The data found in file propTableBPAvgPlatCountBinaryClass.csv contains attributes annotated from
patients with Intercerebral Hemorrhage (it may be necessary to read
something about the disease. For example,
this
paper). In this dataset, the learning task
is **classification**. The class variable is binary and
corresponds to the length of stay of a patient in the intensive care
unit (ICU).

Examine the data, study all variables and
apply **correlations**, **PCA**, **ANOVA**, **LDA**
(linear discriminant analysis) and **linear regression** to
this data. Interpret and compare the results.

Apply the methods accordingly (check applicability). What can you tell and do about the categorical (nominal) variables?

Repeat the exercise using the file propTableBPAvgPlatCount.csv, where the target variable is of continuous type.

Can you apply linear regression to the first set of data where the target variable is binary?