Sat, April 30, 11am West Africa Time (WAT) Organized by the OSUN R USERS GROUP, Nigeria, and coordinated by Timothy A. OGUNLEYE. Speaker Kevin O’Brien is an active contributor of... The post Free webinar: Statistical Model Diagnostics and Validation Techniques using R appeared first on R Consortium.

As part of our eoda | analytic infrastructure consulting we are looking for a System Engineer in the field of analytic infrastructure landscapes.   With strong problem-solving skills and focused on the requirements of our customers, you will work on varied projects as part of an interdisciplinary, agile team. You develop existing ...

How to combine model interpretation package "flashlight" with "plotly"?

Your production system just broke down. What should you do now? Can you imagine your shiny application / flask app, or your API service breaking down? As a beginning programmer, or operations (or devops) person it can be overwhelming to deal with logs,...

24 April 2022 This update to Big Book of R happened a little differently than the previous ones in that I livestreamed while I was updating it. During the update I felt that there were enough books for the topic of Finance to warrant it’s own chapter! Thanks to Zachary … The ...

This post explains how to forecast yield curves using Dynamic Nelson-Siegel model given information of estimated parameters. Forecasting of Dynamic Nelson-Siegel model We estimated parameters of dynamic Nelson-Seigel model in the pre...

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...