PyBank

In this challenge, I was tasked with creating a Python script for analyzing the financial records of my company given a set of financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses.

• I created a Python script that analyzed 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

  • 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

PyPoll

In this challenge, I was tasked with helping a small, rural town modernize its vote-counting process. (Up until now, Uncle Cleetus had been trustfully tallying them one-by-one, but unfortunately, his concentration isn't what it used to be.) I was given a set of poll data called election_data.csv. The dataset is composed of three columns: Voter ID, County, and Candidate.

• I created 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.