JKISeason 4-18 - Eurovision Insights

<p><strong>Challenge 18: Eurovision Insights</strong></p><p><strong>Level: </strong>Easy<br><br><strong>Description: </strong>Eurovision is full of surprises—not just in performances but also in how different countries score. A song might be a fan favorite with high televote support yet receive low jury points, or certain musical styles might consistently have higher energy levels than others. In this challenge, you'll explore key aspects of Eurovision scoring and song characteristics using KNIME. Look at the dataset and answer these questions:<br>- Which country had the biggest gap between <em>final_televote_points</em> and <em>final_jury_points</em>?<br>- Among all songs that qualified for the final (<em>qualified_10</em> = 1), which style has the highest average BPM?<br><br><em>Beginner-Friendly Objectives:</em><br>1. Learn how to import a CSV file into KNIME;<br>2. Perform calculations between columns;<br>3. Sort a table using a specific criterion; and<br>4. Convert string into number data type.<br><br><strong>Author: Michele Bassanelli</strong><br><br><strong>Dataset:</strong> <strong>Eurovision data on KNIME Community Hub</strong><br><br>Remember to upload your solution with tag&nbsp;<strong>JKISeason4-18</strong>&nbsp;to your public space on KNIME Community Hub. To increase the visibility of your solution, also post it to&nbsp;<strong>this challenge thread</strong>&nbsp;on KNIME Forum.</p>