How do I clean a dataset for analysis?
Cleaning a dataset involves removing duplicates, handling missing values, and correcting inconsistencies. What specific issues are you facing?
I have a lot of missing values and some duplicates.
For missing values, you can either remove those rows or fill them with a placeholder or average. For duplicates, you can use a function to identify and remove them. Would you like to know how to do this in Python?
Yes, please! How can I do that in Python?
You can use pandas library. To remove duplicates, use df.drop_duplicates()
, and for missing values, use df.fillna(value)
or df.dropna()
. Do you need help with installing pandas?
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