Answer:
Data are the raw bits and pieces of information with no context. If I told you, “15, 23, 14, 85,” you would not have learned anything. But I would have given you data.
Data can be quantitative or qualitative. Quantitative data is numeric, the result of a measurement, count, or some other mathematical calculation. Qualitative data is descriptive. “Ruby Red,” the color of a 2013 Ford Focus, is an example of qualitative data. A number can be qualitative too: if I tell you my favorite number is 5, that is qualitative data because it is descriptive, not the result of a measurement or mathematical calculation.
Explanation:
When you first design and build a database, you plan one or more tables, you plan the fields (columns) for each table, and you set a data type for each field. For example, if you need to store dates and times, you set a field to the Date/Time data type. If you need to store names and addresses, you set one or more fields to the Text data type, and so on.
Access provides many different data types, and each type has a specific purpose. For a full list of all supported data types across the various Access versions, see Data types for Access desktop databases and Introduction to data types and field properties.
For more information about creating and using lookup fields, see the article Create or delete a multivalued field.
Finally, data types provide a basic form of data validation because they help ensure that users enter the proper types of data in your table fields. For example, you cannot enter text in a field set to accept only numbers.
