2e:null 2f:["$","title",null,{"children":"Inspiring Notebooks of March 2022 | Tom Larkworthy | Observable"}] 34:T8ff, Top dog by a hair's breadth was *["Example Custom Embed"](https://observablehq.com/@endpointservices/example-custom-embed)* created by none other than me under my team account ([@endpointservices](https://observablehq.com/@endpointservices))! That notebook demonstrates how you can completely control the markup of a custom micro websites yet define logic using an [Observable](https://observablehq.com/) notebook. It's a problem people have and it was motivated by answering a question on the [Observable forum](https://talk.observablehq.com/t/how-can-i-remove-the-observable-logo/6362/6). I highly recommend raiding the forum as a source of inspiration, I also recommend using Observable as a website builder-lite. The next outstanding notebook in March was *[Hello, Ruffle!](https://observablehq.com/@mootari/ruffle-js)* by [@mootari](https://observablehq.com/@mootari). The Observablehq community has a tradition of bringing in new technologies onto the platform via an introductory notebook called *hello X*, so this notebook was about getting [Ruffle](https://ruffle.rs/) running. Ruffle is a *Rust* implementation of Adobe Flash compiled to WASM for use on the WEB, so now you can start playing your favourite Flash experiences on Observable! Our third winner of March was [Shape interpolations with flubber](https://observablehq.com/@neocartocnrs/shape-interpolations-with-flubber) by [@neocartocnrs](https://observablehq.com/@neocartocnrs). Flubber is an animation library that lets you interpolate between arbitrary SVG shapes. I think this notebook did well because it has some great interactive demos that both wow and and reveal the limitations of [Flubber](https://github.com/veltman/flubber). It is tactile, honest and informative which are great ingredients for a successful computational notebook! If you like that one you will probably also like [https://observablehq.com/@tophtucker/recreating-ostlings-regression-visualizations](https://observablehq.com/@tophtucker/recreating-ostlings-regression-visualizations) by [@tophtucker](https://observablehq.com/@tophtucker) which is a very informative set of demonstrations of linear interpolation gotchas. Talk to you next month! Here are all the [trending](https://twitter.com/trendingnotebo2) notebooks of March in their own words. 35:[{"id":"da685df43d0a31ac559a6548d5bdd5c1d92483adad105b449af4b7eca9763cc6e67fc05f266615e15a336555f4120a720a15b5bf444116e3623f7c68a5087d50","href":"https://static.observableusercontent.com/files/da685df43d0a31ac559a6548d5bdd5c1d92483adad105b449af4b7eca9763cc6e67fc05f266615e15a336555f4120a720a15b5bf444116e3623f7c68a5087d50","name":"fetchedMeta (2).json","type":"application/json","lastModified":1648798310320.923,"size":15861},{"id":"067dd226a62449ee708b04976279e6f069d1992769afe671fdf2c5000e59fad8258e08e4fb79fdac762f6b9f56247a6e3d23c8bf0197887089e30234c36d7c5c","href":"https://static.observableusercontent.com/files/067dd226a62449ee708b04976279e6f069d1992769afe671fdf2c5000e59fad8258e08e4fb79fdac762f6b9f56247a6e3d23c8bf0197887089e30234c36d7c5c","name":"fetchedMetadata 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32:{"id":"ae4483daa1dab42a","slug":"notebooks-2022-03","title":"Inspiring Notebooks of March 2022","thumbnail":"71ffc2979e66d47f6137f203fdc4c4ae140aeeb95d2c0b01fcc93b58681ecccb","access_level":"public","create_time":"$D2022-04-01T07:31:50.320Z","update_time":"$D2022-04-01T08:30:21.054Z","view_time":null,"first_public_time":"$D2022-04-01T08:27:13.466Z","has_unpublished_edits":null,"fork":{"id":"a59f73c52270ff23","slug":"notebooks-2022-02","title":"Top Notebooks of February 2022","owner":{"id":"7db5ed2b0697d645","login":"tomlarkworthy","name":"Tom Larkworthy"}},"stars":4,"starred":false,"owner":{"type":"team","id":"7db5ed2b0697d645","login":"tomlarkworthy","name":"Tom Larkworthy","avatar_url":"https://avatars-next.observableusercontent.com/47327a8bc1966f2186dcb3ebf4b7ee6e4e7ab9a5c2a07405aff57200ea778f71","tier":"starter_2024"},"version":466,"publish_version":466,"role":null,"authored":false,"authors":[{"type":"individual","id":"5215f6ec4a999d40","login":"tomlarkworthy","name":"Tom 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value, sort: Math.random() }))\n .sort((a, b) => a.sort - b.sort)\n .map(({ value }) => value);\n return htl.html`${Array.from({\n length: 5\n }).map(\n (__, j) =>\n htl.html.fragment`${Array.from({\n length: 4\n }).map((__, i) => {\n const notebook = data[i + j * 4];\n if (notebook === undefined) return;\n return htl.html.fragment``\n )}

\n \n

`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":0,"value":"It's my favourite part of the month when I get to review what has happened recently on the [Observable](https://observablehq.com/) Dataviz platform. This month, three notebooks had very similar engagement as measured by the Twitter analytics of the [Trending Notebook Bot](https://twitter.com/trendingnotebo2).\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":15,"value":"### Engagement, Impressions, Likes and Retweets","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":12,"value":"Plot.plot({\n x: {\n domain: [0, 500]\n },\n y: {\n domain: [0, 25]\n },\n marks: [\n Plot.image(\n [...data].sort((x) => x.impressions),\n {\n x: \"impressions\",\n y: \"engagements\",\n width: \"importance\",\n title: \"title\",\n src: \"thumbnail\"\n }\n ),\n Plot.text(data, {\n text: (d) =>\n Array.from({ length: d.likes })\n .map((_) => \"❤️\")\n .join(\"\") +\n Array.from({ length: d.retweets })\n .map((_) => \"🔁\")\n .join(\"\"),\n x: \"impressions\",\n y: \"engagements\"\n })\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":168,"value":"viewof scaling = Inputs.range([0, 1], { value: 0.21 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":172,"value":"viewof offset = Inputs.range([0, 100], { value: 39 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":304,"value":"viewof cutoff = Inputs.range([0, data.length], {\n value: 5,\n step: 1,\n label: \"cutoff\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":378,"value":"$34","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":278,"value":"md`${content}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":275,"value":"content = {\n let markdown = \"\";\n for (let i = 0; i < cutoff; i++) {\n const notebook = data[i];\n const author = /(@[^)]+)/.exec(notebook.author)[1];\n markdown += `### [${notebook.title}](${notebook.url}) by [${author}](https://observablehq.com/${author}) \\n`;\n markdown += `\\n`;\n markdown += `\\n[![](${notebook.thumbnail})](${notebook.url})\\n`;\n markdown += `\\n${notebook?.description || \"No description provided\"}\\n`;\n markdown += `\\n`;\n markdown += \"\\n---\\n\";\n }\n\n markdown += `\\n`;\n\n markdown += `These other notebooks also trended in ${month}\\n`;\n for (let i = cutoff; i < data.length; i++) {\n const notebook = data[i];\n const author_match = /(@[^)]+)/.exec(notebook.author);\n if (!author_match) throw new Error(JSON.stringify(notebook));\n const author = author_match[1];\n markdown += `#### [${notebook.title}](${notebook.url}) by [${author}](https://observablehq.com/${author}) \\n`;\n }\n\n return markdown;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":422,"value":"month = \"March\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":138,"value":"data = tweets\n .map((tweet, i) => ({\n ...tweet,\n ...meta[i],\n ...metadata[i],\n ...tags[i],\n thumbnail: thumbnailURL(i),\n importance: tweet.impressions * scaling + offset\n }))\n .sort((a, b) => b.impressions - a.impressions)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"tweets = (\n await FileAttachment(\n \"tweet_activity_metrics_trendingnotebo2_20220301_20220401_en.csv\"\n ).csv()\n).map((x) => ({\n ...x,\n engagements: parseFloat(x.engagements),\n impressions: parseFloat(x.impressions),\n likes: parseFloat(x.likes),\n retweets: parseFloat(x.retweets)\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":82,"value":"viewof fetchNotebookURL = Inputs.toggle({\n label: \"fetch notebook URL? (network, slow)\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":73,"value":"expandTwitterURL = async (shortURL) => {\n const response = await fetch(shortURL);\n if (response.status !== 200)\n throw new Error(`fetch to ${shortURL} resulted in ${response.status}`);\n const body = await response.text();\n return /URL=([^\"]*)\"/.exec(body)[1];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":84,"value":"fetchedNotebookURL = {\n if (!fetchNotebookURL) return invalidation;\n const notebooks = new Array(tweets.length);\n for (let i = 0; i < tweets.length; i++) {\n const shortcode = /(https:\\/\\/t.co\\/[0-9a-zA-Z]*) https:\\/\\/t.co\\/[0-9a-zA-Z]*$/.exec(\n tweets[i][\"Tweet text\"]\n );\n if (!shortcode) {\n console.error(tweets[i]);\n throw Error(JSON.stringify(tweets[i]));\n }\n notebooks[i] = expandTwitterURL(shortcode[1]);\n }\n return Promise.all(notebooks);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":104,"value":"notebookURL = FileAttachment(\"fetchedNotebookURL (3).json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":65,"value":"viewof fetchMetdata = Inputs.toggle({\n label: \"fetch metadata? (network, slow)\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":67,"value":"fetchedMetadata = {\n if (!fetchMetdata) return invalidation;\n\n const metadata = new Array(tweets.length);\n for (let i = 0; i < tweets.length; i++) {\n metadata[i] = await getMetadata(\n notebookURL[i].replace(\"https://observablehq.com/\", \"\")\n );\n }\n return metadata;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":123,"value":"metadata = FileAttachment(\"fetchedMetadata (4).json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"viewof fetchMeta = Inputs.toggle({\n label: \"fetch doc meta? 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