Description

This book shows how to study data with R. R is a language for writing code. Andrei Paun and Mihaela Paun start with R's basics. They then turn to graphs and ways to describe data. These show its centre and how far it spreads. They also cover quartiles, which split data into four parts.

The book covers how to draw conclusions from samples. It looks at one, two, or more samples. It also covers linear regression, which fits straight lines to data. It explores correlations, or links between two variables.

Later parts cover survival analysis, which studies time until an event. They also cover time series in R. These track data over time. The book then covers ways to measure gaps in wealth or income.

This nonfiction book is for those who study maths, statistics, and computing. Matrix Rom publishes it as part of the Matematica series.