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Interactive Dashboards and Data Apps with Plotly and Dash

You're reading from  Interactive Dashboards and Data Apps with Plotly and Dash

Product type Book
Published in May 2021
Publisher Packt
ISBN-13 9781800568914
Pages 364 pages
Edition 1st Edition
Languages
Author (1):
Elias Dabbas Elias Dabbas
Profile icon Elias Dabbas
Toc

Table of Contents (18) Chapters close

Preface 1. Section 1: Building a Dash App
2. Chapter 1: Overview of the Dash Ecosystem 3. Chapter 2: Exploring the Structure of a Dash App 4. Chapter 3: Working with Plotly's Figure Objects 5. Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express 6. Section 2: Adding Functionality to Your App with Real Data
7. Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus 8. Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders 9. Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown 10. Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables 11. Section 3: Taking Your App to the Next Level
12. Chapter 9: Letting Your Data Speak for Itself with Machine Learning 13. Chapter 10: Turbo-charge Your Apps with Advanced Callbacks 14. Chapter 11: URLs and Multi-Page Apps 15. Chapter 12: Deploying Your App 16. Chapter 13: Next Steps 17. Other Books You May Enjoy

Summary

We started by establishing a simple workflow to manage the cycle of development, deployment, and updates. We defined three main components for this workflow and how they relate to one another. We discussed the relationship between local workstations, a central Git repository, and a web server, and set some guidelines on how work should flow between them.

We then created a hosting account, set up a virtual server, and got ready to do work on the server locally. Then, we explored how we can access the server locally through SSH, and ran some basic security and administration tasks. We cloned our repository and saw that it can run on the server exactly as we do locally.

We then discussed the two other required components for our app to be available publicly. We ran our app slightly differently by using a WSGI server. The last step was to install and configure a web server, using the simplest setup possible. Our app was then accessible on a public IP.

Finally, we explored...

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