This assignment is about smart parking space app presentation. This assignment illustrates how data analytics can help in creating strategies for sustainable organizational success while integrating the organization’s mission with societal values.

Smart Parking Space App Presentation

Signature Assignment: Smart Parking Space App Presentation. Paper details Assignment Content Purpose This assignment illustrates how data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values. You’ll apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models. Also, you’ll practice organizing and delivering a presentation to senior decision-makers. The PowerPoint presentation includes an audio component in addition to speaker notes. Resources: Microsoft Excel®, DAT565_v3_Wk6_Data_File.

Smart Parking Space App Presentation

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 experience 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. So, you’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic.

Smart Parking Space App Presentation

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.   Instructions: Work with the provided Excel database. This database 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.   The day of the week corresponding to the TimeStamp. Insert a new column, OccupancyRate, recording occupancy rate as a percentage with one decimal. https://youtu.be/XiQ3bMVNDac

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