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.

If the data variable type is ranked, a bar chart can be used. If the data type is numeric, box-and-whisker plots and line charts are good options to visualize those numeric variables. 3. Less is ...

In my visualization post, What Makes a Good Data Visualization I mentioned two aspects of data to consider. You want a graph that conveys ideas from the data that are too complex to explain ...

Data visualization – like the underlying data itself – comes in many shapes and forms, but you’re probably already familiar with some of the most commonly used types of visualizations, even ...

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, ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas ...

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be ...

Data visualization takes your data (numbers) and places it in a visual context, such as a chart, graph, or map. It also helps create data stories that communicate insights with clarity.

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.

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot.