While Tukey (1915-2000) is correct in an important respect—one should not overvalue data per se—he was never exposed to today’s Interactive Visualization, a term coined by Gartner.

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.

For example, in R programming, you can easily create a shiny app, a simple web application that allows data, program results, and graphs to appear in a shared digital environment.

Employ data manipulation libraries like pandas in Python or dplyr in R to preprocess and clean large datasets before visualization. Consider using data streaming techniques for real-time data ...

This is where clinical trial data visualization solutions with interactive dashboards and built-in analytics come into play, revolutionizing the way researchers and stakeholders manage and ...

The graph shows three distinct groups of data items as expected. This article assumes you have intermediate or better programming skill but doesn't assume you know anything about t-SNE data ...

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data.

Varpe’s desktop web application includes additional parameters and graphs. Her visualization uses data from a mathematical model based on the spread of COVID-19 in New York City, throughout spring ...