Data Visualization using Pandas and Plotly | Creating Visualizations using Pandas

Learn how to create data visualizations using Pandas and Plotly. We will cover brief chart theory and pair programs to create a chart using Python, pandas, and plotly. This crash course is intended for intermediate users with prior experience in Python.

Telling a story with your data is more important than ever. The best insights and machine learning models will not create an impact unless you are able to effectively communicate with your stakeholders through effective data visualization.

By the end of the session, you will:
- Have an introduction to chart theory. Outlining data to visual representations
- Get access to a Google Colab Notebook that you’re able to code your own interactive charts with
- Transform data to be ingested by pandas and Plotly
- Customize your chart with options & properties to make it unique for your use case
- Save and share your chart with your colleagues or audience

We hope this tutorial will help you gain great insights so that you become a data visualization pro!

Table of Contents:
00:00 Introduction
05:46 Goal of a business visualization
07:25 Science in data visualization
12:25 Art in data visualization
18:20 Making a chart- Demo
36:40 QnA

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[oryaahmad]

Thank you so much for this quick tutorial.