This tool uses AI to help you build slides that actually look professional, automatically. You just add your content, and it figures out the best way to lay it out. It’s all about making design simple ...

Public trust in the media and in data has been undercut by information overload, relentless social media cycles, and targeted influence campaigns. Whether driven by politics, social movements, or ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

Let's be real, building PowerPoint presentations isn't exactly an enjoyable task. Between formatting slides, cutting down text, and finding a flow of slides that makes sense, the process can feel ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

Tsukuba, Japan—Data visualization has emerged as a powerful tool for enabling data-driven decision-making across diverse domains, including business, medicine, and scientific research. However, no ...

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 ...

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, ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...