Data science case study an analysis in R, using a variety of packages for web scraping and processing non-tidy data into tidy data frames

November 17, 2017 Mine Çetinkaya-Rundel

Download Materials

Abstract
The observation that “La Quinta is Spanish for ‘next to Denny’s’” is a joke made famous by the late comedian Mitch Hedberg. John Reiser, on his new jersey geographer blog, wrote up an analysis of this joke using data scraped from the respective websites of Denny’s (a diner chain) and La Quinta Inns and Suites (a hotel chain). In this case study we use Reiser’s work as inspiration for conducting a similar analysis in R, using a variety of packages for web scraping and processing non-tidy data into tidy data frames to be used in geospatial analysis.

About the Author

Mine Çetinkaya-Rundel

Mine is Professional Educator at RStudio and Associate Professor of the Practice at Duke University. Her work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, open-source education, and student-centered learning. She is the author of three open-source introductory statistics textbooks as part of the OpenIntro project and teaches the popular Statistics with R MOOC on Coursera.

Follow on Twitter Visit Website More Content by Mine Çetinkaya-Rundel
Previous Video
R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentations that are never out of date.
R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentations that are never out of date.

R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentat...

Next Video
General data science overview - data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication.
General data science overview - data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication.

The courses focuses on data acquisition and wrangling, exploratory data analysis, data visualization, and e...

×

Please register to receive regular updates on our webinars.

!
Thank you!
Error - something went wrong!