So that others can repeat their work and prove (or disprove) its validity.
to analysis the theory perfectly and give concerned answers
https://socialprachar.com/must-known-data-science-interview-questions-and-answers/?ref=blogtraffic/keerthi
It would depend on what it was used for, an overall view or something more detailed
Performance Report.
the collection of many details or giving careful attention to details
Because answers need to be based on real data in order to be accurate, not based on personal bias.
they'll get wrong or different answers
Scientists assess the validity of their answers through rigorous experimentation, data analysis, and peer review. Consistency with existing knowledge and ability to make accurate predictions are also indicators that a scientist may have the right answer. Moreover, reproducibility of results by other researchers strengthens the confidence in the accuracy of the answers.
Data refinement is the process of transforming a set of abstract data items into a more detailed and concrete representation. It involves refining the initial data specification by adding more specific details or attributes to meet the requirements of a system or application. This helps in creating a more accurate and detailed representation of the data that can be used effectively in software development or data analysis.
After collecting data, a scientist needs to sort and evaluate the data. Depending on the research, there are numerous processes that can be used.
ther are only two different ways that scientist does not collect data
to organize data