R, a language renowned for its data analysis capabilities, is embraced by data scientists worldwide. Within the expansive realm of R packages, the Tidyverse ecosystem stands out as a powerful...continue reading.
Using R as an alternative to SAS (Statistical Analysis System) offers bespoke interactivity on top of R routines. It enables effective technical handling while engaging non-technical users through interactive data...continue reading.
Some years ago I read an article – I forget where – describing how our general knowledge often becomes frozen in time. Asked to name the tallest building in the...continue reading.
Travelling Salesman Problem is an NP-complete problem and an old mathematical problem. For this useless function, we will look for the nearest city from the previous city (or starting point)...continue reading.
Tidyverse is a collection of R packages, primarily for data engineering and analytics. These packages are ggplot2, purrr, tibble, dplyr, tidyr, stringr, readr, and forcats. And all combine the same...continue reading.
You can read the original post in its original format on Rtask website by ThinkR here: Row-wise operations with the {tidyverse} We are often asked how to perform row-wise operations...continue reading.
You can read the original post in its original format on Rtask website by ThinkR here: The top 10 R errors, the 7th one will surprise you In the same...continue reading.
On candy stripe legs the Spiderman comes, softly through the shadow of the evening sun (Lullaby, The Cure) Cellular automata are an inmense source of artistical images. Today, I experimented...continue reading.
Background This post compares common data manipulation operations in dplyr and data.table. For new-comers to R who are not aware, there are many ways to do the same thing in...continue reading.
Don’t we all miss 2019 (blame Covid for the long delay in this post). The days of going to work and seeing your work colleagues face to face – and...continue reading.
Do you want to do this yourself? Please feel free to download the Databricks Notebook or the R-script from out gitlab page. Click here to return to the index page...continue reading.
In a sequence of articles we compare different NLP techniques to show you how we get valuable information from unstructured text. About a year ago we gathered reviews on Dutch...continue reading.
Do you want to visualize beautiful graphs in R but are shy to leave the tidyverse? Tidygraph and Ggraph ‘got you covered! See how their main functionalities are applied in...continue reading.
Continuous integration is an amazing tool when developing R packages. We push a change to the server, and a process is spawned that checks we haven’t done something silly. It...continue reading.
Background I’ve always found it a bit of a pain to explore and choose from all the different themes available out there for {ggplot2}. Yes I know, I know -...continue reading.
In this tutorial, we’re going to analyze covid19 data using R and the Tidyverse. Recently, we started a data analysis series, where we analyzed covid19 data. The first set of...continue reading.
What this is about ???? I will simulate a minimal labelled survey dataset that can be exported as a SPSS (.SAV) file (with full variable and value labels) in R....continue reading.
Background Given present circumstances in in the world, I thought it might be nice to write a post on a lighter subject. Recently, I came across an interesting Kaggle dataset...continue reading.
Abstract: Web-scraped data are used to put a Rubik’s cube competition result into perspective. The sugarcoating consists of altering the sampling frame of the comparison to the more relevant population...continue reading.
Sin patria ni banderas, ahora vivo a mi manera; y es que me siento extranjero fuera de tus agujeros (Tercer movimiento: Lo de dentro, Extremoduro) The technique I experimented with...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
