Statistical Process Control (SPC) charting has long been recognized as a method for monitoring processes of all types. This webinar will discuss the application of basic SPC to variable data, and ...

Extropy has emerged as a pivotal measure in the quantification of uncertainty, serving as a complementary counterpart to the traditional concept of entropy. Unlike entropy, which is widely used to ...

Positron is Posit's new, free IDE for data science. Users can work with Python and R. It explicitly does not replace RStudio. A central feature of Positron is the Variable & Data Frame Explorer. It ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

The use of Statistical Process Control (SPC) in compliance under GLP offers market opportunities. By utilizing control charts and statistical guidelines like Nelson Rules, laboratories can proactively ...

Platforms like Stats Edge and GRID Insights have made such systems commercially viable, combining player and team data, projection engines, real-time match tracking, and predictive features. GRID ...

The housing market is long been seen as an early warning sign for recessions, and one data point in particular has caught the attention of Moody’s Analytics chief economist Mark Zandi. In social media ...