This tutorial is about Canada based technical computing company Plotly which is also known for its URL. Here, you will learn about how to develop data analytics and visualization tools. Moreover, this tutorial describes the features of Plotly’s Python graphing library to make interactive and publication-ready graphs for both online and offline viewing.
Audience
The tutorial is aptly designed for all those who are passionate about learning online graphing, analytics, and statistics tools. Furthermore, it is for those individuals who have keen interest in understanding how Plotly helps in providing tools for scientific graphing libraries of the computer programming languages such as Python, R, MATLAB, Perl, Julia, Arduino, and REST.
Prerequisites
To work with Plotly, you need to create an account on the official website. The details about how to create an account and get login is discussed in the tutorial. If you are novice to knowledge about data analytics, visualization tools or any of the programming languages like Python, R, MATLAB, Arduino, REST, Julia and Perl, we suggest you to go through tutorials related to these before proceeding with this tutorial.
Plotly is a Montreal based technical computing company involved in development of data analytics and visualisation tools such as Dash and Chart Studio. It has also developed open source graphing Application Programming Interface (API) libraries for Python, R, MATLAB, Javascript and other computer programming languages.
Some of the important features of Plotly are as follows −
- It produces interactive graphs.
- The graphs are stored in JavaScript Object Notation (JSON) data format so that they can be read using scripts of other programming languages such as R, Julia, MATLAB etc.
- Graphs can be exported in various raster as well as vector image formats