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Using Pandas and Matplotlib on COVID-19 Data

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Item Summary

Title:Using Pandas and Matplotlib on COVID-19 Data
Authors:de Anda, Christian
Date Issued:Nov 2020
Publisher:University of Hawaiʻi — West Oʻahu
Abstract: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.
Description:A student presentation to the Fall 2020 Student Research and Creative Works Symposium
Pages/Duration:1 page
URI:http://hdl.handle.net/10790/5706
Rights:Attribution-NonCommercial-NoDerivs 3.0 United States
http://creativecommons.org/licenses/by-nc-nd/3.0/us/
Appears in Collections: Fall 2020


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