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# 1. Data and its Types
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#### What is data?
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Data is a set of collected or recorded facts of particular subject.
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Data in general terms refer to facts and statistics collected together for reference or analysis.
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Types of Data:
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#### 1. Qualitative
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#### 2. Quanititative
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#### 1. Qualitative Data:
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"Data Associated with the quality in different categories". Data is measurements, each fall into one of several categories. (Hair Color, ethnic groups and other attributes of the population)
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##### (a). Nominal Data: "With no inherent order or ranking"
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~ Data with no inherent order or ranking such as gender or race, suck kind of data called Nominal Data.
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##### (b). Ordinal Data: "with an order series"
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#### 2. Quantitative Data:
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"Data associated with Quantity which can be measured"
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~ Data measured on a numeric scale (distance travelled to college, the number of children in a family etc.)
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##### (a). Discrete Data: "Based on count, finite number of values possible and value cannot be subdivided"
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~ Data which can be categorized into classification, data which is based upon counts, there are only a finite number of values possible and values cannot be subdivided meaningfully, such kind of data is called Discrete Data.
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##### (b). # Continuous Data: "measured on a continuum or a scale, value which can be subdivided into finer increments"
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~ Data which can be measured on a continuum or a scale, data which can be have almost any numeric value and can be subdivided into finer and finer increments, such kind of data is called Continuous Data.
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