Download the Parking Lot Use data set. The data set has the following columns: • LotCode: a unique code

Download the Parking Lot Use data set. The data set has the following columns:
• LotCode: a unique code that identifies the parking lot
• LotCapacity: a number with the respective parking lot capacity
• LotOccupancy: a number with the current number of cars in the parking lot
• TimeStamp: a day/time combination indicating the moment when occupancy was measured
• Day: the day of the week corresponding to the TimeStamp
Insert a new column, OccupancyRate, recording occupancy rate as a percentage with 1 decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%).

Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected?

Using the OccupancyRate and LotCode columns, construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates? Are some parking lots more frequented than others? Is this what you expected?

Select any 2 parking lots. For each of them, prepare a scatter plot showing occupancy rate against TimeStamp for the week 11/20/2016 – 11/26/2016. Are occupancy rates time dependent? If so, which times seem to experience the highest occupancy rates? Is this what you expected?

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