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.
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.
Box PlotChartscheat sheetcodesdata visualizationHeat MaphistograminfographicLine ChartMap ChartRr programming language cheat sheetScatter Chart
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.
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