optiRTC data

The primary objective of this study is to perform dimensionality reduction using the Principal Component Analysis (PCA) method. The analysis is conducted on a dataset sourced from Kaggle [https://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009], focusing on the quality assessment of red wine. The dataset originates from the publication: P. Cortez, A. Cerdeira, F. Almeida, T. Matos, and J. Reis. “Modeling wine preferences by data mining from physicochemical properties.” Decision Support Systems, Elsevier, 47(4):547–553, 2009. The dataset comprises 1,599 observations and 12 numerical variables, with input features derived from physicochemical tests and an output variable reflecting sensory evaluations of wine quality.

Esto es una tarea que el profesor nos mando hacer sobre hacer un documento que este relacionado con la carrera de estadística (en este caso es de medidas descriptivas), soy nuevo con esto pero creo que hice un trabajo mas que aceptable

optiRTC data

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