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.
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 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?
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?
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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