Using Pandas and Matplotlib on COVID-19 Data

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2020-11
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de Anda, Christian
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University of Hawaiʻi — West Oʻahu
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With the internet flowing with data, there is a need to have it organized and formatted to be visually appealing. Lucky for us, by using Pandas and Matplotlib, we can modify and plot standard data from a CSV file to a more readable format with a visualization, in this case, the visualization is a line graph. Due to Covid-19 being a serious problem there is both a need for this data and an excess of this data available to the public. By utilizing this data, we can see information by dates, on who is tested positive, tested negative, deaths, hospitalized, and much more by state or even globally. By using python, specifically python libraries such as Pandas and Matplotlib, I will use raw data from covidtracking.com and adjust it and plot the data on a line graph.
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A student presentation to the Fall 2020 Student Research and Creative Works Symposium
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1 page
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Attribution-NonCommercial-NoDerivs 3.0 United States
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