Scientific Data Analysis
The Wolfram Language has unparalleled scientific data analysis capabilities, building on its strong base of algorithms, ability to represent and manipulate models symbolically, and integrated representation of real-world quantities and entities.
Import — import data in hundreds of standard formats from files, web, etc.
SemanticImport — import data and convert to semantic WDF
DeviceReadTimeSeries — read a data time series from a connected device
ServiceExecute — read data from an API
Quantity — a quantity with units
Around — a number or quantity with uncertainty
Entity — canonical entity representation (species, chemical, etc.)
Dataset — general representation of multidimensional and/or hierarchical data
GeoGraphics — visualize geographic data with detailed base maps
FindFormula — attempt to find a simple symbolic formula for data
FormulaData — access many standard scientific relations and formulas