Data Analytics
Ctrlk
  • Overview
  • Empirical Research
    • 1 Research Questions
    • 2 Data Collection
    • 3 Signal and Noise
    • 4 Types of Questions
    • 5 Data
      • Data Sets
      • Data Records
      • Data Attributes
      • Data Types
      • Scales
      • Data Formats
    • 6 Tools
  • Introduction to R
    • 7 The Problem
    • 8 Vectors
    • 9 Data Frames
    • Simulations
    • Logic and Arithmetic
    • Objects and Variables
    • Data structures
    • Control structures
    • Loops
    • Functions
    • Readability and Reusability
  • Loading Data
    • Tidyverse and Tibbles
    • Load a data set
    • Load from multiple files
    • Getting to know the Data
    • Der Analyseprozess
    • Der Werkzeugkasten
  • Data Transformation
    • Five transformations
    • Select columns
    • Filter rows
    • Add columns
    • Change columns
    • Sort rows
    • Summarize rows
    • SQL and R
  • Data Visualization
    • Pleas for data visualization
    • Overview of ggplot2
    • Visualisierungsformen
    • Formatting plots
    • Multiple plots
    • Stolperfallen
    • Übungen
  • Communication
    • Quarto
  • SQL
    • Grundlagen SQL
    • Erweitertes SQL
    • Joins mit SQL
    • Textanalysen mit SQL
  • Data Sets & Exercises
    • Übungen
    • Fallstudien
    • Datensätze
  • References
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  1. Empirical Research

5 Data

Data SetsData RecordsData AttributesData TypesScalesData Formats
PreviousKausalität feststellenNextData Sets

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