Course details

Advanced Visualizations & Dashboards: Visualization Using R

Advanced Visualizations & Dashboards: Visualization Using R


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover how to build advanced charts using Python and Jupyter Notebook. Explore R and ggplot2 visualization capabilities and how to build charts and graphs with them.



Expected Duration (hours)
0.6

Lesson Objectives

Advanced Visualizations & Dashboards: Visualization Using R

  • list the different types of charts that can be implemented and their relevance in data visualization
  • demonstrate how to create a stacked bar plot
  • create Matplotlib animations
  • use NumPy and Plotly to create interactive 3D plots in Jupyter Notebook
  • list graphical capabilities of R from the perspective of data visualization
  • build heat maps and scatter plots using R
  • implement correlogram and build area charts using R
  • recognize ggplot2 capabilities from the perspective of data visualization
  • build and customize graphs using ggplot2 in R
  • create heat maps using R, create scatter plots using R, and create area charts using R
  • Course Number:
    it_dsavdsdj_02_enus

    Expertise Level
    Intermediate