NEW GUIDEMarketing metrics for data teamsDownload here


How to Demystify Skewed Data and Deliver Analysis

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.

Read more

Editor’s picks in Analysis

Types of Product Usage Segmentation

October 18, 2021 8 minute read

Reassessing Customer Health Scores in a Fluctuating Market

October 18, 2021 4 minute read

(At Least) 5 Ways Data Analysis Improves Product Development

October 18, 2021 3 minute read

How Mode and Deliver Fast Queries on Amazon Redshift

September 17, 2019 4 minute read

Lars Kamp is the Co-Founder & Chief Data Engineer at where he helps customers optimize Amazon Redshift and their analytics queries for peak performance. We’ve invited to share a guest piece detailing the new data stack.

Image of author

Lars Kamp

Co-founder & Chief Data Engineer

Chess Fans Booed This Year's World Championship, but Computers Cheered

November 28, 2018 4 minute read

The World Chess Championship 2018, a match between reigning champion Magnus Carlsen and challenger Fabiano Caruana, just came to a conclusion in London. Since all twelve classical games were drawn, the players entered a tiebreak round, where Carlsen was crowned world champion. This is the first time all classical games have been drawn, and many chess fans expressed disappointment in what seemed to be a “dull” or “bloodless” series of games.

Image of author

Joel Carron

Data Scientist at Mode

How to Make Your Product Freemium

October 25, 2018 8 minute read

In case you missed it, we launched a free product earlier this year, Mode Studio.

Free products aren't common in the world of analytics. Even less common, we launched ours after already having built a strong business around a paid product. Quite often in the last six months, we've been asked why we did it.

Image of author

Benn Stancil

President & Co-founder

JOINs in SQL, Python, and R

September 12, 2018 7 minute read

The internet is awash in Venn diagrams of SQL JOINs and explanations of why they're necessary. Though it would be nice if we could answer every data question with a single table, more often than not, to get a complete picture, we need to combine different data sets.

Image of author

Sadavath Sharma

Data Scientist

Get our weekly data newsletter

Work-related distractions for every data enthusiast.