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The descriptive and conceptual results gathered through surveys, interviews, or observation are referred to as qualitative data. We can explore concepts and further explain quantitative outcomes by analyzing qualitative data.

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Data that uses integers

example:

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Quantitative data is more of shown with description and writing rather than numerical data. This is done through surveys and interviews, which asks you to answer in terms of language. Examples include audio and video recordings, investigations of people/groups, description, transcriptions, and observations.

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It is data that falls in a constant sequence, it can take any value like height, weight, temperature, and length. Some continuous data will change over time, the variables often has to be measured so that the data can be recorded.

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Quantitative data is data/information that can me counted (that can be quantified and given a numerical value). Quantitative data is mostly used to quantify a problem (questions like “how many” “how often” and “what” is answered by Quantitative data)

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Quantitative data is data that can be counted or measured in numerical values. The two main types of quantitative data are discrete data and continuous data

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Quantitative data is data expressing a certain quantity, amount or range. Usually, there are measurement units associated with the data, e.g. metres, in the case of the height of a person.

https://stats.oecd.org/glossary/detail.asp?ID=2219

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Continuous data is measurable data that falls in a constant sequence. Examples of continuous data include temperature of boiling water, length of a table, height of a person, the speed of an airplane, and the amount of time to do a test.

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Qualitative data is data that is not easily reduced to numbers. Qualitative data tends to answer questions about the 'what', 'how' and 'why' of a phenomenon, rather than questions of 'how many' or 'how much'. (Source: here)

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Qualitative data describe qualities. Questionnaires, interviews, or observation, and frequently appears in the narrative form are used in collecting. Qualitative data are measures of 'types' and may be represented by a name, symbol, or number code.

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Continuous data is data that can be measured on an infinite scale, meaning there isn't any limitation to its value. It could be any value of numbers and measurement units.

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Quantitive data refers to any information that can be quantified -- which are numbers. It is counted in numerical values and the two main types are discrete and continuous data.

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data that is constant and continuous, continuous data changes overtime and helps refer to one point to another, with numerical data.

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Discrete is where only a limited number of values is possible.

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Discrete data is data that involves integers and only a limited number of values is possible. This type of data cannot be subdivided into different parts. Discrete data includes discrete variables that are finite, numeric, countable, and non-negative integers.

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Discrete data refers to discrete, countable, numerical. Discrete data is an integerbased count with a limited number of possible values. This type of information can't be broken down into smaller pieces.

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Continuous Data is information falls in constant sequence and can be measured in many different values. An example of continuous data is measuring the height of an object which can be measured in many precise scales such as meters, millimetres, centimeters and kilometers.