In this tutorial, Dr. Padilla delves into Vega-Lite's grammar of graphics, elucidating how this high-level visualization tool uses systematic grammar-like rules to transform data into intuitive visual stories. Drawing parallels to sentence formation in English, Dr. Padilla highlights the importance of foundational components in Vega-Lite, such as data (the data source), transforms (data manipulations), mark types (geometric objects that visually represent data), and encodings (visual properties modifying the mark types, akin to CSS for visualizations). Using an illustrative temperature plot contrasting New York and Seattle, viewers are guided through the process of deconstructing a visualization into its key components. By mastering the combination and layering of these elements, users can produce diverse, meaningful visualizations with Vega-Lite. The tutorial concludes with a nod to upcoming sessions on user interactions within Vega Lite's grammar, urging viewers to continue refining their visualization expertise.