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To reach any definitive conclusions, however, it would be helpful to have more granular data.
Sadly, the US Census Bureau is terminating its Statistical Compendia programme, so America may never get more granular data.
As more and more granular data is released about tiny geographies, by making it personal, we can bring it to life.
They can also miss the big picture in their pursuit of ever more granular data.
The detailed knowledge being gathered about influenza is already impressive but any prediction of transmission events will require even more granular data.
Tracking more granular data around listens was simply not possible.
More granular data would allow us to do this.
23andMe, however, was not able to detect more granular data in Ireland.
The more granular data is particularly helpful when analyzing the impact of voluntary offerings.
With more granular data comes better, more accurate prediction and matching.
In the future, product designers may want to build more granular data access permissions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com