By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Abstract: The visualization and analysis of street and pedestrian networks are important to various domain experts, including urban planners, climate researchers, and health experts. This has led to ...

The bregr package provides a streamlined, modular workflow for batch regression modeling. The process begins with installation and initialization, followed by core modeling steps such as setting ...

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 ...

In this lesson, we will be looking at data visualization using pandas and Matplotlib - modules that we have already seen and used. Pandas uses Matplotlib under the hood for data visualization, and ...

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 ...

In today’s data-driven world, showcasing the right data analytics tools and skills on your data analyst resume can set you apart from the competition. Whether you’re an aspiring data analyst or a ...

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 ...

Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...