The phrase "and explained the data" is correct and usable in written English.
You can use it when describing an action where someone clarifies or interprets data for better understanding.
Example: "The researcher presented the findings and explained the data to the audience, ensuring everyone grasped the key points."
Alternatives: "and clarified the data" or "and interpreted the data."
ZJ, SC designed this study, ZJ, SC, TZ and YM analyzed and explained the data, ZJ gave the first draft of the paper and ZJ, JZ and DC wrote final paper, LB, WX, XH and WZ contribute the data collection, all authors read the paper and contribute the work.
To get scale from data interpretation, we have to embrace the power of the machine to extract and explain the data that it and it alone is in a unique position to analyze and then communicate.
The remainder of the paper is organized as follows: in Section 2, the authors describe the research tools and research methods and explain the data sources and structure.
The resistance variables in this first stage are distance splines, which is a much more flexible specification than its competitors (e.g. linear, logarithmic, quadratic) and explains the data clearly better than using continuous distance.
Disagreements and differences in describing, synthesizing, and explaining the data were resolved by continuous discussions.
During analysis, codes were developed and refined, and themes were extracted to identify and explain the data's core meanings.
Qualitative analysis aims to suggest categories that order and explain the data, thereby 'constructing a theoretical language grounded in instances of data' [ 22]:[89].
The current funding level is inadequate to ensure the frequency of visits and intensity of support and interaction required, especially during the start-up phase, until communities can correctly collect, record, and explain the data.
This involved themes being linked, grouped, moved, re-labelled, added and removed to produce a set of themes which adequately fit and thoroughly explained the data.
Among existing models, the strain gradient plasticity model provided the real physical reason for the genesis of ISE in ZTA and hence, explained the data the best.
From the results, second order polynomial model was developed and it adequately explained the data variation and significantly represented the actual relationship between independent variables and the response.
