PyBank - Background

Create a Python script to analyze the financial records of a company that will be provided as data set called [budget_data.csv]. The dataset is composed of two columns: Date and Profit/Losses.

The Python script will analyze the financial 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 change in "Profit/Losses" between months 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

Result:

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

PyPoll - Background

Create a Python script to analyze and modernize the vote-counting process for a small, rural town using a set of poll data called [election_data.csv]. The dataset is composed of three columns: Voter ID, County, and Candidate.

The Python script will analyze the votes and calculate 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

Result:

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

Tips

• Import modules like csv; to read and write files in various formats
• Store contents in variables, lists, and dictionaries
• Iterate through basic data structures