A pivot table presents multidimensional data. A Dimension identifies the categories associated with each dimension.
Dimensions ⇒ int[n-dims] Dimension*[n-dims] Dimension ⇒ Value[name] DimUnknown int[n-categories] Category*[n-categories] DimUnknown ⇒ byte[d1] (00 | 01 | 02)[d2] (i0 | i2)[d3] (00 | 01)[d4] (00 | 01)[d5] 01 int[d6]
name is the name of the dimension, e.g.
Statistics, or a variable name.
d1 is usually 0 but many other values have been observed.
d3 is 2 over 99% of the time.
d5 is 0 over 99% of the time.
d6 is either -1 or the 0-based index of the dimension, e.g. 0
for the first dimension, 1 for the second, and so on. The latter is
the case 98% of the time in the corpus.