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 about data". There are two "metadata types;" structural metadata, about the design and specification of data structures or "data about the containers of data"; and descriptive metadata about individual instances of application data or the data content.
Ungrouped data is data that is not grouped in a specific order. Grouped data is a set of data that has unique characteristics in common.
primary data structures
primary data structures
i think content analysis is more quantitative but hermeneutics is more qulitative
An example is like when a store asks women how they feel about the store. When the woman give their descriptions and/or answers and/or thought and the store observes their reviews, that is a qulitative observation. Hope that helps.
Counselling is a form of help which can be best defined as directed to a person or group, who need qulitative guidance and seek qualitative measures to rid of their disturbed, disbalanced state of affairs and minds about a subject matter of concern on their understanding an outer sate or an inner state. Counselling is directed to help people in a state of confusion, anxiety, depression and other mind related disturbances ,illusions etc and is more essential in to answer or address intelligent quotient rather than physical quotient. Help is general term and Counselling is specific term. It is type of help and a division ogf help which offers help of qulitative nature . Help can be physical (Quantitative) and mental(Qualitative) in nature. Counselling qualifies to be the second form of help.
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.
Metada data is data that describes other data.
Data cleaning is where the data may have missing data such as gender and the data manager has to go back to the source to find the data or data is incorrect and has to be corrected back at the source.
No, Moving data is not same as duplicating data. When we copy data that causes duplication of data . And while moving we are just changing the storage location of data.To copy data is duplication, but to move data does not cause duplication.
The initial data that you collect is raw data.