{"id":12412,"date":"2019-07-15T16:21:19","date_gmt":"2019-07-15T21:21:19","guid":{"rendered":"https:\/\/rud.is\/b\/?p=12412"},"modified":"2019-07-15T16:21:19","modified_gmt":"2019-07-15T21:21:19","slug":"quick-hit-a-different-diminutive-look-at-distributions-with-ggeconodist","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2019\/07\/15\/quick-hit-a-different-diminutive-look-at-distributions-with-ggeconodist\/","title":{"rendered":"Quick Hit: A Different (Diminutive) Look At Distributions With {ggeconodist}"},"content":{"rendered":"

Despite being a full-on denizen of all things digital I receive a fair number of dead-tree print magazines as there’s nothing quite like seeing an amazing, large, full-color print data-driven visualization up close and personal. I also like supporting data journalism through the subscriptions since without cash we will only have insane, extreme left\/right-wing perspectives out there.<\/p>\n

One of these publications is The Economist<\/a> (I’d subscribe to the Financial Times as well for the non-liberal perspective but I don’t need another mortgage payment right now). The graphics folks at The Economist are Top Notch\u2122 and a great source of inspiration to “do better” when cranking out visuals.<\/p>\n

After reading a recent issue, one of their visualization styles stuck in my head. Specifically, the one from this story on the costs of a mammogram<\/a>. I’ve put it below:
\n\"\"<\/a><\/p>\n

Essentially it’s a boxplot with outliers removed along with significantly different aesthetics than the one we’re all used to seeing. I would not use this for exploratory data analysis or working with other data science team members when poking at a problem but I really like the idea of making “distributions” easier to consume for general audiences and believe The Economist graphics folks have done a superb job focusing on the fundamentals (both statistical and aesthetic).<\/p>\n

There are ways to hack something like those out manually in {ggplot2} but it would be nice to just be able to swap out something for geom_boxplot()<\/code> when deciding to go to “production” with a distribution chart. Thus begat {ggeconodist}<\/a>.<\/p>\n

Since this is just a “quick hit” post we’ll avoid some interim blathering to note that we can use {ggplot2} (and a touch<\/em> of {grid}) to make the following:<\/p>\n

\"\"<\/a><\/p>\n

with just a tiny bit of R code:<\/p>\n

library(ggeconodist)\n\nggplot(mammogram_costs, aes(x = city)) +\n  geom_econodist(\n    aes(ymin = tenth, median = median, ymax = ninetieth), stat = \"identity\"\n  ) +\n  scale_y_continuous(expand = c(0,0), position = \"right\", limits = range(0, 800)) +\n  coord_flip() +\n  labs(\n    x = NULL, y = NULL,\n    title = \"Mammoscams\",\n    subtitle = \"United States, prices for a mammogram*\\nBy metro area, 2016, $\",\n    caption = \"*For three large insurance companies\\nSource: Health Care Cost Institute\"\n  ) +\n  theme_econodist() -> gg\n\ngrid.newpage()\nleft_align(gg, c(\"subtitle\", \"title\", \"caption\")) %>% \n  add_econodist_legend(econodist_legend_grob(), below = \"subtitle\") %>% \n  grid.draw()\n<\/code><\/pre>\n
FIN<\/h3>\n
A future post (and, even — perhaps — a new screen sharing video) will describe what went into making this new geom, stat, and theme (along with some info on how I managed to reproduce data for the vis since none was provided).<\/p>\n
In the interim, hit up the CINC page<\/a> on {ggeconodist} to learn more about the package. You may<\/em> want to take a quick look at {hrbrthemes}<\/a> since it might<\/em> have some helpers for using all the required theming components.<\/p>\n
So kick the tyres, file issues\/PRs, and be on the lookout for the director’s cut of the making of {ggeconodist}.<\/p>\n","protected":false},"excerpt":{"rendered":"
Despite being a full-on denizen of all things digital I receive a fair number of dead-tree print magazines as there’s nothing quite like seeing an amazing, large, full-color print data-driven visualization up close and personal. 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The design team also often delves into experiments with data visualization and short-form infographics and the most recent issue (Sept 3, 2012) is no exception. Given my\u2026","rel":"","context":"In "Charts & Graphs"","block_context":{"text":"Charts & Graphs","link":"https:\/\/rud.is\/b\/category\/charts-graphs\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2190,"url":"https:\/\/rud.is\/b\/2013\/02\/27\/follow-upresources-grc-t18-data-analysis-and-visualization-for-security-professionals-rsac\/","url_meta":{"origin":12412,"position":1},"title":"Follow up\/Resources :: GRC-T18 \u2013 Data Analysis and Visualization for Security Professionals #RSAC","author":"hrbrmstr","date":"2013-02-27","format":false,"excerpt":"Many thanks to all who attended the talk @jayjacobs & I gave at RSA on Tuesday, February 26, 2013. It was really great to be able to talk to so many of you afterwards as well. We've enumerated quite a bit of non-slide-but-in-presentation information that we wanted to aggregate into\u2026","rel":"","context":"In "Charts & Graphs"","block_context":{"text":"Charts & Graphs","link":"https:\/\/rud.is\/b\/category\/charts-graphs\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2499,"url":"https:\/\/rud.is\/b\/2013\/05\/15\/secure360\/","url_meta":{"origin":12412,"position":2},"title":"Secure360 (@Secure360) Data Analysis & Visualization Talk Resources #Sec360","author":"hrbrmstr","date":"2013-05-15","format":false,"excerpt":"Many thanks to all who attended the talk @jayjacobs & I gave at @Secure360 on Wednesday, May 15, 2013. As promised, here are the [slides](https:\/\/dl.dropboxusercontent.com\/u\/43553\/Secure360-2013.pdf). We've enumerated quite a bit of non-slide-but-in-presentation information that we wanted to aggregate into a blog post so you can vi[sz] along at home. If\u2026","rel":"","context":"In "Charts & Graphs"","block_context":{"text":"Charts & Graphs","link":"https:\/\/rud.is\/b\/category\/charts-graphs\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4449,"url":"https:\/\/rud.is\/b\/2016\/06\/16\/your-data-vis-spidey-sense-the-need-for-a-robust-utility-belt\/","url_meta":{"origin":12412,"position":3},"title":"Your data vis “Spidey-sense” & the need for a robust “utility belt”","author":"hrbrmstr","date":"2016-06-16","format":false,"excerpt":"@theboysmithy did a [great piece](http:\/\/www.ft.com\/intl\/cms\/s\/0\/6f777c84-322b-11e6-ad39-3fee5ffe5b5b.html) on coming up with an alternate view for a timeline for an FT piece. Here's an excerpt (read the whole piece, though, it's worth it): Here is an example from a story recently featured in the FT: emerging- market populations are expected to age more\u2026","rel":"","context":"In "d3"","block_context":{"text":"d3","link":"https:\/\/rud.is\/b\/category\/d3\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/RStudio.png?fit=1200%2C642&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/RStudio.png?fit=1200%2C642&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/RStudio.png?fit=1200%2C642&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/RStudio.png?fit=1200%2C642&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/RStudio.png?fit=1200%2C642&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":2465,"url":"https:\/\/rud.is\/b\/2013\/04\/18\/sourceboston2013\/","url_meta":{"origin":12412,"position":4},"title":"SOURCE Boston (@SOURCEConf) Data Analysis & Visualization Talk Resources #srcbos13","author":"hrbrmstr","date":"2013-04-18","format":false,"excerpt":"Many thanks to all who attended the talk @jayjacobs & I gave at @SOURCEconf on Thursday, April 18, 2013. As promised, here are the [slides](https:\/\/dl.dropboxusercontent.com\/u\/43553\/SOURCE-Boston-2013.pdf) which should be much less washed out than the projector version :-) We've enumerated quite a bit of non-slide-but-in-presentation information that we wanted to aggregate\u2026","rel":"","context":"In "Big Data"","block_context":{"text":"Big Data","link":"https:\/\/rud.is\/b\/category\/big-data\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4474,"url":"https:\/\/rud.is\/b\/2016\/06\/28\/making-time-rivers-in-r\/","url_meta":{"origin":12412,"position":5},"title":"Making “Time Rivers” in R","author":"hrbrmstr","date":"2016-06-28","format":false,"excerpt":"Once again, @albertocairo notices an interesting chart and spurs pondering in the visualization community with [his post](http:\/\/www.thefunctionalart.com\/2016\/06\/defying-conventions-in-visualization.html) covering an unusual \"vertical time series\" chart produced for the print version of the NYTimes: I'm actually less concerned about the vertical time series chart component here since I agree with TAVE* Cairo\u2026","rel":"","context":"In "Charts & Graphs"","block_context":{"text":"Charts & Graphs","link":"https:\/\/rud.is\/b\/category\/charts-graphs\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/Cursor_and_RStudio-1.png?fit=1200%2C1181&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/Cursor_and_RStudio-1.png?fit=1200%2C1181&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/Cursor_and_RStudio-1.png?fit=1200%2C1181&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/Cursor_and_RStudio-1.png?fit=1200%2C1181&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/Cursor_and_RStudio-1.png?fit=1200%2C1181&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/12412","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/comments?post=12412"}],"version-history":[{"count":0,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/12412\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/media\/12427"}],"wp:attachment":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/media?parent=12412"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/categories?post=12412"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/tags?post=12412"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}