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Interactive Dashboards and Data Apps with Plotly and Dash

Gain insights into creating interactive dashboards and data apps with Plotly Dash. Learn to build, customize, and deploy data-driven applications with various controls and charts effectively.

Beginner

102 Lessons

27h

Certificate of Completion

Gain insights into creating interactive dashboards and data apps with Plotly Dash. Learn to build, customize, and deploy data-driven applications with various controls and charts effectively.

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This course includes

166 Playgrounds

11 Quizzes

Course Overview

What You'll Learn

Course Content

Apply Your Skills

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Course Overview

Plotly's Dash framework allows Python programmers to develop complete analytic data apps and interactive dashboards. You'll start with an overview of the Dash ecosystem, its main packages, and the available third-party packages crucial for structuring and building different parts of your apps. Next, you will learn how to create a basic Dash app and add different features to it. You'll then integrate controls in the app—such as drop-downs, checkboxes, sliders, date pickers, and more—and then link them to c...Show More

Plotly's Dash framework allows Python programmers to develop complete analytic data apps and interactive dashboards. You'll st...Show More

What You'll Learn

An understanding of the Dash ecosystem and how to add interactive functionality to the app using callback functions

Working knowledge of plotting bar charts, scatterplots, map plots, and histograms using Plotly's Figure object

Hands-on experience adding interactivity using sliders, drop-down menus, and interactive tables

Hands-on experience using KMean clustering to test and evaluate a model with machine learning

The ability to add multiple pages in an app and use URLs as inputs and outputs to interact with different elements in the app

Hands-on experience deploying an app on a server

An understanding of the Dash ecosystem and how to add interactive functionality to the app using callback functions

Course Content

Plotly's Dash Framework

1 Lessons

Get familiar with creating analytic data apps and interactive dashboards using Plotly's Dash.

Introduction to the Course

Overview of the Dash Ecosystem

6 Lessons

Get started with the essentials of building Dash apps for interactive data visualization.

Introduction: The Dash Ecosystem

Exploring Dash and Other Supporting Packages

Creating and Running a Simple App

Structuring the Layout and Managing Themes

Summary: The Dash Ecosystem

Quiz: The Dash Ecosystem

Exploring the Structure of a Dash App

7 Lessons

Break apart the core structure of Dash apps using Jupyter for interactivity.

Introduction: Structure of the Dash App

Using Jupyter Notebooks to Run Dash Apps

Understanding the ID Parameter of Dash Components

Incorporating the Function into the App

Properties of Dash's Callback Functions

Summary: Structure of the Dash App

Quiz: Structure of the Dash App

Working with Plotly's Figure Objects

7 Lessons

Break down complex ideas on creating, modifying, and converting Plotly's Figure objects.

Introduction: Plotly's Figure Objects

Figure Object

Data and Layout Attributes

Exploring the Different Ways of Converting Figures

Adding the New Functionality to Our App

Summary: Plotly's Figure Objects

Quiz: Plotly's Figure Objects

Data Manipulation and Preparation using Plotly Express

10 Lessons

Solve problems in data manipulation, reshaping DataFrames, and creating visualizations using Plotly Express.

Introduction: Data Manipulation and Preparation

Understanding Long Format (Tidy) Data

Understanding the Role of Data Manipulation Skills

Reshaping DataFrames

Learning Plotly Express

Creating a Plotly Express Chart Using the Dataset

Summary: Data Manipulation and Preparation

Quiz: Data Manipulation and Preparation

Exercise: Merging Datasets

Solution: Merging Datasets

Interactively Comparing Values with Bar Charts and Drop-Down Menus

8 Lessons

Investigate creating dynamic dashboards with bar charts and drop-down menus for effective data visualization.

Introduction: Bar Charts and Drop-Down Menus

Plotting Bar Charts

Linking Bar Charts and Drop-Downs

Exploring Different Ways of Displaying Multiple Bar Charts

Incorporating the Functionality into the App

Exploring Additional Features of Drop-Downs

Summary: Bar Charts and Drop-Down Menus

Quiz: Bar Charts and Drop-Down Menus

Exploring Variables and Filtering Subsets

9 Lessons

Practice using Plotly and Plotly Express for customizable, interactive scatterplots and data filtering.

Introduction: Variables and Filtering Subsets

Learning about the Different Ways of Using Scatterplots

Creating Multiple Scatter Traces in a Single Plot

Mapping and Setting Colors with Scatterplots

Handling Overplotting and Outlier Values

Introducing Sliders and Range Sliders

Customizing the Marks and Values of Sliders

Summary: Variables and Filtering Subsets

Quiz: Variables and Filtering Subsets

Exploring Map Plots and Enriching Dashboards with Markdown

7 Lessons

Step through creating engaging map plots, implementing Markdown, and using dynamic interactive maps.

Introduction: Map Plots and Enriching Dashboards with Markdown

Exploring Choropleth Maps

Creating a Markdown Component

Understanding Map Projections

Incorporating an Interactive Map into the App

Summary: Map Plots and Enriching Dashboards with Markdown

Quiz: Map Plots and Enriching Dashboards with Markdown

Calculating the Frequency of Data with Histograms and Tables

9 Lessons

Discover the logic behind visualizing data distributions using histograms and DataTables in Dash.

Introduction: Histograms and Tables

Creating a Histogram

Adding Interactivity to Histograms

Creating a DataTable

Adding Histograms and Tables to the App

Summary: Histograms and Tables

Quiz: Histograms and Tables

Exercise: Visualizing Datasets

Solution: Visualizing Datasets

10.

Letting the Data Speak for Itself with Machine Learning

10 Lessons

Examine machine learning-driven data clustering, optimization, and interactive app creation with KMeans.

Introduction: Letting Data Speak with Machine Learning

Understanding Clustering

Finding the Optimal Number of Clusters

Clustering Countries by Population

Creating an Interactive KMeans Clustering App

Preparing Data with Scikit-learn

Summary: Letting the Data Speak for Itself with Machine Learning

Quiz: Letting Data Speak with Machine Learning

Exercise: Creating and Analyzing a KMeans Model

Solution: Creating and Analyzing a Kmeans Model

11.

Turbocharge Apps with Advanced Callbacks

7 Lessons

Break down the steps to enhance app interactivity with advanced dynamic callbacks.

Introduction: Advanced Callbacks

Understanding State

Creating Components That Control Other Components

Allowing Users to Add Dynamic Components to the App

Introducing Pattern-Matching Callbacks

Summary: Advanced Callbacks

Quiz: Advanced Callbacks

12.

URLs and Multipage Apps

7 Lessons

Take a closer look at creating dynamic multipage applications using URLs and Dash components.

Introduction: URLs and Multipage Apps

Location and Link Components

Modify the App by Parsing URLs and Using Their Components

Adding Dynamically Generated URLs to the App

Incorporating the New URL Interactivity into the App

Summary: URLs and Multipage Apps

Quiz: URLs and Multipage Apps

13.

Deploying the App

8 Lessons

Follow the process of deploying Dash apps, establishing workflows, managing servers, and scaling with Dash Enterprise.

Introduction: Deploying Dash Apps to the Internet

Establishing the Deployment Workflow

Creating a Hosting Account and Virtual Server

Running the App on the Server

Setting Up and Running the App with a WSGI

Managing Maintenance and Updates

Deploying and Scaling Dash Apps with Dash Enterprise

Summary: Deploying Dash Apps to the Internet

14.

Next Steps

5 Lessons

Master the steps to enhancing data skills, optimizing visuals, deploying machine learning, and utilizing Dash Enterprise.

Introduction: Additional Aspects of Development

Expanding Data Manipulation and Preparation Skills

Operationalizing and Visualizing Machine Learning Models

Going Large Scale with Dash Enterprise

Summary: Additional Aspects of Development

15.

Appendix

1 Lessons

Get familiar with setting up the environment for building Dash applications.

Setting up the environment

Course Author

Packt

Project

Exploring the Titanic Dataset in Julia

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Project

Exploring the Titanic Dataset in Julia

Explore the Titanic dataset using Exploratory Data Analysis in Julia to understand factors affecting passenger survival.

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