2b:null 2c:["$","title",null,{"children":"Hands-on Tutorials | Pablo Navarro | Observable"}] 31:[] 2f:{"id":"286db0af66bc82f2","slug":null,"title":"Hands-on Tutorials","thumbnail":"15881ef5677be795561f670d11f39c3c016b84f4139f306b860fc9636499ba32","access_level":"public","create_time":"$D2022-11-04T22:50:31.937Z","update_time":"$D2022-11-04T22:50:31.937Z","view_time":null,"first_public_time":"$D2022-11-04T22:50:31.937Z","fork":{"id":"21c6708306225f75","slug":"hands-on-tutorials-overview","title":"Hands-on tutorials","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"stars":0,"starred":false,"owner":{"type":"team","id":"5fc41e8c4b58e61f","login":"pnavarrc","name":"Pablo Navarro","avatar_url":"https://avatars-next.observableusercontent.com/8e06bdd9c325982a0b81eaddcc1c618c8fa2c1364ab5424a0236d83795cc0efc","tier":"starter_2024"},"version":90,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"e63e4904459ca8c7","login":"pnavarrc","name":"Pablo Navarro","avatar_url":"https://avatars-next.observableusercontent.com/8e06bdd9c325982a0b81eaddcc1c618c8fa2c1364ab5424a0236d83795cc0efc","tier":null}],"members":[{"type":"individual","id":"e63e4904459ca8c7","login":"pnavarrc","name":"Pablo Navarro","avatar_url":"https://avatars-next.observableusercontent.com/8e06bdd9c325982a0b81eaddcc1c618c8fa2c1364ab5424a0236d83795cc0efc","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":{"id":"6402b079c992773f","slug":"learning-observable","title":"Learning Observable","owner":{"id":"5fc41e8c4b58e61f","login":"pnavarrc","name":"Pablo Navarro"}},"type":"notebook","body":{"title":"Hands-on Tutorials","cells":[{"id":0,"value":"# Hands-on Tutorials\n## An overview\n\nBuild your own analysis in Observable using our guided tutorials. These walkthroughs will show you how to connect data, build visualizations and share your results.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":8,"value":"\n## Table of Contents\n\n - [Build Your First Custom Scatterplot](https://observablehq.com/@observablehq/build-your-first-custom-scatterplot)\n - [Analyzing revenue by category for an online store](https://observablehq.com/@observablehq/analyzing-revenue-by-category-for-an-online-store?collection=@observablehq/tutorial)\n - [Learn Just Enough Javascript](https://observablehq.com/@observablehq/learn-javascript-introduction?collection=@observablehq/learning-javascript-for-data-scientists)\n - [Exploratory Data Analysis workshop materials](https://observablehq.com/@observablehq/eda-workshop-materials)\n - [Timeseries Analysis workshop materials](https://observablehq.com/@observablehq/timeseries-workshop-materials)\n - [A Taste of Observable](https://observablehq.com/@observablehq/a-taste-of-observable)\n - [Observable Templates](https://observablehq.com/@observablehq/introducing-observable-templates)\n\n---","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":28,"value":"### [Build Your First Custom Scatterplot](https://observablehq.com/@observablehq/build-your-first-custom-scatterplot)\n\nIn a few minutes, learn how to import data from an Excel file and visualize with Plot. \n\n\n\n
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":52,"value":"### [Learn Just Enough Javascript](https://observablehq.com/@observablehq/learn-javascript-introduction?collection=@observablehq/learning-javascript-for-data-scientists)\n\nObservable is a JavaScript-based tool, and JavaScript is integral to building great work on the platform. This tutorial goes through *just enough* concepts to get you ready to work in Observable.\n\n
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":84,"value":"### [Analyzing revenue in an online store](https://observablehq.com/@observablehq/analyzing-revenue-by-category-for-an-online-store)\nLearn how to use SQL and Plot together to quickly make an interactive report on revenue for an online store.\n\n\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":32,"value":"### [Exploratory Data Analysis workshop materials](https://observablehq.com/@observablehq/eda-workshop-materials)\n\nThis workshop introduces a browser-based data analysis workflow on Observable using Observable Plot. It covers loading, visualizing, and interacting with data.\n\n\n\n
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":42,"value":"### [Timeseries Analysis workshop materials](https://observablehq.com/@observablehq/timeseries-workshop-materials)\n\nThis three-part hands-on tutorial is based on the techniques and concepts put forth in the [Analyzing Time Series Data](https://observablehq.com/@observablehq/analyzing-time-series-data?collection=@observablehq/analyzing-time-series-data) articles. Each part guides you through implementing essential data visualization techniques for time series analysis.\n\n\n\n
","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":76,"value":"### [A Taste of Observable](https://observablehq.com/@observablehq/a-taste-of-observable)\nA quick hands-on tour showing you how to use and edit notebooks with some basic examples.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":67,"value":"### [Observable Templates](https://observablehq.com/@observablehq/introducing-observable-templates)\n\nAt Observable, we believe that business outcomes and decision-making can be greatly improved if everyone in a team can work with data and gain insights, together. The Observable platform provides a rich, collaborative canvas to explore data and create interactive visuals. But not everyone wants to start from scratch! These templates allow you to quickly get up and running with reports, data connections, and more.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"}],"files":"$W31","stdlib":"1","titling":"auto"}} 30:"$2f:body"