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Analyzing numeric columns

You have already identified missing values and unique entries in your grocery inventory dataset. Now you need to understand the pricing patterns in your inventory by analyzing the Unit_Price column. Calculate basic statistical measures like minimum, maximum, mean, and standard deviation of product prices.

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Questo esercizio fa parte del corso

Cleaning Data in Java

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Istruzioni dell'esercizio

  • Extract the Unit_Price column.
  • Compute the min and max of Unit_Price.
  • Compute the mean and standard deviation of Unit_Price.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

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

        // Extract the unit price column
        DoubleColumn price = ____.____("Unit_Price");
        System.out.println("Stock Quantity Statistics:");

        // Compute the min and max of unit price
        System.out.println("Min: " + price.____());
        System.out.println("Max: " + price.____());

        // Compute the mean and standard deviation of the unit price
        System.out.println("Mean: " + price.____());
        System.out.println("Standard deviation: " + price.____());
    }
}
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