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 Problem
Phase 1: Play the game
Phase 2: Games as vectors
Phase 3: 100 games as a tibble
tibblePhase 4: Simulate the game
Getting started with R
Part 1: Calculating and names
Part 2: Vectors and data types
Data transformation with R and dplyr
The content of this path is being written right now.
Data visualisation with R and ggplot2
The content of this path is being written right now.
Self-assessment
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.