Python Dash

Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data and make it visually appealing. This is a quick and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards before, such as election result visualizations that can be updated in real time or population maps that can be filtered by demographic. With the Python Dash library, you'll create analytic dashboards that present data in effective, usable, and elegant ways in just a few lines of code.

The book is fast-paced and caters to those entirely new to dashboards. It will guide you through the necessary software and then get straight into building the dashboards themselves. You'll learn the basic format of a Dash app in a Twitter analysis dashboard that tracks the number of likes over time. You'll then build your skills through three more sophisticated projects. The first compares world data in three areas: volume of internet usage, percentage of parliament seats held by women, and CO2 emissions. The second is a financial portfolio dashboard that models your investments, and the third visualizes machine learning algorithms. The final chapter equips you with some useful skills, such as debugging your code and applying color themes.

In this book you will:

• Create and run your first Dash apps
• Use the pandas library to manipulate and analyze social media and API data
• Create a variety of stunning and effective charts using Plotly
• Learn to use bar charts, choropleth maps, contour plots, and more
• Examine and build on existing apps written by professionals

Dash combines several technologies to help you build dashboards quickly and efficiently. This book will do the same.