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The phrase "analyze the same data" is correct and usable in written English.
You can use it when discussing the examination or interpretation of identical sets of data in research or analysis contexts.
Example: "In our study, we decided to analyze the same data to ensure consistency in our findings."
Alternatives: "examine the identical data" or "review the same dataset".
Exact(14)
(right) If we analyze the same data by looking at citations of individual articles rather than news sources, the divide is even more stark.
Though Florida has its own state laboratory that is certified to analyze the same data, Amy Graham, a spokeswoman for the Department of Environmental Protection there, said the state was sending samples to B & B "in an effort to ensure consistency and quality assurance".
This is very different from using a generic machine learning algorithm to analyze the same data, he says.
The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods.
Muller says his team's experiment is a little different from a traditional replication study, since they used new tools to analyze the same data.
If airlines had been able to capture and analyze the same data, then they would have been able to tailor their product offerings to each customer's needs more personally.
Similar(46)
Later, a Princeton economist, Alan B. Krueger, analyzed the same data and concluded that not even black children who transferred to private schools had shown significantly improved achievement.
You highlight the similar training that both Summers and Hubbard received and the fact that they are often analyzing the same data.
– Glenn Collins The New York Times: Scientists in England analyzed the same data used by the Stanford team for the recent, much-discussed organic food study and came to very different conclusions.
[García (2006]) analyzed the same data and includes additional details.
The new system's accuracy fell short of beating the top new computer programs that analyzed the same data sets for the annual competition.
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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