Distinguish between data collection and data generation. Discuss the various tools used in
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Data collected os a collection whuc help is to improve our data speed and data generation is use of data
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Difference between data collection and data generation:
- Data collection is a process of gathering data from various sources about a specific topic that is being studied. The sources from which you have collected data should be reliable and data should be genuine to refer for further studies.
- On the other hand, data generation is a process of data formation or data creation from a sampled data source. Always remember that after data generation, data collection takes place.
- There are various data collection tools and the basic tools for collecting data are interviews, focus groups, surveys, and observation.
- Likewise, there are also various data generation tools, but the popular tools for generating data are Random Test Data Generators, Goal-Oriented Test Data Generators, Pathwise Test Data Generators, and Intelligent Test Data Generators.
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