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The phrase "this much data" is correct and usable in written English.
You can use this phrase when you want to talk about a specific amount of data in a certain context. For example, "We need to analyze this much data to get an accurate assessment of the situation."
Exact(31)
How can we have this much data and still not understand collective human behavior?
Keeping this much data about every person on the planet would require about as much digital storage as was available in the whole world in 2010.
This much data couldn't simply be copied to IRI from the S2S archiving center at ECMWF, or from the SubX forecasting centers.
"Now you will start to see the kinds of results that we had expected with this much data". He and his collaborators found that test runs with well-known transcription factors verified the factors' association with the expression of particular genes, but also identified new, previously unsuspected alliances between binding sites and genes separated on the DNA by up to 1 million nucleotides.
So I think the best way you know, it's really one way you can look at it, you have enough data, and the data are clean enough and free of blemishes, you can do the statistics and say, boy, there's no way I would expect a trend this significant with this much data.
When you have this much data to sort through but only 17 elections since 1944 to test them upon, some indicators will perform superficially better based on chance alone, the statistical equivalent of the lucky monkey from a group of millions who banged out a few Shakespearean phrases on his typewriter.
Similar(29)
When you see "100 MB for (fill in the blank for the carrier's charge)," be mindful that this isn't much data.
This allows collecting as much data as possible for the use by Disaster Management Centers.
How much data this involves largely depends on a company's business model.
"There is so much data on this that it's unbelievable," he said.
If Google senses a flu epidemic somewhere, it's hard to challenge its hunch – we simply lack the infrastructure to process so much data at this scale.
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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