Numeric data are numbers (like age, cost, etc.), while non-numeric data are not numbers (like name, address, etc.).
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The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.
Numeric means a number is used. For a key, that would usually be an integer. Non-numeric keys can include any symbols (i.e., text). In theory, you could also use other specialized data types, for example, dates. Check the data types available by a specific RDBMS; details may vary. Almost any data type can be used for a key; although variable-length data types such as BLOB are either not supported or not practical to use.
The transfer of pages of data between a computer's main memory and an auxiliary memory.
A chart is sometimes referred to as a graph and is a picture of numeric data.
The difference between primary data and secondary data is that primary data is the information from the original research.