Guided Exploration

Guided exploration provides a data scientist with insights into data at hand. Any dataset can be used. The data are automatically cleaned by removing columns with constant values and by identifying the correct data types of the columns. The relationships between and within columns are calculated and shown by charts in an interactive composite view, nwhere columns can also be flagged. By default the flagged columns are excluded from the dataset. If any other action for the flagged columns is preferred, a new action can be defined by replacing the Reference Column Filter node.

External resources

• Guided Visualization and Exploration - KNIME Blog
• KNIME Spring Summit 2019: Visualizing with Guided Analytics: for End Users and Experts
• Principles of Guided Analytics