25:["$","title",null,{"children":"Visualization of search volume for singers appearing on Music Station 3-hour SP | tsurezure lab. こちら徒然研究室（仮称） | Observable"}] 49:T9ab,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: "Google Trendsより徒然研究室（仮称）が2023年9月29日作成。*印の歌手は一意のトピックではなく検索キーワード。", height: 675, width: 1400, marginTop: 50, marginBottom: 0, marginLeft: 185, // marginRight: 50, style: { // background: "rgb(250, 245, 240)", background: "#FBFAF5", fontSize: "13px", color: "rgb(60, 60, 60)" }, axis: null, x: { label: "検索日", axis: "top", round: true }, y: { domain: [-20, d3.max(traffic, (d) => d.value) / (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: "1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.keyword) // preserve input order }, facet: { data: traffic, y: "keyword" }, marks: [ Plot.areaY(traffic, { x: "timestamp", y: "value", z: "keyword", fill: "value", fillOpacity: 0.65, // fill: (d) => `rgba(0, 0, 255, ${calculateAlpha(d.value)})`, // valueに基づいてアルファ値を計算して適用 sort: "timestamp", curve: "catmull-rom", title: (d) => `${d.keyword} 時刻 ${d.timestamp} 検索ボリューム: ${d.value}` }), Plot.lineY(traffic, { x: "timestamp", y: "value", z: "keyword", curve: "catmull-rom", strokeWidth: 1, sort: "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.timestamp), text: "keyword", dx: -5, dy: -5, frameAnchor: "right", fontFamily: "Noto Sans JP ExtraBold, sans-serif", // Noto Sans JP Bold を指定 fontWeight: "bold", fontSize: 17, // 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 }) ) ] }) 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\n Mステ3時間SP出演歌手の検索ボリュームを可視化してみる\n

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