Data visualization tools —like Tableau or Google Charts—allow users to import small or large amounts of data and automatically transform the raw data into beautifully designed visuals or graphics.

Basically, data visualization is communicating data and insights, in part or whole, using charts, color, text, ergonomics and other related aspects. While a well-crafted data visualization can ...

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, ...

In this beginner guide to Google Looker Studio, you'll learn how to easily create, collaborate on and share interactive charts and reports. Looker Studio helps you transform data into an image. As ...

Much of today's visualization software is intuitive and easy to use; however, to obtain the most actionable insights, you and your team must exercise careful and considerate planning. Moreover, you ...

For example, when an Excel spreadsheet generates a chart from the data within a worksheet, the chart will automatically update whenever the data itself is edited.

Pie charts also do badly when there are lots of categories. For example, this chart from a study on data sources used for COVID data visualisation shows hundreds of categories in one pie.

Microsoft Excel has more dataviz capabilities than you may realize. Find out how to make your data stand out with charts, PivotTables, sparklines, slicers and more. Everyone knows Microsoft Excel ...

Here is an example from Hubspot, of two images representing the same data, however one is a list of numbers and the other is an example of data visualization in a bar chart.

Data Visuaulization with the Vega-Lite library (not Observable’s Plot) from the University of Washington Interactive Data Lab (if you’d like to try another visualization library with Observable).