Data
Validating data analyses written by coding agents
[This article was first published on Seascapemodels, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Claude Code (and many other agents) has been getting so good at ecological […]
The Pit of Success, and What a Data Science Language Would Need to Make It
Rico Mariani, a long-time performance engineer at Microsoft, coined the idea of the pit of success. A system has a pit of success when the natural, lazy way of using it leads to good outcomes. You don’t need heroics or perfect memory. You fall into the right result, and climbing out to do something wrong […]
Autumn 2026 Data Science Training Courses
There are ten public training courses left in 2026, running through October and November. If you’ve been meaning to learn Python, build your first Shiny app, or get to grips with machine learning in R, there’s still time to do it before the end of the year. All courses run online and are delivered live […]
Semi-parametric option pricing based on underlying’s historical data (accepted at the osQF 2026 (ex R/Finance) conference)
This post is a follow-up to my previous posts on semi-parametric option pricing. A link to the study (accepted for presentation at the osQF 2026 conference) is provided at the end of this post. In this study (R code provided), we build an empirical pricing measure for options directly from their underlying’s historical dynamics, requiring […]
Visualising High-dimensional Data with R workshop
[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Join our workshop on Visualising High-dimensional Data with R, which is a part […]
Conformalized TabPFN: prediction intervals for a pre-trained transformer for tabular data in Python and R
Knowing a model’s prediction is useful. Knowing how reliable this prediction is, it is even more so. Conformal prediction provides just that: statistically valid prediction intervals with guaranteed coverage (under certain conditions), regardless of the underlying model or data distribution. In this article, we combine two powerful tools: TabPFNA pretrained transformer for tabular dataAnd nnetsauce‘s […]
Learning Data Science: Why a High R^2 Can Be Misleading
A top can make a regression model look incredibly accurate – but this figure can be misleading. If you want to understand why a high is not always a sign of a good role model, keep reading! In the article Learning Data Science: Modeling Basics, we built a simple model to predict income based on […]
UI templates for asynchronous workflows, background tasks, and data pipelines
Linear or non-linear design: which is best and when? There is no universally “best” design language. This section explains when linear style design works well, how to build beyond (or from) Radix UI, why it seems overused in SaaS marketing, and why conversion claims still need real testing. Berita Terkini Berita Terbaru Daftar Terbaru News […]
nycOpenData: a unified R interface for NYC Open Data APIs
I am pleased to announce the release of nycOpenDataan R package providing convenient, tidy access to dozens of datasets from New York City’s Open Data platform. The package is designed as part of an open, reproducible scientific research effort, with the goal of reducing friction between public data and statistical analysis, particularly for teaching, exploratory […]
How to download data from data backup export to the FRESA AP
Who we are Fresa Technologies Inc is an independent, neutral and professional software company which provides it and has enabled services to focus on the supply of solutions to the freight and shipping transfer industries. FRESA Technologies also focuses on the development of profitable and effective freight transfer software applications with a user-friendly interface and […]