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Visualizations
Alexis Ambriz edited this page Aug 9, 2022
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Using the data available gathered through either Epi or Genomic data functions, we can create informative visualizations that tell us a story about the spread of SARS-CoV-2 and the development of the virus.
Using the plot_cases_by_location, you can create plots of historical and recent trends in the amount of confirmed SARS-CoV-2 cases.
- Required argument: location (a string or list of strings)
- Optional argument: smoothed (Default True plots rolling averaged data)
- Optional argument: past_num_days (If not None, filters data to past x num days.)
Returns: An altair plot.
state_list = ['USA_US-WA', 'USA_US-CA', 'USA_US-NY', 'USA_US-LA']
cases = outbreak_visualizations.plot_cases_by_location(state_list, past_num_days=76)
cases