Statistical computing
Alternative labels
Statistics data processing
R (Programming language)
Conference paper
Quantifying the urban food environment in Perth, Western Australia using multivariate methods and clustering
The urban food environment is a target for policy interventions aimed at improving diet. This study developed a workflow in the R programming language for characterising the urban food environment using standard measures of accessibility to the food environment along with methods adapted from community ecology.
Blog post
Big qual – why we should be thinking big about qualitative data for research, teaching and policy
When social scientists think about big data, they often think in terms of quantitative number crunching. However, the growing availability of ‘big’ qualitative datasets presents new opportunities for qualitative research. In this post, Lynn Jamieson and Sarah Lewthwaite explore how ‘big qual’ can be deployed as a distinct research methodology to develop new forms of...
Report
SDG 4 data digest 2018: data to nurture learning
This edition of the SDG 4 data digest builds on last year’s report, which proposed a conceptual framework and tools to help countries improve the quality of their data and fulfil their reporting requirements. This report presents the wide range of national and cross-national learning assessments currently underway and the assessment experiences of practitioners in...
Report
Data insights in civil justice: NSW Supreme Court
The foundation was engaged by the Department of Justice NSW to investigate the quality and utility of each court and tribunal’s data in informing policy and practice. This report focuses on Supreme Court data.
Report
Data insights in civil justice: NSW Land and Environment Court
Conducted by the Law and Justice Foundation of NSW, this new study is part of the first ever comprehensive investigation of the quality and utility of NSW’s civil court and tribunal administrative data system for informing policy and practice.