Module 3 Challenge: PyBank and PyPoll. Both tasks present a real-world situation where your newly developed Python scripting skills come in handy.
In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".
Your task is to create a Python script that analyzes the records to calculate each of the following values:
The total number of months included in the dataset
The net total amount of "Profit/Losses" over the entire period
The changes in "Profit/Losses" over the entire period, and then 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
Analysis File: main.py
Results: financial_analysis_results.txt
In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.
You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:
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
Analysis File: main.py
Results: election_results.txt