Exercise

# Correlation matrix as heatmap

Should you want to check correlations betweens hundreds of time series, representing correlations with numbers is not really helpful - for a dataset of 100 elements, you would have to analyze 10,000 (100 x 100) correlation numbers!

In this case, a **heatmap** is a better suited tool. A heatmap is a map or diagram in which data values are represented as colors. When using one, it might also be useful to reorder the corelation matrix to make it more readable. You can create heatmaps using `corrplot(method = "color")`

.

In this exercise, you will create some heatmaps with the same correlation matrix `cor_mat`

as from the previous exercise.

Instructions

**100 XP**

- Draw a heatmap of
`cor_mat`

- Draw the upper heatmap
- Draw the upper heatmap ordering the matrix using
`hclust`

in the`order`

argument