Welcome to our November issue of the Accessibility Minute Newsletter! This newsletter is produced by the CU Boulder Digital Accessibility Office and covers one accessibility skill or topic per month.

The Washington Post today introduced its latest data-centric feature, “How To Read This Chart,” a newsletter that dives into the data behind the week’s news. Each Saturday at 10 a.m. ET, National ...

Images are a powerful way to communicate a message. They can cause joy, inspire people to take action, and teach new concepts. But images can also cause distress, demotivate people, and perpetuate ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

Learn about data visualization's use cases, benefits, challenges, and top tools. See our top data 8 visualization tools, including Tableau, Power BI and Google Looker, learn why we selected each and ...

As more and more people seek avenues into data science as a profession, our Visualization of the Week offers a compelling high-level summary of the data science degree programs around the country.

What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...

Embedding analytics in applications is a smart way to expose insights and decision-making capabilities directly in employee workflow and customer-facing apps. Today, many organizations are developing ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

As the 2016 Super Bowl approaches, many are asking whether 39-year-old Peyton Manning can still win the game. Using Tableau Public, data author Jess Minton provides a useful data visualization that ...

Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.