This is an example of an online mapping tool to make sense of geographically distributed atmospheric events over time. The Shiny app uses the Leaflet and OpenStreetMap plugins for R. The actual app can be opened in https://padames.shinyapps.io/analysis_of_storm_data_from_naoo_data/ The source code is in the branch gh-pages of the repo https://github.com/padames/DevelopingDataProducts

Visualizing two time series with animation

Visualizing expectations and variation through simulation

Part of the CalgaryR Workshop Series

Initial plan and vision for the mini-workshop series around the R language as a tool for data analysis and visualization.

A learning experience using Kaggle's Titanic data

A learning experience using Kaggle's Titanic data

Latest version. Requires the newest version of 'Utility-Functions-For-Point-Model-Classification-And-Analysis.R' with the new function to generate a visualization of the top 10 point model across all filters: "GenerateTop10ClassificationBargg2Plot"

Used in conjunction with Main.R to do analysis on PIPESIM output files from runs of 35 different point models in the Frigg to St Fergus system.

ComputeErrorsAndVariancesFromPIPESIMResultsDataFfame.R computes the errors and variances necessary for the indexes and grade.

MakeListOfFilesOfTypeXInSubdirectories.R has constants used to extract attributes from the data set and also functions that parse the output "sum" files created by PIPESIM 2012.

Collect all files of a given extension for processing

Data set generation, filtering, scaling, and analysis.