A data mart is a data repository that gathers data and similar items from certain users or workers. Its characteristics include being focused on one subject like finances or sales, only gathering data from a couple sources like the external data or central data warehouse, and being controlled by only one source.
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Data integrity is a term used in databases. In its broadest use, "data integrity" refers to the accuracy and consistency of data stored in a database, data warehouse, data mart or other construct. The term - Data Integrity - can be used to describe a state, a process or a function - and is often used as a proxy for "data quality".
If it's a member of the data set, then it's a data point. If you decide to ignore it as if it was never there, then you're altering the characteristics of the data, and no analysis you do will reflect the true data.
that summarizes the whole data at one digit or a number.
Data that is not expressed as numbers is called qualitative data. This type of data includes descriptive information that can be observed but not measured, such as opinions, experiences, and characteristics. Qualitative data is often collected through interviews, surveys, or open-ended questions, providing insights into the qualities or attributes of a subject.
Yes, there can be two means in a set of data if the data is divided into two distinct groups or populations that have different characteristics. Each group would have its own mean, and the overall set of data could have a mean that is the average of the means of the two groups.