Reference no: EM132890342

Scenario:

 A city's administration isn't driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid. 

You're a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city. 

Instructions: Work with the provided Excel database. This database has the following columns:

• LotCode: A unique code that identifies the parking lot
• Lot Capacity: A number with the respective parking lot capacity
• Lot Occupancy: A number with the current number of cars in the parking lot
• Time Stamp: A day/time combination indicating the moment when occupancy was measured
• Day: The day of the week corresponding to the Time Stamp
• Insert a new column, Occupancy Rate, recording occupancy rate as a percentage with one decimal. For instance, if the current Lot Occupancy is 61 and Lot Capacity is 577, then the Occupancy Rate would be reported as 10.6 (or 10.6%).

• Using the Occupancy Rate 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 Occupancy Rate and Lot Code 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 one, prepare as scatter plot showing occupancy rate against Time Stamp for the week 11/20/2016 -11/26/2016. Are occupancy rates time dependent? If so, which times seem to experience highest occupancy rates? Is this what you expected?

Complete the following

• Outline the rationale and goals of the project. 
• Utilize boxplots showing the occupancy rates for each day of the week. Include your interpretation of results.
• Utilize box plots showing the occupancy rates for each parking lot. Include your interpretation of results.
• Provide scatter plots showing occupancy rate against time of day of your selected four parking lots. Include your interpretation of results. 
• Make a recommendation about continuing with the implementation of this project.