Data Analysis - Exploring and Summarizing Hillary 2016 Contribution Data

02/10/2016 11:42

This is a good example of data analysis:

 

Project 3: Exploring and Summarizing Hillary 2016 Contribution Data

In this project, I conduct exploratory data analysis on the 2016 presidential campaign contribution data of Hillary Rodham Clinton, from April 1st to July 1st 2015. My goal is to find new insights in the dataset and identify avenues for further investigation.

Hillary Clinton 2016

 

Exploratory Data Analysis of the Hillary Rodham Clinton 2016 campaign from April to July 2016 identified several avenues for further investigation.

1. Contributions by occupation (nationwide)

Contributions by occupation (nationwide)

The average contributions to the campaign differ substantially across occupations.

The retired, unemployed, professors and physicians all have very low median contributions, with some outliers in the $2000-2700 range.

CEOs, homemakers and presidents have a median equal to the contribution limit. Attorneys, lawyers, and consultants do not make high median contributions but there is very significant variance. This is likely because some of these contributors are employed by major law and consulting firms who may even endorse and cover their contributions, whereas others are part of a smaller partnership and cover the contribution out of pocket.

The variance may also be indicative of the U-shaped distribution of salaries in the legal professions.

2. Contributions by employer (nationwide)

Contributions by employer (nationwide)

Link: https://github.com/seifip/udacity-data-analyst-nanodegree/tree/master/P4%20-%20Explore%20and%20Summarize%20Data