Tutorial: Automatically Analyzing Data to Create a Performance Map

How to Automatically Generate Regressions in Python

Python scripts can automatically create and check the quality of regressions on your data sets — No effort needed!

It’s very common that scientists find themselves with large data sets. Sometimes it comes in the form of gigabytes worth of data in a single file. Other times it’s hundreds of files, each containing a small amount of data. Either way, it’s hard to manage. Hard to make sense of. Hard for your computer to process. You need a way to simplify the process, to make the data set more manageable, and to help you keep track of everything.

That’s what this tutorial is all about. We’re in the process of writing Python scripts that will automatically analyze all of the data for you and store the data with meaningful, intuitive file names. All while using an example taken from actual research, so you know that the skills you’re developing are practical and useful.

The first post in this tutorial introduced the concepts of the tutorial. If the terms “heat pump water heater”, “coefficient of performance (COP)”, and “performance map” don’t mean anything to you, you might want to read it.