Toronto-COVID-19-Cases
OpenML dataset with id 43480
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102305/Toronto-COVID-19-Cases.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 17 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 14,911
Number of instances with missing values: 637
Number of missing values: 1,212
This data set contains demographic, geographic, and severity information for all confirmed and probable cases reported to and managed by Toronto Public Health since the first case was reported in January 2020. This includes cases that are sporadic (occurring in the community) and outbreak-associated. The data are extracted from the provincial communicable disease reporting system (iPHIS) and Toronto's custom COVID-19 case management system (CORES) and combined for reporting.
The data in this spreadsheet are subject to change as public health investigations into reported cases and continuous quality improvement initiatives are ongoing, and additional cases continue to be reported.
This page was built for dataset: Toronto-COVID-19-Cases
