Introduction Recently I discovered stackshare.io’s stackups which offers comparisons of different programming languages as well as their pros and cons. While looking at the all too classic comparison available between R and Python I noticed that one of the cons listed was: Messy syntax for string concatenation While ...

The Appsilon Shiny Conference begins next week! And yes, there’s still time to register at the Shiny Conference Hopin! Whether a Shiny beginner or an experienced web developer, the Shiny Conference is one event you won’t want to miss. Level up your domain knowledge with introductory workshops and ...

We’ve talked a lot about how to use different pre-made functions in R, but sometimes you just need to make your own function to tackle your data. In this blog post, I’m going to talk about how to create your own function and give a few exam...

Setup

library(data.table)
library(here)

## here() starts at /Users/davidlucey/Desktop/David/Projects/redwall-analytics

library(glue)

## Warning: package 'glue' was built under R version 4.1.2

library(tictoc)
setDTthreads(percent = 90)
path_to_data <- "~/Desktop/David/Projects/uscompanies/data"
path_to_original <- here::here(path_to_data, "uscompanieslist.csv")

Introduction On a recent side project, we encountered a large (7GB) csv of 30+ million US business names and addresses, which couldn’t be loaded into R, because of corrupted records. While not widely discussed, we have known for some time that it was possible ...

Photo by Wesley Pribadi on Unsplash Have you ever created a Shiny app that works great on your computer, but had issues once you shared it with others? This is a common experience for many data scientists. To successfully put an app into “product...

There’s some interesting discussion in response to the cross validated question: Am I creating bias by using the same random seed over and over? whuber caught my attention in the accepted answer: …there is extraordinary merit in having a well-known … Continue reading →

In a previous post, I explore the Flex dashboard library for the creation of a clean and interactive dashboard. That post can be found here. Unknown to me at the time, but I sort of skipped over the more natural progression of creating a dashboa...

In a previous post, I explore the Flex dashboard library for the creation of a clean and interactive dashboard. That post can be found here. Unknown to me at the time, but I sort of skipped over the more natural progression of creating a dashboard with R Shiny. This is ...

📖 Background The principal of a large school is interested in knowing if the test preparation courses are helpful and also know the effect of parental education level on test scores. 💪Objectives What are the average reading scores for students ...

Shikokuchuo {mirai} is a minimalist async evaluation framework for R. 未来 みらい mirai is Japanese for ‘future’. mirai provides an extremely simple and lightweight method for concurrent / parallel code execution. Since the original ‘introduction’ ar...

Two weeks ago, I launched my first very own competition on the Kaggle platform, the goal of which is to design engaging data science notebooks with great visuals, narration, and insights. Today, at the half-way point of the competition, I want to w...

This is a guest post from Gary Hutson, lead of Machine Learning at Crisp Thinking, a company that provides AI solutions to moderate and detect offensive and abusive content online. His website is available at https://hutsons-hacks.info/ and...

Theory and Methods for Inference in Multi-armed Bandit Problems Multi-armed bandit (MAB) algorithms have been argued for decades as useful to conduct adaptively-randomized experiments. By skewing the allocation of the arms towards the more efficie...