2a:null 2b:["$","title",null,{"children":"Why Observable (2018)? | Observable | Observable"}] 30:T470,md`Data drives discovery. Yet to gain insight from data, we need analysis—and that means we need *code*. Point-and-click interfaces are incapable of expressing the novel questions posed by data science. Code is essential as a medium for thought. Observable is a web-first interactive notebook for data analysis, visualization, and exploration. By bringing data science from the command line to the web, we can make it more accessible, more collaborative, and more effective. We can equip the world’s largest developer community with the world’s most powerful medium for communication. Observable is a better way to code.`31:T7f2,md`## What makes Observable different? Observable notebooks let you focus more on what matters—discovering and communicating quantitative insights—and less on the arcana of manipulating abstract symbols. An Observable notebook consists of reactive cells, each defining a piece of state. Rather than track dependencies between mutable values in your head, the runtime automatically extracts dependencies via static analysis and efficiently re-evaluates cells whenever things change, like a spreadsheet. Complex user interfaces can be expressed as simple, pure functions of state. Reactivity at the language layer avoids the boilerplate typical of frameworks and enables interactive programming without the cost of live reload. Cells can refer interchangeably to constants, asynchronous data, user interface-driven state, and even dynamic variables. Observable notebooks have unfettered access to powerful graphics capabilities, including SVG, Canvas and WebGL. Build fluid exploratory interfaces without the latency of server round-trips. Test hypotheses by manipulating live simulations. Visualize algorithms as they run. Use open-source libraries such as deeplearn.js, Vega-Lite and three.js.`32:T437,md`## Help us build Observable, Inc. We ([Mike](/@mbostock), [Tom](/@tmcw) and [Jeremy](/@jashkenas)) are the creators of popular open-source software for data visualization, analysis and general-purpose programming, including D3.js, Underscore, Simple Statistics, documentation.js and CoffeeScript. There remain myriad challenges to making data science accessible, and Observable is our effort to tackle these challenges head-on. We are hiring people that share our passion for code and discovery. Join us! Say hello and send your portfolio or resume to jobs@observablehq.com.`33:[] 2e:{"id":"f0e60d78ec23b2ed","slug":"why-observable","title":"Why Observable (2018)?","thumbnail":"ceafb9ed995a3dbbba7523b8641dc622f4696c0944f0e9e66f9f399e0401c3d3","access_level":"public","create_time":"$D2018-03-09T22:08:22.805Z","update_time":"$D2020-07-08T20:46:35.068Z","view_time":null,"first_public_time":"$D2018-03-09T22:42:07.910Z","fork":false,"stars":43,"starred":false,"owner":{"type":"team","id":"f35c755083683fe5","login":"observablehq","name":"Observable","avatar_url":"https://avatars-next.observableusercontent.com/424c6c1f7794371c9915a160519bdfb34cf34e50069fcd6def38a1a04d4e9702","tier":"enterprise_2024"},"version":57,"publish_version":57,"role":null,"authored":false,"authors":[{"type":"individual","id":"074c414ad1d825f5","login":"mbostock","name":"Mike Bostock","avatar_url":"https://avatars-next.observableusercontent.com/7dbba99ced40bd5ab8013c99b1a11da61231bce321ba1148a9d16ad0f121550a","tier":null}],"members":[{"type":"team","id":"f35c755083683fe5","login":"observablehq","name":"Observable","avatar_url":"https://avatars-next.observableusercontent.com/424c6c1f7794371c9915a160519bdfb34cf34e50069fcd6def38a1a04d4e9702","tier":"enterprise_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":15,"collection":null,"type":"notebook","body":{"title":"Why Observable (2018)?","cells":[{"id":0,"value":"md`# Why Observable (2018)?\n\n

***Update:*** *Observable has evolved over the past couple of years. The Observable community has grown with the platform. Please take a look at the latest thinking on [**Why Observable**](/@observablehq/why-observable/2) in 2020. *

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":32,"value":"cheery","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":34,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":13,"value":"md`## Data science is a social process.\n\nData scientists are people, and people are social organisms. Exploratory analysis may bring insight to the mind of the analyst, but insight’s true value comes when it is communicated to further understanding and action. A pretty chart is not the end goal; each visualization must point to its underlying data and code to allow an active reader to question assumptions, consider alternatives, and derive new insights.\n\nObservable will allow teams to collaborate and communicate in realtime over the web. Fork and edit notebooks concurrently, with non-destructive history and change tracking. Import cells from other notebooks for reuse without code duplication. Share examples and best practices. See live analysis by clicking a link.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":24,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":28,"value":"import {svg as cheery} from \"@mbostock/cheery-observable\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W33","stdlib":"1","titling":"auto"}} 2f:"$2e:body"