PedScope can generate various types of graphs/charts.
Line graphs plot any of the individual statistics against date periods. E.g. to plot how average inbreeding varies over time.
The example shown here charts the average inbreeding coefficient (F) per year, in this case for the UK Golden Retriever pedigree (note: during the years of World War 1 very little data is available and this causes significant variation in that period.)
Frequency charts show a bar chart giving the frequency of ranges of metric value for a given set of individuals. This lets you visualize the frequency distribution of, say, inbreeding, within any group of individuals.
The example shown here plots the distribution of inbreeding coefficients within the UK Golden Retriever pedigree. The mean inbreeding is near 22% and the plot visualizes nicely how the frequency distribution clusters around the mean. The apparently spuriously high frequency for COI 0% is caused by unknown ancestry in the pedigree - dogs where close ancestors are unknown.
Scattergram charts can be used to visualize the correlation between any two metrics for a group of individuals. E.g. you could chart the relation between the inbreeding and longevity. It also computes correlation coefficients, both the Product Moment Correlation Coefficient (r) and Spearman Rank Correlation Coefficient (rs).
In the example shown here, inbreeding (F) has been plotted against the pedigree completeness, showing a weak correlation. In a closed population with considerable inbreeding, such as a pedigreed dog population from which this example is taken, you would expect the computed inbreeding coefficient to trend higher as more ancestry is available. The main intended use however for correlation plots is when your source data includes 'real' per-individual measurements such as weight, or height; these can then be correlated against other metrics computed by PedScope, such as the inbreeding coefficient.
For further information please see the Reports section of the User Guide.