Assignment Directions
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 in an effort 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 or not 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 motorists can
access to find parking space availability in different parking lots
throughout the city.
Part 1: Data Manipulation
Download the Parking Lot Use data set. The data set 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 TimeStampInsert a new column, OccupancyRate, recording occupancy rate as a percentage with 1 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?
DATCB/565 Competency 3 Assessment and Rubric Page 2 of 3
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 of them, prepare a 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 the highest occupancy rates? Is
this what you expected?
Part 2: Presentation
Prepare a 12- to 16-slide presentation with detailed speaker notes and audio, graphs, and tables.
Your
audience is the city council, which is responsible for deciding whether
the city invests 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 box plots 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 the time of day of your
selected 2 parking lots. Include your interpretation of results
Make
a recommendation about continuing with the implementation of this
project.Include speaker notes that convey the details you would give if
you were presenting. You will record your speaker notes. Ensure that the
slides contain only essential information and as little text as
possible.
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