Using Pandas and Matplotlib on COVID-19 Data

dc.contributor.author	de Anda, Christian
dc.date.accessioned	2021-05-24T17:12:12Z
dc.date.available	2021-05-24T17:12:12Z
dc.date.issued	2020-11
dc.description	A student presentation to the Fall 2020 Student Research and Creative Works Symposium
dc.description.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.
dc.format.extent	1 page
dc.identifier.uri	http://hdl.handle.net/10790/5706
dc.language.iso	English
dc.publisher	University of Hawaiʻi — West Oʻahu
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.title	Using Pandas and Matplotlib on COVID-19 Data
dc.type	Presentation
dc.type.dcmi	text

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