Week 11 - Exploratory Data Analysis using Data Visualisation

This lecture will teach you how to explore your data in a systematic way using data visualisation, and how you can tweak your plot to your preferences.

Photo by [Neven Krcmarek](https://unsplash.com/photos/V4EOZj7g1gw)

Figure 1: Photo by Neven Krcmarek

Learning Objectives

Part 2

  1. Learners can describe the four main aesthetic mappings that can be used to visualise data using the ggplot2 R Package
  2. Learners can control the colour scaling applied to a plot using colour as an aesthetic mapping
  3. Learners can compare three different geoms and their use case
  4. Learners can apply a theme to control font types and sizes within a plot

Slides

title lecturer part slides
Exploratory Data Analysis using Data Visualisation L. Schöbitz Part 2 Access slides in browser
Exploratory Data Analysis using Data Visualisation L. Schöbitz Part 2 Access slides as PDF

Group work

All details for your group work are in the assignment for this week.

Homework

There is one assignment this week. All other listed items are resources for you as additional references for this weeks topic.

id title_link type category effort_estimate_min submission_format due_date
1 Week 11 - Data visualisation assignment required 180 GitHub 2022-05-11
2 Tutorial: Evolution of a ggplot tutorial optional no submission, a resource
3 ggplot2: Elegant Graphics for Data Analysis book optional no submission, a resource
4 Fundamentals of Data Visualization book optional no submission, a resource
5 ggplot extensions gallery R Packages optional no submission, a resource
6 from Data to Vis Website optional no submission, a resource
7 Geocompuation with R Book optional no submission, a resource
8 Simple Features for R Article optional no submission, a resource
9 tmap: thematic maps in R R Package optional no submission, a resource
10 Statistical Inference via Data Science: A ModernDive into R and the Tidyverse! Book optional no submission, a resource
11 Tidymodels R Packages optional no submission, a resource
12 R4DS Section Model Book Chapter optional no submission, a resource

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/rbtl-fs22/website, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".