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03/23/2022, 3:37 PMquick-analyst-45015
03/23/2022, 3:39 PMcool-france-3974
03/23/2022, 3:44 PMgorgeous-dinner-4055
03/23/2022, 3:50 PMData is the raw numbers that we capture according to some agreed to standards. Having consistent standards is very important since having data recorded according to different standards can be extremely problematic. For example, there is the age old question of how long is a piece of string? The answer depends on what measurement standard you are using. If we use the Metric system we may come up with some number. That number can vary depending on if we are using meters, centimeters, or millimeters. Using British Imperial/US Customary units will result in an entirely different number. As such, one of the most important steps in any analytics effort is defining standards we are applying. When doing analytics projects, one of our first tasks is to go through the client's current data structure and normalize that data. In other words, we make sure that all the like things are being measured in the same way.
Then a dataset is a collection of data points. The medium may change, and could be all of the above examples you gave Shirshanka.
There are further abstractions we can create from here: collection of datasets can help create information, and a collection of information gets us to insights. But that may start to be off topic πgorgeous-dinner-4055
03/23/2022, 3:51 PMmammoth-bear-12532