outlier
Extreme numbers in the data as compared the the rest of the data are called OUTLIERS.
In terms of SQL, Skewness is an asymmetry in the distribution of the data values or how the value is distributed accross. Consider a table employees where you have millions of employee records and a column in that table which have either a value as 0 or 1 (F or T). Now consider out of one million records, the 1 value is applicable for only 2000 employees and the rest are having value as 0. This asymmetry or inproportionate data tells us that the column contains highly skewed data.
Outliers
Yes, an observation that is abnormally larger or smaller than the rest of the data can significantly affect the mean, as it will pull the average towards that extreme value. However, the median and mode are less influenced by outliers, as they are not as sensitive to extreme values. The median is the middle value when the data is arranged in order, so outliers have less impact on its value. The mode is the most frequently occurring value, so unless the outlier is the most common value, it will not affect the mode.
A value separated from the rest of the data is called an outlier
In statistics, the name for that is "outlier". Another possible word is "anomaly".
outlier
outlier
Square with perimeter of 80
Quartile
Italy is separated from the rest of Europe by the Alps.
The Alps separate Russia from the rest of Europe.
The Himalaya mountains separate India from the rest of Asia.
Data that does not fit with the rest of the data set.
Extreme numbers in the data as compared the the rest of the data are called OUTLIERS.
Kaliningrad