.NET Standard 2.0
dotnet add package LG.Microsoft.Data.Analysis --version
NuGet\Install-Package LG.Microsoft.Data.Analysis -Version
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="LG.Microsoft.Data.Analysis" Version="" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add LG.Microsoft.Data.Analysis --version
#r "nuget: LG.Microsoft.Data.Analysis,"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install LG.Microsoft.Data.Analysis as a Cake Addin
#addin nuget:?package=LG.Microsoft.Data.Analysis&version=

// Install LG.Microsoft.Data.Analysis as a Cake Tool
#tool nuget:?package=LG.Microsoft.Data.Analysis&version=

This package contains easy-to-use and high-performance libraries for data analysis and transformation.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated 248 9/1/2021 179 8/25/2021 206 8/24/2021 203 8/15/2021
0.18.0 201 7/21/2021
0.17.6-rc.1 121 6/16/2021

Initial preview of robust and extensible types and algorithms for manipulating structured data that supports aggregations, statistical funtions, sorting, grouping, joins, merges, handling missing values and more.