(a) Combine the datasetsCar Features Train andCar Prices Train to…

Question Answered step-by-step (a) Combine the datasetsCar Features Train andCar Prices Train to… (a) Combine the datasets Car Features Train and Car Prices Train to obtain a single dataset containing the features and prices for each car. The combined dataset must be at the CarID level, i.e., all the information of a car must be in a single row. What is the number of cells in the combined dataset?  Use Number of cells = number of rows x Number of columns. (b) Append Car Features Test dataset (with their prices) to the dataset obtained in (a), i.e., stack the datasets one on top of the other.(c) Which brands have (i) the cheapest and (ii) the most expensive cars on average? (d) Which model has the highest price range (most expensive – least expensive) in its cars? (e) Which engine size is the most common across all cars? (f) Make a box plot for cars released after 2015 with mileage on the x-axis and brand on the y-axis.  Car Feature Testhttps://docs.google.com/spreadsheets/d/1UpKP-QICopjCq6oN-ZwgN4_25jZXstOQ4Z4pWFLkOYc/edit?usp=sharing Car Feature Trainhttps://docs.google.com/spreadsheets/d/1r40yCRAXCIMN7_DCdFq4heCF4dKcKyn8LL_IQLjesdo/edit?usp=sharing Car Price Test https://docs.google.com/spreadsheets/d/11XeWO7jAAY6rkBKIfLCnu3HNx0Hq3VmNi_H6WrbKeqM/edit?usp=sharing Car Price Trainhttps://docs.google.com/spreadsheets/d/11XeWO7jAAY6rkBKIfLCnu3HNx0Hq3VmNi_H6WrbKeqM/edit?usp=sharing Computer Science Engineering & Technology Python Programming CS 142 Share QuestionEmailCopy link Comments (0)