Data Description: The Metropolitan Museum of Art presents over 5,000 years of art from around the world for everyone to experience and enjoy. The Museum lives in three iconic sites in New York City—The Met Fifth Avenue, The Met Breuer, and The Met Cloisters. Millions of people also take part in The Met experience online.Since it was founded in 1870, The Met has always aspired to be more than a treasury of rare and beautiful objects. Every day, art comes alive in the Museum’s galleries and through its exhibitions and events, revealing both new ideas and unexpected connections across time and across cultures.The Metropolitan Museum of Art provides select datasets of information on more than 470,000 artworks in its Collection for unrestricted commercial and noncommercial use. Critical Details and Instructions:iii. For problems 1-5, you can manipulate the data-frames/dictionaries as you see fit and using whatever functions/libraries you want. However, it is critically important that your end results for each problem match the provided variable name (ex: the result of problem 1 is called df_init) so that they are accessible for grading. You should upload your exam via the File Response dialogue through the Blackboard exam – but if you cannot do so, email it to me ASAP. Note that if you are submitting a .py file you are highly encouraged to include a README to explain what should be run to produce the required structures for problems 1-5 and graphs for problem 6.
590-54/59, Mid-Term, Portion, Programming, solved
[SOLVED] Cse 590-54/59 mid-term programming portion
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