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Numerical Data—Wolfram Language Documentation

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• Functions
  • Accumulate
  • ArrayPlot
  • BinCounts
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  • Manipulating Numerical Data
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• Related Workflow Guides
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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.

Min  ▪  Max  ▪  Total  ▪  Accumulate  ▪  Differences  ▪  Ratios

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

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

FindFit  ▪  Fit  ▪  Interpolation  ▪  ...

Rescale  ▪  MovingAverage  ▪  ListConvolve  ▪  Fourier  ▪  ...

Histogram  ▪  BinCounts  ▪  FindClusters  ▪  Nearest  ▪  ...

LinearModelFit  ▪  NonlinearModelFit  ▪  GeneralizedLinearModelFit  ▪  ...

Grid  ▪  Column  ▪  Row

ListPlot  ▪  ListPlot3D  ▪  ListContourPlot  ▪  ArrayPlot  ▪  ...

Import  ▪  Export

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

Missing  ▪  DeleteMissing

▪
• Manipulating Numerical Data
▪
• Numerical Functions
▪
• Approximate Functions and Interpolation
▪
• Convolutions and Correlations
▪
• Partitioning Data into Clusters
▪
• Statistical Model Analysis

▪
• Importing and Analyzing Data

▪
• Numbers with Uncertainty
▪
• Discrete & Integer Data
▪
• Matrix Operations
▪
• Statistical Data Analysis
▪
• Layout & Tables
▪
• Fourier Analysis
▪
• Wavelet Analysis

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