- Plotly Tutorial
- Plotly - Home
- Plotly - Introduction
- Plotly - Environment Setup
- Plotly - Online & Offline Plotting
- Plotting Inline with Jupyter Notebook
- Plotly - Package Structure
- Plotly - Exporting to Static Images
- Plotly - Legends
- Plotly - Format Axis & Ticks
- Plotly - Subplots & Inset Plots
- Plotly - Bar Chart & Pie Chart
- Plotly - Scatter Plot, Scattergl Plot & Bubble Charts
- Plotly - Dot Plots & Table
- Plotly - Histogram
- Plotly - Box Plot Violin Plot & Contour Plot
- Plotly - Distplots, Density Plot & Error Bar Plot
- Plotly - Heatmap
- Plotly - Polar Chart & Radar Chart
- Plotly - OHLC Chart Waterfall Chart & Funnel Chart
- Plotly - 3D Scatter & Surface Plot
- Plotly - Adding Buttons/Dropdown
- Plotly - Slider Control
- Plotly - FigureWidget Class
- Plotly with Pandas and Cufflinks
- Plotly with Matplotlib and Chart Studio
- Plotly Useful Resources
- Plotly - Quick Guide
- Plotly - Useful Resources
- Plotly - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Plotly Tutorial
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.