R

Your transition into using and developing R tools

Your transition into using and developing R tools

A new building block of our observatories went through code peer review and was released yesterday. The statcodelists R package aim to promote the reuse and exchange of statistical information and related metadata with making the internationally standardized SDMX code lists available for the R user.

A new version of the retroharmonize R package – which is working with retrospective, ex post harmonization of survey data – was released yesterday after peer-review on CRAN. It allows us to compare opinion polling data from the Arab Barometer with the Eurobarometer and Afrorbarometer. This is the first version that is released in the rOpenGov community, a community of R package developers on open government data analytics and related topics.

If open data is the new gold, why even those who release fail to reuse it? We created an open collaboration of data curators and open-source developers to dig into novel open data sources and/or increase the usability of existing ones. We transform reproducible research software into research- as-service.

There are numerous advantages of switching from a national level of the analysis to a sub-national level comes with a huge price in data processing, validation and imputation, and the regions package aims to help this process.

Although there are a variety of open data sources available (and the numbers continue to increase), the availability of open algorithmic tools to interpret and communicate open data efficiently is lagging behind. One of the greatest challenges for open data in 2021 is to demonstrate how we can maximize the potential of open data by designing smart tools for open data analytics.

Our ex post survey harmonization package retroharmonize passed all automated tests and peer-reviews and was released today on CRAN.

We would like to validate our open source, open data, open collaboration based reproducible observatory concept with the Demo Music Observatory. All feedback is welcome.

The making of an automated and reproducible data tool for the music industry. A short video and a brief explanation.