Week 6 - Apply: Signature Assignment: Smart Parking Space App Presentation

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.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

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 managementtoreduce 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 anapp that motoristscan 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:

Lot Code: 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. Confirm if 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 a 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?

Presentation:

Create a 10- to 12-slide presentation with speaker notes and audio. Your audience is the City Council members who are responsible for decidingwhether the city invests in resources to set in motion the smart parking space app.

Complete the following in your presentation:

Outlinethe rationale and goals of the project.

Utilizeboxplots 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.

Providescatter plots showing occupancy rate against time of day of your selected four parking lots. Include your interpretation of results.

Makea recommendation about continuing with the implementation of this project.

LotCapacity LotOccupancy TimeStamp Day 863 174 11/20/2016 8:01 Sunday 863 179 11/20/2016 8:27 Sunday 863 189 11/20/2016 9:01 Sunday 863 197 11/20/2016 9:27 Sunday 863 226 11/20/2016 10:01 Sunday 863 247 11/20/2016 10:27 Sunday 863 331 11/20/2016 11:01 Sunday 863 400 11/20/2016 11:27 Sunday 863 469 11/20/2016 12:01 Sunday 863 510 11/20/2016 12:34 Sunday 863 594 11/20/2016 13:07 Sunday 863 618 11/20/2016 13:27 Sunday 863 637 11/20/2016 14:01 Sunday 863 655 11/20/2016 14:27 Sunday 863 634 11/20/2016 15:01 Sunday 863 597 11/20/2016 15:27 Sunday 863 533 11/20/2016 16:01 Sunday 863 476 11/20/2016 16:31 Sunday 863 363 11/21/2016 8:04 Monday 863 453 11/21/2016 8:31 Monday 863 569 11/21/2016 9:04 Monday 863 681 11/21/2016 9:31 Monday 863 787 11/21/2016 10:04 Monday 863 857 11/21/2016 10:31 Monday 863 862 11/21/2016 11:04 Monday 863 857 11/21/2016 11:30 Monday 863 860 11/21/2016 11:57 Monday 863 848 11/21/2016 12:31 Monday 863 852 11/21/2016 12:57 Monday 863 836 11/21/2016 13:31 Monday 863 823 11/21/2016 14:04 Monday 863 804 11/21/2016 14:31 Monday 863 769 11/21/2016 14:57 Monday 863 713 11/21/2016 15:31 Monday 863 669 11/21/2016 15:57 Monday 863 593 11/21/2016 16:31 Monday 863 321 11/22/2016 7:57 Tuesday 863 417 11/22/2016 8:31 Tuesday 863 526 11/22/2016 9:04 Tuesday 863 616 11/22/2016 9:31 Tuesday 863 746 11/22/2016 10:04 Tuesday 863 809 11/22/2016 10:31 Tuesday 863 825 11/22/2016 11:04 Tuesday 863 835 11/22/2016 11:31 Tuesday 863 837 11/22/2016 12:04 Tuesday 863 837 11/22/2016 12:31 Tuesday 863 840 11/22/2016 12:57 Tuesday 863 836 11/22/2016 13:31 Tuesday 863 822 11/22/2016 13:57 Tuesday 863 800 11/22/2016 14:31 Tuesday 863 782 11/22/2016 14:57 Tuesday 863 733 11/22/2016 15:31 Tuesday 863 681 11/22/2016 15:57 Tuesday 863 606 11/22/2016 16:30 Tuesday 863 335 11/23/2016 8:04 Wednesday 863 423 11/23/2016 8:30 Wednesday 863 533 11/23/2016 8:57 Wednesday 863 646 11/23/2016 9:31 Wednesday 863 758 11/23/2016 10:04 Wednesday 863 816 11/23/2016 10:31 Wednesday 863 836 11/23/2016 11:04 Wednesday 863 835 11/23/2016 11:31 Wednesday 863 845 11/23/2016 11:57 Wednesday 863 838 11/23/2016 12:31 Wednesday 863 838 11/23/2016 13:04 Wednesday 863 837 11/23/2016 13:31 Wednesday 863 820 11/23/2016 13:57 Wednesday 863 801 11/23/2016 14:30 Wednesday 863 775 11/23/2016 15:04 Wednesday 863 748 11/23/2016 15:31 Wednesday 863 693 11/23/2016 16:04 Wednesday 863 644 11/23/2016 16:30 Wednesday 863 347 11/24/2016 8:00 Thursday 863 435 11/24/2016 8:27 Thursday 863 547 11/24/2016 9:00 Thursday 863 682 11/24/2016 9:34 Thursday 863 748 11/24/2016 10:01 Thursday 863 797 11/24/2016 10:27 Thursday 863 833 11/24/2016 11:00 Thursday 863 845 11/24/2016 11:27 Thursday 863 847 11/24/2016 12:00 Thursday 863 839 11/24/2016 12:30 Thursday 863 846 11/24/2016 13:04 Thursday 863 836 11/24/2016 13:30 Thursday 863 829 11/24/2016 13:57 Thursday 863 792 11/24/2016 14:30 Thursday 863 778 11/24/2016 14:57 Thursday 863 736 11/24/2016 15:31 Thursday 863 711 11/24/2016 15:57 Thursday 863 644 11/24/2016 16:31 Thursday 863 337 11/25/2016 8:00 Friday 863 337 11/25/2016 8:00 Friday 863 529 11/25/2016 9:00 Friday 863 614 11/25/2016 9:27 Friday 863 709 11/25/2016 10:00 Friday 863 757 11/25/2016 10:27 Friday 863 781 11/25/2016 11:00 Friday 863 796 11/25/2016 11:27 Friday 863 797 11/25/2016 12:00 Friday 863 797 11/25/2016 12:34 Friday 863 772 11/25/2016 13:00 Friday 863 780 11/25/2016 13:27 Friday 863 775 11/25/2016 14:00 Friday 863 738 11/25/2016 14:34 Friday 863 710 11/25/2016 15:00 Friday 863 683 11/25/2016 15:27 Friday 863 634 11/25/2016 16:00 Friday 863 570 11/25/2016 16:27 Friday 863 226 11/26/2016 8:01 Saturday 863 235 11/26/2016 8:28 Saturday 863 272 11/26/2016 9:01 Saturday 863 326 11/26/2016 9:35 Saturday 863 388 11/26/2016 10:01 Saturday 863 454 11/26/2016 10:35 Saturday 863 513 11/26/2016 11:01 Saturday 863 546 11/26/2016 11:28 Saturday 863 614 11/26/2016 12:01 Saturday 863 661 11/26/2016 12:28 Saturday 863 715 11/26/2016 13:01 Saturday 863 742 11/26/2016 13:28 Saturday 863 756 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Wednesday 863 571 11/30/2016 9:01 Wednesday 863 682 11/30/2016 9:28 Wednesday 863 791 11/30/2016 10:01 Wednesday 863 863 11/30/2016 10:28 Wednesday 863 861 11/30/2016 10:55 Wednesday 863 857 11/30/2016 11:28 Wednesday 863 862 11/30/2016 12:01 Wednesday 863 858 11/30/2016 12:28 Wednesday 863 859 11/30/2016 13:01 Wednesday 863 856 11/30/2016 13:28 Wednesday 863 840 11/30/2016 14:01 Wednesday 863 812 11/30/2016 14:28 Wednesday 863 783 11/30/2016 15:01 Wednesday 863 746 11/30/2016 15:28 Wednesday 863 687 11/30/2016 16:01 Wednesday 863 626 11/30/2016 16:28 Wednesday 863 357 12/1/2016 8:05 Thursday 863 410 12/1/2016 8:25 Thursday 863 517 12/1/2016 8:58 Thursday 863 628 12/1/2016 9:25 Thursday 863 720 12/1/2016 9:58 Thursday 863 787 12/1/2016 10:25 Thursday 863 836 12/1/2016 10:58 Thursday 863 831 12/1/2016 11:32 Thursday 863 838 12/1/2016 11:58 Thursday 863 848 12/1/2016 12:25 Thursday 863 833 12/1/2016 12:58 Thursday 863 839 12/1/2016 13:25 Thursday 863 850 12/1/2016 13:58 Thursday 863 821 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1194 1195 12/11/2016 14:59 Sunday 1194 1146 12/11/2016 15:25 Sunday 1194 1029 12/11/2016 15:59 Sunday 1194 890 12/11/2016 16:25 Sunday 1194 89 12/12/2016 8:02 Monday 1194 122 12/12/2016 8:29 Monday 1194 167 12/12/2016 9:02 Monday 1194 212 12/12/2016 9:29 Monday 1194 335 12/12/2016 10:02 Monday 1194 471 12/12/2016 10:29 Monday 1194 618 12/12/2016 11:02 Monday 1194 748 12/12/2016 11:29 Monday 1194 856 12/12/2016 11:55 Monday 1194 946 12/12/2016 12:29 Monday 1194 1000 12/12/2016 12:56 Monday 1194 1073 12/12/2016 13:29 Monday 1194 1055 12/12/2016 14:02 Monday 1194 995 12/12/2016 14:29 Monday 1194 929 12/12/2016 14:55 Monday 1194 850 12/12/2016 15:29 Monday 1194 769 12/12/2016 15:56 Monday 1194 691 12/12/2016 16:29 Monday 1194 92 12/13/2016 8:02 Tuesday 1194 118 12/13/2016 8:29 Tuesday 1194 162 12/13/2016 9:02 Tuesday 1194 189 12/13/2016 9:29 Tuesday 1194 242 12/13/2016 9:55 Tuesday 1194 376 12/13/2016 10:29 Tuesday 1194 480 12/13/2016 11:02 Tuesday 1194 566 12/13/2016 11:29 Tuesday 1194 682 12/13/2016 12:02 Tuesday 1194 739 12/13/2016 12:29 Tuesday 1194 802 12/13/2016 13:02 Tuesday 1194 855 12/13/2016 13:55 Tuesday 1194 826 12/13/2016 14:29 Tuesday 1194 786 12/13/2016 14:56 Tuesday 1194 727 12/13/2016 15:28 Tuesday 1194 678 12/13/2016 16:02 Tuesday 1194 638 12/13/2016 16:29 Tuesday 1194 77 12/14/2016 8:03 Wednesday 1194 118 12/14/2016 8:43 Wednesday 1194 139 12/14/2016 9:03 Wednesday 1194 182 12/14/2016 9:29 Wednesday 1194 280 12/14/2016 10:02 Wednesday 1194 404 12/14/2016 10:30 Wednesday 1194 656 12/14/2016 11:30 Wednesday 1194 711 12/14/2016 12:02 Wednesday 1194 755 12/14/2016 12:30 Wednesday 1194 802 12/14/2016 13:03 Wednesday 1194 848 12/14/2016 13:29 Wednesday 1194 860 12/14/2016 14:03 Wednesday 1194 850 12/14/2016 14:30 Wednesday 1194 812 12/14/2016 14:56 Wednesday 1194 758 12/14/2016 15:30 Wednesday 1194 688 12/14/2016 15:56 Wednesday 1194 627 12/14/2016 16:30 Wednesday 1194 110 12/15/2016 7:57 Thursday 1194 145 12/15/2016 8:30 Thursday 1194 181 12/15/2016 9:03 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97 12/11/2016 9:59 Sunday 849 117 12/11/2016 10:25 Sunday 849 175 12/11/2016 10:59 Sunday 849 218 12/11/2016 11:26 Sunday 849 285 12/11/2016 11:59 Sunday 849 348 12/11/2016 12:32 Sunday 849 386 12/11/2016 13:05 Sunday 849 408 12/11/2016 13:26 Sunday 849 436 12/11/2016 13:59 Sunday 849 442 12/11/2016 14:32 Sunday 849 444 12/11/2016 14:59 Sunday 849 419 12/11/2016 15:25 Sunday 849 376 12/11/2016 15:59 Sunday 849 341 12/11/2016 16:25 Sunday 849 67 12/12/2016 8:02 Monday 849 79 12/12/2016 8:29 Monday 849 100 12/12/2016 9:02 Monday 849 122 12/12/2016 9:29 Monday 849 175 12/12/2016 10:02 Monday 849 201 12/12/2016 10:29 Monday 849