May 2023
Intermediate to advanced
168 pages
4h 18m
English
Content preview from Practical A/B TestingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Creating Insights About Your Data
The first rule of using data to demonstrate the effect of changes in an A/B test is never to assume your data is always correct. To trust your test results and the experiment configuration, you’ll need to trust that your data is accurate. How do you do this in practice? Simple. Create mechanisms to monitor the state and overall quality.
To start, you could manually check the data, but you know that it isn’t scalable. The ideal solution would be a programmatic method that’s better than human eyeballs scanning petabytes of data. There are several ways to build programmatic validation:
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Implementing null checks in fields that ultimately should have non-null values.
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Computing the general distribution of event counts. ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.