Answer:
columns, rows
Explanation:
In Computer programming, a atabase schema refers to the logical design of the database while the database instance refers to a snapshot of the data found in a database at a given instant in time.
Basically, in database management, the term "schema" is used to denote a representation of data while the term "instance" is used to denote an instance of time.
A database schema is a structure which is typically used to represent the logical design of the database and as such represents how data are stored or organized and the relationships existing in a database management system. There are two (2) main categories of a database schema; physical database schema and logical database schema.
Also, a database instance is a snapshot of the data in the database at a given instant in time and as such represents an operational database by following the conditions, validation and constraints set for a database management system.
These data can be stored or organized in a database management system through the use of multiple-column record formats.
In a multiple-column record of a data file, columns represent different variables and rows represent different cases (respondents) such as experimental data, independent observations etc.
Answer:
The answer to this question is "true".
Explanation:
In this question, the answer is true because The use of formatting provides changes in the data presentation, not in the data. It is also known as layout.
The layout or formatting is important for two reasons that can be given as:
1) It makes your data like a formatted data.
2) It helps to make your data more readable.
Answer:
Computer modeling.
Explanation:
Computational modeling is characterized by the use of computers to represent a real world situation, that is, it is the use of mathematical models to assist in solving problems in multidisciplinary areas essential for the development of science and technology. Through computational modeling it is possible to adjust several study variables and achieve greater probabilities of reaching an effective result more quickly and at a lower cost.
Through this system it is possible to solve complex problems such as scientific research, product development, analysis and predictions about certain phenomena, development of technology applied to health, etc.
