# Advanced Visualizations & Dashboards: Visualization Using R

Data Visualization    |    Intermediate
• 11 videos | 34m 41s
• Includes Assessment
Rating 4.3 of 12 users (12)
Discover how to build advanced charts by using Python and Jupyter Notebook for data science in this course, which explores R and ggplot2 visualization capabilities and how to build charts and graphs with these tools. Key concepts in this course include different types of charts that can be implemented and their relevance in data visualization; how to create a stacked bar plot; how to create Matplotlib animations; and how to use NumPy and Plotly to create interactive 3D plots in Jupyter Notebook. Learners are shown the graphical capabilities of R from the perspective of data visualization; how to build heat maps and scatter plots using R; and how to implement correlogram and build area charts using R. Next, you will explore ggplot2 capabilities from the perspective of data visualization; learn how to build and customize graphs by using ggplot2 in R; and how to create heat maps, a representation of data in form of a map or diagram. Finally, learn to create scatter plots and create area charts with R.

## WHAT YOU WILL LEARN

• 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

## IN THIS COURSE

• After completing this video, you will be able to list the different types of charts that can be used and their relevance in data visualization.
• 3.  Stacked Bar Plot
In this video, you will learn how to create a stacked bar graph.
• 4.  Animate Plots with Matplotlib
This video will teach you how to create Matplotlib animations.
• 5.  Plotting in Jupyter Notebook
During this video, you will learn how to use NumPy and Plotly to create interactive 3D plots in a Jupyter Notebook.
• 6.  Graphics in R
After completing this video, you will be able to list R's graphical capabilities for data visualization.
• 7.  Heat Map and Scatter Plot in R
During this video, you will learn how to build heat maps and scatter plots using R.
• 8.  Correlogram and Area Chart in R
During this video, you will learn how to implement a correlogram and build area charts using R.
• 9.  ggplot2 Capabilities
Upon completion of this video, you will be able to recognize the capabilities of ggplot2 from the perspective of data visualization.
• 10.  Customize ggplot2 Graphs
During this video, you will learn how to build and customize graphs using ggplot2 in R.
• 11.  Exercise: Creating Heat Maps and Scatter Plots
In this video, find out how to create heat maps, scatter plots, and area charts using R.

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

## YOU MIGHT ALSO LIKE

Rating 5.0 of 6 users (6)
Rating 4.5 of 78 users (78)
Rating 4.0 of 1 users (1)

## PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Rating 4.4 of 2479 users (2479)
Rating 4.2 of 118 users (118)
Rating 4.6 of 30 users (30)