https://datasciencela.github.io/tag/bokeh/Recent content in bokeh on DataScience.LAHugo -- gohugo.ioen-usDataScience.LA, 2014–2021 · Read-only archive: comments are closed.Tue, 30 Dec 2014 15:55:03 -0800https://datasciencela.github.io/datavis-with-plot-ly-plotlygraphs-meetup-summary/Tue, 30 Dec 2014 15:55:03 -0800https://datasciencela.github.io/datavis-with-plot-ly-plotlygraphs-meetup-summary/<p>It pains me to admit it, but even though I had visited their site, created an account, and played around with their tools, I didn’t really get the value proposition behind <a href="https://plot.ly/">Plot.ly</a>. I already use <a href="http://ggplot2.org/">ggplot</a>, <a href="http://bokeh.pydata.org/en/latest/">bokeh</a>, and <a href="http://d3js.org/">d3.js</a>, I already use <a href="https://datasciencela.github.io/yihui-xie-the-user-2014-interview/">knitr</a> and <a href="https://datasciencela.github.io/python-data-science-meetup-summary-data-science-with-python/">ipython</a> notebooks, so why do I need a new way of posting my plots on a web page?</p>