This repo is for analysis on the corona virus / covid-19 that will extract the latest data and generate reports. This repo will be updated daily

• Creates a time series dataset
• Creates a daily stats dataset
• Generates a number of visualizations
• You can also filter reports for a given country
• Generates an excel report including all of the above
• List all countries affected by covid-19
• All results are saved to the output reports folder

• checkout the kanban boards to see work in progress

• pip install covidify

How to run:

$ covidify
Usage: covidify [OPTIONS] COMMAND [ARGS]...

  ☣  COVIDIFY ☣

   - use the most up-to-date data to generate reports of 
     confirmed cases, fatalities and recoveries.

Options:
  --help  Show this message and exit.

Commands:
  list  List all the countries that have confirmed cases.
  run   Generate reports for global cases or refine by country.

$ covidify run --help
Usage: covidify run [OPTIONS]

Options:
  --output TEXT   Folder to output data and reports [Default:
                  /Users/award40/Desktop/covidify-output/]
  --source TEXT   There are two datasources to choose from, John Hopkins
                  github repo or wikipedia -- options are git or wiki
                  respectively [Default: git]
  --country TEXT  Filter reports by a country [Default: Global cases]
  --help          Show this message and exit.

Example Commands:

# Will default to desktop folder 
# for output and github for datasource
covidify run 

# Specify output folder and source
covidify run --output=/Users/award40/Documents/projects-folder --source=git

# Filter reports by country
covidify run --country="South Korea"

# List all countries affected 
covidify list --countries

This plots will be updated daily to visualize stats 3 attributes:

• confirmed cases
• deaths
• recoveries

This is an accumulative sum trendline for all the confirmed cases, deaths and recoveries.

This is a daily sum trendline for all the confirmed cases, deaths and recoveries.

This stacked bar chart shows a daily sum of people who are currently confirmed (red) and the number of people who have been been confirmed on that day (blue)

A count for new cases recorded on that given date, does not take past confirmations into account.

A count for deaths due to the virus recorded on that given date, does not take past deaths into account.

A count for new recoveries recorded on that given date, does not take past recoveries into account.

A count for all the people who are currently infected for a given date (confirmed cases - (recoveries + deaths))

• The data comes from the Novel Coronavirus (COVID-19) Cases, which is a live dataset provided by JHU CSSE.
• Data available here.

• Written by me (Aaron Ward - https://www.linkedin.com/in/aaronjward/)
• A special thank you to the JHU CSSE team for maintaining the data