Visualizing Big Data with Trelliscope in R

Name: Visualizing Big Data with Trelliscope in R
Brand: Careervira
Price: 1178 HKD
Availability: InStock
Rating: 1 (1 reviews)

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DataCamp

Course Report

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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

Now you can tackle larger datasets after mastering ggplot2. This course will show you how to visualize large data using scalable visualization techniques such as faceting. This course will show you how to use Trelliscope, which is part of the trelliscopejs packages. Trelliscope seamlessly integrates with standard R workflows, allowing you to create interactive visualizations that allow you to explore your data deeply. This course will show you how to create interactive exploratory displays using large datasets. This course will help you and your colleagues gain new insights.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

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

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Introduction to the Tidyverse

What You Will Learn

By the end of this course, you will be able to easily create interactive exploratory displays of large datasets that will help you and your colleagues gain new insights into your data

In this course, you will learn several techniques for visualizing big data, with particular focus on the scalable visualization technique of faceting

Learn how to visualize big data in R using ggplot2 and trelliscopejs

You will learn how to put this technique into action using the Trelliscope approach as implemented in the trelliscopejs R package

Course Content

Expand all sections

Module 1: General strategies for visualizing big data

Module 2: ggplot2 + TrelliscopeJS

Module 3: Trelliscope in the Tidyverse

Module 4: Case Study: Exploring Montreal BIXI Bike Data

Course Instructors

Ryan Hafen

Author of TrelliscopeJS

Ryan Hafen is a statistical consultant and a remote adjunct assistant professor in the Statistics Department at Purdue University. Ryan's research focuses on methodology, tools, and applications in e...