As acity managerfor a mid-size city, you must be able toexamine patterns and trends to highlight organizational performance and support organizational strategic planning. One of the ways that is done is through analyzing the statistics. Still, just presenting the numbers is not always the most efficient way to present your analysis.

Scenario

You are a city manager for a mid-size city that is anticipating increases in population and auto traffic as new industries move into the downtown area. Parking spaces are already hard to find and traffic congestion can be problematic from commuters and events like concerts and sports. Before considering adding additional parking, you think it is possible to use existing parking more effectively through a smart parking app that identifies parking space availability in different parking lots throughout the city in real time.

In this assessment, you will demonstrate your skill ininformation visualizationwhen you present your recommendations to the City Council members who are responsible for deciding whether the city invests in resources to set in motion the smart parking space app.

Preparation

Review theparking space usagefile. - file is both graphs below

Select any 2 parking lots. For each one, review the scatter plot showing the occupancy rate at each time stamp during the week of 11/20/2022 -11/26/2022. Identify whether occupancy rates are time dependent. If so, identify the times that seem to experience the highest occupancy rates.

Research "smart cities" to provide guidance and support for your presentation.

Need help on below information

• Outline the rationale and goals of the project.
• Analyze the box plot charts showing the occupancy rates for each day of the week and interpret the results.
• Analyze the box plot charts showing the occupancy rates for each parking lot and interpret the results.
• Choose 2 scatter plot charts showing occupancy rate against the time of day over the course of the week and interpret the results.
• Make a recommendation about continuing with the implementation of this project.

Occupancy Rate per Lot 120.0 100.0 80.0 X X 60.0 40.0 20.0 0.0 Lot01 Lot02 Lot03 Lot04 Lot05 Lot06 Lot07 Lot08 Lot09 OccupancyRateOccupancy Rates by Day of the Week 120.0 100.0 80.0 X X X X 60.0 X 40.0 20.0 0.0 Monday Wednesday Friday Sunday Tuesday Thursday Saturday OccupancyRate