an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)

Extra-strength glue engines for R Markdown, Quarto, and Shiny

Avoid the typical working directory pain when using 'knitr'

Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)

🏭 A project for analyzing global CO₂ emissions using R, leveraging OWID data to create 12 visualizations that explore historical trends, economic relationships, and top emitters. Includes a linear regression of per-capita emissions on GDP per capita and supports reproducible workflows via Makefile, RMarkdown, and Docker.

😎 A clean and stylish template for rmarkdown 🐯

䷗ Hard-Wrapping Rstudio Add-In ䷗

📈 Evaluation of the Predictive value of short-term Oliguria and minor Creatinine increases for Acute Kidney Injury in ICU

EDA for Prosper Loan data

Empirical analysis with financial data (MSFT stock returns) in R, with the goal to produce useful forecasts using univariate, multivariate time series models and volatility models.

Solutions for DATA5207 Data Analysis in the Social Sciences from the University of Sydney.

interactive Bioinformatics Exploratory Tools

Autograder for R scripts, Rmd documents, and Jupyter Notebooks with R kernels

HarvardX: PH125.9x: Data Science - Capstone Breast Cancer Diagnosis Project

DNA methylation for tumor subclassifications by methylation array.

Introduce OOP in R based on the most commonly used S3 system and explain the relationship between objects and their methods (a.k.a. functions in the context of OOP). Finally using examples show how R classifies and identifies S3 objects. An example will show how easy it is to create S3 generic functions.

This repository is a solution to a data challenge by Capital One for Senior Data Analyst role

Exploratory Shiny

Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.

Making Recommendations from Show Rating Data Using PCA & Clustering