31:[] 2f:{"title":"Part 3: Digging deeper (Bonus section😉)","cells":[{"id":0,"value":"# Part 3: Digging deeper (Bonus section😉)","pinned":false,"hidden":false,"mode":"md"},{"id":58,"value":"heading(\n \"Finding default intervals for numerical data\",\n 1,\n k,\n \"blue\"\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":38,"value":"- d3.bin() offers different ways to find intervals\n- you can define your own algorithm\n- ... or use k-means clustering\n

","pinned":false,"hidden":false,"mode":"md"},{"id":41,"value":"draw_buckets(bin25, distributions)","pinned":false,"hidden":false,"mode":"ojs"},{"id":49,"value":"viewof chunks = Inputs.range([2, 20], {\n value: 10,\n step: 1,\n label: \"# of intervals\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":43,"value":"viewof distributions = select_distribution(\"Uniform\", \"\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":65,"value":"\n

\n---","pinned":false,"hidden":false,"mode":"md"},{"id":68,"value":"heading(\n \"Dealing with a large number of categories\",\n 2,\n k,\n \"blue\"\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":80,"value":"\n- mapping categories to colors is limited to a small number\n- one strategy is to reduce the number of categories \n- let's do this interactively by deciding the size of \"other\"\n\ncredit: Heman Robinson @heman, see https://observablehq.com/@heman/top-n-binning\n

","pinned":false,"hidden":false,"mode":"md"},{"id":102,"value":"cat1","pinned":false,"hidden":false,"mode":"ojs"},{"id":110,"value":"

\n---","pinned":false,"hidden":false,"mode":"md"},{"id":84,"value":"heading(\"Multiple Dimensions\", 3, k, \"blue\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":78,"value":"\n- you can extend this approach to multiple dimensions\n- e.g. create a heatmap with categorical and continuous binning\n\ncredit: Heman Robinson @heman, see https://observablehq.com/@heman/top-n-binning\n

","pinned":false,"hidden":false,"mode":"md"},{"id":105,"value":"cat2","pinned":false,"hidden":false,"mode":"ojs"},{"id":115,"value":"

\n---","pinned":false,"hidden":false,"mode":"md"},{"id":76,"value":"---\n

\n### Appendix","pinned":false,"hidden":false,"mode":"md"},{"id":45,"value":"import {\n draw_buckets,\n bin25,\n select_distribution\n} with { chunks as chunks } from \"@d3/d3-bin\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":74,"value":"import { cat1, cat2 } from \"@ee2dev/dynamic-top-n-and-binning\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":4,"value":"import { heading } from \"@ee2dev/formatting-in-observable\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":36,"value":"k = 3","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W31","stdlib":"1","titling":"auto"}