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我们书籍中使用的数据大部分是小数据集,高质量的小数据集甚至比大数据集更厉害(强调数据质量)。作为教学,小数据集也够了,但是作为工业级应用,大数据集上的可视化该如何操作,这个问题要思考一下?有很多花哨的可视化图形怎么迁移到大数据集上,或者现成的可视化方案
比如 mapdeck 或者 deckgl一些基于 GPU 渲染的 WebGL 比如 Gephi ~10M 顶点和边
When Small Data beats Big Data
The text was updated successfully, but these errors were encountered:
比如 https://github.com/mtennekes/tabplot 包基于条形图 bar plot 可视化大型数据集,估计可以达到 100M https://CRAN.R-project.org/package=tabplot
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https://github.com/plotly/dash-sample-apps/tree/master/apps/dashr-uber-rasterizer
plotly 和 rasterly 结合 shiny 可视化 Uber 出行数据集 450 万条记录
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我们书籍中使用的数据大部分是小数据集,高质量的小数据集甚至比大数据集更厉害(强调数据质量)。作为教学,小数据集也够了,但是作为工业级应用,大数据集上的可视化该如何操作,这个问题要思考一下?有很多花哨的可视化图形怎么迁移到大数据集上,或者现成的可视化方案
比如 mapdeck 或者 deckgl一些基于 GPU 渲染的 WebGL
比如 Gephi ~10M 顶点和边
When Small Data beats Big Data
The text was updated successfully, but these errors were encountered: