Introduction to Mass Data Analysis

In this video, I introduce the idea of mass data analysis.

We spent the past 6 modules diving into the inner workings of individual solutions. While it's obviously beneficial to study at the micro-level, it can be difficult to extrapolate findings sometimes into a more holistic strategy.

When building overall strategies, studying boards one-at-a-time is an incredibly inefficient way to study. With 22.100 unique flops, 49 unique turns, and 48 unique rivers, there are almost 52 million 5-card boards that can come out. And that doesn't even begin to incorporate the complexity of adding different formations, stack sizes, player types, and other variables.

That's where mass data analysis comes into play. Instead of looking at one solution at a time, we aggregate the solutions of multiple scenarios together to better model the entire game tree.

While studying at the aggregate level does limit your ability to dive into nuanced situations, such as the strategic actions we might take with individual combinations, it can be incredibly valuable to the development of more holistic strategies that can be implemented broadly.

In order to do this, we have to take the data out of solvers and use data analysis software. I'll plan to conduct examples throughout this module in Microsoft Excel. You can follow along if you like in that or in Google Sheets. I highly recommend you use one of those tools and follow along with the example in the videos.

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