un courbe

Wearable devices such as Fitbit, Nike FuelBand, and Jawbone Up have made it easy to track how much physical activity people perform, but rarely how well they perform it. In this project, we use accelerometer data collected from the belt, forearm, arm, and dumbbell of 6 participants performing unilateral dumbbell biceps curls in 5 different ways: Class A: Correct execution (according to specification) Classes B–E: Common mistakes (throwing elbows, lifting dumbbell only halfway, lowering only halfway, throwing hips) The goal is to predict the "classe" variable using any of the other predictors, build a robust model with cross-validation, estimate out-of-sample error, and finally predict the outcome for 20 test cases.

This project explores how the GDP rankings of African countries have changed over time, with a focused analysis of Liberia’s economic growth. Using interactive visualizations and comparative analyses, the assignment highlights patterns of economic development, identifies top and bottom performers, and examines growth rates across the continent. Through line charts, bar charts, and animated ranking visualizations, this project demonstrates how information design and visual analytics can be used to communicate complex economic trends in a clear and engaging way.