James Dunkerley's Blog

In the last post, we looked at taking daily valuations and transactions for a hypothetical investment account and computing daily returns and an index series.

In this post, I’ll demonstrate how to use Enso to analyse the performance of a hypothetical investment account.

One of Enso’s strengths is its ability to easily gather and process data from various sources, particularly web-based APIs.

It’s been a little while since I last posted, as the team and I at Enso have been hard at work on the new version of the app.

So it’s that time of the year again – it’s even snowing here in London as I write this.

In this post, I will use the results from my last post to review how each category has performed against the sales targets the company has set.

In this post, I will build on top of my last post and go over how to parse values in the dataset, select down to just the columns we are interested in, and finally aggregate the data.

In this post, I will use Enso to read and process a CSV file.

Enso is a functional programming language that lets you quickly and simply load, blend, and analyze your data.

Some members of the team building Enso decided to try and tackle last year’s Advent of Code using the language and see how far we could get.