1. A method of varying how processing circuitry renders transaction data to identify fraud detection rule strength, the method comprising: from a group of transaction entries and by processing circuitry, providing a general graph on an electronic display of a user, the group of transaction entries defining a group of transactions, each transaction entry including (i) a set of transaction details identifying aspects of a respective transaction and (ii) a fraud indicator indicating whether that respective transaction was fraudulent, and the general graph representing the respective transaction defined by each transaction entry of the group of transaction entries by (i) using a first graph style when the fraud indicator of that transaction entry indicates that the respective transaction is fraudulent and (ii) using a second graph style when the fraud indicator of that transaction entry indicates that the respective transaction is authentic; after providing the general graph on the electronic display of the user and by the processing circuitry, applying selection criteria to the group of transaction entries to generate a subgroup of transaction entries from the group of transaction entries, the subgroup having fewer transaction entries than the group of transaction entries; and from the subgroup of transaction entries and by the processing circuitry, providing a focused graph on the electronic display of the user in place of the general graph, the focused graph representing the respective transaction defined by each transaction entry of the subgroup of transaction entries by (i) using the first graph style when the fraud indicator of that transaction entry indicates that the respective transaction is fraudulent and (ii) using the second graph style when the fraud indicator of that transaction entry indicates that the respective transaction is authentic, the ratio between the number of transactions represented using the first graph style to the number of transactions represented using the second graph style identifying the strength of the selection criteria for use in a fraud detection rule.