#TidyTuesday

Each week, R For Data Science online community posts a new data set for #TidyTuesday on this page, and individuals in the R community analyze or simply plot the data in a creative and interesting way, posting their results on Twitter with #TidyTuesday. These challenges have given me an opportunity to learn and practice new ways to plot and explore data sets, as well as the chance to incorporate new practices (e.g. Github) into my workflow without the risk of learning new things while directly interacting with my research code. When I don’t have the time to look at the data myself, I enjoy watching David Robinson’s screencasts, where I learn many tips and tricks to code more efficiently.

Below are a few examples of plots I have made for #TidyTuesday! You can find all the code on my Github page.

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