How can I clean data after web scraping?
You can clean data by removing duplicates, handling missing values, and standardizing formats. What specific issues are you facing?
I have a lot of missing values in my dataset.
You can either remove rows with missing values or fill them in using techniques like mean imputation or interpolation. Which approach do you prefer?
I think filling them in would be better. How do I do that?
You can use libraries like Pandas in Python. For example, you can use df.fillna(value)
to fill missing values with a specified value.
Thanks! What about removing duplicates?
You can use df.drop_duplicates()
in Pandas to remove duplicate rows from your DataFrame.
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