*In this challenge, I was tasked with creating a Python script for analyzing the financial records of company. I got a set of financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses.
*I 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
*In this challenge, I was tasked with helping a small, rural town modernize its vote-counting process.
*I got 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 analyzes 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.