Stat 477/777 Spring Q3
Final Project
Introduction
The goal of this final project is to give you a chance to use the various data skills acquired during the course, to analyze a dataset and present a report.
The dataset (“project_477_777.csv”) has two possible y-variables and you can choose either of them to analyze.
They are:
1. Health index. To be treated as a continuous variable.
2. Majority of Democrat or Republican votes in the 2016 presidential election. Treated as a twolevel categorical variable.
Background
The data concerns health, economic and demographic characteristics measured at the county level in the US. The unit of analysis is the county. Though it is not necessary to review, if you are interested in the data source it is https://www.countyhealthrankings.org/ Many of the variables are reported on a percentage basis and measure the extent to which a variable is present in a county. For example, the column called Percent.Female records the percentage of females in each county. Most of the variables are self-explanatory, like “Life expectancy”, but a data dictionary is provided for your reference. Deliverables You will create a Jupyter notebook that contains all your work, and you will save it as either an HTML presentation using Reveal.js or as a single HTML file using the File->Download as->HTML from the Jupyter File menu. The two deliverables are the Jupyter notebook and the HTML file.
This project is meant as a creative and open exercise. The goal is to tell an interesting story based on the data and accompany it with clear and relevant graphical output. One approach to this task is to imagine that you have a 15-minute presentation to put together that comprises about 20 slides (including subslides). So, you would want to present interesting findings that keep your audience engaged. Slides that are simply full of code, are not very interesting compared to slides with graphics and narrative elements.
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