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www.rostrum.blog
| | 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
| | ouzor.github.io
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| | A minireview of R packages ggvis, rCharts, plotly and googleVis for interactive visualizations
| | ggrepel.slowkow.com
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| | zevross.com
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| One of the most powerful aspects of the R plotting package ggplot2 is the ease with which you can create multi-panel plots. With a single function you can split a single plot into many related plot...