Graph Visualization Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure ...

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 ...

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 ...

The best data visualization tools should be easy to use (or come with a comprehensive tutorial), handle large amounts of data points, and be able to convert different data subsets into multiple ...

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.

Instead of telling people about a story, data, or information, show them. Here are tips to make your data visualization more engaging and effective.

Choose the graph that fits your data: When you’re coming up with a data visualization, there are many different types of graphs you can select. You need to find the one that fits your data and the ...

The two graphs below show the exact same data, but use different scales for the y-axis: On the left, we’ve constrained the y-axis to range from 3.140% to 3.154%. Doing so makes it look like ...

Thanks to their visual simplicity, bar graphs are popular tools for representing data. But do we really understand how to read them? New research from Wellesley College published in the Journal of ...

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.