Reproducible Analytical Pipelines
...but are particularly useful for code in text files for example R or Python code. Whilst git can be used locally on a single machine, or many networked machines, git...
...but are particularly useful for code in text files for example R or Python code. Whilst git can be used locally on a single machine, or many networked machines, git...
...take place. Tax-Free Childcare is a new Government service, offering support to working parents with their childcare costs. The purpose of the service is to either help parents back into...
...NLP is used to interpret unstructured text data, such as free-text notes or survey feedback. It can help us look for similarities and uncover patterns in what people have written,...
...surprising: 53% of the time, manual coders disagreed about how a survey should be coded. We can see this in the chart below, which shows how often volunteer coders applied...
...is a free library for fast and accurate record linkage, which is now in its third version. It has the following key features: Faster and more accurate than other free...
MeasureCamp is a free, informal ‘unconference’ for digital analysts, held on a Saturday in London twice a year. Its objective is ‘the transfer of knowledge’, and everyone is encouraged to...
...free tools that I use to convert postcode data into useful maps. My example shows sample data of football stadiums in Great Britain. Mapping Sheets This Google Sheets add-on allows...
...source code to be made publicly available. Rather than making a judgement on what source code will be useful and reusable, the default approach should be to publish (sensitive information...
...how assisted digital users will be tested outside of the premium service and how support will be free at the point of use for the user except support from family...
...and decision-making more transparent. Why use open source code for data analysis? To summarise many other articles on the benefits of using open source code for data analysis: Analyses and...