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This project includes two Python scripting tasks: PyBank and PyPoll. Both tasks utilize Python to analyze real-world datasets, one for financial analysis and the other for election vote counting.

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Python Challenge: PyBank & PyPoll

Project Overview

This project includes two Python scripting tasks: PyBank and PyPoll. Both tasks utilize Python to analyze real-world datasets, one for financial analysis and the other for election vote counting.

PyBank: Financial Record Analysis

In this challenge, a Python script is created to analyze financial records from a dataset (budget_data.csv) with the following details:

  • Dataset Columns: Date, Profit/Losses
  • Tasks:
    • Calculate the total number of months in the dataset.
    • Compute the net total of "Profit/Losses" over the entire period.
    • Calculate the changes in "Profit/Losses" and the average of those changes.
    • Identify the greatest increase in profits (date and amount).
    • Identify the greatest decrease in profits (date and amount).

The script outputs the analysis to the terminal and saves the results to a text file.

Revenue Per Lead

PyPoll: Election Vote Analysis

In this challenge, we are tasked with analyzing election data from the dataset (election_data.csv) to help automate the vote-counting process. The dataset contains the following columns:

  • Dataset Columns: Voter ID, County, Candidate
  • Tasks:
    • Count the total number of votes cast.
    • List all candidates who received votes.
    • Calculate the percentage of votes each candidate won.
    • Calculate the total votes for each candidate.
    • Determine the winner of the election based on popular vote.

The script outputs the analysis to the terminal and saves the results to a text file.

Vote Counting

Tools Used

  • Python: Scripting language used for data analysis.
  • Pandas: Library used for data manipulation and analysis.

How to Run

  1. Clone this repository.
  2. Install the required Python packages.
  3. Run the pybank.py or pypoll.py script in a Python environment.
  4. Results will be displayed in the terminal and saved as a .txt file.

Contributors

  • Sakina Jaffri - Python scripting, data analysis, and report generation.

About

This project includes two Python scripting tasks: PyBank and PyPoll. Both tasks utilize Python to analyze real-world datasets, one for financial analysis and the other for election vote counting.

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