1. A method executed by a computer of visually analyzing data, comprising: receiving, by the computer, selection of at least one focus area in a visualization of a data set; based on characteristics of the selected at least one focus area, the computer using at least one analytic technique to mine relationships between data items and at least one attribute in the selected at least one focus area and data items and at least one attribute in remaining portions of the data set, wherein mining relationships between the focus area and the remaining portions of the data set comprises computing relevance measures between the focus area and the remaining portions of the data set; and generating, by the computer, at least one visual representation to show mining results produced from selected data items and one or more attributes in the selected at least one focus area and the remaining portions of the data set, wherein the generated visual representation is composed to have an order and layout to represent the mined results, wherein the order and layout positions data items of the remaining portions in the generated visual representation in relative proximity to the selected data items according to the relevance measures.