Name: Peter Ellis
Type: User
Company: Pacific Community | Communauté de Pacifique
Bio: Director of the Statistics for Development Division at SPC. Statistician, data scientist, senior manager, consultant. Most of my stuff on GitHub is in R.
Twitter: ellis2013nz
Location: Nouméa, Nouvelle-Calédonie
Blog: http://freerangestats.info
Peter Ellis's Projects
D3 JavaScript Network Graphs from R
A list of New Zealand Datasets and APIs
Yet another set of analysis of the New York City Taxis
An experimental Shiny app to explore the New Zealand census data from 2001, 2006 and 2013.
Probabilitstic prediction model for the New Zealand general election
Understanding good lead indicators for the New Zealand economy
New Zealand election and census results data in convenient form of two R packages - nzelect and nzcensus
Combine a range of publicly available data about Australia
Flexdashboard for covid19 cases
Collect Australian data sets and work with them. Created at The 2017 BURGr R Unconference in Brisbane, Australia.
Australian federal elections data and forecasts
Experiments in pivoting large, long thin data tables into wide, shorter (and maybe even larger) ones
Analysis and presentation on forecastHybrid and prediction intervals, for the Australian Statistical Conference SSA stream in December 2016
R code for reading and writing files in libsvm format
ORD for R micromap package development
Example folder system for a corporately-styled RMarkdown document
A twitterbot that tweets about #rstats
Demo Shiny app in various stages of creation
Example simulations of health microdata
R package of all the Stats NZ classifications
Standardised tables for doing cross agency work in the IDI
R package for accessing the StatisticsNZ API
Database of microdata from open source surveys
Datasets from the 2011 Tourism Forecasting Competition
R package for treemap visualisation
Miscellaneous data collection and analysis based on Twitter
Chart of key battleground states in 2020 election
regularly grab data from the web that isn't available via API