Module 3.5 Data visualisation for data exploration

[crangelsmith]

3.5 Data visualisation for data exploration

Description

In this section, we will discuss techniques for understanding your data via data viz. This section could last around 30-40m. We will use our dataset to show examples.

Outline

• Visualise patterns of missingness (is this discussed in module 2?).
• Relationships between numerical variables with scatter plots, joint plots, and pair plots.
• Relationships between numerical and categorical variables with box-and-whisker plots, complex conditional plots and heatmaps.
• Visualizing high-dimensional datasets: PCA, t-sne + UMAP. (If enough time)

References

• Missigness (is this discussed in module 2?).
• Relationships between numerical and categorical variables with box-and-whisker plots and complex conditional plots from here
• Relationships between numerical and categorical variables with heatmaps from here.
• Visualizing high-dimensional datasets.

Estimated time to write this section

As we will have to build figures with the data this section will take longer. Around 16h.