| FazBrowse GitHub Viewer | Trending | | Home |
| Tools: [Download Repo ZIP] [Original HTTPS Page] |
| Name | Name | Last commit date | ||
|---|---|---|---|---|
Election Audit Analysis for the Colorado Board of Election.
Tom is a Colorado board of elections employee who needs assistance with automating the Election audit of the tabulated results for the US Congressional precinct in Colorado.
The US congressional race will be certified by the automated election audit with the following results:
Python Version 3.7.6
VS Code Version 1.62.3
The analysis of the automated process shows the follwing results
This automated process could also be used for primary,general and local elections, some modifications would be have to made for the following:
-*- coding: UTF-8 -*-
"""PyPoll Homework Challenge Solution."""
- Add our dependencies.
import csv
import os
# Add a variable to load a file from a path.
file_to_load = os.path.join("Resources", "election_results.csv")
# Add a variable to save the file to a path.
file_to_save = os.path.join("analysis", "election_analysis.txt")
# Initialize a total vote counter.
total_votes = 0
# Candidate Options and candidate votes.
candidate_options = []
candidate_votes = {}
# 1: Create a county list and county votes dictionary.
county_list = []
county_votes = {}
# Track the winning candidate, vote count and percentage
winning_candidate = ""
winning_count = 0
winning_percentage = 0
# 2: Track the largest county and county voter turnout.
county_largest = ""
county_turnout = 0
vote_percentage = 0
# Read the csv and convert it into a list of dictionaries
with open(file_to_load) as election_data:
reader = csv.reader(election_data)
# Read the header
header = next(reader)
# For each row in the CSV file.
for row in reader:
# Add to the total vote count
total_votes = total_votes + 1
# Get the candidate name from each row.
candidate_name = row[2]
# 3: Extract the county name from each row.
county_name = row[1]
# If the candidate does not match any existing candidate add it to
# the candidate list
if candidate_name not in candidate_options:
# Add the candidate name to the candidate list.
candidate_options.append(candidate_name)
# And begin tracking that candidate's voter count.
candidate_votes[candidate_name] = 0
# Add a vote to that candidate's count
candidate_votes[candidate_name] += 1
# 4a: Write an if statement that checks that the
# county does not match any existing county in the county list.
if county_name not in county_list:
# 4b: Add the existing county to the list of counties.
county_list.append(county_name)
# 4c: Begin tracking the county's vote count.
county_votes[county_name]=0
# 5: Add a vote to that county's vote count.
county_votes[county_name] += 1
# Save the results to our text file.
with open(file_to_save, "w") as txt_file:
# Print the final vote count (to terminal)
election_results = (
f"\nElection Results\n"
f"-------------------------\n"
f"Total Votes: {total_votes:,}\n"
f"-------------------------\n\n"
f"County Votes:\n")
print(election_results, end="")
txt_file.write(election_results)
# 6a: Write a for loop to get the county from the county dictionary.
for county_name in county_votes:
# 6b: Retrieve the county vote count.
votes = county_votes[county_name]
# 6c: Calculate the percentage of votes for the county.
vote_percentage = (votes/total_votes) * 100
# 6d: Print the county results to the terminal.
vote_results = (f"{county_name}: {vote_percentage:.1f}% ({votes:,})\n")
print(vote_results)
# 6e: Save the county votes to a text file.
txt_file.write(vote_results)
# 6f: Write an if statement to determine the winning county and get its vote count.
if (votes > county_turnout):
county_largest = county_name
county_turnout = votes
# 7: Print the county with the largest turnout to the terminal.
county_largest_summary = (
f"\n"
f"-------------------------\n"
f"Largest County Turnout: {county_largest}\n"
f"-------------------------\n")
print(county_largest_summary)
# 8: Save the county with the largest turnout to a text file.
txt_file.write(county_largest_summary)
# Save the final candidate vote count to the text file.
for candidate_name in candidate_votes:
# Retrieve vote count and percentage
votes = candidate_votes.get(candidate_name)
vote_percentage = float(votes) / float(total_votes) * 100
# Print each candidate's voter count and percentage to the terminal.
candidate_results_summary = (
f"{candidate_name}: {vote_percentage:.1f}% ({votes:,})\n")
print(candidate_results_summary)
# Save the candidate results to our text file.
txt_file.write(candidate_results_summary)
# Determine winning vote count, winning percentage, and candidate.
if (votes > winning_count) and (vote_percentage > winning_percentage):
winning_count = votes
winning_candidate = candidate_name
winning_percentage = vote_percentage
# Print the winning candidate (to terminal)
winning_candidate_summary = (
f"-------------------------\n"
f"Winner: {winning_candidate}\n"
f"Winning Vote Count: {winning_count:,}\n"
f"Winning Percentage: {winning_percentage:.1f}%\n"
f"-------------------------\n")
print(winning_candidate_summary)
# Save the winning candidate's name to the text file
txt_file.write(winning_candidate_summary)
| Back | FazBrowse Home | New Git URL |