Visualizing Big Data in R

Join us for this hands-on training where you will learn techniques to help you clearly visualize the most stubbornly tricky big datasets. As your datasets get bigger, new problems begin to emerge. Having lots of observations, or lots of variables, or lots of categories for a variable can all make it harder to understand what is happening with your dataset. This session runs for three hours, allowing you time to really immerse yourself in the subject.

What will I learn?

You will learn how to:

• Methods of dealing with overplotting with ggplot2

• Plot types for big data: pair plots, correlation heatmaps, and parallel coordinates plots with GGally and ggcorrplot.

• Interactive big data plots with trelliscope.

What should I prepare?

Please note, a Gmail account is required in order to use Colaboratory, a free Jupyter notebook environment. You can join the webinar from your web browser following the instructions you receive in your registration email. All required data/resources will be provided in the training.

Who should attend?

This session is open to all DataCamp Premium learners who are already comfortable using ggplot2 to visualize datasets in R, and who want to master the art of data visualization. We recommend that you have taken the following course before attending:

• Intermediate Data Visualization with ggplot2

• Data Manipulation with dplyr

Resources

• Slides

• Notebook for those whose last name begins with A-F

• Notebook for those whose last name begins with G-J

• Notebook for those whose last name begins with K-O

• Notebook for those whose last name begins with P-U

• Notebook for those whose last name begins with V-Z

Richie Cotton

Learning Solutions Architect at DataCamp