When you have hundreds of unpublished images? Gallery Page! There's a new gallery page on the website here. Check it out.
I recently finished up a project where I used P5.js extensively. I am writing up several short blog posts on development issues, ideas and techniques that helped me out. Here's the second post... Accounting for Pixel Density when using the Canvas tag. Early on in the development phase of my last project I ran into … Continue reading Quick Dev Tip #2 – Canvas Sizing Bug and Pixel Density
Learning D3 can be daunting. Some of the online resources can make it more confusing. This is how I learned it and found using a book to be helpful.
A look at the flow, duration and cross-talk from the two debates On September 29, 2020, the US held their first presidential debate between the incumbent President Trump and former Vice President Biden. The debate immediately became known not for what was said or policies debated but for the interruptions and complete lack of decorum. … Continue reading How to Visualize the ‘dumpster fire’ and ‘train wrecks’ that were the 2020 Presidential Debates?
I want to demystify Regex a bit by doing a walk-through of a how I used it to prepare some data for a recent visualization.
I am working on a project to visualize the flow, duration and cross-talk from the first 2020 Presidential Debate. The following is the project's initial description and a gallery of prototype images from the ideation process. All of the images and code can be found on my GitHub repo, Presidential Debates. Prototypes for Visualizing 2020 … Continue reading A Gallery of Prototypes for Visualizing the 2020 US Presidential Debates
Short answer: Yes, absolutely you can run a zoom focus group during Covid-19, and it can work out really well. I just finished moderating three focus groups for an arts organization. Moderating focus groups has become a very enjoyable part of my data practice. It is a far cry from my typical data visualization work … Continue reading Can you run a successful Focus Group via Zoom during Covid-19?
Every data visualization and information design project involves data cleaning and preparation. Love it or hate it (most people feel the later), 'data munging' is a necessary step and unique skill in the creation of good work. The Python library Pandas provides a terrific set of tools to do just that. The Wikipedia page for … Continue reading Using Pandas for quick data cleaning and preparation
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