Day 7 :Python Libraries : Pandas

📊✨ Data Wrangling with Pandas: Day 7✨📊

Unlock the full potential of your data with Pandas! Today, we dove deep into the essentials of data wrangling. From reading and writing data to cleaning and preprocessing, we've got you covered. Here's what we covered:

1️⃣ Reading and Writing Data : Seamlessly handle CSV and Excel files.
2️⃣ Handling Missing Values : Techniques to drop or fill missing data.
3️⃣ Correcting Data Types : Ensure accurate data analysis by fixing data types.
4️⃣ Removing Duplicates : Maintain data integrity by eliminating duplicates.
5️⃣ Renaming Columns : Enhance readability with clear, consistent column names.
6️⃣ Filtering Data : Focus on relevant data subsets for targeted insights.

Master these skills to transform raw data into clean, structured information, paving the way for insightful analysis and stunning visualizations.

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