Assegna la percentuale di sconto

La società Furniture sta lanciando una campagna promozionale con sconti imperdibili per chi acquista in grandi quantità! Ecco l'offerta:

Un super sconto del 10% se acquisti più di 40 articoli.
Un solido sconto dell'8% per acquisti tra 25 e 40 articoli.
Uno sconto del 5% se acquisti meno di 25 articoli.

Hanno bisogno del tuo aiuto per aggiungere una nuova colonna chiamata Discount% e riempirla con la percentuale di sconto corretta in base alla quantità acquistata.

Se hai perso i progressi, apri il tuo Local space, clicca sulla cartella data-transformation-in-knime e carica il workflow 1_3_assign_discount.

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Trasformazione dei dati in KNIME

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Trasformazione dei dati in KNIME

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In this chapter, you will learn how to split columns based on cell values, allowing you to separate combined data into more manageable parts. Next, you will explore the use of conditional statements for data transformation, enabling you to apply specific rules to your dataset. Additionally, you will learn how to use logical operators to formulate logical conditions. Finally, you will discover how to rename one or multiple columns, ensuring your dataset is well-organized and easy to understand.

Exercise 1: Istruzioni condizionali e operatori logici Exercise 2: Assegna il valore di inflazione Exercise 3: Arricchisci i dati degli studenti Exercise 4: Dividi in città e quantità Exercise 5: Rinomina colonne Exercise 6: Assegna la percentuale di sconto

Esercizio in corso

Delve into Expression- Based Data Transformation, a crucial skill for data manipulation. This lesson covers understanding and utilizing string expressions for various string manipulations. Additionally, you will master mathematical expressions using formulas and operators, enabling them to create custom columns tailored to their needs. The chapter culminates with the ability to build mixed expressions that seamlessly combine mathematical and string expressions, providing a comprehensive toolkit for advanced data transformation.

Exercise 1: String and math expressions Exercise 2: Calculate the bill value of Items Exercise 3: Calculate student scores Exercise 4: Convert sales column to numeric Exercise 5: Calculate discount value Exercise 6: Calculate profit

Learn how to append and merge columns from multiple tables, enabling you to consolidate data from various sources. Discover how to add constant value columns and reorder columns to customize your dataset layout. Finally, delve into sorting tables by specifying a list of criteria, ensuring your data is organized and easily accessible for analysis. These skills will enhance your data management proficiency, making complex datasets more manageable and insightful.

Exercise 1: Data integration Exercise 2: Find the most expensive food item Exercise 3: Integrate and analyze students data Exercise 4: Append and merge columns Exercise 5: Add date and reorder columns Exercise 6: Sort the table

This final chapter focuses on enhancing KNIME workflows by adding detailed descriptions and tags to represent their themes. Further, learn how to abstract workflow segments into reusable KNIME components, bundle functionality, and add visual elements for better usability. Lastly, learn to share your workflows and components on the KNIME Community Hub, ensuring they are valuable and accessible to the community.

Exercise 1: Share workflows & collaborate Exercise 2: Component characteristics Exercise 3: Share & collaborate student's workflow Exercise 4: Add workflow details Exercise 5: Create component Exercise 6: Sharing the component Exercise 7: Course wrap up