In 2016, the Zika virus epidemic hit the Americas.
The file data/zika.csv contains data from the Center for Disease Control (CDC) tracking the number of confirmed cases of zika infection in the region during the epidemic.
Using Jupyter and Bokeh, create an interactive visualization of the number of zika cases by country for one of the timepoints present in the data.
Use circles which are proportional in size to the number of cases.
Use tooltips which display the country name and the number of cases.
The structure of the data is very similar to the fireball data from the lesson.
You should be able to re-use a lot of code from the lesson.
The 'Cases' field contains the number of confirmed cases.
The 'X' and 'Y' fields contain the map coordinates.
The 'Country' field contains the country name.
The 'Date' field contains the timepoint. Choose one timepoint and filter the dataframe to only use this one value.
To view only the Americas region on the map, use an x_range of (-11627260, -5627261) and a y_range of (-2724688, 3275312)
Can you add a slider to choose the timepoint?
sorted(list(set(zika["Date"])))
can be used to get a list of timepoints for using with the slider.