Sentence examples for data to draw on from inspiring English sources
Right now, I don't have much data to draw on in answering that question: On the one hand there's a professor who loves his work; on the other there's his wife and her colleagues who, to hear him tell it, hate their jobs and spend most of their time laying people off.
Their "FOI machine" gives them access to unique data to draw on for their customers.
"In the past we didn't have this kind of data to draw on," Ms. Camp said.
That too is important data to draw on as Congress continues its efforts to undo last year's "prophylactic" net neutrality" regulations (which have only just been published six months after the Commission approved them).
132, 133 However, there is only limited experience and a small amount of data to draw on, and further research is needed before this treatment can generally be recommended.
This provides a bigger universe of asset data to draw on – which allows machine learning and predictive analytics technologies to detect even more patterns for greater insight.
"As long as Wordsmith has a data source to draw on, it could integrate post-game quotes," Allen told me.
Surgeons have no guidelines for how much pain medication to dispense to patients when they leave the hospital, and there is no data or research to draw on for direction, Bicket said.
Even a one-off event like the Olympics has plenty of data on pedestrian movement to draw on, from past games to other set-piece gatherings such as, say, city-centre carnivals, which enable some basic assumptions about how people will flow.Once potential points of congestion are identified, more sophisticated models can then be used to go down to a finer level of detail.
The service has labeled 124 species overfished, but the report focused on 44 for which there were enough data to draw conclusions on their rebuilding progress.
Similarly, the reduction in antenatal parasitaemia is consistent with the overall effect from trials of any chemoprevention (RR 0.38, 95% 0.24 to 0.59; four trials, 2832 participants, Analysis 2.5, high quality evidence), but there is insufficient data to draw conclusions on clinical malaria (RR 0.24, 95% CI 0.05 to 1.12; one trial, 174 participants, very low quality evidence (Analysis 2.6).
