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                                                     5.4 Multidimensional Data Analysis in Cube Space  233


                               Avg. sales                               Month
                               Item              Jan  Feb  Mar  Apr  May  Jun  Jul  Aug  Sep  Oct  Nov  Dec
                               Sony b/w printer       9%  −8%  2% −5%  14%  −4%  0%  41%  −13%  −15%  −11%
                               Sony color printer     0%  0%  3%   2%  4% −10%  −13%  0%  4%  −6%  4%
                               HP b/w printer        −2%  1%  2%   3%  8%  0%  −12%  −9%  3%  −3%  6%
                               HP color printer       0%  0%  −2%  1%  0%  −1%  −7%  −2%  1%  −4%  1%
                               IBM desktop computer   1% −2%  −1%  −1%  3%  3%  −10%  4%  1%  −4%  −1%
                               IBM laptop computer    0%  0%  −1%  3%  4%   2%  −10%  −2%  0%  −9%  3%
                               Toshiba desktop computer  −2% −5%  1%  1%  −1%  1%  5%  −3%  −5%  −1%  −1%
                               Toshiba laptop computer  1%  0%  3%  0%  −2%  −2%  −5%  3%  2%  −1%  0%
                               Logitech mouse         3% −2%  −1%  0%  4%   6%  −11%  2%  1%  −4%  0%
                               Ergo-way mouse         0%  0%  2%   3%  1%  −2%  −2%  −5%  0%  −5%  8%


                    Figure 5.17 Change in sales for each item-time combination.



                                Avg. sales                         Month
                                Region  Jan  Feb  Mar  Apr  May  Jun  Jul  Aug  Sep  Oct  Nov  Dec
                                North       −1%  −3%   −1%   0%  3%    4%  −7%   1% 0%    −3%  −3%
                                South       −1%   1%   −9%   6% −1% −39%    9% −34% 4%     1%   7%
                                East        −1%  −2%   2%   −3%  1%   18%  −2%   11% −3%  −2%  −1%
                                West         4%   0%   −1%  −3%  5%    1% −18%   8% 5%    −8%   1%


                    Figure 5.18 Change in sales for the item IBM desktop computer per region.


                               b/w printers” in September. This cell has a dark background, indicating a high SelfExp
                               value, meaning that the cell is an exception. Consider now the sales difference of −15%
                               for “Sony b/w printers” in November and of −11% in December. The −11% value for
                               December is marked as an exception, while the −15% value is not, even though −15% is
                               a bigger deviation than −11%. This is because the exception indicators consider all the
                               dimensions that a cell is in. Notice that the December sales of most of the other items
                               have a large positive value, while the November sales do not. Therefore, by considering
                               the cell’s position in the cube, the sales difference for “Sony b/w printers” in December is
                               exceptional, while the November sales difference of this item is not.
                                 The InExp values can be used to indicate exceptions at lower levels that are not vis-
                               ible at the current level. Consider the cells for “IBM desktop computers” in July and
                               September. These both have a dark, thick box around them, indicating high InExp val-
                               ues. You may decide to further explore the sales of “IBM desktop computers” by drilling
                               down along region. The resulting sales difference by region is shown in Figure 5.18, where
                               the highlight exceptions option has been invoked. The visual cues displayed make it easy
                               to instantly notice an exception for the sales of “IBM desktop computers” in the southern
                               region, where such sales have decreased by −39% and −34% in July and September,
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