Data Analytics: Scraping Data using Hadley Wickam's Rvest package in R

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In this Guided Project, you will:

Practice Scraping Web Data using Rvest for Data Analytics.

Introduction and practice with CSS Selectors.

Executing Rvest functions to pull data from IMBD, American Ninja Warrior and Wikipedia.

Clock2 Hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Random Forest model to the data using the FFTrees package in R, and examine the results using a Confusion Matrix. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

WikipediaData AnalysisWeb ScrapingRvest

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Task 1: The Leaner will receive an Overview of the Project. There will be a short introduction of the Interface along with an Instructor Bio.

  2. Task 2: The Learner will be introduced to Rvest where they will scrape movie data from IMBD.

  3. Task 3: The Learner will get more practice with pulling data from Wikipedia.

  4. Task 4: The Learner will pull American Ninja Warriors Data for more practice.

  5. Task 5: The Learner will be introduced to scripts that can automate scraping.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.