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Modern Full-Stack React Projects

You're reading from  Modern Full-Stack React Projects

Product type Book
Published in Jun 2024
Publisher Packt
ISBN-13 9781837637959
Pages 506 pages
Edition 1st Edition
Languages
Author (1):
Daniel Bugl Daniel Bugl
Profile icon Daniel Bugl
Toc

Table of Contents (28) Chapters close

Preface 1. Part 1:Getting Started with Full-Stack Development
2. Chapter 1: Preparing for Full-Stack Development 3. Chapter 2: Getting to Know Node.js and MongoDB 4. Part 2:Building and Deploying Our First Full-Stack Application with a REST API
5. Chapter 3: Implementing a Backend Using Express, Mongoose ODM, and Jest 6. Chapter 4: Integrating a Frontend Using React and TanStack Query 7. Chapter 5: Deploying the Application with Docker and CI/CD 8. Part 3:Practicing Development of Full-Stack Web Applications
9. Chapter 6: Adding Authentication with JWT 10. Chapter 7: Improving the Load Time Using Server-Side Rendering 11. Chapter 8: Making Sure Customers Find You with Search Engine Optimization 12. Chapter 9: Implementing End-to-End Tests Using Playwright 13. Chapter 10: Aggregating and Visualizing Statistics Using MongoDB and Victory 14. Chapter 11: Building a Backend with a GraphQL API 15. Chapter 12: Interfacing with GraphQL on the Frontend Using Apollo Client 16. Part 4:Exploring an Event-Based Full-Stack Architecture
17. Chapter 13: Building an Event-Based Backend Using Express and Socket.IO 18. Chapter 14: Creating a Frontend to Consume and Send Events 19. Chapter 15: Adding Persistence to Socket.IO Using MongoDB 20. Part 5:Advancing to Enterprise-Ready Full-Stack Applications
21. Chapter 16: Getting Started with Next.js 22. Chapter 17: Introducing React Server Components 23. Chapter 18: Advanced Next.js Concepts and Optimizations 24. Chapter 19: Deploying a Next.js App 25. Chapter 20: Diving Deeper into Full-Stack Development 26. Index 27. Other Books You May Enjoy

Collecting and simulating events

Before we can get started aggregating and visualizing statistics, we first need to collect (and later simulate) events, which we are going to use to create the statistics. We will start by thinking about which data we want to collect, and which data would be useful for us. We will focus on post views for now, so we would like to show the following statistics per post:

  • Total number of views on a post
  • Daily views on a post
  • Daily average viewing duration on a post

Let’s start by creating the database model for events that will allow us to show these statistics.

Creating the event model

To create these statistics, we need to collect events from users. Events will contain a reference to a post, a session ID to track events from the same viewing, an action (started viewing, ended viewing), and a date of when the event happened.

Let’s get started defining the database model for events:

  1. Copy the existing...
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