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.
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Questo esercizio fa parte del corso
Cleaning Data in Java
Istruzioni dell'esercizio
- Find expensive items (
Unit_Price> $5.00). - Calculate the total
Stock_Quantityfor each category. - Group results by
Category.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
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));
}
}