Analysis of earthquakes from 1900 to date

O Guia básico de introdução ao software R foi desenvolvido para quem está começando no uso do R. Ele explica, de forma simples e prática, como instalar, utilizar.

This study aims to perform dimensionality reduction on a dataset containing physical properties of superconducting materials. Since the dataset includes 81 features, many of which are likely correlated, dimensionality reduction provides an effective way to simplify the dataset and serves as a strong starting point for further analysis. To achieve this, Principal Component Analysis will be employed. PCA is a linear technique that transforms the original variables into a smaller set of uncorrelated variables, known as principal components, while retaining as much variance as possible from the original dataset.