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    # ECharts 大數據視覺化實踐 - 張雯莉 (羨轍) {%hackmd j86FNbMoRoeN4Xn0pg5ofw %} http://zhangwenli.com/ 開場播3分鐘的DEMO影片 >ECharts的影片其實可撥到40分鐘 >但是不能直接播40分鐘的DEMO影片 >因為會有公費旅遊之嫌 > [name=講者] ### 千萬級數據渲染優化 4k螢幕約百萬級,表示要顯示千萬級數據的話,一個點得顯示多個像素 預計算 Eg. 採樣: 1000個點採樣成1個點 #### 特定場景的優化 階段式顯示 放大才會顯示細節 #### 程序層面的優化 每設置樣式 -> 繪製一個點 => 效率太低 垃圾回收5ms的成本 高FPS時不可接受 #### 用戶感官的優化 漸進式渲染 每加載一部份的layout 就渲染 讓用戶不會感覺到畫面延遲 在地圖上移動時 canvas會把整個畫面重畫 solution: 使用webGL渲染,只需改變camera WebGL不用重繪 是鏡頭的切換 #### 加載數據的優化 1. 使用[Typed Array](https://developer.mozilla.org/zh-TW/docs/Web/JavaScript/Typed_arrays) ## WebGL渲染實踐與經驗 三維圖表的渲染 點: 好處-移動畫面視角時點不會變形,更方便觀察 線: WebGL於不同顯卡上會有不同的線條顯示效果 面: ear-clipping 裁耳朵:在畫面上找出最像耳朵的地方裁出,重複步驟直到整個面都變成三角形組成 關係圖的力引導: webGL GPGPU 加速 位置關係做成紋理圖 > 傳入著色器>做成力返(force)圖? > 傳入著色器 > 反覆迭代 基於物理的渲染 PBG ###### tags: `MW18`

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