The application’s logic presumed that
Posted: Sun Feb 09, 2025 4:12 am
What next?
Our data platform InFuse was originally developed with data from England and Wales and loading additional rich data from Scotland and Northern Ireland exposed some limitations of the application. data was available across all the countries, but from Table 3 shown above this is no longer the case, so when using america rcs data InFuse it seemed that you could get the data from across the UK, which then resulted in blank cells for some of the geographic areas selected. To address this issue we have created a version of InFuse where users can define the geography areas that they’re interested in and then the wizard will filter the topics or categories available based on that selection.
We have also started extending our engagement with existing and future users of our data and resources to help us inform future developments of our UK census data interface. Before participants moved onto formulating group projects, a concluding talk summarised the UK Data Service data processing pipeline. Over the course of the remaining two days, the groups worked on projects focused on accessing structured data from the web, then importing, querying and linking them for exploratory data analysis, modelling, and mapping. The group projects were very interesting and explored unfamiliar open source data sources and software packages. We ended the course by awarding a prize to ‘Team Synergy’, a group of demographic and health data managers and economists, who undertook a comprehensive spatial analysis of mortality in South Africa using Zeppelin, Hive, and SparkR.
Our data platform InFuse was originally developed with data from England and Wales and loading additional rich data from Scotland and Northern Ireland exposed some limitations of the application. data was available across all the countries, but from Table 3 shown above this is no longer the case, so when using america rcs data InFuse it seemed that you could get the data from across the UK, which then resulted in blank cells for some of the geographic areas selected. To address this issue we have created a version of InFuse where users can define the geography areas that they’re interested in and then the wizard will filter the topics or categories available based on that selection.
We have also started extending our engagement with existing and future users of our data and resources to help us inform future developments of our UK census data interface. Before participants moved onto formulating group projects, a concluding talk summarised the UK Data Service data processing pipeline. Over the course of the remaining two days, the groups worked on projects focused on accessing structured data from the web, then importing, querying and linking them for exploratory data analysis, modelling, and mapping. The group projects were very interesting and explored unfamiliar open source data sources and software packages. We ended the course by awarding a prize to ‘Team Synergy’, a group of demographic and health data managers and economists, who undertook a comprehensive spatial analysis of mortality in South Africa using Zeppelin, Hive, and SparkR.