It is not possible to see patterns of significance in such tables of raw data. You can see spot highs, but not the associations between minerals.
Those tables should have been broken down by multivariate data reduction methods such as principal components analysis. The method of PCA is commonplace in all areas of knowledge. Then we might have been able to see what's what, instead of staring at 63 pages of numbers.
See Application of principal component analysis and cluster analysis to mineral exploration and mine geology.
"Large datasets are routinely collected during mineral exploration and mining of ore bodies. These datasets often reach a size, or complexity, that makes it difficult to visualise their structure, let alone convert this structure into meaningful knowledge that is useful to the exploration or mining geologist."
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