This project applies the ABC Analysis framework (80/20 Pareto principle) to an e-commerce dataset containing 112,650 transaction entries from a Brazilian e-commerce business spanning a four-year period.By categorizing products into A (High-Value), B (Mid-Value), and C (Low-Value) classes based on their cumulative revenue contribution, this study explores the direct relationship between an item's financial value and its purchase velocity. The analysis leverages dplyr for data segmentation and ggplot2 for descriptive visualizations.Additionally, the documentation highlights an essential data-cleaning and quality-assurance workflow—specifically addressing variable reference overrides and implementing a Logarithmic Scale ($Log_{10}$) transformation on boxplots to accurately resolve heavily skewed product lifecycles. The final visualizations provide clear, actionable insights into customer repeat-purchase behavior, offering distinct inventory management and capital optimization strategies for each product class.

Pengaplikasian regresi logistik multinomial, regresi logistik ordinal, dan regresi poisson menggunakan R Studio dan data sekunder asli yang diperoleh dari website Bada Pusat Statistik

Part samples of diameter of a subassembly

Couldn't figure out how to open the data in the csv even though its somewhere in the video

RYouwithme tutorial RMarkdown lesson3

This report examines whether observable statistical anomalies are present in the certified results of the 2024 Presidential Election in North Carolina.