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the sample minimum (smallest observation) the lower quartile or first quartile; the median (the middle value) the upper quartile or third quartile; the sample maximum (largest observation) In addition to the median of a single set of data there are two related statistics called the upper and lower quartiles.
A pivot table usually consists of row, column and data (or fact) fields. In this case, the column is ship date, the row is region and the data we would like to see is (sum of) units. These fields allow several kinds of aggregations, including: sum, average, standard deviation, count, etc.
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.
A table is an arrangement of columns and rows that organizes and positions data or images. Tables can be created on Wikipedia pages using special wikitext syntax, and many different styles and tricks can be used to customise them.
Versions of Excel up to 7.0 had a limitation in the size of their data sets of 16K (2 14 = 16 384) rows. Versions 8.0 through 11.0 could handle 64K (2 16 = 65 536 ) rows and 256 columns (2 8 as label 'IV').
Highest point Maximum elevation Lowest point Minimum elevation Elevation span Northern Hemisphere: Mount Everest, [1] China and Nepal: 8848 m 29,029 ft Dead Sea, [2] Israel, Jordan, and Palestine: −428 m −1,404 ft: 9,276 m 30,433 ft Southern Hemisphere: Aconcagua, Argentina: 6960 m 22,835 ft Laguna del Carbón, Argentina: −105 m −344 ft ...
A California man has been arrested for a series of alleged violent robberies — including one where he shoved a gun inside a woman’s mouth and broke her teeth, according to authorities.
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]