https://datasciencela.github.io/tag/d3-js/Recent content in d3.js 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>https://datasciencela.github.io/interactive-visualizations-from-r-using-rcharts/Thu, 18 Sep 2014 14:26:20 -0700https://datasciencela.github.io/interactive-visualizations-from-r-using-rcharts/<p>At <a href="http://user2014.stat.ucla.edu/">useR! 2014</a> <a href="https://github.com/ramnathv">Ramnath Vaidyanathan</a> gave a tutorial and a presentation on one of his current project, <a href="http://ramnathv.github.io/rCharts/">rCharts</a>. This R package allows you to create, customize and share interactive visualizations straight from R. rCharts leverages several existing javascript visualization libraries such as <a href="https://www.polychart.com/">polychart</a>, <a href="http://morrisjs.github.io/morris.js/">MorrisJS</a>, <a href="http://nvd3.org/">NVD3</a>, <a href="http://tenxer.github.io/xcharts/">xCharts</a>, <a href="http://www.highcharts.com/">HighCharts</a>, <a href="http://leafletjs.com/">leaflet</a>, and <a href="http://code.shutterstock.com/rickshaw/">Rickshaw</a>, providing R users a fantastic array of new features and visualization styles.</p>