This project aims to perform financial records analysis and election poll data processing using Python scripts. The two scripts here, PyBank and PyPoll, are designed to analyze and extract essential information from large datasets with Python.
- Python
- Pandas
- Reading and writing CSV files
- Data analysis and manipulation
- Conditional statements and loops
This script analyzes the financial records of a company by analyzing the data from budget_data.csv, available in /PyBank/Resources/budget_data.csv, displaying results on Terminal and written to a text file, available in /PyBank/Analysis/Financial_Analysis.txt.
The script helps a small, rural town modernize its vote-counting process by analyzing the data from election_data.csv, available in /PyPoll/Resources/election_data.csv, displaying the results on Terminal and written to a text file, available in /PyPoll/Analysis/Election_Results.txt.
PyBank Results:
- Total Months: 86
- Total: $22564198
- Average Change: $-8311.11
- Greatest Increase in Profits: Aug-16 ($1862002)
- Greatest Decrease in Profits: Feb-14 ($-1825558)
PyPoll Results:
- Total Votes: 369711
- Charles Casper Stockham: 23.049% (85213)
- Diana DeGette: 73.812% (272892)
- Raymon Anthony Doane: 3.139% (11606)
- Winner: Diana DeGette