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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.
Then is called a pivotal quantity (or simply a pivot). Pivotal quantities are commonly used for normalization to allow data from different data sets to be compared. It is relatively easy to construct pivots for location and scale parameters: for the former we form differences so that location cancels, for the latter ratios so that scale cancels.
In addition, it can display data as line graphs, histograms and charts, and with a very limited three-dimensional graphical display. It allows sectioning of data to view its dependencies on various factors for different perspectives (using pivot tables and the scenario manager). [8] A PivotTable is a tool for data analysis. It does this by ...
Adding support for pivot charts, which use data from pivot tables. When the table is updated, the chart is automatically updated as well. Menu commands to show, hide and delete all comments; Priority of conditional formatting rules can be changed with new up/down buttons
This again ensures a worst-case linear performance, in addition to average-case linear performance: introselect starts with quickselect (with random pivot, default), to obtain good average performance, and then falls back to modified quickselect with pivot obtained from median of medians if the progress is too slow.
Graphical examination of count data may be aided by the use of data transformations chosen to have the property of stabilising the sample variance. In particular, the square root transformation might be used when data can be approximated by a Poisson distribution (although other transformation have modestly improved properties), while an inverse sine transformation is available when a binomial ...
Common measures of statistical dispersion are the standard deviation, variance, range, interquartile range, absolute deviation, mean absolute difference and the distance standard deviation. Measures that assess spread in comparison to the typical size of data values include the coefficient of variation .
is the mutual information between the row vector r and the column vector c of the contingency table. It can also be shown [ citation needed ] that the inverse document frequency weighting commonly used for text retrieval is an approximation of G applicable when the row sum for the query is much smaller than the row sum for the remainder of the ...