Modelled Territorial Authority GDP for New Zealand

October 29, 2015
By

(This article was first published on Peter's stats stuff - R, and kindly contributed to R-bloggers)

A big project at my work that I was involved with over the past year was the production of modelled estimates of gross domestic product at the District and City level. There are official statistics at the Regional Council level (16 of them in New Zealand), so the aim of this project was to get that extra bit of granularity that makes analysis more meaningful.

image

Publication was on Wednesday 14 October 2015. Writing about the project here would mix up my work and personal personas, but here’s some links:

  • Main page including links to everything else such as the methodology, summary document, and web app
  • Interactive web tool, built with R, Shiny and ggvis
  • Source code on GitHub. Unfortunately you can’t run this, as it depends on databases only available in the MBIE environment. It’s published to make the methodology more transparent.

The day after MBIE published these, New Zealand Minister for Economic Development the Hon Steven Joyce launched the Regional Economic Activity Report, which includes some slices of the Modelled Territorial Authority GDP plus many, many other datasets at the Regional and Territorial Authority level. It has an interactive web tool that is very fancy indeed, and a mobile app that gives simpler but still powerful access to the same data. This was another big project at my workplace, with the team I used to manage cleaning and tidying data for a database of over 100 data series that was used under the hood for all the products.

To leave a comment for the author, please follow the link and comment on their blog: Peter's stats stuff - R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)