Data can be shown through various visual representations such as graphs, charts, tables, and infographics. The choice of visualization depends on the type of data and the intended message. Visualization helps in understanding complex data, identifying trends, and communicating insights effectively.
The objective of databse is to categorise Information and to hide them as for example amazon's database keeps the info if everybody who has ever used it so be sure not to show the mainframe but there is another bit to a database. The table, this can be shown freely and contains smart ads to help your needs. Like the recommended part of amazon takes the information from their database and shows it as a table in the form of a webpage
A context diagram focuses on showing interactions between a system and external entities, such as users or other systems, without detailing the internal workings. Data stores are considered internal to the system, so they are not shown in a context diagram to keep the diagram simple and to maintain a high-level view of the system's boundaries and connections.
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 about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
Explicit data is data that is clearly stated or defined, while implicit data is implied or hinted at. Explicit data is typically straightforward and directly provided, whereas implicit data requires context or interpretation to understand its meaning. In the context of programming, explicit data is data that is clearly declared and specified, while implicit data is data that is inferred or derived.
It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.It is which records or rows are used as the source for the data that is being shown or processed.
The report does not show information about the methodology used to collect the data.
False
structs, for example
The answer depends on the purpose of the plot.
randomness of data
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A histogram graph displays continuous data. The data is displayed in ordered columns. Example of data that can shown by a histogram graph is time, inches, and temperature.
Results that occured at the end when you finished your project
What conclusion can be reached by the data shown on the graph?
in the headings of some columns
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