Project Overview PyBank_Starter Goals Technologies How to Run PyPoll_Starter Goals Technologies
Project Structure Contributing License Project Overview This repository contains two Python-based data analytics projects: PyBank_Starter and PyPoll_Starter. Both projects focus on manipulating and analyzing simple datasets with Python.
These projects are designed for educational purposes, demonstrating basic skills in Python for data manipulation and analysis.
The PyBank project is aimed at performing a simple analysis of financial records. It processes a set of monthly revenue data to calculate the following:
Total number of months included in the dataset. Net total amount of "Profit/Losses" over the entire period. Average change in "Profit/Losses" between months. The greatest increase in profits (date and amount). The greatest decrease in losses (date and amount). Technologies Python 3.x pandas (optional for advanced users) CSV files for input data
Clone the repository. Run the PyBank script: python PyBank .py View results: The results will be displayed in the console and optionally written to a text file named PyBank_results.txt.
The PyPoll project is aimed at tallying votes from a set of election data. It calculates the following:
Total number of votes cast. List of candidates who received votes. Percentage of votes each candidate won. Total number of votes each candidate won. Winner of the election based on popular vote. Technologies Python 3.x pandas (optional for advanced users) CSV files for input data
Clone the repository. Run the PyPoll script: python PyPoll .py View results: The results will be displayed in the console and optionally written to a text file named PyPoll_results.txt.