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Pt1 Analyze company financial data for profit & loss information. Pt2 Analyze election data to help a small, rural town modernize its vote-counting process. Both using built in Python modules.

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SavannahWithAnH/PyPoll-PyBank

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PyPoll-PyBank

PyBank

Given a set of financial data called budget_data.csv., I was asked to use Python to detemine the following:

  • 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

Analysis Preview
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Financial Analysis Results

Total Months: 86
Total: $22564198
Average Change: $-8311.11
Greatest Increase in Profits: Aug-16 ($1862002)
Greatest Decrease in Profits: Feb-14 ($-1825558)

PyPoll

Given a set of poll data called election_data.csv, I was asked to use Python to detemine 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

Analysis Preview
image

Election Analysis Results

Total Votes: 369711
Charles Casper Stockham: 23.049% (85213)
Diana DeGette: 73.812% (272892)
Raymon Anthony Doane: 3.139% (11606)
Winner: Diana DeGette




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Pt1 Analyze company financial data for profit & loss information. Pt2 Analyze election data to help a small, rural town modernize its vote-counting process. Both using built in Python modules.

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