2b:null 2c:["$","title",null,{"children":"Types de visualisation de données | Anders | Observable"}] 31:[] 2f:{"id":"062a44ab863ae1c7","slug":"visualisation-de-donnees","title":"Types de visualisation de données","thumbnail":"0abb3150681dbe7fdcf8278b5fcf5e26fe70fec11811a30c393058801f4f3741","access_level":"public","create_time":"$D2019-02-01T16:28:54.829Z","update_time":"$D2020-02-27T18:29:35.885Z","view_time":null,"first_public_time":"$D2019-02-21T06:53:35.258Z","fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"185626bcadc26005","login":"idris-maps","name":"Anders","avatar_url":"https://avatars-next.observableusercontent.com/d976ffbf18d2b8f93ce6f7e9af33d17c450a64656a0b0f89e2a5b3f16cef7aec","tier":"starter_2024"},"version":142,"publish_version":142,"role":null,"authored":false,"authors":[{"type":"individual","id":"37cf327f614a460d","login":"idris-maps","name":"Anders","avatar_url":"https://avatars-next.observableusercontent.com/d976ffbf18d2b8f93ce6f7e9af33d17c450a64656a0b0f89e2a5b3f16cef7aec","tier":null}],"members":[{"type":"individual","id":"37cf327f614a460d","login":"idris-maps","name":"Anders","avatar_url":"https://avatars-next.observableusercontent.com/d976ffbf18d2b8f93ce6f7e9af33d17c450a64656a0b0f89e2a5b3f16cef7aec","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":{"id":"04f4b394708037c7","slug":"heig-visdom-2020","title":"HEIG-visdom-2020","owner":{"id":"185626bcadc26005","login":"idris-maps","name":"Anders"}},"type":"notebook","body":{"title":"Types de visualisation de données","cells":[{"id":0,"value":"md`# Types de visualisation de données\n\nUne visualisation de données est un résumé visuel de données statistiques chiffrées. Elle permet en un seul coup d'œil d'en saisir la tendance générale\n\n[wikipedia](https://fr.wikipedia.org/wiki/Représentation_graphique_de_données)\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8,"value":"md`### Evolution dans le temps\n\n#### Courbe`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":26,"value":"html`

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`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":121,"value":"md`## Questions à se poser\n\n### 1. Pourquoi?\n\nPour qui? Comment? Contexte\n\n### 2. Quoi?\n\nQuelles données représenter? Quelles données inclure ou exclure?\n\n### 3. Comment ?\n\nChoisir le type de graphique en fonction de ce que l'on veut montrer\n\n\n\nCette liste est inspirée par la présentation **Four pillars of vizualisation** de Noah Linsky, voir la vidéo ci-dessous. Il appelle \"formatting\" le quatrième pilier, qui consiste à rendre le graphique attractif et à attirer l'attention sur ce que l'on veut transmettre.\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":127,"value":"html`

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