Nominal vs Ordinal Data

NOMINAL VS ORDINAL DATA

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Data is raw, unorganized facts that need to be processed. It can be qualitative (descriptive) or quantitative (numerical).

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· Nominal data is categorical data without any order. · Examples include gender, color, and city.

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· Ordinal data is categorical data with a specific order. · Examples include education level, satisfaction rating, and product rankings.

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· Nominal data has no order, while ordinal data has a clear order. · Both are qualitative in nature.

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Gender (male, female, other), Marital status (single, married, divorced), Eye color (blue, brown, green)..

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Education level (high school, bachelor's, master's), Satisfaction rating (poor, fair, good, excellent), Product rankings (first, second, third).

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Understanding the difference between nominal and ordinal data is crucial for effective Data Analysis and interpretation.

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