Final answer:
Sum, Avg, and Max are aggregate functions used in data analysis. It is used to compute total, average, and maximum values in a column, respectively, simplifying the interpretation of large datasets.
Step-by-step explanation:
Sum, Avg, and Max are examples of aggregate functions that are used to evaluate entire columns of data. These functions allow us to perform calculations over a set of values to return a single value. For instance, Sum calculates the total of numerical data in a column, Avg (average) computes the central tendency of the data—usually, the arithmetic mean, and Max identifies the highest value in the column. These aggregate functions are vital tools in data analysis, statistics, and also in the management of databases, such as SQL, where such functions are commonly used to query large datasets.
It can include the use of these functions in various real-world scenarios. For example, a business might use the Sum function to calculate total sales, the Avg function to find the average sales per day, and the Max function to determine the highest sales made in a period. Understanding these functions and knowing when to apply them can help students analyze data effectively and make the interpretation of large datasets manageable.