Non-continuous data is called discrete data.
a noun u can get data and use data but not do data
The initial data that you collect is raw data.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
the data which is accepted is called ACCEPT DATA!
A continuous load is a constant load. A noncontinuous load is one that varies over time.
Straight line graphs show continuous data (like your distance from something over time). Ones that have skips in the line are representations of noncontinuous, or discrete data (like how many papers you have in a folder).
Noncontinuous ranges
Yes.
If you are referring to the fragmented lagging strand for DNA replication, the fragments are called Okazaki fragments.
A continuous load is a constant load. A noncontinuous load is one that varies over time.
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Metadata is data that provides information about other data, such as the structure, format, and relationships of data elements. A data dictionary, on the other hand, is a centralized repository that defines and describes the data elements within a database, including their definitions, attributes, and relationships. In summary, metadata is broader and encompasses various types of information about data, while a data dictionary specifically focuses on defining and documenting the data elements within a database.
A simple verb tense can allow you to describe any number of non-continuous events occurring in the same time frame. The simple tenses are past, present, and future, allowing you describe events in any time period.