Created a Python script to analyze the financial dataset called budget_data.csv, which is composed of two columns: "Date" and "Profit/Losses".
Each of the following were calculated:
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The total number of months included in the dataset
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The net total amount of "Profit/Losses" over the entire period
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The changes in "Profit/Losses" over the entire period, and then the average of those changes
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The greatest increase in profits (date and amount) over the entire period
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The greatest decrease in profits (date and amount) over the entire period
My analysis:
Financial Analysis
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Total Months: 86
Total: $22564198
Average Change: $-8311.11
Greatest Increase in Profits: Aug-16 ($1862002)
Greatest Decrease in Profits: Feb-14 ($-1825558)
Created a Python script to analyze the poll dataset called election_data.csv, which is composed of three columns: "Voter ID", "County", and "Candidate".
Each of the following were calculated:
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The total number of votes cast
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A complete list of candidates who received votes
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The percentage of votes each candidate won
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The total number of votes each candidate won
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The winner of the election based on popular vote.
My analysis:
Election Results
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Total Votes: 369711
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Charles Casper Stockham: 23.049% (85213)
Diana DeGette: 73.812% (272892)
Raymon Anthony Doane: 3.139% (11606)
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Winner: Diana DeGette
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