py-me-up-charlie's Introduction

Py Me Up, Charlie - Python Analysis of Financial Records and Vote Counting

PyBank

Created a Python script for analyzing the financial records of a company from a CSV file containing Date and Profit/Losses columns.

The Python script calculated 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

Formatted the output analysis to appear as:

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

PyPoll

Helped a small, rural town modernize its vote-counting process using a CSV set of poll data composed of Voter ID, County, and Candidate columns.

Created 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.

Formatted the output analysis to appear as:

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