Another approach is to transpose the columns into rows as you read them in. Then use List::Util functions of min,max,sum on each row which of course used to be the columns.

note: pp is a bit funky as it prints to STDERR instead of STDOUT, I adjusted print order to handle that. 

#!/usr/bin/perl -w
use strict;
use Data::Dump qw(pp);
use List::Util qw(first max maxstr min minstr reduce shuffle sum);

my @cols;

while (<DATA>)
{
    my $i=0;                    #transpose cols to rows
    foreach (split)
    {
       push @{$cols[$i++]}, $_;
    }
}

print STDERR "Now the rows of @cols are the columns:\n";
pp \@cols;

foreach my $colref (@cols)
{
   my @column = @$colref;
   print "smallest: ",min(@column),
         " largest: ",max(@column), 
         " sum: ",sum(@column),"\n";        
}

=PRINTS ###################
Now the rows of @cols are the columns:
[
  [2124, 2058, 2237, 2056, 2056, 1957, 2181, 2056, 1996, 2181],
  [1827, 1771, 1864, 1845, 1808, 1889, 1991, 1873, 1915, 1875],
  [1702, 1776, 1684, 1748, 1755, 1769, 1706, 1803, 1746, 1810],
  [1710, 1701, 1673, 1693, 1689, 1667, 1715, 1711, 1690, 1728],
  [1658, 1645, 1633, 1679, 1684, 1697, 1654, 1715, 1685, 1638],
  [1637, 1672, 1667, 1670, 1663, 1669, 1686, 1669, 1630, 1625],
  [1676, 1615, 1610, 1663, 1627, 1637, 1605, 1630, 1625, 1628],
  [1630, 1599, 1624, 1638, 1581, 1631, 1622, 1619, 1589, 1621],
  [1602, 1609, 1591, 1590, 1594, 1584, 1594, 1578, 1609, 1614],
  [1607, 1583, 1589, 1564, 1580, 1621, 1597, 1604, 1593, 1587],
  [1579, 1570, 1593, 1564, 1580, 1576, 1576, 1584, 1569, 1576],
  [1558, 1587, 1576, 1573, 1616, 1570, 1564, 1568, 1562, 1558],
  [1575, 1578, 1565, 1571, 1559, 1569, 1567, 1557, 1574, 1552],
  [1550, 1563, 1570, 1545, 1568, 1552, 1560, 1556, 1555, 1557],
  [1548, 1555, 1559, 1542, 1541, 1547, 1567, 1544, 1548, 1543],
  [1540, 1541, 1539, 1543, 1539, 1542, 1540, 1549, 1541, 1541],
  [1537, 1537, 1537, 1537, 1537, 1537, 1537, 1537, 1537, 1537],
]
smallest: 1957 largest: 2237 sum: 20902
smallest: 1771 largest: 1991 sum: 18658
smallest: 1684 largest: 1810 sum: 17499
smallest: 1667 largest: 1728 sum: 16977
smallest: 1633 largest: 1715 sum: 16688
smallest: 1625 largest: 1686 sum: 16588
smallest: 1605 largest: 1676 sum: 16316
smallest: 1581 largest: 1638 sum: 16154
smallest: 1578 largest: 1614 sum: 15965
smallest: 1564 largest: 1621 sum: 15925
smallest: 1564 largest: 1593 sum: 15767
smallest: 1558 largest: 1616 sum: 15732
smallest: 1552 largest: 1578 sum: 15667
smallest: 1545 largest: 1570 sum: 15576
smallest: 1541 largest: 1567 sum: 15494
smallest: 1539 largest: 1549 sum: 15415
smallest: 1537 largest: 1537 sum: 15370

=cut

__DATA__
2124 1827 1702 1710 1658 1637 1676 1630 1602 1607 1579 1558 1575 1550 
+1548 1540 1537
2058 1771 1776 1701 1645 1672 1615 1599 1609 1583 1570 1587 1578 1563 
+1555 1541 1537
2237 1864 1684 1673 1633 1667 1610 1624 1591 1589 1593 1576 1565 1570 
+1559 1539 1537
2056 1845 1748 1693 1679 1670 1663 1638 1590 1564 1564 1573 1571 1545 
+1542 1543 1537
2056 1808 1755 1689 1684 1663 1627 1581 1594 1580 1580 1616 1559 1568 
+1541 1539 1537
1957 1889 1769 1667 1697 1669 1637 1631 1584 1621 1576 1570 1569 1552 
+1547 1542 1537
2181 1991 1706 1715 1654 1686 1605 1622 1594 1597 1576 1564 1567 1560 
+1567 1540 1537
2056 1873 1803 1711 1715 1669 1630 1619 1578 1604 1584 1568 1557 1556 
+1544 1549 1537
1996 1915 1746 1690 1685 1630 1625 1589 1609 1593 1569 1562 1574 1555 
+1548 1541 1537
2181 1875 1810 1728 1638 1625 1628 1621 1614 1587 1576 1558 1552 1557 
+1543 1541 1537

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In reply to Re: sorting columns and getting the largest ansd smallest values in each column by Marshall
in thread sorting columns and getting the largest ansd smallest values in each column by $new_guy

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