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Election_Analysis

Overview of Election Audit

Background

Client has asked for an analysis of election results that will inform the audit conducted by the Colorado Board of Elections.

Purpose

To create a Python script with election results.

Election-Audit Results

  • Number of votes cast in this congressional election

There was a total of 369,711 votes cast.

  • Breakdown of the number of votes and the percentage of total votes for each county in the precinct
County Percent of votes Total votes
Jefferson 10.5% 38,855
Denver 82.8% 306,055
Arapahoe 6.7% 24,801

The county name was extracted using the script shown in Image 1.

Image 1. County Names

Extract_county_row

  • The county that had the largest number of votes

Denver had the largest number of votes with an 82.8% and 306,055 total votes.

  • Breakdown of the number of votes and the percentage of the total votes each candidate received
Candidate Percent of votes Total votes
Charles Casper Stockham 23.0% 85,213
Diana DeGette 73.8% 272,892
Raymon Anthony Doane 3.1% 11,606

The breakdown of the county votes and percentages was calculated using the scripts in Image 2 and Image 3.

Image 2. Votes and Percentages

Loop

Image 3. County Votes and Percentages

If_statement

  • Candidate who won the election

Diana DeGette was the the winner of the election based on popular votes with a winning percentage of 73.8% and 272,892 votes.

Election-Audit Summary

The Python script created for this election audit can be used for any election as long as the data in available. The script contains blank lists and dictionaries as well as statements allowing analyzation of other elections (See Image 4). The script can be modified to audit the votes and percentages of law proposals at the state or local level. The script can also be modified to audit votes and percentages for governor elections or state representatives.

Image 4. Blank Lists and Dictionaries

blank_dictionaries_lists

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Created a Python script to analyze election results

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