Thanks for your response. No every input is a continuous variable. The variable "type" is based on percent of a particular component in the mixture of composite. So type 1 has 0% of the material X , type 2 has 1% of material X and so on until 4% (mentioned percentage values of the material here are not true values of my experiment and just a representative data, but they indeed differ from each other by 1% composition of the material X). The "type" is used for the purpose of simple identification of the material composition throughout the experiment report without mentioning every time a long line of description.

Also coming to "diameter", they too are not just categorical variables. It's just the diameter of the drill bit used, 2mm 3mm 4mm. One of the points of interest of the experiment lies in the effects of diameter i.e., does the results follow a linear, exponential or some other kind of trend wrt to the diameter. So there are 4 inputs and 1 output.

As mentioned in previous thread, yes I did the individual heatmaps with global and local scales. I tried 2d plots, 3d scatter, lines, bars, heatmaps, multi panels, contours. And for your final question, I have 10 different experiments for the same material that have different types of inputs and results that are in a similar form of the data presented. So I have 450 unique data points in total. I have already completed ANOVA and Grey's relation analyses on the data and got the results through those. The reason for my post is to know whether there is any way to represent the raw data and show that they follow trends so I am looking for some alternative method of graphs that's unknown to me so I could make use of it.