At Mode, we put a lot of emphasis on writing good, clean SQL. As a collaborative team, it’s important that our queries can be easily read and understood by our teammates.

As COVID-19 caused many people to start working from home, we observed an interesting trend: a steep decline in the rate of web traffic to our site from people using the Internet Explorer web browser.

Here’s how we launched a volatility-driven customer health score model in days, not weeks.

Have a lot of analysis to get through? Here’s a quick list of handy shortcuts for Mode power users.

"As data scientists, our work sways elections; our models move markets; our recommendations launch and dismantle businesses. In positions of such influence, we haven’t the time to waste on petty distractions of little import. Which is why I believe it’s critical to step back...and take on a far more consequential matter: Should SQL queries use trailing or leading commas?"

Our data doesn’t always look nice and clean. Mode's Data Scientist, Nate Coleman, shows us how visualizing distributions can tell us if our data is skewed or not—and how logarithmic scales can clarify it for us when it is.