Using Parallel Coordinate Plot for variable selection

For detecting critical parameters, we can transform the problem into high-dimensional data problem. The parallel coordinate plot is good for high dimensions visualization. But it's lack of index for point out which variable is important. One can use this plot as first filtering method.



For construct above chart, we put the response variable in the first column, and sorting the data by the response variable, use different colors by grouping the data for easier detect.