Sometimes, our data sources might not be suitable for joining for multiple reasons. For example, they might be on different levels of aggregation, resulting in duplicates upon joining, or you might wish to use data source types that don't support cross-database joins, such as Google Analytics. But, we also want to make visualizations that contain fields from different data sources. That's when data blending comes in handy—it allows us to make a connection between data sources when joining isn't appropriate or possible.
Data blending
Getting ready
Follow the steps from the previous recipe, Adding a secondary data source, to connect to the Internet_satisfaction.csv and Internet_usage.csv data sources.
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