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.
How to Visualize the ‘dumpster fire’ and ‘train wrecks’ that were the 2020 Presidential Debates?
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?
Demystifying Regex: A Walk-through On How To Prep Data For A Visualization
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.
A Gallery of Prototypes for Visualizing the 2020 US Presidential Debates
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
Can you run a successful Focus Group via Zoom during Covid-19?
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?
Using Pandas for quick data cleaning and preparation
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
Welcome to Creative Code Review!
Creative Code Review is intended to be an open inclusive, friendly and informal community that supports and learns from one another. An ideal result of participating in a code review will be that you learn something, build a greater sense of community and hopefully get a great feeling of having helping someone else!
CreateInTo Talk Follow-up
Notes and Resources I gave a talk at last night’s CreateInTO event and it went really well! I very much appreciate that people came out on a cold, rainy October night. The talk was about my experiences in using Processing and P5.js for prototyping and data visualization. I used examples from two recent projects, Visualizing … Continue reading CreateInTo Talk Follow-up
Presenting Genetic Algorithms, Data Viz and Physical Installations at CreateInTo on October 30
I will be presenting a few of my recent Genetic Algorithm and Data Viz projects at CreateInTo in Toronto on October 30th. Location and ticket info can be found on the CreateInTo page here. The projects I’ll be talking about run the gamut from Genetic Algorithms, Data Visualization and Physical Installations. The connective thread between … Continue reading Presenting Genetic Algorithms, Data Viz and Physical Installations at CreateInTo on October 30
Visualizing $23 Billion in UN Agency Funding
Screencaps of a Work in Progress How much does the UN spend each year? Where does that money go? Who's spending it? Is it concentrated in a few countries or evenly spread around the world?? To answer some of these questions for myself, I started where I always start. With the data!! A quick search … Continue reading Visualizing $23 Billion in UN Agency Funding