Corporate Reputation

This project investigates the effectiveness of Principal Component Regression (PCR) in predicting car prices, specifically addressing the challenge of multicollinearity inherent in automotive specifications. The analysis reveals that the first two components explain approximately 70% of the variance, representing intuitive axes of "size-and-power" and "sporty versus economy". Ultimately, utilizing three principal components provided an optimal balance between information retention and model stability. Still, Ordinary Least Squares (OLS) model demonstrated marginally higher predictive accuracy in 10-fold cross-validation.

rmANOVA/Friedman-Test

This table will provide a quick run-down of all 192 species of sponge that have been found in rockpools across the UK, and show you which are the most common. For this table we have used records from the National Biodiversity Network (NBN) and iNaturalist.

Lapiz y papel vs lapiz y tableta difgital

ANOVA/Kruskal-Wallis-Test

Laporan praktikum mengenai data preprocessing di R yang mencakup deteksi dan penanganan missing values, data duplikat, outlier, serta inkonsistensi data. This project demonstrates a data preprocessing workflow in R, including missing value handling, duplicate detection, outlier treatment, and data consistency checks.