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Changing a set of scores that were in the form of number correct into a set of scores that now represent percent, is an example of data transformation.
The process of changing the format, structure, or values of data is known as data transformation. Data can be modified at two points in the data pipeline for initiatives including data analytics. Data transformation serves as the middle phase in an ETL (extract, transform, load) process, which is commonly used by businesses with on-premises data warehouses.
The benefits of data transformation are:
•Data that has been transformed might be simpler to use for both people and machines.
•The compatibility of applications, systems, and data formats is made possible by data transformation. It could be necessary to modify data differently if it is utilized for different reasons.
Learn more about data transformation here:
brainly.com/question/17996015
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Answer:
True
Explanation:
Its True becuase the few strong and knowledgeable citizens can help the young kids be able to grow up just like them.
The quantity demanded rises and this is how falling prices affect supply. The correct option among all the options that are given in the question is the third option. People will try to buy more of the product as the product is available at a much cheaper rate. This way the demand of the product in the market will rise.