Questions (a) Above data provided, design an appropriate graphical display. Comment on the pattern observed.

(b) above is the list of 6 virtual locations, select 2 groups of virtual gamers random

(c) Perform a simple version of market segmentation through Cluster Analysis. Use K-Means cluster analysis with k=2

Business Case: Market Segmentation Data Analytics Internet gaming has become more popular. Players play virtually without being in any physical location. The internet gaming has become an attractive business opportunity where game developers and companies sell game tokens. A business consultant has been commissioned to study the relationship of clusters of virtual games from different locations to the amount of money spent on tokens based on different game sets (level of difficulties). The consultant intends to use a reuse case from this clustering activity as a method to develop unsupervised machine learning. K-means is a data clustering approach for unsupervised machine learning that can separate unlabeled data into a predetermined number of disjoint groups of equal variances - clusters based on their similarities. Based on the case above and dataset below, develop a K- means cluster. Use 2 means and Euclidean estimates. \begin{tabular}{|c|c|c|c|c|} \hline & \multicolumn{4}{|c|}{ Average Points Purchase } \\ \hline & Game1 & Game2 & Game3 & Game4 \\ \hline Location 1 & 5.1 & 3.5 & 1.4 & 0.2 \\ \hline Location 2 & 4.9 & 3 & 1.4 & 0.2 \\ \hline Location 3 & 7 & 3.2 & 4.7 & 1.4 \\ \hline Location 4 & 6.4 & 3.2 & 4.5 & 1.5 \\ \hline Location 5 & 6.3 & 3.3 & 6 & 2.5 \\ \hline Location 6 & 5.8 & 2.7 & 5.1 & 1.9 \\ \hline \end{tabular}