WolframTabular Data ProcessingA Core Part of
Wolfram Language

Analyze, Visualize & Model Structured Data.

Understand data in rows and columns to communicate actionable insights. An essential part of the full data science workflow with integrated machine learning and statistical analysis.

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Flexible Data Computation

Reduce friction in data science workflows with the easy import of columnar data structures, efficient representation of complex data types and powerful analysis capabilities.

High-Performance Data Access

Access big data stored in relational databases or cloud storage systems such as Amazon S3 or Azure blobs. Tabular functions work seamlessly with out-of-core data.

Guide to Tabular Data Sources

Efficient File Import

Import columnar storage formats such as Parquet and ORC. Automatically detect headings and understand the structure of CSV and other formats. Get data directly as built-in computable entities from the Wolfram Knowledgebase.

Guide to Tabular Data Sources

Data Cleaning

Apply statistical methods and machine learning to impute missing values and detect anomalies. Consistently manage missing and outlier data for reproducible analysis with automated column transformation and data wrangling tools.

Guide to Tabular Data Cleaning

Structured Data Visualization

See summaries, clusters, correlations and patterns and share results to gain insights, answer questions and make decisions. A rich palette of data visualization functions works seamlessly with tabular data.

Transforming Columnar Data

Reshape, reorder, aggregate and otherwise transform rows and columns with optimized functions that scale up to big data. Refine data to make insights and understanding obvious.

Guide to Tabular Transformation

Modeling Tabular Data

Model tabular data using standard statistics, distribution characterization, regressions and other machine learning methods for prediction, classification and answering questions.

Guide to Tabular Modeling

Wolfram Tabular Data Processing Documentation

Wolfram Tabular Data Processing is an integrated part of Wolfram Language. The full system contains over 6,000 built-in functions covering all areas of computation—all carefully integrated so they work perfectly together.

Wolfram Language
Full Scope & Documentation

Tabular & Spreadsheet Formats

Tabular ▪ ToTabular ▪ FromTabular ▪ ColumnKeys ▪ ColumnTypes ▪ DataConnectionObject ▪ Import ▪ TransformMissing ▪ TransformAnomalies ▪ RenameColumns ▪ CastColumns ▪ PivotToColumns ▪ TransformColumns ▪ AggregateRows ▪ PivotTable ▪ ConstructColumns ▪ ColumnwiseThread ▪ ListPlot ▪ Histogram ▪ BarChart ▪ SmoothHistogram ▪ Mean ▪ LinearModelFit ▪ Predict ▪ Classify ▪ FindClusters ▪ FindDistribution ▪ CloudPublish ▪ NotebookTemplate ▪ Export ▪ GenerateDocument ▪ Manipulate ▪ ColumnwiseValue ▪ Elementwise ▪ SortBy ▪ ReverseSortBy ▪ NumericalSort ▪ AlphabeticSort ▪ Total ▪ Count ▪ Median ▪ Max ▪ StandardDeviation ▪ IncludeGroupAggregates ▪ TabularStructure ▪ Select ▪ TakeLargestBy ▪ TabularQ ▪ TabularColumn ▪ TabularColumnQ ▪ TabularRow ▪ TabularRowQ ▪ TabularSchema ▪ Part ▪ Take ▪ Drop ▪ TakeDrop ▪ Key ▪ ExtendedKey ▪ ColumnKeyExistsQ ▪ KeyDrop ▪ KeyTake ▪ RowKey ▪ Discard ▪ DeleteDuplicates ▪ DeleteDuplicatesBy ▪ TakeSmallestBy ▪ MaximalBy ▪ MinimalBy ▪