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Interactive Dashboards and Data Apps with Plotly and Dash
Interactive Dashboards and Data Apps with Plotly and Dash

Interactive Dashboards and Data Apps with Plotly and Dash: Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

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Interactive Dashboards and Data Apps with Plotly and Dash

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Key benefits

  • 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

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.

Who is this book 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.

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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 21, 2021
Length: 364 pages
Edition : 1st
Language : English
ISBN-13 : 9781800568914
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Product Details

Publication date : May 21, 2021
Length: 364 pages
Edition : 1st
Language : English
ISBN-13 : 9781800568914
Category :
Languages :
Tools :

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Frequently bought together


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Total $ 180.97
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Total $ 180.97 Stars icon

Table of Contents

17 Chapters
Section 1: Building a Dash App Chevron down icon Chevron up icon
Chapter 1: Overview of the Dash Ecosystem Chevron down icon Chevron up icon
Chapter 2: Exploring the Structure of a Dash App Chevron down icon Chevron up icon
Chapter 3: Working with Plotly's Figure Objects Chevron down icon Chevron up icon
Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express Chevron down icon Chevron up icon
Section 2: Adding Functionality to Your App with Real Data Chevron down icon Chevron up icon
Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus Chevron down icon Chevron up icon
Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders Chevron down icon Chevron up icon
Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown Chevron down icon Chevron up icon
Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables Chevron down icon Chevron up icon
Section 3: Taking Your App to the Next Level Chevron down icon Chevron up icon
Chapter 9: Letting Your Data Speak for Itself with Machine Learning Chevron down icon Chevron up icon
Chapter 10: Turbo-charge Your Apps with Advanced Callbacks Chevron down icon Chevron up icon
Chapter 11: URLs and Multi-Page Apps Chevron down icon Chevron up icon
Chapter 12: Deploying Your App Chevron down icon Chevron up icon
Chapter 13: Next Steps Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(24 Ratings)
5 star 62.5%
4 star 20.8%
3 star 12.5%
2 star 0%
1 star 4.2%
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Charles Tucker Aug 16, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book provides a beginner with everything they need to get started using Plotly and Dash. Plotly is a very powerful data visualization tool and has been my primary choice for over a year. Dash allows building and customizing web apps using only Python, and this book does a very good job of walking through the steps to create a Dash app.For those who already have some Dash experience, it also covers some more advanced functionality including setting up multi-page apps, using callbacks to add layout elements, and suggesting next steps. I've been working with Dash and Plotly for a little more than a year, and I learned about some interesting features including additional options and customizations.I'd highly recommend this book to anyone wanting to learn Dash or those with some experience in Dash wanting to level up.
Amazon Verified review Amazon
roudan Jun 20, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
it is well written with step by step to build a good dashboard with plotly using dash framework. I couldn't put it down. I learnt a lot. Thanks.
Amazon Verified review Amazon
Sonia S Jun 17, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The author has taken care to explain concepts very clearly, and has provided examples that explain each step perfectly as to why and how it is done. Its a perfect tutorial for building interactive beautiful dashboards and apps using python, starting from basic to advanced level. Every building block is very well explained and puts you hands-on to build apps just using python. Totally would serve as another feather-on the hat for Data Science professionals . Definitely recommend it!!
Amazon Verified review Amazon
Gustavo Jul 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a very good book and reference guide to create nice dashboards with Dash and Plotly.I recommend it specially for those who already have knowledge in Python and are familiar with HTML.Dash is a great tool and I had already taken a course prior to that, but this book came as an excellent extra resource for me to consult and create better web apps.The codes are easy to follow and the author gives good explanations in step by step lessons.
Amazon Verified review Amazon
CBatt Aug 11, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Dabbas’ book intimidated me at first - this was covering a whole bunch of topics I’d never covered before - but my nervousness was (very) short-lived. Dabbas is a fantastic writer, able to take complex ideas and make them easy enough for a novice like myself to understand with only a little effort. But that’s a key to the book - to get the fullest understanding and therefore the most of Dabbas’ writing you need to put in effort. I’ve read dozens of technical books this year and this one has required me to stop and analyze the information more than most. But I’ve also come away with more than most, and that is a huge plus in my books. If you need to create highly functional and well-designed reports, take some time to read this - it’ll be worth it.
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