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It makes data visualisation simple, but also easily customizable, by letting you modify all types of encodings (colours, shapes, projections, opacity, stroke, etc.) with little effort using the same grammar. \n\nThis focus on simplicity and expressiveness lets us potentially create many visualisations on different facets of the data, showcasing patterns and relationships present in the data that could showcase interesting insights. \n\nThis is an intermediate-level course. You will need some familiarity with basic data visualisations and JavaScript. Some experience with programming (in any language) is also beneficial. If you would like to familiarize yourself with JavaScript prior to the course, you may want to work through part of the [W3Schools JavaScript guides](https://www.w3schools.com/js/) and this [intro](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Introduction).\n\n\n## Author\nAlexis Pister\n\n## License\n\nThis repository has a [![License: CC BY-NC 4.0](https://licensebuttons.net/l/by-nc/4.0/80x15.png)](https://creativecommons.org/licenses/by-nc/4.0/) license\n\n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcs-training%2Fexploratory-data-analysis-and-visualisation-with-observable-plot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdcs-training%2Fexploratory-data-analysis-and-visualisation-with-observable-plot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcs-training%2Fexploratory-data-analysis-and-visualisation-with-observable-plot/lists"}