1. Introduction
2. Why data mining is important
3. Relationship visuals
4. Parts to whole visuals
5. Visual data mining
6. Scenario World happiness index
7. Clustering and visualizing associations in data
8.1 data mining - correlation plot.zip
8. Exercise Exploring relationships with correlation plot
9.1 world health.zip
9. Exercise K-means clustering unsupervised learning
10.1 sales report - decomposition tree.zip
10.2 WA Fn-UseC -Telco-Customer-Churn.csv
10. Exercise Root cause analysis with decomposition tree
11.1 WA Fn-UseC -Telco-Customer-Churn.csv
11. Exercise Hidden insights with key influencers
12.1 Crimes - 2001 to Present.zip
12. Exercise Analytics dashboard - Chicago crime
13.1 health and wealth.zip
13. Exercise Smoothing data points
14.1 data mining - health and wealth.zip
14.2 world health spline.zip
14. Exercise Boxplot analysis