New minor releases of the R/exams package to CRAN with many enhancements including TinyTeX support and extended control over the random variation in dynamic exercises through fixed parameters or custom...continue reading.
New minor releases of the R/exams package to CRAN with many enhancements including TinyTeX support and extended control over the random variation in dynamic exercises through fixed parameters or custom...continue reading.
For the letter G, I’d like to introduce a very useful function: group_by. This function lets you group data by one or more variables. By itself, it may not seem...continue reading.
Have a look at what my team and I worked on during the Permafrost Hackathon in Zurich. The goal was to detect movements from multitemporal images. Since the images didn’t...continue reading.
We are extremely excited to have our first release of the gt package available in CRAN! The name gt is short for “grammar of tables” and the goal of gt...continue reading.
We are extremely excited to have our first release of the gt package available in CRAN! The name gt is short for “grammar of tables” and the goal of gt...continue reading.
Exercise template for a multiple-choice knowledge quiz question with flexible shuffling of the alternatives. Name: capitals Type: mchoice Related: swisscapital Description: Knowledge quiz question about c…continue reading.
Exercise template for a multiple-choice knowledge quiz question with flexible shuffling of the alternatives. Name: capitals Type: mchoice Related: swisscapital Description: Knowledge quiz question about c…continue reading.
The classic saying “correlation does not imply causation” is still an incredibly important thing to keep in mind when doing data analysis. Spurious regressions will sneak up on you and...continue reading.
For the letter F – filters! Filters are incredibly useful, especially when combined with the main pipe %>%. I frequently use filters along with ggplot functions, to chart a specific...continue reading.
This is the first of two blog posts about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions...continue reading.
This is a new installment in a series of tutorials showing you how to analyze covid-19 data with Python. In the last few tutorials, we’ve done quite a bit of...continue reading.
There is an incredible amount of COVID-19 related material available online. While many dashboards, data sets, shiny apps and models represent significant contributions towards fighting the pandemic, we seem to...continue reading.
The term “federated learning” was coined to describe a form of distributed model training where the data remains on client devices, i.e., is never shipped to the coordinating server. In...continue reading.
Appsilon’s open source shiny.info package just received a major update and is now available on CRAN. A great solution for development and testing, shiny.info allows for displaying diagnostic information from...continue reading.
For the letter E, I want to talk about a set of operators provided by tidyverse (specifically the magrittr package) that makes for much prettier, easier-to-read code: pipes. The main...continue reading.
Updated August 2020: If you’d like to learn more about best practices for Remote Data Science Teams, read this article by Appsilon Senior Data Scientist Olga Mierzwa-Sulima. Much more of...continue reading.
Hello and welcome to this new issue! Release Date: 2020-04-06 This week’s release was curated by Eric Nantz, with help from the RWeekly team members and contributors. ggpattern: pattern &...continue reading.
At the end of March a paper modelling the impact of various scenarios on the spread of COVID-19 infections, by the MRC Centre for Global Infectious Disease Analysis at Imperial...continue reading.
At the end of March a paper modelling the impact of various scenarios on the spread of COVID-19 infections, by the MRC Centre for Global Infectious Disease Analysis at Imperial...continue reading.
Artificial intelligence / Deep neural networks / Keras / R / R News / Spark
April 22, 2024
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
