How can I clean my data using Pandas in Jupyter Notebooks?

How can I clean my data using Pandas in Jupyter Notebooks?

You can clean your data in Pandas by using functions like dropna(), fillna(), and replace(). What specific issues are you facing?

I have missing values in my dataset. How do I handle them?

You can use df.dropna() to remove rows with missing values or df.fillna(value) to fill them with a specific value. Which method do you prefer?

I think I want to fill them with the mean of the column.

You can calculate the mean using df['column_name'].mean() and then use df['column_name'].fillna(mean_value, inplace=True). Would you like to see a code example?

Yes, please show me the code!