This window offers statistics about the characters in your game — levels of Influence, populations of clans, etc. Choose one of three types of graph type:
- Distribution. This type of statistic plots the different values for a chosen characteristic against the number of characters that have that value. In other words, use populations to tell you how many characters of each clan are in your game, what the distribution of total Social Traits is, or how many characters have degrees ofPure Breed.
- Maxima. This type of statistic is appropriate for use with Traits or numeric data — it reports your game’s highest levels in the area selected. Use maximums to monitor the highest levels of Influence or Backgrounds presently in your game. If three people in your game have Street x1, two people have Street x2, and one person has Street x3, this statistic will report 3 as the maximum for Street.
- Sums. This type of statistic reports the sum total of all such Traits in the game. It provides another perspective with which to examine at Influences and similar characteristics. If three people in your game have Street x1, two people have Street x2, and one person has Street x3, this statistic will report 10 as the sum for Street.
Use the “Whom to Graph” dropdown list to choose the set of characters you want to examine, and use the “Data to Graph” dropdown list to choose the particular character data you want to graph.
If you are graphing a Distribution and you select a list of Traits such as Influences or Physical Traits or Merits, several additional options appear. The top option button graphs the distribution of total Traits in the list, while the bottom button and the text box beside it allow you to graph the distribution of one specific Trait.
If you are graphing a Distribution, a checkbox also appears that allows you to exclude all entries of zero Traits or empty fields (“none”) from the statistics.
The graph below displays the statistics in the manner of a bar chart. Click any bar to open a list of all the characters that were found to contribute to that statistic. In graphs of distinct distributions, maxima and sums, each character name in the list will be preceded by the number of matching Traits it has.