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 ...

Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

As explained in this Edraw article, every data visual has one of the five key objectives—distribution, composition, relationship, trend and comparison. • Distribution: The visuals show how ...

Transforming your impact data into sharp, strategic charts is easier than you might think. These simple visualization ...

Master the art of impactful data visualization with these 10 tips to transform raw numbers into compelling visual stories. ... or designs that confuse rather than clarify. The good news?

Variety of visualization tools, with charts, graphs, pivot tables and more for data presentation (Figure G). Figure G: A simple chart of work hours visualization in Excel Web. Image: Collins Agesa ...

Note that the content below is based on Microsoft Excel 365 for Pcs. Other versions of Excel may work differently. All the charts and underlying data are available in this Excel file. As you probably ...

If you’ve done any sort of work with data visualization, you’ve likely come across Minitab.Minitab is tailor-made for Lean Six Sigma, readily integrating with DMAIC cycles and other practices.

Augmented reality, agile tools, and other immersive technology, are transforming the way that growers engage with data.

Handling small data samples Background: Sometimes communicators omit data from a visualization because the sample sizes are very small. The National Congress of American Indians says American Indian ...

Virtualitics’ 3D-centric data visualization platform. “Traditional data exploration tools have limited capabilities in identifying and visualizing the complexity of today’s data,” he said.