Overview

Dataset statistics

Number of variables310
Number of observations63
Missing cells3600
Missing cells (%)18.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory171.7 KiB
Average record size in memory2.7 KiB

Variable types

Text1
Numeric237
Categorical69
Unsupported3

Dataset

Description2020년 화성시 포도 스마트팜 데이터 입니다. 일별 관수량 정보를 제공합니다. 2020년 1월 1일 부터 12월 31일 까지의 관수량 정보를 포함합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15097766/fileData.do

Alerts

2020-12-31 is highly imbalanced (71.4%)Imbalance
2020-12-30 is highly imbalanced (75.2%)Imbalance
2020-12-29 is highly imbalanced (79.7%)Imbalance
2020-12-28 is highly imbalanced (71.4%)Imbalance
2020-12-27 is highly imbalanced (75.2%)Imbalance
2020-12-26 is highly imbalanced (74.6%)Imbalance
2020-12-25 is highly imbalanced (74.6%)Imbalance
2020-12-24 is highly imbalanced (82.4%)Imbalance
2020-12-23 is highly imbalanced (85.2%)Imbalance
2020-12-22 is highly imbalanced (82.4%)Imbalance
2020-12-21 is highly imbalanced (74.6%)Imbalance
2020-12-20 is highly imbalanced (78.2%)Imbalance
2020-12-19 is highly imbalanced (82.4%)Imbalance
2020-12-18 is highly imbalanced (78.2%)Imbalance
2020-12-17 is highly imbalanced (82.4%)Imbalance
2020-12-16 is highly imbalanced (79.8%)Imbalance
2020-12-15 is highly imbalanced (79.8%)Imbalance
2020-12-14 is highly imbalanced (82.4%)Imbalance
2020-12-13 is highly imbalanced (79.8%)Imbalance
2020-12-12 is highly imbalanced (77.4%)Imbalance
2020-12-11 is highly imbalanced (82.4%)Imbalance
2020-12-10 is highly imbalanced (82.4%)Imbalance
2020-12-09 is highly imbalanced (78.2%)Imbalance
2020-12-08 is highly imbalanced (82.4%)Imbalance
2020-12-07 is highly imbalanced (82.4%)Imbalance
2020-12-06 is highly imbalanced (82.4%)Imbalance
2020-12-05 is highly imbalanced (79.8%)Imbalance
2020-12-04 is highly imbalanced (78.2%)Imbalance
2020-12-03 is highly imbalanced (82.4%)Imbalance
2020-12-02 is highly imbalanced (82.4%)Imbalance
2020-12-01 is highly imbalanced (77.4%)Imbalance
2020-11-30 is highly imbalanced (79.8%)Imbalance
2020-11-29 is highly imbalanced (79.8%)Imbalance
2020-11-28 is highly imbalanced (85.2%)Imbalance
2020-11-27 is highly imbalanced (77.4%)Imbalance
2020-11-25 is highly imbalanced (76.2%)Imbalance
2020-11-24 is highly imbalanced (82.4%)Imbalance
2020-11-23 is highly imbalanced (74.2%)Imbalance
2020-11-21 is highly imbalanced (76.2%)Imbalance
2020-11-20 is highly imbalanced (74.2%)Imbalance
2020-11-19 is highly imbalanced (75.2%)Imbalance
2020-11-18 is highly imbalanced (73.1%)Imbalance
2020-11-17 is highly imbalanced (76.2%)Imbalance
2020-11-16 is highly imbalanced (76.2%)Imbalance
2020-11-08 is highly imbalanced (74.2%)Imbalance
2020-11-01 is highly imbalanced (71.4%)Imbalance
2020-09-07 is highly imbalanced (68.9%)Imbalance
2020-08-30 is highly imbalanced (74.2%)Imbalance
2020-08-22 is highly imbalanced (73.1%)Imbalance
2020-08-15 is highly imbalanced (74.2%)Imbalance
2020-08-11 is highly imbalanced (73.1%)Imbalance
2020-08-08 is highly imbalanced (78.2%)Imbalance
2020-08-07 is highly imbalanced (76.2%)Imbalance
2020-08-06 is highly imbalanced (74.2%)Imbalance
2020-08-03 is highly imbalanced (76.2%)Imbalance
2020-08-02 is highly imbalanced (76.2%)Imbalance
2020-07-13 is highly imbalanced (50.5%)Imbalance
2020-05-06 is highly imbalanced (65.9%)Imbalance
2020-03-03 is highly imbalanced (53.3%)Imbalance
2020-03-02 is highly imbalanced (51.6%)Imbalance
2020-11-26 has 2 (3.2%) missing valuesMissing
2020-11-22 has 2 (3.2%) missing valuesMissing
2020-11-15 has 2 (3.2%) missing valuesMissing
2020-11-14 has 3 (4.8%) missing valuesMissing
2020-11-13 has 2 (3.2%) missing valuesMissing
2020-11-12 has 2 (3.2%) missing valuesMissing
2020-11-11 has 2 (3.2%) missing valuesMissing
2020-11-10 has 2 (3.2%) missing valuesMissing
2020-11-09 has 2 (3.2%) missing valuesMissing
2020-11-07 has 2 (3.2%) missing valuesMissing
2020-11-06 has 2 (3.2%) missing valuesMissing
2020-11-05 has 2 (3.2%) missing valuesMissing
2020-11-04 has 2 (3.2%) missing valuesMissing
2020-11-03 has 2 (3.2%) missing valuesMissing
2020-11-02 has 3 (4.8%) missing valuesMissing
2020-10-31 has 2 (3.2%) missing valuesMissing
2020-10-30 has 3 (4.8%) missing valuesMissing
2020-10-29 has 2 (3.2%) missing valuesMissing
2020-10-28 has 2 (3.2%) missing valuesMissing
2020-10-27 has 2 (3.2%) missing valuesMissing
2020-10-26 has 2 (3.2%) missing valuesMissing
2020-10-25 has 2 (3.2%) missing valuesMissing
2020-10-24 has 1 (1.6%) missing valuesMissing
2020-10-23 has 1 (1.6%) missing valuesMissing
2020-10-22 has 1 (1.6%) missing valuesMissing
2020-10-21 has 1 (1.6%) missing valuesMissing
2020-10-20 has 2 (3.2%) missing valuesMissing
2020-10-19 has 2 (3.2%) missing valuesMissing
2020-10-18 has 2 (3.2%) missing valuesMissing
2020-10-17 has 2 (3.2%) missing valuesMissing
2020-10-16 has 1 (1.6%) missing valuesMissing
2020-10-15 has 1 (1.6%) missing valuesMissing
2020-10-14 has 1 (1.6%) missing valuesMissing
2020-10-13 has 1 (1.6%) missing valuesMissing
2020-10-12 has 5 (7.9%) missing valuesMissing
2020-10-11 has 5 (7.9%) missing valuesMissing
2020-10-10 has 4 (6.3%) missing valuesMissing
2020-10-09 has 1 (1.6%) missing valuesMissing
2020-10-08 has 3 (4.8%) missing valuesMissing
2020-10-07 has 1 (1.6%) missing valuesMissing
2020-10-06 has 1 (1.6%) missing valuesMissing
2020-10-05 has 63 (100.0%) missing valuesMissing
2020-10-04 has 3 (4.8%) missing valuesMissing
2020-10-03 has 4 (6.3%) missing valuesMissing
2020-10-02 has 5 (7.9%) missing valuesMissing
2020-10-01 has 4 (6.3%) missing valuesMissing
2020-09-30 has 1 (1.6%) missing valuesMissing
2020-09-29 has 1 (1.6%) missing valuesMissing
2020-09-28 has 2 (3.2%) missing valuesMissing
2020-09-27 has 2 (3.2%) missing valuesMissing
2020-09-26 has 2 (3.2%) missing valuesMissing
2020-09-25 has 1 (1.6%) missing valuesMissing
2020-09-24 has 1 (1.6%) missing valuesMissing
2020-09-23 has 2 (3.2%) missing valuesMissing
2020-09-22 has 1 (1.6%) missing valuesMissing
2020-09-21 has 2 (3.2%) missing valuesMissing
2020-09-20 has 1 (1.6%) missing valuesMissing
2020-09-19 has 1 (1.6%) missing valuesMissing
2020-09-18 has 2 (3.2%) missing valuesMissing
2020-09-17 has 63 (100.0%) missing valuesMissing
2020-09-16 has 2 (3.2%) missing valuesMissing
2020-09-15 has 2 (3.2%) missing valuesMissing
2020-09-14 has 4 (6.3%) missing valuesMissing
2020-09-13 has 2 (3.2%) missing valuesMissing
2020-09-12 has 2 (3.2%) missing valuesMissing
2020-09-11 has 2 (3.2%) missing valuesMissing
2020-09-10 has 1 (1.6%) missing valuesMissing
2020-09-09 has 2 (3.2%) missing valuesMissing
2020-09-08 has 3 (4.8%) missing valuesMissing
2020-09-06 has 2 (3.2%) missing valuesMissing
2020-09-05 has 2 (3.2%) missing valuesMissing
2020-09-04 has 3 (4.8%) missing valuesMissing
2020-09-03 has 1 (1.6%) missing valuesMissing
2020-09-02 has 1 (1.6%) missing valuesMissing
2020-09-01 has 2 (3.2%) missing valuesMissing
2020-08-31 has 3 (4.8%) missing valuesMissing
2020-08-29 has 2 (3.2%) missing valuesMissing
2020-08-28 has 4 (6.3%) missing valuesMissing
2020-08-27 has 2 (3.2%) missing valuesMissing
2020-08-26 has 3 (4.8%) missing valuesMissing
2020-08-25 has 4 (6.3%) missing valuesMissing
2020-08-24 has 3 (4.8%) missing valuesMissing
2020-08-23 has 3 (4.8%) missing valuesMissing
2020-08-21 has 3 (4.8%) missing valuesMissing
2020-08-20 has 4 (6.3%) missing valuesMissing
2020-08-19 has 2 (3.2%) missing valuesMissing
2020-08-18 has 3 (4.8%) missing valuesMissing
2020-08-17 has 3 (4.8%) missing valuesMissing
2020-08-16 has 2 (3.2%) missing valuesMissing
2020-08-14 has 2 (3.2%) missing valuesMissing
2020-08-13 has 5 (7.9%) missing valuesMissing
2020-08-12 has 5 (7.9%) missing valuesMissing
2020-08-10 has 4 (6.3%) missing valuesMissing
2020-08-09 has 3 (4.8%) missing valuesMissing
2020-08-05 has 3 (4.8%) missing valuesMissing
2020-08-04 has 2 (3.2%) missing valuesMissing
2020-08-01 has 2 (3.2%) missing valuesMissing
2020-07-31 has 2 (3.2%) missing valuesMissing
2020-07-30 has 2 (3.2%) missing valuesMissing
2020-07-29 has 2 (3.2%) missing valuesMissing
2020-07-28 has 18 (28.6%) missing valuesMissing
2020-07-26 has 18 (28.6%) missing valuesMissing
2020-07-25 has 18 (28.6%) missing valuesMissing
2020-07-24 has 18 (28.6%) missing valuesMissing
2020-07-21 has 17 (27.0%) missing valuesMissing
2020-07-18 has 17 (27.0%) missing valuesMissing
2020-07-17 has 17 (27.0%) missing valuesMissing
2020-07-16 has 17 (27.0%) missing valuesMissing
2020-07-15 has 16 (25.4%) missing valuesMissing
2020-07-12 has 17 (27.0%) missing valuesMissing
2020-07-11 has 15 (23.8%) missing valuesMissing
2020-07-10 has 16 (25.4%) missing valuesMissing
2020-07-09 has 15 (23.8%) missing valuesMissing
2020-07-08 has 15 (23.8%) missing valuesMissing
2020-07-07 has 16 (25.4%) missing valuesMissing
2020-07-06 has 17 (27.0%) missing valuesMissing
2020-07-05 has 19 (30.2%) missing valuesMissing
2020-07-04 has 19 (30.2%) missing valuesMissing
2020-07-03 has 18 (28.6%) missing valuesMissing
2020-07-02 has 19 (30.2%) missing valuesMissing
2020-07-01 has 15 (23.8%) missing valuesMissing
2020-06-30 has 17 (27.0%) missing valuesMissing
2020-06-29 has 14 (22.2%) missing valuesMissing
2020-06-28 has 13 (20.6%) missing valuesMissing
2020-06-27 has 12 (19.0%) missing valuesMissing
2020-06-26 has 14 (22.2%) missing valuesMissing
2020-06-25 has 11 (17.5%) missing valuesMissing
2020-06-24 has 13 (20.6%) missing valuesMissing
2020-06-23 has 13 (20.6%) missing valuesMissing
2020-06-22 has 15 (23.8%) missing valuesMissing
2020-06-21 has 13 (20.6%) missing valuesMissing
2020-06-20 has 13 (20.6%) missing valuesMissing
2020-06-19 has 14 (22.2%) missing valuesMissing
2020-06-18 has 14 (22.2%) missing valuesMissing
2020-06-17 has 14 (22.2%) missing valuesMissing
2020-06-16 has 14 (22.2%) missing valuesMissing
2020-06-15 has 14 (22.2%) missing valuesMissing
2020-06-14 has 14 (22.2%) missing valuesMissing
2020-06-13 has 13 (20.6%) missing valuesMissing
2020-06-12 has 11 (17.5%) missing valuesMissing
2020-06-11 has 13 (20.6%) missing valuesMissing
2020-06-10 has 13 (20.6%) missing valuesMissing
2020-06-09 has 14 (22.2%) missing valuesMissing
2020-06-08 has 14 (22.2%) missing valuesMissing
2020-06-07 has 15 (23.8%) missing valuesMissing
2020-06-06 has 19 (30.2%) missing valuesMissing
2020-06-05 has 20 (31.7%) missing valuesMissing
2020-06-04 has 19 (30.2%) missing valuesMissing
2020-06-03 has 21 (33.3%) missing valuesMissing
2020-06-02 has 19 (30.2%) missing valuesMissing
2020-06-01 has 21 (33.3%) missing valuesMissing
2020-05-31 has 22 (34.9%) missing valuesMissing
2020-05-30 has 22 (34.9%) missing valuesMissing
2020-05-29 has 19 (30.2%) missing valuesMissing
2020-05-28 has 19 (30.2%) missing valuesMissing
2020-05-27 has 18 (28.6%) missing valuesMissing
2020-05-26 has 18 (28.6%) missing valuesMissing
2020-05-25 has 17 (27.0%) missing valuesMissing
2020-05-24 has 17 (27.0%) missing valuesMissing
2020-05-23 has 17 (27.0%) missing valuesMissing
2020-05-22 has 18 (28.6%) missing valuesMissing
2020-05-21 has 18 (28.6%) missing valuesMissing
2020-05-20 has 18 (28.6%) missing valuesMissing
2020-05-19 has 19 (30.2%) missing valuesMissing
2020-05-18 has 19 (30.2%) missing valuesMissing
2020-05-17 has 20 (31.7%) missing valuesMissing
2020-05-16 has 18 (28.6%) missing valuesMissing
2020-05-15 has 18 (28.6%) missing valuesMissing
2020-05-14 has 18 (28.6%) missing valuesMissing
2020-05-13 has 18 (28.6%) missing valuesMissing
2020-05-12 has 13 (20.6%) missing valuesMissing
2020-05-11 has 14 (22.2%) missing valuesMissing
2020-05-10 has 13 (20.6%) missing valuesMissing
2020-05-09 has 13 (20.6%) missing valuesMissing
2020-05-08 has 15 (23.8%) missing valuesMissing
2020-05-07 has 13 (20.6%) missing valuesMissing
2020-05-04 has 14 (22.2%) missing valuesMissing
2020-05-03 has 13 (20.6%) missing valuesMissing
2020-05-02 has 13 (20.6%) missing valuesMissing
2020-05-01 has 13 (20.6%) missing valuesMissing
2020-04-30 has 12 (19.0%) missing valuesMissing
2020-04-29 has 12 (19.0%) missing valuesMissing
2020-04-28 has 11 (17.5%) missing valuesMissing
2020-04-27 has 13 (20.6%) missing valuesMissing
2020-04-26 has 13 (20.6%) missing valuesMissing
2020-04-25 has 9 (14.3%) missing valuesMissing
2020-04-24 has 63 (100.0%) missing valuesMissing
2020-04-23 has 10 (15.9%) missing valuesMissing
2020-04-22 has 12 (19.0%) missing valuesMissing
2020-04-21 has 11 (17.5%) missing valuesMissing
2020-04-20 has 11 (17.5%) missing valuesMissing
2020-04-19 has 11 (17.5%) missing valuesMissing
2020-04-18 has 10 (15.9%) missing valuesMissing
2020-04-17 has 9 (14.3%) missing valuesMissing
2020-04-16 has 9 (14.3%) missing valuesMissing
2020-04-15 has 10 (15.9%) missing valuesMissing
2020-04-14 has 42 (66.7%) missing valuesMissing
2020-04-13 has 42 (66.7%) missing valuesMissing
2020-04-12 has 44 (69.8%) missing valuesMissing
2020-04-11 has 43 (68.3%) missing valuesMissing
2020-04-10 has 42 (66.7%) missing valuesMissing
2020-04-09 has 42 (66.7%) missing valuesMissing
2020-04-08 has 42 (66.7%) missing valuesMissing
2020-04-07 has 42 (66.7%) missing valuesMissing
2020-04-06 has 42 (66.7%) missing valuesMissing
2020-04-05 has 42 (66.7%) missing valuesMissing
2020-04-04 has 42 (66.7%) missing valuesMissing
2020-04-03 has 42 (66.7%) missing valuesMissing
2020-04-02 has 42 (66.7%) missing valuesMissing
2020-04-01 has 42 (66.7%) missing valuesMissing
2020-03-31 has 42 (66.7%) missing valuesMissing
2020-03-30 has 42 (66.7%) missing valuesMissing
2020-03-29 has 42 (66.7%) missing valuesMissing
2020-03-28 has 42 (66.7%) missing valuesMissing
2020-03-27 has 42 (66.7%) missing valuesMissing
2020-03-26 has 42 (66.7%) missing valuesMissing
2020-03-25 has 42 (66.7%) missing valuesMissing
2020-03-24 has 42 (66.7%) missing valuesMissing
2020-03-23 has 42 (66.7%) missing valuesMissing
2020-03-22 has 43 (68.3%) missing valuesMissing
2020-03-21 has 43 (68.3%) missing valuesMissing
2020-03-20 has 43 (68.3%) missing valuesMissing
2020-03-19 has 44 (69.8%) missing valuesMissing
2020-03-18 has 42 (66.7%) missing valuesMissing
2020-03-17 has 42 (66.7%) missing valuesMissing
2020-03-16 has 43 (68.3%) missing valuesMissing
2020-03-15 has 42 (66.7%) missing valuesMissing
2020-03-14 has 42 (66.7%) missing valuesMissing
2020-03-13 has 42 (66.7%) missing valuesMissing
2020-03-12 has 42 (66.7%) missing valuesMissing
2020-03-11 has 43 (68.3%) missing valuesMissing
2020-03-10 has 43 (68.3%) missing valuesMissing
2020-03-09 has 43 (68.3%) missing valuesMissing
2020-03-08 has 43 (68.3%) missing valuesMissing
2020-03-07 has 43 (68.3%) missing valuesMissing
2020-03-06 has 43 (68.3%) missing valuesMissing
2020-03-05 has 43 (68.3%) missing valuesMissing
code has unique valuesUnique
농가번호 has unique valuesUnique
X has unique valuesUnique
Y has unique valuesUnique
2020-10-05 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2020-09-17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2020-04-24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2020-11-26 has 55 (87.3%) zerosZeros
2020-11-22 has 56 (88.9%) zerosZeros
2020-11-15 has 56 (88.9%) zerosZeros
2020-11-14 has 55 (87.3%) zerosZeros
2020-11-13 has 52 (82.5%) zerosZeros
2020-11-12 has 47 (74.6%) zerosZeros
2020-11-11 has 47 (74.6%) zerosZeros
2020-11-10 has 52 (82.5%) zerosZeros
2020-11-09 has 53 (84.1%) zerosZeros
2020-11-07 has 54 (85.7%) zerosZeros
2020-11-06 has 52 (82.5%) zerosZeros
2020-11-05 has 52 (82.5%) zerosZeros
2020-11-04 has 52 (82.5%) zerosZeros
2020-11-03 has 54 (85.7%) zerosZeros
2020-11-02 has 54 (85.7%) zerosZeros
2020-10-31 has 48 (76.2%) zerosZeros
2020-10-30 has 47 (74.6%) zerosZeros
2020-10-29 has 48 (76.2%) zerosZeros
2020-10-28 has 48 (76.2%) zerosZeros
2020-10-27 has 52 (82.5%) zerosZeros
2020-10-26 has 48 (76.2%) zerosZeros
2020-10-25 has 51 (81.0%) zerosZeros
2020-10-24 has 53 (84.1%) zerosZeros
2020-10-23 has 56 (88.9%) zerosZeros
2020-10-22 has 53 (84.1%) zerosZeros
2020-10-21 has 56 (88.9%) zerosZeros
2020-10-20 has 53 (84.1%) zerosZeros
2020-10-19 has 48 (76.2%) zerosZeros
2020-10-18 has 52 (82.5%) zerosZeros
2020-10-17 has 48 (76.2%) zerosZeros
2020-10-16 has 53 (84.1%) zerosZeros
2020-10-15 has 49 (77.8%) zerosZeros
2020-10-14 has 52 (82.5%) zerosZeros
2020-10-13 has 49 (77.8%) zerosZeros
2020-10-12 has 50 (79.4%) zerosZeros
2020-10-11 has 50 (79.4%) zerosZeros
2020-10-10 has 47 (74.6%) zerosZeros
2020-10-09 has 47 (74.6%) zerosZeros
2020-10-08 has 46 (73.0%) zerosZeros
2020-10-07 has 47 (74.6%) zerosZeros
2020-10-06 has 49 (77.8%) zerosZeros
2020-10-04 has 50 (79.4%) zerosZeros
2020-10-03 has 51 (81.0%) zerosZeros
2020-10-02 has 46 (73.0%) zerosZeros
2020-10-01 has 51 (81.0%) zerosZeros
2020-09-30 has 49 (77.8%) zerosZeros
2020-09-29 has 47 (74.6%) zerosZeros
2020-09-28 has 44 (69.8%) zerosZeros
2020-09-27 has 45 (71.4%) zerosZeros
2020-09-26 has 46 (73.0%) zerosZeros
2020-09-25 has 48 (76.2%) zerosZeros
2020-09-24 has 47 (74.6%) zerosZeros
2020-09-23 has 47 (74.6%) zerosZeros
2020-09-22 has 46 (73.0%) zerosZeros
2020-09-21 has 45 (71.4%) zerosZeros
2020-09-20 has 51 (81.0%) zerosZeros
2020-09-19 has 54 (85.7%) zerosZeros
2020-09-18 has 50 (79.4%) zerosZeros
2020-09-16 has 55 (87.3%) zerosZeros
2020-09-15 has 47 (74.6%) zerosZeros
2020-09-14 has 52 (82.5%) zerosZeros
2020-09-13 has 52 (82.5%) zerosZeros
2020-09-12 has 56 (88.9%) zerosZeros
2020-09-11 has 49 (77.8%) zerosZeros
2020-09-10 has 56 (88.9%) zerosZeros
2020-09-09 has 52 (82.5%) zerosZeros
2020-09-08 has 50 (79.4%) zerosZeros
2020-09-06 has 55 (87.3%) zerosZeros
2020-09-05 has 49 (77.8%) zerosZeros
2020-09-04 has 50 (79.4%) zerosZeros
2020-09-03 has 55 (87.3%) zerosZeros
2020-09-02 has 56 (88.9%) zerosZeros
2020-09-01 has 53 (84.1%) zerosZeros
2020-08-31 has 49 (77.8%) zerosZeros
2020-08-29 has 56 (88.9%) zerosZeros
2020-08-28 has 52 (82.5%) zerosZeros
2020-08-27 has 50 (79.4%) zerosZeros
2020-08-26 has 52 (82.5%) zerosZeros
2020-08-25 has 46 (73.0%) zerosZeros
2020-08-24 has 51 (81.0%) zerosZeros
2020-08-23 has 48 (76.2%) zerosZeros
2020-08-21 has 47 (74.6%) zerosZeros
2020-08-20 has 40 (63.5%) zerosZeros
2020-08-19 has 51 (81.0%) zerosZeros
2020-08-18 has 53 (84.1%) zerosZeros
2020-08-17 has 48 (76.2%) zerosZeros
2020-08-16 has 53 (84.1%) zerosZeros
2020-08-14 has 51 (81.0%) zerosZeros
2020-08-13 has 53 (84.1%) zerosZeros
2020-08-12 has 53 (84.1%) zerosZeros
2020-08-10 has 52 (82.5%) zerosZeros
2020-08-09 has 55 (87.3%) zerosZeros
2020-08-05 has 43 (68.3%) zerosZeros
2020-08-04 has 56 (88.9%) zerosZeros
2020-08-01 has 54 (85.7%) zerosZeros
2020-07-31 has 52 (82.5%) zerosZeros
2020-07-30 has 53 (84.1%) zerosZeros
2020-07-29 has 52 (82.5%) zerosZeros
2020-07-28 has 24 (38.1%) zerosZeros
2020-07-26 has 38 (60.3%) zerosZeros
2020-07-25 has 40 (63.5%) zerosZeros
2020-07-24 has 38 (60.3%) zerosZeros
2020-07-21 has 38 (60.3%) zerosZeros
2020-07-18 has 37 (58.7%) zerosZeros
2020-07-17 has 33 (52.4%) zerosZeros
2020-07-16 has 36 (57.1%) zerosZeros
2020-07-15 has 36 (57.1%) zerosZeros
2020-07-12 has 33 (52.4%) zerosZeros
2020-07-11 has 28 (44.4%) zerosZeros
2020-07-10 has 33 (52.4%) zerosZeros
2020-07-09 has 31 (49.2%) zerosZeros
2020-07-08 has 27 (42.9%) zerosZeros
2020-07-07 has 28 (44.4%) zerosZeros
2020-07-06 has 25 (39.7%) zerosZeros
2020-07-05 has 29 (46.0%) zerosZeros
2020-07-04 has 36 (57.1%) zerosZeros
2020-07-03 has 34 (54.0%) zerosZeros
2020-07-02 has 34 (54.0%) zerosZeros
2020-07-01 has 37 (58.7%) zerosZeros
2020-06-30 has 38 (60.3%) zerosZeros
2020-06-29 has 36 (57.1%) zerosZeros
2020-06-28 has 30 (47.6%) zerosZeros
2020-06-27 has 35 (55.6%) zerosZeros
2020-06-26 has 36 (57.1%) zerosZeros
2020-06-25 has 38 (60.3%) zerosZeros
2020-06-24 has 37 (58.7%) zerosZeros
2020-06-23 has 28 (44.4%) zerosZeros
2020-06-22 has 22 (34.9%) zerosZeros
2020-06-21 has 34 (54.0%) zerosZeros
2020-06-20 has 33 (52.4%) zerosZeros
2020-06-19 has 31 (49.2%) zerosZeros
2020-06-18 has 29 (46.0%) zerosZeros
2020-06-17 has 25 (39.7%) zerosZeros
2020-06-16 has 29 (46.0%) zerosZeros
2020-06-15 has 28 (44.4%) zerosZeros
2020-06-14 has 30 (47.6%) zerosZeros
2020-06-13 has 25 (39.7%) zerosZeros
2020-06-12 has 30 (47.6%) zerosZeros
2020-06-11 has 32 (50.8%) zerosZeros
2020-06-10 has 27 (42.9%) zerosZeros
2020-06-09 has 26 (41.3%) zerosZeros
2020-06-08 has 28 (44.4%) zerosZeros
2020-06-07 has 29 (46.0%) zerosZeros
2020-06-06 has 26 (41.3%) zerosZeros
2020-06-05 has 22 (34.9%) zerosZeros
2020-06-04 has 26 (41.3%) zerosZeros
2020-06-03 has 29 (46.0%) zerosZeros
2020-06-02 has 30 (47.6%) zerosZeros
2020-06-01 has 24 (38.1%) zerosZeros
2020-05-31 has 28 (44.4%) zerosZeros
2020-05-30 has 22 (34.9%) zerosZeros
2020-05-29 has 25 (39.7%) zerosZeros
2020-05-28 has 24 (38.1%) zerosZeros
2020-05-27 has 26 (41.3%) zerosZeros
2020-05-26 has 31 (49.2%) zerosZeros
2020-05-25 has 34 (54.0%) zerosZeros
2020-05-24 has 35 (55.6%) zerosZeros
2020-05-23 has 27 (42.9%) zerosZeros
2020-05-22 has 33 (52.4%) zerosZeros
2020-05-21 has 26 (41.3%) zerosZeros
2020-05-20 has 27 (42.9%) zerosZeros
2020-05-19 has 30 (47.6%) zerosZeros
2020-05-18 has 33 (52.4%) zerosZeros
2020-05-17 has 34 (54.0%) zerosZeros
2020-05-16 has 38 (60.3%) zerosZeros
2020-05-15 has 35 (55.6%) zerosZeros
2020-05-14 has 33 (52.4%) zerosZeros
2020-05-13 has 28 (44.4%) zerosZeros
2020-05-12 has 39 (61.9%) zerosZeros
2020-05-11 has 36 (57.1%) zerosZeros
2020-05-10 has 38 (60.3%) zerosZeros
2020-05-09 has 43 (68.3%) zerosZeros
2020-05-08 has 34 (54.0%) zerosZeros
2020-05-07 has 42 (66.7%) zerosZeros
2020-05-04 has 36 (57.1%) zerosZeros
2020-05-03 has 36 (57.1%) zerosZeros
2020-05-02 has 35 (55.6%) zerosZeros
2020-05-01 has 32 (50.8%) zerosZeros
2020-04-30 has 33 (52.4%) zerosZeros
2020-04-29 has 32 (50.8%) zerosZeros
2020-04-28 has 33 (52.4%) zerosZeros
2020-04-27 has 38 (60.3%) zerosZeros
2020-04-26 has 32 (50.8%) zerosZeros
2020-04-25 has 45 (71.4%) zerosZeros
2020-04-23 has 41 (65.1%) zerosZeros
2020-04-22 has 39 (61.9%) zerosZeros
2020-04-21 has 44 (69.8%) zerosZeros
2020-04-20 has 44 (69.8%) zerosZeros
2020-04-19 has 42 (66.7%) zerosZeros
2020-04-18 has 44 (69.8%) zerosZeros
2020-04-17 has 49 (77.8%) zerosZeros
2020-04-16 has 42 (66.7%) zerosZeros
2020-04-15 has 42 (66.7%) zerosZeros
2020-04-14 has 8 (12.7%) zerosZeros
2020-04-13 has 9 (14.3%) zerosZeros
2020-04-12 has 10 (15.9%) zerosZeros
2020-04-11 has 9 (14.3%) zerosZeros
2020-04-10 has 9 (14.3%) zerosZeros
2020-04-09 has 8 (12.7%) zerosZeros
2020-04-08 has 9 (14.3%) zerosZeros
2020-04-07 has 10 (15.9%) zerosZeros
2020-04-06 has 9 (14.3%) zerosZeros
2020-04-05 has 9 (14.3%) zerosZeros
2020-04-04 has 8 (12.7%) zerosZeros
2020-04-03 has 8 (12.7%) zerosZeros
2020-04-02 has 10 (15.9%) zerosZeros
2020-04-01 has 9 (14.3%) zerosZeros
2020-03-31 has 6 (9.5%) zerosZeros
2020-03-30 has 11 (17.5%) zerosZeros
2020-03-29 has 10 (15.9%) zerosZeros
2020-03-28 has 11 (17.5%) zerosZeros
2020-03-27 has 12 (19.0%) zerosZeros
2020-03-26 has 12 (19.0%) zerosZeros
2020-03-25 has 8 (12.7%) zerosZeros
2020-03-24 has 11 (17.5%) zerosZeros
2020-03-23 has 11 (17.5%) zerosZeros
2020-03-22 has 11 (17.5%) zerosZeros
2020-03-21 has 11 (17.5%) zerosZeros
2020-03-20 has 10 (15.9%) zerosZeros
2020-03-19 has 12 (19.0%) zerosZeros
2020-03-18 has 12 (19.0%) zerosZeros
2020-03-17 has 11 (17.5%) zerosZeros
2020-03-16 has 12 (19.0%) zerosZeros
2020-03-15 has 13 (20.6%) zerosZeros
2020-03-14 has 14 (22.2%) zerosZeros
2020-03-13 has 12 (19.0%) zerosZeros
2020-03-12 has 12 (19.0%) zerosZeros
2020-03-11 has 14 (22.2%) zerosZeros
2020-03-10 has 13 (20.6%) zerosZeros
2020-03-09 has 15 (23.8%) zerosZeros
2020-03-08 has 15 (23.8%) zerosZeros
2020-03-07 has 14 (22.2%) zerosZeros
2020-03-06 has 14 (22.2%) zerosZeros
2020-03-05 has 14 (22.2%) zerosZeros

Reproduction

Analysis started2024-04-17 19:29:48.447097
Analysis finished2024-04-17 19:29:50.420425
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

code
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-04-18T04:29:50.562823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.8571429
Min length3

Characters and Unicode

Total characters243
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row1_1
2nd row11_1
3rd row12_0
4th row13_0
5th row14_1
ValueCountFrequency (%)
1_1 1
 
1.6%
44_0 1
 
1.6%
47_0 1
 
1.6%
48_1 1
 
1.6%
49_0 1
 
1.6%
5_1 1
 
1.6%
50_0 1
 
1.6%
51_0 1
 
1.6%
52_0 1
 
1.6%
53_0 1
 
1.6%
Other values (53) 53
84.1%
2024-04-18T04:29:50.851424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 63
25.9%
0 60
24.7%
1 21
 
8.6%
3 16
 
6.6%
4 16
 
6.6%
5 16
 
6.6%
2 15
 
6.2%
6 15
 
6.2%
7 9
 
3.7%
8 7
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
74.1%
Connector Punctuation 63
 
25.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
33.3%
1 21
 
11.7%
3 16
 
8.9%
4 16
 
8.9%
5 16
 
8.9%
2 15
 
8.3%
6 15
 
8.3%
7 9
 
5.0%
8 7
 
3.9%
9 5
 
2.8%
Connector Punctuation
ValueCountFrequency (%)
_ 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 63
25.9%
0 60
24.7%
1 21
 
8.6%
3 16
 
6.6%
4 16
 
6.6%
5 16
 
6.6%
2 15
 
6.2%
6 15
 
6.2%
7 9
 
3.7%
8 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 63
25.9%
0 60
24.7%
1 21
 
8.6%
3 16
 
6.6%
4 16
 
6.6%
5 16
 
6.6%
2 15
 
6.2%
6 15
 
6.2%
7 9
 
3.7%
8 7
 
2.9%

농가번호
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.777778
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:29:50.958978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q117.5
median38
Q354.5
95-th percentile67.9
Maximum74
Range73
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.346938
Coefficient of variation (CV)0.58043033
Kurtosis-1.1895234
Mean36.777778
Median Absolute Deviation (MAD)18
Skewness-0.040389406
Sum2317
Variance455.69176
MonotonicityNot monotonic
2024-04-18T04:29:51.062548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
11 1
 
1.6%
47 1
 
1.6%
48 1
 
1.6%
49 1
 
1.6%
5 1
 
1.6%
50 1
 
1.6%
51 1
 
1.6%
52 1
 
1.6%
53 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
11 1
1.6%
ValueCountFrequency (%)
74 1
1.6%
73 1
1.6%
71 1
1.6%
68 1
1.6%
67 1
1.6%
66 1
1.6%
65 1
1.6%
64 1
1.6%
63 1
1.6%
62 1
1.6%

농장번호
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
56 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 56
88.9%
1 7
 
11.1%

Length

2024-04-18T04:29:51.167278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:51.238561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
88.9%
1 7
 
11.1%

X
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean931704.48
Minimum926052
Maximum944324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:29:51.323445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum926052
5-th percentile927230.9
Q1928867.5
median930662
Q3933394.5
95-th percentile939025.3
Maximum944324
Range18272
Interquartile range (IQR)4527

Descriptive statistics

Standard deviation3950.6501
Coefficient of variation (CV)0.0042402394
Kurtosis0.8163796
Mean931704.48
Median Absolute Deviation (MAD)2498
Skewness1.0591777
Sum58697382
Variance15607636
MonotonicityNot monotonic
2024-04-18T04:29:51.426753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
933410 1
 
1.6%
931608 1
 
1.6%
926901 1
 
1.6%
933258 1
 
1.6%
933836 1
 
1.6%
927368 1
 
1.6%
938699 1
 
1.6%
927734 1
 
1.6%
927223 1
 
1.6%
928966 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
926052 1
1.6%
926901 1
1.6%
927086 1
1.6%
927223 1
1.6%
927302 1
1.6%
927368 1
1.6%
927696 1
1.6%
927707 1
1.6%
927734 1
1.6%
927938 1
1.6%
ValueCountFrequency (%)
944324 1
1.6%
940379 1
1.6%
940355 1
1.6%
939057 1
1.6%
938740 1
1.6%
938699 1
1.6%
938149 1
1.6%
937806 1
1.6%
937625 1
1.6%
935422 1
1.6%

Y
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1912667.6
Minimum1893837
Maximum1919454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:29:51.531489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1893837
5-th percentile1904384.8
Q11909390.5
median1914214
Q31916085.5
95-th percentile1918924.2
Maximum1919454
Range25617
Interquartile range (IQR)6695

Descriptive statistics

Standard deviation4907.8095
Coefficient of variation (CV)0.0025659501
Kurtosis2.9481945
Mean1912667.6
Median Absolute Deviation (MAD)2320
Skewness-1.4176006
Sum1.2049806 × 108
Variance24086594
MonotonicityNot monotonic
2024-04-18T04:29:51.638661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1916594 1
 
1.6%
1914754 1
 
1.6%
1916054 1
 
1.6%
1916186 1
 
1.6%
1916073 1
 
1.6%
1915562 1
 
1.6%
1919448 1
 
1.6%
1917810 1
 
1.6%
1908474 1
 
1.6%
1908620 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1893837 1
1.6%
1898204 1
1.6%
1904023 1
1.6%
1904194 1
1.6%
1906102 1
1.6%
1906930 1
1.6%
1907260 1
1.6%
1907367 1
1.6%
1907996 1
1.6%
1908474 1
1.6%
ValueCountFrequency (%)
1919454 1
1.6%
1919448 1
1.6%
1919329 1
1.6%
1919048 1
1.6%
1917810 1
1.6%
1917255 1
1.6%
1916723 1
1.6%
1916627 1
1.6%
1916594 1
1.6%
1916477 1
1.6%

2020-12-31
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
4
290
 
1
470
 
1

Length

Max length4
Median length1
Mean length1.2539683
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 4
 
6.3%
290 1
 
1.6%
470 1
 
1.6%

Length

2024-04-18T04:29:51.737358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:51.815181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 4
 
6.3%
290 1
 
1.6%
470 1
 
1.6%

2020-12-30
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
3
610
 
1

Length

Max length4
Median length1
Mean length1.1746032
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 3
 
4.8%
610 1
 
1.6%

Length

2024-04-18T04:29:51.898719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:51.984583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 3
 
4.8%
610 1
 
1.6%

2020-12-29
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
61 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.0952381
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 61
96.8%
<NA> 2
 
3.2%

Length

2024-04-18T04:29:52.083305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:52.163320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
96.8%
na 2
 
3.2%

2020-12-28
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
4
110
 
1
700
 
1

Length

Max length4
Median length1
Mean length1.2539683
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 4
 
6.3%
110 1
 
1.6%
700 1
 
1.6%

Length

2024-04-18T04:29:52.242780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:52.332287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 4
 
6.3%
110 1
 
1.6%
700 1
 
1.6%

2020-12-27
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
3
500
 
1

Length

Max length4
Median length1
Mean length1.1746032
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 3
 
4.8%
500 1
 
1.6%

Length

2024-04-18T04:29:52.421457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:52.496046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 3
 
4.8%
500 1
 
1.6%

2020-12-26
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
3
20
 
1
480
 
1

Length

Max length4
Median length1
Mean length1.1904762
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 3
 
4.8%
20 1
 
1.6%
480 1
 
1.6%

Length

2024-04-18T04:29:52.578745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:52.656907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 3
 
4.8%
20 1
 
1.6%
480 1
 
1.6%

2020-12-25
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
3
1100
 
1
820
 
1

Length

Max length4
Median length1
Mean length1.2222222
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 3
 
4.8%
1100 1
 
1.6%
820 1
 
1.6%

Length

2024-04-18T04:29:52.741329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:52.820986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 3
 
4.8%
1100 1
 
1.6%
820 1
 
1.6%

2020-12-24
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
180
 
1
660
 
1

Length

Max length4
Median length1
Mean length1.1111111
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
180 1
 
1.6%
660 1
 
1.6%

Length

2024-04-18T04:29:52.909447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:53.000398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
180 1
 
1.6%
660 1
 
1.6%

2020-12-23
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
61 
<NA>
 
1
220
 
1

Length

Max length4
Median length1
Mean length1.0793651
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 61
96.8%
<NA> 1
 
1.6%
220 1
 
1.6%

Length

2024-04-18T04:29:53.110438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:53.206306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
96.8%
na 1
 
1.6%
220 1
 
1.6%

2020-12-22
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
50
 
1
580
 
1

Length

Max length4
Median length1
Mean length1.0952381
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
50 1
 
1.6%
580 1
 
1.6%

Length

2024-04-18T04:29:53.285933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:53.368335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
50 1
 
1.6%
580 1
 
1.6%

2020-12-21
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
3
720
 
1
410
 
1

Length

Max length4
Median length1
Mean length1.2063492
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 3
 
4.8%
720 1
 
1.6%
410 1
 
1.6%

Length

2024-04-18T04:29:53.451689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:53.531233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 3
 
4.8%
720 1
 
1.6%
410 1
 
1.6%

2020-12-20
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
2
1160
 
1
940
 
1

Length

Max length4
Median length1
Mean length1.1746032
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 2
 
3.2%
1160 1
 
1.6%
940 1
 
1.6%

Length

2024-04-18T04:29:53.616527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:53.695651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 2
 
3.2%
1160 1
 
1.6%
940 1
 
1.6%

2020-12-19
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
490
 
1
1110
 
1

Length

Max length4
Median length1
Mean length1.1269841
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
490 1
 
1.6%
1110 1
 
1.6%

Length

2024-04-18T04:29:53.780139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:53.858268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
490 1
 
1.6%
1110 1
 
1.6%

2020-12-18
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
2
830
 
1
630
 
1

Length

Max length4
Median length1
Mean length1.1587302
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 2
 
3.2%
830 1
 
1.6%
630 1
 
1.6%

Length

2024-04-18T04:29:53.943628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:54.022760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 2
 
3.2%
830 1
 
1.6%
630 1
 
1.6%

2020-12-17
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
1130
 
1
810
 
1

Length

Max length4
Median length1
Mean length1.1269841
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
1130 1
 
1.6%
810 1
 
1.6%

Length

2024-04-18T04:29:54.112959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:54.208740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
1130 1
 
1.6%
810 1
 
1.6%

2020-12-16
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
1
70
 
1
57465
 
1
950
 
1

Length

Max length5
Median length1
Mean length1.1587302
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 1
 
1.6%
70 1
 
1.6%
57465 1
 
1.6%
950 1
 
1.6%

Length

2024-04-18T04:29:54.297597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:54.382641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 1
 
1.6%
70 1
 
1.6%
57465 1
 
1.6%
950 1
 
1.6%

2020-12-15
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
1
280
 
1
122665
 
1
920
 
1

Length

Max length6
Median length1
Mean length1.1904762
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 1
 
1.6%
280 1
 
1.6%
122665 1
 
1.6%
920 1
 
1.6%

Length

2024-04-18T04:29:54.464507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:54.542237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 1
 
1.6%
280 1
 
1.6%
122665 1
 
1.6%
920 1
 
1.6%

2020-12-14
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
53305
 
1
720
 
1

Length

Max length5
Median length1
Mean length1.1428571
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
53305 1
 
1.6%
720 1
 
1.6%

Length

2024-04-18T04:29:54.632417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:54.717306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
53305 1
 
1.6%
720 1
 
1.6%

2020-12-13
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
1
10
 
1
60945
 
1
130
 
1

Length

Max length5
Median length1
Mean length1.1587302
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 1
 
1.6%
10 1
 
1.6%
60945 1
 
1.6%
130 1
 
1.6%

Length

2024-04-18T04:29:54.808218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:54.895787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 1
 
1.6%
10 1
 
1.6%
60945 1
 
1.6%
130 1
 
1.6%

2020-12-12
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
7690
 
1
<NA>
 
1
2240
 
1
132885
 
1

Length

Max length6
Median length1
Mean length1.2698413
Min length1

Unique

Unique5 ?
Unique (%)7.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
7690 1
 
1.6%
<NA> 1
 
1.6%
2240 1
 
1.6%
132885 1
 
1.6%
1010 1
 
1.6%

Length

2024-04-18T04:29:54.980622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:55.060991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
7690 1
 
1.6%
na 1
 
1.6%
2240 1
 
1.6%
132885 1
 
1.6%
1010 1
 
1.6%

2020-12-11
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
33730
 
1
540
 
1

Length

Max length5
Median length1
Mean length1.1428571
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
33730 1
 
1.6%
540 1
 
1.6%

Length

2024-04-18T04:29:55.407806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:55.492360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
33730 1
 
1.6%
540 1
 
1.6%

2020-12-10
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
69145
 
1
230
 
1

Length

Max length5
Median length1
Mean length1.1428571
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
69145 1
 
1.6%
230 1
 
1.6%

Length

2024-04-18T04:29:55.579568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:55.663449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
69145 1
 
1.6%
230 1
 
1.6%

2020-12-09
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
2
20
 
1
570
 
1

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 2
 
3.2%
20 1
 
1.6%
570 1
 
1.6%

Length

2024-04-18T04:29:55.751539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:55.853813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 2
 
3.2%
20 1
 
1.6%
570 1
 
1.6%

2020-12-08
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
60
 
1
885
 
1

Length

Max length4
Median length1
Mean length1.0952381
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
60 1
 
1.6%
885 1
 
1.6%

Length

2024-04-18T04:29:55.944770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:56.022612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
60 1
 
1.6%
885 1
 
1.6%

2020-12-07
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
20
 
1
360
 
1

Length

Max length4
Median length1
Mean length1.0952381
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
20 1
 
1.6%
360 1
 
1.6%

Length

2024-04-18T04:29:56.116078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:56.206559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
20 1
 
1.6%
360 1
 
1.6%

2020-12-06
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
850
 
1
450
 
1

Length

Max length4
Median length1
Mean length1.1111111
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
850 1
 
1.6%
450 1
 
1.6%

Length

2024-04-18T04:29:56.292476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:56.371795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
850 1
 
1.6%
450 1
 
1.6%

2020-12-05
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
3505
 
1
<NA>
 
1
10
 
1
50
 
1

Length

Max length4
Median length1
Mean length1.1269841
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
3505 1
 
1.6%
<NA> 1
 
1.6%
10 1
 
1.6%
50 1
 
1.6%

Length

2024-04-18T04:29:56.456583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:56.538089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
3505 1
 
1.6%
na 1
 
1.6%
10 1
 
1.6%
50 1
 
1.6%

2020-12-04
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
2
20
 
1
775
 
1

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 2
 
3.2%
20 1
 
1.6%
775 1
 
1.6%

Length

2024-04-18T04:29:56.624496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:56.703825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 2
 
3.2%
20 1
 
1.6%
775 1
 
1.6%

2020-12-03
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
4270
 
1
<NA>
 
1
820
 
1

Length

Max length4
Median length1
Mean length1.1269841
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
4270 1
 
1.6%
<NA> 1
 
1.6%
820 1
 
1.6%

Length

2024-04-18T04:29:56.788177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:56.866695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
4270 1
 
1.6%
na 1
 
1.6%
820 1
 
1.6%

2020-12-02
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
93580
 
1
640
 
1

Length

Max length5
Median length1
Mean length1.1428571
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
93580 1
 
1.6%
640 1
 
1.6%

Length

2024-04-18T04:29:56.959688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:57.062454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
93580 1
 
1.6%
640 1
 
1.6%

2020-12-01
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
2885
 
1
<NA>
 
1
20
 
1
131120
 
1

Length

Max length6
Median length1
Mean length1.2222222
Min length1

Unique

Unique5 ?
Unique (%)7.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
2885 1
 
1.6%
<NA> 1
 
1.6%
20 1
 
1.6%
131120 1
 
1.6%
880 1
 
1.6%

Length

2024-04-18T04:29:57.166925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:57.250344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
2885 1
 
1.6%
na 1
 
1.6%
20 1
 
1.6%
131120 1
 
1.6%
880 1
 
1.6%

2020-11-30
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
1
47375
 
1
10
 
1
640
 
1

Length

Max length5
Median length1
Mean length1.1587302
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 1
 
1.6%
47375 1
 
1.6%
10 1
 
1.6%
640 1
 
1.6%

Length

2024-04-18T04:29:57.343778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:57.431095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 1
 
1.6%
47375 1
 
1.6%
10 1
 
1.6%
640 1
 
1.6%

2020-11-29
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
9070
 
1
10
 
1
<NA>
 
1
50
 
1

Length

Max length4
Median length1
Mean length1.1269841
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row9070

Common Values

ValueCountFrequency (%)
0 59
93.7%
9070 1
 
1.6%
10 1
 
1.6%
<NA> 1
 
1.6%
50 1
 
1.6%

Length

2024-04-18T04:29:57.516449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:57.600092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
9070 1
 
1.6%
10 1
 
1.6%
na 1
 
1.6%
50 1
 
1.6%

2020-11-28
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
61 
<NA>
 
1
900
 
1

Length

Max length4
Median length1
Mean length1.0793651
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 61
96.8%
<NA> 1
 
1.6%
900 1
 
1.6%

Length

2024-04-18T04:29:57.684666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:57.762845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
96.8%
na 1
 
1.6%
900 1
 
1.6%

2020-11-27
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
1
10
 
1
19260
 
1
320
 
1

Length

Max length5
Median length1
Mean length1.2063492
Min length1

Unique

Unique5 ?
Unique (%)7.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 1
 
1.6%
10 1
 
1.6%
19260 1
 
1.6%
320 1
 
1.6%
3670 1
 
1.6%

Length

2024-04-18T04:29:57.851156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:57.937146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 1
 
1.6%
10 1
 
1.6%
19260 1
 
1.6%
320 1
 
1.6%
3670 1
 
1.6%

2020-11-26
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.5%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean172.86885
Minimum0
Maximum3500
Zeros55
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:29:58.009085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile940
Maximum3500
Range3500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation652.98064
Coefficient of variation (CV)3.7773181
Kurtosis20.710087
Mean172.86885
Median Absolute Deviation (MAD)0
Skewness4.5035048
Sum10545
Variance426383.72
MonotonicityNot monotonic
2024-04-18T04:29:58.088213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 55
87.3%
940 1
 
1.6%
680 1
 
1.6%
775 1
 
1.6%
1230 1
 
1.6%
3420 1
 
1.6%
3500 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 55
87.3%
680 1
 
1.6%
775 1
 
1.6%
940 1
 
1.6%
1230 1
 
1.6%
3420 1
 
1.6%
3500 1
 
1.6%
ValueCountFrequency (%)
3500 1
 
1.6%
3420 1
 
1.6%
1230 1
 
1.6%
940 1
 
1.6%
775 1
 
1.6%
680 1
 
1.6%
0 55
87.3%

2020-11-25
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
2
10
 
1
770
 
1
10405
 
1

Length

Max length5
Median length1
Mean length1.2063492
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 2
 
3.2%
10 1
 
1.6%
770 1
 
1.6%
10405 1
 
1.6%

Length

2024-04-18T04:29:58.189600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:58.277413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 2
 
3.2%
10 1
 
1.6%
770 1
 
1.6%
10405 1
 
1.6%

2020-11-24
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
60 
<NA>
 
1
340
 
1
12735
 
1

Length

Max length5
Median length1
Mean length1.1428571
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
95.2%
<NA> 1
 
1.6%
340 1
 
1.6%
12735 1
 
1.6%

Length

2024-04-18T04:29:58.384479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:58.467436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
95.2%
na 1
 
1.6%
340 1
 
1.6%
12735 1
 
1.6%

2020-11-23
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
2
3695
 
1
100
 
1
810
 
1

Length

Max length4
Median length1
Mean length1.2539683
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 2
 
3.2%
3695 1
 
1.6%
100 1
 
1.6%
810 1
 
1.6%
5520 1
 
1.6%

Length

2024-04-18T04:29:58.565928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:58.649604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 2
 
3.2%
3695 1
 
1.6%
100 1
 
1.6%
810 1
 
1.6%
5520 1
 
1.6%

2020-11-22
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)9.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean225.65574
Minimum0
Maximum4275
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:29:58.720472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1670
Maximum4275
Range4275
Interquartile range (IQR)0

Descriptive statistics

Standard deviation900.62732
Coefficient of variation (CV)3.9911563
Kurtosis15.240152
Mean225.65574
Median Absolute Deviation (MAD)0
Skewness4.0266621
Sum13765
Variance811129.56
MonotonicityNot monotonic
2024-04-18T04:29:58.791514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 56
88.9%
3580 1
 
1.6%
10 1
 
1.6%
1670 1
 
1.6%
4275 1
 
1.6%
4230 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 56
88.9%
10 1
 
1.6%
1670 1
 
1.6%
3580 1
 
1.6%
4230 1
 
1.6%
4275 1
 
1.6%
ValueCountFrequency (%)
4275 1
 
1.6%
4230 1
 
1.6%
3580 1
 
1.6%
1670 1
 
1.6%
10 1
 
1.6%
0 56
88.9%

2020-11-21
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
2
4080
 
1
14290
 
1
660
 
1

Length

Max length5
Median length1
Mean length1.2380952
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row4080
3rd row0
4th row0
5th row14290

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 2
 
3.2%
4080 1
 
1.6%
14290 1
 
1.6%
660 1
 
1.6%

Length

2024-04-18T04:29:58.903046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:59.004629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 2
 
3.2%
4080 1
 
1.6%
14290 1
 
1.6%
660 1
 
1.6%

2020-11-20
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
2
1940
 
1
10
 
1
330
 
1

Length

Max length4
Median length1
Mean length1.2380952
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1940

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 2
 
3.2%
1940 1
 
1.6%
10 1
 
1.6%
330 1
 
1.6%
1815 1
 
1.6%

Length

2024-04-18T04:29:59.095751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:59.179410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 2
 
3.2%
1940 1
 
1.6%
10 1
 
1.6%
330 1
 
1.6%
1815 1
 
1.6%

2020-11-19
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
3
130
 
1

Length

Max length4
Median length1
Mean length1.1746032
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row130

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 3
 
4.8%
130 1
 
1.6%

Length

2024-04-18T04:29:59.266362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:59.341579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 3
 
4.8%
130 1
 
1.6%

2020-11-18
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
3
2120
 
1
22660
 
1
12365
 
1

Length

Max length5
Median length1
Mean length1.3174603
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row2120
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 3
 
4.8%
2120 1
 
1.6%
22660 1
 
1.6%
12365 1
 
1.6%

Length

2024-04-18T04:29:59.427252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:59.511296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 3
 
4.8%
2120 1
 
1.6%
22660 1
 
1.6%
12365 1
 
1.6%

2020-11-17
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
2
90
 
1
31290
 
1
1190
 
1

Length

Max length5
Median length1
Mean length1.2222222
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 2
 
3.2%
90 1
 
1.6%
31290 1
 
1.6%
1190 1
 
1.6%

Length

2024-04-18T04:29:59.602849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:59.688120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 2
 
3.2%
90 1
 
1.6%
31290 1
 
1.6%
1190 1
 
1.6%

2020-11-16
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
2
33720
 
1
680
 
1
2430
 
1

Length

Max length5
Median length1
Mean length1.2380952
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row33720

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 2
 
3.2%
33720 1
 
1.6%
680 1
 
1.6%
2430 1
 
1.6%

Length

2024-04-18T04:29:59.778690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:29:59.862152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 2
 
3.2%
33720 1
 
1.6%
680 1
 
1.6%
2430 1
 
1.6%

2020-11-15
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)9.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1004.918
Minimum0
Maximum52380
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:29:59.934921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1990
Maximum52380
Range52380
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6717.594
Coefficient of variation (CV)6.6847183
Kurtosis59.860367
Mean1004.918
Median Absolute Deviation (MAD)0
Skewness7.7063993
Sum61300
Variance45126069
MonotonicityNot monotonic
2024-04-18T04:30:00.031599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 56
88.9%
3910 1
 
1.6%
52380 1
 
1.6%
1990 1
 
1.6%
590 1
 
1.6%
2430 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 56
88.9%
590 1
 
1.6%
1990 1
 
1.6%
2430 1
 
1.6%
3910 1
 
1.6%
52380 1
 
1.6%
ValueCountFrequency (%)
52380 1
 
1.6%
3910 1
 
1.6%
2430 1
 
1.6%
1990 1
 
1.6%
590 1
 
1.6%
0 56
88.9%

2020-11-14
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)10.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean468
Minimum0
Maximum13340
Zeros55
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:00.108912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1257
Maximum13340
Range13340
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2224.0273
Coefficient of variation (CV)4.7521952
Kurtosis27.481061
Mean468
Median Absolute Deviation (MAD)0
Skewness5.2778655
Sum28080
Variance4946297.6
MonotonicityNot monotonic
2024-04-18T04:30:00.192038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 55
87.3%
11040 1
 
1.6%
13340 1
 
1.6%
700 1
 
1.6%
1230 1
 
1.6%
1770 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 55
87.3%
700 1
 
1.6%
1230 1
 
1.6%
1770 1
 
1.6%
11040 1
 
1.6%
13340 1
 
1.6%
ValueCountFrequency (%)
13340 1
 
1.6%
11040 1
 
1.6%
1770 1
 
1.6%
1230 1
 
1.6%
700 1
 
1.6%
0 55
87.3%

2020-11-13
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean9956.6667
Minimum0
Maximum468585
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:00.271858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17370
Maximum468585
Range468585
Interquartile range (IQR)0

Descriptive statistics

Standard deviation60542.845
Coefficient of variation (CV)6.0806339
Kurtosis57.513461
Mean9956.6667
Median Absolute Deviation (MAD)0
Skewness7.500787
Sum607356.67
Variance3.6654361 × 109
MonotonicityNot monotonic
2024-04-18T04:30:00.352149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 52
82.5%
660.0 1
 
1.6%
468585.0 1
 
1.6%
51066.67 1
 
1.6%
17370.0 1
 
1.6%
58535.0 1
 
1.6%
7670.0 1
 
1.6%
460.0 1
 
1.6%
600.0 1
 
1.6%
2410.0 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 52
82.5%
460.0 1
 
1.6%
600.0 1
 
1.6%
660.0 1
 
1.6%
2410.0 1
 
1.6%
7670.0 1
 
1.6%
17370.0 1
 
1.6%
51066.67 1
 
1.6%
58535.0 1
 
1.6%
468585.0 1
 
1.6%
ValueCountFrequency (%)
468585.0 1
 
1.6%
58535.0 1
 
1.6%
51066.67 1
 
1.6%
17370.0 1
 
1.6%
7670.0 1
 
1.6%
2410.0 1
 
1.6%
660.0 1
 
1.6%
600.0 1
 
1.6%
460.0 1
 
1.6%
0.0 52
82.5%

2020-11-12
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean13937.623
Minimum0
Maximum567720
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:00.425598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18570
Maximum567720
Range567720
Interquartile range (IQR)0

Descriptive statistics

Standard deviation75033.224
Coefficient of variation (CV)5.3835022
Kurtosis51.643339
Mean13937.623
Median Absolute Deviation (MAD)0
Skewness7.0123969
Sum850195
Variance5.6299847 × 109
MonotonicityNot monotonic
2024-04-18T04:30:00.500518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 47
74.6%
10 2
 
3.2%
2165 1
 
1.6%
567720 1
 
1.6%
93455 1
 
1.6%
540 1
 
1.6%
16770 1
 
1.6%
133735 1
 
1.6%
845 1
 
1.6%
6120 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 47
74.6%
10 2
 
3.2%
540 1
 
1.6%
845 1
 
1.6%
930 1
 
1.6%
2165 1
 
1.6%
2390 1
 
1.6%
6120 1
 
1.6%
6935 1
 
1.6%
16770 1
 
1.6%
ValueCountFrequency (%)
567720 1
1.6%
133735 1
1.6%
93455 1
1.6%
18570 1
1.6%
16770 1
1.6%
6935 1
1.6%
6120 1
1.6%
2390 1
1.6%
2165 1
1.6%
930 1
1.6%

2020-11-11
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)24.6%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean5045.2185
Minimum0
Maximum95710
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:00.581621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25495
Maximum95710
Range95710
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17806.874
Coefficient of variation (CV)3.5294555
Kurtosis17.95309
Mean5045.2185
Median Absolute Deviation (MAD)0
Skewness4.2504751
Sum307758.33
Variance3.1708477 × 108
MonotonicityNot monotonic
2024-04-18T04:30:00.662905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 47
74.6%
57105.0 1
 
1.6%
7670.0 1
 
1.6%
11910.0 1
 
1.6%
95710.0 1
 
1.6%
840.0 1
 
1.6%
3550.0 1
 
1.6%
350.0 1
 
1.6%
84620.0 1
 
1.6%
683.33 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 47
74.6%
220.0 1
 
1.6%
350.0 1
 
1.6%
683.33 1
 
1.6%
840.0 1
 
1.6%
3550.0 1
 
1.6%
5425.0 1
 
1.6%
6290.0 1
 
1.6%
7670.0 1
 
1.6%
7890.0 1
 
1.6%
ValueCountFrequency (%)
95710.0 1
1.6%
84620.0 1
1.6%
57105.0 1
1.6%
25495.0 1
1.6%
11910.0 1
1.6%
7890.0 1
1.6%
7670.0 1
1.6%
6290.0 1
1.6%
5425.0 1
1.6%
3550.0 1
1.6%

2020-11-10
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2733.1148
Minimum0
Maximum91855
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:00.740549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7270
Maximum91855
Range91855
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12751.89
Coefficient of variation (CV)4.6656986
Kurtosis41.759921
Mean2733.1148
Median Absolute Deviation (MAD)0
Skewness6.2296337
Sum166720
Variance1.6261069 × 108
MonotonicityNot monotonic
2024-04-18T04:30:00.817259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
91855 1
 
1.6%
36735 1
 
1.6%
1680 1
 
1.6%
17735 1
 
1.6%
7270 1
 
1.6%
860 1
 
1.6%
6915 1
 
1.6%
1900 1
 
1.6%
1770 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
860 1
 
1.6%
1680 1
 
1.6%
1770 1
 
1.6%
1900 1
 
1.6%
6915 1
 
1.6%
7270 1
 
1.6%
17735 1
 
1.6%
36735 1
 
1.6%
91855 1
 
1.6%
ValueCountFrequency (%)
91855 1
 
1.6%
36735 1
 
1.6%
17735 1
 
1.6%
7270 1
 
1.6%
6915 1
 
1.6%
1900 1
 
1.6%
1770 1
 
1.6%
1680 1
 
1.6%
860 1
 
1.6%
0 52
82.5%

2020-11-09
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)14.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1085.2459
Minimum0
Maximum41735
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:00.892676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4000
Maximum41735
Range41735
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5451.9359
Coefficient of variation (CV)5.0236871
Kurtosis53.80467
Mean1085.2459
Median Absolute Deviation (MAD)0
Skewness7.1686826
Sum66200
Variance29723605
MonotonicityNot monotonic
2024-04-18T04:30:00.965584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 53
84.1%
41735 1
 
1.6%
6295 1
 
1.6%
3080 1
 
1.6%
690 1
 
1.6%
6250 1
 
1.6%
4000 1
 
1.6%
1770 1
 
1.6%
2380 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 53
84.1%
690 1
 
1.6%
1770 1
 
1.6%
2380 1
 
1.6%
3080 1
 
1.6%
4000 1
 
1.6%
6250 1
 
1.6%
6295 1
 
1.6%
41735 1
 
1.6%
ValueCountFrequency (%)
41735 1
 
1.6%
6295 1
 
1.6%
6250 1
 
1.6%
4000 1
 
1.6%
3080 1
 
1.6%
2380 1
 
1.6%
1770 1
 
1.6%
690 1
 
1.6%
0 53
84.1%

2020-11-08
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
2
7860
 
1
110475
 
1
920
 
1

Length

Max length6
Median length1
Mean length1.3015873
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row7860

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 2
 
3.2%
7860 1
 
1.6%
110475 1
 
1.6%
920 1
 
1.6%
7870 1
 
1.6%

Length

2024-04-18T04:30:01.326352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:01.412474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 2
 
3.2%
7860 1
 
1.6%
110475 1
 
1.6%
920 1
 
1.6%
7870 1
 
1.6%

2020-11-07
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)13.1%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1425.3279
Minimum0
Maximum64445
Zeros54
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:01.486546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3550
Maximum64445
Range64445
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8312.5193
Coefficient of variation (CV)5.832005
Kurtosis57.7018
Mean1425.3279
Median Absolute Deviation (MAD)0
Skewness7.5134664
Sum86945
Variance69097977
MonotonicityNot monotonic
2024-04-18T04:30:01.563017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 54
85.7%
6660 1
 
1.6%
2375 1
 
1.6%
64445 1
 
1.6%
570 1
 
1.6%
6915 1
 
1.6%
2430 1
 
1.6%
3550 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 54
85.7%
570 1
 
1.6%
2375 1
 
1.6%
2430 1
 
1.6%
3550 1
 
1.6%
6660 1
 
1.6%
6915 1
 
1.6%
64445 1
 
1.6%
ValueCountFrequency (%)
64445 1
 
1.6%
6915 1
 
1.6%
6660 1
 
1.6%
3550 1
 
1.6%
2430 1
 
1.6%
2375 1
 
1.6%
570 1
 
1.6%
0 54
85.7%

2020-11-06
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean692.13115
Minimum0
Maximum7455
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:01.640481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6190
Maximum7455
Range7455
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1947.5783
Coefficient of variation (CV)2.8138862
Kurtosis6.3228543
Mean692.13115
Median Absolute Deviation (MAD)0
Skewness2.7661537
Sum42220
Variance3793061.2
MonotonicityNot monotonic
2024-04-18T04:30:01.720039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
7170 1
 
1.6%
6060 1
 
1.6%
7110 1
 
1.6%
100 1
 
1.6%
7455 1
 
1.6%
6190 1
 
1.6%
1565 1
 
1.6%
3590 1
 
1.6%
2980 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
100 1
 
1.6%
1565 1
 
1.6%
2980 1
 
1.6%
3590 1
 
1.6%
6060 1
 
1.6%
6190 1
 
1.6%
7110 1
 
1.6%
7170 1
 
1.6%
7455 1
 
1.6%
ValueCountFrequency (%)
7455 1
 
1.6%
7170 1
 
1.6%
7110 1
 
1.6%
6190 1
 
1.6%
6060 1
 
1.6%
3590 1
 
1.6%
2980 1
 
1.6%
1565 1
 
1.6%
100 1
 
1.6%
0 52
82.5%

2020-11-05
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean934.2623
Minimum0
Maximum17510
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:01.798627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6895
Maximum17510
Range17510
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3173.6812
Coefficient of variation (CV)3.3969916
Kurtosis15.870039
Mean934.2623
Median Absolute Deviation (MAD)0
Skewness3.9380334
Sum56990
Variance10072252
MonotonicityNot monotonic
2024-04-18T04:30:01.876862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
1830 1
 
1.6%
1960 1
 
1.6%
40 1
 
1.6%
17510 1
 
1.6%
740 1
 
1.6%
4720 1
 
1.6%
6895 1
 
1.6%
10625 1
 
1.6%
12670 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
40 1
 
1.6%
740 1
 
1.6%
1830 1
 
1.6%
1960 1
 
1.6%
4720 1
 
1.6%
6895 1
 
1.6%
10625 1
 
1.6%
12670 1
 
1.6%
17510 1
 
1.6%
ValueCountFrequency (%)
17510 1
 
1.6%
12670 1
 
1.6%
10625 1
 
1.6%
6895 1
 
1.6%
4720 1
 
1.6%
1960 1
 
1.6%
1830 1
 
1.6%
740 1
 
1.6%
40 1
 
1.6%
0 52
82.5%

2020-11-04
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean21089.754
Minimum0
Maximum1240315
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:01.982651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6260
Maximum1240315
Range1240315
Interquartile range (IQR)0

Descriptive statistics

Standard deviation158731.86
Coefficient of variation (CV)7.5264918
Kurtosis60.960743
Mean21089.754
Median Absolute Deviation (MAD)0
Skewness7.8065671
Sum1286475
Variance2.5195804 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:02.095300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
1930 1
 
1.6%
1860 1
 
1.6%
2840 1
 
1.6%
985 1
 
1.6%
1240315 1
 
1.6%
17325 1
 
1.6%
6260 1
 
1.6%
11410 1
 
1.6%
3550 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
985 1
 
1.6%
1860 1
 
1.6%
1930 1
 
1.6%
2840 1
 
1.6%
3550 1
 
1.6%
6260 1
 
1.6%
11410 1
 
1.6%
17325 1
 
1.6%
1240315 1
 
1.6%
ValueCountFrequency (%)
1240315 1
 
1.6%
17325 1
 
1.6%
11410 1
 
1.6%
6260 1
 
1.6%
3550 1
 
1.6%
2840 1
 
1.6%
1930 1
 
1.6%
1860 1
 
1.6%
985 1
 
1.6%
0 52
82.5%

2020-11-03
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)13.1%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean33252.459
Minimum0
Maximum1999290
Zeros54
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:02.186936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2450
Maximum1999290
Range1999290
Interquartile range (IQR)0

Descriptive statistics

Standard deviation255932.32
Coefficient of variation (CV)7.6966434
Kurtosis60.988393
Mean33252.459
Median Absolute Deviation (MAD)0
Skewness7.8091589
Sum2028400
Variance6.5501351 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:02.274629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 54
85.7%
2450 1
 
1.6%
17745 1
 
1.6%
805 1
 
1.6%
1999290 1
 
1.6%
6840 1
 
1.6%
1240 1
 
1.6%
30 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 54
85.7%
30 1
 
1.6%
805 1
 
1.6%
1240 1
 
1.6%
2450 1
 
1.6%
6840 1
 
1.6%
17745 1
 
1.6%
1999290 1
 
1.6%
ValueCountFrequency (%)
1999290 1
 
1.6%
17745 1
 
1.6%
6840 1
 
1.6%
2450 1
 
1.6%
1240 1
 
1.6%
805 1
 
1.6%
30 1
 
1.6%
0 54
85.7%

2020-11-02
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.7%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean25606
Minimum0
Maximum1515130
Zeros54
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:02.364344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2153.5
Maximum1515130
Range1515130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation195562.4
Coefficient of variation (CV)7.6373662
Kurtosis59.991723
Mean25606
Median Absolute Deviation (MAD)0
Skewness7.7451815
Sum1536360
Variance3.8244652 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:02.449594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 54
85.7%
1940 1
 
1.6%
10460 1
 
1.6%
850 1
 
1.6%
1515130 1
 
1.6%
6210 1
 
1.6%
1770 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 54
85.7%
850 1
 
1.6%
1770 1
 
1.6%
1940 1
 
1.6%
6210 1
 
1.6%
10460 1
 
1.6%
1515130 1
 
1.6%
ValueCountFrequency (%)
1515130 1
 
1.6%
10460 1
 
1.6%
6210 1
 
1.6%
1940 1
 
1.6%
1770 1
 
1.6%
850 1
 
1.6%
0 54
85.7%

2020-11-01
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
56 
<NA>
 
3
2965
 
1
12830
 
1
16365
 
1

Length

Max length5
Median length1
Mean length1.3492063
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 56
88.9%
<NA> 3
 
4.8%
2965 1
 
1.6%
12830 1
 
1.6%
16365 1
 
1.6%
460 1
 
1.6%

Length

2024-04-18T04:30:02.550967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:02.638860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
88.9%
na 3
 
4.8%
2965 1
 
1.6%
12830 1
 
1.6%
16365 1
 
1.6%
460 1
 
1.6%

2020-10-31
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2386.7213
Minimum0
Maximum75405
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:02.724712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7565
Maximum75405
Range75405
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10111.98
Coefficient of variation (CV)4.2367663
Kurtosis47.131793
Mean2386.7213
Median Absolute Deviation (MAD)0
Skewness6.6004809
Sum145590
Variance1.0225215 × 108
MonotonicityNot monotonic
2024-04-18T04:30:02.806779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 48
76.2%
5175 1
 
1.6%
3930 1
 
1.6%
5530 1
 
1.6%
2310 1
 
1.6%
1880 1
 
1.6%
19785 1
 
1.6%
14700 1
 
1.6%
75405 1
 
1.6%
450 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 48
76.2%
260 1
 
1.6%
450 1
 
1.6%
1750 1
 
1.6%
1880 1
 
1.6%
2310 1
 
1.6%
3930 1
 
1.6%
5175 1
 
1.6%
5530 1
 
1.6%
6850 1
 
1.6%
ValueCountFrequency (%)
75405 1
1.6%
19785 1
1.6%
14700 1
1.6%
7565 1
1.6%
6850 1
1.6%
5530 1
1.6%
5175 1
1.6%
3930 1
1.6%
2310 1
1.6%
1880 1
1.6%

2020-10-30
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.3%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean3379
Minimum0
Maximum130505
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:02.890910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10474.75
Maximum130505
Range130505
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17028.911
Coefficient of variation (CV)5.0396304
Kurtosis55.130851
Mean3379
Median Absolute Deviation (MAD)0
Skewness7.3009657
Sum202740
Variance2.8998382 × 108
MonotonicityNot monotonic
2024-04-18T04:30:02.994456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 47
74.6%
910 1
 
1.6%
260 1
 
1.6%
10215 1
 
1.6%
2645 1
 
1.6%
9875 1
 
1.6%
10435 1
 
1.6%
130505 1
 
1.6%
130 1
 
1.6%
720 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 47
74.6%
130 1
 
1.6%
260 1
 
1.6%
720 1
 
1.6%
910 1
 
1.6%
2645 1
 
1.6%
3210 1
 
1.6%
6230 1
 
1.6%
9875 1
 
1.6%
10215 1
 
1.6%
ValueCountFrequency (%)
130505 1
1.6%
16375 1
1.6%
11230 1
1.6%
10435 1
1.6%
10215 1
1.6%
9875 1
1.6%
6230 1
1.6%
3210 1
1.6%
2645 1
1.6%
910 1
1.6%

2020-10-29
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2113.388
Minimum0
Maximum48940
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:03.075659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10630
Maximum48940
Range48940
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7230.7775
Coefficient of variation (CV)3.421415
Kurtosis30.481445
Mean2113.388
Median Absolute Deviation (MAD)0
Skewness5.1662318
Sum128916.67
Variance52284143
MonotonicityNot monotonic
2024-04-18T04:30:03.162849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 48
76.2%
640.0 1
 
1.6%
10630.0 1
 
1.6%
19435.0 1
 
1.6%
48940.0 1
 
1.6%
4385.0 1
 
1.6%
816.67 1
 
1.6%
7335.0 1
 
1.6%
6940.0 1
 
1.6%
19255.0 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 48
76.2%
640.0 1
 
1.6%
816.67 1
 
1.6%
1760.0 1
 
1.6%
2290.0 1
 
1.6%
2460.0 1
 
1.6%
4030.0 1
 
1.6%
4385.0 1
 
1.6%
6940.0 1
 
1.6%
7335.0 1
 
1.6%
ValueCountFrequency (%)
48940.0 1
1.6%
19435.0 1
1.6%
19255.0 1
1.6%
10630.0 1
1.6%
7335.0 1
1.6%
6940.0 1
1.6%
4385.0 1
1.6%
4030.0 1
1.6%
2460.0 1
1.6%
2290.0 1
1.6%

2020-10-28
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.3%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean10442.377
Minimum0
Maximum548715
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:03.240652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7495
Maximum548715
Range548715
Interquartile range (IQR)0

Descriptive statistics

Standard deviation70288.587
Coefficient of variation (CV)6.7310907
Kurtosis60.197016
Mean10442.377
Median Absolute Deviation (MAD)0
Skewness7.7372963
Sum636985
Variance4.9404854 × 109
MonotonicityNot monotonic
2024-04-18T04:30:03.314316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 48
76.2%
920 2
 
3.2%
280 1
 
1.6%
1835 1
 
1.6%
5840 1
 
1.6%
60 1
 
1.6%
11525 1
 
1.6%
7495 1
 
1.6%
548715 1
 
1.6%
6190 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 48
76.2%
60 1
 
1.6%
280 1
 
1.6%
920 2
 
3.2%
1835 1
 
1.6%
5510 1
 
1.6%
5840 1
 
1.6%
6190 1
 
1.6%
7140 1
 
1.6%
7495 1
 
1.6%
ValueCountFrequency (%)
548715 1
1.6%
40555 1
1.6%
11525 1
1.6%
7495 1
1.6%
7140 1
1.6%
6190 1
1.6%
5840 1
1.6%
5510 1
1.6%
1835 1
1.6%
920 2
3.2%

2020-10-27
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2529.0984
Minimum0
Maximum120335
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:03.418549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7105
Maximum120335
Range120335
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15484.476
Coefficient of variation (CV)6.122528
Kurtosis58.560422
Mean2529.0984
Median Absolute Deviation (MAD)0
Skewness7.5901284
Sum154275
Variance2.3976898 × 108
MonotonicityNot monotonic
2024-04-18T04:30:03.522294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
7105 1
 
1.6%
20 1
 
1.6%
10395 1
 
1.6%
11420 1
 
1.6%
680 1
 
1.6%
1360 1
 
1.6%
120335 1
 
1.6%
1200 1
 
1.6%
1760 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
20 1
 
1.6%
680 1
 
1.6%
1200 1
 
1.6%
1360 1
 
1.6%
1760 1
 
1.6%
7105 1
 
1.6%
10395 1
 
1.6%
11420 1
 
1.6%
120335 1
 
1.6%
ValueCountFrequency (%)
120335 1
 
1.6%
11420 1
 
1.6%
10395 1
 
1.6%
7105 1
 
1.6%
1760 1
 
1.6%
1360 1
 
1.6%
1200 1
 
1.6%
680 1
 
1.6%
20 1
 
1.6%
0 52
82.5%

2020-10-26
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean3263.4192
Minimum0
Maximum120138.57
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:03.604175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6405
Maximum120138.57
Range120138.57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16018.148
Coefficient of variation (CV)4.9083943
Kurtosis49.295456
Mean3263.4192
Median Absolute Deviation (MAD)0
Skewness6.8177438
Sum199068.57
Variance2.5658106 × 108
MonotonicityNot monotonic
2024-04-18T04:30:03.689984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 48
76.2%
1620.0 1
 
1.6%
2730.0 1
 
1.6%
5560.0 1
 
1.6%
2720.0 1
 
1.6%
6405.0 1
 
1.6%
32985.0 1
 
1.6%
20450.0 1
 
1.6%
70.0 1
 
1.6%
1010.0 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 48
76.2%
10.0 1
 
1.6%
70.0 1
 
1.6%
1010.0 1
 
1.6%
1620.0 1
 
1.6%
2400.0 1
 
1.6%
2720.0 1
 
1.6%
2730.0 1
 
1.6%
2970.0 1
 
1.6%
5560.0 1
 
1.6%
ValueCountFrequency (%)
120138.57 1
1.6%
32985.0 1
1.6%
20450.0 1
1.6%
6405.0 1
1.6%
5560.0 1
1.6%
2970.0 1
1.6%
2730.0 1
1.6%
2720.0 1
1.6%
2400.0 1
1.6%
1620.0 1
1.6%

2020-10-25
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2444.2623
Minimum0
Maximum71290
Zeros51
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:03.770527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13630
Maximum71290
Range71290
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9821.5667
Coefficient of variation (CV)4.0182131
Kurtosis41.620048
Mean2444.2623
Median Absolute Deviation (MAD)0
Skewness6.1091235
Sum149100
Variance96463172
MonotonicityNot monotonic
2024-04-18T04:30:03.847083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 51
81.0%
3660 1
 
1.6%
18225 1
 
1.6%
8610 1
 
1.6%
10320 1
 
1.6%
18675 1
 
1.6%
13630 1
 
1.6%
500 1
 
1.6%
71290 1
 
1.6%
2430 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 51
81.0%
500 1
 
1.6%
1760 1
 
1.6%
2430 1
 
1.6%
3660 1
 
1.6%
8610 1
 
1.6%
10320 1
 
1.6%
13630 1
 
1.6%
18225 1
 
1.6%
18675 1
 
1.6%
ValueCountFrequency (%)
71290 1
1.6%
18675 1
1.6%
18225 1
1.6%
13630 1
1.6%
10320 1
1.6%
8610 1
1.6%
3660 1
1.6%
2430 1
1.6%
1760 1
1.6%
500 1
1.6%

2020-10-24
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.1%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1169.8118
Minimum0
Maximum33895
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:03.924797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6429.5
Maximum33895
Range33895
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4660.9198
Coefficient of variation (CV)3.9843331
Kurtosis41.206424
Mean1169.8118
Median Absolute Deviation (MAD)0
Skewness6.0692682
Sum72528.33
Variance21724173
MonotonicityNot monotonic
2024-04-18T04:30:04.002623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 53
84.1%
7170.0 1
 
1.6%
2110.0 1
 
1.6%
2720.0 1
 
1.6%
33895.0 1
 
1.6%
6440.0 1
 
1.6%
10520.0 1
 
1.6%
6230.0 1
 
1.6%
1013.33 1
 
1.6%
2430.0 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0.0 53
84.1%
1013.33 1
 
1.6%
2110.0 1
 
1.6%
2430.0 1
 
1.6%
2720.0 1
 
1.6%
6230.0 1
 
1.6%
6440.0 1
 
1.6%
7170.0 1
 
1.6%
10520.0 1
 
1.6%
33895.0 1
 
1.6%
ValueCountFrequency (%)
33895.0 1
 
1.6%
10520.0 1
 
1.6%
7170.0 1
 
1.6%
6440.0 1
 
1.6%
6230.0 1
 
1.6%
2720.0 1
 
1.6%
2430.0 1
 
1.6%
2110.0 1
 
1.6%
1013.33 1
 
1.6%
0.0 53
84.1%

2020-10-23
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.3%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean631.85484
Minimum0
Maximum20695
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:04.080721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1222.5
Maximum20695
Range20695
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3104.5353
Coefficient of variation (CV)4.913368
Kurtosis33.276356
Mean631.85484
Median Absolute Deviation (MAD)0
Skewness5.6956696
Sum39175
Variance9638139.5
MonotonicityNot monotonic
2024-04-18T04:30:04.152652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 56
88.9%
2670 1
 
1.6%
13210 1
 
1.6%
20695 1
 
1.6%
290 1
 
1.6%
1080 1
 
1.6%
1230 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0 56
88.9%
290 1
 
1.6%
1080 1
 
1.6%
1230 1
 
1.6%
2670 1
 
1.6%
13210 1
 
1.6%
20695 1
 
1.6%
ValueCountFrequency (%)
20695 1
 
1.6%
13210 1
 
1.6%
2670 1
 
1.6%
1230 1
 
1.6%
1080 1
 
1.6%
290 1
 
1.6%
0 56
88.9%

2020-10-22
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.1%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean447.66129
Minimum0
Maximum10445
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:04.231873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2619.5
Maximum10445
Range10445
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1542.8539
Coefficient of variation (CV)3.446476
Kurtosis29.912936
Mean447.66129
Median Absolute Deviation (MAD)0
Skewness5.0760514
Sum27755
Variance2380398.1
MonotonicityNot monotonic
2024-04-18T04:30:04.308889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 53
84.1%
1490 1
 
1.6%
940 1
 
1.6%
4580 1
 
1.6%
2630 1
 
1.6%
2840 1
 
1.6%
10445 1
 
1.6%
610 1
 
1.6%
2420 1
 
1.6%
1800 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0 53
84.1%
610 1
 
1.6%
940 1
 
1.6%
1490 1
 
1.6%
1800 1
 
1.6%
2420 1
 
1.6%
2630 1
 
1.6%
2840 1
 
1.6%
4580 1
 
1.6%
10445 1
 
1.6%
ValueCountFrequency (%)
10445 1
 
1.6%
4580 1
 
1.6%
2840 1
 
1.6%
2630 1
 
1.6%
2420 1
 
1.6%
1800 1
 
1.6%
1490 1
 
1.6%
940 1
 
1.6%
610 1
 
1.6%
0 53
84.1%

2020-10-21
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.3%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1403.3065
Minimum0
Maximum60905
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:04.380594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3337.5
Maximum60905
Range60905
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7912.0806
Coefficient of variation (CV)5.6381702
Kurtosis54.799968
Mean1403.3065
Median Absolute Deviation (MAD)0
Skewness7.2612541
Sum87005
Variance62601020
MonotonicityNot monotonic
2024-04-18T04:30:04.458316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 56
88.9%
13335 1
 
1.6%
60905 1
 
1.6%
5985 1
 
1.6%
1230 1
 
1.6%
3400 1
 
1.6%
2150 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0 56
88.9%
1230 1
 
1.6%
2150 1
 
1.6%
3400 1
 
1.6%
5985 1
 
1.6%
13335 1
 
1.6%
60905 1
 
1.6%
ValueCountFrequency (%)
60905 1
 
1.6%
13335 1
 
1.6%
5985 1
 
1.6%
3400 1
 
1.6%
2150 1
 
1.6%
1230 1
 
1.6%
0 56
88.9%

2020-10-20
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)14.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2682.0492
Minimum0
Maximum130575
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:04.537907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4730
Maximum130575
Range130575
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16821.586
Coefficient of variation (CV)6.2719155
Kurtosis58.402747
Mean2682.0492
Median Absolute Deviation (MAD)0
Skewness7.5808313
Sum163605
Variance2.8296575 × 108
MonotonicityNot monotonic
2024-04-18T04:30:04.621526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 53
84.1%
4730 1
 
1.6%
2560 1
 
1.6%
5355 1
 
1.6%
17415 1
 
1.6%
130575 1
 
1.6%
20 1
 
1.6%
560 1
 
1.6%
2390 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 53
84.1%
20 1
 
1.6%
560 1
 
1.6%
2390 1
 
1.6%
2560 1
 
1.6%
4730 1
 
1.6%
5355 1
 
1.6%
17415 1
 
1.6%
130575 1
 
1.6%
ValueCountFrequency (%)
130575 1
 
1.6%
17415 1
 
1.6%
5355 1
 
1.6%
4730 1
 
1.6%
2560 1
 
1.6%
2390 1
 
1.6%
560 1
 
1.6%
20 1
 
1.6%
0 53
84.1%

2020-10-19
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2541.5456
Minimum0
Maximum80468.57
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:04.704721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10175
Maximum80468.57
Range80468.57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10612.927
Coefficient of variation (CV)4.1757768
Kurtosis50.432356
Mean2541.5456
Median Absolute Deviation (MAD)0
Skewness6.8566959
Sum155034.28
Variance1.1263422 × 108
MonotonicityNot monotonic
2024-04-18T04:30:04.796055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 48
76.2%
4325.0 1
 
1.6%
3435.0 1
 
1.6%
2560.0 1
 
1.6%
13250.71 1
 
1.6%
10175.0 1
 
1.6%
80468.57 1
 
1.6%
10070.0 1
 
1.6%
750.0 1
 
1.6%
11715.0 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 48
76.2%
750.0 1
 
1.6%
1230.0 1
 
1.6%
2560.0 1
 
1.6%
3400.0 1
 
1.6%
3435.0 1
 
1.6%
4070.0 1
 
1.6%
4325.0 1
 
1.6%
9585.0 1
 
1.6%
10070.0 1
 
1.6%
ValueCountFrequency (%)
80468.57 1
1.6%
13250.71 1
1.6%
11715.0 1
1.6%
10175.0 1
1.6%
10070.0 1
1.6%
9585.0 1
1.6%
4325.0 1
1.6%
4070.0 1
1.6%
3435.0 1
1.6%
3400.0 1
1.6%

2020-10-18
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2040.041
Minimum0
Maximum62665
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:04.879832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10660
Maximum62665
Range62665
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8581.7582
Coefficient of variation (CV)4.2066597
Kurtosis43.027359
Mean2040.041
Median Absolute Deviation (MAD)0
Skewness6.2448717
Sum124442.5
Variance73646574
MonotonicityNot monotonic
2024-04-18T04:30:04.955076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 52
82.5%
2390.0 1
 
1.6%
62665.0 1
 
1.6%
10660.0 1
 
1.6%
4317.5 1
 
1.6%
15100.0 1
 
1.6%
8830.0 1
 
1.6%
17190.0 1
 
1.6%
980.0 1
 
1.6%
2310.0 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 52
82.5%
980.0 1
 
1.6%
2310.0 1
 
1.6%
2390.0 1
 
1.6%
4317.5 1
 
1.6%
8830.0 1
 
1.6%
10660.0 1
 
1.6%
15100.0 1
 
1.6%
17190.0 1
 
1.6%
62665.0 1
 
1.6%
ValueCountFrequency (%)
62665.0 1
 
1.6%
17190.0 1
 
1.6%
15100.0 1
 
1.6%
10660.0 1
 
1.6%
8830.0 1
 
1.6%
4317.5 1
 
1.6%
2390.0 1
 
1.6%
2310.0 1
 
1.6%
980.0 1
 
1.6%
0.0 52
82.5%

2020-10-17
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.3%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1027.7869
Minimum0
Maximum17040
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:05.054370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5950
Maximum17040
Range17040
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2941.2807
Coefficient of variation (CV)2.8617613
Kurtosis16.045433
Mean1027.7869
Median Absolute Deviation (MAD)0
Skewness3.7803444
Sum62695
Variance8651132.1
MonotonicityNot monotonic
2024-04-18T04:30:05.138421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 48
76.2%
10 2
 
3.2%
2760 1
 
1.6%
3410 1
 
1.6%
3300 1
 
1.6%
5655 1
 
1.6%
9070 1
 
1.6%
17040 1
 
1.6%
10150 1
 
1.6%
1120 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 48
76.2%
10 2
 
3.2%
1120 1
 
1.6%
1810 1
 
1.6%
2410 1
 
1.6%
2760 1
 
1.6%
3300 1
 
1.6%
3410 1
 
1.6%
5655 1
 
1.6%
5950 1
 
1.6%
ValueCountFrequency (%)
17040 1
1.6%
10150 1
1.6%
9070 1
1.6%
5950 1
1.6%
5655 1
1.6%
3410 1
1.6%
3300 1
1.6%
2760 1
1.6%
2410 1
1.6%
1810 1
1.6%

2020-10-16
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)14.5%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1521.7205
Minimum0
Maximum20385
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:05.222391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12635
Maximum20385
Range20385
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4659.523
Coefficient of variation (CV)3.0620098
Kurtosis9.6164052
Mean1521.7205
Median Absolute Deviation (MAD)0
Skewness3.2477994
Sum94346.67
Variance21711155
MonotonicityNot monotonic
2024-04-18T04:30:05.322456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 53
84.1%
12635.0 2
 
3.2%
4275.0 1
 
1.6%
3905.0 1
 
1.6%
17175.0 1
 
1.6%
20385.0 1
 
1.6%
19946.67 1
 
1.6%
2400.0 1
 
1.6%
990.0 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0.0 53
84.1%
990.0 1
 
1.6%
2400.0 1
 
1.6%
3905.0 1
 
1.6%
4275.0 1
 
1.6%
12635.0 2
 
3.2%
17175.0 1
 
1.6%
19946.67 1
 
1.6%
20385.0 1
 
1.6%
ValueCountFrequency (%)
20385.0 1
 
1.6%
19946.67 1
 
1.6%
17175.0 1
 
1.6%
12635.0 2
 
3.2%
4275.0 1
 
1.6%
3905.0 1
 
1.6%
2400.0 1
 
1.6%
990.0 1
 
1.6%
0.0 53
84.1%

2020-10-15
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)22.6%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1455.6721
Minimum0
Maximum32566.67
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:05.429744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5989.5
Maximum32566.67
Range32566.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4978.7072
Coefficient of variation (CV)3.420212
Kurtosis27.201997
Mean1455.6721
Median Absolute Deviation (MAD)0
Skewness4.9359344
Sum90251.67
Variance24787525
MonotonicityNot monotonic
2024-04-18T04:30:05.520577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 49
77.8%
250.0 1
 
1.6%
5995.0 1
 
1.6%
5885.0 1
 
1.6%
18630.0 1
 
1.6%
3460.0 1
 
1.6%
10265.0 1
 
1.6%
260.0 1
 
1.6%
32566.67 1
 
1.6%
660.0 1
 
1.6%
Other values (4) 4
 
6.3%
ValueCountFrequency (%)
0.0 49
77.8%
250.0 1
 
1.6%
260.0 1
 
1.6%
660.0 1
 
1.6%
1210.0 1
 
1.6%
1970.0 1
 
1.6%
3460.0 1
 
1.6%
4040.0 1
 
1.6%
5060.0 1
 
1.6%
5885.0 1
 
1.6%
ValueCountFrequency (%)
32566.67 1
1.6%
18630.0 1
1.6%
10265.0 1
1.6%
5995.0 1
1.6%
5885.0 1
1.6%
5060.0 1
1.6%
4040.0 1
1.6%
3460.0 1
1.6%
1970.0 1
1.6%
1210.0 1
1.6%

2020-10-14
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)17.7%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1331.2097
Minimum0
Maximum36570
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:05.596280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5398.5
Maximum36570
Range36570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5379.8629
Coefficient of variation (CV)4.0413339
Kurtosis33.10068
Mean1331.2097
Median Absolute Deviation (MAD)0
Skewness5.5436122
Sum82535
Variance28942924
MonotonicityNot monotonic
2024-04-18T04:30:05.674116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 52
82.5%
4090 1
 
1.6%
5440 1
 
1.6%
2250 1
 
1.6%
40 1
 
1.6%
1815 1
 
1.6%
20525 1
 
1.6%
36570 1
 
1.6%
865 1
 
1.6%
6330 1
 
1.6%
ValueCountFrequency (%)
0 52
82.5%
40 1
 
1.6%
865 1
 
1.6%
1815 1
 
1.6%
2250 1
 
1.6%
4090 1
 
1.6%
4610 1
 
1.6%
5440 1
 
1.6%
6330 1
 
1.6%
20525 1
 
1.6%
ValueCountFrequency (%)
36570 1
1.6%
20525 1
1.6%
6330 1
1.6%
5440 1
1.6%
4610 1
1.6%
4090 1
1.6%
2250 1
1.6%
1815 1
1.6%
865 1
1.6%
40 1
1.6%

2020-10-13
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1057.7419
Minimum0
Maximum18565
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:05.754452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3396.5
Maximum18565
Range18565
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3418.1264
Coefficient of variation (CV)3.2315315
Kurtosis17.981935
Mean1057.7419
Median Absolute Deviation (MAD)0
Skewness4.1937347
Sum65580
Variance11683588
MonotonicityNot monotonic
2024-04-18T04:30:05.835892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 49
77.8%
10 2
 
3.2%
3015 1
 
1.6%
3400 1
 
1.6%
2390 1
 
1.6%
3330 1
 
1.6%
2225 1
 
1.6%
10365 1
 
1.6%
18565 1
 
1.6%
700 1
 
1.6%
Other values (3) 3
 
4.8%
ValueCountFrequency (%)
0 49
77.8%
10 2
 
3.2%
700 1
 
1.6%
2225 1
 
1.6%
2390 1
 
1.6%
2410 1
 
1.6%
2590 1
 
1.6%
3015 1
 
1.6%
3330 1
 
1.6%
3400 1
 
1.6%
ValueCountFrequency (%)
18565 1
1.6%
16570 1
1.6%
10365 1
1.6%
3400 1
1.6%
3330 1
1.6%
3015 1
1.6%
2590 1
1.6%
2410 1
1.6%
2390 1
1.6%
2225 1
1.6%

2020-10-12
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)15.5%
Missing5
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean2257.7586
Minimum0
Maximum62205
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:05.914441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6688.25
Maximum62205
Range62205
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9871.3669
Coefficient of variation (CV)4.3721977
Kurtosis28.651665
Mean2257.7586
Median Absolute Deviation (MAD)0
Skewness5.2856383
Sum130950
Variance97443885
MonotonicityNot monotonic
2024-04-18T04:30:05.989597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 50
79.4%
5190 1
 
1.6%
10 1
 
1.6%
4110 1
 
1.6%
10390 1
 
1.6%
62205 1
 
1.6%
680 1
 
1.6%
42330 1
 
1.6%
6035 1
 
1.6%
(Missing) 5
 
7.9%
ValueCountFrequency (%)
0 50
79.4%
10 1
 
1.6%
680 1
 
1.6%
4110 1
 
1.6%
5190 1
 
1.6%
6035 1
 
1.6%
10390 1
 
1.6%
42330 1
 
1.6%
62205 1
 
1.6%
ValueCountFrequency (%)
62205 1
 
1.6%
42330 1
 
1.6%
10390 1
 
1.6%
6035 1
 
1.6%
5190 1
 
1.6%
4110 1
 
1.6%
680 1
 
1.6%
10 1
 
1.6%
0 50
79.4%

2020-10-11
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)15.5%
Missing5
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1239.3103
Minimum0
Maximum36720
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:06.067540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4750
Maximum36720
Range36720
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5420.05
Coefficient of variation (CV)4.3734405
Kurtosis34.655234
Mean1239.3103
Median Absolute Deviation (MAD)0
Skewness5.6899046
Sum71880
Variance29376942
MonotonicityNot monotonic
2024-04-18T04:30:06.146869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 50
79.4%
36720 1
 
1.6%
4050 1
 
1.6%
4630 1
 
1.6%
5430 1
 
1.6%
18515 1
 
1.6%
290 1
 
1.6%
2235 1
 
1.6%
10 1
 
1.6%
(Missing) 5
 
7.9%
ValueCountFrequency (%)
0 50
79.4%
10 1
 
1.6%
290 1
 
1.6%
2235 1
 
1.6%
4050 1
 
1.6%
4630 1
 
1.6%
5430 1
 
1.6%
18515 1
 
1.6%
36720 1
 
1.6%
ValueCountFrequency (%)
36720 1
 
1.6%
18515 1
 
1.6%
5430 1
 
1.6%
4630 1
 
1.6%
4050 1
 
1.6%
2235 1
 
1.6%
290 1
 
1.6%
10 1
 
1.6%
0 50
79.4%

2020-10-10
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)22.0%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean3979.9153
Minimum0
Maximum80215
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:06.231594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26267.5
Maximum80215
Range80215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14195.551
Coefficient of variation (CV)3.5667974
Kurtosis19.339008
Mean3979.9153
Median Absolute Deviation (MAD)0
Skewness4.3370802
Sum234815
Variance2.0151368 × 108
MonotonicityNot monotonic
2024-04-18T04:30:06.326607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 47
74.6%
63840 1
 
1.6%
2955 1
 
1.6%
35155 1
 
1.6%
1530 1
 
1.6%
1360 1
 
1.6%
7310 1
 
1.6%
80215 1
 
1.6%
1780 1
 
1.6%
820 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 47
74.6%
820 1
 
1.6%
1360 1
 
1.6%
1530 1
 
1.6%
1760 1
 
1.6%
1780 1
 
1.6%
2955 1
 
1.6%
7310 1
 
1.6%
12810 1
 
1.6%
25280 1
 
1.6%
ValueCountFrequency (%)
80215 1
1.6%
63840 1
1.6%
35155 1
1.6%
25280 1
1.6%
12810 1
1.6%
7310 1
1.6%
2955 1
1.6%
1780 1
1.6%
1760 1
1.6%
1530 1
1.6%

2020-10-09
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)24.2%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean3674
Minimum0
Maximum93325
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:06.416276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27556.35
Maximum93325
Range93325
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13451.141
Coefficient of variation (CV)3.6611707
Kurtosis33.286954
Mean3674
Median Absolute Deviation (MAD)0
Skewness5.385141
Sum227788
Variance1.809332 × 108
MonotonicityNot monotonic
2024-04-18T04:30:06.496503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 47
74.6%
28755 2
 
3.2%
6250 1
 
1.6%
2220 1
 
1.6%
20 1
 
1.6%
93325 1
 
1.6%
1525 1
 
1.6%
6620 1
 
1.6%
1425 1
 
1.6%
1290 1
 
1.6%
Other values (5) 5
 
7.9%
ValueCountFrequency (%)
0 47
74.6%
20 1
 
1.6%
910 1
 
1.6%
1060 1
 
1.6%
1290 1
 
1.6%
1425 1
 
1.6%
1525 1
 
1.6%
2220 1
 
1.6%
2620 1
 
1.6%
6250 1
 
1.6%
ValueCountFrequency (%)
93325 1
1.6%
28755 2
3.2%
27673 1
1.6%
25340 1
1.6%
6620 1
1.6%
6250 1
1.6%
2620 1
1.6%
2220 1
1.6%
1525 1
1.6%
1425 1
1.6%

2020-10-08
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.3%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean4105.5833
Minimum0
Maximum80860
Zeros46
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:06.577757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19500.75
Maximum80860
Range80860
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13363.008
Coefficient of variation (CV)3.2548378
Kurtosis20.66014
Mean4105.5833
Median Absolute Deviation (MAD)0
Skewness4.3572783
Sum246335
Variance1.7856998 × 108
MonotonicityNot monotonic
2024-04-18T04:30:06.664948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 46
73.0%
45165 2
 
3.2%
1870 1
 
1.6%
17220 1
 
1.6%
3370 1
 
1.6%
80860 1
 
1.6%
5380 1
 
1.6%
18150 1
 
1.6%
11450 1
 
1.6%
1100 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 46
73.0%
120 1
 
1.6%
1100 1
 
1.6%
1870 1
 
1.6%
2590 1
 
1.6%
3370 1
 
1.6%
3515 1
 
1.6%
5380 1
 
1.6%
10380 1
 
1.6%
11450 1
 
1.6%
ValueCountFrequency (%)
80860 1
1.6%
45165 2
3.2%
18150 1
1.6%
17220 1
1.6%
11450 1
1.6%
10380 1
1.6%
5380 1
1.6%
3515 1
1.6%
3370 1
1.6%
2590 1
1.6%

2020-10-07
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)24.2%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean12130.207
Minimum0
Maximum599965
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:06.751816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21542.5
Maximum599965
Range599965
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76273.913
Coefficient of variation (CV)6.2879315
Kurtosis60.662208
Mean12130.207
Median Absolute Deviation (MAD)0
Skewness7.7528683
Sum752072.86
Variance5.8177099 × 109
MonotonicityNot monotonic
2024-04-18T04:30:06.830898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 47
74.6%
21560.0 2
 
3.2%
4040.0 1
 
1.6%
48807.86 1
 
1.6%
21210.0 1
 
1.6%
1510.0 1
 
1.6%
13325.0 1
 
1.6%
760.0 1
 
1.6%
599965.0 1
 
1.6%
5200.0 1
 
1.6%
Other values (5) 5
 
7.9%
ValueCountFrequency (%)
0.0 47
74.6%
40.0 1
 
1.6%
760.0 1
 
1.6%
1510.0 1
 
1.6%
2270.0 1
 
1.6%
2580.0 1
 
1.6%
3035.0 1
 
1.6%
4040.0 1
 
1.6%
5200.0 1
 
1.6%
6210.0 1
 
1.6%
ValueCountFrequency (%)
599965.0 1
1.6%
48807.86 1
1.6%
21560.0 2
3.2%
21210.0 1
1.6%
13325.0 1
1.6%
6210.0 1
1.6%
5200.0 1
1.6%
4040.0 1
1.6%
3035.0 1
1.6%
2580.0 1
1.6%

2020-10-06
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)22.6%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1354.4515
Minimum0
Maximum28896.66
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:06.912276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9722
Maximum28896.66
Range28896.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4362.7765
Coefficient of variation (CV)3.2210652
Kurtosis26.71565
Mean1354.4515
Median Absolute Deviation (MAD)0
Skewness4.7629765
Sum83975.99
Variance19033818
MonotonicityNot monotonic
2024-04-18T04:30:06.988805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 49
77.8%
1680.0 1
 
1.6%
11179.33 1
 
1.6%
6045.0 1
 
1.6%
28896.66 1
 
1.6%
3110.0 1
 
1.6%
30.0 1
 
1.6%
10.0 1
 
1.6%
10370.0 1
 
1.6%
9870.0 1
 
1.6%
Other values (4) 4
 
6.3%
ValueCountFrequency (%)
0.0 49
77.8%
10.0 1
 
1.6%
30.0 1
 
1.6%
1040.0 1
 
1.6%
1680.0 1
 
1.6%
2030.0 1
 
1.6%
2805.0 1
 
1.6%
3110.0 1
 
1.6%
6045.0 1
 
1.6%
6910.0 1
 
1.6%
ValueCountFrequency (%)
28896.66 1
1.6%
11179.33 1
1.6%
10370.0 1
1.6%
9870.0 1
1.6%
6910.0 1
1.6%
6045.0 1
1.6%
3110.0 1
1.6%
2805.0 1
1.6%
2030.0 1
1.6%
1680.0 1
1.6%

2020-10-05
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

2020-10-04
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.3%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean1112.9722
Minimum0
Maximum17795
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:07.065515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10474.25
Maximum17795
Range17795
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3376.2485
Coefficient of variation (CV)3.0335426
Kurtosis12.304768
Mean1112.9722
Median Absolute Deviation (MAD)0
Skewness3.4726202
Sum66778.33
Variance11399054
MonotonicityNot monotonic
2024-04-18T04:30:07.431476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 50
79.4%
4010.0 1
 
1.6%
40.0 1
 
1.6%
10650.0 1
 
1.6%
10465.0 1
 
1.6%
17795.0 1
 
1.6%
293.33 1
 
1.6%
11795.0 1
 
1.6%
3260.0 1
 
1.6%
2580.0 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0.0 50
79.4%
40.0 1
 
1.6%
293.33 1
 
1.6%
2580.0 1
 
1.6%
3260.0 1
 
1.6%
4010.0 1
 
1.6%
5890.0 1
 
1.6%
10465.0 1
 
1.6%
10650.0 1
 
1.6%
11795.0 1
 
1.6%
ValueCountFrequency (%)
17795.0 1
1.6%
11795.0 1
1.6%
10650.0 1
1.6%
10465.0 1
1.6%
5890.0 1
1.6%
4010.0 1
1.6%
3260.0 1
1.6%
2580.0 1
1.6%
293.33 1
1.6%
40.0 1
1.6%

2020-10-03
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)15.3%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean1219.0678
Minimum0
Maximum42705
Zeros51
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:07.510843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2553.5
Maximum42705
Range42705
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6001.6601
Coefficient of variation (CV)4.9231554
Kurtosis41.122839
Mean1219.0678
Median Absolute Deviation (MAD)0
Skewness6.1755584
Sum71925
Variance36019925
MonotonicityNot monotonic
2024-04-18T04:30:07.583131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 51
81.0%
42705 1
 
1.6%
270 1
 
1.6%
14070 1
 
1.6%
370 1
 
1.6%
480 1
 
1.6%
215 1
 
1.6%
12350 1
 
1.6%
1465 1
 
1.6%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 51
81.0%
215 1
 
1.6%
270 1
 
1.6%
370 1
 
1.6%
480 1
 
1.6%
1465 1
 
1.6%
12350 1
 
1.6%
14070 1
 
1.6%
42705 1
 
1.6%
ValueCountFrequency (%)
42705 1
 
1.6%
14070 1
 
1.6%
12350 1
 
1.6%
1465 1
 
1.6%
480 1
 
1.6%
370 1
 
1.6%
270 1
 
1.6%
215 1
 
1.6%
0 51
81.0%

2020-10-02
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)22.4%
Missing5
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3118.6493
Minimum0
Maximum83461.66
Zeros46
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:07.666390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11881.5
Maximum83461.66
Range83461.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12565.501
Coefficient of variation (CV)4.0291483
Kurtosis32.08269
Mean3118.6493
Median Absolute Deviation (MAD)0
Skewness5.4850254
Sum180881.66
Variance1.578918 × 108
MonotonicityNot monotonic
2024-04-18T04:30:07.741914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 46
73.0%
3620.0 1
 
1.6%
2860.0 1
 
1.6%
6130.0 1
 
1.6%
16650.0 1
 
1.6%
45970.0 1
 
1.6%
83461.66 1
 
1.6%
1755.0 1
 
1.6%
3310.0 1
 
1.6%
11040.0 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 5
 
7.9%
ValueCountFrequency (%)
0.0 46
73.0%
1540.0 1
 
1.6%
1755.0 1
 
1.6%
2000.0 1
 
1.6%
2545.0 1
 
1.6%
2860.0 1
 
1.6%
3310.0 1
 
1.6%
3620.0 1
 
1.6%
6130.0 1
 
1.6%
11040.0 1
 
1.6%
ValueCountFrequency (%)
83461.66 1
1.6%
45970.0 1
1.6%
16650.0 1
1.6%
11040.0 1
1.6%
6130.0 1
1.6%
3620.0 1
1.6%
3310.0 1
1.6%
2860.0 1
1.6%
2545.0 1
1.6%
2000.0 1
1.6%

2020-10-01
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)15.3%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean2974.8305
Minimum0
Maximum112750
Zeros51
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:07.815396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17632
Maximum112750
Range112750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15131.305
Coefficient of variation (CV)5.0864427
Kurtosis49.882814
Mean2974.8305
Median Absolute Deviation (MAD)0
Skewness6.8713378
Sum175515
Variance2.2895639 × 108
MonotonicityNot monotonic
2024-04-18T04:30:07.891393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 51
81.0%
1575 1
 
1.6%
20855 1
 
1.6%
17560 1
 
1.6%
18280 1
 
1.6%
112750 1
 
1.6%
400 1
 
1.6%
2580 1
 
1.6%
1515 1
 
1.6%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 51
81.0%
400 1
 
1.6%
1515 1
 
1.6%
1575 1
 
1.6%
2580 1
 
1.6%
17560 1
 
1.6%
18280 1
 
1.6%
20855 1
 
1.6%
112750 1
 
1.6%
ValueCountFrequency (%)
112750 1
 
1.6%
20855 1
 
1.6%
18280 1
 
1.6%
17560 1
 
1.6%
2580 1
 
1.6%
1575 1
 
1.6%
1515 1
 
1.6%
400 1
 
1.6%
0 51
81.0%

2020-09-30
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)22.6%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean15643.952
Minimum0
Maximum749700
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:07.967134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24905
Maximum749700
Range749700
Interquartile range (IQR)0

Descriptive statistics

Standard deviation96167.779
Coefficient of variation (CV)6.1472818
Kurtosis58.280078
Mean15643.952
Median Absolute Deviation (MAD)0
Skewness7.5538907
Sum969925
Variance9.2482417 × 109
MonotonicityNot monotonic
2024-04-18T04:30:08.049334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 49
77.8%
4000 1
 
1.6%
6060 1
 
1.6%
2440 1
 
1.6%
6225 1
 
1.6%
7995 1
 
1.6%
123515 1
 
1.6%
33720 1
 
1.6%
749700 1
 
1.6%
6280 1
 
1.6%
Other values (4) 4
 
6.3%
ValueCountFrequency (%)
0 49
77.8%
595 1
 
1.6%
1560 1
 
1.6%
2040 1
 
1.6%
2440 1
 
1.6%
4000 1
 
1.6%
6060 1
 
1.6%
6225 1
 
1.6%
6280 1
 
1.6%
7995 1
 
1.6%
ValueCountFrequency (%)
749700 1
1.6%
123515 1
1.6%
33720 1
1.6%
25795 1
1.6%
7995 1
1.6%
6280 1
1.6%
6225 1
1.6%
6060 1
1.6%
4000 1
1.6%
2440 1
1.6%

2020-09-29
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)25.8%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean17995.35
Minimum0
Maximum1017345
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:08.139077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12530.25
Maximum1017345
Range1017345
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129089.46
Coefficient of variation (CV)7.1734902
Kurtosis61.815918
Mean17995.35
Median Absolute Deviation (MAD)0
Skewness7.856973
Sum1115711.7
Variance1.666409 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:08.234791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 47
74.6%
12620.0 1
 
1.6%
1017345.0 1
 
1.6%
1606.67 1
 
1.6%
1770.0 1
 
1.6%
1260.0 1
 
1.6%
10825.0 1
 
1.6%
6880.0 1
 
1.6%
4370.0 1
 
1.6%
29120.0 1
 
1.6%
Other values (6) 6
 
9.5%
ValueCountFrequency (%)
0.0 47
74.6%
10.0 1
 
1.6%
70.0 1
 
1.6%
1160.0 1
 
1.6%
1260.0 1
 
1.6%
1606.67 1
 
1.6%
1770.0 1
 
1.6%
4370.0 1
 
1.6%
4940.0 1
 
1.6%
5135.0 1
 
1.6%
ValueCountFrequency (%)
1017345.0 1
1.6%
29120.0 1
1.6%
18600.0 1
1.6%
12620.0 1
1.6%
10825.0 1
1.6%
6880.0 1
1.6%
5135.0 1
1.6%
4940.0 1
1.6%
4370.0 1
1.6%
1770.0 1
1.6%

2020-09-28
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)29.5%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean22641.902
Minimum0
Maximum1185115
Zeros44
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:08.319650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3990
95-th percentile12210
Maximum1185115
Range1185115
Interquartile range (IQR)990

Descriptive statistics

Standard deviation152232.91
Coefficient of variation (CV)6.7235038
Kurtosis59.479603
Mean22641.902
Median Absolute Deviation (MAD)0
Skewness7.6756353
Sum1381156
Variance2.317486 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:08.419316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 44
69.8%
12210 1
 
1.6%
1185115 1
 
1.6%
8725 1
 
1.6%
2020 1
 
1.6%
1470 1
 
1.6%
1760 1
 
1.6%
1240 1
 
1.6%
6220 1
 
1.6%
4326 1
 
1.6%
Other values (8) 8
 
12.7%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 44
69.8%
530 1
 
1.6%
990 1
 
1.6%
1240 1
 
1.6%
1470 1
 
1.6%
1580 1
 
1.6%
1760 1
 
1.6%
2020 1
 
1.6%
2330 1
 
1.6%
3830 1
 
1.6%
ValueCountFrequency (%)
1185115 1
1.6%
129205 1
1.6%
15395 1
1.6%
12210 1
1.6%
8725 1
1.6%
6220 1
1.6%
4326 1
1.6%
4210 1
1.6%
3830 1
1.6%
2330 1
1.6%

2020-09-27
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)26.2%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1556.5984
Minimum0
Maximum44965
Zeros45
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:08.532447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile5890
Maximum44965
Range44965
Interquartile range (IQR)40

Descriptive statistics

Standard deviation6247.2716
Coefficient of variation (CV)4.0134127
Kurtosis40.638023
Mean1556.5984
Median Absolute Deviation (MAD)0
Skewness6.0945016
Sum94952.5
Variance39028402
MonotonicityNot monotonic
2024-04-18T04:30:08.635999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 45
71.4%
510.0 2
 
3.2%
7775.0 1
 
1.6%
17740.0 1
 
1.6%
40.0 1
 
1.6%
5890.0 1
 
1.6%
70.0 1
 
1.6%
3397.5 1
 
1.6%
870.0 1
 
1.6%
120.0 1
 
1.6%
Other values (6) 6
 
9.5%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 45
71.4%
40.0 1
 
1.6%
70.0 1
 
1.6%
120.0 1
 
1.6%
510.0 2
 
3.2%
870.0 1
 
1.6%
1405.0 1
 
1.6%
1540.0 1
 
1.6%
1760.0 1
 
1.6%
3045.0 1
 
1.6%
ValueCountFrequency (%)
44965.0 1
1.6%
17740.0 1
1.6%
7775.0 1
1.6%
5890.0 1
1.6%
5315.0 1
1.6%
3397.5 1
1.6%
3045.0 1
1.6%
1760.0 1
1.6%
1540.0 1
1.6%
1405.0 1
1.6%

2020-09-26
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)26.2%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean13022.377
Minimum0
Maximum677955
Zeros46
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:08.712799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8970
Maximum677955
Range677955
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86835.416
Coefficient of variation (CV)6.6681694
Kurtosis60.175242
Mean13022.377
Median Absolute Deviation (MAD)0
Skewness7.7347308
Sum794365
Variance7.5403895 × 109
MonotonicityNot monotonic
2024-04-18T04:30:08.798291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 46
73.0%
36745 1
 
1.6%
8970 1
 
1.6%
2325 1
 
1.6%
510 1
 
1.6%
2060 1
 
1.6%
715 1
 
1.6%
460 1
 
1.6%
7740 1
 
1.6%
6790 1
 
1.6%
Other values (6) 6
 
9.5%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 46
73.0%
460 1
 
1.6%
510 1
 
1.6%
715 1
 
1.6%
1150 1
 
1.6%
1440 1
 
1.6%
1780 1
 
1.6%
2060 1
 
1.6%
2325 1
 
1.6%
6345 1
 
1.6%
ValueCountFrequency (%)
677955 1
1.6%
39380 1
1.6%
36745 1
1.6%
8970 1
1.6%
7740 1
1.6%
6790 1
1.6%
6345 1
1.6%
2325 1
1.6%
2060 1
1.6%
1780 1
1.6%

2020-09-25
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)24.2%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean16733.065
Minimum0
Maximum1000770
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:08.891964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5028
Maximum1000770
Range1000770
Interquartile range (IQR)0

Descriptive statistics

Standard deviation127031.16
Coefficient of variation (CV)7.5916253
Kurtosis61.98031
Mean16733.065
Median Absolute Deviation (MAD)0
Skewness7.8721688
Sum1037450
Variance1.6136914 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:08.982750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 48
76.2%
880 1
 
1.6%
5150 1
 
1.6%
2660 1
 
1.6%
1650 1
 
1.6%
7575 1
 
1.6%
710 1
 
1.6%
1000770 1
 
1.6%
7470 1
 
1.6%
1345 1
 
1.6%
Other values (5) 5
 
7.9%
ValueCountFrequency (%)
0 48
76.2%
710 1
 
1.6%
880 1
 
1.6%
1220 1
 
1.6%
1345 1
 
1.6%
1560 1
 
1.6%
1650 1
 
1.6%
1780 1
 
1.6%
1970 1
 
1.6%
2660 1
 
1.6%
ValueCountFrequency (%)
1000770 1
1.6%
7575 1
1.6%
7470 1
1.6%
5150 1
1.6%
2710 1
1.6%
2660 1
1.6%
1970 1
1.6%
1780 1
1.6%
1650 1
1.6%
1560 1
1.6%

2020-09-24
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)25.8%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean9005.6452
Minimum0
Maximum427405
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:09.066946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10611.75
Maximum427405
Range427405
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54846.35
Coefficient of variation (CV)6.0902188
Kurtosis58.140461
Mean9005.6452
Median Absolute Deviation (MAD)0
Skewness7.5436539
Sum558350
Variance3.0081221 × 109
MonotonicityNot monotonic
2024-04-18T04:30:09.147779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 47
74.6%
14980 1
 
1.6%
2025 1
 
1.6%
2090 1
 
1.6%
1845 1
 
1.6%
1295 1
 
1.6%
2770 1
 
1.6%
427405 1
 
1.6%
10635 1
 
1.6%
3680 1
 
1.6%
Other values (6) 6
 
9.5%
ValueCountFrequency (%)
0 47
74.6%
440 1
 
1.6%
1295 1
 
1.6%
1845 1
 
1.6%
2025 1
 
1.6%
2030 1
 
1.6%
2090 1
 
1.6%
2750 1
 
1.6%
2770 1
 
1.6%
3080 1
 
1.6%
ValueCountFrequency (%)
427405 1
1.6%
73155 1
1.6%
14980 1
1.6%
10635 1
1.6%
10170 1
1.6%
3680 1
1.6%
3080 1
1.6%
2770 1
1.6%
2750 1
1.6%
2090 1
1.6%

2020-09-23
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)24.6%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean14497.787
Minimum0
Maximum724790
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:09.228713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28305
Maximum724790
Range724790
Interquartile range (IQR)0

Descriptive statistics

Standard deviation93195.987
Coefficient of variation (CV)6.4282906
Kurtosis59.000919
Mean14497.787
Median Absolute Deviation (MAD)0
Skewness7.6319049
Sum884365
Variance8.6854919 × 109
MonotonicityNot monotonic
2024-04-18T04:30:09.314693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 47
74.6%
210 1
 
1.6%
2670 1
 
1.6%
1070 1
 
1.6%
31960 1
 
1.6%
82245 1
 
1.6%
450 1
 
1.6%
4310 1
 
1.6%
724790 1
 
1.6%
2625 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 47
74.6%
210 1
 
1.6%
450 1
 
1.6%
600 1
 
1.6%
1070 1
 
1.6%
1240 1
 
1.6%
1910 1
 
1.6%
1980 1
 
1.6%
2625 1
 
1.6%
2670 1
 
1.6%
ValueCountFrequency (%)
724790 1
1.6%
82245 1
1.6%
31960 1
1.6%
28305 1
1.6%
4310 1
1.6%
2670 1
1.6%
2625 1
1.6%
1980 1
1.6%
1910 1
1.6%
1240 1
1.6%

2020-09-22
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)27.4%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean11587.685
Minimum0
Maximum613145
Zeros46
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:09.400955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q352.5
95-th percentile8592.708
Maximum613145
Range613145
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation78044.998
Coefficient of variation (CV)6.7351672
Kurtosis60.694408
Mean11587.685
Median Absolute Deviation (MAD)0
Skewness7.7578634
Sum718436.49
Variance6.0910217 × 109
MonotonicityNot monotonic
2024-04-18T04:30:09.483517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 46
73.0%
1290.0 1
 
1.6%
58307.33 1
 
1.6%
210.0 1
 
1.6%
1230.0 1
 
1.6%
2520.0 1
 
1.6%
613145.0 1
 
1.6%
140.0 1
 
1.6%
360.0 1
 
1.6%
1830.0 1
 
1.6%
Other values (7) 7
 
11.1%
ValueCountFrequency (%)
0.0 46
73.0%
70.0 1
 
1.6%
140.0 1
 
1.6%
210.0 1
 
1.6%
280.0 1
 
1.6%
360.0 1
 
1.6%
1200.0 1
 
1.6%
1230.0 1
 
1.6%
1290.0 1
 
1.6%
1830.0 1
 
1.6%
ValueCountFrequency (%)
613145.0 1
1.6%
58307.33 1
1.6%
19920.0 1
1.6%
8780.0 1
1.6%
5034.16 1
1.6%
4120.0 1
1.6%
2520.0 1
1.6%
1830.0 1
1.6%
1290.0 1
1.6%
1230.0 1
1.6%

2020-09-21
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)27.9%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean16708.784
Minimum0
Maximum858750
Zeros45
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:09.568647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3360
95-th percentile9365
Maximum858750
Range858750
Interquartile range (IQR)360

Descriptive statistics

Standard deviation110250.09
Coefficient of variation (CV)6.5983309
Kurtosis59.524711
Mean16708.784
Median Absolute Deviation (MAD)0
Skewness7.6785947
Sum1019235.8
Variance1.2155082 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:09.655148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 45
71.4%
360.0 1
 
1.6%
3490.0 1
 
1.6%
1680.0 1
 
1.6%
1380.0 1
 
1.6%
28553.35 1
 
1.6%
9365.0 1
 
1.6%
6140.0 1
 
1.6%
7690.0 1
 
1.6%
858750.0 1
 
1.6%
Other values (7) 7
 
11.1%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 45
71.4%
360.0 1
 
1.6%
740.0 1
 
1.6%
1250.0 1
 
1.6%
1380.0 1
 
1.6%
1680.0 1
 
1.6%
1697.5 1
 
1.6%
2040.0 1
 
1.6%
2560.0 1
 
1.6%
3490.0 1
 
1.6%
ValueCountFrequency (%)
858750.0 1
1.6%
88460.0 1
1.6%
28553.35 1
1.6%
9365.0 1
1.6%
7690.0 1
1.6%
6140.0 1
1.6%
5080.0 1
1.6%
3490.0 1
1.6%
2560.0 1
1.6%
2040.0 1
1.6%

2020-09-20
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)19.4%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean6012.9839
Minimum0
Maximum300080
Zeros51
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:09.754636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2411.25
Maximum300080
Range300080
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38646.781
Coefficient of variation (CV)6.4272219
Kurtosis57.538855
Mean6012.9839
Median Absolute Deviation (MAD)0
Skewness7.4987778
Sum372805
Variance1.4935737 × 109
MonotonicityNot monotonic
2024-04-18T04:30:09.839341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 51
81.0%
2340 1
 
1.6%
310 1
 
1.6%
2610 1
 
1.6%
1725 1
 
1.6%
875 1
 
1.6%
300080 1
 
1.6%
1280 1
 
1.6%
2415 1
 
1.6%
2005 1
 
1.6%
Other values (2) 2
 
3.2%
ValueCountFrequency (%)
0 51
81.0%
310 1
 
1.6%
875 1
 
1.6%
1280 1
 
1.6%
1725 1
 
1.6%
1980 1
 
1.6%
2005 1
 
1.6%
2340 1
 
1.6%
2415 1
 
1.6%
2610 1
 
1.6%
ValueCountFrequency (%)
300080 1
1.6%
57185 1
1.6%
2610 1
1.6%
2415 1
1.6%
2340 1
1.6%
2005 1
1.6%
1980 1
1.6%
1725 1
1.6%
1280 1
1.6%
875 1
1.6%

2020-09-19
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)14.5%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean360.56452
Minimum0
Maximum11330
Zeros54
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:09.922213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1854.25
Maximum11330
Range11330
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1560.7951
Coefficient of variation (CV)4.3287539
Kurtosis41.650912
Mean360.56452
Median Absolute Deviation (MAD)0
Skewness6.156154
Sum22355
Variance2436081.2
MonotonicityNot monotonic
2024-04-18T04:30:09.998055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 54
85.7%
1555 1
 
1.6%
11330 1
 
1.6%
130 1
 
1.6%
760 1
 
1.6%
4135 1
 
1.6%
460 1
 
1.6%
1870 1
 
1.6%
2115 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0 54
85.7%
130 1
 
1.6%
460 1
 
1.6%
760 1
 
1.6%
1555 1
 
1.6%
1870 1
 
1.6%
2115 1
 
1.6%
4135 1
 
1.6%
11330 1
 
1.6%
ValueCountFrequency (%)
11330 1
 
1.6%
4135 1
 
1.6%
2115 1
 
1.6%
1870 1
 
1.6%
1555 1
 
1.6%
760 1
 
1.6%
460 1
 
1.6%
130 1
 
1.6%
0 54
85.7%

2020-09-18
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)19.7%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean922.37705
Minimum0
Maximum21530
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:10.077158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3920
Maximum21530
Range21530
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3205.505
Coefficient of variation (CV)3.4752653
Kurtosis29.724722
Mean922.37705
Median Absolute Deviation (MAD)0
Skewness5.1080342
Sum56265
Variance10275262
MonotonicityNot monotonic
2024-04-18T04:30:10.151984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 50
79.4%
21530 1
 
1.6%
300 1
 
1.6%
3695 1
 
1.6%
3005 1
 
1.6%
8165 1
 
1.6%
9400 1
 
1.6%
2560 1
 
1.6%
820 1
 
1.6%
3920 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 50
79.4%
300 1
 
1.6%
820 1
 
1.6%
1010 1
 
1.6%
1860 1
 
1.6%
2560 1
 
1.6%
3005 1
 
1.6%
3695 1
 
1.6%
3920 1
 
1.6%
8165 1
 
1.6%
ValueCountFrequency (%)
21530 1
1.6%
9400 1
1.6%
8165 1
1.6%
3920 1
1.6%
3695 1
1.6%
3005 1
1.6%
2560 1
1.6%
1860 1
1.6%
1010 1
1.6%
820 1
1.6%

2020-09-17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

2020-09-16
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.5%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean434.57197
Minimum0
Maximum14388.89
Zeros55
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:10.225284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1890
Maximum14388.89
Range14388.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1984.2561
Coefficient of variation (CV)4.5660011
Kurtosis42.353215
Mean434.57197
Median Absolute Deviation (MAD)0
Skewness6.216521
Sum26508.89
Variance3937272.2
MonotonicityNot monotonic
2024-04-18T04:30:10.307828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 55
87.3%
4400.0 1
 
1.6%
14388.89 1
 
1.6%
1890.0 1
 
1.6%
190.0 1
 
1.6%
3780.0 1
 
1.6%
1860.0 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0.0 55
87.3%
190.0 1
 
1.6%
1860.0 1
 
1.6%
1890.0 1
 
1.6%
3780.0 1
 
1.6%
4400.0 1
 
1.6%
14388.89 1
 
1.6%
ValueCountFrequency (%)
14388.89 1
 
1.6%
4400.0 1
 
1.6%
3780.0 1
 
1.6%
1890.0 1
 
1.6%
1860.0 1
 
1.6%
190.0 1
 
1.6%
0.0 55
87.3%

2020-09-15
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)24.6%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean6786.7213
Minimum0
Maximum312180
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:10.399243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9830
Maximum312180
Range312180
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40278.428
Coefficient of variation (CV)5.9348876
Kurtosis57.732757
Mean6786.7213
Median Absolute Deviation (MAD)0
Skewness7.5210802
Sum413990
Variance1.6223518 × 109
MonotonicityNot monotonic
2024-04-18T04:30:10.480523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 47
74.6%
30 1
 
1.6%
4600 1
 
1.6%
43230 1
 
1.6%
9830 1
 
1.6%
650 1
 
1.6%
312180 1
 
1.6%
5240 1
 
1.6%
1510 1
 
1.6%
25375 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 47
74.6%
30 1
 
1.6%
650 1
 
1.6%
1065 1
 
1.6%
1510 1
 
1.6%
1750 1
 
1.6%
1770 1
 
1.6%
2050 1
 
1.6%
4600 1
 
1.6%
4710 1
 
1.6%
ValueCountFrequency (%)
312180 1
1.6%
43230 1
1.6%
25375 1
1.6%
9830 1
1.6%
5240 1
1.6%
4710 1
1.6%
4600 1
1.6%
2050 1
1.6%
1770 1
1.6%
1750 1
1.6%

2020-09-14
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)13.6%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean1636.4407
Minimum0
Maximum67970
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:10.557309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4601
Maximum67970
Range67970
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9001.0828
Coefficient of variation (CV)5.5004027
Kurtosis53.277012
Mean1636.4407
Median Absolute Deviation (MAD)0
Skewness7.1719588
Sum96550
Variance81019491
MonotonicityNot monotonic
2024-04-18T04:30:10.638432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 52
82.5%
4180 1
 
1.6%
11955 1
 
1.6%
560 1
 
1.6%
8390 1
 
1.6%
67970 1
 
1.6%
1760 1
 
1.6%
1735 1
 
1.6%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 52
82.5%
560 1
 
1.6%
1735 1
 
1.6%
1760 1
 
1.6%
4180 1
 
1.6%
8390 1
 
1.6%
11955 1
 
1.6%
67970 1
 
1.6%
ValueCountFrequency (%)
67970 1
 
1.6%
11955 1
 
1.6%
8390 1
 
1.6%
4180 1
 
1.6%
1760 1
 
1.6%
1735 1
 
1.6%
560 1
 
1.6%
0 52
82.5%

2020-09-13
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean6073.2787
Minimum0
Maximum280960
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:10.715176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4210
Maximum280960
Range280960
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36821.418
Coefficient of variation (CV)6.0628566
Kurtosis54.201982
Mean6073.2787
Median Absolute Deviation (MAD)0
Skewness7.2455308
Sum370470
Variance1.3558168 × 109
MonotonicityNot monotonic
2024-04-18T04:30:10.789759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
2535 1
 
1.6%
4210 1
 
1.6%
2495 1
 
1.6%
860 1
 
1.6%
280960 1
 
1.6%
2680 1
 
1.6%
7450 1
 
1.6%
67555 1
 
1.6%
1725 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
860 1
 
1.6%
1725 1
 
1.6%
2495 1
 
1.6%
2535 1
 
1.6%
2680 1
 
1.6%
4210 1
 
1.6%
7450 1
 
1.6%
67555 1
 
1.6%
280960 1
 
1.6%
ValueCountFrequency (%)
280960 1
 
1.6%
67555 1
 
1.6%
7450 1
 
1.6%
4210 1
 
1.6%
2680 1
 
1.6%
2535 1
 
1.6%
2495 1
 
1.6%
1725 1
 
1.6%
860 1
 
1.6%
0 52
82.5%

2020-09-12
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)9.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1265.1639
Minimum0
Maximum67540
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:10.864477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1750
Maximum67540
Range67540
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8667.1727
Coefficient of variation (CV)6.8506322
Kurtosis59.822187
Mean1265.1639
Median Absolute Deviation (MAD)0
Skewness7.7043339
Sum77175
Variance75119883
MonotonicityNot monotonic
2024-04-18T04:30:10.945158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 56
88.9%
6080 1
 
1.6%
30 1
 
1.6%
67540 1
 
1.6%
1750 1
 
1.6%
1775 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 56
88.9%
30 1
 
1.6%
1750 1
 
1.6%
1775 1
 
1.6%
6080 1
 
1.6%
67540 1
 
1.6%
ValueCountFrequency (%)
67540 1
 
1.6%
6080 1
 
1.6%
1775 1
 
1.6%
1750 1
 
1.6%
30 1
 
1.6%
0 56
88.9%

2020-09-11
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.3%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1507.7869
Minimum0
Maximum67415
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:11.051216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2560
Maximum67415
Range67415
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8657.8639
Coefficient of variation (CV)5.7421006
Kurtosis58.702692
Mean1507.7869
Median Absolute Deviation (MAD)0
Skewness7.6008443
Sum91975
Variance74958608
MonotonicityNot monotonic
2024-04-18T04:30:11.146591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 49
77.8%
4600 1
 
1.6%
2530 1
 
1.6%
190 1
 
1.6%
200 1
 
1.6%
1635 1
 
1.6%
2195 1
 
1.6%
230 1
 
1.6%
6460 1
 
1.6%
2560 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 49
77.8%
190 1
 
1.6%
200 1
 
1.6%
230 1
 
1.6%
1635 1
 
1.6%
1750 1
 
1.6%
2195 1
 
1.6%
2210 1
 
1.6%
2530 1
 
1.6%
2560 1
 
1.6%
ValueCountFrequency (%)
67415 1
1.6%
6460 1
1.6%
4600 1
1.6%
2560 1
1.6%
2530 1
1.6%
2210 1
1.6%
2195 1
1.6%
1750 1
1.6%
1635 1
1.6%
230 1
1.6%

2020-09-10
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.3%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1421.2097
Minimum0
Maximum66770
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:11.232943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2557.25
Maximum66770
Range66770
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8642.4811
Coefficient of variation (CV)6.0810739
Kurtosis56.064659
Mean1421.2097
Median Absolute Deviation (MAD)0
Skewness7.3752315
Sum88115
Variance74692479
MonotonicityNot monotonic
2024-04-18T04:30:11.325302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 56
88.9%
3380 1
 
1.6%
605 1
 
1.6%
14290 1
 
1.6%
410 1
 
1.6%
2660 1
 
1.6%
66770 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0 56
88.9%
410 1
 
1.6%
605 1
 
1.6%
2660 1
 
1.6%
3380 1
 
1.6%
14290 1
 
1.6%
66770 1
 
1.6%
ValueCountFrequency (%)
66770 1
 
1.6%
14290 1
 
1.6%
3380 1
 
1.6%
2660 1
 
1.6%
605 1
 
1.6%
410 1
 
1.6%
0 56
88.9%

2020-09-09
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1484.0164
Minimum0
Maximum66365
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:11.411171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4035
Maximum66365
Range66365
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8563.001
Coefficient of variation (CV)5.7701525
Kurtosis57.565285
Mean1484.0164
Median Absolute Deviation (MAD)0
Skewness7.5034769
Sum90525
Variance73324986
MonotonicityNot monotonic
2024-04-18T04:30:11.490701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
4575 1
 
1.6%
795 1
 
1.6%
8940 1
 
1.6%
290 1
 
1.6%
2730 1
 
1.6%
66365 1
 
1.6%
1795 1
 
1.6%
4035 1
 
1.6%
1000 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
290 1
 
1.6%
795 1
 
1.6%
1000 1
 
1.6%
1795 1
 
1.6%
2730 1
 
1.6%
4035 1
 
1.6%
4575 1
 
1.6%
8940 1
 
1.6%
66365 1
 
1.6%
ValueCountFrequency (%)
66365 1
 
1.6%
8940 1
 
1.6%
4575 1
 
1.6%
4035 1
 
1.6%
2730 1
 
1.6%
1795 1
 
1.6%
1000 1
 
1.6%
795 1
 
1.6%
290 1
 
1.6%
0 52
82.5%

2020-09-08
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.3%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean2275.2222
Minimum0
Maximum40885
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:11.573476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11894.25
Maximum40885
Range40885
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8368.2802
Coefficient of variation (CV)3.6780057
Kurtosis16.370576
Mean2275.2222
Median Absolute Deviation (MAD)0
Skewness4.1343297
Sum136513.33
Variance70028113
MonotonicityNot monotonic
2024-04-18T04:30:11.661692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 50
79.4%
3705.0 1
 
1.6%
2975.0 1
 
1.6%
40850.0 1
 
1.6%
1930.0 1
 
1.6%
1003.33 1
 
1.6%
30785.0 1
 
1.6%
725.0 1
 
1.6%
10900.0 1
 
1.6%
40885.0 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0.0 50
79.4%
725.0 1
 
1.6%
1003.33 1
 
1.6%
1930.0 1
 
1.6%
2755.0 1
 
1.6%
2975.0 1
 
1.6%
3705.0 1
 
1.6%
10900.0 1
 
1.6%
30785.0 1
 
1.6%
40850.0 1
 
1.6%
ValueCountFrequency (%)
40885.0 1
1.6%
40850.0 1
1.6%
30785.0 1
1.6%
10900.0 1
1.6%
3705.0 1
1.6%
2975.0 1
1.6%
2755.0 1
1.6%
1930.0 1
1.6%
1003.33 1
1.6%
725.0 1
1.6%

2020-09-07
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
55 
<NA>
 
4
4600
 
1
11340
 
1
1775
 
1

Length

Max length5
Median length1
Mean length1.3968254
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row4600
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
87.3%
<NA> 4
 
6.3%
4600 1
 
1.6%
11340 1
 
1.6%
1775 1
 
1.6%
1000 1
 
1.6%

Length

2024-04-18T04:30:11.763869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:11.852093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
87.3%
na 4
 
6.3%
4600 1
 
1.6%
11340 1
 
1.6%
1775 1
 
1.6%
1000 1
 
1.6%

2020-09-06
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.5%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean5761.5574
Minimum0
Maximum273635
Zeros55
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:11.921027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2490
Maximum273635
Range273635
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35914.181
Coefficient of variation (CV)6.2334154
Kurtosis54.008453
Mean5761.5574
Median Absolute Deviation (MAD)0
Skewness7.2311216
Sum351455
Variance1.2898284 × 109
MonotonicityNot monotonic
2024-04-18T04:30:11.992551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 55
87.3%
860 1
 
1.6%
10 1
 
1.6%
273635 1
 
1.6%
7570 1
 
1.6%
66890 1
 
1.6%
2490 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 55
87.3%
10 1
 
1.6%
860 1
 
1.6%
2490 1
 
1.6%
7570 1
 
1.6%
66890 1
 
1.6%
273635 1
 
1.6%
ValueCountFrequency (%)
273635 1
 
1.6%
66890 1
 
1.6%
7570 1
 
1.6%
2490 1
 
1.6%
860 1
 
1.6%
10 1
 
1.6%
0 55
87.3%

2020-09-05
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.3%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1862.7869
Minimum0
Maximum67125
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:12.069364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4060
Maximum67125
Range67125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9037.3918
Coefficient of variation (CV)4.8515436
Kurtosis47.507055
Mean1862.7869
Median Absolute Deviation (MAD)0
Skewness6.7081401
Sum113630
Variance81674450
MonotonicityNot monotonic
2024-04-18T04:30:12.150651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 49
77.8%
2570 1
 
1.6%
4180 1
 
1.6%
2850 1
 
1.6%
1200 1
 
1.6%
23175 1
 
1.6%
110 1
 
1.6%
1995 1
 
1.6%
4060 1
 
1.6%
3090 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 49
77.8%
110 1
 
1.6%
1200 1
 
1.6%
1275 1
 
1.6%
1995 1
 
1.6%
2000 1
 
1.6%
2570 1
 
1.6%
2850 1
 
1.6%
3090 1
 
1.6%
4060 1
 
1.6%
ValueCountFrequency (%)
67125 1
1.6%
23175 1
1.6%
4180 1
1.6%
4060 1
1.6%
3090 1
1.6%
2850 1
1.6%
2570 1
1.6%
2000 1
1.6%
1995 1
1.6%
1275 1
1.6%

2020-09-04
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.3%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean9772.4167
Minimum0
Maximum497735
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:12.232832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4401
Maximum497735
Range497735
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64646.25
Coefficient of variation (CV)6.6151754
Kurtosis57.764603
Mean9772.4167
Median Absolute Deviation (MAD)0
Skewness7.5493594
Sum586345
Variance4.1791377 × 109
MonotonicityNot monotonic
2024-04-18T04:30:12.320230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 50
79.4%
5940 1
 
1.6%
2340 1
 
1.6%
520 1
 
1.6%
680 1
 
1.6%
497735 1
 
1.6%
3930 1
 
1.6%
1230 1
 
1.6%
66890 1
 
1.6%
2760 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 50
79.4%
520 1
 
1.6%
680 1
 
1.6%
1230 1
 
1.6%
2340 1
 
1.6%
2760 1
 
1.6%
3930 1
 
1.6%
4320 1
 
1.6%
5940 1
 
1.6%
66890 1
 
1.6%
ValueCountFrequency (%)
497735 1
1.6%
66890 1
1.6%
5940 1
1.6%
4320 1
1.6%
3930 1
1.6%
2760 1
1.6%
2340 1
1.6%
1230 1
1.6%
680 1
1.6%
520 1
1.6%

2020-09-03
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)12.9%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1328.0645
Minimum0
Maximum65165
Zeros55
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:12.399136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2049.75
Maximum65165
Range65165
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8335.3154
Coefficient of variation (CV)6.276288
Kurtosis59.089646
Mean1328.0645
Median Absolute Deviation (MAD)0
Skewness7.6189986
Sum82340
Variance69477482
MonotonicityNot monotonic
2024-04-18T04:30:12.478979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 55
87.3%
3920 1
 
1.6%
690 1
 
1.6%
8900 1
 
1.6%
380 1
 
1.6%
1190 1
 
1.6%
65165 1
 
1.6%
2095 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0 55
87.3%
380 1
 
1.6%
690 1
 
1.6%
1190 1
 
1.6%
2095 1
 
1.6%
3920 1
 
1.6%
8900 1
 
1.6%
65165 1
 
1.6%
ValueCountFrequency (%)
65165 1
 
1.6%
8900 1
 
1.6%
3920 1
 
1.6%
2095 1
 
1.6%
1190 1
 
1.6%
690 1
 
1.6%
380 1
 
1.6%
0 55
87.3%

2020-09-02
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.3%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1200.5645
Minimum0
Maximum63775
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:12.556279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1350.25
Maximum63775
Range63775
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8106.7078
Coefficient of variation (CV)6.7524133
Kurtosis61.058332
Mean1200.5645
Median Absolute Deviation (MAD)0
Skewness7.7884368
Sum74435
Variance65718711
MonotonicityNot monotonic
2024-04-18T04:30:12.632476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 56
88.9%
3490 1
 
1.6%
1355 1
 
1.6%
700 1
 
1.6%
1260 1
 
1.6%
63775 1
 
1.6%
3855 1
 
1.6%
(Missing) 1
 
1.6%
ValueCountFrequency (%)
0 56
88.9%
700 1
 
1.6%
1260 1
 
1.6%
1355 1
 
1.6%
3490 1
 
1.6%
3855 1
 
1.6%
63775 1
 
1.6%
ValueCountFrequency (%)
63775 1
 
1.6%
3855 1
 
1.6%
3490 1
 
1.6%
1355 1
 
1.6%
1260 1
 
1.6%
700 1
 
1.6%
0 56
88.9%

2020-09-01
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)14.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean718.60656
Minimum0
Maximum22470
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:12.718842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2460
Maximum22470
Range22470
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3266.4312
Coefficient of variation (CV)4.5455071
Kurtosis35.857048
Mean718.60656
Median Absolute Deviation (MAD)0
Skewness5.8285612
Sum43835
Variance10669573
MonotonicityNot monotonic
2024-04-18T04:30:12.796524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 53
84.1%
2595 1
 
1.6%
160 1
 
1.6%
12175 1
 
1.6%
2460 1
 
1.6%
22470 1
 
1.6%
1880 1
 
1.6%
1085 1
 
1.6%
1010 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 53
84.1%
160 1
 
1.6%
1010 1
 
1.6%
1085 1
 
1.6%
1880 1
 
1.6%
2460 1
 
1.6%
2595 1
 
1.6%
12175 1
 
1.6%
22470 1
 
1.6%
ValueCountFrequency (%)
22470 1
 
1.6%
12175 1
 
1.6%
2595 1
 
1.6%
2460 1
 
1.6%
1880 1
 
1.6%
1085 1
 
1.6%
1010 1
 
1.6%
160 1
 
1.6%
0 53
84.1%

2020-08-31
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)20.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean1030.25
Minimum0
Maximum15715
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:12.871907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6211.25
Maximum15715
Range15715
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3073.253
Coefficient of variation (CV)2.9830168
Kurtosis13.410039
Mean1030.25
Median Absolute Deviation (MAD)0
Skewness3.6160655
Sum61815
Variance9444884.3
MonotonicityNot monotonic
2024-04-18T04:30:13.236302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 49
77.8%
4330 1
 
1.6%
15715 1
 
1.6%
6060 1
 
1.6%
5080 1
 
1.6%
9085 1
 
1.6%
3695 1
 
1.6%
480 1
 
1.6%
13840 1
 
1.6%
730 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 49
77.8%
480 1
 
1.6%
730 1
 
1.6%
1030 1
 
1.6%
1770 1
 
1.6%
3695 1
 
1.6%
4330 1
 
1.6%
5080 1
 
1.6%
6060 1
 
1.6%
9085 1
 
1.6%
ValueCountFrequency (%)
15715 1
1.6%
13840 1
1.6%
9085 1
1.6%
6060 1
1.6%
5080 1
1.6%
4330 1
1.6%
3695 1
1.6%
1770 1
1.6%
1030 1
1.6%
730 1
1.6%

2020-08-30
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
2
52200
 
1
1410
 
1
1420
 
1

Length

Max length5
Median length1
Mean length1.2857143
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 2
 
3.2%
52200 1
 
1.6%
1410 1
 
1.6%
1420 1
 
1.6%
130 1
 
1.6%

Length

2024-04-18T04:30:13.340971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:13.442349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 2
 
3.2%
52200 1
 
1.6%
1410 1
 
1.6%
1420 1
 
1.6%
130 1
 
1.6%

2020-08-29
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)9.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean191.22951
Minimum0
Maximum6590
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:13.518687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1255
Maximum6590
Range6590
Interquartile range (IQR)0

Descriptive statistics

Standard deviation911.92135
Coefficient of variation (CV)4.7687272
Kurtosis41.989329
Mean191.22951
Median Absolute Deviation (MAD)0
Skewness6.1962837
Sum11665
Variance831600.55
MonotonicityNot monotonic
2024-04-18T04:30:13.611381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 56
88.9%
1255 1
 
1.6%
2040 1
 
1.6%
60 1
 
1.6%
6590 1
 
1.6%
1720 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 56
88.9%
60 1
 
1.6%
1255 1
 
1.6%
1720 1
 
1.6%
2040 1
 
1.6%
6590 1
 
1.6%
ValueCountFrequency (%)
6590 1
 
1.6%
2040 1
 
1.6%
1720 1
 
1.6%
1255 1
 
1.6%
60 1
 
1.6%
0 56
88.9%

2020-08-28
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)13.6%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean5108.4746
Minimum0
Maximum279500
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:13.698686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4280
Maximum279500
Range279500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36362.02
Coefficient of variation (CV)7.11798
Kurtosis58.840377
Mean5108.4746
Median Absolute Deviation (MAD)0
Skewness7.6659952
Sum301400
Variance1.3221965 × 109
MonotonicityNot monotonic
2024-04-18T04:30:13.772402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 52
82.5%
4230 1
 
1.6%
7010 1
 
1.6%
3650 1
 
1.6%
270 1
 
1.6%
279500 1
 
1.6%
4730 1
 
1.6%
2010 1
 
1.6%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 52
82.5%
270 1
 
1.6%
2010 1
 
1.6%
3650 1
 
1.6%
4230 1
 
1.6%
4730 1
 
1.6%
7010 1
 
1.6%
279500 1
 
1.6%
ValueCountFrequency (%)
279500 1
 
1.6%
7010 1
 
1.6%
4730 1
 
1.6%
4230 1
 
1.6%
3650 1
 
1.6%
2010 1
 
1.6%
270 1
 
1.6%
0 52
82.5%

2020-08-27
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)19.7%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean4781.6393
Minimum0
Maximum255595
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:13.861945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4500
Maximum255595
Range255595
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32727.485
Coefficient of variation (CV)6.8444067
Kurtosis60.383974
Mean4781.6393
Median Absolute Deviation (MAD)0
Skewness7.7539668
Sum291680
Variance1.0710882 × 109
MonotonicityNot monotonic
2024-04-18T04:30:13.942433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 50
79.4%
940 1
 
1.6%
2440 1
 
1.6%
4500 1
 
1.6%
960 1
 
1.6%
4885 1
 
1.6%
16310 1
 
1.6%
80 1
 
1.6%
255595 1
 
1.6%
2355 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 50
79.4%
80 1
 
1.6%
940 1
 
1.6%
960 1
 
1.6%
1025 1
 
1.6%
2355 1
 
1.6%
2440 1
 
1.6%
2590 1
 
1.6%
4500 1
 
1.6%
4885 1
 
1.6%
ValueCountFrequency (%)
255595 1
1.6%
16310 1
1.6%
4885 1
1.6%
4500 1
1.6%
2590 1
1.6%
2440 1
1.6%
2355 1
1.6%
1025 1
1.6%
960 1
1.6%
940 1
1.6%

2020-08-26
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)15.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean6677.8333
Minimum0
Maximum379200
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:14.021144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4038.5
Maximum379200
Range379200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48920.134
Coefficient of variation (CV)7.3257495
Kurtosis59.934977
Mean6677.8333
Median Absolute Deviation (MAD)0
Skewness7.739811
Sum400670
Variance2.3931795 × 109
MonotonicityNot monotonic
2024-04-18T04:30:14.099318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 52
82.5%
4390 1
 
1.6%
4020 1
 
1.6%
2450 1
 
1.6%
2280 1
 
1.6%
4840 1
 
1.6%
260 1
 
1.6%
379200 1
 
1.6%
3230 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 52
82.5%
260 1
 
1.6%
2280 1
 
1.6%
2450 1
 
1.6%
3230 1
 
1.6%
4020 1
 
1.6%
4390 1
 
1.6%
4840 1
 
1.6%
379200 1
 
1.6%
ValueCountFrequency (%)
379200 1
 
1.6%
4840 1
 
1.6%
4390 1
 
1.6%
4020 1
 
1.6%
3230 1
 
1.6%
2450 1
 
1.6%
2280 1
 
1.6%
260 1
 
1.6%
0 52
82.5%

2020-08-25
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.7%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean5734.8305
Minimum0
Maximum298000
Zeros46
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:14.182635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4533.5
Maximum298000
Range298000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38741.915
Coefficient of variation (CV)6.7555466
Kurtosis58.768104
Mean5734.8305
Median Absolute Deviation (MAD)0
Skewness7.6591251
Sum338355
Variance1.5009359 × 109
MonotonicityNot monotonic
2024-04-18T04:30:14.261546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 46
73.0%
2820 1
 
1.6%
5825 1
 
1.6%
2600 1
 
1.6%
2730 1
 
1.6%
8910 1
 
1.6%
3555 1
 
1.6%
470 1
 
1.6%
298000 1
 
1.6%
3620 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 46
73.0%
470 1
 
1.6%
1540 1
 
1.6%
1855 1
 
1.6%
2040 1
 
1.6%
2600 1
 
1.6%
2730 1
 
1.6%
2820 1
 
1.6%
3555 1
 
1.6%
3620 1
 
1.6%
ValueCountFrequency (%)
298000 1
1.6%
8910 1
1.6%
5825 1
1.6%
4390 1
1.6%
3620 1
1.6%
3555 1
1.6%
2820 1
1.6%
2730 1
1.6%
2600 1
1.6%
2040 1
1.6%

2020-08-24
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.7%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean385.16667
Minimum0
Maximum4560
Zeros51
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:14.345617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2980
Maximum4560
Range4560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1047.3591
Coefficient of variation (CV)2.719236
Kurtosis6.8378935
Mean385.16667
Median Absolute Deviation (MAD)0
Skewness2.7773164
Sum23110
Variance1096961
MonotonicityNot monotonic
2024-04-18T04:30:14.425653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 51
81.0%
2690 1
 
1.6%
1070 1
 
1.6%
4050 1
 
1.6%
3170 1
 
1.6%
1650 1
 
1.6%
2970 1
 
1.6%
450 1
 
1.6%
4560 1
 
1.6%
2500 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 51
81.0%
450 1
 
1.6%
1070 1
 
1.6%
1650 1
 
1.6%
2500 1
 
1.6%
2690 1
 
1.6%
2970 1
 
1.6%
3170 1
 
1.6%
4050 1
 
1.6%
4560 1
 
1.6%
ValueCountFrequency (%)
4560 1
 
1.6%
4050 1
 
1.6%
3170 1
 
1.6%
2970 1
 
1.6%
2690 1
 
1.6%
2500 1
 
1.6%
1650 1
 
1.6%
1070 1
 
1.6%
450 1
 
1.6%
0 51
81.0%

2020-08-23
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.7%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean509.16667
Minimum0
Maximum9750
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:14.507193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2297.25
Maximum9750
Range9750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1532.987
Coefficient of variation (CV)3.0107765
Kurtosis23.930608
Mean509.16667
Median Absolute Deviation (MAD)0
Skewness4.5537026
Sum30550
Variance2350049.3
MonotonicityNot monotonic
2024-04-18T04:30:14.593712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 48
76.2%
850 1
 
1.6%
680 1
 
1.6%
2140 1
 
1.6%
5510 1
 
1.6%
2005 1
 
1.6%
9750 1
 
1.6%
2815 1
 
1.6%
480 1
 
1.6%
2270 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 48
76.2%
480 1
 
1.6%
680 1
 
1.6%
850 1
 
1.6%
1030 1
 
1.6%
1320 1
 
1.6%
1700 1
 
1.6%
2005 1
 
1.6%
2140 1
 
1.6%
2270 1
 
1.6%
ValueCountFrequency (%)
9750 1
1.6%
5510 1
1.6%
2815 1
1.6%
2270 1
1.6%
2140 1
1.6%
2005 1
1.6%
1700 1
1.6%
1320 1
1.6%
1030 1
1.6%
850 1
1.6%

2020-08-22
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
3
2875
 
1
80
 
1
1020
 
1

Length

Max length4
Median length1
Mean length1.2539683
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row2875
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 3
 
4.8%
2875 1
 
1.6%
80 1
 
1.6%
1020 1
 
1.6%

Length

2024-04-18T04:30:14.685680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:14.770414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 3
 
4.8%
2875 1
 
1.6%
80 1
 
1.6%
1020 1
 
1.6%

2020-08-21
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)23.3%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean9358
Minimum0
Maximum505570
Zeros47
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:14.846637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6353.25
Maximum505570
Range505570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65212.14
Coefficient of variation (CV)6.968598
Kurtosis59.74607
Mean9358
Median Absolute Deviation (MAD)0
Skewness7.7221721
Sum561480
Variance4.2526232 × 109
MonotonicityNot monotonic
2024-04-18T04:30:14.933917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 47
74.6%
4610 1
 
1.6%
1315 1
 
1.6%
6045 1
 
1.6%
2190 1
 
1.6%
17455 1
 
1.6%
12210 1
 
1.6%
860 1
 
1.6%
2440 1
 
1.6%
440 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 47
74.6%
440 1
 
1.6%
860 1
 
1.6%
1230 1
 
1.6%
1315 1
 
1.6%
1785 1
 
1.6%
2190 1
 
1.6%
2440 1
 
1.6%
4610 1
 
1.6%
5330 1
 
1.6%
ValueCountFrequency (%)
505570 1
1.6%
17455 1
1.6%
12210 1
1.6%
6045 1
1.6%
5330 1
1.6%
4610 1
1.6%
2440 1
1.6%
2190 1
1.6%
1785 1
1.6%
1315 1
1.6%

2020-08-20
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)32.2%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean12335.593
Minimum0
Maximum672870
Zeros40
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:15.016978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31045
95-th percentile5861
Maximum672870
Range672870
Interquartile range (IQR)1045

Descriptive statistics

Standard deviation87497.475
Coefficient of variation (CV)7.0930901
Kurtosis58.941636
Mean12335.593
Median Absolute Deviation (MAD)0
Skewness7.6755659
Sum727800
Variance7.655808 × 109
MonotonicityNot monotonic
2024-04-18T04:30:15.103660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 40
63.5%
1045 2
 
3.2%
6005 1
 
1.6%
672870 1
 
1.6%
3880 1
 
1.6%
5845 1
 
1.6%
2540 1
 
1.6%
1250 1
 
1.6%
4135 1
 
1.6%
4160 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 40
63.5%
90 1
 
1.6%
280 1
 
1.6%
720 1
 
1.6%
1045 2
 
3.2%
1100 1
 
1.6%
1250 1
 
1.6%
2540 1
 
1.6%
2885 1
 
1.6%
2905 1
 
1.6%
ValueCountFrequency (%)
672870 1
1.6%
8830 1
1.6%
6005 1
1.6%
5845 1
1.6%
4610 1
1.6%
4160 1
1.6%
4135 1
1.6%
3880 1
1.6%
3605 1
1.6%
2905 1
1.6%

2020-08-19
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2970.7377
Minimum0
Maximum158625
Zeros51
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:15.190901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4080
Maximum158625
Range158625
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20292.018
Coefficient of variation (CV)6.8306326
Kurtosis60.616889
Mean2970.7377
Median Absolute Deviation (MAD)0
Skewness7.7745917
Sum181215
Variance4.1176599 × 108
MonotonicityNot monotonic
2024-04-18T04:30:15.277366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 51
81.0%
750 2
 
3.2%
4520 1
 
1.6%
4080 1
 
1.6%
1835 1
 
1.6%
560 1
 
1.6%
2910 1
 
1.6%
158625 1
 
1.6%
5360 1
 
1.6%
1825 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 51
81.0%
560 1
 
1.6%
750 2
 
3.2%
1825 1
 
1.6%
1835 1
 
1.6%
2910 1
 
1.6%
4080 1
 
1.6%
4520 1
 
1.6%
5360 1
 
1.6%
158625 1
 
1.6%
ValueCountFrequency (%)
158625 1
 
1.6%
5360 1
 
1.6%
4520 1
 
1.6%
4080 1
 
1.6%
2910 1
 
1.6%
1835 1
 
1.6%
1825 1
 
1.6%
750 2
 
3.2%
560 1
 
1.6%
0 51
81.0%

2020-08-18
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)13.3%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean226.33333
Minimum0
Maximum5135
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:15.371651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1014.5
Maximum5135
Range5135
Interquartile range (IQR)0

Descriptive statistics

Standard deviation923.26469
Coefficient of variation (CV)4.0792254
Kurtosis20.907279
Mean226.33333
Median Absolute Deviation (MAD)0
Skewness4.5824808
Sum13580
Variance852417.68
MonotonicityNot monotonic
2024-04-18T04:30:15.450586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 53
84.1%
4480 1
 
1.6%
190 1
 
1.6%
2430 1
 
1.6%
5135 1
 
1.6%
940 1
 
1.6%
305 1
 
1.6%
100 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 53
84.1%
100 1
 
1.6%
190 1
 
1.6%
305 1
 
1.6%
940 1
 
1.6%
2430 1
 
1.6%
4480 1
 
1.6%
5135 1
 
1.6%
ValueCountFrequency (%)
5135 1
 
1.6%
4480 1
 
1.6%
2430 1
 
1.6%
940 1
 
1.6%
305 1
 
1.6%
190 1
 
1.6%
100 1
 
1.6%
0 53
84.1%

2020-08-17
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)20.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean666.5
Minimum0
Maximum11495
Zeros48
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:15.531052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4623.5
Maximum11495
Range11495
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2184.0846
Coefficient of variation (CV)3.2769462
Kurtosis13.997823
Mean666.5
Median Absolute Deviation (MAD)0
Skewness3.7483213
Sum39990
Variance4770225.7
MonotonicityNot monotonic
2024-04-18T04:30:15.615200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 48
76.2%
40 2
 
3.2%
4460 1
 
1.6%
400 1
 
1.6%
4190 1
 
1.6%
7730 1
 
1.6%
460 1
 
1.6%
11495 1
 
1.6%
340 1
 
1.6%
870 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 48
76.2%
40 2
 
3.2%
340 1
 
1.6%
400 1
 
1.6%
460 1
 
1.6%
870 1
 
1.6%
1250 1
 
1.6%
4190 1
 
1.6%
4460 1
 
1.6%
7730 1
 
1.6%
ValueCountFrequency (%)
11495 1
1.6%
8715 1
1.6%
7730 1
1.6%
4460 1
1.6%
4190 1
1.6%
1250 1
1.6%
870 1
1.6%
460 1
1.6%
400 1
1.6%
340 1
1.6%

2020-08-16
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)14.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean12603.77
Minimum0
Maximum750460
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:15.694127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2080
Maximum750460
Range750460
Interquartile range (IQR)0

Descriptive statistics

Standard deviation96055.692
Coefficient of variation (CV)7.621187
Kurtosis60.977745
Mean12603.77
Median Absolute Deviation (MAD)0
Skewness7.8081609
Sum768830
Variance9.226696 × 109
MonotonicityNot monotonic
2024-04-18T04:30:15.783577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 53
84.1%
1590 1
 
1.6%
250 1
 
1.6%
8960 1
 
1.6%
3440 1
 
1.6%
490 1
 
1.6%
750460 1
 
1.6%
1560 1
 
1.6%
2080 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 53
84.1%
250 1
 
1.6%
490 1
 
1.6%
1560 1
 
1.6%
1590 1
 
1.6%
2080 1
 
1.6%
3440 1
 
1.6%
8960 1
 
1.6%
750460 1
 
1.6%
ValueCountFrequency (%)
750460 1
 
1.6%
8960 1
 
1.6%
3440 1
 
1.6%
2080 1
 
1.6%
1590 1
 
1.6%
1560 1
 
1.6%
490 1
 
1.6%
250 1
 
1.6%
0 53
84.1%

2020-08-15
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
2
2720
 
1
2020
 
1
13350
 
1

Length

Max length5
Median length1
Mean length1.2698413
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 2
 
3.2%
2720 1
 
1.6%
2020 1
 
1.6%
13350 1
 
1.6%
20 1
 
1.6%

Length

2024-04-18T04:30:15.884206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:15.972952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 2
 
3.2%
2720 1
 
1.6%
2020 1
 
1.6%
13350 1
 
1.6%
20 1
 
1.6%

2020-08-14
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean8699.5082
Minimum0
Maximum510950
Zeros51
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:16.047667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2850
Maximum510950
Range510950
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65387.285
Coefficient of variation (CV)7.5162048
Kurtosis60.96501
Mean8699.5082
Median Absolute Deviation (MAD)0
Skewness7.8069642
Sum530670
Variance4.275497 × 109
MonotonicityNot monotonic
2024-04-18T04:30:16.134074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 51
81.0%
80 1
 
1.6%
2850 1
 
1.6%
1200 1
 
1.6%
6770 1
 
1.6%
1535 1
 
1.6%
210 1
 
1.6%
510950 1
 
1.6%
2710 1
 
1.6%
3135 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 51
81.0%
80 1
 
1.6%
210 1
 
1.6%
1200 1
 
1.6%
1230 1
 
1.6%
1535 1
 
1.6%
2710 1
 
1.6%
2850 1
 
1.6%
3135 1
 
1.6%
6770 1
 
1.6%
ValueCountFrequency (%)
510950 1
1.6%
6770 1
1.6%
3135 1
1.6%
2850 1
1.6%
2710 1
1.6%
1535 1
1.6%
1230 1
1.6%
1200 1
1.6%
210 1
1.6%
80 1
1.6%

2020-08-13
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)10.3%
Missing5
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean122.06897
Minimum0
Maximum3130
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:16.210697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile254.5
Maximum3130
Range3130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation552.56264
Coefficient of variation (CV)4.5266431
Kurtosis23.120815
Mean122.06897
Median Absolute Deviation (MAD)0
Skewness4.8334461
Sum7080
Variance305325.47
MonotonicityNot monotonic
2024-04-18T04:30:16.282480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 53
84.1%
2680 1
 
1.6%
40 1
 
1.6%
1130 1
 
1.6%
100 1
 
1.6%
3130 1
 
1.6%
(Missing) 5
 
7.9%
ValueCountFrequency (%)
0 53
84.1%
40 1
 
1.6%
100 1
 
1.6%
1130 1
 
1.6%
2680 1
 
1.6%
3130 1
 
1.6%
ValueCountFrequency (%)
3130 1
 
1.6%
2680 1
 
1.6%
1130 1
 
1.6%
100 1
 
1.6%
40 1
 
1.6%
0 53
84.1%

2020-08-12
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)10.3%
Missing5
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean124.74138
Minimum0
Maximum2800
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:16.354570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile619.5
Maximum2800
Range2800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation515.11915
Coefficient of variation (CV)4.129497
Kurtosis17.983974
Mean124.74138
Median Absolute Deviation (MAD)0
Skewness4.3045393
Sum7235
Variance265347.74
MonotonicityNot monotonic
2024-04-18T04:30:16.422567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 53
84.1%
1920 1
 
1.6%
2085 1
 
1.6%
2800 1
 
1.6%
40 1
 
1.6%
390 1
 
1.6%
(Missing) 5
 
7.9%
ValueCountFrequency (%)
0 53
84.1%
40 1
 
1.6%
390 1
 
1.6%
1920 1
 
1.6%
2085 1
 
1.6%
2800 1
 
1.6%
ValueCountFrequency (%)
2800 1
 
1.6%
2085 1
 
1.6%
1920 1
 
1.6%
390 1
 
1.6%
40 1
 
1.6%
0 53
84.1%

2020-08-11
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
3
80
 
1
7405
 
1
2990
 
1

Length

Max length4
Median length1
Mean length1.2539683
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 3
 
4.8%
80 1
 
1.6%
7405 1
 
1.6%
2990 1
 
1.6%

Length

2024-04-18T04:30:16.525685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:16.625546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 3
 
4.8%
80 1
 
1.6%
7405 1
 
1.6%
2990 1
 
1.6%

2020-08-10
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.9%
Missing4
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean180.67797
Minimum0
Maximum3410
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:16.692748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1700
Maximum3410
Range3410
Interquartile range (IQR)0

Descriptive statistics

Standard deviation636.62056
Coefficient of variation (CV)3.5235097
Kurtosis14.998564
Mean180.67797
Median Absolute Deviation (MAD)0
Skewness3.8532896
Sum10660
Variance405285.74
MonotonicityNot monotonic
2024-04-18T04:30:16.771138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 52
82.5%
1700 2
 
3.2%
2630 1
 
1.6%
160 1
 
1.6%
3410 1
 
1.6%
1040 1
 
1.6%
20 1
 
1.6%
(Missing) 4
 
6.3%
ValueCountFrequency (%)
0 52
82.5%
20 1
 
1.6%
160 1
 
1.6%
1040 1
 
1.6%
1700 2
 
3.2%
2630 1
 
1.6%
3410 1
 
1.6%
ValueCountFrequency (%)
3410 1
 
1.6%
2630 1
 
1.6%
1700 2
 
3.2%
1040 1
 
1.6%
160 1
 
1.6%
20 1
 
1.6%
0 52
82.5%

2020-08-09
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)10.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean172.25
Minimum0
Maximum4535
Zeros55
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:16.856027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1521.5
Maximum4535
Range4535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation711.06772
Coefficient of variation (CV)4.1281145
Kurtosis25.889083
Mean172.25
Median Absolute Deviation (MAD)0
Skewness4.8725853
Sum10335
Variance505617.31
MonotonicityNot monotonic
2024-04-18T04:30:16.928459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 55
87.3%
160 1
 
1.6%
2390 1
 
1.6%
1510 1
 
1.6%
1740 1
 
1.6%
4535 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 55
87.3%
160 1
 
1.6%
1510 1
 
1.6%
1740 1
 
1.6%
2390 1
 
1.6%
4535 1
 
1.6%
ValueCountFrequency (%)
4535 1
 
1.6%
2390 1
 
1.6%
1740 1
 
1.6%
1510 1
 
1.6%
160 1
 
1.6%
0 55
87.3%

2020-08-08
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
59 
<NA>
 
2
110
 
1
1095
 
1

Length

Max length4
Median length1
Mean length1.1746032
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
93.7%
<NA> 2
 
3.2%
110 1
 
1.6%
1095 1
 
1.6%

Length

2024-04-18T04:30:17.017041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:17.094885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
na 2
 
3.2%
110 1
 
1.6%
1095 1
 
1.6%

2020-08-07
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
2
220
 
1
2590
 
1
990
 
1

Length

Max length4
Median length1
Mean length1.2063492
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 2
 
3.2%
220 1
 
1.6%
2590 1
 
1.6%
990 1
 
1.6%

Length

2024-04-18T04:30:17.188858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:17.287868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 2
 
3.2%
220 1
 
1.6%
2590 1
 
1.6%
990 1
 
1.6%

2020-08-06
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
57 
<NA>
 
2
2100
 
1
965
 
1
1670
 
1

Length

Max length4
Median length1
Mean length1.2380952
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
90.5%
<NA> 2
 
3.2%
2100 1
 
1.6%
965 1
 
1.6%
1670 1
 
1.6%
50 1
 
1.6%

Length

2024-04-18T04:30:17.374759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:17.457139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
90.5%
na 2
 
3.2%
2100 1
 
1.6%
965 1
 
1.6%
1670 1
 
1.6%
50 1
 
1.6%

2020-08-05
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)30.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean842.08333
Minimum0
Maximum9940
Zeros43
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:17.543626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3572.5
95-th percentile4026.75
Maximum9940
Range9940
Interquartile range (IQR)572.5

Descriptive statistics

Standard deviation1988.3129
Coefficient of variation (CV)2.3611831
Kurtosis11.03715
Mean842.08333
Median Absolute Deviation (MAD)0
Skewness3.201827
Sum50525
Variance3953388.4
MonotonicityNot monotonic
2024-04-18T04:30:17.629765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 43
68.3%
610 1
 
1.6%
8915 1
 
1.6%
9940 1
 
1.6%
1950 1
 
1.6%
1260 1
 
1.6%
1120 1
 
1.6%
130 1
 
1.6%
2195 1
 
1.6%
2850 1
 
1.6%
Other values (8) 8
 
12.7%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0 43
68.3%
130 1
 
1.6%
560 1
 
1.6%
610 1
 
1.6%
900 1
 
1.6%
1120 1
 
1.6%
1260 1
 
1.6%
1950 1
 
1.6%
2090 1
 
1.6%
2140 1
 
1.6%
ValueCountFrequency (%)
9940 1
1.6%
8915 1
1.6%
5580 1
1.6%
3945 1
1.6%
3750 1
1.6%
2850 1
1.6%
2590 1
1.6%
2195 1
1.6%
2140 1
1.6%
2090 1
1.6%

2020-08-04
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)9.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1167.7049
Minimum0
Maximum29820
Zeros56
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:17.702957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1480
Maximum29820
Range29820
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5409.6483
Coefficient of variation (CV)4.6327186
Kurtosis23.834967
Mean1167.7049
Median Absolute Deviation (MAD)0
Skewness4.9216873
Sum71230
Variance29264295
MonotonicityNot monotonic
2024-04-18T04:30:17.777605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 56
88.9%
1480 1
 
1.6%
11260 1
 
1.6%
28650 1
 
1.6%
20 1
 
1.6%
29820 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 56
88.9%
20 1
 
1.6%
1480 1
 
1.6%
11260 1
 
1.6%
28650 1
 
1.6%
29820 1
 
1.6%
ValueCountFrequency (%)
29820 1
 
1.6%
28650 1
 
1.6%
11260 1
 
1.6%
1480 1
 
1.6%
20 1
 
1.6%
0 56
88.9%

2020-08-03
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
2
110
 
1
4830
 
1
720
 
1

Length

Max length4
Median length1
Mean length1.2063492
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 2
 
3.2%
110 1
 
1.6%
4830 1
 
1.6%
720 1
 
1.6%

Length

2024-04-18T04:30:17.869922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:17.951525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 2
 
3.2%
110 1
 
1.6%
4830 1
 
1.6%
720 1
 
1.6%

2020-08-02
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
58 
<NA>
 
2
5595
 
1
1100
 
1
5250
 
1

Length

Max length4
Median length1
Mean length1.2380952
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row5595

Common Values

ValueCountFrequency (%)
0 58
92.1%
<NA> 2
 
3.2%
5595 1
 
1.6%
1100 1
 
1.6%
5250 1
 
1.6%

Length

2024-04-18T04:30:18.038458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:18.120175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
92.1%
na 2
 
3.2%
5595 1
 
1.6%
1100 1
 
1.6%
5250 1
 
1.6%

2020-08-01
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)13.1%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean479.2623
Minimum0
Maximum16260
Zeros54
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:18.192747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1880
Maximum16260
Range16260
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2185.4587
Coefficient of variation (CV)4.5600473
Kurtosis47.146611
Mean479.2623
Median Absolute Deviation (MAD)0
Skewness6.6079026
Sum29235
Variance4776229.9
MonotonicityNot monotonic
2024-04-18T04:30:18.273989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 54
85.7%
4435 1
 
1.6%
1880 1
 
1.6%
1220 1
 
1.6%
2740 1
 
1.6%
930 1
 
1.6%
1770 1
 
1.6%
16260 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 54
85.7%
930 1
 
1.6%
1220 1
 
1.6%
1770 1
 
1.6%
1880 1
 
1.6%
2740 1
 
1.6%
4435 1
 
1.6%
16260 1
 
1.6%
ValueCountFrequency (%)
16260 1
 
1.6%
4435 1
 
1.6%
2740 1
 
1.6%
1880 1
 
1.6%
1770 1
 
1.6%
1220 1
 
1.6%
930 1
 
1.6%
0 54
85.7%

2020-07-31
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean628.52459
Minimum0
Maximum14160
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:18.354991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3045
Maximum14160
Range14160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2452.8233
Coefficient of variation (CV)3.9025096
Kurtosis22.360109
Mean628.52459
Median Absolute Deviation (MAD)0
Skewness4.6801105
Sum38340
Variance6016342
MonotonicityNot monotonic
2024-04-18T04:30:18.430760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
3045 1
 
1.6%
5060 1
 
1.6%
740 1
 
1.6%
14160 1
 
1.6%
510 1
 
1.6%
11905 1
 
1.6%
130 1
 
1.6%
2670 1
 
1.6%
120 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
120 1
 
1.6%
130 1
 
1.6%
510 1
 
1.6%
740 1
 
1.6%
2670 1
 
1.6%
3045 1
 
1.6%
5060 1
 
1.6%
11905 1
 
1.6%
14160 1
 
1.6%
ValueCountFrequency (%)
14160 1
 
1.6%
11905 1
 
1.6%
5060 1
 
1.6%
3045 1
 
1.6%
2670 1
 
1.6%
740 1
 
1.6%
510 1
 
1.6%
130 1
 
1.6%
120 1
 
1.6%
0 52
82.5%

2020-07-30
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)14.8%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1182.8689
Minimum0
Maximum43295
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:18.513930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2540
Maximum43295
Range43295
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5908.951
Coefficient of variation (CV)4.9954405
Kurtosis45.127311
Mean1182.8689
Median Absolute Deviation (MAD)0
Skewness6.5168036
Sum72155
Variance34915702
MonotonicityNot monotonic
2024-04-18T04:30:18.588614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 53
84.1%
5520 1
 
1.6%
2420 1
 
1.6%
16140 1
 
1.6%
43295 1
 
1.6%
750 1
 
1.6%
80 1
 
1.6%
2540 1
 
1.6%
1410 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 53
84.1%
80 1
 
1.6%
750 1
 
1.6%
1410 1
 
1.6%
2420 1
 
1.6%
2540 1
 
1.6%
5520 1
 
1.6%
16140 1
 
1.6%
43295 1
 
1.6%
ValueCountFrequency (%)
43295 1
 
1.6%
16140 1
 
1.6%
5520 1
 
1.6%
2540 1
 
1.6%
2420 1
 
1.6%
1410 1
 
1.6%
750 1
 
1.6%
80 1
 
1.6%
0 53
84.1%

2020-07-29
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.4%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1007.2131
Minimum0
Maximum33520
Zeros52
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:18.664248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2590
Maximum33520
Range33520
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4829.9389
Coefficient of variation (CV)4.7953495
Kurtosis37.340627
Mean1007.2131
Median Absolute Deviation (MAD)0
Skewness5.9699314
Sum61440
Variance23328310
MonotonicityNot monotonic
2024-04-18T04:30:18.744302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
82.5%
2590 1
 
1.6%
100 1
 
1.6%
1255 1
 
1.6%
17770 1
 
1.6%
33520 1
 
1.6%
80 1
 
1.6%
1300 1
 
1.6%
1870 1
 
1.6%
2955 1
 
1.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
0 52
82.5%
80 1
 
1.6%
100 1
 
1.6%
1255 1
 
1.6%
1300 1
 
1.6%
1870 1
 
1.6%
2590 1
 
1.6%
2955 1
 
1.6%
17770 1
 
1.6%
33520 1
 
1.6%
ValueCountFrequency (%)
33520 1
 
1.6%
17770 1
 
1.6%
2955 1
 
1.6%
2590 1
 
1.6%
1870 1
 
1.6%
1300 1
 
1.6%
1255 1
 
1.6%
100 1
 
1.6%
80 1
 
1.6%
0 52
82.5%

2020-07-28
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)44.4%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean558.31578
Minimum0
Maximum15780
Zeros24
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:18.828143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325
95-th percentile1619.734
Maximum15780
Range15780
Interquartile range (IQR)25

Descriptive statistics

Standard deviation2421.1399
Coefficient of variation (CV)4.3365063
Kurtosis37.595169
Mean558.31578
Median Absolute Deviation (MAD)0
Skewness5.9727908
Sum25124.21
Variance5861918.4
MonotonicityNot monotonic
2024-04-18T04:30:18.917361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 24
38.1%
6.0 2
 
3.2%
30.0 2
 
3.2%
1693.0 1
 
1.6%
5.0 1
 
1.6%
12.5 1
 
1.6%
25.0 1
 
1.6%
40.0 1
 
1.6%
8.0 1
 
1.6%
43.33 1
 
1.6%
Other values (10) 10
15.9%
(Missing) 18
28.6%
ValueCountFrequency (%)
0.0 24
38.1%
3.0 1
 
1.6%
5.0 1
 
1.6%
6.0 2
 
3.2%
8.0 1
 
1.6%
8.33 1
 
1.6%
10.0 1
 
1.6%
12.5 1
 
1.6%
15.71 1
 
1.6%
25.0 1
 
1.6%
ValueCountFrequency (%)
15780.0 1
1.6%
4020.0 1
1.6%
1693.0 1
1.6%
1326.67 1
1.6%
1250.0 1
1.6%
765.0 1
1.6%
46.67 1
1.6%
43.33 1
1.6%
40.0 1
1.6%
30.0 2
3.2%

2020-07-27
Categorical

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
41 
<NA>
18 
1550
 
1
20
 
1
5340
 
1

Length

Max length4
Median length1
Mean length2.015873
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 41
65.1%
<NA> 18
28.6%
1550 1
 
1.6%
20 1
 
1.6%
5340 1
 
1.6%
1320 1
 
1.6%

Length

2024-04-18T04:30:19.018749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:19.382221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
65.1%
na 18
28.6%
1550 1
 
1.6%
20 1
 
1.6%
5340 1
 
1.6%
1320 1
 
1.6%

2020-07-26
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)17.8%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean10043.593
Minimum0
Maximum415946.67
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:19.456769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5708
Maximum415946.67
Range415946.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61958.876
Coefficient of variation (CV)6.1689953
Kurtosis44.766427
Mean10043.593
Median Absolute Deviation (MAD)0
Skewness6.6832889
Sum451961.67
Variance3.8389023 × 109
MonotonicityNot monotonic
2024-04-18T04:30:19.528269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 38
60.3%
19015.0 1
 
1.6%
4780.0 1
 
1.6%
310.0 1
 
1.6%
415946.67 1
 
1.6%
5940.0 1
 
1.6%
3925.0 1
 
1.6%
2045.0 1
 
1.6%
(Missing) 18
28.6%
ValueCountFrequency (%)
0.0 38
60.3%
310.0 1
 
1.6%
2045.0 1
 
1.6%
3925.0 1
 
1.6%
4780.0 1
 
1.6%
5940.0 1
 
1.6%
19015.0 1
 
1.6%
415946.67 1
 
1.6%
ValueCountFrequency (%)
415946.67 1
 
1.6%
19015.0 1
 
1.6%
5940.0 1
 
1.6%
4780.0 1
 
1.6%
3925.0 1
 
1.6%
2045.0 1
 
1.6%
310.0 1
 
1.6%
0.0 38
60.3%

2020-07-25
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)13.3%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean15476.667
Minimum0
Maximum687790
Zeros40
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:19.598926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2646
Maximum687790
Range687790
Interquartile range (IQR)0

Descriptive statistics

Standard deviation102503.15
Coefficient of variation (CV)6.6230769
Kurtosis44.994713
Mean15476.667
Median Absolute Deviation (MAD)0
Skewness6.7076275
Sum696450
Variance1.0506897 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:19.683187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 40
63.5%
2960 1
 
1.6%
270 1
 
1.6%
687790 1
 
1.6%
4040 1
 
1.6%
1390 1
 
1.6%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 40
63.5%
270 1
 
1.6%
1390 1
 
1.6%
2960 1
 
1.6%
4040 1
 
1.6%
687790 1
 
1.6%
ValueCountFrequency (%)
687790 1
 
1.6%
4040 1
 
1.6%
2960 1
 
1.6%
1390 1
 
1.6%
270 1
 
1.6%
0 40
63.5%

2020-07-24
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)17.8%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean382
Minimum0
Maximum5990
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:19.758687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2480
Maximum5990
Range5990
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1201.9995
Coefficient of variation (CV)3.1465955
Kurtosis13.882589
Mean382
Median Absolute Deviation (MAD)0
Skewness3.696735
Sum17190
Variance1444802.7
MonotonicityNot monotonic
2024-04-18T04:30:19.832444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 38
60.3%
1480 1
 
1.6%
5990 1
 
1.6%
80 1
 
1.6%
2730 1
 
1.6%
1300 1
 
1.6%
910 1
 
1.6%
4700 1
 
1.6%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 38
60.3%
80 1
 
1.6%
910 1
 
1.6%
1300 1
 
1.6%
1480 1
 
1.6%
2730 1
 
1.6%
4700 1
 
1.6%
5990 1
 
1.6%
ValueCountFrequency (%)
5990 1
 
1.6%
4700 1
 
1.6%
2730 1
 
1.6%
1480 1
 
1.6%
1300 1
 
1.6%
910 1
 
1.6%
80 1
 
1.6%
0 38
60.3%

2020-07-23
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
43 
<NA>
18 
633730
 
1
1890
 
1

Length

Max length6
Median length1
Mean length1.984127
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 43
68.3%
<NA> 18
28.6%
633730 1
 
1.6%
1890 1
 
1.6%

Length

2024-04-18T04:30:19.921464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:19.998063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
68.3%
na 18
28.6%
633730 1
 
1.6%
1890 1
 
1.6%

2020-07-22
Categorical

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
42 
<NA>
18 
1490
 
1
3860
 
1
1300
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row1490
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 42
66.7%
<NA> 18
28.6%
1490 1
 
1.6%
3860 1
 
1.6%
1300 1
 
1.6%

Length

2024-04-18T04:30:20.083445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:20.164052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
66.7%
na 18
28.6%
1490 1
 
1.6%
3860 1
 
1.6%
1300 1
 
1.6%

2020-07-21
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)19.6%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean485.21739
Minimum0
Maximum4380
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:20.239378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3650
Maximum4380
Range4380
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1196.1006
Coefficient of variation (CV)2.4650819
Kurtosis4.2384969
Mean485.21739
Median Absolute Deviation (MAD)0
Skewness2.3536969
Sum22320
Variance1430656.6
MonotonicityNot monotonic
2024-04-18T04:30:20.311885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 38
60.3%
2930 1
 
1.6%
3890 1
 
1.6%
4020 1
 
1.6%
2540 1
 
1.6%
320 1
 
1.6%
4380 1
 
1.6%
2670 1
 
1.6%
1570 1
 
1.6%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 38
60.3%
320 1
 
1.6%
1570 1
 
1.6%
2540 1
 
1.6%
2670 1
 
1.6%
2930 1
 
1.6%
3890 1
 
1.6%
4020 1
 
1.6%
4380 1
 
1.6%
ValueCountFrequency (%)
4380 1
 
1.6%
4020 1
 
1.6%
3890 1
 
1.6%
2930 1
 
1.6%
2670 1
 
1.6%
2540 1
 
1.6%
1570 1
 
1.6%
320 1
 
1.6%
0 38
60.3%

2020-07-20
Categorical

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
42 
<NA>
18 
1960
 
1
5040
 
1
1325
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 42
66.7%
<NA> 18
28.6%
1960 1
 
1.6%
5040 1
 
1.6%
1325 1
 
1.6%

Length

2024-04-18T04:30:20.400219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:20.479961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
66.7%
na 18
28.6%
1960 1
 
1.6%
5040 1
 
1.6%
1325 1
 
1.6%

2020-07-19
Categorical

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
43 
<NA>
17 
3965
 
1
10
 
1
1730
 
1

Length

Max length4
Median length1
Mean length1.9206349
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 43
68.3%
<NA> 17
 
27.0%
3965 1
 
1.6%
10 1
 
1.6%
1730 1
 
1.6%

Length

2024-04-18T04:30:20.577944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:20.658528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
68.3%
na 17
 
27.0%
3965 1
 
1.6%
10 1
 
1.6%
1730 1
 
1.6%

2020-07-18
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)21.7%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1334.2391
Minimum0
Maximum18570
Zeros37
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:20.731055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7257.5
Maximum18570
Range18570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3932.2846
Coefficient of variation (CV)2.9472113
Kurtosis13.085578
Mean1334.2391
Median Absolute Deviation (MAD)0
Skewness3.598797
Sum61375
Variance15462862
MonotonicityNot monotonic
2024-04-18T04:30:20.810789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 37
58.7%
3530 1
 
1.6%
18570 1
 
1.6%
7430 1
 
1.6%
210 1
 
1.6%
6740 1
 
1.6%
2085 1
 
1.6%
1250 1
 
1.6%
17160 1
 
1.6%
4400 1
 
1.6%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 37
58.7%
210 1
 
1.6%
1250 1
 
1.6%
2085 1
 
1.6%
3530 1
 
1.6%
4400 1
 
1.6%
6740 1
 
1.6%
7430 1
 
1.6%
17160 1
 
1.6%
18570 1
 
1.6%
ValueCountFrequency (%)
18570 1
 
1.6%
17160 1
 
1.6%
7430 1
 
1.6%
6740 1
 
1.6%
4400 1
 
1.6%
3530 1
 
1.6%
2085 1
 
1.6%
1250 1
 
1.6%
210 1
 
1.6%
0 37
58.7%

2020-07-17
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)30.4%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean23637.935
Minimum0
Maximum1034675
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:20.895997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3766.25
95-th percentile5462.5
Maximum1034675
Range1034675
Interquartile range (IQR)766.25

Descriptive statistics

Standard deviation152431.03
Coefficient of variation (CV)6.4485766
Kurtosis45.936677
Mean23637.935
Median Absolute Deviation (MAD)0
Skewness6.7755734
Sum1087345
Variance2.323522 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:20.990459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 33
52.4%
3005 1
 
1.6%
5790 1
 
1.6%
3260 1
 
1.6%
860 1
 
1.6%
4480 1
 
1.6%
2200 1
 
1.6%
1034675 1
 
1.6%
2690 1
 
1.6%
485 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 33
52.4%
485 1
 
1.6%
860 1
 
1.6%
1070 1
 
1.6%
1300 1
 
1.6%
2200 1
 
1.6%
2210 1
 
1.6%
2690 1
 
1.6%
3005 1
 
1.6%
3260 1
 
1.6%
ValueCountFrequency (%)
1034675 1
1.6%
25320 1
1.6%
5790 1
1.6%
4480 1
1.6%
3260 1
1.6%
3005 1
1.6%
2690 1
1.6%
2210 1
1.6%
2200 1
1.6%
1300 1
1.6%

2020-07-16
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)23.9%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1000.8696
Minimum0
Maximum17490
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:21.070306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4240
Maximum17490
Range17490
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3316.2581
Coefficient of variation (CV)3.313377
Kurtosis17.773269
Mean1000.8696
Median Absolute Deviation (MAD)0
Skewness4.1735157
Sum46040
Variance10997568
MonotonicityNot monotonic
2024-04-18T04:30:21.151110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 36
57.1%
50 1
 
1.6%
13670 1
 
1.6%
580 1
 
1.6%
510 1
 
1.6%
4280 1
 
1.6%
2720 1
 
1.6%
2170 1
 
1.6%
4120 1
 
1.6%
450 1
 
1.6%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 36
57.1%
50 1
 
1.6%
450 1
 
1.6%
510 1
 
1.6%
580 1
 
1.6%
2170 1
 
1.6%
2720 1
 
1.6%
4120 1
 
1.6%
4280 1
 
1.6%
13670 1
 
1.6%
ValueCountFrequency (%)
17490 1
1.6%
13670 1
1.6%
4280 1
1.6%
4120 1
1.6%
2720 1
1.6%
2170 1
1.6%
580 1
1.6%
510 1
1.6%
450 1
1.6%
50 1
1.6%

2020-07-15
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)25.5%
Missing16
Missing (%)25.4%
Infinite0
Infinite (%)0.0%
Mean1469.2979
Minimum0
Maximum27782
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:21.235736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7497
Maximum27782
Range27782
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4440.5451
Coefficient of variation (CV)3.0222225
Kurtosis27.667576
Mean1469.2979
Median Absolute Deviation (MAD)0
Skewness4.9051986
Sum69057
Variance19718441
MonotonicityNot monotonic
2024-04-18T04:30:21.327211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 36
57.1%
2940 1
 
1.6%
8575 1
 
1.6%
4240 1
 
1.6%
1680 1
 
1.6%
7000 1
 
1.6%
1750 1
 
1.6%
27782 1
 
1.6%
1300 1
 
1.6%
2035 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 16
25.4%
ValueCountFrequency (%)
0 36
57.1%
1300 1
 
1.6%
1680 1
 
1.6%
1750 1
 
1.6%
2035 1
 
1.6%
2940 1
 
1.6%
4045 1
 
1.6%
4240 1
 
1.6%
7000 1
 
1.6%
7710 1
 
1.6%
ValueCountFrequency (%)
27782 1
1.6%
8575 1
1.6%
7710 1
1.6%
7000 1
1.6%
4240 1
1.6%
4045 1
1.6%
2940 1
1.6%
2035 1
1.6%
1750 1
1.6%
1680 1
1.6%

2020-07-14
Categorical

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
44 
<NA>
18 
30
 
1

Length

Max length4
Median length1
Mean length1.8730159
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
69.8%
<NA> 18
28.6%
30 1
 
1.6%

Length

2024-04-18T04:30:21.420286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:21.499408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
69.8%
na 18
28.6%
30 1
 
1.6%

2020-07-13
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
42 
<NA>
17 
2050
 
1
1370
 
1
1290
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2050

Common Values

ValueCountFrequency (%)
0 42
66.7%
<NA> 17
27.0%
2050 1
 
1.6%
1370 1
 
1.6%
1290 1
 
1.6%
1010 1
 
1.6%

Length

2024-04-18T04:30:21.581315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:21.663309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
66.7%
na 17
27.0%
2050 1
 
1.6%
1370 1
 
1.6%
1290 1
 
1.6%
1010 1
 
1.6%

2020-07-12
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)26.1%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1799.5
Minimum0
Maximum33360
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:21.741029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile12851.5
Maximum33360
Range33360
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5794.2837
Coefficient of variation (CV)3.2199409
Kurtosis20.376167
Mean1799.5
Median Absolute Deviation (MAD)0
Skewness4.2623945
Sum82777
Variance33573723
MonotonicityNot monotonic
2024-04-18T04:30:21.817837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 33
52.4%
10 2
 
3.2%
50 2
 
3.2%
33360 1
 
1.6%
8215 1
 
1.6%
3860 1
 
1.6%
14397 1
 
1.6%
60 1
 
1.6%
14635 1
 
1.6%
6330 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 33
52.4%
10 2
 
3.2%
50 2
 
3.2%
60 1
 
1.6%
80 1
 
1.6%
1720 1
 
1.6%
3860 1
 
1.6%
6330 1
 
1.6%
8215 1
 
1.6%
14397 1
 
1.6%
ValueCountFrequency (%)
33360 1
1.6%
14635 1
1.6%
14397 1
1.6%
8215 1
1.6%
6330 1
1.6%
3860 1
1.6%
1720 1
1.6%
80 1
1.6%
60 1
1.6%
50 2
3.2%

2020-07-11
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)43.8%
Missing15
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean56761.021
Minimum0
Maximum1028660
Zeros28
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:21.908683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32650
95-th percentile413508.75
Maximum1028660
Range1028660
Interquartile range (IQR)2650

Descriptive statistics

Standard deviation216977.48
Coefficient of variation (CV)3.8226494
Kurtosis14.929793
Mean56761.021
Median Absolute Deviation (MAD)0
Skewness3.9742092
Sum2724529
Variance4.7079228 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:22.004356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 28
44.4%
2050 1
 
1.6%
2990 1
 
1.6%
790 1
 
1.6%
2160 1
 
1.6%
335 1
 
1.6%
7690 1
 
1.6%
32625 1
 
1.6%
961500 1
 
1.6%
2620 1
 
1.6%
Other values (11) 11
 
17.5%
(Missing) 15
23.8%
ValueCountFrequency (%)
0 28
44.4%
335 1
 
1.6%
396 1
 
1.6%
790 1
 
1.6%
1090 1
 
1.6%
2050 1
 
1.6%
2160 1
 
1.6%
2400 1
 
1.6%
2620 1
 
1.6%
2740 1
 
1.6%
ValueCountFrequency (%)
1028660 1
1.6%
961500 1
1.6%
618600 1
1.6%
32625 1
1.6%
23118 1
1.6%
15760 1
1.6%
8525 1
1.6%
7690 1
1.6%
7140 1
1.6%
3340 1
1.6%

2020-07-10
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)31.9%
Missing16
Missing (%)25.4%
Infinite0
Infinite (%)0.0%
Mean2334.8936
Minimum0
Maximum25495
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:22.093182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31390
95-th percentile14624
Maximum25495
Range25495
Interquartile range (IQR)1390

Descriptive statistics

Standard deviation5712.5302
Coefficient of variation (CV)2.4465912
Kurtosis9.5559259
Mean2334.8936
Median Absolute Deviation (MAD)0
Skewness3.1138002
Sum109740
Variance32633002
MonotonicityNot monotonic
2024-04-18T04:30:22.199942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 33
52.4%
260 1
 
1.6%
17375 1
 
1.6%
25495 1
 
1.6%
8205 1
 
1.6%
2790 1
 
1.6%
6720 1
 
1.6%
23645 1
 
1.6%
3270 1
 
1.6%
3260 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 16
25.4%
ValueCountFrequency (%)
0 33
52.4%
260 1
 
1.6%
1300 1
 
1.6%
1480 1
 
1.6%
2150 1
 
1.6%
2790 1
 
1.6%
3260 1
 
1.6%
3270 1
 
1.6%
6140 1
 
1.6%
6720 1
 
1.6%
ValueCountFrequency (%)
25495 1
1.6%
23645 1
1.6%
17375 1
1.6%
8205 1
1.6%
7650 1
1.6%
6720 1
1.6%
6140 1
1.6%
3270 1
1.6%
3260 1
1.6%
2790 1
1.6%

2020-07-09
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)37.5%
Missing15
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean31075.521
Minimum0
Maximum1412105
Zeros31
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:22.297242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31295
95-th percentile10567.25
Maximum1412105
Range1412105
Interquartile range (IQR)1295

Descriptive statistics

Standard deviation203618.26
Coefficient of variation (CV)6.5523685
Kurtosis47.957136
Mean31075.521
Median Absolute Deviation (MAD)0
Skewness6.9236938
Sum1491625
Variance4.1460397 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:22.406643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 31
49.2%
4910 1
 
1.6%
6625 1
 
1.6%
1170 1
 
1.6%
1105 1
 
1.6%
2185 1
 
1.6%
410 1
 
1.6%
12690 1
 
1.6%
1412105 1
 
1.6%
70 1
 
1.6%
Other values (8) 8
 
12.7%
(Missing) 15
23.8%
ValueCountFrequency (%)
0 31
49.2%
70 1
 
1.6%
410 1
 
1.6%
610 1
 
1.6%
1105 1
 
1.6%
1170 1
 
1.6%
1670 1
 
1.6%
2185 1
 
1.6%
3150 1
 
1.6%
3840 1
 
1.6%
ValueCountFrequency (%)
1412105 1
1.6%
24340 1
1.6%
12690 1
1.6%
6625 1
1.6%
6315 1
1.6%
5380 1
1.6%
5050 1
1.6%
4910 1
1.6%
3840 1
1.6%
3150 1
1.6%

2020-07-08
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)45.8%
Missing15
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean36578.764
Minimum0
Maximum1173230
Zeros27
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:22.521528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33797.5
95-th percentile21828.085
Maximum1173230
Range1173230
Interquartile range (IQR)3797.5

Descriptive statistics

Standard deviation180567.06
Coefficient of variation (CV)4.9363905
Kurtosis35.546131
Mean36578.764
Median Absolute Deviation (MAD)0
Skewness5.8331214
Sum1755780.7
Variance3.2604464 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:22.636160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 27
42.9%
1173230.0 1
 
1.6%
16835.0 1
 
1.6%
6600.0 1
 
1.6%
1820.0 1
 
1.6%
6585.0 1
 
1.6%
900.0 1
 
1.6%
1290.0 1
 
1.6%
1060.0 1
 
1.6%
2170.0 1
 
1.6%
Other values (12) 12
19.0%
(Missing) 15
23.8%
ValueCountFrequency (%)
0.0 27
42.9%
900.0 1
 
1.6%
1060.0 1
 
1.6%
1290.0 1
 
1.6%
1590.0 1
 
1.6%
1814.0 1
 
1.6%
1820.0 1
 
1.6%
2050.0 1
 
1.6%
2170.0 1
 
1.6%
3310.0 1
 
1.6%
ValueCountFrequency (%)
1173230.0 1
1.6%
467785.0 1
1.6%
24516.67 1
1.6%
16835.0 1
1.6%
9930.0 1
1.6%
8275.0 1
1.6%
7320.0 1
1.6%
6740.0 1
1.6%
6700.0 1
1.6%
6600.0 1
1.6%

2020-07-07
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)42.6%
Missing16
Missing (%)25.4%
Infinite0
Infinite (%)0.0%
Mean28316.86
Minimum0
Maximum920770
Zeros28
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:22.745867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31135
95-th percentile63193.501
Maximum920770
Range920770
Interquartile range (IQR)1135

Descriptive statistics

Standard deviation139140.72
Coefficient of variation (CV)4.9137059
Kurtosis38.945931
Mean28316.86
Median Absolute Deviation (MAD)0
Skewness6.1047698
Sum1330892.4
Variance1.9360141 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:22.847085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 28
44.4%
920770.0 1
 
1.6%
79731.43 1
 
1.6%
6375.0 1
 
1.6%
70.0 1
 
1.6%
10.0 1
 
1.6%
750.0 1
 
1.6%
200.0 1
 
1.6%
20.0 1
 
1.6%
2545.0 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 16
25.4%
ValueCountFrequency (%)
0.0 28
44.4%
10.0 1
 
1.6%
20.0 1
 
1.6%
50.0 1
 
1.6%
70.0 1
 
1.6%
200.0 1
 
1.6%
211.0 1
 
1.6%
750.0 1
 
1.6%
1520.0 1
 
1.6%
1660.0 1
 
1.6%
ValueCountFrequency (%)
920770.0 1
1.6%
270670.0 1
1.6%
79731.43 1
1.6%
24605.0 1
1.6%
9245.0 1
1.6%
7830.0 1
1.6%
6375.0 1
1.6%
2900.0 1
1.6%
2545.0 1
1.6%
1730.0 1
1.6%

2020-07-06
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)47.8%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean49279.494
Minimum0
Maximum1137785
Zeros25
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:22.929829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32376.25
95-th percentile79884.598
Maximum1137785
Range1137785
Interquartile range (IQR)2376.25

Descriptive statistics

Standard deviation208771.35
Coefficient of variation (CV)4.2364751
Kurtosis21.763424
Mean49279.494
Median Absolute Deviation (MAD)0
Skewness4.7175243
Sum2266856.7
Variance4.3585476 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:23.018434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 25
39.7%
870.0 1
 
1.6%
70613.39 1
 
1.6%
890.0 1
 
1.6%
1290.0 1
 
1.6%
250.0 1
 
1.6%
5890.0 1
 
1.6%
2395.0 1
 
1.6%
1137785.0 1
 
1.6%
460.0 1
 
1.6%
Other values (12) 12
19.0%
(Missing) 17
27.0%
ValueCountFrequency (%)
0.0 25
39.7%
250.0 1
 
1.6%
460.0 1
 
1.6%
870.0 1
 
1.6%
890.0 1
 
1.6%
1290.0 1
 
1.6%
1640.0 1
 
1.6%
2060.0 1
 
1.6%
2180.0 1
 
1.6%
2320.0 1
 
1.6%
ValueCountFrequency (%)
1137785.0 1
1.6%
874730.0 1
1.6%
82975.0 1
1.6%
70613.39 1
1.6%
24145.0 1
1.6%
22255.0 1
1.6%
11830.0 1
1.6%
9845.0 1
1.6%
9693.33 1
1.6%
5890.0 1
1.6%

2020-07-05
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)36.4%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean38011.818
Minimum0
Maximum869990
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:23.106212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32430
95-th percentile35242
Maximum869990
Range869990
Interquartile range (IQR)2430

Descriptive statistics

Standard deviation165514.68
Coefficient of variation (CV)4.3542953
Kurtosis20.473683
Mean38011.818
Median Absolute Deviation (MAD)0
Skewness4.6041369
Sum1672520
Variance2.739511 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:23.206666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 29
46.0%
38140 1
 
1.6%
16415 1
 
1.6%
9110 1
 
1.6%
2760 1
 
1.6%
2320 1
 
1.6%
18820 1
 
1.6%
869990 1
 
1.6%
694575 1
 
1.6%
2145 1
 
1.6%
Other values (6) 6
 
9.5%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 29
46.0%
560 1
 
1.6%
1960 1
 
1.6%
2145 1
 
1.6%
2320 1
 
1.6%
2760 1
 
1.6%
2920 1
 
1.6%
3585 1
 
1.6%
3810 1
 
1.6%
5410 1
 
1.6%
ValueCountFrequency (%)
869990 1
1.6%
694575 1
1.6%
38140 1
1.6%
18820 1
1.6%
16415 1
1.6%
9110 1
1.6%
5410 1
1.6%
3810 1
1.6%
3585 1
1.6%
2920 1
1.6%

2020-07-04
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)20.5%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean40790.614
Minimum0
Maximum1426045
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:23.297070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21917.95
Maximum1426045
Range1426045
Interquartile range (IQR)0

Descriptive statistics

Standard deviation218681.69
Coefficient of variation (CV)5.3610787
Kurtosis39.895721
Mean40790.614
Median Absolute Deviation (MAD)0
Skewness6.2312462
Sum1794787
Variance4.7821682 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:23.388736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 36
57.1%
1426045 1
 
1.6%
4260 1
 
1.6%
12545 1
 
1.6%
9465 1
 
1.6%
5800 1
 
1.6%
23572 1
 
1.6%
4780 1
 
1.6%
308320 1
 
1.6%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 36
57.1%
4260 1
 
1.6%
4780 1
 
1.6%
5800 1
 
1.6%
9465 1
 
1.6%
12545 1
 
1.6%
23572 1
 
1.6%
308320 1
 
1.6%
1426045 1
 
1.6%
ValueCountFrequency (%)
1426045 1
 
1.6%
308320 1
 
1.6%
23572 1
 
1.6%
12545 1
 
1.6%
9465 1
 
1.6%
5800 1
 
1.6%
4780 1
 
1.6%
4260 1
 
1.6%
0 36
57.1%

2020-07-03
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)26.7%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean16498.185
Minimum0
Maximum540290
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:23.486180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21080
Maximum540290
Range540290
Interquartile range (IQR)0

Descriptive statistics

Standard deviation83170.015
Coefficient of variation (CV)5.0411615
Kurtosis37.964659
Mean16498.185
Median Absolute Deviation (MAD)0
Skewness6.0433952
Sum742418.33
Variance6.9172514 × 109
MonotonicityNot monotonic
2024-04-18T04:30:23.563500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 34
54.0%
3103.33 1
 
1.6%
4060.0 1
 
1.6%
5390.0 1
 
1.6%
2260.0 1
 
1.6%
540290.0 1
 
1.6%
24945.0 1
 
1.6%
90.0 1
 
1.6%
1070.0 1
 
1.6%
5620.0 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 18
28.6%
ValueCountFrequency (%)
0.0 34
54.0%
90.0 1
 
1.6%
740.0 1
 
1.6%
1070.0 1
 
1.6%
2260.0 1
 
1.6%
3103.33 1
 
1.6%
4060.0 1
 
1.6%
5390.0 1
 
1.6%
5620.0 1
 
1.6%
24945.0 1
 
1.6%
ValueCountFrequency (%)
540290.0 1
1.6%
154850.0 1
1.6%
24945.0 1
1.6%
5620.0 1
1.6%
5390.0 1
1.6%
4060.0 1
1.6%
3103.33 1
1.6%
2260.0 1
1.6%
1070.0 1
1.6%
740.0 1
1.6%

2020-07-02
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)25.0%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean44520.227
Minimum0
Maximum986535
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:23.645632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22582
Maximum986535
Range986535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation201527.16
Coefficient of variation (CV)4.5266427
Kurtosis19.386023
Mean44520.227
Median Absolute Deviation (MAD)0
Skewness4.5245941
Sum1958890
Variance4.0613197 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:23.726484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 34
54.0%
1490 1
 
1.6%
3570 1
 
1.6%
986535 1
 
1.6%
4290 1
 
1.6%
380 1
 
1.6%
25450 1
 
1.6%
2310 1
 
1.6%
6330 1
 
1.6%
927145 1
 
1.6%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 34
54.0%
380 1
 
1.6%
1390 1
 
1.6%
1490 1
 
1.6%
2310 1
 
1.6%
3570 1
 
1.6%
4290 1
 
1.6%
6330 1
 
1.6%
25450 1
 
1.6%
927145 1
 
1.6%
ValueCountFrequency (%)
986535 1
1.6%
927145 1
1.6%
25450 1
1.6%
6330 1
1.6%
4290 1
1.6%
3570 1
1.6%
2310 1
1.6%
1490 1
1.6%
1390 1
1.6%
380 1
1.6%

2020-07-01
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)25.0%
Missing15
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean3836.6817
Minimum0
Maximum132795
Zeros37
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:23.807862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5760.75
Maximum132795
Range132795
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19401.205
Coefficient of variation (CV)5.0567669
Kurtosis44.028841
Mean3836.6817
Median Absolute Deviation (MAD)0
Skewness6.5449805
Sum184160.72
Variance3.7640676 × 108
MonotonicityNot monotonic
2024-04-18T04:30:23.887834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 37
58.7%
132795.0 1
 
1.6%
4130.0 1
 
1.6%
2050.0 1
 
1.6%
4360.0 1
 
1.6%
25655.0 1
 
1.6%
5.72 1
 
1.6%
2870.0 1
 
1.6%
6515.0 1
 
1.6%
1570.0 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 15
23.8%
ValueCountFrequency (%)
0.0 37
58.7%
5.72 1
 
1.6%
940.0 1
 
1.6%
1570.0 1
 
1.6%
2050.0 1
 
1.6%
2870.0 1
 
1.6%
3270.0 1
 
1.6%
4130.0 1
 
1.6%
4360.0 1
 
1.6%
6515.0 1
 
1.6%
ValueCountFrequency (%)
132795.0 1
1.6%
25655.0 1
1.6%
6515.0 1
1.6%
4360.0 1
1.6%
4130.0 1
1.6%
3270.0 1
1.6%
2870.0 1
1.6%
2050.0 1
1.6%
1570.0 1
1.6%
940.0 1
1.6%

2020-06-30
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)19.6%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1317.1522
Minimum0
Maximum26140
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:23.965207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10362.5
Maximum26140
Range26140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4552.9396
Coefficient of variation (CV)3.4566542
Kurtosis20.82504
Mean1317.1522
Median Absolute Deviation (MAD)0
Skewness4.3719802
Sum60589
Variance20729259
MonotonicityNot monotonic
2024-04-18T04:30:24.041365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 38
60.3%
5555 1
 
1.6%
40 1
 
1.6%
26140 1
 
1.6%
11965 1
 
1.6%
1430 1
 
1.6%
12149 1
 
1.6%
1355 1
 
1.6%
1955 1
 
1.6%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 38
60.3%
40 1
 
1.6%
1355 1
 
1.6%
1430 1
 
1.6%
1955 1
 
1.6%
5555 1
 
1.6%
11965 1
 
1.6%
12149 1
 
1.6%
26140 1
 
1.6%
ValueCountFrequency (%)
26140 1
 
1.6%
12149 1
 
1.6%
11965 1
 
1.6%
5555 1
 
1.6%
1955 1
 
1.6%
1430 1
 
1.6%
1355 1
 
1.6%
40 1
 
1.6%
0 38
60.3%

2020-06-29
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)28.6%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean1642.5169
Minimum0
Maximum25735
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:24.119413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3280
95-th percentile11075.998
Maximum25735
Range25735
Interquartile range (IQR)280

Descriptive statistics

Standard deviation5075.1697
Coefficient of variation (CV)3.0898736
Kurtosis14.453858
Mean1642.5169
Median Absolute Deviation (MAD)0
Skewness3.8316237
Sum80483.33
Variance25757348
MonotonicityNot monotonic
2024-04-18T04:30:24.203048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 36
57.1%
20230.0 1
 
1.6%
2620.0 1
 
1.6%
830.0 1
 
1.6%
25735.0 1
 
1.6%
280.0 1
 
1.6%
1150.0 1
 
1.6%
15733.33 1
 
1.6%
4090.0 1
 
1.6%
575.0 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 14
 
22.2%
ValueCountFrequency (%)
0.0 36
57.1%
280.0 1
 
1.6%
575.0 1
 
1.6%
830.0 1
 
1.6%
1150.0 1
 
1.6%
1260.0 1
 
1.6%
2280.0 1
 
1.6%
2390.0 1
 
1.6%
2620.0 1
 
1.6%
3310.0 1
 
1.6%
ValueCountFrequency (%)
25735.0 1
1.6%
20230.0 1
1.6%
15733.33 1
1.6%
4090.0 1
1.6%
3310.0 1
1.6%
2620.0 1
1.6%
2390.0 1
1.6%
2280.0 1
1.6%
1260.0 1
1.6%
1150.0 1
1.6%

2020-06-28
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)40.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean70928.672
Minimum0
Maximum1788180
Zeros30
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:24.284464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36645
95-th percentile227370.36
Maximum1788180
Range1788180
Interquartile range (IQR)6645

Descriptive statistics

Standard deviation298622.21
Coefficient of variation (CV)4.2101762
Kurtosis25.776259
Mean70928.672
Median Absolute Deviation (MAD)0
Skewness5.0114223
Sum3546433.6
Variance8.9175223 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:24.373488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 30
47.6%
3630.0 2
 
3.2%
11640.0 1
 
1.6%
30465.0 1
 
1.6%
74238.58 1
 
1.6%
6670.0 1
 
1.6%
45450.0 1
 
1.6%
1460.0 1
 
1.6%
960.0 1
 
1.6%
1135210.0 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 13
20.6%
ValueCountFrequency (%)
0.0 30
47.6%
10.0 1
 
1.6%
960.0 1
 
1.6%
1460.0 1
 
1.6%
2370.0 1
 
1.6%
3630.0 2
 
3.2%
6570.0 1
 
1.6%
6670.0 1
 
1.6%
7430.0 1
 
1.6%
8465.0 1
 
1.6%
ValueCountFrequency (%)
1788180.0 1
1.6%
1135210.0 1
1.6%
352660.0 1
1.6%
74238.58 1
1.6%
45450.0 1
1.6%
30465.0 1
1.6%
28110.0 1
1.6%
22740.0 1
1.6%
16545.0 1
1.6%
11640.0 1
1.6%

2020-06-27
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)33.3%
Missing12
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean2952.3039
Minimum0
Maximum76130
Zeros35
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:24.460050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3972.5
95-th percentile10807.915
Maximum76130
Range76130
Interquartile range (IQR)972.5

Descriptive statistics

Standard deviation10978.166
Coefficient of variation (CV)3.7185081
Kurtosis41.40452
Mean2952.3039
Median Absolute Deviation (MAD)0
Skewness6.2084671
Sum150567.5
Variance1.2052013 × 108
MonotonicityNot monotonic
2024-04-18T04:30:24.550927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 35
55.6%
4246.67 1
 
1.6%
4200.0 1
 
1.6%
5700.0 1
 
1.6%
885.0 1
 
1.6%
1330.0 1
 
1.6%
14955.83 1
 
1.6%
6295.0 1
 
1.6%
10.0 1
 
1.6%
220.0 1
 
1.6%
Other values (7) 7
 
11.1%
(Missing) 12
 
19.0%
ValueCountFrequency (%)
0.0 35
55.6%
10.0 1
 
1.6%
220.0 1
 
1.6%
885.0 1
 
1.6%
1060.0 1
 
1.6%
1330.0 1
 
1.6%
3820.0 1
 
1.6%
4200.0 1
 
1.6%
4246.67 1
 
1.6%
4530.0 1
 
1.6%
ValueCountFrequency (%)
76130.0 1
1.6%
15235.0 1
1.6%
14955.83 1
1.6%
6660.0 1
1.6%
6295.0 1
1.6%
5700.0 1
1.6%
5290.0 1
1.6%
4530.0 1
1.6%
4246.67 1
1.6%
4200.0 1
1.6%

2020-06-26
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)28.6%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean24318.571
Minimum0
Maximum1016845
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:24.638003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31210
95-th percentile42434
Maximum1016845
Range1016845
Interquartile range (IQR)1210

Descriptive statistics

Standard deviation145258.71
Coefficient of variation (CV)5.9731598
Kurtosis48.263767
Mean24318.571
Median Absolute Deviation (MAD)0
Skewness6.9250829
Sum1191610
Variance2.1100094 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:24.721597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 36
57.1%
2250 1
 
1.6%
32000 1
 
1.6%
1360 1
 
1.6%
1920 1
 
1.6%
5590 1
 
1.6%
1016845 1
 
1.6%
1210 1
 
1.6%
6720 1
 
1.6%
3060 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 14
 
22.2%
ValueCountFrequency (%)
0 36
57.1%
1210 1
 
1.6%
1360 1
 
1.6%
1920 1
 
1.6%
2000 1
 
1.6%
2250 1
 
1.6%
3060 1
 
1.6%
4260 1
 
1.6%
5590 1
 
1.6%
6720 1
 
1.6%
ValueCountFrequency (%)
1016845 1
1.6%
65005 1
1.6%
49390 1
1.6%
32000 1
1.6%
6720 1
1.6%
5590 1
1.6%
4260 1
1.6%
3060 1
1.6%
2250 1
1.6%
2000 1
1.6%

2020-06-25
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)28.8%
Missing11
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean4340.4435
Minimum0
Maximum145855
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:24.800122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile7723.75
Maximum145855
Range145855
Interquartile range (IQR)15

Descriptive statistics

Standard deviation20828.137
Coefficient of variation (CV)4.7986195
Kurtosis44.008296
Mean4340.4435
Median Absolute Deviation (MAD)0
Skewness6.4895893
Sum225703.06
Variance4.3381128 × 108
MonotonicityNot monotonic
2024-04-18T04:30:24.893712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 38
60.3%
1490.0 1
 
1.6%
145855.0 1
 
1.6%
6638.06 1
 
1.6%
7555.0 1
 
1.6%
1640.0 1
 
1.6%
995.0 1
 
1.6%
10.0 1
 
1.6%
30.0 1
 
1.6%
120.0 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 11
 
17.5%
ValueCountFrequency (%)
0.0 38
60.3%
10.0 1
 
1.6%
30.0 1
 
1.6%
120.0 1
 
1.6%
995.0 1
 
1.6%
1490.0 1
 
1.6%
1640.0 1
 
1.6%
2000.0 1
 
1.6%
4915.0 1
 
1.6%
6638.06 1
 
1.6%
ValueCountFrequency (%)
145855.0 1
1.6%
39845.0 1
1.6%
7930.0 1
1.6%
7555.0 1
1.6%
6680.0 1
1.6%
6638.06 1
1.6%
4915.0 1
1.6%
2000.0 1
1.6%
1640.0 1
1.6%
1490.0 1
1.6%

2020-06-24
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)28.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean14206.5
Minimum0
Maximum612800
Zeros37
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:24.977651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q352.5
95-th percentile15126.25
Maximum612800
Range612800
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation86602.455
Coefficient of variation (CV)6.095974
Kurtosis49.459674
Mean14206.5
Median Absolute Deviation (MAD)0
Skewness7.0165295
Sum710325
Variance7.4999853 × 109
MonotonicityNot monotonic
2024-04-18T04:30:25.350621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 37
58.7%
38010 1
 
1.6%
2850 1
 
1.6%
2365 1
 
1.6%
4885 1
 
1.6%
13930 1
 
1.6%
1710 1
 
1.6%
16105 1
 
1.6%
612800 1
 
1.6%
6000 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0 37
58.7%
70 1
 
1.6%
930 1
 
1.6%
1200 1
 
1.6%
1710 1
 
1.6%
2365 1
 
1.6%
2850 1
 
1.6%
4885 1
 
1.6%
6000 1
 
1.6%
9470 1
 
1.6%
ValueCountFrequency (%)
612800 1
1.6%
38010 1
1.6%
16105 1
1.6%
13930 1
1.6%
9470 1
1.6%
6000 1
1.6%
4885 1
1.6%
2850 1
1.6%
2365 1
1.6%
1710 1
1.6%

2020-06-23
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)46.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean34660.607
Minimum0
Maximum1534610
Zeros28
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:25.436314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32225
95-th percentile19300.45
Maximum1534610
Range1534610
Interquartile range (IQR)2225

Descriptive statistics

Standard deviation216879.52
Coefficient of variation (CV)6.2572339
Kurtosis49.583999
Mean34660.607
Median Absolute Deviation (MAD)0
Skewness7.029259
Sum1733030.3
Variance4.7036728 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:25.531774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 28
44.4%
9935.0 1
 
1.6%
2470.0 1
 
1.6%
1490.0 1
 
1.6%
495.0 1
 
1.6%
5495.0 1
 
1.6%
15891.0 1
 
1.6%
1534610.0 1
 
1.6%
230.0 1
 
1.6%
1420.0 1
 
1.6%
Other values (13) 13
20.6%
(Missing) 13
20.6%
ValueCountFrequency (%)
0.0 28
44.4%
160.0 1
 
1.6%
230.0 1
 
1.6%
430.0 1
 
1.6%
495.0 1
 
1.6%
580.0 1
 
1.6%
970.0 1
 
1.6%
1230.0 1
 
1.6%
1420.0 1
 
1.6%
1490.0 1
 
1.6%
ValueCountFrequency (%)
1534610.0 1
1.6%
92671.67 1
1.6%
22090.0 1
1.6%
15891.0 1
1.6%
13415.0 1
1.6%
9935.0 1
1.6%
7795.0 1
1.6%
7252.67 1
1.6%
6790.0 1
1.6%
5495.0 1
1.6%

2020-06-22
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)56.2%
Missing15
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean36799.444
Minimum0
Maximum1603305
Zeros22
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:25.638737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1355
Q34647.5
95-th percentile18107.5
Maximum1603305
Range1603305
Interquartile range (IQR)4647.5

Descriptive statistics

Standard deviation231022.87
Coefficient of variation (CV)6.2778903
Kurtosis47.905713
Mean36799.444
Median Absolute Deviation (MAD)1355
Skewness6.9183283
Sum1766373.3
Variance5.3371569 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:25.736491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 22
34.9%
6580.0 1
 
1.6%
2765.0 1
 
1.6%
2040.0 1
 
1.6%
6795.0 1
 
1.6%
8495.0 1
 
1.6%
1250.0 1
 
1.6%
5225.0 1
 
1.6%
2110.0 1
 
1.6%
5070.0 1
 
1.6%
Other values (17) 17
27.0%
(Missing) 15
23.8%
ValueCountFrequency (%)
0.0 22
34.9%
10.0 1
 
1.6%
1250.0 1
 
1.6%
1460.0 1
 
1.6%
2040.0 1
 
1.6%
2110.0 1
 
1.6%
2135.0 1
 
1.6%
2270.0 1
 
1.6%
2660.0 1
 
1.6%
2765.0 1
 
1.6%
ValueCountFrequency (%)
1603305.0 1
1.6%
42778.33 1
1.6%
21800.0 1
1.6%
11250.0 1
1.6%
8495.0 1
1.6%
6795.0 1
1.6%
6740.0 1
1.6%
6580.0 1
1.6%
6505.0 1
1.6%
5225.0 1
1.6%

2020-06-21
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)34.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean43534.6
Minimum0
Maximum2051625
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:25.836449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33421.25
95-th percentile18949.25
Maximum2051625
Range2051625
Interquartile range (IQR)3421.25

Descriptive statistics

Standard deviation289831.25
Coefficient of variation (CV)6.657492
Kurtosis49.964269
Mean43534.6
Median Absolute Deviation (MAD)0
Skewness7.0673697
Sum2176730
Variance8.4002154 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:25.921257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 34
54.0%
6800 1
 
1.6%
6825 1
 
1.6%
8360 1
 
1.6%
750 1
 
1.6%
7500 1
 
1.6%
9240 1
 
1.6%
3935 1
 
1.6%
1790 1
 
1.6%
22295 1
 
1.6%
Other values (7) 7
 
11.1%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0 34
54.0%
750 1
 
1.6%
1790 1
 
1.6%
1880 1
 
1.6%
3935 1
 
1.6%
4590 1
 
1.6%
5810 1
 
1.6%
6800 1
 
1.6%
6825 1
 
1.6%
6885 1
 
1.6%
ValueCountFrequency (%)
2051625 1
1.6%
23585 1
1.6%
22295 1
1.6%
14860 1
1.6%
9240 1
1.6%
8360 1
1.6%
7500 1
1.6%
6885 1
1.6%
6825 1
1.6%
6800 1
1.6%

2020-06-20
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)36.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean74620.1
Minimum0
Maximum2051410
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:26.003902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32675
95-th percentile16503.75
Maximum2051410
Range2051410
Interquartile range (IQR)2675

Descriptive statistics

Standard deviation363467.79
Coefficient of variation (CV)4.87091
Kurtosis24.045791
Mean74620.1
Median Absolute Deviation (MAD)0
Skewness4.9661793
Sum3731005
Variance1.3210884 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:26.093970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 33
52.4%
4670 1
 
1.6%
5835 1
 
1.6%
6870 1
 
1.6%
6520 1
 
1.6%
10 1
 
1.6%
2120 1
 
1.6%
90 1
 
1.6%
1594545 1
 
1.6%
1540 1
 
1.6%
Other values (8) 8
 
12.7%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0 33
52.4%
10 1
 
1.6%
90 1
 
1.6%
1540 1
 
1.6%
2120 1
 
1.6%
2860 1
 
1.6%
3960 1
 
1.6%
4670 1
 
1.6%
5650 1
 
1.6%
5835 1
 
1.6%
ValueCountFrequency (%)
2051410 1
1.6%
1594545 1
1.6%
22410 1
1.6%
9285 1
1.6%
6870 1
1.6%
6800 1
1.6%
6520 1
1.6%
6430 1
1.6%
5835 1
1.6%
5650 1
1.6%

2020-06-19
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)38.8%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean25940.388
Minimum0
Maximum1162560
Zeros31
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:26.176058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32280
95-th percentile12098
Maximum1162560
Range1162560
Interquartile range (IQR)2280

Descriptive statistics

Standard deviation165815.43
Coefficient of variation (CV)6.3921726
Kurtosis48.926566
Mean25940.388
Median Absolute Deviation (MAD)0
Skewness6.9923411
Sum1271079
Variance2.7494758 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:26.267540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 31
49.2%
1162560 1
 
1.6%
7070 1
 
1.6%
8590 1
 
1.6%
1240 1
 
1.6%
1530 1
 
1.6%
2110 1
 
1.6%
7645 1
 
1.6%
8385 1
 
1.6%
2280 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 14
22.2%
ValueCountFrequency (%)
0 31
49.2%
1240 1
 
1.6%
1510 1
 
1.6%
1530 1
 
1.6%
1540 1
 
1.6%
2110 1
 
1.6%
2280 1
 
1.6%
3100 1
 
1.6%
3370 1
 
1.6%
6520 1
 
1.6%
ValueCountFrequency (%)
1162560 1
1.6%
22250 1
1.6%
13740 1
1.6%
9635 1
1.6%
8590 1
1.6%
8385 1
1.6%
8004 1
1.6%
7645 1
1.6%
7070 1
1.6%
6520 1
1.6%

2020-06-18
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)42.9%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean54667.531
Minimum0
Maximum2477335
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:26.373017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32490
95-th percentile32119.6
Maximum2477335
Range2477335
Interquartile range (IQR)2490

Descriptive statistics

Standard deviation353465.25
Coefficient of variation (CV)6.4657255
Kurtosis48.905883
Mean54667.531
Median Absolute Deviation (MAD)0
Skewness6.9902201
Sum2678709
Variance1.2493768 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:26.463558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 29
46.0%
28159 1
 
1.6%
1120 1
 
1.6%
7150 1
 
1.6%
9660 1
 
1.6%
2490 1
 
1.6%
2235 1
 
1.6%
80 1
 
1.6%
2477335 1
 
1.6%
4330 1
 
1.6%
Other values (11) 11
 
17.5%
(Missing) 14
22.2%
ValueCountFrequency (%)
0 29
46.0%
50 1
 
1.6%
80 1
 
1.6%
100 1
 
1.6%
1040 1
 
1.6%
1120 1
 
1.6%
1810 1
 
1.6%
2235 1
 
1.6%
2490 1
 
1.6%
3720 1
 
1.6%
ValueCountFrequency (%)
2477335 1
1.6%
58255 1
1.6%
34760 1
1.6%
28159 1
1.6%
17880 1
1.6%
16670 1
1.6%
9660 1
1.6%
7150 1
1.6%
6865 1
1.6%
5000 1
1.6%

2020-06-17
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)49.0%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean13234.049
Minimum0
Maximum353250
Zeros25
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:26.548935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34620
95-th percentile58877.084
Maximum353250
Range353250
Interquartile range (IQR)4620

Descriptive statistics

Standard deviation51996.77
Coefficient of variation (CV)3.9290144
Kurtosis40.057142
Mean13234.049
Median Absolute Deviation (MAD)0
Skewness6.1304269
Sum648468.42
Variance2.7036641 × 109
MonotonicityNot monotonic
2024-04-18T04:30:26.636797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 25
39.7%
1350.0 2
 
3.2%
353250.0 1
 
1.6%
44247.71 1
 
1.6%
1810.0 1
 
1.6%
8360.0 1
 
1.6%
1230.0 1
 
1.6%
2230.0 1
 
1.6%
2110.0 1
 
1.6%
1005.0 1
 
1.6%
Other values (14) 14
22.2%
(Missing) 14
22.2%
ValueCountFrequency (%)
0.0 25
39.7%
970.0 1
 
1.6%
1005.0 1
 
1.6%
1230.0 1
 
1.6%
1350.0 2
 
3.2%
1810.0 1
 
1.6%
1860.0 1
 
1.6%
2110.0 1
 
1.6%
2230.0 1
 
1.6%
2320.0 1
 
1.6%
ValueCountFrequency (%)
353250.0 1
1.6%
75870.71 1
1.6%
68630.0 1
1.6%
44247.71 1
1.6%
22615.0 1
1.6%
14310.0 1
1.6%
12260.0 1
1.6%
8360.0 1
1.6%
6760.0 1
1.6%
6280.0 1
1.6%

2020-06-16
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)40.8%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean17235.102
Minimum0
Maximum611310
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:26.724778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36460
95-th percentile20354
Maximum611310
Range611310
Interquartile range (IQR)6460

Descriptive statistics

Standard deviation87785.731
Coefficient of variation (CV)5.0934268
Kurtosis46.334644
Mean17235.102
Median Absolute Deviation (MAD)0
Skewness6.7415643
Sum844520
Variance7.7063346 × 109
MonotonicityNot monotonic
2024-04-18T04:30:26.806518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 29
46.0%
8370 2
 
3.2%
22170 1
 
1.6%
1995 1
 
1.6%
8340 1
 
1.6%
5780 1
 
1.6%
2170 1
 
1.6%
6095 1
 
1.6%
7495 1
 
1.6%
611310 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 14
22.2%
ValueCountFrequency (%)
0 29
46.0%
1610 1
 
1.6%
1995 1
 
1.6%
2170 1
 
1.6%
2370 1
 
1.6%
3080 1
 
1.6%
5780 1
 
1.6%
6095 1
 
1.6%
6460 1
 
1.6%
6885 1
 
1.6%
ValueCountFrequency (%)
611310 1
1.6%
96075 1
1.6%
22170 1
1.6%
17630 1
1.6%
11690 1
1.6%
8430 1
1.6%
8370 2
3.2%
8340 1
1.6%
8195 1
1.6%
7495 1
1.6%

2020-06-15
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)42.9%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean24266.259
Minimum0
Maximum1009768
Zeros28
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:26.895878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32580
95-th percentile20175.002
Maximum1009768
Range1009768
Interquartile range (IQR)2580

Descriptive statistics

Standard deviation144222.7
Coefficient of variation (CV)5.9433432
Kurtosis48.275427
Mean24266.259
Median Absolute Deviation (MAD)0
Skewness6.9271949
Sum1189046.7
Variance2.0800188 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:26.985871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 28
44.4%
2900.0 2
 
3.2%
1009768.0 1
 
1.6%
1020.0 1
 
1.6%
910.0 1
 
1.6%
9295.0 1
 
1.6%
2410.0 1
 
1.6%
2070.0 1
 
1.6%
2190.0 1
 
1.6%
7540.0 1
 
1.6%
Other values (11) 11
 
17.5%
(Missing) 14
22.2%
ValueCountFrequency (%)
0.0 28
44.4%
910.0 1
 
1.6%
1020.0 1
 
1.6%
1220.0 1
 
1.6%
2070.0 1
 
1.6%
2190.0 1
 
1.6%
2280.0 1
 
1.6%
2410.0 1
 
1.6%
2470.0 1
 
1.6%
2580.0 1
 
1.6%
ValueCountFrequency (%)
1009768.0 1
1.6%
80935.0 1
1.6%
22861.67 1
1.6%
16145.0 1
1.6%
9295.0 1
1.6%
7540.0 1
1.6%
6195.0 1
1.6%
5905.0 1
1.6%
4090.0 1
1.6%
3362.0 1
1.6%

2020-06-14
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)40.8%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean3741.2449
Minimum0
Maximum47270
Zeros30
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:27.070734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33140
95-th percentile22826
Maximum47270
Range47270
Interquartile range (IQR)3140

Descriptive statistics

Standard deviation9051.7927
Coefficient of variation (CV)2.4194601
Kurtosis12.223825
Mean3741.2449
Median Absolute Deviation (MAD)0
Skewness3.3573253
Sum183321
Variance81934951
MonotonicityNot monotonic
2024-04-18T04:30:27.158733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 30
47.6%
1450 1
 
1.6%
3370 1
 
1.6%
7365 1
 
1.6%
47270 1
 
1.6%
330 1
 
1.6%
1550 1
 
1.6%
10000 1
 
1.6%
8155 1
 
1.6%
10340 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 14
22.2%
ValueCountFrequency (%)
0 30
47.6%
330 1
 
1.6%
380 1
 
1.6%
420 1
 
1.6%
826 1
 
1.6%
1450 1
 
1.6%
1550 1
 
1.6%
3140 1
 
1.6%
3370 1
 
1.6%
3680 1
 
1.6%
ValueCountFrequency (%)
47270 1
1.6%
30605 1
1.6%
22940 1
1.6%
22655 1
1.6%
10340 1
1.6%
10000 1
1.6%
8155 1
1.6%
7365 1
1.6%
5115 1
1.6%
3730 1
1.6%

2020-06-13
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)50.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean40755.7
Minimum0
Maximum1391660
Zeros25
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:27.244178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q34332.5
95-th percentile17219.75
Maximum1391660
Range1391660
Interquartile range (IQR)4332.5

Descriptive statistics

Standard deviation209241.52
Coefficient of variation (CV)5.134043
Kurtosis37.629164
Mean40755.7
Median Absolute Deviation (MAD)10
Skewness6.0014795
Sum2037785
Variance4.3782012 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:27.334452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 25
39.7%
20 2
 
3.2%
8635 1
 
1.6%
9880 1
 
1.6%
1280 1
 
1.6%
2035 1
 
1.6%
5970 1
 
1.6%
5570 1
 
1.6%
7670 1
 
1.6%
1391660 1
 
1.6%
Other values (15) 15
23.8%
(Missing) 13
20.6%
ValueCountFrequency (%)
0 25
39.7%
20 2
 
3.2%
200 1
 
1.6%
815 1
 
1.6%
1270 1
 
1.6%
1280 1
 
1.6%
1450 1
 
1.6%
1950 1
 
1.6%
2035 1
 
1.6%
2340 1
 
1.6%
ValueCountFrequency (%)
1391660 1
1.6%
539080 1
1.6%
23225 1
1.6%
9880 1
1.6%
8635 1
1.6%
7670 1
1.6%
7365 1
1.6%
6040 1
1.6%
5970 1
1.6%
5955 1
1.6%

2020-06-12
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)44.2%
Missing11
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean41214.174
Minimum0
Maximum1243470
Zeros30
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:27.431220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32362.5
95-th percentile20929.437
Maximum1243470
Range1243470
Interquartile range (IQR)2362.5

Descriptive statistics

Standard deviation202715.5
Coefficient of variation (CV)4.9185871
Kurtosis28.387307
Mean41214.174
Median Absolute Deviation (MAD)0
Skewness5.3068828
Sum2143137.1
Variance4.1093576 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:27.525954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 30
47.6%
6965.0 1
 
1.6%
2085.0 1
 
1.6%
1430.0 1
 
1.6%
890.0 1
 
1.6%
7060.0 1
 
1.6%
30.0 1
 
1.6%
2250.0 1
 
1.6%
900.0 1
 
1.6%
5900.0 1
 
1.6%
Other values (13) 13
20.6%
(Missing) 11
 
17.5%
ValueCountFrequency (%)
0.0 30
47.6%
10.0 1
 
1.6%
30.0 1
 
1.6%
303.32 1
 
1.6%
890.0 1
 
1.6%
900.0 1
 
1.6%
1430.0 1
 
1.6%
1500.0 1
 
1.6%
2085.0 1
 
1.6%
2250.0 1
 
1.6%
ValueCountFrequency (%)
1243470.0 1
1.6%
797890.0 1
1.6%
23348.75 1
1.6%
18950.0 1
1.6%
11260.0 1
1.6%
7060.0 1
1.6%
6965.0 1
1.6%
5900.0 1
1.6%
4680.0 1
1.6%
4340.0 1
1.6%

2020-06-11
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)38.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean78959.907
Minimum0
Maximum2390520
Zeros32
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:27.617393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33001.25
95-th percentile156159.25
Maximum2390520
Range2390520
Interquartile range (IQR)3001.25

Descriptive statistics

Standard deviation373689.99
Coefficient of variation (CV)4.7326549
Kurtosis32.273694
Mean78959.907
Median Absolute Deviation (MAD)0
Skewness5.5573792
Sum3947995.3
Variance1.3964421 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:27.730687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 32
50.8%
150.0 1
 
1.6%
13465.0 1
 
1.6%
7230.0 1
 
1.6%
8710.0 1
 
1.6%
41025.0 1
 
1.6%
3765.0 1
 
1.6%
10.0 1
 
1.6%
2120.0 1
 
1.6%
7665.0 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 13
20.6%
ValueCountFrequency (%)
0.0 32
50.8%
2.0 1
 
1.6%
10.0 1
 
1.6%
150.0 1
 
1.6%
2120.0 1
 
1.6%
2405.0 1
 
1.6%
3200.0 1
 
1.6%
3650.0 1
 
1.6%
3765.0 1
 
1.6%
7230.0 1
 
1.6%
ValueCountFrequency (%)
2390520.0 1
1.6%
1172200.0 1
1.6%
250360.0 1
1.6%
41025.0 1
1.6%
23885.0 1
1.6%
17633.33 1
1.6%
13465.0 1
1.6%
8710.0 1
1.6%
7665.0 1
1.6%
7230.0 1
1.6%

2020-06-10
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)48.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean32597.907
Minimum0
Maximum880295
Zeros27
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:27.830948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33872.5
95-th percentile110067.67
Maximum880295
Range880295
Interquartile range (IQR)3872.5

Descriptive statistics

Standard deviation138642.12
Coefficient of variation (CV)4.2530988
Kurtosis30.687573
Mean32597.907
Median Absolute Deviation (MAD)0
Skewness5.3849108
Sum1629895.3
Variance1.9221637 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:27.940551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 27
42.9%
3915.0 1
 
1.6%
33405.0 1
 
1.6%
3260.0 1
 
1.6%
3670.0 1
 
1.6%
9620.0 1
 
1.6%
760.0 1
 
1.6%
60.0 1
 
1.6%
180.0 1
 
1.6%
3420.0 1
 
1.6%
Other values (14) 14
22.2%
(Missing) 13
20.6%
ValueCountFrequency (%)
0.0 27
42.9%
60.0 1
 
1.6%
180.0 1
 
1.6%
760.0 1
 
1.6%
1830.0 1
 
1.6%
2388.68 1
 
1.6%
3260.0 1
 
1.6%
3420.0 1
 
1.6%
3570.0 1
 
1.6%
3670.0 1
 
1.6%
ValueCountFrequency (%)
880295.0 1
1.6%
433590.0 1
1.6%
172791.67 1
1.6%
33405.0 1
1.6%
16480.0 1
1.6%
16265.0 1
1.6%
12575.0 1
1.6%
10990.0 1
1.6%
9620.0 1
1.6%
7645.0 1
1.6%

2020-06-09
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)49.0%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean21888.109
Minimum0
Maximum491780
Zeros26
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:28.027283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39800
95-th percentile85248
Maximum491780
Range491780
Interquartile range (IQR)9800

Descriptive statistics

Standard deviation74830.303
Coefficient of variation (CV)3.4187651
Kurtosis33.8955
Mean21888.109
Median Absolute Deviation (MAD)0
Skewness5.5560167
Sum1072517.3
Variance5.5995743 × 109
MonotonicityNot monotonic
2024-04-18T04:30:28.114295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 26
41.3%
82980.0 1
 
1.6%
66520.0 1
 
1.6%
13055.0 1
 
1.6%
3350.0 1
 
1.6%
4330.0 1
 
1.6%
2890.0 1
 
1.6%
17880.0 1
 
1.6%
5750.0 1
 
1.6%
3985.0 1
 
1.6%
Other values (14) 14
22.2%
(Missing) 14
22.2%
ValueCountFrequency (%)
0.0 26
41.3%
30.0 1
 
1.6%
560.0 1
 
1.6%
2060.0 1
 
1.6%
2890.0 1
 
1.6%
3350.0 1
 
1.6%
3985.0 1
 
1.6%
4330.0 1
 
1.6%
5194.0 1
 
1.6%
5580.0 1
 
1.6%
ValueCountFrequency (%)
491780.0 1
1.6%
169045.0 1
1.6%
86760.0 1
1.6%
82980.0 1
1.6%
66520.0 1
1.6%
27893.33 1
1.6%
27720.0 1
1.6%
17880.0 1
1.6%
17700.0 1
1.6%
16570.0 1
1.6%

2020-06-08
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)42.9%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean7056.0769
Minimum0
Maximum93555
Zeros28
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:28.201148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33830
95-th percentile27185
Maximum93555
Range93555
Interquartile range (IQR)3830

Descriptive statistics

Standard deviation18762.499
Coefficient of variation (CV)2.6590553
Kurtosis15.671548
Mean7056.0769
Median Absolute Deviation (MAD)0
Skewness3.8970805
Sum345747.77
Variance3.5203137 × 108
MonotonicityNot monotonic
2024-04-18T04:30:28.283515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 28
44.4%
4380.0 2
 
3.2%
24770.0 1
 
1.6%
1280.0 1
 
1.6%
14465.0 1
 
1.6%
87835.0 1
 
1.6%
1030.0 1
 
1.6%
2980.0 1
 
1.6%
18415.0 1
 
1.6%
40.0 1
 
1.6%
Other values (11) 11
 
17.5%
(Missing) 14
22.2%
ValueCountFrequency (%)
0.0 28
44.4%
40.0 1
 
1.6%
1030.0 1
 
1.6%
1280.0 1
 
1.6%
1645.0 1
 
1.6%
2130.0 1
 
1.6%
2980.0 1
 
1.6%
3070.0 1
 
1.6%
3310.0 1
 
1.6%
3830.0 1
 
1.6%
ValueCountFrequency (%)
93555.0 1
1.6%
87835.0 1
1.6%
28795.0 1
1.6%
24770.0 1
1.6%
23130.0 1
1.6%
18415.0 1
1.6%
14465.0 1
1.6%
10861.11 1
1.6%
9896.66 1
1.6%
5950.0 1
1.6%

2020-06-07
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)41.7%
Missing15
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean5880
Minimum0
Maximum100310
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:28.368210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35320
95-th percentile24223.5
Maximum100310
Range100310
Interquartile range (IQR)5320

Descriptive statistics

Standard deviation16057.176
Coefficient of variation (CV)2.7308123
Kurtosis26.463514
Mean5880
Median Absolute Deviation (MAD)0
Skewness4.8137031
Sum282240
Variance2.5783291 × 108
MonotonicityNot monotonic
2024-04-18T04:30:28.459343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 29
46.0%
10 1
 
1.6%
20005 1
 
1.6%
9510 1
 
1.6%
2170 1
 
1.6%
550 1
 
1.6%
7610 1
 
1.6%
5075 1
 
1.6%
5440 1
 
1.6%
8230 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 15
23.8%
ValueCountFrequency (%)
0 29
46.0%
10 1
 
1.6%
550 1
 
1.6%
2170 1
 
1.6%
4370 1
 
1.6%
4820 1
 
1.6%
5075 1
 
1.6%
5280 1
 
1.6%
5440 1
 
1.6%
6450 1
 
1.6%
ValueCountFrequency (%)
100310 1
1.6%
42450 1
1.6%
26495 1
1.6%
20005 1
1.6%
16845 1
1.6%
9510 1
1.6%
9120 1
1.6%
8230 1
1.6%
7610 1
1.6%
7500 1
1.6%

2020-06-06
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)43.2%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean4317.9545
Minimum0
Maximum31075
Zeros26
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:28.539684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35875
95-th percentile19754
Maximum31075
Range31075
Interquartile range (IQR)5875

Descriptive statistics

Standard deviation7622.0142
Coefficient of variation (CV)1.7651909
Kurtosis3.0049761
Mean4317.9545
Median Absolute Deviation (MAD)0
Skewness1.9084709
Sum189990
Variance58095100
MonotonicityNot monotonic
2024-04-18T04:30:28.620328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 26
41.3%
18360 1
 
1.6%
3090 1
 
1.6%
10410 1
 
1.6%
21040 1
 
1.6%
19910 1
 
1.6%
2390 1
 
1.6%
3000 1
 
1.6%
7885 1
 
1.6%
5205 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 26
41.3%
50 1
 
1.6%
650 1
 
1.6%
2280 1
 
1.6%
2390 1
 
1.6%
3000 1
 
1.6%
3090 1
 
1.6%
5205 1
 
1.6%
7885 1
 
1.6%
7905 1
 
1.6%
ValueCountFrequency (%)
31075 1
1.6%
21040 1
1.6%
19910 1
1.6%
18870 1
1.6%
18360 1
1.6%
18330 1
1.6%
11120 1
1.6%
10410 1
1.6%
8420 1
1.6%
7905 1
1.6%

2020-06-05
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)51.2%
Missing20
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean46719.302
Minimum0
Maximum1713060
Zeros22
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:28.707154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310100
95-th percentile47160.5
Maximum1713060
Range1713060
Interquartile range (IQR)10100

Descriptive statistics

Standard deviation260531.46
Coefficient of variation (CV)5.5765272
Kurtosis42.740661
Mean46719.302
Median Absolute Deviation (MAD)0
Skewness6.5289014
Sum2008930
Variance6.7876642 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:28.811619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 22
34.9%
9080.0 1
 
1.6%
20210.0 1
 
1.6%
10350.0 1
 
1.6%
18630.0 1
 
1.6%
68445.0 1
 
1.6%
70.0 1
 
1.6%
2660.0 1
 
1.6%
3180.0 1
 
1.6%
10160.0 1
 
1.6%
Other values (12) 12
19.0%
(Missing) 20
31.7%
ValueCountFrequency (%)
0.0 22
34.9%
70.0 1
 
1.6%
590.0 1
 
1.6%
1270.0 1
 
1.6%
1380.0 1
 
1.6%
2660.0 1
 
1.6%
3180.0 1
 
1.6%
3795.0 1
 
1.6%
8540.0 1
 
1.6%
9080.0 1
 
1.6%
ValueCountFrequency (%)
1713060.0 1
1.6%
68445.0 1
1.6%
48970.0 1
1.6%
30875.0 1
1.6%
21339.99 1
1.6%
20210.0 1
1.6%
18630.0 1
1.6%
14845.0 1
1.6%
11440.0 1
1.6%
10350.0 1
1.6%

2020-06-04
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)43.2%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean5593.483
Minimum0
Maximum69837
Zeros26
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:28.910160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34722.5
95-th percentile28340.25
Maximum69837
Range69837
Interquartile range (IQR)4722.5

Descriptive statistics

Standard deviation12785.825
Coefficient of variation (CV)2.2858431
Kurtosis15.296809
Mean5593.483
Median Absolute Deviation (MAD)0
Skewness3.6288312
Sum246113.25
Variance1.6347731 × 108
MonotonicityNot monotonic
2024-04-18T04:30:28.995665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 26
41.3%
3060.0 1
 
1.6%
37560.0 1
 
1.6%
10410.0 1
 
1.6%
18000.0 1
 
1.6%
3930.0 1
 
1.6%
40.0 1
 
1.6%
2940.0 1
 
1.6%
10790.0 1
 
1.6%
15666.25 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 19
30.2%
ValueCountFrequency (%)
0.0 26
41.3%
40.0 1
 
1.6%
1190.0 1
 
1.6%
1580.0 1
 
1.6%
2940.0 1
 
1.6%
3060.0 1
 
1.6%
3930.0 1
 
1.6%
4390.0 1
 
1.6%
5720.0 1
 
1.6%
8005.0 1
 
1.6%
ValueCountFrequency (%)
69837.0 1
1.6%
37560.0 1
1.6%
30165.0 1
1.6%
18000.0 1
1.6%
15666.25 1
1.6%
11450.0 1
1.6%
11380.0 1
1.6%
10790.0 1
1.6%
10410.0 1
1.6%
8005.0 1
1.6%

2020-06-03
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)33.3%
Missing21
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2590.2779
Minimum0
Maximum34916.67
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:29.080339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31801.25
95-th percentile14613.75
Maximum34916.67
Range34916.67
Interquartile range (IQR)1801.25

Descriptive statistics

Standard deviation7235.9357
Coefficient of variation (CV)2.7934979
Kurtosis13.700396
Mean2590.2779
Median Absolute Deviation (MAD)0
Skewness3.7047741
Sum108791.67
Variance52358765
MonotonicityNot monotonic
2024-04-18T04:30:29.161912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 29
46.0%
3460.0 1
 
1.6%
2320.0 1
 
1.6%
34916.67 1
 
1.6%
5050.0 1
 
1.6%
2790.0 1
 
1.6%
1745.0 1
 
1.6%
29525.0 1
 
1.6%
480.0 1
 
1.6%
15055.0 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 21
33.3%
ValueCountFrequency (%)
0.0 29
46.0%
480.0 1
 
1.6%
1745.0 1
 
1.6%
1820.0 1
 
1.6%
2290.0 1
 
1.6%
2320.0 1
 
1.6%
2790.0 1
 
1.6%
3110.0 1
 
1.6%
3460.0 1
 
1.6%
5050.0 1
 
1.6%
ValueCountFrequency (%)
34916.67 1
1.6%
29525.0 1
1.6%
15055.0 1
1.6%
6230.0 1
1.6%
5050.0 1
1.6%
3460.0 1
1.6%
3110.0 1
1.6%
2790.0 1
1.6%
2320.0 1
1.6%
2290.0 1
1.6%

2020-06-02
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)34.1%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean4650.2098
Minimum0
Maximum59758.75
Zeros30
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:29.250213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31242.5
95-th percentile26146.5
Maximum59758.75
Range59758.75
Interquartile range (IQR)1242.5

Descriptive statistics

Standard deviation11484.368
Coefficient of variation (CV)2.4696451
Kurtosis12.959431
Mean4650.2098
Median Absolute Deviation (MAD)0
Skewness3.4000792
Sum204609.23
Variance1.318907 × 108
MonotonicityNot monotonic
2024-04-18T04:30:29.332089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 30
47.6%
662.48 1
 
1.6%
13080.0 1
 
1.6%
35955.0 1
 
1.6%
4980.0 1
 
1.6%
9530.0 1
 
1.6%
27510.0 1
 
1.6%
20.0 1
 
1.6%
59758.75 1
 
1.6%
670.0 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 19
30.2%
ValueCountFrequency (%)
0.0 30
47.6%
20.0 1
 
1.6%
662.48 1
 
1.6%
670.0 1
 
1.6%
2960.0 1
 
1.6%
4980.0 1
 
1.6%
5598.0 1
 
1.6%
9530.0 1
 
1.6%
10400.0 1
 
1.6%
13080.0 1
 
1.6%
ValueCountFrequency (%)
59758.75 1
1.6%
35955.0 1
1.6%
27510.0 1
1.6%
18420.0 1
1.6%
15065.0 1
1.6%
13080.0 1
1.6%
10400.0 1
1.6%
9530.0 1
1.6%
5598.0 1
1.6%
4980.0 1
1.6%

2020-06-01
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)45.2%
Missing21
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean8012.7348
Minimum0
Maximum142183.34
Zeros24
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:29.410655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35085
95-th percentile28550.25
Maximum142183.34
Range142183.34
Interquartile range (IQR)5085

Descriptive statistics

Standard deviation23949.556
Coefficient of variation (CV)2.9889365
Kurtosis25.34199
Mean8012.7348
Median Absolute Deviation (MAD)0
Skewness4.7960589
Sum336534.86
Variance5.7358122 × 108
MonotonicityNot monotonic
2024-04-18T04:30:29.504425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 24
38.1%
10440.0 1
 
1.6%
24280.0 1
 
1.6%
62010.0 1
 
1.6%
3280.0 1
 
1.6%
10550.0 1
 
1.6%
150.0 1
 
1.6%
5620.0 1
 
1.6%
660.0 1
 
1.6%
4186.52 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 21
33.3%
ValueCountFrequency (%)
0.0 24
38.1%
150.0 1
 
1.6%
630.0 1
 
1.6%
660.0 1
 
1.6%
2080.0 1
 
1.6%
3280.0 1
 
1.6%
4186.52 1
 
1.6%
4260.0 1
 
1.6%
5360.0 1
 
1.6%
5620.0 1
 
1.6%
ValueCountFrequency (%)
142183.34 1
1.6%
62010.0 1
1.6%
28775.0 1
1.6%
24280.0 1
1.6%
16710.0 1
1.6%
10550.0 1
1.6%
10440.0 1
1.6%
9280.0 1
1.6%
6080.0 1
1.6%
5620.0 1
1.6%

2020-05-31
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)34.1%
Missing22
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean32244.146
Minimum0
Maximum1174720
Zeros28
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:29.593016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33505
95-th percentile21375
Maximum1174720
Range1174720
Interquartile range (IQR)3505

Descriptive statistics

Standard deviation183179.56
Coefficient of variation (CV)5.6810174
Kurtosis40.716738
Mean32244.146
Median Absolute Deviation (MAD)0
Skewness6.3716218
Sum1322010
Variance3.355475 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:29.683317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 28
44.4%
3505 1
 
1.6%
1174720 1
 
1.6%
10715 1
 
1.6%
11060 1
 
1.6%
6430 1
 
1.6%
210 1
 
1.6%
2120 1
 
1.6%
4920 1
 
1.6%
6320 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 22
34.9%
ValueCountFrequency (%)
0 28
44.4%
210 1
 
1.6%
2120 1
 
1.6%
3505 1
 
1.6%
4920 1
 
1.6%
6320 1
 
1.6%
6430 1
 
1.6%
8310 1
 
1.6%
10190 1
 
1.6%
10715 1
 
1.6%
ValueCountFrequency (%)
1174720 1
1.6%
62135 1
1.6%
21375 1
1.6%
11060 1
1.6%
10715 1
1.6%
10190 1
1.6%
8310 1
1.6%
6430 1
1.6%
6320 1
1.6%
4920 1
1.6%

2020-05-30
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)46.3%
Missing22
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean41998.715
Minimum0
Maximum1506050
Zeros22
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:29.775248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35020
95-th percentile17610
Maximum1506050
Range1506050
Interquartile range (IQR)5020

Descriptive statistics

Standard deviation234842.39
Coefficient of variation (CV)5.5916566
Kurtosis40.639855
Mean41998.715
Median Absolute Deviation (MAD)0
Skewness6.3633394
Sum1721947.3
Variance5.515095 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:29.862814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 22
34.9%
5020.0 2
 
3.2%
7470.0 1
 
1.6%
93520.34 1
 
1.6%
10486.0 1
 
1.6%
17610.0 1
 
1.6%
2760.0 1
 
1.6%
2060.0 1
 
1.6%
2990.0 1
 
1.6%
10570.0 1
 
1.6%
Other values (9) 9
14.3%
(Missing) 22
34.9%
ValueCountFrequency (%)
0.0 22
34.9%
30.0 1
 
1.6%
42.0 1
 
1.6%
1180.0 1
 
1.6%
2060.0 1
 
1.6%
2760.0 1
 
1.6%
2990.0 1
 
1.6%
4378.99 1
 
1.6%
5020.0 2
 
3.2%
7330.0 1
 
1.6%
ValueCountFrequency (%)
1506050.0 1
1.6%
93520.34 1
1.6%
17610.0 1
1.6%
16520.0 1
1.6%
15170.0 1
1.6%
13740.0 1
1.6%
10570.0 1
1.6%
10486.0 1
1.6%
7470.0 1
1.6%
7330.0 1
1.6%

2020-05-29
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)45.5%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean9013.25
Minimum0
Maximum188050
Zeros25
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:29.956228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34635
95-th percentile39955
Maximum188050
Range188050
Interquartile range (IQR)4635

Descriptive statistics

Standard deviation29396.351
Coefficient of variation (CV)3.2614597
Kurtosis33.692556
Mean9013.25
Median Absolute Deviation (MAD)0
Skewness5.5722413
Sum396583
Variance8.6414548 × 108
MonotonicityNot monotonic
2024-04-18T04:30:30.045685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 25
39.7%
13910 1
 
1.6%
13275 1
 
1.6%
10338 1
 
1.6%
18790 1
 
1.6%
4600 1
 
1.6%
10 1
 
1.6%
3090 1
 
1.6%
3450 1
 
1.6%
8190 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 25
39.7%
10 1
 
1.6%
2160 1
 
1.6%
2840 1
 
1.6%
3060 1
 
1.6%
3090 1
 
1.6%
3450 1
 
1.6%
4060 1
 
1.6%
4600 1
 
1.6%
4740 1
 
1.6%
ValueCountFrequency (%)
188050 1
1.6%
45370 1
1.6%
43690 1
1.6%
18790 1
1.6%
17890 1
1.6%
13910 1
1.6%
13275 1
1.6%
10338 1
1.6%
9070 1
1.6%
8190 1
1.6%

2020-05-28
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)47.7%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean3070.8409
Minimum0
Maximum21915
Zeros24
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:30.142279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33667.5
95-th percentile16759.5
Maximum21915
Range21915
Interquartile range (IQR)3667.5

Descriptive statistics

Standard deviation5662.1788
Coefficient of variation (CV)1.8438529
Kurtosis4.3939911
Mean3070.8409
Median Absolute Deviation (MAD)0
Skewness2.2155717
Sum135117
Variance32060269
MonotonicityNot monotonic
2024-04-18T04:30:30.230874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 24
38.1%
10480 1
 
1.6%
21915 1
 
1.6%
1830 1
 
1.6%
2100 1
 
1.6%
3040 1
 
1.6%
180 1
 
1.6%
9830 1
 
1.6%
4230 1
 
1.6%
10750 1
 
1.6%
Other values (11) 11
17.5%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 24
38.1%
42 1
 
1.6%
50 1
 
1.6%
180 1
 
1.6%
670 1
 
1.6%
1830 1
 
1.6%
2100 1
 
1.6%
3040 1
 
1.6%
3150 1
 
1.6%
3490 1
 
1.6%
ValueCountFrequency (%)
21915 1
1.6%
21110 1
1.6%
17820 1
1.6%
10750 1
1.6%
10480 1
1.6%
10060 1
1.6%
9830 1
1.6%
5110 1
1.6%
5060 1
1.6%
4230 1
1.6%

2020-05-27
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)44.4%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean3599.8667
Minimum0
Maximum24050
Zeros26
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:30.321859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35870
95-th percentile16710
Maximum24050
Range24050
Interquartile range (IQR)5870

Descriptive statistics

Standard deviation5958.6328
Coefficient of variation (CV)1.6552371
Kurtosis4.2153667
Mean3599.8667
Median Absolute Deviation (MAD)0
Skewness2.0696701
Sum161994
Variance35505305
MonotonicityNot monotonic
2024-04-18T04:30:30.419619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 26
41.3%
3470 1
 
1.6%
6925 1
 
1.6%
10434 1
 
1.6%
24050 1
 
1.6%
4665 1
 
1.6%
5320 1
 
1.6%
7185 1
 
1.6%
8590 1
 
1.6%
2480 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 26
41.3%
685 1
 
1.6%
1570 1
 
1.6%
2480 1
 
1.6%
3470 1
 
1.6%
4665 1
 
1.6%
5320 1
 
1.6%
5470 1
 
1.6%
5870 1
 
1.6%
6450 1
 
1.6%
ValueCountFrequency (%)
24050 1
1.6%
22555 1
1.6%
17955 1
1.6%
11730 1
1.6%
10434 1
1.6%
9090 1
1.6%
8590 1
1.6%
7500 1
1.6%
7185 1
1.6%
6925 1
1.6%

2020-05-26
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)33.3%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2943.5111
Minimum0
Maximum26810
Zeros31
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:30.504142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31680
95-th percentile20156
Maximum26810
Range26810
Interquartile range (IQR)1680

Descriptive statistics

Standard deviation6763.5028
Coefficient of variation (CV)2.297767
Kurtosis5.4692052
Mean2943.5111
Median Absolute Deviation (MAD)0
Skewness2.52458
Sum132458
Variance45744970
MonotonicityNot monotonic
2024-04-18T04:30:30.586447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 31
49.2%
24395 1
 
1.6%
6320 1
 
1.6%
26810 1
 
1.6%
13470 1
 
1.6%
1680 1
 
1.6%
16880 1
 
1.6%
640 1
 
1.6%
3315 1
 
1.6%
2090 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 31
49.2%
170 1
 
1.6%
640 1
 
1.6%
1680 1
 
1.6%
2090 1
 
1.6%
2170 1
 
1.6%
3065 1
 
1.6%
3315 1
 
1.6%
6320 1
 
1.6%
10478 1
 
1.6%
ValueCountFrequency (%)
26810 1
1.6%
24395 1
1.6%
20975 1
1.6%
16880 1
1.6%
13470 1
1.6%
10478 1
1.6%
6320 1
1.6%
3315 1
1.6%
3065 1
1.6%
2170 1
1.6%

2020-05-25
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)28.3%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean4288.6593
Minimum0
Maximum71420
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:30.661166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3487.5
95-th percentile23386.248
Maximum71420
Range71420
Interquartile range (IQR)487.5

Descriptive statistics

Standard deviation12084.733
Coefficient of variation (CV)2.8178347
Kurtosis21.519454
Mean4288.6593
Median Absolute Deviation (MAD)0
Skewness4.2740731
Sum197278.33
Variance1.4604077 × 108
MonotonicityNot monotonic
2024-04-18T04:30:30.745095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 34
54.0%
21820.0 1
 
1.6%
71420.0 1
 
1.6%
23908.33 1
 
1.6%
5910.0 1
 
1.6%
16740.0 1
 
1.6%
650.0 1
 
1.6%
2250.0 1
 
1.6%
3150.0 1
 
1.6%
24090.0 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 17
27.0%
ValueCountFrequency (%)
0.0 34
54.0%
650.0 1
 
1.6%
2250.0 1
 
1.6%
3080.0 1
 
1.6%
3150.0 1
 
1.6%
5910.0 1
 
1.6%
6900.0 1
 
1.6%
16740.0 1
 
1.6%
17360.0 1
 
1.6%
21820.0 1
 
1.6%
ValueCountFrequency (%)
71420.0 1
1.6%
24090.0 1
1.6%
23908.33 1
1.6%
21820.0 1
1.6%
17360.0 1
1.6%
16740.0 1
1.6%
6900.0 1
1.6%
5910.0 1
1.6%
3150.0 1
1.6%
3080.0 1
1.6%

2020-05-24
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)26.1%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean3086.3913
Minimum0
Maximum44140
Zeros35
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:30.826492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17091.25
Maximum44140
Range44140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8218.8273
Coefficient of variation (CV)2.6629246
Kurtosis14.575513
Mean3086.3913
Median Absolute Deviation (MAD)0
Skewness3.6040299
Sum141974
Variance67549123
MonotonicityNot monotonic
2024-04-18T04:30:31.268550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 35
55.6%
14 1
 
1.6%
4050 1
 
1.6%
25910 1
 
1.6%
44140 1
 
1.6%
8330 1
 
1.6%
17120 1
 
1.6%
4960 1
 
1.6%
3900 1
 
1.6%
5675 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 35
55.6%
14 1
 
1.6%
3900 1
 
1.6%
4050 1
 
1.6%
4960 1
 
1.6%
5675 1
 
1.6%
8330 1
 
1.6%
10870 1
 
1.6%
17005 1
 
1.6%
17120 1
 
1.6%
ValueCountFrequency (%)
44140 1
1.6%
25910 1
1.6%
17120 1
1.6%
17005 1
1.6%
10870 1
1.6%
8330 1
1.6%
5675 1
1.6%
4960 1
1.6%
4050 1
1.6%
3900 1
1.6%

2020-05-23
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)41.3%
Missing17
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean34223
Minimum0
Maximum1266160
Zeros27
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:31.356368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34420
95-th percentile27413.75
Maximum1266160
Range1266160
Interquartile range (IQR)4420

Descriptive statistics

Standard deviation187177.72
Coefficient of variation (CV)5.4693546
Kurtosis44.444453
Mean34223
Median Absolute Deviation (MAD)0
Skewness6.6250961
Sum1574258
Variance3.50355 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:31.455705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 27
42.9%
8160 2
 
3.2%
10 1
 
1.6%
17730 1
 
1.6%
2610 1
 
1.6%
3010 1
 
1.6%
4520 1
 
1.6%
11045 1
 
1.6%
11840 1
 
1.6%
6750 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 17
27.0%
ValueCountFrequency (%)
0 27
42.9%
10 1
 
1.6%
28 1
 
1.6%
360 1
 
1.6%
690 1
 
1.6%
2610 1
 
1.6%
3010 1
 
1.6%
4120 1
 
1.6%
4520 1
 
1.6%
6750 1
 
1.6%
ValueCountFrequency (%)
1266160 1
1.6%
157200 1
1.6%
27465 1
1.6%
27260 1
1.6%
17730 1
1.6%
17140 1
1.6%
11840 1
1.6%
11045 1
1.6%
8160 2
3.2%
6750 1
1.6%

2020-05-22
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)28.9%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean37793.608
Minimum0
Maximum1438175
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:31.568134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32414
95-th percentile75046.672
Maximum1438175
Range1438175
Interquartile range (IQR)2414

Descriptive statistics

Standard deviation214446.15
Coefficient of variation (CV)5.6741381
Kurtosis44.156262
Mean37793.608
Median Absolute Deviation (MAD)0
Skewness6.6193769
Sum1700712.3
Variance4.598715 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:31.653006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 33
52.4%
2414.0 1
 
1.6%
1438175.0 1
 
1.6%
89353.34 1
 
1.6%
4510.0 1
 
1.6%
16855.0 1
 
1.6%
8150.0 1
 
1.6%
5880.0 1
 
1.6%
7630.0 1
 
1.6%
3390.0 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 18
28.6%
ValueCountFrequency (%)
0.0 33
52.4%
2414.0 1
 
1.6%
3390.0 1
 
1.6%
3740.0 1
 
1.6%
4510.0 1
 
1.6%
5880.0 1
 
1.6%
7630.0 1
 
1.6%
8150.0 1
 
1.6%
16855.0 1
 
1.6%
17820.0 1
 
1.6%
ValueCountFrequency (%)
1438175.0 1
1.6%
102795.0 1
1.6%
89353.34 1
1.6%
17820.0 1
1.6%
16855.0 1
1.6%
8150.0 1
1.6%
7630.0 1
1.6%
5880.0 1
1.6%
4510.0 1
1.6%
3740.0 1
1.6%

2020-05-21
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)44.4%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean33523.938
Minimum0
Maximum1235273.3
Zeros26
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:31.745047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34150
95-th percentile39426.288
Maximum1235273.3
Range1235273.3
Interquartile range (IQR)4150

Descriptive statistics

Standard deviation184010.9
Coefficient of variation (CV)5.4889405
Kurtosis44.174983
Mean33523.938
Median Absolute Deviation (MAD)0
Skewness6.6215073
Sum1508577.2
Variance3.3860011 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:31.839936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 26
41.3%
30420.0 1
 
1.6%
41677.86 1
 
1.6%
17500.0 1
 
1.6%
2520.0 1
 
1.6%
40.0 1
 
1.6%
10670.0 1
 
1.6%
7510.0 1
 
1.6%
5005.0 1
 
1.6%
8580.0 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 18
28.6%
ValueCountFrequency (%)
0.0 26
41.3%
16.0 1
 
1.6%
40.0 1
 
1.6%
280.0 1
 
1.6%
810.0 1
 
1.6%
2520.0 1
 
1.6%
2750.0 1
 
1.6%
3570.0 1
 
1.6%
4150.0 1
 
1.6%
5005.0 1
 
1.6%
ValueCountFrequency (%)
1235273.33 1
1.6%
103095.0 1
1.6%
41677.86 1
1.6%
30420.0 1
1.6%
17880.0 1
1.6%
17500.0 1
1.6%
16830.0 1
1.6%
10670.0 1
1.6%
8580.0 1
1.6%
7510.0 1
1.6%

2020-05-20
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)40.0%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean43237.489
Minimum0
Maximum1707500
Zeros27
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:31.929023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34590
95-th percentile27172
Maximum1707500
Range1707500
Interquartile range (IQR)4590

Descriptive statistics

Standard deviation254180.92
Coefficient of variation (CV)5.8787161
Kurtosis44.660601
Mean43237.489
Median Absolute Deviation (MAD)0
Skewness6.6721258
Sum1945687
Variance6.460794 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:32.048784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 27
42.9%
4590 2
 
3.2%
9830 1
 
1.6%
18900 1
 
1.6%
16360 1
 
1.6%
20 1
 
1.6%
2950 1
 
1.6%
10355 1
 
1.6%
29240 1
 
1.6%
42 1
 
1.6%
Other values (8) 8
 
12.7%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 27
42.9%
20 1
 
1.6%
42 1
 
1.6%
280 1
 
1.6%
660 1
 
1.6%
1440 1
 
1.6%
2950 1
 
1.6%
4590 2
 
3.2%
9830 1
 
1.6%
10355 1
 
1.6%
ValueCountFrequency (%)
1707500 1
1.6%
94400 1
1.6%
29240 1
1.6%
18900 1
1.6%
16915 1
1.6%
16360 1
1.6%
15195 1
1.6%
12420 1
1.6%
10355 1
1.6%
9830 1
1.6%

2020-05-19
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)34.1%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean3822.1591
Minimum0
Maximum95730
Zeros30
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:32.150639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3455
95-th percentile16694.25
Maximum95730
Range95730
Interquartile range (IQR)455

Descriptive statistics

Standard deviation14824.451
Coefficient of variation (CV)3.8785542
Kurtosis36.34913
Mean3822.1591
Median Absolute Deviation (MAD)0
Skewness5.8466759
Sum168175
Variance2.1976435 × 108
MonotonicityNot monotonic
2024-04-18T04:30:32.264577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 30
47.6%
280 1
 
1.6%
95730 1
 
1.6%
200 1
 
1.6%
7380 1
 
1.6%
1940 1
 
1.6%
9890 1
 
1.6%
3130 1
 
1.6%
20040 1
 
1.6%
230 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 30
47.6%
200 1
 
1.6%
230 1
 
1.6%
280 1
 
1.6%
980 1
 
1.6%
1940 1
 
1.6%
2380 1
 
1.6%
3130 1
 
1.6%
3290 1
 
1.6%
4810 1
 
1.6%
ValueCountFrequency (%)
95730 1
1.6%
20040 1
1.6%
17895 1
1.6%
9890 1
1.6%
7380 1
1.6%
4810 1
1.6%
3290 1
1.6%
3130 1
1.6%
2380 1
1.6%
1940 1
1.6%

2020-05-18
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)27.3%
Missing19
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean2302.2273
Minimum0
Maximum35658
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:32.348373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile12562.25
Maximum35658
Range35658
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation6430.843
Coefficient of variation (CV)2.7933137
Kurtosis17.392851
Mean2302.2273
Median Absolute Deviation (MAD)0
Skewness3.904173
Sum101298
Variance41355742
MonotonicityNot monotonic
2024-04-18T04:30:32.464578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 33
52.4%
35658 1
 
1.6%
10 1
 
1.6%
12905 1
 
1.6%
1820 1
 
1.6%
6420 1
 
1.6%
8350 1
 
1.6%
3880 1
 
1.6%
2565 1
 
1.6%
10620 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 19
30.2%
ValueCountFrequency (%)
0 33
52.4%
10 1
 
1.6%
1080 1
 
1.6%
1820 1
 
1.6%
2565 1
 
1.6%
3880 1
 
1.6%
6420 1
 
1.6%
8350 1
 
1.6%
10620 1
 
1.6%
12905 1
 
1.6%
ValueCountFrequency (%)
35658 1
1.6%
17990 1
1.6%
12905 1
1.6%
10620 1
1.6%
8350 1
1.6%
6420 1
1.6%
3880 1
1.6%
2565 1
1.6%
1820 1
1.6%
1080 1
1.6%

2020-05-17
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)23.3%
Missing20
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean1466.7751
Minimum0
Maximum19953.33
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:32.553187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13891
Maximum19953.33
Range19953.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4545.5337
Coefficient of variation (CV)3.0989984
Kurtosis10.171717
Mean1466.7751
Median Absolute Deviation (MAD)0
Skewness3.3240478
Sum63071.33
Variance20661876
MonotonicityNot monotonic
2024-04-18T04:30:32.652993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 34
54.0%
28.0 1
 
1.6%
1050.0 1
 
1.6%
14670.0 1
 
1.6%
19953.33 1
 
1.6%
550.0 1
 
1.6%
650.0 1
 
1.6%
2170.0 1
 
1.6%
6880.0 1
 
1.6%
17120.0 1
 
1.6%
(Missing) 20
31.7%
ValueCountFrequency (%)
0.0 34
54.0%
28.0 1
 
1.6%
550.0 1
 
1.6%
650.0 1
 
1.6%
1050.0 1
 
1.6%
2170.0 1
 
1.6%
6880.0 1
 
1.6%
14670.0 1
 
1.6%
17120.0 1
 
1.6%
19953.33 1
 
1.6%
ValueCountFrequency (%)
19953.33 1
 
1.6%
17120.0 1
 
1.6%
14670.0 1
 
1.6%
6880.0 1
 
1.6%
2170.0 1
 
1.6%
1050.0 1
 
1.6%
650.0 1
 
1.6%
550.0 1
 
1.6%
28.0 1
 
1.6%
0.0 34
54.0%

2020-05-16
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)15.6%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean47575.667
Minimum0
Maximum2070810
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:32.739462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15216
Maximum2070810
Range2070810
Interquartile range (IQR)0

Descriptive statistics

Standard deviation308503.98
Coefficient of variation (CV)6.484491
Kurtosis44.972946
Mean47575.667
Median Absolute Deviation (MAD)0
Skewness6.705266
Sum2140905
Variance9.5174708 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:32.818062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 38
60.3%
4650 2
 
3.2%
7110 1
 
1.6%
2070810 1
 
1.6%
29055 1
 
1.6%
7480 1
 
1.6%
17150 1
 
1.6%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 38
60.3%
4650 2
 
3.2%
7110 1
 
1.6%
7480 1
 
1.6%
17150 1
 
1.6%
29055 1
 
1.6%
2070810 1
 
1.6%
ValueCountFrequency (%)
2070810 1
 
1.6%
29055 1
 
1.6%
17150 1
 
1.6%
7480 1
 
1.6%
7110 1
 
1.6%
4650 2
 
3.2%
0 38
60.3%

2020-05-15
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)24.4%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean15278.815
Minimum0
Maximum606654.34
Zeros35
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:32.897801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16454
Maximum606654.34
Range606654.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90365.418
Coefficient of variation (CV)5.9144259
Kurtosis44.564724
Mean15278.815
Median Absolute Deviation (MAD)0
Skewness6.6618915
Sum687546.67
Variance8.1659088 × 109
MonotonicityNot monotonic
2024-04-18T04:30:32.997832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 35
55.6%
14.0 1
 
1.6%
12110.0 1
 
1.6%
606654.34 1
 
1.6%
600.0 1
 
1.6%
2670.0 1
 
1.6%
34583.33 1
 
1.6%
580.0 1
 
1.6%
10605.0 1
 
1.6%
2190.0 1
 
1.6%
(Missing) 18
28.6%
ValueCountFrequency (%)
0.0 35
55.6%
14.0 1
 
1.6%
580.0 1
 
1.6%
600.0 1
 
1.6%
2190.0 1
 
1.6%
2670.0 1
 
1.6%
10605.0 1
 
1.6%
12110.0 1
 
1.6%
17540.0 1
 
1.6%
34583.33 1
 
1.6%
ValueCountFrequency (%)
606654.34 1
1.6%
34583.33 1
1.6%
17540.0 1
1.6%
12110.0 1
1.6%
10605.0 1
1.6%
2670.0 1
1.6%
2190.0 1
1.6%
600.0 1
1.6%
580.0 1
1.6%
14.0 1
1.6%

2020-05-14
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)28.9%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean29143.333
Minimum0
Maximum1215910
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:33.105655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile16632
Maximum1215910
Range1215910
Interquartile range (IQR)30

Descriptive statistics

Standard deviation181012.46
Coefficient of variation (CV)6.2111102
Kurtosis44.915995
Mean29143.333
Median Absolute Deviation (MAD)0
Skewness6.6990928
Sum1311450
Variance3.2765509 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:33.217165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 33
52.4%
30 1
 
1.6%
25040 1
 
1.6%
1215910 1
 
1.6%
3010 1
 
1.6%
8730 1
 
1.6%
2110 1
 
1.6%
15440 1
 
1.6%
3660 1
 
1.6%
9190 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 33
52.4%
30 1
 
1.6%
190 1
 
1.6%
2110 1
 
1.6%
3010 1
 
1.6%
3660 1
 
1.6%
8730 1
 
1.6%
9190 1
 
1.6%
11210 1
 
1.6%
15440 1
 
1.6%
ValueCountFrequency (%)
1215910 1
1.6%
25040 1
1.6%
16930 1
1.6%
15440 1
1.6%
11210 1
1.6%
9190 1
1.6%
8730 1
1.6%
3660 1
1.6%
3010 1
1.6%
2110 1
1.6%

2020-05-13
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)37.8%
Missing18
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2350.7556
Minimum0
Maximum23360
Zeros28
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:33.319216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31260
95-th percentile15812
Maximum23360
Range23360
Interquartile range (IQR)1260

Descriptive statistics

Standard deviation5432.3681
Coefficient of variation (CV)2.310903
Kurtosis8.0692385
Mean2350.7556
Median Absolute Deviation (MAD)0
Skewness2.8959359
Sum105784
Variance29510623
MonotonicityNot monotonic
2024-04-18T04:30:33.422828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 28
44.4%
3990 2
 
3.2%
9220 1
 
1.6%
17460 1
 
1.6%
3810 1
 
1.6%
130 1
 
1.6%
1640 1
 
1.6%
6710 1
 
1.6%
21210 1
 
1.6%
44 1
 
1.6%
Other values (7) 7
 
11.1%
(Missing) 18
28.6%
ValueCountFrequency (%)
0 28
44.4%
10 1
 
1.6%
44 1
 
1.6%
130 1
 
1.6%
810 1
 
1.6%
820 1
 
1.6%
1260 1
 
1.6%
1640 1
 
1.6%
3810 1
 
1.6%
3990 2
 
3.2%
ValueCountFrequency (%)
23360 1
1.6%
21210 1
1.6%
17460 1
1.6%
9220 1
1.6%
6710 1
1.6%
6230 1
1.6%
5090 1
1.6%
3990 2
3.2%
3810 1
1.6%
1640 1
1.6%

2020-05-12
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)24.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean833.26
Minimum0
Maximum18545
Zeros39
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:33.516326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3749
Maximum18545
Range18545
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2915.5135
Coefficient of variation (CV)3.4989241
Kurtosis28.989718
Mean833.26
Median Absolute Deviation (MAD)0
Skewness5.0798382
Sum41663
Variance8500218.7
MonotonicityNot monotonic
2024-04-18T04:30:33.595950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 39
61.9%
48 1
 
1.6%
7660 1
 
1.6%
3320 1
 
1.6%
4100 1
 
1.6%
1740 1
 
1.6%
2600 1
 
1.6%
3310 1
 
1.6%
140 1
 
1.6%
10 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0 39
61.9%
10 1
 
1.6%
48 1
 
1.6%
140 1
 
1.6%
190 1
 
1.6%
1740 1
 
1.6%
2600 1
 
1.6%
3310 1
 
1.6%
3320 1
 
1.6%
4100 1
 
1.6%
ValueCountFrequency (%)
18545 1
1.6%
7660 1
1.6%
4100 1
1.6%
3320 1
1.6%
3310 1
1.6%
2600 1
1.6%
1740 1
1.6%
190 1
1.6%
140 1
1.6%
48 1
1.6%

2020-05-11
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)28.6%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean1420.102
Minimum0
Maximum15150
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:33.680115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile7060
Maximum15150
Range15150
Interquartile range (IQR)30

Descriptive statistics

Standard deviation3287.8115
Coefficient of variation (CV)2.3151939
Kurtosis7.401574
Mean1420.102
Median Absolute Deviation (MAD)0
Skewness2.6866002
Sum69585
Variance10809705
MonotonicityNot monotonic
2024-04-18T04:30:33.759223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 36
57.1%
30 1
 
1.6%
5130 1
 
1.6%
5620 1
 
1.6%
15150 1
 
1.6%
5480 1
 
1.6%
180 1
 
1.6%
6505 1
 
1.6%
2260 1
 
1.6%
7430 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 14
 
22.2%
ValueCountFrequency (%)
0 36
57.1%
30 1
 
1.6%
180 1
 
1.6%
490 1
 
1.6%
2260 1
 
1.6%
2640 1
 
1.6%
5130 1
 
1.6%
5480 1
 
1.6%
5620 1
 
1.6%
6500 1
 
1.6%
ValueCountFrequency (%)
15150 1
1.6%
12170 1
1.6%
7430 1
1.6%
6505 1
1.6%
6500 1
1.6%
5620 1
1.6%
5480 1
1.6%
5130 1
1.6%
2640 1
1.6%
2260 1
1.6%

2020-05-10
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)22.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean2195.8736
Minimum0
Maximum23275
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:33.839685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17249.9
Maximum23275
Range23275
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5485.1485
Coefficient of variation (CV)2.4979345
Kurtosis6.3781353
Mean2195.8736
Median Absolute Deviation (MAD)0
Skewness2.6951912
Sum109793.68
Variance30086854
MonotonicityNot monotonic
2024-04-18T04:30:33.912832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 38
60.3%
1650.0 2
 
3.2%
6338.34 2
 
3.2%
16492.0 1
 
1.6%
18140.0 1
 
1.6%
4120.0 1
 
1.6%
1520.0 1
 
1.6%
12170.0 1
 
1.6%
23275.0 1
 
1.6%
230.0 1
 
1.6%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0.0 38
60.3%
230.0 1
 
1.6%
1520.0 1
 
1.6%
1650.0 2
 
3.2%
4120.0 1
 
1.6%
6338.34 2
 
3.2%
12170.0 1
 
1.6%
16492.0 1
 
1.6%
17870.0 1
 
1.6%
18140.0 1
 
1.6%
ValueCountFrequency (%)
23275.0 1
1.6%
18140.0 1
1.6%
17870.0 1
1.6%
16492.0 1
1.6%
12170.0 1
1.6%
6338.34 2
3.2%
4120.0 1
1.6%
1650.0 2
3.2%
1520.0 1
1.6%
230.0 1
1.6%

2020-05-09
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)16.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean1323.62
Minimum0
Maximum20310
Zeros43
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:33.986763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10925.75
Maximum20310
Range20310
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4440.5504
Coefficient of variation (CV)3.3548529
Kurtosis12.085332
Mean1323.62
Median Absolute Deviation (MAD)0
Skewness3.562787
Sum66181
Variance19718487
MonotonicityNot monotonic
2024-04-18T04:30:34.076669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 43
68.3%
16 1
 
1.6%
5340 1
 
1.6%
7150 1
 
1.6%
14015 1
 
1.6%
20310 1
 
1.6%
240 1
 
1.6%
19110 1
 
1.6%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0 43
68.3%
16 1
 
1.6%
240 1
 
1.6%
5340 1
 
1.6%
7150 1
 
1.6%
14015 1
 
1.6%
19110 1
 
1.6%
20310 1
 
1.6%
ValueCountFrequency (%)
20310 1
 
1.6%
19110 1
 
1.6%
14015 1
 
1.6%
7150 1
 
1.6%
5340 1
 
1.6%
240 1
 
1.6%
16 1
 
1.6%
0 43
68.3%

2020-05-08
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)29.2%
Missing15
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean13322.684
Minimum0
Maximum456185
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:34.164113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32480
95-th percentile25188.25
Maximum456185
Range456185
Interquartile range (IQR)2480

Descriptive statistics

Standard deviation66011.049
Coefficient of variation (CV)4.954786
Kurtosis45.779641
Mean13322.684
Median Absolute Deviation (MAD)0
Skewness6.7038028
Sum639488.84
Variance4.3574586 × 109
MonotonicityNot monotonic
2024-04-18T04:30:34.242163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 34
54.0%
2480.0 2
 
3.2%
18148.0 1
 
1.6%
56027.5 1
 
1.6%
456185.0 1
 
1.6%
6810.0 1
 
1.6%
7660.0 1
 
1.6%
8340.0 1
 
1.6%
28655.0 1
 
1.6%
11253.34 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 15
23.8%
ValueCountFrequency (%)
0.0 34
54.0%
170.0 1
 
1.6%
2480.0 2
 
3.2%
6810.0 1
 
1.6%
7660.0 1
 
1.6%
8340.0 1
 
1.6%
9390.0 1
 
1.6%
11253.34 1
 
1.6%
13140.0 1
 
1.6%
18148.0 1
 
1.6%
ValueCountFrequency (%)
456185.0 1
1.6%
56027.5 1
1.6%
28655.0 1
1.6%
18750.0 1
1.6%
18148.0 1
1.6%
13140.0 1
1.6%
11253.34 1
1.6%
9390.0 1
1.6%
8340.0 1
1.6%
7660.0 1
1.6%

2020-05-07
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)18.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean1099.3
Minimum0
Maximum15755
Zeros42
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:34.312765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7247.5
Maximum15755
Range15755
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3367.655
Coefficient of variation (CV)3.063454
Kurtosis12.822167
Mean1099.3
Median Absolute Deviation (MAD)0
Skewness3.5777218
Sum54965
Variance11341100
MonotonicityNot monotonic
2024-04-18T04:30:34.411627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 42
66.7%
6670 1
 
1.6%
15250 1
 
1.6%
2310 1
 
1.6%
4340 1
 
1.6%
7720 1
 
1.6%
270 1
 
1.6%
2650 1
 
1.6%
15755 1
 
1.6%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0 42
66.7%
270 1
 
1.6%
2310 1
 
1.6%
2650 1
 
1.6%
4340 1
 
1.6%
6670 1
 
1.6%
7720 1
 
1.6%
15250 1
 
1.6%
15755 1
 
1.6%
ValueCountFrequency (%)
15755 1
 
1.6%
15250 1
 
1.6%
7720 1
 
1.6%
6670 1
 
1.6%
4340 1
 
1.6%
2650 1
 
1.6%
2310 1
 
1.6%
270 1
 
1.6%
0 42
66.7%

2020-05-06
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
59 
0
 
4

Length

Max length4
Median length4
Mean length3.8095238
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 59
93.7%
0 4
 
6.3%

Length

2024-04-18T04:30:34.520290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:34.595403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
93.7%
0 4
 
6.3%

2020-05-04
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)28.6%
Missing14
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean5117.3673
Minimum0
Maximum117535
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:34.663644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31190
95-th percentile18370
Maximum117535
Range117535
Interquartile range (IQR)1190

Descriptive statistics

Standard deviation17798.224
Coefficient of variation (CV)3.4780039
Kurtosis34.675127
Mean5117.3673
Median Absolute Deviation (MAD)0
Skewness5.6140131
Sum250751
Variance3.1677676 × 108
MonotonicityNot monotonic
2024-04-18T04:30:34.745286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 36
57.1%
18130 1
 
1.6%
18530 1
 
1.6%
117535 1
 
1.6%
4570 1
 
1.6%
37946 1
 
1.6%
7410 1
 
1.6%
8362 1
 
1.6%
1190 1
 
1.6%
11060 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 14
 
22.2%
ValueCountFrequency (%)
0 36
57.1%
1190 1
 
1.6%
1730 1
 
1.6%
3510 1
 
1.6%
4570 1
 
1.6%
4848 1
 
1.6%
7410 1
 
1.6%
8362 1
 
1.6%
11060 1
 
1.6%
15930 1
 
1.6%
ValueCountFrequency (%)
117535 1
1.6%
37946 1
1.6%
18530 1
1.6%
18130 1
1.6%
15930 1
1.6%
11060 1
1.6%
8362 1
1.6%
7410 1
1.6%
4848 1
1.6%
4570 1
1.6%

2020-05-03
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)30.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean5944
Minimum0
Maximum139548.34
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:34.845264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360
95-th percentile26121
Maximum139548.34
Range139548.34
Interquartile range (IQR)60

Descriptive statistics

Standard deviation21445.92
Coefficient of variation (CV)3.6079946
Kurtosis32.214142
Mean5944
Median Absolute Deviation (MAD)0
Skewness5.4104601
Sum297200
Variance4.5992748 × 108
MonotonicityNot monotonic
2024-04-18T04:30:34.921698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 36
57.1%
2410.0 1
 
1.6%
1872.0 1
 
1.6%
139548.34 1
 
1.6%
54650.0 1
 
1.6%
6820.0 1
 
1.6%
5960.0 1
 
1.6%
29550.0 1
 
1.6%
1858.0 1
 
1.6%
12540.0 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0.0 36
57.1%
30.0 1
 
1.6%
70.0 1
 
1.6%
1858.0 1
 
1.6%
1872.0 1
 
1.6%
2410.0 1
 
1.6%
5666.66 1
 
1.6%
5960.0 1
 
1.6%
6820.0 1
 
1.6%
12540.0 1
 
1.6%
ValueCountFrequency (%)
139548.34 1
1.6%
54650.0 1
1.6%
29550.0 1
1.6%
21930.0 1
1.6%
14295.0 1
1.6%
12540.0 1
1.6%
6820.0 1
1.6%
5960.0 1
1.6%
5666.66 1
1.6%
2410.0 1
1.6%

2020-05-02
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)32.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean5353.54
Minimum0
Maximum75325
Zeros35
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:35.005371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31485
95-th percentile26877
Maximum75325
Range75325
Interquartile range (IQR)1485

Descriptive statistics

Standard deviation14695.368
Coefficient of variation (CV)2.7449814
Kurtosis14.874313
Mean5353.54
Median Absolute Deviation (MAD)0
Skewness3.7745246
Sum267677
Variance2.1595384 × 108
MonotonicityNot monotonic
2024-04-18T04:30:35.086171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 35
55.6%
3110 1
 
1.6%
64290 1
 
1.6%
9420 1
 
1.6%
24050 1
 
1.6%
1680 1
 
1.6%
10 1
 
1.6%
9875 1
 
1.6%
9848 1
 
1.6%
13810 1
 
1.6%
Other values (6) 6
 
9.5%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0 35
55.6%
10 1
 
1.6%
900 1
 
1.6%
1680 1
 
1.6%
3110 1
 
1.6%
4624 1
 
1.6%
6500 1
 
1.6%
9420 1
 
1.6%
9848 1
 
1.6%
9875 1
 
1.6%
ValueCountFrequency (%)
75325 1
1.6%
64290 1
1.6%
29190 1
1.6%
24050 1
1.6%
15045 1
1.6%
13810 1
1.6%
9875 1
1.6%
9848 1
1.6%
9420 1
1.6%
6500 1
1.6%

2020-05-01
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)38.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean5611.1
Minimum0
Maximum61390
Zeros32
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:35.170955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37767.5
95-th percentile24327.75
Maximum61390
Range61390
Interquartile range (IQR)7767.5

Descriptive statistics

Standard deviation11365.872
Coefficient of variation (CV)2.025605
Kurtosis11.417307
Mean5611.1
Median Absolute Deviation (MAD)0
Skewness3.0122309
Sum280555
Variance1.2918305 × 108
MonotonicityNot monotonic
2024-04-18T04:30:35.252814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 32
50.8%
24270 1
 
1.6%
11498 1
 
1.6%
13475 1
 
1.6%
4792 1
 
1.6%
18645 1
 
1.6%
1670 1
 
1.6%
9490 1
 
1.6%
24375 1
 
1.6%
12370 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 13
20.6%
ValueCountFrequency (%)
0 32
50.8%
480 1
 
1.6%
880 1
 
1.6%
1670 1
 
1.6%
4792 1
 
1.6%
6440 1
 
1.6%
8210 1
 
1.6%
9490 1
 
1.6%
11498 1
 
1.6%
12370 1
 
1.6%
ValueCountFrequency (%)
61390 1
1.6%
32330 1
1.6%
24375 1
1.6%
24270 1
1.6%
20270 1
1.6%
18645 1
1.6%
16850 1
1.6%
13475 1
1.6%
13120 1
1.6%
12370 1
1.6%

2020-04-30
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)37.3%
Missing12
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean105088.29
Minimum0
Maximum5117496.7
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:35.337874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31595
95-th percentile40747
Maximum5117496.7
Range5117496.7
Interquartile range (IQR)1595

Descriptive statistics

Standard deviation716018.03
Coefficient of variation (CV)6.8134899
Kurtosis50.968882
Mean105088.29
Median Absolute Deviation (MAD)0
Skewness7.1382404
Sum5359503
Variance5.1268181 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:35.428166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 33
52.4%
14710.0 1
 
1.6%
52424.0 1
 
1.6%
59680.0 1
 
1.6%
18055.0 1
 
1.6%
1750.0 1
 
1.6%
1440.0 1
 
1.6%
21290.0 1
 
1.6%
9560.0 1
 
1.6%
20.0 1
 
1.6%
Other values (9) 9
 
14.3%
(Missing) 12
 
19.0%
ValueCountFrequency (%)
0.0 33
52.4%
14.0 1
 
1.6%
20.0 1
 
1.6%
1130.0 1
 
1.6%
1200.0 1
 
1.6%
1440.0 1
 
1.6%
1750.0 1
 
1.6%
4393.33 1
 
1.6%
5610.0 1
 
1.6%
9360.0 1
 
1.6%
ValueCountFrequency (%)
5117496.67 1
1.6%
59680.0 1
1.6%
52424.0 1
1.6%
29070.0 1
1.6%
21290.0 1
1.6%
18055.0 1
1.6%
14710.0 1
1.6%
12300.0 1
1.6%
9560.0 1
1.6%
9360.0 1
1.6%

2020-04-29
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)35.3%
Missing12
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean182614.22
Minimum0
Maximum9141030.7
Zeros32
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:35.519343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31020
95-th percentile31447.5
Maximum9141030.7
Range9141030.7
Interquartile range (IQR)1020

Descriptive statistics

Standard deviation1279555.5
Coefficient of variation (CV)7.0068779
Kurtosis50.993615
Mean182614.22
Median Absolute Deviation (MAD)0
Skewness7.1407727
Sum9313325.2
Variance1.6372624 × 1012
MonotonicityNot monotonic
2024-04-18T04:30:35.600835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 32
50.8%
1020.0 2
 
3.2%
20.0 2
 
3.2%
50569.56 1
 
1.6%
45535.0 1
 
1.6%
7152.0 1
 
1.6%
15200.0 1
 
1.6%
6195.0 1
 
1.6%
528.35 1
 
1.6%
4958.23 1
 
1.6%
Other values (8) 8
 
12.7%
(Missing) 12
 
19.0%
ValueCountFrequency (%)
0.0 32
50.8%
20.0 2
 
3.2%
250.0 1
 
1.6%
283.5 1
 
1.6%
528.35 1
 
1.6%
1020.0 2
 
3.2%
2880.0 1
 
1.6%
3990.0 1
 
1.6%
4958.23 1
 
1.6%
6195.0 1
 
1.6%
ValueCountFrequency (%)
9141030.69 1
1.6%
50569.56 1
1.6%
45535.0 1
1.6%
17360.0 1
1.6%
15200.0 1
1.6%
8182.86 1
1.6%
7152.0 1
1.6%
7130.0 1
1.6%
6195.0 1
1.6%
4958.23 1
1.6%

2020-04-28
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)38.5%
Missing11
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean72446.981
Minimum0
Maximum3640415
Zeros33
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:35.682567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31076.25
95-th percentile18623.5
Maximum3640415
Range3640415
Interquartile range (IQR)1076.25

Descriptive statistics

Standard deviation504548.23
Coefficient of variation (CV)6.964379
Kurtosis51.974492
Mean72446.981
Median Absolute Deviation (MAD)0
Skewness7.2085174
Sum3767243
Variance2.5456892 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:35.769734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 33
52.4%
450 1
 
1.6%
48495 1
 
1.6%
16000 1
 
1.6%
5610 1
 
1.6%
2740 1
 
1.6%
10980 1
 
1.6%
4925 1
 
1.6%
2115 1
 
1.6%
1440 1
 
1.6%
Other values (10) 10
 
15.9%
(Missing) 11
 
17.5%
ValueCountFrequency (%)
0 33
52.4%
18 1
 
1.6%
80 1
 
1.6%
160 1
 
1.6%
200 1
 
1.6%
450 1
 
1.6%
955 1
 
1.6%
1440 1
 
1.6%
2115 1
 
1.6%
2610 1
 
1.6%
ValueCountFrequency (%)
3640415 1
1.6%
48495 1
1.6%
21830 1
1.6%
16000 1
1.6%
10980 1
1.6%
5610 1
1.6%
5190 1
1.6%
4925 1
1.6%
3030 1
1.6%
2740 1
1.6%

2020-04-27
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)26.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean29932.997
Minimum0
Maximum1386026.2
Zeros38
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:35.854629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16661.5
Maximum1386026.2
Range1386026.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation195896.77
Coefficient of variation (CV)6.544509
Kurtosis49.780682
Mean29932.997
Median Absolute Deviation (MAD)0
Skewness7.0488052
Sum1496649.8
Variance3.8375544 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:35.935571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 38
60.3%
15490.0 1
 
1.6%
2082.0 1
 
1.6%
1386026.17 1
 
1.6%
5060.0 1
 
1.6%
6220.0 1
 
1.6%
1030.0 1
 
1.6%
30.0 1
 
1.6%
1260.0 1
 
1.6%
70.0 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 13
 
20.6%
ValueCountFrequency (%)
0.0 38
60.3%
30.0 1
 
1.6%
70.0 1
 
1.6%
1030.0 1
 
1.6%
1260.0 1
 
1.6%
2082.0 1
 
1.6%
2566.67 1
 
1.6%
5060.0 1
 
1.6%
6220.0 1
 
1.6%
15490.0 1
 
1.6%
ValueCountFrequency (%)
1386026.17 1
1.6%
59195.0 1
1.6%
17620.0 1
1.6%
15490.0 1
1.6%
6220.0 1
1.6%
5060.0 1
1.6%
2566.67 1
1.6%
2082.0 1
1.6%
1260.0 1
1.6%
1030.0 1
1.6%

2020-04-26
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)36.0%
Missing13
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean108644.82
Minimum0
Maximum5259395
Zeros32
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:36.023780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32862.5
95-th percentile28950.5
Maximum5259395
Range5259395
Interquartile range (IQR)2862.5

Descriptive statistics

Standard deviation743349.2
Coefficient of variation (CV)6.8420123
Kurtosis49.983622
Mean108644.82
Median Absolute Deviation (MAD)0
Skewness7.0693723
Sum5432241
Variance5.5256803 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:36.114222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 32
50.8%
4830 2
 
3.2%
2750 1
 
1.6%
18485 1
 
1.6%
2900 1
 
1.6%
1160 1
 
1.6%
150 1
 
1.6%
2930 1
 
1.6%
9140 1
 
1.6%
2372 1
 
1.6%
Other values (8) 8
 
12.7%
(Missing) 13
20.6%
ValueCountFrequency (%)
0 32
50.8%
24 1
 
1.6%
150 1
 
1.6%
1160 1
 
1.6%
2372 1
 
1.6%
2750 1
 
1.6%
2900 1
 
1.6%
2930 1
 
1.6%
3480 1
 
1.6%
4830 2
 
3.2%
ValueCountFrequency (%)
5259395 1
1.6%
49550 1
1.6%
36200 1
1.6%
20090 1
1.6%
18485 1
1.6%
9140 1
1.6%
7440 1
1.6%
6515 1
1.6%
4830 2
3.2%
3480 1
1.6%

2020-04-25
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)18.5%
Missing9
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean1444.1111
Minimum0
Maximum19895
Zeros45
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:36.196151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13032
Maximum19895
Range19895
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4571.8798
Coefficient of variation (CV)3.1658781
Kurtosis11.041009
Mean1444.1111
Median Absolute Deviation (MAD)0
Skewness3.4598076
Sum77982
Variance20902085
MonotonicityNot monotonic
2024-04-18T04:30:36.278007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 45
71.4%
2532 1
 
1.6%
19895 1
 
1.6%
3450 1
 
1.6%
17660 1
 
1.6%
2710 1
 
1.6%
125 1
 
1.6%
1760 1
 
1.6%
10540 1
 
1.6%
19310 1
 
1.6%
(Missing) 9
 
14.3%
ValueCountFrequency (%)
0 45
71.4%
125 1
 
1.6%
1760 1
 
1.6%
2532 1
 
1.6%
2710 1
 
1.6%
3450 1
 
1.6%
10540 1
 
1.6%
17660 1
 
1.6%
19310 1
 
1.6%
19895 1
 
1.6%
ValueCountFrequency (%)
19895 1
 
1.6%
19310 1
 
1.6%
17660 1
 
1.6%
10540 1
 
1.6%
3450 1
 
1.6%
2710 1
 
1.6%
2532 1
 
1.6%
1760 1
 
1.6%
125 1
 
1.6%
0 45
71.4%

2020-04-24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

2020-04-23
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)24.5%
Missing10
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean1331.9057
Minimum0
Maximum19160
Zeros41
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:36.360993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7712
Maximum19160
Range19160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3876.2593
Coefficient of variation (CV)2.9103107
Kurtosis13.613227
Mean1331.9057
Median Absolute Deviation (MAD)0
Skewness3.6545251
Sum70591
Variance15025386
MonotonicityNot monotonic
2024-04-18T04:30:36.444226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 41
65.1%
48 1
 
1.6%
3688 1
 
1.6%
1990 1
 
1.6%
6010 1
 
1.6%
5500 1
 
1.6%
17440 1
 
1.6%
19160 1
 
1.6%
1210 1
 
1.6%
10265 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 10
 
15.9%
ValueCountFrequency (%)
0 41
65.1%
48 1
 
1.6%
135 1
 
1.6%
1210 1
 
1.6%
1990 1
 
1.6%
2400 1
 
1.6%
2745 1
 
1.6%
3688 1
 
1.6%
5500 1
 
1.6%
6010 1
 
1.6%
ValueCountFrequency (%)
19160 1
1.6%
17440 1
1.6%
10265 1
1.6%
6010 1
1.6%
5500 1
1.6%
3688 1
1.6%
2745 1
1.6%
2400 1
1.6%
1990 1
1.6%
1210 1
1.6%

2020-04-22
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)25.5%
Missing12
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean741.35294
Minimum0
Maximum20435
Zeros39
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:36.538632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3585
Maximum20435
Range20435
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2981.0126
Coefficient of variation (CV)4.0210437
Kurtosis39.857736
Mean741.35294
Median Absolute Deviation (MAD)0
Skewness6.066071
Sum37809
Variance8886436
MonotonicityNot monotonic
2024-04-18T04:30:36.636190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 39
61.9%
32 1
 
1.6%
992 1
 
1.6%
20435 1
 
1.6%
540 1
 
1.6%
50 1
 
1.6%
4180 1
 
1.6%
4030 1
 
1.6%
2770 1
 
1.6%
130 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 12
 
19.0%
ValueCountFrequency (%)
0 39
61.9%
20 1
 
1.6%
32 1
 
1.6%
50 1
 
1.6%
130 1
 
1.6%
540 1
 
1.6%
992 1
 
1.6%
1490 1
 
1.6%
2770 1
 
1.6%
3140 1
 
1.6%
ValueCountFrequency (%)
20435 1
1.6%
4180 1
1.6%
4030 1
1.6%
3140 1
1.6%
2770 1
1.6%
1490 1
1.6%
992 1
1.6%
540 1
1.6%
130 1
1.6%
50 1
1.6%

2020-04-21
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)15.4%
Missing11
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean496.14288
Minimum0
Maximum16855
Zeros44
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:36.717074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile258.65
Maximum16855
Range16855
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2575.4193
Coefficient of variation (CV)5.1908822
Kurtosis34.460823
Mean496.14288
Median Absolute Deviation (MAD)0
Skewness5.7586627
Sum25799.43
Variance6632784.5
MonotonicityNot monotonic
2024-04-18T04:30:36.795312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 44
69.8%
60.0 2
 
3.2%
98.0 1
 
1.6%
16855.0 1
 
1.6%
455.0 1
 
1.6%
8170.0 1
 
1.6%
91.43 1
 
1.6%
10.0 1
 
1.6%
(Missing) 11
 
17.5%
ValueCountFrequency (%)
0.0 44
69.8%
10.0 1
 
1.6%
60.0 2
 
3.2%
91.43 1
 
1.6%
98.0 1
 
1.6%
455.0 1
 
1.6%
8170.0 1
 
1.6%
16855.0 1
 
1.6%
ValueCountFrequency (%)
16855.0 1
 
1.6%
8170.0 1
 
1.6%
455.0 1
 
1.6%
98.0 1
 
1.6%
91.43 1
 
1.6%
60.0 2
 
3.2%
10.0 1
 
1.6%
0.0 44
69.8%

2020-04-20
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)17.3%
Missing11
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean534.44231
Minimum0
Maximum16795
Zeros44
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:36.872594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile750.75
Maximum16795
Range16795
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2605.3834
Coefficient of variation (CV)4.8749572
Kurtosis32.516804
Mean534.44231
Median Absolute Deviation (MAD)0
Skewness5.6005102
Sum27791
Variance6788022.4
MonotonicityNot monotonic
2024-04-18T04:30:36.953594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 44
69.8%
466 1
 
1.6%
8800 1
 
1.6%
16795 1
 
1.6%
555 1
 
1.6%
10 1
 
1.6%
990 1
 
1.6%
155 1
 
1.6%
20 1
 
1.6%
(Missing) 11
 
17.5%
ValueCountFrequency (%)
0 44
69.8%
10 1
 
1.6%
20 1
 
1.6%
155 1
 
1.6%
466 1
 
1.6%
555 1
 
1.6%
990 1
 
1.6%
8800 1
 
1.6%
16795 1
 
1.6%
ValueCountFrequency (%)
16795 1
 
1.6%
8800 1
 
1.6%
990 1
 
1.6%
555 1
 
1.6%
466 1
 
1.6%
155 1
 
1.6%
20 1
 
1.6%
10 1
 
1.6%
0 44
69.8%

2020-04-19
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)21.2%
Missing11
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean40245.25
Minimum0
Maximum2059960
Zeros42
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:37.039200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4207.5
Maximum2059960
Range2059960
Interquartile range (IQR)0

Descriptive statistics

Standard deviation285588.39
Coefficient of variation (CV)7.0962013
Kurtosis51.990341
Mean40245.25
Median Absolute Deviation (MAD)0
Skewness7.2101221
Sum2092753
Variance8.1560731 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:37.118623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 42
66.7%
8 1
 
1.6%
2059960 1
 
1.6%
5390 1
 
1.6%
18340 1
 
1.6%
2420 1
 
1.6%
3240 1
 
1.6%
1230 1
 
1.6%
145 1
 
1.6%
770 1
 
1.6%
(Missing) 11
 
17.5%
ValueCountFrequency (%)
0 42
66.7%
8 1
 
1.6%
145 1
 
1.6%
770 1
 
1.6%
1230 1
 
1.6%
1250 1
 
1.6%
2420 1
 
1.6%
3240 1
 
1.6%
5390 1
 
1.6%
18340 1
 
1.6%
ValueCountFrequency (%)
2059960 1
1.6%
18340 1
1.6%
5390 1
1.6%
3240 1
1.6%
2420 1
1.6%
1250 1
1.6%
1230 1
1.6%
770 1
1.6%
145 1
1.6%
8 1
1.6%

2020-04-18
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)18.9%
Missing10
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean164693.93
Minimum0
Maximum8700525
Zeros44
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:37.500381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3038
Maximum8700525
Range8700525
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1195037
Coefficient of variation (CV)7.2561085
Kurtosis52.999503
Mean164693.93
Median Absolute Deviation (MAD)0
Skewness7.2800597
Sum8728778.3
Variance1.4281135 × 1012
MonotonicityNot monotonic
2024-04-18T04:30:37.576348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 44
69.8%
912.35 1
 
1.6%
8700525.0 1
 
1.6%
17755.0 1
 
1.6%
490.0 1
 
1.6%
2190.0 1
 
1.6%
4310.0 1
 
1.6%
130.0 1
 
1.6%
440.0 1
 
1.6%
2026.0 1
 
1.6%
(Missing) 10
 
15.9%
ValueCountFrequency (%)
0.0 44
69.8%
130.0 1
 
1.6%
440.0 1
 
1.6%
490.0 1
 
1.6%
912.35 1
 
1.6%
2026.0 1
 
1.6%
2190.0 1
 
1.6%
4310.0 1
 
1.6%
17755.0 1
 
1.6%
8700525.0 1
 
1.6%
ValueCountFrequency (%)
8700525.0 1
 
1.6%
17755.0 1
 
1.6%
4310.0 1
 
1.6%
2190.0 1
 
1.6%
2026.0 1
 
1.6%
912.35 1
 
1.6%
490.0 1
 
1.6%
440.0 1
 
1.6%
130.0 1
 
1.6%
0.0 44
69.8%

2020-04-17
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)11.1%
Missing9
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean61990.556
Minimum0
Maximum3338190
Zeros49
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:37.648175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile637.5
Maximum3338190
Range3338190
Interquartile range (IQR)0

Descriptive statistics

Standard deviation454247.45
Coefficient of variation (CV)7.3276879
Kurtosis53.999394
Mean61990.556
Median Absolute Deviation (MAD)0
Skewness7.3484086
Sum3347490
Variance2.0634074 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:37.727119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 49
77.8%
3338190 1
 
1.6%
7660 1
 
1.6%
350 1
 
1.6%
620 1
 
1.6%
670 1
 
1.6%
(Missing) 9
 
14.3%
ValueCountFrequency (%)
0 49
77.8%
350 1
 
1.6%
620 1
 
1.6%
670 1
 
1.6%
7660 1
 
1.6%
3338190 1
 
1.6%
ValueCountFrequency (%)
3338190 1
 
1.6%
7660 1
 
1.6%
670 1
 
1.6%
620 1
 
1.6%
350 1
 
1.6%
0 49
77.8%

2020-04-16
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)24.1%
Missing9
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean125419.05
Minimum0
Maximum6718083.6
Zeros42
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:37.809760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8633
Maximum6718083.6
Range6718083.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation914080.43
Coefficient of variation (CV)7.2882106
Kurtosis53.998725
Mean125419.05
Median Absolute Deviation (MAD)0
Skewness7.3483416
Sum6772628.6
Variance8.3554303 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:37.891983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 42
66.7%
6718083.56 1
 
1.6%
17855.0 1
 
1.6%
2810.0 1
 
1.6%
4680.0 1
 
1.6%
3110.0 1
 
1.6%
210.0 1
 
1.6%
10440.0 1
 
1.6%
4240.0 1
 
1.6%
10.0 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 9
 
14.3%
ValueCountFrequency (%)
0.0 42
66.7%
10.0 1
 
1.6%
210.0 1
 
1.6%
1490.0 1
 
1.6%
2040.0 1
 
1.6%
2810.0 1
 
1.6%
3110.0 1
 
1.6%
4240.0 1
 
1.6%
4680.0 1
 
1.6%
7660.0 1
 
1.6%
ValueCountFrequency (%)
6718083.56 1
1.6%
17855.0 1
1.6%
10440.0 1
1.6%
7660.0 1
1.6%
4680.0 1
1.6%
4240.0 1
1.6%
3110.0 1
1.6%
2810.0 1
1.6%
2040.0 1
1.6%
1490.0 1
1.6%

2020-04-15
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)22.6%
Missing10
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean231366.46
Minimum0
Maximum12132982
Zeros42
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:37.981577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7828
Maximum12132982
Range12132982
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1666306.1
Coefficient of variation (CV)7.2020211
Kurtosis52.992624
Mean231366.46
Median Absolute Deviation (MAD)0
Skewness7.279368
Sum12262422
Variance2.7765761 × 1012
MonotonicityNot monotonic
2024-04-18T04:30:38.070412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 42
66.7%
98100.0 1
 
1.6%
12132982.5 1
 
1.6%
7500.0 1
 
1.6%
4345.0 1
 
1.6%
400.0 1
 
1.6%
2200.0 1
 
1.6%
8320.0 1
 
1.6%
10.0 1
 
1.6%
5545.0 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 10
 
15.9%
ValueCountFrequency (%)
0.0 42
66.7%
10.0 1
 
1.6%
400.0 1
 
1.6%
1110.0 1
 
1.6%
1910.0 1
 
1.6%
2200.0 1
 
1.6%
4345.0 1
 
1.6%
5545.0 1
 
1.6%
7500.0 1
 
1.6%
8320.0 1
 
1.6%
ValueCountFrequency (%)
12132982.5 1
1.6%
98100.0 1
1.6%
8320.0 1
1.6%
7500.0 1
1.6%
5545.0 1
1.6%
4345.0 1
1.6%
2200.0 1
1.6%
1910.0 1
1.6%
1110.0 1
1.6%
400.0 1
1.6%

2020-04-14
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)66.7%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean182818.1
Minimum0
Maximum3665070
Zeros8
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:38.154737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median410
Q36430
95-th percentile98100
Maximum3665070
Range3665070
Interquartile range (IQR)6430

Descriptive statistics

Standard deviation798204.14
Coefficient of variation (CV)4.3661112
Kurtosis20.960956
Mean182818.1
Median Absolute Deviation (MAD)410
Skewness4.5765682
Sum3839180
Variance6.3712984 × 1011
MonotonicityNot monotonic
2024-04-18T04:30:38.243846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
 
12.7%
98100 1
 
1.6%
3665070 1
 
1.6%
6430 1
 
1.6%
4080 1
 
1.6%
30 1
 
1.6%
2200 1
 
1.6%
2150 1
 
1.6%
7290 1
 
1.6%
43620 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 8
12.7%
30 1
 
1.6%
70 1
 
1.6%
410 1
 
1.6%
630 1
 
1.6%
2150 1
 
1.6%
2200 1
 
1.6%
4080 1
 
1.6%
6430 1
 
1.6%
7290 1
 
1.6%
ValueCountFrequency (%)
3665070 1
1.6%
98100 1
1.6%
43620 1
1.6%
9100 1
1.6%
7290 1
1.6%
6430 1
1.6%
4080 1
1.6%
2200 1
1.6%
2150 1
1.6%
630 1
1.6%

2020-04-13
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)61.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean39581.429
Minimum0
Maximum654820
Zeros9
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:38.328441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median630
Q36410
95-th percentile98100
Maximum654820
Range654820
Interquartile range (IQR)6410

Descriptive statistics

Standard deviation142762.47
Coefficient of variation (CV)3.6068043
Kurtosis19.796414
Mean39581.429
Median Absolute Deviation (MAD)630
Skewness4.4083353
Sum831210
Variance2.0381122 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:38.434494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
 
14.3%
98100 1
 
1.6%
654820 1
 
1.6%
8320 1
 
1.6%
4550 1
 
1.6%
4080 1
 
1.6%
2200 1
 
1.6%
7290 1
 
1.6%
43620 1
 
1.6%
40 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 9
14.3%
40 1
 
1.6%
630 1
 
1.6%
1150 1
 
1.6%
2200 1
 
1.6%
4080 1
 
1.6%
4550 1
 
1.6%
6410 1
 
1.6%
7290 1
 
1.6%
8320 1
 
1.6%
ValueCountFrequency (%)
654820 1
1.6%
98100 1
1.6%
43620 1
1.6%
8320 1
1.6%
7290 1
1.6%
6410 1
1.6%
4550 1
1.6%
4080 1
1.6%
2200 1
1.6%
1150 1
1.6%

2020-04-12
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)52.6%
Missing44
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean8612.6316
Minimum0
Maximum98100
Zeros10
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:38.527925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33155
95-th percentile49068
Maximum98100
Range98100
Interquartile range (IQR)3155

Descriptive statistics

Standard deviation23849.863
Coefficient of variation (CV)2.7691726
Kurtosis12.18661
Mean8612.6316
Median Absolute Deviation (MAD)0
Skewness3.4381965
Sum163640
Variance5.6881599 × 108
MonotonicityNot monotonic
2024-04-18T04:30:38.623949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 10
 
15.9%
98100 1
 
1.6%
8320 1
 
1.6%
5460 1
 
1.6%
3890 1
 
1.6%
43620 1
 
1.6%
50 1
 
1.6%
1150 1
 
1.6%
2420 1
 
1.6%
630 1
 
1.6%
(Missing) 44
69.8%
ValueCountFrequency (%)
0 10
15.9%
50 1
 
1.6%
630 1
 
1.6%
1150 1
 
1.6%
2420 1
 
1.6%
3890 1
 
1.6%
5460 1
 
1.6%
8320 1
 
1.6%
43620 1
 
1.6%
98100 1
 
1.6%
ValueCountFrequency (%)
98100 1
 
1.6%
43620 1
 
1.6%
8320 1
 
1.6%
5460 1
 
1.6%
3890 1
 
1.6%
2420 1
 
1.6%
1150 1
 
1.6%
630 1
 
1.6%
50 1
 
1.6%
0 10
15.9%

2020-04-11
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)60.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean8172.5
Minimum0
Maximum98100
Zeros9
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:38.702316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median320
Q31820
95-th percentile46344
Maximum98100
Range98100
Interquartile range (IQR)1820

Descriptive statistics

Standard deviation23290.892
Coefficient of variation (CV)2.8499104
Kurtosis12.91749
Mean8172.5
Median Absolute Deviation (MAD)320
Skewness3.5374585
Sum163450
Variance5.4246567 × 108
MonotonicityNot monotonic
2024-04-18T04:30:38.785186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 9
 
14.3%
98100 1
 
1.6%
8330 1
 
1.6%
2150 1
 
1.6%
600 1
 
1.6%
1500 1
 
1.6%
1710 1
 
1.6%
43620 1
 
1.6%
40 1
 
1.6%
790 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 9
14.3%
40 1
 
1.6%
600 1
 
1.6%
630 1
 
1.6%
790 1
 
1.6%
1500 1
 
1.6%
1710 1
 
1.6%
2150 1
 
1.6%
5980 1
 
1.6%
8330 1
 
1.6%
ValueCountFrequency (%)
98100 1
1.6%
43620 1
1.6%
8330 1
1.6%
5980 1
1.6%
2150 1
1.6%
1710 1
1.6%
1500 1
1.6%
790 1
1.6%
630 1
1.6%
600 1
1.6%

2020-04-10
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)61.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean30258.095
Minimum0
Maximum465680
Zeros9
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:38.866095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median630
Q35480
95-th percentile98100
Maximum465680
Range465680
Interquartile range (IQR)5480

Descriptive statistics

Standard deviation102302.59
Coefficient of variation (CV)3.380999
Kurtosis18.677809
Mean30258.095
Median Absolute Deviation (MAD)630
Skewness4.2547381
Sum635420
Variance1.046582 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:38.948678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
 
14.3%
98100 1
 
1.6%
465680 1
 
1.6%
8330 1
 
1.6%
6910 1
 
1.6%
2150 1
 
1.6%
1500 1
 
1.6%
5480 1
 
1.6%
1700 1
 
1.6%
43620 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 9
14.3%
100 1
 
1.6%
630 1
 
1.6%
1220 1
 
1.6%
1500 1
 
1.6%
1700 1
 
1.6%
2150 1
 
1.6%
5480 1
 
1.6%
6910 1
 
1.6%
8330 1
 
1.6%
ValueCountFrequency (%)
465680 1
1.6%
98100 1
1.6%
43620 1
1.6%
8330 1
1.6%
6910 1
1.6%
5480 1
1.6%
2150 1
1.6%
1700 1
1.6%
1500 1
1.6%
1220 1
1.6%

2020-04-09
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)66.7%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean39916.19
Minimum0
Maximum654790
Zeros8
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:39.024998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1190
Q35630
95-th percentile98100
Maximum654790
Range654790
Interquartile range (IQR)5630

Descriptive statistics

Standard deviation142666.18
Coefficient of variation (CV)3.5741432
Kurtosis19.803989
Mean39916.19
Median Absolute Deviation (MAD)1190
Skewness4.4093679
Sum838240
Variance2.0353639 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:39.105551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
 
12.7%
98100 1
 
1.6%
654790 1
 
1.6%
5630 1
 
1.6%
6910 1
 
1.6%
4940 1
 
1.6%
3690 1
 
1.6%
5490 1
 
1.6%
3430 1
 
1.6%
43620 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 8
12.7%
90 1
 
1.6%
630 1
 
1.6%
1190 1
 
1.6%
3430 1
 
1.6%
3690 1
 
1.6%
4940 1
 
1.6%
5490 1
 
1.6%
5630 1
 
1.6%
6910 1
 
1.6%
ValueCountFrequency (%)
654790 1
1.6%
98100 1
1.6%
43620 1
1.6%
9730 1
1.6%
6910 1
1.6%
5630 1
1.6%
5490 1
1.6%
4940 1
1.6%
3690 1
1.6%
3430 1
1.6%

2020-04-08
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)61.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean38698.571
Minimum0
Maximum653170
Zeros9
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:39.183745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50
Q34940
95-th percentile98100
Maximum653170
Range653170
Interquartile range (IQR)4940

Descriptive statistics

Standard deviation142492.7
Coefficient of variation (CV)3.6821178
Kurtosis19.856302
Mean38698.571
Median Absolute Deviation (MAD)50
Skewness4.4177704
Sum812670
Variance2.0304169 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:39.263915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
 
14.3%
98100 1
 
1.6%
653170 1
 
1.6%
4940 1
 
1.6%
8390 1
 
1.6%
3690 1
 
1.6%
5500 1
 
1.6%
3430 1
 
1.6%
33550 1
 
1.6%
50 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 9
14.3%
10 1
 
1.6%
50 1
 
1.6%
630 1
 
1.6%
1210 1
 
1.6%
3430 1
 
1.6%
3690 1
 
1.6%
4940 1
 
1.6%
5500 1
 
1.6%
8390 1
 
1.6%
ValueCountFrequency (%)
653170 1
1.6%
98100 1
1.6%
33550 1
1.6%
8390 1
1.6%
5500 1
1.6%
4940 1
1.6%
3690 1
1.6%
3430 1
1.6%
1210 1
1.6%
630 1
1.6%

2020-04-07
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)57.1%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean37424.762
Minimum0
Maximum654920
Zeros10
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:39.340199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q34170
95-th percentile98100
Maximum654920
Range654920
Interquartile range (IQR)4170

Descriptive statistics

Standard deviation143064.97
Coefficient of variation (CV)3.8227357
Kurtosis19.940159
Mean37424.762
Median Absolute Deviation (MAD)80
Skewness4.4312095
Sum785920
Variance2.0467587 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:39.419721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
 
15.9%
98100 1
 
1.6%
654920 1
 
1.6%
4170 1
 
1.6%
8390 1
 
1.6%
1730 1
 
1.6%
8740 1
 
1.6%
80 1
 
1.6%
7150 1
 
1.6%
800 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 10
15.9%
80 1
 
1.6%
630 1
 
1.6%
800 1
 
1.6%
1210 1
 
1.6%
1730 1
 
1.6%
4170 1
 
1.6%
7150 1
 
1.6%
8390 1
 
1.6%
8740 1
 
1.6%
ValueCountFrequency (%)
654920 1
1.6%
98100 1
1.6%
8740 1
1.6%
8390 1
1.6%
7150 1
1.6%
4170 1
1.6%
1730 1
1.6%
1210 1
1.6%
800 1
1.6%
630 1
1.6%

2020-04-06
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)61.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean38430
Minimum0
Maximum655100
Zeros9
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:39.500696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q35520
95-th percentile98100
Maximum655100
Range655100
Interquartile range (IQR)5520

Descriptive statistics

Standard deviation142908.54
Coefficient of variation (CV)3.7186713
Kurtosis19.917554
Mean38430
Median Absolute Deviation (MAD)80
Skewness4.4271905
Sum807030
Variance2.0422851 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:39.586564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
 
14.3%
98100 1
 
1.6%
655100 1
 
1.6%
10 1
 
1.6%
2090 1
 
1.6%
19130 1
 
1.6%
14400 1
 
1.6%
8740 1
 
1.6%
80 1
 
1.6%
5520 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 9
14.3%
10 1
 
1.6%
80 1
 
1.6%
630 1
 
1.6%
780 1
 
1.6%
2090 1
 
1.6%
2450 1
 
1.6%
5520 1
 
1.6%
8740 1
 
1.6%
14400 1
 
1.6%
ValueCountFrequency (%)
655100 1
1.6%
98100 1
1.6%
19130 1
1.6%
14400 1
1.6%
8740 1
1.6%
5520 1
1.6%
2450 1
1.6%
2090 1
1.6%
780 1
1.6%
630 1
1.6%

2020-04-05
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)61.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean39833.333
Minimum0
Maximum655280
Zeros9
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:39.666770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2120
Q38700
95-th percentile97220
Maximum655280
Range655280
Interquartile range (IQR)8700

Descriptive statistics

Standard deviation142656.19
Coefficient of variation (CV)3.581327
Kurtosis19.897206
Mean39833.333
Median Absolute Deviation (MAD)2120
Skewness4.4231234
Sum836500
Variance2.0350789 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:39.743931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
 
14.3%
97220 1
 
1.6%
655280 1
 
1.6%
12620 1
 
1.6%
2120 1
 
1.6%
31410 1
 
1.6%
3200 1
 
1.6%
5530 1
 
1.6%
3540 1
 
1.6%
14400 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 9
14.3%
30 1
 
1.6%
2120 1
 
1.6%
2450 1
 
1.6%
3200 1
 
1.6%
3540 1
 
1.6%
5530 1
 
1.6%
8700 1
 
1.6%
12620 1
 
1.6%
14400 1
 
1.6%
ValueCountFrequency (%)
655280 1
1.6%
97220 1
1.6%
31410 1
1.6%
14400 1
1.6%
12620 1
1.6%
8700 1
1.6%
5530 1
1.6%
3540 1
1.6%
3200 1
1.6%
2450 1
1.6%

2020-04-04
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)66.7%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean39971.905
Minimum0
Maximum654260
Zeros8
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:39.821678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2930
Q38240
95-th percentile90770
Maximum654260
Range654260
Interquartile range (IQR)8240

Descriptive statistics

Standard deviation142164.51
Coefficient of variation (CV)3.5566109
Kurtosis20.043521
Mean39971.905
Median Absolute Deviation (MAD)2930
Skewness4.4435565
Sum839410
Variance2.0210748 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:39.905250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
 
12.7%
90770 1
 
1.6%
654260 1
 
1.6%
5610 1
 
1.6%
2120 1
 
1.6%
31410 1
 
1.6%
8240 1
 
1.6%
7030 1
 
1.6%
11050 1
 
1.6%
1780 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 8
12.7%
1780 1
 
1.6%
2120 1
 
1.6%
2930 1
 
1.6%
5610 1
 
1.6%
7030 1
 
1.6%
7080 1
 
1.6%
7600 1
 
1.6%
8240 1
 
1.6%
9530 1
 
1.6%
ValueCountFrequency (%)
654260 1
1.6%
90770 1
1.6%
31410 1
1.6%
11050 1
1.6%
9530 1
1.6%
8240 1
1.6%
7600 1
1.6%
7080 1
1.6%
7030 1
1.6%
5610 1
1.6%

2020-04-03
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)66.7%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean39982.381
Minimum0
Maximum655320
Zeros8
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:39.993834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1780
Q310840
95-th percentile90770
Maximum655320
Range655320
Interquartile range (IQR)10840

Descriptive statistics

Standard deviation142390.7
Coefficient of variation (CV)3.5613361
Kurtosis20.05461
Mean39982.381
Median Absolute Deviation (MAD)1780
Skewness4.4451095
Sum839630
Variance2.0275111 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:40.074751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
 
12.7%
90770 1
 
1.6%
655320 1
 
1.6%
2140 1
 
1.6%
22320 1
 
1.6%
21900 1
 
1.6%
670 1
 
1.6%
7030 1
 
1.6%
11050 1
 
1.6%
1780 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 8
12.7%
670 1
 
1.6%
740 1
 
1.6%
1780 1
 
1.6%
2140 1
 
1.6%
7030 1
 
1.6%
7470 1
 
1.6%
7600 1
 
1.6%
10840 1
 
1.6%
11050 1
 
1.6%
ValueCountFrequency (%)
655320 1
1.6%
90770 1
1.6%
22320 1
1.6%
21900 1
1.6%
11050 1
1.6%
10840 1
1.6%
7600 1
1.6%
7470 1
1.6%
7030 1
1.6%
2140 1
1.6%

2020-04-02
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)57.1%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean38370
Minimum0
Maximum652330
Zeros10
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:40.159657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median740
Q37070
95-th percentile90740
Maximum652330
Range652330
Interquartile range (IQR)7070

Descriptive statistics

Standard deviation142061.78
Coefficient of variation (CV)3.7024181
Kurtosis20.061163
Mean38370
Median Absolute Deviation (MAD)740
Skewness4.446856
Sum805770
Variance2.018155 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:40.245971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
 
15.9%
90740 1
 
1.6%
652330 1
 
1.6%
2220 1
 
1.6%
21900 1
 
1.6%
3640 1
 
1.6%
5550 1
 
1.6%
1770 1
 
1.6%
8970 1
 
1.6%
7070 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 10
15.9%
740 1
 
1.6%
1770 1
 
1.6%
2220 1
 
1.6%
3640 1
 
1.6%
5550 1
 
1.6%
7070 1
 
1.6%
8970 1
 
1.6%
10840 1
 
1.6%
21900 1
 
1.6%
ValueCountFrequency (%)
652330 1
1.6%
90740 1
1.6%
21900 1
1.6%
10840 1
1.6%
8970 1
1.6%
7070 1
1.6%
5550 1
1.6%
3640 1
1.6%
2220 1
1.6%
1770 1
1.6%

2020-04-01
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)61.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean7397.1429
Minimum0
Maximum90740
Zeros9
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:40.328990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median870
Q35490
95-th percentile20950
Maximum90740
Range90740
Interquartile range (IQR)5490

Descriptive statistics

Standard deviation19776.268
Coefficient of variation (CV)2.6735008
Kurtosis17.826042
Mean7397.1429
Median Absolute Deviation (MAD)870
Skewness4.1205636
Sum155340
Variance3.9110076 × 108
MonotonicityNot monotonic
2024-04-18T04:30:40.406419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
 
14.3%
90740 1
 
1.6%
2220 1
 
1.6%
1680 1
 
1.6%
20950 1
 
1.6%
270 1
 
1.6%
3640 1
 
1.6%
6570 1
 
1.6%
3490 1
 
1.6%
8580 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 9
14.3%
270 1
 
1.6%
870 1
 
1.6%
1680 1
 
1.6%
2220 1
 
1.6%
3490 1
 
1.6%
3640 1
 
1.6%
5490 1
 
1.6%
6570 1
 
1.6%
8580 1
 
1.6%
ValueCountFrequency (%)
90740 1
1.6%
20950 1
1.6%
10840 1
1.6%
8580 1
1.6%
6570 1
1.6%
5490 1
1.6%
3640 1
1.6%
3490 1
1.6%
2220 1
1.6%
1680 1
1.6%

2020-03-31
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)76.2%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean7113.3333
Minimum0
Maximum77310
Zeros6
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:40.484362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1760
Q37460
95-th percentile18100
Maximum77310
Range77310
Interquartile range (IQR)7460

Descriptive statistics

Standard deviation16787.651
Coefficient of variation (CV)2.3600259
Kurtosis17.173944
Mean7113.3333
Median Absolute Deviation (MAD)1760
Skewness4.0129509
Sum149380
Variance2.8182521 × 108
MonotonicityNot monotonic
2024-04-18T04:30:40.575858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
 
9.5%
1850 1
 
1.6%
18100 1
 
1.6%
9040 1
 
1.6%
70 1
 
1.6%
7460 1
 
1.6%
11130 1
 
1.6%
1760 1
 
1.6%
77310 1
 
1.6%
350 1
 
1.6%
Other values (6) 6
 
9.5%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 6
9.5%
70 1
 
1.6%
270 1
 
1.6%
350 1
 
1.6%
1680 1
 
1.6%
1760 1
 
1.6%
1850 1
 
1.6%
2460 1
 
1.6%
3640 1
 
1.6%
5930 1
 
1.6%
ValueCountFrequency (%)
77310 1
1.6%
18100 1
1.6%
11130 1
1.6%
9040 1
1.6%
8330 1
1.6%
7460 1
1.6%
5930 1
1.6%
3640 1
1.6%
2460 1
1.6%
1850 1
1.6%

2020-03-30
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)52.4%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean5554.7619
Minimum0
Maximum72090
Zeros11
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:40.674015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32460
95-th percentile16890
Maximum72090
Range72090
Interquartile range (IQR)2460

Descriptive statistics

Standard deviation15816.461
Coefficient of variation (CV)2.8473697
Kurtosis17.674917
Mean5554.7619
Median Absolute Deviation (MAD)0
Skewness4.1021332
Sum116650
Variance2.5016044 × 108
MonotonicityNot monotonic
2024-04-18T04:30:40.757640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 11
 
17.5%
72090 1
 
1.6%
8330 1
 
1.6%
2460 1
 
1.6%
5750 1
 
1.6%
1760 1
 
1.6%
100 1
 
1.6%
7460 1
 
1.6%
780 1
 
1.6%
1030 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 11
17.5%
100 1
 
1.6%
780 1
 
1.6%
1030 1
 
1.6%
1760 1
 
1.6%
2460 1
 
1.6%
5750 1
 
1.6%
7460 1
 
1.6%
8330 1
 
1.6%
16890 1
 
1.6%
ValueCountFrequency (%)
72090 1
1.6%
16890 1
1.6%
8330 1
1.6%
7460 1
1.6%
5750 1
1.6%
2460 1
1.6%
1760 1
1.6%
1030 1
1.6%
780 1
1.6%
100 1
1.6%

2020-03-29
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)57.1%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean36350.952
Minimum0
Maximum653650
Zeros10
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:40.840607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median630
Q36250
95-th percentile54790
Maximum653650
Range653650
Interquartile range (IQR)6250

Descriptive statistics

Standard deviation141961.51
Coefficient of variation (CV)3.9053037
Kurtosis20.643846
Mean36350.952
Median Absolute Deviation (MAD)630
Skewness4.5293848
Sum763370
Variance2.0153069 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:40.922011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
 
15.9%
54790 1
 
1.6%
653650 1
 
1.6%
4780 1
 
1.6%
1680 1
 
1.6%
1530 1
 
1.6%
8830 1
 
1.6%
4270 1
 
1.6%
630 1
 
1.6%
6250 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 10
15.9%
630 1
 
1.6%
1530 1
 
1.6%
1680 1
 
1.6%
4270 1
 
1.6%
4780 1
 
1.6%
6250 1
 
1.6%
8830 1
 
1.6%
10070 1
 
1.6%
16890 1
 
1.6%
ValueCountFrequency (%)
653650 1
1.6%
54790 1
1.6%
16890 1
1.6%
10070 1
1.6%
8830 1
1.6%
6250 1
1.6%
4780 1
1.6%
4270 1
1.6%
1680 1
1.6%
1530 1
1.6%

2020-03-28
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)52.4%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean5500.9524
Minimum0
Maximum54790
Zeros11
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:40.998383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35430
95-th percentile16890
Maximum54790
Range54790
Interquartile range (IQR)5430

Descriptive statistics

Standard deviation12426.576
Coefficient of variation (CV)2.2589863
Kurtosis13.316595
Mean5500.9524
Median Absolute Deviation (MAD)0
Skewness3.4588188
Sum115520
Variance1.5441979 × 108
MonotonicityNot monotonic
2024-04-18T04:30:41.085199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 11
 
17.5%
54790 1
 
1.6%
5430 1
 
1.6%
2390 1
 
1.6%
1680 1
 
1.6%
20 1
 
1.6%
10540 1
 
1.6%
7450 1
 
1.6%
1140 1
 
1.6%
15190 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 11
17.5%
20 1
 
1.6%
1140 1
 
1.6%
1680 1
 
1.6%
2390 1
 
1.6%
5430 1
 
1.6%
7450 1
 
1.6%
10540 1
 
1.6%
15190 1
 
1.6%
16890 1
 
1.6%
ValueCountFrequency (%)
54790 1
1.6%
16890 1
1.6%
15190 1
1.6%
10540 1
1.6%
7450 1
1.6%
5430 1
1.6%
2390 1
1.6%
1680 1
1.6%
1140 1
1.6%
20 1
1.6%

2020-03-27
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)47.6%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean3810
Minimum0
Maximum54790
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:41.182223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3360
95-th percentile16890
Maximum54790
Range54790
Interquartile range (IQR)360

Descriptive statistics

Standard deviation12281.958
Coefficient of variation (CV)3.2236111
Kurtosis16.638216
Mean3810
Median Absolute Deviation (MAD)0
Skewness3.9920566
Sum80010
Variance1.508465 × 108
MonotonicityNot monotonic
2024-04-18T04:30:41.277275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 12
 
19.0%
54790 1
 
1.6%
5650 1
 
1.6%
850 1
 
1.6%
1330 1
 
1.6%
20 1
 
1.6%
80 1
 
1.6%
360 1
 
1.6%
40 1
 
1.6%
16890 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 12
19.0%
20 1
 
1.6%
40 1
 
1.6%
80 1
 
1.6%
360 1
 
1.6%
850 1
 
1.6%
1330 1
 
1.6%
5650 1
 
1.6%
16890 1
 
1.6%
54790 1
 
1.6%
ValueCountFrequency (%)
54790 1
 
1.6%
16890 1
 
1.6%
5650 1
 
1.6%
1330 1
 
1.6%
850 1
 
1.6%
360 1
 
1.6%
80 1
 
1.6%
40 1
 
1.6%
20 1
 
1.6%
0 12
19.0%

2020-03-26
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)47.6%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean6889.0476
Minimum0
Maximum54790
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:41.356820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37490
95-th percentile21160
Maximum54790
Range54790
Interquartile range (IQR)7490

Descriptive statistics

Standard deviation13017.126
Coefficient of variation (CV)1.8895393
Kurtosis9.1010486
Mean6889.0476
Median Absolute Deviation (MAD)0
Skewness2.7898995
Sum144670
Variance1.6944557 × 108
MonotonicityNot monotonic
2024-04-18T04:30:41.428984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 12
 
19.0%
54790 1
 
1.6%
1420 1
 
1.6%
3170 1
 
1.6%
15710 1
 
1.6%
16850 1
 
1.6%
21160 1
 
1.6%
7490 1
 
1.6%
7190 1
 
1.6%
16890 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 12
19.0%
1420 1
 
1.6%
3170 1
 
1.6%
7190 1
 
1.6%
7490 1
 
1.6%
15710 1
 
1.6%
16850 1
 
1.6%
16890 1
 
1.6%
21160 1
 
1.6%
54790 1
 
1.6%
ValueCountFrequency (%)
54790 1
 
1.6%
21160 1
 
1.6%
16890 1
 
1.6%
16850 1
 
1.6%
15710 1
 
1.6%
7490 1
 
1.6%
7190 1
 
1.6%
3170 1
 
1.6%
1420 1
 
1.6%
0 12
19.0%

2020-03-25
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)66.7%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean37542.857
Minimum0
Maximum654330
Zeros8
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:41.518269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1710
Q38340
95-th percentile54790
Maximum654330
Range654330
Interquartile range (IQR)8340

Descriptive statistics

Standard deviation141855.96
Coefficient of variation (CV)3.7785073
Kurtosis20.635718
Mean37542.857
Median Absolute Deviation (MAD)1710
Skewness4.5279194
Sum788400
Variance2.0123113 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:41.615178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
 
12.7%
54790 1
 
1.6%
654330 1
 
1.6%
1710 1
 
1.6%
7000 1
 
1.6%
10340 1
 
1.6%
10 1
 
1.6%
8340 1
 
1.6%
16850 1
 
1.6%
3520 1
 
1.6%
Other values (4) 4
 
6.3%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 8
12.7%
10 1
 
1.6%
410 1
 
1.6%
1710 1
 
1.6%
3520 1
 
1.6%
6750 1
 
1.6%
7000 1
 
1.6%
7460 1
 
1.6%
8340 1
 
1.6%
10340 1
 
1.6%
ValueCountFrequency (%)
654330 1
1.6%
54790 1
1.6%
16890 1
1.6%
16850 1
1.6%
10340 1
1.6%
8340 1
1.6%
7460 1
1.6%
7000 1
1.6%
6750 1
1.6%
3520 1
1.6%

2020-03-24
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)52.4%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean36270.476
Minimum0
Maximum654730
Zeros11
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:41.702755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37000
95-th percentile54790
Maximum654730
Range654730
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation142244.3
Coefficient of variation (CV)3.9217654
Kurtosis20.633109
Mean36270.476
Median Absolute Deviation (MAD)0
Skewness4.5277236
Sum761680
Variance2.023344 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:41.786456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 11
 
17.5%
54790 1
 
1.6%
654730 1
 
1.6%
1710 1
 
1.6%
7000 1
 
1.6%
14800 1
 
1.6%
150 1
 
1.6%
2930 1
 
1.6%
7460 1
 
1.6%
1220 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 11
17.5%
150 1
 
1.6%
1220 1
 
1.6%
1710 1
 
1.6%
2930 1
 
1.6%
7000 1
 
1.6%
7460 1
 
1.6%
14800 1
 
1.6%
16890 1
 
1.6%
54790 1
 
1.6%
ValueCountFrequency (%)
654730 1
1.6%
54790 1
1.6%
16890 1
1.6%
14800 1
1.6%
7460 1
1.6%
7000 1
1.6%
2930 1
1.6%
1710 1
1.6%
1220 1
1.6%
150 1
1.6%

2020-03-23
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)52.4%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean36632.381
Minimum0
Maximum654990
Zeros11
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:41.866182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37120
95-th percentile54790
Maximum654990
Range654990
Interquartile range (IQR)7120

Descriptive statistics

Standard deviation142237.9
Coefficient of variation (CV)3.8828463
Kurtosis20.621616
Mean36632.381
Median Absolute Deviation (MAD)0
Skewness4.5259222
Sum769280
Variance2.0231621 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:41.940176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 11
 
17.5%
54790 1
 
1.6%
654990 1
 
1.6%
2300 1
 
1.6%
22940 1
 
1.6%
150 1
 
1.6%
2930 1
 
1.6%
11060 1
 
1.6%
7360 1
 
1.6%
5640 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 11
17.5%
150 1
 
1.6%
2300 1
 
1.6%
2930 1
 
1.6%
5640 1
 
1.6%
7120 1
 
1.6%
7360 1
 
1.6%
11060 1
 
1.6%
22940 1
 
1.6%
54790 1
 
1.6%
ValueCountFrequency (%)
654990 1
1.6%
54790 1
1.6%
22940 1
1.6%
11060 1
1.6%
7360 1
1.6%
7120 1
1.6%
5640 1
1.6%
2930 1
1.6%
2300 1
1.6%
150 1
1.6%

2020-03-22
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)50.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean40701.5
Minimum0
Maximum655350
Zeros11
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:42.028394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37415
95-th percentile84628
Maximum655350
Range655350
Interquartile range (IQR)7415

Descriptive statistics

Standard deviation145640.49
Coefficient of variation (CV)3.5782585
Kurtosis19.38372
Mean40701.5
Median Absolute Deviation (MAD)0
Skewness4.3774823
Sum814030
Variance2.1211152 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:42.108289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 11
 
17.5%
54520 1
 
1.6%
655350 1
 
1.6%
5640 1
 
1.6%
5510 1
 
1.6%
54590 1
 
1.6%
22940 1
 
1.6%
60 1
 
1.6%
8300 1
 
1.6%
7120 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 11
17.5%
60 1
 
1.6%
5510 1
 
1.6%
5640 1
 
1.6%
7120 1
 
1.6%
8300 1
 
1.6%
22940 1
 
1.6%
54520 1
 
1.6%
54590 1
 
1.6%
655350 1
 
1.6%
ValueCountFrequency (%)
655350 1
 
1.6%
54590 1
 
1.6%
54520 1
 
1.6%
22940 1
 
1.6%
8300 1
 
1.6%
7120 1
 
1.6%
5640 1
 
1.6%
5510 1
 
1.6%
60 1
 
1.6%
0 11
17.5%

2020-03-21
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)50.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean37381.5
Minimum0
Maximum654730
Zeros11
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:42.203180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36025
95-th percentile74907
Maximum654730
Range654730
Interquartile range (IQR)6025

Descriptive statistics

Standard deviation145685.44
Coefficient of variation (CV)3.8972605
Kurtosis19.758704
Mean37381.5
Median Absolute Deviation (MAD)0
Skewness4.4348746
Sum747630
Variance2.1224248 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:42.282253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 11
 
17.5%
44390 1
 
1.6%
654730 1
 
1.6%
5660 1
 
1.6%
5510 1
 
1.6%
15970 1
 
1.6%
30 1
 
1.6%
140 1
 
1.6%
14080 1
 
1.6%
7120 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 11
17.5%
30 1
 
1.6%
140 1
 
1.6%
5510 1
 
1.6%
5660 1
 
1.6%
7120 1
 
1.6%
14080 1
 
1.6%
15970 1
 
1.6%
44390 1
 
1.6%
654730 1
 
1.6%
ValueCountFrequency (%)
654730 1
 
1.6%
44390 1
 
1.6%
15970 1
 
1.6%
14080 1
 
1.6%
7120 1
 
1.6%
5660 1
 
1.6%
5510 1
 
1.6%
140 1
 
1.6%
30 1
 
1.6%
0 11
17.5%

2020-03-20
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)55.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean37089
Minimum0
Maximum655090
Zeros10
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:42.358776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q36895
95-th percentile74925
Maximum655090
Range655090
Interquartile range (IQR)6895

Descriptive statistics

Standard deviation145821.29
Coefficient of variation (CV)3.9316588
Kurtosis19.770193
Mean37089
Median Absolute Deviation (MAD)10
Skewness4.4367199
Sum741780
Variance2.1263849 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:42.436713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 10
 
15.9%
44390 1
 
1.6%
655090 1
 
1.6%
5660 1
 
1.6%
3190 1
 
1.6%
30 1
 
1.6%
20 1
 
1.6%
11130 1
 
1.6%
130 1
 
1.6%
11540 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 10
15.9%
20 1
 
1.6%
30 1
 
1.6%
130 1
 
1.6%
3190 1
 
1.6%
5660 1
 
1.6%
10600 1
 
1.6%
11130 1
 
1.6%
11540 1
 
1.6%
44390 1
 
1.6%
ValueCountFrequency (%)
655090 1
1.6%
44390 1
1.6%
11540 1
1.6%
11130 1
1.6%
10600 1
1.6%
5660 1
1.6%
3190 1
1.6%
130 1
1.6%
30 1
1.6%
20 1
1.6%

2020-03-19
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)42.1%
Missing44
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean38212.105
Minimum0
Maximum655080
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:42.511084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32405
95-th percentile105459
Maximum655080
Range655080
Interquartile range (IQR)2405

Descriptive statistics

Standard deviation149743.42
Coefficient of variation (CV)3.9187431
Kurtosis18.783619
Mean38212.105
Median Absolute Deviation (MAD)0
Skewness4.3248732
Sum726030
Variance2.2423093 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:42.590438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 12
 
19.0%
44390 1
 
1.6%
655080 1
 
1.6%
4720 1
 
1.6%
20 1
 
1.6%
11130 1
 
1.6%
90 1
 
1.6%
10600 1
 
1.6%
(Missing) 44
69.8%
ValueCountFrequency (%)
0 12
19.0%
20 1
 
1.6%
90 1
 
1.6%
4720 1
 
1.6%
10600 1
 
1.6%
11130 1
 
1.6%
44390 1
 
1.6%
655080 1
 
1.6%
ValueCountFrequency (%)
655080 1
 
1.6%
44390 1
 
1.6%
11130 1
 
1.6%
10600 1
 
1.6%
4720 1
 
1.6%
90 1
 
1.6%
20 1
 
1.6%
0 12
19.0%

2020-03-18
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)47.6%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean36376.19
Minimum0
Maximum654590
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:42.666070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35090
95-th percentile44390
Maximum654590
Range654590
Interquartile range (IQR)5090

Descriptive statistics

Standard deviation142117.48
Coefficient of variation (CV)3.906882
Kurtosis20.680985
Mean36376.19
Median Absolute Deviation (MAD)0
Skewness4.5342168
Sum763900
Variance2.0197379 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:42.740953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 12
 
19.0%
44390 1
 
1.6%
654590 1
 
1.6%
4010 1
 
1.6%
10 1
 
1.6%
29790 1
 
1.6%
90 1
 
1.6%
5090 1
 
1.6%
15330 1
 
1.6%
10600 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 12
19.0%
10 1
 
1.6%
90 1
 
1.6%
4010 1
 
1.6%
5090 1
 
1.6%
10600 1
 
1.6%
15330 1
 
1.6%
29790 1
 
1.6%
44390 1
 
1.6%
654590 1
 
1.6%
ValueCountFrequency (%)
654590 1
 
1.6%
44390 1
 
1.6%
29790 1
 
1.6%
15330 1
 
1.6%
10600 1
 
1.6%
5090 1
 
1.6%
4010 1
 
1.6%
90 1
 
1.6%
10 1
 
1.6%
0 12
19.0%

2020-03-17
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)42.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean4120
Minimum0
Maximum43420
Zeros11
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:42.823673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile29790
Maximum43420
Range43420
Interquartile range (IQR)30

Descriptive statistics

Standard deviation11256.725
Coefficient of variation (CV)2.7322148
Kurtosis8.3802771
Mean4120
Median Absolute Deviation (MAD)0
Skewness2.9719571
Sum86520
Variance1.2671386 × 108
MonotonicityNot monotonic
2024-04-18T04:30:42.895830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 11
 
17.5%
10 2
 
3.2%
20 2
 
3.2%
43420 1
 
1.6%
29790 1
 
1.6%
260 1
 
1.6%
30 1
 
1.6%
2360 1
 
1.6%
10600 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 11
17.5%
10 2
 
3.2%
20 2
 
3.2%
30 1
 
1.6%
260 1
 
1.6%
2360 1
 
1.6%
10600 1
 
1.6%
29790 1
 
1.6%
43420 1
 
1.6%
ValueCountFrequency (%)
43420 1
 
1.6%
29790 1
 
1.6%
10600 1
 
1.6%
2360 1
 
1.6%
260 1
 
1.6%
30 1
 
1.6%
20 2
 
3.2%
10 2
 
3.2%
0 11
17.5%

2020-03-16
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)45.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean37675.5
Minimum0
Maximum653290
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:42.966238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32845
95-th percentile73913.5
Maximum653290
Range653290
Interquartile range (IQR)2845

Descriptive statistics

Standard deviation145374.89
Coefficient of variation (CV)3.8586056
Kurtosis19.695933
Mean37675.5
Median Absolute Deviation (MAD)0
Skewness4.4249913
Sum753510
Variance2.113386 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:43.042786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 12
 
19.0%
43420 1
 
1.6%
653290 1
 
1.6%
20 1
 
1.6%
29790 1
 
1.6%
16100 1
 
1.6%
260 1
 
1.6%
30 1
 
1.6%
10600 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 12
19.0%
20 1
 
1.6%
30 1
 
1.6%
260 1
 
1.6%
10600 1
 
1.6%
16100 1
 
1.6%
29790 1
 
1.6%
43420 1
 
1.6%
653290 1
 
1.6%
ValueCountFrequency (%)
653290 1
 
1.6%
43420 1
 
1.6%
29790 1
 
1.6%
16100 1
 
1.6%
10600 1
 
1.6%
260 1
 
1.6%
30 1
 
1.6%
20 1
 
1.6%
0 12
19.0%

2020-03-15
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)42.9%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean36165.238
Minimum0
Maximum654880
Zeros13
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:43.118341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36480
95-th percentile43420
Maximum654880
Range654880
Interquartile range (IQR)6480

Descriptive statistics

Standard deviation142223.81
Coefficient of variation (CV)3.932611
Kurtosis20.686974
Mean36165.238
Median Absolute Deviation (MAD)0
Skewness4.5351001
Sum759470
Variance2.0227613 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:43.194946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 13
 
20.6%
43420 1
 
1.6%
654880 1
 
1.6%
6480 1
 
1.6%
29790 1
 
1.6%
16100 1
 
1.6%
10 1
 
1.6%
20 1
 
1.6%
8770 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 13
20.6%
10 1
 
1.6%
20 1
 
1.6%
6480 1
 
1.6%
8770 1
 
1.6%
16100 1
 
1.6%
29790 1
 
1.6%
43420 1
 
1.6%
654880 1
 
1.6%
ValueCountFrequency (%)
654880 1
 
1.6%
43420 1
 
1.6%
29790 1
 
1.6%
16100 1
 
1.6%
8770 1
 
1.6%
6480 1
 
1.6%
20 1
 
1.6%
10 1
 
1.6%
0 13
20.6%

2020-03-14
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)33.3%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean35094.762
Minimum0
Maximum654920
Zeros14
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:43.271724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile43420
Maximum654920
Range654920
Interquartile range (IQR)10

Descriptive statistics

Standard deviation142461.46
Coefficient of variation (CV)4.059337
Kurtosis20.698761
Mean35094.762
Median Absolute Deviation (MAD)0
Skewness4.5370864
Sum736990
Variance2.0295269 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:43.646461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
 
22.2%
10 2
 
3.2%
43420 1
 
1.6%
654920 1
 
1.6%
29790 1
 
1.6%
70 1
 
1.6%
8770 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 14
22.2%
10 2
 
3.2%
70 1
 
1.6%
8770 1
 
1.6%
29790 1
 
1.6%
43420 1
 
1.6%
654920 1
 
1.6%
ValueCountFrequency (%)
654920 1
 
1.6%
43420 1
 
1.6%
29790 1
 
1.6%
8770 1
 
1.6%
70 1
 
1.6%
10 2
 
3.2%
0 14
22.2%

2020-03-13
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)47.6%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean35343.333
Minimum0
Maximum654500
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:43.727731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33220
95-th percentile39680
Maximum654500
Range654500
Interquartile range (IQR)3220

Descriptive statistics

Standard deviation142253.33
Coefficient of variation (CV)4.0248986
Kurtosis20.735775
Mean35343.333
Median Absolute Deviation (MAD)0
Skewness4.5425225
Sum742210
Variance2.0236011 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:43.804597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 12
 
19.0%
39680 1
 
1.6%
654500 1
 
1.6%
5720 1
 
1.6%
3220 1
 
1.6%
20 1
 
1.6%
29790 1
 
1.6%
430 1
 
1.6%
80 1
 
1.6%
8770 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 12
19.0%
20 1
 
1.6%
80 1
 
1.6%
430 1
 
1.6%
3220 1
 
1.6%
5720 1
 
1.6%
8770 1
 
1.6%
29790 1
 
1.6%
39680 1
 
1.6%
654500 1
 
1.6%
ValueCountFrequency (%)
654500 1
 
1.6%
39680 1
 
1.6%
29790 1
 
1.6%
8770 1
 
1.6%
5720 1
 
1.6%
3220 1
 
1.6%
430 1
 
1.6%
80 1
 
1.6%
20 1
 
1.6%
0 12
19.0%

2020-03-12
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)47.6%
Missing42
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean35104.762
Minimum0
Maximum653900
Zeros12
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:43.880227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3530
95-th percentile39510
Maximum653900
Range653900
Interquartile range (IQR)530

Descriptive statistics

Standard deviation142170.62
Coefficient of variation (CV)4.0498956
Kurtosis20.73554
Mean35104.762
Median Absolute Deviation (MAD)0
Skewness4.5425042
Sum737200
Variance2.0212486 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:43.956102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 12
 
19.0%
39510 1
 
1.6%
653900 1
 
1.6%
20 1
 
1.6%
4230 1
 
1.6%
530 1
 
1.6%
29790 1
 
1.6%
400 1
 
1.6%
50 1
 
1.6%
8770 1
 
1.6%
(Missing) 42
66.7%
ValueCountFrequency (%)
0 12
19.0%
20 1
 
1.6%
50 1
 
1.6%
400 1
 
1.6%
530 1
 
1.6%
4230 1
 
1.6%
8770 1
 
1.6%
29790 1
 
1.6%
39510 1
 
1.6%
653900 1
 
1.6%
ValueCountFrequency (%)
653900 1
 
1.6%
39510 1
 
1.6%
29790 1
 
1.6%
8770 1
 
1.6%
4230 1
 
1.6%
530 1
 
1.6%
400 1
 
1.6%
50 1
 
1.6%
20 1
 
1.6%
0 12
19.0%

2020-03-11
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)35.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean35360
Minimum0
Maximum654310
Zeros14
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:44.035301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile62289
Maximum654310
Range654310
Interquartile range (IQR)20

Descriptive statistics

Standard deviation145880.57
Coefficient of variation (CV)4.1255818
Kurtosis19.875185
Mean35360
Median Absolute Deviation (MAD)0
Skewness4.4527042
Sum707200
Variance2.1281141 × 1010
MonotonicityNot monotonic
2024-04-18T04:30:44.112537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
 
22.2%
31130 1
 
1.6%
654310 1
 
1.6%
10 1
 
1.6%
14180 1
 
1.6%
50 1
 
1.6%
7520 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 14
22.2%
10 1
 
1.6%
50 1
 
1.6%
7520 1
 
1.6%
14180 1
 
1.6%
31130 1
 
1.6%
654310 1
 
1.6%
ValueCountFrequency (%)
654310 1
 
1.6%
31130 1
 
1.6%
14180 1
 
1.6%
7520 1
 
1.6%
50 1
 
1.6%
10 1
 
1.6%
0 14
22.2%

2020-03-10
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)40.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean2551.5
Minimum0
Maximum31080
Zeros13
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:44.186626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile15025
Maximum31080
Range31080
Interquartile range (IQR)40

Descriptive statistics

Standard deviation7489.4918
Coefficient of variation (CV)2.9353289
Kurtosis12.106351
Mean2551.5
Median Absolute Deviation (MAD)0
Skewness3.4157866
Sum51030
Variance56092487
MonotonicityNot monotonic
2024-04-18T04:30:44.262223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 13
 
20.6%
31080 1
 
1.6%
70 1
 
1.6%
280 1
 
1.6%
30 1
 
1.6%
14180 1
 
1.6%
20 1
 
1.6%
5370 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 13
20.6%
20 1
 
1.6%
30 1
 
1.6%
70 1
 
1.6%
280 1
 
1.6%
5370 1
 
1.6%
14180 1
 
1.6%
31080 1
 
1.6%
ValueCountFrequency (%)
31080 1
 
1.6%
14180 1
 
1.6%
5370 1
 
1.6%
280 1
 
1.6%
70 1
 
1.6%
30 1
 
1.6%
20 1
 
1.6%
0 13
20.6%

2020-03-09
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)30.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean17274
Minimum0
Maximum294810
Zeros15
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:44.339158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312.5
95-th percentile44266.5
Maximum294810
Range294810
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation65751.009
Coefficient of variation (CV)3.8063569
Kurtosis19.398501
Mean17274
Median Absolute Deviation (MAD)0
Skewness4.3812243
Sum345480
Variance4.3231952 × 109
MonotonicityNot monotonic
2024-04-18T04:30:44.420255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 15
 
23.8%
31080 1
 
1.6%
294810 1
 
1.6%
14170 1
 
1.6%
50 1
 
1.6%
5370 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 15
23.8%
50 1
 
1.6%
5370 1
 
1.6%
14170 1
 
1.6%
31080 1
 
1.6%
294810 1
 
1.6%
ValueCountFrequency (%)
294810 1
 
1.6%
31080 1
 
1.6%
14170 1
 
1.6%
5370 1
 
1.6%
50 1
 
1.6%
0 15
23.8%

2020-03-08
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)30.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean3403
Minimum0
Maximum31060
Zeros15
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:44.495092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q327.5
95-th percentile18035.5
Maximum31060
Range31060
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation8155.6433
Coefficient of variation (CV)2.396604
Kurtosis6.8865419
Mean3403
Median Absolute Deviation (MAD)0
Skewness2.6408445
Sum68060
Variance66514517
MonotonicityNot monotonic
2024-04-18T04:30:44.571702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 15
 
23.8%
31060 1
 
1.6%
14170 1
 
1.6%
17350 1
 
1.6%
110 1
 
1.6%
5370 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 15
23.8%
110 1
 
1.6%
5370 1
 
1.6%
14170 1
 
1.6%
17350 1
 
1.6%
31060 1
 
1.6%
ValueCountFrequency (%)
31060 1
 
1.6%
17350 1
 
1.6%
14170 1
 
1.6%
5370 1
 
1.6%
110 1
 
1.6%
0 15
23.8%

2020-03-07
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)35.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean3220
Minimum0
Maximum31010
Zeros14
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:44.647886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile18033
Maximum31010
Range31010
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8141.5549
Coefficient of variation (CV)2.5284332
Kurtosis7.1869863
Mean3220
Median Absolute Deviation (MAD)0
Skewness2.7156066
Sum64400
Variance66284916
MonotonicityNot monotonic
2024-04-18T04:30:44.725844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
 
22.2%
31010 1
 
1.6%
10 1
 
1.6%
14170 1
 
1.6%
17350 1
 
1.6%
30 1
 
1.6%
1830 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 14
22.2%
10 1
 
1.6%
30 1
 
1.6%
1830 1
 
1.6%
14170 1
 
1.6%
17350 1
 
1.6%
31010 1
 
1.6%
ValueCountFrequency (%)
31010 1
 
1.6%
17350 1
 
1.6%
14170 1
 
1.6%
1830 1
 
1.6%
30 1
 
1.6%
10 1
 
1.6%
0 14
22.2%

2020-03-06
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)35.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean6657.5
Minimum0
Maximum86040
Zeros14
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:44.802175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360
95-th percentile33695
Maximum86040
Range86040
Interquartile range (IQR)60

Descriptive statistics

Standard deviation20102.165
Coefficient of variation (CV)3.0194765
Kurtosis14.197235
Mean6657.5
Median Absolute Deviation (MAD)0
Skewness3.672714
Sum133150
Variance4.0409704 × 108
MonotonicityNot monotonic
2024-04-18T04:30:44.878540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
 
22.2%
30940 1
 
1.6%
86040 1
 
1.6%
14170 1
 
1.6%
150 1
 
1.6%
30 1
 
1.6%
1820 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 14
22.2%
30 1
 
1.6%
150 1
 
1.6%
1820 1
 
1.6%
14170 1
 
1.6%
30940 1
 
1.6%
86040 1
 
1.6%
ValueCountFrequency (%)
86040 1
 
1.6%
30940 1
 
1.6%
14170 1
 
1.6%
1820 1
 
1.6%
150 1
 
1.6%
30 1
 
1.6%
0 14
22.2%

2020-03-05
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)35.0%
Missing43
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean5582
Minimum0
Maximum64540
Zeros14
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-18T04:30:44.953420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q352.5
95-th percentile32620
Maximum64540
Range64540
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation15734.048
Coefficient of variation (CV)2.8187115
Kurtosis11.2154
Mean5582
Median Absolute Deviation (MAD)0
Skewness3.2888529
Sum111640
Variance2.4756026 × 108
MonotonicityNot monotonic
2024-04-18T04:30:45.034495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
 
22.2%
30940 1
 
1.6%
64540 1
 
1.6%
14170 1
 
1.6%
150 1
 
1.6%
20 1
 
1.6%
1820 1
 
1.6%
(Missing) 43
68.3%
ValueCountFrequency (%)
0 14
22.2%
20 1
 
1.6%
150 1
 
1.6%
1820 1
 
1.6%
14170 1
 
1.6%
30940 1
 
1.6%
64540 1
 
1.6%
ValueCountFrequency (%)
64540 1
 
1.6%
30940 1
 
1.6%
14170 1
 
1.6%
1820 1
 
1.6%
150 1
 
1.6%
20 1
 
1.6%
0 14
22.2%

2020-03-04
Categorical

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
43 
0
17 
30900
 
1
14170
 
1
100
 
1

Length

Max length5
Median length4
Mean length3.2063492
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row30900
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
68.3%
0 17
 
27.0%
30900 1
 
1.6%
14170 1
 
1.6%
100 1
 
1.6%

Length

2024-04-18T04:30:45.128616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:45.214293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
68.3%
0 17
 
27.0%
30900 1
 
1.6%
14170 1
 
1.6%
100 1
 
1.6%

2020-03-03
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
45 
0
14 
30860
 
1
10
 
1
14170
 
1

Length

Max length5
Median length4
Mean length3.3015873
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row30860
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
71.4%
0 14
 
22.2%
30860 1
 
1.6%
10 1
 
1.6%
14170 1
 
1.6%
90 1
 
1.6%

Length

2024-04-18T04:30:45.312572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:45.399960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
71.4%
0 14
 
22.2%
30860 1
 
1.6%
10 1
 
1.6%
14170 1
 
1.6%
90 1
 
1.6%

2020-03-02
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
45 
0
15 
30840
 
1
10
 
1
30
 
1

Length

Max length5
Median length4
Mean length3.2380952
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st row30840
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
71.4%
0 15
 
23.8%
30840 1
 
1.6%
10 1
 
1.6%
30 1
 
1.6%

Length

2024-04-18T04:30:45.511484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:45.594604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
71.4%
0 15
 
23.8%
30840 1
 
1.6%
10 1
 
1.6%
30 1
 
1.6%

2020-03-01
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
45 
0
16 
30810
 
1
80
 
1

Length

Max length5
Median length4
Mean length3.2222222
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row30810
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
71.4%
0 16
 
25.4%
30810 1
 
1.6%
80 1
 
1.6%

Length

2024-04-18T04:30:45.686440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:30:45.774827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
71.4%
0 16
 
25.4%
30810 1
 
1.6%
80 1
 
1.6%

Sample

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