video1.0<iframe src="https://www.loom.com/embed/8ec110a1f7754a11b31f3a751489eff5" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/8ec110a1f7754a11b31f3a751489eff5-86a832e539bdbbe9.gif757.54In this tutorial, I introduced some exciting new functionality in the Data Preparation app as part of the Datapack, specifically focusing on generic curve fitting. I demonstrated how to define a custom formula for fitting curves to datasets, using the Michaelis-Menten kinetic curve as an example. I emphasized the importance of setting parameter bounds to enhance fitting accuracy and speed. I also walked through the interface, showing how to input equations and calculate fits. I encourage you to explore these features and apply them in your data analysis for more insightful results.