PCoA plots visualizing fungal community differences (ITS profiles) between composites, averages and replicate treatment ITS profiles for Week 3

Nilai perdagangan produk rumput laut hscode 121221 (Seaweeds and other algae; not fit for human consumption, fresh, chilled, frozen or dried, whether or not ground) Data Coverage 99%

PCoA plots visualizing fungal community differences (ITS profiles) between composites, averages and replicate treatment ITS profiles for Week1

Exploring NBA Free Throw data

Tugas Pertemuan 4, STA1222-Rancangan Percobaan, IPB University

The Titanic disaster remains one of the most analyzed historical events due to its tragic loss of life and the notable patterns among survivors (and probably very popular and available dataset :D). Using association rules, this project aims to uncover hidden relationships between passenger attributes and survival outcomes leveraging Apriori algorithm to find meaningful associations in the Titanic dataset, revealing patterns in demographics, ticket class, family structure, and embarkation points.This project is conducted using the Titanic dataset from Kaggle (https://www.kaggle.com/c/titanic/data?select=train.csv), transformed into a transaction-based format for association rule mining.