Data Visualization

Matthew Sharpe

Predicting the past: how big was the internet?

Ordinarily, data scientists spend a lot of time trying to predict the future. Time‑series prediction, recommendations, even next‑token‑prediction…they’ve all broadly got the same flavor. Recently, however, I came across a problem with a distinctly different taste, and I’d like to share it with you today: predicting the past. Surely predicting the past is pretty easy, right?…
Daniel Danilov

Hack Project: Creating a tool to translate customer feedback into product insights

Explore Automattic’s hack project in our latest post, where we developed a tool for analyzing Tumblr user feedback. Learn about our challenges with AI, creating insightful dashboards, and the impactful outcomes. Our collaborative effort not only enhanced product development but also earned us the top spot in our Hack Week Awards!
Joakim Navarro

Synchronizing Data with Apache Superset: Our Internal Solution

At Automattic, our deep appreciation for open source software is evident through our active contributions, with a primary focus on WordPress. Recently, we integrated Apache Superset, to help support our intricate data visualization needs. One notable achievement includes the automation of dataset creation, a solution that not only resolved an issue but also enhanced our…
Jason Moon

The New Face of Jetpack Stats

Jetpack Stats is one of Automattic’s most popular offerings, providing analytics for over 14 million users. Read and find out what we’ve done to modernize Jetpack Stats this year!
Boris Gorelik

Missed Opportunities for Using Text in Data Visualization

Richard Brath talks to Automattic data visualization enthusiasts about the power of text in conveying the results of data science.