Hey dev community! π
I just published a comprehensive guide to Exploratory Data Analysis (EDA) that takes you from zero to hero with real Python examples.
What You'll Learn:
π 8-step EDA process with hands-on code
π Data visualization techniques using Matplotlib & Seaborn
π Python libraries (Pandas, NumPy, Scipy) in action
π’ Real dataset analysis using the famous Titanic dataset
π Statistical insights and pattern recognition
β οΈ Common mistakes to avoid in your EDA journey
Perfect for:
- Data science beginners
- Python developers entering data analysis
- Anyone wanting to understand their data better
The guide includes complete code examples, step-by-step explanations, and practical tips from real-world experience.
Read the full tutorial: Link
What's your biggest challenge with data analysis? Drop a comment below! π
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