Encoding categorical data for Power BI: Using label encoded data vs one-hot encoded data in Power BI
Understand why label encoding is the preferred technique for encoding categorical data for analysis in Power BI over one-hot encoding.
Understand why label encoding is the preferred technique for encoding categorical data for analysis in Power BI over one-hot encoding.
This post explains how covariance and contravariance in C# interfaces works
One-hot encoding and label encoding are two methods used to encode categorical data. Understand the specific advantages and disadvantages of t...
Explore integrating icons, pictograms and images into Power BI in the optimal way to enhance the user experience and minimise effort required ...
Once you've thoroughly tested your code against the local Spark service in your dev container, you'll want to run it in a real Spark cluster. ...
Having seen earlier in the series how to configure a dev container to run Spark locally, this post shows how to write tests that use that loca...
See how to configure a dev container to run Spark locally, to improve development feedback loops.
In this video, we provide a brief introduction to Streamlit, an open-source Python library designed for quickly creating data visualizations w...
Running Spark locally in a dev container can significantly improve development feedback loops. This first article explains why, and the rest o...
C# 12.0 provides a new, simpler syntax for initializing expressions. It typically generates the most efficient code possible, although as you'...