The objective of this analysis is to assist Colorado Board of Elections employee with an election audit for a recent local congressional election following the steps below;
total_votes was set to 0 and iterated through each row and increments by 1A breakdown of the number of votes and the percentage of total votes for each county in the precinct was determined by creating a county list and county votes dictionary county_names = [] and
county_votes = {}and tracking the largest county and county voter turnout winning_county = ""
winning_votes = 0, as well as running a for loop to retrieve vote count and percentage, calculate the percentage of votes for the county using the script vote_percentage_county = float(votes_county)/float(total_votes) * 100 and printing the the county results using an f" stringfunction. An if statement was looped into the above for loopto determine the winning county and get its vote count
for loop above, the veriable winning_county was nested into the f" string (
f"------------------------------\n"
f"Largest County Turnout: {winning_county}\n"
f"------------------------------\n"
)
and the winning county was printed and saved to a .txt file.if statement was looped into another for loopto determine the number of votes and the percentage of the total votes each candidate received and initializing a varable candidate_results to be equal to an f" string the result was printed and saved to a .txt fileBelow is a breakdown of the election results
Election Results
## Election-Audit Summary
The python script written for this analysis can be used to perform analysis for other elections by;
row[i] in the for loop.f" string can also be formatted to show several election variables