40:null 41:["$","title",null,{"children":"Course: Data Visualization Fundamentals and Best Practices | cube | Observable"}] 47:T943,slide_style = html``48:[{"id":"d57ede07b6fa0f03ab4f0bc43ae802e6e1cbd93ec9e64f57a9615ee4556dab0b95aeab51d4e13a6c0ea0cac58322ca3b4b1cd99a342d836c993ec3d56b02ccf8","href":"https://static.observableusercontent.com/files/d57ede07b6fa0f03ab4f0bc43ae802e6e1cbd93ec9e64f57a9615ee4556dab0b95aeab51d4e13a6c0ea0cac58322ca3b4b1cd99a342d836c993ec3d56b02ccf8","name":"robertkosara.jpeg","type":"image/jpeg","lastModified":1679416360398.797,"size":87790}] 45:{"id":"4a60b031b770dcaf","slug":null,"title":"Course: Data Visualization Fundamentals and Best Practices","thumbnail":"87ea0740544e48829b393b59d226eb405f3da1b5a697a27827d9b414616ca147","access_level":"public","create_time":"$D2023-03-21T16:32:40.398Z","update_time":"$D2023-03-21T16:32:40.398Z","view_time":null,"first_public_time":"$D2023-03-21T16:32:40.398Z","has_unpublished_edits":null,"fork":{"id":"def0ecec57f20f13","slug":"datavizcourse","title":"Course: Data Visualization Fundamentals and Best Practices","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"stars":0,"starred":false,"owner":{"type":"team","id":"da55dabfe61adc7a","login":"thedataareclean","name":"cube","avatar_url":"https://avatars-next.observableusercontent.com/9c2a4fffa56f00e3fe297ee387e63c4bb4eaad889d584f4f0fdc9872de7d1b3e","tier":"starter_2024","bio":"","following":false},"version":543,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"67ac5cf5ec6dfc1a","login":"thedataareclean","name":"cube","avatar_url":"https://avatars-next.observableusercontent.com/9c2a4fffa56f00e3fe297ee387e63c4bb4eaad889d584f4f0fdc9872de7d1b3e","tier":null,"bio":"","following":false}],"members":[{"type":"individual","id":"67ac5cf5ec6dfc1a","login":"thedataareclean","name":"cube","avatar_url":"https://avatars-next.observableusercontent.com/9c2a4fffa56f00e3fe297ee387e63c4bb4eaad889d584f4f0fdc9872de7d1b3e","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"25fbc2af9f979992","slug":"data-visualisation-fundamentals","title":"Data Visualisation Fundamentals","owner":{"id":"da55dabfe61adc7a","login":"thedataareclean","name":"cube"}},"type":"notebook","body":{"titling":"auto","title":"Course: Data Visualization Fundamentals and Best Practices","cells":[{"id":27,"value":"\n

\n
\n

Course: Data Visualization Fundamentals and Best Practices \n

\nInstructor
\nRobert Kosara,
\nData Visualization Developer at Observable

\n\n

\nDates and times
\n March 7th, 9th, 14th, 16th, 21st
\n at 9:00 AM PST / 12:00 PM EST
\n

\n\n

\n \n

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":0,"value":"\n# Course Description\nWhen do you use a bar chart over a line chart? What are area charts good for? What's wrong with pie charts? Learn about how these different types of data visualization work, and how they're used, in Observable's first data visualization course! Attend lectures (or watch them later), ask questions, and once you've completed a small assignment at the end, you'll earn a certificate.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"## What you'll learn\nWith Observable Plot, you can build data visualizations in half the time it takes in other tools. And, we’re here to show you how. \nIn this course, you’ll learn:\n- Basic chart types, how they differ, and when to use them.\n- The best charts for the data you’re working with and the questions you want to answer.\n- When and how to use aggregations, such as binning and smoothing.\n- The difference between using charts for exploration and analysis vs. presentations.\n- How to add interactive features to your charts.\n___\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":483,"value":"details(md`### Introduction: [Lesson 1](https://observablehq.com/d/fa16a9680714478d?collection=@observablehq/data-vis-course) \n** March 7th **\n- What is visualization?\n- Types of data\n- Basic chart types`,\nmd`### Data representation: [Lesson 2](https://observablehq.com/@observablehq/lesson-2-data-representation)\n** March 9th **\n- How do we pick a chart type?\n- Chart type and the way we think about data\n- Data exploration, explanation, presentation`,\n\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":496,"value":"details(\nmd`### Comparisons: [Lesson 3](https://observablehq.com/@observablehq/datavis-course-lesson-3-comparisons?collection=@observablehq/data-vis-course)\n** March 14th **\n- Facets and small multiples\n- Multiple axes and grouped charts\n- Index charts`,\nmd`### Transformations: [Lesson 4](https://observablehq.com/@observablehq/datavis-course-lesson-4-transformations?collection=@observablehq/data-vis-course)\n** March 16th **\n- Binning and histograms\n- Smoothing, window functions\n- Grouping, hierarchies`,\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":501,"value":"details(\nmd`### Interaction\n** March 21st **\n- Filtering\n- Highlighting/brushing\n- Further pointers`,\nmd`### Assignment\n** Due April 4th **\n`,\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"___\n## Course Format\n- 5x 1-hour live meetup\n- 45 minutes of content\n- 15 minutes Q&A\n- An assignment to complete at the end of each course","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":530,"value":"

\n\n

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":145,"value":"___\n## Prerequisites:\n- Observable account ([sign-up](https://observablehq.com/login?screen=signup)) \n- Basic knowledge of JavaScript (complete [Just Enough JavaScript](https://observablehq.com/@observablehq/learn-javascript-introduction?collection=@observablehq/tutorial))\n- Read through [A Taste of Observable](https://observablehq.com/@observablehq/a-taste-of-observable?collection=@observablehq/getting-started)\n- Completed profile[ quick guides](https://observablehq.com/guide/first-steps)\n\n_____","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":12,"value":"\n## Connect with other course participants in Slack\nConnect with course participants in the Observable Community Slack. \n\nSign-up [here](https://join.slack.com/t/observable-community/shared_invite/zt-1icwex7uf-ovIAS0PcuJ~ZgBToSyUs8w) and join the **#data-visualization-fundamentals** channel.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":262,"value":"____\n## Certificate\nReceive an official Observable Certificate in Data Visualization Fundamentals","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":20,"value":"___","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":80,"value":"## About the Instructor\nRobert Kosara is a Data Visualization Developer at Observable. Before joining Observable, Robert was research scientist at Tableau Research, and before that professor of Computer Science at UNC Charlotte. He has conducted and published research on a variety of topics in data visualization, including novel visualization techniques, perceptual issues, and narrative visualization.\n\n\nConnect: [Observable](https://observablehq.com/@rkosara) | [LinkedIn](https://www.linkedin.com/in/rkosara/) | [Twitter](https://twitter.com/eagereyes) | [Mastodon](https://vis.social/@eagereyes) \n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":36,"value":"banner(\"Interested in learning more about collaborating with data?\", \"Sign up for free\", \"https://observablehq.com/product?utm_medium=social&utm_campaign=nba_data_jam&utm_source=observablehq.com\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":437,"value":"_____","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":41,"value":"import {buttonCTA} from \"@observablehq/buttons\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":38,"value":"import {banner} from \"@observablehq/brand-assets\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":46,"value":"$47","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":466,"value":"import {details} from \"@observablehq/callout-boxes\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W48","stdlib":"1"}} 46:"$45:body"