Abstract: This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production, humidity and wind speed data (in a few regions), which will help the farmers improve the ...

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 ...

Blue animals are far rarer than other colorful species, and the reason lies in biology rather than chance. Unlike reds or yellows, blue coloration is difficult to produce using pigments found in ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

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 ...

plotnine is an implementation of a grammar of graphics in Python based on ggplot2. The grammar allows you to compose plots by explicitly mapping variables in a dataframe to the visual characteristics ...