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In this comprehensive video tutorial, Dr. Padilla dives deep into the art and science of data visualization using Vega-Lite. She underscores the importance of 'encodings', the visual attributes that not only enhance the meaning of your visualization but also let you infuse creativity into it. Utilizing an Observable notebook and leveraging a NASA dataset on global temperature abnormalities, Dr. Padilla demonstrates how to utilize a plethora of encoding channels ranging from position, size, color, opacity, to more nuanced ones like shape and tooltips. Viewers also receive hands-on guidance on tweaking aesthetics, optimizing color palettes, and organizing data effectively for maximum comprehension. As she meticulously crafts her visualizations, Dr. Padilla emphasizes the nuances of decision-making in encoding choice, ensuring that viewers are equipped with the skills to create expressive, accurate, and engaging visualizations. 00:00 Intro 01:00 Setup 01:19 Point Plot 03:17 Adding Year 04:01 Size 04:36 Opacity 05:15 Width 05:47 Fill 07:01 Diverging Color 08:12 Custom Color 09:00 Shape 09:32 Tooltip 10:13 Small Multiples 11:15 Sort Dataset used in this tutorial: https://github.com/lacepadilla/classd... Observable: The notebook used in this tutorial: https://observablehq.com/d/7e3e9ddb0a... Official website for creating notebooks and exploring reactive programming: https://observablehq.com/ Vega-Lite: Official documentation: https://vega.github.io/vega-lite/docs/ GitHub repository for Vega-Lite: https://github.com/vega/vega-lite