are the data discrete or continuous?
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There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous. Discrete data is a count that can't be made more precise.
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If we represent a signal values(y-axis) w.r.t. time(x-axis) then if the signal has no break-point in x-axis then the signal is continuous. If the signal has no breakpoint in y-axis then the signal is analog.
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Definition: A set of data is said to be continuous if the values belonging to the set can take on ANY value within a finite or infinite interval. Definition: A set of data is said to be discrete if the values belonging to the set are distinct and separate (unconnected values).
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A discrete distribution describes the probability of occurrence of each value of a discrete random variable. A discrete random variable is a random variable that has countable values, such as a list of non-negative integers.
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Discrete data involves round, concrete numbers that are determined by counting. Continuous data involves complex numbers that are measured across a specific time interval. A simple way to describe the difference between the two is to visualize a scatter plot graph vs. a line graph.
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Categorical variables contain a finite number of categories or distinct groups. Categorical data might not have a logical order. ... Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time.
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Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.
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Data is a set of qualitative or quantitative variables – it can be structured or unstructured, machine readable or not, digital or analogue, personal or not. ... There are “dimensions” that distinguish data from BIG DATA, summarised as the “3 Vs” of data: Volume, Variety, Velocity. Hence, BIG DATA, is not just “more” data.
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Qualitative Data are not numbers. They may include favorite foods; religions; ethnicities; etc.. Discrete Data are numbers that may take on specific, separated values. ... Continuous Data are numbers that may take on all sorts of decimal or fractional values.
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Discrete data is information that can only take certain values. ... Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.
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A variable that is not continuous is called discrete. A discrete quantitative variable is one that cannot take on all values within the limits of the range. ... Other examples of discrete quantitative variables are the number of legs on an animal, number of siblings, ACT scores, IQ scores, and shoe size.
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Example of Quantitative Discrete Data The data are the number of books students carry in their backpacks. ... The numbers of books (three, four, two, and one) are the quantitative discrete data.
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Time is a continuous variable. You could turn age into a discrete variable and then you could count it. For example: A person's age in years.
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Discrete data can be further sub-divided into three categories: binary, nominal and ordinal. Binary Data: A binary data only takes on two possible values. For example, lamp is on or lamp is off, answer is true or false, 0 or 1, yes or no etc. ... These five responses are ordered so this would be an example of ordinal data.
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Continuous and discrete are mathematical terms. Continuous means "forming an unbroken whole, without interruption"; discrete means "individually separate and distinct." ... When you drag a field from the Data pane to Columns or Rows, the values are continuous by default and Tableau creates an axis.
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A probability distribution may be either discrete or continuous. A discrete distribution means that X can assume one of a countable (usually finite) number of values, while a continuous distribution means that X can assume one of an infinite (uncountable) number of different values.
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['At the highest level, two kinds of data exist: quantitative and qualitative.', 'There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete.']