Build Data Visualizations with D3js & Firebase Course Site
Learn how to use D3 (v5) & Firebase (Firestore) to create dynamic SVG data visualizations. Bar charts, pie charts…
What you’ll learn
Build Data Visualizations with D3js & Firebase Course Site
- Learn D3 JS & Firebase (Firestore) from the ground up
- Create data-driven visualizations (graphs, charts, diagrams) with D3 JS
- Store (and retrieve) data in a real-time database called Firestore (from Firebase)
- Update data visualizations in real-time with Firestore
- Create 3 projects with D3 and Firebase (Firestore)
Requirements
- A basic to moderate level of JavaScript
- The basic to moderate level of HTML
- A basic to moderate level of CSS
Description
Learn how to create great-looking data visualizations with D3.js
D3.js is a powerful JavaScript library used to create data visualizations easily. In this course, I’ll teach you how to harness the power of D3 to create a variety of different data-driven visualizations such as bar charts, pie charts, line graphs, bubble packs, and tree diagrams.We’ll learn about D3 select, changing SVG attributes & styles, scales, axes, transitions, hierarchical data and much more…
Use Firebase Firestore to update your D3.js diagrams in real-time
I’ll also teach you how to use Firestore (from Google Firebase) – a real-time NoSQL database in which we can store our data. We’ll use this to power our D3.js visualizations in real-time (without updating the browser) and to make them interactive, fun & dynamic.
We’ll also be creating 3 projects to put our D3 & Firebase skills to the test – first of all, a money planner called Ninja Wonga, then a fitness tracker called The Dojo and finally a company employee tree diagram called Ninja Corp.Who this course is for:
- Developers wanting to build data-driven UI diagrams with JavaScript
- Developers wanting to learn d3 and firebase
- Anyone wanting to learn about data visualization
- Developers wanting to create SVG diagrams with d3
- Developers wanting to use firebase to drive their d3 diagrams
- Build a Data Analysis Library from Scratch in Python
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