Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By : Elias Dabbas
Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By: Elias 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)
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

Summary

We started by focusing on the importance of basic skills in handling data. We emphasized the importance of mastering data manipulation and cleaning skills, which will allow you to format your data into the shape that you want and make it easy to analyze and visualize. We also mentioned various data visualization techniques and types of charts that can be explored to increase your fluency in expressing ideas visually.

We also discussed the other Dash components that we didn't cover in the book, as well as the community components that are constantly being developed. Eventually, you might decide to develop your own set of components and contribute additional functionality to the Dash ecosystem, and I look forward to pip install dash-your-components!

We then discussed exploring machine learning and how we can make our models visual and interactive. Establishing data manipulation, visualization, and interactivity skills will help you a lot in making your models interpretable...