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Question: Create a line plot visualizing the sentiment on your chose topic over time. First, sort the data in increasing order based on the dates the articles were published. These dates are stored in Unix time. Hint: Recall hw0, where we used a lambda function to retrieve values from a dictionary. Next, group the sorted data into k bins. Choose k to be an appropriate value, so that 100 divides nicely by k. The first bin should contain the earliest 100/k articles, while the kth bin should contain the most recent 100/k articles. Finally, for each bin, compute the fraction of positive news articles using the respective sentiment labels, as well as average date of publishing. Then, fracs_pos should contain the fraction of positive news articles for each bin, and average_dates should contain the average date of publishing for each bin. Hint: Because our dates are encoded in Unix time, we can compute the average date of publishing for a bin by averaging together the publishing dates for each article in the bin!
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