Financial and Election Data Analysis is a Python-based project designed to process and analyze financial and election datasets. It produces summaries, including financial performance metrics (such as profit changes) and election results (vote counts, percentages, and winner identification).
The analysis outputs results into user-friendly .txt summary files for easy review.
-
Financial Analysis:
- Calculates total months, total profits, and average monthly changes.
- Identifies the greatest increase and decrease in profits.
-
Election Results:
- Processes voting data to calculate total votes and individual candidate percentages.
- Determines the election winner.
-
Output Summaries:
- Results are saved as formatted text files for easy sharing and presentation.
-
Prerequisites:
- Python 3.x
- Required libraries (if any) listed in
requirements.txt.
-
Setup:
-
Clone this repository or download the project files.
-
Install dependencies (if needed):
pip install -r requirements.txt
-
-
Data Files: Ensure the following input files are placed in the project directory:
budget_data.csv- Contains monthly financial data.election_data.csv- Contains voting results.