Mineral data
An example of quantitative data would be the number of people born in 1 hour.
There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.There would be some. For example if you copy data from Excel into Word, only values will come through, not the underlying formulas.
External data is something that is added to a device to increase its storage capacity. An example of this would be an SD card that you put in a cell phone.
Primary data is data collected firsthand, through surveys, interviews, experiments, etc. by the researcher, while secondary data is existing data that has already been collected by someone else. An example of primary data would be survey responses collected by a marketing team for a new product. An example of secondary data would be industry reports or census data obtained from a government website.
One dimensional data storage is when you store a series of data in a linear way. An example of this would be an array, which stores data in a series, and access that data by indexing it. A linked list is another example of a data structure that behaves one dimensionaly.
Data that can be expressed by numbers, for example 35% or 0.23 or a quarter. The opposite is qualitive data and this would be opinions.
It would depend on the type of data needed. Stock data for example can be downloaded from chart oasis. Data on the Landsat program is available from NASA.
If there is no data, then there will be no consequences. If there is data in it, it could be changed or lost or it may have no major effect. It would depend on the data type, what data was in the field and what data type it was changed too.
And example of quantitative data would be data expressed in numerical terms such as 1 dog, 2 cats, 3 birds... This can be done in amounts, temperatures, weights, heights, anything that is measured by a number.
The mode is the answer which appears most frequently in a set of data! For example in this data: 2,4,4,6,7,7,7,8,8,9! The mode would be 7!
# What kinds of data would you store in an entity subtype?# What is a subtype discriminator? Given an example of its use.# What is an overlapping subtype? Give an example.# What is the difference between partial completeness and total completeness?# What kinds of data would you store in an entity subtype?# What is a subtype discriminator? Given an example of its use.# What is an overlapping subtype? Give an example.# What is the difference between partial completeness and total completeness?