28:null 29:["$","title",null,{"children":"Living with Machines: How did machines change accidents? | Living with Machines Team | Observable"}] 2e:T43f,{ const data = accidentsPerYear.filter((a) => selectedAccidents.includes(a.annotation) ); const xy = { x: "year", y: "count" }; const plot = tooltipPlot().plot({ color: { domain: Object.keys(domains.accidents), range: Object.values(domains.accidents) }, inset: 10, marks: [ Plot.line(data, { ...xy, curve: "catmull-rom", opacity: 0.5, stroke: "annotation" }), Plot.dot(data, { ...xy, fill: "annotation", r: 3, stroke: "white", title: (d) => `${d.annotation}, ${d.year}\n${d3.format(".2%")(d.count)} record(s)` }) ], // r: { range: [1, 5] }, x: { tickFormat: (d) => formatYear(d) }, y: { grid: true, percent: true, domain: [0, 100] }, width }); handlePlotClick(plot, data, accidents, "annotation", (title, sids) => { mutable selectedTitle = { ...selectedTitle, accidents: title }; mutable selectedSids = { ...selectedSids, accidents: sids }; }); return plot; }2f:T665,{ const victims = data.filter((v) => selectedVictimsStats.includes(v[victimsColourBy]) ); const color = {}; if (domains[victimsColourBy]) { color.domain = Object.keys(domains[victimsColourBy]); color.range = Object.values(domains[victimsColourBy]); } const mapX = (value, inputMin, inputMax, outputMin, outputMax) => { const inputRange = inputMax - inputMin; const outputRange = outputMax - outputMin; const normalizedValue = (value - inputMin) / inputRange; const mappedValue = Math.round(normalizedValue * outputRange + outputMin); return mappedValue; }; const plot = tooltipPlot().plot({ color, height: 400, inset: 10, marginLeft: calculateMarginLeft(victims, victimsGroupBy) + 10, marks: [ Plot.axisFy({ anchor: "left", fontSize: 12, fontWeight: "bold", label: null, lineWidth: 10 }), Plot.dot( victims, Plot.dodgeY("middle", { x: (d, i) => d.year / 1000 + i, fy: victimsGroupBy, fill: victimsColourBy, title: (d) => `${d.year}, ${d.age}, ${d.gender}\n${d.t}\n${d.annotation}` }) ) ], x: { axis: "top", tickFormat: (d) => formatYear(mapX(d, 0, data.length, years[0], years[years.length - 1])), tickSize: 0 }, width }); handlePlotClick(plot, victims, victims, "annotation", (title, sids) => { mutable selectedTitle = { ...selectedTitle, victims: title }; mutable selectedSids = { ...selectedSids, victims: sids }; }); return plot; }30:T727,{ const dotTitle = (group) => { const firstYear = group[0].year; const titles = _.uniq(group.map((d) => d.title)).join("\n"); return `${firstYear}\n${titles}`; }; const arrowTitle = (d) => { const years = d.year; const shiftedTitles = shifted(d) .map( (d) => `${d.title}\nShifted from ${d.politicsShift.from} to ${d.politicsShift.to}` ) .join("\n\n"); return `${years}\n${shiftedTitles}`; }; const shifted = (source) => politicalShift.filter((obj) => Object.entries(source.politicsShift).every( ([key, value]) => obj.politicsShift[key] === value ) ); const plot = tooltipPlot().plot({ color: { domain: Object.keys(domains.politics), legend: true, range: Object.values(domains.politics) }, height: 300, inset: 10, marginLeft: calculateMarginLeft(sources, "politics"), marks: [ Plot.dot( _.orderBy(sources, ["year", "title"], "desc"), Plot.group( { r: "count", title: (group) => dotTitle(group) }, { x: "year", y: "politics", fill: "politics" } ) ), Plot.arrow(politicalShift, { filter: (d) => d.politicsShift.toYear <= politicalShiftYear, x1: (d) => d.politicsShift.fromYear, y1: (d) => d.politicsShift.from, x2: (d) => d.politicsShift.toYear, y2: (d) => d.politicsShift.to, bend: true, headLength: 4, inset: 5, stroke: "#777", strokeWidth: 1.5, title: (d) => arrowTitle(d) }) ], r: { range: [1, 5] }, x: { tickFormat: (d) => formatYear(d), tickSize: 0 }, y: { tickSize: 0 }, width }); return plot; }31:T573,Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. 32:T4f3,victims = getWorkflowAnnotations(victimsWorkflow.workflow_id) .map((a) => { const subject = victimsSubjects.find((s) => s.sid === a.sid); const source = sources.find((n) => n.nlp === subject.nlp); return { ...a, subject, source }; }) .filter((a) => a.source) .map((a) => ({ sid: a.sid, annotation: a, details: { age: { ...a.T3, ...a.T6 }, gender: { ...a.T1, ...a.T4 } }, year: a.subject.year, t: a.subject.t, politics: a.source.politics, price: a.source.price, price_range: a.source.price_range })) .map((a) => { const age = _(a.details.age).toPairs().orderBy([1], ["desc"]).flatMap().value()[0] || ""; const gender = _(a.details.gender) .toPairs() .orderBy([1], ["desc"]) .flatMap() .value()[0] || ""; return { ...a, age: getAgeGroup(age), gender: getGender(gender) // gender.indexOf("female") >= 0 // ? "female" // : gender.indexOf("male") >= 0 // ? "male" // : gender }; }) // .filter((a) => a.gender.length > 0 && ["female", "male"].includes(a.gender)) .map((a) => ({ ...a, annotation: JSON.stringify(a.details) })) .flatMap((a) => a.gender.map((g) => ({ ...a, gender: g })))33:T622,/** * Returns the age group based on the given age or age-related description. * * @param {string|number} age - The age or age-related description. * @returns {string} The age group corresponding to the given age. * Possible age groups: * - "children" (0-17 years old) * - "young adults" (18-25 years old) * - "adults" (26-65 years old) * - "elderly" (65+ years old) * - "mixed age groups" * - "unknown" (if the age cannot be determined) */ getAgeGroup = (age) => { const numericAge = parseInt(age, 10); if (!isNaN(numericAge)) { if (numericAge >= 18 && numericAge <= 25) { return "young adults"; } else if (numericAge > 25 && numericAge <= 65) { return "adults"; } else if (numericAge > 65) { return "elderly"; } else { return "children"; } } const lowerCaseAge = age.toLowerCase(); if ( lowerCaseAge.includes("child") || lowerCaseAge.includes("boy") || lowerCaseAge.includes("girl") ) { return "children"; } else if ( lowerCaseAge.includes("young") || lowerCaseAge.includes("youth") || lowerCaseAge.includes("lad") ) { return "young adults"; } else if (lowerCaseAge.includes("old") || lowerCaseAge.includes("elderly")) { return "elderly"; } else if (lowerCaseAge.includes("adult")) { return "adults"; } else if (lowerCaseAge.includes("mixed")) { return "mixed age groups"; } else { return "unknown"; } }34:T41d,accidents = { const mapAnnotation = (value) => { if (value.indexOf("too hard to read") >= 0) { return "too hard to read"; } if (value.indexOf("no relevant articles") >= 0) { return "no relevant articles"; } if (value.indexOf("more than one") >= 0) { return "more than one article about accidents"; } if (value.indexOf("only one") >= 0) { return "one article about accidents"; } return value; }; return getWorkflowAnnotations(accidentsWorkflow.workflow_id) .filter((a) => a.T0) .map((a) => { const subject = accidentsSubjects.filter((s) => s.sid === a.sid)[0]; const source = newspapers[subject.nlp]; return { ...a, subject, source }; }) .filter((a) => a.source) .map((a) => { const t = Object.keys(a.T0)[0]; return { sid: a.sid, annotation: mapAnnotation(t), year: a.subject.year, politics: a.source.politics, price: a.source.price, price_range: a.source.price_range }; }); }35:[] 2c:{"id":"10cd9fc582a9a794","slug":null,"title":"Living with Machines: How did machines change accidents?","thumbnail":null,"access_level":"public","create_time":"$D2023-06-15T21:52:18.557Z","update_time":"$D2023-06-16T09:52:04.326Z","view_time":null,"first_public_time":"$D2023-06-15T21:52:18.557Z","has_unpublished_edits":null,"fork":{"id":"a66519bee0cb2e34","slug":null,"title":"Living with Machines: Language of Accidents","owner":{"id":"dfd3e2c5857ede8e","login":"ongtiffany","name":"Tiffany Ong"}},"stars":0,"starred":false,"owner":{"type":"team","id":"f18d2d1278c33653","login":"lwm-team","name":"Living with Machines Team","avatar_url":"https://avatars-next.observableusercontent.com/86942d779a58f30b0b6d1abe3a2a55c9b1cdb6120b2241cc3e3dc94723e2abfc","tier":"starter_2024"},"version":4174,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"13b7cd0ffd6e4a92","login":"mialondon","name":"Mia","avatar_url":"https://avatars-next.observableusercontent.com/718fd54635137cd9a35241d6876cfe3ece957358071d65ea1440f3a156a753a4","tier":null}],"members":[{"type":"team","id":"f18d2d1278c33653","login":"lwm-team","name":"Living with Machines Team","avatar_url":"https://avatars-next.observableusercontent.com/86942d779a58f30b0b6d1abe3a2a55c9b1cdb6120b2241cc3e3dc94723e2abfc","tier":"starter_2024","role":"editor"},{"type":"individual","id":"13b7cd0ffd6e4a92","login":"mialondon","name":"Mia","avatar_url":"https://avatars-next.observableusercontent.com/718fd54635137cd9a35241d6876cfe3ece957358071d65ea1440f3a156a753a4","tier":null,"role":"editor"}],"comments":[{"id":"186eba7e9dc98697","reply_to_id":null,"content":"Should the number of contributors here be automatically generated? We don't need to give the numbers of months but could perhaps re-use the workflows timeline from elsewhere to show when they were live? Or just say 'while the workflows were active'.","create_time":"$D2023-06-16T08:46:08.181Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"13b7cd0ffd6e4a92","login":"mialondon","name":"Mia","avatar_url":"https://avatars-next.observableusercontent.com/718fd54635137cd9a35241d6876cfe3ece957358071d65ea1440f3a156a753a4","tier":null}}],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Living with Machines: How did machines change accidents?","cells":[{"id":3801,"value":"

Living with Machines: How did machines change accidents?

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3759,"value":"

Note: This notebook is currently undergoing active development and may contain unfinished or experimental features. We'd love to hear your feedback (digitalresearch@bl.uk); please allow for updates, changes, or potential instabilities while using this notebook.

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3790,"value":"

How did the introduction of machines into the workplace and landscape change the lives of ordinary people in the nineteenth century? The Living with Machines project aimed to find out. A multidisciplinary research collaboration between the British Library and Alan Turing Institute with the Universities of Cambridge, East Anglia, Exeter, and London (QMUL), the project had several research strands.

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4060,"value":"

A key research strand, designed from the beginning to include public contributions, investigated how machines changed accidents. We built crowdsourcing tasks on the Zooniverse citizen science platform in combination with data science and machine learning methods to find new insights within the pages of historical newspapers. This page focuses on data collected for this research. It visualises data from the original digitised newspaper articles, contemporary press directories that described individual newspapers, and classifications by Zooniverse volunteers.\n\nThe page begins with an overview then has options to filter data and allow more exploration.

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4170,"value":"toc()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4167,"value":"function toc(selector = \"h1,h2\", heading = \"Table of Contents\") {\n return Generators.observe(notify => {\n let headings = [];\n\n function observed() {\n const h = Array.from(document.querySelectorAll(selector));\n if (h.length !== headings.length || h.some((h, i) => headings[i] !== h)) {\n notify(html`${heading}

${DOM.text(h.textContent)}`,\n {onclick: e => (e.preventDefault(), h.scrollIntoView())}\n );\n })}`);\n }\n }\n\n const observer = new MutationObserver(observed);\n observer.observe(document.body, {childList: true, subtree: true});\n observed();\n return () => observer.disconnect();\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3906,"value":"## The Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3796,"value":"
Digitised newspaper pages: automatically-transcribed text and images of historical newspaper articles come from newspapers digitised for the Living with Machines project by FindMyPast. These articles were selected by searching for keywords related to accidents and machinery in close proximity in an article. As such, they're a small sample of articles from public domain newspapers; many, many more relevant articles are available on the British Newspaper Archive, and many are still yet to be digitised.
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4148,"value":"
Information about the newspapers themselves - their publishers, locations, interests, circulation and cost - come from Mitchell's Press Directories, digitised and processed by the Living with Machines project.
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4146,"value":"
Crowdsourced classifications: volunteers on the Zooniverse platform were shown an article from a 19th century newspaper alongside options to label it - most importantly, did it mention an accident involving machinery? If an article did mention a specific accident involving machinery, then we asked additional questions it, such as the age and gender of any victims mentioned, the reported location of the accident, and the type of site where the accident occurred. Annotations were collected from 2020 to 2023. We exported the volunteers' annotations, comments and tags, and related information from the Zooniverse platform, and are working with that and data extracted from natural language processing/machine learning, for analysis and presentation.
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4163,"value":"
Zooniverse tasks: We went through several iterations of the 'workflows' about accidents, experimenting with the best combation of questions, task types and backend logic, alongside testing different ways of using the results.\n
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3880,"value":"The primary source for the How did machines change accidents data are from 23 newspapers titles over 74 years from 1846 to 1920, resulting in 15,536 images (subjects).","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3848,"value":"
Note: The data used in this visualisation was exported / uploaded at ${dataExportDate}.
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3830,"value":"## The Contributors / Who were the Contributors?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3913,"value":"There were 2506 individual contributors over X months that used the Zooniverse platform. Just under half did not log into a Zooniverse account - this shows the value of allowing users to contribute without an account.","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":194,"value":"workflowsParticipantsPlot(projectParticipants)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3824,"value":"
Note: We'd like to thank all our contributors for their classifications, transcriptions, questions and comments!
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4017,"value":"## Workflows and Annotations / What are Workflows and Annotations?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3846,"value":"In Zooinverse, the contributors were asked to perform a group of tasks (workflows) of which there were 4:
Age and gender of victims
In which sites were accidents reported?
Where were accidents reported?
How did machines change accidents?
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3966,"value":"The bar chart below shows the number of subjects each year from 1835 to 1920, coloured by workflow type. 1875 and 1876, has the most subjects across all workflows, ","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4002,"value":"viewof toggleSubjectsColour = Inputs.toggle({\n label: \"Colour by workflow\",\n value: false\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4000,"value":"toggleSubjectsColour\n ? subjectsPlot(subjects, \"workflow\")\n : subjectsPlot(subjects)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4023,"value":"Each workflow had a number of tasks which the contributors were asked to complete by subject classification (annotations). In total there were 90,667 annotations over 15,536 subjects across the 4 workflows. Active and not active are Zooniverse settings that toggle whether a workflow is live and visible or not.","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":34,"value":"workflowsAnnotationsPlot(workflows)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3902,"value":"## The Newspapers / What were the Newspapers like?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4030,"value":"Looking more in depth into the newspapers' data, we can compare the price range, political leaning, their locations and year publication...","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4044,"value":"### Price","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4053,"value":"[Details of price buckets?] Over time, newspapers became cheaper, possibly due to the rise in.....","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4042,"value":" Select the different options below to view the different data dimensions.","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3994,"value":"viewof sourcesGroupBy = Inputs.radio(\n [\"county\", \"politics\", \"price\", \"price_range\", \"title\", \"year\"],\n {\n label: \"Group by:\",\n value: \"politics\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3996,"value":"viewof sourcesColourBy = Inputs.radio(\n [\"county\", \"politics\", \"price\", \"price_range\", \"year\"],\n {\n label: \"Colour by:\",\n value: \"price_range\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":216,"value":"newspapersPlot(sources, sourcesGroupBy, sourcesColourBy)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1088,"value":"### Political distribution\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4055,"value":"There are 7 political groups. [Explanation of unknown]","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1033,"value":"newspapersPoliticalDistribution(getNewspapersPoliticalDistribution())","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4007,"value":"## Workflows","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4057,"value":"Looking into each workflow we can see...","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":406,"value":"## Workflow 1: `${accidentsWorkflow.display_name}`","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":515,"value":"### Subjects about accidents per year","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1897,"value":"subjectsTable(\n selectedTitle.accidents,\n accidentsSubjects,\n selectedSids.accidents\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1818,"value":"viewof selectedAccidents = interactiveLegend(\n Object.keys(domains.accidents),\n Object.values(domains.accidents)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3061,"value":"$2e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1689,"value":"## Workflow 2: `${sitesWorkflow.display_name}`","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":629,"value":"### Annotations per site per year","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":660,"value":"viewof selectedSites = interactiveLegend(\n Object.keys(domains.site),\n Object.values(domains.site)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1906,"value":"subjectsTable(selectedTitle.sites, sitesSubjects, selectedSids.sites)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2581,"value":"{\n const data = sitesPerYear.filter((s) => selectedSites.includes(s.site));\n const domain = Object.fromEntries(\n Object.entries(domains.site).filter(([k, v]) => selectedSites.includes(k))\n );\n\n const plot = ridgelinePlot(data, {\n x: \"year\",\n xDomain: [\n _.minBy(sitesPerYear, \"year\").year,\n _.maxBy(sitesPerYear, \"year\").year\n ],\n y: \"count\",\n fy: \"site\",\n domain,\n overlap: 2,\n sort: \"year\",\n title: (d) =>\n `${d.site}, ${d.year}\\n${d3.format(\".2%\")(d.count)} annotations`\n });\n\n handlePlotClick(plot, data, sites, \"site\", (title, sids) => {\n mutable selectedTitle = {\n ...selectedTitle,\n sites: title\n };\n mutable selectedSids = {\n ...selectedSids,\n sites: sids\n };\n });\n\n return plot;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":812,"value":"### Annotations per site per year, coloured by `${sitesColourBy}`","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":818,"value":"viewof sitesColourBy = Inputs.radio([\"politics\", \"price_range\"], {\n label: \"Colour by:\",\n value: \"politics\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":716,"value":"{\n const color = { legend: true };\n if (domains[sitesColourBy]) {\n color.domain = Object.keys(domains[sitesColourBy]);\n color.range = Object.values(domains[sitesColourBy]);\n }\n\n return tooltipPlot().plot({\n color,\n height: 400,\n inset: 10,\n marginLeft: calculateMarginLeft(sites, \"site\"),\n marks: [\n Plot.dot(\n sites,\n Plot.group(\n { r: \"count\" },\n {\n x: \"year\",\n y: \"site\",\n stroke: sitesColourBy,\n title: (d) => `${d.site}, ${d.year}\\n${d[sitesColourBy]}`\n }\n )\n )\n ],\n width,\n r: { range: [1, 10] },\n x: { tickFormat: (d) => formatYear(d) },\n y: { domain: Object.keys(domains.site), grid: true, label: \"Accidents\" }\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2145,"value":"## Workflow 3: `${victimsWorkflow.display_name}`","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3225,"value":"viewof victimsGroupBy = Inputs.radio([\"age\", \"gender\", \"politics\", \"site\"], {\n label: \"Group by:\",\n value: \"gender\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2367,"value":"viewof victimsColourBy = Inputs.radio([\"age\", \"gender\", \"politics\", \"site\"], {\n label: \"Colour by:\",\n value: \"gender\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2914,"value":"viewof selectedVictimsStats = interactiveLegend(\n Object.keys(domains[victimsColourBy]),\n Object.values(domains[victimsColourBy])\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2322,"value":"subjectsTable(selectedTitle.victims, victimsSubjects, selectedSids.victims)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2114,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2978,"value":"### Age by site coloured by gender","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3671,"value":"viewof yearScrubbedSiteGender = Scrubber(years, {\n loop: false,\n delay: 1000 / 24\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3712,"value":"viewof selectedVictimsGender = interactiveLegend(\n Object.keys(domains.gender),\n Object.values(domains.gender)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2932,"value":"{\n const victims = data\n .filter((d) => d.year <= yearScrubbedSiteGender)\n .filter((v) => selectedVictimsGender.includes(v.gender));\n const ageDomain = victims.map((v) => v.age);\n const siteDomain = victims.map((v) => v.site);\n\n return tooltipPlot().plot({\n color: {\n domain: Object.keys(domains.gender),\n range: Object.values(domains.gender)\n },\n height: 400,\n marginLeft: calculateMarginLeft(data, \"site\"),\n marks: [\n Plot.dot(\n victims,\n Plot.group(\n { r: \"count\" },\n {\n x: \"age\",\n y: \"site\",\n stroke: \"gender\",\n title: (d) => `${d.site}\\n${d.age}, ${d.gender}`\n }\n )\n )\n ],\n x: {\n domain: Object.keys(domains.age).filter((d) => ageDomain.includes(d)),\n tickRotate: 0\n },\n y: {\n domain: Object.keys(domains.site).filter((d) => siteDomain.includes(d))\n },\n width\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3009,"value":"### Explore the accidents","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2989,"value":"viewof xFacet = Inputs.radio([\"age\", \"gender\", \"site\"], {\n label: \"Select X\",\n value: \"age\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2991,"value":"viewof yFacet = Inputs.radio([\"age\", \"gender\", \"site\"], {\n label: \"Select Y\",\n value: \"gender\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2981,"value":"{\n return tooltipPlot().plot({\n color: {\n legend: true,\n scheme: \"Reds\"\n },\n marginLeft: calculateMarginLeft(victims, yFacet) + 75,\n marks: [\n Plot.cell(\n data,\n Plot.group(\n { fill: \"count\" },\n {\n x: xFacet,\n y: yFacet,\n stroke: defaultColour,\n title: (d) => `${d[xFacet]}, ${d[yFacet]}`\n }\n )\n )\n ],\n x: { domain: Object.keys(domains[xFacet]), tickRotate: 0 },\n y: { domain: Object.keys(domains[yFacet]) },\n width\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":148,"value":"## Workflow annotations\n${activeStatusDescription}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3512,"value":"\n- ${politicalShift\n .map(\n (p) =>\n `${p.title} ${p.politicsShift.from} ${\n p.politicsShift.fromYear\n } ➔ ${\n p.politicsShift.to\n } ${p.politicsShift.toYear}`\n )\n .join(\"\\n- \")}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3279,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3041,"value":"## Workflow 4: `${placesWorkflow.display_name}`\nThere are `${placesUnique.length}` different places!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1091,"value":"### Political distribution\nOverview of political leaning for newspaper titles according to [Mitchell's Press Directories](https://en.wikipedia.org/wiki/Mitchell%27s_Press_Directories), a contemporary source that noted the politics of a newspaper title and its proprietors.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1588,"value":"newspapersPoliticalDistribution(sourcesPolitics)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4121,"value":"
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4086,"value":"## Why we used Observable","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4094,"value":"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4088,"value":"## How we approached Accessibility","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4090,"value":"$31","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4082,"value":"## What the code below is all about","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":4107,"value":"This section below is the code used to generate the charts above. They are part of Observable's way of making notebooks allowing the more technical to dive into it, but can be ignored by everyone else.","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1229,"value":"## Views","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1449,"value":"mutable selectedTitle = ({ accidents: \"\", sites: \"\", victims: \"\" })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1134,"value":"mutable selectedSids = ({ accidents: [], sites: \"\", victims: \"\" })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":65,"value":"## Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":3621,"value":"years = [...new Set(data.map((d) => d.year).sort((a, b) => a - b))]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2575,"value":"data = victims\n .map((victim) => {\n const site = sites.find((s) => s.sid === victim.sid);\n return { ...victim, ...site };\n })\n .sort((a, b) => a.year - b.year)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2485,"value":"### `${placesWorkflow.display_name}`\nThe place names are too varied, and at vary different levels, has there been any mapping done by the project?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2515,"value":"placesUnique = [\n ...new Set(\n places\n .map((p) => p.place.replace(/^\\d+\\s*/, \"\").replace(/\\s*\$.*?\$/, \"\"))\n .filter((p) => p)\n )\n].sort()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2498,"value":"places = getWorkflowAnnotations(placesWorkflow.workflow_id)\n .map((a) => {\n const subject = placesSubjects.find((s) => s.sid === a.sid);\n const source = sources.find((n) => n.nlp === subject.nlp);\n\n return { ...a, subject, source };\n })\n .filter((a) => a.source)\n .map((a) => ({\n sid: a.sid,\n annotation: a,\n details: { place: a.T0 || \"unknown\", type: a.T1 },\n year: a.subject.year,\n t: a.subject.t,\n politics: a.source.politics,\n price: a.source.price,\n price_range: a.source.price_range\n }))\n .map((a) => {\n const place =\n _(a.details.place)\n .toPairs()\n .orderBy([1], [\"desc\"])\n .flatMap()\n .value()[0] || \"\";\n const type =\n _(a.details.type).toPairs().orderBy([1], [\"desc\"]).flatMap().value()[0] ||\n \"\";\n\n return {\n ...a,\n place,\n type\n };\n })\n .map((a) => ({ ...a, annotation: JSON.stringify(a.details) }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2493,"value":"placesSubjects = getSubjects(placesWorkflow.workflow_id)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2487,"value":"placesWorkflow = getWorkflow(23457)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2131,"value":"### `${victimsWorkflow.display_name}`","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2063,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2796,"value":"getGender = (value) => {\n if (value.indexOf(\"female\") >= 0) {\n return [\"female\"];\n }\n\n if (value.indexOf(\"male\") >= 0) {\n return [\"male\"];\n }\n\n if (value.indexOf(\"equal\") >= 0) {\n return [\"mixed gender groups\"];\n }\n\n return [\"unknown\"];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2353,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2058,"value":"victimsSubjects = getSubjects(victimsWorkflow.workflow_id)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2054,"value":"victimsWorkflow = getWorkflow(18831)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1376,"value":"### `${sitesWorkflow.display_name}`","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":551,"value":"sitesPerYear = Object.values(\n sites.reduce((acc, cur) => {\n const key = `${cur.site}-${cur.year}`;\n\n if (!acc[key]) {\n acc[key] = { site: cur.site, year: cur.year, count: 0 };\n }\n\n acc[key][\"count\"] += 1;\n\n return acc;\n }, {})\n).sort((a, b) => a.year - b.year)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":539,"value":"sites = getWorkflowAnnotations(sitesWorkflow.workflow_id)\n .filter((a) => a.T0)\n .map((a) => {\n const subject = sitesSubjects.find((s) => s.sid === a.sid);\n const source = sources.find((n) => n.nlp === subject.nlp);\n\n return { ...a, subject, source };\n })\n .filter((a) => a.source)\n .map((a) => ({\n sid: a.sid,\n site: Object.keys(a.T0).at(-1).split(\":\")[0].split(\" /\")[0],\n year: a.subject.year,\n politics: a.source.politics,\n price: a.source.price,\n price_range: a.source.price_range\n }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":536,"value":"sitesSubjects = getSubjects(sitesWorkflow.workflow_id)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":533,"value":"sitesWorkflow = getWorkflow(21525)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1379,"value":"### `${accidentsWorkflow.display_name}`","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":483,"value":"accidentsPerYear = normaliseCountsByYear(\n Object.values(\n accidents.reduce((acc, cur) => {\n const key = `${cur.annotation}-${cur.year}`;\n\n if (!acc[key]) {\n acc[key] = { annotation: cur.annotation, year: cur.year, count: 0 };\n }\n\n acc[key][\"count\"] += 1;\n\n return acc;\n }, {})\n )\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":374,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":418,"value":"accidentsSubjects = getSubjects(accidentsWorkflow.workflow_id)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":372,"value":"accidentsWorkflow = getWorkflow(20921)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1381,"value":"### Newspapers","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1983,"value":"politicalShift = getNewspapersPoliticalShift(sources).flatMap((d) => d.details)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1590,"value":"sourcesPolitics = getNewspapersPoliticalDistribution(sources)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":204,"value":"sources = getNewspapers(nlps)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1755,"value":"newspapers = getNewspapers()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1383,"value":"### Project","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":114,"value":"participantsBreakdown = getParticipantsBreakdown(workflows)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":131,"value":"projectParticipants = workflows.flatMap((w) => getParticipants(w.workflow_id))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":96,"value":"totalNumberOfSubjects = [...new Set(subjects.map((s) => s.sid))].length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":91,"value":"totalNumberOfAnnotations = workflows.reduce((acc, cur) => acc + cur.classifications_count, 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":980,"value":"nlps = [...new Set(subjects.map((s) => s.nlp))]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3249,"value":"normaliseCountsByYear = (data) =>\n data\n .map((a) => ({ ...a, count: a.count / getNumberOfSubjectsForYear(a.year) }))\n .sort((a, b) => a.year - b.year)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3237,"value":"getNumberOfSubjectsForYear = (year) =>\n subjects.filter((s) => s.year === year).length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":977,"value":"subjects = workflows\n .flatMap((w) => [...getSubjects(w.workflow_id)])\n .map((s) => ({ ...s, workflow: getWorkflow(s.workflow_id).display_name }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":22,"value":"workflows = project.workflows.map(w => getWorkflow(w.workflow_id))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"project = getProject(projectTitle)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":11,"value":"projectTitle = \"Language of Accidents\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1385,"value":"## Dependencies","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2159,"value":"import {\n activeStatusDescription,\n participantsDescription,\n disclaimer\n} from \"@jmiguelv/lwm-backend-messages\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1730,"value":"import {\n defaultColour,\n domainComparator,\n domains,\n formatYear,\n handlePlotClick,\n interactiveLegend,\n newspapersPlot,\n newspapersPoliticalDistribution,\n politicalShiftPlotMarks,\n ridgelinePlot,\n subjectsPlot,\n subjectsTable,\n workflowsAnnotationsPlot,\n workflowsParticipantsPlot\n} from \"@jmiguelv/lwm-backend-plotting\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":202,"value":"import {\n getNewspapers,\n getNewspapersPoliticalDistribution,\n getNewspapersPoliticalShift\n} from \"@jmiguelv/lwm-backend-data\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"import {\n dataExportDate,\n getParticipants,\n getParticipantsBreakdown,\n getProject,\n getSubjects,\n getWorkflow,\n getWorkflowAnnotations\n} from \"@jmiguelv/lwm-backend-data\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":58,"value":"import {\n calculateMarginLeft,\n tooltipPlot\n} from \"@jmiguelv/lwm-backend-plotting\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3609,"value":"import { Scrubber } from \"@mbostock/scrubber\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W35","stdlib":"1"}} 2d:"$2c:body"