The phrase "in-depth data analysis" is correct and usable in written English.
It is typically used to refer to the detailed examination of large amounts of data to uncover meaningful patterns, trends, or associations. For example, "We conducted an in-depth data analysis of customer reviews to identify which products were most popular."
In-depth data analysis and technical expertise has been deployed to ensure that innovative advertising solutions are a key part of the site, including new formats that maximise the responsive and flexible nature of the new theguardian.com.
Quist explains that while he and his co-founder were engineers at Google, they were able to access a number of internal, extremely in-depth data analysis tools.
In-depth data analysis revealed that all the positive hits can be classified into two major categories: the H3K9me2/3-containing H3K9me2/3-containingontanding clusthes.
In the end the successful structure solution required an in-depth data analysis and a very detailed molecular replacement search.
The three-week country mission included several workshops with key stakeholders, in-depth data analysis, and debriefings in Port-au-Prince.
An initial coding framework was collaboratively developed by workshop participants and refined by the first author (KL) during in-depth data analysis following the workshop.
Reading the Riots saw a collaboration between the Guardian and the London School of Economics and included hundreds of interviews with those involved, as well as in depth data analysis of statistics and Twitter messages.
Using the processed data we then performed in depth data analysis with the Genespring software (Agilent Technologies).
These initial impressions prompted more in depth data analysis of the context and possible explanations for participants expressing a sense of being overwhelmed.
Rich click stream data provides ample opportunity for in-depth data mining and analysis, such as students' video viewing pattern, time spent on solving problems, or the order in which students access different contents in the course.
The strengths of this study, which include its interdisciplinary and participatory approach, and in-depth data collection and analysis methods, will be explored.
