A team of four graduate students in the School of Information Sciences won first place in the Data Visualization Competition sponsored by University Library’s Scholarly Commons. Though the team ...

Rebeca Pop’s MSIT class helps students learn how to turn raw numbers into compelling visuals that reveal the stories the data is trying to tell. Rebeca Pop’s mission is to help her students become ...

The t-SNE ("t-distributed Stochastic Neighbor Embedding") technique is a method for visualizing high-dimensional data. The basic t-SNE technique is very specific: It converts data with three or more ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

Forbes contributors publish independent expert analyses and insights. I write about digital marketing, data and privacy concerns. Any great story means visualization and detail. It takes the small ...

In the early days of the Covid-19 pandemic, the Centers for Disease Control and Prevention produced a simple chart to illustrate how measures like mask wearing and social distancing could “flatten the ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

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 ...

Time may seem scarcer than ever, but fortunately technological advancements have presented auditors with many tools to improve the effectiveness and efficiency of audits. One such tool is data ...

In 2010, there were a total of 131 confirmed, full-time business analytics university degree programs, including 47 undergraduate-level programs. When I wrote an article on this topic in 2017, 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.