Recently, I practiced working with Pandas, one of the most powerful Python libraries for data analysis. 📊
In this project, I worked with a dataset (data.csv) and explored different operations, including: ✅ Reading and loading CSV files ✅ Checking dataset shape, columns, and data types ✅ Handling missing values ✅ Selecting specific rows and columns ✅ Performing slicing operations ✅ Summarizing data using describe() ✅ Renaming columns for clarity
This hands-on practice helped me understand how to clean, analyze, and prepare data effectively using Pandas. It’s a small but important step in my data science journey! ✨