๐ŸŽฌ
Data Science - Wintersemester 24/25
  • Welcome
  • Whatโ€™s Data Science and How Do I Do It?
    • ๐Ÿ“†Timeline
    • ๐Ÿดโ€โ˜ ๏ธR Overview
      • ๐Ÿ“ฉInstallation
      • ๐Ÿˆโ€โฌ›GitHub Setup
      • ๐Ÿฅ—DataCamp Courses
    • ๐ŸPython Overview
      • ๐Ÿ“ฉInstallation
      • ๐Ÿˆโ€โฌ›GitHub Setup
      • ๐Ÿ“ฆVirtual Environment Setup
      • ๐Ÿฅ—DataCamp Courses
  • Introduction to Your Project
    • About the Project Guide
    • What is this Project About?
  • Exploratory Data Analysis (EDA)
    • Getting started
    • Discovering the Data ๐Ÿ”Ž
      • Initial Exploration Tasks
      • Initial Data Visualization
    • Data Cleaning and Transformation
      • Cleaning the Crime Dataset๐Ÿ‘ฎ๐Ÿผ
      • Cleaning the Weather Dataset๐ŸŒฆ๏ธ
    • 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!
  • โœ…Exercise Checklist
  • Legal Disclaimer
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  1. Whatโ€™s Data Science and How Do I Do It?

R Overview

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Last updated 6 months ago

R is a programming language that was developed by statisticians in the early 90s for use in the calculation and visualization of statistical applications. R is now one of the most widely used programming languages in the field of data science. Code in R does not have to be compiled, but can be used interactively and dynamically. This makes it possible to quickly gain basic knowledge about existing data and to display it graphically. R offers much more than just programming, but also a complete system for solving statistical problems. A large number of packages and interfaces are available, with which the functionality can be expanded and integration into other applications is made possible.

Helpful Links

  • (to document your analyses)

  • (forum for all kinds of coding questions)

  • (Statistics and Data Science forum)

๐Ÿดโ€โ˜ ๏ธ
RStudio Cheat Sheets
RMarkdown Explanation
StackOverflow
CrossValidated