![]() ![]() Load the data directly into a Pandas DataFrame. To parse the data, you first must download it: Data about COVID-19 cases is available online, and it's updated frequently. Scientific data isn't always open, but fortunately, many modern science and healthcare organizations are eager to share information with each other and the public. Projecting confirmed cases and deaths for India ![]() Humans sometimes need help interpreting and processing the meaning of data, so this article also demonstrates how to create an animated horizontal bar graph for five countries, showing the variation of cases by date. Using Python and some graphing libraries, you can project the total number of confirmed cases of COVID-19, and also display the total number of deaths for a country (this article uses India as an example) on a given date. ![]()
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