
 
1.3%
35 4
 
1.3%
5 4
 
1.3%
17 3
 
1.0%
Other values (126) 171
56.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 48
15.9%
1 13
 
4.3%
2 9
 
3.0%
3 9
 
3.0%
4 7
 
2.3%
5 4
 
1.3%
6 3
 
1.0%
7 1
 
0.3%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
21490 1
0.3%
9079 1
0.3%
4876 1
0.3%
2453 1
0.3%
2318 1
0.3%
1654 1
0.3%
1326 1
0.3%
1226 1
0.3%
888 1
0.3%
882 1
0.3%

2016-12
Real number (ℝ)

MISSING  ZEROS 

Distinct150
Distinct (%)54.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean302.86643
Minimum0
Maximum25556
Zeros41
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:07.587506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median34
Q3169
95-th percentile904.2
Maximum25556
Range25556
Interquartile range (IQR)165

Descriptive statistics

Standard deviation1668.3087
Coefficient of variation (CV)5.5083975
Kurtosis194.4313
Mean302.86643
Median Absolute Deviation (MAD)34
Skewness13.271516
Sum83894
Variance2783253.8
MonotonicityNot monotonic
2024-03-30T07:13:08.051103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
13.6%
1 14
 
4.6%
5 12
 
4.0%
3 7
 
2.3%
4 6
 
2.0%
2 6
 
2.0%
227 4
 
1.3%
23 4
 
1.3%
7 4
 
1.3%
6 4
 
1.3%
Other values (140) 175
57.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 41
13.6%
1 14
 
4.6%
2 6
 
2.0%
3 7
 
2.3%
4 6
 
2.0%
5 12
 
4.0%
6 4
 
1.3%
7 4
 
1.3%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
25556 1
0.3%
9141 1
0.3%
4340 1
0.3%
2566 1
0.3%
1999 1
0.3%
1821 1
0.3%
1709 1
0.3%
1663 1
0.3%
1274 1
0.3%
1090 1
0.3%

2017-01
Real number (ℝ)

MISSING  ZEROS 

Distinct132
Distinct (%)47.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean190.56318
Minimum0
Maximum16950
Zeros46
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:08.629966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median22
Q387
95-th percentile444.4
Maximum16950
Range16950
Interquartile range (IQR)85

Descriptive statistics

Standard deviation1108.2699
Coefficient of variation (CV)5.8157608
Kurtosis192.68699
Mean190.56318
Median Absolute Deviation (MAD)22
Skewness13.150291
Sum52786
Variance1228262.1
MonotonicityNot monotonic
2024-03-30T07:13:09.241713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
15.2%
1 14
 
4.6%
2 12
 
4.0%
3 9
 
3.0%
4 8
 
2.6%
5 6
 
2.0%
9 5
 
1.7%
8 5
 
1.7%
7 5
 
1.7%
15 5
 
1.7%
Other values (122) 162
53.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 46
15.2%
1 14
 
4.6%
2 12
 
4.0%
3 9
 
3.0%
4 8
 
2.6%
5 6
 
2.0%
6 3
 
1.0%
7 5
 
1.7%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
16950 1
0.3%
5149 1
0.3%
3647 1
0.3%
3327 1
0.3%
1352 1
0.3%
1276 1
0.3%
1143 1
0.3%
932 1
0.3%
720 1
0.3%
682 1
0.3%

2017-02
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)47.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean206.88809
Minimum0
Maximum18119
Zeros52
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:09.656326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q3109
95-th percentile613.4
Maximum18119
Range18119
Interquartile range (IQR)107

Descriptive statistics

Standard deviation1170.0795
Coefficient of variation (CV)5.6556156
Kurtosis201.56492
Mean206.88809
Median Absolute Deviation (MAD)23
Skewness13.472881
Sum57308
Variance1369086
MonotonicityNot monotonic
2024-03-30T07:13:10.064471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
17.2%
1 16
 
5.3%
3 10
 
3.3%
2 8
 
2.6%
4 6
 
2.0%
7 5
 
1.7%
10 5
 
1.7%
18 4
 
1.3%
27 4
 
1.3%
9 4
 
1.3%
Other values (121) 163
54.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 52
17.2%
1 16
 
5.3%
2 8
 
2.6%
3 10
 
3.3%
4 6
 
2.0%
5 4
 
1.3%
6 3
 
1.0%
7 5
 
1.7%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
18119 1
0.3%
4485 1
0.3%
3730 1
0.3%
3562 1
0.3%
2016 1
0.3%
1084 1
0.3%
935 1
0.3%
900 1
0.3%
793 1
0.3%
773 1
0.3%

2017-03
Real number (ℝ)

MISSING  ZEROS 

Distinct140
Distinct (%)50.5%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean217.62094
Minimum0
Maximum18989
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:10.494111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median31
Q3126
95-th percentile551
Maximum18989
Range18989
Interquartile range (IQR)124

Descriptive statistics

Standard deviation1230.7199
Coefficient of variation (CV)5.6553375
Kurtosis199.61076
Mean217.62094
Median Absolute Deviation (MAD)31
Skewness13.464513
Sum60281
Variance1514671.4
MonotonicityNot monotonic
2024-03-30T07:13:10.961968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
2 14
 
4.6%
1 13
 
4.3%
5 9
 
3.0%
12 6
 
2.0%
3 6
 
2.0%
4 5
 
1.7%
9 5
 
1.7%
14 4
 
1.3%
18 4
 
1.3%
Other values (130) 168
55.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 43
14.2%
1 13
 
4.3%
2 14
 
4.6%
3 6
 
2.0%
4 5
 
1.7%
5 9
 
3.0%
6 1
 
0.3%
7 1
 
0.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
18989 1
0.3%
6123 1
0.3%
3716 1
0.3%
2380 1
0.3%
1749 1
0.3%
1100 1
0.3%
996 1
0.3%
992 1
0.3%
680 1
0.3%
649 1
0.3%

2017-04
Real number (ℝ)

MISSING  ZEROS 

Distinct129
Distinct (%)46.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean185.47122
Minimum0
Maximum16366
Zeros41
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:11.417821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q396
95-th percentile498.15
Maximum16366
Range16366
Interquartile range (IQR)92

Descriptive statistics

Standard deviation1046.6611
Coefficient of variation (CV)5.6432532
Kurtosis208.79677
Mean185.47122
Median Absolute Deviation (MAD)24
Skewness13.774817
Sum51561
Variance1095499.4
MonotonicityNot monotonic
2024-03-30T07:13:12.001774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
13.6%
1 11
 
3.6%
3 10
 
3.3%
2 7
 
2.3%
9 6
 
2.0%
5 6
 
2.0%
17 6
 
2.0%
4 5
 
1.7%
21 5
 
1.7%
24 5
 
1.7%
Other values (119) 176
58.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 41
13.6%
1 11
 
3.6%
2 7
 
2.3%
3 10
 
3.3%
4 5
 
1.7%
5 6
 
2.0%
6 2
 
0.7%
7 5
 
1.7%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
16366 1
0.3%
4018 1
0.3%
3442 1
0.3%
2624 1
0.3%
1144 1
0.3%
966 1
0.3%
924 1
0.3%
844 1
0.3%
828 1
0.3%
823 1
0.3%

2017-05
Real number (ℝ)

MISSING  ZEROS 

Distinct139
Distinct (%)50.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean206.22302
Minimum0
Maximum18278
Zeros39
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:12.604633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27
Q3127.75
95-th percentile499.15
Maximum18278
Range18278
Interquartile range (IQR)123.75

Descriptive statistics

Standard deviation1168.3729
Coefficient of variation (CV)5.6655794
Kurtosis209.2648
Mean206.22302
Median Absolute Deviation (MAD)27
Skewness13.799844
Sum57330
Variance1365095.2
MonotonicityNot monotonic
2024-03-30T07:13:13.198688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
12.9%
1 13
 
4.3%
2 10
 
3.3%
10 7
 
2.3%
3 7
 
2.3%
6 6
 
2.0%
4 6
 
2.0%
7 5
 
1.7%
13 5
 
1.7%
8 5
 
1.7%
Other values (129) 175
57.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 39
12.9%
1 13
 
4.3%
2 10
 
3.3%
3 7
 
2.3%
4 6
 
2.0%
5 4
 
1.3%
6 6
 
2.0%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
18278 1
0.3%
4274 1
0.3%
4241 1
0.3%
2296 1
0.3%
2239 1
0.3%
970 2
0.7%
852 1
0.3%
706 1
0.3%
625 1
0.3%
587 1
0.3%

2017-06
Real number (ℝ)

MISSING  ZEROS 

Distinct142
Distinct (%)51.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean217.79856
Minimum0
Maximum19328
Zeros36
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:14.533249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median35.5
Q3107
95-th percentile491.45
Maximum19328
Range19328
Interquartile range (IQR)103

Descriptive statistics

Standard deviation1264.4123
Coefficient of variation (CV)5.805421
Kurtosis191.95557
Mean217.79856
Median Absolute Deviation (MAD)34.5
Skewness13.147982
Sum60548
Variance1598738.5
MonotonicityNot monotonic
2024-03-30T07:13:15.359391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
11.9%
1 15
 
5.0%
2 12
 
4.0%
10 6
 
2.0%
4 6
 
2.0%
5 5
 
1.7%
16 5
 
1.7%
3 5
 
1.7%
9 4
 
1.3%
37 4
 
1.3%
Other values (132) 180
59.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 36
11.9%
1 15
5.0%
2 12
 
4.0%
3 5
 
1.7%
4 6
 
2.0%
5 5
 
1.7%
6 2
 
0.7%
7 3
 
1.0%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
19328 1
0.3%
5820 1
0.3%
5362 1
0.3%
2332 1
0.3%
2202 1
0.3%
1215 1
0.3%
1145 1
0.3%
860 1
0.3%
669 1
0.3%
651 1
0.3%

2017-07
Real number (ℝ)

MISSING  ZEROS 

Distinct141
Distinct (%)50.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean287.78853
Minimum0
Maximum25950
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:16.303168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median26
Q3138
95-th percentile652.3
Maximum25950
Range25950
Interquartile range (IQR)136

Descriptive statistics

Standard deviation1713.4934
Coefficient of variation (CV)5.9540018
Kurtosis185.46479
Mean287.78853
Median Absolute Deviation (MAD)26
Skewness12.906108
Sum80293
Variance2936059.7
MonotonicityNot monotonic
2024-03-30T07:13:17.157300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
1 13
 
4.3%
2 11
 
3.6%
3 9
 
3.0%
9 7
 
2.3%
8 6
 
2.0%
13 6
 
2.0%
4 5
 
1.7%
15 5
 
1.7%
34 3
 
1.0%
Other values (131) 166
55.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 48
15.9%
1 13
 
4.3%
2 11
 
3.6%
3 9
 
3.0%
4 5
 
1.7%
5 2
 
0.7%
6 3
 
1.0%
7 2
 
0.7%
8 6
 
2.0%
9 7
 
2.3%
ValueCountFrequency (%)
25950 1
0.3%
9530 1
0.3%
5692 1
0.3%
3966 1
0.3%
3010 1
0.3%
1971 1
0.3%
1427 1
0.3%
1020 1
0.3%
921 1
0.3%
917 1
0.3%

2017-08
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)49.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean244.44803
Minimum0
Maximum21593
Zeros46
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:17.686813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median32
Q3141.5
95-th percentile746.6
Maximum21593
Range21593
Interquartile range (IQR)138.5

Descriptive statistics

Standard deviation1395.3783
Coefficient of variation (CV)5.7082822
Kurtosis200.1426
Mean244.44803
Median Absolute Deviation (MAD)32
Skewness13.446495
Sum68201
Variance1947080.7
MonotonicityNot monotonic
2024-03-30T07:13:18.125615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
15.2%
1 16
 
5.3%
5 7
 
2.3%
8 6
 
2.0%
2 6
 
2.0%
3 5
 
1.7%
6 5
 
1.7%
11 4
 
1.3%
4 4
 
1.3%
12 4
 
1.3%
Other values (127) 176
58.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 46
15.2%
1 16
 
5.3%
2 6
 
2.0%
3 5
 
1.7%
4 4
 
1.3%
5 7
 
2.3%
6 5
 
1.7%
7 1
 
0.3%
8 6
 
2.0%
9 1
 
0.3%
ValueCountFrequency (%)
21593 1
0.3%
5703 1
0.3%
5658 1
0.3%
3341 1
0.3%
1302 1
0.3%
1269 1
0.3%
1051 1
0.3%
922 1
0.3%
920 1
0.3%
869 1
0.3%

2017-09
Real number (ℝ)

MISSING  ZEROS 

Distinct139
Distinct (%)49.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean223.15412
Minimum0
Maximum19711
Zeros46
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:18.544421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median28
Q3128
95-th percentile607.2
Maximum19711
Range19711
Interquartile range (IQR)125

Descriptive statistics

Standard deviation1269.3038
Coefficient of variation (CV)5.6880143
Kurtosis203.13557
Mean223.15412
Median Absolute Deviation (MAD)28
Skewness13.580509
Sum62260
Variance1611132.2
MonotonicityNot monotonic
2024-03-30T07:13:19.216990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
15.2%
1 16
 
5.3%
4 8
 
2.6%
2 6
 
2.0%
28 5
 
1.7%
7 5
 
1.7%
5 4
 
1.3%
44 4
 
1.3%
14 4
 
1.3%
6 4
 
1.3%
Other values (129) 177
58.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 46
15.2%
1 16
 
5.3%
2 6
 
2.0%
3 3
 
1.0%
4 8
 
2.6%
5 4
 
1.3%
6 4
 
1.3%
7 5
 
1.7%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
19711 1
0.3%
6021 1
0.3%
4051 1
0.3%
2029 1
0.3%
1898 1
0.3%
1554 1
0.3%
1127 1
0.3%
918 1
0.3%
870 1
0.3%
783 1
0.3%

2017-10
Real number (ℝ)

MISSING  ZEROS 

Distinct124
Distinct (%)44.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean198.6129
Minimum0
Maximum17353
Zeros44
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:19.950247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20
Q398
95-th percentile532.2
Maximum17353
Range17353
Interquartile range (IQR)96

Descriptive statistics

Standard deviation1168.0895
Coefficient of variation (CV)5.8812368
Kurtosis175.21219
Mean198.6129
Median Absolute Deviation (MAD)20
Skewness12.608587
Sum55413
Variance1364433.1
MonotonicityNot monotonic
2024-03-30T07:13:20.572612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
14.6%
1 21
 
7.0%
3 13
 
4.3%
2 12
 
4.0%
5 7
 
2.3%
9 6
 
2.0%
4 6
 
2.0%
8 5
 
1.7%
7 5
 
1.7%
21 4
 
1.3%
Other values (114) 156
51.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 44
14.6%
1 21
7.0%
2 12
 
4.0%
3 13
 
4.3%
4 6
 
2.0%
5 7
 
2.3%
6 4
 
1.3%
7 5
 
1.7%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
17353 1
0.3%
7949 1
0.3%
2831 1
0.3%
2195 1
0.3%
1948 1
0.3%
1168 1
0.3%
1021 1
0.3%
964 1
0.3%
727 1
0.3%
666 1
0.3%

2017-11
Real number (ℝ)

MISSING  ZEROS 

Distinct142
Distinct (%)50.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean259.52688
Minimum0
Maximum23251
Zeros40
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:21.026463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median31
Q3134.5
95-th percentile762.5
Maximum23251
Range23251
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation1507.9144
Coefficient of variation (CV)5.8102434
Kurtosis198.59011
Mean259.52688
Median Absolute Deviation (MAD)31
Skewness13.437177
Sum72408
Variance2273805.7
MonotonicityNot monotonic
2024-03-30T07:13:21.475521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
 
13.2%
3 10
 
3.3%
1 10
 
3.3%
2 9
 
3.0%
4 6
 
2.0%
17 5
 
1.7%
6 5
 
1.7%
7 5
 
1.7%
14 5
 
1.7%
9 5
 
1.7%
Other values (132) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 40
13.2%
1 10
 
3.3%
2 9
 
3.0%
3 10
 
3.3%
4 6
 
2.0%
5 2
 
0.7%
6 5
 
1.7%
7 5
 
1.7%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
23251 1
0.3%
8226 1
0.3%
3453 1
0.3%
2625 1
0.3%
1793 1
0.3%
1650 1
0.3%
1611 1
0.3%
1392 1
0.3%
1310 1
0.3%
1173 1
0.3%

2017-12
Real number (ℝ)

MISSING  ZEROS 

Distinct146
Distinct (%)52.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean248.46595
Minimum0
Maximum22209
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:22.092182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median36
Q3135.5
95-th percentile720.3
Maximum22209
Range22209
Interquartile range (IQR)132

Descriptive statistics

Standard deviation1436.0263
Coefficient of variation (CV)5.7795699
Kurtosis200.83887
Mean248.46595
Median Absolute Deviation (MAD)36
Skewness13.538821
Sum69322
Variance2062171.6
MonotonicityNot monotonic
2024-03-30T07:13:22.540329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
1 12
 
4.0%
2 9
 
3.0%
4 7
 
2.3%
3 6
 
2.0%
13 5
 
1.7%
5 5
 
1.7%
60 4
 
1.3%
36 4
 
1.3%
51 4
 
1.3%
Other values (136) 180
59.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 43
14.2%
1 12
 
4.0%
2 9
 
3.0%
3 6
 
2.0%
4 7
 
2.3%
5 5
 
1.7%
6 3
 
1.0%
7 2
 
0.7%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
22209 1
0.3%
7711 1
0.3%
3853 1
0.3%
2005 1
0.3%
2001 1
0.3%
1289 1
0.3%
1241 1
0.3%
1059 1
0.3%
935 1
0.3%
919 1
0.3%

2018-01
Real number (ℝ)

MISSING  ZEROS 

Distinct142
Distinct (%)50.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean230.26523
Minimum0
Maximum20472
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:23.305452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median28
Q3138
95-th percentile657
Maximum20472
Range20472
Interquartile range (IQR)136

Descriptive statistics

Standard deviation1324.7268
Coefficient of variation (CV)5.7530474
Kurtosis200.21992
Mean230.26523
Median Absolute Deviation (MAD)28
Skewness13.514367
Sum64244
Variance1754901.1
MonotonicityNot monotonic
2024-03-30T07:13:23.815529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
1 20
 
6.6%
3 10
 
3.3%
8 5
 
1.7%
2 5
 
1.7%
10 5
 
1.7%
15 4
 
1.3%
6 4
 
1.3%
22 4
 
1.3%
30 4
 
1.3%
Other values (132) 170
56.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 48
15.9%
1 20
6.6%
2 5
 
1.7%
3 10
 
3.3%
4 3
 
1.0%
5 3
 
1.0%
6 4
 
1.3%
7 3
 
1.0%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
20472 1
0.3%
7129 1
0.3%
3703 1
0.3%
1749 1
0.3%
1507 1
0.3%
1433 1
0.3%
992 1
0.3%
973 1
0.3%
938 1
0.3%
859 1
0.3%

2018-02
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)49.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean209.73835
Minimum0
Maximum18747
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:24.477294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median27
Q3109.5
95-th percentile609.4
Maximum18747
Range18747
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation1222.5467
Coefficient of variation (CV)5.8289135
Kurtosis195.31402
Mean209.73835
Median Absolute Deviation (MAD)27
Skewness13.360088
Sum58517
Variance1494620.5
MonotonicityNot monotonic
2024-03-30T07:13:25.028830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
1 23
 
7.6%
17 8
 
2.6%
2 8
 
2.6%
3 6
 
2.0%
4 5
 
1.7%
27 5
 
1.7%
5 4
 
1.3%
62 4
 
1.3%
60 3
 
1.0%
Other values (127) 170
56.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 43
14.2%
1 23
7.6%
2 8
 
2.6%
3 6
 
2.0%
4 5
 
1.7%
5 4
 
1.3%
6 3
 
1.0%
7 3
 
1.0%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
18747 1
0.3%
7220 1
0.3%
2664 1
0.3%
2033 1
0.3%
1183 1
0.3%
1103 1
0.3%
1005 1
0.3%
974 1
0.3%
969 1
0.3%
830 1
0.3%

2018-03
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)52.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean276.94982
Minimum0
Maximum24496
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:25.567634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median34
Q3141.5
95-th percentile667
Maximum24496
Range24496
Interquartile range (IQR)137

Descriptive statistics

Standard deviation1613.392
Coefficient of variation (CV)5.8255752
Kurtosis186.34596
Mean276.94982
Median Absolute Deviation (MAD)33
Skewness12.905041
Sum77269
Variance2603033.8
MonotonicityNot monotonic
2024-03-30T07:13:26.128300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 17
 
5.6%
2 14
 
4.6%
7 7
 
2.3%
5 6
 
2.0%
16 5
 
1.7%
15 5
 
1.7%
27 4
 
1.3%
6 4
 
1.3%
3 4
 
1.3%
Other values (137) 180
59.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 33
10.9%
1 17
5.6%
2 14
4.6%
3 4
 
1.3%
4 2
 
0.7%
5 6
 
2.0%
6 4
 
1.3%
7 7
 
2.3%
8 3
 
1.0%
9 1
 
0.3%
ValueCountFrequency (%)
24496 1
0.3%
7874 1
0.3%
6326 1
0.3%
4640 1
0.3%
2259 1
0.3%
1546 1
0.3%
1324 1
0.3%
1312 1
0.3%
958 1
0.3%
911 1
0.3%

2018-04
Real number (ℝ)

MISSING  ZEROS 

Distinct145
Distinct (%)52.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean211.1362
Minimum0
Maximum18638
Zeros41
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:26.552682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median33
Q3130.5
95-th percentile572.3
Maximum18638
Range18638
Interquartile range (IQR)126.5

Descriptive statistics

Standard deviation1200.0477
Coefficient of variation (CV)5.6837612
Kurtosis203.52661
Mean211.1362
Median Absolute Deviation (MAD)33
Skewness13.625901
Sum58907
Variance1440114.6
MonotonicityNot monotonic
2024-03-30T07:13:27.020373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
13.6%
1 16
 
5.3%
2 6
 
2.0%
4 6
 
2.0%
18 5
 
1.7%
36 4
 
1.3%
5 4
 
1.3%
8 4
 
1.3%
3 4
 
1.3%
23 4
 
1.3%
Other values (135) 185
61.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 41
13.6%
1 16
 
5.3%
2 6
 
2.0%
3 4
 
1.3%
4 6
 
2.0%
5 4
 
1.3%
6 3
 
1.0%
7 2
 
0.7%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
18638 1
0.3%
5912 1
0.3%
3915 1
0.3%
1930 1
0.3%
1258 1
0.3%
951 1
0.3%
886 1
0.3%
883 1
0.3%
826 1
0.3%
698 1
0.3%

2018-05
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)52.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean231.2724
Minimum0
Maximum20788
Zeros35
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:27.476636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median34
Q3126.5
95-th percentile618.8
Maximum20788
Range20788
Interquartile range (IQR)122

Descriptive statistics

Standard deviation1318.6218
Coefficient of variation (CV)5.701596
Kurtosis215.05057
Mean231.2724
Median Absolute Deviation (MAD)34
Skewness14.027562
Sum64525
Variance1738763.4
MonotonicityNot monotonic
2024-03-30T07:13:27.852294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
11.6%
1 15
 
5.0%
2 7
 
2.3%
5 7
 
2.3%
4 7
 
2.3%
3 6
 
2.0%
8 5
 
1.7%
17 4
 
1.3%
15 4
 
1.3%
44 3
 
1.0%
Other values (137) 186
61.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 35
11.6%
1 15
5.0%
2 7
 
2.3%
3 6
 
2.0%
4 7
 
2.3%
5 7
 
2.3%
6 2
 
0.7%
7 3
 
1.0%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
20788 1
0.3%
5035 1
0.3%
4148 1
0.3%
2492 1
0.3%
1875 1
0.3%
1673 1
0.3%
1041 1
0.3%
930 1
0.3%
894 1
0.3%
795 1
0.3%

2018-06
Real number (ℝ)

MISSING  ZEROS 

Distinct141
Distinct (%)50.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean231.65233
Minimum0
Maximum20903
Zeros35
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:28.265730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median39
Q3115.5
95-th percentile566.5
Maximum20903
Range20903
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation1342.353
Coefficient of variation (CV)5.7946883
Kurtosis205.47437
Mean231.65233
Median Absolute Deviation (MAD)38
Skewness13.684328
Sum64631
Variance1801911.7
MonotonicityNot monotonic
2024-03-30T07:13:28.725485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
11.6%
1 17
 
5.6%
2 9
 
3.0%
4 9
 
3.0%
39 7
 
2.3%
6 5
 
1.7%
14 5
 
1.7%
3 5
 
1.7%
5 4
 
1.3%
38 4
 
1.3%
Other values (131) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 35
11.6%
1 17
5.6%
2 9
 
3.0%
3 5
 
1.7%
4 9
 
3.0%
5 4
 
1.3%
6 5
 
1.7%
7 3
 
1.0%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
20903 1
0.3%
6037 1
0.3%
4815 1
0.3%
2223 1
0.3%
1453 1
0.3%
1238 1
0.3%
1143 1
0.3%
875 1
0.3%
850 1
0.3%
791 1
0.3%

2018-07
Real number (ℝ)

MISSING  ZEROS 

Distinct153
Distinct (%)54.6%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean298.31071
Minimum0
Maximum26948
Zeros34
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:29.081047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.75
median53.5
Q3164.75
95-th percentile699
Maximum26948
Range26948
Interquartile range (IQR)160

Descriptive statistics

Standard deviation1732.2585
Coefficient of variation (CV)5.8068933
Kurtosis204.15379
Mean298.31071
Median Absolute Deviation (MAD)52.5
Skewness13.632384
Sum83527
Variance3000719.5
MonotonicityNot monotonic
2024-03-30T07:13:29.488376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
11.3%
1 15
 
5.0%
2 10
 
3.3%
4 6
 
2.0%
3 5
 
1.7%
153 5
 
1.7%
74 4
 
1.3%
30 4
 
1.3%
15 4
 
1.3%
11 3
 
1.0%
Other values (143) 190
62.9%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 34
11.3%
1 15
5.0%
2 10
 
3.3%
3 5
 
1.7%
4 6
 
2.0%
5 3
 
1.0%
6 3
 
1.0%
7 2
 
0.7%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
26948 1
0.3%
8237 1
0.3%
5934 1
0.3%
2352 1
0.3%
2230 1
0.3%
1875 1
0.3%
1774 1
0.3%
1443 1
0.3%
1193 1
0.3%
1181 1
0.3%

2018-08
Real number (ℝ)

MISSING  ZEROS 

Distinct153
Distinct (%)54.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean282.77061
Minimum0
Maximum24747
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:30.200326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median43
Q3187
95-th percentile862
Maximum24747
Range24747
Interquartile range (IQR)182

Descriptive statistics

Standard deviation1562.0119
Coefficient of variation (CV)5.5239541
Kurtosis218.96957
Mean282.77061
Median Absolute Deviation (MAD)42
Skewness14.17653
Sum78893
Variance2439881.1
MonotonicityNot monotonic
2024-03-30T07:13:30.894100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 15
 
5.0%
2 13
 
4.3%
3 6
 
2.0%
8 6
 
2.0%
17 5
 
1.7%
25 5
 
1.7%
10 4
 
1.3%
50 4
 
1.3%
15 4
 
1.3%
Other values (143) 185
61.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 15
5.0%
2 13
4.3%
3 6
 
2.0%
4 3
 
1.0%
5 2
 
0.7%
6 2
 
0.7%
7 2
 
0.7%
8 6
 
2.0%
9 2
 
0.7%
ValueCountFrequency (%)
24747 1
0.3%
5950 1
0.3%
4433 1
0.3%
1788 1
0.3%
1741 1
0.3%
1733 1
0.3%
1615 1
0.3%
1550 1
0.3%
1546 1
0.3%
1328 1
0.3%

2018-09
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)49.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean231.90323
Minimum0
Maximum20381
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:31.577841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median34
Q3115
95-th percentile740.6
Maximum20381
Range20381
Interquartile range (IQR)112

Descriptive statistics

Standard deviation1294.0324
Coefficient of variation (CV)5.5800537
Kurtosis213.93845
Mean231.90323
Median Absolute Deviation (MAD)33
Skewness13.961755
Sum64701
Variance1674520
MonotonicityNot monotonic
2024-03-30T07:13:32.645215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 19
 
6.3%
2 16
 
5.3%
3 8
 
2.6%
5 8
 
2.6%
34 7
 
2.3%
7 5
 
1.7%
6 5
 
1.7%
12 4
 
1.3%
25 4
 
1.3%
Other values (127) 174
57.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 29
9.6%
1 19
6.3%
2 16
5.3%
3 8
 
2.6%
4 2
 
0.7%
5 8
 
2.6%
6 5
 
1.7%
7 5
 
1.7%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
20381 1
0.3%
4775 1
0.3%
4220 1
0.3%
1608 1
0.3%
1584 1
0.3%
1544 1
0.3%
1519 1
0.3%
1430 1
0.3%
1218 1
0.3%
1031 1
0.3%

2018-10
Real number (ℝ)

MISSING  ZEROS 

Distinct139
Distinct (%)49.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean265.97133
Minimum0
Maximum23773
Zeros40
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:33.241079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median36
Q3139
95-th percentile667.9
Maximum23773
Range23773
Interquartile range (IQR)136

Descriptive statistics

Standard deviation1524.2856
Coefficient of variation (CV)5.7310147
Kurtosis206.56066
Mean265.97133
Median Absolute Deviation (MAD)36
Skewness13.71411
Sum74206
Variance2323446.6
MonotonicityNot monotonic
2024-03-30T07:13:33.684628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
 
13.2%
1 12
 
4.0%
2 12
 
4.0%
3 9
 
3.0%
8 6
 
2.0%
6 5
 
1.7%
4 5
 
1.7%
13 4
 
1.3%
17 4
 
1.3%
12 4
 
1.3%
Other values (129) 178
58.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 40
13.2%
1 12
 
4.0%
2 12
 
4.0%
3 9
 
3.0%
4 5
 
1.7%
5 1
 
0.3%
6 5
 
1.7%
7 3
 
1.0%
8 6
 
2.0%
9 1
 
0.3%
ValueCountFrequency (%)
23773 1
0.3%
6906 1
0.3%
5035 1
0.3%
2158 1
0.3%
1599 1
0.3%
1545 1
0.3%
1455 1
0.3%
1451 1
0.3%
1391 1
0.3%
995 1
0.3%

2018-11
Real number (ℝ)

MISSING  ZEROS 

Distinct153
Distinct (%)54.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean271.58781
Minimum0
Maximum23972
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:34.209402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median42
Q3171.5
95-th percentile630.5
Maximum23972
Range23972
Interquartile range (IQR)165.5

Descriptive statistics

Standard deviation1538.9273
Coefficient of variation (CV)5.6664077
Kurtosis205.93313
Mean271.58781
Median Absolute Deviation (MAD)41
Skewness13.728846
Sum75773
Variance2368297.2
MonotonicityNot monotonic
2024-03-30T07:13:34.869774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 15
 
5.0%
2 7
 
2.3%
3 7
 
2.3%
6 7
 
2.3%
11 5
 
1.7%
4 5
 
1.7%
8 4
 
1.3%
25 4
 
1.3%
13 4
 
1.3%
Other values (143) 189
62.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 15
5.0%
2 7
 
2.3%
3 7
 
2.3%
4 5
 
1.7%
5 1
 
0.3%
6 7
 
2.3%
7 3
 
1.0%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
23972 1
0.3%
7623 1
0.3%
4807 1
0.3%
1764 1
0.3%
1602 1
0.3%
1331 1
0.3%
1228 1
0.3%
1194 1
0.3%
990 1
0.3%
888 1
0.3%

2018-12
Real number (ℝ)

MISSING  ZEROS 

Distinct149
Distinct (%)53.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean281.55914
Minimum0
Maximum24888
Zeros26
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:35.409654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median35
Q3136
95-th percentile859.6
Maximum24888
Range24888
Interquartile range (IQR)131

Descriptive statistics

Standard deviation1593.3301
Coefficient of variation (CV)5.6589536
Kurtosis207.53212
Mean281.55914
Median Absolute Deviation (MAD)34
Skewness13.732249
Sum78555
Variance2538700.8
MonotonicityNot monotonic
2024-03-30T07:13:35.918738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
8.6%
1 17
 
5.6%
2 11
 
3.6%
4 8
 
2.6%
5 8
 
2.6%
7 7
 
2.3%
3 7
 
2.3%
24 6
 
2.0%
21 6
 
2.0%
9 5
 
1.7%
Other values (139) 178
58.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 26
8.6%
1 17
5.6%
2 11
3.6%
3 7
 
2.3%
4 8
 
2.6%
5 8
 
2.6%
6 5
 
1.7%
7 7
 
2.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
24888 1
0.3%
7179 1
0.3%
4123 1
0.3%
3397 1
0.3%
2422 1
0.3%
2170 1
0.3%
1225 1
0.3%
1208 1
0.3%
1177 1
0.3%
985 1
0.3%

2019-01
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)52.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean290.78136
Minimum0
Maximum25780
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:36.606343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median35
Q3141
95-th percentile867.1
Maximum25780
Range25780
Interquartile range (IQR)137

Descriptive statistics

Standard deviation1670.9747
Coefficient of variation (CV)5.7464986
Kurtosis198.1575
Mean290.78136
Median Absolute Deviation (MAD)34
Skewness13.380522
Sum81128
Variance2792156.4
MonotonicityNot monotonic
2024-03-30T07:13:37.155820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 18
 
6.0%
3 11
 
3.6%
4 7
 
2.3%
2 7
 
2.3%
6 7
 
2.3%
29 5
 
1.7%
36 5
 
1.7%
10 5
 
1.7%
73 4
 
1.3%
Other values (137) 180
59.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 30
9.9%
1 18
6.0%
2 7
 
2.3%
3 11
 
3.6%
4 7
 
2.3%
5 4
 
1.3%
6 7
 
2.3%
7 3
 
1.0%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
25780 1
0.3%
7926 1
0.3%
6148 1
0.3%
2211 1
0.3%
2178 1
0.3%
2129 1
0.3%
1780 1
0.3%
1622 1
0.3%
1034 1
0.3%
1021 1
0.3%

2019-02
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)46.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean189.10036
Minimum0
Maximum17020
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:38.164788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median27
Q3108
95-th percentile469.4
Maximum17020
Range17020
Interquartile range (IQR)104.5

Descriptive statistics

Standard deviation1085.4778
Coefficient of variation (CV)5.7402207
Kurtosis210.96292
Mean189.10036
Median Absolute Deviation (MAD)26
Skewness13.887141
Sum52759
Variance1178262.1
MonotonicityNot monotonic
2024-03-30T07:13:38.628986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 14
 
4.6%
2 13
 
4.3%
4 11
 
3.6%
3 10
 
3.3%
6 9
 
3.0%
7 5
 
1.7%
5 5
 
1.7%
27 5
 
1.7%
9 5
 
1.7%
Other values (120) 169
56.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 33
10.9%
1 14
4.6%
2 13
 
4.3%
3 10
 
3.3%
4 11
 
3.6%
5 5
 
1.7%
6 9
 
3.0%
7 5
 
1.7%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
17020 1
0.3%
4998 1
0.3%
2528 1
0.3%
1842 1
0.3%
1712 1
0.3%
1211 1
0.3%
1088 1
0.3%
1007 1
0.3%
917 1
0.3%
852 1
0.3%

2019-03
Real number (ℝ)

MISSING  ZEROS 

Distinct145
Distinct (%)52.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean270.84946
Minimum0
Maximum24411
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:39.041444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median36
Q3151
95-th percentile636.9
Maximum24411
Range24411
Interquartile range (IQR)148

Descriptive statistics

Standard deviation1547.6918
Coefficient of variation (CV)5.714214
Kurtosis215.48094
Mean270.84946
Median Absolute Deviation (MAD)35
Skewness14.04092
Sum75567
Variance2395349.9
MonotonicityNot monotonic
2024-03-30T07:13:39.418525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 24
 
7.9%
3 11
 
3.6%
2 8
 
2.6%
4 8
 
2.6%
21 5
 
1.7%
5 4
 
1.3%
23 4
 
1.3%
8 4
 
1.3%
38 3
 
1.0%
Other values (135) 177
58.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 31
10.3%
1 24
7.9%
2 8
 
2.6%
3 11
 
3.6%
4 8
 
2.6%
5 4
 
1.3%
6 2
 
0.7%
7 2
 
0.7%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
24411 1
0.3%
5996 1
0.3%
4718 1
0.3%
2255 1
0.3%
2181 1
0.3%
1849 1
0.3%
1724 1
0.3%
1394 1
0.3%
1361 1
0.3%
1352 1
0.3%

2019-04
Real number (ℝ)

MISSING  ZEROS 

Distinct156
Distinct (%)55.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean266.92115
Minimum0
Maximum23452
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:40.026103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median46
Q3160
95-th percentile663.5
Maximum23452
Range23452
Interquartile range (IQR)155

Descriptive statistics

Standard deviation1505.6733
Coefficient of variation (CV)5.6408919
Kurtosis206.08069
Mean266.92115
Median Absolute Deviation (MAD)45
Skewness13.746995
Sum74471
Variance2267052.2
MonotonicityNot monotonic
2024-03-30T07:13:40.694652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 16
 
5.3%
2 9
 
3.0%
9 6
 
2.0%
3 5
 
1.7%
26 5
 
1.7%
20 5
 
1.7%
5 5
 
1.7%
4 4
 
1.3%
10 4
 
1.3%
Other values (146) 188
62.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 16
5.3%
2 9
 
3.0%
3 5
 
1.7%
4 4
 
1.3%
5 5
 
1.7%
6 3
 
1.0%
7 1
 
0.3%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
23452 1
0.3%
7811 1
0.3%
3976 1
0.3%
1694 1
0.3%
1572 1
0.3%
1523 1
0.3%
1247 1
0.3%
1229 1
0.3%
1045 1
0.3%
1001 1
0.3%

2019-05
Real number (ℝ)

MISSING  ZEROS 

Distinct148
Distinct (%)53.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean291.67384
Minimum0
Maximum25970
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:41.378970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median41
Q3168.5
95-th percentile683.8
Maximum25970
Range25970
Interquartile range (IQR)164.5

Descriptive statistics

Standard deviation1666.7548
Coefficient of variation (CV)5.7144474
Kurtosis206.31567
Mean291.67384
Median Absolute Deviation (MAD)41
Skewness13.73972
Sum81377
Variance2778071.5
MonotonicityNot monotonic
2024-03-30T07:13:41.899051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
3 16
 
5.3%
1 12
 
4.0%
2 8
 
2.6%
17 6
 
2.0%
4 6
 
2.0%
8 5
 
1.7%
5 5
 
1.7%
25 5
 
1.7%
7 5
 
1.7%
Other values (138) 181
59.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 30
9.9%
1 12
 
4.0%
2 8
 
2.6%
3 16
5.3%
4 6
 
2.0%
5 5
 
1.7%
6 1
 
0.3%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
25970 1
0.3%
8508 1
0.3%
4007 1
0.3%
2457 1
0.3%
2004 1
0.3%
1874 1
0.3%
1461 1
0.3%
1444 1
0.3%
1415 1
0.3%
1278 1
0.3%

2019-06
Real number (ℝ)

MISSING  ZEROS 

Distinct148
Distinct (%)53.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean280.22939
Minimum0
Maximum24790
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:42.808467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median34
Q3166.5
95-th percentile871.1
Maximum24790
Range24790
Interquartile range (IQR)162.5

Descriptive statistics

Standard deviation1607.316
Coefficient of variation (CV)5.7357154
Kurtosis199.02483
Mean280.22939
Median Absolute Deviation (MAD)33
Skewness13.489562
Sum78184
Variance2583464.9
MonotonicityNot monotonic
2024-03-30T07:13:43.355483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
2 13
 
4.3%
3 12
 
4.0%
1 9
 
3.0%
4 7
 
2.3%
5 6
 
2.0%
9 5
 
1.7%
7 5
 
1.7%
11 5
 
1.7%
16 4
 
1.3%
Other values (138) 182
60.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 31
10.3%
1 9
 
3.0%
2 13
4.3%
3 12
 
4.0%
4 7
 
2.3%
5 6
 
2.0%
6 3
 
1.0%
7 5
 
1.7%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
24790 1
0.3%
8974 1
0.3%
4455 1
0.3%
1613 1
0.3%
1542 1
0.3%
1351 1
0.3%
1293 1
0.3%
1269 1
0.3%
1124 1
0.3%
1078 1
0.3%

2019-07
Real number (ℝ)

MISSING  ZEROS 

Distinct155
Distinct (%)55.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean334.09677
Minimum0
Maximum30045
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:43.934958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.5
median44
Q3202.5
95-th percentile1076.2
Maximum30045
Range30045
Interquartile range (IQR)194

Descriptive statistics

Standard deviation1925.3972
Coefficient of variation (CV)5.7629924
Kurtosis207.38156
Mean334.09677
Median Absolute Deviation (MAD)43
Skewness13.767465
Sum93213
Variance3707154.2
MonotonicityNot monotonic
2024-03-30T07:13:44.536258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
7.9%
2 11
 
3.6%
1 11
 
3.6%
3 10
 
3.3%
11 8
 
2.6%
16 6
 
2.0%
44 6
 
2.0%
8 4
 
1.3%
13 4
 
1.3%
18 4
 
1.3%
Other values (145) 191
63.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 24
7.9%
1 11
3.6%
2 11
3.6%
3 10
3.3%
4 4
 
1.3%
5 3
 
1.0%
7 3
 
1.0%
8 4
 
1.3%
9 3
 
1.0%
10 3
 
1.0%
ValueCountFrequency (%)
30045 1
0.3%
9494 1
0.3%
4272 1
0.3%
4104 1
0.3%
1882 1
0.3%
1879 1
0.3%
1734 1
0.3%
1636 1
0.3%
1440 1
0.3%
1362 1
0.3%

2019-08
Real number (ℝ)

MISSING  ZEROS 

Distinct149
Distinct (%)53.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean283.00358
Minimum0
Maximum25511
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:45.136644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median41
Q3154.5
95-th percentile695.6
Maximum25511
Range25511
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation1631.6499
Coefficient of variation (CV)5.7654744
Kurtosis208.88088
Mean283.00358
Median Absolute Deviation (MAD)40
Skewness13.824038
Sum78958
Variance2662281.4
MonotonicityNot monotonic
2024-03-30T07:13:45.803395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
2 11
 
3.6%
1 11
 
3.6%
3 8
 
2.6%
4 7
 
2.3%
14 6
 
2.0%
7 6
 
2.0%
6 5
 
1.7%
5 5
 
1.7%
23 4
 
1.3%
Other values (139) 184
60.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 11
 
3.6%
2 11
 
3.6%
3 8
 
2.6%
4 7
 
2.3%
5 5
 
1.7%
6 5
 
1.7%
7 6
 
2.0%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
25511 1
0.3%
7857 1
0.3%
4106 1
0.3%
2665 1
0.3%
2400 1
0.3%
1638 1
0.3%
1472 1
0.3%
1436 1
0.3%
1312 1
0.3%
907 1
0.3%

2019-09
Real number (ℝ)

MISSING  ZEROS 

Distinct141
Distinct (%)50.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean273.64875
Minimum0
Maximum24427
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:46.519643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median30
Q3123
95-th percentile570.2
Maximum24427
Range24427
Interquartile range (IQR)119

Descriptive statistics

Standard deviation1617.9751
Coefficient of variation (CV)5.9125984
Kurtosis185.263
Mean273.64875
Median Absolute Deviation (MAD)30
Skewness12.996582
Sum76348
Variance2617843.5
MonotonicityNot monotonic
2024-03-30T07:13:47.301710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 16
 
5.3%
2 13
 
4.3%
4 8
 
2.6%
20 7
 
2.3%
7 6
 
2.0%
21 5
 
1.7%
28 5
 
1.7%
12 4
 
1.3%
5 4
 
1.3%
Other values (131) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 16
5.3%
2 13
4.3%
3 4
 
1.3%
4 8
 
2.6%
5 4
 
1.3%
6 4
 
1.3%
7 6
 
2.0%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
24427 1
0.3%
10415 1
0.3%
3418 1
0.3%
2468 1
0.3%
2173 1
0.3%
2147 1
0.3%
2029 1
0.3%
1524 1
0.3%
978 1
0.3%
809 1
0.3%

2019-10
Real number (ℝ)

MISSING  ZEROS 

Distinct151
Distinct (%)54.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean251.9319
Minimum0
Maximum22313
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:47.950581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median39
Q3163.5
95-th percentile570
Maximum22313
Range22313
Interquartile range (IQR)159.5

Descriptive statistics

Standard deviation1445.0167
Coefficient of variation (CV)5.7357432
Kurtosis199.90606
Mean251.9319
Median Absolute Deviation (MAD)38
Skewness13.521153
Sum70289
Variance2088073.2
MonotonicityNot monotonic
2024-03-30T07:13:48.380945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
3 14
 
4.6%
2 11
 
3.6%
1 10
 
3.3%
4 9
 
3.0%
7 5
 
1.7%
12 5
 
1.7%
8 4
 
1.3%
6 4
 
1.3%
80 4
 
1.3%
Other values (141) 181
59.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 10
 
3.3%
2 11
 
3.6%
3 14
4.6%
4 9
 
3.0%
5 4
 
1.3%
6 4
 
1.3%
7 5
 
1.7%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
22313 1
0.3%
8071 1
0.3%
3381 1
0.3%
2124 1
0.3%
1808 1
0.3%
1760 1
0.3%
1369 1
0.3%
1307 1
0.3%
855 1
0.3%
848 1
0.3%

2019-11
Real number (ℝ)

MISSING  ZEROS 

Distinct146
Distinct (%)52.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean286.86022
Minimum0
Maximum25587
Zeros29
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:49.016926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median40
Q3167
95-th percentile831
Maximum25587
Range25587
Interquartile range (IQR)162

Descriptive statistics

Standard deviation1646.2416
Coefficient of variation (CV)5.7388284
Kurtosis205.02507
Mean286.86022
Median Absolute Deviation (MAD)39
Skewness13.732621
Sum80034
Variance2710111.3
MonotonicityNot monotonic
2024-03-30T07:13:49.548619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
9.6%
1 12
 
4.0%
2 11
 
3.6%
3 10
 
3.3%
5 6
 
2.0%
4 6
 
2.0%
22 4
 
1.3%
36 4
 
1.3%
61 4
 
1.3%
9 4
 
1.3%
Other values (136) 189
62.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 29
9.6%
1 12
4.0%
2 11
 
3.6%
3 10
 
3.3%
4 6
 
2.0%
5 6
 
2.0%
6 3
 
1.0%
7 2
 
0.7%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
25587 1
0.3%
9049 1
0.3%
3560 1
0.3%
1769 1
0.3%
1629 1
0.3%
1367 1
0.3%
1279 1
0.3%
1138 1
0.3%
1100 1
0.3%
1067 1
0.3%

2019-12
Real number (ℝ)

MISSING  ZEROS 

Distinct168
Distinct (%)60.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean321.25448
Minimum0
Maximum28630
Zeros24
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:50.286689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.5
median55
Q3184.5
95-th percentile841.1
Maximum28630
Range28630
Interquartile range (IQR)177

Descriptive statistics

Standard deviation1830.2033
Coefficient of variation (CV)5.6970515
Kurtosis209.39423
Mean321.25448
Median Absolute Deviation (MAD)53
Skewness13.863209
Sum89630
Variance3349644.1
MonotonicityNot monotonic
2024-03-30T07:13:50.939083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
7.9%
1 12
 
4.0%
3 10
 
3.3%
2 8
 
2.6%
4 6
 
2.0%
5 5
 
1.7%
14 5
 
1.7%
6 3
 
1.0%
42 3
 
1.0%
152 3
 
1.0%
Other values (158) 200
66.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 24
7.9%
1 12
4.0%
2 8
 
2.6%
3 10
3.3%
4 6
 
2.0%
5 5
 
1.7%
6 3
 
1.0%
7 2
 
0.7%
8 2
 
0.7%
9 1
 
0.3%
ValueCountFrequency (%)
28630 1
0.3%
9060 1
0.3%
4637 1
0.3%
2725 1
0.3%
2155 1
0.3%
1930 1
0.3%
1324 1
0.3%
1284 1
0.3%
999 1
0.3%
954 1
0.3%

2020-01
Real number (ℝ)

MISSING  ZEROS 

Distinct141
Distinct (%)50.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean285.55914
Minimum0
Maximum25529
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:51.524508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median33
Q3133.5
95-th percentile600.1
Maximum25529
Range25529
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation1696.3289
Coefficient of variation (CV)5.9403769
Kurtosis182.23925
Mean285.55914
Median Absolute Deviation (MAD)33
Skewness12.834826
Sum79671
Variance2877531.8
MonotonicityNot monotonic
2024-03-30T07:13:52.111531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 16
 
5.3%
2 11
 
3.6%
4 8
 
2.6%
9 7
 
2.3%
25 7
 
2.3%
3 7
 
2.3%
5 5
 
1.7%
7 5
 
1.7%
12 4
 
1.3%
Other values (131) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 30
9.9%
1 16
5.3%
2 11
 
3.6%
3 7
 
2.3%
4 8
 
2.6%
5 5
 
1.7%
6 3
 
1.0%
7 5
 
1.7%
8 1
 
0.3%
9 7
 
2.3%
ValueCountFrequency (%)
25529 1
0.3%
10440 1
0.3%
5115 1
0.3%
3313 1
0.3%
2721 1
0.3%
1822 1
0.3%
1554 1
0.3%
1371 1
0.3%
839 1
0.3%
807 1
0.3%

2020-02
Real number (ℝ)

MISSING  ZEROS 

Distinct136
Distinct (%)48.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean245.92473
Minimum0
Maximum22237
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:52.565357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q3117
95-th percentile534.2
Maximum22237
Range22237
Interquartile range (IQR)113

Descriptive statistics

Standard deviation1496.0335
Coefficient of variation (CV)6.0832984
Kurtosis176.22435
Mean245.92473
Median Absolute Deviation (MAD)25
Skewness12.675507
Sum68613
Variance2238116.3
MonotonicityNot monotonic
2024-03-30T07:13:53.015075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 17
 
5.6%
4 12
 
4.0%
2 8
 
2.6%
5 8
 
2.6%
10 7
 
2.3%
25 5
 
1.7%
6 5
 
1.7%
17 5
 
1.7%
37 4
 
1.3%
Other values (126) 177
58.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 31
10.3%
1 17
5.6%
2 8
 
2.6%
3 4
 
1.3%
4 12
 
4.0%
5 8
 
2.6%
6 5
 
1.7%
7 3
 
1.0%
8 1
 
0.3%
9 3
 
1.0%
ValueCountFrequency (%)
22237 1
0.3%
10309 1
0.3%
3376 1
0.3%
2684 1
0.3%
2414 1
0.3%
1753 1
0.3%
1604 1
0.3%
1019 1
0.3%
919 1
0.3%
692 1
0.3%

2020-03
Real number (ℝ)

MISSING  ZEROS 

Distinct150
Distinct (%)53.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean270.24731
Minimum0
Maximum23981
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:53.316409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median34
Q3156.5
95-th percentile662.5
Maximum23981
Range23981
Interquartile range (IQR)152.5

Descriptive statistics

Standard deviation1553.8933
Coefficient of variation (CV)5.7498938
Kurtosis199.43363
Mean270.24731
Median Absolute Deviation (MAD)33
Skewness13.496602
Sum75399
Variance2414584.5
MonotonicityNot monotonic
2024-03-30T07:13:53.766451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 13
 
4.3%
3 9
 
3.0%
4 9
 
3.0%
2 8
 
2.6%
6 8
 
2.6%
26 6
 
2.0%
9 5
 
1.7%
8 5
 
1.7%
22 4
 
1.3%
Other values (140) 180
59.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 13
4.3%
2 8
 
2.6%
3 9
 
3.0%
4 9
 
3.0%
5 4
 
1.3%
6 8
 
2.6%
7 3
 
1.0%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
23981 1
0.3%
8634 1
0.3%
3749 1
0.3%
2531 1
0.3%
2010 1
0.3%
1714 1
0.3%
1286 1
0.3%
966 1
0.3%
858 1
0.3%
846 1
0.3%

2020-04
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)52.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean303.65591
Minimum0
Maximum27008
Zeros28
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:54.382109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median43
Q3159
95-th percentile737.8
Maximum27008
Range27008
Interquartile range (IQR)154

Descriptive statistics

Standard deviation1776.8243
Coefficient of variation (CV)5.8514397
Kurtosis189.48727
Mean303.65591
Median Absolute Deviation (MAD)42
Skewness13.155411
Sum84720
Variance3157104.5
MonotonicityNot monotonic
2024-03-30T07:13:54.904943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
9.3%
1 15
 
5.0%
3 11
 
3.6%
2 8
 
2.6%
4 7
 
2.3%
6 5
 
1.7%
5 5
 
1.7%
13 4
 
1.3%
8 4
 
1.3%
39 4
 
1.3%
Other values (137) 188
62.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 28
9.3%
1 15
5.0%
2 8
 
2.6%
3 11
 
3.6%
4 7
 
2.3%
5 5
 
1.7%
6 5
 
1.7%
7 3
 
1.0%
8 4
 
1.3%
10 1
 
0.3%
ValueCountFrequency (%)
27008 1
0.3%
11014 1
0.3%
4476 1
0.3%
2953 1
0.3%
1751 1
0.3%
1468 1
0.3%
1380 1
0.3%
1246 1
0.3%
1217 1
0.3%
1084 1
0.3%

2020-05
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)52.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean301.53763
Minimum0
Maximum26570
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:55.334980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median34
Q3143.5
95-th percentile875.8
Maximum26570
Range26570
Interquartile range (IQR)140.5

Descriptive statistics

Standard deviation1750.0269
Coefficient of variation (CV)5.8036767
Kurtosis188.42847
Mean301.53763
Median Absolute Deviation (MAD)33
Skewness13.089348
Sum84129
Variance3062594.3
MonotonicityNot monotonic
2024-03-30T07:13:55.788346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 19
 
6.3%
3 11
 
3.6%
2 8
 
2.6%
7 6
 
2.0%
12 5
 
1.7%
14 4
 
1.3%
4 4
 
1.3%
90 4
 
1.3%
36 4
 
1.3%
Other values (137) 181
59.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 33
10.9%
1 19
6.3%
2 8
 
2.6%
3 11
 
3.6%
4 4
 
1.3%
5 3
 
1.0%
6 2
 
0.7%
7 6
 
2.0%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
26570 1
0.3%
10810 1
0.3%
3976 1
0.3%
2528 1
0.3%
1951 1
0.3%
1909 1
0.3%
1865 1
0.3%
1558 1
0.3%
1502 1
0.3%
1330 1
0.3%

2020-06
Real number (ℝ)

MISSING  ZEROS 

Distinct150
Distinct (%)53.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean279.06452
Minimum0
Maximum25027
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:56.274992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median40
Q3143.5
95-th percentile571.2
Maximum25027
Range25027
Interquartile range (IQR)138.5

Descriptive statistics

Standard deviation1652.7551
Coefficient of variation (CV)5.9224838
Kurtosis187.2002
Mean279.06452
Median Absolute Deviation (MAD)39
Skewness13.073079
Sum77859
Variance2731599.4
MonotonicityNot monotonic
2024-03-30T07:13:56.868780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 16
 
5.3%
2 13
 
4.3%
6 9
 
3.0%
5 5
 
1.7%
13 4
 
1.3%
3 4
 
1.3%
31 4
 
1.3%
8 4
 
1.3%
36 4
 
1.3%
Other values (140) 184
60.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 16
5.3%
2 13
4.3%
3 4
 
1.3%
4 1
 
0.3%
5 5
 
1.7%
6 9
 
3.0%
7 3
 
1.0%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
25027 1
0.3%
10488 1
0.3%
3851 1
0.3%
2501 1
0.3%
2083 1
0.3%
1720 1
0.3%
1604 1
0.3%
1589 1
0.3%
1425 1
0.3%
986 1
0.3%

2020-07
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)52.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean245.32975
Minimum0
Maximum21859
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:57.397499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median39
Q3140
95-th percentile651
Maximum21859
Range21859
Interquartile range (IQR)136

Descriptive statistics

Standard deviation1420.7805
Coefficient of variation (CV)5.7913096
Kurtosis198.13404
Mean245.32975
Median Absolute Deviation (MAD)38
Skewness13.50565
Sum68447
Variance2018617.3
MonotonicityNot monotonic
2024-03-30T07:13:57.947254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
3 14
 
4.6%
1 11
 
3.6%
4 8
 
2.6%
2 8
 
2.6%
6 6
 
2.0%
9 5
 
1.7%
15 4
 
1.3%
17 4
 
1.3%
11 4
 
1.3%
Other values (137) 185
61.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 30
9.9%
1 11
 
3.6%
2 8
 
2.6%
3 14
4.6%
4 8
 
2.6%
5 4
 
1.3%
6 6
 
2.0%
7 4
 
1.3%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
21859 1
0.3%
8539 1
0.3%
2796 1
0.3%
1842 1
0.3%
1628 1
0.3%
1002 1
0.3%
977 1
0.3%
930 1
0.3%
898 1
0.3%
882 1
0.3%

2020-08
Real number (ℝ)

MISSING  ZEROS 

Distinct145
Distinct (%)52.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean232.87097
Minimum0
Maximum20841
Zeros34
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:58.488781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median31
Q3131
95-th percentile523.9
Maximum20841
Range20841
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation1340.102
Coefficient of variation (CV)5.7546975
Kurtosis204.94744
Mean232.87097
Median Absolute Deviation (MAD)31
Skewness13.689259
Sum64971
Variance1795873.3
MonotonicityNot monotonic
2024-03-30T07:13:59.055389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
11.3%
1 14
 
4.6%
2 12
 
4.0%
3 10
 
3.3%
5 7
 
2.3%
4 5
 
1.7%
27 5
 
1.7%
7 4
 
1.3%
25 4
 
1.3%
9 4
 
1.3%
Other values (135) 180
59.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 34
11.3%
1 14
4.6%
2 12
 
4.0%
3 10
 
3.3%
4 5
 
1.7%
5 7
 
2.3%
6 2
 
0.7%
7 4
 
1.3%
8 2
 
0.7%
9 4
 
1.3%
ValueCountFrequency (%)
20841 1
0.3%
6945 1
0.3%
3157 1
0.3%
2109 1
0.3%
1755 1
0.3%
1491 1
0.3%
1378 1
0.3%
1027 1
0.3%
992 1
0.3%
943 1
0.3%

2020-09
Real number (ℝ)

MISSING  ZEROS 

Distinct153
Distinct (%)54.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean310.01075
Minimum0
Maximum27773
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:13:59.455238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median44
Q3137.5
95-th percentile611.3
Maximum27773
Range27773
Interquartile range (IQR)133

Descriptive statistics

Standard deviation1883.1188
Coefficient of variation (CV)6.074366
Kurtosis172.82773
Mean310.01075
Median Absolute Deviation (MAD)43
Skewness12.598654
Sum86493
Variance3546136.3
MonotonicityNot monotonic
2024-03-30T07:14:00.039033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 16
 
5.3%
2 11
 
3.6%
4 6
 
2.0%
3 6
 
2.0%
6 5
 
1.7%
14 5
 
1.7%
8 4
 
1.3%
16 3
 
1.0%
5 3
 
1.0%
Other values (143) 189
62.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 31
10.3%
1 16
5.3%
2 11
 
3.6%
3 6
 
2.0%
4 6
 
2.0%
5 3
 
1.0%
6 5
 
1.7%
7 3
 
1.0%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
27773 1
0.3%
13742 1
0.3%
3999 1
0.3%
2721 1
0.3%
2550 1
0.3%
2075 1
0.3%
2033 1
0.3%
1314 1
0.3%
1246 1
0.3%
1074 1
0.3%

2020-10
Real number (ℝ)

MISSING  ZEROS 

Distinct139
Distinct (%)49.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean246.22939
Minimum0
Maximum22049
Zeros37
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:00.627326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median28
Q3106.5
95-th percentile687.7
Maximum22049
Range22049
Interquartile range (IQR)103

Descriptive statistics

Standard deviation1440.4801
Coefficient of variation (CV)5.850155
Kurtosis193.04756
Mean246.22939
Median Absolute Deviation (MAD)28
Skewness13.204307
Sum68698
Variance2074982.9
MonotonicityNot monotonic
2024-03-30T07:14:01.245013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
12.3%
1 15
 
5.0%
2 12
 
4.0%
5 8
 
2.6%
6 6
 
2.0%
3 6
 
2.0%
4 5
 
1.7%
31 5
 
1.7%
9 4
 
1.3%
7 4
 
1.3%
Other values (129) 177
58.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 37
12.3%
1 15
5.0%
2 12
 
4.0%
3 6
 
2.0%
4 5
 
1.7%
5 8
 
2.6%
6 6
 
2.0%
7 4
 
1.3%
8 2
 
0.7%
9 4
 
1.3%
ValueCountFrequency (%)
22049 1
0.3%
7925 1
0.3%
4011 1
0.3%
2138 1
0.3%
2027 1
0.3%
1783 1
0.3%
1707 1
0.3%
1595 1
0.3%
1400 1
0.3%
1290 1
0.3%

2020-11
Real number (ℝ)

MISSING  ZEROS 

Distinct148
Distinct (%)53.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean263.55556
Minimum0
Maximum23809
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:01.767273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median37
Q3138.5
95-th percentile655.5
Maximum23809
Range23809
Interquartile range (IQR)134.5

Descriptive statistics

Standard deviation1546.766
Coefficient of variation (CV)5.8688424
Kurtosis196.98823
Mean263.55556
Median Absolute Deviation (MAD)36
Skewness13.381889
Sum73532
Variance2392485.1
MonotonicityNot monotonic
2024-03-30T07:14:02.370449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
1 18
 
6.0%
3 10
 
3.3%
2 10
 
3.3%
5 8
 
2.6%
4 6
 
2.0%
14 6
 
2.0%
19 4
 
1.3%
28 4
 
1.3%
12 4
 
1.3%
Other values (138) 178
58.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 31
10.3%
1 18
6.0%
2 10
 
3.3%
3 10
 
3.3%
4 6
 
2.0%
5 8
 
2.6%
6 3
 
1.0%
7 1
 
0.3%
8 3
 
1.0%
9 1
 
0.3%
ValueCountFrequency (%)
23809 1
0.3%
7346 1
0.3%
6609 1
0.3%
1611 1
0.3%
1173 1
0.3%
1158 1
0.3%
1108 2
0.7%
999 1
0.3%
976 1
0.3%
933 1
0.3%

2020-12
Real number (ℝ)

MISSING  ZEROS 

Distinct156
Distinct (%)55.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean285.35842
Minimum0
Maximum25410
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:03.039439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median47
Q3151.5
95-th percentile866.7
Maximum25410
Range25410
Interquartile range (IQR)144.5

Descriptive statistics

Standard deviation1622.4396
Coefficient of variation (CV)5.6856201
Kurtosis209.76981
Mean285.35842
Median Absolute Deviation (MAD)45
Skewness13.834554
Sum79615
Variance2632310.2
MonotonicityNot monotonic
2024-03-30T07:14:03.683647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 10
 
3.3%
2 8
 
2.6%
7 7
 
2.3%
5 6
 
2.0%
8 5
 
1.7%
9 5
 
1.7%
3 5
 
1.7%
6 5
 
1.7%
30 4
 
1.3%
Other values (146) 194
64.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 30
9.9%
1 10
 
3.3%
2 8
 
2.6%
3 5
 
1.7%
4 3
 
1.0%
5 6
 
2.0%
6 5
 
1.7%
7 7
 
2.3%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
25410 1
0.3%
6996 1
0.3%
5277 1
0.3%
2290 1
0.3%
2157 1
0.3%
1984 1
0.3%
1363 1
0.3%
1184 1
0.3%
1110 1
0.3%
1098 1
0.3%

2021-01
Real number (ℝ)

MISSING  ZEROS 

Distinct132
Distinct (%)47.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean186.84229
Minimum0
Maximum16472
Zeros42
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:04.217379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median25
Q3100
95-th percentile578.8
Maximum16472
Range16472
Interquartile range (IQR)97

Descriptive statistics

Standard deviation1057.2833
Coefficient of variation (CV)5.6586939
Kurtosis205.82134
Mean186.84229
Median Absolute Deviation (MAD)25
Skewness13.691333
Sum52129
Variance1117848.1
MonotonicityNot monotonic
2024-03-30T07:14:04.653285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
13.9%
1 14
 
4.6%
2 10
 
3.3%
6 9
 
3.0%
7 6
 
2.0%
4 5
 
1.7%
14 5
 
1.7%
3 5
 
1.7%
13 5
 
1.7%
8 4
 
1.3%
Other values (122) 174
57.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 42
13.9%
1 14
 
4.6%
2 10
 
3.3%
3 5
 
1.7%
4 5
 
1.7%
5 3
 
1.0%
6 9
 
3.0%
7 6
 
2.0%
8 4
 
1.3%
9 1
 
0.3%
ValueCountFrequency (%)
16472 1
0.3%
5179 1
0.3%
2604 1
0.3%
1994 1
0.3%
1245 1
0.3%
991 1
0.3%
965 1
0.3%
947 1
0.3%
806 1
0.3%
778 2
0.7%

2021-02
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)46.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean177.57706
Minimum0
Maximum15662
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:05.349121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median25
Q3105
95-th percentile522.2
Maximum15662
Range15662
Interquartile range (IQR)102

Descriptive statistics

Standard deviation1001.9703
Coefficient of variation (CV)5.6424533
Kurtosis208.27959
Mean177.57706
Median Absolute Deviation (MAD)25
Skewness13.783414
Sum49544
Variance1003944.4
MonotonicityNot monotonic
2024-03-30T07:14:05.804407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 11
 
3.6%
8 8
 
2.6%
2 8
 
2.6%
3 6
 
2.0%
7 6
 
2.0%
5 6
 
2.0%
6 5
 
1.7%
9 4
 
1.3%
38 4
 
1.3%
Other values (120) 171
56.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 50
16.6%
1 11
 
3.6%
2 8
 
2.6%
3 6
 
2.0%
4 1
 
0.3%
5 6
 
2.0%
6 5
 
1.7%
7 6
 
2.0%
8 8
 
2.6%
9 4
 
1.3%
ValueCountFrequency (%)
15662 1
0.3%
4638 1
0.3%
2847 1
0.3%
1867 1
0.3%
1095 1
0.3%
899 1
0.3%
803 2
0.7%
728 1
0.3%
717 1
0.3%
665 1
0.3%

2021-03
Real number (ℝ)

MISSING  ZEROS 

Distinct145
Distinct (%)52.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean247.73835
Minimum0
Maximum21886
Zeros31
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:06.356400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median39
Q3130.5
95-th percentile619
Maximum21886
Range21886
Interquartile range (IQR)126

Descriptive statistics

Standard deviation1417.9774
Coefficient of variation (CV)5.7236897
Kurtosis199.37268
Mean247.73835
Median Absolute Deviation (MAD)37
Skewness13.486699
Sum69119
Variance2010660
MonotonicityNot monotonic
2024-03-30T07:14:06.821801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
10.3%
3 14
 
4.6%
1 11
 
3.6%
2 8
 
2.6%
4 6
 
2.0%
17 5
 
1.7%
6 5
 
1.7%
34 4
 
1.3%
53 4
 
1.3%
19 4
 
1.3%
Other values (135) 187
61.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 31
10.3%
1 11
 
3.6%
2 8
 
2.6%
3 14
4.6%
4 6
 
2.0%
5 2
 
0.7%
6 5
 
1.7%
7 2
 
0.7%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
21886 1
0.3%
7803 1
0.3%
3278 1
0.3%
2897 1
0.3%
1560 1
0.3%
1273 1
0.3%
1271 1
0.3%
978 1
0.3%
896 1
0.3%
867 1
0.3%

2021-04
Real number (ℝ)

MISSING  ZEROS 

Distinct145
Distinct (%)52.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean251.94982
Minimum0
Maximum22240
Zeros39
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:07.273407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median33
Q3159.5
95-th percentile658.8
Maximum22240
Range22240
Interquartile range (IQR)156.5

Descriptive statistics

Standard deviation1407.5937
Coefficient of variation (CV)5.5868019
Kurtosis216.68707
Mean251.94982
Median Absolute Deviation (MAD)33
Skewness14.081996
Sum70294
Variance1981320.1
MonotonicityNot monotonic
2024-03-30T07:14:07.953369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
12.9%
2 16
 
5.3%
1 14
 
4.6%
3 6
 
2.0%
20 5
 
1.7%
4 5
 
1.7%
12 5
 
1.7%
26 4
 
1.3%
24 4
 
1.3%
68 4
 
1.3%
Other values (135) 177
58.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 39
12.9%
1 14
 
4.6%
2 16
5.3%
3 6
 
2.0%
4 5
 
1.7%
5 3
 
1.0%
6 1
 
0.3%
7 4
 
1.3%
8 1
 
0.3%
10 2
 
0.7%
ValueCountFrequency (%)
22240 1
0.3%
5056 1
0.3%
4614 1
0.3%
1741 1
0.3%
1698 1
0.3%
1684 1
0.3%
1562 1
0.3%
1534 1
0.3%
1509 1
0.3%
1195 1
0.3%

2021-05
Real number (ℝ)

MISSING  ZEROS 

Distinct143
Distinct (%)51.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean250.15054
Minimum0
Maximum21845
Zeros36
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:08.375726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median39
Q3116.5
95-th percentile685.7
Maximum21845
Range21845
Interquartile range (IQR)110

Descriptive statistics

Standard deviation1411.7596
Coefficient of variation (CV)5.6436401
Kurtosis200.64248
Mean250.15054
Median Absolute Deviation (MAD)37
Skewness13.497096
Sum69792
Variance1993065.2
MonotonicityNot monotonic
2024-03-30T07:14:09.231563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
11.9%
2 11
 
3.6%
1 7
 
2.3%
3 6
 
2.0%
8 5
 
1.7%
9 5
 
1.7%
4 4
 
1.3%
42 4
 
1.3%
5 4
 
1.3%
11 4
 
1.3%
Other values (133) 193
63.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 36
11.9%
1 7
 
2.3%
2 11
 
3.6%
3 6
 
2.0%
4 4
 
1.3%
5 4
 
1.3%
6 2
 
0.7%
7 1
 
0.3%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
21845 1
0.3%
7293 1
0.3%
3715 1
0.3%
2535 1
0.3%
1828 1
0.3%
1455 1
0.3%
1419 1
0.3%
1413 1
0.3%
1172 1
0.3%
954 1
0.3%

2021-06
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)52.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean253.44803
Minimum0
Maximum22848
Zeros32
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:09.808778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median35
Q3140
95-th percentile706
Maximum22848
Range22848
Interquartile range (IQR)134.5

Descriptive statistics

Standard deviation1477.1863
Coefficient of variation (CV)5.8283599
Kurtosis200.58851
Mean253.44803
Median Absolute Deviation (MAD)34
Skewness13.518503
Sum70712
Variance2182079.4
MonotonicityNot monotonic
2024-03-30T07:14:10.450550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.6%
1 13
 
4.3%
2 12
 
4.0%
3 7
 
2.3%
9 6
 
2.0%
14 6
 
2.0%
24 5
 
1.7%
10 5
 
1.7%
8 5
 
1.7%
6 5
 
1.7%
Other values (137) 183
60.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 32
10.6%
1 13
4.3%
2 12
 
4.0%
3 7
 
2.3%
4 3
 
1.0%
5 3
 
1.0%
6 5
 
1.7%
7 3
 
1.0%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
22848 1
0.3%
7224 1
0.3%
5542 1
0.3%
1512 1
0.3%
1466 1
0.3%
1257 1
0.3%
1188 1
0.3%
1153 1
0.3%
1090 1
0.3%
815 1
0.3%

2021-07
Real number (ℝ)

MISSING  ZEROS 

Distinct150
Distinct (%)53.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean233.12186
Minimum0
Maximum20538
Zeros30
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:11.044262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median35
Q3120.5
95-th percentile672.8
Maximum20538
Range20538
Interquartile range (IQR)117.5

Descriptive statistics

Standard deviation1314.2741
Coefficient of variation (CV)5.6377126
Kurtosis207.88854
Mean233.12186
Median Absolute Deviation (MAD)34
Skewness13.760555
Sum65041
Variance1727316.3
MonotonicityNot monotonic
2024-03-30T07:14:11.571168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
9.9%
1 21
 
7.0%
2 13
 
4.3%
3 7
 
2.3%
4 6
 
2.0%
16 5
 
1.7%
10 5
 
1.7%
17 5
 
1.7%
72 4
 
1.3%
7 4
 
1.3%
Other values (140) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 30
9.9%
1 21
7.0%
2 13
4.3%
3 7
 
2.3%
4 6
 
2.0%
5 3
 
1.0%
6 3
 
1.0%
7 4
 
1.3%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
20538 1
0.3%
5557 1
0.3%
4753 1
0.3%
1574 1
0.3%
1467 1
0.3%
1285 1
0.3%
1280 1
0.3%
1081 1
0.3%
1004 1
0.3%
990 1
0.3%

2021-08
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)49.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean227.75986
Minimum0
Maximum20146
Zeros34
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:11.982720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median31
Q3138
95-th percentile565
Maximum20146
Range20146
Interquartile range (IQR)134

Descriptive statistics

Standard deviation1302.8977
Coefficient of variation (CV)5.7204888
Kurtosis199.9092
Mean227.75986
Median Absolute Deviation (MAD)30
Skewness13.469804
Sum63545
Variance1697542.4
MonotonicityNot monotonic
2024-03-30T07:14:12.542248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
11.3%
1 14
 
4.6%
2 11
 
3.6%
3 9
 
3.0%
10 7
 
2.3%
4 7
 
2.3%
13 6
 
2.0%
6 6
 
2.0%
5 5
 
1.7%
11 4
 
1.3%
Other values (127) 176
58.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 34
11.3%
1 14
4.6%
2 11
 
3.6%
3 9
 
3.0%
4 7
 
2.3%
5 5
 
1.7%
6 6
 
2.0%
7 1
 
0.3%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
20146 1
0.3%
5757 1
0.3%
5478 1
0.3%
1885 1
0.3%
1253 1
0.3%
1098 1
0.3%
1090 1
0.3%
974 1
0.3%
847 1
0.3%
824 1
0.3%

2021-09
Real number (ℝ)

MISSING  ZEROS 

Distinct141
Distinct (%)50.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean183.01434
Minimum0
Maximum16195
Zeros36
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:13.092212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median28
Q3115
95-th percentile452.5
Maximum16195
Range16195
Interquartile range (IQR)112

Descriptive statistics

Standard deviation1042.0672
Coefficient of variation (CV)5.6939104
Kurtosis203.76463
Mean183.01434
Median Absolute Deviation (MAD)28
Skewness13.616529
Sum51061
Variance1085904.1
MonotonicityNot monotonic
2024-03-30T07:14:13.764030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
11.9%
1 19
 
6.3%
2 11
 
3.6%
4 8
 
2.6%
3 8
 
2.6%
6 7
 
2.3%
11 7
 
2.3%
5 7
 
2.3%
10 6
 
2.0%
12 4
 
1.3%
Other values (131) 166
55.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 36
11.9%
1 19
6.3%
2 11
 
3.6%
3 8
 
2.6%
4 8
 
2.6%
5 7
 
2.3%
6 7
 
2.3%
7 2
 
0.7%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
16195 1
0.3%
4772 1
0.3%
3709 1
0.3%
2037 1
0.3%
1023 1
0.3%
791 1
0.3%
738 1
0.3%
728 1
0.3%
710 1
0.3%
656 1
0.3%

2021-10
Real number (ℝ)

MISSING  ZEROS 

Distinct134
Distinct (%)48.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean205.36201
Minimum0
Maximum18331
Zeros44
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:14.390405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24
Q3109
95-th percentile527.7
Maximum18331
Range18331
Interquartile range (IQR)106

Descriptive statistics

Standard deviation1201.4152
Coefficient of variation (CV)5.8502313
Kurtosis191.362
Mean205.36201
Median Absolute Deviation (MAD)24
Skewness13.188368
Sum57296
Variance1443398.6
MonotonicityNot monotonic
2024-03-30T07:14:15.073473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
14.6%
1 15
 
5.0%
2 10
 
3.3%
4 8
 
2.6%
5 7
 
2.3%
14 7
 
2.3%
6 5
 
1.7%
8 5
 
1.7%
17 5
 
1.7%
101 4
 
1.3%
Other values (124) 169
56.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 44
14.6%
1 15
 
5.0%
2 10
 
3.3%
3 3
 
1.0%
4 8
 
2.6%
5 7
 
2.3%
6 5
 
1.7%
7 1
 
0.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
18331 1
0.3%
6975 1
0.3%
3634 1
0.3%
1828 1
0.3%
1194 1
0.3%
1139 1
0.3%
1101 1
0.3%
942 1
0.3%
797 1
0.3%
783 1
0.3%

2021-11
Real number (ℝ)

MISSING  ZEROS 

Distinct149
Distinct (%)53.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean248.77419
Minimum0
Maximum22244
Zeros42
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:15.656126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median32
Q3141
95-th percentile617.7
Maximum22244
Range22244
Interquartile range (IQR)138

Descriptive statistics

Standard deviation1426.1332
Coefficient of variation (CV)5.732641
Kurtosis206.74051
Mean248.77419
Median Absolute Deviation (MAD)32
Skewness13.731464
Sum69408
Variance2033855.8
MonotonicityNot monotonic
2024-03-30T07:14:16.202030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
13.9%
2 16
 
5.3%
1 11
 
3.6%
3 10
 
3.3%
5 8
 
2.6%
40 5
 
1.7%
9 5
 
1.7%
24 4
 
1.3%
32 4
 
1.3%
34 4
 
1.3%
Other values (139) 170
56.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 42
13.9%
1 11
 
3.6%
2 16
 
5.3%
3 10
 
3.3%
4 3
 
1.0%
5 8
 
2.6%
6 3
 
1.0%
7 2
 
0.7%
9 5
 
1.7%
10 2
 
0.7%
ValueCountFrequency (%)
22244 1
0.3%
6647 1
0.3%
4518 1
0.3%
1921 1
0.3%
1695 1
0.3%
1595 1
0.3%
1508 1
0.3%
1343 1
0.3%
867 1
0.3%
823 1
0.3%

2021-12
Real number (ℝ)

MISSING  ZEROS 

Distinct156
Distinct (%)55.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean230.58423
Minimum0
Maximum20557
Zeros39
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:16.738110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median34
Q3141.5
95-th percentile657.9
Maximum20557
Range20557
Interquartile range (IQR)137

Descriptive statistics

Standard deviation1303.5176
Coefficient of variation (CV)5.6531082
Kurtosis215.52738
Mean230.58423
Median Absolute Deviation (MAD)34
Skewness14.070076
Sum64333
Variance1699158.1
MonotonicityNot monotonic
2024-03-30T07:14:17.418859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
12.9%
1 16
 
5.3%
29 7
 
2.3%
2 7
 
2.3%
6 7
 
2.3%
20 5
 
1.7%
4 4
 
1.3%
3 4
 
1.3%
15 4
 
1.3%
25 4
 
1.3%
Other values (146) 182
60.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 39
12.9%
1 16
5.3%
2 7
 
2.3%
3 4
 
1.3%
4 4
 
1.3%
5 1
 
0.3%
6 7
 
2.3%
7 3
 
1.0%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
20557 1
0.3%
5571 1
0.3%
3682 1
0.3%
1899 1
0.3%
1854 1
0.3%
1183 1
0.3%
995 1
0.3%
922 1
0.3%
856 1
0.3%
702 1
0.3%

2022-01
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)40.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean132.77061
Minimum0
Maximum11762
Zeros49
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:17.798413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q379.5
95-th percentile367.5
Maximum11762
Range11762
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation776.14611
Coefficient of variation (CV)5.8457675
Kurtosis188.00717
Mean132.77061
Median Absolute Deviation (MAD)21
Skewness13.130668
Sum37043
Variance602402.79
MonotonicityNot monotonic
2024-03-30T07:14:18.171271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
16.2%
1 16
 
5.3%
2 13
 
4.3%
3 8
 
2.6%
4 7
 
2.3%
6 6
 
2.0%
30 5
 
1.7%
15 5
 
1.7%
62 4
 
1.3%
8 4
 
1.3%
Other values (102) 162
53.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 49
16.2%
1 16
 
5.3%
2 13
 
4.3%
3 8
 
2.6%
4 7
 
2.3%
5 4
 
1.3%
6 6
 
2.0%
7 4
 
1.3%
8 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
11762 1
0.3%
4999 1
0.3%
1913 1
0.3%
992 1
0.3%
603 1
0.3%
596 1
0.3%
563 1
0.3%
546 1
0.3%
523 1
0.3%
481 1
0.3%

2022-02
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)38.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean134.78495
Minimum0
Maximum12045
Zeros47
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:18.622045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q374.5
95-th percentile326.8
Maximum12045
Range12045
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation777.51237
Coefficient of variation (CV)5.7685402
Kurtosis201.5372
Mean134.78495
Median Absolute Deviation (MAD)14
Skewness13.535067
Sum37605
Variance604525.49
MonotonicityNot monotonic
2024-03-30T07:14:19.083834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
15.6%
1 19
 
6.3%
2 13
 
4.3%
5 9
 
3.0%
3 9
 
3.0%
12 8
 
2.6%
14 7
 
2.3%
13 7
 
2.3%
8 6
 
2.0%
4 5
 
1.7%
Other values (97) 149
49.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 47
15.6%
1 19
6.3%
2 13
 
4.3%
3 9
 
3.0%
4 5
 
1.7%
5 9
 
3.0%
6 3
 
1.0%
7 3
 
1.0%
8 6
 
2.0%
9 2
 
0.7%
ValueCountFrequency (%)
12045 1
0.3%
3751 1
0.3%
2712 1
0.3%
1261 1
0.3%
780 1
0.3%
696 1
0.3%
604 1
0.3%
583 1
0.3%
575 1
0.3%
528 1
0.3%

2022-03
Real number (ℝ)

MISSING  ZEROS 

Distinct133
Distinct (%)47.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean201.8853
Minimum0
Maximum18160
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:19.504011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q3115.5
95-th percentile517.1
Maximum18160
Range18160
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation1173.9021
Coefficient of variation (CV)5.8146979
Kurtosis200.6376
Mean201.8853
Median Absolute Deviation (MAD)23
Skewness13.50649
Sum56326
Variance1378046
MonotonicityNot monotonic
2024-03-30T07:14:20.003128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
10.9%
1 19
 
6.3%
2 12
 
4.0%
5 8
 
2.6%
6 7
 
2.3%
3 7
 
2.3%
8 6
 
2.0%
12 5
 
1.7%
15 5
 
1.7%
13 4
 
1.3%
Other values (123) 173
57.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 33
10.9%
1 19
6.3%
2 12
 
4.0%
3 7
 
2.3%
4 3
 
1.0%
5 8
 
2.6%
6 7
 
2.3%
7 3
 
1.0%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
18160 1
0.3%
5842 1
0.3%
3987 1
0.3%
1476 1
0.3%
1376 1
0.3%
1199 1
0.3%
1140 1
0.3%
927 1
0.3%
872 1
0.3%
812 1
0.3%

2022-04
Real number (ℝ)

MISSING  ZEROS 

Distinct136
Distinct (%)48.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean204.18996
Minimum0
Maximum17993
Zeros36
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:20.502736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median31
Q3128.5
95-th percentile511.2
Maximum17993
Range17993
Interquartile range (IQR)124.5

Descriptive statistics

Standard deviation1168.0859
Coefficient of variation (CV)5.7205843
Kurtosis197.79132
Mean204.18996
Median Absolute Deviation (MAD)30
Skewness13.419125
Sum56969
Variance1364424.7
MonotonicityNot monotonic
2024-03-30T07:14:21.128941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
11.9%
1 15
 
5.0%
4 12
 
4.0%
2 8
 
2.6%
5 8
 
2.6%
7 7
 
2.3%
36 6
 
2.0%
3 5
 
1.7%
6 5
 
1.7%
19 5
 
1.7%
Other values (126) 172
57.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 36
11.9%
1 15
5.0%
2 8
 
2.6%
3 5
 
1.7%
4 12
 
4.0%
5 8
 
2.6%
6 5
 
1.7%
7 7
 
2.3%
8 3
 
1.0%
9 1
 
0.3%
ValueCountFrequency (%)
17993 1
0.3%
6422 1
0.3%
3058 1
0.3%
2198 1
0.3%
1210 1
0.3%
1034 1
0.3%
1004 1
0.3%
985 1
0.3%
845 1
0.3%
811 1
0.3%

2022-05
Real number (ℝ)

MISSING  ZEROS 

Distinct142
Distinct (%)50.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean216.44086
Minimum0
Maximum19205
Zeros38
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:21.625756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median32
Q3119
95-th percentile561.4
Maximum19205
Range19205
Interquartile range (IQR)115

Descriptive statistics

Standard deviation1239.1696
Coefficient of variation (CV)5.7252111
Kurtosis202.32572
Mean216.44086
Median Absolute Deviation (MAD)32
Skewness13.592065
Sum60387
Variance1535541.3
MonotonicityNot monotonic
2024-03-30T07:14:22.784833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
12.6%
1 15
 
5.0%
2 9
 
3.0%
9 7
 
2.3%
5 7
 
2.3%
4 7
 
2.3%
26 5
 
1.7%
3 4
 
1.3%
25 4
 
1.3%
11 4
 
1.3%
Other values (132) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 38
12.6%
1 15
 
5.0%
2 9
 
3.0%
3 4
 
1.3%
4 7
 
2.3%
5 7
 
2.3%
6 3
 
1.0%
7 2
 
0.7%
8 3
 
1.0%
9 7
 
2.3%
ValueCountFrequency (%)
19205 1
0.3%
6589 1
0.3%
2945 1
0.3%
2337 1
0.3%
1355 1
0.3%
1332 1
0.3%
929 1
0.3%
891 1
0.3%
869 1
0.3%
760 1
0.3%

2022-06
Real number (ℝ)

MISSING  ZEROS 

Distinct128
Distinct (%)45.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean185.92832
Minimum0
Maximum16343
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:23.725141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median26
Q3110
95-th percentile498.2
Maximum16343
Range16343
Interquartile range (IQR)107

Descriptive statistics

Standard deviation1071.6665
Coefficient of variation (CV)5.763869
Kurtosis191.14645
Mean185.92832
Median Absolute Deviation (MAD)26
Skewness13.197558
Sum51874
Variance1148469
MonotonicityNot monotonic
2024-03-30T07:14:24.178639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
3 14
 
4.6%
2 13
 
4.3%
1 9
 
3.0%
6 6
 
2.0%
4 5
 
1.7%
24 5
 
1.7%
9 4
 
1.3%
8 4
 
1.3%
25 4
 
1.3%
Other values (118) 172
57.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 43
14.2%
1 9
 
3.0%
2 13
 
4.3%
3 14
 
4.6%
4 5
 
1.7%
5 3
 
1.0%
6 6
 
2.0%
7 4
 
1.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
16343 1
0.3%
6349 1
0.3%
3235 1
0.3%
1362 1
0.3%
1212 1
0.3%
939 1
0.3%
863 1
0.3%
621 1
0.3%
585 1
0.3%
580 1
0.3%

2022-07
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)47.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean181.78495
Minimum0
Maximum16007
Zeros37
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:24.839794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median26
Q3107.5
95-th percentile487.1
Maximum16007
Range16007
Interquartile range (IQR)104.5

Descriptive statistics

Standard deviation1049.7983
Coefficient of variation (CV)5.7749464
Kurtosis191.35793
Mean181.78495
Median Absolute Deviation (MAD)26
Skewness13.217134
Sum50718
Variance1102076.5
MonotonicityNot monotonic
2024-03-30T07:14:25.486676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
12.3%
2 16
 
5.3%
1 15
 
5.0%
17 8
 
2.6%
5 8
 
2.6%
8 7
 
2.3%
3 7
 
2.3%
37 5
 
1.7%
16 4
 
1.3%
14 4
 
1.3%
Other values (121) 168
55.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 37
12.3%
1 15
5.0%
2 16
5.3%
3 7
 
2.3%
4 3
 
1.0%
5 8
 
2.6%
6 1
 
0.3%
7 3
 
1.0%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
16007 1
0.3%
6372 1
0.3%
2758 1
0.3%
1248 1
0.3%
1100 1
0.3%
1017 1
0.3%
926 1
0.3%
879 1
0.3%
757 1
0.3%
687 1
0.3%

2022-08
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)46.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean189.9319
Minimum0
Maximum16836
Zeros38
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:26.012064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median25
Q3107
95-th percentile417
Maximum16836
Range16836
Interquartile range (IQR)104

Descriptive statistics

Standard deviation1123.0509
Coefficient of variation (CV)5.9129135
Kurtosis181.76203
Mean189.9319
Median Absolute Deviation (MAD)25
Skewness12.92336
Sum52991
Variance1261243.3
MonotonicityNot monotonic
2024-03-30T07:14:26.541147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
12.6%
1 14
 
4.6%
2 12
 
4.0%
3 11
 
3.6%
4 7
 
2.3%
7 7
 
2.3%
8 6
 
2.0%
6 6
 
2.0%
9 5
 
1.7%
20 4
 
1.3%
Other values (120) 169
56.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 38
12.6%
1 14
 
4.6%
2 12
 
4.0%
3 11
 
3.6%
4 7
 
2.3%
5 4
 
1.3%
6 6
 
2.0%
7 7
 
2.3%
8 6
 
2.0%
9 5
 
1.7%
ValueCountFrequency (%)
16836 1
0.3%
7681 1
0.3%
2759 1
0.3%
1307 1
0.3%
1183 1
0.3%
930 1
0.3%
862 1
0.3%
833 1
0.3%
652 1
0.3%
504 1
0.3%

2022-09
Real number (ℝ)

MISSING  ZEROS 

Distinct132
Distinct (%)47.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean179.04659
Minimum0
Maximum15971
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:27.123004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q384.5
95-th percentile469.4
Maximum15971
Range15971
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation1095.1324
Coefficient of variation (CV)6.1164661
Kurtosis167.56251
Mean179.04659
Median Absolute Deviation (MAD)17
Skewness12.425949
Sum49954
Variance1199315
MonotonicityNot monotonic
2024-03-30T07:14:27.698927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 23
 
7.6%
4 11
 
3.6%
11 8
 
2.6%
2 7
 
2.3%
9 6
 
2.0%
5 6
 
2.0%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
Other values (122) 156
51.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 50
16.6%
1 23
7.6%
2 7
 
2.3%
3 2
 
0.7%
4 11
 
3.6%
5 6
 
2.0%
6 4
 
1.3%
7 4
 
1.3%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
15971 1
0.3%
8390 1
0.3%
1907 1
0.3%
1758 1
0.3%
1257 1
0.3%
1200 1
0.3%
1143 1
0.3%
1069 1
0.3%
817 1
0.3%
686 1
0.3%

2022-10
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)43.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean163.13262
Minimum0
Maximum14007
Zeros49
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:28.175600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median16
Q374
95-th percentile473
Maximum14007
Range14007
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation913.5218
Coefficient of variation (CV)5.5998722
Kurtosis193.12989
Mean163.13262
Median Absolute Deviation (MAD)16
Skewness13.142069
Sum45514
Variance834522.09
MonotonicityNot monotonic
2024-03-30T07:14:28.865862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
16.2%
1 21
 
7.0%
2 11
 
3.6%
6 10
 
3.3%
3 8
 
2.6%
4 7
 
2.3%
13 5
 
1.7%
21 4
 
1.3%
23 4
 
1.3%
24 4
 
1.3%
Other values (112) 156
51.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 49
16.2%
1 21
7.0%
2 11
 
3.6%
3 8
 
2.6%
4 7
 
2.3%
5 3
 
1.0%
6 10
 
3.3%
7 4
 
1.3%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
14007 1
0.3%
4608 1
0.3%
2508 1
0.3%
1715 1
0.3%
1615 1
0.3%
1541 1
0.3%
1240 1
0.3%
910 1
0.3%
901 1
0.3%
750 1
0.3%

2022-11
Real number (ℝ)

MISSING  ZEROS 

Distinct124
Distinct (%)44.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean149.85305
Minimum0
Maximum13310
Zeros52
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:29.375718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q375.5
95-th percentile346.7
Maximum13310
Range13310
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation877.88784
Coefficient of variation (CV)5.8583249
Kurtosis186.44958
Mean149.85305
Median Absolute Deviation (MAD)16
Skewness12.973855
Sum41809
Variance770687.06
MonotonicityNot monotonic
2024-03-30T07:14:30.059417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
17.2%
1 17
 
5.6%
2 12
 
4.0%
3 9
 
3.0%
5 8
 
2.6%
4 7
 
2.3%
6 7
 
2.3%
8 6
 
2.0%
17 5
 
1.7%
9 4
 
1.3%
Other values (114) 152
50.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 52
17.2%
1 17
 
5.6%
2 12
 
4.0%
3 9
 
3.0%
4 7
 
2.3%
5 8
 
2.6%
6 7
 
2.3%
7 3
 
1.0%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
13310 1
0.3%
4942 1
0.3%
3251 1
0.3%
1554 1
0.3%
895 1
0.3%
874 1
0.3%
837 1
0.3%
674 1
0.3%
512 1
0.3%
473 1
0.3%

2022-12
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)41.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean192.97849
Minimum0
Maximum17268
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:30.641718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q374.5
95-th percentile628.1
Maximum17268
Range17268
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation1106.6718
Coefficient of variation (CV)5.7346896
Kurtosis206.88743
Mean192.97849
Median Absolute Deviation (MAD)17
Skewness13.707314
Sum53841
Variance1224722.4
MonotonicityNot monotonic
2024-03-30T07:14:31.191752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
2 16
 
5.3%
1 15
 
5.0%
3 9
 
3.0%
4 8
 
2.6%
5 6
 
2.0%
30 6
 
2.0%
17 6
 
2.0%
7 6
 
2.0%
11 5
 
1.7%
Other values (107) 154
51.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 48
15.9%
1 15
 
5.0%
2 16
 
5.3%
3 9
 
3.0%
4 8
 
2.6%
5 6
 
2.0%
6 3
 
1.0%
7 6
 
2.0%
8 3
 
1.0%
9 1
 
0.3%
ValueCountFrequency (%)
17268 1
0.3%
5116 1
0.3%
3001 1
0.3%
1475 1
0.3%
1424 1
0.3%
1350 1
0.3%
1106 1
0.3%
1032 1
0.3%
998 1
0.3%
973 1
0.3%

2023-01
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)34.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.72401
Minimum0
Maximum10722
Zeros57
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:31.767152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q338.5
95-th percentile413.1
Maximum10722
Range10722
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation732.54795
Coefficient of variation (CV)6.0679555
Kurtosis166.92341
Mean120.72401
Median Absolute Deviation (MAD)7
Skewness12.286191
Sum33682
Variance536626.5
MonotonicityNot monotonic
2024-03-30T07:14:32.323873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
18.9%
1 31
 
10.3%
2 13
 
4.3%
3 11
 
3.6%
5 10
 
3.3%
4 9
 
3.0%
6 7
 
2.3%
9 6
 
2.0%
10 5
 
1.7%
38 5
 
1.7%
Other values (86) 125
41.4%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 57
18.9%
1 31
10.3%
2 13
 
4.3%
3 11
 
3.6%
4 9
 
3.0%
5 10
 
3.3%
6 7
 
2.3%
7 4
 
1.3%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
10722 1
0.3%
5205 1
0.3%
1953 1
0.3%
1521 1
0.3%
1071 1
0.3%
631 1
0.3%
626 1
0.3%
550 1
0.3%
546 1
0.3%
544 1
0.3%

2023-02
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)38.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean106.53047
Minimum0
Maximum9282
Zeros59
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:32.847413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q367
95-th percentile318.3
Maximum9282
Range9282
Interquartile range (IQR)66

Descriptive statistics

Standard deviation613.19667
Coefficient of variation (CV)5.7560686
Kurtosis186.4062
Mean106.53047
Median Absolute Deviation (MAD)12
Skewness13.021781
Sum29722
Variance376010.16
MonotonicityNot monotonic
2024-03-30T07:14:33.419580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
19.5%
1 19
 
6.3%
2 17
 
5.6%
3 7
 
2.3%
5 7
 
2.3%
7 7
 
2.3%
4 7
 
2.3%
16 6
 
2.0%
12 4
 
1.3%
67 4
 
1.3%
Other values (97) 142
47.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 59
19.5%
1 19
 
6.3%
2 17
 
5.6%
3 7
 
2.3%
4 7
 
2.3%
5 7
 
2.3%
6 4
 
1.3%
7 7
 
2.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
9282 1
0.3%
3833 1
0.3%
1650 1
0.3%
697 1
0.3%
691 1
0.3%
645 1
0.3%
621 1
0.3%
556 1
0.3%
442 1
0.3%
439 1
0.3%

2023-03
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)43.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean166.79211
Minimum0
Maximum14498
Zeros56
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:34.008456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median18
Q380.5
95-th percentile460
Maximum14498
Range14498
Interquartile range (IQR)79.5

Descriptive statistics

Standard deviation965.53903
Coefficient of variation (CV)5.788877
Kurtosis181.3281
Mean166.79211
Median Absolute Deviation (MAD)18
Skewness12.817906
Sum46535
Variance932265.62
MonotonicityNot monotonic
2024-03-30T07:14:34.643068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
18.5%
1 16
 
5.3%
2 11
 
3.6%
3 8
 
2.6%
12 6
 
2.0%
14 5
 
1.7%
9 5
 
1.7%
5 4
 
1.3%
11 4
 
1.3%
10 4
 
1.3%
Other values (112) 160
53.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 56
18.5%
1 16
 
5.3%
2 11
 
3.6%
3 8
 
2.6%
4 4
 
1.3%
5 4
 
1.3%
6 2
 
0.7%
7 2
 
0.7%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
14498 1
0.3%
6274 1
0.3%
1954 1
0.3%
1600 1
0.3%
1381 1
0.3%
1137 1
0.3%
1038 1
0.3%
1000 1
0.3%
995 1
0.3%
933 1
0.3%

2023-04
Real number (ℝ)

MISSING  ZEROS 

Distinct125
Distinct (%)44.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean160.71685
Minimum0
Maximum13779
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:35.076534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median18
Q388
95-th percentile360.1
Maximum13779
Range13779
Interquartile range (IQR)86

Descriptive statistics

Standard deviation932.92089
Coefficient of variation (CV)5.8047486
Kurtosis172.58239
Mean160.71685
Median Absolute Deviation (MAD)18
Skewness12.551469
Sum44840
Variance870341.39
MonotonicityNot monotonic
2024-03-30T07:14:35.602033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
1 16
 
5.3%
2 14
 
4.6%
4 9
 
3.0%
3 7
 
2.3%
11 6
 
2.0%
6 6
 
2.0%
8 6
 
2.0%
87 5
 
1.7%
18 4
 
1.3%
Other values (115) 158
52.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 48
15.9%
1 16
 
5.3%
2 14
 
4.6%
3 7
 
2.3%
4 9
 
3.0%
5 2
 
0.7%
6 6
 
2.0%
7 3
 
1.0%
8 6
 
2.0%
9 1
 
0.3%
ValueCountFrequency (%)
13779 1
0.3%
6645 1
0.3%
2434 1
0.3%
1126 1
0.3%
999 1
0.3%
978 1
0.3%
964 1
0.3%
832 1
0.3%
800 1
0.3%
737 1
0.3%

2023-05
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)42.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean138.04301
Minimum0
Maximum12107
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:36.264234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q368.5
95-th percentile405.8
Maximum12107
Range12107
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation803.04818
Coefficient of variation (CV)5.8173766
Kurtosis183.64495
Mean138.04301
Median Absolute Deviation (MAD)16
Skewness12.919642
Sum38514
Variance644886.38
MonotonicityNot monotonic
2024-03-30T07:14:36.854568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
1 17
 
5.6%
2 16
 
5.3%
3 11
 
3.6%
4 9
 
3.0%
7 6
 
2.0%
14 6
 
2.0%
8 5
 
1.7%
18 5
 
1.7%
16 5
 
1.7%
Other values (109) 156
51.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 43
14.2%
1 17
 
5.6%
2 16
 
5.3%
3 11
 
3.6%
4 9
 
3.0%
5 4
 
1.3%
6 5
 
1.7%
7 6
 
2.0%
8 5
 
1.7%
10 3
 
1.0%
ValueCountFrequency (%)
12107 1
0.3%
4993 1
0.3%
2703 1
0.3%
770 1
0.3%
742 1
0.3%
670 1
0.3%
612 1
0.3%
576 1
0.3%
546 1
0.3%
540 1
0.3%

2023-06
Real number (ℝ)

MISSING  ZEROS 

Distinct124
Distinct (%)45.6%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean178.55515
Minimum0
Maximum15193
Zeros42
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:37.428551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q396.25
95-th percentile512
Maximum15193
Range15193
Interquartile range (IQR)94.25

Descriptive statistics

Standard deviation1014.6448
Coefficient of variation (CV)5.6825287
Kurtosis182.61949
Mean178.55515
Median Absolute Deviation (MAD)21
Skewness12.889798
Sum48567
Variance1029504
MonotonicityNot monotonic
2024-03-30T07:14:38.324859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
13.9%
1 20
 
6.6%
2 10
 
3.3%
3 9
 
3.0%
6 7
 
2.3%
13 6
 
2.0%
5 6
 
2.0%
7 5
 
1.7%
16 4
 
1.3%
4 4
 
1.3%
Other values (114) 159
52.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 42
13.9%
1 20
6.6%
2 10
 
3.3%
3 9
 
3.0%
4 4
 
1.3%
5 6
 
2.0%
6 7
 
2.3%
7 5
 
1.7%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
15193 1
0.3%
6149 1
0.3%
3006 1
0.3%
1114 1
0.3%
988 1
0.3%
897 1
0.3%
740 1
0.3%
696 1
0.3%
680 1
0.3%
677 1
0.3%

2023-07
Real number (ℝ)

MISSING  ZEROS 

Distinct124
Distinct (%)45.1%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean168.21818
Minimum0
Maximum14381
Zeros48
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:38.865421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median18
Q382
95-th percentile485.1
Maximum14381
Range14381
Interquartile range (IQR)80

Descriptive statistics

Standard deviation945.90974
Coefficient of variation (CV)5.6231124
Kurtosis189.8604
Mean168.21818
Median Absolute Deviation (MAD)18
Skewness13.081015
Sum46260
Variance894745.24
MonotonicityNot monotonic
2024-03-30T07:14:39.478059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
15.9%
1 13
 
4.3%
2 13
 
4.3%
4 8
 
2.6%
3 8
 
2.6%
6 6
 
2.0%
12 5
 
1.7%
8 5
 
1.7%
10 5
 
1.7%
11 5
 
1.7%
Other values (114) 159
52.6%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 48
15.9%
1 13
 
4.3%
2 13
 
4.3%
3 8
 
2.6%
4 8
 
2.6%
5 3
 
1.0%
6 6
 
2.0%
7 1
 
0.3%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
14381 1
0.3%
4793 1
0.3%
3546 1
0.3%
1087 1
0.3%
1020 1
0.3%
1015 1
0.3%
971 1
0.3%
876 1
0.3%
805 1
0.3%
659 1
0.3%

2023-08
Real number (ℝ)

MISSING  ZEROS 

Distinct116
Distinct (%)41.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean128.20144
Minimum0
Maximum11377
Zeros43
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:39.928166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q371.5
95-th percentile304.2
Maximum11377
Range11377
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation749.35256
Coefficient of variation (CV)5.8451181
Kurtosis187.79842
Mean128.20144
Median Absolute Deviation (MAD)14
Skewness13.031187
Sum35640
Variance561529.25
MonotonicityNot monotonic
2024-03-30T07:14:40.705281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
14.2%
1 21
 
7.0%
4 11
 
3.6%
2 9
 
3.0%
7 8
 
2.6%
3 7
 
2.3%
13 7
 
2.3%
8 7
 
2.3%
6 5
 
1.7%
14 5
 
1.7%
Other values (106) 155
51.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 43
14.2%
1 21
7.0%
2 9
 
3.0%
3 7
 
2.3%
4 11
 
3.6%
5 5
 
1.7%
6 5
 
1.7%
7 8
 
2.6%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
11377 1
0.3%
3978 1
0.3%
3105 1
0.3%
1020 1
0.3%
767 1
0.3%
682 1
0.3%
671 1
0.3%
525 1
0.3%
412 1
0.3%
397 1
0.3%

2023-09
Real number (ℝ)

MISSING  ZEROS 

Distinct115
Distinct (%)41.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean159.30576
Minimum0
Maximum14156
Zeros39
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:41.445235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12.5
Q367.5
95-th percentile443.1
Maximum14156
Range14156
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation934.57908
Coefficient of variation (CV)5.8665745
Kurtosis186.41932
Mean159.30576
Median Absolute Deviation (MAD)12.5
Skewness12.967668
Sum44287
Variance873438.05
MonotonicityNot monotonic
2024-03-30T07:14:42.165719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
12.9%
1 22
 
7.3%
2 13
 
4.3%
3 11
 
3.6%
12 8
 
2.6%
9 8
 
2.6%
4 7
 
2.3%
5 6
 
2.0%
8 6
 
2.0%
7 5
 
1.7%
Other values (105) 153
50.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 39
12.9%
1 22
7.3%
2 13
 
4.3%
3 11
 
3.6%
4 7
 
2.3%
5 6
 
2.0%
6 4
 
1.3%
7 5
 
1.7%
8 6
 
2.0%
9 8
 
2.6%
ValueCountFrequency (%)
14156 1
0.3%
5320 1
0.3%
3188 1
0.3%
1233 1
0.3%
1226 1
0.3%
1163 1
0.3%
905 1
0.3%
615 1
0.3%
609 1
0.3%
577 1
0.3%

2023-10
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)43.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean184.36691
Minimum0
Maximum16548
Zeros56
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:42.962147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14.5
Q370
95-th percentile429.55
Maximum16548
Range16548
Interquartile range (IQR)69

Descriptive statistics

Standard deviation1095.6778
Coefficient of variation (CV)5.9429203
Kurtosis183.37374
Mean184.36691
Median Absolute Deviation (MAD)14.5
Skewness12.779093
Sum51254
Variance1200509.9
MonotonicityNot monotonic
2024-03-30T07:14:43.670170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
18.5%
1 19
 
6.3%
3 10
 
3.3%
15 8
 
2.6%
14 8
 
2.6%
4 8
 
2.6%
5 7
 
2.3%
6 6
 
2.0%
17 5
 
1.7%
2 5
 
1.7%
Other values (112) 146
48.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 56
18.5%
1 19
 
6.3%
2 5
 
1.7%
3 10
 
3.3%
4 8
 
2.6%
5 7
 
2.3%
6 6
 
2.0%
7 3
 
1.0%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
16548 1
0.3%
5351 1
0.3%
4596 1
0.3%
2202 1
0.3%
1817 1
0.3%
1713 1
0.3%
1231 1
0.3%
851 1
0.3%
797 1
0.3%
755 1
0.3%

2023-11
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)42.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean165.05755
Minimum0
Maximum14084
Zeros51
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:44.360064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15.5
Q364.5
95-th percentile503.3
Maximum14084
Range14084
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation952.81675
Coefficient of variation (CV)5.7726334
Kurtosis170.42025
Mean165.05755
Median Absolute Deviation (MAD)15.5
Skewness12.335413
Sum45886
Variance907859.75
MonotonicityNot monotonic
2024-03-30T07:14:44.936992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
16.9%
1 15
 
5.0%
2 12
 
4.0%
4 10
 
3.3%
11 8
 
2.6%
3 8
 
2.6%
8 6
 
2.0%
5 6
 
2.0%
16 5
 
1.7%
6 5
 
1.7%
Other values (108) 152
50.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 51
16.9%
1 15
 
5.0%
2 12
 
4.0%
3 8
 
2.6%
4 10
 
3.3%
5 6
 
2.0%
6 5
 
1.7%
7 3
 
1.0%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
14084 1
0.3%
5813 1
0.3%
3892 1
0.3%
1455 1
0.3%
1322 1
0.3%
1245 1
0.3%
1152 1
0.3%
666 1
0.3%
641 1
0.3%
633 1
0.3%

2023-12
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)42.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean146.86691
Minimum0
Maximum12709
Zeros50
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:45.776468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14
Q375.75
95-th percentile407.05
Maximum12709
Range12709
Interquartile range (IQR)74.75

Descriptive statistics

Standard deviation825.44143
Coefficient of variation (CV)5.6203365
Kurtosis197.68859
Mean146.86691
Median Absolute Deviation (MAD)14
Skewness13.394745
Sum40829
Variance681353.56
MonotonicityNot monotonic
2024-03-30T07:14:46.243782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
16.6%
1 21
 
7.0%
2 11
 
3.6%
14 7
 
2.3%
7 6
 
2.0%
4 6
 
2.0%
10 6
 
2.0%
6 5
 
1.7%
3 5
 
1.7%
13 4
 
1.3%
Other values (108) 157
52.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 50
16.6%
1 21
7.0%
2 11
 
3.6%
3 5
 
1.7%
4 6
 
2.0%
5 4
 
1.3%
6 5
 
1.7%
7 6
 
2.0%
8 3
 
1.0%
9 4
 
1.3%
ValueCountFrequency (%)
12709 1
0.3%
4440 1
0.3%
1971 1
0.3%
1389 1
0.3%
1271 1
0.3%
858 1
0.3%
827 1
0.3%
811 1
0.3%
576 1
0.3%
574 1
0.3%

2024-01
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)37.1%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean106.34532
Minimum0
Maximum9489
Zeros53
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T07:14:47.011769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13.5
Q351
95-th percentile339.5
Maximum9489
Range9489
Interquartile range (IQR)50

Descriptive statistics

Standard deviation615.843
Coefficient of variation (CV)5.790974
Kurtosis197.99206
Mean106.34532
Median Absolute Deviation (MAD)13.5
Skewness13.388174
Sum29564
Variance379262.6
MonotonicityNot monotonic
2024-03-30T07:14:47.605001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
17.5%
1 21
 
7.0%
2 15
 
5.0%
16 8
 
2.6%
10 8
 
2.6%
4 7
 
2.3%
3 7
 
2.3%
8 5
 
1.7%
26 5
 
1.7%
20 5
 
1.7%
Other values (93) 144
47.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 53
17.5%
1 21
 
7.0%
2 15
 
5.0%
3 7
 
2.3%
4 7
 
2.3%
5 3
 
1.0%
6 3
 
1.0%
7 2
 
0.7%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
9489 1
0.3%
2975 1
0.3%
2200 1
0.3%
1033 1
0.3%
658 1
0.3%
584 1
0.3%
475 1
0.3%
461 1
0.3%
452 1
0.3%
432 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
0전국697478151087566617740690075088324894085061205916779158258069721977351246410395108506278572679371239611220116197426104191293410019146381208864947551101288219137459077562511929798492259481142158340769786391305911052959272908555783990621004797689521785810656113761212414266684612062988210847740078038264641796929372129788403862810588120831005160418992823293567458890810436737869448411636363736236978464285754847982091184984188036105181266410653771299161087815705123091072113017116281166717756134081133114024163721040313066145761703019207140311563712667141481542816353171651746715643171712149025556169501811918989163661827819328259502159319711173532325122209204721874724496186382078820903269482474720381237732397224888257801702024411234522597024790300452551124427223132558728630255292223723981270082657025027218592084127773220492380925410164721566221886222402184522848205382014616195183312224420557117621204518160179931920516343160071683615971140071331017268107229282144981377912107151931438111377141561654814084127099489
1서울1227135114431520249925141694216127362739192521463709209719972843288829782415159010431229275618281988310718952824250749884457116682715651360103851535385768111931507160112631345108388013671743104372988510658541176115388514881441196021051125185189184712991170154413351906189121782081171512811405141613401935201313531479223418602366107612691347198515352632185214931821149733472275211830442454219512821821161417342723215034583645470160723326274023883849276535293650334951005075344427664379496927153327451527162738487643403327356237163442424153629530565840512831262538533703266478743915414848155934443342205035480741236148252847183976400744554272410634183381356046373313241437494476397638512796315739994011660969962604284732784614371555424753547837093634451836821913271239873058294532352758275919072508325130011953165019542434270330063546310531884596389219712200
2서울 종로구1636303353273316422781462051231118095954126234727199219197853869572148422147118211112471012796931571843441471016301442783931057714115724371425281515135610181203556252261112134523618113181671222521927125186399972033203718114910133177485862026691858160218261037716374230510138928514431333161682551382835113720401112133356816652843767233404327301079145301307973517027315111120442143950123652858551306930011959503920178161414101514142013162321
3서울 중구83247233148935018120780545794683610216714014983789291632062541861347423112915558340351621479893467915044810062617801744214236440417168123601532173113736413181342321446236460203079026884188573368756464161693716409481841344519917810146166241410223125223616422156258116246874252575610191876312233414301210189052919104943788557139710614413713958879492116145140571161031123333761936451247363559225337222466218055390321737212411104200131458157172627857260186344322751902139631172714936643191236432230612296338
4서울 용산구22733352530472333847232273636093301762571011718271104307054497086624117414121827281066163356142711718921962614337222632564233261215867391437422433481541411025251081084967561402056125913738639107728374426919111101435121435505914263510516563620943738931910392630493448794313660347621367278446312197231974763127627166384446213431118263799784311726543998631384825052269173356710206341341710714215456994565272359161722966383719210425517131152169215
5서울 성동구10142315100234362332421451072445315633515011062038174530234202211942173755511115120153303141195351621563186296102621240239462568491342911793361529719199312132360672269165351431104241542237123389051261176919112341513592910214514124114431037165217714165252632152214231214152122255395077255401641001685131831887125268687255236927156104632093192199623624729484213589377132922224506438168133112270201065253524286543318196124137139395193
6서울 광진구<NA>11543942956682961261791943510411210172516432600237112760025011287141347513625543391311383209185841812023891777460105224812187532162022390114045121439413923657314532177402118132527101782196916299721291233827394342145120142208158801381115563702111085067123766897895938195140609132158237821021241891974910724924173971507632128410510795235541011376427019713277140937218182420208561130106161185901621197070195391972597459260943725326090128612311169810832132106196337
7서울 동대문구141411191214331811491541091661084444621171733557471372124371223231032533143221439123121231003520333171914132051047341012407663241357845297745231714127798165256423816474238591391522223139432422291319192819893517190194492714243952091393611777429832303832322341009834615555561251044972932950741141285080237825405519220719914611413438927649315456498438527211567454939301455936284518799116266145190875395604143752304857366
8서울 중랑구<NA><NA>303286580521911221320042966100100100030001102000101058572304750199206261544019963093332172252022391712251442724125162768212810312601621463319132517534281422682365271446455382944436128161446636533579383440705514489711382019772681158078831192068460684252621197990531551164313011863144100911311281409818717064901213514123011970525126730796754410910522729814628191051298877115536154865888636941488469735125417627731511412279784921
9서울 성북구<NA>93327631503731815103351651511025658120023196102879273817034012733305302122053573111143172806484602228424145432132772529519261019710388471071501103163168891454711532716924261582029201461081034722268148111847268228117741171045237133781930561305711586130175446543158607139160629339761243229483608513519211316415271134731661781113262621153616229288426535147806818017419624913867130815622631296453836201625514315392433618282188473652371033716
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 거창군<NA><NA><NA><NA><NA><NA><NA><NA><NA>000000000000000000000000000000000000000<NA><NA>000000004100000100000002850000000000000000000040<NA><NA>00302217112100450001001021100577003513523308411510111250144111002000114032900220102125130108731476530217479712017020100012002416174441
293경남 합천군<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000000001000000000000000000000000000000000000000000000000000110040000000000000000<NA>0053542422417222326320001200000001001328221343211716333702011770647022273100304212200000010000002711611646312323812402100002230100010
294(구)제주251360288000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)제주시245360288000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)서귀포시000000000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)북제주군060000000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)남제주군000000000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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>0200812177202091125632929612376310218733572121065303151835421822826516646755534524847758131130251432036142841006197664213224431917436212363666193933765406412645164114158533878416220243344472446224239356172790518136265913091974364520821059937431261890501175244153681571114497039442954318985611392741973118351782610415352230132898286712288659984671394922146161316366341524257176913245951019858106678164588294338431365222909478038511534471706401375550375466657364461872470565585591447686305252973544385181191273166250298554146368251174
300제주시<NA><NA><NA><NA><NA><NA>020081217720209002543272861226294185322703151001477353616103640659615034223597757009110703511433042900221321543190243501215286511161252242114271389714442747952131243144724139243815532175513410829526393271972092651772921175430449517610730043516733236977150310692927278304136982921821037947904662624616427227841582904410558486978101113874621944219747720936345469127961241215743645069611952783601491383431743645013023886012464353034843525042842148695731810017317412861216209100311150163
301서귀포시<NA><NA><NA><NA><NA><NA><NA><NA>000000000011221003518021329105020341062127911561453125011311212442501131417019766209015120218182332560182212182617141311351171193000323002012114615047261856230417143181113341972240873447145200585054648445352279717411275832344924635310412874935311933817820560424957124055334055720310781485461566315783765776615895722824282521052524111335113531553391933462522372072011021566273271224130282107951822138104487678118993818982345465710111