Python Challenge - Financial and Voting Analysis

This repository contains Python scripts that analyze financial and voting datasets to generate insightful reports.

Datasets:

1. Financial Data (budget_data.csv): Contains the financial records of a company, with two columns: "Date" and "Profit/Losses".
2. Election Data (election_data.csv): Consists of vote records, with three columns: "Voter ID", "County", and "Candidate".

PyBank (main.py inside PyBank folder): Analyzes the financial records to provide:

• Total number of months in the dataset.
• Net total amount of "Profit/Losses" over the entire period.
• Average change in "Profit/Losses" over the entire period.
• Greatest increase in profits (date and amount) over the entire period.
• Greatest decrease in profits (date and amount) over the entire period.

PyPoll (main.py inside PyPoll folder): Analyzes the voting records to determine:

• Total number of votes cast.
• List of candidates who received votes.
• Percentage of votes each candidate won.
• Total number of votes each candidate won.
• Winner of the election based on popular vote.