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

Adding dynamically generated URLs to the app

We now want to complete our main layout with a navigation bar, a home page link, as well as a drop-down menu for the countries. To achieve that, we introduce the NavbarSimple component from Dash Bootstrap Components and see how we can use it.

The NavbarSimple component will take a few elements to create the structure we want as follows:

  1. We first create the navigation bar and give it brand and brand_href arguments, to indicate what the name would be and where it would link to:
    import dash_bootstrap_components as dbc
    dbc.NavbarSimple([
        …
    ], brand="Home", brand_href="/")
  2. For its children argument, we will add a dbc.DropdownMenu component. We will also give it a label value so users know what to expect when they click on the menu. We will fill its children argument in the next step:
    dbc.DropdownMenu(children=[
        menu_item_1,
        menu_item_2...