Managing the challenges of visual discovery when dealing with big data involves a balance between testing hypotheses and mining for patterns, trends, and anomalies. The former requires a focused approach, while the latter requires flexibility. As the data becomes larger and more complex, and the less you know going in, the more open-ended the work becomes. It's important to have a clear strategy and use appropriate data visualization tools to handle the complexity.
You can now save hours of work with our ultimate Charts Collection. This deck includes a variety of...
Download template