I have randomly generated morphological data (total length in cm, weight in grams, eye diameter in mm) of a small rodent from two locations in Australia: the Daintree Rainforest and Atherton Tablelands. I need to test what which of the locations is better suited(more food) for the rodent. Of course, the better suited habitat would weigh heavier, maybe be longer in length and the eye size may even vary, but what kinds of graphs should I make to give a clear answer using the data provided? I am using RStudio.

You have been allocated data on Moodle according to your UID. The file includes randomly generated morphological data (total length in cm, weight in grams, eye diameter in mm) of a small rodent from two locations in Australia: the Daintree Rainforest and Atherton Tablelands. Download the data file, import it into R and complete the assignment. Question: Is the habitat in the Daintree rainforest better suited (i.e. provide more food) for the target species than the Atherton tablelands? O Create specific hypotheses based on the above question and the variables provided. Q Analyse any associations you would expect if this hypothesis were true (do not run tests that are irrelevant to your hypothesis). Use ggplot to graph the distribution and central tendency of variables you use in your analysis in a clean and clear format. Use ggplot to visualise the association from your analysis in a clean and clear format