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.
Latihan ini merupakan bagian dari kursus
Cleaning Data in Java
Instruksi latihan
- Find expensive items (
Unit_Price> $5.00). - Calculate the total
Stock_Quantityfor each category. - Group results by
Category.
Latihan interaktif langsung praktik
Cobalah latihan ini dengan melengkapi kode contoh ini.
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));
}
}