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

Getting to know the Location and Link components

These components are part of Dash Core Components, and their names make quite clear what they are and what they might do. The Location component refers to the browser's location bar. It is also referred to as the address bar or the URL bar. We typically place a Location component in the app, and it doesn't produce anything visible. We mainly use it to discover where we are in the app, and based on that, we induce some functionality. Let's create a simple example to see how it can be used in its simplest form:

  1. Create a simple app:
    import dash_html_components as html
    import dash_core_components as dcc
    from jupyter_dash import JupyterDash
    from dash.dependencies import Output, Input
    app = JupyterDash(__name__)
  2. Create a simple layout for the app containing a Location component and, right underneath it, an empty div:
    app.layout = html.Div([
        dcc.Location(id='location'),
     html.Div...