What do you think are essential components for a data visualization style guide? Colors, typography, layout? @jschwabish @amycesal https://forms.gle/UfazEN8JSMWtCt5F9
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Data designer, language learner, don't know until you try it-er.
I was struggling to find a purpose for uniting fermentation with data visualizations, simply because it's a combination of two of my passions. Lately, I've been trying to pay more close attention to my intuition, and ideas and projects have opened up. Intrigued by the symbiosis of fermentation and data? Read more about my ideas here and let me know what you think! https://buttondown.email/datathesenses/archive/son-mat-a-hand-taste-journey-into-fermentation/
🎵🔊 I've been dabbling in sonification for about a year, exploring various tools like twotone.io, SonicPI, VCV Rack 2, and Tone.js. Up until now, SonicPi has been my go-to sonification tool, so I wanted to document a pattern I developed to sonify data in it.
Interested in how to transform data into music using SonicPi? Check it out here: https://observablehq.com/@datagrazing/sonifying-data-in-sonic-pi?collection=@datagrazing/sonifications
Sonifying data in Sonic Pi
Below is a handy pattern I developed to sonify data in SonicPi, a GUI based on the programming language Ruby, and used for live coding. I used it for all sonifications in this collection. **1. Fetch and transform the data into table format ** **2. 'Normalize' the data (analogous to making a scale) ** **3. Sonify the data ** Helpful methods: `choose`: select a random element from the list `look`: used to retrieve the current value from a range of values that are being iterated. example: `tick`: used to itera
I finished posting 'signature sounds' for 5 main fermentation microorganisms: acetic acid bacteria, bacilli, lactic acid bacteria, yeast and mold --> https://www.instagram.com/datagrazing/?img_index=1
Yet, these organisms are never alone in the process. Stay tuned for the microbial symphony.
I've been working on my first (big) sonification project, combining three interests at once (!!): music, dataviz, and you guessed it, fermentation! Needless to say, it feels good, if not productive. I'm releasing it in pieces, and it's subject to change. Here's the first part - can you guess the microorganism? https://www.instagram.com/p/C0b_xTNLd5V/
"On the surface, establishing standards for color can seem daunting, but approaching it through a utilitarian lens, the task becomes much more manageable. Color in data visualizations usually takes one of three forms—categorical, sequential, or diverging."
It's been a while, but @jschwabish, @amycesal, and Alan Wilson and I have come out with the next instalment of the "Guide to Making a Data Visualization Style Guide"
Check it out here =>
https://www.datavizstyleguide.com/getting-started
As it’s still a WIP, we would appreciate any feedback you can give us. We hope this resource will fill in the gaps of information regarding data visualization style guides, and especially how to create them!
It's been a long time coming, but finally, it's published! Although written with health practitioners in mind, the article still applies to anyone looking to make color palettes in their organization, or for themselves, and don't know where to start. Stay tuned for more resources!
co-authored with @jschwabish, with thanks from @amycesal and Alan WIlson
I’m co-organizing a workshop at HASTAC 2023 called My body is a visceralization: exploring environmental data through bodily performance. It’s geared toward any open-minded or curious person who wants to play with data. Signup here ➡️ https://hastac2023.sched.com/event/1LePh
Data sprint day #3 at the MK&G: how can digital museum collections guide users to find unconventional relationships between objects?