CampusX Data Science Mentorship Program 2022-23 - Session on EDA using SQL | Laptops Dataset

Code Data Cleaning - https://docs.google.com/document/d/1_urkFSBPwEzHnZuycGlcjz_S5ofGLXynxKC0cPHP-uM/edit?usp=sharing Laptop dataset Uncleaned: https://www.kaggle.com/datasets/ehtishamsadiq/uncleaned-laptop-price-dataset Code EDA - https://docs.google.com/document/d/1Izh0o3ZTsVcSw5ZHsX5uB7v7IGxJ7hbX7a3VfIuFv1c/edit?usp=sharing EDA Plan 1. head - tail - sample 2. for numerical cols     - 8 number summary[count,min,max,mean,std,q1,q2,q3]     - missing values     - outliers     - horizontal/vertical histograms 3. for categorical cols     - value counts - pie chart     - missing value 4. numerical - numerical     - side by side 8 number analysis--     - scatterplot     - correlation 5. categorical-categorical     - contigency table - stacked bar chart 6. numerical-categorical     - compare distribution across categories 8. missing value treatment 9. feature engineering - ppi - price_bracket 10. one hot encoding