Sometimes you end up with a dataset that that has plenty of hidden information that you can discover using clustering algorithms. Using the Electricity
dataset (detailed in Q4), implement a K-Means clustering algorithms, based on the price and demand of NSW users. Provide a visual output of the resulting clusters for each group of users. Provide commentary on whether the clustering could be used in real life or not and provide reasoning.[10 marks]
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Note: You may use Sklearn or any equivlant packages provided they are within the standard Anaconda installation
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