When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

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 ...

qmplot is a handy, user-friendly tool and Python library that allows for quick and flexible of publication-ready manhattan and Q-Q plots directly from PLINK association results files or any data frame ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Python, a versatile and powerful programming language, offers a range of libraries specifically designed for data visualization. These libraries provide tools to create everything from simple charts ...

Abstract: State-of-the-art open graph visualization tools like Gephi, KeyLines, and Cytoscape are not suitable for studying street networks with thousands of roads since they do not support ...

Python is immensely popular among developers and data scientists due to its simplicity, versatility, and robustness, making it one of the most used programming languages in 2023. With around 147,000 ...

Reduced-dimension or spatial in situ scatter plots are widely employed in bioinformatics papers analyzing single-cell data to present phenomena or cell-conditions of interest in cell groups. When ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...