I home roast coffee and could never keep track of origin flavor profiles so I mapped 32 of them [OC] Visualization

What This Visualization Shows

This data visualization displays "I home roast coffee and could never keep track of origin flavor profiles so I mapped 32 of them [OC]" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on I've been home roasting coffee(using a Fresh Roast SR800) for ~2 years and kept running into the same problem: I'd read tasting notes like "bright, floral, citrusy" for one Ethiopian and "earthy, winey, fruit-forward" for another, and eventually it all just blurred together. I wanted something visual that actually let me compare origins side by side.

So I mapped 32 single-origin coffees across six flavor dimensions(Fruity, Floral, Sweet, Nutty, Spicy, Earthy) and built an interactive site around the data. Scores are calibrated to specialty-grade, light-to-medium roast for each origin.

Some things you can do with it:

- Compare any two origins head-to-head with an overlaid radar chart - Explore a PCA scatter plot that clusters origins by flavor similarity - Filter by brew method or roast level - Pick flavor tags you like and get back matching origins ranked by fit

Just got into espresso last month and the Compare view has been super useful for figuring out which origins might work well together as a blend.

Site is free, no ads, no signup. Source code is on GitHub if you want to poke around.

**[tastingterrain.com](https://tastingterrain.com)**, which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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Data Analysis and Insights

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Significance and Applications

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