Interactive Dashboards and Data Apps with Plotly and Dash
Packt Publishing Limited (Verlag)
978-1-80056-891-4 (ISBN)
Key Features
Develop data apps and dashboards without any knowledge of JavaScript
Map different types of data such as integers, floats, and dates to bar charts, scatter plots, and more
Create controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirements
Book DescriptionPlotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways.
Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it.
Next, you’ll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them.
By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.What you will learn
Find out how to run a fully interactive and easy-to-use app
Convert your charts to various formats including images and HTML files
Use Plotly Express and the grammar of graphics for easily mapping data to various visual attributes
Create different chart types, such as bar charts, scatter plots, histograms, maps, and more
Expand your app by creating dynamic pages that generate content based on URLs
Implement new callbacks to manage charts based on URLs and vice versa
Who this book is forThis Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards – and without having to use JS. Basic knowledge of the Python programming language and HTML will help you to grasp the concepts covered in this book more effectively, but it’s not a prerequisite.
Elias Dabbas is an online marketing and data science practitioner. He produces open-source software for building dashboards, data apps, as well as software for online marketing, with a focus on SEO, SEM, crawling, and text analysis.
Table of Contents
Overview of the Dash Ecosystem
Exploring the Structure of a Dash App
Working with Plotly's Figure Objects
Data Manipulation and Preparation - Paving the Way to Plotly Express
Interactively Comparing Values with Bar Charts and Dropdown Menus
Exploring Variables with Scatter Plots and Filtering Subsets with Sliders
Exploring Map Plots and Enriching Your Dashboards with Markdown
Calculating Data Frequency and Building Interactive Tables
Letting Your Data Speak for Itself with Machine Learning
Turbo-charge Your Apps with Advanced Callbacks
URLs and Multi-Page Apps
Deploying Your App
Next Steps
| Erscheinungsdatum | 27.05.2021 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Software Entwicklung ► Mobile- / App-Entwicklung |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 1-80056-891-6 / 1800568916 |
| ISBN-13 | 978-1-80056-891-4 / 9781800568914 |
| Zustand | Neuware |
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