Exploratory Data Analysis

The Wolfram Language efficiently implements state-of-the-art data analysis algorithms, allowing you to visualize distributions, search for nearest neighbors, search for peaks, and do cluster analysis.


Histogram, Histogram3D create histograms from data

BinCounts count the number of elements that lie in bins

BinLists  ▪  HistogramList  ▪  Counts  ▪  Union  ▪  Commonest  ▪  Quantile

Cluster Analysis

FindClusters find clusters in numerical, discrete, and string data

ClusterClassify  ▪  Dendrogram

NearestNeighborGraph graph based on nearest-neighbor relationships

MeanShift use mean shift for feature space analysis

Distance Measures »

EuclideanDistance  ▪  ManhattanDistance  ▪  EditDistance  ▪  ...

DistanceMatrix matrix of pairwise distances

FindPeaks find peaks in data

Machine Learning

Classify  ▪  Predict  ▪  DimensionReduce

Symbolic Discovery

FindFormula  ▪  FindDistribution

Cases, Count list, count elements matching a pattern

Split split data into runs