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

Exploring more data visualization techniques

We saw how easy it is to work with Plotly Express and how powerful it can be. We also saw the extensive options available for us. At the same time, we are constrained by the requirement to have our data in a certain format, which Plotly Express cannot help with. This is where we have to step in as data scientists.

We covered four main chart types, and this is a very small subset of what's available. As mentioned at the beginning of the chapter, visualization works in a couple of ways. You might be required to produce a certain chart, so you end up having to learn about it. Or, you might learn about a new chart, and it then inspires you to better summarize certain types of data for certain use cases.

You might learn about new types of charts based on the geometric shapes/attributes they use, such as pie charts or dot plots. You can also explore them based on their usage; for example, there are statistical and financial charts....