Explore the fundamentals of R programming for data science applications in this 51-minute conference talk from the Data Science Festival Summer School 2021. Learn how to explore and filter data, create visualizations, and develop a simple classification model through practical examples. Dive into topics such as data frames, data wrangling, plotting techniques, aesthetics, and machine learning. Gain insights into using R Studio, implementing the pipe operator, and working with tidy models. Discover how to build and apply classifiers for predicting results, all within the context of real-world data science challenges.
Overview
Syllabus
Introduction
Openreach
What is R
R Studio
Data Frames
Data wrangling
The Pipe
Plotting
Adding geometry
Using shapes
Aesthetics
Machine Learning
Building a classifier
Predicting results
Tidy models
Taught by
Data Science Festival
