Accompanies my Capstone Project for the Johns Hopkins/Coursera certificate program in Data Science. The next-word prediction app developed in conjunction with this can be found at https://johnbarnesstudentwork.shinyapps.io/NewImprovedWordPredictor/

Accompanies my Capstone Project for the Johns Hopkins/Coursera certificate program in Data Science. The next-word prediction app developed in conjunction with this can be found at https://johnbarnesstudentwork.shinyapps.io/NewImprovedWordPredictor/

Distribution, mean proportion, "lemon", in 3 datasets

This is a clean-and-neat version of the course assignment in the Reproducible Research course (Coursera/Johns Hopkins) which I'm publishing as a portfolio piece. The job was to analyze and correct step data recorded by a single user at 5 minute intervals through two months; questions to be answered were chosen by the instructor. Just a demonstration that I can write basic R for data acquisition and cleaning, analysis, and graphics.

The Orton-Gillngham system of teaching phonics for reading is one of the most successful. Reading specialists who use it, however, need a large supply of precisely tailored wordlists for instruction and assessment, and exactly because the system is sophisticated and complex, each wordlist requires a lot of work This is my presentation about a prototype R program for automating that process.

Report on NOAA Storm Dataset, event types which result in greatest harms to health and property in US, 1950-2011. Prepared for assignment PA-2 in Reproducible Results Coursera/Johns Hopkins course, section 034.