Products
Features
YouTube Video Summarizer
Summarize YouTube videos
Web & PDF Highlighter
Highlight web pages & PDFs
Chat with PDF
Ask any PDF questions with AI
Ask AI Clone
Chat with your highlights & memories
Audio Transcriber
Transcribe audio files to text
Glasp Reader
Read and highlight articles
Kindle Highlight Export
Export your Kindle highlights
Idea Hatch
Hatch ideas from your highlights
Integrations
Obsidian Plugin
Notion Integration
Pocket Integration
Instapaper Integration
Medium Integration
Readwise Integration
Snipd Integration
Hypothesis Integration
Apps & Extensions
Chrome Extension
Safari Extension
Edge Add-ons
Firefox Add-ons
iOS App
Android App
Discover
Discover
Ideas
Discover new ideas and insights
Articles
Curated articles and insights
Books
Book recommendations by great minds
Posts
Essays and notes from readers
Quotes
Inspiring quotes collection
Videos
Curated videos and summaries
Explore Glasp
Glasp Newsletter
Weekly insights and updates
Glasp Talk
Interview series with great minds
Glasp Blog
Latest news and articles
Glasp Use Cases
Learn how others use Glasp
Build & Support
Glasp API
Access Glasp's API for developers
MCP Connector
Connect Glasp to Claude & ChatGPT
Community
Glasp Reddit Community
Students
Student discount and benefits
FAQs
Frequently Asked Questions
AboutPricing
DashboardLog inSign up

7.4.4 R7. Visualization - Video 3: Bar Charts in R

December 13, 2018
by
MIT OpenCourseWare
YouTube video player
7.4.4 R7. Visualization - Video 3: Bar Charts in R

TL;DR

This video tutorial explains how to create a bar plot using the ggplot2 library in R, including formatting and ordering features.

Transcript

Okay, so now we're going to start with a simple bar plot of the MIT international student data. So first, let's load the ggplot library, ggplot2, and load the data frame. So intl = read.csv("intl.csv"). Now, the structure of this date frame is very simple. There are two columns, two variables. The first one, the region, and the second one is the pe... Read More

Key Insights

  • 📚 Creating a bar plot in R using the ggplot2 library involves loading the library, loading the data frame, and specifying the variables for the x and y axes.
  • 🤢 The "geom_bar" function is used to create the bars in the plot, and the "geom_text" function can be used to add labels to the bars.
  • 💁‍♂️ The "reorder" function can be used to order the bars based on a specific variable, and multiplying the y-axis values by 100 can convert them to percentage form.

Install to Summarize YouTube Videos and Get Transcripts

Explore YouTube Video Summarizer or Get YouTube Transcript Extractor

Questions & Answers

Q: How can I create a bar plot in R using the ggplot library?

To create a bar plot, you need to load the ggplot2 library and load your data frame. Specify the variables for the x and y axes, and use the "geom_bar" geometry. You can add labels using the "geom_text" function.

Q: How can I order the bars in the plot based on a specific variable?

You can use the "reorder" function to order the bars based on a specific variable. For example, if you want to order the bars in descending order of the percentage of international students, you can use the command "Region = reorder(Region, -PercentOfIntl)".

Q: How can I format the y-axis values to be between 0 and 100 instead of 0 and 1?

You can multiply the values on the y-axis by 100 to convert them from decimal form to percentage form. You can use the command "intl$PercentOfIntl = intl$PercentOfIntl * 100" to do this.

Q: How can I customize the appearance of the plot, such as the color of the bars and the rotation of the x-axis labels?

To customize the appearance, you can use the "fill" argument in the "geom_bar" function to specify the color of the bars. You can use the "theme" function to modify the axis labels, such as removing the word "Region" from the x-axis and rotating the labels using the "axis.text.x" argument.

Summary & Key Takeaways

  • The video demonstrates how to create a bar plot using the ggplot2 library in R, loading the data frame and specifying the variables.

  • It shows how to customize the plot, including adding labels to the bars and formatting the axes.

  • The tutorial also covers how to reorder the bars in the plot based on a specific variable and how to multiply the values on the y-axis for better readability.


Read in Other Languages (beta)

English

Share This Summary 📚

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator

Explore More Summaries from MIT OpenCourseWare 📚

Recitation 10: Quiz 1 Review thumbnail
Recitation 10: Quiz 1 Review
MIT OpenCourseWare
Laplace Equation thumbnail
Laplace Equation
MIT OpenCourseWare
L13.8 A Simple Example thumbnail
L13.8 A Simple Example
MIT OpenCourseWare

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator

Apps & Extensions

  • Chrome Extension
  • Safari Extension
  • Edge Add-ons
  • Firefox Add-ons
  • iOS App
  • Android App

Key Features

  • YouTube Video Summarizer
  • Web & PDF Summarizer
  • Web & PDF Highlighter
  • Chat with PDF
  • Ask AI Clone
  • Audio Transcriber
  • Glasp Reader
  • Kindle Highlight Export
  • Idea Hatch

Integrations

  • Obsidian Plugin
  • Notion Integration
  • Pocket Integration
  • Instapaper Integration
  • Medium Integration
  • Readwise Integration
  • Snipd Integration
  • Hypothesis Integration

More Features

  • APIs
  • MCP Connector
  • Blog & Post
  • Embed Links
  • Image Highlight
  • Personality Test
  • Quote Shots

Company

  • About us
  • Blog
  • Community
  • FAQs
  • Job Board
  • Newsletter
  • Pricing
Terms

•

Privacy

•

Guidelines

© 2026 Glasp Inc. All rights reserved.