These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

In most, if not all, studies we collect data to obtain information about an area of research in which we have an interest. For example, we might want to know the level of dental caries in our area. In ...

I've written about numerical calculations before, but perhaps they weren't too inspiring. What are numerical calculations? Here is my own definition. Numerical Calculations (numerical methods, ...

Microsoft Excel is spreadsheet data management software used by many small businesses for day-to-day operational tasks. Excel's convenient cell-based structure lets you input your business' inventory, ...

The recently developed multiscale kernel of R. Opfer [Adv. Comput. Math., 25 (2006), pp. 357- 380] is applied to approximate numerical derivatives. The proposed method is truly mesh-free and can ...

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 ...