Making Data Analytics for the Mining Industry Simple with MATLAB
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”.
Citar como
David Willingham (2024). Making Data Analytics for the Mining Industry Simple with MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/40165-making-data-analytics-for-the-mining-industry-simple-with-matlab), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Descriptive Statistics and Visualization >
- AI, Data Science, and Statistics > Text Analytics Toolbox >
- Sciences > Material Sciences > Metals >
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