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"01/01/2081" }, { "Year": 2082, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10422175000, "Higher": null, "Lower": null, "Date": "01/01/2082" }, { "Year": 2083, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10425871000, "Higher": null, "Lower": null, "Date": "01/01/2083" }, { "Year": 2084, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10428582000, "Higher": null, "Lower": null, "Date": "01/01/2084" }, { "Year": 2085, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10430313000, "Higher": null, "Lower": null, "Date": "01/01/2085" }, { "Year": 2086, "UN": 10431046000, "IHME": null, "IIASA": null, "UN_Historical": 10431046000, "Higher": null, "Lower": null, "Date": "01/01/2086" }, { "Year": 2087, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10430807000, "Higher": null, "Lower": null, "Date": "01/01/2087" }, { "Year": 2088, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10429728000, "Higher": null, "Lower": null, "Date": "01/01/2088" }, { "Year": 2089, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10427933000, "Higher": null, "Lower": null, "Date": "01/01/2089" }, { "Year": 2090, "UN": 10425269000, "IHME": 9200632391, "IIASA": 9173133000, "UN_Historical": 10425269000, "Higher": null, "Lower": null, "Date": "01/01/2090" }, { "Year": 2091, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10421813000, "Higher": null, "Lower": null, "Date": "01/01/2091" }, { "Year": 2092, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10417482000, "Higher": null, "Lower": null, "Date": "01/01/2092" }, { "Year": 2093, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10412438000, "Higher": null, "Lower": null, "Date": "01/01/2093" }, { "Year": 2094, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10406544000, "Higher": null, "Lower": null, "Date": "01/01/2094" }, { "Year": 2095, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10400000000, "Higher": null, "Lower": null, "Date": "01/01/2095" }, { "Year": 2096, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10392611000, "Higher": null, "Lower": null, "Date": "01/01/2096" }, { "Year": 2097, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10384423000, "Higher": null, "Lower": null, "Date": "01/01/2097" }, { "Year": 2098, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10375354000, "Higher": null, "Lower": null, "Date": "01/01/2098" }, { "Year": 2099, "UN": null, "IHME": null, "IIASA": null, "UN_Historical": 10365536000, "Higher": null, "Lower": null, "Date": "01/01/2099" }, { "Year": 2100, "UN": 10355002000, "IHME": 8785553665, "IIASA": 8948235000, "UN_Historical": 10355002000, "Higher": 14800000000, "Lower": 6773133000, "Date": "01/01/2100" } ] // }46:[] 43:{"id":"65a110a4835b2164","slug":null,"title":" Deneb (Vega-Lite) Showcase ","thumbnail":"731e13b3643bb5e30ae3024d32456a6c22bdd21155a3b9a0b7382e5b0f03ce50","access_level":"public","create_time":"$D2023-11-11T20:31:27.985Z","update_time":"$D2023-11-11T21:01:35.921Z","view_time":null,"first_public_time":"$D2023-11-11T20:31:27.985Z","has_unpublished_edits":null,"fork":{"id":"4c64412ef0575941","slug":"notebook-template","title":" NotebookTitle ","owner":{"id":"8535cc563d5b77a4","login":"pbiqueryous-templates","name":"PQI Queryous Templates"}},"stars":0,"starred":false,"owner":{"type":"team","id":"0ed04f365ec32e6d","login":"pbiqueryous","name":"Vega-Lite for Deneb in PowerBI","avatar_url":"https://avatars-next.observableusercontent.com/e29cba4009f63490b2e844f375dbd2fb18aa7b45714b154178fd511fe19c1305","tier":"starter_2024","bio":"","following":false},"version":233,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"095ccf69e3466ab9","login":"pbi-queryous","name":"PBI Queryous","avatar_url":"https://avatars-next.observableusercontent.com/0e362e0326315a8b72bf30cfe2bf107a47fb597d0f8798eeb7f6330b2bbb725a","tier":null,"bio":"","following":false}],"members":[{"type":"team","id":"0ed04f365ec32e6d","login":"pbiqueryous","name":"Vega-Lite for Deneb in PowerBI","avatar_url":"https://avatars-next.observableusercontent.com/e29cba4009f63490b2e844f375dbd2fb18aa7b45714b154178fd511fe19c1305","tier":"starter_2024","role":"editor"},{"type":"individual","id":"095ccf69e3466ab9","login":"pbi-queryous","name":"PBI Queryous","avatar_url":"https://avatars-next.observableusercontent.com/0e362e0326315a8b72bf30cfe2bf107a47fb597d0f8798eeb7f6330b2bbb725a","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":" Deneb (Vega-Lite) Showcase ","cells":[{"id":0,"value":"# **Deneb (Vega-Lite) Showcase**
\n _NotebookSubtitle_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":11,"value":"md`🧙‍♂️ [GitHub Repos](https://github.com/PBIQueryous) | 🕊️ [Twitter](https://twitter.com/PBIQueryous)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"---\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":59,"value":"contents(\"h1, h2, h3\", \"My Table of Contents\", true)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":125,"value":"mdhl` \n##

Import Data\n### UN Population Projection Data\n\nWe can also utilise Vega's data repository from Github...\n\n~~~js \n • vegaData = require(\"vega-datasets@1\", \"vega-datasets@2\") // import vega_datasets \n~~~\n\n...and then select a dataset\n\n~~~js\n • exampleDataCars = vegaData[\"cars.json\"]() // load and parse cars data\n~~~\n\n...and display the top, slicing for the top 20 rows\n\n~~~js\n • show(exampleDataCars.slice(0, 20))\n • exampleDataCars = vegaData[\"cars.json\"]() // load and parse cars data\n~~~\n${show(exampleDataCars.slice(0, 20), undefined, \"*\")}\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":153,"value":"mdhl`\nInputDummyData - formatted markdown:\n\n~~~js\n\"data\": {\n \"values\": [\n {\"Column1\": \"A\", \"Column2\": 28}, {\"Column1\": \"B\", \"Column2\": 55}, {\"Column1\": \"C\", \"Column2\": 43}, \n {\"Column1\": \"D\", \"Column2\": 91}, {\"Column1\": \"E\", \"Column2\": 81}, {\"Column1\": \"F\", \"Column2\": 53},\n {\"Column1\": \"G\", \"Column2\": 19}, {\"Column1\": \"H\", \"Column2\": 87}, {\"Column1\": \"I\", \"Column2\": 52}\n ]\n}\n~~~\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":152,"value":"
\nDummyText","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":151,"value":"$45","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":149,"value":"showtypes(dataObject)","pinned":true,"hidden":true,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":143,"value":"##### I'll try and alternative method using _viewof_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":142,"value":"viewof selection = Inputs.table(dataObject, { /* width: 800, */ required: false })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":141,"value":"selection // now I can return the columns as an array","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":140,"value":"mdhl`
\n\nWe can rename the columns as necessary\n> **Renamed Table:**\n>\n${Inputs.table(dataObject, {\n columns: [\"Year\", \"UN_Historical\"],\n header: {\n Column1: \"YearNUM\",\n Column2: \"UN_Historic_Population\"\n },\n width: 250,\n required: false\n})}\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":139,"value":"mdhl`#### Example\nReturn the table as a **_viewof_** object\n~~~js\n import {textcolor} from \"@observablehq/text-color-annotations-in-markdown\"\n viewof viewDataObject = Inputs.table(dataObject, { width: 1000 })\n~~~\n${Inputs.table(dataObject, { width: 1000 })}\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":138,"value":"viewof dataObjectAndColumns = Inputs.table(dataObject, { width: 1000 })","pinned":true,"hidden":true,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":137,"value":"#### Example:\nReturn the table as an array object, including the data and list of columns","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":135,"value":"viewof dummyDataView = Inputs.table(dummyData, { width: 500 })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":134,"value":"
\nDisplay the table as a proper Table and derive new columns!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":133,"value":"DummyDataTable = dummyDataView","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"DummyDataTable","database":"$undefined"},{"id":132,"value":"
\nDisplay the data as a SQL table and use SQL to add columns!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":131,"value":"SELECT Product, Company, Sales, CASE WHEN Sales > 1500 THEN 'Expensive' ELSE 'Cheap' END AS \"NewCol\"\n FROM \"dummyDataView\"\nWHERE \"Sales\" >= ${1500}\nORDER BY \"Company\" ASC\nLIMIT 5 OFFSET 0","pinned":true,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"var:dummyDataView"},{"id":130,"value":"// Here I am definine my data as a JSON array\ndummyData = [\n { Product: \"Tasmanian Tiger Laptop\", Company: \"Falcon Systems\", Sales: 1500 }, // row 1\n { Product: \"Quagga Pro Laptop\", Company: \"Hawk Electronics\", Sales: 2200 }, // row 2\n { Product: \"DodoBook Laptop\", Company: \"Eagle Computing\", Sales: 1800 }, // row 3 etc...\n {\n Product: \"Thylacine Elite Laptop\",\n Company: \"Owl Innovations\",\n Sales: 2700\n },\n { Product: \"Saber-Toothed Tiger PC\", Company: \"Falcon Systems\", Sales: 1300 },\n { Product: \"Megalodon Max PC\", Company: \"Eagle Computing\", Sales: 2100 },\n { Product: \"Dire Wolf Laptop\", Company: \"Hawk Electronics\", Sales: 2400 },\n {\n Product: \"Giant Sloth Pro Laptop\",\n Company: \"Owl Innovations\",\n Sales: 1900\n },\n { Product: \"QuokkaBook Pro Laptop\", Company: \"Owl Innovations\", Sales: 2800 },\n { Product: \"Aurochs Plus PC\", Company: \"Falcon Systems\", Sales: 1400 }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":129,"value":"Object.keys(dummyDataView[0])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":124,"value":"show(exampleDataCars.slice(0, 20), undefined, \"*\")","pinned":true,"hidden":true,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":123,"value":"mdhl`\nHere we can:\n\\* display the table\n\\* filter top 20 rows\n\\* select columns\n\\* define the width of the table view\n\n~~~js\n • show(exampleDataCars.slice(0, 20), [\"Name\", \"Horsepower\"], 200)\n • show(exampleDataCars.slice(start as int, end as int), [\"Column1\", \"Column2\"], width as integer)\n~~~\n\n> **block quote** this and try this \n${show(exampleDataCars.slice(0, 20), [\"Name\", \"Horsepower\"], 200)}\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":122,"value":"show(exampleDataCars.slice(0, 20), [\"Name\", \"Horsepower\"], 200)","pinned":true,"hidden":true,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":232,"value":"VegaLite()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"

\n# Appendix","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":54,"value":"#### _datasets_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":101,"value":"vegaData = require(\"vega-datasets@1\", \"vega-datasets@2\") // import vega_datasets","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":103,"value":"Object.keys(vegaData) // view object names as list","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":107,"value":"exampleDataCars = vegaData[\"cars.json\"]() // load and parse cars data","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":109,"value":"vegaData[\"cars.json\"].url","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":98,"value":"#### external libraries","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":47,"value":"#### _my libraries_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":56,"value":"import { showMe } from \"@pbiqueryous-repo/show-me\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":42,"value":"import {\n try_it as addNote,\n note as note,\n details as details\n} from \"@pbiqueryous-repo/callout-boxes\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":49,"value":"import { style, selectingCells } from \"@pbiqueryous-repo/keyboard-shortcuts\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":40,"value":"import { vegaDataViewer } from \"@pbiqueryous-repo/vega-data-viewer\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":23,"value":"import {\n toc as contents, // src = import { toc as contents } from \"@jonfroehlich/collapsible-toc\"\n indenttoc as indenttoc,\n fmt as fmt,\n hl as mdhl,\n printVegaJSON as printVega,\n vegalite as VegaLite,\n vegaEmbed as Vega,\n printTableTypes as showtypes, // src = import { printTableTypes } from \"@jonfroehlich/data-utilities\"\n printTable as show, // src = import { printTable as showtable } from \"@jonfroehlich/data-utilities\"\n note as note\n} from \"@pbiqueryous-repo/tools\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"---\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"}],"files":"$W46","stdlib":"1"}} 44:"$43:body"