Course
Case Study: Analyzing City Time Series Data in R
IntermediateSkill Level
Updated 01/2026RProbability & Statistics4 hr12 videos50 Exercises3,950 XP14,043Statement of Accomplishment
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Prerequisites
Manipulating Time Series Data in R1
Flight Data
You've been hired to understand the travel needs of tourists visiting the Boston area. As your first assignment on the job, you'll practice the skills you've learned for time series data manipulation in R by exploring data on flights arriving at Boston's Logan International Airport (BOS) using xts & zoo.
2
Weather Data
In this chapter, you'll expand your time series data library to include weather data in the Boston area. Before you can conduct any analysis, you'll need to do some data manipulation, including merging multiple xts objects and isolating certain periods of the data. It's a great opportunity for more practice!
3
Economic Data
Now it's time to go further afield. In addition to flight delays, your client is interested in how Boston's tourism industry is affected by economic trends. You'll need to manipulate some time series data on economic indicators, including GDP per capita and unemployment in the United States in general and Massachusetts (MA) in particular.
4
Sports Data
Having exhausted other options, your client now believes Boston's tourism industry must be related to the success of local sports teams. In your final task on this project, your supervisor has asked you to assemble some time series data on Boston's sports teams over the past few years.
Case Study: Analyzing City Time Series Data in R
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FAQs
What Boston-related datasets are explored in this course?
You work with data on flights arriving at Logan International Airport, local weather records, economic indicators like GDP and unemployment, and Boston sports team performance.
Which R packages and tools are used for time series manipulation?
You use the xts and zoo packages for time series data manipulation, including merging, subsetting, and isolating specific time periods from the datasets.
What R experience do I need before starting this case study?
You need Intermediate R, plus courses on manipulating time series data in R and working with dates and times in R. This is an intermediate-level course.
How is the course structured around its city theme?
Each of the four chapters tackles a different Boston dataset: flights, weather, economic trends, and sports, all framed as assignments from a tourism consulting client.
Does this course teach time series modeling or focus on data manipulation?
It focuses on data manipulation and exploration. You practice merging xts objects, isolating time periods, and preparing data for analysis rather than fitting statistical models.
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