1. A computerized method for data analysis, comprising the steps of: inputting into a computer a set of data representing historical operating parameters of an industrial process; selecting a dependent variable and at least one independent variable within said set of data, the dependent variable representing a condition related to the industrial process; identifying a plurality of data sampling periods; collecting dependent variable data and independent variable data from said set of data for each of said data sampling periods; for each said independent variable, calculating a plurality of distribution breakpoints, the distribution breakpoints defining a plurality of distribution sets of said data sampling periods; for each said distribution set of said data sampling periods, calculating an average value of said dependent variable data and calculating an average value of said independent variable data; and for each said independent variable, creating and displaying on said computer a graph relating said average value of said dependent variable data to said average value of said independent variable data; wherein said graph aids in determining a causal relationship between at least one of said independent variables and the condition.