Hands-on Data Science
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Module5 sections

Exploratory Data Analysis

Part of the master's module Empirical Research

Getting to know data before drawing conclusions: finding and showing distributions, relationships and anomalies, with R and good charts.

The Monty Hall ProblemProject · 4 phases

Phase 1: Play the game

4 items
  1. Geh aufs Ganze: the game on television Video 5 min
  2. Experiment 1: Three doors in the classroom Experiment 30 min
  3. What should we measure? Demo 10 min
  4. Types of variables Slides 20 min

Phase 2: Games as vectors

5 items
  1. The game with three doors Demo 5 min
  2. Vectors and data frames Slides 45 min
  3. Vectors Lesson 20 min
  4. Numbers, text and logical values Lesson 10 min
  5. Experiment 2: Your games as vectors Experiment 45 min

Phase 3: 100 games as a tibble

2 items
  1. Let's Make a Deal: 100 games with three doors Data set 5 min
  2. Experiment 3: 100 games as a tibble Experiment 60 min

Phase 4: Simulate the game

2 items
  1. Calling functions Lesson 10 min
  2. Experiment 4: The game as a simulation Experiment 60 min
Getting started with RLearning path · 9 steps

Part 1: Calculating and names

4 steps
  1. R as a calculator Lesson 8 min
  2. Giving values a name Lesson 8 min
  3. Calling functions Lesson 10 min
  4. Exercise: What does the milk cost per year? Exercise 15 min

Part 2: Vectors and data types

5 steps
  1. Vectors and data frames Slides 45 min
  2. Vectors Lesson 20 min
  3. Numbers, text and logical values Lesson 10 min
  4. Missing values Lesson 8 min
  5. Exercise: The weekly shop Exercise 20 min
Data transformation with R and dplyrLearning path

The content of this path is being written right now.

Data visualisation with R and ggplot2Learning path

The content of this path is being written right now.

Self-assessment
  1. Self-assessment: Exploratory data analysis with R Exercise 60 min
  2. Products from the REWE online shop Data set 5 min
About this module

This collection accompanies the part on exploratory data analysis in the master's module Empirical Research. The slides use the survey on milk and chocolate to show what exploring achieves and which type of question it can answer; after that one section introduces R, the next data transformation with dplyr and another data visualisation with ggplot2; further sections on describing and checking data are being written right now and will also be available from the start. At the end a self-assessment shows you where you stand.

    A four-digit code takes you straight to the item.