Introduction to R

PGT-605 - Methods and techniques in territorial planning and management

Dr. Beatriz Milz

12/11/2024

What is…

R?

R is a free software environment for statistical computing and graphics. (https://www.r-project.org/)

RStudio?

RStudio is an IDE (integrated development environment) for the R Language.

RStudio Cloud?

It’s the RStudio IDE that we can use directly from the browser (no installation required).

Why use programming languages to analyze data?

Advantages of analyzing data using programming languages

• Code is a language, so we can document our analysis

• Code is text, so we can copy and paste

• The main programming languages for data science are open source

What does it mean to be open source?

1. Free access.

2. Everyone can use the best tools regardless of financial power.

3. Students can use the same tools as professionals.

4. You can develop your own tools.

5. Enables an active community to exist.

Why R?

Why use R?

• It’s a programming language with many tools for data analysis

• It’s open source

• It has an active community of developers

• It’s flexible, allowing you to develop functions and packages to facilitate work

• It’s available for free on different platforms: Windows, Linux, and Mac

• Maintained by the R Development Core Team

Data Analysis workflow

Let’s get started with R!

After the class

• R and RStudio installed on your computer.

• Links for installating:

  • R
  • RStudio

During the workshop

• We can use RStudio Cloud: https://posit.cloud/

Study Materials (Portuguese)

• Livro R para Ciência de Dados (2a Edição)

• Material do curso: Introdução à análise de dados no R - Utilizando dados públicos e registros administrativos brasileiros

• Livro Ciência de Dados em R

• Livro Análises Ecológicas em R

Study materials (English)

• R for Data Science

Thank you!

milz.bea@gmail.com