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cs180_final [2021/04/01 23:13]
wingated
cs180_final [2021/04/01 23:16]
wingated
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 **Note that no late submissions are possible for this project, because it is done in lieu of the final exam.** **Note that no late submissions are possible for this project, because it is done in lieu of the final exam.**
 +
  
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-====Dataset:====+====Description:====
  
 For your final project, you must analyze the ANES dataset used in class. ​ As a reminder, this dataset captures the political landscape of 2016, and includes a wide variety of demographic and political variables. For your final project, you must analyze the ANES dataset used in class. ​ As a reminder, this dataset captures the political landscape of 2016, and includes a wide variety of demographic and political variables.
  
-The dataset is available at+For your project, I expect you to produce a significant report that leverages the skills and concepts we have learned in class. ​ Your job is to analyze the ANES dataset ​and find interesting patterns. ​ The goal of your writeup should be to /convey insight/. This is typically done with careful analysis, statistical rigor, and appropriate visualizations. ​ Different people will find different things!
  
-[[http://​liftothers.org/​byu/​anes2016.csv]] +Your final report must be structured as follows:
- +
-and the codebook is available at: +
- +
-[[http://​liftothers.org/​byu/​anes_codebook.pdf]] +
- +
-For more information about the ANES, you may also visit their official website: +
- +
-[[https://​electionstudies.org/​data-center/​2016-time-series-study/​]] +
- +
----- +
-====Description:​==== +
- +
-For your project, I expect you to produce a significant report that leverages the skills and concepts we have learned in class.  ​Your final report must be structured as follows:+
  
   * Introduction - summarize interesting insights you uncovered   * Introduction - summarize interesting insights you uncovered
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   * Visualizing histograms (or KDE plots) of different factors   * Visualizing histograms (or KDE plots) of different factors
   * Clustering ANES individuals based on different factors (and/or distance measures)   * Clustering ANES individuals based on different factors (and/or distance measures)
 +
 +----
 +====Dataset:​====
 +
 +The dataset is available at
 +
 +[[http://​liftothers.org/​byu/​anes2016.csv]]
 +
 +and the codebook is available at:
 +
 +[[http://​liftothers.org/​byu/​anes_codebook.pdf]]
 +
 +For more information about the ANES, you may also visit their official website:
 +
 +[[https://​electionstudies.org/​data-center/​2016-time-series-study/​]]
  
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cs180_final.txt · Last modified: 2021/06/30 23:42 (external edit)