A technical guide on using R, RSiteCatalyst, and d3Network to create Sankey charts for visualizing website visitor pathing data from Adobe Analytics.
A tutorial on creating a stacked bar chart using Seaborn and Matplotlib by overlaying data series.
A tutorial on creating network graphs to visualize website page relationships using R, RSiteCatalyst, and d3Network packages.
A tutorial on using the VennEuler.jl Julia package to recreate a data analytics language popularity diagram from survey data.
Analyzing ESA conference abstracts using LDA topic modeling to identify scientific communities and trends through text-mining techniques.
A technical guide on using Julia to integrate data from Hadoop and Teradata Aster for visualization, demonstrating its role as a 'glue' language.
Extends OBIEE performance monitoring by integrating DMS metrics and nqquery.log data into Graphite and visualizing with Grafana.
The author seeks a new name for the TYPO3-Analytics open-source project, as it has evolved beyond TYPO3-specific analytics.
Introducing mpld3's plugin framework for creating interactive matplotlib visualizations in the browser using D3.js.
Introducing mpld3, a tool that creates interactive D3.js visualizations from matplotlib plots for use in IPython notebooks.
A tutorial on creating customizable heat maps in R using the gplots and RColorBrewer packages for data visualization.
A tutorial on creating customizable heat maps in R using the gplots package, covering installation, data preparation, and plot customization.
A technical tutorial on formatting ggplot2 plots for scientific publication, including design adjustments and using Inkscape for final edits.
A developer shares lessons from September, covering JavaScript data visualization libraries, Node.js, Bower, CSS frameworks, Jenkins CI, and Ruby gems.
Matplotlib 1.3 introduces a built-in plt.xkcd() function to easily create plots in the style of the popular XKCD webcomic.
A blog post demonstrating how to create a puzzling shape animation using Python's matplotlib and IPython notebook.
A tutorial on embedding matplotlib animations directly into IPython notebooks using HTML5 video encoding and custom display functions.
A PyCon/PyData attendee discusses the state of Python data visualization, comparing Matplotlib's strengths and limitations with newer tools like NodeBox OpenGL.
A tutorial on using R and the Google Analytics API to analyze and visualize '(not provided)' organic search data.
A tutorial video demonstrating how to overlay histograms with normal curves, density curves, and secondary data series in R.
