Analytics And Visualization In R || CMA 6 | Day 3

In this engaging and interactive session, we delve into the powerful graphical capabilities of R and explore how R can serve as both a data analysis tool and a self-learning platform. Beginning with a quick recap of descriptive statistics (mean, standard deviation) and scatter plots for infant weight data, we gradually transition into R's graphical demos.

Participants learn:

How to explore various pre-built graphical demonstrations using demo(graphics), demo(persp), demo(image), and more.

How R can automatically generate complex 2D and 3D visualizations with corresponding code.

The importance of interpreting what each demo does, not just running it.

How to access and navigate R’s built-in help system using help.start() and ?function_name.

Whether you're new to R or revisiting it after a long break from mathematics or coding, this session is designed to inspire confidence and curiosity. You’ll see how R not only produces professional-level plots but also supports learning through in-built guides and demonstrations.

By the end of the session, you'll know:

That R can produce nearly any graph you've ever seen.

Where to find examples and get help as you build your R skills.

That beautiful and complex data visualizations are possible—even as a beginner.

This is just the beginning. As the course progresses, you'll learn how to create and customize these plots yourself, with confidence and creativity.

Видео Analytics And Visualization In R || CMA 6 | Day 3 канала ICAMMDA FUOYE