Interactive Data Visualization with plotly in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Interactive graphics allow you to manipulate plotted data in order to gain more insight. Interactive graphics, for instance, allow you to zoom in on a subset of your data without having to create a new plot. You will learn how to create interactive graphics with plotly and R. Data visualization best practices will be covered, as well as new plot types such scatterplot matrixes or binned scatteredplots.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to the Tidyverse

What You Will Learn

In this course, you will learn how to create and customize interactive graphics in plotly using the R programming language

Learn to create interactive graphics entirely in R with plotly

Course Content

Expand all sections

Module 1: Introduction to plotly

Module 2: Styling and customizing your graphics

Module 3: Advanced charts

Module 4: Case Study

Course Instructors

Adam Loy

Assistant Professor of Statistics at Carleton College

Adam is an assistant professor of statistics at Carleton College where he teaches courses in statistics in data science. His research interests lie in statistical graphics and computing, R developmen...