The product manager has some questions about the data and is looking to you for some insight. Using python, please perform analyses using the compressed CSVs provided (assume they are up-to-date dumps of the tables shown in the database schema above) to address the following questions, providing a written explanation to the product manager of what you find for each: Data files can be found on this Google Drive https://drive.google.com/drive/folders/1SLPXplllZ6ljuChPfnkRBwA4lh47qapL?usp=sharing

a. Identify one or two trends in the data that are interesting from a data perspective. Do the trends you observe have any effect on how you would build your ranking feature? In a sentence or two, how would you communicate these findings to a non-technical project manager? b. How much web traffic are users' profiles receiving from combined internal and external sources? Is it reasonable to include both sources in the product feature? c. How would you present the profile view data in a Rank for profile views feature? Please provide code to achieve this.

Database schema user profile urls internal_profile_views user id profile_url e user id e viewed user id created at users firstname lastname age * region title id titles external_profile_views id title public_profile_url . unique_PageViews Database schema user profile urls internal_profile_views user id profile_url e user id e viewed user id created at users firstname lastname age * region title id titles external_profile_views id title public_profile_url . unique_PageViews