Once you have opened a data set, ILOG Discovery proposes you to create a "parallel coordinates" view. Parallel coordinates give you a first overall glimpse of your data set if it consists of numerous numerical and/or enumerated variables. These visualizations let you immediately spot the general distribution of each variable, find out if you have some outliers or missing data, and quickly detect possible correlations between variables. The data table is presented as follows:

Hence, you have a full picture of your data table, even if it contains tens of thousands of objects. You can immediately figure out where are high values and low values for each columns. But through interactive manipulation, you view data values and rearrange rows and columns in much more revealing ways.

The terminology and first practical uses of Parallel coordinates were proposed in 1981by Inselberg.

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