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Data processing involves cleaning, transforming, and preparing the data for visualization. This may include removing irrelevant information, converting data types, and aggregating data. You can use Python with libraries like `pandas` to perform these tasks. For example, you can use pandas to group stories by date and calculate the average number of upvotes per day.
