Making Data Analytics for the Mining Industry Simple with MATLAB

version (277 KB) by David Willingham
Highlights automatically importing assay text data, perform basic statistics & visualization


Updated 1 Sep 2016

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Is the analysis and presentation of your data becoming increasingly time consuming, complex and expensive?
Trying to build your customised analytics and graphics within Excel can mean that you compromise on the accuracy of your model, or the amount of data you are able to analyse and present. Trying to overcome these limitations via programming languages such as VBA, Java, or C can involve huge investments of time, and means you have to focus on programming rather than analysis and presentation of results.

Using a mining industry case study showing assay data, we will demonstrate how you can use MATLAB® to:

Access datasets from many sources including Excel, text files, databases and devices
Easily re-structure and manipulate data
Automate analysis and custom visualisation of your data
Share results and reports quickly and easily with your colleagues
Create, compile and share analytics applications easily through MATLAB “Apps”.

Cite As

David Willingham (2022). Making Data Analytics for the Mining Industry Simple with MATLAB (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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