This project performs exploratory data analysis (EDA) on an e-commerce dataset using R. It includes data cleaning, revenue analysis, customer behavior insights, product performance evaluation, time-based trend analysis, and regression modeling. Key insights include top-performing countries, high-value customers, sales trends over time, and the relationship between quantity and revenue. Visualizations and statistical techniques are used to support data-driven conclusions.

This report provides an exploratory data analysis of the HC Corpora dataset (Twitter, Blogs, and News).

Penerapan algoritma EM pada penentuan kemungkinan 2 buah koin yang dilempar

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