2b:null 2c:["$","title",null,{"children":"IAT 355 Final Project | Calvin Truong John Latay | Observable"}] 31:T5bd,md `When looking at movie reviews it can be a false assumption that ratings and money correlate. We would like to explore the opening weekend revenue data to see if this assumption is true. We specifically want to explore the impact that rotten tomato reviews have on the opening weekend revenue for movies in North America. The main audience are generally those who are interested in movies. Specifically, this data would be useful for movie critics, marketers, data analytics companies that produce and sell this information, producers and enthusiasts. Moreover, our main user group would be senior producers who are interested in which movies tend to be successful and trend changes. With the analytic tools we have implemented into our visualizations, we were able conclude a few things. With one of our visualizations, it revealed that the months between may and July tended to have the highest revenue throughout the last two decades. We were also able to conclude that both revenue ratings have a gradual climb when viewed over the past decade with a sharp decline for the current year, which we assume is due to having less cases so far. One other thing that one of our visualizations revealed was that the relationship between opening revenue and subsequent revenue has a positive correlation which was to be expected. Having said this, there is a slight slope and an overwhelming majority of movies making most of their money during their opening weekend. `32:Tc63,viewof Q1Q2 = embed({ transform:[{filter: "datum.opening_rev < 280000000"},], data: {values: mergedData}, vconcat:[ { config: {background: "white", padding: 5}, title: "Tomatometer Rating Affects on Opening Weekend Revenue", width: "800", height: "400", layer:[ { transform: [ {filter: {selection: "brushInverse"}}, ], mark: {type:"bar", tooltip: true, opacity: 0.7, color: "#FF0000",}, selection: {brush: {type:"interval"}}, encoding: { x: { // aggregate:"average", bin:{bined:true,step:2}, field:"tomatometer_rating", type:"quantitative", axis:{title:"Tomatometer Rating"} }, y: { aggregate:"median", field: "opening_rev", type: "quantitative", axis:{title:"Average Opening Weekend Revenue ($)"}, // scale:{domain:[20000000,260000000]}, }, }, fillOpacity: { condition: {selection: "brush", value: 1}, value: 0.3, }, }, { transform: [ {filter: {selection: "brushInverse"}} ], mark: {type:"errorbar", ticks:{color:"black"}, tooltip: true}, encoding: { x: { // aggregate:"average", bin:{bined:true,step:2}, field:"tomatometer_rating", type:"quantitative", axis:{title:"Tomatometer Rating"} }, y: { aggregate:"median", field: "opening_rev", type: "quantitative", axis:{title:"Average Opening Weekend Revenue ($)"}, // scale:{domain:[20000000,260000000]}, }, } }, ] }, { transform: [ {filter: {selection: "brush"}} ], config: {background: "white", padding: 5}, title: "Subsequent Revenue Compared with Opening Weekend Revenue", width: "800", height: "400", layer:[ { mark: {type:"point", color: "#004cff", opacity: "0.8"}, selection: {brushInverse: {type:"interval"}}, encoding: { tooltip: {field: "name", type: "nominal"}, x: { field:"opening_rev", type:"quantitative", axis:{title:"Opening Weekend Revenue"} }, y: { aggregate:"average", field: "non_opening_rev", type: "quantitative", axis:{title:"Subsequent Revenue ($)"} }, } }, { transform: [ {filter: {selection: "brush"}} ], mark: {type:"line", tooltip: true, color: "#FF0000", opacity:0.7}, transform: [{regression: "non_opening_rev", on: "opening_rev"}], encoding: { x: { field:"opening_rev", type:"quantitative", axis:{title:"Opening Weekend Revenue"} }, y: { aggregate:"average", field: "non_opening_rev", type: "quantitative", axis:{title:"Subsequent Revenue ($)"} }, } }, ] }, ], })33:T486, viewof allDistribs = embed({ title: "All Distributors Financial Performance Compared to Tomatometer Rating", data: {values: mergedData}, mark: {type:"point", color: "#004cff", opacity: "0.8"}, transform: [ {filter: {selection: "distrib"}}, ], width: "800", height: "200", selection: { distrib: { type: "single", fields: ["distributor"], bind: {input: "select", options: [null, "DreamWorks", "DreamWorks Distribution", "Lionsgate", "New Line Cinema", "Paramount Pictures", "Revolution Studios", "Screen Gems", "Sony Pictures Releasing", "TriStar Pictures", "Twentieth Century Fox", "Universal Pictures", "Walt Disney Studios Motion Pictures", "Warner Bros."]} } }, encoding: { tooltip: {field: "name", type: "nominal"}, x: { field:"tomatometer_rating", type:"quantitative", axis:{title:"Tomatometer Rating",}, // bin:{bined:true,step:2}, scale:{domain: [0,100]} }, y: { // aggregate:"median", field: "opening_rev", type: "quantitative", axis:{title:"Opening Weekend Revenue ($)"}, }, } }) 34:Tae6,viewof moviesByProducers = embed({ config: {background: "white", padding: 30}, title: "Number of Movies by Studio / Distributor", data: {values: mergedData}, vconcat: [ { width: 760, height: 500, mark: {type: "bar", opacity: 0.8, strokeWidth: 3, color: "#004cff", tooltip:true,}, selection: { // select: {type: "multi"}, brush: {type: "interval"}, }, encoding: { x: { aggregate:"count", field: "name", type: "qualitative", axis:{title:"Number of Movies"}, }, y: { sort: {op: "count", field: "name", order:"descending"}, field:"distributor", type:"nominal", axis:{title:"Distributors"} }, color: { field: "distributor", type:"nominal", legend: null, }, // fillOpacity: { // condition: {selection: "select", value: 1}, // value: 0.3, // }, } }, { hconcat: [ { transform: [ {filter: {selection: "brush"}}, ], mark: {type: "circle", opacity: 0.6, color: "#004cff", tooltip:true}, encoding: { x: { field: "tomatometer_rating", type: "quantitative", scale: {domain: [0,100]}, axis:{title:"Rating"}, }, y: { field: "opening_rev", type: "quantitative", scale: {domain: [0, 400000000]}, axis:{title:"Opening Weekend Revenue"}, }, } }, { transform: [ {filter: {selection: "brush"}}, ], mark: {type: "circle", opacity: 0.6, color: "#004cff", tooltip:true}, encoding: { x: { field: "tomatometer_rating", type: "quantitative", scale: {domain: [0,100]}, axis:{title:"Rating"}, }, y: { field: "non_opening_rev", type: "quantitative", scale: {domain: [0, 800000000]}, axis:{title:"Non-Opening Weekend Revenue"}, }, } }, { transform: [ {filter: {selection: "brush"}}, ], mark: {type: "circle", opacity: 0.6, color: "#004cff", tooltip:true}, encoding: { x: { field: "tomatometer_rating", type: "quantitative", scale: {domain: [0,100]}, axis:{title:"Rating"}, }, y: { field: "total_rev", type: "quantitative", scale: {domain: [0, 1200000000]}, axis:{title:"Total Revenue"}, }, } }, ] }, ] }); 35:T6af,viewof seasonalData = embed({ title: "Average Movie Revenue by Month (1982-2020)", data: {values: a1.data}, transform: [{filter: {timeUnit: "year", field: "date", range: [1982, 2020]}},{filter:"datum.tomatometer_rating < 100"}], mark: "line", width: "800", height: "300", selection: { YearCycle: { transform: [{filter: {timeUnit: "year", field: "release_date", range: [1982, 2020]}}], type: "single", timeUnit: "year", field: "release_date", bind: { Year: {input: "range", min:1982, max:2020, step: 1} } } }, encoding: { x: { field:"release_date", type:"temporal", timeUnit: "month", axis:{title:"Date (Month)"} }, // y: { // aggregate:"average", // field: "opening_rev", // type: "quantitative", // axis:{title:"Opening Weekend Revenue"} // }, }, layer: [ { mark: {opacity:0.6, type: "line", color: "#FF0000", strokeWidth: 3, strokeCap: "round"}, encoding: { y: { aggregate:"median", field: "tomatometer_rating", type: "quantitative", axis:{title:"Tomatometer Rating",}, scale:{domain:[0,100]}, } } }, { mark: {type: "line", color: "#004cff", opacity: "0.7", strokeWidth:3, strokeCap: "round"}, encoding: { y: { aggregate:"median", field: "opening_rev", type: "quantitative", axis:{title:"Opening Weekend Revenue", titleColour:"#FF0000",}, // scale:{domain:[0,50000000]}, }, } }, ], resolve: {scale: {y: "independent"}}, }) 36:T499,viewof allTime = embed({ title: "Average Movie Revenue by Year (1982-2020)", data: {values: a2.data}, transform: [{filter: {timeUnit: "year", field: "release_date", range: [1982, 2020]}}], width: "800", height: "300", encoding: { x: { field:"release_date", type:"temporal", timeUnit: "year", axis:{title:"Date (Year)"} }, }, layer: [ { mark: {opacity:0.6, type: "line", color: "#FF0000", strokeWidth: 3, strokeCap: "round"}, encoding: { y: { aggregate:"median", field: "tomatometer_rating", type: "quantitative", axis:{title:"Tomatometer Rating",}, scale:{domain:[0,100]}, } } }, { mark: {type: "line", color: "#004cff", opacity: "0.7",strokeWidth:3, strokeCap: "round"}, encoding: { y: { aggregate:"median", field: "opening_rev", type: "quantitative", axis:{title:"Opening Weekend Revenue", titleColour:"#FF0000",}, scale:{domain:[0,60000000]}, }, } }, ], resolve: {scale: {y: "independent"}}, }) 37:[] 2f:{"id":"6e4fc593bfea7821","slug":"calvintruong_johnlatay_a5","title":"IAT 355 Final Project","thumbnail":"46bf623a6dd61f9bcff1195b0da91113fc9bdb1891475def2b38ec924b41bfc9","access_level":"public","create_time":"$D2020-04-04T00:11:12.861Z","update_time":"$D2020-04-21T04:11:55.041Z","view_time":null,"first_public_time":"$D2020-04-04T00:29:21.067Z","fork":{"id":"d96ee24a832afda6","slug":"a4-beepboop","title":"CalvinTruong_JohnLatay_A4","owner":{"id":"75e5db76228cdb02","login":"calvintruongjohnlatay","name":"Calvin Truong John Latay"}},"stars":1,"starred":false,"owner":{"type":"team","id":"75e5db76228cdb02","login":"calvintruongjohnlatay","name":"Calvin Truong John Latay","avatar_url":"https://avatars-next.observableusercontent.com/10d26ada4c6669efd81dfbad142b40e964cece46b00cc444b471bec13fc0e0d4","tier":"starter_2024"},"version":2790,"publish_version":2790,"role":null,"authored":false,"authors":[{"type":"individual","id":"1047c7e184aac66e","login":"calvintruongjohnlatay","name":"Calvin Truong John Latay","avatar_url":"https://avatars-next.observableusercontent.com/10d26ada4c6669efd81dfbad142b40e964cece46b00cc444b471bec13fc0e0d4","tier":null}],"members":[{"type":"individual","id":"1047c7e184aac66e","login":"calvintruongjohnlatay","name":"Calvin Truong John Latay","avatar_url":"https://avatars-next.observableusercontent.com/10d26ada4c6669efd81dfbad142b40e964cece46b00cc444b471bec13fc0e0d4","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"IAT 355 Final Project","cells":[{"id":17,"value":"md `# IAT 355 Final Project`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1540,"value":"md `Team: Calvin Truong & John Latay`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":41,"value":"md`## Overview`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2787,"value":"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2629,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":44,"value":"md`## Research Questions:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":79,"value":"md`How do ratings affect the amount of money made on opening weekend?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":87,"value":"md`How does opening weekend tend to translate to subsequent revenue?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":93,"value":"md`How do ratings affect the opening weekend of different distributors/studios differently?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":104,"value":"md`What time of the year do ratings most affect opening weekend revenue?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":107,"value":"md`How has the effectiveness of ratings on revenue changed over the last few decades?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":57,"value":"md`## Visualization Dashboard:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2656,"value":"md`Interaction 1: Drag and select a range of \"Tomatometer Rating\" in the first graph to select what to present in the scatter plot beneath.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2661,"value":"md`Interaction 2: Drag and select a range of \"Opening Weekend Revenue\" in the first scatter plot below to select what to present in the bar graph above.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2705,"value":"md `### How do ratings affect the amount of money made on opening weekend?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2710,"value":"md`### How does opening weekend tend to translate to subsequent revenue?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2449,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2759,"value":"md `Top visualization done by Calvin Truong`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2769,"value":"md `Bottom visualization done by John Latay`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2751,"value":"md ``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2670,"value":"md`Interaction 3: Click and select a distributor from the drop down menu to see their performance relative to ratings.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2713,"value":"md`### How do ratings affect the opening weekend of different distributors/studios differently?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2133,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2756,"value":"md `This visualization done by Calvin Truong.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2698,"value":"md`Interaction 4: Drag and select one or more distributors to see their performance in regards to Opening Weekend Revenue, Subsequent Revenue and Total Revenue compared to Tomatometer Rating.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1692,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2282,"value":"yearData = mergedData.map(d=>Object.assign(d,{date:new Date(d.release_date)}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2734,"value":"md `Top visualization done by Calvin Truong and bottom visualization done by John Latay.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2677,"value":"md`Interaction 5: Drag and select a range of years of which to present averaged seasonal/monthly data. Once a range is selected, drag it to see how months have changed in regards to ratings and revenue over the years. The number on the left of the slider represents how many movies were released on the same day. The red area represents tomatometer rating and the blue line represents revenue.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2717,"value":"md`### What time of the year do ratings most affect opening weekend revenue?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2256,"value":"viewof a1 = rangeSlider(yearData, d=>d.date)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2266,"value":"a1.data","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":583,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2776,"value":"md `Slider and graph done by Calvin Truong.`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2309,"value":"monthData = mergedData.map(m=>Object.assign(m,{date:new Date(m.release_date)}))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2684,"value":"md`Interaction 6: Drag and select a range of years of which to view revenue and rating data. Once a range is selected, drag it to see how revenue and ratings have changed over time. The number on the left of the slider represents how many movies were released on the same day. The red area represents tomatometer rating and the blue line represents revenue.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2721,"value":"md `### How has the effectiveness of ratings on revenue changed over the last few decades?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2314,"value":"viewof a2 = rangeSlider(monthData, m=>m.date)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1393,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2781,"value":"md `Slider done by Calvin Truong and graph done by John Latay.`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1649,"value":"md`## Video Link`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2788,"value":"md `https://www.youtube.com/watch?v=rKmODJFCL4s&feature=youtu.be&fbclid=IwAR3h1saDzb5gCzHOZRyDHdEZtQaC6hzmgOXV70onKmC1a98EtGQaW9_lHaY`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2076,"value":"md`## Databases`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2639,"value":"md `Revenue Dataset: https://www.boxofficemojo.com/chart/top_opening_weekend/`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2645,"value":"md `Ratings Dataset: https://www.kaggle.com/stefanoleone992/rotten-tomatoes-movies-and-critics-datasets`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2647,"value":"md `Our Merged Dataset: https://github.com/cxtruong1/mergedData/blob/master/finalData.csv`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1594,"value":"md`## Loading Merged Datasets`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1599,"value":"dataReload = dfjs.DataFrame.fromCSV('https://gist.githubusercontent.com/cxtruong1/b03d0fb604e78c5268d810e401faf22c/raw/01ba4ae4aa200f7a9d8c9bf64f4e1f1595952470/finalData')\n// https://gist.githubusercontent.com/cxtruong1/270337c0f3fa3e772ec44e5f004b1344/raw/c7b43088863f84cac72e732446e5578bfd81b239/mergedData.csv\n// https://gist.githubusercontent.com/cxtruong1/270337c0f3fa3e772ec44e5f004b1344/raw/dc928d6e1498460c12aecfcdbeaa35876f691250/mergedData.csv","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1608,"value":"mergedDataPre = dataReload.toCollection();","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1613,"value":"mergedData = mergedDataPre.map( function(d){\n return {\n rank: Math.abs(+d.rank),\n name: d.name,\n opening_rev: Math.abs(+d.opening_rev),\n total_rev: Math.abs(+d.total_rev),\n non_opening_rev: Math.abs(+d.non_opening_rev),\n percent_of_total: Math.abs(+d.percent_of_total),\n theatres: Math.abs(+d.theatres),\n avg_theatre_rev: Math.abs(+d.avg_theatre_rev),\n release_date: d.release_date,\n distributor: d.distributor,\n tomatometer_rating: Math.abs(+d.tomatometer_rating),\n tomatometer_status: d.tomatometer_status,\n tomatometer_count: Math.abs(+d.tomatometer_count),\n audience_status: d.audience_status,\n audience_count: Math.abs(+d.audience_count),\n audience_top_critics_count: Math.abs(+d.audience_top_critics_count),\n audience_fresh_critics_count: Math.abs(+d.audience_fresh_critics_count),\n audience_rotten_critics_count: Math.abs(+d.audience_rotten_critics_count),\n }\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1562,"value":"md`## Import Libraries`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1565,"value":"// d3=require('d3@5')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2235,"value":"d3 = require('d3')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1567,"value":"d3random = require(\"d3-random\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1575,"value":"VegaLite = require('@observablehq/vega-lite')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1579,"value":"dfjs = require('https://bundle.run/dataframe-js@1.3.2')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1582,"value":"import {vl} from '@vega/vega-lite-api'","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1587,"value":"embed = require(\"vega-embed@5\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2249,"value":"import {group} from \"@bumbeishvili/utils\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2251,"value":"import {comments} from \"@bumbeishvili/utils\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2260,"value":"import {rangeSlider} from \"@bumbeishvili/utils\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":69,"value":"md`## References:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":717,"value":"md `https://observablehq.com/@sfu-iat355/week-5-visual-forms-continued/2`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":721,"value":"md `https://observablehq.com/@sfu-iat355/week-5-visual-forms-continued`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":726,"value":"md `https://observablehq.com/@jcsands123/data-types-graphical-marks-and-visual-encoding-channels`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":838,"value":"md`https://vega.github.io/vega/docs/schemes/?fbclid=IwAR3XRZREcpqWCyJYks4hR6SXV32wp0ZJMyapAyQ8ZKfA6fSAUH5fjYngTk4`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1037,"value":"md `https://www.rottentomatoes.com/about`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1500,"value":"md `https://vega.github.io/vega-lite/docs/bin.html`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1501,"value":"md `https://vega.github.io/vega-lite/docs/tooltip.html`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1503,"value":"md `https://vega.github.io/vega-lite/docs/mark.html`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1505,"value":"md `https://vega.github.io/vega/docs/scales/#properties`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1507,"value":"md `https://observablehq.com/@vega/a-guide-to-guides-axes-legends-in-vega`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1509,"value":"md `https://vega.github.io/vega-lite/docs/axis.html#domain`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1511,"value":"md `https://vega.github.io/vega-lite/docs/layer.html#combined-scales-and-guides`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2568,"value":"md `https://observablehq.com/@bumbeishvili/data-driven-range-sliders?fbclid=IwAR1xHppebJ9JWzFU0JWo9wxxO1sxkUlbcUEp5R34bAiIrPhyAXVMv22v0qQ`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W37","stdlib":"1","titling":"auto"}} 30:"$2f:body"