Inspiration
As a Software Engineering student with concentrations in data science and web/mobile development, I aspire to become a data scientist. This project was the perfect opportunity to get hands-on experience and begin my journey toward that goal.
What It Does
This project is an interactive dashboard that analyzes NES (Nintendo Entertainment System) game sales to uncover trends in popularity, genres, publishers, and ratings over time.
How I Built It
I built this project entirely in Python using core libraries such as:
- pandas
- matplotlib
- Jupyter Notebook
- Streamlit
Challenges I Ran Into
- Working solo for my first hackathon was a challenge.
- Integrating my pre-existing code with Streamlit to build a working dashboard required research and trial-and-error.
I overcame these challenges by consulting guides, looking up examples, and remembering that this is my first hackathon—perfection is not the goal.
Accomplishments I'm Proud Of
- Completing a full project within the given timeframe as a beginner solo.
- Learning how to code more effectively and understanding what works and what doesn’t.
What I Learned
- Coding can be difficult but is never impossible.
- Writing steps in plain English before coding helps clarify logic and makes translating ideas into code easier.
What's Next for NES Game Popularity Analysis
- Improve the dashboard design using Streamlit or possibly JavaScript for a more polished look.
- Expand the analysis to answer more questions or compare NES games to other generations.
- Add more features and interactivity as I continue learning beyond HackNC.
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