Discover how to replace traditional Excel chart objects with clean, customizable in-cell visualizations using a single ...

Excel's People Graph add-in turns simple tables into clean, icon-based visuals that automatically update when your data ...

Google has upgraded NotebookLM with a new reasoning engine, expanded file output options, and a more flexible research workflow, giving the AI notebook tool a broader set of capabilities for handling ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...

This repository contains step-by-step walkthroughs and R code to reproduce all data collection, processing, analyses and visualisation carried out by the authors. Below is a description of all ...

Visualising data can help students and staff in higher education get useful insights into otherwise opaque data sets – affecting decision-making, improving understanding when teaching and effectively ...

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot. Built-in reactivity is one of ...

Background: Massive amounts of omics data are produced and usually require sophisticated visualization analysis. These analyses often require programming skills, which are difficult for experimental ...

free, open source, available for download and used in the production of, or provides access to, official statistics. We prefer software that is easy to install and use and actively maintained.

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...