Module 1F: ASCAP Data (So Now What?)
Here's a question you might be thinking at this point: why did we do all of that?
The obvious answer was to clean a set of messy data. In the state we've left it, we can easily export it to other formats, or even share it with others as a Refine project.
But beyond this exercise of data cleanliness, there's more that we can learn with Refine. For instance, faceting on the split-apart songwriting names can tell us a lot about who Jerry frequently wrote with. Obviously Robert Hunter will be high up there, but who are his other most (and least) frequent collaborators? Faceting can answer that.
Similarly, a numeric facet on the total shares owned by ASCAP can tell us quite a bit. This example numerical facet is only going to show the Garcia songs that ASCAP owns less than a 50 percent stake in:
In summation, there's more to data cleaning and normalization than anal-retentiveness. (Although there's quite a bit of that, too.)
End of Module 1.