Summary statistics in F#

Summary statistics are commonly used to build a simple quantitative description of a set of observations. Simple descriptions include mean, variance, skewness and kurtosis, which are quantitative measures of location, spread and shape of the data distribution. However, straightforward implementations...

Data Sources in F#

There are three popular data formats CSV (Comma Separated Values), JSON (JavaScript Object Notation) and XML (Extensible Markup Language), which are very frequently used in data science. F# Data library (FSharp.Data) implements almost everything you need to access data stored...

F# for Data Science

How functional programming and type inference can help you to manage of large amounts of structured and unstructured data, merge multiple data sources and API, create visualizations for data interpretation, build mathematical models based on data, and present the data...