This week, Boris Gorelik shares his thoughts on a NYU study of "The Persuasive Power of Data Visualization."
Boris Gorelik shows how we use data at Automattic to visualize social connections between Automatticians.
In this week in data reading, Demet offers up some digital anthropology over at FiveThirtyEight while Charles shares two papers he enjoyed in the field of natural language processing, and Carly offers a piece on back propagation.
Talking with friends last week, many of us sheepishly admitted that we have already "broken" our 2017 resolutions. According to a popularly cited study by Norcross in 2002, only 64% of 150 participants who had made resolutions were able to stick with them beyond a month. A recent Marist poll lists some popular choices for … Continue reading How’s Your New Year’s Resolution Going?
This week, Boris and Charles bring you two new resources for data reading and pose some questions for discussion on how you approach scientific literature, and you detect and deal with bias inherent in your applications. Looking forward to your comments!
As a data scientist, I spend a lot of time analyzing how our users interact with WordPress.com. However, WordPress.com isn’t the only place to gain insight into how people use and talk about our services. Many WordPress.org and WordPress.com discussions take place on social media. Analyzing these discussions can help us understand what our users are … Continue reading A Brand Image Analysis of WordPress and Automattic on Twitter
The goal of data visualization is to transform numbers into insights. However, default data visualization output often disappoints. Sometimes, the graph shows irrelevant data or misses important aspects; sometimes, the graph lacks context; sometimes, it’s difficult to read. Often, data practitioners “feel” that something isn’t right with the graph, but cannot pinpoint the problem. In … Continue reading Evolution of a Plot: Better Data Visualization, One Step at a Time