🎬
Data Science - Wintersemester 24/25
  • Welcome
  • What’s Data Science and How Do I Do It?
    • 📆Timeline
    • 🏴‍☠️R Overview
      • 📩Installation
      • 🐈‍⬛GitHub Setup
      • 🥗DataCamp Courses
    • 🐍Python Overview
      • 📩Installation
      • 🐈‍⬛GitHub Setup
      • 📦Virtual Environment Setup
      • 🥗DataCamp Courses
  • Introduction to Your Project
    • About the Project Guide
    • What is this Project About?
  • Exploratory Data Analysis (EDA)
    • Getting started
    • Discovering the Data 🔎
      • Initial Exploration Tasks
      • Initial Data Visualization
    • Data Cleaning and Transformation
      • Cleaning the Crime Dataset👮🏼
      • Cleaning the Weather Dataset🌦️
    • Data Visualization
      • Crime Rate Over Time
      • Crime Types
    • Grouping and Merging Data
    • Linear Regression
    • Impress us!
    • Internship Complete!
  • Advanced
    • Introduction
    • K-Means Clustering
      • The Clustering Model
      • Visualize the clusters
    • Impress us!
  • ✅Exercise Checklist
  • Legal Disclaimer
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  1. What’s Data Science and How Do I Do It?
  2. R Overview

Installation

PreviousR OverviewNextGitHub Setup

Last updated 6 months ago

R Studio

Setting Up your Programming Environment

Before you can use R, you usually have to install some separate programs locally on your computer. Typically, you first install a of R. In theory, you can then start programming, but we would not recommend you to use R just like that. It is challenging to carry out an entire project with a "raw" version of R. That's why there is , a free Integrated Development Environment (IDE) for R, and it is much easier to use and nicer to look at!

If you have not set up your environment, follows the steps below for your respective language.

🏴‍☠️
📩
"raw" version
RStudio