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

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在此指导项目中,您将:

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
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

WikipediaData AnalysisWeb ScrapingRvest

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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