Markdown Part A: Preliminary analysis To make sure you know how to navigate these data, let's start with two basic exercises Exercise 0: count_playlists (1 point) Siven a user playlist dataset, users, complete the function, count_playlists(users) so that it returns the total number of playlists For instance, suppose the user dataset consists of the following two users: (330): exe_demo_users - ['user_id': c8435917bde9edce8df8f62b736ced, playlists': [{'name': 'Starred, 'tracks': [['artist: Andr Rieu, 'title': 'Once Upon A Time In The West - Main Title Theme"}, {'artist': 'Andr Rieu, 'title': 'The Second Waltz - From Eyes Wide Shut')}]}, {"user_id": "c799d71e8d2004377d6d8e861479559", playlists': 'name': 'Liked from Radio, 'tracks': [{'artist': 'The Police', 'title': 'Every tireath You Take"}, {'artist': 'Lucio Battisti', 'title': 'Per una Lira'), 1'artist': 'Alicia Keys ft. Jay-Z', 'title': 'Empire State of Hind')]). {"name": "starred', 'tracks': [{'artist': 'U2', 'title': 'With Or Without You'}]}] Then count_playlists(ex@_demo_users) would return 1+2+3, because the first user has one playlist (named 'Starred") and the second has two playlists (one named 'Liked from Radio' and the other also named 'Starred) n (338): def count_playlists(users): ** YOUR CODE HERE