This Python script analyzes election data from the election_data.csv file. It calculates key metrics such as the total number of votes cast, candidates who received votes, the percentage of votes each candidate won, the total number of votes each candidate won, and determines the winner based on the popular vote.
- Ensure Python is installed.
- Place election_data.csv in the script directory.
- Run the script (python election_analysis.py).
- Total votes cast
- List of candidates who received votes
- Percentage of votes each candidate won
- Total votes each candidate won
- Winner of the election
- Financial Records Analysis
This Python script analyzes financial records from a CSV file named budget_data.csv. The dataset includes two columns: "Date" and "Profit/Losses". The script calculates various financial metrics, including the total number of months, the net total amount of profit/losses over the entire period, the changes in profit/losses over the period with the average change, the greatest increase in profits, and the greatest decrease in profits.
- Place the budget_data.csv file in the same directory as the script.
- Run the script by executing python financial_analysis.py.
- Total number of months in the dataset.
- Net total amount of profit/losses over the entire period.
- Average change in profit/losses over the period.
- Greatest increase in profits, data and amount.
- Greatest decrease in profits, data and amount.
- budget_data.csv: Input CSV file containing financial records.
- financial_analysis.py: Python script for analyzing financial records.
Overall, the election data analysis script provides a comprehensive overview of the election results, including voter turnout, candidate performance, and the winning candidate.