Step-by-Step Data Visualization Guideline with Plotly in R

Time to create interactive charts at the age of data by using this step by step data visualization guideline .

Photo taken by fauxels

You may have visualized data using many different packages with R up till now. Today, I share the life saver Plotly package that I use frequently on my data science journey. The R package will allow you to create more professional and interactive graphics, share them on websites and customize them as you wish. You will be able to use this educational story as a guide during your projects. I will also explain in detail the arguments that are part of the functions. You will be able to proceed by knowing and applying what you are doing. Let’s start!

Plotly

Plotly is an R library/package for creating interactive, publication-quality graphs. Some of the charts you can do are Basic charts, Statistical charts, Scientific charts, Financial charts, Maps, 3D charts, Subplots, Transforms, Animations

Install Plotly

Download the package by using written code below:

install.packages("plotly")

Install from Github