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Filtering columns

As a grocery inventory analyst, you need to clean your inventory data to identify perishable items at risk of spoilage. Raw inventory data often includes irrelevant categories and inaccurate stock levels. To clean this data, you'll filter for the "Fruits & Vegetables" category and high stock levels (over 50 units). This process removes non-perishable items and low-stock products, giving you a clean dataset of fruits and vegetables with potential oversupply issues. By cleaning and focusing your data, you can quickly identify which perishable items need immediate attention.

Deze oefening maakt deel uit van de cursus

Cleaning Data in Java

Cursus bekijken

Oefeninstructies

  • Check if the integer column Stock_Quantity is greater than 50.
  • Check if the string column Category is equal to Fruits & Vegetables.
  • Filter inventory by highQuantity.
  • Add a filter condition for fruitsAndVegetables.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

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

        // Check if the integer column is greater than 50
        Selection highQuantity = inventory.____("Stock_Quantity").____(50);
        // Check if the string column is equal to Fruits & Vegetables
        Selection fruitsAndVegetables = inventory.____("Category").____("Fruits & Vegetables");

        // Filter inventory by highQuantity
        Table highQuantityTable = inventory.____(highQuantity
                // Add a filter for fruitsAndVegetables
                .____(fruitsAndVegetables))
                .sortDescendingOn("Stock_Quantity");

        System.out.println("High quantity fruits and vegetables:");
        System.out.println(highQuantityTable.selectColumns("Product_Name", "Stock_Quantity").first(10));
    }
}
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