29:null 2a:["$","title",null,{"children":"Final Introduction to Data Visualization Project | Columbia Dataviz | Observable"}] 2f:T805,chart = { const container = d3 .create("div") .style("width", width) .style("height", fullHeight + "px"); //the div of all const narrativeContainer = container .append("div") .style("height", "600px") .style("overflow-y", "scroll") .style("float", "left") .on("scroll", () => { // Compute section const totalHeight = narrativeContainer.node().getBoundingClientRect().top; const offset = narrative.node().getBoundingClientRect().y; const section = Math.floor((totalHeight - offset + 10) / sectionHeight); update(section); }); const narrative = narrativeContainer .append("div") .style("width", "200px") // Add sections narrative .selectAll(".section") .data(descriptions) .join("div") .attr("class", "section") .append("text") .text(d => d); // Visualization (Step 0, starting viz) const vis = container .append("svg") .style("height", "600px") .style("width", width - 220 + "px") .style("float", "right") const leaf = vis.selectAll("g") .data(packed_data.leaves()) .enter().append("g") .attr("transform", d => `translate(${d.x + 1},${d.y + 1})`); const circle = leaf.append("circle") .attr("r", d => d.r) .attr("fill", d => "#d3d3d3") // Update function const update = section => { console.log("update ", section); switch (section) { case 1: break; case 2: vis.selectAll("circle") .data(packed_authors.leaves()).exit() .transition().duration(500) .style("opacity", 0) .remove(); vis.selectAll("circle") .data(packed_authors.leaves()) .transition().duration(500) .attr("fill", "#CBEAA6"); break; case 3: vis.selectAll("circle") .transition().duration(500) .attr("r", d => d.r) .attr("fill", d => d.data.awards_count > 1 ? "#D10000": "#CBEAA6") break; } }; return container.node(); }30:T6ac,{ const width = 900 const height = 80 const margin = { top: 20, right: 30, bottom: 0, left: 20 } const svg = d3.select(DOM.svg(width, height)); // title const titleText = 'Gender Distribution of the Awards given between 1919 and '+ String(year2); const titleFontSize = 18; const titleX = width / 2; const titleY = margin.top + titleFontSize; svg.append('text') .attr('x', titleX) .attr('y', titleY) .attr('text-anchor', 'middle') .attr('font-size', titleFontSize) .text(titleText); //legend const legendWidth = 100; const legendHeight = 80; const legendX = width - margin.right - legendWidth; const legendY = height - margin.bottom - legendHeight; const legend = svg.append('g') .attr('transform', `translate(${legendX},${legendY})`); const swatchSize = 12; const swatchSpacing = 20; const legendData = [ { label: 'Male, Career prize', color: '#126F9E' }, { label: 'Male, Book prize', color: '#8ECFF0' }, { label: 'Female, Career prize', color: '#9E1212' }, { label: 'Female, Book prize', color: '#DC5050' } ]; const legendSwatches = legend.selectAll('.legend-swatch') .data(legendData) .enter() .append('g') .attr('class', 'legend-swatch') .attr('transform', (d, i) => `translate(0, ${i * swatchSpacing})`); legendSwatches.append('rect') .attr('x', 0) .attr('y', 0) .attr('width', swatchSize) .attr('height', swatchSize) .style('fill', d => d.color); legendSwatches.append('text') .attr('x', swatchSize + 5) .attr('y', swatchSize / 2) .attr('alignment-baseline', 'middle') .text(d => d.label) .style('font-size', '12px'); return svg.node(); }31:T557,{ const width = 1000 const height = 700 const margin = { top: 20, right: 30, bottom: 20, left: 20 } const svg = d3.select(DOM.svg(width, height)); const circleRadius = 5; const circleSpacing = 5; const maxCirclesPerRow = Math.floor((width - margin.left - margin.right) / (circleRadius * 2 + circleSpacing)); let yPos = margin.top; let xPos = margin.left + circleRadius; let color = 'green'; // Append circles based on the gender distribution gender_distribution2.forEach(d => { for (let i = 0; i < d.value.length; i++) { if (xPos + circleRadius > width - margin.right) { // Move to the next row yPos += circleRadius * 2 + circleSpacing; xPos = margin.left + circleRadius; } if (d.name == 'male' ){ if (d.value[i].prize_type == 'career'){ color = '#126F9E'; } else if (d.value[i].prize_type == 'book'){ color = '#8ECFF0'; } } else if (d.name == 'female'){ if (d.value[i].prize_type == 'career'){ color = '#9E1212' } else { color = '#DC5050' } } svg.append("circle") .attr('cx', xPos) .attr('cy', yPos) .attr('r', circleRadius) .style('fill', color); xPos += circleRadius * 2 + circleSpacing; } }); return svg.node(); }32:T76e,mfa_animation = { const inner = html` ` return inner }33:T4ab,arc_sankey = { const inner = html` ` return inner }34:[{"id":"3fe7b31dd0dda8c3308831b1c3fc833ec1d84aa2e32ddd0f7c9e24f8e9b0c95040f0c46832abded3a0b0b74b5588039ec413b8f6905eed3ff681f0a2bb7745ba","href":"https://static.observableusercontent.com/files/3fe7b31dd0dda8c3308831b1c3fc833ec1d84aa2e32ddd0f7c9e24f8e9b0c95040f0c46832abded3a0b0b74b5588039ec413b8f6905eed3ff681f0a2bb7745ba","name":"통합 문서5@2.csv","type":"text/csv","lastModified":1682559386292.127,"size":158},{"id":"3fe7b31dd0dda8c3308831b1c3fc833ec1d84aa2e32ddd0f7c9e24f8e9b0c95040f0c46832abded3a0b0b74b5588039ec413b8f6905eed3ff681f0a2bb7745ba","href":"https://static.observableusercontent.com/files/3fe7b31dd0dda8c3308831b1c3fc833ec1d84aa2e32ddd0f7c9e24f8e9b0c95040f0c46832abded3a0b0b74b5588039ec413b8f6905eed3ff681f0a2bb7745ba","name":"통합 문서5.csv","type":"text/csv","lastModified":1682549614780.702,"size":158},{"id":"f8e1fffbbdb1f067e87e64b47fbc4a20512217fc62aad9740120e6315de2806d13028778a13d6ee71841246b8f79a65383db120b193cafdeab56fded9e54f372","href":"https://static.observableusercontent.com/files/f8e1fffbbdb1f067e87e64b47fbc4a20512217fc62aad9740120e6315de2806d13028778a13d6ee71841246b8f79a65383db120b193cafdeab56fded9e54f372","name":"winners2.csv","type":"text/csv","lastModified":1681834791110.337,"size":458663}] 2d:{"id":"ec3f34bec776ba17","slug":null,"title":"Final Introduction to Data Visualization Project","thumbnail":"f80d7b7a3b675cf803231076dfd1cdf807d28efe5c8837e5e98460870d320212","access_level":"public","create_time":"$D2023-04-14T05:04:08.542Z","update_time":"$D2023-05-09T03:12:58.349Z","view_time":null,"first_public_time":"$D2023-05-09T02:52:46.381Z","fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"7a615336d5b186de","login":"columbia-dataviz","name":"Columbia Dataviz ","avatar_url":"https://avatars-next.observableusercontent.com/bef00fdd2fde3755f8d242e6a6dd04e4535ae9d634d372ec959928e1d95fd9dc","tier":"pro_2024"},"version":2231,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}],"members":[{"type":"individual","id":"4a5bde853f69e7a3","login":"camillenait","name":"Camille Kaissa Nait Abdesselam","avatar_url":"https://avatars-next.observableusercontent.com/1b360284ee8d9440a44feb06b60d7fd909d6353c4b338f64acfba01e59425f2f","tier":null,"role":"editor"},{"type":"individual","id":"715b4dd40b03b4d2","login":"chiamaka","name":"Chiamaka ","avatar_url":"https://avatars-next.observableusercontent.com/f826844aaaa55244fd019a42ec56f66885aced0a3878b0c032c09fec14faeeb7","tier":null,"role":"editor"},{"type":"individual","id":"2de7caf0b0291dd3","login":"hjk2160","name":"Heon Jun Kim","avatar_url":"https://avatars-next.observableusercontent.com/ae6ea6a17b610f3b8a419ab5cf26340999406752c6c641c4573f9b5b2d347877","tier":null,"role":"editor"},{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null,"role":"editor"}],"comments":[{"id":"08d433e2dc664190","reply_to_id":null,"content":"Add a color legend to this chart. Orange is career prizes, blue is book prizes.","create_time":"$D2023-04-18T17:03:12.173Z","update_time":"$D2023-04-18T17:21:15.047Z","resolved":false,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"d69bccd6bc828339","reply_to_id":"08d433e2dc664190","content":"Also, I don't know if I love the way this is rendered... might randomize rows or something to make it prettier.","create_time":"$D2023-04-18T17:47:52.559Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"08b65ce03196fe9c","reply_to_id":null,"content":"Add Camille's gender chart.","create_time":"$D2023-04-18T17:56:47.692Z","update_time":"$D2023-04-18T18:26:25.860Z","resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"c360a2d045603e87","reply_to_id":null,"content":"Filter repeated authors, it prevents from over-representing a group that might have just had authors that won a bunch of times or something of the sort.","create_time":"$D2023-04-18T18:22:49.796Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"fe0533395542fde0","reply_to_id":"c360a2d045603e87","content":"This could also be an interesting idea to explore. (Meaning, like authors that get repeated and stuff because out of like 2777 wins, only 1777 of them are won by like distinct authors.)","create_time":"$D2023-04-18T18:25:47.528Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"1e881f70cbb2caa5","reply_to_id":"08b65ce03196fe9c","content":"Also, try and make it the same colors as the default one.","create_time":"$D2023-04-18T18:26:43.318Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"4e6841ca5ba034d2","reply_to_id":null,"content":"I don't know if pie chart is the best for this (but maybe it's just because I'm low-key (high-key) a pie chart hater) because there are a couple of non-binary/unknown gender authors that can't be significantly represented.","create_time":"$D2023-04-18T18:44:54.490Z","update_time":"$D2023-04-18T20:35:30.394Z","resolved":false,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"4fa9f9794702a474","reply_to_id":"4e6841ca5ba034d2","content":"Maybe we could do like the dot to keep it in theme? IDK","create_time":"$D2023-04-18T19:10:01.394Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"8c6679ab03b59a1c","reply_to_id":null,"content":"Fix the cutoff.","create_time":"$D2023-04-18T19:17:04.437Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"054ee2d7d7fe0fab","reply_to_id":"4e6841ca5ba034d2","content":"I think we can still use the pie chart for the nature of this narrative will get more difficult if more genders are included","create_time":"$D2023-04-20T13:46:49.345Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"2de7caf0b0291dd3","login":"hjk2160","name":"Heon Jun Kim","avatar_url":"https://avatars-next.observableusercontent.com/ae6ea6a17b610f3b8a419ab5cf26340999406752c6c641c4573f9b5b2d347877","tier":null}},{"id":"c4520d9630df0145","reply_to_id":null,"content":"Ok I took the liberty of editing this chart so that it just consolidates the different categories into differents views in the same chart. So that it's more interactive and reduves the overwhelming effect of three pie charts in a row.","create_time":"$D2023-04-26T18:32:43.024Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"20e3f3c53778313b","reply_to_id":null,"content":"I have to fix the color scheme bc this one is ugly af.","create_time":"$D2023-04-26T18:34:47.546Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"05ff6fadc4e56138","reply_to_id":"c4520d9630df0145","content":"Also I think it would be nice to add like an extra static line chart or smth to give like a big picture view of it all.","create_time":"$D2023-04-26T18:37:21.973Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"9e9fd784a042b56b","reply_to_id":null,"content":"Also I'm trying to make this like not go as fast but idk how 😭😭😭😭😭","create_time":"$D2023-04-26T18:56:08.236Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"61b8f2c383c563d6","login":"paulettedvm","name":"Paulette Del Valle","avatar_url":"https://avatars-next.observableusercontent.com/31b923d6e5b61e9511c82c56e86822af3331a0a36b33a07a9a8268e8cd5eb611","tier":null}},{"id":"bcd95c095185fbf9","reply_to_id":"20e3f3c53778313b","content":"lol..","create_time":"$D2023-04-26T20:23:00.083Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"2de7caf0b0291dd3","login":"hjk2160","name":"Heon Jun Kim","avatar_url":"https://avatars-next.observableusercontent.com/ae6ea6a17b610f3b8a419ab5cf26340999406752c6c641c4573f9b5b2d347877","tier":null}},{"id":"fcb09d6cb318c3c8","reply_to_id":"c4520d9630df0145","content":"Thank you so much! I agree it was overwhelming but I thought it might be nice to the evolution of all pie chart at the same time. I don't think it's possible to have them all next to each other in observable though :(","create_time":"$D2023-04-26T22:23:06.108Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"4a5bde853f69e7a3","login":"camillenait","name":"Camille Kaissa Nait Abdesselam","avatar_url":"https://avatars-next.observableusercontent.com/1b360284ee8d9440a44feb06b60d7fd909d6353c4b338f64acfba01e59425f2f","tier":null}}],"custom_thumbnail":true,"trashed":false,"subscribed":null,"forks":2,"collection":null,"type":"notebook","body":{"title":"Final Introduction to Data Visualization Project","cells":[{"id":2218,"value":"# Final Introduction to Data Visualization Project","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":2224,"value":"By Camille Nait-Abdesselam, Chiamaka Chukwuka, Heon Kim, and Paulette Del Valle Medina.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":2226,"value":"## Variables and Data Manipulation","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":8,"value":"winners = FileAttachment(\"winners2.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1168,"value":"data = winners.map(d => ({ //winners but with years as integers\n ...d, \n prize_year: parseInt(d.prize_year)\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":504,"value":"d3.group(winners, d => d.person_id)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":237,"value":"// re-format the dataset so that it's only people, not repeated people who got multiple awards\nunique_authors_index = winners.map(d => d.person_id)\n .filter((d, i, arr) => arr.indexOf(d) === i); ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":242,"value":"unique_authors = winners.filter((d, i, arr) => {\n return i === arr.findIndex(t => t.person_id === d.person_id); \n});","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":513,"value":"wins_author = d3.rollup(winners, v => v.length, d => d.person_id); // append this to the distinct authors df\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":519,"value":"unique_authors.forEach(d => {\n d.awards_count = wins_author.get(d.person_id)\n});","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":540,"value":"repeated_authors = unique_authors.filter(d => d.awards_count > 1)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":174,"value":"winners.sort((a, b) => {\n if (a.prize_type === b.prize_type) {\n // If prize types are equal, sort by prize year\n if (a.prize_year === b.prize_year) {\n // If prize years are equal, sort by prize genre\n return d3.ascending(a.prize_genre, b.prize_genre);\n } else {\n return d3.ascending(a.prize_year, b.prize_year);\n }\n } else {\n return d3.ascending(a.prize_type, b.prize_type);\n }\n});","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":309,"value":"genres = {\n const dict = new Map()\n for (const record of winners){\n if (dict.has(record.prize_genre)){\n dict.set(record.prize_genre,dict.get(record.prize_genre)+1)\n } else {\n dict.set(record.prize_genre,1)\n }\n }\n const ret = []\n \n for (const [k,v] of dict.entries()){\n ret.push({genre: k, frequency: v/2777})\n }\n return ret\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":694,"value":"// putting the data in a 'hierarchy' format for bubble chart\nflat_hierarchy = { \n let root = {children: winners};\n return d3.hierarchy(root).sum(d => 1); // just set all the values to an arbitrary constant (since we don't actually care about the size of the circles) \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":696,"value":"author_hierarchy = { \n let root = {children: unique_authors};\n return d3.hierarchy(root).sum(d => d.awards_count); // set to const award count\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":211,"value":"gender_distribution = [\n {name: 'female', value: winners.filter(d => d.gender === \"female\" && parseInt(d.prize_year) === year2)},\n {name: 'male', value: winners.filter(d => d.gender === \"male\" && parseInt(d.prize_year) === year2)}\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1381,"value":"gender_distribution2 = [\n {name: 'female', value: winners.filter(d => d.gender === \"female\" && d.prize_year < year2)},\n {name: 'male', value: winners.filter(d => d.gender === \"male\" && d.prize_year < year2)}\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":609,"value":"gender_distribution_career = [\n {name: 'female', value: winners.filter(d => d.gender === \"female\" && parseInt(d.prize_year) === year2 && d.prize_type === 'career').length},\n {name: 'male', value: winners.filter(d => d.gender === \"male\" && parseInt(d.prize_year) == year2 && d.prize_type === 'career').length}\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":604,"value":"gender_distribution_book = [\n {name: 'female', value: winners.filter(d => d.gender === \"female\" && parseInt(d.prize_year) === year2 && d.prize_type == 'book').length},\n {name: 'male', value: winners.filter(d => d.gender === \"male\" && parseInt(d.prize_year) === year2 && d.prize_type == 'book').length}\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":698,"value":"packed_data = {\n let width = 600;\n let height = 600;\n let pack = d3.pack()\n .size([width, height])\n .padding(3)\n return pack(flat_hierarchy);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":700,"value":"packed_authors = {\n let width = 500;\n let height = 500;\n let pack = d3.pack()\n .size([width, height])\n .padding(15)\n return pack(author_hierarchy);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":702,"value":"fullHeight = 600","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":705,"value":"sectionHeight = 600","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":707,"value":"descriptions = [\n \"These are all the prizes awarded by major literary institutions from 1918-2020.\",\n \"A major literary prize is considered any prize with a rewards equal to or greater than 10,000 dollars from the institutions like the American Academy of Arts and Letters, Columbia University, MacArthur Foundation, etc.\",\n \"While data prepping, we found out that out of 2,777 total awards, these are distributed among 1,773 distinct authors.\",\n \"But, only 463 authors have won more than one award. Meaning that 36% of awards have been distributed among a group representative of only 26% of all authors awarded.\"\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1422,"value":"cb_awards = FileAttachment(\"통합 문서5.csv\").csv({type:true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1466,"value":"arcs_html = {\n const arr = []\n\n for (let [key, value] of widths.entries()) {\n\n const edge = key.split(',')\n\n let start = pos.get(edge[0])\n let end = pos.get(edge[1])\n\n let opacity = 0.5\n\n const length = end-start\n\n const thickness = getWidth(value)\n\n let stroke_color = color.get(edge[0])\n\n if (value < num_of_grads){\n stroke_color = \"grey\"\n }\n\n let s = \"\"\n\n if (edge[0] == edge[1]){\n s = \"\"\n //s = \"\"\n }\n\n\n arr.push(s)\n \n }\n\n return arr\n \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1580,"value":"# Who is represented in major literary awards? ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":689,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":711,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1406,"value":"## Award Types: Career vs. Book Awards","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":44,"value":"Prizes are classified as \"book\" and \"career\" prizes, with \"book\" prizes being those awarded for a specific body of work and \"career\" prizes being awarded as recognition for the author themselves.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":49,"value":"From 1918-2020, 2059 of awarded prizes have been career based prizes representing 74% of all prizes awarded. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":1419,"value":"Starting from 1930s, there is a gradual growth on career rewards. As you see in this graph, the trend of the type of prizes began to switch dramatically beginning from 1940s until the most recent years.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":1415,"value":"Plot.auto(data, {\n x: \"prize_year\",\n y: { value: \"prize_type\", reduce: \"count\" },\n color: \"prize_type\",\n mark: \"area\"\n}).plot({ color: { legend: true }, x: { grid: true } })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1430,"value":"We have cleansed our data and counted the total amount of career awards and book awards by each decades from 1918 to 2020. There are two discoveries that we found. As the years pass by, the more sizes of people getting awards either from career or book type. Also, in comparison to both of the types, the exponential growth can be identified at career, much higher than the book type.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":469,"value":"## Gender","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":294,"value":"Generally, male-identifying individuals remain the majority of awardees, accounting for 62% percent of award winners. However, that gap has been overturned in the last ten years with women actually receiving more awards than men from 2019-2020. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":2197,"value":"In the following visualization you can click on 'Play' to see the evolution of the gender distribution of awards given since 1919. Each dot represents an award. It is color-coded both according the gender of the winner and the type of prize they won. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":723,"value":"viewof year2 = Scrubber([1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]\n,{delay: 500}, {loop: false}, )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2171,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1909,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":476,"value":"## Higher Education and Institutions","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":348,"value":"When talking about education, recent awarded individuals have a graduate degree. However, that wasn't necessarily the case before the 1970's. Since then, the amount of award winners with graduate degrees has grown almost exponentially. With now most of awards being given to authors with an MFA degree or some sort of graduate education.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":443,"value":"viewof x_play = Scrubber(x_vals, {loop: false},{delay: 1000})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":441,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":617,"value":"mfa_graph","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1458,"value":"viewof num_of_grads = Inputs.range([1,50],{step:1,label:\"Min. No. of Prize Winners\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1455,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1617,"value":"The literary awards scene has lots to improve. However, I think that recent award patters present a possibility for change and improvement. Recent trends show that the representation of female-identifying individuals has dramatically increased since 2017, with female-identifying authors being actually awarded more than male-identifying ones. With the gap between them still increasing.\n\nHowever, there's still a lot desired in terms of educational requirements that seem to be increasingly common in winners nowadays. The numbers of awardees with graduate education keeps dramatically increasing every year, with most of them belonging to incredibly selective institutions like the University of Iowa's Writers Workshop, Columbia, Cornell, etc. which suggests that awards are increasingly becoming inaccessible to authors without these academic backgrounds. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":2203,"value":"# Link to Write-Up (on Medium.com)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":2205,"value":"https://medium.com/@paulette.dvm/whos-represented-in-major-literary-awards-8e879d375ccb","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":28,"value":"# Appendix","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":1878,"value":"import {IndexChart} from \"@d3/index-chart\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1792,"value":"import {DifferenceChart} from \"@d3/difference-chart\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1773,"value":"d3 = require(\"d3@6\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1691,"value":"import {Swatches} from \"@d3/color-legend\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1670,"value":"import {BollingerChart} from \"@d3/bollinger-bands\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1665,"value":"import {howto, altplot} from \"@d3/example-components\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":437,"value":"import {getColor,sig,h,w,b,x_vals,Scrubber} from \"@chiamaka/mfa-animated-sankey\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":621,"value":"import {mfa_graph} from \"@chiamaka/mfa-institution-graph\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1450,"value":"import {color,widths,pos,getWidth} from \"@chiamaka/mfa-arc-sankey\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":32,"value":"import {BubbleChart} from \"@d3/bubble-chart\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":201,"value":"import {PieChart} from \"@d3/pie-chart\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":301,"value":"import {BarChart} from \"@d3/horizontal-bar-chart\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W34","stdlib":"1","titling":"auto"}} 2e:"$2d:body"