Write an R notebook that explores Boston police department daily dispatches using the techniques from the first two weeks of class.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Submit with your .Rmd and .html files. There is nothing else to turn in!

 

Introduction

The data set boston 911.csv has daily counts of 911 dispatches by the city of Boston for every day of 2012.1 Variables are

 

 

Date Date in MM/DD/YY format

BPD Number of police department dispatches BFD Number of fire department dispatches EMS Number of emergency medical dispatches

Note that 2012 is a leap year, so there are 366 rows in the data set.

In this assignment, you’ll focus only on Boston police dispatches (BPD). The other variables could be a source of practice data in the future.

 

Assignment

Write an R notebook that explores Boston police department daily dispatches using the techniques from the first two weeks of class. Besides correct usage of time series tools, the notebook should present your work well.

Parts of that narrative should include:

• An introduction to the data set and contents of the analysis

• A nice plot of the BPD time series.2

• Qualitative description of the time series plot. Be thorough! Use terminology from Week 1, mention dates of interest (look them up), and connect the plot with context.

• Further discussion surrounding seasonality (does it exist?). You might use a seasonal plot (as in Week 1) and context to help make a case.

• A comparison of the three prediction strategies discussed in Week 2. How do their in-sample accuracies compare? How reasonable do they seem based on context? Is

one strategy clearly recommended? What does each of the strategies forecast for, say, number of police dispatches on January 5, 2013?

• A nice plot of the BPD time series along with the in-sample predictions for the three methods. Make sure the plot has good labels.

The assignment must be done as an R notebook. Comments made during lecture Week 2 and the Random Walk example notebook will help.

 

Attachments:

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