formatting - How to format a large Number

There is a large number

a = 123456789012345678901234567.123456789012345678901234567

By format with AccountingForm

b = AccountingForm[a, 54]

it becomes

123456789012345678901234567.123456789012345678901234567

How to to parameterise the integer part and the fractional and the
n-digit precision part to produce a number. Like

int=123456789012345678901234567.  

fra=.123456789012345678901234567  
pre=54

resulting to the same outcome like b above?

UPDATE

A general solution was found.

int = 1234567890123456789012345678900;
fra = 123456789012345678901234567890;

SetPrecision[ToExpression[ToString[int] <> "." <> ToString[fra]], 

StringLength[ToString[int]] + StringLength[ToString[fra]]]

is still a number,

1.234567890123456789012345678900123456789012345678901234567890*10^30

now look at it as a string with all digits minutely preserved

ScientificForm[%, ExponentStep -> StringLength[ToString[int]]]  

1234567890123456789012345678900.123456789012345678901234567890

Comments

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list manipulation - Selecting multiple columns from a matrix?

Sample data: data = { {{2013, 1, 1}, 24.13, 167.67, 231.82}, {{2013, 1, 2}, 32.15, 170.92, 225.99}, {{2013, 1, 3}, 35.43, 172.68, 221.67}, {{2013, 1, 4}, 36.73, 173.05, 218.32}, {{2013, 1, 5}, 58.19, 165.96, 197.05}, {{2013, 1, 6}, 69.99, 163.50, 187.52}, {{2013, 1, 7}, 71.37, 154.21, 175.58}, {{2013, 1, 8}, 72.51, 149.66, 163.25}}; I want a DateListPlot with three graphs, so for a matrix formed by columns 1 and 2, one for columns 1 and 3, and 1 for columns 1 and 4. At the moment I'm using this code: data2 = Transpose[{data[[All, 1]], data[[All, 2]]}]; data3 = Transpose[{data[[All, 1]], data[[All, 3]]}]; data4 = Transpose[{data[[All, 1]], data[[All, 4]]}]; DateListPlot[{data2, data3, data4}, Joined -> True, Filling -> {3 -> {1}}] but I have a hunch that this can be done more efficiently. I don't like the Transpose s in particular. Any ideas? edit (for extra credit) What if I need to multiply the second column by 2, which in my solution is simp...

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