DATASET YOU WILL BE USING: https://resources-covid19canada.hub.arcgis.com/datasets/4dabb4afab874804ba121536efaaacb4_0/explore?filters=eyJwcm92aW5jZV9hYmJyIjpbIk9OIiwiQUIiLCJRQyJdLCJhZ2VfZ3JvdXAiOlsiODArIiwiNzAtNzkiLCI2MC02OSIsIjUwLTU5IiwiNDAtNDkiLCIzMC0zOSIsIjwyMCIsIjIwLTI5Il0sImdlbmRlciI6WyJGZW1hbGUiLCJNYWxlIl0sInByb3ZpbmNlIjpbIk1hbml0b2JhIiwiQnJpdGlzaCBDb2x1bWJpYSIsIkFsYmVydGEiLCJRdWViZWMiLCJPbnRhcmlvIl0sImNhc2Vfc3RhdHVzIjpbIkRlY2Vhc2VkIiwiQWN0aXZlIiwiTm90IFJlcG9ydGVkIiwiUmVjb3ZlcmVkIl19&showTable=true

step 1: what you need to do (please explain everything you do )

* collect data

* analyze the data

* data preperation

* create data visualizations

* results

• The main contribution of the work compared to this past research by : Crimmins, E. M. (2020). Age-related vulnerability to coronavirus disease 2019 (COVID-19): Biological, contextual, and policy-related factors. Public Policy & Aging Report, 30(4), 142-146. https://doi.org/10.1093/ppar/praa023

also step 2: RESEARCH QUESTIONS you need to answer as well : How many confirmed cases, deaths, and recoveries are there in total?

using these machine learnings Classification, Regression, Time Series Forecasting, Clustering, Anomaly Detection, Dimensionality Reduction answer these research questions:

• Which regions or provinces have the highest number of confirmed cases, deaths, and recoveries?
• Is there any correlation between age, gender, and the severity of COVID-19 cases?
• How does the mortality rate vary across different age groups and genders?
• what is the highest Exposer type between close contact, travel-related, outbreak, and community?
• Are there any spatial clusters or hotspots of COVID-19 cases?
• what are the COVID-19 outcomes of mortality, for patients based on their demographic information, pre-existing conditions, symptoms, and geographic location?