Māori Electorate Explorer Tool

iNZight is a free and accessible statistical visualisation software. Founded by Chris Wild of the University of Auckland, development of iNZight is now lead by Tom Elliott of iNZight Analytics.

The software was initially designed for New Zealand high schools, allowing students to quickly and easily explore data and understand basic statistical ideas using the companion program VIT. However, iNZight now extends to multivariable graphics, time series, and generalised linear modelling, including modelling of data from complex surveys.

iNZight is free. That means you can download and use it however you want, for whatever you want. There are absolutely no restrictions. You can download for yourself or redistribute it. You can even modify it if you are so inclined! However, it is important to note that iNZight comes with absolutely no warranty.

Calculating and comparing health or social statistics for populations can be tricky, time consuming and usually requires advanced statistical skills.Mātau is an easy to learn tool that enables rapid calculation and comparison of robust population statistics without additional software or specialist statistical skills. No statistical calculation or coding are required to produce tables, graphs and even maps.

Funded by: iNZight Analytics

It can be used for any outcome statistics in any geographical area or time period using either aggregate data (counts) or unit record file data. Comparisons can be made between population outcomes over time, between regions or by ethnicity, age or sex. Pull down menus and interactive graphics are used to producing statistically robust calculations and comparisons including confidence intervals. Multiple options for analysis can be selected from the menu if required but the default setting on menus is the standard approach allowing Mātau produces results in the form of tables, graphs and maps with all output exportable in multiple formats so they can be easily included in offline reports.

An early version of Mātau was used for estimation of regional ethnic- and age-specific COVID-19 outcomes near the beginning of the pandemic in early 2020, and presented to the New Zealand Government for policymaking. The Mātau app is currently being redeveloped using updated Ministry of Health data.

A quick guide to understanding political polling in New Zealand, this booklet outlines how polls work, aspects of polls that speak to their quality, including sample size, error, and sampling methods, and how polls relate to actual party representation in parliament.

Funded by: iNZight Analytics

Public opinion polling is an important tool for understanding how a population feels about a particular issue, or which political parties they would vote for. But which details about a poll matter, and why?

This guide offers a brief overview of what information to look out for about a poll, and why this information should be transparent. It outlines how polls work, aspects of polls that speak to their quality, including sample size, error, and sampling methods, and how polls relate to actual party representation in parliament. Journalists reporting on a poll should report information on each of these features as they give important information to evaluate the reliability of the poll results.

If you’d like more information about each of these points, and political polling in the New Zealand context, please consult the accompanying detailed guide, accessible here .