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Visualizing Big Data with Trelliscope in R
4.8(43)6k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
Building on foundational ggplot2 skills, this beginner course focuses on scalable visualization techniques for large datasets. It introduces the Trelliscope approach via the trelliscopejs package to create interactive exploratory displays within your R workflow.
Who It's For
R programmers and data analysts who need to explore and visualize large, complex datasets through scalable faceting techniques.
Key Takeaways
- Scalable Faceting: Learn scalable faceting methods designed to handle large-scale data visualization in R.
- Trelliscope Integration: Utilize the trelliscopejs package to seamlessly connect interactive displays into existing R workflows.
- Interactive Exploration: Create interactive visual displays that make complex big data accessible for deep visual inspection.
About this course
Having honed your visualization skills by learning ggplot2, it's now time to tackle larger datasets. In this course, you will learn several techniques for visualizing big data, with particular focus on the scalable visualization technique of faceting. You will learn how to put this technique into action using the Trelliscope approach as implemented in the trelliscopejs R package. Trelliscope plugs seamlessly into standard R workflows and produces interactive visualizations that allow you to visually explore your data in detail. 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.
Price
Free
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