Data scientists use visual exploration in various ways. For instance, they may use it to analyze social media data to understand user behavior and trends. They can also use it in healthcare to visualize patient data and identify patterns or anomalies. In finance, visual exploration can be used to analyze market trends and make predictions. In environmental science, it can be used to visualize climate data and model potential future scenarios. These are just a few examples, and the applications are virtually limitless.
You can now save hours of work with our ultimate Charts Collection. This deck includes a variety of...
Download template