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aberman

Anna Berman

Recently Published

Predicting Activity Form Through Practical Machine Learning
For this project, our goal is to use data from wearables to predict the ways in which participants preform an activity. Participants were asked to perform barbell lifts correctly and incorrectly in 5 different ways, using data from data accelerometers on the belt, forearm, arm, and dumbbell of 6 participants we attempt to correctly identify the method of lift.
(O)esophageal Cancer Exploration App Pitch
The (O)esophageal Cancer Exploration App allows the user to explore the relationship between smoking, alcohol, and (O)esophageal cancer using the [esoph dataset](https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/esoph.html) from the R base package.
Week 3 Assignment
An analysis of month, temperature, and ozone levels in NY from May-Sept 1973 using RMarkdown and Plotly.
Developing Data Products: Week 2 Assignment
Create a web page using R Markdown that features a map created with Leaflet. Host your webpage on either GitHub Pages, RPubs, or NeoCities. Your webpage must contain the date that you created the document, and it must contain a map created with Leaflet. We would love to see you show off your creativity!
Statistical Inference - Course Project Part 2
The following contains an exploratory analysis of the ToothGrowth data in the R datasets package that contains 60 obsevations of 3 variables. The response is the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs. Each animal received one of three dose levels of vitamin C (0.5, 1, and 2 mg/day) by one of two delivery methods, (orange juice or ascorbic acid (a form of vitamin C and coded as VC). [,1] len numeric Tooth length [,2] supp factor Supplement type (VC or OJ). [,3] dose numeric Dose in milligrams/day
Economic Consequences of Severe Storms
Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This project involves exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage. This project was submitted as part of John Hopkins University's Coursera course: Reproducible Research