The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques.
Visualizing data is a task no longer strictly resigned for data journalists — it has become an indispensable skill for all reporters. Graphs and charts have been especially critical in coverage of the ...
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Fact or Fiction: Common Downfalls of Data Visualizations
Visuals can tell a story and explain complex ideas, but they must be used effectively. Learn the five biggest downfalls of ...
Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...
Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...
At the core of digital transformation lies data democratization, the practice of making data accessible throughout all departments of a business, not simply the C-suite and IT team. Datasets are ...
Earlier this week, Google introduced a new tool, dubbed Fusion Tables, intended to bring the kind of cloud collaboration features to database sets that users now enjoy with Google Docs. It also adds ...
The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...
Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.
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