In database there is no limit for storing data unless you have mentioned any. If there is a limit to the data to be stored in DB , the data is called finite data.
A graph with finite data is one that represents a limited number of discrete points or values. For example, a bar graph illustrating the number of students in different classes at a school is finite, as it only includes specific, countable data points. Similarly, a scatter plot showing the relationship between two variables collected from a survey of a fixed number of respondents is also finite. In contrast, a continuous graph, like a sine wave, represents an infinite set of data points.
E. Hinton has written: 'Finite element programming' -- subject(s): Data processing, Finite element method
First let's look at what quantitative data is.Quantitative data are numeric.Discrete data are numeric data that have a finite number of possible values.So it is numerical data that can only have a finite number of possible values.One often used example of discrete quantitative data is the number 1,2 3, and 4 corresponding to strongly agree, agree, neutral, and don't agree,
A discrete variable.
A discrete graph.
J. E. Akin has written: 'Finite element analysis with error estimators' -- subject(s): Error analysis (Mathematics), Finite element method, Structural analysis (Engineering) 'Finite Elements for Analysis and Design' 'Finite Elements for Analysis and Design' 'Application and implementation of finite element methods' -- subject(s): Data processing, Finite element method
I. M. Smith has written: 'Programming the finite element method' -- subject(s): Data processing, Finite element method, Soil mechanics
Daryl L. Logan has written: 'A First Course in the Finite Element Method/Book and Disk (The Pws Series in Engineering)' 'A first course in the finite element method' -- subject(s): Finite element method 'A first course in the finite element method' -- subject(s): Finite element method 'A First Course in the Finite Element Method Using Algor' -- subject(s): Algor, Data processing, Finite element method
A graph that has a finite or limited number of data points is typically referred to as a discrete graph. Discrete graphs represent data that can take on specific, separate values, often illustrated with distinct points rather than continuous lines. Examples include bar graphs and scatter plots, where each point correlates to a specific data value.
Analog means continuous transmission of data whereas digital means discrete transmission of data. In analog communications we are transmitting finite amount of data in infinite amount of information. so,there is a possibility of occurrence of noise. where as in digital we are transmitting finite amount of data in finite amount of information. so , out of these two, digital is most efficient.
It is a finite number.It is a finite number.It is a finite number.It is a finite number.
prove that every subset of a finite set is a finite set?