Q4: Exploring the AppStore Dataset (20 points) With this dataset, we have written some codes to find out different genres and number of apps for each genre. We also did the same for content ratings. 55] : opened_file = open ("Applestore.csv', encoding="utf-8") from csv import reader read_file = reader (opened_file) apps_data = list(read_file) Q4.1 The price for the app is also a topic of interest. Write codes to answer the following questions: II How many of the applications are free? That is, find out how many applications are priced at $0.0. [7]: \# 1. Find out how many apps are free. \# Recall that the price column is column 4 Q4.2. What are the three most expensive prices? How much? What are the titles? [8]: \#2. Find the three priciest apps. [9]: \# 3. Find the most expensive app(s). [ ]