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- Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
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Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
Ebook
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.
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.
- 1. Overview of the Dash Ecosystem
- 2. Exploring the Structure of a Dash App
- 3. Working with Plotly's Figure Objects
- 4. Data Manipulation and Preparation - Paving the Way to Plotly Express
- 5. Interactively Comparing Values with Bar Charts and Dropdown Menus
- 6. Exploring Variables with Scatter Plots and Filtering Subsets with Sliders
- 7. Exploring Map Plots and Enriching Your Dashboards with Markdown
- 8. Calculating Data Frequency and Building Interactive Tables
- 9. Letting Your Data Speak for Itself with Machine Learning
- 10. Turbo-charge Your Apps with Advanced Callbacks
- 11. URLs and Multi-Page Apps
- 12. Deploying Your App
- 13. Next Steps
- Title: Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
- Author: Elias Dabbas
- Original title: Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
- ISBN: 9781800560352, 9781800560352
- Date of issue: 2021-05-21
- Format: Ebook
- Item ID: e_2a49
- Publisher: Packt Publishing