Data Notes

Data sonification is the process of converting data into sound. Just as we use charts and graphs to visualize data patterns, sonification allows us to "hear" data through audio representations. This technique helps us:

• Discover patterns that might be invisible in visual representations
• Process information through our auditory system, which can detect subtle changes and rhythms
• Access data in new ways, especially useful for people with visual impairments
• Enhance understanding by combining visual and auditory information

In this application, we're exploring how data patterns can transform human speech, creating a bridge between data analysis and creative expression.

So your voice sounded weird, right? That's actually a perfect example of what happens when we try to translate data between different formats. We call this the translation gap.

What's happening here:

When we take data and turn it into charts, graphs, sounds, or visualizations, we're basically translating between different languages. And like any translation, things can get lost or misunderstood. Here's what's going on:

• Lots of steps from raw data to what you actually see or hear to what you understand
• Context matters what makes perfect sense to you might confuse someone else
• Different backgrounds people bring their own experiences and expectations
• Stuff gets lost the original meaning can get twisted along the way

Why this matters:

Your transformed voice probably sounded strange to someone who didn't know the original waveform. Data visualizations and sonifications work the same way they can be totally confusing if the audience doesn't have the right context. This isn't just about technology, it's about actually communicating effectively.

How to bridge the gap:

The trick is to understand your audience and create interpretations that actually work for them:

• Give context explain what the data means and why anyone should care
• Pick the right format use something your audience is comfortable with
• Test it out get feedback from the people you're trying to reach
• Keep improving be willing to change your approach based on what works

The bottom line:

Whether you're making charts, sonifications, or any other data representation, you're not just showing information. You're telling a story. The goal is to help your audience actually understand and care about what you're showing them. That takes empathy, clear communication, and being willing to meet people where they are.

This map makes it easy to see at a glance how many stores accept SNAP benefits in each area. But the music helps you understand something deeper about the variety of options available.

Just like in music, where different instruments work together to create something greater than the individual parts, the variety of store types in each zip code tells a story about the community's access to different kinds of food. Some areas might have mostly convenience stores, while others have a rich mix of grocery stores, farmers markets, and specialty shops. The audio helps you hear this diversity in a way that numbers alone can't convey.

This map shows SNAP retailer locations across King County. Each zip code is colored based on the total number of facilities. Click on a zip code to see detailed store counts and play audio representing the store types in that area.

The audio combines different instrument tracks based on the types of stores present in each zip code, creating a unique "sound" for each area.

Data source: USDA SNAP Retailer website (August 20, 2025)