Summary In today's episode, I walk through exploring a brand-new COVID-19 behavioral dataset from Imperial College London and YouGov covering 29 countries. Here's what this means for you. You gain a repeatable workflow for opening an unfamiliar dataset and pulling out early insights without getting overwhelmed. You'll also learn these concepts: why the codebook is…
Summary In today's episode, I break down why in-person events remain unsafe during the COVID-19 pandemic and what organizers must consider before bringing attendees back together. Here's what this means for you. You gain a clear framework for evaluating event safety that prioritizes attendee health, legal protection, and insurance viability over short-term revenue. You'll also…
Summary In today's episode, I walk through analyzing the Johns Hopkins COVID-19 dataset in R to compute velocity and acceleration of case and death counts over time. Here's what this means for you. You gain a reusable derivative-based framework that turns any raw time series into a clear story about whether a trend is speeding…
Summary In today's episode, I address a listener's question about job losses, economic shrinkage, recovery duration, and real estate values during the pandemic, comparing the current situation to historical shocks like 9/11 and the Great Recession. Here's what this means for you. You gain a realistic framework for understanding why this downturn is fundamentally different…
