Sentence examples for analyze up from inspiring English sources
The phrase "analyze up" is not correct and does not convey a clear meaning in written English
It is unclear when to use it, as it does not fit standard English usage or idiomatic expressions. Example: "We need to analyze up the data" does not make sense in context.
In the optimized condition, the FIA system proved able to analyze up to 60 samples/h.
It had the ability to calculate and analyze up to 200 million scenarios per second — a skill that could be applied to complex calculations as diverse as modeling the stock market and ranking the potential of small molecules for new drugs.
Those interested in seeing what sentiment analysis can say about customers can use Semantria's trial to analyze up to 20,000 documents, tweets, or survey responses for free.
Kinetica and MapD use in-memory storage, so while they can analyze up to about 5 terabytes of data extremely quickly, their scalability is limited.
Those interested in seeing what sentiment analysis can say about customers can use Semantria's trial to analyze up to 20,000 documents, tweets, or survey responses for free.
Data science uses algorithms to collect and analyze up to thousands, millions, or billions of rows of columns, automatically discovering new relationships in data.
Thus, it is crucial to analyze up-to-date traffic traces collected by passive measurements in many relevant network contexts.
On a weekly basis, Sastry's students will analyze up-to-the-minute data collected in Haiti over the next one to four months.
Have each group find and analyze up-to-date data about their chosen indicator and other related indicators, including the personal indicators produced by the class in the warm-up activity.
The Redlands approach recognizes the power of location intelligence to analyze up-to-the-minute data in hundreds of layers of information and then plot relationships between that data and locations in easily accessible electronic maps.
New ERP cloud apps automate and standardize journal entries with direct integration between core finance applications, the general ledger, and other cloud-based and on-premises source systems enabling finance personnel to easily create and share performance dashboards and analyze up-to-the-minute status on the company's cash flow, balance sheet, and income statement.
