This repository is a collection of R code that I've written while taking online courses and working on small projects looking at interesting data sets and exploring relationships and trends.
This is not the full extent of my R coding, but rather the code that I have had the time to write up separately way from projects.
Check my Kaggle profile for more examples of more complete projects with analysis and visualisations of different data sets.
- Cleaning strings from data: Code and thought process behind marking some strings as missing values
- Machine learning toolbox: Notes from the DataCamp course of the same name. Evaluating model performance with
caret. - Logistic regression basics: Notes about logistic regression - training and test sets, visualisations basics.
- Rowwise functions: Notes about applying functions in a rowwise manner and various ways that you can achieve that.
- Functions basics: Notes about creating readable, clear and easily usable functions in R.