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.
If you like what you just read & want to continue your analytics learning, subscribe to our emails, follow us on twitter or like our facebook page.
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.
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.
as a data analyst my day starts with analytics vidhya :) you people amaze me daily with a fresh and very useful articles :) keep the good work rolling :D
Thanks hemanth ....
Analytics Vidhya is responsible to ignite the interest that i wanted to do professionally. The way you break down things to the very core of a topic without making it complex is applaudable