Podcast
Questions and Answers
Which data classification method divides the range of attribute values into equal sized subranges?
Which data classification method divides the range of attribute values into equal sized subranges?
- Equal Interval (correct)
- Mean Deviation
- Standard Deviation
- Quantile
Which data classification method is well suited to linearly distributed data?
Which data classification method is well suited to linearly distributed data?
- Quantile (correct)
- Mean Deviation
- Standard Deviation
- Equal Interval
Which data classification method emphasizes the amount of an attribute value relative to other values?
Which data classification method emphasizes the amount of an attribute value relative to other values?
- Quantile
- Equal Interval (correct)
- Mean Deviation
- Standard Deviation
What is a disadvantage of the Equal Interval method?
What is a disadvantage of the Equal Interval method?
Which method is good for emphasizing relative position (e.g. percentile rank) of features?
Which method is good for emphasizing relative position (e.g. percentile rank) of features?
Which classification method identifies break points by picking the class breaks that best group similar values and maximizes differences between classes?
Which classification method identifies break points by picking the class breaks that best group similar values and maximizes differences between classes?
Which classification method creates class breaks based on the calculated mean and the standard deviations from the mean?
Which classification method creates class breaks based on the calculated mean and the standard deviations from the mean?
Which method creates class breaks based on class intervals that have geometric series?
Which method creates class breaks based on class intervals that have geometric series?
Which classification method is designed to accommodate continuous data and creates a balance between highlighting changes in the middle values and the extreme values?
Which classification method is designed to accommodate continuous data and creates a balance between highlighting changes in the middle values and the extreme values?
Which method emphasizes values above (shown in blue) and below (shown in red) the mean using a two-color ramp?
Which method emphasizes values above (shown in blue) and below (shown in red) the mean using a two-color ramp?
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