الدوري الممتاز الهندي 2020

This post is part of a series called The Missing Semester of Your DS Education. Introduction When I was first learning to program, I’d face problems that would require (or at least were just made easier by using) library code. For instan... Continue reading: Dependency Management http://dlvr.it/SpvWbW

R and Shiny Training: If you find this blog to be interesting, please note that I offer personalized and group-based training sessions that may be reserved through Buy me a Coffee. Additionally, I provide training services in the Spanish language ... Continue reading: An introductory workshop in Shiny, June 1st from 17.30 to 18.30 (FREE) http://dlvr.it/SptJWl

During the Covid-19 global health crisis, the organisation where I work - the Pacific Community, or SPC - compiled and published weekly updates on Covid-19 incidence, mortality and vaccination rates. This only recently stopped with the WHO determining ... Continue reading: Covid-19 vaccination rates in the Pacific by @ellis2013nz http://dlvr.it/Spq0mp

Again into a subject that is rather important for most agronomists, i.e. the selection of crop varieties. All farmers are perfectly aware that crop performances are affected both by the genotype and by the environment. These two effects are not pure... Continue reading: AMMI analyses for multi-environment studies http://dlvr.it/Spk99G

Introduction When working with data, it is important to be aware of the file size of the data you are working with. This is especially true when you are working with large datasets, as the file size can have a significant impact on the performan... Continue reading: Why Check File Size Output for Different Methods? http://dlvr.it/Spj8Gj

It doesn’t take a data scientist to use R – that’s the point we’ll prove in today’s article. If you’re an experienced Excel user, you’ve likely run into some hard limitations, or find the tool confusing and sluggish when working with large datasets. That’s ... Continue reading: 5 Ways R Programming and R Shiny Can Improve Your Business Workflows http://dlvr.it/SpfFgW

Introduction Yesterday I had the need to see data that had a grouping column in it. I wanted to use the tidy_four_autoplot() function on it from the {TidyDensity} library on it. This post will explain how I did it. The data in my session was cal... Continue reading: Exploring Data with TidyDensity: A Guide to Using tidy_empirical() and tidy_four_autoplot() in R http://dlvr.it/Spb5bm