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Media organizations often apply lenses to the data specific to their audience, but fail to explain why the data they are using are important, or what filters they might have applied to get to their final data subset.
This enables you to dig deeply into it and filter data to give you very specific views, something that could prove very useful for instance in an eDiscovery situation when you were asked to identify all the individuals who looked a set of files or you were trying to track a data leak and you wanted to know who touched the file most recently.
Users can filter data on specific storage cells in multiple dimensions (rows, columns, data versions) in HBase, significantly improving the efficiency of retrieving data from the table.
For example, if you received over 500 visitors and 400 of those visitors were referred from a specific website, you can filter data to only show the activity of those referred visitors.
We applied an alternative method of adjustment to calculate OCM, discussed previously, using blank filter values specific to the year and type of sampler (Frank NH, unpublished data).
This particular filter is specific to the CTX domain.
Filters specific to the domain are the only expected changes.
Filter a text file on time and energy, printing the filtered data to the screen.
Filter panels are used to filter data.
Open the spreadsheet in which you want to filter data.
We filtered microarray data using specific CNAs to detect differentially expressed candidate genes associated with survival.
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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