14. The data analyzing apparatus of claim 7 , where A denotes a first characteristic of the entities; where B denotes a second characteristic of the entities; wherein the time-dependent property comprises a first time-dependent component having a property value A 1 associated with the first characteristic A at a first time t 1 and a property value A 2 associated with the first characteristic A at a second time t 2 >t 1 ; wherein the time-dependent property comprises a second time-dependent component having a property value B 1 associated with the second characteristic B at the first time t 1 and a property value B 2 associated with the second characteristic B at the second time t 2 ; wherein the measure has a first component (M A ) and a second component (M B ); wherein M A has a value M A1 at the first time t 1 and a value M A2 at the second time t 2 ; wherein M B has a value M B1 at the first time t 1 and a value M B2 at the second time t 2 ; wherein the adjusting item has an adjustment value Δ; wherein the method further comprises calculating M A1 , M A2 , M B1 , and M B2 via 
 M A1 =A 1 , 
 M A2 =A 1 +A 2 −Δ, 
 M B1 =B 1 , 
 M B2 =B 1 +B 2 +Δ; and wherein Δ=M A1 .
14. The data analyzing apparatus of claim 7 , where A denotes a first characteristic of the entities; where B denotes a second characteristic of the entities; wherein the time-dependent property comprises a first time-dependent component having a property value A 1 associated with the first characteristic A at a first time t 1 and a property value A 2 associated with the first characteristic A at a second time t 2 >t 1 ; wherein the time-dependent property comprises a second time-dependent component having a property value B 1 associated with the second characteristic B at the first time t 1 and a property value B 2 associated with the second characteristic B at the second time t 2 ; wherein the measure has a first component (M A ) and a second component (M B ); wherein M A has a value M A1 at the first time t 1 and a value M A2 at the second time t 2 ; wherein M B has a value M B1 at the first time t 1 and a value M B2 at the second time t 2 ; wherein the adjusting item has an adjustment value Δ; wherein the method further comprises calculating M A1 , M A2 , M B1 , and M B2 via 
 M A1 =A 1 , 
 M A2 =A 1 +A 2 −Δ, 
 M B1 =B 1 , 
 M B2 =B 1 +B 2 +Δ; and wherein Δ=M A1 . 16. The data analyzing apparatus of claim 14 , wherein the method further comprises: generating a table comprising columns and rows, wherein the columns comprise a time column, a characteristic identifier column, a property value column, and a delta column; wherein the rows comprise a first set of rows and a second set of rows; wherein the first set of rows comprises the first time in the first column, an identifier of the first characteristic A and an identifier of the second characteristic B in the characteristic identifier column, A 1 and B 1 in the property value column, and zero in the delta column; and wherein the second set of rows comprises the second time in the time column, the identifier of the first characteristic A and the identifier of the second characteristic B in the characteristic identifier column, A 2 and B 2 in the property value column, and both minus Δ and plus Δ in the delta column.