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.

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 ...

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.

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.

The two graphs below show the exact same data, but use different scales for the y-axis: On the left, we’ve constrained the y-axis to range from 3.140% to 3.154%. Doing so makes it look like ...

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 ...