Today’s “data in motion” post is a quick population over time visualization. I’ll use U.S. census data over the last one-hundred-ish years. As is the theme in this series, I’ll convert the raw data into a video of the data over time using primarily F#.

Read More

It has been awhile since I posted about Anomaly detection using F# and ML.NET. Since the ML.NET framework continues to evolve, so it is worth a revisit to investigate changes. This also provides a good opportunity to dig deeper into the anomaly detection options that are provided.

Read More

Persisting data can be a subtle art. Today I am taking a look at how F#’s Discriminated Unions can interact with Dapper. I’ve discussed Dapper before, but never really discussed its facilities for interacting with Discriminated Unions. It is a useful bit of knowledge when determining project data structures.

Read More

Today is again a lighter post playing with visualizations. The data focus is on the Standardized Precipitation Index data for the U.S. over that last one-hundred years. Static images and data can be useful, but visualizing data over time can be a welcome addition for analysis. So I’ll be converting data ultimately into a video of the data over time using primarily F#.

Read More

Sometimes an application has a need for a local key/value store. In these scenarios, there are several options, including RocksDB. Today’s exploration will be to dig into using RocksDB with F#.

Read More