Python Interactive Dashboards with Plotly Dash

Video description

Learn to build dashboards from scratch, customize their look, and add interactive features by taking up this course.

About This Video

  • Learn how to set up the layout of dashboards with Dash components
  • Make more dynamic dashboards with chained interactive features
  • Use Plotly to create plots including line charts, Choropleth maps

In Detail

Data visualization is a critical part of data science, in this quick and practical course you will learn how to create a great-looking interactive dashboard with Dash and Python. With this new skill, you will be able to present and share your analysis better with your customers' executives and the rest of your team.

This course is broken down into 5 parts and it is necessary to follow the structure as each part is built on top of the other. The first part is an introduction to Plotly Dash followed by building the layout of dashboards. The third part is how to make dashboards interactive with callbacks, fourth part introduces us to customize the look of dashboards. The last and final part is a business-centric project case study on creating an interactive map dashboard.

Throughout the course, you will be using 3 real-world datasets, which are the World Happiness dataset, FIFA Soccer dataset, and US electricity prices to help you learn Dash more.

By the end of the course, you will learn to build dashboards from scratch, by customizing their look and adding interactive features, with all free Python libraries.


This course can be taken by any Python programmer who wants to present their analyses in interactive web-based dashboards.

Publisher resources

Download Example Code

Table of contents

  1. Chapter 1 : Let's Get Started
    1. Introduction
    2. Course Overview
  2. Chapter 2 : Python Crash Course
    1. Setting Up Python Environment
    2. Overview of Data Types, Numeric, Define Variables
    3. Strings, Common Functions, and Methods
    4. Lists, Tuples, Sets, Dictionaries, Booleans
    5. If Statements, Loops
    6. Define Functions, Use Packages
  3. Chapter 3 : Introduction to Plotly Dash
    1. What is Dash
    2. Creating Your First Dashboard
  4. Chapter 4 : Building the Layout of Dashboards
    1. HTML Components Overview
    2. Core Components Overview
  5. Chapter 5 : Making Dashboards Interactive with Callbacks
    1. Introduction to Callbacks
    2. Building Callbacks with Single Input and Output
    3. Creating Interactive Plotly Figures
    4. Building Callbacks with Multiple Inputs and Outputs
    5. Chaining Callbacks' Inputs and Outputs
    6. Controlling Callbacks with States (Button)
  6. Chapter 6 : Capstone Project I
    1. Avocado Prices Dashboard Overview
  7. Chapter 7 : Customizing the Look of Dashboards
    1. Customizing with Inline CSS
    2. Customizing with External CSS
    3. Creating a Grid Layout
    4. Building a Navigation Bar
    5. Building a Deck of Cards
  8. Chapter 8 : Case Study I: Creating an Interactive Map Dashboard
    1. Setting Up the Layout: RangeSlider
    2. Setting Up the Layout: Choropleth Map
    3. Setting Up the Layout: DataTable
    4. Adding Callbacks: Update the Map
    5. Adding Callbacks: Update the DataTable
  9. Chapter 9 : Case Study II: Building a Live Updating Financial Dashboard
    1. Setting Up the Layout: Input and Button
    2. Setting Up the Layout: Candlestick and DataTable
    3. Setting Up the Layout: Tabs
    4. Setting Up the Layout: Interval
    5. Adding Callbacks: Live Update the Chart
    6. Adding Callbacks: Live Update the DataTable
  10. Chapter 10 : Capstone Project II
    1. Life Expectancy Dashboard Overview
  11. Chapter 11 : Bonus Materials
    1. Introduction to Jupyter Dash

Product information

  • Title: Python Interactive Dashboards with Plotly Dash
  • Author(s): Just Into Data
  • Release date: September 2022
  • Publisher(s): Packt Publishing
  • ISBN: 9781803234267