Exploratory Data Analysis

Building on Mathematica's powerful language and analysis capabilities, Mathematica 6 adds integrated exploratory data analysis, allowing the latest clustering, binning, smoothing and proximity methods to become a routine part of any computation.

Cluster analysis for numerical, Boolean and string data, in arbitrary dimensions, and with arbitrary distance functions. »
20 built-in general distance and dissimilarity measures. »
Efficient general nearest-neighbor proximity function in any number of dimensions. »
General moving average and other smoothing functions. »
Full integration with Mathematica data sources, data import and visualization.


Conveniently Compute Moving Averages	Immediately Perform Cluster Analysis	Find Strings Nearest in Edit Distance

Find Nearest Neighbors in Any Space

Related Functions

FindClusters

BinCounts

BinLists

Tally

MovingAverage

MovingMedian

More About

Exploratory Data Analysis in Mathematica

Importing & Exporting Data

Partitioning Data into Clusters

Distance and Dissimilarity Measures

Basic Statistics

Data Transforms and Smoothing

New in 6.0: Data Handling & Data Sources