"confusing data" is a correct and usable phrase in written English.
You can use it to describe data that is difficult to interpret or analyze due to its complexity or inconsistency. For example, "The results of our experiment seemed to be based on confusing data that was hard to make sense of."
Ryan has a bad habit of confusing data with evidence or argument, and his pretentions to wonkiness – mainly, he uses a lot of numbers and jargon – have protected his status as the GOP Ideas Guy.
Yet almost every manager I know complains about convoluted decision-making, endless budget planning cycles, confusing data, unnecessary reporting, unproductive meetings and a host of other excesses of complexity.
These companies are finding a key missing link between big data and big understanding, and if they don't find a way to resolve this, they will be left with a big pile of confusing data with few insights.
While they conclude that increasing sE-selectin predicts macroalbuminuria, they present confusing data with respect to sVCAM-1.
As chief executive of the American Cancer Society of New York and New Jersey and a recent prostate cancer survivor, I was very interested in "On Sex After Prostate Surgery, Confusing Data" (Well, Jan . 15.
Conclusion: Americans are confused on Obamacare There are lots of confused and confusing data here, and it's difficult to say anything definitive about how Americans feel about the healthcare law signed by President Obama in 2010.
The nearly monthlong delay in acknowledging the extent of these emissions is a fresh example of confused data and analysis from the Japanese, and put the authorities on the defensive about whether they have delayed or blocked the release of information to avoid alarming the public.
PCA is a sophisticated technique in applied data analysis work and has a satisfactory ability to simply multivariate variation and confused data set, and only the important or main characteristics of the original data were retained.
We also focused on using one statistical approach, as performing multiple tests can generate discordant results that confuse data interpretation (Ioannidis and Trikalinos, 2007).
Of all the hazard categories identified in a government report that examined health IT hazards, software design and usability issues (eg, difficult information access, difficult data entry, confusing information displays, excessive demands on memory, confusing feedback to user) were mentioned the most (52%and49%9%, respectively).
Big data should not be confused with data reuse: data can be big without being reused for another purpose, for example, in omics.
