Instructions
This project involves COVID-19 data from Johns Hopkins University’s github as well as pandas and geopandas, and their dependency libraries, which are provided in a Jupyter Notebook file. The primary objective is to reproduce the example output presented, but it must display the most current data available at any time period your code is executed. The structure, format, and the type of information must be the same. This includes the date/number formats, line spacing, and indentation.
What will not be identical to the example output are the COVID-19 statistics since the cumulative total of cases changes daily and your code will always pull the most recent data available online (the URL is provided in the Jupyter Notebook). This flexible program must report COVID-19 information for any state whenever a user inputs one in the prompt and is accomplished by regularly referencing variables as needed rather than hard typing specific values.
This is an applied research project, with a good amount of time being spent researching documentation that ranges from how to format numeric values in a print function to debugging syntax and semantic errors. Keep in mind this project involves actual reported data and the output values should make logical sense.
Your code should contain at least six comments with brief documentation statements throughout the script. This is to give the reviewer an idea of what certain lines of code will be doing. Use appropriate variable names as you code so it can be seamlessly understood when it is reviewed (abbreviations are acceptable, one letter variable names are not acceptable).
Your final code must be inside one code cell with the output shown below it in the provided Jupyter Notebook file. Submit your Jupyter Notebook file and the PDF version to Blackboard.
This is an individual project that must be completed by yourself. You may reuse code from your past assignments as needed.
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