The App Builder Blog

A look through the use of shared, inherited, and isolated scopes when working with directives in AngularJS.

Drawing conclusion based on small samples is obviously problematic. At the same time, I also wonder whether the rise to prominence of "Big Data" can lead organisations to blindly collect as much data as possible rather than think logically about how much data is actually necessary to perform whatever analysis tasks are required.

These days, it seems like everyone is talking about AngularJS and ASP.NET MVC. So in this post, we will learn how to combine the best of both worlds and use the goodness of AngularJS in ASP.NET MVC by demonstrating how to use AngularJS in an ASP.NET MVC application.

Bar charts have a distinct advantage over chart forms that require area or angle judgements. That's because the simple perceptual tasks we require for decoding a bar chart - judging lengths and/or position along a scale - are tasks we're good at. But we also decode dot plots through judging position along a scale. Is there a reason to choose one over the other?

I've previously explained that it is essential that the bars of bar charts start at 0. The reasoning is simple: we use relative lengths of bars to compare values, so starting a bar somewhere else leads to false judgements. But what about line charts?

In my AngularJS classes, I often get asked, “How do I share data between the controllers in AngularJS?” On the Internet, there are many solutions suggested.

WinForms has long been a popular way to develop form and GUI based applications, generally for Windows based devices. Part of the .NET framework, and originally seen as a replacement for Microsoft Foundation Class Library (MFC), WinForms applications are ‘event driven’. That is they sit and wait for a user to interact with them, before springing into action and reacting to this input.

I wanted to see if I could adapt my blog post about how to localize Enum descriptions in WPF to accommodate the xamPropertyGrid, but take it a little further by also localizing the DisplayName and Category as well. 

Scatter plots are a wonderful way of showing (apparent) relationships in bivariate data. Patterns and clusters that you wouldn't see in a huge block of data in a table can become instantly visible on a page or screen.