Association Rules-identifying frequently purchased groceries with association rules. market basket analysis will utilize the purchase data collected from one month of operation at a real-world grocery store. The data contains 9,835 transactions or about 327 transactions per day (roughly 30 transactions per hour in a 12-hour business day), suggesting that the retailer is not particularly large, nor is it particularly small. The typical grocery store offers a huge variety of items.
The cluster Analysis is performed on the SNS dataset.Clustering with k-means can be applied by identifying groups. Clustering can automate the process of discovering the natural segments in this population. However, it will be up to us to decide whether or not the clusters are interesting and how we can use them for advertising. SNS dataset representing a random sample of 30,000 U.S. high school students who had profiles on a well-known SNS in 2006.
Following is the Logistic Regression analysis of the Challenger data.
Example: Space Shuttle Launch Data —-
launch <- read.csv("C:/Users/Bhawna/Documents/blog/data/challenger.csv")
examine the launch data
str(launch)
