Naming guidelines for boolean variables

2 simple rules to keep your APIs clean, concise, and consistent

Visualizing Pathology Data: Colin Megill Interview

Colin Megill's interview with Shirley Wu on Nextstrain, a tool for visual analysis of coronavirus (COVID19)/pathology data

2019 Conference Reflection

8 Lessons from React Boston + React Conf ⚛️

Graphic Train Schedules of the MetroNorth

Remaking a classic from Edward Tufte's Visual Display of Quantitative Information

creative coding

Mixing Gatsby, MDX, ObservableHQ, and p5js

How to include Observable Notebooks in Markdown with Gatsby MDX

Visual Analytics for High Dimensional Data

What to use when bar and scatter plots won't work?


Frontier Tech and Frontend: March Meetup Notes

Takeaways from MachineMetrics, Hydrow, Facebook VR, and Lazy Loading


Recording Progress in Visual Projects

Why + how to make GIF animations of your data visualization process

Remake: Marginal Histograms in Semiotic

Exploring a technique for de-cluttering crowded data with Tableau and Javascript

Musical Data Visualization

Visualizations for adding to listening experience, rather than problem solving

Loading Dangerously: PyYAML and Safety by Design

On designing APIs, and the challenges faced in switching to safety by default

data science

Data Science Spotlight: Jennifer Shin

Papers, articles, and talks by Jennifer Shin, data scientist


Links #1: Data Stories and Mental Models

Machine Learning Tools, Data Visualization, Mental Models, Engineering Process, and more

Simple React Design Patterns: Container/View

Resources about a useful design pattern in frontend development


Defining serendipidata

Information that is useful for purposes different from what its collector intended