Data Mining
Select 2 topics from the 6 below an discuss them in detail: teaching it to your classmates as though they had never read the chapters. and you can use bullet points.
1-Explain why you use data visualization in the data mining process.
2-Describe and explain when and how to use bar charts, line graphs, scatter plots, boxplots, histograms, and heatmap.
3-Describe and explain multidimensional visualization by adding variables and by operations such as rescaling, aggregation, and interactivity.
4-Explain why dimension reduction is a necessary step in the data mining process?
5-Explain how to Reduce the Number of Categories in Categorical Variables.
6-Explain how to use principal components analysis (PCA) for dimension reduction. Cover the breakfast cereals example in detail, including how the PCA works, why and when you need to normalize data, and how to use PCA for classification and prediction.
