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August 16, 2023
2m 3s

Getting Started with MOSTLY AI - Data Settings Basics and Editing Multiple Columns


In this video, we're going to cover the basics of generating synthetic data, adjusting the data settings, and editing multiple columns.

MOSTLY AI's synthetic data platform allows you to flexibly edit the data you are using for training the generator. We'll cover the basics of setting up your data, and then we'll audit how to generate synthetic data, adjust the data settings, and edit multiple columns. By the end of this video, you'll have a basic understanding of how to edit columns in MOSTLY AI and be able to start using it for your data analysis needs!

Get started for free here ➡️ https://bit.ly/43IGYSv


[00:00:00] Hello, everyone. In this video, we'll talk about the Data settings and how we can actually edit multiple columns. When you have provided a table to the platform, what you see here in the Data settings if you select the table here is basically all the columns of that data set of that table.

[00:00:23] Pretty straightforward, you see the name of the variable as it is defined in the uploaded data set. You can include or exclude a certain variable. If you exclude it, this variable will not be part of the synthetic data that you can generate. We'll go into the generation method and some of the details in a different video.

[00:00:48] What I wanted to show now is actually how you edit multiple columns because this is a relatively short data set with maybe 15 or so columns, but what happens if you have a data set with, let's say 250 columns? Then you can go here into the Edit multiple columns section to edit the columns.

[00:01:08] What you can do is here, you can select all columns and then you can, for example, say, "Oh, I want to exclude all columns," which probably doesn't make a lot of sense except you don't otherwise add some columns again. What you can also do is you can search for certain columns. You can search, let's say for gender and then you can specifically change some of the settings here for the gender variable.

[00:01:34] That's handy if it's a large data set with lots of columns and you want to specifically go into some columns. Here, now we excluded all. Let's return to the column list. Now, nothing would be generated for us here, so it doesn't make a lot of sense. We can then, of course, now say, "Okay, yes, let's include those two variables."

[00:01:56] So much for the overview here in Data settings and editing columns.

[00:02:00] Thanks for watching.

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