Making a table with the Base R xtabs function

Before we move onto the core of the topic, let us understand a few of the important components.

Here is a list of some key components of a pivot table:

• Rows and columns: Pivot tables typically involve two primary components – rows and columns. The data rows contain individual records or observations, while the columns contain the attributes or variables that define those records.
• Values: Pivot tables allow users to aggregate and summarize data by calculating values based on specific metrics, such as sum, average, count, or percentage.
• Filters and slicers: Filters and slicers enable users to focus on specific subsets of data within the pivot table, enhancing the granularity of analysis. These tools are especially useful when dealing with large datasets.
• Row and column labels: Pivot tables allow users to drag and drop attributes into row and column labels, defining the layout and structure of the table dynamically...