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Using Pandas and Matplotlib on COVID-19 Data

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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.identifier.uri http://hdl.handle.net/10790/5706
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.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
Appears in Collections: Fall 2020


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