Working with non-numerical data can be tough, even for experienced data scientists. A typical machine learning model expects its features to be numbers, not words, emails, website pages, lists, graphs ...

Gathering and entering numbers on a computer is one of the most laborious aspects of data management. Ten-key data entry expedites this process, focusing only on the number keys, 0 through 9, which ...

Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

As sharing of research data becomes more important, we are facilitating this by integrating the Figshare repository into our submission system. Two publications have called for the redefinition of ...

Sparklines in Microsoft Excel are charts—tiny little charts that display inline with the data because they fit into a cell, usually adjacent to the data they’re evaluating. With a quick glance, not ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Whether you work for a small mom-and-pop operation or belong to a giant, multinational firm, spreadsheets are likely to be an invaluable tool for your business. All companies manage various sorts of ...

Behavioural studies have revealed that the processing and representation of numerical magnitude are qualitatively similar across species and across human development. Reliable effects such as the ...