readr

Learn tidyverse in R via a set of swirl (https://swirlstats.com) lessons on introductions to tidyverse.

Short course introducing R programming in the Tidyverse

Getting started with using R more intently.

AI analysis R package for generating comprehensive scientific reports and plots using OpenAI's API.

This repository is dedicated to learning and practicing R programming language. Whether you are a beginner or an experienced R user, this repository offers a variety of resources to help you improve your R skills and knowledge.

En este repositorio subo los materiales de mis clases de R. He estado modificando/arreglando algunas y publicando otras. Cualquier duda o sugerencia favor escribirme a najulian@mat.uc.cl!

Comparing the temperature trends in Cairo to overall global temperature trends.

This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓

This repository contains a complete analysis of the"Churn Modelling" dataset, focusing on understanding customer churn patterns for a bank.

READR — clean page, one click. A fast reader mode that turns any cluttered article into a calm, distraction-free reading view. Click the READR icon on any page and the text is rebuilt into a clean reading layout — no ads, popups, autoplay, or cookie banners in the way. Your original page is untouched; press ESC to return.

📓🎓 Teaching: code and data for a beginner R training session

Slides and code presented in the second meetup of R-Ladies Frankfurt

Lab 2: Dive into datasets

Introductory R for data science course. Specifically, reading in, wrangling, and visualizing data using the tidyverse ecosystem.

A collection of utilities to help you wrangle misbehaving text files into a SQL database

ts-plots.R

The cheat sheets translated into Turkish.

En este repositorio compartiré las ayudantías y clases que me corresponden realizar/elaborar en el Diplomado de Data Science de la UC en su versión 2021! Cualquier duda del diplomado u otro escríbeme a najulian@mat.uc.cl!

A Data Mining project in R analyzing e-commerce shipment factors (discounts, product weights) to predict late deliveries using Decision Trees, Logistic Regression, and Naïve Bayes.

Projeto desenvolvido em RMarkdown e Shiny para explorar informações de circulação de dinheiro no Brasil.