The purpose of this election audit analysis is providing the Colorado Board of Elections the results of the election winner and to take the skills learned from Module 3 and apply it in finding what county won the overall voting count. The purpose of this audit is to also further enhance our python skills and apply it to election voting data and provide an analysis as to what candidate won the election and the county won the election voting count.
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How many votes were cast in this congressional election?
In the congressional election there was a total of 369,711 election votes.
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Provide a breakdown of the number of votes and the percentage of total votes for each county in the precinct?
There were three counties in this election data. The first was the Jefferson County, which had 38,855 election votes and a 10.5% of the overall county votes. The second is the Denver County, which had the largest total county votes of 306,055 county votes and 82.8% of the county votes. Lastly, is the Arapahoe County, which had the least county votes of 24,801 county votes and 6.7% of the total county votes.
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Which county had the largest number of votes?
The Denver County had the largest number of votes totaling a astonishing 306,055 of the total 369,711 election votes.
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Provide a breakdown of the number of votes and the percentage of the total votes each candidate received?
They were three candidates that were on the election ballot. The first canidate is Charles Casper Stockham with 38,855 votes and 23% of the total votes. The second candidate is Diana DeGettte with the largest winning votes of 272,892 votes abd 73.8% of the total votes. Lasty, Raymind Anthony Doane who is the third candidate with 11,606 election votees ad 3.1% of the total votes.
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Which candidate won the election, what was their vote count, and what was their percentage of the total votes?
The winning candidate is Diana DeGette with the largest winning votes of 272,892 votes and 73.8% of the total votes.
The purpose of this analysis is to provide the Colorado Board of Elections the ruslts of the elections. Module 3 Python results from Congressional Election.
Executive Summary
This congressional election has provided the Colorado Board of Elections the results of the congressional winner and a very uniquely detailed overall county vote using python data. This data set has gathered a total of 369,711 congressional votes in over three counties. The python code used in collecting this data is unique, comprehensive, and provides an amazingly precise details on the election votes and percentages. In the future Congressional elections can use this data set can provide articulately detailed analysis on who will be the future congressional winner and how many votes were casted in the three counties of Colorado.
The Objective
The Colorado Board of Elections objective is to use this python data to gather future congressional winners and provide detailed analysis of who won with the most votes, the percentage of those votes, and lastly what county casted the most votes. This data can be modified for any future congressional elections and that would require that you add the new resources data along with a new name and changing the variables names. For example:
• changing the variables names of the county votes and dictionary names to match present or current csv files
• It is important that you change that row and headers in the python data to match the csv file, so no problems or errors occur.
The Mission
The Colorado Board of Elections mission is to make sure that everyone’s right to vote is exercised and that all votes are counted. Thanks to new technology and coding languages have taken the process of manually counting votes a thing of the past. With this unique python data, we can gather and provide extensive analysis on present and future congressional elections for the Colorado Board of Elections.