Data Visualization with R Training

Live Online & Classroom Enterprise Training

Data Visualization with R focuses on creating insightful and interactive graphics using libraries like ggplot2, plotly, and Shiny. It helps transform complex data into clear, visually appealing charts and dashboards for better analysis and decision-making.

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What is Data Visualization with R Training about?

This course provides a comprehensive introduction to data visualization using R. It covers fundamental and advanced visualization techniques using popular libraries such as ggplot2, lattice, and plotly. Participants will learn how to create compelling visualizations that effectively communicate insights from data. The course includes hands-on exercises to develop proficiency in building various types of plots, customizing visuals, and working with interactive dashboards.

What are the objectives of Data Visualization with R Training ?

Understand the principles of data visualization and its importance
Use ggplot2 for creating static visualizations
Leverage lattice for statistical data visualization
Build interactive dashboards using plotly and Shiny
Customize and enhance plots with color palettes, annotations, and themes
Create visual representations for different types of datasets
Interpret and present data effectively through visual storytelling

Who is Data Visualization with R Training for?

Data analysts and scientists
Business analysts
R programmers and developers
Students and researchers working with data
Anyone interested in data visualization and storytelling

What are the prerequisites for Data Visualization with R Training?

Basic knowledge of R Programming

Available Training Modes

Live Online Training

3 Days

Self-Paced Training

30 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Data Visualization

Importance of data visualization

Types of data visualization techniques

Overview of R visualization libraries

Best practices in data visualization

Module 2: Getting Started with ggplot2

Introduction to ggplot2 and the grammar of graphics

Creating basic plots (line, bar, scatter, pie charts)

Customizing plots (axes, labels, titles, colors)

Working with facets and themes

Module 3: Advanced ggplot2 Techniques

Adding annotations and text to plots

Using themes and styles

Creating complex visualizations with multiple layers

Exporting and saving visualizations

Module 4: Statistical Data Visualization with Lattice

Introduction to lattice and its advantages

Creating categorical plots (boxplot, violin plot, density plot)

Visualizing distributions and relationships

Customizing lattice plots

Module 5: Interactive Visualizations with Plotly and Shiny

Introduction to plotly and Shiny for interactivity

Creating interactive line, bar, and scatter plots

Using Shiny for interactive web applications

Building interactive dashboards with multiple charts

Module 6: Data Storytelling and Dashboard Design

Principles of effective data storytelling

Designing dashboards with multiple charts

Enhancing interactivity with widgets and filters

Case studies and real-world applications

Module 7: Hands-on Project and Final Assessment

Implementing a complete data visualization project

Creating a dashboard for a real-world dataset

Final project presentation and peer review

Who is the instructor for this training?

The trainer for this Data Visualization with R Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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