python-challenge

PyBank

In this challenge, I received a set of financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses.
My 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 total net 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
The output is as below:

Financial Analysis
------------------------------------
Total Months: 86
Total: 38382578.00
Average Change: $-2315.12
Greatest Increase in Profits: Feb-2012 ($1926159.00)
Greatest Decrease in Profits: Sep-2013 ($-2196167.00)

The final script prints the analysis to the terminal and exports the investigation to a text file.

PyPoll

In this challenge, I have the task of helping a small, rural town modernize its vote-counting process.
I received a set of poll data called election_data.csv. The dataset comprises three columns: Voter ID, County, and Candidate. My 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.

My analysis is:

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

sean-galloway/python-challenge

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