Descriptions are best represented using a character array (string) data type.
histogam
integer data type
what data type is Middle initial
There is no such data type. However, when we use user-defined data types of our own type, then that type of data can be stored in a variable. So as a term, you may say that user-defined data type can store any data. As the data-type used in any variable will be depending upon us.
Data Type defines the type of data that will be stored. Example : int, byte, short etc
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
Qualitative data deals directly with descriptions; not numbers. This data can be observed and read but not measured since there are no numbers involved.
An observation that deals with a number or amount is called a quantitative observation. An observation that deals with descriptions is called a qualitative observation.
No, "text" is not an access data type. In Microsoft Access, commonly used data types include Text, Number, Date/Time, Memo, and Yes/No among others. Text is used to store alphanumeric data such as names or descriptions.
can yield numbers and descriptions
Qualitative has to do with quality and can be subjective. Quantitative has to do with quantity and is measured in numbers. Qualitative data deals with descriptions of what you can see, such as colors, smells, tastes, etc. It can be seen, but not measured. Quantitative data deals with numbers, such as length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc.
your mamma
Any type of analysis that deals with numeric data (numbers) is quantitative analysis. Qualitative analysis, on the other hand, does not have numeric data ( for example, classify people according to religion).
A text data type field can store alphanumeric characters, such as letters, numbers, and special symbols. It is suitable for storing large amounts of text data, such as descriptions, comments, or notes. Text data types can hold variable lengths of text, depending on the database system used.
Line graphs are the best graphs in order to display differences in data over time because the trends (if any) are easy to point out, as opposed to a bar graph, which deals with categorical data, or a pie chart, which deals with relative frequency.
Qualitative data
P. Hansen has written: 'Systems of Cities and Facility Location' 'Job descriptions in data processing' -- subject(s): Electronic data processing personnel, Job descriptions 'Job trends in data processing' -- subject(s): Electronic data processing, Electronic data processing departments, Electronic data processing personnel, Vocational guidance 'Grplot'