Blog Data Visualization

Discover the business significance of data visualization, its use cases with data processing, and real-life examples of its implementation.

Horizontal bar charts are useful when comparing data categories with long names or labels. They work well when you have a large number of data categories, as they can display a significant amount of text without overcrowding the chart or...

Comparing values between groups of data is fundamental, and bar charts are an essential visualization for this purpose. Use this guide to learn how to optimize this chart type!

When you create a chart, you analyze the data and choose the format that presents complex information most effectively. When used appropriately, the principles outlined in this article can elevate your chart from average to impactful.

The selection of colors in data visualization is not just a matter of aesthetics but a vital tool for conveying quantitative information.

We continue our blog article series about data visualization, sharing our knowledge on everything you need to know to distinguish between good and bad charts.

We live in a data-driven world, and the ability to create effective charts and graphs is just as important as good writing.

Let’s explore different biotech data visualization tools and see how they stack up to customizable data visualization services.