PyBank: A financial dataset called budget_data.csv is composed of two columns: "Date" and "Profit/Losses". The task is to create a Python script that analyzes the records to calculate each of the following values:

• 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

PyPoll: A set of poll data called election_data.csv is composed of three columns: "Voter ID", "County", and "Candidate". The task is to create a Python script that analyzes the votes and calculates each of the following values:

• 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