Abstract: Given a massive dataset, data visualization (DV) could efficiently express the insights and summaries behind the massive raw data by employing vivid visual representations. To create ...

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 ...

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...

Deborah Caldeira is a strategic HR leader with 30+ years of expertise transforming workplace challenges into opportunities. She is known for coaching executives and teams through complex situations ...

The world of data visualization can leave you to choose between expensive software or difficult-to-learn software. lessR simplifies the process of obtaining professional-quality data visualizations at ...

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, ...

This workshop is designed for students and research teams who want to turn cleaned data into clear, publication-ready graphics. Participants learn the core ideas behind the “grammar of graphics” and ...

R has become a popular and powerful platform for working with geospatial data due to its well-developed ecosystem of packages to import, process, analyze and visualize spatial data, strong integration ...

Prerequisite: Introduction to R for Absolute Beginners or some experience using R. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...