SMART PARKING SPACE APP PRESENTATION

Smart Parking Space App Presentation - Marketing
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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 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 one 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 one, prepare as 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 highest occupancy rates? Is this what you expected? Presentation:  Create a 10- to 12-slide presentation with speaker notes and audio. Your audience is the City Council members who are responsible for deciding whether the city invests in resources to set in motion the smart parking space app.  Complete the following in your presentation:  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.ParkingLotUtilization LotCode LotCapacity LotOccupancy TimeStamp Day Lot01 863 174 11/20/16 8:01 Sunday Lot01 863 179 11/20/16 8:27 Sunday Lot01 863 189 11/20/16 9:01 Sunday Lot01 863 197 11/20/16 9:27 Sunday Lot01 863 226 11/20/16 10:01 Sunday Lot01 863 247 11/20/16 10:27 Sunday Lot01 863 331 11/20/16 11:01 Sunday Lot01 863 400 11/20/16 11:27 Sunday Lot01 863 469 11/20/16 12:01 Sunday Lot01 863 510 11/20/16 12:34 Sunday Lot01 863 594 11/20/16 13:07 Sunday Lot01 863 618 11/20/16 13:27 Sunday Lot01 863 637 11/20/16 14:01 Sunday Lot01 863 655 11/20/16 14:27 Sunday Lot01 863 634 11/20/16 15:01 Sunday Lot01 863 597 11/20/16 15:27 Sunday Lot01 863 533 11/20/16 16:01 Sunday Lot01 863 476 11/20/16 16:31 Sunday Lot01 863 363 11/21/16 8:04 Monday Lot01 863 453 11/21/16 8:31 Monday Lot01 863 569 11/21/16 9:04 Monday Lot01 863 681 11/21/16 9:31 Monday Lot01 863 787 11/21/16 10:04 Monday Lot01 863 857 11/21/16 10:31 Monday Lot01 863 862 11/21/16 11:04 Monday Lot01 863 857 11/21/16 11:30 Monday Lot01 863 860 11/21/16 11:57 Monday Lot01 863 848 11/21/16 12:31 Monday Lot01 863 852 11/21/16 12:57 Monday Lot01 863 836 11/21/16 13:31 Monday Lot01 863 823 11/21/16 14:04 Monday Lot01 863 804 11/21/16 14:31 Monday Lot01 863 769 11/21/16 14:57 Monday Lot01 863 713 11/21/16 15:31 Monday Lot01 863 669 11/21/16 15:57 Monday Lot01 863 593 11/21/16 16:31 Monday Lot01 863 321 11/22/16 7:57 Tuesday Lot01 863 417 11/22/16 8:31 Tuesday Lot01 863 526 11/22/16 9:04 Tuesday Lot01 863 616 11/22/16 9:31 Tuesday Lot01 863 746 11/22/16 10:04 Tuesday Lot01 863 809 11/22/16 10:31 Tuesday Lot01 863 825 11/22/16 11:04 Tuesday Lot01 863 835 11/22/16 11:31 Tuesday Lot01 863 837 11/22/16 12:04 Tuesday Lot01 863 837 11/22/16 12:31 Tuesday Lot01 863 840 11/22/16 12:57 Tuesday Lot01 863 836 11/22/16 13:31 Tuesday Lot01 863 822 11/22/16 13:57 Tuesday Lot01 863 800 11/22/16 14:31 Tuesday Lot01 863 782 11/22/16 14:57 Tuesday Lot01 863 733 11/22/16 15:31 Tuesday Lot01 863 681 11/22/16 15:57 Tuesday Lot01 863 606 11/22/16 16:30 Tuesday Lot01 863 335 11/23/16 8:04 Wednesday Lot01 863 423 11/23/16 8:30 Wednesday Lot01 863 533 11/23/16 8:57 Wednesday Lot01 863 646 11/23/16 9:31 Wednesday Lot01 863 758 11/23/16 10:04 Wednesday Lot01 863 816 11/23/16 10:31 Wednesday Lot01 863 836 11/23/16 11:04 Wednesday Lot01 863 835 11/23/16 11:31 Wednesday Lot01 863 845 11/23/16 11:57 Wednesday Lot01 863 838 11/23/16 12:31 Wednesday Lot01 863 838 11/23/16 13:04 Wednesday Lot01 863 837 11/23/16 13:31 Wednesday Lot01 863 820 11/23/16 13:57 Wednesday Lot01 863 801 11/23/16 14:30 Wednesday Lot01 863 775 11/23/16 15:04 Wednesday Lot01 863 748 11/23/16 15:31 Wednesday Lot01 863 693 11/23/16 16:04 Wednesday Lot01 863 644 11/23/16 16:30 Wednesday Lot01 863 347 11/24/16 8:00 Thursday Lot01 863 435 11/24/16 8:27 Thursday Lot01 863 547 11/24/16 9:00 Thursday Lot01 863 682 11/
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