Plotly Graphs

Overview

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Learn to create dynamic and interactive data visualizations using Python's Plotly library in this comprehensive 7-hour tutorial series. Master various chart types including bar graphs, sunburst treemaps, 3D scatter plots, animated scatter plots, racing bar graphs, pie charts, strip plots, box plots, violin plots, and heatmaps. Explore advanced techniques like mapping over 1 million points with Plotly Datashader and creating icicle charts. Dive into Dash Plotly for building interactive web applications and learn how to deploy your first app using Heroku. Gain practical skills to effectively visualize and analyze data, making complex information more accessible and engaging.

Syllabus

Introduction to Plotly Data Visualization.
Bar Graph -- Python Plotly.
Sunburst Treemap Tutorial - Plotly.
Create 3D Scatter Plot -- Python Plotly.
Animated Scatter Plot - Python Plotly.
Create Racing Bar Graph - Python Plotly.
Pie Chart -- Python Plotly.
How to build a Strip Plot -- Python Plotly.
Scatter Plot -- Python Plotly (part 1).
Scatter Plot -- Python Plotly (part 2).
Box & Violin Plots - Python Plotly.
Introduction to Dash Plotly - Data Visualization in Python.
Mapping over 1 Million points with Plotly Datashader.
Deploy your First App with Heroku and Dash Plotly.
Heatmap for Subscription Churn - Dash Plotly.
Create Icicle Charts with Plotly Express.