R pubs ini dibuat untuk menyelesaikan laporan praktikum mata kuliah komputasi statistika ke-9

Implementasi dilakukan menggunakan bahasa SQL melalui SQLite pada R untuk menunjukkan bagaimana perintah dasar seperti CREATE, INSERT, SELECT, UPDATE, DELETE dan JOIN dapat digunakan dalam konteks operasional toko elektronik.

Studi Kasus Partitional

This report presents an analytical study using hierarchical clustering on the Wine dataset as part of the Week 11 predictive modeling assignment. The analysis includes data preprocessing, distance computation, and the application of multiple linkage methods to explore the underlying structure of the dataset. Cluster quality is evaluated through dendrogram interpretation and silhouette analysis to identify the most appropriate clustering configuration. The findings provide insights into how chemical attributes of wines group into distinct clusters and demonstrate the usefulness of hierarchical clustering for unsupervised pattern discovery.

Analysis and Predictive Modeling || Density || Data Science || Luthfi Akhyar Hasibuan 52240014 || Institut Teknologi Sains Bandung || ITSB ||