Название: The Book of Dash: Build Dashboards with Python and PlotlyАвтор: Adam Schroeder, Christian Mayer
Издательство: No Starch Press
Год: 2022
Страниц: 408
Язык: английский
Формат: epub
Размер: 10.2 MB
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 Plotly Dash framework makes it super easy for you to build your own dashboards. Dashboards are web apps that allow you and your users to dynamically explore data using interactive widgets that receive user input to explain output. Dash apps can be written in pure Python, which means if you’re familiar with Python, you’ll be able to get up and running very quickly. It also means it’s easy to integrate data and results from your existing Python work into a Dash app. Python is very expressive and Dash code can be relatively compact, meaning you’re able to prototype and iterate much more quickly, which can be very useful when developing apps to a deadline or in an agile environment where requirements are regularly changing.
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.
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