Personal scoop bucket I use as an R user and software engineer

🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！

Purdue MSBA Projects

This repository contains the exam project in the course 'Spatial Analytics' for the elective 'Cultural Data Science' at Aarhus University.

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab R docker images. Please submit Pull Requests to the GitLab repository. Mirror of

Public portfolio website.

Easy interactive web applications with R

RStudio hex stickers

My project site and repo for recreational data exploration and #tidytuesday participation.

Tabla interactiva de episodios del podcast de cine HOY TRASNOCHE.

Curso prático de Ciência Aberta focado em ferramentas para reprodutibilidade: OSF, Zenodo, Zotero, Git/GitHub, RStudio/Quarto, e Docker. Aprenda a tornar sua pesquisa transparente, colaborativa e reprodutível. Ideal para pós-graduandos e cientistas de todas as áreas.

RStudio addin for searching for all local projects and editing the most recently used project list

"Researching Social Life 1" - a research methods module for 2nd-year undergraduate Sociology / Politics & Sociology students at Newcastle University (UK)

Kubernetes operator for running RStudio on Kubernetes

Bookdown with material for BioDataScience-Course teachers and administrators only

Datos públicos sobre la epidemia de Coronavirus COVID-19

This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)

Materiales de docencia de Viacheslav Shalisko para cursos de R

Utilized time series forecasting and regression analysis on a dataset of 30 car models to predict sales and prices, aiding industry decision-making

Utilized statistical analysis & regression models to assess customer feedback, behavior, loans, revenue & assets providing actionable insights for business improvement.