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
- /PyBank/main.py
- /PyBank/analysis/budget_data_analysis.txt
- ReadMe
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
- /PyPoll/main.py
- /PyPoll/analysis/budelection_data_analysis.txt
- ReadMe
- /PyBank/main.py
- /PyBank/analysis/budget_data_analysis.txt
- ReadMe