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 other map options and tools

The following are a few pointers on what you can explore further with mapping, without getting into too much detail.

You've probably thought about having custom polygons or areas to visualize as choropleth maps. What we have covered so far are standard countries only. Of course, you have the option of visualizing a custom area with arbitrary points.

There is a standard GeoJSON format for representing such information. It mainly consists of points, lines, and polygons. Points are simply locations on the map, similar to what we used for scatter map plots. Lines are groups of connected points, in a certain sequence, where the first and last points are not the same. And as you can guess, a polygon is similar to a line, but with the condition that the first and last points are the same. Note that many countries consist of more than one polygon. Most Plotly map functions support GeoJSON, and you can use it for custom map plotting.

This...