PyBank

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:

• The total number of months included in the dataset

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

• The changes in "Profit/Losses" over the entire period, and then the average of those changes

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

• 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)

PyPoll

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:

• 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.

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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