25:["$","title",null,{"children":"Stinky Project - Prototype 2 | joffreycodes | Observable"}] 49:T40e,Odour can be defined as a mixture of gases in the air that we can smell, which can both be pleasant or unpleasant smells (Victoria, 2020). Odour pollution refers to these unpleasant smells, which although can simple be unpleasant, it can have other risks associated with it. Milder negative externalities include feelings of duscodt or discomfort, which can lead to headaches, nausea, vomiting and also behavioural changes. (Shukla, 1991) It has been proven that our sense of smell gives a startling fast response to potentially dangerous situations, jerking us away from the stench and less willing to be in the source area as much (Genter, 2019). The surrounding houses and businesses have the potential of being greatly impacted if nobody wants to go around that area. More serious health effects can occur when the negative smells are also toxic in its nature, particularly to the respiratory system. Soot and dust are common smells that are cancerous and can damage our lungs and have a knock on effect on our body (Niranjan, 2017). 4a:T454,smellDensityMap = { let container = DOM.element('div', {style: `width:${width}px;height:${width/1.6}px` }); yield container; let map = L.map(container).setView([avgLat, avgLong], 14); let osmLayer = L.tileLayer('https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}@2x.png', { attribution: '© OpenStreetMap contributors' }).addTo(map); let smellPoints = weatherGeoJson.map(feature => feature.geometry.coordinates.slice().reverse().concat([0.2])); let smellLayer = L.heatLayer(smellPoints).addTo(map); let terminalOverlay = L.geoJson(terminalsLocationDataCollection, { pointToLayer: function (feature, latlng) { let c = feature.properties.TerminalName; return L.circleMarker(latlng, { radius: 5, color: "#000", weight: 0, opacity: 0.8, fillOpacity: 1, // fillColor: colorRamp(c) fillColor: "red" }); }, onEachFeature: function (feature, layer) { layer.bindTooltip("Terminal: " + feature.properties.TerminalName); } }).addTo(map); }4b:T83e,mymap = { let h = width < 600 ? width + 200 : width * 0.75, z = width < 600 ? 6.5 : 7, container = DOM.element("div", { style: `width:${width}px;height:${h}px` }); yield container; let map = L.map(container).setView([43.64, -70.26], 13); // initializes the map, sets zoom & coordinates let osmLayer = L.tileLayer( "https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}@2x.png", { attribution: '© OpenStreetMap contributors' } ).addTo(map); let parcelOverlay = L.geoJson(stinkyDataCollection, { pointToLayer: function (feature, latlng) { let c = feature.properties.smellValue; return L.circleMarker(latlng, { radius: 2, color: "#000", weight: 0, opacity: 0.8, fillOpacity: 1, fillColor: colorRamp(c) }); }, onEachFeature: function (feature, layer) { layer.bindTooltip( "DateTime: " + feature.properties.dateTime + "
Description: " + feature.properties.smellDescription ); } }).addTo(map); let terminalOverlay = L.geoJson(terminalsLocationDataCollection, { pointToLayer: function (feature, latlng) { let c = feature.properties.TerminalName; return L.circleMarker(latlng, { radius: 5, color: "#000", weight: 0, opacity: 0.8, fillOpacity: 1, // fillColor: colorRamp(c) fillColor: "blue" }); }, onEachFeature: function (feature, layer) { layer.bindTooltip("Terminal: " + feature.properties.TerminalName); } }).addTo(map); map.on("zoomend", function () { var currentZoom = map.getZoom(); let z = currentZoom > 14 ? 5 : 2; let s = currentZoom > 15 ? 1 : 0; parcelOverlay.eachLayer(function (marker) { marker.setRadius(z); marker.setStyle({ weight: s }); }); }); let legend = L.control({ position: "bottomleft" }); legend.onAdd = function (map) { var div = L.DomUtil.create("div", "legend"); return l; }; legend.addTo(map); }4c:T712,failedCode = {} // ### FAILED ATTEMPTS AT USING DEPRECATED VORONOI from D3 ### // // const svg = d3.select(DOM.svg(width, height)) // // ### BORROWED MOSTLY FROM https://observablehq.com/@harrystevens/mapping-gridded-data-with-a-voronoi-diagram ### // // svg.selectAll(".voronoi") // .data(voronoiGenerator(weatherGeoJson).polygons()) // // ### The voronoiGenerator function returns a null array with weatherGeoJson ### // // .enter().append("path") // .style("fill", d => d ? colorScale(d.data.properties.smell) : null) // .style("stroke", d => d ? colorScale(d.data.properties.smell) : null) // ### The fill is all black on the map likely because blocksOuter is a single polyon MultilineString ??? ### // // svg.append("path") // .datum(blocksInner) // .attr("class", "inner") // .attr("d", heatmapPath); // svg.append("path") // .datum(blocksOuter) // .attr("class", "outer") // .attr("d", heatmapPath); // ### OLD METHOD DISPLAYS CENSUS BLOCKS BUT NO HEATMAP ### // // svg.selectAll(".voronoi") // .data(voronoiGenerator(weatherGeoJson).polygons()) // .enter().append("path") // 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29:{"id":"c2397f201500cb0c","slug":"stinky-project-prototype-2","title":"Stinky Project - Prototype 2","thumbnail":"57b9fd3791ef006cef27bef9c0b7e31eddb155f17a45741e5595dca5a3bd0f79","access_level":"public","create_time":"$D2021-11-21T23:30:01.296Z","update_time":"$D2021-12-13T19:28:26.236Z","view_time":null,"first_public_time":"$D2022-06-16T01:21:39.061Z","has_unpublished_edits":null,"fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"f9892825073e583b","login":"joffreycodes","name":"","avatar_url":"https://avatars-next.observableusercontent.com/a3daa83fe1a1a6ddc1321466109b203411d300f9eb047199eabc07754c3e37be","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":3731,"publish_version":3731,"role":null,"authored":false,"authors":[{"type":"individual","id":"296a7098bf6416f0","login":"joffreycodes","name":"","avatar_url":"https://avatars-next.observableusercontent.com/a3daa83fe1a1a6ddc1321466109b203411d300f9eb047199eabc07754c3e37be","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"f468ccce5dd3a6a8","login":"elisa-ro","name":"","avatar_url":"https://avatars-next.observableusercontent.com/e016cb61dc2d4dc73a1ebe1b410c4efeb11a7caac48eaccba9214e6821b39bd8","tier":null,"role":"editor"},{"type":"individual","id":"c388dc09ac9778ad","login":"iellms","name":"","avatar_url":"https://avatars-next.observableusercontent.com/8f12d32ab65c210d79a373a00806e0561ff85e38248f90f8cb8fd39c6bb84311","tier":null,"role":"editor"},{"type":"individual","id":"296a7098bf6416f0","login":"joffreycodes","name":"","avatar_url":"https://avatars-next.observableusercontent.com/a3daa83fe1a1a6ddc1321466109b203411d300f9eb047199eabc07754c3e37be","tier":null,"role":"editor"},{"type":"individual","id":"db4639df060bf8aa","login":"kennsmithds","name":"Kendall Smith","avatar_url":"https://avatars-next.observableusercontent.com/b5d1e52e647c5e7fec928aa17307ca567b144ee07f040f4882020ce8d84206fe","tier":null,"role":"editor"},{"type":"individual","id":"e151b61ef71fc904","login":"pbogden","name":"pbogden","avatar_url":"https://avatars-next.observableusercontent.com/7691d2facf985b942cdf89fa28273672d4b7fb060b62cab329e61adce36a44b2","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":4,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Stinky Project - Prototype 2","cells":[{"id":0,"value":"# Stinky Project - Prototype 2","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1618,"value":"toc({\n headers: \"h1,h2,h3,h4\",\n hideStartingFrom: \"Appendix\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3620,"value":"* [Github Pages](https://ds5110.github.io/stinky/)\n* [Repo](https://github.com/ds5110/stinky)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2282,"value":"$49","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3,"value":"# Datasets","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":640,"value":"### SmellMyCity Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":14,"value":"The information below is described by the Stinky Dataset, found at https://github.com/ds5110/stinky. This dataset has information about odor complaints in Portland and South Portland, with the goal of creating an easy to read/act on visualization of bad smells around the city. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":134,"value":"stinkyData = d3.csvParse(await FileAttachment(\"smc@2.csv\").text())","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3224,"value":"# Smells in Portland, when are they happening?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3321,"value":"mymapOldIan","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3324,"value":"All of this data from all of the smell complaints can be overwhelming as the only clear discernible patterns relate to location. Perhaps there are other patterns that can be found if we look at when these complaints are occurring, specifically are there any weekly recurrences that we can find. Perhaps these can then be more easily tied to weekly industrial activity that can cause persistent problems for residents just trying to enjoy a breath of fresh air, or feel comfortable in their own home.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3328,"value":"## Thus, we group the complaints by the day of the week, and see our results here:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3228,"value":"Choose which day of the week to display below:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3275,"value":"viewof weekday","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3280,"value":"mymapIan","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3298,"value":"One advantage of looking at what days of the week these complaints are happening is that they can identify patterns in industrial behavior that lead to these awful smells in the first place. For example, there are an unusually high amount of complaints in West End on Wednesdays, mostly complaining of an acrid, petrochemical smell, with many complaints being directed specifically towards Barber foods. Perhaps this warrants an investigation in to trucking routes, as Barber foods is quite a bit north from this area, but it is interesting that there are complaints from several different locations on several different days all targeted at the same business.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3296,"value":"myChart","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3303,"value":"We can also see that most complaints happen on Mondays and Fridays, and thankfully the least complaints happen on Sundays, so maybe residents can enjoy more nice Sundays outdoors without worrying about their city stinking. However, across the board there are a lot of complaints on every day, so it is hard to pinpoint from this data which days are the worst in terms of smelling, or which days are actually just getting people to complain the most. More research and outreach to the community is needed to explain these trends.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3204,"value":"# Demographic and Weather Observations","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2537,"value":"md`## Where are the smells the most dense?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3263,"value":"From a very preliminary observation of where smells are the most dense, it would appear that the complaints reported are all within proximity the following 5 terminals - Sprague, Buckeye, Global and Portland Pipeline. The terminal locations are indicated in the red dots below, and appear in the middle of the river because that is where the oil tankers dock and connect to the terminal pipelines for offloading, etc. It is difficult from this view though to pinpoint if one specific company/terminal is responsible for the industrial smells residents complain about.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2565,"value":"$4a","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3468,"value":"For future steps with the map above, I plan to integrate time series animation of the smells between 2019/05/22 and 2021/07/23","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1645,"value":"### Zoning Restrictions in Portland","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1648,"value":"md`Here, the H1 - High industrial areas in Portland seem to have a correleation to the source of the smells - this will be determined as soon as I have access to the shapefiles - pending.\nThere seem to be three main clusters of smell reports, the top most is in the R-4 zoning, which classfies as residential. It borders more residential (R-6) and ROS (recreation open source) zoning.\n\nThe clusters around South Portland are also in residential areas (A, G) but with neighbouring commerical (C) and limited business zoning (LB).`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3213,"value":"## Portland ME Demographics","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3308,"value":"demographicChoropleth = {} // this will be a simple map drawn with geojson and choropleth with color values based on demographics","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3218,"value":"## Weather Time Series","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3407,"value":"### Time Series of Average Smell Ranking","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3405,"value":"Plot.plot({\n height: 300,\n padding: 0,\n y: {\n tickFormat: Plot.formatMonth(\"en\", \"short\")\n },\n marks: [\n Plot.cell(smellsDaily, Plot.group({fill: \"max\"}, {\n x: d => d.date.getUTCDate(),\n y: d => d.date.getUTCMonth(),\n fill: \"smell_value\",\n inset: 0.5\n }))\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3411,"value":"### Time Series of Weather Features","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3394,"value":"viewof weatherInput = Inputs.select(weatherFeatures, {label: \"Weather Feature\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3383,"value":"addLegend(\n Plot.plot({\n height: 300,\n padding: 0,\n y: {\n tickFormat: Plot.formatMonth(\"en\", \"short\")\n },\n marks: [\n Plot.cell(weatherDaily, Plot.group({fill: \"max\"}, {\n x: d => d.date.getUTCDate(),\n y: d => d.date.getUTCMonth(),\n fill: weatherInput,\n inset: 0.5\n }))\n ]\n }),\n colorLegend(colorScale)\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3433,"value":"From observing the average weather features we can determine a few things that might already be common sense, e.g. it's hottest in the summer and coolest in the winter, and the air is more humid in fall and spring, but summer has some humidity as well. The wind is also the strongest in winter into spring, which also coincides when there is a higher density of the worst smells reported.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3429,"value":"### Smell Ranking with Average Air Temperature over Seasons","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3356,"value":"weatherScatter = Plot.plot({\n marks: [\n Plot.dot(weatherWithSmells, {x: \"date_time\", y: \"air_temp\", stroke: \"smell value\", title: \"smell value\"})\n ]\n}) // this is really hard to read, try with tooltops, and/or remake with d3 circles and transparency","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1627,"value":"# Language Analysis\nHere, the most used words were put together to get a better understand of what kind of smells were most critical.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1637,"value":"languageAnalysis = Plot.plot({\n x: {\n label: null\n },\n\n marks: [\n // Plot.barY(toMap, {sort: d => d[1], x: d => d[0], y: d => d[1]}), //why isn't the soeting working?\n Plot.barY(toMap, {sort: {x: \"y\", reverse: true}, x: d => d[0], y: d => d[1]}), // This fixes it\n // Reference: https://github.com/observablehq/plot#sort-options\n //Plot.text(toMap, {x: \"letter\", y: \"frequency\", text: d => (d.frequency * 100).toFixed(1), dy: -5}),\n Plot.ruleY([0])\n ]\n})\n \n ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1641,"value":"md`This shows a preference for industrial-source smells, specifically asphalt and oil work, which is where we'll try to focus our industry search in Portland`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":633,"value":"# Vessels Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1494,"value":"#### Vessels-Terminal-Fuel Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":587,"value":"vesselsData = FileAttachment(\"df_vessels@1.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3444,"value":"viewof terminalsData = Plot.plot({\n width: 1200,\n x: {\n domain: d3.groupSort(\n vesselsData,\n (g) => -g.length,\n (d) => d.TERMINAL\n )\n },\n y: {\n grid: true\n },\n marks: [\n Plot.barY(\n vesselsData,\n Plot.groupX({ y: \"count\" }, { x: \"TERMINAL\", fill: \"TERMINAL\" })\n ),\n Plot.ruleY([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3450,"value":"viewof productTypeData = Plot.plot({\n width: 1250,\n x: {\n label: \"\",\n domain: d3.groupSort(\n vesselsData,\n (g) => -g.length,\n (d) => d.PRODUCT_TYPE_OIL\n ),\n tickRotate: -5\n },\n y: {\n grid: true\n },\n marks: [\n Plot.barY(\n vesselsData,\n Plot.groupX(\n { y: \"count\" },\n { x: \"PRODUCT_TYPE_OIL\", fill: \"PRODUCT_TYPE_OIL\" }\n )\n ),\n Plot.ruleY([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":11,"value":"# Exploratory Data Analysis","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1252,"value":"It has largely been speculated that smell reports were directly linked the the ongoing activity that occurs around the Portland Maine Industrial terminals. In this section, we compared dates in which stinky reports were made alongside Vessel arrivals and subsequent fuel or cargo unloading. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":509,"value":"**Date Range:**
${stinkyDateSlider.range[0].toDateString()} - ${stinkyDateSlider.range[1].toDateString()}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":470,"value":"viewof smellValue = Inputs.checkbox(\n stinkyData.map((d) => d.smellValue),\n {\n label: \"Smell Value\",\n unique: \"true\",\n value: new Set(stinkyData.map((d) => d.smellValue)),\n sort: \"ascending\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":525,"value":" viewof zipValue = Inputs.checkbox(\n stinkyData.map((d) => d.zipcode),\n {\n label: \"zipcode\",\n unique: \"true\",\n value: new Set(stinkyData.map((d) => d.zipcode)),\n sort: \"ascending\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":464,"value":"viewof stinkyDateSlider = rangeSlider(\n stinkyData.filter(\n (d) =>\n new Date(d.dateTime) > new Date(\"01/01/2020\") &&\n new Date(d.dateTime) < new Date(\"6/01/2021\")\n ),\n (d) => timeFormatter(d.dateTime)\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":801,"value":"viewof selectAllFilter = Inputs.checkbox(\n [\"ProductType\", \"Terminal\", \"ShipName\", \"ArrivalDate\"],\n {\n label: \"Select All/None\",\n value: [\"ProductType\", \"Terminal\", \"ShipName\", \"ArrivalDate\"]\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2302,"value":"{\n const button = html`