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Our data contains 3329 distinct applications (from the Google Play store) but despite this, on average, a user makes use of only 8 unique applications in a week.
However, our data contains both simple (routine) questions about lifestyle behaviour (like 'do you smoke?') and extensive advice about lifestyle behaviour.
As a result our data contains a wedge-shaped region in Fourier space for which no data has been measured (missing wedge effects), similar to experimental measurements.
As our data contains replicate groups, we applied segmented crossvalidation in which entire replicate groups were excluded instead of one sample at a time, to avoid including data from the same replicate group in both the test- and training sets.
However, as discussed by Green et al. [ 32] and Siepel and Haussler [ 13], three of the nine studied genes are located on the opposite strand from the other six so our data contains a mixture of bases that correspond to the transcribed and non-transcribed strands.
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We conclude that our data contain very little drop-out bias.
Our data contain the gross annual wages of 1995, 1996, 1997 and 2002.
Our data contain current earnings and the disability degree for all working individuals.
In the case of Argentina, however, our data contained only one area (the metropolitan area of the city of Buenos Aires).
Our data contain spam traffic collected at various points around the globe, which gives us multiple vantage points over the network.
Our data contain information on mother's and father's years of education, which we use as instruments for a respondent's own years of education.
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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