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The phrase "as a data point" is correct and usable in written English.
It can be used when referring to a specific piece of information or observation that contributes to a larger analysis or argument.
Example: "In our research, we considered the survey results as a data point to support our hypothesis."
Alternatives: "as a piece of data" or "as an observation".
Exact(50)
"We just treated each individual species as a data point," Dr. Primack said.
After 125 samples the accumulated value is stored as a data point in the fingerprint of that word.
To justify children's natural behavior to parents and teachers, it apparently has to be presented as a data point.
In his paper, Tol included this 7% "unconvinced," non-expert sub-sample as a data point in his argument that the 97% consensus result is unusually high.
We use the result for each community detection algorithm as a data point such that the correlation coefficient is calculated on the basis of six data points.
As a data point, I'm a 67 year old male with FH, my serum cholesterol has been over 600 for the last 6 years and my LDL is currently 517, yet I have zero !! coronary plaque by EBCT.
Similar(10)
"In the interest of evolving the discussion, I am making myself into a data point," as she put it.
Sonar scans done at a safe distance of 10 metres create a rough image known as a data-point cloud.
That the effect of the sequester has been relatively benign so far strikes me as a data-point in favour of relatively inflexible fiscal rules, such as debt-ceilings and balanced-budget amendments, capable of somewhat offsetting the diffuse-cost/concentrated-benefit dynamic that otherwise drives democracies toward imbalance and ruin.
"That the effect of the sequester has been relatively benign so far", he writes, "strikes me as a data-point in favour of relatively inflexible fiscal rules, such as debt-ceilings and balanced-budget amendments, capable of somewhat offsetting the diffuse-cost/concentrated-benefit dynamic that otherwise drives democracies toward imbalance and ruin".
This of course means that we will continue to trade in what I have been referring to as a data-point-driven market.
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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