Learning and teaching materials for R and Bioconductor

Business Science University R-Courses

This assignment is for the Course "Getting and Cleaning Data" of the Data Science Specialization offered by the John Hopkins University on Coursera.

Download IMF and World Bank `tidy` data From Quandl

Presupuesto de la Nacion de Chile

This project utilizes R to preprocess Spotify's "Unpopular Songs" and "Genre of Artists" datasets from Kaggle. Following tidy data principles, it handles duplicates, transforms variables, scans for outliers, and normalizes data. The resulting clean dataset is ready for statistical analysis, ensuring accurate and ethical data practices.

Working through the book and exercises Pandas for Everyone by Daniel Chen

Crime Data for 2016 from National Crime Records Bureau of India

Using Python to incorporate tidy data framework to COVID-19 data from Ireland, plotly to visualise data, and Flask to publish visualisations a website.

Data Visualization in R - Tidy Data & Data from Wide to Long and Long to Back