Data visualization has grown more complex as the number of data points brought into the mix has increased. In the past, data visualizations appeared as ready-made graphs in the solution of choice.

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.

To experience the breadth of Excel’s data visualization offerings, let’s take a tour of some of the most useful charts, starting with the basic ones and moving to the more advanced. To follow along, ...

Junk data can be anomalies or outliers in the data set that don’t represent a trend or sustained pattern over time. For example, the year 2020 was an anomaly, and “trends” observed during it ...

Meanwhile, the full guidelines walk you through several specific examples of good data visualization, illustrated with charts built by the Google data viz team itself (in this way, it is similar ...

The data didn’t support it, and wasn’t even uncertain enough to allow it to be drawn with digital tools, but Trump knew if he could just change the visualization, that was all that mattered.

That graph wasn’t Nightingale’s only attempt at data visualization: She made a series of other charts to help convince the general public, medical staff and lawmakers that sanitation saves lives.

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 ...