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 외국인거래(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068096/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 69 (22.8%) zerosZeros
2006-02 has 106 (35.1%) zerosZeros
2006-03 has 126 (41.7%) zerosZeros
2006-04 has 142 (47.0%) zerosZeros
2006-05 has 140 (46.4%) zerosZeros
2006-06 has 157 (52.0%) zerosZeros
2006-07 has 168 (55.6%) zerosZeros
2006-08 has 178 (58.9%) zerosZeros
2006-09 has 170 (56.3%) zerosZeros
2006-10 has 177 (58.6%) zerosZeros
2006-11 has 156 (51.7%) zerosZeros
2006-12 has 168 (55.6%) zerosZeros
2007-01 has 195 (64.6%) zerosZeros
2007-02 has 199 (65.9%) zerosZeros
2007-03 has 197 (65.2%) zerosZeros
2007-04 has 203 (67.2%) zerosZeros
2007-05 has 205 (67.9%) zerosZeros
2007-06 has 201 (66.6%) zerosZeros
2007-07 has 208 (68.9%) zerosZeros
2007-08 has 220 (72.8%) zerosZeros
2007-09 has 229 (75.8%) zerosZeros
2007-10 has 209 (69.2%) zerosZeros
2007-11 has 215 (71.2%) zerosZeros
2007-12 has 226 (74.8%) zerosZeros
2008-01 has 219 (72.5%) zerosZeros
2008-02 has 226 (74.8%) zerosZeros
2008-03 has 222 (73.5%) zerosZeros
2008-04 has 213 (70.5%) zerosZeros
2008-05 has 222 (73.5%) zerosZeros
2008-06 has 217 (71.9%) zerosZeros
2008-07 has 226 (74.8%) zerosZeros
2008-08 has 233 (77.2%) zerosZeros
2008-09 has 237 (78.5%) zerosZeros
2008-10 has 241 (79.8%) zerosZeros
2008-11 has 243 (80.5%) zerosZeros
2008-12 has 249 (82.5%) zerosZeros
2009-01 has 240 (79.5%) zerosZeros
2009-02 has 233 (77.2%) zerosZeros
2009-03 has 217 (71.9%) zerosZeros
2009-04 has 225 (74.5%) zerosZeros
2009-05 has 224 (74.2%) zerosZeros
2009-06 has 214 (70.9%) zerosZeros
2009-07 has 211 (69.9%) zerosZeros
2009-08 has 216 (71.5%) zerosZeros
2009-09 has 203 (67.2%) zerosZeros
2009-10 has 213 (70.5%) zerosZeros
2009-11 has 221 (73.2%) zerosZeros
2009-12 has 212 (70.2%) zerosZeros
2010-01 has 160 (53.0%) zerosZeros
2010-02 has 165 (54.6%) zerosZeros
2010-03 has 167 (55.3%) zerosZeros
2010-04 has 163 (54.0%) zerosZeros
2010-05 has 177 (58.6%) zerosZeros
2010-06 has 186 (61.6%) zerosZeros
2010-07 has 196 (64.9%) zerosZeros
2010-08 has 199 (65.9%) zerosZeros
2010-09 has 206 (68.2%) zerosZeros
2010-10 has 195 (64.6%) zerosZeros
2010-11 has 187 (61.9%) zerosZeros
2010-12 has 193 (63.9%) zerosZeros
2011-01 has 213 (70.5%) zerosZeros
2011-02 has 214 (70.9%) zerosZeros
2011-03 has 193 (63.9%) zerosZeros
2011-04 has 201 (66.6%) zerosZeros
2011-05 has 203 (67.2%) zerosZeros
2011-06 has 202 (66.9%) zerosZeros
2011-07 has 204 (67.5%) zerosZeros
2011-08 has 207 (68.5%) zerosZeros
2011-09 has 210 (69.5%) zerosZeros
2011-10 has 215 (71.2%) zerosZeros
2011-11 has 208 (68.9%) zerosZeros
2011-12 has 195 (64.6%) zerosZeros
2012-01 has 228 (75.5%) zerosZeros
2012-02 has 218 (72.2%) zerosZeros
2012-03 has 216 (71.5%) zerosZeros
2012-04 has 211 (69.9%) zerosZeros
2012-05 has 221 (73.2%) zerosZeros
2012-06 has 229 (75.8%) zerosZeros
2012-07 has 227 (75.2%) zerosZeros
2012-08 has 229 (75.8%) zerosZeros
2012-09 has 235 (77.8%) zerosZeros
2012-10 has 217 (71.9%) zerosZeros
2012-11 has 219 (72.5%) zerosZeros
2012-12 has 210 (69.5%) zerosZeros
2013-01 has 250 (82.8%) zerosZeros
2013-02 has 241 (79.8%) zerosZeros
2013-03 has 228 (75.5%) zerosZeros
2013-04 has 217 (71.9%) zerosZeros
2013-05 has 208 (68.9%) zerosZeros
2013-06 has 200 (66.2%) zerosZeros
2013-07 has 233 (77.2%) zerosZeros
2013-08 has 239 (79.1%) zerosZeros
2013-09 has 227 (75.2%) zerosZeros
2013-10 has 205 (67.9%) zerosZeros
2013-11 has 221 (73.2%) zerosZeros
2013-12 has 221 (73.2%) zerosZeros
2014-01 has 122 (40.4%) zerosZeros
2014-02 has 139 (46.0%) zerosZeros
2014-03 has 154 (51.0%) zerosZeros
2014-04 has 162 (53.6%) zerosZeros
2014-05 has 162 (53.6%) zerosZeros
2014-06 has 176 (58.3%) zerosZeros
2014-07 has 173 (57.3%) zerosZeros
2014-08 has 183 (60.6%) zerosZeros
2014-09 has 185 (61.3%) zerosZeros
2014-10 has 187 (61.9%) zerosZeros
2014-11 has 185 (61.3%) zerosZeros
2014-12 has 189 (62.6%) zerosZeros
2015-01 has 201 (66.6%) zerosZeros
2015-02 has 189 (62.6%) zerosZeros
2015-03 has 185 (61.3%) zerosZeros
2015-04 has 183 (60.6%) zerosZeros
2015-05 has 185 (61.3%) zerosZeros
2015-06 has 183 (60.6%) zerosZeros
2015-07 has 181 (59.9%) zerosZeros
2015-08 has 187 (61.9%) zerosZeros
2015-09 has 196 (64.9%) zerosZeros
2015-10 has 177 (58.6%) zerosZeros
2015-11 has 182 (60.3%) zerosZeros
2015-12 has 193 (63.9%) zerosZeros
2016-01 has 200 (66.2%) zerosZeros
2016-02 has 211 (69.9%) zerosZeros
2016-03 has 186 (61.6%) zerosZeros
2016-04 has 179 (59.3%) zerosZeros
2016-05 has 189 (62.6%) zerosZeros
2016-06 has 183 (60.6%) zerosZeros
2016-07 has 185 (61.3%) zerosZeros
2016-08 has 178 (58.9%) zerosZeros
2016-09 has 183 (60.6%) zerosZeros
2016-10 has 177 (58.6%) zerosZeros
2016-11 has 179 (59.3%) zerosZeros
2016-12 has 175 (57.9%) zerosZeros
2017-01 has 199 (65.9%) zerosZeros
2017-02 has 198 (65.6%) zerosZeros
2017-03 has 198 (65.6%) zerosZeros
2017-04 has 200 (66.2%) zerosZeros
2017-05 has 173 (57.3%) zerosZeros
2017-06 has 176 (58.3%) zerosZeros
2017-07 has 170 (56.3%) zerosZeros
2017-08 has 184 (60.9%) zerosZeros
2017-09 has 185 (61.3%) zerosZeros
2017-10 has 199 (65.9%) zerosZeros
2017-11 has 176 (58.3%) zerosZeros
2017-12 has 187 (61.9%) zerosZeros
2018-01 has 190 (62.9%) zerosZeros
2018-02 has 194 (64.2%) zerosZeros
2018-03 has 177 (58.6%) zerosZeros
2018-04 has 187 (61.9%) zerosZeros
2018-05 has 184 (60.9%) zerosZeros
2018-06 has 184 (60.9%) zerosZeros
2018-07 has 190 (62.9%) zerosZeros
2018-08 has 196 (64.9%) zerosZeros
2018-09 has 187 (61.9%) zerosZeros
2018-10 has 174 (57.6%) zerosZeros
2018-11 has 187 (61.9%) zerosZeros
2018-12 has 196 (64.9%) zerosZeros
2019-01 has 199 (65.9%) zerosZeros
2019-02 has 210 (69.5%) zerosZeros
2019-03 has 204 (67.5%) zerosZeros
2019-04 has 193 (63.9%) zerosZeros
2019-05 has 186 (61.6%) zerosZeros
2019-06 has 190 (62.9%) zerosZeros
2019-07 has 189 (62.6%) zerosZeros
2019-08 has 187 (61.9%) zerosZeros
2019-09 has 189 (62.6%) zerosZeros
2019-10 has 195 (64.6%) zerosZeros
2019-11 has 180 (59.6%) zerosZeros
2019-12 has 179 (59.3%) zerosZeros
2020-01 has 184 (60.9%) zerosZeros
2020-02 has 177 (58.6%) zerosZeros
2020-03 has 188 (62.3%) zerosZeros
2020-04 has 202 (66.9%) zerosZeros
2020-05 has 187 (61.9%) zerosZeros
2020-06 has 174 (57.6%) zerosZeros
2020-07 has 165 (54.6%) zerosZeros
2020-08 has 176 (58.3%) zerosZeros
2020-09 has 179 (59.3%) zerosZeros
2020-10 has 184 (60.9%) zerosZeros
2020-11 has 178 (58.9%) zerosZeros
2020-12 has 172 (57.0%) zerosZeros
2021-01 has 189 (62.6%) zerosZeros
2021-02 has 182 (60.3%) zerosZeros
2021-03 has 182 (60.3%) zerosZeros
2021-04 has 171 (56.6%) zerosZeros
2021-05 has 172 (57.0%) zerosZeros
2021-06 has 178 (58.9%) zerosZeros
2021-07 has 187 (61.9%) zerosZeros
2021-08 has 186 (61.6%) zerosZeros
2021-09 has 189 (62.6%) zerosZeros
2021-10 has 194 (64.2%) zerosZeros
2021-11 has 183 (60.6%) zerosZeros
2021-12 has 203 (67.2%) zerosZeros
2022-01 has 211 (69.9%) zerosZeros
2022-02 has 210 (69.5%) zerosZeros
2022-03 has 204 (67.5%) zerosZeros
2022-04 has 184 (60.9%) zerosZeros
2022-05 has 171 (56.6%) zerosZeros
2022-06 has 188 (62.3%) zerosZeros
2022-07 has 200 (66.2%) zerosZeros
2022-08 has 200 (66.2%) zerosZeros
2022-09 has 209 (69.2%) zerosZeros
2022-10 has 213 (70.5%) zerosZeros
2022-11 has 205 (67.9%) zerosZeros
2022-12 has 205 (67.9%) zerosZeros
2023-01 has 221 (73.2%) zerosZeros
2023-02 has 212 (70.2%) zerosZeros
2023-03 has 198 (65.6%) zerosZeros
2023-04 has 202 (66.9%) zerosZeros
2023-05 has 190 (62.9%) zerosZeros
2023-06 has 178 (58.9%) zerosZeros
2023-07 has 190 (62.9%) zerosZeros
2023-08 has 198 (65.6%) zerosZeros
2023-09 has 192 (63.6%) zerosZeros
2023-10 has 191 (63.2%) zerosZeros
2023-11 has 193 (63.9%) zerosZeros
2023-12 has 199 (65.9%) zerosZeros
2024-01 has 196 (64.9%) zerosZeros

Reproduction

Analysis started2024-03-30 08:50:11.694048
Analysis finished2024-03-30 08:50:14.932192
Duration3.24 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
2024-03-30T08:50:15.306562image/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%
2024-03-30T08:50:16.699774image/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 

Distinct7
Distinct (%)8.0%
Missing214
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean0.625
Minimum0
Maximum20
Zeros69
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:17.172215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.417905
Coefficient of variation (CV)3.8686479
Kurtosis49.347213
Mean0.625
Median Absolute Deviation (MAD)0
Skewness6.6029864
Sum55
Variance5.8462644
MonotonicityNot monotonic
2024-03-30T08:50:17.633940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 69
 
22.8%
1 13
 
4.3%
2 2
 
0.7%
20 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
3 1
 
0.3%
(Missing) 214
70.9%
ValueCountFrequency (%)
0 69
22.8%
1 13
 
4.3%
2 2
 
0.7%
3 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
20 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
3 1
 
0.3%
2 2
 
0.7%
1 13
 
4.3%
0 69
22.8%

2006-02
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.8%
Missing164
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean0.84057971
Minimum0
Maximum39
Zeros106
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:18.171589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8592885
Coefficient of variation (CV)4.5912225
Kurtosis73.990629
Mean0.84057971
Median Absolute Deviation (MAD)0
Skewness8.1039428
Sum116
Variance14.894108
MonotonicityNot monotonic
2024-03-30T08:50:18.614479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 106
35.1%
1 22
 
7.3%
2 4
 
1.3%
6 2
 
0.7%
39 1
 
0.3%
11 1
 
0.3%
19 1
 
0.3%
5 1
 
0.3%
(Missing) 164
54.3%
ValueCountFrequency (%)
0 106
35.1%
1 22
 
7.3%
2 4
 
1.3%
5 1
 
0.3%
6 2
 
0.7%
11 1
 
0.3%
19 1
 
0.3%
39 1
 
0.3%
ValueCountFrequency (%)
39 1
 
0.3%
19 1
 
0.3%
11 1
 
0.3%
6 2
 
0.7%
5 1
 
0.3%
2 4
 
1.3%
1 22
 
7.3%
0 106
35.1%

2006-03
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)5.7%
Missing143
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean1.5471698
Minimum0
Maximum83
Zeros126
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:18.988685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.1
Maximum83
Range83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.9878245
Coefficient of variation (CV)5.8092036
Kurtosis58.577426
Mean1.5471698
Median Absolute Deviation (MAD)0
Skewness7.5173755
Sum246
Variance80.780989
MonotonicityNot monotonic
2024-03-30T08:50:19.486878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 126
41.7%
1 22
 
7.3%
2 3
 
1.0%
3 3
 
1.0%
83 1
 
0.3%
61 1
 
0.3%
48 1
 
0.3%
12 1
 
0.3%
5 1
 
0.3%
(Missing) 143
47.4%
ValueCountFrequency (%)
0 126
41.7%
1 22
 
7.3%
2 3
 
1.0%
3 3
 
1.0%
5 1
 
0.3%
12 1
 
0.3%
48 1
 
0.3%
61 1
 
0.3%
83 1
 
0.3%
ValueCountFrequency (%)
83 1
 
0.3%
61 1
 
0.3%
48 1
 
0.3%
12 1
 
0.3%
5 1
 
0.3%
3 3
 
1.0%
2 3
 
1.0%
1 22
 
7.3%
0 126
41.7%

2006-04
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)6.2%
Missing126
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum0
Maximum114
Zeros142
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:19.865057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.25
Maximum114
Range114
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.843629
Coefficient of variation (CV)5.7832687
Kurtosis74.10258
Mean1.875
Median Absolute Deviation (MAD)0
Skewness8.1780403
Sum330
Variance117.58429
MonotonicityNot monotonic
2024-03-30T08:50:20.248185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 142
47.0%
1 21
 
7.0%
2 3
 
1.0%
7 2
 
0.7%
4 2
 
0.7%
114 1
 
0.3%
65 1
 
0.3%
51 1
 
0.3%
3 1
 
0.3%
29 1
 
0.3%
(Missing) 126
41.7%
ValueCountFrequency (%)
0 142
47.0%
1 21
 
7.0%
2 3
 
1.0%
3 1
 
0.3%
4 2
 
0.7%
7 2
 
0.7%
19 1
 
0.3%
29 1
 
0.3%
51 1
 
0.3%
65 1
 
0.3%
ValueCountFrequency (%)
114 1
 
0.3%
65 1
 
0.3%
51 1
 
0.3%
29 1
 
0.3%
19 1
 
0.3%
7 2
 
0.7%
4 2
 
0.7%
3 1
 
0.3%
2 3
 
1.0%
1 21
7.0%

2006-05
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)8.2%
Missing118
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean2.6684783
Minimum0
Maximum164
Zeros140
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:20.614627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.85
Maximum164
Range164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.935339
Coefficient of variation (CV)5.5969499
Kurtosis84.890911
Mean2.6684783
Median Absolute Deviation (MAD)0
Skewness8.7346718
Sum491
Variance223.06436
MonotonicityNot monotonic
2024-03-30T08:50:20.968356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 140
46.4%
1 26
 
8.6%
2 5
 
1.7%
3 2
 
0.7%
164 1
 
0.3%
101 1
 
0.3%
5 1
 
0.3%
43 1
 
0.3%
21 1
 
0.3%
17 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 118
39.1%
ValueCountFrequency (%)
0 140
46.4%
1 26
 
8.6%
2 5
 
1.7%
3 2
 
0.7%
4 1
 
0.3%
5 1
 
0.3%
17 1
 
0.3%
18 1
 
0.3%
19 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
164 1
0.3%
101 1
0.3%
43 1
0.3%
33 1
0.3%
24 1
0.3%
21 1
0.3%
19 1
0.3%
18 1
0.3%
17 1
0.3%
5 1
0.3%

2006-06
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)4.6%
Missing108
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean1.0463918
Minimum0
Maximum70
Zeros157
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:21.308096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.4158896
Coefficient of variation (CV)6.1314413
Kurtosis83.697419
Mean1.0463918
Median Absolute Deviation (MAD)0
Skewness8.8412272
Sum203
Variance41.16364
MonotonicityNot monotonic
2024-03-30T08:50:21.671593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 157
52.0%
1 26
 
8.6%
2 4
 
1.3%
4 2
 
0.7%
70 1
 
0.3%
46 1
 
0.3%
31 1
 
0.3%
5 1
 
0.3%
9 1
 
0.3%
(Missing) 108
35.8%
ValueCountFrequency (%)
0 157
52.0%
1 26
 
8.6%
2 4
 
1.3%
4 2
 
0.7%
5 1
 
0.3%
9 1
 
0.3%
31 1
 
0.3%
46 1
 
0.3%
70 1
 
0.3%
ValueCountFrequency (%)
70 1
 
0.3%
46 1
 
0.3%
31 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
4 2
 
0.7%
2 4
 
1.3%
1 26
 
8.6%
0 157
52.0%

2006-07
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)5.4%
Missing99
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean1.2660099
Minimum0
Maximum88
Zeros168
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:22.151454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum88
Range88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.1689773
Coefficient of variation (CV)5.6626552
Kurtosis108.60965
Mean1.2660099
Median Absolute Deviation (MAD)0
Skewness9.5997259
Sum257
Variance51.394235
MonotonicityNot monotonic
2024-03-30T08:50:22.584701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 168
55.6%
1 23
 
7.6%
2 3
 
1.0%
20 2
 
0.7%
88 1
 
0.3%
29 1
 
0.3%
17 1
 
0.3%
3 1
 
0.3%
21 1
 
0.3%
8 1
 
0.3%
(Missing) 99
32.8%
ValueCountFrequency (%)
0 168
55.6%
1 23
 
7.6%
2 3
 
1.0%
3 1
 
0.3%
8 1
 
0.3%
17 1
 
0.3%
20 2
 
0.7%
21 1
 
0.3%
22 1
 
0.3%
29 1
 
0.3%
ValueCountFrequency (%)
88 1
 
0.3%
29 1
 
0.3%
22 1
 
0.3%
21 1
 
0.3%
20 2
 
0.7%
17 1
 
0.3%
8 1
 
0.3%
3 1
 
0.3%
2 3
 
1.0%
1 23
7.6%

2006-08
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.8%
Missing95
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean1.4637681
Minimum0
Maximum104
Zeros178
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:22.876361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.7
Maximum104
Range104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.0262504
Coefficient of variation (CV)6.1664483
Kurtosis88.001321
Mean1.4637681
Median Absolute Deviation (MAD)0
Skewness8.7795397
Sum303
Variance81.473195
MonotonicityNot monotonic
2024-03-30T08:50:23.256593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 178
58.9%
1 18
 
6.0%
2 3
 
1.0%
5 2
 
0.7%
104 1
 
0.3%
13 1
 
0.3%
51 1
 
0.3%
44 1
 
0.3%
29 1
 
0.3%
28 1
 
0.3%
(Missing) 95
31.5%
ValueCountFrequency (%)
0 178
58.9%
1 18
 
6.0%
2 3
 
1.0%
5 2
 
0.7%
13 1
 
0.3%
28 1
 
0.3%
29 1
 
0.3%
44 1
 
0.3%
51 1
 
0.3%
104 1
 
0.3%
ValueCountFrequency (%)
104 1
 
0.3%
51 1
 
0.3%
44 1
 
0.3%
29 1
 
0.3%
28 1
 
0.3%
13 1
 
0.3%
5 2
 
0.7%
2 3
 
1.0%
1 18
 
6.0%
0 178
58.9%

2006-09
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.8%
Missing89
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean0.6713615
Minimum0
Maximum48
Zeros170
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:23.649362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7998233
Coefficient of variation (CV)5.6598767
Kurtosis120.18258
Mean0.6713615
Median Absolute Deviation (MAD)0
Skewness10.37868
Sum143
Variance14.438657
MonotonicityNot monotonic
2024-03-30T08:50:23.988484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 170
56.3%
1 29
 
9.6%
2 9
 
3.0%
48 1
 
0.3%
23 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
3 1
 
0.3%
(Missing) 89
29.5%
ValueCountFrequency (%)
0 170
56.3%
1 29
 
9.6%
2 9
 
3.0%
3 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
23 1
 
0.3%
48 1
 
0.3%
ValueCountFrequency (%)
48 1
 
0.3%
23 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
3 1
 
0.3%
2 9
 
3.0%
1 29
 
9.6%
0 170
56.3%

2006-10
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)4.1%
Missing81
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean0.62443439
Minimum0
Maximum47
Zeros177
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:24.312631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4888316
Coefficient of variation (CV)5.5871868
Kurtosis145.45908
Mean0.62443439
Median Absolute Deviation (MAD)0
Skewness11.393438
Sum138
Variance12.171946
MonotonicityNot monotonic
2024-03-30T08:50:24.673214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 177
58.6%
1 30
 
9.9%
2 6
 
2.0%
4 2
 
0.7%
5 2
 
0.7%
47 1
 
0.3%
17 1
 
0.3%
3 1
 
0.3%
11 1
 
0.3%
(Missing) 81
26.8%
ValueCountFrequency (%)
0 177
58.6%
1 30
 
9.9%
2 6
 
2.0%
3 1
 
0.3%
4 2
 
0.7%
5 2
 
0.7%
11 1
 
0.3%
17 1
 
0.3%
47 1
 
0.3%
ValueCountFrequency (%)
47 1
 
0.3%
17 1
 
0.3%
11 1
 
0.3%
5 2
 
0.7%
4 2
 
0.7%
3 1
 
0.3%
2 6
 
2.0%
1 30
 
9.9%
0 177
58.6%

2006-11
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.2%
Missing80
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean0.78828829
Minimum0
Maximum58
Zeros156
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:25.075772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum58
Range58
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.3692931
Coefficient of variation (CV)5.5427604
Kurtosis138.1454
Mean0.78828829
Median Absolute Deviation (MAD)0
Skewness11.179147
Sum175
Variance19.090722
MonotonicityNot monotonic
2024-03-30T08:50:25.420171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 156
51.7%
1 53
 
17.5%
2 8
 
2.6%
3 2
 
0.7%
58 1
 
0.3%
23 1
 
0.3%
19 1
 
0.3%
(Missing) 80
26.5%
ValueCountFrequency (%)
0 156
51.7%
1 53
 
17.5%
2 8
 
2.6%
3 2
 
0.7%
19 1
 
0.3%
23 1
 
0.3%
58 1
 
0.3%
ValueCountFrequency (%)
58 1
 
0.3%
23 1
 
0.3%
19 1
 
0.3%
3 2
 
0.7%
2 8
 
2.6%
1 53
 
17.5%
0 156
51.7%

2006-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.8%
Missing75
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.97356828
Minimum0
Maximum75
Zeros168
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:25.817098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum75
Range75
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.6419107
Coefficient of variation (CV)5.7950848
Kurtosis137.32603
Mean0.97356828
Median Absolute Deviation (MAD)0
Skewness11.12053
Sum221
Variance31.831157
MonotonicityNot monotonic
2024-03-30T08:50:26.185591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 168
55.6%
1 38
 
12.6%
2 13
 
4.3%
75 1
 
0.3%
34 1
 
0.3%
14 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
16 1
 
0.3%
6 1
 
0.3%
(Missing) 75
24.8%
ValueCountFrequency (%)
0 168
55.6%
1 38
 
12.6%
2 13
 
4.3%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
14 1
 
0.3%
16 1
 
0.3%
34 1
 
0.3%
ValueCountFrequency (%)
75 1
 
0.3%
34 1
 
0.3%
16 1
 
0.3%
14 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 13
 
4.3%
1 38
12.6%

2007-01
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.8%
Missing75
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.57268722
Minimum0
Maximum46
Zeros195
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:26.565077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4752925
Coefficient of variation (CV)6.0683953
Kurtosis133.70395
Mean0.57268722
Median Absolute Deviation (MAD)0
Skewness10.841245
Sum130
Variance12.077658
MonotonicityNot monotonic
2024-03-30T08:50:26.931123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 195
64.6%
1 23
 
7.6%
46 1
 
0.3%
19 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
2 1
 
0.3%
7 1
 
0.3%
10 1
 
0.3%
(Missing) 75
 
24.8%
ValueCountFrequency (%)
0 195
64.6%
1 23
 
7.6%
2 1
 
0.3%
3 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
19 1
 
0.3%
ValueCountFrequency (%)
46 1
 
0.3%
19 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
2 1
 
0.3%
1 23
7.6%

2007-02
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.0%
Missing72
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean0.34782609
Minimum0
Maximum28
Zeros199
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:27.711789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0433874
Coefficient of variation (CV)5.8747387
Kurtosis149.65903
Mean0.34782609
Median Absolute Deviation (MAD)0
Skewness11.512841
Sum80
Variance4.1754319
MonotonicityNot monotonic
2024-03-30T08:50:28.174824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 199
65.9%
1 24
 
7.9%
3 3
 
1.0%
28 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
2 1
 
0.3%
(Missing) 72
 
23.8%
ValueCountFrequency (%)
0 199
65.9%
1 24
 
7.9%
2 1
 
0.3%
3 3
 
1.0%
8 1
 
0.3%
9 1
 
0.3%
28 1
 
0.3%
ValueCountFrequency (%)
28 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
3 3
 
1.0%
2 1
 
0.3%
1 24
 
7.9%
0 199
65.9%

2007-03
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.4%
Missing69
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean1.4248927
Minimum0
Maximum112
Zeros197
Zeros (%)65.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:28.815361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum112
Range112
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.798095
Coefficient of variation (CV)7.5781813
Kurtosis79.592958
Mean1.4248927
Median Absolute Deviation (MAD)0
Skewness8.8899975
Sum332
Variance116.59886
MonotonicityNot monotonic
2024-03-30T08:50:29.364560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 197
65.2%
1 27
 
8.9%
2 3
 
1.0%
3 2
 
0.7%
112 1
 
0.3%
91 1
 
0.3%
81 1
 
0.3%
9 1
 
0.3%
(Missing) 69
 
22.8%
ValueCountFrequency (%)
0 197
65.2%
1 27
 
8.9%
2 3
 
1.0%
3 2
 
0.7%
9 1
 
0.3%
81 1
 
0.3%
91 1
 
0.3%
112 1
 
0.3%
ValueCountFrequency (%)
112 1
 
0.3%
91 1
 
0.3%
81 1
 
0.3%
9 1
 
0.3%
3 2
 
0.7%
2 3
 
1.0%
1 27
 
8.9%
0 197
65.2%

2007-04
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.0%
Missing66
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean0.51271186
Minimum0
Maximum42
Zeros203
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:29.931448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.25
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2176123
Coefficient of variation (CV)6.2756737
Kurtosis128.3181
Mean0.51271186
Median Absolute Deviation (MAD)0
Skewness10.785766
Sum121
Variance10.353029
MonotonicityNot monotonic
2024-03-30T08:50:30.332142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 203
67.2%
1 21
 
7.0%
2 7
 
2.3%
6 2
 
0.7%
42 1
 
0.3%
23 1
 
0.3%
9 1
 
0.3%
(Missing) 66
 
21.9%
ValueCountFrequency (%)
0 203
67.2%
1 21
 
7.0%
2 7
 
2.3%
6 2
 
0.7%
9 1
 
0.3%
23 1
 
0.3%
42 1
 
0.3%
ValueCountFrequency (%)
42 1
 
0.3%
23 1
 
0.3%
9 1
 
0.3%
6 2
 
0.7%
2 7
 
2.3%
1 21
 
7.0%
0 203
67.2%

2007-05
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.5%
Missing64
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.42016807
Minimum0
Maximum38
Zeros205
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:30.665420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7711467
Coefficient of variation (CV)6.5953291
Kurtosis149.26994
Mean0.42016807
Median Absolute Deviation (MAD)0
Skewness11.652383
Sum100
Variance7.679254
MonotonicityNot monotonic
2024-03-30T08:50:31.090227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 205
67.9%
1 24
 
7.9%
2 6
 
2.0%
38 1
 
0.3%
17 1
 
0.3%
9 1
 
0.3%
(Missing) 64
 
21.2%
ValueCountFrequency (%)
0 205
67.9%
1 24
 
7.9%
2 6
 
2.0%
9 1
 
0.3%
17 1
 
0.3%
38 1
 
0.3%
ValueCountFrequency (%)
38 1
 
0.3%
17 1
 
0.3%
9 1
 
0.3%
2 6
 
2.0%
1 24
 
7.9%
0 205
67.9%

2007-06
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.9%
Missing63
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean0.46861925
Minimum0
Maximum40
Zeros201
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:31.551838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8868833
Coefficient of variation (CV)6.1604027
Kurtosis153.26634
Mean0.46861925
Median Absolute Deviation (MAD)0
Skewness11.75728
Sum112
Variance8.3340951
MonotonicityNot monotonic
2024-03-30T08:50:31.951961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 201
66.6%
1 28
 
9.3%
2 5
 
1.7%
5 2
 
0.7%
40 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
(Missing) 63
 
20.9%
ValueCountFrequency (%)
0 201
66.6%
1 28
 
9.3%
2 5
 
1.7%
5 2
 
0.7%
7 1
 
0.3%
17 1
 
0.3%
40 1
 
0.3%
ValueCountFrequency (%)
40 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
2 5
 
1.7%
1 28
 
9.3%
0 201
66.6%

2007-07
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.7%
Missing59
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean0.75720165
Minimum0
Maximum54
Zeros208
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:32.531283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5457613
Coefficient of variation (CV)6.0033696
Kurtosis93.745676
Mean0.75720165
Median Absolute Deviation (MAD)0
Skewness9.1449523
Sum184
Variance20.663946
MonotonicityNot monotonic
2024-03-30T08:50:33.014806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 208
68.9%
1 26
 
8.6%
2 2
 
0.7%
10 2
 
0.7%
54 1
 
0.3%
9 1
 
0.3%
36 1
 
0.3%
18 1
 
0.3%
17 1
 
0.3%
(Missing) 59
 
19.5%
ValueCountFrequency (%)
0 208
68.9%
1 26
 
8.6%
2 2
 
0.7%
9 1
 
0.3%
10 2
 
0.7%
17 1
 
0.3%
18 1
 
0.3%
36 1
 
0.3%
54 1
 
0.3%
ValueCountFrequency (%)
54 1
 
0.3%
36 1
 
0.3%
18 1
 
0.3%
17 1
 
0.3%
10 2
 
0.7%
9 1
 
0.3%
2 2
 
0.7%
1 26
 
8.6%
0 208
68.9%

2007-08
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.0%
Missing55
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean2.9797571
Minimum0
Maximum228
Zeros220
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:33.448080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum228
Range228
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.426439
Coefficient of variation (CV)6.8550687
Kurtosis78.440354
Mean2.9797571
Median Absolute Deviation (MAD)0
Skewness8.4786282
Sum736
Variance417.23943
MonotonicityNot monotonic
2024-03-30T08:50:33.906760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 220
72.8%
1 13
 
4.3%
2 6
 
2.0%
59 2
 
0.7%
228 1
 
0.3%
154 1
 
0.3%
133 1
 
0.3%
9 1
 
0.3%
3 1
 
0.3%
66 1
 
0.3%
(Missing) 55
 
18.2%
ValueCountFrequency (%)
0 220
72.8%
1 13
 
4.3%
2 6
 
2.0%
3 1
 
0.3%
9 1
 
0.3%
59 2
 
0.7%
66 1
 
0.3%
133 1
 
0.3%
154 1
 
0.3%
228 1
 
0.3%
ValueCountFrequency (%)
228 1
 
0.3%
154 1
 
0.3%
133 1
 
0.3%
66 1
 
0.3%
59 2
 
0.7%
9 1
 
0.3%
3 1
 
0.3%
2 6
 
2.0%
1 13
 
4.3%
0 220
72.8%

2007-09
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.8%
Missing53
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean0.3935743
Minimum0
Maximum36
Zeros229
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:34.285797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.85357
Coefficient of variation (CV)7.2503973
Kurtosis115.0138
Mean0.3935743
Median Absolute Deviation (MAD)0
Skewness10.300448
Sum98
Variance8.1428618
MonotonicityNot monotonic
2024-03-30T08:50:34.651596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 229
75.8%
1 12
 
4.0%
2 4
 
1.3%
36 1
 
0.3%
23 1
 
0.3%
13 1
 
0.3%
6 1
 
0.3%
(Missing) 53
 
17.5%
ValueCountFrequency (%)
0 229
75.8%
1 12
 
4.0%
2 4
 
1.3%
6 1
 
0.3%
13 1
 
0.3%
23 1
 
0.3%
36 1
 
0.3%
ValueCountFrequency (%)
36 1
 
0.3%
23 1
 
0.3%
13 1
 
0.3%
6 1
 
0.3%
2 4
 
1.3%
1 12
 
4.0%
0 229
75.8%

2007-10
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.8%
Missing52
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.464
Minimum0
Maximum41
Zeros209
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:35.032017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.920758
Coefficient of variation (CV)6.2947371
Kurtosis156.459
Mean0.464
Median Absolute Deviation (MAD)0
Skewness11.932949
Sum116
Variance8.5308273
MonotonicityNot monotonic
2024-03-30T08:50:35.359760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 209
69.2%
1 30
 
9.9%
2 6
 
2.0%
3 2
 
0.7%
41 1
 
0.3%
19 1
 
0.3%
8 1
 
0.3%
(Missing) 52
 
17.2%
ValueCountFrequency (%)
0 209
69.2%
1 30
 
9.9%
2 6
 
2.0%
3 2
 
0.7%
8 1
 
0.3%
19 1
 
0.3%
41 1
 
0.3%
ValueCountFrequency (%)
41 1
 
0.3%
19 1
 
0.3%
8 1
 
0.3%
3 2
 
0.7%
2 6
 
2.0%
1 30
 
9.9%
0 209
69.2%

2007-11
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.1%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean1.372549
Minimum0
Maximum118
Zeros215
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:35.653900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum118
Range118
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.458694
Coefficient of variation (CV)7.6199057
Kurtosis93.743052
Mean1.372549
Median Absolute Deviation (MAD)0
Skewness9.5296017
Sum350
Variance109.38428
MonotonicityNot monotonic
2024-03-30T08:50:36.013512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 215
71.2%
1 29
 
9.6%
2 6
 
2.0%
118 1
 
0.3%
97 1
 
0.3%
17 1
 
0.3%
67 1
 
0.3%
10 1
 
0.3%
(Missing) 47
 
15.6%
ValueCountFrequency (%)
0 215
71.2%
1 29
 
9.6%
2 6
 
2.0%
10 1
 
0.3%
17 1
 
0.3%
67 1
 
0.3%
97 1
 
0.3%
118 1
 
0.3%
ValueCountFrequency (%)
118 1
 
0.3%
97 1
 
0.3%
67 1
 
0.3%
17 1
 
0.3%
10 1
 
0.3%
2 6
 
2.0%
1 29
 
9.6%
0 215
71.2%

2007-12
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.5%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean0.40856031
Minimum0
Maximum37
Zeros226
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:36.348721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5618148
Coefficient of variation (CV)6.2703468
Kurtosis165.95326
Mean0.40856031
Median Absolute Deviation (MAD)0
Skewness12.09714
Sum105
Variance6.5628952
MonotonicityNot monotonic
2024-03-30T08:50:36.739041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 226
74.8%
1 19
 
6.3%
2 4
 
1.3%
4 2
 
0.7%
3 2
 
0.7%
37 1
 
0.3%
12 1
 
0.3%
5 1
 
0.3%
10 1
 
0.3%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 226
74.8%
1 19
 
6.3%
2 4
 
1.3%
3 2
 
0.7%
4 2
 
0.7%
5 1
 
0.3%
10 1
 
0.3%
12 1
 
0.3%
37 1
 
0.3%
ValueCountFrequency (%)
37 1
 
0.3%
12 1
 
0.3%
10 1
 
0.3%
5 1
 
0.3%
4 2
 
0.7%
3 2
 
0.7%
2 4
 
1.3%
1 19
 
6.3%
0 226
74.8%

2008-01
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.4%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean1.0583658
Minimum0
Maximum92
Zeros219
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:37.212838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum92
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.4958293
Coefficient of variation (CV)6.1376035
Kurtosis153.35197
Mean1.0583658
Median Absolute Deviation (MAD)0
Skewness11.524712
Sum272
Variance42.195799
MonotonicityNot monotonic
2024-03-30T08:50:37.698857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 219
72.5%
1 17
 
5.6%
4 4
 
1.3%
5 3
 
1.0%
2 3
 
1.0%
3 3
 
1.0%
92 1
 
0.3%
14 1
 
0.3%
26 1
 
0.3%
22 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 219
72.5%
1 17
 
5.6%
2 3
 
1.0%
3 3
 
1.0%
4 4
 
1.3%
5 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
11 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
92 1
 
0.3%
29 1
 
0.3%
26 1
 
0.3%
22 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 3
1.0%
4 4
1.3%

2008-02
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.5%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean0.47470817
Minimum0
Maximum43
Zeros226
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:38.121366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0670156
Coefficient of variation (CV)6.4608442
Kurtosis149.27
Mean0.47470817
Median Absolute Deviation (MAD)0
Skewness11.448043
Sum122
Variance9.4065844
MonotonicityNot monotonic
2024-03-30T08:50:38.641065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 226
74.8%
1 20
 
6.6%
2 4
 
1.3%
11 2
 
0.7%
43 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
17 1
 
0.3%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 226
74.8%
1 20
 
6.6%
2 4
 
1.3%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
11 2
 
0.7%
17 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
43 1
 
0.3%
17 1
 
0.3%
11 2
 
0.7%
5 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 4
 
1.3%
1 20
 
6.6%
0 226
74.8%

2008-03
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.7%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean0.36964981
Minimum0
Maximum33
Zeros222
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:39.139392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2740754
Coefficient of variation (CV)6.1519725
Kurtosis169.09076
Mean0.36964981
Median Absolute Deviation (MAD)0
Skewness12.256336
Sum95
Variance5.171419
MonotonicityNot monotonic
2024-03-30T08:50:39.562026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 222
73.5%
1 25
 
8.3%
2 5
 
1.7%
10 2
 
0.7%
33 1
 
0.3%
3 1
 
0.3%
4 1
 
0.3%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 222
73.5%
1 25
 
8.3%
2 5
 
1.7%
3 1
 
0.3%
4 1
 
0.3%
10 2
 
0.7%
33 1
 
0.3%
ValueCountFrequency (%)
33 1
 
0.3%
10 2
 
0.7%
4 1
 
0.3%
3 1
 
0.3%
2 5
 
1.7%
1 25
 
8.3%
0 222
73.5%

2008-04
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.5%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean0.55642023
Minimum0
Maximum49
Zeros213
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:40.002502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.2
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5374293
Coefficient of variation (CV)6.3574778
Kurtosis148.44978
Mean0.55642023
Median Absolute Deviation (MAD)0
Skewness11.64448
Sum143
Variance12.513406
MonotonicityNot monotonic
2024-03-30T08:50:40.448886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 213
70.5%
1 31
 
10.3%
2 7
 
2.3%
49 1
 
0.3%
26 1
 
0.3%
5 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
3 1
 
0.3%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 213
70.5%
1 31
 
10.3%
2 7
 
2.3%
3 1
 
0.3%
5 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
26 1
 
0.3%
49 1
 
0.3%
ValueCountFrequency (%)
49 1
 
0.3%
26 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
2 7
 
2.3%
1 31
 
10.3%
0 213
70.5%

2008-05
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.7%
Missing44
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean0.43023256
Minimum0
Maximum40
Zeros222
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:40.923893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.832032
Coefficient of variation (CV)6.5825609
Kurtosis156.46817
Mean0.43023256
Median Absolute Deviation (MAD)0
Skewness11.918326
Sum111
Variance8.0204054
MonotonicityNot monotonic
2024-03-30T08:50:41.387111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 222
73.5%
1 25
 
8.3%
2 6
 
2.0%
3 2
 
0.7%
40 1
 
0.3%
19 1
 
0.3%
9 1
 
0.3%
(Missing) 44
 
14.6%
ValueCountFrequency (%)
0 222
73.5%
1 25
 
8.3%
2 6
 
2.0%
3 2
 
0.7%
9 1
 
0.3%
19 1
 
0.3%
40 1
 
0.3%
ValueCountFrequency (%)
40 1
 
0.3%
19 1
 
0.3%
9 1
 
0.3%
3 2
 
0.7%
2 6
 
2.0%
1 25
 
8.3%
0 222
73.5%

2008-06
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.7%
Missing40
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean0.49236641
Minimum0
Maximum44
Zeros217
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:41.891462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0709894
Coefficient of variation (CV)6.2372033
Kurtosis161.65745
Mean0.49236641
Median Absolute Deviation (MAD)0
Skewness12.090648
Sum129
Variance9.430976
MonotonicityNot monotonic
2024-03-30T08:50:42.633781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 217
71.9%
1 33
 
10.9%
2 5
 
1.7%
3 4
 
1.3%
44 1
 
0.3%
20 1
 
0.3%
10 1
 
0.3%
(Missing) 40
 
13.2%
ValueCountFrequency (%)
0 217
71.9%
1 33
 
10.9%
2 5
 
1.7%
3 4
 
1.3%
10 1
 
0.3%
20 1
 
0.3%
44 1
 
0.3%
ValueCountFrequency (%)
44 1
 
0.3%
20 1
 
0.3%
10 1
 
0.3%
3 4
 
1.3%
2 5
 
1.7%
1 33
 
10.9%
0 217
71.9%

2008-07
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.0%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean0.40151515
Minimum0
Maximum37
Zeros226
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:42.972924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5894194
Coefficient of variation (CV)6.44912
Kurtosis159.26413
Mean0.40151515
Median Absolute Deviation (MAD)0
Skewness11.98201
Sum106
Variance6.7050928
MonotonicityNot monotonic
2024-03-30T08:50:43.471006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 226
74.8%
1 30
 
9.9%
2 3
 
1.0%
37 1
 
0.3%
17 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
9 1
 
0.3%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 226
74.8%
1 30
 
9.9%
2 3
 
1.0%
3 1
 
0.3%
4 1
 
0.3%
9 1
 
0.3%
17 1
 
0.3%
37 1
 
0.3%
ValueCountFrequency (%)
37 1
 
0.3%
17 1
 
0.3%
9 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 3
 
1.0%
1 30
 
9.9%
0 226
74.8%

2008-08
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.0%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean0.56060606
Minimum0
Maximum52
Zeros233
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:43.993066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum52
Range52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9526813
Coefficient of variation (CV)7.0507288
Kurtosis123.35454
Mean0.56060606
Median Absolute Deviation (MAD)0
Skewness10.591762
Sum148
Variance15.623689
MonotonicityNot monotonic
2024-03-30T08:50:44.343779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 233
77.2%
1 24
 
7.9%
5 2
 
0.7%
52 1
 
0.3%
30 1
 
0.3%
21 1
 
0.3%
3 1
 
0.3%
8 1
 
0.3%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 233
77.2%
1 24
 
7.9%
3 1
 
0.3%
5 2
 
0.7%
8 1
 
0.3%
21 1
 
0.3%
30 1
 
0.3%
52 1
 
0.3%
ValueCountFrequency (%)
52 1
 
0.3%
30 1
 
0.3%
21 1
 
0.3%
8 1
 
0.3%
5 2
 
0.7%
3 1
 
0.3%
1 24
 
7.9%
0 233
77.2%

2008-09
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.6%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean0.33584906
Minimum0
Maximum31
Zeros237
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:44.865303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1838851
Coefficient of variation (CV)6.5025791
Kurtosis153.47546
Mean0.33584906
Median Absolute Deviation (MAD)0
Skewness11.663019
Sum89
Variance4.7693539
MonotonicityNot monotonic
2024-03-30T08:50:45.446413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 237
78.5%
1 17
 
5.6%
2 6
 
2.0%
3 2
 
0.7%
31 1
 
0.3%
10 1
 
0.3%
13 1
 
0.3%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 237
78.5%
1 17
 
5.6%
2 6
 
2.0%
3 2
 
0.7%
10 1
 
0.3%
13 1
 
0.3%
31 1
 
0.3%
ValueCountFrequency (%)
31 1
 
0.3%
13 1
 
0.3%
10 1
 
0.3%
3 2
 
0.7%
2 6
 
2.0%
1 17
 
5.6%
0 237
78.5%

2008-10
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.0%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean0.69056604
Minimum0
Maximum63
Zeros241
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:45.806696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum63
Range63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2981652
Coefficient of variation (CV)7.6722065
Kurtosis98.654423
Mean0.69056604
Median Absolute Deviation (MAD)0
Skewness9.697615
Sum183
Variance28.070555
MonotonicityNot monotonic
2024-03-30T08:50:46.252014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 241
79.8%
1 16
 
5.3%
2 3
 
1.0%
63 1
 
0.3%
11 1
 
0.3%
5 1
 
0.3%
45 1
 
0.3%
37 1
 
0.3%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 241
79.8%
1 16
 
5.3%
2 3
 
1.0%
5 1
 
0.3%
11 1
 
0.3%
37 1
 
0.3%
45 1
 
0.3%
63 1
 
0.3%
ValueCountFrequency (%)
63 1
 
0.3%
45 1
 
0.3%
37 1
 
0.3%
11 1
 
0.3%
5 1
 
0.3%
2 3
 
1.0%
1 16
 
5.3%
0 241
79.8%

2008-11
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.6%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean0.23018868
Minimum0
Maximum23
Zeros243
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:46.813225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5774914
Coefficient of variation (CV)6.8530364
Kurtosis169.25379
Mean0.23018868
Median Absolute Deviation (MAD)0
Skewness12.279814
Sum61
Variance2.4884791
MonotonicityNot monotonic
2024-03-30T08:50:47.340269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 243
80.5%
1 15
 
5.0%
2 3
 
1.0%
23 1
 
0.3%
9 1
 
0.3%
3 1
 
0.3%
5 1
 
0.3%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 243
80.5%
1 15
 
5.0%
2 3
 
1.0%
3 1
 
0.3%
5 1
 
0.3%
9 1
 
0.3%
23 1
 
0.3%
ValueCountFrequency (%)
23 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
2 3
 
1.0%
1 15
 
5.0%
0 243
80.5%

2008-12
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.3%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean0.16981132
Minimum0
Maximum19
Zeros249
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:47.753200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.281214
Coefficient of variation (CV)7.5449272
Kurtosis181.04318
Mean0.16981132
Median Absolute Deviation (MAD)0
Skewness12.777664
Sum45
Variance1.6415094
MonotonicityNot monotonic
2024-03-30T08:50:48.077822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 249
82.5%
1 10
 
3.3%
2 3
 
1.0%
19 1
 
0.3%
7 1
 
0.3%
3 1
 
0.3%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 249
82.5%
1 10
 
3.3%
2 3
 
1.0%
3 1
 
0.3%
7 1
 
0.3%
19 1
 
0.3%
ValueCountFrequency (%)
19 1
 
0.3%
7 1
 
0.3%
3 1
 
0.3%
2 3
 
1.0%
1 10
 
3.3%
0 249
82.5%

2009-01
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.6%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean0.23773585
Minimum0
Maximum23
Zeros240
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:48.872920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5545908
Coefficient of variation (CV)6.5391516
Kurtosis177.24675
Mean0.23773585
Median Absolute Deviation (MAD)0
Skewness12.53217
Sum63
Variance2.4167524
MonotonicityNot monotonic
2024-03-30T08:50:49.321359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 240
79.5%
1 18
 
6.0%
2 3
 
1.0%
23 1
 
0.3%
7 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 240
79.5%
1 18
 
6.0%
2 3
 
1.0%
3 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
23 1
 
0.3%
ValueCountFrequency (%)
23 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
3 1
 
0.3%
2 3
 
1.0%
1 18
 
6.0%
0 240
79.5%

2009-02
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.4%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean0.5245283
Minimum0
Maximum48
Zeros233
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:49.774976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4619635
Coefficient of variation (CV)6.6001463
Kurtosis140.08434
Mean0.5245283
Median Absolute Deviation (MAD)0
Skewness11.063612
Sum139
Variance11.985192
MonotonicityNot monotonic
2024-03-30T08:50:50.556464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 233
77.2%
1 23
 
7.6%
2 2
 
0.7%
4 2
 
0.7%
48 1
 
0.3%
11 1
 
0.3%
19 1
 
0.3%
18 1
 
0.3%
8 1
 
0.3%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 233
77.2%
1 23
 
7.6%
2 2
 
0.7%
4 2
 
0.7%
8 1
 
0.3%
11 1
 
0.3%
18 1
 
0.3%
19 1
 
0.3%
48 1
 
0.3%
ValueCountFrequency (%)
48 1
 
0.3%
19 1
 
0.3%
18 1
 
0.3%
11 1
 
0.3%
8 1
 
0.3%
4 2
 
0.7%
2 2
 
0.7%
1 23
 
7.6%
0 233
77.2%

2009-03
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.4%
Missing35
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean0.90262172
Minimum0
Maximum81
Zeros217
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:50.982724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9923097
Coefficient of variation (CV)6.6387829
Kurtosis129.56611
Mean0.90262172
Median Absolute Deviation (MAD)0
Skewness10.737349
Sum241
Variance35.907775
MonotonicityNot monotonic
2024-03-30T08:50:51.483886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 217
71.9%
1 35
 
11.6%
2 8
 
2.6%
3 2
 
0.7%
81 1
 
0.3%
17 1
 
0.3%
37 1
 
0.3%
36 1
 
0.3%
13 1
 
0.3%
(Missing) 35
 
11.6%
ValueCountFrequency (%)
0 217
71.9%
1 35
 
11.6%
2 8
 
2.6%
3 2
 
0.7%
13 1
 
0.3%
17 1
 
0.3%
36 1
 
0.3%
37 1
 
0.3%
81 1
 
0.3%
ValueCountFrequency (%)
81 1
 
0.3%
37 1
 
0.3%
36 1
 
0.3%
17 1
 
0.3%
13 1
 
0.3%
3 2
 
0.7%
2 8
 
2.6%
1 35
 
11.6%
0 217
71.9%

2009-04
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.1%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean1.8401487
Minimum0
Maximum166
Zeros225
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:52.087735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum166
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.062776
Coefficient of variation (CV)7.6421954
Kurtosis97.645195
Mean1.8401487
Median Absolute Deviation (MAD)0
Skewness9.7043425
Sum495
Variance197.76167
MonotonicityNot monotonic
2024-03-30T08:50:52.612029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 225
74.5%
1 25
 
8.3%
2 7
 
2.3%
5 3
 
1.0%
3 2
 
0.7%
4 2
 
0.7%
166 1
 
0.3%
21 1
 
0.3%
114 1
 
0.3%
112 1
 
0.3%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 225
74.5%
1 25
 
8.3%
2 7
 
2.3%
3 2
 
0.7%
4 2
 
0.7%
5 3
 
1.0%
14 1
 
0.3%
21 1
 
0.3%
112 1
 
0.3%
114 1
 
0.3%
ValueCountFrequency (%)
166 1
 
0.3%
114 1
 
0.3%
112 1
 
0.3%
21 1
 
0.3%
14 1
 
0.3%
5 3
 
1.0%
4 2
 
0.7%
3 2
 
0.7%
2 7
 
2.3%
1 25
8.3%

2009-05
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.5%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean0.73977695
Minimum0
Maximum71
Zeros224
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:53.076098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum71
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.806628
Coefficient of variation (CV)6.4974017
Kurtosis173.63298
Mean0.73977695
Median Absolute Deviation (MAD)0
Skewness12.370901
Sum199
Variance23.103673
MonotonicityNot monotonic
2024-03-30T08:50:53.560905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 224
74.2%
1 30
 
9.9%
2 6
 
2.0%
71 1
 
0.3%
23 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
4 1
 
0.3%
15 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 224
74.2%
1 30
 
9.9%
2 6
 
2.0%
3 1
 
0.3%
4 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
13 1
 
0.3%
14 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
71 1
 
0.3%
23 1
 
0.3%
15 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 6
2.0%

2009-06
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.1%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean0.73605948
Minimum0
Maximum67
Zeros214
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:53.918660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum67
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5475351
Coefficient of variation (CV)6.1782169
Kurtosis173.15615
Mean0.73605948
Median Absolute Deviation (MAD)0
Skewness12.447533
Sum198
Variance20.680075
MonotonicityNot monotonic
2024-03-30T08:50:54.382539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 214
70.9%
1 37
 
12.3%
2 6
 
2.0%
3 4
 
1.3%
4 2
 
0.7%
67 1
 
0.3%
26 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 214
70.9%
1 37
 
12.3%
2 6
 
2.0%
3 4
 
1.3%
4 2
 
0.7%
5 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
16 1
 
0.3%
26 1
 
0.3%
ValueCountFrequency (%)
67 1
 
0.3%
26 1
 
0.3%
16 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
4 2
 
0.7%
3 4
 
1.3%
2 6
 
2.0%
1 37
12.3%

2009-07
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.8%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean0.93333333
Minimum0
Maximum85
Zeros211
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:54.829943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6248255
Coefficient of variation (CV)6.0265987
Kurtosis188.26251
Mean0.93333333
Median Absolute Deviation (MAD)0
Skewness12.950232
Sum252
Variance31.638662
MonotonicityNot monotonic
2024-03-30T08:50:55.222518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 211
69.9%
1 34
 
11.3%
2 10
 
3.3%
3 4
 
1.3%
6 2
 
0.7%
4 2
 
0.7%
85 1
 
0.3%
25 1
 
0.3%
8 1
 
0.3%
16 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 211
69.9%
1 34
 
11.3%
2 10
 
3.3%
3 4
 
1.3%
4 2
 
0.7%
6 2
 
0.7%
7 1
 
0.3%
8 1
 
0.3%
12 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
85 1
 
0.3%
25 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
12 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 2
0.7%
4 2
0.7%
3 4
1.3%

2009-08
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.7%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean0.69259259
Minimum0
Maximum64
Zeros216
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:55.645451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3214195
Coefficient of variation (CV)6.2394826
Kurtosis176.20018
Mean0.69259259
Median Absolute Deviation (MAD)0
Skewness12.574733
Sum187
Variance18.674666
MonotonicityNot monotonic
2024-03-30T08:50:56.009277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 216
71.5%
1 37
 
12.3%
3 6
 
2.0%
2 5
 
1.7%
64 1
 
0.3%
25 1
 
0.3%
6 1
 
0.3%
10 1
 
0.3%
4 1
 
0.3%
13 1
 
0.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 216
71.5%
1 37
 
12.3%
2 5
 
1.7%
3 6
 
2.0%
4 1
 
0.3%
6 1
 
0.3%
10 1
 
0.3%
13 1
 
0.3%
25 1
 
0.3%
64 1
 
0.3%
ValueCountFrequency (%)
64 1
 
0.3%
25 1
 
0.3%
13 1
 
0.3%
10 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
3 6
 
2.0%
2 5
 
1.7%
1 37
 
12.3%
0 216
71.5%

2009-09
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.7%
Missing32
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean1.2
Minimum0
Maximum107
Zeros203
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:56.353513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum107
Range107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.1976513
Coefficient of variation (CV)6.8313761
Kurtosis121.62989
Mean1.2
Median Absolute Deviation (MAD)0
Skewness10.614841
Sum324
Variance67.201487
MonotonicityNot monotonic
2024-03-30T08:50:56.721270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 203
67.2%
1 50
 
16.6%
2 6
 
2.0%
3 5
 
1.7%
107 1
 
0.3%
67 1
 
0.3%
46 1
 
0.3%
9 1
 
0.3%
4 1
 
0.3%
14 1
 
0.3%
(Missing) 32
 
10.6%
ValueCountFrequency (%)
0 203
67.2%
1 50
 
16.6%
2 6
 
2.0%
3 5
 
1.7%
4 1
 
0.3%
9 1
 
0.3%
14 1
 
0.3%
46 1
 
0.3%
67 1
 
0.3%
107 1
 
0.3%
ValueCountFrequency (%)
107 1
 
0.3%
67 1
 
0.3%
46 1
 
0.3%
14 1
 
0.3%
9 1
 
0.3%
4 1
 
0.3%
3 5
 
1.7%
2 6
 
2.0%
1 50
 
16.6%
0 203
67.2%

2009-10
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.1%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean0.78597786
Minimum0
Maximum71
Zeros213
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:57.189967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.5
Maximum71
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7941271
Coefficient of variation (CV)6.0995701
Kurtosis175.54842
Mean0.78597786
Median Absolute Deviation (MAD)0
Skewness12.545577
Sum213
Variance22.983655
MonotonicityNot monotonic
2024-03-30T08:50:57.714079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 213
70.5%
1 38
 
12.6%
2 6
 
2.0%
3 4
 
1.3%
4 3
 
1.0%
6 2
 
0.7%
71 1
 
0.3%
28 1
 
0.3%
5 1
 
0.3%
16 1
 
0.3%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 213
70.5%
1 38
 
12.6%
2 6
 
2.0%
3 4
 
1.3%
4 3
 
1.0%
5 1
 
0.3%
6 2
 
0.7%
7 1
 
0.3%
16 1
 
0.3%
28 1
 
0.3%
ValueCountFrequency (%)
71 1
 
0.3%
28 1
 
0.3%
16 1
 
0.3%
7 1
 
0.3%
6 2
 
0.7%
5 1
 
0.3%
4 3
 
1.0%
3 4
 
1.3%
2 6
 
2.0%
1 38
12.6%

2009-11
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.8%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean1.0073801
Minimum0
Maximum84
Zeros221
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:50:58.434843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum84
Range84
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.8188663
Coefficient of variation (CV)5.7762372
Kurtosis156.7398
Mean1.0073801
Median Absolute Deviation (MAD)0
Skewness11.581368
Sum273
Variance33.859205
MonotonicityNot monotonic
2024-03-30T08:50:59.107383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 221
73.2%
1 26
 
8.6%
2 9
 
3.0%
3 3
 
1.0%
4 2
 
0.7%
13 2
 
0.7%
14 2
 
0.7%
84 1
 
0.3%
18 1
 
0.3%
30 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 221
73.2%
1 26
 
8.6%
2 9
 
3.0%
3 3
 
1.0%
4 2
 
0.7%
5 1
 
0.3%
6 1
 
0.3%
13 2
 
0.7%
14 2
 
0.7%
15 1
 
0.3%
ValueCountFrequency (%)
84 1
 
0.3%
30 1
 
0.3%
18 1
 
0.3%
15 1
 
0.3%
14 2
0.7%
13 2
0.7%
6 1
 
0.3%
5 1
 
0.3%
4 2
0.7%
3 3
1.0%

2009-12
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.4%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean0.79704797
Minimum0
Maximum74
Zeros212
Zeros (%)70.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:00.101119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum74
Range74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.9102454
Coefficient of variation (CV)6.1605394
Kurtosis186.06736
Mean0.79704797
Median Absolute Deviation (MAD)0
Skewness12.884013
Sum216
Variance24.11051
MonotonicityNot monotonic
2024-03-30T08:51:00.491637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 212
70.2%
1 41
 
13.6%
2 7
 
2.3%
3 2
 
0.7%
5 2
 
0.7%
74 1
 
0.3%
23 1
 
0.3%
15 1
 
0.3%
9 1
 
0.3%
4 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 212
70.2%
1 41
 
13.6%
2 7
 
2.3%
3 2
 
0.7%
4 1
 
0.3%
5 2
 
0.7%
7 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
74 1
 
0.3%
23 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 1
 
0.3%
3 2
 
0.7%
2 7
2.3%

2010-01
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)5.1%
Missing107
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean0.92307692
Minimum0
Maximum63
Zeros160
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:00.893250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum63
Range63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.337982
Coefficient of variation (CV)5.7828139
Kurtosis102.44024
Mean0.92307692
Median Absolute Deviation (MAD)0
Skewness9.5943053
Sum180
Variance28.494052
MonotonicityNot monotonic
2024-03-30T08:51:01.215148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 160
53.0%
1 23
 
7.6%
2 4
 
1.3%
8 2
 
0.7%
63 1
 
0.3%
34 1
 
0.3%
16 1
 
0.3%
7 1
 
0.3%
4 1
 
0.3%
9 1
 
0.3%
(Missing) 107
35.4%
ValueCountFrequency (%)
0 160
53.0%
1 23
 
7.6%
2 4
 
1.3%
4 1
 
0.3%
7 1
 
0.3%
8 2
 
0.7%
9 1
 
0.3%
16 1
 
0.3%
34 1
 
0.3%
63 1
 
0.3%
ValueCountFrequency (%)
63 1
 
0.3%
34 1
 
0.3%
16 1
 
0.3%
9 1
 
0.3%
8 2
 
0.7%
7 1
 
0.3%
4 1
 
0.3%
2 4
 
1.3%
1 23
 
7.6%
0 160
53.0%

2010-02
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.9%
Missing97
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean0.6
Minimum0
Maximum43
Zeros165
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:01.572520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.8
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3542481
Coefficient of variation (CV)5.5904135
Kurtosis129.04819
Mean0.6
Median Absolute Deviation (MAD)0
Skewness10.738729
Sum123
Variance11.25098
MonotonicityNot monotonic
2024-03-30T08:51:01.947120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 165
54.6%
1 29
 
9.6%
2 4
 
1.3%
3 2
 
0.7%
4 2
 
0.7%
43 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
(Missing) 97
32.1%
ValueCountFrequency (%)
0 165
54.6%
1 29
 
9.6%
2 4
 
1.3%
3 2
 
0.7%
4 2
 
0.7%
13 1
 
0.3%
16 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
43 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
4 2
 
0.7%
3 2
 
0.7%
2 4
 
1.3%
1 29
 
9.6%
0 165
54.6%

2010-03
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)4.1%
Missing83
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean0.71232877
Minimum0
Maximum54
Zeros167
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:02.404987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.931102
Coefficient of variation (CV)5.5186624
Kurtosis157.49683
Mean0.71232877
Median Absolute Deviation (MAD)0
Skewness11.913595
Sum156
Variance15.453563
MonotonicityNot monotonic
2024-03-30T08:51:02.898340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 167
55.3%
1 38
 
12.6%
2 5
 
1.7%
5 3
 
1.0%
3 2
 
0.7%
54 1
 
0.3%
16 1
 
0.3%
11 1
 
0.3%
6 1
 
0.3%
(Missing) 83
27.5%
ValueCountFrequency (%)
0 167
55.3%
1 38
 
12.6%
2 5
 
1.7%
3 2
 
0.7%
5 3
 
1.0%
6 1
 
0.3%
11 1
 
0.3%
16 1
 
0.3%
54 1
 
0.3%
ValueCountFrequency (%)
54 1
 
0.3%
16 1
 
0.3%
11 1
 
0.3%
6 1
 
0.3%
5 3
 
1.0%
3 2
 
0.7%
2 5
 
1.7%
1 38
 
12.6%
0 167
55.3%

2010-04
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)5.4%
Missing79
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean1.367713
Minimum0
Maximum102
Zeros163
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:03.342590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum102
Range102
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.7674093
Coefficient of variation (CV)5.6791222
Kurtosis130.72158
Mean1.367713
Median Absolute Deviation (MAD)0
Skewness10.711537
Sum305
Variance60.332647
MonotonicityNot monotonic
2024-03-30T08:51:03.852406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 163
54.0%
1 35
 
11.6%
2 12
 
4.0%
5 4
 
1.3%
3 2
 
0.7%
102 1
 
0.3%
22 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
17 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 79
26.2%
ValueCountFrequency (%)
0 163
54.0%
1 35
 
11.6%
2 12
 
4.0%
3 2
 
0.7%
4 1
 
0.3%
5 4
 
1.3%
6 1
 
0.3%
17 1
 
0.3%
22 1
 
0.3%
34 1
 
0.3%
ValueCountFrequency (%)
102 1
 
0.3%
35 1
 
0.3%
34 1
 
0.3%
22 1
 
0.3%
17 1
 
0.3%
6 1
 
0.3%
5 4
 
1.3%
4 1
 
0.3%
3 2
 
0.7%
2 12
4.0%

2010-05
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.5%
Missing73
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean0.61135371
Minimum0
Maximum45
Zeros177
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:04.296835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2325174
Coefficient of variation (CV)5.2874749
Kurtosis158.75076
Mean0.61135371
Median Absolute Deviation (MAD)0
Skewness11.912378
Sum140
Variance10.449169
MonotonicityNot monotonic
2024-03-30T08:51:04.772861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 177
58.6%
1 36
 
11.9%
2 6
 
2.0%
3 6
 
2.0%
45 1
 
0.3%
13 1
 
0.3%
12 1
 
0.3%
4 1
 
0.3%
(Missing) 73
24.2%
ValueCountFrequency (%)
0 177
58.6%
1 36
 
11.9%
2 6
 
2.0%
3 6
 
2.0%
4 1
 
0.3%
12 1
 
0.3%
13 1
 
0.3%
45 1
 
0.3%
ValueCountFrequency (%)
45 1
 
0.3%
13 1
 
0.3%
12 1
 
0.3%
4 1
 
0.3%
3 6
 
2.0%
2 6
 
2.0%
1 36
 
11.9%
0 177
58.6%

2010-06
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.4%
Missing70
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean0.52586207
Minimum0
Maximum41
Zeros186
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:05.204989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.45
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9511498
Coefficient of variation (CV)5.6120225
Kurtosis156.57114
Mean0.52586207
Median Absolute Deviation (MAD)0
Skewness11.840562
Sum122
Variance8.709285
MonotonicityNot monotonic
2024-03-30T08:51:05.674192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 186
61.6%
1 34
 
11.3%
2 6
 
2.0%
4 2
 
0.7%
41 1
 
0.3%
14 1
 
0.3%
10 1
 
0.3%
3 1
 
0.3%
(Missing) 70
 
23.2%
ValueCountFrequency (%)
0 186
61.6%
1 34
 
11.3%
2 6
 
2.0%
3 1
 
0.3%
4 2
 
0.7%
10 1
 
0.3%
14 1
 
0.3%
41 1
 
0.3%
ValueCountFrequency (%)
41 1
 
0.3%
14 1
 
0.3%
10 1
 
0.3%
4 2
 
0.7%
3 1
 
0.3%
2 6
 
2.0%
1 34
 
11.3%
0 186
61.6%

2010-07
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.3%
Missing67
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.63829787
Minimum0
Maximum52
Zeros196
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:06.018950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum52
Range52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9376852
Coefficient of variation (CV)6.1690401
Kurtosis130.98128
Mean0.63829787
Median Absolute Deviation (MAD)0
Skewness10.809427
Sum150
Variance15.505365
MonotonicityNot monotonic
2024-03-30T08:51:06.368158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 196
64.9%
1 29
 
9.6%
2 3
 
1.0%
52 1
 
0.3%
25 1
 
0.3%
14 1
 
0.3%
3 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
(Missing) 67
 
22.2%
ValueCountFrequency (%)
0 196
64.9%
1 29
 
9.6%
2 3
 
1.0%
3 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
14 1
 
0.3%
25 1
 
0.3%
52 1
 
0.3%
ValueCountFrequency (%)
52 1
 
0.3%
25 1
 
0.3%
14 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
3 1
 
0.3%
2 3
 
1.0%
1 29
 
9.6%
0 196
64.9%

2010-08
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.8%
Missing62
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean0.64166667
Minimum0
Maximum53
Zeros199
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:06.743386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.05
Maximum53
Range53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8186853
Coefficient of variation (CV)5.9511978
Kurtosis152.44312
Mean0.64166667
Median Absolute Deviation (MAD)0
Skewness11.657724
Sum154
Variance14.582357
MonotonicityNot monotonic
2024-03-30T08:51:07.274195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 199
65.9%
1 25
 
8.3%
4 4
 
1.3%
2 4
 
1.3%
3 4
 
1.3%
53 1
 
0.3%
21 1
 
0.3%
7 1
 
0.3%
12 1
 
0.3%
(Missing) 62
 
20.5%
ValueCountFrequency (%)
0 199
65.9%
1 25
 
8.3%
2 4
 
1.3%
3 4
 
1.3%
4 4
 
1.3%
7 1
 
0.3%
12 1
 
0.3%
21 1
 
0.3%
53 1
 
0.3%
ValueCountFrequency (%)
53 1
 
0.3%
21 1
 
0.3%
12 1
 
0.3%
7 1
 
0.3%
4 4
 
1.3%
3 4
 
1.3%
2 4
 
1.3%
1 25
 
8.3%
0 199
65.9%

2010-09
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.1%
Missing59
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean0.52674897
Minimum0
Maximum44
Zeros206
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:07.745008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1192392
Coefficient of variation (CV)5.9216807
Kurtosis159.58041
Mean0.52674897
Median Absolute Deviation (MAD)0
Skewness11.901321
Sum128
Variance9.7296534
MonotonicityNot monotonic
2024-03-30T08:51:08.212602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 206
68.2%
1 22
 
7.3%
2 6
 
2.0%
3 2
 
0.7%
5 2
 
0.7%
44 1
 
0.3%
16 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
(Missing) 59
 
19.5%
ValueCountFrequency (%)
0 206
68.2%
1 22
 
7.3%
2 6
 
2.0%
3 2
 
0.7%
4 1
 
0.3%
5 2
 
0.7%
6 1
 
0.3%
8 1
 
0.3%
16 1
 
0.3%
44 1
 
0.3%
ValueCountFrequency (%)
44 1
 
0.3%
16 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 1
 
0.3%
3 2
 
0.7%
2 6
 
2.0%
1 22
 
7.3%
0 206
68.2%

2010-10
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.3%
Missing57
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean0.52653061
Minimum0
Maximum44
Zeros195
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:08.554087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0157222
Coefficient of variation (CV)5.7275343
Kurtosis179.66092
Mean0.52653061
Median Absolute Deviation (MAD)0
Skewness12.746984
Sum129
Variance9.0945801
MonotonicityNot monotonic
2024-03-30T08:51:08.864493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 195
64.6%
1 36
 
11.9%
2 7
 
2.3%
3 3
 
1.0%
44 1
 
0.3%
10 1
 
0.3%
4 1
 
0.3%
12 1
 
0.3%
(Missing) 57
 
18.9%
ValueCountFrequency (%)
0 195
64.6%
1 36
 
11.9%
2 7
 
2.3%
3 3
 
1.0%
4 1
 
0.3%
10 1
 
0.3%
12 1
 
0.3%
44 1
 
0.3%
ValueCountFrequency (%)
44 1
 
0.3%
12 1
 
0.3%
10 1
 
0.3%
4 1
 
0.3%
3 3
 
1.0%
2 7
 
2.3%
1 36
 
11.9%
0 195
64.6%

2010-11
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.6%
Missing52
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.904
Minimum0
Maximum76
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:09.340839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile2
Maximum76
Range76
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation5.2049158
Coefficient of variation (CV)5.7576502
Kurtosis176.76619
Mean0.904
Median Absolute Deviation (MAD)0
Skewness12.589501
Sum226
Variance27.091149
MonotonicityNot monotonic
2024-03-30T08:51:09.674207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 187
61.9%
1 42
 
13.9%
2 9
 
3.0%
6 3
 
1.0%
5 3
 
1.0%
20 2
 
0.7%
4 2
 
0.7%
76 1
 
0.3%
9 1
 
0.3%
(Missing) 52
 
17.2%
ValueCountFrequency (%)
0 187
61.9%
1 42
 
13.9%
2 9
 
3.0%
4 2
 
0.7%
5 3
 
1.0%
6 3
 
1.0%
9 1
 
0.3%
20 2
 
0.7%
76 1
 
0.3%
ValueCountFrequency (%)
76 1
 
0.3%
20 2
 
0.7%
9 1
 
0.3%
6 3
 
1.0%
5 3
 
1.0%
4 2
 
0.7%
2 9
 
3.0%
1 42
 
13.9%
0 187
61.9%

2010-12
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.2%
Missing50
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean0.72619048
Minimum0
Maximum62
Zeros193
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:10.037510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2782258
Coefficient of variation (CV)5.8913273
Kurtosis171.94545
Mean0.72619048
Median Absolute Deviation (MAD)0
Skewness12.471122
Sum183
Variance18.303216
MonotonicityNot monotonic
2024-03-30T08:51:10.383644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 193
63.9%
1 39
 
12.9%
2 11
 
3.6%
5 3
 
1.0%
3 3
 
1.0%
62 1
 
0.3%
23 1
 
0.3%
13 1
 
0.3%
(Missing) 50
 
16.6%
ValueCountFrequency (%)
0 193
63.9%
1 39
 
12.9%
2 11
 
3.6%
3 3
 
1.0%
5 3
 
1.0%
13 1
 
0.3%
23 1
 
0.3%
62 1
 
0.3%
ValueCountFrequency (%)
62 1
 
0.3%
23 1
 
0.3%
13 1
 
0.3%
5 3
 
1.0%
3 3
 
1.0%
2 11
 
3.6%
1 39
 
12.9%
0 193
63.9%

2011-01
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.2%
Missing49
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean0.43083004
Minimum0
Maximum38
Zeros213
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:10.849812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.645781
Coefficient of variation (CV)6.1411246
Kurtosis165.30732
Mean0.43083004
Median Absolute Deviation (MAD)0
Skewness12.152982
Sum109
Variance7.0001568
MonotonicityNot monotonic
2024-03-30T08:51:11.189466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 213
70.5%
1 31
 
10.3%
2 3
 
1.0%
3 2
 
0.7%
38 1
 
0.3%
13 1
 
0.3%
4 1
 
0.3%
11 1
 
0.3%
(Missing) 49
 
16.2%
ValueCountFrequency (%)
0 213
70.5%
1 31
 
10.3%
2 3
 
1.0%
3 2
 
0.7%
4 1
 
0.3%
11 1
 
0.3%
13 1
 
0.3%
38 1
 
0.3%
ValueCountFrequency (%)
38 1
 
0.3%
13 1
 
0.3%
11 1
 
0.3%
4 1
 
0.3%
3 2
 
0.7%
2 3
 
1.0%
1 31
 
10.3%
0 213
70.5%

2011-02
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.1%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean0.47843137
Minimum0
Maximum45
Zeros214
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:11.536021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0826102
Coefficient of variation (CV)6.4431607
Kurtosis174.96622
Mean0.47843137
Median Absolute Deviation (MAD)0
Skewness12.564439
Sum122
Variance9.5024857
MonotonicityNot monotonic
2024-03-30T08:51:11.851326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 214
70.9%
1 29
 
9.6%
2 7
 
2.3%
45 1
 
0.3%
13 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
14 1
 
0.3%
(Missing) 47
 
15.6%
ValueCountFrequency (%)
0 214
70.9%
1 29
 
9.6%
2 7
 
2.3%
3 1
 
0.3%
4 1
 
0.3%
13 1
 
0.3%
14 1
 
0.3%
45 1
 
0.3%
ValueCountFrequency (%)
45 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 7
 
2.3%
1 29
 
9.6%
0 214
70.9%

2011-03
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.1%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean0.68627451
Minimum0
Maximum59
Zeros193
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:12.412725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0580929
Coefficient of variation (CV)5.9132211
Kurtosis171.85591
Mean0.68627451
Median Absolute Deviation (MAD)0
Skewness12.451093
Sum175
Variance16.468118
MonotonicityNot monotonic
2024-03-30T08:51:12.851812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 193
63.9%
1 46
 
15.2%
2 8
 
2.6%
3 3
 
1.0%
4 2
 
0.7%
59 1
 
0.3%
19 1
 
0.3%
18 1
 
0.3%
(Missing) 47
 
15.6%
ValueCountFrequency (%)
0 193
63.9%
1 46
 
15.2%
2 8
 
2.6%
3 3
 
1.0%
4 2
 
0.7%
18 1
 
0.3%
19 1
 
0.3%
59 1
 
0.3%
ValueCountFrequency (%)
59 1
 
0.3%
19 1
 
0.3%
18 1
 
0.3%
4 2
 
0.7%
3 3
 
1.0%
2 8
 
2.6%
1 46
 
15.2%
0 193
63.9%

2011-04
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.5%
Missing46
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.71875
Minimum0
Maximum62
Zeros201
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:13.297881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2894078
Coefficient of variation (CV)5.9678718
Kurtosis167.57189
Mean0.71875
Median Absolute Deviation (MAD)0
Skewness12.258875
Sum184
Variance18.39902
MonotonicityNot monotonic
2024-03-30T08:51:13.705764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 201
66.6%
1 33
 
10.9%
2 12
 
4.0%
3 5
 
1.7%
62 1
 
0.3%
19 1
 
0.3%
4 1
 
0.3%
6 1
 
0.3%
21 1
 
0.3%
(Missing) 46
 
15.2%
ValueCountFrequency (%)
0 201
66.6%
1 33
 
10.9%
2 12
 
4.0%
3 5
 
1.7%
4 1
 
0.3%
6 1
 
0.3%
19 1
 
0.3%
21 1
 
0.3%
62 1
 
0.3%
ValueCountFrequency (%)
62 1
 
0.3%
21 1
 
0.3%
19 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
3 5
 
1.7%
2 12
 
4.0%
1 33
 
10.9%
0 201
66.6%

2011-05
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.3%
Missing46
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean1.1132812
Minimum0
Maximum89
Zeros203
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:14.204605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum89
Range89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.513851
Coefficient of variation (CV)5.8510381
Kurtosis133.27609
Mean1.1132812
Median Absolute Deviation (MAD)0
Skewness10.613345
Sum285
Variance42.430254
MonotonicityNot monotonic
2024-03-30T08:51:14.747812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 203
67.2%
1 35
 
11.6%
2 8
 
2.6%
3 2
 
0.7%
23 2
 
0.7%
89 1
 
0.3%
21 1
 
0.3%
4 1
 
0.3%
28 1
 
0.3%
16 1
 
0.3%
(Missing) 46
 
15.2%
ValueCountFrequency (%)
0 203
67.2%
1 35
 
11.6%
2 8
 
2.6%
3 2
 
0.7%
4 1
 
0.3%
16 1
 
0.3%
21 1
 
0.3%
23 2
 
0.7%
24 1
 
0.3%
28 1
 
0.3%
ValueCountFrequency (%)
89 1
 
0.3%
28 1
 
0.3%
24 1
 
0.3%
23 2
 
0.7%
21 1
 
0.3%
16 1
 
0.3%
4 1
 
0.3%
3 2
 
0.7%
2 8
 
2.6%
1 35
11.6%

2011-06
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.5%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean0.692607
Minimum0
Maximum59
Zeros202
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:15.172574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0517724
Coefficient of variation (CV)5.8500309
Kurtosis171.61725
Mean0.692607
Median Absolute Deviation (MAD)0
Skewness12.411634
Sum178
Variance16.416859
MonotonicityNot monotonic
2024-03-30T08:51:15.535488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 202
66.9%
1 33
 
10.9%
2 11
 
3.6%
3 5
 
1.7%
4 2
 
0.7%
59 1
 
0.3%
21 1
 
0.3%
5 1
 
0.3%
15 1
 
0.3%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 202
66.9%
1 33
 
10.9%
2 11
 
3.6%
3 5
 
1.7%
4 2
 
0.7%
5 1
 
0.3%
15 1
 
0.3%
21 1
 
0.3%
59 1
 
0.3%
ValueCountFrequency (%)
59 1
 
0.3%
21 1
 
0.3%
15 1
 
0.3%
5 1
 
0.3%
4 2
 
0.7%
3 5
 
1.7%
2 11
 
3.6%
1 33
 
10.9%
0 202
66.9%

2011-07
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.1%
Missing44
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean0.63953488
Minimum0
Maximum57
Zeros204
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:16.121069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8611488
Coefficient of variation (CV)6.0374326
Kurtosis180.07078
Mean0.63953488
Median Absolute Deviation (MAD)0
Skewness12.748254
Sum165
Variance14.90847
MonotonicityNot monotonic
2024-03-30T08:51:16.498938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 204
67.5%
1 35
 
11.6%
2 10
 
3.3%
3 4
 
1.3%
4 2
 
0.7%
57 1
 
0.3%
17 1
 
0.3%
16 1
 
0.3%
(Missing) 44
 
14.6%
ValueCountFrequency (%)
0 204
67.5%
1 35
 
11.6%
2 10
 
3.3%
3 4
 
1.3%
4 2
 
0.7%
16 1
 
0.3%
17 1
 
0.3%
57 1
 
0.3%
ValueCountFrequency (%)
57 1
 
0.3%
17 1
 
0.3%
16 1
 
0.3%
4 2
 
0.7%
3 4
 
1.3%
2 10
 
3.3%
1 35
 
11.6%
0 204
67.5%

2011-08
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.1%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.70881226
Minimum0
Maximum66
Zeros207
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:16.949234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4384118
Coefficient of variation (CV)6.2617593
Kurtosis183.55862
Mean0.70881226
Median Absolute Deviation (MAD)0
Skewness12.888502
Sum185
Variance19.699499
MonotonicityNot monotonic
2024-03-30T08:51:17.377246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 207
68.5%
1 31
 
10.3%
2 15
 
5.0%
19 2
 
0.7%
3 2
 
0.7%
5 2
 
0.7%
66 1
 
0.3%
4 1
 
0.3%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 207
68.5%
1 31
 
10.3%
2 15
 
5.0%
3 2
 
0.7%
4 1
 
0.3%
5 2
 
0.7%
19 2
 
0.7%
66 1
 
0.3%
ValueCountFrequency (%)
66 1
 
0.3%
19 2
 
0.7%
5 2
 
0.7%
4 1
 
0.3%
3 2
 
0.7%
2 15
 
5.0%
1 31
 
10.3%
0 207
68.5%

2011-09
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.1%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.52490421
Minimum0
Maximum46
Zeros210
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:17.758909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1323916
Coefficient of variation (CV)5.967549
Kurtosis174.52727
Mean0.52490421
Median Absolute Deviation (MAD)0
Skewness12.49519
Sum137
Variance9.8118774
MonotonicityNot monotonic
2024-03-30T08:51:18.265093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 210
69.5%
1 40
 
13.2%
2 4
 
1.3%
14 2
 
0.7%
3 2
 
0.7%
46 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 210
69.5%
1 40
 
13.2%
2 4
 
1.3%
3 2
 
0.7%
4 1
 
0.3%
5 1
 
0.3%
14 2
 
0.7%
46 1
 
0.3%
ValueCountFrequency (%)
46 1
 
0.3%
14 2
 
0.7%
5 1
 
0.3%
4 1
 
0.3%
3 2
 
0.7%
2 4
 
1.3%
1 40
 
13.2%
0 210
69.5%

2011-10
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.7%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.49425287
Minimum0
Maximum46
Zeros215
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:18.641978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1373932
Coefficient of variation (CV)6.347749
Kurtosis174.50938
Mean0.49425287
Median Absolute Deviation (MAD)0
Skewness12.545309
Sum129
Variance9.8432361
MonotonicityNot monotonic
2024-03-30T08:51:19.156244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 215
71.2%
1 35
 
11.6%
2 5
 
1.7%
3 3
 
1.0%
46 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 215
71.2%
1 35
 
11.6%
2 5
 
1.7%
3 3
 
1.0%
13 1
 
0.3%
16 1
 
0.3%
46 1
 
0.3%
ValueCountFrequency (%)
46 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
3 3
 
1.0%
2 5
 
1.7%
1 35
 
11.6%
0 215
71.2%

2011-11
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.7%
Missing41
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.53256705
Minimum0
Maximum47
Zeros208
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:19.661250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1689438
Coefficient of variation (CV)5.9503189
Kurtosis181.33215
Mean0.53256705
Median Absolute Deviation (MAD)0
Skewness12.78417
Sum139
Variance10.042205
MonotonicityNot monotonic
2024-03-30T08:51:20.082361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 208
68.9%
1 38
 
12.6%
2 11
 
3.6%
47 1
 
0.3%
15 1
 
0.3%
5 1
 
0.3%
12 1
 
0.3%
(Missing) 41
 
13.6%
ValueCountFrequency (%)
0 208
68.9%
1 38
 
12.6%
2 11
 
3.6%
5 1
 
0.3%
12 1
 
0.3%
15 1
 
0.3%
47 1
 
0.3%
ValueCountFrequency (%)
47 1
 
0.3%
15 1
 
0.3%
12 1
 
0.3%
5 1
 
0.3%
2 11
 
3.6%
1 38
 
12.6%
0 208
68.9%

2011-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.2%
Missing40
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean0.9389313
Minimum0
Maximum83
Zeros195
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:20.398863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.95
Maximum83
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.5047952
Coefficient of variation (CV)5.8628306
Kurtosis191.74439
Mean0.9389313
Median Absolute Deviation (MAD)0
Skewness13.149088
Sum246
Variance30.30277
MonotonicityNot monotonic
2024-03-30T08:51:21.064791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 195
64.6%
1 37
 
12.3%
2 16
 
5.3%
3 6
 
2.0%
4 2
 
0.7%
83 1
 
0.3%
21 1
 
0.3%
7 1
 
0.3%
18 1
 
0.3%
13 1
 
0.3%
(Missing) 40
 
13.2%
ValueCountFrequency (%)
0 195
64.6%
1 37
 
12.3%
2 16
 
5.3%
3 6
 
2.0%
4 2
 
0.7%
7 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
18 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
83 1
 
0.3%
21 1
 
0.3%
18 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
4 2
 
0.7%
3 6
 
2.0%
2 16
5.3%
1 37
12.3%

2012-01
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.8%
Missing39
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.63878327
Minimum0
Maximum57
Zeros228
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:21.451100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0534051
Coefficient of variation (CV)6.3455092
Kurtosis146.52002
Mean0.63878327
Median Absolute Deviation (MAD)0
Skewness11.232781
Sum168
Variance16.430093
MonotonicityNot monotonic
2024-03-30T08:51:21.905928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 228
75.5%
1 23
 
7.6%
2 4
 
1.3%
17 2
 
0.7%
57 1
 
0.3%
18 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
(Missing) 39
 
12.9%
ValueCountFrequency (%)
0 228
75.5%
1 23
 
7.6%
2 4
 
1.3%
4 1
 
0.3%
5 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
17 2
 
0.7%
18 1
 
0.3%
57 1
 
0.3%
ValueCountFrequency (%)
57 1
 
0.3%
18 1
 
0.3%
17 2
 
0.7%
10 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
2 4
 
1.3%
1 23
 
7.6%
0 228
75.5%

2012-02
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.4%
Missing39
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.50190114
Minimum0
Maximum46
Zeros218
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:22.571188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0974929
Coefficient of variation (CV)6.1715199
Kurtosis182.00741
Mean0.50190114
Median Absolute Deviation (MAD)0
Skewness12.828834
Sum132
Variance9.594462
MonotonicityNot monotonic
2024-03-30T08:51:23.129208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 218
72.2%
1 30
 
9.9%
2 7
 
2.3%
3 3
 
1.0%
46 1
 
0.3%
17 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
7 1
 
0.3%
(Missing) 39
 
12.9%
ValueCountFrequency (%)
0 218
72.2%
1 30
 
9.9%
2 7
 
2.3%
3 3
 
1.0%
4 1
 
0.3%
5 1
 
0.3%
7 1
 
0.3%
17 1
 
0.3%
46 1
 
0.3%
ValueCountFrequency (%)
46 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
3 3
 
1.0%
2 7
 
2.3%
1 30
 
9.9%
0 218
72.2%

2012-03
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.2%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean0.70075758
Minimum0
Maximum64
Zeros216
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:24.739257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2405609
Coefficient of variation (CV)6.051395
Kurtosis191.2883
Mean0.70075758
Median Absolute Deviation (MAD)0
Skewness13.098882
Sum185
Variance17.982357
MonotonicityNot monotonic
2024-03-30T08:51:25.387413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 216
71.5%
1 26
 
8.6%
2 9
 
3.0%
4 6
 
2.0%
64 1
 
0.3%
13 1
 
0.3%
17 1
 
0.3%
3 1
 
0.3%
5 1
 
0.3%
8 1
 
0.3%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 216
71.5%
1 26
 
8.6%
2 9
 
3.0%
3 1
 
0.3%
4 6
 
2.0%
5 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
13 1
 
0.3%
17 1
 
0.3%
ValueCountFrequency (%)
64 1
 
0.3%
17 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
4 6
 
2.0%
3 1
 
0.3%
2 9
 
3.0%
1 26
8.6%

2012-04
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.5%
Missing37
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean1.1811321
Minimum0
Maximum101
Zeros211
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:26.194387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum101
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.4037525
Coefficient of variation (CV)6.2683528
Kurtosis136.32851
Mean1.1811321
Median Absolute Deviation (MAD)0
Skewness11.026445
Sum313
Variance54.815552
MonotonicityNot monotonic
2024-03-30T08:51:26.593793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 211
69.9%
1 30
 
9.9%
2 9
 
3.0%
3 4
 
1.3%
4 3
 
1.0%
5 2
 
0.7%
101 1
 
0.3%
17 1
 
0.3%
55 1
 
0.3%
19 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 37
 
12.3%
ValueCountFrequency (%)
0 211
69.9%
1 30
 
9.9%
2 9
 
3.0%
3 4
 
1.3%
4 3
 
1.0%
5 2
 
0.7%
17 1
 
0.3%
18 1
 
0.3%
19 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
101 1
 
0.3%
55 1
 
0.3%
21 1
 
0.3%
19 1
 
0.3%
18 1
 
0.3%
17 1
 
0.3%
5 2
 
0.7%
4 3
 
1.0%
3 4
1.3%
2 9
3.0%

2012-05
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.7%
Missing29
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean0.64835165
Minimum0
Maximum59
Zeros221
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:27.183181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8550205
Coefficient of variation (CV)5.9458791
Kurtosis195.55386
Mean0.64835165
Median Absolute Deviation (MAD)0
Skewness13.219169
Sum177
Variance14.861183
MonotonicityNot monotonic
2024-03-30T08:51:27.884561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 221
73.2%
1 32
 
10.6%
2 9
 
3.0%
5 3
 
1.0%
6 3
 
1.0%
59 1
 
0.3%
12 1
 
0.3%
3 1
 
0.3%
16 1
 
0.3%
4 1
 
0.3%
(Missing) 29
 
9.6%
ValueCountFrequency (%)
0 221
73.2%
1 32
 
10.6%
2 9
 
3.0%
3 1
 
0.3%
4 1
 
0.3%
5 3
 
1.0%
6 3
 
1.0%
12 1
 
0.3%
16 1
 
0.3%
59 1
 
0.3%
ValueCountFrequency (%)
59 1
 
0.3%
16 1
 
0.3%
12 1
 
0.3%
6 3
 
1.0%
5 3
 
1.0%
4 1
 
0.3%
3 1
 
0.3%
2 9
 
3.0%
1 32
 
10.6%
0 221
73.2%

2012-06
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean0.59854015
Minimum0
Maximum58
Zeros229
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:28.460208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8382304
Coefficient of variation (CV)6.4126532
Kurtosis186.85047
Mean0.59854015
Median Absolute Deviation (MAD)0
Skewness12.944313
Sum164
Variance14.732013
MonotonicityNot monotonic
2024-03-30T08:51:28.886627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 229
75.8%
1 25
 
8.3%
2 9
 
3.0%
3 6
 
2.0%
58 1
 
0.3%
16 1
 
0.3%
5 1
 
0.3%
18 1
 
0.3%
6 1
 
0.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 229
75.8%
1 25
 
8.3%
2 9
 
3.0%
3 6
 
2.0%
5 1
 
0.3%
6 1
 
0.3%
16 1
 
0.3%
18 1
 
0.3%
58 1
 
0.3%
ValueCountFrequency (%)
58 1
 
0.3%
18 1
 
0.3%
16 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
3 6
 
2.0%
2 9
 
3.0%
1 25
 
8.3%
0 229
75.8%

2012-07
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean0.65454545
Minimum0
Maximum63
Zeros227
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:29.243792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum63
Range63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1054449
Coefficient of variation (CV)6.2722075
Kurtosis196.66787
Mean0.65454545
Median Absolute Deviation (MAD)0
Skewness13.262091
Sum180
Variance16.854678
MonotonicityNot monotonic
2024-03-30T08:51:29.877433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 227
75.2%
1 29
 
9.6%
2 8
 
2.6%
3 2
 
0.7%
4 2
 
0.7%
9 2
 
0.7%
63 1
 
0.3%
12 1
 
0.3%
6 1
 
0.3%
17 1
 
0.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 227
75.2%
1 29
 
9.6%
2 8
 
2.6%
3 2
 
0.7%
4 2
 
0.7%
5 1
 
0.3%
6 1
 
0.3%
9 2
 
0.7%
12 1
 
0.3%
17 1
 
0.3%
ValueCountFrequency (%)
63 1
 
0.3%
17 1
 
0.3%
12 1
 
0.3%
9 2
 
0.7%
6 1
 
0.3%
5 1
 
0.3%
4 2
 
0.7%
3 2
 
0.7%
2 8
 
2.6%
1 29
9.6%

2012-08
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean0.65454545
Minimum0
Maximum62
Zeros229
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:30.433136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0992174
Coefficient of variation (CV)6.2626932
Kurtosis186.98373
Mean0.65454545
Median Absolute Deviation (MAD)0
Skewness12.931806
Sum180
Variance16.803583
MonotonicityNot monotonic
2024-03-30T08:51:30.979468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 229
75.8%
1 27
 
8.9%
2 6
 
2.0%
3 3
 
1.0%
4 2
 
0.7%
7 2
 
0.7%
5 2
 
0.7%
62 1
 
0.3%
22 1
 
0.3%
6 1
 
0.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 229
75.8%
1 27
 
8.9%
2 6
 
2.0%
3 3
 
1.0%
4 2
 
0.7%
5 2
 
0.7%
6 1
 
0.3%
7 2
 
0.7%
10 1
 
0.3%
22 1
 
0.3%
ValueCountFrequency (%)
62 1
 
0.3%
22 1
 
0.3%
10 1
 
0.3%
7 2
 
0.7%
6 1
 
0.3%
5 2
 
0.7%
4 2
 
0.7%
3 3
 
1.0%
2 6
 
2.0%
1 27
8.9%

2012-09
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.3%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.0363636
Minimum0
Maximum98
Zeros235
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:31.456551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum98
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.7759775
Coefficient of variation (CV)7.5031362
Kurtosis110.21032
Mean1.0363636
Median Absolute Deviation (MAD)0
Skewness10.184001
Sum285
Variance60.465826
MonotonicityNot monotonic
2024-03-30T08:51:31.918103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 235
77.8%
1 27
 
8.9%
2 4
 
1.3%
3 3
 
1.0%
59 2
 
0.7%
98 1
 
0.3%
11 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 235
77.8%
1 27
 
8.9%
2 4
 
1.3%
3 3
 
1.0%
5 1
 
0.3%
9 1
 
0.3%
11 1
 
0.3%
59 2
 
0.7%
98 1
 
0.3%
ValueCountFrequency (%)
98 1
 
0.3%
59 2
 
0.7%
11 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
3 3
 
1.0%
2 4
 
1.3%
1 27
 
8.9%
0 235
77.8%

2012-10
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.5%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean0.56727273
Minimum0
Maximum53
Zeros217
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:32.574859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum53
Range53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4764618
Coefficient of variation (CV)6.1283781
Kurtosis192.55524
Mean0.56727273
Median Absolute Deviation (MAD)0
Skewness13.200241
Sum156
Variance12.085786
MonotonicityNot monotonic
2024-03-30T08:51:32.954033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 217
71.9%
1 40
 
13.2%
2 13
 
4.3%
3 2
 
0.7%
53 1
 
0.3%
16 1
 
0.3%
15 1
 
0.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 217
71.9%
1 40
 
13.2%
2 13
 
4.3%
3 2
 
0.7%
15 1
 
0.3%
16 1
 
0.3%
53 1
 
0.3%
ValueCountFrequency (%)
53 1
 
0.3%
16 1
 
0.3%
15 1
 
0.3%
3 2
 
0.7%
2 13
 
4.3%
1 40
 
13.2%
0 217
71.9%

2012-11
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.3%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean0.68363636
Minimum0
Maximum63
Zeros219
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:33.316664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.3
Maximum63
Range63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1378952
Coefficient of variation (CV)6.0527722
Kurtosis191.02867
Mean0.68363636
Median Absolute Deviation (MAD)0
Skewness13.080577
Sum188
Variance17.122177
MonotonicityNot monotonic
2024-03-30T08:51:33.668752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 219
72.5%
1 36
 
11.9%
3 8
 
2.6%
2 6
 
2.0%
5 2
 
0.7%
63 1
 
0.3%
13 1
 
0.3%
10 1
 
0.3%
20 1
 
0.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 219
72.5%
1 36
 
11.9%
2 6
 
2.0%
3 8
 
2.6%
5 2
 
0.7%
10 1
 
0.3%
13 1
 
0.3%
20 1
 
0.3%
63 1
 
0.3%
ValueCountFrequency (%)
63 1
 
0.3%
20 1
 
0.3%
13 1
 
0.3%
10 1
 
0.3%
5 2
 
0.7%
3 8
 
2.6%
2 6
 
2.0%
1 36
 
11.9%
0 219
72.5%

2012-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean0.87272727
Minimum0
Maximum81
Zeros210
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:34.012227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.3
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.3082175
Coefficient of variation (CV)6.0823326
Kurtosis193.37322
Mean0.87272727
Median Absolute Deviation (MAD)0
Skewness13.220079
Sum240
Variance28.177173
MonotonicityNot monotonic
2024-03-30T08:51:34.473162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 210
69.5%
1 37
 
12.3%
2 14
 
4.6%
3 6
 
2.0%
6 2
 
0.7%
81 1
 
0.3%
28 1
 
0.3%
5 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 210
69.5%
1 37
 
12.3%
2 14
 
4.6%
3 6
 
2.0%
5 1
 
0.3%
6 2
 
0.7%
8 1
 
0.3%
9 1
 
0.3%
14 1
 
0.3%
28 1
 
0.3%
ValueCountFrequency (%)
81 1
 
0.3%
28 1
 
0.3%
14 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
6 2
 
0.7%
5 1
 
0.3%
3 6
 
2.0%
2 14
 
4.6%
1 37
12.3%

2013-01
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.5%
Missing26
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.39130435
Minimum0
Maximum39
Zeros250
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:34.794033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6613319
Coefficient of variation (CV)6.8011816
Kurtosis165.01864
Mean0.39130435
Median Absolute Deviation (MAD)0
Skewness11.987324
Sum108
Variance7.0826877
MonotonicityNot monotonic
2024-03-30T08:51:35.075999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 250
82.8%
1 16
 
5.3%
2 4
 
1.3%
8 3
 
1.0%
39 1
 
0.3%
14 1
 
0.3%
7 1
 
0.3%
(Missing) 26
 
8.6%
ValueCountFrequency (%)
0 250
82.8%
1 16
 
5.3%
2 4
 
1.3%
7 1
 
0.3%
8 3
 
1.0%
14 1
 
0.3%
39 1
 
0.3%
ValueCountFrequency (%)
39 1
 
0.3%
14 1
 
0.3%
8 3
 
1.0%
7 1
 
0.3%
2 4
 
1.3%
1 16
 
5.3%
0 250
82.8%

2013-02
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.2779783
Minimum0
Maximum101
Zeros241
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:35.334835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum101
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.7766828
Coefficient of variation (CV)6.0851445
Kurtosis103.81365
Mean1.2779783
Median Absolute Deviation (MAD)0
Skewness9.274367
Sum354
Variance60.476796
MonotonicityNot monotonic
2024-03-30T08:51:35.675842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 241
79.8%
1 19
 
6.3%
2 6
 
2.0%
33 3
 
1.0%
4 2
 
0.7%
32 2
 
0.7%
101 1
 
0.3%
10 1
 
0.3%
3 1
 
0.3%
38 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 241
79.8%
1 19
 
6.3%
2 6
 
2.0%
3 1
 
0.3%
4 2
 
0.7%
10 1
 
0.3%
32 2
 
0.7%
33 3
 
1.0%
38 1
 
0.3%
101 1
 
0.3%
ValueCountFrequency (%)
101 1
 
0.3%
38 1
 
0.3%
33 3
 
1.0%
32 2
 
0.7%
10 1
 
0.3%
4 2
 
0.7%
3 1
 
0.3%
2 6
 
2.0%
1 19
 
6.3%
0 241
79.8%

2013-03
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)2.9%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean0.49097473
Minimum0
Maximum48
Zeros228
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:36.060999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.2
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1063443
Coefficient of variation (CV)6.3268924
Kurtosis201.25532
Mean0.49097473
Median Absolute Deviation (MAD)0
Skewness13.494728
Sum136
Variance9.6493748
MonotonicityNot monotonic
2024-03-30T08:51:36.422866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 228
75.5%
1 35
 
11.6%
2 7
 
2.3%
3 2
 
0.7%
4 2
 
0.7%
48 1
 
0.3%
12 1
 
0.3%
13 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 228
75.5%
1 35
 
11.6%
2 7
 
2.3%
3 2
 
0.7%
4 2
 
0.7%
12 1
 
0.3%
13 1
 
0.3%
48 1
 
0.3%
ValueCountFrequency (%)
48 1
 
0.3%
13 1
 
0.3%
12 1
 
0.3%
4 2
 
0.7%
3 2
 
0.7%
2 7
 
2.3%
1 35
 
11.6%
0 228
75.5%

2013-04
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)2.9%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean0.64981949
Minimum0
Maximum62
Zeros217
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:36.760264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0660456
Coefficient of variation (CV)6.2571923
Kurtosis191.65114
Mean0.64981949
Median Absolute Deviation (MAD)0
Skewness13.160838
Sum180
Variance16.532726
MonotonicityNot monotonic
2024-03-30T08:51:37.142068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 217
71.9%
1 42
 
13.9%
2 8
 
2.6%
3 5
 
1.7%
4 2
 
0.7%
62 1
 
0.3%
18 1
 
0.3%
19 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 217
71.9%
1 42
 
13.9%
2 8
 
2.6%
3 5
 
1.7%
4 2
 
0.7%
18 1
 
0.3%
19 1
 
0.3%
62 1
 
0.3%
ValueCountFrequency (%)
62 1
 
0.3%
19 1
 
0.3%
18 1
 
0.3%
4 2
 
0.7%
3 5
 
1.7%
2 8
 
2.6%
1 42
 
13.9%
0 217
71.9%

2013-05
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean0.79422383
Minimum0
Maximum74
Zeros208
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:37.482119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum74
Range74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8249318
Coefficient of variation (CV)6.0750277
Kurtosis195.66163
Mean0.79422383
Median Absolute Deviation (MAD)0
Skewness13.305689
Sum220
Variance23.279967
MonotonicityNot monotonic
2024-03-30T08:51:37.879802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 208
68.9%
1 45
 
14.9%
2 13
 
4.3%
3 4
 
1.3%
74 1
 
0.3%
24 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 208
68.9%
1 45
 
14.9%
2 13
 
4.3%
3 4
 
1.3%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
17 1
 
0.3%
24 1
 
0.3%
ValueCountFrequency (%)
74 1
 
0.3%
24 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
3 4
 
1.3%
2 13
 
4.3%
1 45
14.9%

2013-06
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.0974729
Minimum0
Maximum102
Zeros200
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:38.285961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum102
Range102
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.7034407
Coefficient of variation (CV)6.1080693
Kurtosis190.04011
Mean1.0974729
Median Absolute Deviation (MAD)0
Skewness13.099307
Sum304
Variance44.936117
MonotonicityNot monotonic
2024-03-30T08:51:38.718192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 200
66.2%
1 42
 
13.9%
2 19
 
6.3%
3 5
 
1.7%
5 3
 
1.0%
4 2
 
0.7%
8 2
 
0.7%
102 1
 
0.3%
34 1
 
0.3%
27 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 200
66.2%
1 42
 
13.9%
2 19
 
6.3%
3 5
 
1.7%
4 2
 
0.7%
5 3
 
1.0%
7 1
 
0.3%
8 2
 
0.7%
27 1
 
0.3%
34 1
 
0.3%
ValueCountFrequency (%)
102 1
 
0.3%
34 1
 
0.3%
27 1
 
0.3%
8 2
 
0.7%
7 1
 
0.3%
5 3
 
1.0%
4 2
 
0.7%
3 5
 
1.7%
2 19
6.3%
1 42
13.9%

2013-07
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean0.58273381
Minimum0
Maximum55
Zeros233
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:39.133255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5655781
Coefficient of variation (CV)6.1187081
Kurtosis198.24009
Mean0.58273381
Median Absolute Deviation (MAD)0
Skewness13.284288
Sum162
Variance12.713347
MonotonicityNot monotonic
2024-03-30T08:51:39.530878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 233
77.2%
1 24
 
7.9%
2 11
 
3.6%
4 3
 
1.0%
55 1
 
0.3%
14 1
 
0.3%
3 1
 
0.3%
10 1
 
0.3%
5 1
 
0.3%
9 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 233
77.2%
1 24
 
7.9%
2 11
 
3.6%
3 1
 
0.3%
4 3
 
1.0%
5 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
55 1
 
0.3%
14 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
5 1
 
0.3%
4 3
 
1.0%
3 1
 
0.3%
2 11
3.6%
1 24
7.9%

2013-08
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean0.45683453
Minimum0
Maximum46
Zeros239
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:40.176788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9999892
Coefficient of variation (CV)6.5669054
Kurtosis194.52524
Mean0.45683453
Median Absolute Deviation (MAD)0
Skewness13.174997
Sum127
Variance8.9999351
MonotonicityNot monotonic
2024-03-30T08:51:40.598836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 239
79.1%
1 28
 
9.3%
3 4
 
1.3%
2 2
 
0.7%
46 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 239
79.1%
1 28
 
9.3%
2 2
 
0.7%
3 4
 
1.3%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
46 1
 
0.3%
ValueCountFrequency (%)
46 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
3 4
 
1.3%
2 2
 
0.7%
1 28
 
9.3%
0 239
79.1%

2013-09
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean0.61151079
Minimum0
Maximum57
Zeros227
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:40.902729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6970293
Coefficient of variation (CV)6.0457303
Kurtosis197.66215
Mean0.61151079
Median Absolute Deviation (MAD)0
Skewness13.251822
Sum170
Variance13.668026
MonotonicityNot monotonic
2024-03-30T08:51:41.282209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 227
75.2%
1 35
 
11.6%
2 6
 
2.0%
7 3
 
1.0%
3 2
 
0.7%
57 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 227
75.2%
1 35
 
11.6%
2 6
 
2.0%
3 2
 
0.7%
6 1
 
0.3%
7 3
 
1.0%
8 1
 
0.3%
11 1
 
0.3%
14 1
 
0.3%
57 1
 
0.3%
ValueCountFrequency (%)
57 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
8 1
 
0.3%
7 3
 
1.0%
6 1
 
0.3%
3 2
 
0.7%
2 6
 
2.0%
1 35
 
11.6%
0 227
75.2%

2013-10
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean0.92446043
Minimum0
Maximum82
Zeros205
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:41.684440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.15
Maximum82
Range82
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.3205594
Coefficient of variation (CV)5.7553133
Kurtosis197.22642
Mean0.92446043
Median Absolute Deviation (MAD)0
Skewness13.26699
Sum257
Variance28.308353
MonotonicityNot monotonic
2024-03-30T08:51:42.149778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 205
67.9%
1 46
 
15.2%
2 13
 
4.3%
3 4
 
1.3%
4 2
 
0.7%
82 1
 
0.3%
19 1
 
0.3%
6 1
 
0.3%
21 1
 
0.3%
9 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 205
67.9%
1 46
 
15.2%
2 13
 
4.3%
3 4
 
1.3%
4 2
 
0.7%
6 1
 
0.3%
7 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
ValueCountFrequency (%)
82 1
 
0.3%
21 1
 
0.3%
19 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
4 2
0.7%
3 4
1.3%

2013-11
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean0.68345324
Minimum0
Maximum64
Zeros221
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:42.634700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.194781
Coefficient of variation (CV)6.1376269
Kurtosis190.70928
Mean0.68345324
Median Absolute Deviation (MAD)0
Skewness13.058632
Sum190
Variance17.596187
MonotonicityNot monotonic
2024-03-30T08:51:43.174464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 221
73.2%
1 37
 
12.3%
2 10
 
3.3%
3 3
 
1.0%
64 1
 
0.3%
19 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
17 1
 
0.3%
8 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 221
73.2%
1 37
 
12.3%
2 10
 
3.3%
3 3
 
1.0%
4 1
 
0.3%
5 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
17 1
 
0.3%
19 1
 
0.3%
ValueCountFrequency (%)
64 1
 
0.3%
19 1
 
0.3%
17 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
3 3
 
1.0%
2 10
 
3.3%
1 37
12.3%

2013-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.3848921
Minimum0
Maximum128
Zeros221
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:43.555629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum128
Range128
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.43452
Coefficient of variation (CV)6.8124586
Kurtosis134.34595
Mean1.3848921
Median Absolute Deviation (MAD)0
Skewness11.067109
Sum385
Variance89.010168
MonotonicityNot monotonic
2024-03-30T08:51:43.992403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 221
73.2%
1 29
 
9.6%
2 12
 
4.0%
3 7
 
2.3%
6 3
 
1.0%
128 1
 
0.3%
79 1
 
0.3%
35 1
 
0.3%
25 1
 
0.3%
5 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 221
73.2%
1 29
 
9.6%
2 12
 
4.0%
3 7
 
2.3%
5 1
 
0.3%
6 3
 
1.0%
21 1
 
0.3%
25 1
 
0.3%
35 1
 
0.3%
79 1
 
0.3%
ValueCountFrequency (%)
128 1
 
0.3%
79 1
 
0.3%
35 1
 
0.3%
25 1
 
0.3%
21 1
 
0.3%
6 3
 
1.0%
5 1
 
0.3%
3 7
 
2.3%
2 12
4.0%
1 29
9.6%

2014-01
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.7%
Missing131
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean1.0584795
Minimum0
Maximum63
Zeros122
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:44.456393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.5
Maximum63
Range63
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.4865693
Coefficient of variation (CV)5.1834439
Kurtosis100.41732
Mean1.0584795
Median Absolute Deviation (MAD)0
Skewness9.5038143
Sum181
Variance30.102442
MonotonicityNot monotonic
2024-03-30T08:51:44.902010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 122
40.4%
1 35
 
11.6%
2 5
 
1.7%
3 4
 
1.3%
14 2
 
0.7%
63 1
 
0.3%
29 1
 
0.3%
4 1
 
0.3%
(Missing) 131
43.4%
ValueCountFrequency (%)
0 122
40.4%
1 35
 
11.6%
2 5
 
1.7%
3 4
 
1.3%
4 1
 
0.3%
14 2
 
0.7%
29 1
 
0.3%
63 1
 
0.3%
ValueCountFrequency (%)
63 1
 
0.3%
29 1
 
0.3%
14 2
 
0.7%
4 1
 
0.3%
3 4
 
1.3%
2 5
 
1.7%
1 35
 
11.6%
0 122
40.4%

2014-02
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)4.5%
Missing102
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean1.06
Minimum0
Maximum72
Zeros139
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:45.347064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum72
Range72
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.5669881
Coefficient of variation (CV)5.2518756
Kurtosis136.23338
Mean1.06
Median Absolute Deviation (MAD)0
Skewness11.11867
Sum212
Variance30.991357
MonotonicityNot monotonic
2024-03-30T08:51:45.756127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 139
46.0%
1 32
 
10.6%
2 18
 
6.0%
3 6
 
2.0%
72 1
 
0.3%
27 1
 
0.3%
16 1
 
0.3%
7 1
 
0.3%
4 1
 
0.3%
(Missing) 102
33.8%
ValueCountFrequency (%)
0 139
46.0%
1 32
 
10.6%
2 18
 
6.0%
3 6
 
2.0%
4 1
 
0.3%
7 1
 
0.3%
16 1
 
0.3%
27 1
 
0.3%
72 1
 
0.3%
ValueCountFrequency (%)
72 1
 
0.3%
27 1
 
0.3%
16 1
 
0.3%
7 1
 
0.3%
4 1
 
0.3%
3 6
 
2.0%
2 18
 
6.0%
1 32
 
10.6%
0 139
46.0%

2014-03
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)5.1%
Missing85
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean1.1013825
Minimum0
Maximum82
Zeros154
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:46.215374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum82
Range82
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.0536833
Coefficient of variation (CV)5.4964405
Kurtosis150.61407
Mean1.1013825
Median Absolute Deviation (MAD)0
Skewness11.644073
Sum239
Variance36.647081
MonotonicityNot monotonic
2024-03-30T08:51:46.557574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 154
51.0%
1 39
 
12.9%
2 11
 
3.6%
3 3
 
1.0%
7 2
 
0.7%
6 2
 
0.7%
5 2
 
0.7%
82 1
 
0.3%
25 1
 
0.3%
22 1
 
0.3%
(Missing) 85
28.1%
ValueCountFrequency (%)
0 154
51.0%
1 39
 
12.9%
2 11
 
3.6%
3 3
 
1.0%
4 1
 
0.3%
5 2
 
0.7%
6 2
 
0.7%
7 2
 
0.7%
22 1
 
0.3%
25 1
 
0.3%
ValueCountFrequency (%)
82 1
 
0.3%
25 1
 
0.3%
22 1
 
0.3%
7 2
 
0.7%
6 2
 
0.7%
5 2
 
0.7%
4 1
 
0.3%
3 3
 
1.0%
2 11
 
3.6%
1 39
12.9%

2014-04
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)5.7%
Missing73
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean1.2620087
Minimum0
Maximum98
Zeros162
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:47.015085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum98
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.023232
Coefficient of variation (CV)5.5651215
Kurtosis160.92507
Mean1.2620087
Median Absolute Deviation (MAD)0
Skewness12.036109
Sum289
Variance49.325787
MonotonicityNot monotonic
2024-03-30T08:51:47.407782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 162
53.6%
1 38
 
12.6%
2 13
 
4.3%
4 3
 
1.0%
7 3
 
1.0%
5 2
 
0.7%
3 2
 
0.7%
98 1
 
0.3%
32 1
 
0.3%
8 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 73
24.2%
ValueCountFrequency (%)
0 162
53.6%
1 38
 
12.6%
2 13
 
4.3%
3 2
 
0.7%
4 3
 
1.0%
5 2
 
0.7%
6 1
 
0.3%
7 3
 
1.0%
8 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
98 1
 
0.3%
32 1
 
0.3%
19 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
7 3
1.0%
6 1
 
0.3%
5 2
0.7%
4 3
1.0%
3 2
0.7%

2014-05
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)5.1%
Missing68
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean1.1367521
Minimum0
Maximum88
Zeros162
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:47.962705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.35
Maximum88
Range88
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.2397122
Coefficient of variation (CV)5.4890701
Kurtosis164.078
Mean1.1367521
Median Absolute Deviation (MAD)0
Skewness12.140901
Sum266
Variance38.934008
MonotonicityNot monotonic
2024-03-30T08:51:48.347236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 162
53.6%
1 46
 
15.2%
2 10
 
3.3%
4 5
 
1.7%
3 4
 
1.3%
88 1
 
0.3%
27 1
 
0.3%
9 1
 
0.3%
20 1
 
0.3%
12 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 68
22.5%
ValueCountFrequency (%)
0 162
53.6%
1 46
 
15.2%
2 10
 
3.3%
3 4
 
1.3%
4 5
 
1.7%
5 1
 
0.3%
7 1
 
0.3%
9 1
 
0.3%
12 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
88 1
 
0.3%
27 1
 
0.3%
20 1
 
0.3%
12 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
4 5
1.7%
3 4
 
1.3%
2 10
3.3%

2014-06
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.9%
Missing59
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean1.4979424
Minimum0
Maximum122
Zeros176
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:48.782401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum122
Range122
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.3430376
Coefficient of variation (CV)6.2372476
Kurtosis124.79493
Mean1.4979424
Median Absolute Deviation (MAD)0
Skewness10.625311
Sum364
Variance87.292351
MonotonicityNot monotonic
2024-03-30T08:51:49.304577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 176
58.3%
1 41
 
13.6%
2 11
 
3.6%
3 4
 
1.3%
4 2
 
0.7%
6 2
 
0.7%
5 2
 
0.7%
122 1
 
0.3%
65 1
 
0.3%
42 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 59
 
19.5%
ValueCountFrequency (%)
0 176
58.3%
1 41
 
13.6%
2 11
 
3.6%
3 4
 
1.3%
4 2
 
0.7%
5 2
 
0.7%
6 2
 
0.7%
9 1
 
0.3%
21 1
 
0.3%
42 1
 
0.3%
ValueCountFrequency (%)
122 1
 
0.3%
65 1
 
0.3%
42 1
 
0.3%
21 1
 
0.3%
9 1
 
0.3%
6 2
 
0.7%
5 2
 
0.7%
4 2
 
0.7%
3 4
 
1.3%
2 11
3.6%

2014-07
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)5.3%
Missing56
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.2723577
Minimum0
Maximum101
Zeros173
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:49.814825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum101
Range101
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.0371469
Coefficient of variation (CV)5.5307928
Kurtosis167.2783
Mean1.2723577
Median Absolute Deviation (MAD)0
Skewness12.184883
Sum313
Variance49.521437
MonotonicityNot monotonic
2024-03-30T08:51:50.182295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 173
57.3%
1 40
 
13.2%
2 17
 
5.6%
5 5
 
1.7%
3 2
 
0.7%
4 2
 
0.7%
101 1
 
0.3%
27 1
 
0.3%
6 1
 
0.3%
26 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 56
 
18.5%
ValueCountFrequency (%)
0 173
57.3%
1 40
 
13.2%
2 17
 
5.6%
3 2
 
0.7%
4 2
 
0.7%
5 5
 
1.7%
6 1
 
0.3%
7 1
 
0.3%
14 1
 
0.3%
19 1
 
0.3%
ValueCountFrequency (%)
101 1
 
0.3%
27 1
 
0.3%
26 1
 
0.3%
19 1
 
0.3%
14 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 5
1.7%
4 2
 
0.7%
3 2
 
0.7%

2014-08
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.4%
Missing52
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.976
Minimum0
Maximum82
Zeros183
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:50.524186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum82
Range82
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.5946963
Coefficient of variation (CV)5.7322708
Kurtosis179.27075
Mean0.976
Median Absolute Deviation (MAD)0
Skewness12.695314
Sum244
Variance31.300627
MonotonicityNot monotonic
2024-03-30T08:51:50.857497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 183
60.6%
1 39
 
12.9%
2 16
 
5.3%
4 5
 
1.7%
82 1
 
0.3%
21 1
 
0.3%
3 1
 
0.3%
20 1
 
0.3%
5 1
 
0.3%
13 1
 
0.3%
(Missing) 52
 
17.2%
ValueCountFrequency (%)
0 183
60.6%
1 39
 
12.9%
2 16
 
5.3%
3 1
 
0.3%
4 5
 
1.7%
5 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
20 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
82 1
 
0.3%
21 1
 
0.3%
20 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
4 5
 
1.7%
3 1
 
0.3%
2 16
5.3%
1 39
12.9%

2014-09
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.9%
Missing47
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean1.0823529
Minimum0
Maximum93
Zeros185
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:51.217986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.3949016
Coefficient of variation (CV)5.908333
Kurtosis172.09933
Mean1.0823529
Median Absolute Deviation (MAD)0
Skewness12.449795
Sum276
Variance40.894766
MonotonicityNot monotonic
2024-03-30T08:51:51.571609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 185
61.3%
1 43
 
14.2%
2 11
 
3.6%
3 5
 
1.7%
5 5
 
1.7%
7 2
 
0.7%
93 1
 
0.3%
33 1
 
0.3%
8 1
 
0.3%
23 1
 
0.3%
(Missing) 47
 
15.6%
ValueCountFrequency (%)
0 185
61.3%
1 43
 
14.2%
2 11
 
3.6%
3 5
 
1.7%
5 5
 
1.7%
7 2
 
0.7%
8 1
 
0.3%
23 1
 
0.3%
33 1
 
0.3%
93 1
 
0.3%
ValueCountFrequency (%)
93 1
 
0.3%
33 1
 
0.3%
23 1
 
0.3%
8 1
 
0.3%
7 2
 
0.7%
5 5
 
1.7%
3 5
 
1.7%
2 11
 
3.6%
1 43
 
14.2%
0 185
61.3%

2014-10
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)5.1%
Missing45
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean1.4669261
Minimum0
Maximum127
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:51.922177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum127
Range127
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.8198039
Coefficient of variation (CV)6.0124393
Kurtosis163.36162
Mean1.4669261
Median Absolute Deviation (MAD)0
Skewness11.977777
Sum377
Variance77.788941
MonotonicityNot monotonic
2024-03-30T08:51:52.263065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 187
61.9%
1 39
 
12.9%
2 13
 
4.3%
3 7
 
2.3%
6 3
 
1.0%
127 1
 
0.3%
30 1
 
0.3%
4 1
 
0.3%
29 1
 
0.3%
5 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 45
 
14.9%
ValueCountFrequency (%)
0 187
61.9%
1 39
 
12.9%
2 13
 
4.3%
3 7
 
2.3%
4 1
 
0.3%
5 1
 
0.3%
6 3
 
1.0%
17 1
 
0.3%
22 1
 
0.3%
29 1
 
0.3%
ValueCountFrequency (%)
127 1
 
0.3%
39 1
 
0.3%
30 1
 
0.3%
29 1
 
0.3%
22 1
 
0.3%
17 1
 
0.3%
6 3
1.0%
5 1
 
0.3%
4 1
 
0.3%
3 7
2.3%

2014-11
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.2%
Missing39
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean1.095057
Minimum0
Maximum94
Zeros185
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:52.666245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum94
Range94
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.3247435
Coefficient of variation (CV)5.7757206
Kurtosis180.79316
Mean1.095057
Median Absolute Deviation (MAD)0
Skewness12.717873
Sum288
Variance40.00238
MonotonicityNot monotonic
2024-03-30T08:51:53.003016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 185
61.3%
1 49
 
16.2%
2 12
 
4.0%
3 8
 
2.6%
5 3
 
1.0%
94 1
 
0.3%
27 1
 
0.3%
25 1
 
0.3%
4 1
 
0.3%
15 1
 
0.3%
(Missing) 39
 
12.9%
ValueCountFrequency (%)
0 185
61.3%
1 49
 
16.2%
2 12
 
4.0%
3 8
 
2.6%
4 1
 
0.3%
5 3
 
1.0%
11 1
 
0.3%
15 1
 
0.3%
25 1
 
0.3%
27 1
 
0.3%
ValueCountFrequency (%)
94 1
 
0.3%
27 1
 
0.3%
25 1
 
0.3%
15 1
 
0.3%
11 1
 
0.3%
5 3
 
1.0%
4 1
 
0.3%
3 8
 
2.6%
2 12
 
4.0%
1 49
16.2%

2014-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.2%
Missing38
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean1.2424242
Minimum0
Maximum110
Zeros189
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:53.383056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum110
Range110
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6108999
Coefficient of variation (CV)6.1258463
Kurtosis165.44604
Mean1.2424242
Median Absolute Deviation (MAD)0
Skewness12.228954
Sum328
Variance57.925798
MonotonicityNot monotonic
2024-03-30T08:51:53.819559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 189
62.6%
1 47
 
15.6%
2 12
 
4.0%
3 4
 
1.3%
7 3
 
1.0%
5 3
 
1.0%
12 2
 
0.7%
110 1
 
0.3%
49 1
 
0.3%
4 1
 
0.3%
(Missing) 38
 
12.6%
ValueCountFrequency (%)
0 189
62.6%
1 47
 
15.6%
2 12
 
4.0%
3 4
 
1.3%
4 1
 
0.3%
5 3
 
1.0%
7 3
 
1.0%
12 2
 
0.7%
22 1
 
0.3%
49 1
 
0.3%
ValueCountFrequency (%)
110 1
 
0.3%
49 1
 
0.3%
22 1
 
0.3%
12 2
 
0.7%
7 3
 
1.0%
5 3
 
1.0%
4 1
 
0.3%
3 4
 
1.3%
2 12
 
4.0%
1 47
15.6%

2015-01
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.5%
Missing36
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.0676692
Minimum0
Maximum97
Zeros201
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:54.212278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.75
Maximum97
Range97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.5969638
Coefficient of variation (CV)6.1788464
Kurtosis172.87337
Mean1.0676692
Median Absolute Deviation (MAD)0
Skewness12.422107
Sum284
Variance43.519932
MonotonicityNot monotonic
2024-03-30T08:51:54.804188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 201
66.6%
1 38
 
12.6%
2 13
 
4.3%
3 4
 
1.3%
6 3
 
1.0%
97 1
 
0.3%
26 1
 
0.3%
5 1
 
0.3%
34 1
 
0.3%
4 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 36
 
11.9%
ValueCountFrequency (%)
0 201
66.6%
1 38
 
12.6%
2 13
 
4.3%
3 4
 
1.3%
4 1
 
0.3%
5 1
 
0.3%
6 3
 
1.0%
8 1
 
0.3%
16 1
 
0.3%
26 1
 
0.3%
ValueCountFrequency (%)
97 1
 
0.3%
34 1
 
0.3%
26 1
 
0.3%
16 1
 
0.3%
8 1
 
0.3%
6 3
 
1.0%
5 1
 
0.3%
4 1
 
0.3%
3 4
 
1.3%
2 13
4.3%

2015-02
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.9%
Missing36
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.1842105
Minimum0
Maximum105
Zeros189
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:55.267984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.75
Maximum105
Range105
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.062517
Coefficient of variation (CV)5.9639032
Kurtosis178.97574
Mean1.1842105
Median Absolute Deviation (MAD)0
Skewness12.59112
Sum315
Variance49.879146
MonotonicityNot monotonic
2024-03-30T08:51:55.687137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 189
62.6%
1 53
 
17.5%
2 10
 
3.3%
3 3
 
1.0%
4 2
 
0.7%
5 2
 
0.7%
105 1
 
0.3%
23 1
 
0.3%
6 1
 
0.3%
21 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 36
 
11.9%
ValueCountFrequency (%)
0 189
62.6%
1 53
 
17.5%
2 10
 
3.3%
3 3
 
1.0%
4 2
 
0.7%
5 2
 
0.7%
6 1
 
0.3%
13 1
 
0.3%
17 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
105 1
 
0.3%
30 1
 
0.3%
23 1
 
0.3%
21 1
 
0.3%
17 1
 
0.3%
13 1
 
0.3%
6 1
 
0.3%
5 2
0.7%
4 2
0.7%
3 3
1.0%

2015-03
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.9%
Missing34
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean1.2686567
Minimum0
Maximum114
Zeros185
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:56.175542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum114
Range114
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6922688
Coefficient of variation (CV)6.0633177
Kurtosis177.97728
Mean1.2686567
Median Absolute Deviation (MAD)0
Skewness12.68788
Sum340
Variance59.170999
MonotonicityNot monotonic
2024-03-30T08:51:56.707770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 185
61.3%
1 51
 
16.9%
2 15
 
5.0%
3 5
 
1.7%
4 2
 
0.7%
6 2
 
0.7%
7 2
 
0.7%
114 1
 
0.3%
45 1
 
0.3%
5 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 34
 
11.3%
ValueCountFrequency (%)
0 185
61.3%
1 51
 
16.9%
2 15
 
5.0%
3 5
 
1.7%
4 2
 
0.7%
5 1
 
0.3%
6 2
 
0.7%
7 2
 
0.7%
9 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
114 1
 
0.3%
45 1
 
0.3%
24 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
7 2
 
0.7%
6 2
 
0.7%
5 1
 
0.3%
4 2
 
0.7%
3 5
1.7%

2015-04
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.5%
Missing33
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean1.3234201
Minimum0
Maximum116
Zeros183
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:57.226607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum116
Range116
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.7755027
Coefficient of variation (CV)5.8753096
Kurtosis180.91303
Mean1.3234201
Median Absolute Deviation (MAD)0
Skewness12.776501
Sum356
Variance60.458442
MonotonicityNot monotonic
2024-03-30T08:51:57.705962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 183
60.6%
1 46
 
15.2%
2 20
 
6.6%
4 6
 
2.0%
6 4
 
1.3%
3 4
 
1.3%
116 1
 
0.3%
41 1
 
0.3%
7 1
 
0.3%
31 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 33
 
10.9%
ValueCountFrequency (%)
0 183
60.6%
1 46
 
15.2%
2 20
 
6.6%
3 4
 
1.3%
4 6
 
2.0%
5 1
 
0.3%
6 4
 
1.3%
7 1
 
0.3%
10 1
 
0.3%
31 1
 
0.3%
ValueCountFrequency (%)
116 1
 
0.3%
41 1
 
0.3%
31 1
 
0.3%
10 1
 
0.3%
7 1
 
0.3%
6 4
 
1.3%
5 1
 
0.3%
4 6
 
2.0%
3 4
 
1.3%
2 20
6.6%

2015-05
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.4%
Missing31
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean1.4723247
Minimum0
Maximum132
Zeros185
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:58.180272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum132
Range132
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.2310953
Coefficient of variation (CV)6.2697414
Kurtosis157.33663
Mean1.4723247
Median Absolute Deviation (MAD)0
Skewness11.934149
Sum399
Variance85.21312
MonotonicityNot monotonic
2024-03-30T08:51:58.638676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 185
61.3%
1 54
 
17.9%
2 11
 
3.6%
3 8
 
2.6%
4 4
 
1.3%
6 2
 
0.7%
7 2
 
0.7%
132 1
 
0.3%
65 1
 
0.3%
29 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 31
 
10.3%
ValueCountFrequency (%)
0 185
61.3%
1 54
 
17.9%
2 11
 
3.6%
3 8
 
2.6%
4 4
 
1.3%
5 1
 
0.3%
6 2
 
0.7%
7 2
 
0.7%
26 1
 
0.3%
29 1
 
0.3%
ValueCountFrequency (%)
132 1
 
0.3%
65 1
 
0.3%
29 1
 
0.3%
26 1
 
0.3%
7 2
 
0.7%
6 2
 
0.7%
5 1
 
0.3%
4 4
 
1.3%
3 8
2.6%
2 11
3.6%

2015-06
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.7%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean1.3566176
Minimum0
Maximum123
Zeros183
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:51:58.995506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.45
Maximum123
Range123
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.2512233
Coefficient of variation (CV)6.0822026
Kurtosis179.52965
Mean1.3566176
Median Absolute Deviation (MAD)0
Skewness12.754657
Sum369
Variance68.082687
MonotonicityNot monotonic
2024-03-30T08:51:59.410774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 183
60.6%
1 48
 
15.9%
2 20
 
6.6%
3 7
 
2.3%
4 6
 
2.0%
5 3
 
1.0%
9 2
 
0.7%
123 1
 
0.3%
47 1
 
0.3%
33 1
 
0.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 183
60.6%
1 48
 
15.9%
2 20
 
6.6%
3 7
 
2.3%
4 6
 
2.0%
5 3
 
1.0%
9 2
 
0.7%
33 1
 
0.3%
47 1
 
0.3%
123 1
 
0.3%
ValueCountFrequency (%)
123 1
 
0.3%
47 1
 
0.3%
33 1
 
0.3%
9 2
 
0.7%
5 3
 
1.0%
4 6
 
2.0%
3 7
 
2.3%
2 20
 
6.6%
1 48
 
15.9%
0 183
60.6%

2015-07
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)5.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean2.0794224
Minimum0
Maximum186
Zeros181
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:00.355973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum186
Range186
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.762356
Coefficient of variation (CV)6.1374524
Kurtosis162.61041
Mean2.0794224
Median Absolute Deviation (MAD)0
Skewness12.010249
Sum576
Variance162.87773
MonotonicityNot monotonic
2024-03-30T08:52:00.956399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 181
59.9%
1 49
 
16.2%
2 21
 
7.0%
3 8
 
2.6%
4 6
 
2.0%
6 2
 
0.7%
43 1
 
0.3%
80 1
 
0.3%
5 1
 
0.3%
10 1
 
0.3%
Other values (6) 6
 
2.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 181
59.9%
1 49
 
16.2%
2 21
 
7.0%
3 8
 
2.6%
4 6
 
2.0%
5 1
 
0.3%
6 2
 
0.7%
8 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
186 1
0.3%
80 1
0.3%
43 1
0.3%
42 1
0.3%
24 1
0.3%
18 1
0.3%
10 1
0.3%
9 1
0.3%
8 1
0.3%
6 2
0.7%

2015-08
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.2527076
Minimum0
Maximum112
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:01.462973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum112
Range112
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.3623382
Coefficient of variation (CV)5.8771403
Kurtosis189.71721
Mean1.2527076
Median Absolute Deviation (MAD)0
Skewness13.098812
Sum347
Variance54.204023
MonotonicityNot monotonic
2024-03-30T08:52:02.039372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 187
61.9%
1 48
 
15.9%
2 21
 
7.0%
3 8
 
2.6%
4 5
 
1.7%
7 2
 
0.7%
112 1
 
0.3%
38 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 187
61.9%
1 48
 
15.9%
2 21
 
7.0%
3 8
 
2.6%
4 5
 
1.7%
5 1
 
0.3%
6 1
 
0.3%
7 2
 
0.7%
8 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
112 1
 
0.3%
38 1
 
0.3%
30 1
 
0.3%
8 1
 
0.3%
7 2
 
0.7%
6 1
 
0.3%
5 1
 
0.3%
4 5
 
1.7%
3 8
 
2.6%
2 21
7.0%

2015-09
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.0397112
Minimum0
Maximum94
Zeros196
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:02.705081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum94
Range94
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.0966144
Coefficient of variation (CV)5.8637576
Kurtosis198.93221
Mean1.0397112
Median Absolute Deviation (MAD)0
Skewness13.40226
Sum288
Variance37.168707
MonotonicityNot monotonic
2024-03-30T08:52:03.420386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 196
64.9%
1 50
 
16.6%
2 13
 
4.3%
3 8
 
2.6%
5 2
 
0.7%
94 1
 
0.3%
24 1
 
0.3%
4 1
 
0.3%
7 1
 
0.3%
26 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 196
64.9%
1 50
 
16.6%
2 13
 
4.3%
3 8
 
2.6%
4 1
 
0.3%
5 2
 
0.7%
6 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
94 1
 
0.3%
26 1
 
0.3%
24 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 1
 
0.3%
3 8
2.6%

2015-10
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.33213
Minimum0
Maximum118
Zeros177
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:03.862828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum118
Range118
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6786557
Coefficient of variation (CV)5.7641941
Kurtosis196.42074
Mean1.33213
Median Absolute Deviation (MAD)0
Skewness13.320725
Sum369
Variance58.961754
MonotonicityNot monotonic
2024-03-30T08:52:04.409390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 177
58.6%
1 60
 
19.9%
2 18
 
6.0%
3 10
 
3.3%
5 3
 
1.0%
4 3
 
1.0%
118 1
 
0.3%
30 1
 
0.3%
11 1
 
0.3%
13 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 177
58.6%
1 60
 
19.9%
2 18
 
6.0%
3 10
 
3.3%
4 3
 
1.0%
5 3
 
1.0%
9 1
 
0.3%
11 1
 
0.3%
13 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
118 1
 
0.3%
35 1
 
0.3%
30 1
 
0.3%
13 1
 
0.3%
11 1
 
0.3%
9 1
 
0.3%
5 3
 
1.0%
4 3
 
1.0%
3 10
3.3%
2 18
6.0%

2015-11
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.2924188
Minimum0
Maximum114
Zeros182
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:04.743515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum114
Range114
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.5347778
Coefficient of variation (CV)5.8299817
Kurtosis185.68964
Mean1.2924188
Median Absolute Deviation (MAD)0
Skewness12.935259
Sum358
Variance56.772877
MonotonicityNot monotonic
2024-03-30T08:52:05.176819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 182
60.3%
1 55
 
18.2%
2 22
 
7.3%
3 5
 
1.7%
5 3
 
1.0%
36 2
 
0.7%
8 2
 
0.7%
4 2
 
0.7%
6 2
 
0.7%
114 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 182
60.3%
1 55
 
18.2%
2 22
 
7.3%
3 5
 
1.7%
4 2
 
0.7%
5 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%
8 2
 
0.7%
36 2
 
0.7%
ValueCountFrequency (%)
114 1
 
0.3%
36 2
 
0.7%
8 2
 
0.7%
7 1
 
0.3%
6 2
 
0.7%
5 3
 
1.0%
4 2
 
0.7%
3 5
 
1.7%
2 22
 
7.3%
1 55
18.2%

2015-12
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.3718412
Minimum0
Maximum126
Zeros193
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:05.617760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum126
Range126
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.3268164
Coefficient of variation (CV)6.0698109
Kurtosis186.45162
Mean1.3718412
Median Absolute Deviation (MAD)0
Skewness12.985479
Sum380
Variance69.335871
MonotonicityNot monotonic
2024-03-30T08:52:05.990718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 193
63.9%
1 42
 
13.9%
2 15
 
5.0%
3 9
 
3.0%
4 7
 
2.3%
5 5
 
1.7%
126 1
 
0.3%
45 1
 
0.3%
9 1
 
0.3%
34 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 193
63.9%
1 42
 
13.9%
2 15
 
5.0%
3 9
 
3.0%
4 7
 
2.3%
5 5
 
1.7%
6 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
34 1
 
0.3%
ValueCountFrequency (%)
126 1
 
0.3%
45 1
 
0.3%
34 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 5
 
1.7%
4 7
2.3%
3 9
3.0%
2 15
5.0%

2016-01
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean0.87364621
Minimum0
Maximum78
Zeros200
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:06.562375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum78
Range78
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.1204965
Coefficient of variation (CV)5.8610641
Kurtosis189.83136
Mean0.87364621
Median Absolute Deviation (MAD)0
Skewness13.036628
Sum242
Variance26.219484
MonotonicityNot monotonic
2024-03-30T08:52:07.184087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 200
66.2%
1 52
 
17.2%
2 16
 
5.3%
3 2
 
0.7%
78 1
 
0.3%
23 1
 
0.3%
6 1
 
0.3%
21 1
 
0.3%
12 1
 
0.3%
8 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 200
66.2%
1 52
 
17.2%
2 16
 
5.3%
3 2
 
0.7%
4 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
12 1
 
0.3%
21 1
 
0.3%
23 1
 
0.3%
ValueCountFrequency (%)
78 1
 
0.3%
23 1
 
0.3%
21 1
 
0.3%
12 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
3 2
 
0.7%
2 16
 
5.3%
1 52
17.2%

2016-02
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean0.77978339
Minimum0
Maximum74
Zeros211
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:07.862280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum74
Range74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8220383
Coefficient of variation (CV)6.1838177
Kurtosis195.47925
Mean0.77978339
Median Absolute Deviation (MAD)0
Skewness13.242156
Sum216
Variance23.252054
MonotonicityNot monotonic
2024-03-30T08:52:08.355582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 211
69.9%
1 47
 
15.6%
2 10
 
3.3%
19 2
 
0.7%
3 2
 
0.7%
11 2
 
0.7%
74 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 211
69.9%
1 47
 
15.6%
2 10
 
3.3%
3 2
 
0.7%
4 1
 
0.3%
5 1
 
0.3%
11 2
 
0.7%
19 2
 
0.7%
74 1
 
0.3%
ValueCountFrequency (%)
74 1
 
0.3%
19 2
 
0.7%
11 2
 
0.7%
5 1
 
0.3%
4 1
 
0.3%
3 2
 
0.7%
2 10
 
3.3%
1 47
 
15.6%
0 211
69.9%

2016-03
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.1841155
Minimum0
Maximum107
Zeros186
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:08.904773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum107
Range107
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.9129185
Coefficient of variation (CV)5.838044
Kurtosis201.85147
Mean1.1841155
Median Absolute Deviation (MAD)0
Skewness13.515389
Sum328
Variance47.788442
MonotonicityNot monotonic
2024-03-30T08:52:09.428735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 186
61.6%
1 56
 
18.5%
2 17
 
5.6%
3 7
 
2.3%
12 2
 
0.7%
4 2
 
0.7%
6 2
 
0.7%
107 1
 
0.3%
24 1
 
0.3%
7 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 186
61.6%
1 56
 
18.5%
2 17
 
5.6%
3 7
 
2.3%
4 2
 
0.7%
5 1
 
0.3%
6 2
 
0.7%
7 1
 
0.3%
12 2
 
0.7%
24 1
 
0.3%
ValueCountFrequency (%)
107 1
 
0.3%
30 1
 
0.3%
24 1
 
0.3%
12 2
 
0.7%
7 1
 
0.3%
6 2
 
0.7%
5 1
 
0.3%
4 2
 
0.7%
3 7
2.3%
2 17
5.6%

2016-04
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.2779783
Minimum0
Maximum113
Zeros179
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:09.863083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum113
Range113
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.3700323
Coefficient of variation (CV)5.7669462
Kurtosis194.81235
Mean1.2779783
Median Absolute Deviation (MAD)0
Skewness13.264897
Sum354
Variance54.317376
MonotonicityNot monotonic
2024-03-30T08:52:10.387408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 179
59.3%
1 60
 
19.9%
2 18
 
6.0%
3 8
 
2.6%
5 3
 
1.0%
8 2
 
0.7%
4 2
 
0.7%
113 1
 
0.3%
30 1
 
0.3%
12 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 179
59.3%
1 60
 
19.9%
2 18
 
6.0%
3 8
 
2.6%
4 2
 
0.7%
5 3
 
1.0%
6 1
 
0.3%
8 2
 
0.7%
12 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
113 1
 
0.3%
34 1
 
0.3%
30 1
 
0.3%
12 1
 
0.3%
8 2
 
0.7%
6 1
 
0.3%
5 3
 
1.0%
4 2
 
0.7%
3 8
2.6%
2 18
6.0%

2016-05
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.234657
Minimum0
Maximum114
Zeros189
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:10.798956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum114
Range114
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.5185151
Coefficient of variation (CV)6.0895576
Kurtosis188.31501
Mean1.234657
Median Absolute Deviation (MAD)0
Skewness13.078287
Sum342
Variance56.52807
MonotonicityNot monotonic
2024-03-30T08:52:11.139482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 189
62.6%
1 50
 
16.6%
2 17
 
5.6%
3 11
 
3.6%
6 3
 
1.0%
4 2
 
0.7%
114 1
 
0.3%
43 1
 
0.3%
11 1
 
0.3%
5 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 189
62.6%
1 50
 
16.6%
2 17
 
5.6%
3 11
 
3.6%
4 2
 
0.7%
5 1
 
0.3%
6 3
 
1.0%
11 1
 
0.3%
26 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
114 1
 
0.3%
43 1
 
0.3%
26 1
 
0.3%
11 1
 
0.3%
6 3
 
1.0%
5 1
 
0.3%
4 2
 
0.7%
3 11
 
3.6%
2 17
 
5.6%
1 50
16.6%

2016-06
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.4584838
Minimum0
Maximum132
Zeros183
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:11.479442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum132
Range132
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.6239413
Coefficient of variation (CV)5.9129499
Kurtosis193.87393
Mean1.4584838
Median Absolute Deviation (MAD)0
Skewness13.238829
Sum404
Variance74.372364
MonotonicityNot monotonic
2024-03-30T08:52:11.853434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 183
60.6%
1 46
 
15.2%
2 21
 
7.0%
3 15
 
5.0%
4 3
 
1.0%
7 2
 
0.7%
132 1
 
0.3%
41 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 183
60.6%
1 46
 
15.2%
2 21
 
7.0%
3 15
 
5.0%
4 3
 
1.0%
5 1
 
0.3%
7 2
 
0.7%
9 1
 
0.3%
10 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
132 1
 
0.3%
41 1
 
0.3%
35 1
 
0.3%
13 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
7 2
 
0.7%
5 1
 
0.3%
4 3
 
1.0%
3 15
5.0%

2016-07
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.1%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.6181818
Minimum0
Maximum142
Zeros185
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:12.177397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum142
Range142
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.4604264
Coefficient of variation (CV)5.8463309
Kurtosis180.89071
Mean1.6181818
Median Absolute Deviation (MAD)0
Skewness12.705272
Sum445
Variance89.499668
MonotonicityNot monotonic
2024-03-30T08:52:12.494292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 185
61.3%
1 42
 
13.9%
2 20
 
6.6%
3 12
 
4.0%
5 6
 
2.0%
8 2
 
0.7%
142 1
 
0.3%
37 1
 
0.3%
4 1
 
0.3%
26 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 185
61.3%
1 42
 
13.9%
2 20
 
6.6%
3 12
 
4.0%
4 1
 
0.3%
5 6
 
2.0%
6 1
 
0.3%
7 1
 
0.3%
8 2
 
0.7%
11 1
 
0.3%
ValueCountFrequency (%)
142 1
 
0.3%
48 1
 
0.3%
37 1
 
0.3%
26 1
 
0.3%
11 1
 
0.3%
8 2
 
0.7%
7 1
 
0.3%
6 1
 
0.3%
5 6
2.0%
4 1
 
0.3%

2016-08
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.4%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.4872727
Minimum0
Maximum133
Zeros178
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:12.911245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum133
Range133
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.8681966
Coefficient of variation (CV)5.9627239
Kurtosis181.20272
Mean1.4872727
Median Absolute Deviation (MAD)0
Skewness12.775167
Sum409
Variance78.64491
MonotonicityNot monotonic
2024-03-30T08:52:13.327987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 178
58.9%
1 54
 
17.9%
2 22
 
7.3%
4 7
 
2.3%
5 4
 
1.3%
3 4
 
1.3%
133 1
 
0.3%
48 1
 
0.3%
16 1
 
0.3%
37 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 178
58.9%
1 54
 
17.9%
2 22
 
7.3%
3 4
 
1.3%
4 7
 
2.3%
5 4
 
1.3%
7 1
 
0.3%
10 1
 
0.3%
16 1
 
0.3%
37 1
 
0.3%
ValueCountFrequency (%)
133 1
 
0.3%
48 1
 
0.3%
37 1
 
0.3%
16 1
 
0.3%
10 1
 
0.3%
7 1
 
0.3%
5 4
 
1.3%
4 7
 
2.3%
3 4
 
1.3%
2 22
7.3%

2016-09
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing26
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.2644928
Minimum0
Maximum112
Zeros183
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:13.856032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum112
Range112
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.5007132
Coefficient of variation (CV)5.9317961
Kurtosis177.97917
Mean1.2644928
Median Absolute Deviation (MAD)0
Skewness12.669989
Sum349
Variance56.260698
MonotonicityNot monotonic
2024-03-30T08:52:14.261720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 183
60.6%
1 54
 
17.9%
2 18
 
6.0%
3 12
 
4.0%
6 2
 
0.7%
4 2
 
0.7%
112 1
 
0.3%
41 1
 
0.3%
5 1
 
0.3%
10 1
 
0.3%
(Missing) 26
 
8.6%
ValueCountFrequency (%)
0 183
60.6%
1 54
 
17.9%
2 18
 
6.0%
3 12
 
4.0%
4 2
 
0.7%
5 1
 
0.3%
6 2
 
0.7%
10 1
 
0.3%
35 1
 
0.3%
41 1
 
0.3%
ValueCountFrequency (%)
112 1
 
0.3%
41 1
 
0.3%
35 1
 
0.3%
10 1
 
0.3%
6 2
 
0.7%
5 1
 
0.3%
4 2
 
0.7%
3 12
 
4.0%
2 18
 
6.0%
1 54
17.9%

2016-10
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.6389892
Minimum0
Maximum146
Zeros177
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:14.624868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum146
Range146
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.902404
Coefficient of variation (CV)6.0417751
Kurtosis169.68229
Mean1.6389892
Median Absolute Deviation (MAD)0
Skewness12.329096
Sum454
Variance98.057605
MonotonicityNot monotonic
2024-03-30T08:52:15.032432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 177
58.6%
1 59
 
19.5%
3 13
 
4.3%
2 13
 
4.3%
4 6
 
2.0%
5 3
 
1.0%
146 1
 
0.3%
60 1
 
0.3%
27 1
 
0.3%
10 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 177
58.6%
1 59
 
19.5%
2 13
 
4.3%
3 13
 
4.3%
4 6
 
2.0%
5 3
 
1.0%
8 1
 
0.3%
10 1
 
0.3%
27 1
 
0.3%
40 1
 
0.3%
ValueCountFrequency (%)
146 1
 
0.3%
60 1
 
0.3%
40 1
 
0.3%
27 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
5 3
 
1.0%
4 6
2.0%
3 13
4.3%
2 13
4.3%

2016-11
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean3.3790614
Minimum0
Maximum308
Zeros179
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:15.431380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum308
Range308
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.210792
Coefficient of variation (CV)7.4608862
Kurtosis105.57312
Mean3.3790614
Median Absolute Deviation (MAD)0
Skewness10.063255
Sum936
Variance635.58405
MonotonicityNot monotonic
2024-03-30T08:52:15.868575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 179
59.3%
1 53
 
17.5%
2 19
 
6.3%
3 10
 
3.3%
4 6
 
2.0%
5 3
 
1.0%
6 2
 
0.7%
308 1
 
0.3%
42 1
 
0.3%
13 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 179
59.3%
1 53
 
17.5%
2 19
 
6.3%
3 10
 
3.3%
4 6
 
2.0%
5 3
 
1.0%
6 2
 
0.7%
13 1
 
0.3%
42 1
 
0.3%
179 1
 
0.3%
ValueCountFrequency (%)
308 1
 
0.3%
222 1
 
0.3%
179 1
 
0.3%
42 1
 
0.3%
13 1
 
0.3%
6 2
 
0.7%
5 3
 
1.0%
4 6
 
2.0%
3 10
3.3%
2 19
6.3%

2016-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.4729242
Minimum0
Maximum133
Zeros175
Zeros (%)57.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:16.327484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum133
Range133
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.7030411
Coefficient of variation (CV)5.9086823
Kurtosis192.90855
Mean1.4729242
Median Absolute Deviation (MAD)0
Skewness13.224091
Sum408
Variance75.742924
MonotonicityNot monotonic
2024-03-30T08:52:16.880076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 175
57.9%
1 53
 
17.5%
2 22
 
7.3%
3 14
 
4.6%
4 7
 
2.3%
133 1
 
0.3%
42 1
 
0.3%
10 1
 
0.3%
13 1
 
0.3%
37 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 175
57.9%
1 53
 
17.5%
2 22
 
7.3%
3 14
 
4.6%
4 7
 
2.3%
6 1
 
0.3%
10 1
 
0.3%
13 1
 
0.3%
37 1
 
0.3%
42 1
 
0.3%
ValueCountFrequency (%)
133 1
 
0.3%
42 1
 
0.3%
37 1
 
0.3%
13 1
 
0.3%
10 1
 
0.3%
6 1
 
0.3%
4 7
 
2.3%
3 14
 
4.6%
2 22
7.3%
1 53
17.5%

2017-01
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.1083032
Minimum0
Maximum103
Zeros199
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:17.219149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum103
Range103
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.9058762
Coefficient of variation (CV)6.2310349
Kurtosis177.06685
Mean1.1083032
Median Absolute Deviation (MAD)0
Skewness12.616072
Sum307
Variance47.691126
MonotonicityNot monotonic
2024-03-30T08:52:17.685899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 199
65.9%
1 51
 
16.9%
3 9
 
3.0%
2 9
 
3.0%
4 3
 
1.0%
7 2
 
0.7%
103 1
 
0.3%
40 1
 
0.3%
14 1
 
0.3%
28 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 199
65.9%
1 51
 
16.9%
2 9
 
3.0%
3 9
 
3.0%
4 3
 
1.0%
7 2
 
0.7%
14 1
 
0.3%
28 1
 
0.3%
40 1
 
0.3%
103 1
 
0.3%
ValueCountFrequency (%)
103 1
 
0.3%
40 1
 
0.3%
28 1
 
0.3%
14 1
 
0.3%
7 2
 
0.7%
4 3
 
1.0%
3 9
 
3.0%
2 9
 
3.0%
1 51
 
16.9%
0 199
65.9%

2017-02
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.1696751
Minimum0
Maximum106
Zeros198
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:18.152440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum106
Range106
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.1386439
Coefficient of variation (CV)6.1030999
Kurtosis174.22885
Mean1.1696751
Median Absolute Deviation (MAD)0
Skewness12.500491
Sum324
Variance50.960236
MonotonicityNot monotonic
2024-03-30T08:52:18.622524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 198
65.6%
1 45
 
14.9%
2 18
 
6.0%
3 7
 
2.3%
4 2
 
0.7%
6 2
 
0.7%
106 1
 
0.3%
43 1
 
0.3%
15 1
 
0.3%
11 1
 
0.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 198
65.6%
1 45
 
14.9%
2 18
 
6.0%
3 7
 
2.3%
4 2
 
0.7%
6 2
 
0.7%
11 1
 
0.3%
15 1
 
0.3%
27 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
106 1
 
0.3%
43 1
 
0.3%
27 1
 
0.3%
15 1
 
0.3%
11 1
 
0.3%
6 2
 
0.7%
4 2
 
0.7%
3 7
 
2.3%
2 18
 
6.0%
1 45
14.9%

2017-03
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.368231
Minimum0
Maximum125
Zeros198
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:19.156863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum125
Range125
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.2128479
Coefficient of variation (CV)6.00253
Kurtosis189.45795
Mean1.368231
Median Absolute Deviation (MAD)0
Skewness13.021371
Sum379
Variance67.450871
MonotonicityNot monotonic
2024-03-30T08:52:19.656984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 198
65.6%
1 40
 
13.2%
2 15
 
5.0%
3 7
 
2.3%
4 7
 
2.3%
7 2
 
0.7%
5 2
 
0.7%
125 1
 
0.3%
33 1
 
0.3%
11 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 198
65.6%
1 40
 
13.2%
2 15
 
5.0%
3 7
 
2.3%
4 7
 
2.3%
5 2
 
0.7%
7 2
 
0.7%
11 1
 
0.3%
12 1
 
0.3%
17 1
 
0.3%
ValueCountFrequency (%)
125 1
 
0.3%
38 1
 
0.3%
33 1
 
0.3%
17 1
 
0.3%
12 1
 
0.3%
11 1
 
0.3%
7 2
 
0.7%
5 2
 
0.7%
4 7
2.3%
3 7
2.3%

2017-04
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.2805755
Minimum0
Maximum118
Zeros200
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:20.120938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum118
Range118
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.0252569
Coefficient of variation (CV)6.2669141
Kurtosis167.97829
Mean1.2805755
Median Absolute Deviation (MAD)0
Skewness12.261763
Sum356
Variance64.404748
MonotonicityNot monotonic
2024-03-30T08:52:20.783473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 200
66.2%
1 44
 
14.6%
2 17
 
5.6%
3 6
 
2.0%
4 4
 
1.3%
8 2
 
0.7%
118 1
 
0.3%
50 1
 
0.3%
21 1
 
0.3%
32 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 200
66.2%
1 44
 
14.6%
2 17
 
5.6%
3 6
 
2.0%
4 4
 
1.3%
7 1
 
0.3%
8 2
 
0.7%
21 1
 
0.3%
32 1
 
0.3%
50 1
 
0.3%
ValueCountFrequency (%)
118 1
 
0.3%
50 1
 
0.3%
32 1
 
0.3%
21 1
 
0.3%
8 2
 
0.7%
7 1
 
0.3%
4 4
 
1.3%
3 6
 
2.0%
2 17
 
5.6%
1 44
14.6%

2017-05
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean2.2122302
Minimum0
Maximum200
Zeros173
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:21.132864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.15
Maximum200
Range200
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.694247
Coefficient of variation (CV)6.1902452
Kurtosis165.07097
Mean2.2122302
Median Absolute Deviation (MAD)0
Skewness12.178634
Sum615
Variance187.53241
MonotonicityNot monotonic
2024-03-30T08:52:21.512238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 173
57.3%
1 56
 
18.5%
2 21
 
7.0%
3 10
 
3.3%
4 4
 
1.3%
8 2
 
0.7%
40 2
 
0.7%
5 2
 
0.7%
6 2
 
0.7%
200 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 173
57.3%
1 56
 
18.5%
2 21
 
7.0%
3 10
 
3.3%
4 4
 
1.3%
5 2
 
0.7%
6 2
 
0.7%
8 2
 
0.7%
12 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
200 1
0.3%
93 1
0.3%
40 2
0.7%
17 1
0.3%
16 1
0.3%
15 1
0.3%
12 1
0.3%
8 2
0.7%
6 2
0.7%
5 2
0.7%

2017-06
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.6726619
Minimum0
Maximum147
Zeros176
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:21.936080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum147
Range147
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.7056335
Coefficient of variation (CV)5.8025078
Kurtosis185.74552
Mean1.6726619
Median Absolute Deviation (MAD)0
Skewness12.92788
Sum465
Variance94.199322
MonotonicityNot monotonic
2024-03-30T08:52:22.288338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 176
58.3%
1 48
 
15.9%
2 25
 
8.3%
3 10
 
3.3%
4 6
 
2.0%
7 4
 
1.3%
6 3
 
1.0%
5 2
 
0.7%
147 1
 
0.3%
43 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 176
58.3%
1 48
 
15.9%
2 25
 
8.3%
3 10
 
3.3%
4 6
 
2.0%
5 2
 
0.7%
6 3
 
1.0%
7 4
 
1.3%
18 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
147 1
 
0.3%
49 1
 
0.3%
43 1
 
0.3%
18 1
 
0.3%
7 4
 
1.3%
6 3
 
1.0%
5 2
 
0.7%
4 6
 
2.0%
3 10
 
3.3%
2 25
8.3%

2017-07
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.9784946
Minimum0
Maximum179
Zeros170
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:22.748678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum179
Range179
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.045458
Coefficient of variation (CV)6.0881935
Kurtosis173.98043
Mean1.9784946
Median Absolute Deviation (MAD)0
Skewness12.518508
Sum552
Variance145.09306
MonotonicityNot monotonic
2024-03-30T08:52:23.188805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 170
56.3%
1 59
 
19.5%
2 20
 
6.6%
3 9
 
3.0%
5 6
 
2.0%
4 5
 
1.7%
8 2
 
0.7%
179 1
 
0.3%
73 1
 
0.3%
21 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 170
56.3%
1 59
 
19.5%
2 20
 
6.6%
3 9
 
3.0%
4 5
 
1.7%
5 6
 
2.0%
6 1
 
0.3%
7 1
 
0.3%
8 2
 
0.7%
9 1
 
0.3%
ValueCountFrequency (%)
179 1
 
0.3%
73 1
 
0.3%
52 1
 
0.3%
21 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
8 2
 
0.7%
7 1
 
0.3%
6 1
 
0.3%
5 6
2.0%

2017-08
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.9283154
Minimum0
Maximum173
Zeros184
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:23.508571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum173
Range173
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.858968
Coefficient of variation (CV)6.1499111
Kurtosis164.07346
Mean1.9283154
Median Absolute Deviation (MAD)0
Skewness12.154266
Sum538
Variance140.63513
MonotonicityNot monotonic
2024-03-30T08:52:23.850549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 184
60.9%
1 44
 
14.6%
2 23
 
7.6%
3 8
 
2.6%
4 6
 
2.0%
5 3
 
1.0%
6 2
 
0.7%
8 2
 
0.7%
173 1
 
0.3%
44 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 184
60.9%
1 44
 
14.6%
2 23
 
7.6%
3 8
 
2.6%
4 6
 
2.0%
5 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%
8 2
 
0.7%
10 1
 
0.3%
ValueCountFrequency (%)
173 1
 
0.3%
81 1
 
0.3%
44 1
 
0.3%
28 1
 
0.3%
14 1
 
0.3%
10 1
 
0.3%
8 2
0.7%
7 1
 
0.3%
6 2
0.7%
5 3
1.0%

2017-09
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)6.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.0967742
Minimum0
Maximum284
Zeros185
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:24.383080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.1
Maximum284
Range284
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.651517
Coefficient of variation (CV)6.0228857
Kurtosis187.18272
Mean3.0967742
Median Absolute Deviation (MAD)0
Skewness12.779147
Sum864
Variance347.87909
MonotonicityNot monotonic
2024-03-30T08:52:24.771545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 185
61.3%
1 47
 
15.6%
2 16
 
5.3%
3 7
 
2.3%
5 5
 
1.7%
4 3
 
1.0%
31 2
 
0.7%
6 2
 
0.7%
42 2
 
0.7%
41 1
 
0.3%
Other values (9) 9
 
3.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 185
61.3%
1 47
 
15.6%
2 16
 
5.3%
3 7
 
2.3%
4 3
 
1.0%
5 5
 
1.7%
6 2
 
0.7%
7 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
284 1
0.3%
68 1
0.3%
56 1
0.3%
43 1
0.3%
42 2
0.7%
41 1
0.3%
31 2
0.7%
30 1
0.3%
21 1
0.3%
10 1
0.3%

2017-10
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.1003584
Minimum0
Maximum100
Zeros199
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:25.133016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum100
Range100
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.5982312
Coefficient of variation (CV)5.9964381
Kurtosis186.7282
Mean1.1003584
Median Absolute Deviation (MAD)0
Skewness12.987015
Sum307
Variance43.536655
MonotonicityNot monotonic
2024-03-30T08:52:25.598953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 199
65.9%
1 45
 
14.9%
2 20
 
6.6%
3 3
 
1.0%
4 3
 
1.0%
6 2
 
0.7%
5 2
 
0.7%
100 1
 
0.3%
18 1
 
0.3%
15 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 199
65.9%
1 45
 
14.9%
2 20
 
6.6%
3 3
 
1.0%
4 3
 
1.0%
5 2
 
0.7%
6 2
 
0.7%
7 1
 
0.3%
15 1
 
0.3%
18 1
 
0.3%
ValueCountFrequency (%)
100 1
 
0.3%
39 1
 
0.3%
18 1
 
0.3%
15 1
 
0.3%
7 1
 
0.3%
6 2
 
0.7%
5 2
 
0.7%
4 3
 
1.0%
3 3
 
1.0%
2 20
6.6%

2017-11
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.9605735
Minimum0
Maximum178
Zeros176
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:25.986349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum178
Range178
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.594554
Coefficient of variation (CV)5.9138586
Kurtosis193.72595
Mean1.9605735
Median Absolute Deviation (MAD)0
Skewness13.125531
Sum547
Variance134.43369
MonotonicityNot monotonic
2024-03-30T08:52:26.375489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 176
58.3%
1 55
 
18.2%
2 18
 
6.0%
3 14
 
4.6%
7 3
 
1.0%
5 2
 
0.7%
4 2
 
0.7%
33 2
 
0.7%
178 1
 
0.3%
38 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 176
58.3%
1 55
 
18.2%
2 18
 
6.0%
3 14
 
4.6%
4 2
 
0.7%
5 2
 
0.7%
7 3
 
1.0%
8 1
 
0.3%
10 1
 
0.3%
12 1
 
0.3%
ValueCountFrequency (%)
178 1
 
0.3%
45 1
 
0.3%
38 1
 
0.3%
33 2
0.7%
18 1
 
0.3%
12 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
7 3
1.0%
5 2
0.7%

2017-12
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)5.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.874552
Minimum0
Maximum168
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:27.100566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum168
Range168
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.443104
Coefficient of variation (CV)6.1044477
Kurtosis165.69865
Mean1.874552
Median Absolute Deviation (MAD)0
Skewness12.139376
Sum523
Variance130.94464
MonotonicityNot monotonic
2024-03-30T08:52:27.438953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 187
61.9%
1 50
 
16.6%
2 16
 
5.3%
3 7
 
2.3%
5 4
 
1.3%
7 3
 
1.0%
4 2
 
0.7%
6 2
 
0.7%
14 1
 
0.3%
57 1
 
0.3%
Other values (6) 6
 
2.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 187
61.9%
1 50
 
16.6%
2 16
 
5.3%
3 7
 
2.3%
4 2
 
0.7%
5 4
 
1.3%
6 2
 
0.7%
7 3
 
1.0%
8 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
168 1
 
0.3%
65 1
 
0.3%
57 1
 
0.3%
26 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
7 3
1.0%
6 2
0.7%

2018-01
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.4480287
Minimum0
Maximum223
Zeros190
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:27.841988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum223
Range223
Interquartile range (IQR)1

Descriptive statistics

Standard deviation17.129112
Coefficient of variation (CV)6.9971041
Kurtosis118.25438
Mean2.4480287
Median Absolute Deviation (MAD)0
Skewness10.464561
Sum683
Variance293.40646
MonotonicityNot monotonic
2024-03-30T08:52:28.427461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 190
62.9%
1 51
 
16.9%
2 16
 
5.3%
3 11
 
3.6%
8 2
 
0.7%
4 2
 
0.7%
223 1
 
0.3%
43 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 190
62.9%
1 51
 
16.9%
2 16
 
5.3%
3 11
 
3.6%
4 2
 
0.7%
8 2
 
0.7%
9 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
223 1
 
0.3%
139 1
 
0.3%
108 1
 
0.3%
43 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 2
 
0.7%
4 2
 
0.7%
3 11
3.6%

2018-02
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.218638
Minimum0
Maximum110
Zeros194
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:28.769878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum110
Range110
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.3041978
Coefficient of variation (CV)5.9937388
Kurtosis181.75393
Mean1.218638
Median Absolute Deviation (MAD)0
Skewness12.7789
Sum340
Variance53.351306
MonotonicityNot monotonic
2024-03-30T08:52:29.336871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 194
64.2%
1 49
 
16.2%
2 18
 
6.0%
3 5
 
1.7%
4 3
 
1.0%
6 3
 
1.0%
5 2
 
0.7%
110 1
 
0.3%
33 1
 
0.3%
10 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 194
64.2%
1 49
 
16.2%
2 18
 
6.0%
3 5
 
1.7%
4 3
 
1.0%
5 2
 
0.7%
6 3
 
1.0%
8 1
 
0.3%
10 1
 
0.3%
33 1
 
0.3%
ValueCountFrequency (%)
110 1
 
0.3%
39 1
 
0.3%
33 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
6 3
 
1.0%
5 2
 
0.7%
4 3
 
1.0%
3 5
 
1.7%
2 18
6.0%

2018-03
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.4910394
Minimum0
Maximum227
Zeros177
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:29.760844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum227
Range227
Interquartile range (IQR)1

Descriptive statistics

Standard deviation16.03904
Coefficient of variation (CV)6.4386939
Kurtosis149.03886
Mean2.4910394
Median Absolute Deviation (MAD)0
Skewness11.59422
Sum695
Variance257.25082
MonotonicityNot monotonic
2024-03-30T08:52:30.193500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 177
58.6%
1 46
 
15.2%
2 21
 
7.0%
3 11
 
3.6%
4 8
 
2.6%
5 5
 
1.7%
6 4
 
1.3%
7 2
 
0.7%
227 1
 
0.3%
118 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 177
58.6%
1 46
 
15.2%
2 21
 
7.0%
3 11
 
3.6%
4 8
 
2.6%
5 5
 
1.7%
6 4
 
1.3%
7 2
 
0.7%
18 1
 
0.3%
55 1
 
0.3%
ValueCountFrequency (%)
227 1
 
0.3%
118 1
 
0.3%
61 1
 
0.3%
55 1
 
0.3%
18 1
 
0.3%
7 2
 
0.7%
6 4
 
1.3%
5 5
1.7%
4 8
2.6%
3 11
3.6%

2018-04
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.7706093
Minimum0
Maximum161
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:30.635541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum161
Range161
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.810886
Coefficient of variation (CV)6.1057431
Kurtosis174.2659
Mean1.7706093
Median Absolute Deviation (MAD)0
Skewness12.462903
Sum494
Variance116.87525
MonotonicityNot monotonic
2024-03-30T08:52:31.299326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 187
61.9%
1 47
 
15.6%
2 20
 
6.6%
3 7
 
2.3%
5 4
 
1.3%
4 4
 
1.3%
10 2
 
0.7%
8 2
 
0.7%
161 1
 
0.3%
59 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 187
61.9%
1 47
 
15.6%
2 20
 
6.6%
3 7
 
2.3%
4 4
 
1.3%
5 4
 
1.3%
6 1
 
0.3%
8 2
 
0.7%
10 2
 
0.7%
13 1
 
0.3%
ValueCountFrequency (%)
161 1
 
0.3%
59 1
 
0.3%
49 1
 
0.3%
26 1
 
0.3%
13 1
 
0.3%
10 2
0.7%
8 2
0.7%
6 1
 
0.3%
5 4
1.3%
4 4
1.3%

2018-05
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.874552
Minimum0
Maximum171
Zeros184
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:31.803544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum171
Range171
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.723218
Coefficient of variation (CV)6.2538774
Kurtosis162.75808
Mean1.874552
Median Absolute Deviation (MAD)0
Skewness12.051439
Sum523
Variance137.43385
MonotonicityNot monotonic
2024-03-30T08:52:32.227726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 184
60.9%
1 50
 
16.6%
2 22
 
7.3%
3 7
 
2.3%
5 3
 
1.0%
4 3
 
1.0%
42 2
 
0.7%
8 2
 
0.7%
6 2
 
0.7%
171 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 184
60.9%
1 50
 
16.6%
2 22
 
7.3%
3 7
 
2.3%
4 3
 
1.0%
5 3
 
1.0%
6 2
 
0.7%
8 2
 
0.7%
10 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
171 1
 
0.3%
75 1
 
0.3%
42 2
 
0.7%
13 1
 
0.3%
10 1
 
0.3%
8 2
 
0.7%
6 2
 
0.7%
5 3
1.0%
4 3
1.0%
3 7
2.3%

2018-06
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4516129
Minimum0
Maximum129
Zeros184
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:32.725077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum129
Range129
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.5303303
Coefficient of variation (CV)5.8764498
Kurtosis185.45012
Mean1.4516129
Median Absolute Deviation (MAD)0
Skewness12.959414
Sum405
Variance72.766535
MonotonicityNot monotonic
2024-03-30T08:52:33.114603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 184
60.9%
1 48
 
15.9%
2 21
 
7.0%
3 13
 
4.3%
4 3
 
1.0%
6 2
 
0.7%
129 1
 
0.3%
24 1
 
0.3%
17 1
 
0.3%
8 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 184
60.9%
1 48
 
15.9%
2 21
 
7.0%
3 13
 
4.3%
4 3
 
1.0%
5 1
 
0.3%
6 2
 
0.7%
7 1
 
0.3%
8 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
129 1
 
0.3%
52 1
 
0.3%
24 1
 
0.3%
17 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 2
0.7%
5 1
 
0.3%
4 3
1.0%

2018-07
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)5.7%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean2.4071429
Minimum0
Maximum220
Zeros190
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:33.509307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum220
Range220
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.356876
Coefficient of variation (CV)6.3797111
Kurtosis151.63628
Mean2.4071429
Median Absolute Deviation (MAD)0
Skewness11.577096
Sum674
Variance235.83364
MonotonicityNot monotonic
2024-03-30T08:52:33.828948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 190
62.9%
1 43
 
14.2%
2 18
 
6.0%
4 7
 
2.3%
3 7
 
2.3%
6 3
 
1.0%
5 2
 
0.7%
10 2
 
0.7%
42 1
 
0.3%
83 1
 
0.3%
Other values (6) 6
 
2.0%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 190
62.9%
1 43
 
14.2%
2 18
 
6.0%
3 7
 
2.3%
4 7
 
2.3%
5 2
 
0.7%
6 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
10 2
 
0.7%
ValueCountFrequency (%)
220 1
 
0.3%
91 1
 
0.3%
83 1
 
0.3%
42 1
 
0.3%
34 1
 
0.3%
13 1
 
0.3%
10 2
0.7%
8 1
 
0.3%
7 1
 
0.3%
6 3
1.0%

2018-08
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.688172
Minimum0
Maximum155
Zeros196
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:34.313071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum155
Range155
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.300498
Coefficient of variation (CV)6.1015688
Kurtosis180.15405
Mean1.688172
Median Absolute Deviation (MAD)0
Skewness12.619988
Sum471
Variance106.10026
MonotonicityNot monotonic
2024-03-30T08:52:34.740712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 196
64.9%
1 38
 
12.6%
2 21
 
7.0%
3 8
 
2.6%
4 4
 
1.3%
5 3
 
1.0%
30 2
 
0.7%
155 1
 
0.3%
32 1
 
0.3%
16 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 196
64.9%
1 38
 
12.6%
2 21
 
7.0%
3 8
 
2.6%
4 4
 
1.3%
5 3
 
1.0%
6 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
16 1
 
0.3%
ValueCountFrequency (%)
155 1
 
0.3%
52 1
 
0.3%
32 1
 
0.3%
30 2
0.7%
16 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 3
1.0%
4 4
1.3%

2018-09
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4695341
Minimum0
Maximum132
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:35.138388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.1
Maximum132
Range132
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.8165743
Coefficient of variation (CV)5.9995713
Kurtosis177.62763
Mean1.4695341
Median Absolute Deviation (MAD)0
Skewness12.598996
Sum410
Variance77.731982
MonotonicityNot monotonic
2024-03-30T08:52:35.522811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 187
61.9%
1 53
 
17.5%
2 20
 
6.6%
3 5
 
1.7%
4 2
 
0.7%
5 2
 
0.7%
6 2
 
0.7%
132 1
 
0.3%
42 1
 
0.3%
15 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 187
61.9%
1 53
 
17.5%
2 20
 
6.6%
3 5
 
1.7%
4 2
 
0.7%
5 2
 
0.7%
6 2
 
0.7%
7 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
132 1
0.3%
46 1
0.3%
42 1
0.3%
15 1
0.3%
11 1
0.3%
10 1
0.3%
9 1
0.3%
7 1
0.3%
6 2
0.7%
5 2
0.7%

2018-10
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.8028674
Minimum0
Maximum163
Zeros174
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:35.932297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum163
Range163
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.648768
Coefficient of variation (CV)5.9065729
Kurtosis192.70098
Mean1.8028674
Median Absolute Deviation (MAD)0
Skewness13.172905
Sum503
Variance113.39625
MonotonicityNot monotonic
2024-03-30T08:52:36.394130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 174
57.6%
1 56
 
18.5%
2 18
 
6.0%
3 14
 
4.6%
4 4
 
1.3%
7 4
 
1.3%
17 2
 
0.7%
163 1
 
0.3%
36 1
 
0.3%
8 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 174
57.6%
1 56
 
18.5%
2 18
 
6.0%
3 14
 
4.6%
4 4
 
1.3%
5 1
 
0.3%
6 1
 
0.3%
7 4
 
1.3%
8 1
 
0.3%
17 2
 
0.7%
ValueCountFrequency (%)
163 1
 
0.3%
55 1
 
0.3%
36 1
 
0.3%
18 1
 
0.3%
17 2
0.7%
8 1
 
0.3%
7 4
1.3%
6 1
 
0.3%
5 1
 
0.3%
4 4
1.3%

2018-11
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.6129032
Minimum0
Maximum147
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:37.045287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum147
Range147
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.533016
Coefficient of variation (CV)5.9104699
Kurtosis197.19276
Mean1.6129032
Median Absolute Deviation (MAD)0
Skewness13.269257
Sum450
Variance90.878394
MonotonicityNot monotonic
2024-03-30T08:52:37.708901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 187
61.9%
1 44
 
14.6%
2 28
 
9.3%
5 5
 
1.7%
4 4
 
1.3%
3 3
 
1.0%
147 1
 
0.3%
29 1
 
0.3%
27 1
 
0.3%
16 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 187
61.9%
1 44
 
14.6%
2 28
 
9.3%
3 3
 
1.0%
4 4
 
1.3%
5 5
 
1.7%
7 1
 
0.3%
16 1
 
0.3%
17 1
 
0.3%
18 1
 
0.3%
ValueCountFrequency (%)
147 1
 
0.3%
39 1
 
0.3%
29 1
 
0.3%
27 1
 
0.3%
18 1
 
0.3%
17 1
 
0.3%
16 1
 
0.3%
7 1
 
0.3%
5 5
1.7%
4 4
1.3%

2018-12
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)5.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.1003584
Minimum0
Maximum193
Zeros196
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:38.468794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum193
Range193
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.418712
Coefficient of variation (CV)6.3887725
Kurtosis154.60247
Mean2.1003584
Median Absolute Deviation (MAD)0
Skewness11.677348
Sum586
Variance180.06183
MonotonicityNot monotonic
2024-03-30T08:52:38.914536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 196
64.9%
1 45
 
14.9%
2 17
 
5.6%
5 4
 
1.3%
3 4
 
1.3%
6 2
 
0.7%
4 2
 
0.7%
88 1
 
0.3%
10 1
 
0.3%
48 1
 
0.3%
Other values (6) 6
 
2.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 196
64.9%
1 45
 
14.9%
2 17
 
5.6%
3 4
 
1.3%
4 2
 
0.7%
5 4
 
1.3%
6 2
 
0.7%
8 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
193 1
0.3%
88 1
0.3%
48 1
0.3%
42 1
0.3%
30 1
0.3%
27 1
0.3%
10 1
0.3%
9 1
0.3%
8 1
0.3%
6 2
0.7%

2019-01
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.3512545
Minimum0
Maximum124
Zeros199
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:39.581533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum124
Range124
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.381973
Coefficient of variation (CV)6.2031047
Kurtosis170.88421
Mean1.3512545
Median Absolute Deviation (MAD)0
Skewness12.342374
Sum377
Variance70.257471
MonotonicityNot monotonic
2024-03-30T08:52:40.284297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 199
65.9%
1 45
 
14.9%
2 16
 
5.3%
3 9
 
3.0%
4 3
 
1.0%
124 1
 
0.3%
26 1
 
0.3%
6 1
 
0.3%
23 1
 
0.3%
11 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 199
65.9%
1 45
 
14.9%
2 16
 
5.3%
3 9
 
3.0%
4 3
 
1.0%
6 1
 
0.3%
11 1
 
0.3%
19 1
 
0.3%
23 1
 
0.3%
26 1
 
0.3%
ValueCountFrequency (%)
124 1
 
0.3%
52 1
 
0.3%
26 1
 
0.3%
23 1
 
0.3%
19 1
 
0.3%
11 1
 
0.3%
6 1
 
0.3%
4 3
 
1.0%
3 9
3.0%
2 16
5.3%

2019-02
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.0107527
Minimum0
Maximum167
Zeros210
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:40.811769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.1
Maximum167
Range167
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.936615
Coefficient of variation (CV)6.4337175
Kurtosis110.89658
Mean2.0107527
Median Absolute Deviation (MAD)0
Skewness9.9600201
Sum561
Variance167.356
MonotonicityNot monotonic
2024-03-30T08:52:41.476430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 210
69.5%
1 41
 
13.6%
2 13
 
4.3%
5 3
 
1.0%
4 2
 
0.7%
167 1
 
0.3%
22 1
 
0.3%
23 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 210
69.5%
1 41
 
13.6%
2 13
 
4.3%
3 1
 
0.3%
4 2
 
0.7%
5 3
 
1.0%
6 1
 
0.3%
8 1
 
0.3%
15 1
 
0.3%
22 1
 
0.3%
ValueCountFrequency (%)
167 1
 
0.3%
102 1
 
0.3%
63 1
 
0.3%
62 1
 
0.3%
23 1
 
0.3%
22 1
 
0.3%
15 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 3
1.0%

2019-03
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.0143369
Minimum0
Maximum93
Zeros204
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:42.401660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.1638137
Coefficient of variation (CV)6.0766927
Kurtosis183.32523
Mean1.0143369
Median Absolute Deviation (MAD)0
Skewness12.84155
Sum283
Variance37.992599
MonotonicityNot monotonic
2024-03-30T08:52:43.354760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 204
67.5%
1 44
 
14.6%
2 14
 
4.6%
3 7
 
2.3%
4 4
 
1.3%
5 2
 
0.7%
93 1
 
0.3%
23 1
 
0.3%
13 1
 
0.3%
35 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 204
67.5%
1 44
 
14.6%
2 14
 
4.6%
3 7
 
2.3%
4 4
 
1.3%
5 2
 
0.7%
13 1
 
0.3%
23 1
 
0.3%
35 1
 
0.3%
93 1
 
0.3%
ValueCountFrequency (%)
93 1
 
0.3%
35 1
 
0.3%
23 1
 
0.3%
13 1
 
0.3%
5 2
 
0.7%
4 4
 
1.3%
3 7
 
2.3%
2 14
 
4.6%
1 44
 
14.6%
0 204
67.5%

2019-04
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.6989247
Minimum0
Maximum148
Zeros193
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:44.196827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum148
Range148
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.319833
Coefficient of variation (CV)6.0743322
Kurtosis155.19696
Mean1.6989247
Median Absolute Deviation (MAD)0
Skewness11.787669
Sum474
Variance106.49896
MonotonicityNot monotonic
2024-03-30T08:52:44.828145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 193
63.9%
1 45
 
14.9%
2 17
 
5.6%
3 7
 
2.3%
4 5
 
1.7%
5 3
 
1.0%
6 2
 
0.7%
148 1
 
0.3%
25 1
 
0.3%
17 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 193
63.9%
1 45
 
14.9%
2 17
 
5.6%
3 7
 
2.3%
4 5
 
1.7%
5 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%
17 1
 
0.3%
25 1
 
0.3%
ValueCountFrequency (%)
148 1
 
0.3%
75 1
 
0.3%
29 1
 
0.3%
26 1
 
0.3%
25 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
6 2
 
0.7%
5 3
1.0%
4 5
1.7%

2019-05
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.265233
Minimum0
Maximum116
Zeros186
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:45.715136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum116
Range116
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6807647
Coefficient of variation (CV)6.0706327
Kurtosis185.01199
Mean1.265233
Median Absolute Deviation (MAD)0
Skewness12.970716
Sum353
Variance58.994147
MonotonicityNot monotonic
2024-03-30T08:52:46.268859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 186
61.6%
1 55
 
18.2%
2 18
 
6.0%
3 7
 
2.3%
4 6
 
2.0%
5 2
 
0.7%
116 1
 
0.3%
26 1
 
0.3%
11 1
 
0.3%
47 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 186
61.6%
1 55
 
18.2%
2 18
 
6.0%
3 7
 
2.3%
4 6
 
2.0%
5 2
 
0.7%
7 1
 
0.3%
11 1
 
0.3%
26 1
 
0.3%
47 1
 
0.3%
ValueCountFrequency (%)
116 1
 
0.3%
47 1
 
0.3%
26 1
 
0.3%
11 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 6
 
2.0%
3 7
 
2.3%
2 18
 
6.0%
1 55
18.2%

2019-06
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.1290323
Minimum0
Maximum194
Zeros190
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:46.738452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum194
Range194
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.863329
Coefficient of variation (CV)6.9812605
Kurtosis121.27862
Mean2.1290323
Median Absolute Deviation (MAD)0
Skewness10.631758
Sum594
Variance220.91854
MonotonicityNot monotonic
2024-03-30T08:52:47.493772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 190
62.9%
1 57
 
18.9%
2 12
 
4.0%
3 8
 
2.6%
5 3
 
1.0%
4 3
 
1.0%
194 1
 
0.3%
22 1
 
0.3%
21 1
 
0.3%
11 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 190
62.9%
1 57
 
18.9%
2 12
 
4.0%
3 8
 
2.6%
4 3
 
1.0%
5 3
 
1.0%
11 1
 
0.3%
21 1
 
0.3%
22 1
 
0.3%
87 1
 
0.3%
ValueCountFrequency (%)
194 1
 
0.3%
127 1
 
0.3%
87 1
 
0.3%
22 1
 
0.3%
21 1
 
0.3%
11 1
 
0.3%
5 3
 
1.0%
4 3
 
1.0%
3 8
2.6%
2 12
4.0%

2019-07
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.4480287
Minimum0
Maximum225
Zeros189
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:48.045507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum225
Range225
Interquartile range (IQR)1

Descriptive statistics

Standard deviation17.265697
Coefficient of variation (CV)7.0528983
Kurtosis120.93593
Mean2.4480287
Median Absolute Deviation (MAD)0
Skewness10.623736
Sum683
Variance298.1043
MonotonicityNot monotonic
2024-03-30T08:52:48.455122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 189
62.6%
1 47
 
15.6%
2 23
 
7.6%
4 7
 
2.3%
3 3
 
1.0%
5 3
 
1.0%
225 1
 
0.3%
33 1
 
0.3%
9 1
 
0.3%
16 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 189
62.6%
1 47
 
15.6%
2 23
 
7.6%
3 3
 
1.0%
4 7
 
2.3%
5 3
 
1.0%
6 1
 
0.3%
9 1
 
0.3%
16 1
 
0.3%
33 1
 
0.3%
ValueCountFrequency (%)
225 1
 
0.3%
148 1
 
0.3%
101 1
 
0.3%
33 1
 
0.3%
16 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
5 3
1.0%
4 7
2.3%
3 3
1.0%

2019-08
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.311828
Minimum0
Maximum117
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:48.911281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum117
Range117
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.8336736
Coefficient of variation (CV)5.9715709
Kurtosis177.21667
Mean1.311828
Median Absolute Deviation (MAD)0
Skewness12.646394
Sum366
Variance61.366442
MonotonicityNot monotonic
2024-03-30T08:52:49.514153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 187
61.9%
1 55
 
18.2%
2 12
 
4.0%
3 12
 
4.0%
4 6
 
2.0%
117 1
 
0.3%
31 1
 
0.3%
13 1
 
0.3%
5 1
 
0.3%
48 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 187
61.9%
1 55
 
18.2%
2 12
 
4.0%
3 12
 
4.0%
4 6
 
2.0%
5 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
13 1
 
0.3%
31 1
 
0.3%
ValueCountFrequency (%)
117 1
 
0.3%
48 1
 
0.3%
31 1
 
0.3%
13 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 6
2.0%
3 12
4.0%
2 12
4.0%

2019-09
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.5197133
Minimum0
Maximum138
Zeros189
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:49.974544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum138
Range138
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.6596099
Coefficient of variation (CV)6.3562056
Kurtosis155.5194
Mean1.5197133
Median Absolute Deviation (MAD)0
Skewness11.900963
Sum424
Variance93.308063
MonotonicityNot monotonic
2024-03-30T08:52:50.473587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 189
62.6%
1 52
 
17.2%
2 20
 
6.6%
3 6
 
2.0%
4 4
 
1.3%
5 2
 
0.7%
138 1
 
0.3%
23 1
 
0.3%
15 1
 
0.3%
7 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 189
62.6%
1 52
 
17.2%
2 20
 
6.6%
3 6
 
2.0%
4 4
 
1.3%
5 2
 
0.7%
7 1
 
0.3%
15 1
 
0.3%
23 1
 
0.3%
31 1
 
0.3%
ValueCountFrequency (%)
138 1
 
0.3%
74 1
 
0.3%
31 1
 
0.3%
23 1
 
0.3%
15 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 4
 
1.3%
3 6
 
2.0%
2 20
6.6%

2019-10
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.3870968
Minimum0
Maximum125
Zeros195
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:50.851033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum125
Range125
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.4138019
Coefficient of variation (CV)6.0657642
Kurtosis175.05076
Mean1.3870968
Median Absolute Deviation (MAD)0
Skewness12.594886
Sum387
Variance70.792063
MonotonicityNot monotonic
2024-03-30T08:52:51.362065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 195
64.6%
1 39
 
12.9%
2 23
 
7.6%
5 6
 
2.0%
4 5
 
1.7%
3 5
 
1.7%
125 1
 
0.3%
26 1
 
0.3%
17 1
 
0.3%
56 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 195
64.6%
1 39
 
12.9%
2 23
 
7.6%
3 5
 
1.7%
4 5
 
1.7%
5 6
 
2.0%
6 1
 
0.3%
7 1
 
0.3%
17 1
 
0.3%
26 1
 
0.3%
ValueCountFrequency (%)
125 1
 
0.3%
56 1
 
0.3%
26 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 6
 
2.0%
4 5
 
1.7%
3 5
 
1.7%
2 23
7.6%

2019-11
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4731183
Minimum0
Maximum133
Zeros180
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:51.823718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum133
Range133
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.820665
Coefficient of variation (CV)5.9877507
Kurtosis183.2657
Mean1.4731183
Median Absolute Deviation (MAD)0
Skewness12.875413
Sum411
Variance77.804131
MonotonicityNot monotonic
2024-03-30T08:52:52.255545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 180
59.6%
1 54
 
17.9%
2 19
 
6.3%
3 11
 
3.6%
4 7
 
2.3%
5 3
 
1.0%
133 1
 
0.3%
33 1
 
0.3%
16 1
 
0.3%
52 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 180
59.6%
1 54
 
17.9%
2 19
 
6.3%
3 11
 
3.6%
4 7
 
2.3%
5 3
 
1.0%
9 1
 
0.3%
16 1
 
0.3%
33 1
 
0.3%
52 1
 
0.3%
ValueCountFrequency (%)
133 1
 
0.3%
52 1
 
0.3%
33 1
 
0.3%
16 1
 
0.3%
9 1
 
0.3%
5 3
 
1.0%
4 7
 
2.3%
3 11
 
3.6%
2 19
 
6.3%
1 54
17.9%

2019-12
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.6236559
Minimum0
Maximum145
Zeros179
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:52.682082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum145
Range145
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.6614423
Coefficient of variation (CV)5.9504247
Kurtosis180.17863
Mean1.6236559
Median Absolute Deviation (MAD)0
Skewness12.753626
Sum453
Variance93.343467
MonotonicityNot monotonic
2024-03-30T08:52:53.120977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 179
59.3%
1 47
 
15.6%
2 28
 
9.3%
3 10
 
3.3%
4 4
 
1.3%
7 2
 
0.7%
5 2
 
0.7%
6 2
 
0.7%
145 1
 
0.3%
37 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 179
59.3%
1 47
 
15.6%
2 28
 
9.3%
3 10
 
3.3%
4 4
 
1.3%
5 2
 
0.7%
6 2
 
0.7%
7 2
 
0.7%
13 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
145 1
 
0.3%
58 1
 
0.3%
37 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
7 2
 
0.7%
6 2
 
0.7%
5 2
 
0.7%
4 4
 
1.3%
3 10
3.3%

2020-01
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.3870968
Minimum0
Maximum125
Zeros184
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:53.464077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum125
Range125
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.2558446
Coefficient of variation (CV)5.9518879
Kurtosis186.05264
Mean1.3870968
Median Absolute Deviation (MAD)0
Skewness12.987857
Sum387
Variance68.15897
MonotonicityNot monotonic
2024-03-30T08:52:53.810660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 184
60.9%
1 51
 
16.9%
2 15
 
5.0%
3 14
 
4.6%
4 8
 
2.6%
5 2
 
0.7%
125 1
 
0.3%
31 1
 
0.3%
12 1
 
0.3%
48 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 184
60.9%
1 51
 
16.9%
2 15
 
5.0%
3 14
 
4.6%
4 8
 
2.6%
5 2
 
0.7%
6 1
 
0.3%
12 1
 
0.3%
31 1
 
0.3%
48 1
 
0.3%
ValueCountFrequency (%)
125 1
 
0.3%
48 1
 
0.3%
31 1
 
0.3%
12 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 8
 
2.6%
3 14
 
4.6%
2 15
 
5.0%
1 51
16.9%

2020-02
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4408602
Minimum0
Maximum126
Zeros177
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:54.279946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum126
Range126
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.4947665
Coefficient of variation (CV)5.8956215
Kurtosis174.03262
Mean1.4408602
Median Absolute Deviation (MAD)0
Skewness12.571648
Sum402
Variance72.161058
MonotonicityNot monotonic
2024-03-30T08:52:54.693688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 177
58.6%
1 59
 
19.5%
2 20
 
6.6%
3 8
 
2.6%
4 6
 
2.0%
5 2
 
0.7%
6 2
 
0.7%
126 1
 
0.3%
29 1
 
0.3%
14 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 177
58.6%
1 59
 
19.5%
2 20
 
6.6%
3 8
 
2.6%
4 6
 
2.0%
5 2
 
0.7%
6 2
 
0.7%
7 1
 
0.3%
14 1
 
0.3%
29 1
 
0.3%
ValueCountFrequency (%)
126 1
 
0.3%
57 1
 
0.3%
29 1
 
0.3%
14 1
 
0.3%
7 1
 
0.3%
6 2
 
0.7%
5 2
 
0.7%
4 6
 
2.0%
3 8
 
2.6%
2 20
6.6%

2020-03
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4336918
Minimum0
Maximum130
Zeros188
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:55.054822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum130
Range130
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.795544
Coefficient of variation (CV)6.134892
Kurtosis172.78907
Mean1.4336918
Median Absolute Deviation (MAD)0
Skewness12.546489
Sum400
Variance77.361595
MonotonicityNot monotonic
2024-03-30T08:52:55.446357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 188
62.3%
1 49
 
16.2%
2 17
 
5.6%
3 10
 
3.3%
4 6
 
2.0%
5 2
 
0.7%
6 2
 
0.7%
130 1
 
0.3%
27 1
 
0.3%
16 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 188
62.3%
1 49
 
16.2%
2 17
 
5.6%
3 10
 
3.3%
4 6
 
2.0%
5 2
 
0.7%
6 2
 
0.7%
7 1
 
0.3%
16 1
 
0.3%
27 1
 
0.3%
ValueCountFrequency (%)
130 1
 
0.3%
61 1
 
0.3%
27 1
 
0.3%
16 1
 
0.3%
7 1
 
0.3%
6 2
 
0.7%
5 2
 
0.7%
4 6
 
2.0%
3 10
3.3%
2 17
5.6%

2020-04
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.7849462
Minimum0
Maximum257
Zeros202
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:55.870545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum257
Range257
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.347341
Coefficient of variation (CV)7.6652616
Kurtosis102.09433
Mean2.7849462
Median Absolute Deviation (MAD)0
Skewness9.9211476
Sum777
Variance455.70898
MonotonicityNot monotonic
2024-03-30T08:52:56.286840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 202
66.9%
1 45
 
14.9%
2 14
 
4.6%
3 6
 
2.0%
4 6
 
2.0%
257 1
 
0.3%
185 1
 
0.3%
163 1
 
0.3%
11 1
 
0.3%
40 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 202
66.9%
1 45
 
14.9%
2 14
 
4.6%
3 6
 
2.0%
4 6
 
2.0%
6 1
 
0.3%
11 1
 
0.3%
40 1
 
0.3%
163 1
 
0.3%
185 1
 
0.3%
ValueCountFrequency (%)
257 1
 
0.3%
185 1
 
0.3%
163 1
 
0.3%
40 1
 
0.3%
11 1
 
0.3%
6 1
 
0.3%
4 6
 
2.0%
3 6
 
2.0%
2 14
 
4.6%
1 45
14.9%

2020-05
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.218638
Minimum0
Maximum111
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:56.742988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum111
Range111
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.4044666
Coefficient of variation (CV)6.0760182
Kurtosis180.69764
Mean1.218638
Median Absolute Deviation (MAD)0
Skewness12.821584
Sum340
Variance54.826126
MonotonicityNot monotonic
2024-03-30T08:52:57.228839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 187
61.9%
1 56
 
18.5%
2 20
 
6.6%
4 5
 
1.7%
3 4
 
1.3%
5 2
 
0.7%
111 1
 
0.3%
22 1
 
0.3%
14 1
 
0.3%
48 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 187
61.9%
1 56
 
18.5%
2 20
 
6.6%
3 4
 
1.3%
4 5
 
1.7%
5 2
 
0.7%
7 1
 
0.3%
14 1
 
0.3%
22 1
 
0.3%
48 1
 
0.3%
ValueCountFrequency (%)
111 1
 
0.3%
48 1
 
0.3%
22 1
 
0.3%
14 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 5
 
1.7%
3 4
 
1.3%
2 20
 
6.6%
1 56
18.5%

2020-06
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.9175627
Minimum0
Maximum170
Zeros174
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:57.695877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum170
Range170
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.553614
Coefficient of variation (CV)6.0251555
Kurtosis168.37935
Mean1.9175627
Median Absolute Deviation (MAD)0
Skewness12.308522
Sum535
Variance133.48599
MonotonicityNot monotonic
2024-03-30T08:52:58.166231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 174
57.6%
1 55
 
18.2%
2 22
 
7.3%
3 10
 
3.3%
5 8
 
2.6%
170 1
 
0.3%
47 1
 
0.3%
19 1
 
0.3%
6 1
 
0.3%
17 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 174
57.6%
1 55
 
18.2%
2 22
 
7.3%
3 10
 
3.3%
4 1
 
0.3%
5 8
 
2.6%
6 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
11 1
 
0.3%
ValueCountFrequency (%)
170 1
 
0.3%
75 1
 
0.3%
47 1
 
0.3%
19 1
 
0.3%
17 1
 
0.3%
11 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 8
2.6%

2020-07
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum175
Zeros165
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:58.688685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum175
Range175
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.724966
Coefficient of variation (CV)5.8624828
Kurtosis177.43683
Mean2
Median Absolute Deviation (MAD)0
Skewness12.68728
Sum558
Variance137.47482
MonotonicityNot monotonic
2024-03-30T08:52:59.027670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 165
54.6%
1 52
 
17.2%
2 26
 
8.6%
3 13
 
4.3%
4 8
 
2.6%
5 5
 
1.7%
6 3
 
1.0%
175 1
 
0.3%
40 1
 
0.3%
20 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 165
54.6%
1 52
 
17.2%
2 26
 
8.6%
3 13
 
4.3%
4 8
 
2.6%
5 5
 
1.7%
6 3
 
1.0%
7 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
175 1
 
0.3%
76 1
 
0.3%
40 1
 
0.3%
20 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
6 3
 
1.0%
5 5
1.7%
4 8
2.6%

2020-08
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.6594982
Minimum0
Maximum150
Zeros176
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:52:59.467714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum150
Range150
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.8602925
Coefficient of variation (CV)5.9417313
Kurtosis188.803
Mean1.6594982
Median Absolute Deviation (MAD)0
Skewness13.06936
Sum463
Variance97.225368
MonotonicityNot monotonic
2024-03-30T08:52:59.962676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 176
58.3%
1 54
 
17.9%
2 17
 
5.6%
3 14
 
4.6%
4 5
 
1.7%
6 4
 
1.3%
5 3
 
1.0%
150 1
 
0.3%
40 1
 
0.3%
14 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 176
58.3%
1 54
 
17.9%
2 17
 
5.6%
3 14
 
4.6%
4 5
 
1.7%
5 3
 
1.0%
6 4
 
1.3%
8 1
 
0.3%
9 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
150 1
 
0.3%
53 1
 
0.3%
40 1
 
0.3%
14 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
6 4
 
1.3%
5 3
 
1.0%
4 5
 
1.7%
3 14
4.6%

2020-09
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.078853
Minimum0
Maximum374
Zeros179
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:00.643980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum374
Range374
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.010086
Coefficient of variation (CV)7.3574816
Kurtosis107.41638
Mean4.078853
Median Absolute Deviation (MAD)0
Skewness10.087486
Sum1138
Variance900.60527
MonotonicityNot monotonic
2024-03-30T08:53:00.984870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 179
59.3%
1 50
 
16.6%
2 22
 
7.3%
3 9
 
3.0%
4 6
 
2.0%
5 3
 
1.0%
7 2
 
0.7%
374 1
 
0.3%
28 1
 
0.3%
6 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 179
59.3%
1 50
 
16.6%
2 22
 
7.3%
3 9
 
3.0%
4 6
 
2.0%
5 3
 
1.0%
6 1
 
0.3%
7 2
 
0.7%
9 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
374 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
58 1
 
0.3%
28 1
 
0.3%
20 1
 
0.3%
9 1
 
0.3%
7 2
0.7%
6 1
 
0.3%
5 3
1.0%

2020-10
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4802867
Minimum0
Maximum136
Zeros184
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:01.318281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum136
Range136
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.9466126
Coefficient of variation (CV)6.0438375
Kurtosis188.69653
Mean1.4802867
Median Absolute Deviation (MAD)0
Skewness13.069562
Sum413
Variance80.041876
MonotonicityNot monotonic
2024-03-30T08:53:01.884475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 184
60.9%
1 50
 
16.6%
2 21
 
7.0%
3 8
 
2.6%
4 7
 
2.3%
9 2
 
0.7%
6 2
 
0.7%
136 1
 
0.3%
30 1
 
0.3%
17 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 184
60.9%
1 50
 
16.6%
2 21
 
7.0%
3 8
 
2.6%
4 7
 
2.3%
5 1
 
0.3%
6 2
 
0.7%
9 2
 
0.7%
17 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
136 1
 
0.3%
51 1
 
0.3%
30 1
 
0.3%
17 1
 
0.3%
9 2
 
0.7%
6 2
 
0.7%
5 1
 
0.3%
4 7
 
2.3%
3 8
 
2.6%
2 21
7.0%

2020-11
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)6.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean6.827957
Minimum0
Maximum544
Zeros178
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:02.359601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum544
Range544
Interquartile range (IQR)1

Descriptive statistics

Standard deviation46.552042
Coefficient of variation (CV)6.8178581
Kurtosis98.356205
Mean6.827957
Median Absolute Deviation (MAD)0
Skewness9.5526747
Sum1905
Variance2167.0926
MonotonicityNot monotonic
2024-03-30T08:53:02.782053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 178
58.9%
1 57
 
18.9%
2 20
 
6.6%
3 7
 
2.3%
4 3
 
1.0%
5 2
 
0.7%
200 1
 
0.3%
96 1
 
0.3%
52 1
 
0.3%
71 1
 
0.3%
Other values (8) 8
 
2.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 178
58.9%
1 57
 
18.9%
2 20
 
6.6%
3 7
 
2.3%
4 3
 
1.0%
5 2
 
0.7%
8 1
 
0.3%
10 1
 
0.3%
13 1
 
0.3%
32 1
 
0.3%
ValueCountFrequency (%)
544 1
0.3%
463 1
0.3%
203 1
0.3%
200 1
0.3%
96 1
0.3%
73 1
0.3%
71 1
0.3%
52 1
0.3%
32 1
0.3%
13 1
0.3%

2020-12
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.3405018
Minimum0
Maximum214
Zeros172
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:03.271462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum214
Range214
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.929168
Coefficient of variation (CV)6.3786183
Kurtosis155.76893
Mean2.3405018
Median Absolute Deviation (MAD)0
Skewness11.865666
Sum653
Variance222.88004
MonotonicityNot monotonic
2024-03-30T08:53:03.641444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 172
57.0%
1 53
 
17.5%
2 26
 
8.6%
3 11
 
3.6%
6 3
 
1.0%
4 3
 
1.0%
10 2
 
0.7%
5 2
 
0.7%
214 1
 
0.3%
35 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 172
57.0%
1 53
 
17.5%
2 26
 
8.6%
3 11
 
3.6%
4 3
 
1.0%
5 2
 
0.7%
6 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
10 2
 
0.7%
ValueCountFrequency (%)
214 1
 
0.3%
109 1
 
0.3%
56 1
 
0.3%
35 1
 
0.3%
26 1
 
0.3%
10 2
0.7%
8 1
 
0.3%
7 1
 
0.3%
6 3
1.0%
5 2
0.7%

2021-01
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.3010753
Minimum0
Maximum121
Zeros189
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:04.177417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum121
Range121
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.0082488
Coefficient of variation (CV)6.1551003
Kurtosis184.71538
Mean1.3010753
Median Absolute Deviation (MAD)0
Skewness12.928712
Sum363
Variance64.132049
MonotonicityNot monotonic
2024-03-30T08:53:04.763826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 189
62.6%
1 49
 
16.2%
2 22
 
7.3%
3 8
 
2.6%
4 4
 
1.3%
5 2
 
0.7%
121 1
 
0.3%
31 1
 
0.3%
14 1
 
0.3%
46 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 189
62.6%
1 49
 
16.2%
2 22
 
7.3%
3 8
 
2.6%
4 4
 
1.3%
5 2
 
0.7%
8 1
 
0.3%
14 1
 
0.3%
31 1
 
0.3%
46 1
 
0.3%
ValueCountFrequency (%)
121 1
 
0.3%
46 1
 
0.3%
31 1
 
0.3%
14 1
 
0.3%
8 1
 
0.3%
5 2
 
0.7%
4 4
 
1.3%
3 8
 
2.6%
2 22
7.3%
1 49
16.2%

2021-02
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.5125448
Minimum0
Maximum138
Zeros182
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:05.137960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum138
Range138
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.1890038
Coefficient of variation (CV)6.0751945
Kurtosis179.6194
Mean1.5125448
Median Absolute Deviation (MAD)0
Skewness12.672622
Sum422
Variance84.437792
MonotonicityNot monotonic
2024-03-30T08:53:05.692224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 182
60.3%
1 59
 
19.5%
2 17
 
5.6%
3 8
 
2.6%
5 3
 
1.0%
4 2
 
0.7%
6 2
 
0.7%
138 1
 
0.3%
41 1
 
0.3%
20 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 182
60.3%
1 59
 
19.5%
2 17
 
5.6%
3 8
 
2.6%
4 2
 
0.7%
5 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%
16 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
138 1
 
0.3%
48 1
 
0.3%
41 1
 
0.3%
20 1
 
0.3%
16 1
 
0.3%
7 1
 
0.3%
6 2
 
0.7%
5 3
 
1.0%
4 2
 
0.7%
3 8
2.6%

2021-03
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean3.7849462
Minimum0
Maximum350
Zeros182
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:06.347472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum350
Range350
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.492527
Coefficient of variation (CV)7.5278551
Kurtosis107.39689
Mean3.7849462
Median Absolute Deviation (MAD)0
Skewness10.157925
Sum1056
Variance811.82409
MonotonicityNot monotonic
2024-03-30T08:53:06.963388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 182
60.3%
1 52
 
17.2%
2 16
 
5.3%
3 9
 
3.0%
4 6
 
2.0%
5 4
 
1.3%
6 2
 
0.7%
350 1
 
0.3%
27 1
 
0.3%
28 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 182
60.3%
1 52
 
17.2%
2 16
 
5.3%
3 9
 
3.0%
4 6
 
2.0%
5 4
 
1.3%
6 2
 
0.7%
8 1
 
0.3%
9 1
 
0.3%
12 1
 
0.3%
ValueCountFrequency (%)
350 1
 
0.3%
254 1
 
0.3%
201 1
 
0.3%
28 1
 
0.3%
27 1
 
0.3%
12 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
6 2
0.7%
5 4
1.3%

2021-04
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.3512545
Minimum0
Maximum215
Zeros171
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:07.576049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum215
Range215
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.990693
Coefficient of variation (CV)5.9503099
Kurtosis194.44875
Mean2.3512545
Median Absolute Deviation (MAD)0
Skewness13.143816
Sum656
Variance195.73949
MonotonicityNot monotonic
2024-03-30T08:53:08.050822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 171
56.6%
1 59
 
19.5%
2 11
 
3.6%
3 11
 
3.6%
4 9
 
3.0%
5 5
 
1.7%
33 3
 
1.0%
6 3
 
1.0%
7 2
 
0.7%
215 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 171
56.6%
1 59
 
19.5%
2 11
 
3.6%
3 11
 
3.6%
4 9
 
3.0%
5 5
 
1.7%
6 3
 
1.0%
7 2
 
0.7%
9 1
 
0.3%
26 1
 
0.3%
ValueCountFrequency (%)
215 1
 
0.3%
54 1
 
0.3%
46 1
 
0.3%
33 3
 
1.0%
26 1
 
0.3%
9 1
 
0.3%
7 2
 
0.7%
6 3
 
1.0%
5 5
1.7%
4 9
3.0%

2021-05
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.7383513
Minimum0
Maximum158
Zeros172
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:08.378018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum158
Range158
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.266222
Coefficient of variation (CV)5.9057238
Kurtosis196.83926
Mean1.7383513
Median Absolute Deviation (MAD)0
Skewness13.356933
Sum485
Variance105.39532
MonotonicityNot monotonic
2024-03-30T08:53:08.893593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 172
57.0%
1 58
 
19.2%
2 14
 
4.6%
3 12
 
4.0%
4 8
 
2.6%
5 6
 
2.0%
6 3
 
1.0%
158 1
 
0.3%
35 1
 
0.3%
23 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 172
57.0%
1 58
 
19.2%
2 14
 
4.6%
3 12
 
4.0%
4 8
 
2.6%
5 6
 
2.0%
6 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
23 1
 
0.3%
ValueCountFrequency (%)
158 1
 
0.3%
52 1
 
0.3%
35 1
 
0.3%
23 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 3
 
1.0%
5 6
2.0%
4 8
2.6%
3 12
4.0%

2021-06
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.6523297
Minimum0
Maximum147
Zeros178
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:09.477157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum147
Range147
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.6386654
Coefficient of variation (CV)5.8333788
Kurtosis190.50531
Mean1.6523297
Median Absolute Deviation (MAD)0
Skewness13.113368
Sum461
Variance92.90387
MonotonicityNot monotonic
2024-03-30T08:53:09.952174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 178
58.9%
1 58
 
19.2%
2 13
 
4.3%
3 9
 
3.0%
5 5
 
1.7%
4 5
 
1.7%
7 4
 
1.3%
147 1
 
0.3%
29 1
 
0.3%
9 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 178
58.9%
1 58
 
19.2%
2 13
 
4.3%
3 9
 
3.0%
4 5
 
1.7%
5 5
 
1.7%
6 1
 
0.3%
7 4
 
1.3%
9 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
147 1
 
0.3%
54 1
 
0.3%
29 1
 
0.3%
17 1
 
0.3%
15 1
 
0.3%
9 1
 
0.3%
7 4
1.3%
6 1
 
0.3%
5 5
1.7%
4 5
1.7%

2021-07
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4121864
Minimum0
Maximum129
Zeros187
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:10.515695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum129
Range129
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.3828359
Coefficient of variation (CV)5.9360691
Kurtosis196.71341
Mean1.4121864
Median Absolute Deviation (MAD)0
Skewness13.331308
Sum394
Variance70.271937
MonotonicityNot monotonic
2024-03-30T08:53:11.075575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 187
61.9%
1 49
 
16.2%
2 21
 
7.0%
3 7
 
2.3%
5 3
 
1.0%
9 3
 
1.0%
4 3
 
1.0%
22 2
 
0.7%
6 2
 
0.7%
129 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 187
61.9%
1 49
 
16.2%
2 21
 
7.0%
3 7
 
2.3%
4 3
 
1.0%
5 3
 
1.0%
6 2
 
0.7%
9 3
 
1.0%
22 2
 
0.7%
43 1
 
0.3%
ValueCountFrequency (%)
129 1
 
0.3%
43 1
 
0.3%
22 2
 
0.7%
9 3
 
1.0%
6 2
 
0.7%
5 3
 
1.0%
4 3
 
1.0%
3 7
 
2.3%
2 21
7.0%
1 49
16.2%

2021-08
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4946237
Minimum0
Maximum138
Zeros186
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:11.418466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum138
Range138
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.9683179
Coefficient of variation (CV)6.0003854
Kurtosis196.55208
Mean1.4946237
Median Absolute Deviation (MAD)0
Skewness13.323067
Sum417
Variance80.430726
MonotonicityNot monotonic
2024-03-30T08:53:11.990762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 186
61.6%
1 49
 
16.2%
2 18
 
6.0%
3 10
 
3.3%
4 4
 
1.3%
6 2
 
0.7%
7 2
 
0.7%
5 2
 
0.7%
138 1
 
0.3%
33 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 186
61.6%
1 49
 
16.2%
2 18
 
6.0%
3 10
 
3.3%
4 4
 
1.3%
5 2
 
0.7%
6 2
 
0.7%
7 2
 
0.7%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
138 1
 
0.3%
43 1
 
0.3%
33 1
 
0.3%
19 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 2
0.7%
6 2
0.7%
5 2
0.7%
4 4
1.3%

2021-09
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.3655914
Minimum0
Maximum125
Zeros189
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:12.452355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum125
Range125
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.2188391
Coefficient of variation (CV)6.0185199
Kurtosis188.92795
Mean1.3655914
Median Absolute Deviation (MAD)0
Skewness13.061617
Sum381
Variance67.549315
MonotonicityNot monotonic
2024-03-30T08:53:12.994532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 189
62.6%
1 52
 
17.2%
2 15
 
5.0%
4 7
 
2.3%
3 7
 
2.3%
5 2
 
0.7%
125 1
 
0.3%
20 1
 
0.3%
22 1
 
0.3%
47 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 189
62.6%
1 52
 
17.2%
2 15
 
5.0%
3 7
 
2.3%
4 7
 
2.3%
5 2
 
0.7%
6 1
 
0.3%
8 1
 
0.3%
12 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
125 1
 
0.3%
47 1
 
0.3%
22 1
 
0.3%
20 1
 
0.3%
12 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 7
2.3%
3 7
2.3%

2021-10
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.3261649
Minimum0
Maximum121
Zeros194
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:13.339343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.1
Maximum121
Range121
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.8601351
Coefficient of variation (CV)5.9269667
Kurtosis196.78955
Mean1.3261649
Median Absolute Deviation (MAD)0
Skewness13.324755
Sum370
Variance61.781723
MonotonicityNot monotonic
2024-03-30T08:53:13.715332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 194
64.2%
1 40
 
13.2%
2 20
 
6.6%
3 11
 
3.6%
4 5
 
1.7%
5 2
 
0.7%
121 1
 
0.3%
23 1
 
0.3%
21 1
 
0.3%
7 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 194
64.2%
1 40
 
13.2%
2 20
 
6.6%
3 11
 
3.6%
4 5
 
1.7%
5 2
 
0.7%
6 1
 
0.3%
7 1
 
0.3%
10 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
121 1
 
0.3%
39 1
 
0.3%
23 1
 
0.3%
21 1
 
0.3%
10 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 5
1.7%
3 11
3.6%

2021-11
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.3548387
Minimum0
Maximum123
Zeros183
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:14.082541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum123
Range123
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.9390373
Coefficient of variation (CV)5.8597656
Kurtosis201.68809
Mean1.3548387
Median Absolute Deviation (MAD)0
Skewness13.527721
Sum378
Variance63.028313
MonotonicityNot monotonic
2024-03-30T08:53:14.463968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 183
60.6%
1 53
 
17.5%
2 19
 
6.3%
3 11
 
3.6%
4 3
 
1.0%
8 2
 
0.7%
5 2
 
0.7%
123 1
 
0.3%
19 1
 
0.3%
22 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 183
60.6%
1 53
 
17.5%
2 19
 
6.3%
3 11
 
3.6%
4 3
 
1.0%
5 2
 
0.7%
6 1
 
0.3%
7 1
 
0.3%
8 2
 
0.7%
19 1
 
0.3%
ValueCountFrequency (%)
123 1
 
0.3%
39 1
 
0.3%
22 1
 
0.3%
19 1
 
0.3%
8 2
 
0.7%
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 3
 
1.0%
3 11
3.6%

2021-12
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)6.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.3691756
Minimum0
Maximum408
Zeros203
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:14.821788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum408
Range408
Interquartile range (IQR)1

Descriptive statistics

Standard deviation29.010602
Coefficient of variation (CV)6.6398342
Kurtosis139.26138
Mean4.3691756
Median Absolute Deviation (MAD)0
Skewness10.862606
Sum1219
Variance841.61502
MonotonicityNot monotonic
2024-03-30T08:53:15.220441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 203
67.2%
1 39
 
12.9%
2 16
 
5.3%
4 5
 
1.7%
3 3
 
1.0%
5 2
 
0.7%
141 1
 
0.3%
126 1
 
0.3%
17 1
 
0.3%
97 1
 
0.3%
Other values (7) 7
 
2.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 203
67.2%
1 39
 
12.9%
2 16
 
5.3%
3 3
 
1.0%
4 5
 
1.7%
5 2
 
0.7%
6 1
 
0.3%
7 1
 
0.3%
17 1
 
0.3%
41 1
 
0.3%
ValueCountFrequency (%)
408 1
0.3%
141 1
0.3%
126 1
0.3%
122 1
0.3%
97 1
0.3%
79 1
0.3%
65 1
0.3%
41 1
0.3%
17 1
0.3%
7 1
0.3%

2022-01
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.781362
Minimum0
Maximum168
Zeros211
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:15.612815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum168
Range168
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.727309
Coefficient of variation (CV)7.1447068
Kurtosis122.0505
Mean1.781362
Median Absolute Deviation (MAD)0
Skewness10.605287
Sum497
Variance161.9844
MonotonicityNot monotonic
2024-03-30T08:53:15.941941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 211
69.9%
1 40
 
13.2%
2 13
 
4.3%
3 4
 
1.3%
4 3
 
1.0%
5 3
 
1.0%
168 1
 
0.3%
98 1
 
0.3%
83 1
 
0.3%
18 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 211
69.9%
1 40
 
13.2%
2 13
 
4.3%
3 4
 
1.3%
4 3
 
1.0%
5 3
 
1.0%
18 1
 
0.3%
25 1
 
0.3%
83 1
 
0.3%
98 1
 
0.3%
ValueCountFrequency (%)
168 1
 
0.3%
98 1
 
0.3%
83 1
 
0.3%
25 1
 
0.3%
18 1
 
0.3%
5 3
 
1.0%
4 3
 
1.0%
3 4
 
1.3%
2 13
 
4.3%
1 40
13.2%

2022-02
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean0.89605735
Minimum0
Maximum85
Zeros210
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:16.364946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.53926
Coefficient of variation (CV)6.1818142
Kurtosis195.35564
Mean0.89605735
Median Absolute Deviation (MAD)0
Skewness13.306556
Sum250
Variance30.683402
MonotonicityNot monotonic
2024-03-30T08:53:16.667722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 210
69.5%
1 39
 
12.9%
2 18
 
6.0%
5 3
 
1.0%
4 3
 
1.0%
3 2
 
0.7%
85 1
 
0.3%
11 1
 
0.3%
16 1
 
0.3%
30 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 210
69.5%
1 39
 
12.9%
2 18
 
6.0%
3 2
 
0.7%
4 3
 
1.0%
5 3
 
1.0%
11 1
 
0.3%
16 1
 
0.3%
30 1
 
0.3%
85 1
 
0.3%
ValueCountFrequency (%)
85 1
 
0.3%
30 1
 
0.3%
16 1
 
0.3%
11 1
 
0.3%
5 3
 
1.0%
4 3
 
1.0%
3 2
 
0.7%
2 18
 
6.0%
1 39
 
12.9%
0 210
69.5%

2022-03
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.1397849
Minimum0
Maximum107
Zeros204
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:17.011225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.1
Maximum107
Range107
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.9389808
Coefficient of variation (CV)6.0879737
Kurtosis198.13575
Mean1.1397849
Median Absolute Deviation (MAD)0
Skewness13.366571
Sum318
Variance48.149455
MonotonicityNot monotonic
2024-03-30T08:53:17.454016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 204
67.5%
1 39
 
12.9%
2 18
 
6.0%
4 5
 
1.7%
3 4
 
1.3%
5 2
 
0.7%
7 2
 
0.7%
107 1
 
0.3%
23 1
 
0.3%
15 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 204
67.5%
1 39
 
12.9%
2 18
 
6.0%
3 4
 
1.3%
4 5
 
1.7%
5 2
 
0.7%
7 2
 
0.7%
9 1
 
0.3%
15 1
 
0.3%
23 1
 
0.3%
ValueCountFrequency (%)
107 1
 
0.3%
33 1
 
0.3%
23 1
 
0.3%
15 1
 
0.3%
9 1
 
0.3%
7 2
 
0.7%
5 2
 
0.7%
4 5
 
1.7%
3 4
 
1.3%
2 18
6.0%

2022-04
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4946237
Minimum0
Maximum133
Zeros184
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:17.931648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum133
Range133
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.7070099
Coefficient of variation (CV)5.8255534
Kurtosis191.89165
Mean1.4946237
Median Absolute Deviation (MAD)0
Skewness13.176136
Sum417
Variance75.812021
MonotonicityNot monotonic
2024-03-30T08:53:18.315376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 184
60.9%
1 51
 
16.9%
2 16
 
5.3%
3 13
 
4.3%
4 4
 
1.3%
10 3
 
1.0%
5 2
 
0.7%
133 1
 
0.3%
20 1
 
0.3%
16 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 184
60.9%
1 51
 
16.9%
2 16
 
5.3%
3 13
 
4.3%
4 4
 
1.3%
5 2
 
0.7%
8 1
 
0.3%
10 3
 
1.0%
12 1
 
0.3%
16 1
 
0.3%
ValueCountFrequency (%)
133 1
 
0.3%
50 1
 
0.3%
20 1
 
0.3%
16 1
 
0.3%
12 1
 
0.3%
10 3
 
1.0%
8 1
 
0.3%
5 2
 
0.7%
4 4
 
1.3%
3 13
4.3%

2022-05
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.7383513
Minimum0
Maximum156
Zeros171
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:18.746679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum156
Range156
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.269726
Coefficient of variation (CV)5.9077391
Kurtosis188.57305
Mean1.7383513
Median Absolute Deviation (MAD)0
Skewness13.078453
Sum485
Variance105.46726
MonotonicityNot monotonic
2024-03-30T08:53:19.254677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 171
56.6%
1 65
 
21.5%
2 13
 
4.3%
3 9
 
3.0%
4 8
 
2.6%
5 4
 
1.3%
10 2
 
0.7%
156 1
 
0.3%
24 1
 
0.3%
18 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 171
56.6%
1 65
 
21.5%
2 13
 
4.3%
3 9
 
3.0%
4 8
 
2.6%
5 4
 
1.3%
6 1
 
0.3%
10 2
 
0.7%
14 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
156 1
 
0.3%
62 1
 
0.3%
24 1
 
0.3%
18 1
 
0.3%
15 1
 
0.3%
14 1
 
0.3%
10 2
 
0.7%
6 1
 
0.3%
5 4
1.3%
4 8
2.6%

2022-06
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.4623656
Minimum0
Maximum133
Zeros188
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:19.676648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum133
Range133
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.6970091
Coefficient of variation (CV)5.9472194
Kurtosis191.73478
Mean1.4623656
Median Absolute Deviation (MAD)0
Skewness13.113504
Sum408
Variance75.637967
MonotonicityNot monotonic
2024-03-30T08:53:20.204223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 188
62.3%
1 52
 
17.2%
2 12
 
4.0%
3 12
 
4.0%
4 5
 
1.7%
5 2
 
0.7%
133 1
 
0.3%
33 1
 
0.3%
17 1
 
0.3%
15 1
 
0.3%
Other values (4) 4
 
1.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 188
62.3%
1 52
 
17.2%
2 12
 
4.0%
3 12
 
4.0%
4 5
 
1.7%
5 2
 
0.7%
7 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
133 1
 
0.3%
42 1
 
0.3%
33 1
 
0.3%
17 1
 
0.3%
15 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 5
1.7%

2022-07
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.0645161
Minimum0
Maximum100
Zeros200
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:20.774704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum100
Range100
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.5741041
Coefficient of variation (CV)6.1756735
Kurtosis190.14745
Mean1.0645161
Median Absolute Deviation (MAD)0
Skewness13.163361
Sum297
Variance43.218844
MonotonicityNot monotonic
2024-03-30T08:53:21.108153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 200
66.2%
1 46
 
15.2%
2 14
 
4.6%
3 10
 
3.3%
4 4
 
1.3%
100 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
40 1
 
0.3%
9 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 200
66.2%
1 46
 
15.2%
2 14
 
4.6%
3 10
 
3.3%
4 4
 
1.3%
9 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
40 1
 
0.3%
100 1
 
0.3%
ValueCountFrequency (%)
100 1
 
0.3%
40 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
4 4
 
1.3%
3 10
 
3.3%
2 14
 
4.6%
1 46
 
15.2%
0 200
66.2%

2022-08
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.1111111
Minimum0
Maximum103
Zeros200
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:21.646704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum103
Range103
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.6596486
Coefficient of variation (CV)5.9936837
Kurtosis200.70045
Mean1.1111111
Median Absolute Deviation (MAD)0
Skewness13.489243
Sum310
Variance44.350919
MonotonicityNot monotonic
2024-03-30T08:53:22.378871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 200
66.2%
1 44
 
14.6%
2 16
 
5.3%
3 7
 
2.3%
4 3
 
1.0%
5 2
 
0.7%
103 1
 
0.3%
17 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 200
66.2%
1 44
 
14.6%
2 16
 
5.3%
3 7
 
2.3%
4 3
 
1.0%
5 2
 
0.7%
7 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
ValueCountFrequency (%)
103 1
 
0.3%
34 1
 
0.3%
17 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 3
1.0%
3 7
2.3%

2022-09
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.1146953
Minimum0
Maximum102
Zeros209
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:22.952737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile3
Maximum102
Range102
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation6.7141882
Coefficient of variation (CV)6.0233392
Kurtosis187.14161
Mean1.1146953
Median Absolute Deviation (MAD)0
Skewness12.920534
Sum311
Variance45.080323
MonotonicityNot monotonic
2024-03-30T08:53:23.453090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 209
69.2%
1 39
 
12.9%
2 11
 
3.6%
3 7
 
2.3%
4 3
 
1.0%
6 2
 
0.7%
7 2
 
0.7%
102 1
 
0.3%
19 1
 
0.3%
5 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 209
69.2%
1 39
 
12.9%
2 11
 
3.6%
3 7
 
2.3%
4 3
 
1.0%
5 1
 
0.3%
6 2
 
0.7%
7 2
 
0.7%
10 1
 
0.3%
19 1
 
0.3%
ValueCountFrequency (%)
102 1
 
0.3%
35 1
 
0.3%
20 1
 
0.3%
19 1
 
0.3%
10 1
 
0.3%
7 2
 
0.7%
6 2
 
0.7%
5 1
 
0.3%
4 3
1.0%
3 7
2.3%

2022-10
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean0.82795699
Minimum0
Maximum81
Zeros213
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:24.020993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2627857
Coefficient of variation (CV)6.3563516
Kurtosis198.45291
Mean0.82795699
Median Absolute Deviation (MAD)0
Skewness13.466512
Sum231
Variance27.696913
MonotonicityNot monotonic
2024-03-30T08:53:24.624302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 213
70.5%
1 42
 
13.9%
2 11
 
3.6%
3 4
 
1.3%
5 3
 
1.0%
81 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
30 1
 
0.3%
6 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 213
70.5%
1 42
 
13.9%
2 11
 
3.6%
3 4
 
1.3%
4 1
 
0.3%
5 3
 
1.0%
6 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
81 1
 
0.3%
30 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
5 3
 
1.0%
4 1
 
0.3%
3 4
 
1.3%
2 11
 
3.6%
1 42
13.9%

2022-11
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean0.97132616
Minimum0
Maximum90
Zeros205
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:25.229025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum90
Range90
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.8548912
Coefficient of variation (CV)6.0277293
Kurtosis196.52752
Mean0.97132616
Median Absolute Deviation (MAD)0
Skewness13.351261
Sum271
Variance34.27975
MonotonicityNot monotonic
2024-03-30T08:53:25.719899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 205
67.9%
1 42
 
13.9%
2 15
 
5.0%
3 8
 
2.6%
4 2
 
0.7%
90 1
 
0.3%
10 1
 
0.3%
15 1
 
0.3%
32 1
 
0.3%
5 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 205
67.9%
1 42
 
13.9%
2 15
 
5.0%
3 8
 
2.6%
4 2
 
0.7%
5 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
10 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
90 1
 
0.3%
32 1
 
0.3%
15 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
4 2
 
0.7%
3 8
2.6%
2 15
5.0%

2022-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean0.91039427
Minimum0
Maximum85
Zeros205
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:26.108233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum85
Range85
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.4846942
Coefficient of variation (CV)6.0245263
Kurtosis202.69046
Mean0.91039427
Median Absolute Deviation (MAD)0
Skewness13.596997
Sum254
Variance30.08187
MonotonicityNot monotonic
2024-03-30T08:53:26.492396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 205
67.9%
1 44
 
14.6%
2 14
 
4.6%
3 5
 
1.7%
4 4
 
1.3%
5 2
 
0.7%
85 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
29 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 205
67.9%
1 44
 
14.6%
2 14
 
4.6%
3 5
 
1.7%
4 4
 
1.3%
5 2
 
0.7%
6 1
 
0.3%
8 1
 
0.3%
13 1
 
0.3%
29 1
 
0.3%
ValueCountFrequency (%)
85 1
 
0.3%
29 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 4
 
1.3%
3 5
 
1.7%
2 14
 
4.6%
1 44
14.6%

2023-01
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean0.62007168
Minimum0
Maximum57
Zeros221
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:26.814561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7540039
Coefficient of variation (CV)6.054145
Kurtosis187.96435
Mean0.62007168
Median Absolute Deviation (MAD)0
Skewness13.013566
Sum173
Variance14.092545
MonotonicityNot monotonic
2024-03-30T08:53:27.204693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 221
73.2%
1 40
 
13.2%
2 10
 
3.3%
7 2
 
0.7%
57 1
 
0.3%
22 1
 
0.3%
3 1
 
0.3%
8 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 221
73.2%
1 40
 
13.2%
2 10
 
3.3%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
7 2
 
0.7%
8 1
 
0.3%
22 1
 
0.3%
57 1
 
0.3%
ValueCountFrequency (%)
57 1
 
0.3%
22 1
 
0.3%
8 1
 
0.3%
7 2
 
0.7%
5 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 10
 
3.3%
1 40
 
13.2%
0 221
73.2%

2023-02
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.1469534
Minimum0
Maximum109
Zeros212
Zeros (%)70.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:27.823103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum109
Range109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.9415524
Coefficient of variation (CV)6.924041
Kurtosis139.08116
Mean1.1469534
Median Absolute Deviation (MAD)0
Skewness11.328242
Sum320
Variance63.068255
MonotonicityNot monotonic
2024-03-30T08:53:28.153028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 212
70.2%
1 43
 
14.2%
2 13
 
4.3%
3 5
 
1.7%
109 1
 
0.3%
8 1
 
0.3%
11 1
 
0.3%
65 1
 
0.3%
38 1
 
0.3%
5 1
 
0.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 212
70.2%
1 43
 
14.2%
2 13
 
4.3%
3 5
 
1.7%
5 1
 
0.3%
8 1
 
0.3%
11 1
 
0.3%
38 1
 
0.3%
65 1
 
0.3%
109 1
 
0.3%
ValueCountFrequency (%)
109 1
 
0.3%
65 1
 
0.3%
38 1
 
0.3%
11 1
 
0.3%
8 1
 
0.3%
5 1
 
0.3%
3 5
 
1.7%
2 13
 
4.3%
1 43
 
14.2%
0 212
70.2%

2023-03
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.0967742
Minimum0
Maximum100
Zeros198
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:28.526719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum100
Range100
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.5963766
Coefficient of variation (CV)6.0143433
Kurtosis187.76456
Mean1.0967742
Median Absolute Deviation (MAD)0
Skewness13.073018
Sum306
Variance43.512184
MonotonicityNot monotonic
2024-03-30T08:53:28.977046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 198
65.6%
1 44
 
14.6%
2 19
 
6.3%
3 7
 
2.3%
4 4
 
1.3%
100 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
41 1
 
0.3%
5 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 198
65.6%
1 44
 
14.6%
2 19
 
6.3%
3 7
 
2.3%
4 4
 
1.3%
5 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
100 1
 
0.3%
41 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 4
 
1.3%
3 7
 
2.3%
2 19
6.3%

2023-04
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean1.1433692
Minimum0
Maximum106
Zeros202
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:29.329453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum106
Range106
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.9671029
Coefficient of variation (CV)6.093485
Kurtosis190.00678
Mean1.1433692
Median Absolute Deviation (MAD)0
Skewness13.140209
Sum319
Variance48.540522
MonotonicityNot monotonic
2024-03-30T08:53:30.030175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 202
66.9%
1 40
 
13.2%
2 19
 
6.3%
4 7
 
2.3%
5 3
 
1.0%
3 2
 
0.7%
106 1
 
0.3%
15 1
 
0.3%
14 1
 
0.3%
42 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 202
66.9%
1 40
 
13.2%
2 19
 
6.3%
3 2
 
0.7%
4 7
 
2.3%
5 3
 
1.0%
6 1
 
0.3%
9 1
 
0.3%
14 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
106 1
 
0.3%
42 1
 
0.3%
15 1
 
0.3%
14 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
5 3
 
1.0%
4 7
 
2.3%
3 2
 
0.7%
2 19
6.3%

2023-05
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean2.125448
Minimum0
Maximum194
Zeros190
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:30.400620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum194
Range194
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.525419
Coefficient of variation (CV)6.8340505
Kurtosis129.25327
Mean2.125448
Median Absolute Deviation (MAD)0
Skewness10.962038
Sum593
Variance210.9878
MonotonicityNot monotonic
2024-03-30T08:53:30.953915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 190
62.9%
1 46
 
15.2%
2 14
 
4.6%
3 12
 
4.0%
4 9
 
3.0%
5 2
 
0.7%
194 1
 
0.3%
18 1
 
0.3%
17 1
 
0.3%
123 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 190
62.9%
1 46
 
15.2%
2 14
 
4.6%
3 12
 
4.0%
4 9
 
3.0%
5 2
 
0.7%
7 1
 
0.3%
17 1
 
0.3%
18 1
 
0.3%
78 1
 
0.3%
ValueCountFrequency (%)
194 1
 
0.3%
123 1
 
0.3%
78 1
 
0.3%
18 1
 
0.3%
17 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 9
3.0%
3 12
4.0%
2 14
4.6%

2023-06
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.4%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean1.3786765
Minimum0
Maximum122
Zeros178
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:31.578514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum122
Range122
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.0675187
Coefficient of variation (CV)5.8516402
Kurtosis189.18785
Mean1.3786765
Median Absolute Deviation (MAD)0
Skewness13.124656
Sum375
Variance65.084857
MonotonicityNot monotonic
2024-03-30T08:53:31.943664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 178
58.9%
1 52
 
17.2%
2 17
 
5.6%
3 10
 
3.3%
4 5
 
1.7%
5 3
 
1.0%
6 2
 
0.7%
122 1
 
0.3%
21 1
 
0.3%
14 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 178
58.9%
1 52
 
17.2%
2 17
 
5.6%
3 10
 
3.3%
4 5
 
1.7%
5 3
 
1.0%
6 2
 
0.7%
9 1
 
0.3%
14 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
122 1
 
0.3%
46 1
 
0.3%
21 1
 
0.3%
14 1
 
0.3%
9 1
 
0.3%
6 2
 
0.7%
5 3
 
1.0%
4 5
 
1.7%
3 10
3.3%
2 17
5.6%

2023-07
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.4%
Missing27
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.2509091
Minimum0
Maximum112
Zeros190
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:32.372906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.3
Maximum112
Range112
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.5041807
Coefficient of variation (CV)5.9989816
Kurtosis180.16296
Mean1.2509091
Median Absolute Deviation (MAD)0
Skewness12.81936
Sum344
Variance56.312727
MonotonicityNot monotonic
2024-03-30T08:53:32.925481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 190
62.9%
1 47
 
15.6%
2 14
 
4.6%
3 10
 
3.3%
4 7
 
2.3%
112 1
 
0.3%
17 1
 
0.3%
14 1
 
0.3%
49 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 27
 
8.9%
ValueCountFrequency (%)
0 190
62.9%
1 47
 
15.6%
2 14
 
4.6%
3 10
 
3.3%
4 7
 
2.3%
5 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
14 1
 
0.3%
17 1
 
0.3%
ValueCountFrequency (%)
112 1
 
0.3%
49 1
 
0.3%
17 1
 
0.3%
14 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 7
2.3%
3 10
3.3%
2 14
4.6%

2023-08
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.1223022
Minimum0
Maximum104
Zeros198
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:33.438405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum104
Range104
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.8957795
Coefficient of variation (CV)6.1443164
Kurtosis184.89201
Mean1.1223022
Median Absolute Deviation (MAD)0
Skewness12.9605
Sum312
Variance47.551775
MonotonicityNot monotonic
2024-03-30T08:53:34.028369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 198
65.6%
1 47
 
15.6%
2 16
 
5.3%
3 6
 
2.0%
4 3
 
1.0%
5 2
 
0.7%
104 1
 
0.3%
15 1
 
0.3%
16 1
 
0.3%
43 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 198
65.6%
1 47
 
15.6%
2 16
 
5.3%
3 6
 
2.0%
4 3
 
1.0%
5 2
 
0.7%
7 1
 
0.3%
8 1
 
0.3%
15 1
 
0.3%
16 1
 
0.3%
ValueCountFrequency (%)
104 1
 
0.3%
43 1
 
0.3%
16 1
 
0.3%
15 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 3
 
1.0%
3 6
 
2.0%
2 16
5.3%

2023-09
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.1330935
Minimum0
Maximum103
Zeros192
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:34.389616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum103
Range103
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.8327296
Coefficient of variation (CV)6.030155
Kurtosis184.55912
Mean1.1330935
Median Absolute Deviation (MAD)0
Skewness12.952408
Sum315
Variance46.686193
MonotonicityNot monotonic
2024-03-30T08:53:34.801069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 192
63.6%
1 58
 
19.2%
3 9
 
3.0%
2 7
 
2.3%
4 4
 
1.3%
7 2
 
0.7%
5 2
 
0.7%
103 1
 
0.3%
16 1
 
0.3%
14 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 192
63.6%
1 58
 
19.2%
2 7
 
2.3%
3 9
 
3.0%
4 4
 
1.3%
5 2
 
0.7%
7 2
 
0.7%
14 1
 
0.3%
16 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
103 1
 
0.3%
43 1
 
0.3%
16 1
 
0.3%
14 1
 
0.3%
7 2
 
0.7%
5 2
 
0.7%
4 4
 
1.3%
3 9
 
3.0%
2 7
 
2.3%
1 58
19.2%

2023-10
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.2266187
Minimum0
Maximum112
Zeros191
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:35.311045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.15
Maximum112
Range112
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.3584655
Coefficient of variation (CV)5.9989836
Kurtosis191.11293
Mean1.2266187
Median Absolute Deviation (MAD)0
Skewness13.210327
Sum341
Variance54.147015
MonotonicityNot monotonic
2024-03-30T08:53:35.653704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 191
63.2%
1 50
 
16.6%
2 15
 
5.0%
3 8
 
2.6%
4 4
 
1.3%
5 3
 
1.0%
7 2
 
0.7%
112 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 191
63.2%
1 50
 
16.6%
2 15
 
5.0%
3 8
 
2.6%
4 4
 
1.3%
5 3
 
1.0%
7 2
 
0.7%
8 1
 
0.3%
13 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
112 1
 
0.3%
45 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%
7 2
 
0.7%
5 3
 
1.0%
4 4
 
1.3%
3 8
2.6%
2 15
5.0%

2023-11
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.1654676
Minimum0
Maximum108
Zeros193
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:36.036019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum108
Range108
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.0854477
Coefficient of variation (CV)6.079489
Kurtosis191.8258
Mean1.1654676
Median Absolute Deviation (MAD)0
Skewness13.21827
Sum324
Variance50.203569
MonotonicityNot monotonic
2024-03-30T08:53:36.556758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 193
63.9%
1 53
 
17.5%
3 11
 
3.6%
2 10
 
3.3%
4 3
 
1.0%
108 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
42 1
 
0.3%
7 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 193
63.9%
1 53
 
17.5%
2 10
 
3.3%
3 11
 
3.6%
4 3
 
1.0%
5 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
108 1
 
0.3%
42 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 3
 
1.0%
3 11
3.6%

2023-12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.0755396
Minimum0
Maximum98
Zeros199
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:37.059974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum98
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.4677522
Coefficient of variation (CV)6.0134953
Kurtosis187.96937
Mean1.0755396
Median Absolute Deviation (MAD)0
Skewness13.08348
Sum299
Variance41.831818
MonotonicityNot monotonic
2024-03-30T08:53:37.537784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 199
65.9%
1 46
 
15.2%
2 11
 
3.6%
3 10
 
3.3%
4 5
 
1.7%
5 2
 
0.7%
98 1
 
0.3%
15 1
 
0.3%
11 1
 
0.3%
40 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 199
65.9%
1 46
 
15.2%
2 11
 
3.6%
3 10
 
3.3%
4 5
 
1.7%
5 2
 
0.7%
7 1
 
0.3%
11 1
 
0.3%
15 1
 
0.3%
40 1
 
0.3%
ValueCountFrequency (%)
98 1
 
0.3%
40 1
 
0.3%
15 1
 
0.3%
11 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 5
 
1.7%
3 10
 
3.3%
2 11
 
3.6%
1 46
15.2%

2024-01
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.1366906
Minimum0
Maximum104
Zeros196
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T08:53:38.125243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.15
Maximum104
Range104
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.8345073
Coefficient of variation (CV)6.0126362
Kurtosis190.65274
Mean1.1366906
Median Absolute Deviation (MAD)0
Skewness13.177634
Sum316
Variance46.71049
MonotonicityNot monotonic
2024-03-30T08:53:38.556501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 196
64.9%
1 44
 
14.6%
2 19
 
6.3%
4 7
 
2.3%
3 5
 
1.7%
5 2
 
0.7%
104 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
41 1
 
0.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 196
64.9%
1 44
 
14.6%
2 19
 
6.3%
3 5
 
1.7%
4 7
 
2.3%
5 2
 
0.7%
7 1
 
0.3%
13 1
 
0.3%
16 1
 
0.3%
41 1
 
0.3%
ValueCountFrequency (%)
104 1
 
0.3%
41 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
7 1
 
0.3%
5 2
 
0.7%
4 7
 
2.3%
3 5
 
1.7%
2 19
6.3%
1 44
14.6%

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
0전국203983114164708810448475875462811242384054228364111837924333494044375231632319234881166716785641077184746343541024541525344447662384559628959576646464783574664101595863629853638139101486274102554657826412863728298881221018293127941109710511411613212318611294118114126787410711311413214213311214630813310310612511820014717917328410017816822311022716117112922015513216314719312416793148116194225117138125133145125126130257111170175150374136544214121138350215158147129138125121123408168851071331561331001031028190855710910010619412211210410311210898104
1서울811616510146291323172334199912317179154231997121411102619201730101197711172123262525672818233416162213142521161020231313191921211719141615211817131712161222111613281410121824341413141919792927253227652721333027492623454165478038243036452319243043413748416042424043335093437344681838654333118597524833242362930262223252622333123263337312927185224740402830323531412733352922332023191798112320243315171991013781315182117151614161516
2서울 종로구1110131222011010010001111141011110101101101111111001211171001101021211001150101111101000110011113501101422121121011291211114111132121122121181111011111242142110122000101114522142114322222124202211110102120001000011010000111
3서울 중구0048512117110211010020133011700001031000000101021100211113101000150111111113001101000100100000121011125101110220111201121243111111111223422711107040221111262161265111232635010111114131113212111111004114001183001111001010112111010121
4서울 용산구2022320122221112101010111110111111000113222323211111121101221021121111220112121110118213221112122222322233222234433323241222233453341222425441122462223332211142231221321221222224222235411213222111312101110010111111011
5서울 성동구0011001011110000010000000010100000000012111111010100000010000110111001110300000002010101110001011202111011111131312111120001202212333111323231111112101012101002021101111210212101510100100000010011110000010010111101000
6서울 광진구<NA>110110101110010000000000000111000000010000111000000010000010001000100000000001110000000100000010301011011010101110211111001120111121001111110111060101110000011110100100111001011101112120111110030001000010000001000110
7서울 동대문구0010100000101100100000001000000010000000000010100100000000000000010000000000000000000001100100000000010001001011111200011011101101220010211110101110100111210000001011101110001102110111000000000001101000100000101000010
8서울 중랑구<NA><NA>00000000100010000000000001000000000000000000000000000400100000000000000000000001000000000000000210000000000000001011100010001100121000000200001100000011000010000110000000012000000010111001001000000000100000000000000
9서울 성북구<NA>000101111100001110101101001210010301011111011001010000200100012011200210001010012110000100000100110110101100011122111101011112211121001122101111131110411102010110110112111122312111011111011110003110110000011001001001
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>0000000000000000000000000000000000000000000000<NA><NA>00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
293경남 합천군<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00000000000000000000000000000000000000000000000000000000000001000000000000000000000<NA>000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
294(구)제주111401000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)제주시000000000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)서귀포시011000000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)북제주군000001000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)남제주군000400000000000000000000000000000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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>00010013000000000020001001001000100000210001101001011112011115111131738423925232214478997118642613129191373915128301310642489988121112661081038567617847986612811678871079771022344221243342322234362533465546457735931593542342234453313344
300제주시<NA><NA><NA><NA><NA><NA>0001001300000000001000000100100000000010000100100000110201011500091727422923231214467876107632555514952235613643218465758116527571534431212376545786445585345611233111132232211133251321234224235524721472431221112332212232
301서귀포시<NA><NA><NA><NA><NA><NA><NA><NA>00000000000000001000000000000000000000000010000000000100100010140101011020010001101211000007755421711731776326434134062333423233257342212713134222263341110211111111110110111122112132222221122121111121122221100113