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 ...

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 ...

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 ...

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 ...

Abstract: Understanding regional and seasonal patterns in electricity consumption is essential for ensuring grid reliability, resiliency, and sustainable infrastructure management. With the rapid ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...