Question 4. For this question, you will be using a CSV file with the filename bikes.csv. The CSV file contains 66 entries recording the number of users of the Capital Bikeshare bicycle-sharing system based in Washington D.C., USA, with 33 samples from the year 2011 and 33 from the year 2012. Each row includes the year, month and date of the record, and various weather features, as well as the number of casual users and the number of registered users on that day. For example, the first row of the data is: This says that on January 5, 2011, the average temperature was 3C, the humidity was 44%, the windspeed was 12 /h, and there were 82 casual bike share users and 1518 registered bike share users on that day. In some parts of this question, you will need to extract relevant rows from the data frame to address specific questions. You can create additional data frames by requesting only the rows meeting certain conditions. For example, assuming you have imported the CSV to the bikes variable, you can create a data frame called bikes.2011 that contains only the records from the year 2011 using the following syntax: bikes.2011