covidify 0.1.12

Stay up to date with corona virus data - Download and generate reports

covid-19-analysis

What does it do?

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
• All results are saved to the output reports folder

To-do list

• checkout the kanban boards to see work in progress

NOTICE:

• You may have noticed that here are some discrepancies in the JHU data.
• These discrepancies include rows for countries missing for some sheets, misspelling of country names and countries being named differently (South Korea, Republic of Korea for example)
• I am doing my best to update the preprocessing code to fix these problems. Please be patient and I will release the newest version of covidify ASAP

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Installation

• 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:
  run

$ 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 

# Will default to desktop folder for output
covidify run --source=wiki   

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

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

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Visualization of data

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

• confirmed cases
• deaths
• recoveries

Trend Line

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

Daily Trend Line

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

Stacked Daily Confirmed Cases

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)

Daily Confirmed Cases

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

Daily Deaths

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

Daily Recoveries

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

Currently Infected

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

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Data Source

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

Appendix

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