44:["$","title",null,{"children":"Harris Wang - Europe Travel View | Harris_w | Observable"}] 4c:T16f6,temp_cb_plot = Plot.plot({ color: {legend: true}, x: { //grid: true, domain: [6, 1], label: "Weeks Ahead Purchased", labelAnchor: "center", }, y: { //grid: true, domain: [20, 420], label: "↑ Ticket Price Purchased (Euro)", //labelAnchor: "center", marginLeft: 70 }, marks:[ Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["Munich-Budapest (Plane)"], dy: 6, dx: -670}), Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["Paris-Barcelona (Plane)"], dy: 68, dx: -50}), Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["Berlin-Warsaw (Train)"], dy: 118, dx: -55}), Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["London-Marseille (Train)"], dy: 72, dx: -670}), Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["Max Price (Plane): 411 Euros"], fill: "#f28e2c", dy: -220, dx: -70}), Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["Max Price (Train): 256 Euros"], fill: "#4e79a7", dy: -80, dx: -280}), Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["Min Price (Train): 30 Euros"], fill: "#4e79a7", dy: 120, dx: -680}), Plot.text(cb, {x: "WeeksAheadPurchased", y: "TicketPriceEuros", text: ["Min Price (Plane): 21 Euros"], fill: "#f28e2c", dy: 150, dx: -600}), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Plane" && d["Route"] === "Berlin-Warsaw", stroke: "#e7e7e7", } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Plane" && d["Route"] === "London-Amsterdam", stroke: "#e7e7e7", } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Plane" && d["Route"] === "London-Marseille", stroke: "#e7e7e7", } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Plane" && d["Route"] === "Munich-Budapest", stroke: "#f28e2c", marker: "circle" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Plane" && d["Route"] === "Paris-Barcelona", stroke: "#f28e2c", marker: "circle" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Plane" && d["Route"] === "Zurich-Milan", stroke: "#e7e7e7" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Train" && d["Route"] === "Berlin-Warsaw", stroke: "#4e79a7", marker: "circle" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Train" && d["Route"] === "London-Amsterdam", stroke: "#e7e7e7" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Train" && d["Route"] === "London-Marseille", stroke: "#4e79a7", marker: "circle" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Train" && d["Route"] === "Munich-Budapest", stroke: "#e7e7e7" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Train" && d["Route"] === "Paris-Barcelona", stroke: "#e7e7e7" } ) ), Plot.line( cb, Plot.groupX( {y: "mean"}, { x: "WeeksAheadPurchased", y: "TicketPriceEuros", filter: d => d["Mode"] === "Train" && d["Route"] === "Zurich-Milan", stroke: "#e7e7e7" } ) ), ], width: 800, height: 420, })4d:T4b1,temp_cb_plot_2 = Plot.plot({ color: {legend: true}, x: {axis: null}, y: {domain: [0,320]}, facet: {data: cb, x: "Route", marginRight: 30, marginLeft: 30}, marks: [ Plot.text(cb, {x: "Route", y: "CO2InKGramsPerPassenger", text: ["Most CO2 generated"], dy: 98, dx: -680}), Plot.barY( cb, Plot.groupX( { y: "mean" }, { x: "Mode", y: "CO2InKGramsPerPassenger", sort: {x: "y", reverse: true}, fill: "Mode" } ) ), Plot.text([`Most CO2 generated by plane`], { fx: ["London-Marseille"], frameAnchor: "middle", lineWidth: 9, dx: -22, dy: -132 }), Plot.text([`Most CO2 generated by train`], { fx: ["Berlin-Warsaw"], frameAnchor: "MIDDLE", lineWidth: 4, dx: 30, dy: 55 }), Plot.text([`Least CO2 generated by plane`], { fx: ["Zurich-Milan"], frameAnchor: "MIDDLE", lineWidth: 4, dx: -22, dy: 15 }), Plot.text([`Least CO2 generated by train`], { fx: ["Zurich-Milan"], frameAnchor: "MIDDLE", lineWidth: 4, dx: 30, dy: 95 }) ], width: 800, height: 300, })4e:T5cf,

Ready to travel? Let's find the most economic itinerary!

Ticket Price Variations by Weeks Purchase Ahead

Only 2 out of 6 plane / train routes that include the maximum and minimum prices are highlighted

${temp_cb_plot}

CO2 Emissions per Route by Transportation Mode

${temp_cb_plot_2}

Planes generate significantly more CO2 than trains. 4f:[{"id":"17b89bc8cb413436f64c772a3a39f89d902ac39142e16a48d0779a50487b80278979375b01fbac7e2515c967a44b00d890f81120b7a19f8c0d154d26e7b28174","href":"https://static.observableusercontent.com/files/17b89bc8cb413436f64c772a3a39f89d902ac39142e16a48d0779a50487b80278979375b01fbac7e2515c967a44b00d890f81120b7a19f8c0d154d26e7b28174","name":"CO2_data.csv","type":"text/csv","lastModified":1676057443468.924,"size":2612}] 48:{"id":"e38663168f862ca3","slug":"euro_travel_view","title":"Harris Wang - Europe Travel View","thumbnail":"49e3b8e7b5c25c76853ac31b4ed41e895e2facb91573182f4e68e995d0ccb899","access_level":"public","create_time":"$D2023-02-10T03:07:59.255Z","update_time":"$D2023-02-14T02:45:18.783Z","view_time":null,"first_public_time":"$D2023-02-10T03:07:59.255Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"ddc0e33a8fab65f0","login":"harriswang114","name":"Harris_w","avatar_url":"https://avatars-next.observableusercontent.com/a21c98125225b577c3f3a47dd20fa9359f164ee6e840abbdab9c59c8adefe28b","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":464,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"4bc593e1751d84c3","login":"harriswang114","name":"Harris_w","avatar_url":"https://avatars-next.observableusercontent.com/a21c98125225b577c3f3a47dd20fa9359f164ee6e840abbdab9c59c8adefe28b","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"4dda46c7d7c3e7b9","login":"cstokes","name":"Chase Stokes","avatar_url":"https://avatars-next.observableusercontent.com/f06b126b52c399f68942c78749fce999945a6e1e0679fb71f276d8202cc4bda4","tier":null,"role":"editor"},{"type":"individual","id":"4bc593e1751d84c3","login":"harriswang114","name":"Harris_w","avatar_url":"https://avatars-next.observableusercontent.com/a21c98125225b577c3f3a47dd20fa9359f164ee6e840abbdab9c59c8adefe28b","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Harris Wang - Europe Travel View","cells":[{"id":461,"value":"md`# Harris Wang - Europe Travel View`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"co2_data = await FileAttachment(\"CO2_data.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"co2_data","database":"$undefined"},{"id":7,"value":"cb = FileAttachment(\"CO2_data.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":11,"value":"$4c","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"$4d","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":347,"value":"annotationColor = \"#555555\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":276,"value":"$4e","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"}],"files":"$W4f","stdlib":"1"}} 24:null