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timogrossenbacher.ch | ||
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www.cedricscherer.com
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| | | | | Discover how to effortlessly generate custom and even complex graphics for subsets of your data by seamlessly integrating {ggplot2}'s versatile plotting functionalities with {purrr}'s powerful functional programing capabilities. This is especially helpful for data featuring many categories or step-by-step graphical storytelling | |
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tdhock.github.io
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| | | | | Statistical machine learning researcher working on fast optimization algorithms for large data. | |
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www.civilytics.com
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| | | | | Update: Since this post was released I have co-authored an R package to make some of the items in this post easier to do. This package is called merTools and is available on CRAN and on GitHub. To read more about it, read my new post hereand check out the packageon GitHub. Introduction First of [...] | |
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ouzor.github.io
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| | | A minireview of R packages ggvis, rCharts, plotly and googleVis for interactive visualizations | ||