25:["$","title",null,{"children":"Introduction to data wrangling and analysis in JavaScript - Session 4 Key | Izaac Gingerich's Workspace | Observable"}] 49:T559,All course materials: - Session 1: [Recording](https://www.youtube.com/watch?v=8vaEcca3iBk&t=60s) | [Slides](https://docs.google.com/presentation/d/e/2PACX-1vQfqImdbMKmUcnO3agCwH3FYXxD4JM37mXbXooApHC14LNOxsYLlKVjUWFXCyxL1Dm_ogaFreDTqg8n/pub?start=false&loop=false&delayms=3000) | [Follow-along notebook](https://observablehq.com/@demoteam/intro-js-session-1) - Session 2: [Recording](https://www.youtube.com/watch?v=jPUFr6QktQs&t=10s) | [Slides](https://docs.google.com/presentation/d/e/2PACX-1vREbGCYcWAUeQeTdWuEmogi2iHio2anw890AY0v1fH3s1HkOfxzlm6FbrqqPl8qjnVG_U1BIKgiR0iP/pub?start=false&loop=false&delayms=3000) | [Follow-along notebook](https://observablehq.com/@demoteam/intro-js-session-2) - Session 3: [Recording](https://www.youtube.com/watch?v=4zIfU1rVcPU&t=1s) | [Slides](https://docs.google.com/presentation/d/e/2PACX-1vQqFhwxLmgtNyLn3WSnKya2S_1LaJ45SdcHA_h4ATqAn9_TSbs9NqiLignJXuf1znm627gQuPCLleqt/pub?start=false&loop=false&delayms=3000) | [Follow-along notebook](https://observablehq.com/@demoteam/intro-js-session-3) - Session 4: [Recording](https://www.youtube.com/watch?v=Ov-NtAj6Ais&t=12s) | [Slides](https://docs.google.com/presentation/d/e/2PACX-1vQYM1misfDLO2jgbXq3f8SJ48OT__1qbT3yjmbZYe7RK72Pyvlus4iOdC3jOzs0yRKjuQxuxTWM6e5X/pub?start=false&loop=false&delayms=3000) | [Follow-along notebook](https://observablehq.com/@demoteam/intro-js-session-4)4a:[{"id":"486fdc7682ad42a8e2733f0d5a5845b4a3c029d05c82ae98313cb1849eb8a1bb35dac7c10e11b206c64b92a94f6ea9da450ab0bc4991c9258eb9502e7708a329","href":"https://static.observableusercontent.com/files/486fdc7682ad42a8e2733f0d5a5845b4a3c029d05c82ae98313cb1849eb8a1bb35dac7c10e11b206c64b92a94f6ea9da450ab0bc4991c9258eb9502e7708a329","name":"us_imports.csv","type":"text/csv","lastModified":1696531599217.828,"size":74347}] 29:{"id":"88d184cbf4677643","slug":null,"title":"Introduction to data wrangling and analysis in JavaScript - Session 4 Key","thumbnail":"49e3b8e7b5c25c76853ac31b4ed41e895e2facb91573182f4e68e995d0ccb899","access_level":"public","create_time":"$D2023-10-05T18:46:39.217Z","update_time":"$D2023-10-06T12:33:36.149Z","view_time":null,"first_public_time":"$D2023-10-05T18:46:39.217Z","has_unpublished_edits":null,"fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"0af0c9cf15f1645c","login":"izaac-gingerich-ws","name":"Izaac Gingerich's Workspace","avatar_url":"https://avatars-next.observableusercontent.com/8ab57c047e0bdd0d1dfb04784efd7f488a9485c7cc4fd48ea8e6c07be100d312","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":102,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"550b95b8d0930d8a","login":"izaac-gingerich","name":"Izaac Gingerich","avatar_url":"https://avatars-next.observableusercontent.com/c512a418c11e4286f31a225f857f3f4aeb1f97c608612e1d5dbd2a68ed04409f","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"550b95b8d0930d8a","login":"izaac-gingerich","name":"Izaac Gingerich","avatar_url":"https://avatars-next.observableusercontent.com/c512a418c11e4286f31a225f857f3f4aeb1f97c608612e1d5dbd2a68ed04409f","tier":null,"role":"editor"},{"type":"team","id":"0af0c9cf15f1645c","login":"izaac-gingerich-ws","name":"Izaac Gingerich's Workspace","avatar_url":"https://avatars-next.observableusercontent.com/8ab57c047e0bdd0d1dfb04784efd7f488a9485c7cc4fd48ea8e6c07be100d312","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"b9a96c63542469df","slug":"4-hour-observable-workshop-izaac-gingerich","title":"4 Hour Observable Workshop - Izaac Gingerich","owner":{"id":"0af0c9cf15f1645c","login":"izaac-gingerich-ws","name":"Izaac Gingerich's Workspace"}},"type":"notebook","body":{"titling":"auto","title":"Introduction to data wrangling and analysis in JavaScript - Session 4 Key","cells":[{"id":4,"value":"# Introduction to data wrangling and analysis in JavaScript - Session 4 Key","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"$49","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6,"value":"## Today: \n\n- Recap & warmup activity\n- Math transforms (e.g. log transform)\n- Interactive charts for exploration with Observable Plot","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":7,"value":"---\n## Activity 1 - Warm up","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":8,"value":"Here's an array named _fishing_. We'll recap some methods we've practiced over the past few days. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":9,"value":"fishing = [{river: \"San Juan\", species: \"rainbow\", lengthInches: 18.2},\n {river: \"San Juan\", species: \"brown\", lengthInches: 14.1},\n {river: \"San Juan\", species: \"brown\", lengthInches: 21.5},\n {river: \"Rio Grande\", species: \"brown\", lengthInches: 9.0},\n {river: \"Rio Grande\", species: \"brown\", lengthInches: 12.5},\n {river: \"Rio Grande\", species: \"cutthroat\", lengthInches: 10.6},\n {river: \"Rio Grande\", species: \"brown\", lengthInches: 14.5},\n {river: \"Rio Chama\", species: \"rainbow\", lengthInches: 8.5},\n {river: \"Rio Chama\", species: \"rainbow\", lengthInches: 11.5}]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"### A. Add a data table cell below to take a look at *fishing*!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":48,"value":"fishing","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":11,"value":"

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":12,"value":"### B. Do the following tasks with the *fishing* array to practice skills from Sessions 1 - 3!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":13,"value":"//Group the data by species, then get an array of objects for rainbow trout.\nd3.group(fishing, d => d.species).get(\"rainbow\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":14,"value":"Aside: How else could we get the same subset with filter? ","pinned":true,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":15,"value":"fishing.filter(d => d.species === \"rainbow\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"// Find the mean trout length by river, then get the mean length for the San Juan River:\nriverTroutSize = d3.rollup(\n fishing,\n (v) => d3.mean(v, (d) => d.lengthInches),\n (d) => d.river\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"// Get just the mean trout size for the San Juan River:\nriverTroutSize.get(\"San Juan\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"---\n## Activity 2","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":19,"value":"The *us_imports* data contains a subset of records from the [US Trade Shift report](https://www.usitc.gov/research_and_analysis/trade_shifts.htm), and contains the value (USD) of various imports (by sector and title) for 2015 - 2019 (accessed from data.gov). ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":20,"value":"// Load the us_imports.csv file (attached in this notebook):\nus_imports = FileAttachment(\"us_imports.csv\").csv({typed: true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"---\n### Add a data table cell below to take a look at *us_imports*!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":22,"value":"- Click on the plus sign (+) in the left margin to open the Add cell menu\n- Start typing \"data table\" to find the Data table cell\n- Click to insert an empty Data table cell in your notebook\n- Select *us_imports* as a source in the Data table cell","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":23,"value":"us_imports","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":24,"value":"---\n### Math transforms!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":25,"value":"// Return an array of all values in the 'value' property of us_imports, log transformed\nus_imports.map(d => Math.log(d.value))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":26,"value":"What if we want to add this as a new column? ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":27,"value":"// Create a new array, usLogValue, containing all existing properties and ADDING the log transformed value as a property named logValue:\nusLogValue = us_imports.map(d => ({...d, logValue: Math.log(d.value)}))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":28,"value":"Other [Math](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math) operations we may want to try: \n\n- `Math.log`: natural log\n- `Math.log10`: log base 10 of a number\n- `Math.exp`: exponentiate (base _e_)\n- `Math.sqrt`: square root\n\nAnd properties: \n\n- Math.E\n- Math.PI","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":29,"value":"---\n## Activity 3\n\nCreate a histogram of the log-transformed values (logValue) in _usLogValue_:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":30,"value":"Plot.plot({\n marks: [\n Plot.rectY(usLogValue, Plot.binX({ y: \"count\" }, { x: \"logValue\" })),\n Plot.ruleY([0])\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":31,"value":"But we can also do this within Observable Plot:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":32,"value":"Plot.plot({\n marks: [\n Plot.rectY(us_imports, Plot.binX({y: \"count\"}, {x: d => Math.log(d.value)})),\n Plot.ruleY([0])\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":58,"value":"Plot.plot({\n marks: [\n Plot.auto(usLogValue, {x: {value: \"logValue\", reduce: \"sum\"}, y: \"Sector\", fx: \"year\"})\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":66,"value":"Plot.plot({\n marks: [\n Plot.frame({ strokeOpacity: 0.1 }),\n Plot.barX(\n usLogValue,\n Plot.groupY(\n { x: \"sum\" },\n { fx: \"year\", x: \"logValue\", y: \"Sector\", tip: true }\n )\n ),\n Plot.ruleX([0]) \n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":35,"value":"---\n## Activity 4","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":36,"value":"## Visualization continued - Reducing, customizing, and adding interactivity!","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":37,"value":"Observable Inputs are lightweight user interface elements (sometimes called widgets) that let a user change selected values, ranges, colors, and more - and are usually connected to data or charts to make them dynamic.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":38,"value":"Sector keys: \n\n- AG: Agricultural products\n- CH: Chemicals and related products\n- EL: Electronic products\n- EP: Energy-related products\n- FP: Forest products\n- FW: Footwear\n- MM: Minerals and metals\n- MS: Miscellaneous manufactures\n- MT: Machinery\n- TE: Transportation equipment\n- TX: Textiles and apparel\n- XX: Special product classifications in HTS chapters 98 and 99","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":40,"value":"viewof height = Inputs.range([400, 1200], {label: \"Chart height:\", step: 1})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":86,"value":"viewof pickSector = Inputs.radio(us_imports.map(d => d.Sector), {label: \"Select one\", value: \"AG\", unique: true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":99,"value":"viewof pickColor = Inputs.color({label: \"Pick yout favorite background color\", value: \"#c0ff33\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"Plot.plot({\n marks: [\n Plot.auto(us_imports, {x: {value: \"value\", reduce: \"sum\"}, y: \"Sector\"})\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":94,"value":"Plot.plot({\n marks: [\n Plot.barX(\n us_imports,\n Plot.groupY(\n { x: \"sum\" }, \n { \n x: \"value\", \n y: \"Sector\", \n fill: (d) => (d.Sector === pickSector ? \"red\": pickColor),\n sort: {y : \"x\", reverse: true}})\n ),\n Plot.ruleX([0])\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":0,"value":"# Untitled","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"}],"files":"$W4a","stdlib":"1"}} 24:null