Dashboards for All

Learn to create powerful dashboards using Python in this comprehensive 3-hour 41-minute tutorial from PyCon US. Explore various open-source libraries like bokeh, holoviews, and panel to build interactive data visualizations that tell compelling stories. Gain insights into data types, structures, and visualization techniques while working with real-world datasets. Master the art of reverse engineering data visualizations and apply concepts from diverse fields. Dive into geoviews, static vs. dynamic visualizations, and best practices for data presentation. Tackle a housing scenario to practice creating bar charts and implementing group-by operations. Suitable for data professionals across industries and skill levels, this tutorial equips you with the tools to effectively communicate insights and metrics through customized dashboards.

Introduction
Welcome
Lesson Overview
Lesson Outline
Lesson Goals
Geoviews
Notebooks
Data Visualization
Types of Data
Encoding Data
Static vs Dynamic
Static Visualization
Dos
Donts
Trends
Housing
Scenario
Dataset
Data Path
Data Types
Tools
Panel
Bars
Bar Charts
Group By