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I’m a big fan of using a “strata” approach to organizing financial space. A strata is a set of categories (e.g., savings, investments, debt, etc.) that we define. We lay out our categories and then the various categories are laid out in order, so they are all clearly visible. I think this is a much more efficient approach than the traditional “layering” approach.

That said, we do have some pretty strict guidelines around how the categories and how we lay out the categories are laid out. For example, we say that savings categories, debt categories, investments categories, and debt categories have to be laid out in order. The reason for this is because one category may not fit in with another category, and the order of categories can affect how easily we can categorize the data.

If you’re a huge bank, you don’t have to lay out the categories. Instead you’ll just have to look at the data and see that the categories are laid out differently than the other categories.

It seems like it is more common for people to use the same categories when they write the same set of data, especially when it is a small set of categories. When you are creating a report, it is easy to end up with the same categories, even if you dont use them. In the example above, if youre trying to categorize “bank savings” as one type, youll end up with the same categories in your report.

A data set is just that, a list of data points, all of which are organized in a particular way. By using different grouping techniques you can create different types of data sets. For example, one way to create a data set would be to group all your savings into one category, such as a savings account. While this would be a more organized set of data, it would be more difficult to do a data cleaning exercise on it.

I’ve made a few changes to my report, but I’ll always use the latest version of data-set to keep track of my findings.

Another way to organize your data sets is to use strata. A strata is like an Excel spreadsheet, but it’s organized by a set of categories. So for example, in the above example, you could group your savings into “savings accounts.” This is a very simple way to organize your data set. However, it is fairly challenging to clean your data set and make sure all your categories are accurate.

It’s fairly easy to use strata because it is a spreadsheet like any other. In fact, it is so easy that I find myself using it quite often now. Many spreadsheet programs have a “Strata” option that can help you organize your data.

You can also use any of the following tools to help you in a more simple way.

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