A simple CRUD application from scratch and implementing its functionality in Object-oriented Programming Paradigm with Python.
Estimates of location are summary statistics that provide information about the central tendency or typical value of a dataset. These statistics help you understand where the data tends to cluster or concentrate.
Estimates of variability measures whether the data values are tightly clustered or spread out.
Each of estimates sums up the data in a single number to describe the location or variability of the data. It is also useful to explore how the data is distributed overall.
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