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Financial Records and Voting Results analyses using Python

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Py Me Up, Charlie

PyBank

Revenue

  • Analyze the records to calculate each of the following:

    • The total number of months included in the dataset

    • The net total amount of "Profit/Losses" over the entire period

    • The average of the changes in "Profit/Losses" over the entire period

    • The greatest increase in profits (date and amount) over the entire period

    • The greatest decrease in losses (date and amount) over the entire period

  • Analysis:

    Financial Analysis
    ----------------------------
    Total Months: 86
    Total: $38382578
    Average  Change: $-2315.12
    Greatest Increase in Profits: Feb-2012 ($1926159)
    Greatest Decrease in Profits: Sep-2013 ($-2196167)
    

PyPoll

Vote-Counting

*Help a small, rural town modernize its vote-counting process, using python to analyzes the votes and calculate:

  • 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.

  • Analysis:

    Election Results
    -------------------------
    Total Votes: 3521001
    -------------------------
    Khan: 63.000% (2218231)
    Correy: 20.000% (704200)
    Li: 14.000% (492940)
    O'Tooley: 3.000% (105630)
    -------------------------
    Winner: Khan
    -------------------------
    

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