R-analyst Cheat sheet: Data Visualization in R

Sunil Ray Last Updated : 01 Aug, 2024
2 min read

Introduction

Data visualization has become an integral part of data science work flow. Hence, your main tool needs to have strong capabilities on both the fronts – data analysis as well as data visualization. Gone are the days when you could live with a tool which was good only in one of these.

With this change in landscape, R has gained immense popularity because of its awesome data visualization capabilities. With a few lines of code, you can create beautiful charts and data stories. R has awesome libraries to create basic and more evolved visualizations like Bar Chart, Histogram, Scatter Plot, Map visualization, Mosaic Plot and various others. If you’re looking for a quick reference, an R programming language cheat sheet can be incredibly helpful. Here is the cheat sheet of popular visualization for representing data. You can keep this handy for your use.

:For those who want to copy the relevant codes, you can download the PDF version of the sheet here.

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To view this complete article, visit Comprehensive Guide to Data Visualization in R.

If you wish to gain a complete knowledge on data visualization, here’s the ultimate guide on data visualization.

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Why is data visualization important in data science, and how does R support it?

Data visualization is crucial for understanding and communicating insights from complex data. R supports this need with powerful libraries for creating a wide range of visualizations, from basic charts to advanced plots.

What are some popular visualization types in R, and where can I find a guide?

Popular visualizations in R include Bar Charts, Histograms, Scatter Plots, and Map visualizations. You can find a comprehensive guide and an R programming language cheat sheet in the article Comprehensive Guide to Data Visualization in R.

Sunil Ray is Chief Content Officer at Analytics Vidhya, India's largest Analytics community. I am deeply passionate about understanding and explaining concepts from first principles. In my current role, I am responsible for creating top notch content for Analytics Vidhya including its courses, conferences, blogs and Competitions.

I thrive in fast paced environment and love building and scaling products which unleash huge value for customers using data and technology. Over the last 6 years, I have built the content team and created multiple data products at Analytics Vidhya.

Prior to Analytics Vidhya, I have 7+ years of experience working with several insurance companies like Max Life, Max Bupa, Birla Sun Life & Aviva Life Insurance in different data roles.

Industry exposure: Insurance, and EdTech

Major capabilities: Content Development, Product Management, Analytics, Growth Strategy.

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