Oscar Ujaque Perez
cleaning.py: it is a file which contains the code for cleaning the outliers and computing the normality and homogeneity of the dataset. It also computes some regression and plots different images.
figures folder: contains all the images drawn with cleaning.py (it contains normal distributions, Q-Q plots, boxplots and regressions)
Dataset: it contains:
- wine.csv: the initial dataset
- wineStatistics.csv: the basic statistics of the initial dataset "wine.csv"
- wineTreated.csv: the dataset after treating the data (normalize, outliers, etc.)
- wineTreatedStatistics.csv : the basic statistics of the treated dataset "wineTreated.csv"
Pràctica 2: it contains the report with the responses of the practical