How can I clean my dataset using Python and Pandas?
You can clean your dataset by using various Pandas 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 fillna()
to fill missing values with a specific value or dropna()
to remove rows with missing values. Would you like examples?
Yes, please provide an example of using fillna.
Sure! You can use df.fillna(value=0)
to replace all missing values with 0. Just replace df
with your DataFrame name.
What if I want to fill missing values with the mean of the column?
You can calculate the mean using df['column_name'].mean()
and then use fillna()
like this: df['column_name'].fillna(df['column_name'].mean(), inplace=True)
.
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