What you would learn in Data Visualization First Steps course?
Participating during the course, you'll be able to:
- Learn important data viz concepts such as channels, features faceting, aggregation, etc.
- Quickly create custom charts using an open-source JS Library Observable Plot.
- Create interactive visualizations that to embed in any location
- Answer questions using data to help you in your development work
- Be comfortable with primary data viz before you tackle more complicated libraries like D3.js
Course Content:
Data Visualization, aka "dataviz," is much more than drawing some pretty charts; it's a process of discovering & communicating insights derived from data. As web developers, we are luckily swimming in data about the apps we build, the users who interact with them, and the development workflows we use to build them. We may be used to looking at specific visualizations of that data - e.g., a simple line graph or bar chart presented by our analytics platform - but many developers don't realize that with very little time & effort, we can build our visualizations to dig deeper and answer the specific questions that matter to us and our work.
In this workshop, through hands-on projects, we'll learn how to use Plot, an open-source dataviz library, and Observable, a browser-based reactive coding platform, to rapidly build insightful, interactive visualizations in JavaScript. After completing this workshop, you'll have the essential tools & techniques you need to start using dataviz to better understand your code, your projects & your users and make better data-driven decisions as a developer.
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