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The data points are not so wondrous.
While January indicators hint at a gradual stabilization and recovery, White says that consumer-related data points aren't the only key factors in judging a recovery.
Once these key data points were laid out, his decision became easy.
The data are not presented.
Data points are presented as mean values ± SD for n = 6 and expressed as absolute values.
If the key is not present, set the key value to the default (null, 0, blank).
If the key is not present, set the key value to the default (i.e. [value]).
The data for this measurement point are not explicitly presented in the abstract or paper.
cwPush is called when the key for the recpient process is not present (a), cwPush is called when the key for the recipient process is already present (b), the timeout for a key has been reached (c), cwPush is called when the key for the recipient process is present and the data length amounts to qthresh (d).
If the key is not present, force it to [value2].
I tend to keep all contextual data in shades of grey to ensure that data points are visible, and do not distract from the key insights.
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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