A graphical presentation helps us organize data and examine their quality. It will be useful later to envisage the population from which the sample is drawn. All the graphics generated in this site can be exported by copy-and-paste ([Ctrl-C] and [Ctrl-V] at the place you choose to export).

The exploratory graphics are also useful for identifying odd-looking values which do not fit in with the rest of the data. In the graphical presentation of data such values appear to be quite separate from the rest of the data, and are called outliers. In many cases outliers are discovered to be misrecorded data values, or represent some special condition that was not in effect when the data were collected.

Other graphical techniques will be introduced later for different purposes and functionality.

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