just posted a writeup of a side project I did a show&tell of at eyeo:
nice post from Stamen https://hi.stamen.com/what-is-data-visualization-for-83c3a736d568
just barely made the deadline for reddit viz battle of march yesterday: https://www.reddit.com/r/dataisbeautiful/comments/88bgi2/ursa_major_in_aeternum_oc/
more work to do on this, I feel like I just scratched the surface
WIP, I like critical feedback. This is a rehash of https://gain.nd.edu/our-work/country-index/matrix/
with just a few countries for now, point is to focus on food security outlook for the Sahel. Hand-laid out in Sketch, data (x, y) not 100% accurate yet. Bivariate color scheme lifted from http://tolomaps.tumblr.com/post/131671267233/creating-a-bivariate-choropleth-color-scheme
wow. I just pulled off exporting in-browser graphics via html2canvas + stackoverflow code to do: on click, render the clicked (svg+DOM+canvas) element plus the 300px below to a new canvas element, then trigger a download of appropriately-named .png
way better than manual screenshots.
My first Observable Notebook - played around with some terrain data:
In case you're interested how the auto-detection of colorblind issues in Datawrapper works, I wrote it all down in an interactive blog post https://www.vis4.net/blog/2018/02/automate-colorblind-checking/ https://vis.social/media/JoiAHRvIu0BvxK8Mu8o https://vis.social/media/Jv8iNeTpJVhIjulb_Os
Observable is turning into an interesting platform fast https://beta.observablehq.com/@spencermountain/nlp-compromise
soooooo psyched I got eyeo tix!