Microsoft.Data.Analysis 0.18.0

.NET Standard 2.0
There is a newer version of this package available.
See the version list below for details.
dotnet add package Microsoft.Data.Analysis --version 0.18.0
NuGet\Install-Package Microsoft.Data.Analysis -Version 0.18.0
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="Microsoft.Data.Analysis" Version="0.18.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.Data.Analysis --version 0.18.0
#r "nuget: Microsoft.Data.Analysis, 0.18.0"
#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 Microsoft.Data.Analysis as a Cake Addin
#addin nuget:?package=Microsoft.Data.Analysis&version=0.18.0

// Install Microsoft.Data.Analysis as a Cake Tool
#tool nuget:?package=Microsoft.Data.Analysis&version=0.18.0

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 (17)

Showing the top 5 NuGet packages that depend on Microsoft.Data.Analysis:

Package Downloads
Microsoft.Spark The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

.NET for Apache Spark

FenixAlliance.ACL.Dependencies

Application Component for the Alliance Business Suite.

EikonDataAPI

Eikon Data API (64bit) for .NET - .NET 4.5, 4.5.1, 4.5.2, 4.6, 4.6.1 - .NET Standard 2.0, .NET Core 2.1, .NET Core 3.1. NET 5.0 The Eikon Data APIs provide simple access to users who require programmatic access to Refinitiv data on the desktop. These APIs are intended for Eikon users. The APIs are based on web-native technologies to simplify integration into almost any desktop environment. These APIs can be used with traditional programming languages like Java or .Net as well as scripting languages like Javascript. A dedicated Python extension is also supplied to provide easy integration with this language. The APIs provide access to the following content sets: News; Price time series; Symbology conversion; Fundamental and reference data. https://developers.refinitiv.com/en/api-catalog/eikon/eikon-data-api

Shioaji

Package Description

OilGas.Data

Package Description

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on Microsoft.Data.Analysis:

Repository Stars
dotnet/interactive
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
dotnet/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
swharden/Csharp-Data-Visualization
Resources for visualizing data using C# and the .NET platform
Version Downloads Last updated
0.20.1-preview.22573.9 33 11/24/2022
0.20.0 1,284 11/8/2022
0.20.0-preview.22551.1 86 11/1/2022
0.20.0-preview.22313.1 953 6/14/2022
0.19.1 210,975 3/9/2022
0.19.0 42,073 11/9/2021
0.19.0-preview.final 270 10/22/2021
0.18.0 65,707 7/15/2021
0.4.0 427,814 5/20/2020
0.3.0 19,479 3/24/2020
0.2.0 11,261 12/12/2019
0.1.0 19,202 11/11/2019

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.