Welcome to my EDA Projects Repository — a curated collection of data-driven explorations where I dive into raw datasets, extract insights, and visualize stories hidden in numbers.
Whether it's understanding book ratings, discovering music trends, or analyzing movie patterns — this repo is my personal space to apply data science concepts and grow as a data analyst.
Explore global book ratings, publishing trends, language distribution, and top authors. 📒 View Notebook ➜
Highlights:
- Cleaned dataset with missing value handling
- Univariate & bivariate visual analysis
- Top-selling publishers and popular authors
- Genre-based insights and reader preferences
- Language: Python
- Libraries: Pandas, NumPy, Matplotlib, Seaborn
- Environment: Jupyter Notebook
- Format: CSV-based datasets
- Strengthen my data exploration skills
- Practice visual storytelling through graphs
- Build a personal portfolio of insightful EDA projects
- Make analysis reproducible and beginner-friendly
I'm a curious learner, passionate about data analytics, design, and storytelling through visuals. I created this repository to document my learning journey and connect with like-minded data folks!
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