The pressure is on for data teams to deliver business insights at scale. Is self-service analytics the answer?

Get a basic primer on product metrics and the value they can generate across a company.

A modern data stack helps data teams, and the rest of their company, stay competitive and data-driven. Learn why it’s the best choice for data teams in the short term and long term.

Cohort analysis is the process of breaking up users into cohorts and examining their behavior and trends over time.

We are excited to highlight Hassan Kibirige, creator of Plotnine, to learn more about his data journey and how he ended up creating the python visualization library.

We are excited to start this series by highlighting Dr. Angela Baltes—a Data Scientist, Informaticist, and Senior Research Analyst.

How to perform an anti join using LEFT JOIN and WHERE. Plus three examples of using anti joins in business scenarios.

Learning SQL is easy when you know Excel. Learn how to make the transition in this guided example & seriously speed up your workflow.

Physical and psychological safety for all of our employees is a non-negotiable for us. Here’s what we’re doing about the overturn of Roe v. Wade.

Having an inclusive culture and diverse team is important to us at Mode. Here are our latest diversity numbers.

Starting with Visual Explorer, we’re going to walk through ways you can use Mode to explore reports.

With these new releases, you can now see Grand Totals, sort even more granularly, and adjust column widths for better presentation views.

Having an inclusive culture and diverse team is important to us at Mode. Here are our latest diversity numbers.

Discover how Visual Explorer can make your team work more efficiently.

Today, we welcome Gaurav Rewari as Mode’s new CEO.

Get a tour of Visual Explorer and see how it makes data exploration easier.

With Visual Explorer, analysts can customize their visualizations to help stakeholders better understand their data.

A violin plot is a hybrid of a box plot & a kernel density plot, which shows peaks in the data. Learn the various types & discover tools to create your own.

For new R coders, CRAN’s repository may seem overwhelming. Here’s an overview of 9 useful interdisciplinary R data visualization packages to get you started.

This list is an overview of 10 interdisciplinary Python data visualization libraries including matplotlib, Seaborn, Plotly, Bokeh, pygal, geoplotlib, & more.

We're featuring 12 of our favorite ggplot2 extensions, to help you add more power and polish to your ggplots—or just to make them easier to create.

Usage data is like gold for software development teams. Software companies are constantly analyzing user behavior to create valuable insight for decision-making and feature development. But the data generated by users isn't only valuable to the company whose products are being used; it can be valuable to the users themselves.

Now, before going back to the analyst to ask your next big game-changing question, you can answer more of the simple stuff on your own—right in the Mode report they've shared with you. Here's how it works.

Analysts and product teams now work together to build White-Label Embeds that solve all sorts of data delivery use cases. Most commonly, they use Mode to power in-app User Stats pages. We've used it for this exact purpose in our product, too.

The applications of color theory in business are vast. One of the most useful applications of color theory is the visualization and presentation of data.

Colors are key to understanding data visualizations. They represent your data and guide people through charts and dashboards, making them easier to digest. Colors also represent your brand, providing a recognizable look and feel to everything your company produces.