Interactive Dashboards and Data Apps with Plotly and Dash: Build data visualization apps with highly custom user interfaces using Python

Build web-based, mobile-friendly analytic apps and interactive dashboards with Python

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 Description

Plotly'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 for

This 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.

Table of Contents

1. Overview of the Dash Ecosystem
2. Exploring the Structure of a Dash App
3. Working with Plotly’s Figure Objects
4. Data Manipulation and Preparation - Paving the Way to Plotly Express
5. Interactively Comparing Values with Bar Charts and Dropdown Menus
6. Exploring Variables with Scatter Plots and Filtering Subsets with Sliders
7. Exploring Map Plots and Enriching Your Dashboards with Markdown
8. Calculating Data Frequency and Building Interactive Tables
9. Letting Your Data Speak for Itself with Machine Learning
10. Turbo-charge Your Apps with Advanced Callbacks
11. URLs and Multi-Page Apps
12. Deploying Your App
13. Next Steps

Elias Dabbas is an Online marketing expert who owns the company, The Media Supermarket. He has experience in Python open-source development, data visualization, data manipulation, building interactive data apps, and dashboards. He works in Online marketing, SEO, SEM, data science fields. He has experience in building custom dashboards as well as data-driven strategies and implementations for companies in different industries.