Home>Courses>Interactive Dashboards and Data Apps with Plotly and Dash

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.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

166 Playgrounds

11 Quizzes

Course Overview

What You'll Learn

Course Content

Apply Your Skills

Recommendations

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

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

intermediate

1 hour

Project

Exploring the Titanic Dataset in Julia

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

intermediate

1 hour

Trusted by 2.5 million developers working at companies

"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"

Anthony Walker

@_webarchitect_

"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"

Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Carlos Matias La Borde

Software Developer

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

"I've tried probably 5-7 different sites and Educative is easily the best. It perfectly blends explanation with interactivity"

Eric Downs

Musician/Entrepeneur

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Recommended before starting this course

Course

Data Analytics in Python

Learn about Python-based data analytics, discover data manipulation and cleaning techniques, explore Jupyter for insights, and gain skills to plot and visualize data effectively.

intermediate

2 hours 29 mins

Course

From Python to Numpy

Gain insights into utilizing NumPy for data manipulation and analytics. Learn about implementing concepts in both Python and NumPy through coding challenges and quizzes.

intermediate

5 hours

Course

Data Analysis & Processing with Pandas

Gain insights into Pandas' powerful tools for data analysis. Learn about Series, DataFrames, and optimize performance for data operations, filtering, and file uploads in data science and machine learning.

intermediate

4 hours

Course

Data Analytics in Python

Data Analysis & Processing with Pandas

intermediate

4 hour

Related Courses and Skill Paths

Course

Data Visualization and Analysis With Seaborn Library

Delve into data visualization and analysis with Python's Seaborn library. Gain insights into variable types, data cleaning, creating detailed visualizations, and applying themes for aesthetically pleasing results.

beginner

12 hours

Course

Introduction to Data Science with Python

Delve into foundational Python programming, explore libraries like pandas and Matplotlib, and gain insights into data management, analysis, and visualization with practical projects.

beginner

4 hours 10 mins

Course

An Introduction to Apache Airflow

beginner

2 hours

Course

Data Visualization and Analysis With Seaborn Library

beginner

12 hour

Course

Introduction to Data Science with Python