Learning EDA from Scratch: A Beginner's Notebook

This is a beginner-friendly notebook where I practiced Exploratory Data Analysis (EDA) on the Titanic dataset using Python.
The goal was to understand EDA step-by-step in a hands-on, fun, and understandable way and to help other beginners do the same.

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Tools Used

• pandas
• numpy
• seaborn
• matplotlib
• Kaggle Notebooks

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Dataset Used

Titanic: Machine Learning from Disaster
→ View Dataset on Kaggle

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What’s Inside

• Understanding the dataset
• Types of data & summary stats
• Handling missing values & duplicates
• Univariate & bivariate analysis
• Correlation & heatmaps
• My personal notes and beginner-level thoughts

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How to Add a Dataset in Kaggle Notebook

1. Open your notebook
2. Click on Add Data on the sidebar
3. Search and add the dataset (e.g., "Titanic")
4. Access the file in your code like this:

df = pd.read_csv("../input/titanic/train.csv")

Feedback Welcome

This notebook is a part of my learning journey, so if you have any suggestions, corrections, or ideas —
feel free to let me know! I’d love to improve this further and keep learning.

License

This project is shared for educational purposes only.
Please don’t copy or repost it without credit.
© Vinaya Sangeeta Lahari Baswa, 2025.