Some actual code to explore a simple way to use GraphQL with a Ruby on Rails 5 app
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I came. I saw. I commented.
GraphQL on Rails, part 1/2
A short exploration of using GraphQL to query a Rails 5 API
Read moreWould You Tip You? (Data Science Edition)
Being effective as a data scientist means paying attention to the things that matter. That recipe means using your brain to pay attention, as a human, to what your customer, another human, needs. Just a like a great Waitress.
Read moreAre Your P-values Killing your AB Testing Efforts?
If you’re running AB tests, you’re surely running into concepts like “95% confidence intervals” and the “Null hypothesis”. And you’re already using “p-values”, too, though you may not know it.
Unfortunately there’s a great chance you’re using them wrong, and it’s having an impact on your AB testing program?
Here is a business person’s overview to help you avoid common problems and misunderstandings about p-values.
Read moreThinking Inside The Boxplot
In a previous post describing a simple approach to de-seasonalizing your data, I covered how marketers can examine, at a rough level, the impact of seasonality on metrics. Obviously, your data science team would be looking at this data in
Read moreTis The Seasonality Of Your Metrics
I want to show you a technique to fix another common time-series problem: seasonality. The article will illustrate a fast and simple way to de-seasonalize your data.
Read moreKeep An Infinite Memory for your Metrics
The Exponential Moving Average (“EMA”) is a very useful tool in your metrics arsenal because in the EMA the memory of past metrics values is never forgotten
Read moreSetting Up Your Negative Metrics
This is a continuation of my exploration of negative metrics thread which covers how to think about your negative metrics and how to set them up as part of your testing and optimization process. It’s based on earlier work I’ve published
Read moreThinking About Your Negative Metrics
“Negative” metrics — You might prefer the term “Deoptimization Metrics”. Either way they can be just as important to your continuous optimization efforts as your positive ones. The purpose of a negative metric is to isolate for you the deleterious
Read moreI Before E, Except After C
“I Before E, Except After C” — do you remember that from 4th grade spelling? Well, it works just as well when you’re concentrating on your metrics and optimization program. What do the letters mean? Read this entire article over
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