
Interactive Dashboards and Data Apps with Plotly and Dash
Subscription
FREE
eBook
$41.99
Print + eBook
$51.99
What do you get with a Packt Subscription?
What do you get with a Packt Subscription?
What do you get with eBook + Subscription?
What do you get with a Packt Subscription?
What do you get with eBook?
What do I get with Print?
What do you get with video?
What do you get with Audiobook?
Subscription
FREE
eBook
$41.99
Print + eBook
$51.99
What do you get with a Packt Subscription?
What do you get with a Packt Subscription?
What do you get with eBook + Subscription?
What do you get with a Packt Subscription?
What do you get with eBook?
What do I get with Print?
What do you get with video?
What do you get with Audiobook?
-
Section 1: Building a Dash App
-
Free ChapterChapter 1: Overview of the Dash Ecosystem
- Chapter 1: Overview of the Dash Ecosystem
- Technical requirements
- Setting up your environment
- Exploring Dash and other supporting packages
- Understanding the general structure of a Dash app
- Creating and running the simplest app
- Adding HTML and other components to the app
- Learning how to structure the layout and managing themes
- Summary
-
Chapter 2: Exploring the Structure of a Dash App
-
Chapter 3: Working with Plotly's Figure Objects
-
Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express
-
Section 2: Adding Functionality to Your App with Real Data
-
Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus
- Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus
- Technical requirements
- Plotting bar charts vertically and horizontally
- Linking bar charts and dropdowns
- Exploring different ways of displaying multiple bar charts (stacked, grouped, overlaid, and relative)
- Using facets to split charts into multiple sub-charts – horizontally, vertically, or wrapped
- Exploring additional features of dropdowns
- Summary
-
Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders
- Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders
- Technical requirements
- Learning about the different ways of using scatter plots: markers, lines, and text
- Creating multiple scatter traces in a single plot
- Mapping and setting colors with scatter plots
- Handling over-plotting and outlier values by managing opacity, symbols, and scales
- Introducing sliders and range sliders
- Customizing the marks and values of sliders
- Summary
-
Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown
- Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown
- Technical requirements
- Exploring choropleth maps
- Utilizing animation frames to add a new layer to your plots
- Using callback functions with maps
- Creating a Markdown component
- Understanding map projections
- Using scatter map plots
- Exploring Mapbox maps
- Exploring other map options and tools
- Incorporating an interactive map into our app
- Summary
-
Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables
- Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables
- Technical requirements
- Creating a histogram
- Customizing the histogram by modifying its bins and using multiple histograms
- Adding interactivity to histograms
- Creating a 2D histogram
- Creating a DataTable
- Controlling the look and feel of the table (cell width, height, text display, and more)
- Adding histograms and tables to the app
- Summary
- What we have covered so far
-
Section 3: Taking Your App to the Next Level
-
Chapter 9: Letting Your Data Speak for Itself with Machine Learning
-
Chapter 10: Turbo-charge Your Apps with Advanced Callbacks
-
Chapter 11: URLs and Multi-Page Apps
- Chapter 11: URLs and Multi-Page Apps
- Technical requirements
- Getting to know the Location and Link components
- Parsing URLs and using their components to modify parts of the app
- Restructuring your app to cater to multiple layouts
- Adding dynamically generated URLs to the app
- Incorporating the new URL interactivity into the app
- Summary
-
Chapter 12: Deploying Your App
- Chapter 12: Deploying Your App
- Technical requirements
- Establishing the general development, deployment, and update workflow
- Creating a hosting account and virtual server
- Connecting to your server with SSH
- Running the app on the server
- Setting up and running the app with a WSGI
- Setting up and configuring the web server
- Managing maintenance and updates
- Deploying and scaling Dash apps with Dash Enterprise
- Summary
-
Chapter 13: Next Steps
- Chapter 13: Next Steps
- Technical requirements
- Expanding your data manipulation and preparation skills
- Exploring more data visualization techniques
- Exploring other Dash components
- Creating your own Dash component
- Operationalizing and visualizing machine learning models
- Enhancing performance and using big data tools
- Going large scale with Dash Enterprise
- Summary
- Why subscribe?
-
Other Books You May Enjoy
About 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.
- Publication date:
- May 2021
- Publisher
- Packt
- Pages
- 364
- ISBN
- 9781800568914
Latest Reviews
(1 reviews total)