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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.

Este exercício faz parte do curso

Cleaning Data in Java

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Instruções do exercício

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

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

import tech.tablesaw.api.DoubleColumn;
import tech.tablesaw.api.Table;

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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