2d:null 2e:["$","title",null,{"children":"Play @ HSLU | Office for Statistics and Data of the Canton of Zurich | Observable"}] 33:T483,md`### Aufgabe für am Nachmittag: Daten sammeln. Überlegt euch mal 10-20 Minuten brainstormen, was interessante Fragen sein könntet und wie ihr dazu Daten sammeln könnt.


Ihr seid frei, was ihr sammelt. Aber ihr sollt ein Konzept haben, was die Daten sind, die ihr sammelt. 
Es können bspw. Tanzäpfen sein, und dann kann man die enthaltenen Nüsschen zählen. Es können Fotos sein, die etwas dokumentieren. Man kann ein Quadrat auf den Boden zeichnen, und anzahl Menschen mit langen und mit kurzen Haaren zählen die durchlaufen etc.

Am Nachmittag: rausgehen. Daten generieren -> und dokumentieren Abgeben bis: So, 27.09.2020 Bis am Sonntag, 27.9.2020 eure Dokumentation im Sharepoint ablegen. [sharepoint link](https://hsluzern.sharepoint.com/sites/dk_dda_core/Freigegebene%20Dokumente/Forms/AllItems.aspx?id=%2Fsites%2Fdk%5Fdda%5Fcore%2FFreigegebene%20Dokumente%2FDDA20%20–%201%2E%20Semester%2FDDA20%5FHS20%5F001%5FPlay1%2FPlay1%5F1%5FFind%5Fin&p=true&originalPath=aHR0cHM6Ly9oc2x1emVybi5zaGFyZXBvaW50LmNvbS86Zjovcy9ka19kZGFfY29yZS9FaHVFVFZyUk1WTkRxRmwzU3Z2b3VJNEI2Y2NXcEZVWlZCeVlrTnBoeXgyTnNBP3J0aW1lPWNyLUpSaGxmMkVn)`34:[{"id":"3c0da17c41077441b88dc64d1c992a74942bfdecda9a86716cbb0924dcc58ddadfcb9d47bb7ab84804760ffc8fd0b63c5b14d8a1dc5cd7c79d8fba42869ab460","href":"https://static.observableusercontent.com/files/3c0da17c41077441b88dc64d1c992a74942bfdecda9a86716cbb0924dcc58ddadfcb9d47bb7ab84804760ffc8fd0b63c5b14d8a1dc5cd7c79d8fba42869ab460","name":"image@6.png","type":"image/png","lastModified":1600780464670.773,"size":240929},{"id":"dcdeca512cfa9c564ade10e54f3b9fe79f73025e0a62dc6e6cf38dab4ab14e978bb1c91b9897d1a9b7fef28fd4d39c19e0c7f0133c089fd3e3f60cbb743bb580","href":"https://static.observableusercontent.com/files/dcdeca512cfa9c564ade10e54f3b9fe79f73025e0a62dc6e6cf38dab4ab14e978bb1c91b9897d1a9b7fef28fd4d39c19e0c7f0133c089fd3e3f60cbb743bb580","name":"image@7.png","type":"image/png","lastModified":1600780640580.289,"size":161567},{"id":"7f95dc0f11cf2c49c9edb7a2bad41c84c3b69ca747d009bfd74469dab2e74a275fbc0281de0c7783986834328c5fa75759be50ce40f4110c753c5a25f18d9226","href":"https://static.observableusercontent.com/files/7f95dc0f11cf2c49c9edb7a2bad41c84c3b69ca747d009bfd74469dab2e74a275fbc0281de0c7783986834328c5fa75759be50ce40f4110c753c5a25f18d9226","name":"image@5.png","type":"image/png","lastModified":1600780185420.987,"size":802799},{"id":"d7239202222e861d972a25fe1810e452eab6d7011a229a689aef20ac83d1c4f6fca323f15b91f2ace47494eb6751c631a8c58dbacb21a37d394b2d2b33af2e46","href":"https://static.observableusercontent.com/files/d7239202222e861d972a25fe1810e452eab6d7011a229a689aef20ac83d1c4f6fca323f15b91f2ace47494eb6751c631a8c58dbacb21a37d394b2d2b33af2e46","name":"image@9.png","type":"image/png","lastModified":1600781629853.608,"size":855877},{"id":"aad6a607508f900e9ebcf9bb8bdae1a933626ee4813d46b4dd9b9f62eace1585443201a9eaf260ace8f836e96c7d68d2265b3dd7ece6908f4f732b9bc269d8f3","href":"https://static.observableusercontent.com/files/aad6a607508f900e9ebcf9bb8bdae1a933626ee4813d46b4dd9b9f62eace1585443201a9eaf260ace8f836e96c7d68d2265b3dd7ece6908f4f732b9bc269d8f3","name":"image@11.png","type":"image/png","lastModified":1600793235440.433,"size":78769},{"id":"b5dd1abad561118e7f15f107a6dc0e151006b9f871e715055ac9c1b36fb8c00c5e9c0957039cf25abf44cd18265b6ef85081fa625cbb61a88bdff119fab6a9da","href":"https://static.observableusercontent.com/files/b5dd1abad561118e7f15f107a6dc0e151006b9f871e715055ac9c1b36fb8c00c5e9c0957039cf25abf44cd18265b6ef85081fa625cbb61a88bdff119fab6a9da","name":"image.png","type":"image/png","lastModified":1600759462044.17,"size":2745126},{"id":"b38c8e14f073aa26c9c1df7fb39ec727d0a72e77177e91132acbf27a43d5e2a4027c30a5c9e2174ebe2bbac278a77dc651eb3013a18067325de53664a4eb15f6","href":"https://static.observableusercontent.com/files/b38c8e14f073aa26c9c1df7fb39ec727d0a72e77177e91132acbf27a43d5e2a4027c30a5c9e2174ebe2bbac278a77dc651eb3013a18067325de53664a4eb15f6","name":"image@2.png","type":"image/png","lastModified":1600760528428.385,"size":49729},{"id":"36f34156133cd897e097c72c907471a3643903c98827ab1b82f5a98edd2e48b408bb222b953c3f8cf9ced8b163385157a1d37a369130026cfc9172a53f7c060d","href":"https://static.observableusercontent.com/files/36f34156133cd897e097c72c907471a3643903c98827ab1b82f5a98edd2e48b408bb222b953c3f8cf9ced8b163385157a1d37a369130026cfc9172a53f7c060d","name":"image@8.png","type":"image/png","lastModified":1600780724723.768,"size":481121},{"id":"6faad08370f325a855e744a2b71fe82d4777a9ec56b8dc90fa8884ef0c6c1c30085feccd17b227f728142931e4eafc2380c2057accade86e5df3da2a899b3337","href":"https://static.observableusercontent.com/files/6faad08370f325a855e744a2b71fe82d4777a9ec56b8dc90fa8884ef0c6c1c30085feccd17b227f728142931e4eafc2380c2057accade86e5df3da2a899b3337","name":"image@10.png","type":"image/png","lastModified":1600782177098.516,"size":1184733},{"id":"7f95dc0f11cf2c49c9edb7a2bad41c84c3b69ca747d009bfd74469dab2e74a275fbc0281de0c7783986834328c5fa75759be50ce40f4110c753c5a25f18d9226","href":"https://static.observableusercontent.com/files/7f95dc0f11cf2c49c9edb7a2bad41c84c3b69ca747d009bfd74469dab2e74a275fbc0281de0c7783986834328c5fa75759be50ce40f4110c753c5a25f18d9226","name":"image@3.png","type":"image/png","lastModified":1600761227916.281,"size":802799},{"id":"36595dd134c975b17df691129fc1850edaef245f125ae3cb73928a4b05c9e2f557365c30267bb0837cd34a87bf1f01dd1351c810daa0183944919ccc7f866fa7","href":"https://static.observableusercontent.com/files/36595dd134c975b17df691129fc1850edaef245f125ae3cb73928a4b05c9e2f557365c30267bb0837cd34a87bf1f01dd1351c810daa0183944919ccc7f866fa7","name":"image@1.png","type":"image/png","lastModified":1600760166137.289,"size":47637}] 31:{"id":"f4455fe5ed938369","slug":"play-hslu","title":"Play @ HSLU","thumbnail":"4a82b9572e2ba9747c53d5faff0f43d4b9f2fff80497873aaed0e3967b2d266d","access_level":"public","create_time":"$D2020-09-22T07:23:28.638Z","update_time":"$D2020-09-23T09:05:44.430Z","view_time":null,"first_public_time":"$D2020-09-22T07:53:56.758Z","has_unpublished_edits":null,"fork":false,"stars":1,"starred":false,"owner":{"type":"team","id":"4b23743d6fe05d13","login":"statistikzh","name":"Office for Statistics and Data of the Canton of Zurich","avatar_url":"https://avatars-next.observableusercontent.com/61364635cd5db7a914727e7625ac41daa90fedeba239e3d2ce93b57a9ad3bce9","tier":"pro"},"version":303,"publish_version":303,"role":null,"authored":false,"authors":[{"type":"individual","id":"37f1612f224a0555","login":"mmznrstat","name":"Matthias Mazenauer","avatar_url":"https://avatars-next.observableusercontent.com/ef3d946ccf160cca48b7f42bef702f21fe993881f97ef1654f4d43be2e36569d","tier":null}],"members":[{"type":"individual","id":"37f1612f224a0555","login":"mmznrstat","name":"Matthias Mazenauer","avatar_url":"https://avatars-next.observableusercontent.com/ef3d946ccf160cca48b7f42bef702f21fe993881f97ef1654f4d43be2e36569d","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":{"id":"e0c135b26987fa98","slug":"presentations","title":"Presentations","owner":{"id":"4b23743d6fe05d13","login":"statistikzh","name":"Office for Statistics and Data of the Canton of Zurich"}},"type":"notebook","body":{"title":"Play @ HSLU","cells":[{"id":0,"value":"md`# Play @ HSLU\n## Data Literacy, Tag 1 \nLaure Stadler, Matthias Mazenauer`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":287,"value":"md`## Code of Conduct:\n\nBe excellent to each other!\n\nLänegre Version: [Hack Code of Conduct](https://hackcodeofconduct.org/)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":294,"value":"md`Wir möchten so weit wie möglich im Diskurs, dem Gespräch lernen. Wir werden euch so selten wie möglich frontal mit Theorie bombardieren. (siehe Sokrates)\n\nDaten sind ein wichtiger Bestandteil der öffentlichen Meinungsbildung und somit der Demokratie, siehe Klimastreik oder COVID-19. Daher ist ein Verständnis für Daten, die sogenannte Data Literacy so wichtig. \n\nWenn Daten und ihre Nutzung demokratisiert ist, ist es auch die Meinungsbildung. `","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":36,"value":"md`## Wer sind wir?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":19,"value":"md`### Aufgabe:\nSammle Informationen über die Person links neben dir und notiere die Daten dazu. \n\nJeder stellt kurz die Person neben sich vor.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":61,"value":"abstand(500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":47,"value":"md`Matthias Mazenauer:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":53,"value":"md`${await FileAttachment(\"image@2.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":55,"value":"md`[Linkedin](https://ch.linkedin.com/in/matthias-mazenauer-7303428a)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":43,"value":"md`Laure Stadler:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":41,"value":"md`${await FileAttachment(\"image@1.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":213,"value":"md`### Beispiel
`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":220,"value":"md`${await FileAttachment(\"image@9.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":223,"value":"md`http://feltron.com/`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":83,"value":"md`### Ergänzung:
\nSammle Daten über die Person neben Dir\n- aus Deinem Wissen (was hat er*sie schon erzählt?)\n- deduktiv (was kannst Du sehen?)\n- investigativ (was findest Du online heraus?)\n\nZeit: 20'\nStell uns die Person vor. Sammle weitere Daten aus ihrer Reaktion.`\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"abstand(500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":275,"value":"md`10:00 Uhr`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":246,"value":"md`## Warum Daten?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":253,"value":"md`${await FileAttachment(\"image@11.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":256,"value":"abstand(500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":279,"value":"md`10:15 Uhr`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"md`## Wo \"sehen\" wir Daten?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"md`${await FileAttachment(\"image.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":77,"value":"md`### Diskussion:
\nWas für Beispiele kommen euch noch in den Sinn?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":104,"value":"abstand(500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":120,"value":"md`### Frage:
\nWarteschlange an der Kasse: wir schauen, wo die Schlange am kürzesten ist. Auf was schauen wir noch?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":123,"value":"abstand(500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":127,"value":"md`Wie könnte man die Wartezeit abschätzen? Welche Informationen müsste man noch sammeln?\n\nDas nennt man Operationalisierung einer (Forschungs-)Frage.\n\nAnalysen und Statistik von Daten: Man muss immer erst die Frage kennen, die beantwortet werden soll. \nBig Data und KI pickeln an diesem Grundsatz. Was heisst das?\n(Auch Rolle der Statistik und Analyse in der Krise: In der Krise weiss man gar nicht, nach was man suchen muss in den Daten, da alles neu ist.)` \n\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":164,"value":"abstand(4)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":151,"value":"md`### Weitere Beispiele`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":236,"value":"md`McCormick Tribune Campus Center`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":149,"value":"md`${await FileAttachment(\"image@6.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":229,"value":"md`\nArchitect: OMA, Rem Koolhaas\n\nYear: 2000-2003\n\nLocation: Chicago, Illinois, United States\n\nPathways: Architektur auf Basis von analogen Daten:\nGrosse Wiese, Studenten laufen lassen, erst wenn sich Wege gebildet haben, dann pflastern`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":301,"value":"md`### Stefanie Posavec\n\nMy Dear Data`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":209,"value":"md`Warja Lavater, Geschichte ohne Worte erzählt`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":186,"value":"md`${await FileAttachment(\"image@8.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":189,"value":"md` \nvereinfachen
\nLeporello, 1965
\nAnimation, 2018
\nhttps://youtu.be/PfKJRFGRaDo
`\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":243,"value":"md`${await FileAttachment(\"image@10.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":138,"value":"abstand(500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":284,"value":"md`11:00 Uhr`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":118,"value":"md`## Realität -> Daten -> Realität`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":132,"value":"md`${await FileAttachment(\"image@5.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":142,"value":"md`Wright meant to type 2, but instead he typed 212 in the data section for floors.
\n[Quelle](https://www.theverge.com/2020/8/21/21395084/microsoft-flight-simulator-melbourne-obelish-openstreetmap-bing-maps-data-glitch)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":174,"value":"md`### (R)DIKW Pyramide`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":171,"value":"md`${await FileAttachment(\"image@7.png\").image()}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":261,"value":"abstand(500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":269,"value":"md`11:30 Uhr`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":258,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":195,"value":"md` ## Anhang`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":173,"value":"FileAttachment(\"image@7.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":147,"value":"FileAttachment(\"image@6.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":130,"value":"FileAttachment(\"image@5.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":181,"value":"FileAttachment(\"image@8.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":64,"value":"function abstand(height) {\n const svg = d3\n .create(\"svg\")\n .attr(\"viewBox\", [0, 0, width, height])\n .attr('id', 'STATchart1');\n svg.append('line')\n .attr('x1',0)\n .attr('x2',width)\n .attr('y1',2)\n .attr('y2',2)\n .style('stroke','black')\n svg.append('line')\n .attr('x1',0)\n .attr('x2',width)\n .attr('y1',height-2)\n .attr('y2',height-2)\n .style('stroke','black')\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":217,"value":"FileAttachment(\"image@9.png\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"FileAttachment(\"image.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":39,"value":"FileAttachment(\"image@1.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":51,"value":"FileAttachment(\"image@2.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":96,"value":"FileAttachment(\"image@3.png\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":240,"value":"FileAttachment(\"image@10.png\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":250,"value":"FileAttachment(\"image@11.png\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":109,"value":"d3= require('d3')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W34","stdlib":"1","titling":"auto"}} 32:"$31:body"