EMT Shiny App Repo

Analyzed and predicted energy consumption for residential properties in South Carolina and parts of North Carolina, focusing on high-energy usage months and future demands influenced by temperature increases. Utilized predictive models and a Shiny app for interactive data exploration to offer insights and recommendations for managing peak demand

Example code representing a real-life use case for using {arrow} to improve a Shiny application

Temporary Shorcut For Reading Arrow/Parquet Bits Into R via 'reticulate'

Tidy dataset with international trade at product level (HS 2012) based on UN COMTRADE created for the course STA2101

An attempt to replicate the article 'BACI: International Trade Database at the Product-Level. The 1994-2007 Version' for the course STA2101

Physician Office Visit Cost Data 📦

R package for iteratively collating Arrow datasets out of memory

An attempt to create a consistent international trade dataset for the course STA2101

R bindings for GlareDB

Arrow database connectivity (ADBC) for DBI in R

Polars R binding