I created this Barplots for the question in 8. Let’s take a look at the variables from the dataset, and explore the way that they might impact attended. Using your training set data only, make a proportional barplot for each one of your prospective input variables. Each barplot should show one of your input variables as a category on the x-axis, with attended as the fill variable. You should build proportional barplots (you can achieve this by adding position=”fill” inside your geom layer). a. Based on the barplots that you see here, select any variable(s) that seem like they will not have a strong amount of predictive power in a naive Bayes model. Drop any such variable.

1. Configure the library and Load the data file 2. Explore the structure of the data set 3. About Dataset and Dataset source and Dataset summary and analysis 4. Data cleaning 5. Data Exploration and Insights 6. Reservation Pattern Analysis 7. Logistic regression