In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process....
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In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process. You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values: The total number of votes cast A complete list of candidates who received votes The percentage of votes each candidate won The total number of votes each candidate won The winner of the election based on popular vote Your analysis should align with the following results: Election Results Total Votes: 369711 Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606) Winner: Diana DeGette In addition, your final script should both print the analysis to the terminal and export a text file with the results. In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process. You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values: The total number of votes cast A complete list of candidates who received votes The percentage of votes each candidate won The total number of votes each candidate won The winner of the election based on popular vote Your analysis should align with the following results: Election Results Total Votes: 369711 Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606) Winner: Diana DeGette In addition, your final script should both print the analysis to the terminal and export a text file with the results.
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Cornerstones of Financial and Managerial Accounting
ISBN: 978-1111879044
2nd edition
Authors: Rich, Jeff Jones, Dan Heitger, Maryanne Mowen, Don Hansen
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