Data Elixir - Issue 491
06-25-2024
 ISSUE 491 · June 25, 2024Note that Data Elixir is taking next week off and will be back in your Inbox on July 9th. Have a great couple of weeks! Talks & ConferencesNew York R conferenceTalks from the recent New York R conference are now online. There's a variety of worthwhile presentations here, including:
R Conference PRESENTED BY dltHub 
From pandas to production: elt with dltdlt is all the best practices of data engineering distilled into an open source library, with a simple interface like pandas, meant for the whole team. Now that everyone can leverage advanced data engineering abstractions with a single function call, the friction between teams and the maintenance just disappear. Posts & TutorialsLessons learned from scaling to multi-TB datasetsWhat's the best way to work with multi-terabyte datasets? It depends. What compute resources are available? How is your data stored? How is it accessed? Have you eliminated algorithm inefficiencies? What does your workload look like? Ultimately, there is no one-size-fits-all solution but this post is a good exploration of some options. What to do with age? Linear, Discrete, Both, or SplineHow you model age in regression analysis can significantly impact your results. In his latest post, Vincent Arel-Bundock provides practical insights, code examples, and visualizations comparing linear, discrete, combined, and spline methods for modeling age. Sculpting the Moon in RIn this post, Tyler Morgan-Wall shows how to visualize data on curved surfaces using the rayverse and R. Learn how to map data to a sphere so you can properly visualize areas both at the equator and near the poles. Exploring Wemby’s AccuracyThis tutorial walks through an approach for analyzing how the accuracy of a professional basketball player progresses over the course of an NBA season. It uses an iterative method, beginning with correlation analysis and ending in game modeling using Bayesian statistics. Master AI & learn how to analyse large datasets 10x faster (Early July 4th Sale) 🇺🇸Join this incredibly powerful AI Crash Course to see how 1 Million+ people across the globe are using 20+ AI tools, multiple hacks & prompting techniques to work faster & more efficiently. In this course, you will learn how to:
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CareerStrengths, Weaknesses and Blind Spots of ManagersIn a recent study, Gallup surveyed 2,729 managers and 12,710 individual contributors to identify management strengths, weaknesses, and gaps between manager and team perceptions. This post dives into the findings and offers insights and suggestions along the way. This is a useful post for both managers and anyone with a manager. Outlierllama.ttfllama.ttf is a font file which is also a large language model and an inference engine for that model. Wait. What?... The trick is that the font has an LLM embedded in it using WebAssembly. Check out the demo, starting at 8:30!!!!!!!!!! Last Week's Top Links
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