Analyzing Movie Ratings
- Guided Project
- 0.1 hours
- Intermediate
- R
Practice web scraping with R to extract IMDb movie data, analyze ratings and votes, and build data visualization skills.
Overview
In this project, you'll assume the role of a data analyst tasked with scraping movie data from IMDb using R. You'll extract details like titles, years, runtimes, genres, ratings, and votes for the top 30 movies released between March and July 2020.
Applying your web scraping skills, you'll use packages like rvest and dplyr to load the webpage, find the right CSS selectors, and extract the desired information. You'll also practice data cleaning by handling missing values. Finally, you'll visualize the relationship between user ratings and number of votes using ggplot2.
Objective: Use R to scrape and analyze IMDb movie data, uncovering trends in ratings and votes to build data extraction, manipulation and visualization skills for real-world applications.
What You'll Learn
- ✓ Expand your portfolio with a guided web scraping project
- ✓ Overcome common setbacks in data analysis
Before You Start
- ✓ Understanding the structure of webpages using HTML to locate desired data
- ✓ Defining the basics of web scraping to extract data from websites
- ✓ Using CSS selectors to precisely extract specific webpage elements
- ✓ Implementing web scraper tools in R to automate data extraction from websites
Project Steps
11 steps
- 1 Introduction
- 2 Loading the Web Page
- 3 String Manipulation Reminder
- 4 Setting down a strategy
- 5 Extracting Elements from the Header
- 6 Extracting the Movies' Features
- 7 Extracting the Movies' Ratings
- 8 Extracting the Movies' Votes
- 9 Dealing with Missing Values
- 10 Putting It All Together and Visualizing
- 11 Next Steps
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