Course
Visualizing Big Data with Trelliscope in R
BasicSkill Level
Updated 08/2024RData Visualization4 hr16 videos46 Exercises3,450 XP6,259Statement of Accomplishment
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Loved by learners at thousands of companies
Training 2 or more people?
Try DataCamp for BusinessCourse Description
Prerequisites
Introduction to the Tidyverse1
General strategies for visualizing big data
Learn different strategies for plotting big data using ggplot2, including calculating and plotting summary statistics, various techniques to deal with overplotting, and principles of small multiples with faceting, which leads into Trelliscope.
2
ggplot2 + TrelliscopeJS
In the previous chapter you saw how faceting can be used as a powerful technique for visualizing a lot of data that can be naturally partitioned in some meaningful way. Now, using the trelliscopejs package with ggplot2, you will learn how to create faceted visualizations when the number of partitions in the data becomes too large to effectively view in a single screen.
3
Trelliscope in the Tidyverse
The ggplot2 + trelliscopejs interface is easy to use, but trelliscopejs also provides a faceted plotting mechanism that gives you much more flexibility in what plotting system you use and how to specify cognostics. You will learn all about that in this chapter!
4
Case Study: Exploring Montreal BIXI Bike Data
The Montreal BIXI bike network provides open data for every bike ride, including the date, time, duration, and start and end stations of the ride. In this chapter, you will analyze data from over 4 million bike rides in 2017, going between 546 stations. There are many interesting exploratory questions to ask from this data and you will create exploratory visualizations ranging from summary statistics to detailed Trelliscope visualizations that will give you interesting insight into the data.
Visualizing Big Data with Trelliscope in R
Course Complete
Earn Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CVShare it on social media and in your performance reviewEnroll Now
FAQs
What is Trelliscope and how does it differ from standard ggplot2 faceting?
Trelliscope extends ggplot2 faceting to handle datasets with too many partitions for a single screen. It creates interactive displays you can sort, filter, and explore in detail.
What real dataset is used in the case study chapter?
Chapter 4 uses Montreal BIXI bike network data from 2017, covering over 4 million rides across 546 stations. You will create exploratory visualizations from summary statistics to detailed Trelliscope displays.
What are the only prerequisites for this course?
The only prerequisite is Introduction to the Tidyverse. If you are comfortable with basic tidyverse workflows and ggplot2, you are ready to start.
Does the course cover strategies for dealing with overplotting in large datasets?
Yes, Chapter 1 covers techniques for handling overplotting, calculating and plotting summary statistics, and the principles of small multiples before introducing Trelliscope.
What are cognostics in the context of Trelliscope?
Cognostics are summary statistics or metrics associated with each panel in a Trelliscope display. Chapter 3 teaches you how to specify custom cognostics for more flexible faceted visualizations.
Join over 19 million learners and start Visualizing Big Data with Trelliscope in R today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Grow your data skills with DataCamp for Mobile
Make progress on the go with our mobile courses and daily 5-minute coding challenges.