optimizing Decision tree

I would like to go through the step by step result of ID3 decision tree
algorithm.  would like to see what would be the value of information gain
if we choose particular feature at specific level. What would happen if
we artifically change the most informative feature to some other at root node.  
can we play around Id3 algorithm or if web resources to try that for a sample data set. thanks.