What the review found: Researchers catalogued 25 visualization methods, including bar charts, scatter plots, and choropleth maps, as effective tools for public health communication. Why it matters: ...

We measured traffic noise in 25 homes across Singapore for a Straits Times interactive story. Here is how the data was collected and how we visualised it, as well as the science behind noise. In March ...

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

Today, I'm going to perform some simple data analysis. The subject for this time is "Taxi Usage Data Analysis". I analyzed the average tip amount by time of day and the relationship between tip amount ...

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

A minimal GUI for a quick view of netCDF files. Aiming to be a drop-in replacement for ncview and panoply. ncvue is a Python script that can be called from within Python or as a command line tool. It ...

This module implements the Patient Rule Induction Method (PRIM) for scenario discovery in Python. This is a standalone version of the PRIM algorithm implemented in the EMA Workbench by Jan Kwakkel, ...