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Data Wrangling
David Wright edited this page Apr 30, 2018
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Meta.Numerics data wrangling APIs are in the Meta.Numerics.Data namespace. Our basic approach should be familiar to users of data frames in R and Python. Like those systems, our framework is based on column-oriented data stores and supports reading and writing data to and from a variety of different formats. Unlike those systems, our framework is compatible with .NET static typing, uses read-only views to minimize data copying, and supports nulls using the BCL's Nullable structure.
To learn how to use our data wrangling system, read the following tutorial topics:
- Project
- What's New
- Installation
- Versioning
- Tutorials
- Functions
- Compute a Special Function
- Bessel Functions
- Solvers
- Evaluate An Integral
- Find a Maximum or Minimum
- Solve an Equation
- Integrate a Differential Equation
- Data Wrangling
- Statistics
- Analyze a Sample
- Compare Two Samples
- Simple Linear Regression
- Association
- ANOVA
- Contingency Tables
- Multiple Regression
- Logistic Regression
- Cluster and Component Analysis
- Time Series Analysis
- Fit a Sample to a Distribution
- Distributions
- Special Objects
- Linear Algebra
- Polynomials
- Permutations
- Partitions
- Uncertain Values
- Extended Precision
- Functions