This was our first Python assignment for the Data Analysis and Visualization boot camp. I wrote two scripts for this assignment.
PyBank
I was tasked with creating a Python script for analyzing financial records. I was given two sets of revenue data (budget_data_1.csv and budget_data_2.csv). Each dataset was composed of two columns: Date and Revenue.
I needed 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 total amount of revenue gained over the entire period
- The average change in revenue between months over the entire period
- The greatest increase in revenue (date and amount) over the entire period
- The greatest decrease in revenue (date and amount) over the entire period
PyPoll
I was tasked with creating a vote-counting Python script. I was given two sets of poll data (election_data_1.csv and election_data_2.csv). Each dataset is composed of three columns: Voter ID, County, and Candidate. I needed to create a Python script that analyzed the votes and calculates 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.