Recently, I was asked to determine the extent to which seasonality influenced a particular time series. No problem, right? The statsmodels Python package has a seasonal_decompose function that seemed pretty handy; and there's always Google! As it turns out, this was a bit trickier than I expected. In this post I’ll share some of the … Continue reading Investigating Seasonality in a Time Series: A Mystery in Three Parts
Category: Data Science
Reflections From Spark + AI Summit 2018
Here are our favorite talks from Spark + AI Summit 2018
… Continue readingThis Week We’re Reading the 2018 Stack Overflow Survey
Demet Dagdelen shares her thoughts on the results of the 2018 Stack Overflow Developer Survey.
… Continue readingEngineering Data Science at Automattic
Yanir Seroussi shares a few of the best practices our data scientists use in their work for Automattic.
… Continue readingAnalysis of A Beautiful Storm: Internal Communication at Automattic
What does internal communication look like at Automattic? Demet Dagdelen shares her analysis.
… Continue readingTo a Poem is a Bott the Stranger
Can a bot write its own original poetry? Carly collaborated with some WordPress poets to conduct an experiment in the name of science.
… Continue readingDo New Year’s Resolutions Work? Data Suggests They Do!
Do blogs started as New Year's resolutions have staying power? Boris investigates.
… Continue reading