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Summary
- Data attribute types: nominal, binary, ordinal, interval-scaled, ratio-scaled
- Many types of data sets, e.g., numerical, text, graph, Web, image.
- Gain insight into the data by:
- Basic statistical data description: central tendency, dispersion, graphical displays
- Data visualization: map data onto graphical primitives
- Measure data similarity
- Above steps are the beginning of data preprocessing.
- Many methods have been developed but still an active area of research.
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