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<title>Tidy Tuesday</title>
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<h1 class="column">Tidy Tuesday</h1>
<p class="column"><a href="https://github.com/rfordatascience/tidytuesday" target="_blank">Tidy Tuesday</a> is a weekly data project from the R4DS Online Learning Community aimed at helping people learn how to manipulate data using R. Every week they upload a new dataset and invite people to explore and chart the data. I'll upload my attempts here.</p>
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<h2 class="column">African American Achievements</h2>
<img class = "column" src="black-achievements/black-achievements.png">
<p>This week's data was a series of "frists" in African American History. For example: the first free settlement, first African American librarian of congress, and first African American owned and operated radio station.</p>
<p class="column">Code can be found <a href="black-achievements/analysis-black-achievements.rmd">here</a>.</p>
<h2 class="column">Cocktails</h2>
<img class = "column" src="cocktails/top-twenty.png">
<p>This week I started working my way through the R4DS textbook, and it has been really useful. So far it's been really useful. A lot of things that I'd learned befrore, but hadn't stuck finally clicked. This week I made two plots, one showing the top twenty ingredients in the Mr. Boston cocktails dataset, and one showing the top ten by category.</p>
<p>I dashed both of these off pretty fast; I wanted to practice selecting, grouping, and filtering data, then get back to the book. I nan ideal world I'd spend more time cleaning up the visuals, but it's been a busy week.</p>
<img class = "column long" src="cocktails/cocktails-by-category.png">
<p class="column">Code can be found <a href="cocktails/cocktails_final.rmd">here</a>.</p>
<h2 class="column">Tour de France (4/07/20)</h2>
<img class = "column" src="2020-04-07-tour/figs/distance_by_year.png">
<p class="column">Code can be found <a href="https://github.com/benleamon/tidy-tuesday/tree/master/2020-04-07-tour">here</a>.</p>
<p>This week I opeted for a relatively simple graph and spent more time bushing up on theming in ggplot. For the theme, I used a paired-down version of the bbplot function from the BBC. The BBC has a really good write-up on how they do their plots <a href="https://bbc.github.io/rcookbook/#how_to_create_bbc_style_graphics">here</a>. I like the idea of developing a house-style and writing functions to streamline it. Definitely something to look at in the future.</p>
<h2 class="column">Beer (3/31/20)</h2>
<img src="2020-03-31-beer/figs/beer_states.png">
<p class="column">Code can be found <a href="2020-03-31-beer/beer_states.r">here</a>.</p>
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