Huge numerical datasets are routine for the Wolfram Language. Its powerful array primitives make large-scale array manipulation both easy to specify and highly efficient. And its integrated collection of state-of-the-art algorithms makes a broad range of sophisticated data analysis immediately accessible. The Wolfram Language's symbolic architecture gives a new level of flexibility in representing results in forms that can be used for further computation.

Basic Operations

Min  ▪  Max  ▪  Total  ▪  Accumulate  ▪  Differences  ▪  Ratios

Take  ▪  Count  ▪  Select  ▪  Sort  ▪  SortBy  ▪  Union  ▪  Tally

Statistics »

Mean  ▪  Variance  ▪  Median  ▪  Quantile  ▪  Expectation  ▪  Covariance  ▪  ...

Curve Fitting & Approximate Functions »

FindFit  ▪  Fit  ▪  Interpolation  ▪  ...

Transforms and Smoothing »

Rescale  ▪  MovingAverage  ▪  ListConvolve  ▪  Fourier  ▪  ...

Exploratory Data Analysis

Histogram  ▪  BinCounts  ▪  FindClusters  ▪  Nearest  ▪  ...

Statistical Modeling »

LinearModelFit  ▪  NonlinearModelFit  ▪  GeneralizedLinearModelFit  ▪  ...

Tabular Layout

Grid  ▪  Column  ▪  Row

Data Visualization »

ListPlot  ▪  ListPlot3D  ▪  ListContourPlot  ▪  ArrayPlot  ▪  ...

Import & Export »

Import  ▪  Export

"Table"  ▪  "CSV"  ▪  "TSV"  ▪  "XLS"  ▪  "HDF"  ▪  "HTML"  ▪  "GIF"  ▪  "WAV"  ▪  ...

Missing Data

Missing  ▪  DeleteMissing