25:["$","title",null,{"children":"Visualize the number of X posts by M1 Grand Prix finalists | tsurezure lab. こちら徒然研究室（仮称） | Observable"}] 49:T99c,chart = addTooltips( Plot.plot({ // title: "NHK紅白歌合戦2023 出場予想歌手の検索ボリューム推移を可視化してみる", caption: "Xデータより徒然研究室（仮称）が2023年12月25日作成。", height: 600, width: 1200, marginTop: 50, marginBottom: 0, marginLeft: 185, // marginRight: -70, style: { // background: "rgb(250, 245, 240)", background: "#FBFAF5", fontSize: "12px", color: "rgb(60, 60, 60)" }, axis: null, x: { label: "検索日", axis: "top", round: true }, y: { domain: [-20, d3.max(traffic, (d) => d.Tweet_Count) / (overlap + 1)] }, // y: { axis: null, range: [2.5 * 17 + 50, (2.5 - overlap) * 17 - 2] }, // Y軸を非表示にし、レンジを設定 color: { legend: true, label: "15分あたりの検索ボリューム", scheme: "Turbo", //"PuRd", style: { width: 180, background: "#FBFAF5" } // レジェンドの背景色を設定 }, fy: { domain: traffic.map((d) => d.query) // preserve input order }, facet: { data: traffic, y: "query" }, marks: [ Plot.areaY(traffic, { x: "Minute_Timestamp", y: "Tweet_Count", z: "query", fill: "Tweet_Count", fillOpacity: 0.65, // fill: (d) => `rgba(0, 0, 255, ${calculateAlpha(d.value)})`, // valueに基づいてアルファ値を計算して適用 sort: "Minute_Timestamp", // curve: "catmull-rom", title: (d) => `${d.query} 時刻 ${d.Minute_Timestamp} 検索ボリューム: ${d.Tweet_Count}` }), Plot.lineY(traffic, { x: "Minute_Timestamp", y: "Tweet_Count", z: "query", curve: "catmull-rom", strokeWidth: 0.5, sort: "Minute_Timestamp", stroke: "black" // ストロークカラーを黒に設定 }), Plot.text( traffic, Plot.selectFirst({ x: d3.min(traffic, (d) => d.Minute_Timestamp), text: "query", dx: -5, dy: 0, frameAnchor: "right", fontFamily: "Noto Sans JP ExtraBold, sans-serif", // Noto Sans JP Bold を指定 fontWeight: "bold", fontSize: 22, // フォントサイズを設定 fill: "rgba(0, 0, 0, 0.7)" // フォントの色を黒にし、透明度を0.85に設定 }) ) ] }) )4a:[{"id":"9dae0f9fc75a9f0cd0c7c9bd1486251b303c63cc97ea928bb53f688946ca91ac598199579e2f31c4c5a9540e48c7864f7d321ff073ef1015bc2a5a23be544f3e","href":"https://static.observableusercontent.com/files/9dae0f9fc75a9f0cd0c7c9bd1486251b303c63cc97ea928bb53f688946ca91ac598199579e2f31c4c5a9540e48c7864f7d321ff073ef1015bc2a5a23be544f3e","name":"231225_令和ロマン_シシガシラ_さや香_カベポスター_マユリカ_ヤーレンズ_真空ジェシカ_ダンビラムーチョ_くらげ_モグライダー_24hours.csv","type":"text/csv","lastModified":1703465022842.083,"size":1576681}] 29:{"id":"7c128fb809ea6e0a","slug":null,"title":"Visualize the number of X posts by M1 Grand Prix finalists","thumbnail":"e546ad65b82e90b483e437f7adc38ae18bf113ac3ba0dfafe5dccbdc40418527","access_level":"public","create_time":"$D2023-12-25T00:41:52.758Z","update_time":"$D2023-12-25T01:17:44.451Z","view_time":null,"first_public_time":"$D2023-12-25T00:41:52.758Z","has_unpublished_edits":null,"fork":{"id":"7542e7d403828728","slug":null,"title":"Visualize the number of searches for singers expected to participate in the NHK Kohaku Uta Gassen","owner":{"id":"59dc038720f2d6ef","login":"tsurezure-lab-ws","name":"tsurezure lab. こちら徒然研究室（仮称）"}},"stars":0,"starred":false,"owner":{"type":"team","id":"59dc038720f2d6ef","login":"tsurezure-lab-ws","name":"tsurezure lab. こちら徒然研究室（仮称）","avatar_url":"https://avatars-next.observableusercontent.com/acea9591cc9d41429f95084ddae72aba731500f6a2cc2ef2c90104e712930467","tier":"starter_2024","bio":"Data x Ethnography x Visualization / Python\nデータとプログラミングと可視化で文化・社会・人間の不思議を研究しています。","followed_by_you":false,"follows_you":false},"version":1061,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"5dc444280c822d70","login":"tsurezure-lab","name":"tsurezure lab. 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\n M1グランプリ決勝出場者に言及する X投稿件数を可視化してみる\n

\n \n\n","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":8,"value":"$49","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":620,"value":"traffic = _nhk__interpolate","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":916,"value":"_nhk__interpolate = await FileAttachment(\"231225_令和ロマン_シシガシラ_さや香_カベポスター_マユリカ_ヤーレンズ_真空ジェシカ_ダンビラムーチョ_くらげ_モグライダー_24hours.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"_nhk__interpolate","database":"$undefined"},{"id":618,"value":"_nhk_music_expo_interpolated_melt2Csv = await FileAttachment(\"231225_令和ロマン_シシガシラ_さや香_カベポスター_マユリカ_ヤーレンズ_真空ジェシカ_ダンビラムーチョ_くらげ_モグライダー_24hours.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"_nhk_music_expo_interpolated_melt2Csv","database":"$undefined"},{"id":4,"value":"// traffic = FileAttachment(\"230914_NHK_MUSIC_EXPO_interpolated_melt@2.csv.csv\").csv({typed: true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":770,"value":"import { addTooltips } from \"@mkfreeman/plot-tooltip\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":772,"value":"// // valueに基づいてアルファ値を計算する関数\n// function calculateAlpha(value) {\n// // valueの値に応じてアルファ値を0から1の範囲で調整\n// const minAlpha = 0.2; // 最小のアルファ値\n// const maxAlpha = 0.9; // 最大のアルファ値\n// const normalizedvalue = (value - 0.2) / (0.9 - 0.2);\n// return minAlpha + (maxAlpha - minAlpha) * normalizedvalue;\n// }","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":911,"value":"_NewJeansOrNewjeans_MrsGreenAppleOrMrsgreena = await FileAttachment(\"230916_-New Jeans- OR NewJeans_-Mrs. GREEN APPLE- OR MrsGREENAPPLE_ENHYPEN_新しい学校のリーダーズ OR ATARASHIIGAKKO_-Travis Japan- OR TravisJapan_andTEAM_YOASOBI_#SEVENTEEN_30.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"_NewJeansOrNewjeans_MrsGreenAppleOrMrsgreena","database":"$undefined"},{"id":1058,"value":"// データセットの各日時に9時間を加算\ntraffic.forEach((d) => {\n d.Minute_Timestamp = d3.timeHour.offset(new Date(d.Minute_Timestamp), 9);\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W4a","stdlib":"1"}} 24:null