In case you missed my recent official FsLab announcement, FsLab is a data-science package for .NET built around F# that makes it easy to get data using type providers, analyze them interactively (with great R integration) and visualize the results. You can find more on on fslab.org, which also has links to some videos and download page with templates and other instructions.
Last time, I mentioned that we are working on integrating FsLab with the XPlot charting library. XPlot is a wonderful F# library built by Taha Hachana that wraps two powerful HTML5 visualization libraries - Google Charts and plot.ly.
I thought I'd see what interesting visualizations I can built with XPlot, so I opened the World Bank type provider to get some data about the world and Euro area, to make the blog post relevant to what is happening in the world today.
Thursday, 14 May 2015, 3:46 PM
What is the definition of type? Having a clear and precise answer to this question would avoid many misunderstandings but it would hurt science, 'hamper the growth of knowledge' and 'deflect the course of investigation into narrow channels of things already understood'.
Tuesday, 5 May 2015, 3:55 PM
After over a year of working on FsLab and talking about it at conferences, it is finally time for an official announcement. So, today, I'm excited to announce FsLab a cross-platform package for doing data science with .NET and Mono.
Wednesday, 22 April 2015, 4:55 PM
I was recently working on some code for handling data ranges and I wrote initial version in C#. Later, I realized that I needed an F# version, so I went through the process of rewriting a simple function from C# to F#. This blog post compares the two versions.
Tuesday, 7 April 2015, 1:41 PM
F# 3.0 provides full support for writing LINQ-style queries and the syntax can be used with SQL databases and many other standard data sources. But you can also write your own querying computation. This blog post shows a minimal example that shows how to parse F# queries and translate them to other querying language (like SQL).