I am presently doing nucleotide diversity analysis for large number of genes. I have 1 dataframe (26 columns x unknown number of rows) for each gene. The 26 columns each correspond to 1 population (African, American, etc). The rows correspond to the nucleotide positions studied for each gene. Now I have to present this data in the form of a chart in order to compare the nucleotide diversity distribution for each of the 26 population. What would be the best visual presentation of this data without losing information at each position. Nucleotide diversity values range from 0-1 (with most values occuring between 0 and 0.5). I have principal component analysis to see the clustering of the data but I lose much of the information at each nucleotide position. I am doing my analysis in R. Any suggestion would be most appreciated!