PyBank

For the first challenge, I was tasked with creating a Python script for analyzing the financial records of a company. I was given a set of financial data called budget_data.csv. The dataset was composed of two columns: Date and Profit/Losses. My task was 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 net total amount of "Profit/Losses" over the entire period
• Calculate the changes in "Profit/Losses" over the entire period, then find 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
• In addition, the final script printed the analysis to the terminal and exported a text file with the results.

PyPoll

• In this challenge, I was tasked with helping a small, rural town modernize its vote counting process. I was given a set of poll data called election_data.csv. The dataset was composed of three columns: Voter ID, County, and Candidate. My task was to create a Python script that analyzed the votes and calculated 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. In addition, the final script printed the analysis to the terminal and exported a text file with the results.