Alex Wein @alexwein@vis.social

Sketchy coloring extension for ggplot! https://xvrdm.github.io/ggrough/

Thanks for all the replies to my data manipulation tooling. The dplyr library in R is one of my absolute favorite things in the world (I'm not exaggerating). I've been mulling over how to persuade/orient JS folks. These answers were super helpful.

I've been going through some of my old chart-y work. This fella -- from my undergrad topology thesis 10 years ago -- I'm inordinately proud of this.

A question for the D3 pros: what tools do you use for data munging? Javascript, Spreadsheets, SQL (or an ORM), R or Python, something else? If you use JS for most of it, I'd love to know more specifics regarding libraries (or maybe you're just aces with Array.prototype methods)

I'm having a hard time googling for a chart, can anyone help?...there was Viz that went viral earlier in the year: my memory is the first time Trump tweeted about the Mueller investigate, a cable news ran something that looked like this:

I signed an offer letter yesterday, and pending a background check, will be starting a new job in 10 days! I'll be a data engineer, building and maintaining the pipelines and dashboards across a decent sized tech company. After 3 months of coding boot camp and 2 months of job searching, I am fucking pumped to get to work. 📈

Amy Cesal's personal website makes me want to plagiarize http://www.amycesal.com/

She's also doing a really amazing project making charts with Play-Doh (https://twitter.com/hashtag/daydohviz?src=hash)

I spent the last 45 minutes or so with r2d3! Passing data from R to JS is magically smooth, and it takes away some of intimidating setup of D3. I'm still getting my bearings, but it's really promising...now I just gotta learn D3.

I haven't tried it yet, but RStudio just rolled out experimental support for previewing D3 scripts. R to D3 is a pretty scary bridge that I haven't fully made it across, but the r2d3 package looks like it makes the journey a lot easier.
https://rstudio.github.io/r2d3/

AND: If anyone would like one of these charts and/or a spreadsheet containing, just let me know your Spotify username, and I'll hook you up.

The long playlists are mostly collections of songs with a specific theme. My favorite is "Threes Threes Threes", with songs like 'Fun, Fun, Fun', 'Please, Please, Please', and 'Bills, Bills Bills' https://open.spotify.com/user/129342083/playlist/741ULT9azMzflldLNatzvK?si=guHhVdsgT6yiYMgx-KqzWw

I pulled my playlist data out of spotify a while ago. Here's a chart of each playlist as an interval from when the first and last song were added. Mostly I make playlists and don't update them, but a few, I find new songs to add to years after they started. Y-position doesn't meany anything.

#here's the code
businesses %>%
ggplot(aes(x = long, y = lat)) +
geom_point(alpha = .01, color = '#672d7e') +
coord_fixed() + theme_void() +
theme(panel.background = element_rect(fill = '#c39dd9'))

I don't have a lot of experience with making maps, so when I was asked to make a viz of businesses in SF, I stick with a scatterplot. (made with ggplot2...don't draw any conclusions from the data)

book rec: Understanding Comics by Scott McCloud. I found it really inspiring. It made me want to play with hand-drawing charts, but also want to think really really hard about powerpoint presentations. A really great addition to my budding data viz library.

I was psyched to find that @moritz had interviewed him within the last year. Definitely worth a listen. http://datastori.es/102-comics-and-visual-storytelling-with-scott-mccloud/

A recent little project I made Boggle-clone in R Shiny, generating boards in ggplot2 (it's pretty rough around the edges, but I'm super proud of it)

alexwein.shinyapps.io/shinybog

Here goes nothing