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Python Homework - Py Me Up, Charlie

PyPoll

Vote Counting

  • In this challenge, you are tasked with helping a small, rural town modernize its vote counting process.

  • You will be give 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:

    • 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.

  • As an example, your analysis should look similar to the one below:

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

  • In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyBank

Revenue

  • In this challenge, you are tasked with creating a Python script for analyzing the financial records of your company. You will give a set of financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses. (Thankfully, your company has rather lax standards for accounting so the records are simple.)

  • Your task is to create a Python script that analyzes 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

  • As an example, your analysis should look similar to the one below:

    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)

  • 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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