<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Visualization on DataScience.LA</title><link>https://datasciencela.github.io/tag/data-visualization/</link><description>Recent content in Data Visualization on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Fri, 12 Dec 2014 10:35:30 -0800</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/data-visualization/index.xml" rel="self" type="application/rss+xml"/><item><title>Meetup: DataVis with Plotly on December 16th</title><link>https://datasciencela.github.io/meetup-datavis-with-plotly-on-december-16th/</link><pubDate>Fri, 12 Dec 2014 10:35:30 -0800</pubDate><guid>https://datasciencela.github.io/meetup-datavis-with-plotly-on-december-16th/</guid><description>&lt;p&gt;&lt;a href="https://plot.ly/"&gt;Plotly&lt;/a&gt; is a  web-based platform for making graphs and analyzing data. Plotly&amp;rsquo;s APIs and web app let teams work together online to make 2D, 3D, and streaming graphs using R, Python, MATLAB, Julia, SAS, and and Excel, all together, all in one platform. The goal is to support technical and non-technical collaboration at all levels. Plotly translates ggplot2, matplotlib, and MATLAB plots into interactive, web-based, shareable plots.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/meetup-datavis-with-plotly-on-december-16th/feature.png"/></item></channel></rss>