Hands On Training

Intermediate Interactive Data Visualization with plotly in R

DataCamp

(3)

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

You can create animated and interactive graphics in R using the plotly package. These will enable you to communicate multivariate stories quickly and efficiently. Learn the basics of plotly, and how to manipulate data to create cumulative animations. You'll also learn how to add filters to your graphics without Shiny.

Highlights

Hands on training

Top 20 Percentile

Rating & Reviews

Top 30 Percentile

Parameters

Hands on training

This course stands out as one of the top 20 percentile options in R for Data Science, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

Rating & Reviews

This highly acclaimed course is among the top-rated in R for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R for Data Science.

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

Interactive Data Visualization with plotly in R

What You Will Learn

Learn to create animated graphics and linked views entirely in R with plotly

In this course, you will extend your understanding of plotly to create animated and linked interactive graphics, which will enable you to communicate multivariate stories quickly and effectively

Along the way, you will review the basics of plotly, learn how to wrangle your data in new ways to facilitate cumulative animations, and learn how to add filters to your graphics without using Shiny

Course Content

Expand all sections

Module 1: Introduction and review of plotly

Module 2: Animating graphics

Module 3: Linking graphics

Module 4: Case Study: Space launches

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...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%