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The phrase "there is not sufficient data" is correct and usable in written English.
You can use it when you want to express that there is not enough information available to make a certain decision or draw a conclusion. For example, "After going over the numbers, it appears that there is not sufficient data to make a definitive conclusion about the project's success."
Exact(14)
There is not sufficient data generated yet to answer this question.
The strongest association between empowerment and distribution is found with regard to the levels of teachers' qualifications, although there is not sufficient data to explain the reasons for this.
But it says there is not "sufficient data to determine the actual effect. . . on plan participants and beneficiaries, including for costs they may incur for contraceptive coverage, nor of unintended pregnancies that may occur". The controversy first arose after the Obama administration decided birth control was part of the preventive care that insurers must cover under the ACA.
If there is not sufficient data, an app developer can use Applause to look at reviews and make comparisons to other similar apps.
At present there is not sufficient data for the recommendation of either allo- or xeno-genetic mitochondria as no immune or auto-immune data is available.
"Apparently, there is not sufficient data for any institutions to know how much they have," said Charles McMillon, the president and chief economist at MBG Information Services, an economic analysis group in Washington, D.C. "The percentage of interest-only loans as a share of all loans has really exploded, but we don't know what the concentrations are in each institution.
Similar(46)
Since few electrics are really on the road, it seems there isn't sufficient data to go with one over the other.
For example, only by executing step (iii) might it become clear there isn't sufficient data for the prediction objective established in step (ii), in which case it must be revisited and modified.
Indeed, very often it isn't that a person is a so-called 'bad actor,' it's more the case that there isn't sufficient data to prove that they are eligible for credit.
Because the statistics were supplied by food safety authorities in individual nations, which sampled different numbers of beef products, there was not sufficient data to make comprehensive comparisons.
Bottom line, there's not sufficient data to suggest a double-dip is around the corner.
More suggestions(1)
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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