In this challenge I created a Python script for analyzing the financial records of a company. I used 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 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
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 helping an imaginary rural town modernize its vote counting process.
I used a dataset 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.