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Interactive Dashboards and Data Apps with Plotly and Dash

Interactive Dashboards and Data Apps with Plotly and Dash

By : Dabbas
4.4 (24)
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Interactive Dashboards and Data Apps with Plotly and Dash

Interactive Dashboards and Data Apps with Plotly and Dash

4.4 (24)
By: Dabbas

Overview of this book

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.
Table of Contents (18 chapters)
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1
Section 1: Building a Dash App
6
Section 2: Adding Functionality to Your App with Real Data
11
Section 3: Taking Your App to the Next Level

Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus

You now have all the basics you need to easily construct interactive features linking page elements and to produce interactive dashboards. The main concepts have been covered with the help of several examples, and we will now be focusing on specific types of charts and the different options that they provide. More importantly, we will go into additional details for customizing our charts and making them suitable for several purposes, firstly, in order to be good enough to publish and share with a wider audience, as opposed to just for your interactive use, and secondly, to ensure that they properly fit on a page that potentially contains other components, and making sure we utilize the available space in an optimal way. Another important aspect to cover is the dynamic nature of the charts that our users can generate. Based on the user's choice of option in an interactive component, the resulting dataset...

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