Dynamic-Date-Animation

Voting Animation

Fun Project Story

This project originated as a fun experiment when my teacher tasked me with selecting the two most interesting subjects from a pool of seven. Each student was allowed to choose their two favourite subjects through a voting process.

In the end, our ECE department would offer the two subjects with the highest votes. That's when I decided to leverage the power of Matplotlib to analyze and visualize the voting data.

Project Background

• Data Collection: I gathered the voting data from my fellow students.
• Data Filtering: With the assistance of ChatGPT and Matplotlib, I processed and filtered the data to identify the most preferred subjects.
• Visualization: The project uses dynamic data animation with Matplotlib to visually represent the accumulation of votes over time.

It's a lighthearted project showcasing technology's creative use to address a simple yet interesting challenge. Feel free to explore, contribute, or use the code for your own projects!

This project creates a dynamic animation that shows the accumulation of votes over time for different subjects. The data is represented using a bar chart where the x-axis represents different subjects, and the y-axis represents the percentage of votes each subject receives.

Getting Started

To run the animation, make sure you have Python and the required libraries installed. You can install the necessary libraries using the following command:

pip install matplotlib numpy

After installing the dependencies, you can run the animation script:

python voting_animation.py

Configuration

• The list of votes is provided in the votes variable.
• Subject numbers are mapped to subject names in the subject_names dictionary.
• The order of subjects is defined in the ordered_subjects list.

Customization

You can customize the animation by adjusting parameters in the script:

• Modify the figsize parameter in the plt.subplots(figsize=(8, 6)) line to change the size of the figure.
• Adjust animation parameters, such as speed and frames, based on your preferences.

Contributing

Feel free to contribute to this project by opening issues or creating pull requests. Your feedback and improvements are welcome!

License

This project is open-source and available under the MIT License. Feel free to use, modify, and share!

Happy coding! 🚀