A data visualisation reading list I've long believed that the best way to learn something is to teach it. To increase my own knowledge and skill around data visualisation, I created this free introduction to data visualisation course as part of my teaching work with Full Stack Modeller. The course has proven to
Apple has done us dirty Monterey, the latest version of macOS, no longer has Python built in. This left us with a tricky keystroke problem to solve.
Update: model maintenance Welcome to the new followers who joined after I posted about the Handbook in the Modeller's Miscellany. I admit to being a little nervous about opening up the Handbook to a broader audience. But I guess it's out there now! Thanks for joining! Since my last
Update: Modelling productivity pack I think the finish line is in sight, although the list of placeholders on the table of contents seems to grow faster than the new links I'm adding. Here are the major additions since my last update: Productivity pack macros We've been pushing the productivity pack
The 1.4m formula My friend Gerard shared this one. It measures 1.4m if you stretch it out. Brilliant. Keep them coming. =IF(AND( $N97<>1,$O97<>1),$F97*$I97 * IF( AND( HeavyVehInd=2, X$4>=RoadStartYr), (1-$L97),(1-$K97))*(1-INDEX( X$5:X$7, MATCH($Q97,
Update: It's all about the system. Dear friends, Many thanks for continuing to follow me on the journey of putting this book together. Over the last week or two, I've been thinking about what makes this book different from others out there. And I think it's this: a focus on teaching modelling