Nominal Vs Ordinal Data

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Nominal Vs Ordinal Data

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Ordinal Vs Nominal Data Slideshare

Nominal Data Nominal data is a basic data type that categorizes data by labeling or naming values such as Gender hair color or types of animal It does not have any hierarchy Ordinal Data Ordinal data involves classifying data based on rank such as social status in categories like wealthy middle income or poor What is the difference between ordinal data and nominal data? Ordinal data is qualitative data that is categorized in a specific ranked order or hierarchy. Nominal data is qualitative data that is categorized based only on descriptive characteristics.

Nominal And Ordinal Data Examples Data Science Data Science

Nominal Vs Ordinal DataNominal: the data can only be categorized. Ordinal: the data can be categorized and ranked. Interval: the data can be categorized and ranked, and evenly spaced. Ratio: the data can be categorized, ranked, evenly spaced and has a natural zero. Nominal data involves naming or identifying data because the word nominal shares a Latin root with the word name and has a similar sound nominal data s function is easy to remember Ordinal data involves placing information into an order and ordinal and order sound alike making the function of ordinal data also easy to

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