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LaurieBel

Laurie Belindo

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R ggplot2 Geoms: Review Notes
My personal documentation, for future reference and created after completion of the JHU Data Science Specialization, online via Coursera LMS. Notes paraphrased from Roger D. Peng's book "Mastering Software Development in R".
R ggplot2 Basics
My personal documentation, for future reference and created after completion of the JHU Data Science Specialization, online via Coursera LMS. Notes paraphrased from Roger D. Peng’s book Mastering Software Development in R.
R Read In Data with readr
My personal documentation, for future reference and created after completion of the JHU Data Science Specialization, online via Coursera LMS. Notes paraphrased from Roger D. Peng's book *Mastering Software Development in R*.
R Tidy Data
My personal documentation, for future reference and created after completion of the JHU Data Science Specialization, online via Coursera LMS.
R Data Types
My personal review notes. For future reference, created upon completion of the JHU Data Science Specialization, on Coursera LMS.
Diamond Comparison
Shiny application comparing diamond attributes and price.
R Markdown Presentation with Plotly
Developing Data Products, Week Three Project
Leaflet R Markdown Demo
Developing Data Products. Map application created with R Leaflet Package via R Markdown.
Machine Learning on Human Performance
Prediction Models: Classification Tree, Generalized Boosting, Random Forest
Motor Trend MPG Regression Analysis
An analysis of MPG relative to transmission type, based on the mtcars 1974 dataset.
Inferential Analysis
A inferential analysis of the effect of Vitamin C on tooth growth in guinea pigs, as recorded in the R ToothGrowth dataset.
Exponential Distribution Simulation
An investigation of the exponential distribution in R for a given set of parameters, and related comparison with the Central Limit Theorem. For this illustration, we generate 1000 simulations of the averages of 40 exponentials, with lambda=0.2.
NOAA Storm Event Data Analysis
Reproducible Research to determine the environmental events most dangerous to human health, and most expensive in terms of property and crop loss.