Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Advanced charts | Introduction to Jupyter notebook: R
Introduction to Jupyter notebook: R
course content

Course Content

Introduction to Jupyter notebook: R

Introduction to Jupyter notebook: R

First meet with interfaceVariablesFunctionsLibraries and datasetsChartsAdvanced chartsFinish line

bookAdvanced charts

As we mentioned before, Jupyter provides us in particular with ggplot2 library, which allows us to build charts in a bit advanced way.

Task

  1. Load ggplot2 library
  2. Choose only those part of dataset representing May month.
  3. Choose the characteristic we want to represent.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

As we mentioned before, Jupyter provides us in particular with ggplot2 library, which allows us to build charts in a bit advanced way.

Task

  1. Load ggplot2 library
  2. Choose only those part of dataset representing May month.
  3. Choose the characteristic we want to represent.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 6
AVAILABLE TO ULTIMATE ONLY
some-alt