Please check the corresponding presentation.
Explorative data visualisation is a very important part when analysing the structure in our data. It should always be one of the first steps when starting a new data science project.
In case this is your first time using R you need to install your own copy as well as RStudio, a software application that makes R easier to use. Both R and RStudio are free and easy to download. R is maintained by an international team of developers. The top of the web page provides three links for downloading R. Under this link you can download Rstudio
In this chapter I introduce the concept of the R visualisation package ggplot. Regarding the installation please check the code. Afterwards it is the next step to define a theme, please check the code.
In this chapter we look at different visualisation types showing the distribution of one variables. Please check the code.
Chart types covered
- Frequency plot
- Histogram
- Box-plot
- Density plot
In this chapter we look at different visualisation types presenting the relationships between two variables. Please check the code.
Chart types covered
- Scatter plot
- Beeswarm plot
- Hexagonal binning
- Heatmap
Time series data have a very specific structure. The goal is to understand over time patterns (trends) which are often presented as line charts. The focus of this chapter is on the visual analytical flow when investigating patterns over time. Please check the code.
In this chapter I present three more advanced visualisation types as their strucutre is less commonly used and/or cover higer visual complexity. Pleased check the code.
Chart types covered
- Parallel coordinates
- Dumbbell chart
- Waffle chart
The markdown option is a good way to save the whole project including comments and summaries. Please check the code.