CommencerCommencer gratuitement

Aggregating columns

You need to clean and analyze your stock data to understand high-value inventory patterns. Raw inventory data often includes irrelevant items and needs organization by category. Clean the data by filtering for expensive items (over $5), then calculate accurate totals, and organize by category. This cleaned and summarized view helps identify which departments have the most investment in premium products.

tablesaw packages have been imported for you.

Cet exercice fait partie du cours

Cleaning Data in Java

Afficher le cours

Instructions

  • Find expensive items (Unit_Price > $5.00).
  • Calculate the total Stock_Quantity for each category.
  • Group results by Category.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

public class GroceryDataAggregation {
    public static void main(String[] args) {
        Table inventory = Table.read().csv("grocery_inventory.csv");

        Table quantityByCategory = inventory
                // Find expensive items (price > $5.00)
                .where(inventory.doubleColumn("Unit_Price").____(5.0))
                // Calculate total stock for each category
                .____("Stock_Quantity", ____)
                // Group results by product category
                .____("Category");

        System.out.println("Total quantity by category:");
        System.out.println(quantityByCategory.first(5));
    }
}
Modifier et exécuter le code