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 pretty. A swift
and practical introduction to building interactive data visualization apps in Python known as
dashboards. You've seen dashboards before think election result visualizations you can update
in real time or population maps you can filter by demographic. With the Python Dash library
you'll create analytic dashboards that present data in effective usable elegant ways in just
a few lines of code. The book is fast-paced and caters to those entirely new to dashboards. It
will talk you through the necessary software 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 numbers of likes over time. You'll then build up 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 is visualizesmachine learning algorithms.
The final chapter sets you up with some useful final skills like 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 chloropleth maps contour plots and
more Examine and build on existing apps written by the pros Dash combines several technologies
to get you building dashboards quickly and efficiently. This book will do the same.
