The 'Other', as in 'a person different from yourself', has always been a difficult topic. So it is today and this paper addresses the question : *"Do people living in the US South Atlantic region have a strong different opinion from people in other US regions regarding 'racial differences in welfare are caused due to lack of education' ?"* Since 'Ferguson' the topic under discussion has received international attention. However, it should not be too difficult to imagine a similar survey in, let's say, any European country and discover similar results (maybe the word 'racial' should then be replaced by 'ethnic' or 'immigrants'...)

The data set is for a collection of cars, and we are asked in exploring the relationship between a set of variables and miles per gallon (MPG) (outcome). We are particularly interested in the following two questions: - Is an automatic or manual transmission better for MPG - Quantify the MPG difference between automatic and manual transmissions

This is the accompanying documentation for a shiny app that visualises common standard probability distributions by comparing the histogram of random draws with the theoretical distribution.

Using devices such as Jawbone Up, Nike FuelBand, and Fitbit it is now possible to collect a large amount of data about personal activity relatively inexpensively. These type of devices are part of the quantified self movement - a group of enthusiasts who take measurements about themselves regularly to improve their health, to find patterns in their behavior, or because they are tech geeks. One thing that people regularly do is quantify how much of a particular activity they do, but they rarely quantify how well they do it. In this project, the goal will be to use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. They were asked to perform barbell lifts correctly and incorrectly in 5 different ways. The goal of this algorithm is to predict the manner in which the participants did the exercise, captured in the outcome variable classe.

Analysis of movement data