Limpieza de datos en Java
Dennis Lee
Software Engineer
| Books | Authors | Language | First_Published | Sales_in_Millions | Average_Price |
|---|---|---|---|---|---|
| A Tale of Two Cities | Charles Dickens | English | 1859 | 200.0 | 12.99 |
| The Little Prince (Le Petit Prince) | Antoine de Saint-Exupéry | French | 1943 | 200.0 | 15.50 |
| Harry Potter and the Philosopher's Stone | J. K. Rowling | English | 1997 | 120.0 | 19.99 |
| And Then There Were None | Agatha Christie | English | 1939 | 100.0 | 14.95 |
import tech.tablesaw.api.Table;
import tech.tablesaw.selection.Selection;
Table books = Table.read().csv("bestsellers.csv"); // Condición para libros con ventas > 70M Selection highSales = books.intColumn("Sales_in_Millions").isGreaterThan(70);// Condición para libros escritos en inglés Selection english = books.stringColumn("Language").isEqualTo("English");// Condición para libros publicados después de 1950 Selection recentlyPublished = books.intColumn("First_Published").isGreaterThan(1950);// Similar: .isLessThan(), .isLessThanOrEqualTo(), .isGreaterThanOrEqualTo()
// Filtra con una única condición directamente books.where(books.intColumn("Sales_in_Millions").isGreaterThan(70));// Filtra usando una Selection predefinida books.where(highSales);// Combina varias condiciones con .and() Table popular = books.where(highSales) // Ventas > 70M .and(english) // Idioma inglés .and(recentlyPublished); // Después de 1950 .sortDescendingOn("Sales_in_Millions"); // Ordena por Sales_in_Millions System.out.println("Modern high-revenue English books:\n"); System.out.println(modern.select("Books", "First_Published", "Total_Revenue"));
Modern high-revenue English books:
| Book | Sales_in_Millions | First_Published |
|------------------------------------------|-------------------|-----------------|
| Harry Potter and the Philosopher's Stone | 120 | 1997 |
| The Da Vinci Code | 80 | 2003 |
| Harry Potter and the Chamber of Secrets | 77 | 1998 |
// Importa la función para calcular la media
import static tech.tablesaw.aggregate.AggregateFunctions.mean;
Table overallMean = books.summarize("Sales_in_Millions", mean).apply();
System.out.println("\nOverall mean sales: \n" + overallMean);
Overall mean sales:
| Mean [Sales_in_Millions] |
|---------------------------|
| 73.03225806451614 |
// Calcula las ventas medias por cada grupo de idioma (p. ej., English, French, etc.) Table salesByLanguage = books.summarize("Sales_in_Millions", mean) // Calcula medias.by("Language"); // Divide por idioma // Muestra los 5 primeros grupos de idioma System.out.println("Average sales by language:\n"); System.out.println(salesByLanguage.first(5));
Average sales by language:
| Language | Mean [Sales_in_Millions] |
|------------|--------------------------|
| English | 69.96 |
| French | 200.0 |
| Chinese | 100.0 |
| Portuguese | 65.0 |
| Spanish | 50.0 |
import static tech.tablesaw.aggregate.AggregateFunctions.sum;
// Filtra y resume ventas por idioma Table bestsellersByLanguage = books // Selecciona libros posteriores a 1950 .where(books.intColumn("First_Published").isGreaterThan(1950))// Calcula ventas totales .summarize("Sales_in_Millions", sum)// Agrupa los resultados por idioma .by("Language"); System.out.println("Modern bestsellers (post-1950) by language:\n"); System.out.println(bestsellersByLanguage);
Modern bestsellers (post-1950) by language:
| Language | Sum [Sales_in_Millions] |
|------------|-------------------------|
| English | 1071 |
| Portuguese | 65 |
| Spanish | 50 |
| Italian | 50 |
books.where(sales.isGreaterThan(150)); // Filtrado básico con una sola condición
books.where(highSales.and(english)); // Varias condiciones: combina con .and()
// Agregación básica
books.summarize("Sales_in_Millions", mean) // Calcula medias
.by("Language"); // Agrupa por idioma
// Operaciones combinadas
books.where(books.intColumn("First_Published").isGreaterThan(1950)) // Filtra
.summarize("Sales_in_Millions", mean) // Luego resume
.by("Language"); // Finalmente agrupa
Limpieza de datos en Java