Power BI visuals help to communicate important information in data, translating tables of individual numbers into interconnected and meaningful graphics. Conditional Formatting offers users the ability to apply colors to elements that are related to key values to aid in communication. Users can experiment with applying a range of different colors to their visuals by applying a Gradient, Rule, or Field Value format to numerical data.
Data in Power BI can be thought of as "Read Only", meaning that it is not possible to make changes to the values in your data once it is imported. This can cause some confusion regarding unit conversion and other simple calculations among new users, but Power BI provides an easy to use solution: Custom Columns.
The latest version of LunchBox includes a “Sort Adjacent Brep Faces” component which can be used to quickly create customized analysis diagrams. The component works with 2D and 3D Brep geometry, opening up potential use cases to include 3D manufacturing or assembly diagrams.
Labeling spaces can be a tedious process, but Machine Learning tools have the potential to give designers reprieve from manually typing in each space name. Classifier algorithms are able to reference training data and group lists of new elements into classes based on their characteristics and similarities to the data on which it was trained.
