A short introduction to the PredictAbility app, an exercise in comparisons of language prediction. This app was created to satisfy the requirements of the Capstone Project for the Data Science Specialization from John Hopkins University via Coursera.

We are still a long way from having a working prediction system. However, it is clear that these corpora do provide us with plenty to work with. The obvious concern will be managing a memory versus prediction performance trade off, and it is quite likely that significant time will be spent on evaluating criteria that can be used to trim unnecessary entries from the n-gram tables.

A description of the AnscombesQuartet app, and how to use this Shiny app.

A report generated to satisfy the requirements of the Reproducible Research course in the Data Science Specialization at Coursera. This report is based on a dataset derived from the NOAA Storm Event Database looking to address questions of what event types have greatest impacts on population health and the largest economic consequences.