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Using Plotly, Pandas, and data from https://github.com/CSSEGISandData/COVID-19 to generate a map of new COVID-19 cases within a specified timeframe

License: MIT License

Jupyter Notebook 100.00%
coronavirus python-3 python3 jupyter-notebook jupyter covid-19 covid19

covid19-new-case-tracker's Introduction

COVID19-New-Case-Tracker

Using Plotly, Pandas, and data from https://github.com/CSSEGISandData/COVID-19 to generate a map of new COVID-19 cases within a timeframe

To run locally:

  1. Install Plotly (https://plot.ly/python/getting-started/ , also follow the Jupyter Notebook support section)
  2. Install Pandas (https://pandas.pydata.org/getting_started.html)
  3. Install Jupyter (https://jupyter.org/install)
  4. Run Jupyter wherever you put Tracker.ipynb

To run online:

  1. Go to https://notebooks.azure.com/Thorinori/projects/covid-19-new-case-tracker
  2. Clone the Azure Repo
  3. Press "Run on Free Compute"

Shared Info: To generate a map for a timeframe, use generate_new_map(start, end) where start and end are strings formatted "1/22/20" (mm/dd/yy).

If you want to see the total number of cases instead of the new cases within a period of time, set start and end to the same date.

Example Output:

Example Map

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