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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 7: Exploring Map Plots and Enriching Your Dashboards with Markdown

In this chapter, we are going to explore how to handle maps, one of the most engaging types of charts. There are many ways of creating and handling maps, as well as many types of map plots. There are also many specialized geographic and scientific applications for maps. We will mainly be focusing on two of the most common types of map plots: choropleth map plots and scatter map plots. Choropleth maps are the type of maps we are most familiar with. These are the types of maps where geographical areas are colored to indicate a country, state, district, or any arbitrary polygon on a map, and express variations in quantity among them. Most of the knowledge we established in the previous chapter can easily be adapted to scatter map plots, as they are essentially the same, with a few differences. Similar to the x and y axes, we have longitude and latitude instead, and we also have different map projections. We will...

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