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Data Science in Action

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Abstract

In this chapter, we will introduce the case study of the book, which analyzes voters’ data in the state of Maine. It is based on a project I did at Harvard University in 2016 during my master’s degree. In fall 2016, the project for my “A Practical Approach to Data Science” course was to predict the presidential election results in every state. The project was under the guidance and supervision of Professor Larry Adams, who set the project milestones and requirements. I was responsible for forecasting Maine’s outcome for the 2016 and 2020 elections.

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Notes

  1. 1.

    Data source: http://www.cnn.com/election/results/exit-polls/maine/president

  2. 2.

    Data sources: https://ballotpedia.org/Maine_2000_ballot_measures https://ballotpedia.org/Maine_2004_ballot_measures https://ballotpedia.org/Maine_2008_ballot_measures https://ballotpedia.org/Maine_2012_ballot_measures https://ballotpedia.org/Maine_2016_ballot_measures

  3. 3.

    Data source: https://www.pressherald.com/2019/03/26/maine-incomes-up-4-3-percent-in-2018/

  4. 4.

    Data source: http://www.deptofnumbers.com/income/maine/

  5. 5.

    Data source: http://www.cnn.com/election/results/exit-polls/maine/president

  6. 6.

    Data source: https://bangordailynews.com/2016/11/09/politics/elections/clinton-leads-maine-but-trump-poised-to-take-one-electoral-vote/

  7. 7.

    Data source: https://ballotpedia.org/Presidential_election_in_Maine,_2016

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© 2020 Engy Fouda

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Fouda, E. (2020). Data Science in Action. In: Learn Data Science Using SAS Studio. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6237-5_1

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